InstructionsACTCOEFF.XLSThis workbook will calculate activities, activity coefficients, and excess Gibbs energiesfor several activity models. MargulesWorksheet using the Margules equation with two adjustable parameters.Regular A spreadsheet to calculate VLE for methanol + benzene using van Laar and Scatchard/Hildbrand theory.NRTLBinary NRTL model.NRTL5Multicomponent NRTL with up to 5 components.UNIQUACA spreadsheet to use with the binary UNIQUAC activity coefficient model.UNIQUAC5A spreadsheet to use UNIQUAC with up to 5 components.ANTOINETable of Antoine Coefficients.UNIFAC (VLE)A spreadsheet to use with the UNIFAC activity coefficient model for VLE for up to 5 components.aij-UNIFAC (VLE)Database of parameters used by UNIFAC for VLE.UNIFAC (LLEa,b)Two spreadsheets to use with the UNIFAC activity coefficient model for LLE for up to 5 components.aij-UNIFAC (LLE)Database of parameters used by UNIFAC for LLE.LLELiquid + Liquid equilibria: Water + MEK example used in the text.Worksheets are protected. Values in blue may be changed without unlocking the spreadsheet, which willpermit most common calculations.Copyright 1997-2012, Carl Lira, Richard ElliottFor use with "Introductory Chemical Engineering Thermodynamics" by J.R. Elliott, C.T. Lirawww.egr.msu.edu/~lira/thermtxt.htm
MargulesMargules EquationGE/RT = x1 x2 ( A21 x1 + A12 x2 )Margules ParametersA12_A21_1.8611.6365Table x1 increment0.05x1x2gamma1gamma2activity1activity2G(mix) /RT0.01.06.430163721139841.00.01.00.00.050.955.2555852854677661.00517094844374740.26277926427338830.95491240102156-0.110650930845872630.10.94.3537650522542811.0206156258651410.435376505225428150.918554063278627-0.15961347339144820.150000000000000020.853.6543276580692971.04645511877098830.54814914871039470.88948685095534-0.189725150305990940.20.83.1067215307931441.08310075832238220.62134430615862880.8664806066579058-0.20982642353818770.250.752.6742577761844831.13125555328368170.66856444404612070.8484416649627613-0.223921082118808370.30.72.33004364695297551.19192780436377350.69901309408589260.8343494630546414-0.23419780205489360.350.652.0541797605815471.2664565402161010.71896291620354150.8231967511404656-0.241944951534632470.399999999999999970.60000000000000011.83180899418435231.35654903413320380.73272359767374080.8139294204799224-0.247923667009256360.449999999999999960.551.65174511590163161.46433120811052020.74328530215573420.8053821644607861-0.252545001213588470.499999999999999940.51.50549989621135841.59241224218891220.75274994810567910.7962061210944561-0.25595968055994540.54999999999999990.450000000000000071.38658671293275981.74396520669811460.76262269211301780.7847843430141517-0.25810137621358840.60.41.29001777842058841.92282604058430380.7740106670523530.7691304162337216-0.25869966700925640.650.351.21193817424864842.1336137214696620.78775981326162150.7467648025143817-0.25726707653463240.70000000000000010.299999999999999931.14935739587463552.38187501751633860.80455017711224490.7145625052549014-0.253055802054893530..
This document describes the development of a model-based neural controller for a distillation column. A neural network is trained to model the relationship between manipulated and controlled variables. The network is then inverted to determine the necessary manipulated variable adjustments to compensate for disturbances. The neural controller is compared to a conventional temperature controller and a neural inferential controller. Simulation results show the neural controller responds faster to disturbances and setpoint changes. The key advantage of the neural controller is its ability to directly determine the needed control action through process modeling and inversion.
Shortcut Design Method for Multistage Binary Distillation via MS-ExceIJERA Editor
Multistage distillation is most widely used industrial method for separating chemical mixtures with high energy consumptions especially when relative volatility of key components is lower than 1.5. The McCabe Thiele is considered to be the simplest and perhaps most instructive method for the conceptual design of binary distillation column which is still widely used, mainly for quick preliminary calculations. In this present work, we provide a numerical solution to a McCabe-Thiele method to find out theoretical number of stages for ideal and non-ideal binary system, reflux ratio, condenser duty, reboiler duty, each plate composition inside the column. Each and every point related to McCabe-Thiele in MS-Excel to give quick column dimensions are discussed in details
The document provides an overview of distillation and APV's role in developing distillation systems. It discusses the basic principles of distillation, including vapor-liquid equilibrium and how differences in vapor pressure allow for separation of components. Distillation involves boiling the mixture to produce vapor with a different composition than the liquid, and then condensing and reboiling to gradually concentrate components. The key factors that determine how easily components can be separated are the relative volatility and vapor pressure. APV has over 70 years of experience providing customized distillation systems and services to various industries.
The document presents a compartment-based model to describe the degradation kinetics of a peptide substrate reporter (VI-B) in five cell cultures. The model uses a system of differential equations to track the concentration of the reporter and its fragments over time. Parameters of the model are fitted to time-series data from the cultures. Results show variation in degradation rates between cultures and fragments, revealing targets of peptidases. The model has potential utility in peptide substrate reporter design.
New calculation of thetray numbers for Debutanizer Tower in BIPCinventionjournals
International Journal of Engineering and Science Invention (IJESI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJESI publishes research articles and reviews within the whole field Engineering Science and Technology, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
New calculation of thetray numbers for Debutanizer Tower in BIPCinventionjournals
The document describes methods for calculating the number of trays in a debutanizer tower. It presents data on the feed, overhead, and bottoms compositions. It then calculates the relative volatilities of components using vapor pressure data. The Montross and Underwood methods are used to calculate the minimum reflux ratio and number of theoretical trays. For the debutanizer tower, the Montross method estimates the number of trays is 18.5% higher than the minimum, while the Underwood method estimates 48.5% higher, indicating overdesign.
This document proposes an intelligent control system using artificial neural networks to control an extractive distillation process for producing anhydrous ethanol. The control system aims to simultaneously reject disturbances in the azeotropic ethanol-water feed and allow changes to the ethanol product specification, while maintaining minimum energy consumption. The control system would determine new setpoints for existing controllers in the extractive and recovery distillation columns. Simulation results showed the intelligent control system had superior performance compared to a conventional control system in the presence of feed disturbances or specification changes.
1) The document describes the modeling of a flash vaporizer unit that separates a binary mixture of water and ethanol. Both stationary and dynamic models are developed.
2) For the stationary model, component balances, equilibrium equations, summation equations, and an energy balance are applied. The Wilson activity coefficient model is used.
3) Controller equations for level, pressure, and temperature are developed for the dynamic model. Degree of freedom analysis is performed.
This document describes the development of a model-based neural controller for a distillation column. A neural network is trained to model the relationship between manipulated and controlled variables. The network is then inverted to determine the necessary manipulated variable adjustments to compensate for disturbances. The neural controller is compared to a conventional temperature controller and a neural inferential controller. Simulation results show the neural controller responds faster to disturbances and setpoint changes. The key advantage of the neural controller is its ability to directly determine the needed control action through process modeling and inversion.
Shortcut Design Method for Multistage Binary Distillation via MS-ExceIJERA Editor
Multistage distillation is most widely used industrial method for separating chemical mixtures with high energy consumptions especially when relative volatility of key components is lower than 1.5. The McCabe Thiele is considered to be the simplest and perhaps most instructive method for the conceptual design of binary distillation column which is still widely used, mainly for quick preliminary calculations. In this present work, we provide a numerical solution to a McCabe-Thiele method to find out theoretical number of stages for ideal and non-ideal binary system, reflux ratio, condenser duty, reboiler duty, each plate composition inside the column. Each and every point related to McCabe-Thiele in MS-Excel to give quick column dimensions are discussed in details
The document provides an overview of distillation and APV's role in developing distillation systems. It discusses the basic principles of distillation, including vapor-liquid equilibrium and how differences in vapor pressure allow for separation of components. Distillation involves boiling the mixture to produce vapor with a different composition than the liquid, and then condensing and reboiling to gradually concentrate components. The key factors that determine how easily components can be separated are the relative volatility and vapor pressure. APV has over 70 years of experience providing customized distillation systems and services to various industries.
The document presents a compartment-based model to describe the degradation kinetics of a peptide substrate reporter (VI-B) in five cell cultures. The model uses a system of differential equations to track the concentration of the reporter and its fragments over time. Parameters of the model are fitted to time-series data from the cultures. Results show variation in degradation rates between cultures and fragments, revealing targets of peptidases. The model has potential utility in peptide substrate reporter design.
New calculation of thetray numbers for Debutanizer Tower in BIPCinventionjournals
International Journal of Engineering and Science Invention (IJESI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJESI publishes research articles and reviews within the whole field Engineering Science and Technology, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
New calculation of thetray numbers for Debutanizer Tower in BIPCinventionjournals
The document describes methods for calculating the number of trays in a debutanizer tower. It presents data on the feed, overhead, and bottoms compositions. It then calculates the relative volatilities of components using vapor pressure data. The Montross and Underwood methods are used to calculate the minimum reflux ratio and number of theoretical trays. For the debutanizer tower, the Montross method estimates the number of trays is 18.5% higher than the minimum, while the Underwood method estimates 48.5% higher, indicating overdesign.
This document proposes an intelligent control system using artificial neural networks to control an extractive distillation process for producing anhydrous ethanol. The control system aims to simultaneously reject disturbances in the azeotropic ethanol-water feed and allow changes to the ethanol product specification, while maintaining minimum energy consumption. The control system would determine new setpoints for existing controllers in the extractive and recovery distillation columns. Simulation results showed the intelligent control system had superior performance compared to a conventional control system in the presence of feed disturbances or specification changes.
1) The document describes the modeling of a flash vaporizer unit that separates a binary mixture of water and ethanol. Both stationary and dynamic models are developed.
2) For the stationary model, component balances, equilibrium equations, summation equations, and an energy balance are applied. The Wilson activity coefficient model is used.
3) Controller equations for level, pressure, and temperature are developed for the dynamic model. Degree of freedom analysis is performed.
The document describes combining the UNIWAALS equation of state with an algorithm for calculating simultaneous chemical and phase equilibria (CPE). This allows CPE calculations for reactive systems containing gases, polar compounds, or both over a broad range of temperatures and pressures using a single thermodynamic model. Examples are given applying the new procedure to different multicomponent reaction systems. The results show good agreement with previous calculations using a different equation of state, demonstrating the capability of performing CPE calculations with UNIWAALS.
Jean-Paul Gibson: Analysis Of An Open Feedwater Heater SystemJean-Paul Gibson
People often look surprised when I tell them that Thermodynamics was probably one of my favorite classes in school. This was the final project for my Thermo II class and was intended to be done in groups. I wanted to challenge myself to a near unnecessary limit by completing this entire project myself. The purpose of this project was to determine the optimum operating pressure for the feedwater heater for a power cycle (from a selected problem in the textbook). However the primary focus, and most difficult task, was writing a program in C++ to calculate multiple values for a selected problem in our textbook. I quite literally had to teach myself how to program in C++ well beyond the basics I had learned in an intro class. This program had to be capable of cross referencing multiple reference tables in the back of the book, each having dozens of values which had to be manually typed in. Which reference tables it pulled values from was dependent on the user inputted turbine efficiency and feedwater heater pressure. It easily took me over a month to debug and test this program to ensure it was always going to the correct reference tables to pull data when outputting the calculations it performed.
Update on 7/2/2016: I did attempt to make another program that would allow the user to type in any feedwater heater pressure rather than make a selection from values there was a reference table for in the back of the back. The program used a method of interpolation to obtain all the data needed to perform all the calculations that were outputted. I don't remember the last time I attempted to run that version of the program, but I seem to recall getting impossible answers outputted. This indicated to me that a more complicated method of interpolating values was required, or I just couldn't get it to work correctly. I ultimately decided against pursuing that version of the program any further. Just getting it work correctly with a predefined list of pressures to select from was difficult enough.
The document describes an experiment using a NaI(TI) detector and multi-channel analyzer to identify an unknown radioactive element. Students calibrated the analyzer using cobalt-60, cesium-137, and barium-133 sources. Analysis of calibration data allowed the unknown source to be identified as sodium-22 based on its 1,115 keV gamma ray peak. The experiment demonstrated that gamma-ray spectroscopy is effective for radioactive source identification.
Multi-Machine Stability Using Dynamic Inversion Technique IJECEIAES
Stability studies of multi machine system are a major concern to power system engineers due to the increasing complexity involved. This paper deals with the application of a nonlinear technique called Dynamic Inversion, to TCSC for the improvement of stability of multi-machine system. The transient stability studies for various cases: without any controller, with 75% line compensation and with Dynamic Inversion technique, are compared. The critical clearing time as well as the maximum loading ability is also discussed. The result for the nonlinear controller is found to be better than all the other cases.
This document discusses two separation processes for an azeotropic mixture of isobutyl alcohol and isobutyl acetate: extractive distillation using n-butyl propionate as a solvent, and pressure-swing distillation. The document describes simulations of both processes carried out using Aspen HYSYS and DISTIL software with UNIQUAC activity models and experimentally obtained binary parameters. The simulations were used to optimize the processes and evaluate them economically. The results showed that for treating 12,000 metric tons per year of the mixture, pressure-swing distillation was more economically attractive than extractive distillation using n-butyl propionate as the solvent.
Title of the ReportA. Partner, B. Partner, and C. Partner.docxjuliennehar
Title of the Report
A. Partner, B. Partner, and C. Partner
Abstract
The report abstract is a short summary of the report. It is usually one paragraph (100-200 words) and should include
about one or two sentences on each of the following main points:
1. Purpose of the experiment
2. Key results
3. Major points of discussion
4. Main conclusions
Tip: It may be helpful if you complete the other sections of the report before writing the abstract. You can basically
draw these four main points from them.
example: In this experiment a very important physical effect was studied by measuring the dependence of a quantity
V of the quantity X for two different sample temperatures. The experimental measurements confirmed the quadratic
dependence V = kX2 predicted by Someone’s first law. The value of the mystery parameter k = 15.4 ± 0.5 s was
extracted from the fit. This value is not consistent with the theoretically predicted ktheory = 17.34 s. This discrepancy
is attributed to low efficiency of the V -detector.
