The document describes a study on the diffusion of a mathematics innovation among school superintendents in Allegheny County, Pennsylvania in the 1950s. It analyzes the social network of superintendents, who influenced each other's adoption of the new methods. The study finds that opinion leaders played a key role in the diffusion process, using their social relationships to influence contacts over time. Network structure also impacted diffusion, with innovations spreading more easily in dense, connected networks compared to sparse, unconnected ones.
Report on chillers and fire fighting installtionsJohn Vineethkar
The document discusses cleaning and maintenance processes for chillers, air handling units, and ducts. It involves descaling condenser coils using hydrochloric acid to remove scale and rust. It also describes replacing a rusted chiller inlet pipe using oxyacetylene welding and cleaning fins in air handling units. Firefighting installations like butterfly valves and monitors are installed. Hoods are also cleaned by burning off accumulated oil. Load calculations for a chiller are provided using formulas for capacity based on mass flow rate, specific heat, and temperature difference.
Between 2003 and 2008, a Japanese airline increased its number of flights by 34%. The airline's on-time arrival rate was 93%. The airline used a Total Productive Maintenance (TPM) program to improve maintenance operations. TPM helped reduce aircraft downtime and maintenance costs. After implementing TPM, the airline's on-time arrival rate improved to over 97% while maintenance costs decreased by 9.27%.
Between 2003 and 2008, a Japanese airline increased its number of flights by 34%. The airline's on-time arrival rate was 93%. The airline used a Total Productive Maintenance (TPM) program to improve maintenance operations. TPM helped reduce aircraft downtime and maintenance costs. After implementing TPM, the airline's on-time arrival rate improved to over 97% while maintenance costs decreased by 9.27%.
Effective Dashboard Design: Why Your Baby is UglyAaron Hursman
Effective dashboard design delivers on the promise of targeted, accessible, and actionable information for organizations looking to maximize their profits. Through good, bad, and very ugly examples, you will learn about practical design techniques and challenges that dashboard designers face today.
[Presented on SXSW Interactive 2010]
The least squares regression line is:
y = 4.16x - 881.5
(b) Using the regression line, for a house value of £250,000:
y = 4.16x - 881.5
= 4.16(250) - 881.5
= 1040 - 881.5
= £2,158.5
3009/3/10MA Page 6 of 20
QUESTION 2 CONTINUED
(c) The coefficient of determination (R2) measures the proportion of variation in the dependent variable
(annual expenditure on repairs) that is explained by the independent variable (value of house).
The R2
1. The document contains technical specifications and pricing for various building materials including shutters, panels, and coatings. It includes dimensions, weights, prices and website URLs.
2. The specifications are organized in tables with columns for description, size, weight, price and other technical details. Website URLs are listed at the bottom of most pages.
3. The document appears to be a catalog or price list from Thai building material suppliers including information needed for material selection and ordering.
As enterprises and other organizations look to sift through and make sense of the all the structured and unstructured data available to them, dashboards are being positioned as the solution to their problems. However, a dashboard needs special attention to the visual design or the dashboard will fail to meet expectations. If not carefully designed, a new dashboard can leave consumers unsatisfied, frustrated, confused, and even overwhelmed.
Aaron Hursman shares his experiences designing effective dashboards that deliver on the promise of targeted, accessible, and actionable information. He discusses examples from both his personal work and contributions of thought-leaders in this space. Through these examples, he presents practical dashboard design techniques. He also presents effective approaches to take during design and construction. Finally, Aaron explains the challenges and obstacles that dashboard designers face today, and how to mitigate the risks that result.
[Originally presented to RefreshDallas, 16 Oct 2008]
The document is a thesis presentation on online recommendations using matrix factorization. It discusses 3 problems with recommendation systems: the data, the model, and the system. It then presents an algorithm for matrix factorization to predict user ratings and describes how it works to decompose a user-item rating matrix into separate user and item matrices with fewer latent factors. The algorithm aims to minimize the mean squared error between the actual and predicted ratings.
