Based on system dynamics theory, this study used Vensim software to develop the Stock-Flow Diagram.
This study used the Dynamic Situations of system dynamics to perform dynamic simulation on the effect of
sports promotion strategy on Taiwan’s national health care and its relevant medical expenditure and future
expenditure. Moreover, this study used the simulation results as reference for strategy promotion, which
can make it easier to promote strategies, reduce the pressure of increase in national health insurance and
increase the success rate of policy implementation. The research results showed that, situational simulation
of system dynamics can simulate the effect of development trend of effectiveness of Taiwan’s national
health care on the changes in complicated policy promotion system with time. The results of the simulation
of policy situation showed that, it is necessary to adopt medium policy promotion and implementation rate
of 55% and national physical fitness increase rate of 5% as the best strategy implementation rate in the
future two years to obtain the greatest benefit.
Physical activity prediction using fitness data: Challenges and issuesjournalBEEI
In the new healthcare transformations, individuals are encourage to maintain healthy life based on their food diet and physical activity routine to avoid risk of serious disease. One of the recent healthcare technologies to support self health monitoring is wearable device that allow individual play active role on their own healthcare. However, there is still questions in terms of the accuracy of wearable data for recommending physical activity due to enormous fitness data generated by wearable devices. In this study, we conducted a literature review on machine learning techniques to predict suitable physical activities based on personal context and fitness data. We categorize and structure the research evidence that has been publish in the area of machine learning techniques for predicting physical activities using fitness data. We found 10 different models in behavior change technique (BCT) and we selected two suitable models which are fogg behavior model (FBM) and trans-theoretical behavior model (TTM) for predicting physical activity using fitness data. We proposed a conceptual framework which consists of personal fitness data, combination of TTM and FBM to predict the suitable physical activity based on personal context. This study will provide new insights in software development of healthcare technologies to support personalization of individuals in managing their own health.
Minimizing the Impact of Forecast Error on Government Monetary and Fiscal Pol...Editor IJCATR
Forecasting is an important part of governments’ monetary and fiscal policies. Every forward-looking government uses economic forecasting as a necessary prerequisite for the success of its monetary and fiscal policies. Though economic forecasts are necessary, as they are essential underlying features of governments’ monetary and fiscal policies, economic forecasting is a difficult task. The difficulty in economic forecasting arises from the interplay of variables which certainly produces forecast errors. This study focused on minimizing the impact of forecast error on government monetary and fiscal policies through the use of suitable forecasting software. Hence in this study, forecasting software are examined as necessary tools for minimizing the impact of forecast errors on governments’ monetary and fiscal policies. Data is collected from both primary and secondary sources to elicit useful information from stakeholders in Forecasting Industry. The result of the study shows that there is a positive relationship between the use of forecasting software and minimizing the impact of forecast error on governments’ monetary and fiscal policies. The study revealed that the use of sound software, devoid of mathematical errors and inappropriate methods, will minimize the impact of forecast error on governments’ monetary and fiscal policies. The study also revealed that the major way to ensure an effective forecasting process and reduce forecast errors is to make use of intelligent forecast software that raises forecast accuracy.
Physical activity prediction using fitness data: Challenges and issuesjournalBEEI
In the new healthcare transformations, individuals are encourage to maintain healthy life based on their food diet and physical activity routine to avoid risk of serious disease. One of the recent healthcare technologies to support self health monitoring is wearable device that allow individual play active role on their own healthcare. However, there is still questions in terms of the accuracy of wearable data for recommending physical activity due to enormous fitness data generated by wearable devices. In this study, we conducted a literature review on machine learning techniques to predict suitable physical activities based on personal context and fitness data. We categorize and structure the research evidence that has been publish in the area of machine learning techniques for predicting physical activities using fitness data. We found 10 different models in behavior change technique (BCT) and we selected two suitable models which are fogg behavior model (FBM) and trans-theoretical behavior model (TTM) for predicting physical activity using fitness data. We proposed a conceptual framework which consists of personal fitness data, combination of TTM and FBM to predict the suitable physical activity based on personal context. This study will provide new insights in software development of healthcare technologies to support personalization of individuals in managing their own health.
Minimizing the Impact of Forecast Error on Government Monetary and Fiscal Pol...Editor IJCATR
Forecasting is an important part of governments’ monetary and fiscal policies. Every forward-looking government uses economic forecasting as a necessary prerequisite for the success of its monetary and fiscal policies. Though economic forecasts are necessary, as they are essential underlying features of governments’ monetary and fiscal policies, economic forecasting is a difficult task. The difficulty in economic forecasting arises from the interplay of variables which certainly produces forecast errors. This study focused on minimizing the impact of forecast error on government monetary and fiscal policies through the use of suitable forecasting software. Hence in this study, forecasting software are examined as necessary tools for minimizing the impact of forecast errors on governments’ monetary and fiscal policies. Data is collected from both primary and secondary sources to elicit useful information from stakeholders in Forecasting Industry. The result of the study shows that there is a positive relationship between the use of forecasting software and minimizing the impact of forecast error on governments’ monetary and fiscal policies. The study revealed that the use of sound software, devoid of mathematical errors and inappropriate methods, will minimize the impact of forecast error on governments’ monetary and fiscal policies. The study also revealed that the major way to ensure an effective forecasting process and reduce forecast errors is to make use of intelligent forecast software that raises forecast accuracy.
