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A basic introduction to Design of Experiments (DOE) explaining how it works, the benefits of using it and how to use a common DOE application (MiniTab)
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How conduct a Design of Experiments
This document provides an overview of how to conduct a design of experiments (DOE). It explains that a DOE tests multiple factors at once to reduce the number of tests compared to testing each factor individually. A factor is an input that can change the output when varied. Different types of test arrays are described, including full factorial arrays and fractional arrays. It is important to select the appropriate array based on the number of factors. The document also discusses analyzing the results using ANOVA to determine significant factors and interactions between factors. It emphasizes the importance of conducting a confirmation run to validate the results of the DOE.
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Here are the key IR frequencies identified in the sample that match the reference standard of propafenone:
- C-C stretch at 1186 cm-1
- C=C stretch at 1651 cm-1
- C-H stretch (symmetric) at 2939 cm-1
- C-H bend at 1328 cm-1
- CH2 stretch (symmetric) at 1369 cm-1
- CH2 bend at 1485 cm-1
- CH3 bend at 1398 cm-1
- C-O stretch at 1100 cm-1
- C=O stretch at 1695 cm-1
- N-H stretch at 3417 cm-1
The IR spectrum
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Stability Indicating HPLC Method Development A Review
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This document provides an overview of how to conduct a design of experiments (DOE). It explains that a DOE tests multiple factors at once to reduce the number of tests compared to testing each factor individually. A factor is an input that can change the output when varied. Different types of test arrays are described, including full factorial arrays and fractional arrays. It is important to select the appropriate array based on the number of factors. The document also discusses analyzing the results using ANOVA to determine significant factors and interactions between factors. It emphasizes the importance of conducting a confirmation run to validate the results of the DOE.
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Also shown are some advanced methods of charting such as Delta from Target that allows easier use of SPC by floor shop personnel and maintains date/time sequence flow of product/measurements when there are multiple products run on a single machine.
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Introduction & Basics of DoE
Terminologies
Key steps in DOE
Softwares used for DOE
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Mixture Designs
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Box -Behnken Design
Conclusion
References
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Here are the key IR frequencies identified in the sample that match the reference standard of propafenone:
- C-C stretch at 1186 cm-1
- C=C stretch at 1651 cm-1
- C-H stretch (symmetric) at 2939 cm-1
- C-H bend at 1328 cm-1
- CH2 stretch (symmetric) at 1369 cm-1
- CH2 bend at 1485 cm-1
- CH3 bend at 1398 cm-1
- C-O stretch at 1100 cm-1
- C=O stretch at 1695 cm-1
- N-H stretch at 3417 cm-1
The IR spectrum
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The most common screening designs, such as two-level full factorial, fractionate factorial, and Plackett- Burman designs.
Optimization designs, such as three-level full factorial, central composite designs (CCD), and Box-Behnken designs.
Analysis of variance (ANOVA) used in multiple regression analysis to evaluate regression significance, residual error, and lack-of-fit adjustment.
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factorial design.pptx
DESIGN OF EXPERIMENTS (DOE)
DOE is invented by Sir Ronald Fisher in 1920’s and 1930’s.
The following designs of experiments will be usually followed:
Completely randomised design(CRD)
Randomised complete block design(RCBD)
Latin square design(LSD)
Factorial design or experiment
Confounding
Split and strip plot design
FACTORIAL DESIGN
When a several factors are investigated simultaneously in a single experiment such experiments are known as factorial experiments. Though it is not an experimental design, indeed any of the designs may be used for factorial experiments.
For example, the yield of a product depends on the particular type of synthetic substance used and also on the type of chemical used.
ADVANTAGES OF FACTORIAL DESIGN.
Factorial experiments are advantageous to study the combined effect of two or more factors simultaneously and analyze their interrelationships. Such factorial experiments are economic in nature and provide a lot of relevant information about the phenomenon under study. It also increases the efficiency of the experiment.
It is an advantageous because a wide range of factor combination are used. This will give us an idea to predict about what will happen when two or more factors are used in combination.
DISADVANTAGES
It is disadvantageous because the execution of the experiment and the statistical analysis becomes more complex when several treatments combinations or factors are involved simultaneously.
It is also disadvantageous in cases where may not be interested in certain treatment combinations but we are forced to include them in the experiment. This will lead to wastage of time and also the experimental material.
2(square) FACTORIAL EXPERIMENT
A special set of factorial experiment consist of experiments in which all factors have 2 levels such experiments are referred to generally as 2n factorials.
If there are four factors each at two levels the experiment is known as 2x2x2x2 or 24 factorial experiment. On the other hand if there are 2 factors each with 3 levels the experiment is known as 3x3 or 32 factorial experiment. In general if there are n factors each with p levels then it is known as pn factorial experiment.
The calculation of the sum of squares is as follows:
Correction factor (CF) = (𝐺𝑇)2/𝑛
GT = grand total
n = total no of observations
Total sum of squares = ∑▒〖𝑥2−𝐶𝐹〗
Replication sum of squares (RSS) = ((𝑅1)2+(𝑅2)2+…+(𝑅𝑛)2)/𝑛 - CF
Or
1/𝑛 ∑▒𝑅2−𝐶𝐹
2(Cube) FACTORIAL DESIGN
In this type of design, one independent variable has 2 levels, and the other independent variable has 3 levels.
Estimating the effect:
In a factorial design the main effect of an independent variable is its overall effect averaged across all other independent variable.
Effect of a factor A is the average of the runs where A is at the high level minus the average of the runs
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The document describes using evolutionary operation (EVOP) to optimize biodiesel production yield through incremental changes to methanol to oil ratio and sodium hydroxide catalyst concentration. It details conducting a first phase, cycle 1 experiment using a 22 factorial design at current operating conditions and high/low settings for each factor. Initial yields average 88.8%, with the maximum obtained at a methanol ratio of 0.34 and catalyst concentration of 0.95%.