Report on chillers and fire fighting installtionsJohn Vineethkar
The document discusses cleaning and maintenance processes for chillers, air handling units, and ducts. It involves descaling condenser coils using hydrochloric acid to remove scale and rust. It also describes replacing a rusted chiller inlet pipe using oxyacetylene welding and cleaning fins in air handling units. Firefighting installations like butterfly valves and monitors are installed. Hoods are also cleaned by burning off accumulated oil. Load calculations for a chiller are provided using formulas for capacity based on mass flow rate, specific heat, and temperature difference.
Between 2003 and 2008, a Japanese airline increased its number of flights by 34%. The airline's on-time arrival rate was 93%. The airline used a Total Productive Maintenance (TPM) program to improve maintenance operations. TPM helped reduce aircraft downtime and maintenance costs. After implementing TPM, the airline's on-time arrival rate improved to over 97% while maintenance costs decreased by 9.27%.
Between 2003 and 2008, a Japanese airline increased its number of flights by 34%. The airline's on-time arrival rate was 93%. The airline used a Total Productive Maintenance (TPM) program to improve maintenance operations. TPM helped reduce aircraft downtime and maintenance costs. After implementing TPM, the airline's on-time arrival rate improved to over 97% while maintenance costs decreased by 9.27%.
Effective Dashboard Design: Why Your Baby is UglyAaron Hursman
Effective dashboard design delivers on the promise of targeted, accessible, and actionable information for organizations looking to maximize their profits. Through good, bad, and very ugly examples, you will learn about practical design techniques and challenges that dashboard designers face today.
[Presented on SXSW Interactive 2010]
The least squares regression line is:
y = 4.16x - 881.5
(b) Using the regression line, for a house value of £250,000:
y = 4.16x - 881.5
= 4.16(250) - 881.5
= 1040 - 881.5
= £2,158.5
3009/3/10MA Page 6 of 20
QUESTION 2 CONTINUED
(c) The coefficient of determination (R2) measures the proportion of variation in the dependent variable
(annual expenditure on repairs) that is explained by the independent variable (value of house).
The R2
1. The document contains technical specifications and pricing for various building materials including shutters, panels, and coatings. It includes dimensions, weights, prices and website URLs.
2. The specifications are organized in tables with columns for description, size, weight, price and other technical details. Website URLs are listed at the bottom of most pages.
3. The document appears to be a catalog or price list from Thai building material suppliers including information needed for material selection and ordering.
As enterprises and other organizations look to sift through and make sense of the all the structured and unstructured data available to them, dashboards are being positioned as the solution to their problems. However, a dashboard needs special attention to the visual design or the dashboard will fail to meet expectations. If not carefully designed, a new dashboard can leave consumers unsatisfied, frustrated, confused, and even overwhelmed.
Aaron Hursman shares his experiences designing effective dashboards that deliver on the promise of targeted, accessible, and actionable information. He discusses examples from both his personal work and contributions of thought-leaders in this space. Through these examples, he presents practical dashboard design techniques. He also presents effective approaches to take during design and construction. Finally, Aaron explains the challenges and obstacles that dashboard designers face today, and how to mitigate the risks that result.
[Originally presented to RefreshDallas, 16 Oct 2008]
The document is a thesis presentation on online recommendations using matrix factorization. It discusses 3 problems with recommendation systems: the data, the model, and the system. It then presents an algorithm for matrix factorization to predict user ratings and describes how it works to decompose a user-item rating matrix into separate user and item matrices with fewer latent factors. The algorithm aims to minimize the mean squared error between the actual and predicted ratings.
The document discusses accessibility guidelines for captioning live streaming media. It provides guidelines from WCAG 2.0, JIS X8341-3:2010, and ITU-T F.730 for adding captions to live video streams so they are accessible to deaf and hard of hearing users. It also includes diagrams of the broadcasting system used to live stream and add captions to a meeting, including the hardware and software components.
The document describes the ns network simulator. It discusses how ns has evolved from version 1 to version 2, with changes including decomposing complex objects into simpler components, using OTcl as the configuration interface instead of Tcl, and separating the interface code from the main simulator. It also provides information on how to access documentation for ns.
This document contains random characters, numbers, and symbols with no discernible meaning or structure across multiple lines. It does not provide any coherent information that can be summarized.