1. Introduction
This section is also often referred to as the purpose or
plan. It includes two main categories:
Purpose: It usually is expressed in one or two sen-
tences that include the main method used for accomplish-
ing the purpose of the experiment.
Ex: The purpose of the experiment was to determine
the mass of an ion using the mass spectrometer.
Background and theory: related to the experiment.
This includes explanations of theories, methods or equa-
tions used, etc.; for the example above, you might want to
explain the theory behind mass spectrometer and a short
description about the process and setup you used in the
experiment. It is important to remember that report needs
to be as straightforward as possible. You should comprise
only as much information as needed for the reader to un-
derstand the purpose and methods. Your should also pro-
vide additional information such as a hypothesis (what is
expected to happen in the experiment based on the theory)
or safety information. The main focus of the introduction
mainly focuses on supporting the reader to understand the
purpose, methods, and reasons for these particular meth-
ods.Purpose of the experiment
Example:
Calculation of the pressure coefficient Cp
From the lectures notes, Cp can be obtained by the eq.
(1)
− Cp =
P − P∞
1
2 ∗ ρ ∗ U2∞
(1)
Where P and P∞ are respectively the local pressure and
the atmosphere pressure far away. U∞ is the wind velocity
Preprint submitted to supervisor March 4, 2020
of the wind tunnel.
Calculation of the lift coefficient CL
First, the expression for the pressure force acting nor-
mal to the chord line is given in the lecture notes as eq.(2),
Cn =
∮
Cp(−n̂ ∗ ŷ)dl, (2)
with Cp the coefficient of lift and n̂ the unit normal
vector pointing out of the surface, ŷ is the unit vector in
the direction normal to the chord line. dl is the length of an
infinitesimal line element. Similarly, the axial component
can be express as eq.(3)
Ca ...
Elizabeth Towle Batch Distillation of Ethanol DesignElizabeth Towle
This document is a project report analyzing a batch distillation process to separate ethanol and water. Theoretical calculations using the Rayleigh equation and Aspen simulation software are compared to experimental data. The Rayleigh equation best matches the average distillate composition and total distillate volume, while Aspen POLYSRK most accurately predicts distillation time. Varying the column diameter and reflux ratio in Aspen affects distillation parameters like average distillate composition and time. Overall, the theoretical models provide reasonable approximations of the experimental batch distillation, validating it as a basis for process design.
This document provides instructions for using an energy balance assessment tool (EBAT) to estimate the energy usage and carbon emissions from urban water systems. It explains the tool's worksheets and input parameters for estimating supply, households, industry, treatment and equipment details. Key results are presented on energy consumption and carbon emissions for different stages of the water cycle. Background data and calculations are also included.
#تواصل_تطوير
المحاضرة رقم 179
الدكتور / علي المراكبي
استشاري الهندسة الميكانيكية وخبير ترشيد الطاقة
بعنوان
"اقتصاديات إنتاج الكهرباء بالتكنولوجيات المختلفة"
يوم الإثنين 24 أكتوبر 2022
الثامنة مساء توقيت القاهرة
التاسعة مساء توقيت مكة المكرمة
و الحضور عبر تطبيق زووم
https://us02web.zoom.us/meeting/register/tZUoc-quqTorGtB0hRPR6oljN7DKOanGdx1f
علما ان هناك بث مباشر للمحاضرة على القنوات الخاصة بجمعية المهندسين المصريين
ونأمل أن نوفق في تقديم ما ينفع المهندس ومهمة الهندسة في عالمنا العربي
والله الموفق
للتواصل مع إدارة المبادرة عبر قناة التليجرام
https://t.me/EEAKSA
ومتابعة المبادرة والبث المباشر عبر نوافذنا المختلفة
رابط اللينكدان والمكتبة الالكترونية
https://www.linkedin.com/company/eeaksa-egyptian-engineers-association/
رابط قناة التويتر
https://twitter.com/eeaksa
رابط قناة الفيسبوك
https://www.facebook.com/EEAKSA
رابط قناة اليوتيوب
https://www.youtube.com/user/EEAchannal
رابط التسجيل العام للمحاضرات
https://forms.gle/vVmw7L187tiATRPw9
ملحوظة : توجد شهادات حضور مجانية لمن يسجل فى رابط التقيم اخر المحاضرة.
Performance Optimization of HPC Applications: From Hardware to Source CodeFisnik Kraja
The document summarizes optimization techniques for HPC applications from hardware selection to application code tuning. It describes analyzing application performance, choosing an appropriate system, efficiently using resources, tuning system parameters, and optimizing code. Examples are provided for AVL Fire and OpenFOAM simulations, analyzing scalability, hardware dependencies, and reducing runtime through MPI and system tuning.
Vapor Combustor Improvement Project LinkedIn Presentation February 2016Tim Krimmel, MEM
This document presents a vapor combustor/flare system improvement project for Baker Hughes Chemical Facility. It describes the development of a nonlinear programming model in Excel to analyze the vapor system's performance over changing variables. Field data was collected from pressure transmitters and flowmeters to validate the model. A meeting with plant engineers helped determine production risk probabilities and vapor stream loadings to apply in a Monte Carlo simulation. The model was validated by comparing its descriptive statistics to field data statistics. The goal is to systematically analyze the system and propose solutions to improve performance using modeling, simulation, and data.
Elizabeth Towle Separation Process for the Reutilization of Acetone and Metha...Elizabeth Towle
The document proposes two methods for separating a waste stream of 60% acetone and 40% methanol: a pressure swing distillation system with two columns and a single high pressure distillation column. The high pressure column is recommended as it is more cost effective at $73,160 compared to $112,500 for the pressure swing system. Both methods take advantage of changing the azeotrope composition through increased pressure to isolate relatively pure streams of 28% acetone, 95% acetone for reuse. Safety precautions are discussed for handling acetone and methanol.
- The document discusses using a modified genetic algorithm to optimize parameters for automatic generation control of multi-area electric energy systems.
- It proposes a modified genetic algorithm that employs one-point crossover with modification. The crossover site helps maintain diversity of search points while exploiting known optimal values, balancing exploration and exploitation.
- The algorithm is used along with decomposition techniques and trapezoidal integration to determine optimal control parameters for multi-area systems and obtain better dynamic performance under small load perturbations, with and without considering nonlinearity from governor deadbands.
Using Singular Spectrum Analysis to Model Electricity PricesNicolasRR
This document discusses using singular spectrum analysis (SSA) to model electricity prices. SSA decomposes time series data into trend, periodic, and noise components. The author applies SSA to French electricity prices, trading volumes, and consumption data. SSA shows the price trends are better correlated with consumption data than with trading volumes. The author proposes a model where the short-range price components are a function of short-range consumption components and noise, providing a physically-based way to link prices and consumption for scenario testing and analysis.
This document describes a temperature controlled fan project. It contains a block diagram showing the main components: an 8051 microcontroller, temperature sensor, ADC, motor driver, fan motor, and 7-segment displays. It also provides details on the working, which involves measuring temperature, displaying it on the 7-segment displays, and varying the fan speed based on the temperature using PWM. Simulation results and hardware implementation snapshots are included. The project aims to automatically control fan speed based on sensed temperature.
This summarizes a document presenting a case study on using a self-evolving neural network algorithm for fault prognosis in wind turbines. The study uses SCADA data from a real 2 MW wind turbine located in Sweden. An artificial neural network model is developed to estimate gearbox bearing temperatures based on inputs like oil temperature, nacelle temperature, turbine power, and RPM. The model is used to detect anomalies by comparing estimated vs. measured temperatures. When a major maintenance activity like gearbox replacement occurs, the model must be retrained due to changes in operating conditions. The case study demonstrates selecting an initial training dataset and later updating the model after a gearbox replacement using the proposed approach. Results show the approach allows the neural
Script for Comparison vertical flow models BHR Cannes June 14 2013 presentationPablo Adames
This document summarizes the presentation of a paper comparing mechanistic models of gas-liquid flow in vertical and deviated wells. It introduces the objectives of comparing published models and evaluating if more recent models perform better. The methodology section describes the models selected for comparison, well data used, and a relative performance index developed. The results section shows the original models performed poorly while the Gregory and OLGAS models performed the best overall based on the index calculations.
This document discusses reliability prediction based on multiple accelerated life tests. It provides examples of analyzing field data to determine failure rates and extract acceleration factors for different failure mechanisms. The key points are that traditional reliability models do not properly account for multiple failure mechanisms, and a physics-based approach is needed to separate mechanisms and make accurate reliability predictions over different operating conditions.
InstructionsW4 Nightingale Case A & B – 35 points - Individual A.docxdirkrplav
Instructions
W4 Nightingale Case A & B – 35 points - Individual Assignment
As indicated in the syllabus, it is important to demonstrate knowledge of MS Project. Week 4 includes using the software and interpreting the results as follows:
1. Read the Nightingale Project - LG textbook pg 333-335
2. Review MS Project Video Tutorials (Lessons/Course Materials/Support Videos) and complete the Case for both Part A and Case Part B.
3. Submit two separate MS Project .mpp files (one for part A and one for part B). Remember to submit the appropriate “view” reflecting all applicable columns and content information.
4. Submit MS Word file to specifically answer all questions for both parts (part A questions 1-3 & part B questions 1-4).
5. Ensure you document the version of MS Project you are using in the submission comments field.
Hints:
You should read ALL instructions in the case and case technical details before you start the Project file.
You may want to set up the Project file ex: start date, holidays, work days, etc. before entering in any tasks.
Ensure the project name is on the first line of the Project file and all other tasks as detailed in the case are indented just once.
The predecessor numbers for all subtasks will then be one higher than in the text as the first line (main task) is now the Project name.
The lag mentioned in the case A section is plus lag.
analyze certain bodily substances and compare them widi a sample from a suspect.
Forensic science consultant Richard Saferstein tells us that portions of the DNA structure are as unique to each individual as fingerprints. He writes that inside each of the 60 trillion cells in the human body are strands of genetic material called chromosomes. Arranged along the chromosomes, like beads on a thread, are nearly 100,000 genes. Genes are the fundamental unit of heredity. They instruct the body cells to make proteins drat determine everydiing from hair color to susceptibility to diseases. Each gene is actually composed of DNA specifically designed to carry out a single body function. Scientists have determined that DNA is die substance by which genetic instructions are passed from one generation to the next. (Saferstein 353-394)
DNA profiling has helped investigators solve crimes and ensure that diose guilty of crimes are convicted in court. Profiling is the examination of DNA samples from a body substance or fluid to determine whether they came from a particular subject. For example, semen on a rape victim's clothing can be positively or negatively compared with a suspect's semen.
police laboratories. Smaller departments may contract with large county crime labs or state police crime labs. Some departments use die services of the FBI lab. (Durose 1)
Private (nongovernment) labs are taking on greater importance in the U.S. legal system. Their analyses are increasingly being introduced into criminal and civil trials, often not only as evidence but also to contradict evidence presented by .
InstructionsView CAAE Stormwater video Too Big for Our Ditches.docxdirkrplav
Instructions:
View CAAE Stormwater video "Too Big for Our Ditches"
http://www.ncsu.edu/wq/videos/stormwater%20video/SWvideo.html
Explain how impermeable surfaces in the urban environment impact the stream network in a river basin. Why is watershed management an important consideration in urban planning? Unload you essay (200-400 words).
Neal.LarryBUS457A7.docx
Question 1
Problem:
It is not certain about the relationship between age, Y, as a function of systolic blood pressure.
Goal:
To establish the relationship between age Y, as a function of systolic blood pressure.
Finding/Conclusion:
Based on the available data, the relationship is obtained and shown below:
Regression Analysis: Age versus SBP
Analysis of Variance
Source DF Adj SS Adj MS F-Value P-Value
Regression 1 2933 2933.1 21.33 0.000
SBP 1 2933 2933.1 21.33 0.000
Error 28 3850 137.5
Lack-of-Fit 21 2849 135.7 0.95 0.575
Pure Error 7 1002 143.1
Total 29 6783
Model Summary
S R-sq R-sq(adj) R-sq(pred)
11.7265 43.24% 41.21% 3.85%
Coefficients
Term Coef SE Coef T-Value P-Value VIF
Constant -18.3 13.9 -1.32 0.198
SBP 0.4454 0.0964 4.62 0.000 1.00
Regression Equation
Age = -18.3 + 0.4454 SBP
It is found that there is an outlier in the dataset, which significantly affect the regression equation. As a result, the outlier is removed, and the regression analysis is run again.
Regression Analysis: Age versus SBP
Analysis of Variance
Source DF Adj SS Adj MS F-Value P-Value
Regression 1 4828.5 4828.47 66.81 0.000
SBP 1 4828.5 4828.47 66.81 0.000
Error 27 1951.4 72.27
Lack-of-Fit 20 949.9 47.49 0.33 0.975
Pure Error 7 1001.5 143.07
Total 28 6779.9
Model Summary
S R-sq R-sq(adj) R-sq(pred)
8.50139 71.22% 70.15% 66.89%
Coefficients
Term Coef SE Coef T-Value P-Value VIF
Constant -59.9 12.9 -4.63 0.000
SBP 0.7502 0.0918 8.17 0.000 1.00
Regression Equation
Age = -59.9 + 0.7502 SBP
The p-value for the model is 0.000, which implies that the model is significant in the prediction of Age. The R-square of the model is 70.2%, implies that 70.2% of variation in age can be explained by the model
Recommendation:
The regression model Age = -59.9 +0.7502 SBP can be used to predict the Age, such that over 70% of variation in Age can be explained by the model.