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design of experiments.ppt
Experimental methods are widely used in industrial settings and research activities. In industrial settings, the main goal is to extract the maximum amount of unbiased information regarding the factors affecting production process form few observations, whereas in research, ANOVA techniques are used to reveal the reality. Drawing inferences from the experimental result is an important step in design process of product. Therefore, proper planning of experimentation is the precondition for accurate conclusion drawn from the experimental findings. Design of experiment is powerful statistical tool introduced by R.A. Fisher in England in the early 1920 to study the effect of different parameters affecting the mean and variance of a process performance characteristics
Taguchi's orthogonal arrays are highly fractional orthogonal designs. These designs can be used to estimate main effects using only a few experimental runs.
Consider the L4 array shown in the next Figure. The L4 array is denoted as L4(2^3).
L4 means the array requires 4 runs. 2^3 indicates that the design estimates up to three main effects at 2 levels each. The L4 array can be used to estimate three main effects using four runs provided that the twthree-factoro factor and three factor interactions can be ignored.
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- Response surface methodology (RSM) is used to optimize processes with multiple variables to maximize or minimize a response. It uses experimental design and regression analysis.
- The method of steepest ascent is used to sequentially move from an initial guess towards the optimum region using a first-order model. Additional experiments are conducted to fit higher-order models closer to the optimum.
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According to ICH Q8 Quality should be built into the product.
Design of Experiments (DoE) generate knowledge about a product or process and established a Mathematical relationship of dependent variables and independent variables.
The most common screening designs, such as two-level full factorial, fractionate factorial, and Plackett- Burman designs.
Optimization designs, such as three-level full factorial, central composite designs (CCD), and Box-Behnken designs.
Analysis of variance (ANOVA) used in multiple regression analysis to evaluate regression significance, residual error, and lack-of-fit adjustment.
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Quality By Design:
QbD is “a systematic approach to pharmaceutical development that begins with predefined objectives and emphasizes product and process understanding and process control, based on sound science and quality risk management”
Goals Of Pharmaceutical QbD:
To achieve meaningful product quality specifications
To increase process capability and reduce product variability
To increase pharmaceutical development and manufacturing efficiencies and
To enhance cause-effect analysis and regulatory flexibility.
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Technology transfer is important for successful progress of drug development from research to commercialization. This presentation discusses technology transfer from research and development to pilot plant and full-scale production of non-sterile semisolids. It covers the importance of pilot plants in scale-up, factors to consider in scaling up semisolids like mixing equipment and homogenization processes. SUPAC guidelines for scale-up and post-approval changes are also summarized. A case study demonstrates issues encountered like congealing during scale-up of a cream formulation containing diethylene glycol monoethyl ether from lab to pilot scale.
factorial design.pptx
DESIGN OF EXPERIMENTS (DOE)
DOE is invented by Sir Ronald Fisher in 1920’s and 1930’s.
The following designs of experiments will be usually followed:
Completely randomised design(CRD)
Randomised complete block design(RCBD)
Latin square design(LSD)
Factorial design or experiment
Confounding
Split and strip plot design
FACTORIAL DESIGN
When a several factors are investigated simultaneously in a single experiment such experiments are known as factorial experiments. Though it is not an experimental design, indeed any of the designs may be used for factorial experiments.
For example, the yield of a product depends on the particular type of synthetic substance used and also on the type of chemical used.
ADVANTAGES OF FACTORIAL DESIGN.
Factorial experiments are advantageous to study the combined effect of two or more factors simultaneously and analyze their interrelationships. Such factorial experiments are economic in nature and provide a lot of relevant information about the phenomenon under study. It also increases the efficiency of the experiment.
It is an advantageous because a wide range of factor combination are used. This will give us an idea to predict about what will happen when two or more factors are used in combination.
DISADVANTAGES
It is disadvantageous because the execution of the experiment and the statistical analysis becomes more complex when several treatments combinations or factors are involved simultaneously.
It is also disadvantageous in cases where may not be interested in certain treatment combinations but we are forced to include them in the experiment. This will lead to wastage of time and also the experimental material.
2(square) FACTORIAL EXPERIMENT
A special set of factorial experiment consist of experiments in which all factors have 2 levels such experiments are referred to generally as 2n factorials.
If there are four factors each at two levels the experiment is known as 2x2x2x2 or 24 factorial experiment. On the other hand if there are 2 factors each with 3 levels the experiment is known as 3x3 or 32 factorial experiment. In general if there are n factors each with p levels then it is known as pn factorial experiment.
The calculation of the sum of squares is as follows:
Correction factor (CF) = (𝐺𝑇)2/𝑛
GT = grand total
n = total no of observations
Total sum of squares = ∑▒〖𝑥2−𝐶𝐹〗
Replication sum of squares (RSS) = ((𝑅1)2+(𝑅2)2+…+(𝑅𝑛)2)/𝑛 - CF
Or
1/𝑛 ∑▒𝑅2−𝐶𝐹
2(Cube) FACTORIAL DESIGN
In this type of design, one independent variable has 2 levels, and the other independent variable has 3 levels.
Estimating the effect:
In a factorial design the main effect of an independent variable is its overall effect averaged across all other independent variable.
Effect of a factor A is the average of the runs where A is at the high level minus the average of the runs
Evolutionary Operation
The document describes using evolutionary operation (EVOP) to optimize biodiesel production yield through incremental changes to methanol to oil ratio and sodium hydroxide catalyst concentration. It details conducting a first phase, cycle 1 experiment using a 22 factorial design at current operating conditions and high/low settings for each factor. Initial yields average 88.8%, with the maximum obtained at a methanol ratio of 0.34 and catalyst concentration of 0.95%.