Saint Francis & Purple Vision NAHF Presentation 24/3/12Purple Vision
This document discusses data analysis and segmentation of supporters for Saint Francis Hospice. It provides information on the hospice's current supporter base, objectives to grow support, and drivers requiring new approaches. Data was pulled from various sources to enable segmentation of supporters by attributes like location, giving history, motivations, and demographics. This revealed 28 distinct segments with varying levels of fit to the hospice's existing supporter profile. Further analysis of penetration rates and potential supporters by location could help optimize future strategies.
Saint Francis & Purple Vision NAHF Presentation 24/3/12Purple Vision
This document discusses data analysis and segmentation of Saint Francis Hospice's supporter database. It provides information on the hospice's current supporter base and identifies opportunities to better segment and profile supporters to enhance relationships, grow the supporter base, and make marketing more effective. Key data points like location, length of support, donation amounts, and demographics are suggested to better understand supporter types and needs.
Alexandre Bergel, Romain Robbes and Walter Binder, Visualizing Dynamic Metrics with Profiling Blueprints, In Proceedings of the 48th International Conference on Objects, Models, Components, Patterns (TOOLS EUROPE'10), July 2010, LNCS Springer Verlag
http://www.bergel.eu/download/papers/Berg10aProfiling.pdf
The document describes the ns network simulator. It provides documentation on the simulator's architecture and key components. The simulator is written in C++ and uses OTcl as a configuration and command interface. It has been improved since version 1, with simpler object decomposition and a separate interface to the OTcl interpreter. The documentation covers the simulator classes and objects, including nodes, packets, scheduling, and routing classification.
Effective Dashboard Design: Why Your Baby Is Ugly (Big Design Conference 2010)Aaron Hursman
[Note: This version was presented at the Big Design Conference on May 29, 2010]
As enterprises and other organizations look to sift through and make sense of the all the structured and unstructured data available to them, dashboards are being positioned as the solution to their problems. However, a dashboard needs special attention to the visual design or the dashboard will fail to meet expectations. If not carefully designed, a new dashboard can leave consumers unsatisfied, frustrated, confused, and even overwhelmed.
Aaron Hursman will share his experiences designing effective dashboards that deliver on the promise of targeted, accessible, and actionable information. He will discuss examples from both his personal work and contributions of thought-leaders in this space. Through these examples, he will present practical dashboard design techniques. He will also present effective approaches to take during design and construction. Finally, Aaron will explain the challenges and obstacles that dashboard designers face today, and how to mitigate the risks that result.
This document describes a finite element analysis project in ANSYS and MATLAB. It includes:
1. Implementing a simply supported beam problem in ANSYS using Q4 elements and extracting the mesh, loads, and constraints for MATLAB.
2. Developing MATLAB code to solve the same problem using linear triangular (T3) elements, reading the ANSYS input files.
3. Modifying the T3 code to implement the Q4 element formulation using 2x2 Gauss quadrature.
4. Prescribing coarse, medium, fine and very fine meshes for each element and comparing deflections and stresses to analytical solutions to study convergence and error.
Traffic Analyzer for GPRS UMTS Networks (TAN)Muhannad Aulama
The document describes a Traffic Analyzer for GPRS UMTS (TAN) network tool. TAN decodes charging data records to create a database for querying and analyzing network traffic and user behavior. It features a fast decoder, database interface, ready queries, query designer, chart viewer, and GUI. TAN provides traffic analysis like volume by hour, APN, cell, and other metrics. It helps uncover user behavior and identifies top users, busy cells, traffic types, and more.
The document describes Metasploit's Meterpreter, which is a payload that provides a full-featured remote shell for post-exploitation tasks. It discusses the technical details of Meterpreter including its protocol specification, defined TLVs (type-length-value structures), packet structure and flow. It also covers the various server and client extensions that Meterpreter provides as well as how to use Meterpreter and its built-in commands.
This document provides an overview and summary of the ns Manual, which documents the Network Simulator ns. It describes ns as being written in C++ and using OTcl as a command and configuration interface. The manual contains documentation on topics like the simulator basics, nodes and packet forwarding, links, queue management, delays, and the differentiated services module. It is intended to help users understand and utilize the various components and capabilities of the ns network simulator.
