This document discusses Bayesian belief network (BBN) modeling and its applications. It provides an overview of BBNs, including that they are useful for participatory systems analysis, integrate different forms of knowledge and data, represent complex systems through causal links between variables, and quantify uncertainties through probabilities. The document then presents an example BBN model focusing on quality of life for women in Ghanaian agriculture. It shows the current situation and then proposed systemic interventions to improve various factors and ultimately increase quality of life.
Systems Thinking in Practice - an Open University showcasedtr4open
Presentation details the Open University's Systems Thinking in Practice Masters programme along with examples of practice from STiP Alumni as showcased at the UK Public Sector Show April 2013.
The nation is at an environmental crossroads, states a report released today by the National Science Foundation's (NSF) Advisory Committee for Environmental Research and Education (AC-ERE): America's Future: Environmental Research and Education for a Thriving Century: A 10-year Outlook.
Systems Thinking in Practice - an Open University showcasedtr4open
Presentation details the Open University's Systems Thinking in Practice Masters programme along with examples of practice from STiP Alumni as showcased at the UK Public Sector Show April 2013.
The nation is at an environmental crossroads, states a report released today by the National Science Foundation's (NSF) Advisory Committee for Environmental Research and Education (AC-ERE): America's Future: Environmental Research and Education for a Thriving Century: A 10-year Outlook.
Cost-Aware Virtual Machine Placement acrossDistributed Data Centers using Ba...Soodeh Farokhi
In recent years, cloud computing providers have been working to provide highly available and scalable cloud services to keep themselves alive in the competitive market of various cloud services. The difficulty is that to provide such high quality services, they need to enlarge data centers (DCs), and consequently, to increase operating costs. Hence, leveraging cost-aware solutions to manage resources is necessary for cloud providers to decrease the total energy consumption, while keeping their customers satisfied with high quality services. In this paper, we consider the cost-aware virtual machine (VM) placement across geographically distributed DCs as a multi-criteria decision making problem and propose a novel approach to solve it by utilizing Bayesian Networks and two algorithms for VM allocation and consolidation. The novelty of our work lays in building the Bayesian Network according to the extracted expert knowledge and the probabilistic dependencies among parameters to make decisions regarding cost-aware VM placement across distributed DCs, which can face power outages. Moreover, to evaluate the proposed approach we design a novel simulation framework that provides the required features for simulating distributed DCs. The performance evaluation results reveal that using the proposed approach can reduce operating costs by up to 45% in comparison with First-Fit-Decreasing heuristic method as a baseline algorithm.
Dynamic Bayesian modeling for risk prediction in credit operations (SCAI2015)AMIDST Toolbox
In this paper we perform an exploratory analysis of a finan- cial data set from a Spanish bank. Our goal is to do risk prediction in credit operations, and as data is collected continuously and reported on a monthly basis, this gives rise to a streaming data classification problem. Our analysis reveals some practical problems that have not previously been thoroughly analyzed in the context of streaming data analysis: the class labels are not immediately available and the rele- vant predictive features and entities under study (in this case the set of customers) may vary over time. In order to address these problems, we propose to use a dynamic classifier with a wrapper feature subset selection to find relevant features at di↵erent time steps. The proposed model is a special case of a more general framework that can also ac- commodate more expressive models containing latent variables as well as more sophisticated feature selection schemes.
Full text link: http://www.idi.ntnu.no/~helgel/papers/BorchaniMartinezMasegosaLangsethNielsenSalmeronFernandezMadsenSaezSCAI15.pdf
Controlling Project Performance using PDM - PSQT2005 - Ben LindersBen Linders
• A hands-on model for control of product and process quality.
• Support of release risk decisions based on defect data.
• ODC and Test Matrices applied in different test phases.
• Usage of feedback to analyze data and come to actions.
• Using project data for a business case for improvement.
Assessing the impact of a global health MOOC/OER Sally Parsley
Presentation to OER Global 18, Delft, 24th April 2018 presenting an update on work so far and plans for assessing the impact of a global health MOOC/OER.
Creating a Training Program and Learning CultureBizLibrary
You're invited to attend this event which is designed to direct you through the planning, deployment, marketing, and ongoing management of your employee development program. We'll cover: Getting Started From the Ground Up - what you need to know about: Creating a Learning Culture Change Management Setting Success Criteria AND once you've created your program how to evaluate and integrate for growth.
Evidence Example -presentation from SWSSF Vision and Strategy Improving use of evidence scoping workshop 4th November 2015, Strathclyde University, Glasgow
Cost-Aware Virtual Machine Placement acrossDistributed Data Centers using Ba...Soodeh Farokhi
In recent years, cloud computing providers have been working to provide highly available and scalable cloud services to keep themselves alive in the competitive market of various cloud services. The difficulty is that to provide such high quality services, they need to enlarge data centers (DCs), and consequently, to increase operating costs. Hence, leveraging cost-aware solutions to manage resources is necessary for cloud providers to decrease the total energy consumption, while keeping their customers satisfied with high quality services. In this paper, we consider the cost-aware virtual machine (VM) placement across geographically distributed DCs as a multi-criteria decision making problem and propose a novel approach to solve it by utilizing Bayesian Networks and two algorithms for VM allocation and consolidation. The novelty of our work lays in building the Bayesian Network according to the extracted expert knowledge and the probabilistic dependencies among parameters to make decisions regarding cost-aware VM placement across distributed DCs, which can face power outages. Moreover, to evaluate the proposed approach we design a novel simulation framework that provides the required features for simulating distributed DCs. The performance evaluation results reveal that using the proposed approach can reduce operating costs by up to 45% in comparison with First-Fit-Decreasing heuristic method as a baseline algorithm.