Optimization
The document discusses optimization in pharmaceutical formulation and processing. It defines optimization as choosing the best alternative from available options. Optimization in pharmacy involves formulating drug products using the best combination of ingredients and processing parameters. Experimental design techniques are used to optimize multiple variables. Response surface methodology and central composite designs are commonly used to model quadratic relationships between variables. The document outlines different types of experimental designs and their applications in pharmaceutical optimization.
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DEVIATION, OOS &OOT
This document discusses deviations and out-of-specification/out-of-trend results in the pharmaceutical industry. It defines deviations as unwanted events that differ from approved processes or standards. Deviations are classified as major, critical, or minor depending on their impact. Out-of-specification results occur when test results fall outside predetermined specifications, requiring investigation. Out-of-trend results differ from historical results but are still within specifications, also necessitating investigation. The document provides examples of planned and unplanned deviations as well as approaches to minimize out-of-specification results through good practices.
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The drug or drug combination may not be official in any pharmacopoeias.
A proper analytical procedure for the drug may not be available in the literature due to patent regulations.
Analytical methods may not be available for the drug in the form of a formulation due to the interference caused by the formulation excipients.
Analytical methods for the quantitation of the drug in biological fluids may not be available.
Analytical methods for a drug in combination with other drugs may not be available.
The existing analytical procedures may require expensive reagents and solvents. It may also involve cumbersome extraction and separation procedures and these may not be reliable.
Q2 r1 guidelines
The document discusses validation of analytical procedures. It defines validation as establishing by laboratory studies that an analytical procedure meets requirements for its intended use. It describes the typical steps in validating identification tests, quantitative impurity tests, and assays. Key validation characteristics discussed include specificity, linearity, range, accuracy, precision, detection and quantitation limits, robustness, and ruggedness. The guidelines provide details on establishing each characteristic to help ensure analytical methods are suitable for their intended pharmaceutical applications.
Research Methodology 2
This document provides an overview of the methodology used in clinical trials. It defines key terms like randomized controlled trials, control groups, randomization, and blinding. It describes the various phases of clinical trials including phases 1-3 and post-marketing studies. Phase 1 trials test safety in healthy volunteers while phases 2 and 3 test efficacy in larger patient populations. The goals of each phase are explained as well as important demographic information. The document also outlines the drug development process from preclinical research through regulatory approval and commercialization.
Statistical Process Control Part 2
Statistical Quality Control (SQC) is the term used to describe the set of statistical tools used by quality professionals.
design of experiments.ppt
Experimental methods are widely used in industrial settings and research activities. In industrial settings, the main goal is to extract the maximum amount of unbiased information regarding the factors affecting production process form few observations, whereas in research, ANOVA techniques are used to reveal the reality. Drawing inferences from the experimental result is an important step in design process of product. Therefore, proper planning of experimentation is the precondition for accurate conclusion drawn from the experimental findings. Design of experiment is powerful statistical tool introduced by R.A. Fisher in England in the early 1920 to study the effect of different parameters affecting the mean and variance of a process performance characteristics
Taguchi's orthogonal arrays are highly fractional orthogonal designs. These designs can be used to estimate main effects using only a few experimental runs.
Consider the L4 array shown in the next Figure. The L4 array is denoted as L4(2^3).
L4 means the array requires 4 runs. 2^3 indicates that the design estimates up to three main effects at 2 levels each. The L4 array can be used to estimate three main effects using four runs provided that the twthree-factoro factor and three factor interactions can be ignored.
Pharmaceutical Design of Experiments for Beginners
This document provides information about a case study on the blending process for a pharmaceutical formulation. It includes:
1) Details of the formulation and factors being studied (mixing time, magnesium stearate concentration, and talc concentration) to evaluate blend uniformity.
2) Descriptions of key concepts for experimental design including treatments, experimental units, responses, and interactions.
3) Discussion of blocking as a technique to reduce nuisance factors like different batches of active ingredients being studied.
Design of Experiments
The document discusses design of experiments (DOE) and provides details about:
1) DOE is a process optimization technique that relies on planned experimentation and statistical analysis to study multiple factors and their interactions.
2) Traditional experimentation methods study one factor at a time and ignore interactions, while DOE allows studying multiple factors and interactions using fewer experiments.
3) Steps for DOE include defining objectives, factors, responses, levels, and designing the experiment using full or fractional factorial designs such as orthogonal arrays.
What's hot (20)
Design Of Experiments (DOE) Applied To Pharmaceutical and Analytical QbD.
Design Of Experiments (DOE) Applied To Pharmaceutical and Analytical QbD.
Technology Transfer From R and D to Pilot Plant to Plant for Non-Sterile Semi...
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Introduction to Design of Experiments by Teck Nam Ang (University of Malaya)
Introduction to Design of Experiments by Teck Nam Ang (University of Malaya)
Pharmaceutical Design of Experiments for Beginners
Pharmaceutical Design of Experiments for Beginners
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2003 work climate and organizational effectiveness-the application of data en...
This document discusses using data envelopment analysis (DEA) to measure organizational effectiveness when multiple inputs and outputs are involved. DEA calculates a single efficiency measure for each organization being analyzed without requiring the researcher to assign subjective weightings to inputs and outputs. The document argues that previous research on the relationship between organizational climate and effectiveness has been limited by analyzing multiple separate measures of effectiveness. It suggests that using DEA to generate a single efficiency measure for each organization can help overcome these limitations and provide a more comprehensive analysis of the climate-effectiveness relationship when multiple dimensions of effectiveness are involved. An example application of DEA to measure the relative efficiencies of branch offices in a retail banking network is described.