This document describes a set of slider functions in R for exploratory data analysis. The functions allow users to dynamically modify statistical plots by adjusting slider parameters. Sections provide an overview of the slider functions, examples of them in use, and details on their implementation. Key functions covered include slider.hist for histograms, slider.density for density plots, and slider.brush.pairs for brushing pairs plots. The document discusses how the slider functions are structured and customized for interactive use.
This document is a user's guide for version 1.21 of the cvx modeling tool for convex optimization problems. Cvx allows users to specify convex problems in a simple way and solves them using solvers like SeDuMi and SDPT3. The guide explains what cvx is, how to get started using it, the rules it follows to ensure problems are convex, and how to model different types of convex problems. It also covers advanced topics like semidefinite and geometric programming.
Operational Value at Risk is estimated using an Advanced Measurement Approach involving statistical modeling of operational risk loss data. Loss severity and frequency are each modeled separately using distributions like lognormal or Poisson. Monte Carlo simulation is then used to aggregate the severity and frequency distributions and estimate unexpected losses, expected losses, and the capital at risk needed to sustain operational losses exceeding expectations.
Challenges in VoIP Systems - Mostafa Ahmed Mostafa El Beheiry - First Draft F...Mostafa El-Beheiry
This document is a bachelor's thesis submitted by Mostafa Ahmed Mostafa El Beheiry to the German University in Cairo that examines challenges in VoIP (Voice over IP) systems. The thesis identifies four main categories of challenges - security, quality, dependency, and emergency services. It discusses specific issues within each category such as packet sniffing, bandwidth, power outages, and inability to call emergency services. It also includes a simulation of a SPIT (Spam over IP telephony) attack on a VoIP client/server setup. The thesis aims to comprehensively document challenges in VoIP systems and propose possible solutions to advance the field.
This project aimed to reduce repeater cycles on two winding machines (Machine 7 and 8) at Anant Spinning Mill. Data was collected on factors that influence repeaters like tension breaks, clearer cuts, and splice failures. Issues identified included problems with loop gates, balloon control rings, splice assemblies, and mother boards. Maintenance was performed to address these issues. This led to reductions in average repeater percentages, abnormal drums, and numbers of identified problems over time on both machines. Regular weekly maintenance was concluded to further help reduce repeater cycles.
Tier 2 project the reliability of pcv measurementsSami Costa
This study assessed the reliability of packed cell volume (PCV) measurements between operators. Six individuals measured the PCV of 16 samples over three weeks using microhematocrit tubes. There was a high rate of broken or empty tubes, with 25% of samples fully depleted. The median coefficient of variation between operators was 2.2%, but some samples had variations over 5%, meaning PCV measurements were deemed unreliable according to the study criteria. Limitations included few samples and a short study duration. The study concluded that PCV measurements lacked reliability and suggested alternative hematological assays should be evaluated.
This document provides an overview of data visualization and narrative concepts. It begins by defining visualization and its functions, including using images, diagrams and animations to communicate information clearly and efficiently. It then discusses visualization processes like acquiring, cleaning and filtering data. Different visualization types are explained for relating different types of data. Theories of visualization as visual communication are also covered, looking at how visualization can frame information for observers. Overall, the document presents fundamental concepts, functions, processes and theories of data visualization and narrative.
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The document discusses accessibility guidelines for captioning live streaming media. It provides guidelines from WCAG 2.0, JIS X8341-3:2010, and ITU-T F.730 for adding captions to live video streams so they are accessible to deaf and hard of hearing users. It also includes diagrams of the broadcasting system used to live stream and add captions to a meeting, including the hardware and software components.
The document describes the ns network simulator. It discusses how ns has evolved from version 1 to version 2, with changes including decomposing complex objects into simpler components, using OTcl as the configuration interface instead of Tcl, and separating the interface code from the main simulator. It also provides information on how to access documentation for ns.
This document contains random characters, numbers, and symbols with no discernible meaning or structure across multiple lines. It does not provide any coherent information that can be summarized.
Saint Francis & Purple Vision NAHF Presentation 24/3/12Purple Vision
This document discusses data analysis and segmentation of supporters for Saint Francis Hospice. It provides information on the hospice's current supporter base, objectives to grow support, and drivers requiring new approaches. Data was pulled from various sources to enable segmentation of supporters by attributes like location, giving history, motivations, and demographics. This revealed 28 distinct segments with varying levels of fit to the hospice's existing supporter profile. Further analysis of penetration rates and potential supporters by location could help optimize future strategies.