This is a small presentation on my project , diabetes prediction using R language.The method used is knn(K nearest neighbour). it the basic Machine learning algorithm.
Artificial intelligence (AI) is a fast-growing field and its applications to diabetes, a global pandemic, can reform the approach to diagnosis and management of this chronic condition. Principles of machine learning have been used to build algorithms to support predictive models for the risk of developing diabetes or its consequent complications. Digital therapeutics have proven to be an established intervention for lifestyle therapy in the management of diabetes. Patients are increasingly being empowered for self-management of diabetes, and both patients and health care professionals are benefitting from clinical decision support. AI allows a continuous and burden-free remote monitoring of the patient's symptoms and biomarkers. Further, social media and online communities enhance patient engagement in diabetes care. Technical advances have helped to optimize resource use in diabetes. Together, these intelligent technical reforms have produced better glycemic control with reductions in fasting and postprandial glucose levels, glucose excursions, and glycosylated hemoglobin. AI will introduce a paradigm shift in diabetes care from conventional management strategies to building targeted data-driven precision care.
Putting into consideration most of the dynamics of Water production costs, the SD approach is used in determining the Unit cost of water production. It is hoped that the model will assist Water Companies, Water Supply Agencies and Board to price water in an economic manner.
Cost-Benefit Analysis and Simulation of a Greek E-Shop expanding in the BalkansAntonis Ventouris
A research about the potential of a Greek E-shop expanding its operations to Bulgaria. The research uses Vensim dynamic simulation and Net Present Value analysis to estimate the results.
Running Head INITIAL PROPOSAL1INITIAL PROPOSAL6.docxcowinhelen
Running Head: INITIAL PROPOSAL 1
INITIAL PROPOSAL 6
Initial proposal
Joe-Anne McCormick
MHA 616 Health Care Management Information Systems
Dr. Mohammad Bajwa
March 22, 2017
Planning
Project Porposal/Problem statement
Studies have proved that life expectancy in the United States fares poorly at the international level (Oeppen & Vaupel, 2012). That does not mean that the country is not doing enough to improve the quality of healthcare in the country. In 2007, the United States government spent 16% of its GDP on healthcare an amount that was inherently higher compared to that of any other country (Preston & Ho, 2009). Hence, it is not the healthcare system that is inefficient. Instead, the problem is that there are a number of behavioral factors that are associated with the citizens that have contributed to the high mortality rate in the country (Preston & Ho, 2009).
SMART Objectives
1. The United States healthcare stakeholders will launch public sensitization practice about cancer resulting in 300,000 estimated cancer deaths from 595,690 by 2021.
2. Healthcare institutions will use quality improvement approaches resulting in 50% reduction in the rate of hospital readmissions by 2023.
3. Healthcare stakeholders will sensitize the United States citizens about the effects of smoking resulting in less than 12% adult smoking rate from 16.8% by 2020.
4. The media and other healthcare stakeholders will educate the members of the public about the importance of taking part in exercise activities resulting in 51% obese adults from 68.8% by 2021.
5. The media and other healthcare stakeholders will educate the members of the public about the importance of taking part in exercise activities resulting in 250,000 heart disease deaths from 375,00 by 2023.
Team members
The success of the project will require the contribution of the healthcare staff, teachers, other students, the community educators and the media.
Background
Evidence about the state of healthcare in the United States and the rate of mortality can be found in peer reviewed articles, books, magazines and internet sources. Hence, the sources will be used to set up the procedures and overall planning for the project.
Current/ideal state
The current rate of mortality in the United States fares poorly at the international level. In retrospect to that, the United States is also the highest spender in the sector of healthcare. The country spent $3.2 trillion on healthcare in 2016 implying that the core contributing factor to the high mortality rate in the country is not entirely tied down to the healthcare system but rather on the behavior and lifestyles of the people. Therefore, improvement is required because with the current trend in lifestyle, failing to take actions will worsen the state of mortality in the future. The current healthcare system does not redirect a lot of focus on public participation. For instance, only 12% of the United States adults have proficie ...
A Framework for Healthcare and Public Health Collaboration: The Population He...Practical Playbook
The Practical Playbook
National Meeting 2016
www.practicalplaybook.org
Bringing Public Health and Primary Care Together: The Practical Playbook National Meeting was at the Hyatt Regency in Bethesda, MD, May 22 - 24, 2016. The meeting was a milestone event towards advancing robust collaborations that improve population health. Key stakeholders from across sectors – representing professional associations, community organizations, government agencies and academic institutions – and across the country came together at the National Meeting to help catalyze a national movement, accelerate collaborations by fostering skill development, and connect with like-minded individuals and organizations to facilitate the exchange of ideas to drive population health improvement.