Location Strategy
The document discusses various location strategy considerations for operations management. It covers factors that affect location decisions such as labor productivity, exchange rates, political risks, and proximity to markets/suppliers. Methods for evaluating location alternatives are described, including the factor-rating method, locational break-even analysis, and center-of-gravity method. Specific location strategies for different industries like hotels, call centers, and how companies use geographic information systems are also summarized.
Practical SustainabilityThreatOpportunityWhy sho.docx
Practical Sustainability
Threat
Opportunity
Why should Businesses care?
ETS
Levies
Trade Barriers
Legislation
Environmental Watchdogs
Spills
Global Warming
Threats
LOHAS
Competitive Advantage
Clean Green NZ
100% Pure
Opportunities
Complexity
Multiple Stakeholders
6
Management Attitude
A system for planning, implementing, reviewing and improving the actions an organization takes to meet its environmental obligations.
Environmental Management System
Practical Guide #1
Be Holistic
Include all aspects of your business in the system
Practical Guide #2
Be Systematic
Break the system into manageable segments
Practical Guide #3
Be Inclusive
Delegate responsibility of each segment to its main stakeholders
Practical Guide #4
Manage Projects
Treat each segment as a project and break it down to manageable objectives
Practical Guide #5
Be Transparent
Communicate to all stakeholders regularly and provide them with access to all the information required
Practical Guide #6
Match International Standards
Work towards and acquire international standards that matter to your industry and customers
Practical Guide #7
Tell everyone
Communicate your programme objectives and your achievements to all your stakeholders
Some Tools
https://www.youtube.com/watch?v=MdZwuR0daso
https://www.youtube.com/watch?v=MdZwuR0daso
https://www.youtube.com/watch?v=cYOC8_jJcII
Step 1: Goal Definition & Scope (ISO 14040)
Step 2: Inventory Analysis (ISO 14041)
Step 3: Impact Assessment (ISO 14042)
Step 4: Improvement Assessment / Interpretation (ISO 14043)
Life Cycle Assessment (LCA)
20
21
Domestic Coffee Maker Example
Source: http://home.howstuffworks.com/coffee-maker.htm
21
22
Step 1: Goal Definition & Scope
Establish purpose & goal
Define decision criteria, function & functional unit
Define system boundaries
Life cycle stages
Time
Place
Determine required data quality
22
23
Step 1: Coffee Maker
Purpose of LCA?
Determine how to improve the environmental performance of a coffee maker
Decision criteria?
Total energy consumed, equivalent CO2 produced, eco-indicator 99 score
Function of coffee maker? Functional units?
Cups of coffee poured, Time coffee is warmed
System boundaries?
Five years of use, Europe, production, use & end-of-life stages
23
24
Difficulties & Limitations of Step 1
How do you compare different products that provide similar functions or services?
How do you compare similar products that provide multiple functions or services?
How do you define more abstract functional units such as entertainment from toys or higher self-esteem?
Where do you stop drawing the bounds to your system?
24
25
Step 2: Inventory Analysis
Make process tree or flow chart classifying events in a product’s life cycle
Determine all mass and energy inputs and outputs
Collect relevant data
Make assumptions for missing data
Establish (correct) material and energy.
Lean & Agile Project Manaagement: Its Leadership Considerations
The document provides an overview of lean and agile project management and its leadership considerations. It begins with introducing the author's background and credentials in agile project management. It then discusses the need for agile project management by highlighting the high failure rates of traditional projects. The rest of the document outlines an agenda for covering topics including an introduction to agile project management, the model of agile project management, the phases of agile project management, scaling agile project management, and metrics for agile project management.
Identifying rebound effects in product-service systems: actors, mechanisms, t...
Paper title: Identifying rebound effects in product-service systems: actors, mechanisms, triggers and drivers
Authors: Daniel Guzzo, Daniela C.A. Pigosso
Abstract:
The implementation of product-service systems (PSS) is prone to the occurrence of rebound effects (RE). This research aims to systematically identify the rebound mechanisms in a PSS context. Through the case study of a use-oriented PSS offer, we showcase a structured way to address RE that led to a comprehensive mapping of 23 mechanisms. The analysis demonstrates an approach to mapping rebound triggers, drivers, and mechanisms within the actors’ realms that designers can apply to ensure the potential sustainability gains of PSS offers.
DESIGN 2024 Conference presentation
Final Poster
This study uses an integrated assessment model to analyze climate policy approaches based on different ethical frameworks like utilitarianism, prioritarianism, and compromise. The model was run under multiple scenarios and the outcomes evaluated based on emissions control, costs, temperature change, and damages. The results showed that prioritarian frameworks led to steadier emissions reductions than Nordhaus or Stern, but all approaches exceeded the 2 degree warming limit. Prioritarianism presented the best balance of outcomes and aligned more with ethical considerations, but relied heavily on how damages were modeled. Further research is needed on prioritarian modeling and statistical analysis of the policy approaches.
ScienceShare.co.uk Shared Resource
This document contains information about an assignment for a Level 2 BTEC First Certificate in Applied Science course. The assignment requires students to:
1) Conduct a practical investigation into the physical properties of copper, glass, and brick and explain how these properties determine their uses.
2) Identify if samples of chemicals are solids, liquids, or gases at room temperature and pressure.
3) Explain why bricks are used for construction, copper wire for electricity, and glass for windows based on their physical properties.
The assignment aims to demonstrate how the physical properties of materials determine their applications. Students must provide evidence that meets criteria on practical investigations and explaining material properties and uses.
Corenet montreal 2_13_08_nanotech_materials
The document discusses how nanotechnology and nanomaterials can be used in sustainable construction. It begins by providing context on nanotechnology and its potential applications in construction materials like steel, concrete, glass, drywall, fabrics, coatings, and insulation. It then discusses a case study of using a sound-dampening nanogel material called ISOPods to provide acoustic privacy in open-plan offices without walls. The document concludes by giving an example of using aerogel, a transparent insulating nanomaterial, for skylight panels and insulation.