Saint Francis & Purple Vision NAHF Presentation 24/3/12Purple Vision
This document discusses data analysis and segmentation of Saint Francis Hospice's supporter database. It provides information on the hospice's current supporter base and identifies opportunities to better segment and profile supporters to enhance relationships, grow the supporter base, and make marketing more effective. Key data points like location, length of support, donation amounts, and demographics are suggested to better understand supporter types and needs.
Alexandre Bergel, Romain Robbes and Walter Binder, Visualizing Dynamic Metrics with Profiling Blueprints, In Proceedings of the 48th International Conference on Objects, Models, Components, Patterns (TOOLS EUROPE'10), July 2010, LNCS Springer Verlag
http://www.bergel.eu/download/papers/Berg10aProfiling.pdf
The document describes the ns network simulator. It provides documentation on the simulator's architecture and key components. The simulator is written in C++ and uses OTcl as a configuration and command interface. It has been improved since version 1, with simpler object decomposition and a separate interface to the OTcl interpreter. The documentation covers the simulator classes and objects, including nodes, packets, scheduling, and routing classification.
Effective Dashboard Design: Why Your Baby Is Ugly (Big Design Conference 2010)Aaron Hursman
[Note: This version was presented at the Big Design Conference on May 29, 2010]
As enterprises and other organizations look to sift through and make sense of the all the structured and unstructured data available to them, dashboards are being positioned as the solution to their problems. However, a dashboard needs special attention to the visual design or the dashboard will fail to meet expectations. If not carefully designed, a new dashboard can leave consumers unsatisfied, frustrated, confused, and even overwhelmed.
Aaron Hursman will share his experiences designing effective dashboards that deliver on the promise of targeted, accessible, and actionable information. He will discuss examples from both his personal work and contributions of thought-leaders in this space. Through these examples, he will present practical dashboard design techniques. He will also present effective approaches to take during design and construction. Finally, Aaron will explain the challenges and obstacles that dashboard designers face today, and how to mitigate the risks that result.
This document describes a finite element analysis project in ANSYS and MATLAB. It includes:
1. Implementing a simply supported beam problem in ANSYS using Q4 elements and extracting the mesh, loads, and constraints for MATLAB.
2. Developing MATLAB code to solve the same problem using linear triangular (T3) elements, reading the ANSYS input files.
3. Modifying the T3 code to implement the Q4 element formulation using 2x2 Gauss quadrature.
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The document describes a Traffic Analyzer for GPRS UMTS (TAN) network tool. TAN decodes charging data records to create a database for querying and analyzing network traffic and user behavior. It features a fast decoder, database interface, ready queries, query designer, chart viewer, and GUI. TAN provides traffic analysis like volume by hour, APN, cell, and other metrics. It helps uncover user behavior and identifies top users, busy cells, traffic types, and more.
The document describes Metasploit's Meterpreter, which is a payload that provides a full-featured remote shell for post-exploitation tasks. It discusses the technical details of Meterpreter including its protocol specification, defined TLVs (type-length-value structures), packet structure and flow. It also covers the various server and client extensions that Meterpreter provides as well as how to use Meterpreter and its built-in commands.
This document provides an overview and summary of the ns Manual, which documents the Network Simulator ns. It describes ns as being written in C++ and using OTcl as a command and configuration interface. The manual contains documentation on topics like the simulator basics, nodes and packet forwarding, links, queue management, delays, and the differentiated services module. It is intended to help users understand and utilize the various components and capabilities of the ns network simulator.
This document describes a set of slider functions in R for exploratory data analysis. The functions allow users to dynamically modify statistical plots by adjusting slider parameters. Sections provide an overview of the slider functions, examples of them in use, and details on their implementation. Key functions covered include slider.hist for histograms, slider.density for density plots, and slider.brush.pairs for brushing pairs plots. The document discusses how the slider functions are structured and customized for interactive use.
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Operational Value at Risk is estimated using an Advanced Measurement Approach involving statistical modeling of operational risk loss data. Loss severity and frequency are each modeled separately using distributions like lognormal or Poisson. Monte Carlo simulation is then used to aggregate the severity and frequency distributions and estimate unexpected losses, expected losses, and the capital at risk needed to sustain operational losses exceeding expectations.