The National Meeting was also a significant source of tools and resources to advance collaboration. These tools and resources are available below and include:
Session presentations and materials
Poster session content
Photos from the National Meeting
The conversation started at the National Meeting is continuing in a LinkedIn Group "Working Together for Population Health" and Twitter. Use #PPBMeeting to provide feedback on the National Meeting.
The Practical Playbook was developed by the de Beaumont Foundation, the Duke University School of Medicine Department of Community and Family Medicine, the Centers for Disease Control and Prevention (CDC), and the Health Resources & Services Administration (HRSA).
This is a small presentation on my project , diabetes prediction using R language.The method used is knn(K nearest neighbour). it the basic Machine learning algorithm.
Artificial intelligence (AI) is a fast-growing field and its applications to diabetes, a global pandemic, can reform the approach to diagnosis and management of this chronic condition. Principles of machine learning have been used to build algorithms to support predictive models for the risk of developing diabetes or its consequent complications. Digital therapeutics have proven to be an established intervention for lifestyle therapy in the management of diabetes. Patients are increasingly being empowered for self-management of diabetes, and both patients and health care professionals are benefitting from clinical decision support. AI allows a continuous and burden-free remote monitoring of the patient's symptoms and biomarkers. Further, social media and online communities enhance patient engagement in diabetes care. Technical advances have helped to optimize resource use in diabetes. Together, these intelligent technical reforms have produced better glycemic control with reductions in fasting and postprandial glucose levels, glucose excursions, and glycosylated hemoglobin. AI will introduce a paradigm shift in diabetes care from conventional management strategies to building targeted data-driven precision care.
Putting into consideration most of the dynamics of Water production costs, the SD approach is used in determining the Unit cost of water production. It is hoped that the model will assist Water Companies, Water Supply Agencies and Board to price water in an economic manner.
Cost-Benefit Analysis and Simulation of a Greek E-Shop expanding in the BalkansAntonis Ventouris
A research about the potential of a Greek E-shop expanding its operations to Bulgaria. The research uses Vensim dynamic simulation and Net Present Value analysis to estimate the results.
Running Head INITIAL PROPOSAL1INITIAL PROPOSAL6.docxcowinhelen
Running Head: INITIAL PROPOSAL 1
INITIAL PROPOSAL 6
Initial proposal
Joe-Anne McCormick
MHA 616 Health Care Management Information Systems
Dr. Mohammad Bajwa
March 22, 2017
Planning
Project Porposal/Problem statement
Studies have proved that life expectancy in the United States fares poorly at the international level (Oeppen & Vaupel, 2012). That does not mean that the country is not doing enough to improve the quality of healthcare in the country. In 2007, the United States government spent 16% of its GDP on healthcare an amount that was inherently higher compared to that of any other country (Preston & Ho, 2009). Hence, it is not the healthcare system that is inefficient. Instead, the problem is that there are a number of behavioral factors that are associated with the citizens that have contributed to the high mortality rate in the country (Preston & Ho, 2009).
SMART Objectives
1. The United States healthcare stakeholders will launch public sensitization practice about cancer resulting in 300,000 estimated cancer deaths from 595,690 by 2021.
2. Healthcare institutions will use quality improvement approaches resulting in 50% reduction in the rate of hospital readmissions by 2023.
3. Healthcare stakeholders will sensitize the United States citizens about the effects of smoking resulting in less than 12% adult smoking rate from 16.8% by 2020.
4. The media and other healthcare stakeholders will educate the members of the public about the importance of taking part in exercise activities resulting in 51% obese adults from 68.8% by 2021.
5. The media and other healthcare stakeholders will educate the members of the public about the importance of taking part in exercise activities resulting in 250,000 heart disease deaths from 375,00 by 2023.
Team members
The success of the project will require the contribution of the healthcare staff, teachers, other students, the community educators and the media.
Background
Evidence about the state of healthcare in the United States and the rate of mortality can be found in peer reviewed articles, books, magazines and internet sources. Hence, the sources will be used to set up the procedures and overall planning for the project.
Current/ideal state
The current rate of mortality in the United States fares poorly at the international level. In retrospect to that, the United States is also the highest spender in the sector of healthcare. The country spent $3.2 trillion on healthcare in 2016 implying that the core contributing factor to the high mortality rate in the country is not entirely tied down to the healthcare system but rather on the behavior and lifestyles of the people. Therefore, improvement is required because with the current trend in lifestyle, failing to take actions will worsen the state of mortality in the future. The current healthcare system does not redirect a lot of focus on public participation. For instance, only 12% of the United States adults have proficie ...
A Framework for Healthcare and Public Health Collaboration: The Population He...Practical Playbook
The Practical Playbook
National Meeting 2016
www.practicalplaybook.org
Bringing Public Health and Primary Care Together: The Practical Playbook National Meeting was at the Hyatt Regency in Bethesda, MD, May 22 - 24, 2016. The meeting was a milestone event towards advancing robust collaborations that improve population health. Key stakeholders from across sectors – representing professional associations, community organizations, government agencies and academic institutions – and across the country came together at the National Meeting to help catalyze a national movement, accelerate collaborations by fostering skill development, and connect with like-minded individuals and organizations to facilitate the exchange of ideas to drive population health improvement.