2002, Advanced Schedule RiskPresentation Lisbon.ppt
This document outlines an agenda and presentation on advanced project schedule risk analysis. It discusses how Monte Carlo simulation can be used to model schedule risk by assigning probability distributions to activity durations, accounting for risk along sequential paths and at merge points where parallel paths converge. It highlights the "merge bias" effect where having multiple parallel paths can increase overall schedule risk due to the increased likelihood of delay on at least one path. The document provides examples of applying duration probability distributions and simulation to simple schedules to demonstrate these concepts.
2017 GRESB Real Estate Results - Canada
2017 GRESB Real Estate Results presentation for Canada, presented on 5 October in Toronto, hosted by Oxford Properties, with Industry Partners REALPAC and CaGBC, and sponsored by GRESB Global Partner Delos
Slide 36: WSP
Slide 45: Delos
Side 72: Quinn & Partners
Design For Environment: End Life of the Product
The document summarizes Catherine Michelle Rose's PhD thesis from Stanford University on formulating product end-of-life strategies. It discusses her research on design for environment and the hierarchy of end-of-life strategies from reuse to recycling to disposal. The document also explains Philips Consumer Electronics' process for environmental impact analysis of products, which involves life cycle assessment tools to examine impacts across a product's entire lifecycle.
January 15th- IS-ND-MND
This document provides guidance on completing an Initial Study for a proposed project under the California Environmental Quality Act (CEQA). It discusses the purpose and contents of an Initial Study, including the project description, environmental setting, and checklist questions. It also covers the processes for adopting a Negative Declaration or Mitigated Negative Declaration, including public review requirements. Key points include substantiating all conclusions in an Initial Study with substantial evidence, and including adequate mitigation measures in a Mitigated Negative Declaration to reduce impacts to less-than-significant levels.
Readiness of Indian Export Sector and Strategy to deal with Climate Change Po...
Globally there has been an acceptance ( albeit of varying degrees) that human
induced climate change needs to be addressed. In the absence of a global
agreement which is not yet in sight, various countries, regions, and private
companies have taken commitments and are at different levels of implementing
them. Europe has been the leader from a policy point of view followed by some other
countries and states in the USA. There have been unilateral policy initiatives by
private players like Walmart, GE etc. where they are asking for disclosures on
Carbon and other environmental parameters from their suppliers.
The Indian scenario has been one of taking small steps to address climate change mitigation and there are no requirements to report or improve on carbon footprint on
organizations. The Indian export sector which is dependent largely on the western
markets has grown more than 25% annually and is thus the first to be affected by
any climate change related policy initiative by the governments or buyer companies
in the west.
This dissertation studies the current policy initiatives from publicly available data both
in the west and India. As part of the research a survey was conducted using a
questionnaire to assess levels of Awareness, Action taken, perception of Risk and
Opportunity and Market Behaviour. There is a detailed analysis of the data collected
in the survey which points to the fact that a lot needs to be done to remain
competitive in a carbon constrained world order. Based on the analysis there is a
strategy proposed for the Indian export sector to retain their competitive advantage
with regards to the upcoming policy initiatives around climate change.
Res 351Education Specialist / snaptutorial.com
For more classes visit
www.snaptutorial.com
RES 351 Week 1 Discussion Question 1
RES 351 Week 1 Discussion Question 2
RES 351 Week 1 Individual Assignment Current Events in Business Research Paper
RES 351 Week 2 Discussion Question 1
RES 351 Week 2 Discussion Question 2
Factorial design M Pharm 1st Yr.
Mr. Sanket Chordiya presented on optimization techniques like factorial design and fractional factorial design. He introduced key terminology used in design of experiments like factors, levels, responses, effects and interactions. Full factorial design involves studying all possible factors and levels, while fractional factorial design is used when there are many factors to reduce the number of experiments. Software like Design-Expert can be used to design factorial experiments and analyze results. Factorial designs find applications in formulation, processing, and studying pharmacokinetic parameters. A case study on sustained release metformin tablets was presented to illustrate a 23 factorial design.
RISK EVALUATION-1
This document discusses risk evaluation and management in exploration and production projects. It emphasizes the importance of integrated data management, analysis, and visualization in reducing risks. Key aspects of risk include reservoir, trap and hydrocarbon risks, which depend on understanding geological processes. The document outlines the typical workflow in E&P projects, including data collection, mapping, interpretation, modeling, and risk analysis. It argues that integrating tools like seismic inversion, well log analysis, and basin modeling at different stages can help transform data into useful knowledge and reduce project risks.
© Charles T. Diebold, Ph.D., 72313, 101813, 102014. All .docx
© Charles T. Diebold, Ph.D., 7/23/13, 10/18/13, 10/20/14. All Rights Reserved. Page 1 of 12
Odds Ratio Tutorial:
RSCH-8250 Advanced Quantitative Reasoning
Charles T. Diebold, Ph.D.