Challenges in VoIP Systems - Mostafa Ahmed Mostafa El Beheiry - First Draft F...Mostafa El-Beheiry
This document is a bachelor's thesis submitted by Mostafa Ahmed Mostafa El Beheiry to the German University in Cairo that examines challenges in VoIP (Voice over IP) systems. The thesis identifies four main categories of challenges - security, quality, dependency, and emergency services. It discusses specific issues within each category such as packet sniffing, bandwidth, power outages, and inability to call emergency services. It also includes a simulation of a SPIT (Spam over IP telephony) attack on a VoIP client/server setup. The thesis aims to comprehensively document challenges in VoIP systems and propose possible solutions to advance the field.
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it describes the bony anatomy including the femoral head , acetabulum, labrum . also discusses the capsule , ligaments . muscle that act on the hip joint and the range of motion are outlined. factors affecting hip joint stability and weight transmission through the joint are summarized.
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LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UPRAHUL
This Dissertation explores the particular circumstances of Mirzapur, a region located in the
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environment for investigating the changes in vegetation cover dynamics. Our study utilizes
advanced technologies such as GIS (Geographic Information Systems) and Remote sensing to
analyze the transformations that have taken place over the course of a decade.
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significant role in maintaining the ecological equilibrium of our planet.Land serves as the foundation for all human activities and provides the necessary materials for
these activities. As the most crucial natural resource, its utilization by humans results in different
'Land uses,' which are determined by both human activities and the physical characteristics of the
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The utilization of land is impacted by human needs and environmental factors. In countries
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to significant land degradation, adversely affecting the region's land cover.
Therefore, human intervention has significantly influenced land use patterns over many
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accelerated due to factors such as agriculture and urbanization. Information regarding land use and
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providing crucial environmental data for scientific, resource management, policy purposes, and
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Accurate understanding of land use and cover is imperative for the development planning
of any area. Consequently, a wide range of professionals, including earth system scientists, land
and water managers, and urban planners, are interested in obtaining data on land use and cover
changes, conversion trends, and other related patterns. The spatial dimensions of land use and
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these patterns indicate shifts in economic and social conditions. Monitoring such changes with the
help of Advanced technologies like Remote Sensing and Geographic Information Systems is
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Remote Sensing and Geographic Information Systems
9
Changes in vegetation cover refer to variations in the distribution, composition, and overall
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Walmart Business+ and Spark Good for Nonprofits.pdfTechSoup
"Learn about all the ways Walmart supports nonprofit organizations.
You will hear from Liz Willett, the Head of Nonprofits, and hear about what Walmart is doing to help nonprofits, including Walmart Business and Spark Good. Walmart Business+ is a new offer for nonprofits that offers discounts and also streamlines nonprofits order and expense tracking, saving time and money.
The webinar may also give some examples on how nonprofits can best leverage Walmart Business+.
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How to Setup Warehouse & Location in Odoo 17 InventoryCeline George
In this slide, we'll explore how to set up warehouses and locations in Odoo 17 Inventory. This will help us manage our stock effectively, track inventory levels, and streamline warehouse operations.
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
This presentation was provided by Steph Pollock of The American Psychological Association’s Journals Program, and Damita Snow, of The American Society of Civil Engineers (ASCE), for the initial session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session One: 'Setting Expectations: a DEIA Primer,' was held June 6, 2024.
How to Fix the Import Error in the Odoo 17Celine George
An import error occurs when a program fails to import a module or library, disrupting its execution. In languages like Python, this issue arises when the specified module cannot be found or accessed, hindering the program's functionality. Resolving import errors is crucial for maintaining smooth software operation and uninterrupted development processes.
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2. The characteristics of Diffusion
Diffusion is a special case of brokerage
Time dimension
Relationships as channel
The combination of structural positions &
adoption time
3. Empirical data
Innovations of new mathematics method in
1950, Allegheny County, Pennsylvania, U.S.A.
School superintendents as gatekeepers
Nomination method: ask the respondents to
indicate their three best friends
The social network is named modern math
network
9. Two-step flow model
First phase: Mass media inform and influence
opinion leaders
Second phase: opinion leaders influence
potential adopters
Diffusion of innovations
Opinion leaders use social relations to
influence their contacts
Advice and friendship relations
10.