Dynamic Bayesian modeling for risk prediction in credit operations (SCAI2015)AMIDST Toolbox
In this paper we perform an exploratory analysis of a finan- cial data set from a Spanish bank. Our goal is to do risk prediction in credit operations, and as data is collected continuously and reported on a monthly basis, this gives rise to a streaming data classification problem. Our analysis reveals some practical problems that have not previously been thoroughly analyzed in the context of streaming data analysis: the class labels are not immediately available and the rele- vant predictive features and entities under study (in this case the set of customers) may vary over time. In order to address these problems, we propose to use a dynamic classifier with a wrapper feature subset selection to find relevant features at di↵erent time steps. The proposed model is a special case of a more general framework that can also ac- commodate more expressive models containing latent variables as well as more sophisticated feature selection schemes.
Full text link: http://www.idi.ntnu.no/~helgel/papers/BorchaniMartinezMasegosaLangsethNielsenSalmeronFernandezMadsenSaezSCAI15.pdf
Controlling Project Performance using PDM - PSQT2005 - Ben LindersBen Linders
• A hands-on model for control of product and process quality.
• Support of release risk decisions based on defect data.
• ODC and Test Matrices applied in different test phases.
• Usage of feedback to analyze data and come to actions.
• Using project data for a business case for improvement.
Assessing the impact of a global health MOOC/OER Sally Parsley
Presentation to OER Global 18, Delft, 24th April 2018 presenting an update on work so far and plans for assessing the impact of a global health MOOC/OER.
Creating a Training Program and Learning CultureBizLibrary
You're invited to attend this event which is designed to direct you through the planning, deployment, marketing, and ongoing management of your employee development program. We'll cover: Getting Started From the Ground Up - what you need to know about: Creating a Learning Culture Change Management Setting Success Criteria AND once you've created your program how to evaluate and integrate for growth.
Evidence Example -presentation from SWSSF Vision and Strategy Improving use of evidence scoping workshop 4th November 2015, Strathclyde University, Glasgow
Information may be time-sensitive. Subscribers should use the information contained at their own risk. Please check latest information with Dr. A by emailing bugdoctor@auburn.edu.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Acetabularia Information For Class 9 .docxvaibhavrinwa19
Acetabularia acetabulum is a single-celled green alga that in its vegetative state is morphologically differentiated into a basal rhizoid and an axially elongated stalk, which bears whorls of branching hairs. The single diploid nucleus resides in the rhizoid.
Safalta Digital marketing institute in Noida, provide complete applications that encompass a huge range of virtual advertising and marketing additives, which includes search engine optimization, virtual communication advertising, pay-per-click on marketing, content material advertising, internet analytics, and greater. These university courses are designed for students who possess a comprehensive understanding of virtual marketing strategies and attributes.Safalta Digital Marketing Institute in Noida is a first choice for young individuals or students who are looking to start their careers in the field of digital advertising. The institute gives specialized courses designed and certification.
for beginners, providing thorough training in areas such as SEO, digital communication marketing, and PPC training in Noida. After finishing the program, students receive the certifications recognised by top different universitie, setting a strong foundation for a successful career in digital marketing.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
Once the integrated master plan has been created from the outcomes of the bayesian modeling exercises (and/or system dynamic modeling), these strategies/systemic interventions are then implemented; reflected upon at two or three monthly intervals and new issues may arise. These may require further training, changes in the model (or refinements with outcomes) and the cycle continuously repeats itself.
THUS, THE LIVING LABORATORY IS A SYSTEMS BASED “METHODOLOGY” TO UNRAVEL COMPLEXITY AND OVER TIME, THROUGH CROSS-SECTORAL COMMUNICATION AND COLLABORATION, FIND WAYS TO ACHIEVE SUSTAINABLE DEVELOPMENT IN THE COMPLEX ENVIRONMENTS WE ARE DEALING WITH IN A TURBULENT 21ST CENTURY KNOWLEDGE SOCIETY.
Following slides demonstrates the use of Bayesian modeling as a Participatory Systems Analysis tool – over-simplified, but illustrates the steps they go though to develop a model that they can use as a management tool for achieving specific goals (such as addressing the leverage points they have identified)
What will the things you can do lead to that will contribute to achieving the main goal?
What other factors from the outside could affect the outcomes you would expect? (e.g. rain, temperature, against their religion or ethical/moral standards, etc.) This is bringing in those non-quantifiable things that are part of the equation (e.g. in the case of a sustainability goal – adding culture, ethics, politics, etc. to environment, economics and social).
What other factors from the outside could affect the outcomes you would expect? (e.g. rain, temperature, against their religion or ethical/moral standards, etc.) This is bringing in those non-quantifiable things that are part of the equation (e.g. in the case of a sustainability goal – adding culture, ethics, politics, etc. to environment, economics and social).