July 23, 2013 (revised October 20, 2014)
How to cite this document:
Diebold, C. T. (2014, October 20). Odds ratio tutorial: RSCH-8250 advanced quantitative reasoning. Available
from [email protected]
Table of Contents
Assignment and Tutorial Introduction .................................................................................................................... 2
Section 1: SPSS Specification of the Assignment .................................................................................................. 2
Descriptive Statistics ........................................................................................................................................... 3
Binary Logistic Regression ................................................................................................................................. 4
Section 2: Annotated Example SPSS Output, Write Up Guide, and Sample APA Tables .................................... 6
Descriptive Statistics ........................................................................................................................................... 6
Binary Logistic Regression ................................................................................................................................. 7
Relationship between B and Exp(B) ............................................................................................................... 9
Odds Ratios Greater than 1.0 .......................................................................................................................... 9
Common Error: Interpreting Odds Ratio as Risk Ratio (i.e., as Probability) ............................................... 10
Results Write Up Guide ................................................................................................................................ 11
Example APA Table ..................................................................................................................................... 12
© Charles T. Diebold, Ph.D., 7/23/13, 10/18/13, 10/20/14. All Rights Reserved. Page 2 of 12
Odds Ratio Tutorial:
RSCH-8250 Advanced Quantitative Reasoning
Assignment and Tutorial Introduction
This tutorial is intended to assist RSCH-8250 students in completing the Week 8 application assignment. I
recommend that you use this tutorial as your first line of instruction; then, if you have time, view Dr.
Morrow’s video or capitalize on other resources noted in the classroom.
3
rd
edition of Field textbook:
Chapter 8 in the Field textbook, Smart Alex's Task #2 on p. 314 (as modified below).
4
th
edition of Field textbook:
Chapter 19 in the Field textbook, Smart Alex's Task #5 on p. 812 (as .
Identifying research tools for quality publications
The document discusses tools and methods for researchers to identify quality journals for publication, avoid predatory journals, and properly evaluate research impact. It covers identifying good journals using tools like UGC Care, Scimago, and DOAJ. It also discusses how to identify predatory journals and fake impact factors. The document reviews citation analysis methods like the h-index and i10-index and how to calculate journal impact factors. It concludes with information on publication ethics and avoiding plagiarism.
Introduction to DI Engineering Explorer for Oilfield Services
DI Engineering Explorer is a proprietary tool that allows users to visualize completion and production data from over 130,000 wells across 14 states. It saves customers over $800,000 and a year of man-hours by providing well-level analysis and insights. The tool finds correlations between completion techniques and production metrics and identifies the specific materials used in the highest producing wells. It helps users find the most profitable opportunities by understanding what completion strategies are most effective.
Wellbriefing: Creating a building brief that helps clients articulate and pri...
Wellbeing is starting to be recognised as an important metric for citizens, employees and, increasingly, building occupants. Caroline Paradise, head of design research at Atkins, gave a 'Wellbriefing' at Vision 2015 in a seminar on Building Health and Wellness, where she talked about creating a building brief that helps clients articulate and prioritise wellbeing.
This presentation was first delivered in June 2015 at Vision 2015 in London.
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2003 work climate and organizational effectiveness-the application of data en...
2003 work climate and organizational effectiveness-the application of data en...
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Lean & Agile Project Manaagement: Its Leadership Considerations
Lean & Agile Project Manaagement: Its Leadership Considerations
Identifying rebound effects in product-service systems: actors, mechanisms, t...
Identifying rebound effects in product-service systems: actors, mechanisms, t...
2002, Advanced Schedule RiskPresentation Lisbon.ppt
2002, Advanced Schedule RiskPresentation Lisbon.ppt
Readiness of Indian Export Sector and Strategy to deal with Climate Change Po...
Readiness of Indian Export Sector and Strategy to deal with Climate Change Po...
© Charles T. Diebold, Ph.D., 72313, 101813, 102014. All .docx
© Charles T. Diebold, Ph.D., 72313, 101813, 102014. All .docx
Identifying research tools for quality publications
Identifying research tools for quality publications
Introduction to DI Engineering Explorer for Oilfield Services
Introduction to DI Engineering Explorer for Oilfield Services
Wellbriefing: Creating a building brief that helps clients articulate and pri...
Wellbriefing: Creating a building brief that helps clients articulate and pri...
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一比一原版(爱大毕业证书)爱丁堡大学毕业证如何办理
毕业原版【微信:41543339】【(爱大毕业证书)爱丁堡大学毕业证】【微信:41543339】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
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留信网认证的作用:
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2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
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2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
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五：与学校颁发的相关证件1:1纸质尺寸制定（定期向各大院校毕业生购买最新版本毕,业证成绩单保证您拿到的是鲁昂大学内部最新版本毕业证成绩单微信95270640）
A.为什么留学生需要操作留信认证?
留信认证全称全国留学生信息服务网认证,隶属于北京中科院。①留信认证门槛条件更低,费用更美丽,并且包过,完单周期短,效率高②留信认证虽然不能去国企,但是一般的公司都没有问题,因为国内很多公司连基本的留学生学历认证都不了解。这对于留学生来说,这就比自己光拿一个证书更有说服力,因为留学学历可以在留信网站上进行查询!
B.为什么我们提供的毕业证成绩单具有使用价值？
查询留服认证是国内鉴别留学生海外学历的唯一途径但认证只是个体行为不是所有留学生都操作所以没有办理认证的留学生的学历在国内也是查询不到的他们也仅仅只有一张文凭。所以这时候我们提供的和学校颁发的一模一样的毕业证成绩单就有了使用价值。只硕大的蛇皮袋手里拎着长铁钩正站在门口朝黑色的屋内张望不好坏人小偷山娃一怔却也灵机一动立马仰起头双手拢在嘴边朝楼上大喊：“爸爸爸——有人找——那人一听朝山娃尴尬地笑笑悻悻地走了山娃立马“嘭的一声将铁门锁死心却咚咚地乱跳当山娃跟父亲说起这事时父亲很吃惊抚摸着山娃的头说还好醒得及时要不家早被人掏空了到时连电视也没得看啰不过父亲还是夸山娃能临危不乱随机应变有胆有谋山娃笑笑说那都是书上学的看童话和小说时多
DSSML24_tspann_CodelessGenerativeAIPipelines
Codeless Generative AI Pipelines
(GenAI with Milvus)
https://ml.dssconf.pl/user.html#!/lecture/DSSML24-041a/rate
Discover the potential of real-time streaming in the context of GenAI as we delve into the intricacies of Apache NiFi and its capabilities. Learn how this tool can significantly simplify the data engineering workflow for GenAI applications, allowing you to focus on the creative aspects rather than the technical complexities. I will guide you through practical examples and use cases, showing the impact of automation on prompt building. From data ingestion to transformation and delivery, witness how Apache NiFi streamlines the entire pipeline, ensuring a smooth and hassle-free experience.
