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Cover -- Half Title -- Title Page -- Copyright Page -- Table of Contents -- Preface -- Acknowledgments -- Chapter 1: Getting Started -- 1.1 Purpose of This Book -- 1.2 What This Book Is Based On -- 1.3 Two Ways to Use This Book -- 1.4 How to Get the Most Out of Your Reading -- 1.4.1 Become Familiar with This Book as a Whole -- 1.4.2 Become Familiar with Each Chapter -- 1.4.3 Use a Reading Strategy -- 1.4.4 Use the Margin Assists -- 1.5 Overview of the Contents -- 1.5.1 Chapter 1: Getting Started -- 1.5.2 Chapter 2: The Production Processes and Operations of Healthcare -- 1.5.3 Chapter 3: An Introduction to Just-in-Time -- 1.5.4 Chapter 4: Creating Islands of Flow -- 1.5.5 Chapter 5: Using Pull to Connect Islands of Flow -- 1.5.6 Chapter 6: Support Techniques for Just-in-Time -- 1.5.7 Chapter 7: Reflections and Conclusions -- Chapter 2: The Production Processes and Operations of Healthcare -- The Production Processes and Operations of Healthcare -- 2.1 The Industrial Origins of Lean Healthcare -- 2.1.1 How Much Waste Is There in Healthcare? -- 2.1.2 Waiting Is Waste -- 2.1.3 Defects Are Waste -- 2.2 Production, Process, and Operation -- 2.3 Improving Processes, as well as Operations -- SUMMARY -- REFLECTIONS -- Chapter 3: An Introduction to Just-in-Time -- 3.1 What Is Just-in-Time? -- 3.1.1 Why JIT Is Important -- 3.1.2 The Benefits of JIT for Organizations -- 3.1.3 The Benefits of JIT for You -- 3.2 Phases of Implementing JIT -- 3.2.1 Value -- 3.2.2 Map -- 3.2.3 Flow -- 3.2.4 Pull -- 3.2.5 Perfect -- SUMMARY -- REFLECTIONS -- Chapter 4: Creating Islands of Flow -- 4.1 INTRODUCTION -- 4.2 Standard Work -- 4.2.1 Standard Task -- 4.2.2 Standard Work Sequence -- 4.2.3 Standard Cycle Time -- 4.2.4 Standard Patients in Process -- 4.2.5 Standard Documentation -- 4.2.6 The Foundation for Continuous Improvement -- 4.3 Benefits of a Process Flow Layout

Tourists who travel to a tourism village certainly have different characteristics, motivations, and perceptions. These three things are very important to be identified, because they can become a reference material for the local community and the government related to self-improvements, facilities-improvements, infrastructure, management, and services in Trunyan Tourism Village that can affect the tourist and the returning of them, and are able to provide excellent service in accordance with the tourists expectations. The purpose of this study is to identify the characteristics, motivations, and perceptions of the foreign tourists who travel to Trunyan Tourism Village. Data collection techniques used in this research are observation, unstructured interviews, questionnaires, literature study, and documentation. Accidental sampling techniques used to take a sample of 100 people. Data analysis technique used in this study is descriptive qualitative data analysis technique. The results show that the most foreign tourists who travel to Trunyan Tourism Village are 33% from United States, 40% with an age range of 15-30 years old, 55% males, 29% working as employees, and 39% of master-educated. A total of 61% tourist state that the purpose of the travel is to travel/recreation, 65% state that the arrangement of the travel is arranged by the travel agency, 100% are first timers, 49% receive the information about Trunyan Tourism Village through the travel agency, 54% spend $39-$54, and 85% are accompanied by friends/family. The motivation that push foreign tourists to travel to Trunyan Tourism Village is novelty and knowledge seeking of 4.10, while the motivation that pull foreign tourists to travel to Trunyan Tourism Village is safety, cleanliness, and variety attraction of 3.71. The foreign tourists who travel to Trunyan Tourism Village have good perceptions/agree with the average total score of 3,60.

Service Enterprise Integration is developing a business paradigm that is of considerable interest in both the "push" research the academic area and the "pull" research of industry. A prominent example of this development has been the transformation of IBM into a service enterprise and the labeling of its new business model as "On-Demand Business." Manufacturing research and practice have done considerable work on the problem of service productivity. In fact, this work has extended the operations of many manufacturing firms to include the "service enterprise" component. IBM, GE, Siemens are several examples of this development. The book investigates the proven concepts, models, methods, and techniques in manufacturing operations and examine all their aspects that are relevant to the problem of service productivity. The presentations provide literature reviews, conceptual analysis, and solution-result-oriented applications on topics including ontology, reference models, ERP, supply chain integration, knowledge management, data security, and a variety of cases on particular applications

The forces of digital technologies are cohesive, penetrative and ubiquitous with the propensity to transform every human activity. Thus, the tempo of religious practices within the influence of this digital pull cannot remain unaffected. This study examines the influence of digital technologies on religious endeavours in the era of Global Information Culture (GIC), particularly on global missions and how humans cannot escape the glue. Descriptive and phenomenological techniques were adopted to x-ray the concepts. The study also identifies the roles of GIC in supporting socio-economic development, influencing cultural and cross-cultural practices, and affecting religious and inter-religious relationships. The study submits that innovations in the GIC have influenced spirituality and Christian witnessing in the 21st century and concludes that in the current webbed dispensation, humanity becomes techno-sapiens and remains so even in their religious practices. The paper, therefore, recommends that stakeholders in the religious sector and practitioners of mission need to embrace and imbibe GIC for their maximum output in their respective endeavours.