11. Personal characteristics
The type of innovations
Perceived risk of innovations
Network structure:
In a dense network an innovation spreads more easily and
faster than in a sparse network,
In an unconnected network diffusion will be slower and less
comprehensive than in a connected network,
In a bi-component diffusion will be faster than in components
with cut-points or bridges,
The larger the neighborhood of a person within the
network, the earlier s/he will adopt an innovation,
A central position is likely to lead to early adoption,
Diffusion from a central vertex is faster than from a vertex in
the margins of the network.
13. Create a random network
Net> Random Network> Vertices Output
Degree
Out-degree 1 or 2
No multiple lines
Pick a vertex as the source of diffusion
process
Assume a vertex will adopt at the first time
point after it has established direct contact
with an adopter
14. diffusion curve of random network
40
38
35 35
Adoption number
30 new
25 cummulative 25
20
15 15
10
10 4 10
5 1 6
3 3
0 1
1 2 3 4 5 6
year
15. Everyone is unequally susceptible to contagion
Two approaches to evaluate innovativeness:
Adoption categories
Classify people by their adoption time: Innovators, early
adopters, early majority, late adopters, laggards.
It’s useful to identify the social and demographic characteristics
Threshold categories:
The threshold is his or her exposure at the time of adoption
The exposure of a vertex in a network at a particular moment is
the proportion of its neighbors who have adopted before that
time
Some people are easily persuaded (more susceptible) than others
However, individual thresholds are computed after the fact, which
is a hindsight and not informative. They should be validated by
other indicators of innovativeness.
16. We first choose time 2 (1959), and calculate the exposure at the time 2.
And then, calculate time 3, time4, time 5, time6
21. Because we defined exposure as the
percentage of neighbors who have adopted.
Vectors> First vector
Net> Partitions> Degree
There aren’t the
Partition> Make vector (do not normalize) submenus of first
Vectors> Second vector vector and second
Vectors> Divide First by Second vector in
Options> Read/Write>0/0 PAJEK125 !!!!!!!
31. Threshold=in-degree/ all-degree
in-degree is the in-degree of network which is directed
and having no multiple lines and no lines within classes
all-degree is the all-degree of network which is undirected
and having n0 multiple lines
Because the original network is undirected and having no
multiple lines, so we can calculate all-degree directly.
To obtain the in-degree, we should re-read original
network and change it into directed one which has no lines
within classes first, and then we can calculate in-degree
directly.
Using the submenu “divide first by second” in the menu of
“Vectors”, we can get the threshold.
Draw the vectors, and “mark vertices using” “vector
values”.
32. Record macro
Read project
Draw partition
Net> partitions > Degree> ALL
Vectors> Second vectors
Read project
Operations> Transform> Direction
Net> partitions > Degree> Input
Vectors> First vectors
Vectors> Divide First by Second
Draw> Draw-vector
Record macro
33. NETBEGIN 1
CLUBEGIN 1
PERBEGIN 1
CLSBEGIN 1
HIEBEGIN 1
VECBEGIN 1
Msg Reading Pajek Project File --- E:lingfei wupajek125ESNAdataChapter8ModMath.paj
Msg Reading Network --- ModMath_directed.net
Msg Reading Network --- ModMath.net
Msg Reading Partition --- ModMath_adoption.clu
N 9999 RDPAJ ?
N 2 LAYERSNX 2 1
Msg Optimizing total length of lines ...
Msg All degree centrality of 2. ModMath.net (38)
C 2 DEGC 2 [2] (38)
N 3 ETOAINC 2 1 1 DEL (38)
Msg Input degree centrality of 3. Directed Network [INC DEL] of N2 according to C1 (38)
C 3 DEGC 3 [0] (38)
V 3 DIVV 2 1 (38)
36. A threshold lag is a period in which an actor
does not adopt although he or she is exposed
at the level at which he or she will adopt later.
The critical mass of a diffusion process is the
minimum number of adopters needed to
sustain a diffusion process.
V28 and V29 undergoes a threshold
lag, respectively (we can tell that from the pic
of thresholds).