Timothy Spann
https://www.youtube.com/@FLaNK-Stack
https://medium.com/@tspann
https://www.datainmotion.dev/
milvus, unstructured data, vector database, zilliz, cloud, vectors, python, deep learning, generative ai, genai, nifi, kafka, flink, streaming, iot, edge
一比一原版(牛布毕业证书)牛津布鲁克斯大学毕业证如何办理
毕业原版【微信:41543339】【(牛布毕业证书)牛津布鲁克斯大学毕业证】【微信:41543339】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
The Modern Marketing Reckoner (MMR) is a comprehensive resource packed with POVs from 60+ industry leaders on how AI is transforming the 4 key pillars of marketing – product, place, price and promotions.
一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理
毕业原版【微信:176555708】【(UCSF毕业证书)旧金山分校毕业证】【微信:176555708】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信176555708】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信176555708】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
一比一原版(Harvard毕业证书)哈佛大学毕业证如何办理
毕业原版【微信:41543339】【(Harvard毕业证书)哈佛大学毕业证】【微信:41543339】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
My burning issue is homelessness K.C.M.O.
My burning issue is homelessness in Kansas City, MO
To: Tom Tresser
From: Roger Warren
一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
毕业原版【微信:176555708】【(UCSB毕业证书)圣芭芭拉分校毕业证】【微信:176555708】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信176555708】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信176555708】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
"Join us for STATATHON, a dynamic 2-day event dedicated to exploring statistical knowledge and its real-world applications. From theory to practice, participants engage in intensive learning sessions, workshops, and challenges, fostering a deeper understanding of statistical methodologies and their significance in various fields."
End-to-end pipeline agility - Berlin Buzzwords 2024
We describe how we achieve high change agility in data engineering by eliminating the fear of breaking downstream data pipelines through end-to-end pipeline testing, and by using schema metaprogramming to safely eliminate boilerplate involved in changes that affect whole pipelines.
A quick poll on agility in changing pipelines from end to end indicated a huge span in capabilities. For the question "How long time does it take for all downstream pipelines to be adapted to an upstream change," the median response was 6 months, but some respondents could do it in less than a day. When quantitative data engineering differences between the best and worst are measured, the span is often 100x-1000x, sometimes even more.
A long time ago, we suffered at Spotify from fear of changing pipelines due to not knowing what the impact might be downstream. We made plans for a technical solution to test pipelines end-to-end to mitigate that fear, but the effort failed for cultural reasons. We eventually solved this challenge, but in a different context. In this presentation we will describe how we test full pipelines effectively by manipulating workflow orchestration, which enables us to make changes in pipelines without fear of breaking downstream.
Making schema changes that affect many jobs also involves a lot of toil and boilerplate. Using schema-on-read mitigates some of it, but has drawbacks since it makes it more difficult to detect errors early. We will describe how we have rejected this tradeoff by applying schema metaprogramming, eliminating boilerplate but keeping the protection of static typing, thereby further improving agility to quickly modify data pipelines without fear.
一比一原版(GWU,GW文凭证书)乔治·华盛顿大学毕业证如何办理
毕业原版【微信:176555708】【(GWU,GW毕业证书)乔治·华盛顿大学毕业证】【微信:176555708】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信176555708】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信176555708】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
办(uts毕业证书)悉尼科技大学毕业证学历证书原版一模一样
原版一模一样【微信：741003700 】【(uts毕业证书)悉尼科技大学毕业证学历证书】【微信：741003700 】学位证，留信认证（真实可查，永久存档）offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原海外各大学 Bachelor Diploma degree, Master Degree Diploma
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
06-12-2024-BudapestDataForum-BuildingReal-timePipelineswithFLaNK AIM
06-12-2024-BudapestDataForum-BuildingReal-timePipelineswithFLaNK AIM
by
Timothy Spann
Principal Developer Advocate
https://budapestdata.hu/2024/en/
https://budapestml.hu/2024/en/
tim.spann@zilliz.com
https://www.linkedin.com/in/timothyspann/
https://x.com/paasdev
https://github.com/tspannhw
https://www.youtube.com/@flank-stack
milvus
vector database
gen ai
generative ai
deep learning
machine learning
apache nifi
apache pulsar
apache kafka
apache flink
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
一比一原版(UMN文凭证书)明尼苏达大学毕业证如何办理
毕业原版【微信:176555708】【(UMN毕业证书)明尼苏达大学毕业证】【微信:176555708】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信176555708】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信176555708】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
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Intro to doe harrison
- 2. What is a Designed Experiment? A systematic procedure carried out under controlled conditions in order to discover an unknown effect, to test or establish a hypothesis, or to illustrate a known effect. 7/10/2020 Author: Mark D. Harrison 2
