Demystifying Decision-Making

by Aimee Joseph

Author	: Aimee Joseph
Publisher	: Crossway
Total Pages	: 169
Release	: 2021-12-22
Genre	: Religion
ISBN	: 1433575442

GET BOOK

Drawing Closer to God One Decision at a Time On an average day, people makes countless decisions: Should I get out of bed or hit the snooze button? What should I have for breakfast? Where should we go for this year's vacation? While some decisions are easy to make, others can leave individuals paralyzed and full of anxiety. As Christians living in an increasingly individualistic society, what's the best strategy for making decisions that honor God while becoming more like him in the process? Writing from her own experience and pointing to biblical examples, Aimee Joseph offers a biblical and theological framework for decision-making. She explains God's design for humans as decision-makers, the biblical model for making choices, common wrong approaches, practical tips, and what to do when you've made a poor decision. With the philosophy that "as we shape our decisions, our decisions shape us," Joseph teaches readers how to worship and draw closer to Christ through their daily decisions. Practical: Equips Christians to make decisions as God's image bearers Applicable: Features study questions and helpful resources, including "The Dashboard of Decisions" and a decision-making flowchart Published in Partnership with the Gospel Coalition (TGC)

Demystifying Leadership

by Asha Kaul

Author	: Asha Kaul
Publisher	: Bloomsbury Publishing
Total Pages	: 276
Release	: 2021-07-18
Genre	: Business & Economics
ISBN	: 9354351093

GET BOOK

Can leadership lessons be learnt from the Mahabharata? Demystifying Leadership positively asserts that we can and probes inquiry in the lives of six characters-Bhishma, Ashvatthama, Karna, Shakuni, Kunti and Krishna. It studies these characters in inescapable situations as they navigate through life by demonstrating values, decision-making ability, integrity and principles. Within the given constraints, some of these characters swim and rise, while others sink in moral turpitude. Extrapolating these successful and not-so-successful character traits to corporate leaders and linking them to scholarship, the authors provide lessons for leaders and managers operating in diverse situations. Borrowing from different disciplines, such as literature, philosophy, politics and psychology, Demystifying Leadership proposes to link essentials of leadership in the form of a Leadership Triangle comprising six levels: positive personality, peace with personal identity, purpose, positive use of power and politics, paradoxical leadership and principled pragmatism. It takes a grounded approach in amalgamating mythology and leadership through scholarship and practice.

Demystifying Organizational Learning

by Raanan Lipshitz

Author	: Raanan Lipshitz
Publisher	: SAGE
Total Pages	: 297
Release	: 2006-06-21
Genre	: Business & Economics
ISBN	: 1452236542

GET BOOK

This book presents a solid, research-based conceptual framework that demystifies organizational learning and bridges the gap between theory and practice. Using an integrative approach, authors Raanan Lipshitz, Victor Friedman and Micha Popper provide practitioners and researchers with tools for understanding organizational learning under real-world conditions. Key Features: Tackles the problem of mystification: A clear message is presented that organizational learning and related concepts have been mystified in a way that is unnecessary and dysfunctional to both theory and practice. This book provides a unique set of tools for understanding, promoting, and studying organizational learning. Introduces an integrative theme that addresses three key questions: How can organizations actually learn? What is the key for productive organizational learning? When is productive organizational learning likely to occur? Answering these questions is the key to clarifying the conceptual confusion that plagues the related fields of organizational learning, learning organizations, and knowledge management. Illuminates organizational reality: All of the concepts presented in the book are illustrated through concrete case examples. Detailed analyses are provided of both successful and unsuccessful applications of organizational learning. In addition, examples of interventions to develop organizational learning are included to help managers and consultants. Intended Audience: This book is designed for advanced undergraduate and graduate courses such as Organizational Learning, Knowledge Management, and Organizational Behavior in the departments of Management, Organizational Behavior, Psychology, and Sociology.

Demystifying Legal Reasoning

by Larry Alexander

Author	: Larry Alexander
Publisher	: Cambridge University Press
Total Pages	: 254
Release	: 2008-06-16
Genre	: Philosophy
ISBN	: 113947247X

GET BOOK

Demystifying Legal Reasoning defends the proposition that there are no special forms of reasoning peculiar to law. Legal decision makers engage in the same modes of reasoning that all actors use in deciding what to do: open-ended moral reasoning, empirical reasoning, and deduction from authoritative rules. This book addresses common law reasoning when prior judicial decisions determine the law, and interpretation of texts. In both areas, the popular view that legal decision makers practise special forms of reasoning is false.

Demystifying Opioid Conversion Calculations: A Guide for Effective Dosin

by Mary Lynn McPherson

Author	: Mary Lynn McPherson
Publisher	: ASHP
Total Pages	: 263
Release	: 2018-08-28
Genre	: Medical
ISBN	: 1585284300

GET BOOK

Praised by practitioners, students and instructors for its engaging approach to teaching a very complex subject, Demystifying Opioid Conversion Calculations: A Guide for Effective Dosing, has long been the go-to guide for learning how to calculate opioid conversions. Now in its second edition, this reference is a must-have for clinicians involved in pain management at all levels. Written by pain management expert Mary Lynn McPherson, PharmD, MA, MDE, BCPS, CPE, Demystifying Opioid Conversion Calculations focuses on the calculations that practitioners use in actual practice, providing realistic scenarios for decision making. The revised edition covers the entire spectrum of opioid analgesics used to manage patients with moderate-to-severe pain and serious life-limiting illnesses.