Question 2
Problem:
It is not sure that whether the factors X1 to X4 which represents four different success factors have any influences on the annual savings as a result of CRM implementation.
Goal:
To determine which of the success factors are most significant in the prediction of a successful CRM program, and develop the corresponding model for the prediction of CRM savings.
Finding/Conclusion:
Based on the available da.
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The document describes combining the UNIWAALS equation of state with an algorithm for calculating simultaneous chemical and phase equilibria (CPE). This allows CPE calculations for reactive systems containing gases, polar compounds, or both over a broad range of temperatures and pressures using a single thermodynamic model. Examples are given applying the new procedure to different multicomponent reaction systems. The results show good agreement with previous calculations using a different equation of state, demonstrating the capability of performing CPE calculations with UNIWAALS.
Jean-Paul Gibson: Analysis Of An Open Feedwater Heater SystemJean-Paul Gibson
People often look surprised when I tell them that Thermodynamics was probably one of my favorite classes in school. This was the final project for my Thermo II class and was intended to be done in groups. I wanted to challenge myself to a near unnecessary limit by completing this entire project myself. The purpose of this project was to determine the optimum operating pressure for the feedwater heater for a power cycle (from a selected problem in the textbook). However the primary focus, and most difficult task, was writing a program in C++ to calculate multiple values for a selected problem in our textbook. I quite literally had to teach myself how to program in C++ well beyond the basics I had learned in an intro class. This program had to be capable of cross referencing multiple reference tables in the back of the book, each having dozens of values which had to be manually typed in. Which reference tables it pulled values from was dependent on the user inputted turbine efficiency and feedwater heater pressure. It easily took me over a month to debug and test this program to ensure it was always going to the correct reference tables to pull data when outputting the calculations it performed.
Update on 7/2/2016: I did attempt to make another program that would allow the user to type in any feedwater heater pressure rather than make a selection from values there was a reference table for in the back of the back. The program used a method of interpolation to obtain all the data needed to perform all the calculations that were outputted. I don't remember the last time I attempted to run that version of the program, but I seem to recall getting impossible answers outputted. This indicated to me that a more complicated method of interpolating values was required, or I just couldn't get it to work correctly. I ultimately decided against pursuing that version of the program any further. Just getting it work correctly with a predefined list of pressures to select from was difficult enough.
The document describes an experiment using a NaI(TI) detector and multi-channel analyzer to identify an unknown radioactive element. Students calibrated the analyzer using cobalt-60, cesium-137, and barium-133 sources. Analysis of calibration data allowed the unknown source to be identified as sodium-22 based on its 1,115 keV gamma ray peak. The experiment demonstrated that gamma-ray spectroscopy is effective for radioactive source identification.
Multi-Machine Stability Using Dynamic Inversion Technique IJECEIAES
Stability studies of multi machine system are a major concern to power system engineers due to the increasing complexity involved. This paper deals with the application of a nonlinear technique called Dynamic Inversion, to TCSC for the improvement of stability of multi-machine system. The transient stability studies for various cases: without any controller, with 75% line compensation and with Dynamic Inversion technique, are compared. The critical clearing time as well as the maximum loading ability is also discussed. The result for the nonlinear controller is found to be better than all the other cases.
This document discusses two separation processes for an azeotropic mixture of isobutyl alcohol and isobutyl acetate: extractive distillation using n-butyl propionate as a solvent, and pressure-swing distillation. The document describes simulations of both processes carried out using Aspen HYSYS and DISTIL software with UNIQUAC activity models and experimentally obtained binary parameters. The simulations were used to optimize the processes and evaluate them economically. The results showed that for treating 12,000 metric tons per year of the mixture, pressure-swing distillation was more economically attractive than extractive distillation using n-butyl propionate as the solvent.
Title of the ReportA. Partner, B. Partner, and C. Partner.docxjuliennehar
Title of the Report
A. Partner, B. Partner, and C. Partner
Abstract
The report abstract is a short summary of the report. It is usually one paragraph (100-200 words) and should include
about one or two sentences on each of the following main points:
1. Purpose of the experiment
2. Key results
3. Major points of discussion
4. Main conclusions
Tip: It may be helpful if you complete the other sections of the report before writing the abstract. You can basically
draw these four main points from them.
example: In this experiment a very important physical effect was studied by measuring the dependence of a quantity
V of the quantity X for two different sample temperatures. The experimental measurements confirmed the quadratic
dependence V = kX2 predicted by Someone’s first law. The value of the mystery parameter k = 15.4 ± 0.5 s was
extracted from the fit. This value is not consistent with the theoretically predicted ktheory = 17.34 s. This discrepancy
is attributed to low efficiency of the V -detector.
1. Introduction
This section is also often referred to as the purpose or
plan. It includes two main categories:
Purpose: It usually is expressed in one or two sen-
tences that include the main method used for accomplish-
ing the purpose of the experiment.
Ex: The purpose of the experiment was to determine
the mass of an ion using the mass spectrometer.
Background and theory: related to the experiment.
This includes explanations of theories, methods or equa-
tions used, etc.; for the example above, you might want to
explain the theory behind mass spectrometer and a short
description about the process and setup you used in the
experiment. It is important to remember that report needs
to be as straightforward as possible. You should comprise
only as much information as needed for the reader to un-
derstand the purpose and methods. Your should also pro-
vide additional information such as a hypothesis (what is
expected to happen in the experiment based on the theory)
or safety information. The main focus of the introduction
mainly focuses on supporting the reader to understand the
purpose, methods, and reasons for these particular meth-
ods.Purpose of the experiment
Example:
Calculation of the pressure coefficient Cp
From the lectures notes, Cp can be obtained by the eq.
(1)
− Cp =
P − P∞
1
2 ∗ ρ ∗ U2∞
(1)
Where P and P∞ are respectively the local pressure and
the atmosphere pressure far away. U∞ is the wind velocity
Preprint submitted to supervisor March 4, 2020
of the wind tunnel.
Calculation of the lift coefficient CL
First, the expression for the pressure force acting nor-
mal to the chord line is given in the lecture notes as eq.(2),
Cn =
∮
Cp(−n̂ ∗ ŷ)dl, (2)
with Cp the coefficient of lift and n̂ the unit normal
vector pointing out of the surface, ŷ is the unit vector in
the direction normal to the chord line. dl is the length of an
infinitesimal line element. Similarly, the axial component
can be express as eq.(3)
Ca ...
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This document is a project report analyzing a batch distillation process to separate ethanol and water. Theoretical calculations using the Rayleigh equation and Aspen simulation software are compared to experimental data. The Rayleigh equation best matches the average distillate composition and total distillate volume, while Aspen POLYSRK most accurately predicts distillation time. Varying the column diameter and reflux ratio in Aspen affects distillation parameters like average distillate composition and time. Overall, the theoretical models provide reasonable approximations of the experimental batch distillation, validating it as a basis for process design.
This document provides instructions for using an energy balance assessment tool (EBAT) to estimate the energy usage and carbon emissions from urban water systems. It explains the tool's worksheets and input parameters for estimating supply, households, industry, treatment and equipment details. Key results are presented on energy consumption and carbon emissions for different stages of the water cycle. Background data and calculations are also included.
#تواصل_تطوير
المحاضرة رقم 179
الدكتور / علي المراكبي
استشاري الهندسة الميكانيكية وخبير ترشيد الطاقة
بعنوان
"اقتصاديات إنتاج الكهرباء بالتكنولوجيات المختلفة"
يوم الإثنين 24 أكتوبر 2022
الثامنة مساء توقيت القاهرة
التاسعة مساء توقيت مكة المكرمة
و الحضور عبر تطبيق زووم
https://us02web.zoom.us/meeting/register/tZUoc-quqTorGtB0hRPR6oljN7DKOanGdx1f
علما ان هناك بث مباشر للمحاضرة على القنوات الخاصة بجمعية المهندسين المصريين
ونأمل أن نوفق في تقديم ما ينفع المهندس ومهمة الهندسة في عالمنا العربي
والله الموفق
للتواصل مع إدارة المبادرة عبر قناة التليجرام
https://t.me/EEAKSA
ومتابعة المبادرة والبث المباشر عبر نوافذنا المختلفة
رابط اللينكدان والمكتبة الالكترونية
https://www.linkedin.com/company/eeaksa-egyptian-engineers-association/
رابط قناة التويتر
https://twitter.com/eeaksa
رابط قناة الفيسبوك
https://www.facebook.com/EEAKSA
رابط قناة اليوتيوب
https://www.youtube.com/user/EEAchannal
رابط التسجيل العام للمحاضرات
https://forms.gle/vVmw7L187tiATRPw9
ملحوظة : توجد شهادات حضور مجانية لمن يسجل فى رابط التقيم اخر المحاضرة.
Performance Optimization of HPC Applications: From Hardware to Source CodeFisnik Kraja
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Using Singular Spectrum Analysis to Model Electricity PricesNicolasRR
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This document describes a temperature controlled fan project. It contains a block diagram showing the main components: an 8051 microcontroller, temperature sensor, ADC, motor driver, fan motor, and 7-segment displays. It also provides details on the working, which involves measuring temperature, displaying it on the 7-segment displays, and varying the fan speed based on the temperature using PWM. Simulation results and hardware implementation snapshots are included. The project aims to automatically control fan speed based on sensed temperature.
This summarizes a document presenting a case study on using a self-evolving neural network algorithm for fault prognosis in wind turbines. The study uses SCADA data from a real 2 MW wind turbine located in Sweden. An artificial neural network model is developed to estimate gearbox bearing temperatures based on inputs like oil temperature, nacelle temperature, turbine power, and RPM. The model is used to detect anomalies by comparing estimated vs. measured temperatures. When a major maintenance activity like gearbox replacement occurs, the model must be retrained due to changes in operating conditions. The case study demonstrates selecting an initial training dataset and later updating the model after a gearbox replacement using the proposed approach. Results show the approach allows the neural
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This document summarizes the presentation of a paper comparing mechanistic models of gas-liquid flow in vertical and deviated wells. It introduces the objectives of comparing published models and evaluating if more recent models perform better. The methodology section describes the models selected for comparison, well data used, and a relative performance index developed. The results section shows the original models performed poorly while the Gregory and OLGAS models performed the best overall based on the index calculations.
This document discusses reliability prediction based on multiple accelerated life tests. It provides examples of analyzing field data to determine failure rates and extract acceleration factors for different failure mechanisms. The key points are that traditional reliability models do not properly account for multiple failure mechanisms, and a physics-based approach is needed to separate mechanisms and make accurate reliability predictions over different operating conditions.
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InstructionsW4 Nightingale Case A & B – 35 points - Individual A.docxdirkrplav
Instructions
W4 Nightingale Case A & B – 35 points - Individual Assignment
As indicated in the syllabus, it is important to demonstrate knowledge of MS Project. Week 4 includes using the software and interpreting the results as follows:
1. Read the Nightingale Project - LG textbook pg 333-335
2. Review MS Project Video Tutorials (Lessons/Course Materials/Support Videos) and complete the Case for both Part A and Case Part B.
3. Submit two separate MS Project .mpp files (one for part A and one for part B). Remember to submit the appropriate “view” reflecting all applicable columns and content information.
4. Submit MS Word file to specifically answer all questions for both parts (part A questions 1-3 & part B questions 1-4).
5. Ensure you document the version of MS Project you are using in the submission comments field.
Hints:
You should read ALL instructions in the case and case technical details before you start the Project file.
You may want to set up the Project file ex: start date, holidays, work days, etc. before entering in any tasks.
Ensure the project name is on the first line of the Project file and all other tasks as detailed in the case are indented just once.
The predecessor numbers for all subtasks will then be one higher than in the text as the first line (main task) is now the Project name.
The lag mentioned in the case A section is plus lag.
analyze certain bodily substances and compare them widi a sample from a suspect.
Forensic science consultant Richard Saferstein tells us that portions of the DNA structure are as unique to each individual as fingerprints. He writes that inside each of the 60 trillion cells in the human body are strands of genetic material called chromosomes. Arranged along the chromosomes, like beads on a thread, are nearly 100,000 genes. Genes are the fundamental unit of heredity. They instruct the body cells to make proteins drat determine everydiing from hair color to susceptibility to diseases. Each gene is actually composed of DNA specifically designed to carry out a single body function. Scientists have determined that DNA is die substance by which genetic instructions are passed from one generation to the next. (Saferstein 353-394)
DNA profiling has helped investigators solve crimes and ensure that diose guilty of crimes are convicted in court. Profiling is the examination of DNA samples from a body substance or fluid to determine whether they came from a particular subject. For example, semen on a rape victim's clothing can be positively or negatively compared with a suspect's semen.
police laboratories. Smaller departments may contract with large county crime labs or state police crime labs. Some departments use die services of the FBI lab. (Durose 1)
Private (nongovernment) labs are taking on greater importance in the U.S. legal system. Their analyses are increasingly being introduced into criminal and civil trials, often not only as evidence but also to contradict evidence presented by .
InstructionsView CAAE Stormwater video Too Big for Our Ditches.docxdirkrplav
Instructions:
View CAAE Stormwater video "Too Big for Our Ditches"
http://www.ncsu.edu/wq/videos/stormwater%20video/SWvideo.html
Explain how impermeable surfaces in the urban environment impact the stream network in a river basin. Why is watershed management an important consideration in urban planning? Unload you essay (200-400 words).
Neal.LarryBUS457A7.docx
Question 1
Problem:
It is not certain about the relationship between age, Y, as a function of systolic blood pressure.
Goal:
To establish the relationship between age Y, as a function of systolic blood pressure.