- 3. Why use DOE? Reduce time to design/develop new products and processes Compare Alternatives Identify significant Inputs (Factors) affecting an Output (Response) also known as “Separating the Vital Few from the Trivial Many” Reducing Variability Establish a Minimum, Maximum or Target of a Response Achieve Product and Process Robustness Balancing tradeoffs 7/10/2020 Author: Mark D. Harrison 3
- 4. A Brief History of DOE 1918 – 1940s R. A. Fisher and Co – Workers Used extensively in Agricultural science Factorial Design and ANOVA 1050s to late 1970s 1st Industrial era Box & Wilson, Response Surfaces Chemical and Process Industries 1970s – 1990s 2nd Industrial era Quality improvement initiatives in many industries CQI and TQM became company goals 7/10/2020 Author: Mark D. Harrison 4
- 5. Approaches to Experimentation Trail and Error Change One Separate Factor at a Time (C.O.S.T.) Design of Experiments (DOE) 7/10/2020 Author: Mark D. Harrison 5
- 6. Trail and Error Example 7/10/2020 Author: Mark D. Harrison 6
- 7. C.O.S.T Example 2 Factors Volume of Reaction Chamber pH of the Solution Output / Response Yield 7/10/2020 Author: Mark D. Harrison 7
- 8. Reaction Volume 7/10/2020 Author: Mark D. Harrison 8 You can see the highest yield is about 550 ml Volume incremented in 50ml steps
- 9. pH of Solution 7/10/2020 Author: Mark D. Harrison 9 pH is incremented by .5 units You can see the highest yield is at about a pH of 4.5
- 10. Plot the Data 7/10/2020 Author: Mark D. Harrison 10 Point #10 is what we think is the highest yield
- 11. The Real Process 7/10/2020 Author: Mark D. Harrison 11 Our experiment location is on the edge of the highest yield possible
- 12. What DOE shows us 7/10/2020 Author: Mark D. Harrison 12 Our optimum is not a process optimum Which direction to experiment next
- 13. DOE vs C.O.S.T. Better approach to experimenting DOE suggests # of runs, usually less than C.O.S.T. DOE provides a model for the direction to follow Many factors can be used, not just two Benefits of DOE An organized approach that connects experiments in a rational manner The influence of and interactions between all factors can be estimated More precise information is acquired in fewer experiments Results are evaluated in the light of variability Support for decision-making: map of the system (response contour plot) 7/10/2020 Author: Mark D. Harrison 13
- 14. Components of DOE Factors / Controllable Variables) Variables you can change (Time, Temperature, etc..) Levels Where Factors are set (2 minutes, 100 degrees, etc) Responses Outputs of your process (yield, dimension, weight, etc) 7/10/2020 Author: Mark D. Harrison 14
- 15. The DOE Process Define the Objective Define the Process and select Factors to be studied Select a Response and Measurement system Select an Experimental Design Execute Experiments accurately Check results for any issues Model data Verify predicted results with confirmation experiments to validate model 7/10/2020 Author: Mark D. Harrison 15
- 16. Types of DOE 7/10/2020 Author: Mark D. Harrison 16
- 17. Orthogonality 7/10/2020 Author: Mark D. Harrison 17
- 18. Orthogonality and DOE 7/10/2020 Author: Mark D. Harrison 18
- 19. Doe Example 7/10/2020 Author: Mark D. Harrison 19
- 20. The Minitab Tutorial Purpose Investigate two factors that might decrease the time that is needed to prepare an order for shipment: the order- processing system and the packing procedure. Factors Order Processing System Packing Procedures Levels Current/Proposed A / B Responses Time to prepare order for shipment 7/10/2020 Author: Mark D. Harrison 20
- 21. Select a Design 7/10/2020 Author: Mark D. Harrison 21
- 22. Display Available Designs 7/10/2020 Author: Mark D. Harrison 22
- 23. Complete Design Selection 7/10/2020 Author: Mark D. Harrison 23
- 24. Details of Design 7/10/2020 Author: Mark D. Harrison 24
- 25. Factor and Level Names 7/10/2020 Author: Mark D. Harrison 25
- 26. Randomize and Store Design 7/10/2020 Author: Mark D. Harrison 26
- 27. View the Design 7/10/2020 Author: Mark D. Harrison 27
- 28. Enter Experiment Data 7/10/2020 Author: Mark D. Harrison 28
- 29. Fit the Model 7/10/2020 Author: Mark D. Harrison 29
- 30. Select Model Terms 7/10/2020 Author: Mark D. Harrison 30
- 31. Select Analysis Graphs 7/10/2020 Author: Mark D. Harrison 31
- 32. Factorial Regression 7/10/2020 Author: Mark D. Harrison 32
- 33. Factorial Regression 7/10/2020 Author: Mark D. Harrison 33
- 34. Interpret the Probability Plot 7/10/2020 Author: Mark D. Harrison 34
- 35. Example Effects Plot 7/10/2020 Author: Mark D. Harrison 35 Significant
- 36. Interpret the Pareto Chart 7/10/2020 Author: Mark D. Harrison 36
- 37. Additional Analysis 7/10/2020 Author: Mark D. Harrison 37
- 38. Create Factorial Plots 7/10/2020 Author: Mark D. Harrison 38
- 39. Main Effects Plot 7/10/2020 Author: Mark D. Harrison 39
- 40. Interaction Plot 7/10/2020 Author: Mark D. Harrison 40
- 41. Predict the Response 7/10/2020 Author: Mark D. Harrison 41
- 42. Prediction for Hours 7/10/2020 Author: Mark D. Harrison 42 99% ?
- 43. Save the Project 7/10/2020 Author: Mark D. Harrison 43
- 44. DOE Software Providers Minitab Minitab 18 Data Analysis Minitab Quality Companion Project Management Sas JMP Sas JMP Data Analysis Statgraphics Centurion 18 These companies provide free 30 day trails of their software 7/10/2020 Author: Mark D. Harrison 44
- 45. DOE References One Factor at a Time vs DOE Veronica Czitrom Design of Experiments – Moresteam DOE Upendra Kartik Minitab Blog DOE Umetrics 7/10/2020 Author: Mark D. Harrison 45