The National Meeting was also a significant source of tools and resources to advance collaboration. These tools and resources are available below and include:
Session presentations and materials
Poster session content
Photos from the National Meeting
The conversation started at the National Meeting is continuing in a LinkedIn Group "Working Together for Population Health" and Twitter. Use #PPBMeeting to provide feedback on the National Meeting.
The Practical Playbook was developed by the de Beaumont Foundation, the Duke University School of Medicine Department of Community and Family Medicine, the Centers for Disease Control and Prevention (CDC), and the Health Resources & Services Administration (HRSA).
Socioeconomic drivers of injury compensation claims in NZJohn Wren
This presents the results of early work on the socio-economic drivers of injury compensation claims in NZ. The PPT presents explanatory models of the drivers of claims using a causal loop model, statistical evidence, and discusses the results in the international context. The implications of the analysis for injury prevention and claims management are discussed.
HCM 3305, Community Health 1 Course Learning Outcom.docxaryan532920
HCM 3305, Community Health 1
Course Learning Outcomes for Unit VIII
Upon completion of this unit, students should be able to:
3. Recognize effective organization and promotion of health programming for community health on a
global scale.
3.1. Assess the steps for organizing a community health program.
3.2. Identify steps needed to effectively evaluate the community health program.
Reading Assignment
Chapter 15:
Systems Thinking and Leadership in Community and Public Health
Unit Lesson
In this unit, we will discuss systems thinking and community health programming.
Community organizing is a process that involves the engagement of individuals, groups, and organizations.
Program planning is not required in community organizing; however, it is often times used. Program planning
is a process where a health intervention is planned to meet the needs within a population. Antiviolence
campaigns and stress management courses are examples of program planning (McKenzie, Pinger, & Kotecki,
2012).
When deciding which community health interventions to create, the Centers for Disease Control and
Prevention (CDC) uses Guide to Community Preventive Services (Community Guide). The Community Guide
is considered credible because it is based off the scientific systematic review process. The guide answers
many questions that are critical to community health on subjects such as
interventions that have worked/did not work,
populations in which the intervention worked/did not work,
cost of the intervention,
benefits/risks of the intervention, and
future research recommendations (Centers for Disease Control and Prevention, 2015).
Community health programs are intricate and are a key factor in disease prevention, improving health, and
increasing quality of life. Health status and behaviors are determined by personal, environmental, policy, and
organizational influences. Community health programming is targeted at reaching the goals of Healthy People
2010. Community health programs are generally held within healthcare settings; however, other settings are
becoming more popular. Programs are being held at schools, worksites, religious organizations, and within
communities (Healthy People 2020, 2015). There are instances where healthcare organizations are
collaborating with schools to offer health programs. For instance, nutrition and exercise programs are being
offered at an increased rate. Employers see the value of employee health. Therefore, many employers offer
incentives to employees who take part in employee wellness programs. It is not far fetched to hear about
employers checking cholesterol, blood pressure, quality of life, weight, BMI, and sometimes glucose. The
rationale is that healthy employees are less likely to call in sick with health-related conditions.
Community health professionals must identify their health issue, and then create specific and measurable
goals and objectives. ...
How to Improve Healthcare Reporting Management System.pptxFlutter Agency
Here in this article, you will see the tips about the healthcare reporting management system. Read these top 8 tips to improve the Healthcare Reporting Management System.
Chapter 4 Information Systems to Support Population Health Managem.docxketurahhazelhurst
Chapter 4 Information Systems to Support Population Health Management Learning Objectives To be able to understand the data and information needs of health systems in managing population health effectively under value-based payment models. To be able to discuss key health IT tools and strategies for population health management including EHRs, registries, risk stratification, patient engagement, and outreach, care coordination and management, analytics, health information exchange, and telemedicine and telehealth. To be able to discuss the application and use of data analytics to monitor, predict, and improve performance. The enactment of the Affordable Care Act (ACA) brought about sweeping legislation intended to reduce the numbers of uninsured and make health care accessible to all Americans. It also ushered in an era in which changing reimbursement and care delivery models are driving providers from the current fragmented system focused on volume-based services to an outcomes orientation. As a result, the health care system now taking shape is one in which value-based payment models financially reward patient-centered, coordinated, accountable care. Against this backdrop, providers' increasing use of evidence-based medicine and growing capabilities in managing volumes of clinical evidence through sophisticated health IT systems will mean that treatments can be tailored for the individual and interventions can be made earlier to keep patients well. Furthermore, patient engagement is fast becoming a critical component in the care process, particularly in the area of population health management (PHM). Health care providers' interest in improving population health appears to be increasing because of the sudden ubiquity of the phrase, because many are participating in accountable care organizations (ACOs), and because even hospitals not participating in an ACO increasingly have incentives to reduce their number of potentially unavoidable admissions, readmissions, and emergency department visits (Casalino, Erb, Joshi, & Shortell, 2015). In this chapter we'll not only seek a common understanding of PHM but also explore how the advent of shared accountability financial arrangements between providers and purchasers of care has created significant focus on PHM. We'll also review the core processes associated with accountable care and examine the strategic IT investments and data management capabilities required to support population health management and enable a successful transition from volume-based to value-based care. PHM: Key to Success Although the ACO model is still new and evolving, approximately 750 ACOs are in operation today, covering some 23.5 million lives under Medicare, Medicaid, and private insurers. Although not all ACOs have demonstrated success in delivering better health outcomes at a lower cost, many have achieved promising results (Houston & McGinnis, 2016). As such, significant ACO growth is expected. In fact, it is predicte ...