Finding/Conclusion:
Based on the available data, the relationship is obtained and shown below:
Regression Analysis: Age versus SBP
Analysis of Variance
Source DF Adj SS Adj MS F-Value P-Value
Regression 1 2933 2933.1 21.33 0.000
SBP 1 2933 2933.1 21.33 0.000
Error 28 3850 137.5
Lack-of-Fit 21 2849 135.7 0.95 0.575
Pure Error 7 1002 143.1
Total 29 6783
Model Summary
S R-sq R-sq(adj) R-sq(pred)
11.7265 43.24% 41.21% 3.85%
Coefficients
Term Coef SE Coef T-Value P-Value VIF
Constant -18.3 13.9 -1.32 0.198
SBP 0.4454 0.0964 4.62 0.000 1.00
Regression Equation
Age = -18.3 + 0.4454 SBP
It is found that there is an outlier in the dataset, which significantly affect the regression equation. As a result, the outlier is removed, and the regression analysis is run again.
Regression Analysis: Age versus SBP
Analysis of Variance
Source DF Adj SS Adj MS F-Value P-Value
Regression 1 4828.5 4828.47 66.81 0.000
SBP 1 4828.5 4828.47 66.81 0.000
Error 27 1951.4 72.27
Lack-of-Fit 20 949.9 47.49 0.33 0.975
Pure Error 7 1001.5 143.07
Total 28 6779.9
Model Summary
S R-sq R-sq(adj) R-sq(pred)
8.50139 71.22% 70.15% 66.89%
Coefficients
Term Coef SE Coef T-Value P-Value VIF
Constant -59.9 12.9 -4.63 0.000
SBP 0.7502 0.0918 8.17 0.000 1.00
Regression Equation
Age = -59.9 + 0.7502 SBP
The p-value for the model is 0.000, which implies that the model is significant in the prediction of Age. The R-square of the model is 70.2%, implies that 70.2% of variation in age can be explained by the model
Recommendation:
The regression model Age = -59.9 +0.7502 SBP can be used to predict the Age, such that over 70% of variation in Age can be explained by the model.
Question 2
Problem:
It is not sure that whether the factors X1 to X4 which represents four different success factors have any influences on the annual savings as a result of CRM implementation.
Goal:
To determine which of the success factors are most significant in the prediction of a successful CRM program, and develop the corresponding model for the prediction of CRM savings.
Finding/Conclusion:
Based on the available da.
InstructionsUse and add the real life situation provided below t.docxdirkrplav
Instructions
Use and add the real life situation provided below to write this paper. Provide examples to explain the behaviors, and use researched material to support your reasoning.
(Real life situation)
Gender Inequality in the Workplace: Sexual Harassment against Women
Although many women have been confident enough to report sexual harassment in the workplace, it is still very hard and uncomfortable for other women to stand up and also makes it more surprising how many of these incidences are still taking place every day. Workplace sexual harassment goes for both genders and it’s even harder for men since they are always viewed as the aggressors and superior gender and the mindset of our society shapes a lot of what we perceive is okay and normal behavior towards each other.
One interesting experience I heard of recently was involving a female service member and her superiors. This female works in an office with about four other males who are very aware about her feelings towards the behavior of her superior who happens to work outside of that specific office. The superior officer comes in everyday to check up on their work, make small talk with the guys and also has a habit of always rubbing her shoulders when he walks over to her desk. She explains that the first time it happened she thought it was odd being that she doesn’t have that type of relationship with him and gave him a pass, but then it became a an everyday thing. She tried tactics such as getting up from her desk, walking away from him and even voiced to the other males how uncomfortable it made her; they thought it was funny. They too had a complaint about him on making them feel uncomfortable: he had a habit of grabbing and scratching his private parts; but accepted it as a guy thing and would be viewed in a negative way if they reported. Her reason for not reporting was because she was afraid to get him in trouble, he had a family and wouldn’t dare to jeopardize his career, or even worse be criticized for making a big deal out of nothing after all its just a shoulder rub.
Required Elements:
· Describe the situation in detail; already mentioned above;
· Analyze the differences in communication, problem-solving, and leadership between the men and the women in the situation;
· Did any stereotypical notions seem to influence the behaviors of the women and the men involved in the situation? If so, explain what were they? If not, indicate so.
· Identify challenges related to gender in the situation described.
· Identify best practices that address the challenges identified.
· Devise three to five action plans that could be implemented to strengthen the behaviors of men and women in the workplace. Action plans can be implements by HR, a management or manager, CEO, or employee. Make sure to provide ideas as to why the action plan is necessary or would be useful in the workplace.
· Do not offer o.
InstructionsThe objective of this assessment is to demonstrate y.docxdirkrplav
The document outlines improvements made to the recruitment and selection processes at Southwood School. It identifies weaknesses in the original processes, such as relying only on newspaper advertisements and limited selection methods. The HR manager led changes including expanding recruitment methods by adding a school website and emphasizing internal recruitment. Selection methods were enhanced by adding teaching observations and involving student interview panels to provide a more comprehensive evaluation of candidates. The revisions aimed to attract a more diverse candidate pool, provide a better candidate experience, and make selection decisions based on a wider range of skills and feedback.
InstructionsThis assignment will be checked using anti-plagia.docxdirkrplav
Instructions:
This assignment will be checked using anti-plagiarism software and returned to your instructor with an originality report.
After Completion of Lab 2, Students Must complete a one page paper on a topic of their choice from the material covered in Lab 2.
It should include your name and a topic title.
It should be 1 page, 12 pt font, double spaced.
References (with whatever format you are comfortable using)should be included at the end of your paper.
This assignment is due by the Sunday, 15 November, at 11:55pm MST. (Students with Makeup Lab approval will complete the assignment after Makeup Lab).
Please attach using one of the following formats (.doc .pdf or .txt)
Turn the paper into the "Exams, Lab Reports and Research Paper" Link For Lab 1 Report.
Grading Criteria:
Lab Report Must be at least one page. (-5 for shortness of submission).
Additional page with References (use reference format you are familiar using) (-5 for no references).
Lab Report must explain how topic is discovered, developed, and applied....not a restatement of the Lab Activity. (-5 for explaining the Lab Activity).
Turn in your Report on time. (- 5 points deducted per week for late submissions!!! )
Choose ONE of the following topics:
-Light Box II: Color.
-Rainbow.
-Blue Sky.
-Interference.
-Polarizers.
-Ultraviolet Light.
-Infrared Light. (IR).
-Computer Optical Microscope.
-X-ray Fluorescence.
-Scanning Electron Microscopy.
-Optical Microscopy.
“When you’re a Spy, your job title can be anything, from Manager to Waiter, even criminal. The reason for the multitude of names? As a Spy, your job is to gather information from a range of sources, and you need to do it in any way you can. That includes putting on a disguise.
There are a few different paths that you can take to get into this career, and you can focus on a range of specialties, from technical to languages. The title “Spy” isn’t really used anymore. Instead, you’re now called a Covert Investigator or, more broadly, a CIA Agent. Whatever the title, it means you investigate and protect US interests abroad.
You investigate things like terrorism, fraud, corrupt governments, and a wide variety of other crimes. Your job is to keep Policymakers and the President of the United States aware and informed on the happenings around the world.
You can find the information you need in a lot of different ways. You might get to go undercover and pretend to be a different person, but for the most part, your job is much more routine. You carry out interviews with informants and allied Agents, analyze data, and read through research. You look for possible international problems, such as civil unrest, war, famine—anything that can cause problems for the United States.
This job involves a lot of collaboration and communication. You work with other Agents, international police forces, or informants. The informants you work with are usually average people, so the ability to speak their language is a big plus.”.
instructionss.docxjust to make sure againi need u to ext.docxdirkrplav
This document provides instructions to extend a report on the design and analysis of electrical power transmission towers from 40 to 65 pages by adding several new chapters and sections. It then provides the content for these new sections, including expanding the literature review, conclusions and recommendations section. It also includes the content for a sample transmission tower design project report, providing details on the introduction, aims, loads on towers, literature review, analysis and design of a sample 220kV transmission tower.
InstructionsProvide an analysis of the affects of the publics.docxdirkrplav
Instructions:
Provide an analysis of the affects of the publics widespread interest on televised crime dramas on the manner that the criminal justice system is administered.
1 page in length
12 pt font
Double Spaced
Arial or Times New Roman
APA formatted references for any quoted or paraphrased material
.
This document contains instructions for an open book exam with multiple choice and word problems related to statistics. It provides 14 questions testing concepts like types of statistical tests to use for different data, hypotheses for statistical tests, interpreting statistical output, and correctly identifying variables and appropriate statistical analyses for different datasets. Datasets are provided in separate tabs for questions requiring calculations and analysis of real data.
InstructionsPlease answer the following question in a minimum.docxdirkrplav
Instructions:
Please answer the following question in a minimum of 500 words. Be sure to include 2 citations.
Question:
On August 31, 2010, Chickasaw Industries issued $25 million of its 30-year, 6% convertible bonds dated August 31, priced to yield 5%. The bonds are convertible at the option of the investors into 1,500,000 shares of Chickasaw's common stock. Chickasaw records interest expense at the effective rate. On August 31, 2013, investors in Chickasaw's convertible bonds tendered 20% of the bonds for conversion into common stock that had a market value of $20 per share on the date of the conversion. On January 1, 2012, Chickasaw Industries issued $40 million of its 20-year, 7% bonds dated January 1 at a price to yield 8%. On December 31, 2013, the bonds were extinguished early through acquisition in the open market by Chickasaw for $40.5 million.
Required:
1.
Using the book value method, would recording the conversion of the 6% convertible bonds into common stock affect earnings? If so, by how much? Would earnings be affected if the market value method is used? If so, by how much?
2.
Were the 7% bonds issued at face value, at a discount, or at a premium? Explain.
3.
Would the amount of interest expense for the 7% bonds be higher in the first year or second year of the term to maturity? Explain.
4.
How should gain or loss on early extinguishment of debt be determined? Does the early extinguishment of the 7% bonds result in a gain or loss? Explain.
Statistics Questions to Answer.doc.rtf
2
*Note: An Excel Workbook has also been uploaded. Within that workbook are 8 XLS files which are included in 8 separate tabs. These files will be needed to answer most of the questions.This work is due Friday, September 19th
Q1)Fill in the blanks (show your work).
Variable
N
Mean
Median
TrMean
StDev
haircut
171
23.17
17.00
21.14
18.20
sleep
171
6.6477
7.0000
6.6487
0.8396
age
171
27.421
27.000
27.098
3.646
Correlations:haircut,sleep, age
haircut
sleep
sleep
-0.117
age
0.062
(1)
Covariances:haircut,sleep, age
haircut
sleep
age
haircut
(2)_
sleep
-1.79232
0.70491
age
4.12314
-0.45372
13.29226
Blank 1 =
Blank 2 =
Q2)Is the following statement correct? Explain why or why not.
“A correlation of 0 implies that no relationship exists between the two variables under study.”
Q3)Does how long children remain at the lunch table help predict how much they eat? The data in file lunchtime.xls (File is in Tab#1 of Excel Workbook) gives information on 20 toddlers observed over several months at a nursery school. “Time” is the average number of minutes a child spent at the table when lunch was served. “Calories” is the average number of calories the child consumed during lunch, calculated from careful observation of what the child ate each day.
Findthecorrelationforthesedata.
Supposeweweretorecordtimeatthetableinhoursratherthaninminutes.Howwouldthecorrelationchange?Why?
Writeasentenceortwoexplainingwhatthiscorrelationmeansfort.
InstructionsMy report is about the future of work and focuses the .docxdirkrplav
Instructions
My report is about the future of work and focuses the role of a woman. I have already done some work for this report. Down below you will see the points we spoke about in the report and why we chose this subject. More importantly, you will also see the scenario we came up with and the framing questions we created. You will need both the scenario and framing questions and write a summary about it in 600 words. I need you to do this section:
*Scenario plan: Working together the group is required to construct a future scenario using the scenario template. The completed scenario will be attached in the appendix. You will need to insert in your report a summary of your future scenario identifying the evidence/trends it is based upon, framing questions and key elements around work that are relevant to your analysis to the future of work (Approx 600 words). (The template & framing questions should be in your appendix.)Introduction
· The future of work will have an impact on women in terms of employment and job positions in an organization.
· Corporations will be equally hiring men and women based on their skills and knowledge.
· The wage gap between genders will decrease in the near future.
· Women will become more independent leading the marriage rates to drop.
· When it comes to politics, the role of a women in a less developed country will change significantly as women are now allowed to vote and become members of the parliament. Rationale
· Theme: Gender and diversity
· Why?
Coming from an Arab country, we have noticed many changes in the typical role of women all around the world. We noticed that women are starting to change their habits and lifestyle. Women are becoming highly educated, searching for independence, and working more to enhance their career path. Women are no longer categorized as the traditional housewivesScenario: Everything Will Change“Post-Fordism”
Society and culture
-Feminized values
-Women and men equally valued
-Make, do, and mend culture
-Increasing diversity
Family life
-Parents work long hours little time for kids
-Schools and institutions take greater responsibility for children
-Men contribute equally for child rearing, housework and time at work
Education
-Vocational
-Individual happiness linked to societal outcomes
The workplace
-Pay gap decrease between genders
-Equality between genders
-Even value of diversity
-Women greater presence in public, business life
-Responsible and ethical corporations
The environment
-No clean energy developed
-Wealthy nations survive while poor nations don’t do so well
Science and technology
-High surveillance of all citizens
-Innovation is highly valued
-Highly networked
-Development of new technology with few people to afford it
Politics
-Single party dominates
-Strong alliances between countries
-People vote according to policies that value social and environmental outcomes
-Women politicians increase
-Governmental regulations change regarding expatriates
Economics.
InstructionsInstructions for the Microsoft Excel TemplatesThis wor.docxdirkrplav
This document provides instructions for completing Microsoft Excel templates for a grading assignment. It explains that only the provided workbook should be submitted and that it contains the assignment details. Students should enter their name and solve problems by filling in highlighted cells with account titles, values, formulas, and text explanations. The templates are formatted to print on standard paper sizes and use standard accounting formatting like commas. Students should leverage features like split panes and lookup formulas to assist with copying data accurately. Sample templates are provided for problems on income statements, retained earnings statements, and long-term construction contracts.