Demystifying Big Data and Machine Learning for Healthcare

by Prashant Natarajan

Author	: Prashant Natarajan
Publisher	: CRC Press
Total Pages	: 227
Release	: 2017-02-15
Genre	: Medical
ISBN	: 1315389304

GET BOOK

Healthcare transformation requires us to continually look at new and better ways to manage insights – both within and outside the organization today. Increasingly, the ability to glean and operationalize new insights efficiently as a byproduct of an organization’s day-to-day operations is becoming vital to hospitals and health systems ability to survive and prosper. One of the long-standing challenges in healthcare informatics has been the ability to deal with the sheer variety and volume of disparate healthcare data and the increasing need to derive veracity and value out of it. Demystifying Big Data and Machine Learning for Healthcare investigates how healthcare organizations can leverage this tapestry of big data to discover new business value, use cases, and knowledge as well as how big data can be woven into pre-existing business intelligence and analytics efforts. This book focuses on teaching you how to: Develop skills needed to identify and demolish big-data myths Become an expert in separating hype from reality Understand the V’s that matter in healthcare and why Harmonize the 4 C’s across little and big data Choose data fi delity over data quality Learn how to apply the NRF Framework Master applied machine learning for healthcare Conduct a guided tour of learning algorithms Recognize and be prepared for the future of artificial intelligence in healthcare via best practices, feedback loops, and contextually intelligent agents (CIAs) The variety of data in healthcare spans multiple business workflows, formats (structured, un-, and semi-structured), integration at point of care/need, and integration with existing knowledge. In order to deal with these realities, the authors propose new approaches to creating a knowledge-driven learning organization-based on new and existing strategies, methods and technologies. This book will address the long-standing challenges in healthcare informatics and provide pragmatic recommendations on how to deal with them.

Demystifying Climate Models

by Andrew Gettelman

Author	: Andrew Gettelman
Publisher	: Springer
Total Pages	: 282
Release	: 2016-04-09
Genre	: Technology & Engineering
ISBN	: 3662489597

GET BOOK

This book demystifies the models we use to simulate present and future climates, allowing readers to better understand how to use climate model results. In order to predict the future trajectory of the Earth’s climate, climate-system simulation models are necessary. When and how do we trust climate model predictions? The book offers a framework for answering this question. It provides readers with a basic primer on climate and climate change, and offers non-technical explanations for how climate models are constructed, why they are uncertain, and what level of confidence we should place in them. It presents current results and the key uncertainties concerning them. Uncertainty is not a weakness but understanding uncertainty is a strength and a key part of using any model, including climate models. Case studies of how climate model output has been used and how it might be used in the future are provided. The ultimate goal of this book is to promote a better understanding of the structure and uncertainties of climate models among users, including scientists, engineers and policymakers.

Demystifying OWL for the Enterprise

by Michael Uschold

Author	: Michael Uschold
Publisher	: Morgan & Claypool Publishers
Total Pages	: 263
Release	: 2018-05-29
Genre	: Computers
ISBN	: 1681731282

GET BOOK

The purpose of this book is to speed up the processing of learning and mastering the Web Ontology Language OWL. To that end, the focus is on the 30% of OWL that gets used 90% of the time. After a slow incubation period of nearly 15 years, a large and growing number of organizations now have one or more projects using the Semantic Web stack of technologies. The Web Ontology Language (OWL) is an essential ingredient in this stack, and the need for ontologists is increasing faster than the number and variety of available resources for learning OWL. This is especially true for the primary target audience for this book: modelers who want to build OWL ontologies for practical use in enterprise and government settings. Others who may benefit from this book include technically oriented managers, semantic technology developers, undergraduate and post-graduate students, and finally, instructors looking for new ways to explain OWL. The book unfolds in a spiral manner, starting with the core ideas. Each subsequent cycle reinforces and expands on what has been learned in prior cycles and introduces new related ideas. Part 1 is a cook's tour of ontology and OWL, giving an informal overview of what things need to be said to build an ontology, followed by a detailed look at how to say them in OWL. This is illustrated using a healthcare example. Part 1 concludes with an explanation of some foundational ideas about meaning and semantics to prepare the reader for subsequent chapters. Part 2 goes into depth on properties and classes, which are the core of OWL. There are detailed descriptions of the main constructs that you are likely to need in every day modeling, including what inferences are sanctioned. Each is illustrated with real-world examples. Part 3 explains and illustrates how to put OWL into practice, using examples in healthcare, collateral, and financial transactions. A small ontology is described for each, along with some key inferences. Key limitations of OWL are identified, along with possible workarounds. The final chapter gives a variety of practical tips and guidelines to send the reader on their way.

Handbook of Machine Learning for Computational Optimization

by Vishal Jain

Author	: Vishal Jain
Publisher	: CRC Press
Total Pages	: 295
Release	: 2021-11-02
Genre	: Business & Economics
ISBN	: 100045567X

GET BOOK

Technology is moving at an exponential pace in this era of computational intelligence. Machine learning has emerged as one of the most promising tools used to challenge and think beyond current limitations. This handbook will provide readers with a leading edge to improving their products and processes through optimal and smarter machine learning techniques. This handbook focuses on new machine learning developments that can lead to newly developed applications. It uses a predictive and futuristic approach, which makes machine learning a promising tool for processes and sustainable solutions. It also promotes newer algorithms that are more efficient and reliable for new dimensions in discovering other applications, and then goes on to discuss the potential in making better use of machines in order to ensure optimal prediction, execution, and decision-making. Individuals looking for machine learning-based knowledge will find interest in this handbook. The readership ranges from undergraduate students of engineering and allied courses to researchers, professionals, and application designers.