Lessons from pfm in the health sector finalHFG Project
Over the past five years, the Health Finance and Governance (HFG) project has supported over 35 countries and programs in their efforts to strengthen public financial management (PFM) systems. Activities have been tailored to address key priorities within a health system context, and have ranged from improving financial data systems to conducting costing exercises, financial analyses, and capacity-building workshops. Across these activities, several lessons have emerged.
Insights in this brief stem from analysis of over 200 HFG financing activities; interviews with stakeholders from Ukraine and Vietnam; and experience from cross-cutting program activities. These lessons are shared as a resource for fellow implementing partners, country practitioners, and donor agencies. As the project ends, this brief considers the global context and established frameworks for PFM alongside the contributions of the HFG experience, and suggests a way forward.
Interpreting Group Differences of Relations among Success Factors for Wearabl...Dr. Mustafa Değerli
Değerli, M. and Özkan-Yıldırım, S. (2020). Interpreting Group Differences of Relations among Success Factors for Wearable Medical Devices. 5th International Conference on Computer Science and Engineering. 10.1109/UBMK50275.2020.9219367 - https://ieeexplore.ieee.org/xpl/conhome/9212329/proceeding
Welocme to ViralQR, your best QR code generator.ViralQR
Welcome to ViralQR, your best QR code generator available on the market!
At ViralQR, we design static and dynamic QR codes. Our mission is to make business operations easier and customer engagement more powerful through the use of QR technology. Be it a small-scale business or a huge enterprise, our easy-to-use platform provides multiple choices that can be tailored according to your company's branding and marketing strategies.
Our Vision
We are here to make the process of creating QR codes easy and smooth, thus enhancing customer interaction and making business more fluid. We very strongly believe in the ability of QR codes to change the world for businesses in their interaction with customers and are set on making that technology accessible and usable far and wide.
Our Achievements
Ever since its inception, we have successfully served many clients by offering QR codes in their marketing, service delivery, and collection of feedback across various industries. Our platform has been recognized for its ease of use and amazing features, which helped a business to make QR codes.
Our Services
At ViralQR, here is a comprehensive suite of services that caters to your very needs:
Static QR Codes: Create free static QR codes. These QR codes are able to store significant information such as URLs, vCards, plain text, emails and SMS, Wi-Fi credentials, and Bitcoin addresses.
Dynamic QR codes: These also have all the advanced features but are subscription-based. They can directly link to PDF files, images, micro-landing pages, social accounts, review forms, business pages, and applications. In addition, they can be branded with CTAs, frames, patterns, colors, and logos to enhance your branding.
Pricing and Packages
Additionally, there is a 14-day free offer to ViralQR, which is an exceptional opportunity for new users to take a feel of this platform. One can easily subscribe from there and experience the full dynamic of using QR codes. The subscription plans are not only meant for business; they are priced very flexibly so that literally every business could afford to benefit from our service.
Why choose us?
ViralQR will provide services for marketing, advertising, catering, retail, and the like. The QR codes can be posted on fliers, packaging, merchandise, and banners, as well as to substitute for cash and cards in a restaurant or coffee shop. With QR codes integrated into your business, improve customer engagement and streamline operations.
Comprehensive Analytics
Subscribers of ViralQR receive detailed analytics and tracking tools in light of having a view of the core values of QR code performance. Our analytics dashboard shows aggregate views and unique views, as well as detailed information about each impression, including time, device, browser, and estimated location by city and country.
So, thank you for choosing ViralQR; we have an offer of nothing but the best in terms of QR code services to meet business diversity!
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
The Art of the Pitch: WordPress Relationships and Sales
A study on the dynamic effect of sports promotion strategy and effectiveness of national health care in taiwan
1. International Journal of Computer Science & Information Technology (IJCSIT) Vol 6, No 1, February 2014
DOI : 10.5121/ijcsit.2014.6109 125
A Study on the Dynamic Effect of Sports
Promotion Strategy and Effectiveness of National
Health Care in Taiwan
Tian-Syung Lan and Pin-Chang Chen
Department of Information Management, Yu Da University of Science and Technology,
Miaoli, Taiwan
ABSTRACT
Based on system dynamics theory, this study used Vensim software to develop the Stock-Flow Diagram.