InstructionsResearch and write a brief answer to the following .docxdirkrplav
Instructions:
Research and write a brief answer to the following question. Your response should be between 150-300 words. Your work should follow the conventions of Standard American English (correct grammar, punctuation, etc.). Your writing should be well ordered, logical and unified, as well as original and insightful. Furthermore, all sources used should be properly cited using APA formatting. You can find a blank assignment template in the Doc Sharing.
Question:
Continuous Quality Improvement (CQI) is a management philosophy and a management method. Identify and explain the philosophical and methodological characteristics of CQI. Select the characteristic you find most valuable and explain why.
.
Instructionsinstructions.docxFinal Lab ReportYou are requ.docxdirkrplav
Instructions/instructions.docx
Final Lab Report
You are required to write a complete laboratory report that covers all three experiments for "Lab 2: Water Quality and Contamination," using knowledge gained throughout the course. To begin, download the Final Lab Report Template and utilize this form to ensure proper formatting and inclusion of all required material. Additionally, view the Sample Final Lab Report before beginning this assignment, which will illustrate what a Final Lab Report should look like. You must use at least four scholarly sources and your lab manual to support your points. The report must be six to ten pages in length (excluding the title and reference pages) and formatted according to APA style. For information regarding APA samples and tutorials, visit the Ashford Writing Center, located within the Learning Resources tab on the left navigation toolbar.
The Final Lab Report must contain the following eight sections in this order:
1. Title Page – This page must include the title of your report, your name, course name, instructor, and date submitted.
2. Abstract – This section should provide a brief summary of the methods, results, and conclusions. It should allow the reader to see what was done, how it was done, and the results. It should not exceed 200 words and should be the last part written (although it should still appear right after the title page).
3. Introduction – This section should include background information on water quality and an overview of why the experiment was conducted. It should first contain background information of similar studies previously conducted. This is accomplished by citing existing literature from similar experiments. Secondly, it should provide an objective or a reason why the experiment is being done. Why do we want to know the answer to the question we are asking? Finally, it should end with all three hypotheses from your Week Two experiments. These hypotheses should not be adjusted to reflect the “right” answer. Simply place your previous hypotheses in the report here. You do not lose points for an inaccurate hypothesis; scientists often revise their hypotheses based on scientific evidence following the experiments.
4. Materials and Methods – This section should provide a detailed description of the materials used in your experiment and how they were used. A step-by-step rundown of your experiment is necessary; however, it should be done in paragraph form, not in a list format. The description should be exact enough to allow for someone reading the report to replicate the experiment, however, it should be in your own words and not simply copied and pasted from the lab manual.
5. Results – This section should include the data and observations from the experiment. All tables and graphs should be present in this section. In addition to the tables, you must describe the data in text; however, there should be no personal opinions or discussion outside of the results located within t.
INSTRUCTIONSInstructionsPlease evaluate, display, and interpret t.docxdirkrplav
This Excel document contains instructions to evaluate, display, and interpret a dataset measuring the number of members seen in an office each week over the course of a year. The evaluator is asked to use descriptive statistics, inferential statistics, charts, tables and graphs to analyze the data and tell an easy to understand story about what the data shows to executive leadership. The dataset lists the week of the year and corresponding number of members seen for each of the 52 weeks.
InstructionsEach of your 2 replies must contain at least .docxdirkrplav
Instructions:
Each of your 2 replies must contain at least 1 or 2 paragraphs including a minimum of 200 words. One of your replies must cover a topic different than the one you discussed in your thread. Seek to understand your classmate’s thread, including the economic theory and facts he/she presented as well as his/her points of view and real-world example. Aim to communicate your own understanding of relevant facts, your values, and your perspective on the topic. Each reply must contain at least 1 citation in current APA format.
Reply to these two:
#1 Monica
Three types of Unemployment
Unemployment is divided into three categories by economist: frictional, structural, and cyclical. Frictional unemployment is unemployment due to constant changes in the economy that prevent qualified unemployed workers from being immediately matched up with existing job openings (Gwartney et al.) Structural unemployment is unemployment due to structural characteristics of the economy that make it difficult for job seekers to find employment to hire workers (Gwartney et al.) Cyclical unemployment is unemployment due to recessionary business conditions and inadequate labor demand (Gwartney et al.)
“Frictional unemployment is not as harmful to an economy as other types of unemployment, such as cyclical and structural unemployment. That's because a rise in frictional unemployment is simply an increase of workers moving toward better positions (Amadeo).”
Frictional unemployment comes from imperfect information. An example would be most businesses now when they are in the hiring process they will do a bunch of interviews and spend money trying to find the best person for that job. The people who are looking for jobs are constantly looking on the internet, the newspaper, local bulletin boards, and social media for the right job that fits them. In the county I live with I see a lot of structural unemployment. People that do have job openings require education; the ones who are unemployed have no education so they aren’t qualified. A lot of office jobs require you to have computer knowledge. Around my home town, there is very little education especially when it comes to technology. The last type of unemployment we see happening today all around the world. Businesses are cutting back and laying employees off. Where I currently work, when someone leaves, they aren’t filling the positions. We have to do more work with fewer employees.
I have a friend who lost her job and I try to encourage her to never give up and keep her faith. Philippians 4:5 states, “Do not be anxious about anything, but in everything by prayer and supplication with thanksgiving let your request be made known to God.” That is a good scripture for everyone who is unemployed to keep in mind. Times can be tough when you are looking for a job, but the Bible tells us to never give up, and pray about it.
Amadeo, K. (2014). Frictional Unemployment. US Economy. Retrieved from
http://useconomy.
InstructionsInstructions for numberguessernumberGuesser.html.docxdirkrplav
Instructions/Instructions for numberguesser/numberGuesser.html
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Instructions/Instructions for shoerental/ShoeRentalClass.html
Instructions/lab4.docx
1. Complete the Programmers Workshop on pg 313-316 (Including Detective Work). Upload the numberGuesser.html file here.
2. Complete the Object Lesson on pg 316-320 (Including Detective Work). Upload the ShoeRentalClass.html page you create here.
Introduction to Unix - POS420
Unix Lab Exercise Week 5
Job Control :
1. How to suspend the jobs running in foreground ?
Open a file in vi and press CTRL-Z to put it into background
$ vi filename
CTRL-Z
filename[New file]
[1] + Stopped vi filename
$
where 1 is the job number, + or - make the current and previous jobs.
2. How to make it run in foreground ?
You can use fg command to make it run in foreground. If more than one job is suspended, you can use fg %n where n is the number is the sequence of the process to make that process come in foreground.
$ fg %1
Now you will see vi editor again.
3. How to make it run in background ? (Only stopped jobs)
You can use bg command to make it run in background. If more than one job is suspended, you can use bg %n where n is the number is the sequence of the process to make that process come in background.
Let us suspend this job one more time.
$ vi filename
CTRL-Z
filename[New file]
[1] + Stopped vi filename
$
Let us run in background .
$ bg %1
4. Another way to suspend a job by using kill command.
Run vi in this session.
Open another connection through telnet. Now you have two sessions.
Type ps command to see what processes are running.
$ ps
PID TT STAT TIME COMMAND
5226 q7 S 0:01 -ksh (ksh) - This is new shell
6314 q7 R 0:00 ps
5487 ub S 0:00 -ksh (ksh) - This is previous shell
6312 ub S 0:00 vi filename - vi is running in previous session.
Now send a STOP signal to the process. kill -l will give you a lo\ist of signals.
$ kill -STOP 6312
Now you will see this in the other session
[1] + Stopped (signal) vi filename
To .
InstructionsI need 3 pages of the four questions. That is abo.docxdirkrplav
Instructions:
I need 3 pages of the four questions. That is about 200 words for each question. The answers MUST be articulate and to the point. I do not pay for shoddy work. Give me a paragraph for each question. Use the links given for each question as your sources. You can seek outside references as additional sources if need be. Thank you.
2. How did Hellenism spread, how far did it spread, and what effects did it have on both Greeks and those unfamiliar with Greek culture? Give some examples of Hellenistic influences on the Mediterranean world and its culture post Alexander the Great.
http://www.history.com/topics/ancient-history/peloponnesian-war http://www.metmuseum.org/toah/hd/haht/hd_haht.htm http://www.shsu.edu/~his_ncp/ArrAlex.html
3. What were the main achievements and failures of the Roman Republic? Give some examples of some of the issues that impacted Roman life and society during the Republic and discuss these. How did the crisis of leadership in the late Republic lead to civil war, particularly after the assassination of Julius Caesar?
http://www.princeton.edu/~achaney/tmve/wiki100k/docs/Roman_Republic.html http://www.class.uh.edu/mcl/classics/Rom/Livy.html
4. Augustus effectively became the first Roman Emperor in 31 BC and initiated a series of reforms that began a 200 year period of relative tranquility, peace, and prosperity for Rome and its Empire. Why were his successors, particularly after 180 AD, generally not as successful in expanding upon his achievements?
http://www.pbs.org/empires/romans/ http://www.csun.edu/~hcfll004/nicolaus.html
5. How did Christian ideas and practices respond to changing political and social circumstances in the later Roman Empire? What appeal did Christianity have for Romans at this time, and what accounted for its spread? What role did the Emperor Constantine play in its success?
http://www.tribunesandtriumphs.org/roman-empire/causes-for-the-fall-of-the-roman-empire.htm http://www.westmont.edu/~fisk/articles/TacitusAndPlinyOnTheEarlyChristians.html
.
InstructionsFor this assignment, collect data exhibiting a relat.docxdirkrplav
Instructions
For this assignment, collect data exhibiting a relatively linear trend, find the line of best fit, plot the data and the line, interpret the slope, and use the linear equation to make a prediction. Also, find r2 (coefficient of determination) and r (correlation coefficient). Discuss your findings. Your topic may be that is related to sports, your work, a hobby, or something you find interesting. If you choose, you may use the suggestions described below.
A Linear Model Example and Technology Tips are provided in separate documents.
Tasks for Linear Regression Model (LR)
(LR-1) Describe your topic, provide your data, and cite your source. Collect at least 8 data points. Label appropriately. (Highly recommended: Post this information in the Linear Model Project discussion as well as in your completed project. Include a brief informative description in the title of your posting. Each student must use different data.)
The idea with the discussion posting is two-fold: (1) To share your interesting project idea with your classmates, and (2) To give me a chance to give you a brief thumbs-up or thumbs-down about your proposed topic and data. Sometimes students get off on the wrong foot or misunderstand the intent of the project, and your posting provides an opportunity for some feedback. Remark: Students may choose similar topics, but must have different data sets. For example, several students may be interested in a particular Olympic sport, and that is fine, but they must collect different data, perhaps from different events or different gender.
(LR-2) Plot the points (x, y) to obtain a scatterplot. Use an appropriate scale on the horizontal and vertical axes and be sure to label carefully. Visually judge whether the data points exhibit a relatively linear trend. (If so, proceed. If not, try a different topic or data set.)
(LR-3) Find the line of best fit (regression line) and graph it on the scatterplot. State the equation of the line.
(LR-4) State the slope of the line of best fit. Carefully interpret the meaning of the slope in a sentence or two.
(LR-5) Find and state the value of r2, the coefficient of determination, and r, the correlation coefficient. Discuss your findings in a few sentences. Is r positive or negative? Why? Is a line a good curve to fit to this data? Why or why not? Is the linear relationship very strong, moderately strong, weak, or nonexistent?
(LR-6) Choose a value of interest and use the line of best fit to make an estimate or prediction. Show calculation work.
(LR-7) Write a brief narrative of a paragraph or two. Summarize your findings and be sure to mention any aspect of the linear model project (topic, data, scatterplot, line, r, or estimate, etc.) that you found particularly important or interesting.
Scatterplots, Linear Regression, and Correlation [Section 1.4, starting on page 114 in the textbook]
When we have a set of data, often we would like to develop a model that fits the data.
First .
InstructionsFor this week’s assignment, you will synthesize the .docxdirkrplav
Instructions
For this week’s assignment, you will synthesize the most relevant information in the situation below, and present a solution in your own words, using your own analysis. You will not use all of the information included in the scenario. Remember it is not appropriate to cut and paste entire sections from the situation to substitute for your own analysis.
The objective of the assignment is to organize your message in a way that will be most effective in persuading the Chief Executive Officer (CEO) to take action.
Situation: Convincing the CEO to Approve a Public Relations Plan
You are the director of public relations for Easy to Be Green, the innovative new company that helps homeowners, businesses, and municipalities become more environmentally friendly. The company has been active in environmental issues in the community since its founding a few years ago and generally has good community relations. Recently EBG’s director of research, who is strongly opinionated about environmental issues, spoke in public about the environmental practices of some local companies who employ many people in the community. Lately, you’ve found that some of your local contacts seem a little less interested in EBG’s public relations initiatives, and there has even been a small drop in sales. There may be no connections between these events, but you want to be proactive about the company’s community relations.
You also want to protect the company against charges of hypocrisy. The other day you as walked through the parking lot, it occurred to you that the majority of the employees drive SUVs, pick-ups, and other kinds of gas guzzlers. This includes the CEO, whose family car is a luxury sedan. The company’s delivery and service vans are also not the most environmentally-friendly vehicles.
After a little research, you come up with a tentative plan. You have learned that a local hybrid car dealership has been offering an interesting deal. Employees of companies that buy hybrids as company vehicles can get discounts when they buy hybrids for themselves. You think that the company should consider purchasing a couple of hybrid vans and encourage employees to buy hybrids for themselves by offering substantial rebates for these purchases. You want to get the CEO’s approval before you pursue this idea any further. You anticipate that he will have significant resistance. The company vehicles are not due for replacement, and the rebates to employees could add up to quite a lot if many employees take up the offer. On the other hand, if only a few employees take up the offer, a significant environmental initiative will seem like a failure. The CEO is a risk-taker in terms of business initiatives but tends to be conservative in management practices. He might also be a little defensive about the hybrid promotion plan because of his own vehicle choices.
You feel strongly that the potential benefits of this plan—in long-term savings on gas, in goo.
Andreas Schleicher presents PISA 2022 Volume III - Creative Thinking - 18 Jun...EduSkills OECD
Andreas Schleicher, Director of Education and Skills at the OECD presents at the launch of PISA 2022 Volume III - Creative Minds, Creative Schools on 18 June 2024.
Elevate Your Nonprofit's Online Presence_ A Guide to Effective SEO Strategies...TechSoup
Whether you're new to SEO or looking to refine your existing strategies, this webinar will provide you with actionable insights and practical tips to elevate your nonprofit's online presence.
Gender and Mental Health - Counselling and Family Therapy Applications and In...PsychoTech Services
A proprietary approach developed by bringing together the best of learning theories from Psychology, design principles from the world of visualization, and pedagogical methods from over a decade of training experience, that enables you to: Learn better, faster!
Beyond Degrees - Empowering the Workforce in the Context of Skills-First.pptxEduSkills OECD
Iván Bornacelly, Policy Analyst at the OECD Centre for Skills, OECD, presents at the webinar 'Tackling job market gaps with a skills-first approach' on 12 June 2024
THE SACRIFICE HOW PRO-PALESTINE PROTESTS STUDENTS ARE SACRIFICING TO CHANGE T...indexPub
The recent surge in pro-Palestine student activism has prompted significant responses from universities, ranging from negotiations and divestment commitments to increased transparency about investments in companies supporting the war on Gaza. This activism has led to the cessation of student encampments but also highlighted the substantial sacrifices made by students, including academic disruptions and personal risks. The primary drivers of these protests are poor university administration, lack of transparency, and inadequate communication between officials and students. This study examines the profound emotional, psychological, and professional impacts on students engaged in pro-Palestine protests, focusing on Generation Z's (Gen-Z) activism dynamics. This paper explores the significant sacrifices made by these students and even the professors supporting the pro-Palestine movement, with a focus on recent global movements. Through an in-depth analysis of printed and electronic media, the study examines the impacts of these sacrifices on the academic and personal lives of those involved. The paper highlights examples from various universities, demonstrating student activism's long-term and short-term effects, including disciplinary actions, social backlash, and career implications. The researchers also explore the broader implications of student sacrifices. The findings reveal that these sacrifices are driven by a profound commitment to justice and human rights, and are influenced by the increasing availability of information, peer interactions, and personal convictions. The study also discusses the broader implications of this activism, comparing it to historical precedents and assessing its potential to influence policy and public opinion. The emotional and psychological toll on student activists is significant, but their sense of purpose and community support mitigates some of these challenges. However, the researchers call for acknowledging the broader Impact of these sacrifices on the future global movement of FreePalestine.
🔥🔥🔥🔥🔥🔥🔥🔥🔥
إضغ بين إيديكم من أقوى الملازم التي صممتها
ملزمة تشريح الجهاز الهيكلي (نظري 3)
💀💀💀💀💀💀💀💀💀💀
تتميز هذهِ الملزمة بعِدة مُميزات :
1- مُترجمة ترجمة تُناسب جميع المستويات
2- تحتوي على 78 رسم توضيحي لكل كلمة موجودة بالملزمة (لكل كلمة !!!!)
#فهم_ماكو_درخ
3- دقة الكتابة والصور عالية جداً جداً جداً
4- هُنالك بعض المعلومات تم توضيحها بشكل تفصيلي جداً (تُعتبر لدى الطالب أو الطالبة بإنها معلومات مُبهمة ومع ذلك تم توضيح هذهِ المعلومات المُبهمة بشكل تفصيلي جداً
5- الملزمة تشرح نفسها ب نفسها بس تكلك تعال اقراني
6- تحتوي الملزمة في اول سلايد على خارطة تتضمن جميع تفرُعات معلومات الجهاز الهيكلي المذكورة في هذهِ الملزمة
واخيراً هذهِ الملزمة حلالٌ عليكم وإتمنى منكم إن تدعولي بالخير والصحة والعافية فقط
كل التوفيق زملائي وزميلاتي ، زميلكم محمد الذهبي 💊💊
🔥🔥🔥🔥🔥🔥🔥🔥🔥
Philippine Edukasyong Pantahanan at Pangkabuhayan (EPP) CurriculumMJDuyan
(𝐓𝐋𝐄 𝟏𝟎𝟎) (𝐋𝐞𝐬𝐬𝐨𝐧 𝟏)-𝐏𝐫𝐞𝐥𝐢𝐦𝐬
𝐃𝐢𝐬𝐜𝐮𝐬𝐬 𝐭𝐡𝐞 𝐄𝐏𝐏 𝐂𝐮𝐫𝐫𝐢𝐜𝐮𝐥𝐮𝐦 𝐢𝐧 𝐭𝐡𝐞 𝐏𝐡𝐢𝐥𝐢𝐩𝐩𝐢𝐧𝐞𝐬:
- Understand the goals and objectives of the Edukasyong Pantahanan at Pangkabuhayan (EPP) curriculum, recognizing its importance in fostering practical life skills and values among students. Students will also be able to identify the key components and subjects covered, such as agriculture, home economics, industrial arts, and information and communication technology.
𝐄𝐱𝐩𝐥𝐚𝐢𝐧 𝐭𝐡𝐞 𝐍𝐚𝐭𝐮𝐫𝐞 𝐚𝐧𝐝 𝐒𝐜𝐨𝐩𝐞 𝐨𝐟 𝐚𝐧 𝐄𝐧𝐭𝐫𝐞𝐩𝐫𝐞𝐧𝐞𝐮𝐫:
-Define entrepreneurship, distinguishing it from general business activities by emphasizing its focus on innovation, risk-taking, and value creation. Students will describe the characteristics and traits of successful entrepreneurs, including their roles and responsibilities, and discuss the broader economic and social impacts of entrepreneurial activities on both local and global scales.
Chapter wise All Notes of First year Basic Civil Engineering.pptxDenish Jangid
Chapter wise All Notes of First year Basic Civil Engineering
Syllabus
Chapter-1
Introduction to objective, scope and outcome the subject
Chapter 2
Introduction: Scope and Specialization of Civil Engineering, Role of civil Engineer in Society, Impact of infrastructural development on economy of country.
Chapter 3
Surveying: Object Principles & Types of Surveying; Site Plans, Plans & Maps; Scales & Unit of different Measurements.
Linear Measurements: Instruments used. Linear Measurement by Tape, Ranging out Survey Lines and overcoming Obstructions; Measurements on sloping ground; Tape corrections, conventional symbols. Angular Measurements: Instruments used; Introduction to Compass Surveying, Bearings and Longitude & Latitude of a Line, Introduction to total station.
Levelling: Instrument used Object of levelling, Methods of levelling in brief, and Contour maps.
Chapter 4
Buildings: Selection of site for Buildings, Layout of Building Plan, Types of buildings, Plinth area, carpet area, floor space index, Introduction to building byelaws, concept of sun light & ventilation. Components of Buildings & their functions, Basic concept of R.C.C., Introduction to types of foundation
Chapter 5
Transportation: Introduction to Transportation Engineering; Traffic and Road Safety: Types and Characteristics of Various Modes of Transportation; Various Road Traffic Signs, Causes of Accidents and Road Safety Measures.
Chapter 6
Environmental Engineering: Environmental Pollution, Environmental Acts and Regulations, Functional Concepts of Ecology, Basics of Species, Biodiversity, Ecosystem, Hydrological Cycle; Chemical Cycles: Carbon, Nitrogen & Phosphorus; Energy Flow in Ecosystems.
Water Pollution: Water Quality standards, Introduction to Treatment & Disposal of Waste Water. Reuse and Saving of Water, Rain Water Harvesting. Solid Waste Management: Classification of Solid Waste, Collection, Transportation and Disposal of Solid. Recycling of Solid Waste: Energy Recovery, Sanitary Landfill, On-Site Sanitation. Air & Noise Pollution: Primary and Secondary air pollutants, Harmful effects of Air Pollution, Control of Air Pollution. . Noise Pollution Harmful Effects of noise pollution, control of noise pollution, Global warming & Climate Change, Ozone depletion, Greenhouse effect
Text Books:
1. Palancharmy, Basic Civil Engineering, McGraw Hill publishers.
2. Satheesh Gopi, Basic Civil Engineering, Pearson Publishers.
3. Ketki Rangwala Dalal, Essentials of Civil Engineering, Charotar Publishing House.
4. BCP, Surveying volume 1
This presentation was provided by Racquel Jemison, Ph.D., Christina MacLaughlin, Ph.D., and Paulomi Majumder. Ph.D., all of the American Chemical Society, for the second session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session Two: 'Expanding Pathways to Publishing Careers,' was held June 13, 2024.
Leveraging Generative AI to Drive Nonprofit InnovationTechSoup
In this webinar, participants learned how to utilize Generative AI to streamline operations and elevate member engagement. Amazon Web Service experts provided a customer specific use cases and dived into low/no-code tools that are quick and easy to deploy through Amazon Web Service (AWS.)
Temple of Asclepius in Thrace. Excavation resultsKrassimira Luka
The temple and the sanctuary around were dedicated to Asklepios Zmidrenus. This name has been known since 1875 when an inscription dedicated to him was discovered in Rome. The inscription is dated in 227 AD and was left by soldiers originating from the city of Philippopolis (modern Plovdiv).
InstructionsACTCOEFF.XLSThis workbook will calculate activities, a.docx
1. InstructionsACTCOEFF.XLSThis workbook will calculate
activities, activity coefficients, and excess Gibbs energiesfor
several activity models. MargulesWorksheet using the Margules
equation with two adjustable parameters.Regular A
spreadsheet to calculate VLE for methanol + benzene using van
Laar and Scatchard/Hildbrand theory.NRTLBinary NRTL
model.NRTL5Multicomponent NRTL with up to 5
components.UNIQUACA spreadsheet to use with the binary
UNIQUAC activity coefficient model.UNIQUAC5A spreadsheet
to use UNIQUAC with up to 5 components.ANTOINETable of
Antoine Coefficients.UNIFAC (VLE)A spreadsheet to use with
the UNIFAC activity coefficient model for VLE for up to 5
components.aij-UNIFAC (VLE)Database of parameters used by
UNIFAC for VLE.UNIFAC (LLEa,b)Two spreadsheets to use
with the UNIFAC activity coefficient model for LLE for up to 5
components.aij-UNIFAC (LLE)Database of parameters used by
UNIFAC for LLE.LLELiquid + Liquid equilibria: Water + MEK
example used in the text.Worksheets are protected. Values in
blue may be changed without unlocking the spreadsheet, which
willpermit most common calculations.Copyright 1997-2012,
Carl Lira, Richard ElliottFor use with "Introductory Chemical
Engineering Thermodynamics" by J.R. Elliott, C.T.
Lirawww.egr.msu.edu/~lira/thermtxt.htm
MargulesMargules EquationGE/RT = x1 x2 ( A21 x1 + A12 x2
)Margules ParametersA12_A21_1.8611.6365Table x1
increment0.05x1x2gamma1gamma2activity1activity2G(mix)
/RT0.01.06.430163721139841.00.01.00.00.050.955.2555852854
677661.00517094844374740.26277926427338830.95491240102
156-
0.110650930845872630.10.94.3537650522542811.02061562586
51410.435376505225428150.918554063278627-
0.15961347339144820.150000000000000020.853.65432765806
92971.04645511877098830.54814914871039470.889486850955
34-
3. 0.209761775305990720.90000000000000020.099999999999999
761.01467564515553453.903735830915570.9132080806399814
0.390373583091556-
0.175777473391447950.95000000000000030.049999999999999
711.00359256283958994.4691685070393420.953412934697610
70.2234584253519658-
0.120248305845872181.00000000000000020.01.05.1371579575
493551.00000000000000020.00.0
RegularThe bubble temperatures and vapor compositions at each
temperature are computedusing: (1) the Scatchard-Hildebrand
model with zero binary interaction coefficient;(2) the
Scatchard-Hildebrand model with binary interaction coefficient
chosen to match the bubble pressure near the azeotrope; (3) the
van Laar model; The system illustrated below is the
methanol+benzene system. The bubble temperatures are
computed by setting the target y1+y2=1 by changing the
estimated temperature. This is repeatedfor each composition for
each model.Pure Component DataAntoine CoeffABCVL
(cm3/mol)d
(cal/cm3)1/21MeOH8.080971582.271239.7264014.52benzene6.
879871196.76219.161889.2Mixture data to be used in all
sets:Methanol+benzene data from Perry's 6th p13-12 and 13.59
P =760mm
Hgx100.0260.050.0880.1640.28420941450.3330.5490.6990.782
0.8980.97303263260.9731y100.2670.3710.4570.5260.5590.5950
.6330.6650.760.9071T
(C)80.170.6766.4462.8760.258.6458.0258.158.4759.962.764.7C
alculations based on
dataT(K)353.25343.82339.59336.02333.35331.79331.17331.253
31.62333.05335.85337.85F100.01198819620.0233644860.04201
680670.08186900960.15288717440.1849588980.35621593560.5
1351748460.61984781230.80007127580.94253152010.9424641
6121Scatchard-Hildebrand model with zero binary interaction
coefficient (x's from above) see plot ----
>x100.0260.050.0880.1640.28420941450.3330.5490.6990.7820.
8980.97303263260.9731g14.95691057394.89538924654.806787
6. azeotrope is taken as x1 = y1 = 0.614, T(C) =
58.3P1sat591.2878949655g11.2853298816A121.9847477283
Carl Lira: These values are calculated from the activitiy
coefficient and composition values at the azeotrope.