This study used the Dynamic Situations of system dynamics to perform dynamic simulation on the effect of
sports promotion strategy on Taiwan’s national health care and its relevant medical expenditure and future
expenditure. Moreover, this study used the simulation results as reference for strategy promotion, which
can make it easier to promote strategies, reduce the pressure of increase in national health insurance and
increase the success rate of policy implementation. The research results showed that, situational simulation
of system dynamics can simulate the effect of development trend of effectiveness of Taiwan’s national
health care on the changes in complicated policy promotion system with time. The results of the simulation
of policy situation showed that, it is necessary to adopt medium policy promotion and implementation rate
of 55% and national physical fitness increase rate of 5% as the best strategy implementation rate in the
future two years to obtain the greatest benefit.
KEYWORDS
System Dynamics, Sports Promotion Strategy, National Health Care
1. INTRODUCTION
The health of citizens is an important asset of a country, as well as the key factor for improving
national competitiveness. High-quality human resources and high-efficiency productivity can
only be created when citizens have healthy physique and plenty of thoughts to live a LOHAS life
[1]. The foundation of national prosperity cannot be laid until the government promotes sports
strategy to lead the wave of national sports and to further improve social economy [2, 3].
Therefore, the cause-and-effect relationship between sports promotion strategy and effectiveness
of national health care is an issue that cannot be ignored [4, 5].
This study mainly used the dynamic situational simulation of system dynamics to perform
dynamic simulation on the relationship between sports promotion strategy and effectiveness of
national health care in Taiwan and their future development. In addition, this study used the
simulation results as the reference standards on amendment to sports promotion strategy [6, 7].
The purpose of this study is to use the dynamic situational simulation of system dynamics to find
out the best sports promotion strategy to improve the effectiveness of national health care.
Moreover, it is hoped that the promotion of sports strategy can lead the wave of national sports
and strengthen citizens’ awareness of improving health by taking exercise [8, 9, 10, 11].
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2. SYSTEM DYNAMICS
2.1. System Dynamics Theory
The concept of system dynamics originates from cybernetics, and system dynamics is a
management tool that can assist managers in systemic thinking. In static studies, system will not
change with the change of time. Therefore, it is impossible to analyse the complicated changes of
systemic structure with the time. As a result, this study intends to investigate various mutual
effects generated after the entire system changes with time to respond to external conditions
based on the management concept of cause-and-effect feedback loops of system dynamics.
Because system dynamics can effectively resolve the deficiency that variables cannot be easily
quantified in general analytic measurement model and dynamic environment, the simulated
system status can better reflect the actual situation of real environment [12].
2.2. System Dynamics Model Development Procedures
The founder of system dynamics, J.W. Forrester, suggested that the model development process
includes the following six procedures [13]:
2.2.1. Description on Current System Status
The first step is to find out current urgent problems to be solved and expected objectives, and to
describe the cause-and-effect relationships among system structure.
2.2.2. Mathematical Model
The second step is to convert the cause-and-effect relationships among the aforesaid system
structure to a mathematical model of stock-flow equations.
2.2.3. Simulation
The third step is to use system dynamics software and simulation process to analyse whether the
designed system and its cause-and-effect relationships are correct and reasonable. If they are not
reasonable, the system will be amended until the correct and reasonable system model is
developed.
2.2.4. Design of Policy Structure
The fourth step is to use system dynamics software to simulate various policies to further find out
the best implementation policy.
2.2.5. Education and Discussion
The fifth step is to implement the educational training before the implementation of policy to
enable participants to reach consensus and to ensure the success of policy implementation.
2.2.6. Change in Policy Implementation Structure
The last step is to completely exclude the concepts of the old policies, and to start to implement
new policies and develop new information sources.
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2.3. System Dynamics Model Development Criteria
Sterman pointed out that model development process is highly innovative, and the model
development approach of everyone is different. However, it is necessary to abide by the same
rules for success [14].
2.3.1. Clarify the Problems and Determine the Boundaries
It is necessary to make sure the main variables affecting the system and their time unit and range.
2.3.2. Form Dynamic Hypotheses
It is necessary to propose dynamic hypotheses according to the problem. However, it is necessary
to comply with endogenous perspectives to develop system cause-and-effect loop diagram.
2.3.3. Develop System Dynamics Model
It is necessary to define the parameters, structure and decision-making rules and to test the
accuracy of hypotheses.
2.3.4. Perform Tests Repeatedly
It is necessary to constantly simulate and test the system structure to find out the model with the
highest reliability and validity.
2.3.5. Design and Assess Policies
It is necessary to test the practicability of policy implementation in real environment based on the
model as the reference information for managers to develop policies.
Sternman emphasized that the aforementioned model development process is not linear
procedures, but a process of constant revisions. The new idea of any procedure will affect other
procedures. The model development process of this study is compliant with this criterion.
3. RESEARCH METHOD
This study used Vensim software of system dynamics to allocate the proportions of the effect of
high, medium and low sports policy implementation rate on the effectiveness of national health
care, as well as to simulate the system dynamics situation affecting the future development [15].
Firstly, this study determined which variables should be stock, and then input relevant cause-and-
effect variables into the stock-flow diagram one by one to develop the system dynamics model.
The Causal Feedback Loop Diagram and Stock-Flow Diagram of this study are as follows:
3.1. Causal Feedback Loop Diagram
As shown in Figure 1, when the overall effectiveness of national preventive health care of a
country is good, the number of patients attending clinic visits covered by national health
insurance (NHI) will be decreased, namely, the medical care expenditure of a country will be
reduced. In other words, when a country’s medical care expenditure is less, the government can
use adequate NHI funding. When the government has sufficient NHI funding, it can promote
more sports policies thunder the situation of sufficient funding, the implementation rate of various
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policies will be increased relatively. When there is an increase in the implementation rate of
sports policies that are beneficial to the health of citizens, the increase rate of national physical
fitness will also be increased. The effectiveness of national preventive health care can be
improved through the increase in national physical fitness.
Figure 1. Causal Feedback Loop Diagram
Good effectiveness of national preventive health care also means that all the citizens are highly
cooperative with the physical and psychological health development sports policies promoted by
the government. The high level of cooperation further increased the number of people who
constantly maintain exercise habit. Moreover, strong physique can be developed and the aging of
various physical functions can be alleviated by improving national physical fitness. The
alleviation of aging of physical functions also reduces national mortality. When the national
mortality is reduced, there will be more citizens paying the NHI premium, which will
significantly increase the income of NHI. In other words, the significant increase in the income of
NHI means that the effectiveness of a country’s national preventive health care is good.
3.2. Stock-flow Diagram
As shown in Figure 2, the model was firstly initiated using the variable of policy implementation
rate. To promote the atmosphere of national sports and improve national physical fitness, the
increase in the physical fitness can prevent the occurrence of diseases, reduce national mortality
and increase the average life expectancy of citizens. The increase in life expectancy of citizens
can lead to relative increase the number of citizens paying the NHI premiums and further reduce
county/city governments’ burden of debts to NHI. The higher the increase rate in national
physical fitness is, the better the effectiveness of national preventive health care is, which also
indirectly decreases the number of people attending clinic visits covered by the NHI. When the
number of people attending clinic visits is decreased, the medical care expenditure will also be
decreased, which enables the government to have more funding to cover the expenses of citizens’
catastrophic illness and implement the policies to take care of the disadvantaged groups.
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Figure 2. Stock-flow Diagram
If the national mortality cannot be reduced, the government has to spend more funding on
increasing citizens’ willingness to take exercise to make those who never take exercise to
understand the importance of sports to physical health and to decrease the number of citizens who
never take exercise. In addition, it can also increase the number of people who constantly take
exercise to further achieve the dual effect. In short, when citizens are highly cooperative, the
number of policies completely implemented will also be increased relatively to facilitate the
implementation of the overall policy and to achieve the objective. Moreover, the people
promoting policy can more aggressively implement the programs that are beneficial to the
physical and psychological health of citizens. Therefore, the pressure of increase in NHI
premiums can be alleviated to quell discontent of citizens and enhance their identification for
government.
4. RESULTS AND DISCUSSION
This study chose to investigate the effect of high, medium and low policy implementation rate on
effectiveness of national health care and its future development trend, and thus performed a 2-
year simulation test. Firstly, this study adjusted two variables, policy implementation rate and
national mortality. Secondly, this study compared the conditions, NHI premium, medical care
expenditure and effectiveness of national preventive health care to find out the policy promotion
rate for the best effectiveness of national health care.
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4.1. Strategy Situation 1
This study set up the conditions: high policy implementation rate (85%), national mortality rate
(20%), increase rate of national physical fitness of 5%, citizens’ level of cooperation (0.5) to
perform simulation, as shown in Figure 3.
Figure 3. NHI Premium under High Policy Implementation Rate
When the government aggressively promoted national sports strategy with income of NHI
premium and medical care expenditure equally (NTD 410 billion), the citizens engaged in sports
in the first 11 months. Therefore, the physical fitness and immunity of most of the citizens were
slightly improved, leading to the decrease in the number of people attending clinic visits.
Therefore, the income of premium exceeded its expenditure. However, by Month 22, the
expenditure (NTD 460 billion) significantly exceeded the income (NTD 410 billion), reflecting a
deficit. The reason was that the physical and psychological fatigue caused by long-term excessive
exercise led to and decrease in immunity. Therefore, the number of people attending clinic visits
increased, and so did the expenditure.
As shown in Figure 4, under high policy implementation rate, the future development trend of
effectiveness of national health care decreased from 20% in Month 15 before policy
implementation to 16% in Month 18 in the midway. The reason was that, the effectiveness of
policy implementation was not immediately reflected in the beginning, leading to citizens’
misunderstand that the government was lying to them. However, by Month 21 when the
effectiveness was significant, the development trend rapidly increased to 79% due to positive
appraisal. However, the development trend slumped in the end, reflecting the short-lived
development trend. The reason was that the government provided subsidies for participation in
sports activities in order to promote national health care sports to the public, leading to a rush of
participation in various health care sports. As a result, the excessive subsidies provided by the
government led to the decrease and termination of health care sports strategy.