Carl Lira: Bubble temperatures can be found across the
composition range using Solver by setting this to zero and
adjusting B30:O30
Carl Lira: Then, use Solver to adjust B47:O47 to calc bubble
T's.P2sat368.6507859883g22.0615716252A211.7424010368x10
0.0260.050.0880.1640.28420941450.3330.5490.6990.7820.8980
.97303263260.9731g17.27721131926.48400245175.8508002077
5.00842397253.76576634512.56261793042.2401650741.416873
65521.16109677781.07974531541.01645225741.00112040761.0
0112313131g211.00151845991.00558976951.01723362881.059
84703851.18411028761.25733512181.8006654532.5031386296
3.07896610484.22383562055.26252251335.26200625665.71103
93898P1sat1360.4232348651035.6253453081885.786664824475
9.2857358348653.4823405831605.4583220759599.3687985022
591.8375498452593.2068242722602.279738076644.909921032
8716.6530879716716.6080215778759.9949501422P2sat759.995
8696731600.2020122383524.0995349406458.400269742402.24
88441541376.3475698787373.0431116383368.949811832369.6
945625956374.6233047996397.6455313057435.9168982413435
.893032879458.772749737y1
calc00.22972359110.34095794750.44032709150.53102807380.
58022038270.58830805430.60574856430.63348763420.669133
4520.7745488030.91856333050.9184772620.9999933555y2
calc0.99999456540.77037427190.65878641320.55956020380.4
6895447080.41971419740.41164449680.39424235030.3665058
1440.33085873120.22541857190.08139966740.0814857110T(K
)353.2494183735345.7697705623341.6401457125337.67384081
08333.9082925468332.0284756469331.7812869091331.472653
7. 4359331.5290101879331.8997098002333.5813976996336.2126
79345336.2110968661337.6975636968OBJ(Syi-
1)200.00000000960.00000006540.00000001270.00000000030.0
0000000430.00000000230.000000000100.00000000010.000000
00110.00000000140.000000001400.0000000985
Carl Lira: After determining the A12 and A21, the bubble
temperatures are calculated across the composition range as
before.
0 2.5999999999999999E-2 0.05 8.7999999999999995E-2
0.16400000000000001 0.28420941450762771
0.33300000000000002 0.54900000000000004
0.69899999999999995 0.78200000000000003
0.89800000000000002 0.97303263263832951
0.97299999999999998 1 353.24944412400248
347.54199618187357 343.53516626418633
338.7873661067195 332.77230370337787
328.13092185097713 327.20056449507689
326.28446968306304 326.51355866430913
326.05156062611064 324.35300375485554
328.12930409461444 328.12296939939716
337.69756308826925 0 0.18523807606481901
0.30110019978909031 0.42490450918554279
0.56413292160300499 0.6635958059604512
0.68426254011950605 0.70609242119422044
0.6668775292468565 0.62387464473882026
0.55592059370370883 0.66337888032750214
0.66318930258351361 0.99999333150316094
353.24944412400248 347.54199618187357
343.53516626418633 338.7873661067195
332.77230370337787 328.13092185097713
327.20056449507689 326.28446968306304
326.51355866430913 326.05156062611064
324.35300375485554 328.12930409461444
328.12296939939716 337.69756308826925 0
2.5999999999999999E-2 0.05 8.7999999999999995E-2
17. (mm
Hg)98.4928864843Ki,old0.53096394035.06253426412.6115685
14T (K) =298.15Phase aPhase
bKi,new0.53096394035.06253426412.6115685141234512345xai
,old0.89108725960.09891274040.01NameWaterMEKAceticNam
eWaterMEKAcetic00xai,new0.89108726510.09891273490.01x8.
91E-019.89E-021.00E-021.00E-111.00E-11x4.73E-015.01E-
012.61E-021.00E-111.00E-
11xbi,old0.4731449730.50073914230.0261158847g1.065207740
17.71752720920.08403548774.26924344361.1873164506g2.006
17717941.52443950130.0321781671.01855920220.6973857453
xbi,new0.47313520550.50074910940.0261156851xg0.94919304
610.76336176540.000840354900xg0.94921264740.7633465283
0.000840361300r0.923.24792.20243.191.43To avoid having the
screen jump to follow the q1.42.8762.0722.41.43cursor during
macro execution, just hide
ALLF0.70485107350.27621304610.018935880400F0.20540829
110.76745002090.02714168800of the columns that contain the
activity
coefficientq0.80344557680.18321005710.01334436600q0.30714
569960.66776337570.025090924700calculations before
executing the
macro.Sixiri1.1630829684Sixiqi1.5527152049Sixiri2.11916165
99Sixiqi2.1566408486aij matrix (i = row, j=column), enter 0's
for unused cells1234511-2.0882254.1500Note: to minimize the
possibility of errors, all of the pure component 2345.531-
254.1300and binary parameters are taken from the tables on the
left.3-301.02-4.5537100There is only one place to enter pure
component or binary parameters.400010500001tij matrix (i =
row,
j=column)12345111.00702844150.42638044121120.313827031
912.34516601931132.74457442681.01539041581114111115111
11ln(gcomb)0.03200118510.63061439680.46027016841.677681
09880.3064996718ln(gcomb)0.22907677240.04023750460.0320
7527080.5107759807-
0.0670360575Si(qitij)0.8975664511.00585234560.78557584591
19. Carl Lira: Liquid phase mole fractions. Enter a very small
number like 1E-20 or smaller for absent compounds - don't use
zero.XiQSi(QiYij)Qj/Si(QiYij)Sj{QjYkj/(SiQiYij)}ln
GSubGroupgi1.2671.7000.9801.10712.607Sinj(i)xi1.02.03.045.
0mix1.02.03.045.0mix1.02.03.045.0mix1.02.03.045.0mix1.02.0
3.045.0mix1.02.03.045.0mix1
Carl Lira: The sub-groups available in this table may be
changed in this column by changing the SubGroup number. If
you change a sub-group here, be sure to edit the component
structure information in the table. Available subgroups and
subgroup numbers are in Table 2 of sheet "aij-UNIFAC
(VLE)".CH32112
Carl Lira: Enter the number of occurences of a chemical
structure in this table for each component. Residual group
interaction parameters are not available for all groups, and are
treated as zero if unavailable. Check Table 1 on sheet "aij-
UNIFAC
(VLE)".1CH30.500.33333333330.33333333330.40.40.54289372
600.32465543640.32766615150.51145958990.37488947830.862
67128760.42801018690.72346665240.834229174110.72816077
90.6293170223308690.00.44874969062177210.3927771428228
9920.511459589867310.5148443710983210.76980760460.0240
3560390.86494250890.700214584910.62032420590.320471030
31.54723763140.38902705290.407915594300.59097900072CH2
1135E-20CH2000.33333333330.33333333330.62.0E-
20000.20673813170.20865533230.48854041011.193633952254
64E-
200.86267128760.42801018690.72346665240.834229174110.72
81607790.00.00.28576041619782660.25011752019382740.4885
40410132691.639245049487579E-
200.76980760460.02403560390.86494250890.700214584910.62
032420590.20407353350.98526924640.24772949120.25975757
1800.37633096743CH10.5CH0.2500000.20.072983354700000.0
503978780.86267128760.42801018690.72346665240.83422917
23. Carl Lira: Vapor phase mole fractions calculated automatically.
Carl Lira: The sub-groups available in this table may be
changed in this column by changing the SubGroup number. If
you change a sub-group here, be sure to edit the component
structure information in the table. Available subgroups and
subgroup numbers are in Table 2 of sheet "aij-UNIFAC (VLE)".
Carl Lira: As distributed, this cell has a formula to calculate the
bubble pressure.
Carl Lira: Liquid phase mole fractions. Enter a very small
number like 1E-20 or smaller for absent compounds - don't use
zero.
Carl Lira: Enter the number of occurences of a chemical
structure in this table for each component. Residual group
interaction parameters are not available for all groups, and are
treated as zero if unavailable. Check Table 1 on sheet "aij-
UNIFAC
(VLE)".q3.12401.40002.61202.58803.3160r3.24910.92002.8768
2.57553.8254qi0.69050.30950.00000.00000.0000Fi0.77930.220
70.00000.00000.0000lngC0.00420.09940.16250.01520.2233lng
Ro1.31970.00001.18121.09150.0000lngR1.55200.43130.99831.
17842.3110
aij-UNIFAC (VLE)Parameters from "Chemical Engineering
Thermodynamics", Y.V.C. Rao,Sangam Books, London,
1997.Table 3. Interaction Parameters to be used in the
calculations for the selected groups as indicated on sheet
"UNIFAC (VLE)".Table 1. Residual Group Interaction
Parameters for Main Groups.Do not edit this table unless you
want to reprogram. Change values in Tables 1 and 2 unless you
want to reprogram.For a new main group, carefully replace all
entries for the row and column associated with the new group.
You must unprotectthe sheet, and then change only the values in
24. blue. See Table 2 on this sheet for subgroup
parameters.T=80.37C(The chemical structures for the main
groups listed here are shown in Table 2 below).aij (i=column,
j=row)NOTE: BLANK CELLS MEAN THE VALUE IS
UNAVAILABLE AND A VALUE OF ZERO IS USED IN
CALCULATIONS.SubMain11133445678910111417202223461.
02.03.04.05.06.07.08.09.010.011.014.017.020.022.023.046.0Gro
upGroupRQCH3CH2CHACHACACCH3ACCH2OHCH3OHH2O
ACOHCH3COCHOCH3COOCH2NH2ACNH2COOHCCL2CCL3
CON(CH2)21.0086.0261.1376.5986.5697.213181333476.467723
2.1391.5920.7663.553.7624.9380.911.0CH30.90110.84800061.1
361.1376.576.5986.5697.213181333476.4677232.1391.5920.766
3.553.7624.9380.9CH32.0-
35.36038.8174.15524.1787.6270.6526.1182.6448.837.85240.97
49.3318.958.55-
13.99200.221.0CH20.67440.5400061.1361.1376.576.5986.5697.
213181333476.4677232.1391.5920.7663.553.7624.9380.9CH23.
0-
11.123.4460167636.1637.3903.8132925.77347.35.994161.7648.
2537.4-144.4-
231.931.0CH0.44690.22800061.1361.1376.576.5986.5697.2131
81333476.4677232.1391.5920.7663.553.7624.9380.9CH4.0-
69.7-113.6-146.80803.2603.25695884.9-
52.1586.6568819.02664.2872.3-111-80.2593.0ACH0.53130.4-
11.12-11.12-
11.1200167167636.1637.3903.8132925.77347.35.994161.7648.2
537.4-144.4-231.90ACH5.0156.445789.625.820-137.1353.5-
259.784-203.6101.18.642-52.3919965.28-98.12-
382.7103.0AC0.36520.12-11.12-11.12-
11.1200167167636.1637.3903.8132925.77347.35.994161.7648.2
537.4-144.4-231.90AC6.016.51-12.52-50-44.5249.10-181-
101.723.39306.4-10.72359.3489.7-202-102.5-
139.4114.0ACCH31.26630.968-69.7-69.7-69.7-146.8-
146.800803.2603.25695884.9-52.1586.6568819.02664.2872.3-
111-80.250ACCH37.0300496.1362.3377.6-229.1289.60324.5-
195.4-11672.8748.89243.2-
29. 64220COOH1.30131.2244922CCL21.80161.4485123CCL32.640
12.1849946CON(CH2)22.40541.812
UNIFAC (LLEa)Liquid-liquid calculation using UNIFAC LLE.
Sheet for first liquid phase. See also "UNIFAC
(LLEb)".Instructions: Type the temperature of interest in
centigrade. Then enter the numberof occurences of each
functional group in each component. If you have less than
5components, type a samll number like 1E-20 for the mole
fractions of the absent components. If you wantthe pressure to
be computed automatically, you must enter the Antoine
coefficients of the components. To use different functional
groups than those provided,follow the instructions on the aij-
UNIFAC sheet.
Carl Lira: This sheet does not yet have the cabability for
specification of other functional groups without editing "aij-
UNIFAC (LLE)". That will be provided in the
future.Note:hidden P=86.4463839648mmHgcolumns with -><-
T(oC)=25oCintermediate calcsAntoine Coefficients (mmHg)
log10(Psat)=A-B/(T+C) where T[=]
oCcomp1comp2comp3comp4comp5Note: MeOH is not a unique
group in the citation used to A 8.071317.2806621082develop
this sheet.B1730.631434.2010693622T. Magnussen, P.
Rasmussen, A. Fredenslund, C233.426246.4990457476Ind. Eng.
Chem. Process Des. Dev., 1981, 20, 331-
339.Psat[mmHg]23.686413553199.571488315111yi0.260790.73
7630.001580.000000.00000a phase123comp4comp5Table for
LLE as described in text.WaterMEKc2-COOHEtOHC5H12Can
be used for binary or
ternary.x0.8300.1000.0700.0000.000XiQSi(QiYij)Qj/Si(QiYij)S
j{QjYkj/(SiQiYij)}ln GFollow text instructions to create
macrogi1.1476.4141.9511.705199.114Sinj(i)xi1.02.03.045.0mix
1.02.03.045.0mix1.02.03.045.0mix1.02.03.045.0mix1.02.03.045
.0mix1.02.03.045.0mix123CH311120.1698474303CH300.33333
333330.33333333330.33333333330.40.126780683628809600.29
485396380.32465543640.32766615150.51145958990.08824244
33. 0975-
1.1461643172Sknk(i)xi0.83015256970.29954229080.213E-
205E-
201.3396948605SiXiQi1.40.95866666670.87066666670.862666
66670.66321.2183481889N
groups13335q1.40002.87602.61202.58803.3160r0.92003.24792.