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Figure 4. Development Trend of Effectiveness of National Health Care under High Policy Implementation
Rate
4.2. Strategy Situation 2
This study set up the conditions: medium policy implementation rate (55%), national mortality
(20%), increase rate of national physical fitness of 5% and citizens’ level of cooperation (0.5) to
perform simulation, as shown in Figure 5.
Figure 5. NHI Premium under Medium Policy implementation Rate
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When the government properly promoted national health sports strategy, the income of premium
gradually increased from NTD 360 billion in the beginning of implementation of policy to NTD
415 billion in the end. During this process, medical care expenditure was not increased. The
reason was that this strategy was different from strategy 1 where citizens intended to obtain the
subsidies from the government by participating in various health care sports activities held by the
government, which led to deficit. This strategy was to properly provide subsidies according to the
actual situation at that time. This approach would not lead to the decrease in the future funding,
which might make citizens give up participation due to economic burden.
As shown in Figure 6, the future development trend of effectiveness of national health care
increased from 4% in the beginning of policy implementation to 65% in the end. Although it was
not as high as that that of strategy 1 (79%), it could last longer in the future. The reason was that
this strategy was different from strategy 1 where the government provided a lot of subsidies to
promote national health sports strategy, leading to the short-lived development trend. This
strategy was that the government provided subsidies in a timely manner to make the strategy last
longer.
Figure 6. Development Trend of Effectiveness of National Health Care under Medium Policy
Implementation Rate
4.3. Strategy Situation 3
This study set up the conditions: low policy implementation rate (25%), national mortality (20%),
increase rate of national physical fitness of 5% and citizens’ level of cooperation (0.5), as shown
in Figure 7.
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Figure 7. NHI Premium under Low Policy Implementation Rate
When the government no longer attached importance to the promotion of national health care
sports strategy, the original surplus of NHI premium of NTD 15 billion before the policy
promotion decreased to NTD -35 billion (income of NHI premium of NTD 415 billion –
expenditure of NHI premium of NTD 450 billion) after a period of time. The reason was that the
population structure in Taiwan had become an aging society. If citizens failed to alleviate the
aging of their physical functions by taking exercise in their daily life to strengthen their immunity
against diseases, the NHI premium would rise in the end to support the continuous
implementation of NHI policy.
As shown in Figure 8, under low policy implementation rate, the future development trend of
effectiveness of national health care decreased from 0% in Month 9 in the beginning to -16% in
Month 14. The reason was that the government did not aggressively promote the importance of
sports to health and preventive health care. Moreover, because citizens were busy in their daily
life, most of them neglected to maintain a good exercise habit. Although only a small proportion
of citizens maintained exercise habit to contribute to the temporary growth of 25% in Month 21,
the influence of real living environment still led to the slump of development trend of
effectiveness of national preventive health care.
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Figure 8. Development Trend of Effectiveness of National Heath Care under Low Policy Implementation
Rate
The simulation results of the dynamic policy model in this study showed that, future policy
makers may refer to relevant conditions of strategy situation 2 for the promotion rate and
implementation rate of national health care sports strategy to develop, design and promote the
detailed sports strategy. Moreover, in terms of subsidies, excessive subsidies will lead to increase
in the number of application for implementation, as well as responsible unit’s failure to engage in
implementation. Insufficient subsidies will lead to poor implementation effectiveness and the
eventual failure. Therefore, excessive and insufficient subsidies are both inappropriate. It is
necessary to carefully assess and properly increase or decrease the subsidies according to the
current status.
5. CONCLUSION
This study used system dynamics’ advantages of ability to deal with a large number of variables
and advanced nonlinear system, and performed dynamic simulation on strategy situation to
choose the allocation of proportions of policy promotion with the best national health care
effectiveness. According to research results, the government’ level of importance attached to
sports policy promotion, implementation rate and national mortality all have a significant effect
on the future development of effectiveness of national health care, and may further directly affect
the overall national strength. According to the simulation results of the strategy situation, medium
policy promotion and implementation rate (55%) and increase rate of national physical fitness of
5% should be adopted for the best effectiveness in the future two years.
However, the government usually aggressively promotes most of the strategies in the beginning,
and then terminated them after a period of time due to lack of effectiveness. The government
ignores the fact that it takes a very long time, instead of only a few months, for a promoted policy
to achieve effectiveness. In Taiwan, no importance was attached to national health care sports in
the past. It was not until many studies show that physical activities can prevent occurrence of
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cardiovascular diseases was the attention attracted to such an issue. If the promotion of policy can
lead the wave of national sports, as well as encourage citizens to take exercise regularly to
increase cardiopulmonary function and immunity to prevent diseases, a consideration amount of
medical care expenditure can be saved for Taiwan, and the increase in NHI premium can be
postponed. The results can be provided as reference for the government authority to plan for
allocation of proportions in future policies, in order to further improve physical fitness of citizens
in Taiwan, as well as to take the opportunity to strengthen national power.
ACKNOWLEDGEMENTS
Financial support of this work was provided by Sports Administration, Ministry of Education,
Taiwan, (Project No. 102R-06-1-63).
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