87682.57553.8254qi0.71200.17590.11200.00000.0000Fi0.59230
.25150.15620.00000.0000lngC0.06060.44300.37950.06760.4747
lngRo0.00000.87191.14481.28620.0000lngR0.07612.28741.433
91.75224.8192
UNIFAC (LLEb)Second liquid phase for LLE calculations.This
sheet should be used in conjunction with "UNIFAC (LLEa)".The
liquid phase mole fractions are the only variables that should be
changed on this sheet.All component information is entered on
"UNIFAC (LLEa)" and replicated here
automatically.Note:hidden P=85.6032342484mmHgcolumns
with -><-T(oC)=25oCintermediate calcsAntoine Coefficients
(mmHg) log10(Psat)=A-B/(T+C) where T[=]
oCcomp1comp2comp3comp4comp5A
8.071317.2806621082000B1730.631434.2010693622000b
phaseC233.426246.4990457476000Psat[mmHg]23.68641355319
9.571488315111yi0.260790.737630.001580.000000.00000comp
1comp2comp3comp4comp5WaterMEKc2-
COOHEtOHC5H12x0.7730.1390.0880.0000.000XiQSi(QiYij)Qj
/Si(QiYij)Sj{QjYkj/(SiQiYij)}ln
Ggi1.2354.5411.5351.396104.701Sinj(i)xi1.02.03.045.0mix1.02
.03.045.0mix1.02.03.045.0mix1.02.03.045.0mix1.02.03.045.0mi
x1.02.03.045.0mixCH3011120.2270836894CH300.33333333330
.33333333330.33333333330.40.1561606268539709700.2948539
6380.32465543640.32766615150.51145958990.11248586810.31
713896450.89648164980.53274391110.69054504810.48140209
960.00.32890128193206970.60940243462368140.47450365827
8542630.511459589867310.233663019273376650.01277555930
.71038274641.36375684890.878236808610.42517366331.81102
243840.33826271280.2255320350.417247596501.1073851621C
H2011130.2270836894CH200.33333333330.33333333330.3333
37. spreadsheet UNIFAC (LLE)To change functional groups, trade
for one of the functional groups listed unless you want to
reprogram.If you want to use a different subgroup, you may just
change the R and Q parameters, and leave the aijmatrix.For a
new main group, carefully replace all entries for the row and
column associated with the new group. You must unprotectthe
sheet, and then change only the values in blue.Parameters from
T. Magnussen, P. Rasmussen, A. Fredenslund, T=25CInd. Eng.
Chem. Process Des. Dev., 1981, 20, 331-339.aij (i=column,
j=row)NOTE: Blank cells mean value is
unavailableMain10034057891011131415171822GroupRQCH3C
H2CHACHACCH2ACCH3OH2-
PropanolH2OACOHCH3COCHOCOOHCH3COOCH2OCHCL2C
CL3ACNH21CH30.90110.848000-114.8-115.7-
115.7644.6310.713002255472.6158.1139.4972.4662.1-
243.97.5902.2CH3CH20.67440.54000-114.8-115.7-
115.7644.6310.713002255472.6158.1139.4972.4662.1-
243.97.5902.2CH2CH0.44690.228000-114.8-115.7-
115.7644.6310.713002255472.6158.1139.4972.4662.1-
243.97.5902.2CH3ACH0.53130.4156.5156.5156.50167167703.9
577.3859.41649593.7362.3461.8632.14-
231.91.64ACH4ACCH21.03960.66104.4104.4104.4-
146.8004000906.85695292.6916.71218339.15688213.1-
12.14689.6ACCH2ACCH31.26630.968104.4104.4104.4-
146.8004000906.85695292.6916.71218339.15688213.1-
12.14689.6ACCH35OH11.2328.2328.2328.2-
9.211.271.270991.328.73-195.567.071409-104195.6262.5272.2-
61.57-348.2OH72-Propanol3.24913.124-131.9-131.9-131.9-252-
273.6-273.6-268.805.89-153.2353.8-338.6-
57.98487.11970507.815442-
Propanol8H2O0.921.4342.4342.4342.4372.8203.7203.7-
122.4104.90344.5-171.8-349.9-465.7-6.3264.42370.7356.8-
109.8H2O9ACOH0.89520.68-159.8-159.8-159.8-473.2-470.4-
470.4-63.15-547.2-595.90-825.7-898.3-
851.6ACOH10CH3CO1.67241.48866.5666.5666.56-78.31-
73.87-73.87216-127.6634.8-5680-37.361247258.75.202-
40. 3127024590.93127024590.93127024590.37998110870.8933931
9030.89339319030.24577950254.76818368530.0699198410.317
351773810.28871140530.55322864461.0727222366111.288177
2579ACNH20.55452904710.55452904710.55452904712.083802
18291.05304439551.05304439550.169606421512.23511602851
7.91181119880.056318066610.10173063431112.0657095081
revisions12/12/11added NRTL and NRTL5 (CTL)3/30/18fix
bugs in UNIFAC LLE. Fix errors in aij for groups aij (18,10),
aij (18,14).Fix UNIFAC (LLEa) and UNIFAC (LLEb) to extend
formulas in rows 51 and 51 through row 41.
LLEWater(1)+mek(2) at 298K by UNIFAC (cf Arce,
JCEDat,40:226)Summary of calculations for Example in
Textbookx1DGmix/RTgwgmekgw*xwgmek*xmekCoexistence
calculation0.000.023.5499961170110871.00.01.0
@x1~0.350.05-
0.0585262631843911412.205286565738751.0158030640836784
0.61026432828693760.96501291087949440.10-
0.073170809828983557.8862555732243371.0517384542819028
0.78862555732243370.94656460885371250.15-
0.079417118711015915.753101557358791.0997637837520480.
86296523360381850.93479921618924080.20-
0.081901861537314954.5204513534279051.1571646445255261
0.90409027068558110.9257317156204210.25-
0.082054004240710993.72888446886323251.223446424473091
80.93222111721580810.91758481835481890.30-
0.080443209087971773.1801181268903461.2994255361803948
0.95403543806710380.90959787532627630.35-
0.077358534263080922.776637425900761.38702313131310830
.9718230990652660.90156503535352040.40-
0.07300106901979342.4656832482308411.48939753220023750
.98627329929233640.89363851932014250.45-
0.06756176068428032.2165813769560591.61135740574286660
.99746161963022650.88624657315857670.50-
0.0612593309783850272.0104943308265221.760143027890038
71.0052471654132610.88007151394501940.55-
0.054363498549103331.83537570546113571.946817750814518
42. 0.55000000000000004 0.6 0.65 0.7 0.75 0.8 0.85
0.9 0.95 1 0 0.61026432828693755
0.78862555732243367 0.86296523360381849
0.90409027068558112 0.93222111721580814
0.95403543806710378 0.97182309906526598
0.98627329929233643 0.9974616196302265
1.0052471654132611 1.0094566380036247
1.0099893169647214 1.0068981576656892
1.0004766312025006 0.99137730846246774
0.98080075512216336 0.97083217607706018
0.96510827683892353 0.97030549125687682
1.0000000000105798 0 0.05 0.1 0.15 0.2 0.25
0.3 0.35 0.4 0.45 0.5 0.55000000000000004 0.6
0.65 0.7 0.75 0.8 0.85 0.9 0.95 1 1
0.96501291087949437 0.94656460885371252
0.93479921618924078 0.925731715620421
0.91758481835481887 0.90959787532627634
0.90156503535352039 0.89363851932014249
0.88624657315857669 0.88007151394501937
0.87606798786653295 0.87551552826017787
0.88010222044219633 0.89201968358586436
0.9139667400408561 0.94861074163709913
0.99553492721594239 1.0362675510003589
0.95438316928185174 0
xw
xigi
Week 6 Discussion 1 Course Reflection
In this final discussion, reflect upon your overall learning
experience and relate it to your earned specialization and/or
advanced degree as well as your current or future practice
serving at-risk children and families. Your reflection must
include the learning you have gained about the topics of this
43. course and learning from the creation of your website. Review
the Week Six Instructor Guidance to further support your
response to this discussion. You may respond to this discussion
in written form, or through a video and/or audio recording of
yourself using the digital technology of your choosing.
Initial Post: Create an initial post that addresses the following:
· What new insights have you obtained about at-risk children
and families overall?
· What specific concepts have you learned that have left a more
lasting impression or impact on you? How and/or why have
these concepts impacted you more significantly than others?
· What affirmations have you gained about your current or
future role working with at-risk children and families from
reflecting on your learning? Be sure to indicate what your
professional focus is (e.g., education, early childhood
education, family and community service, etc.).
· How has the construction and review of others’ websites added
value to your learning experience? Include challenges you may
have experienced during the process and how you overcame
them.
Guided Response: Respond to a minimum of two peers. Make an
effort to respond to someone in a similar professional field and
one with a different professional focus. What similarities and
differences did you discover between your peers’ and your own
overall learning and lasting impressions? Provide specific
feedback regarding the potential application of their learning to
their professional practice. How does the value they gleaned
from the website construction and sharing opportunities support
and differ from your own reflection on this process? As
mentioned in prior discussions, though two replies is the basic
expectation, for deeper engagement and learning you are
encouraged to provide responses to any comments or questions
others have given to you to further the conversation while also
giving you opportunities to demonstrate your content expertise,
critical thinking, and real world experiences with the course
topics.
44. Required Resources
Text
Rubin, A. (2012). Clinician’s guide to evidence-based practice:
Programs and interventions for maltreated children and families
at risk. Retrieved from https://redshelf.com
· Use any of the chapters within the text to support
enhancements made to any of the work included in your website
as well as to inform your work on the specific group at risk you
will select as a focus.
Week Six Instructor Guidance
Congratulations! And, welcome to the final week of EDU644:
Child and Family Welfare! Please be sure to review the Week
Six homepage for this course to see the specific learning
outcomes for the week, the schedule overview, the required and
recommended resources for the week, an introduction to the
week, and a listing of the assessments for the week. Next, be
sure to read this entire Instructor Guidance page.
Overview
Now is the time to reflect upon all you have learned and
experienced in this course. You have formed a foundational
concept of Child and Family Welfare including programming,
policies, resources, and strategies to best assist families and
children at risk. The past five weeks have addressed the
implementation of your website as a tool to provide support for
families and children at risk in your specialization. In Week Six
you will prepare your final website project consisting of the
requirements in the guidance. Also, you have the opportunity to
reflect deeply on your learning from Weeks One through Five in
the discussion thread.
Intellectual Elaboration
45. Reflecting on the EDU644 Experience
Over the last five weeks, we have focused on what it means to
be at-risk and the impact being an individual or group at risk
has on one’s ability to thrive. The ideas of team-based
approaches, the usage of different resources (local, state, and
federal), and the variety of populations at risk presented a
complex, yet targeted mosaic of opportunities to support
families and children at risk in order to improve their quality of
living and student academic success. As you reflect on the
numerous models, approaches, and strategies, think of how they
can be best applied to the populations at risk in a way that
builds long-term solutions.
Why Reflect?
Through reflective practice, a practitioner of any type can
reframe a troubling situation so problem-solving actions may
occur. Reflection is part of the learning process, whether a
novice or an expert. It allows one to utilize a repertoire of
understanding, images, and actions so as to respond most
effectively (Merickel, 1998). Progressing into the Week 6
discussion and final project requires you to contemplate your
learning experiences, course assessments, and concepts
examined during the course and determine their impact on you.
You will also relate your learning to that of your current or
anticipated role working with children and families at risk. As
both a learner and a professional, taking time to reflect upon
your own practice as well as the behaviors and progress of your
students or clients, is the first step in creating a road map
toward finding solutions or applying improvements.
Take time during Week Six to reflect on all you have learned
and accomplished!
46. Assessment Guidance
This section includes additional specific assistance for excelling
in the discussions for Week Six beyond what is given with the
instructions for the assessments. If you have questions about
what is expected on any assessment for Week Six, contact your
instructor using the Ask Your Instructor discussion before the
due date.
Discussion: Course Reflection
This discussion is an opportunity for you to further demonstrate
mastery with the five course learning outcomes, which are noted
on the course Syllabus.The course reflection allows you to
connect your ideas about families and children at risk by
selecting the most relevant experiences and resources that can
guide successful interventions. Select two or more aspects of
the course that is relevant for you as well as for improving the
lives of families and children. Consider your current or
anticipated professional position. How do you anticipate your
learning in this course will contribute to the work you do?
This final discussion is the final opportunity for you to make
your learning authentic! It also provides the chance to
communicate with one another and gain additional insight to
others’ learning, bringing up points you may not have
considered in your own original response.
Final Project: Creating a Web-Based Resource for a Population
at Risk
The final project is the culminating and comprehensive
opportunity for you to demonstrate your mastery of the five
course learning outcomes, which are noted on the course
Syllabus. The activities and concepts in the course informed
47. you about populations at risk as well as strategies and resources
to support these varied groups. Through your website research,
you have gained models for the Final Project where you will
demonstrate mastery of the five course learning outcomes by
assuming the role of a professional working with individuals or
families at risk. The assignment is to further refine and expand
the website resource that describes this population and provides
strategies and resources to support it.
Specialization Pages Instructions: Create three additional pages
in your website linked from the Homepage. Title the pages
specifically for your selected group at risk as shown in Content
Expectations for the assignment. The intention of the
specialization pages is to present yourself as an “expert” in a
particular group or sub-group, providing specific information
and supports related to the group. You may select a specific
group at risk from any of those studied during Weeks One
through Five or another specific group at risk not specifically
featured within the course. Many such groups are discussed in
the Rubin text such as children with trauma related issues and
PTSD, separation and attachment issues, and other groups such
as homeless veterans, and Central American refugee children
for which resources are recommended. It is recommend the
required information be represented using a mix of both text
and graphics such as charts, tables, and graphs. If a group
previously covered during the course work is selected as your
specialization, you must include information that expands upon
what was already shared in the previously designed pages,
showing more depth and different information than previously
learned and shared.
Also note in the Content Expectations the need to produce a text
(written) version of your website. This is purely for
accountability purposes during the evaluation process and to
verify originality through Turn It In (TII) which cannot occur
by reviewing the website alone.
48. Reference
Merickel, M. (1998). Reflective Practice: The reflective
practitioner. Retrieved from
http://oregonstate.edu/instruct/pte/module2/rp.htm