Evaluation is a modern term for a practice that dates back to antiquity. It has an international, transnational and global dimension. The elasticity of evaluation implies that evaluation is carried out by governments in different countries covering a wide range of activities. The diversity of evaluands, approaches, influences and practices hold important lessons for countries contemplating to adopt the evaluation technique. This article sketches the state of evaluation in 21 countries across four continents, tabulating various characteristics for comparison purposes. It locates each within a decade called first-, second- and third-wave, referring to when evaluation was first adopted in that country. Some key features are discussed, including globalisation of evaluation; factors that influenced its adoption; location of evaluation jurisdiction - push-pull mechanisms; education, training, professionalisation and supply of expertise; approaches to adoption; utilisation; and prospects. The role of the African Evaluation Association and factors militating against establishing more effective evaluation systems in developing countries, particularly in Africa, are briefly examined.

Abstract: Less maximum dissemination and provision of information to the public related to the performance of labor and social services taransmigration Banggai archipelago in the management of data and information on empowerment and social assistance, it is in because of the limited resources that is owned by implementing policies in terms of both quality and quantity that affects the policy implementation process. lack of knowledge and insight into people's governance, especially the empowerment and social assistance, the maximum is less influenced by the provision of such information. The method used is descriptive qualitative research that describes the facts on the ground. Using data collection techniques, observation techniques, interviews, library research and documentation. The results showed that the public disclosure in view of three dimensions, namely, the ease of accessing the information, accurate and adequate information, the disclosure of information. Of the three dimensions, ease in obtaining the information are not enough in get by society, because human resources are owned by the apparatus implementing policies that are low or utilization of human resources have not been adequate. The conclusion that can pull in this study is that the public disclosure policy implementation has been accomplished, but not maximized, due to the utilization of human resources is not adequate in that agency. It is suggested that the government should undertake formal education. Keywords: public disclosure policy implementation, empowerment and social assistance

The political marketing strategy of legislative candidates is one of the important roles for the victory of a legislative candidate. This study aims to find out how Siti Ambar Fathonah S.Pd.I Political Marketing Strategy to Win the 2019 Legislative Election in Central Java. The research method used is qualitative research with a descriptive approach. Data collection techniques through interviews and documentation. The results of the study show that the marketing strategy carried out by Siti Ambar Fathonah has been going well with push marketing and pull marketing strategies that are used optimally in approaching the community. This marketing success brought him back to the legislative seat for the 2019-2024 period. However, it is not maximized in pass marketing, namely the use of social media as an arena for campaigning to the public. The 2019 Central Java provincial election is proof that political marketing plays an important role for Siti Ambar in gaining votes in the Golkar faction's electoral district II which brought her to the seat of the Central Java Provincial DPRD for the 2019-2024 period.

This work involved the co-substitution of the two bioactive ions of strontium and magnesium into the hydroxyapatite (HA) coating which was then electrochemically deposited on Ti-6Al-4V ELI dental alloy (Gr.23) before and after treatment by Micro Arc Oxidation (MAO). The deposited layers were characterized by scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDS), X-ray diffraction (XRD), and Fourier transform infrared spectroscopy (FTIR). The adhesion strength of the coating layer was estimated by using pull-off adhesion test. The adhesion strength of Sr/Mg-HA on the Ti-6Al-4V ELI dental alloy after MAO treatment was 1.79 MPa, which was higher than that before MAO treatment (1.62 MPa). The corrosion behavior of the alloy in artificial saliva environment at temperature ranged 293-323K was assessed by means of electrochemical techniques and potentiodynamic polarization curves. The corrosion protection to the alloy at 293K was increased from 67.98% before treatment by MAO to 75.87% after treatment. The antimicrobial properties of the coated alloy were evaluated against different bacteria and oral fungi (Candida).

Deep learning has become popular in all aspect related to human judgments. Most machine learning techniques work well which includes text classification, text sequence learning, sentiment analysis, question-answer engine, etc. This paper has been focused on two objectives, firstly is to study the applicability of deep neural networks strategies for extracting sentiment present in social media data and customer reviews with effective training solutions. The second objective is to design deep networks that can be trained with these weakly supervised strategies in order to predict meaningful inferences. This paper presents the concept and steps of using deep learning for extraction sentiments from customer reviews. The extraction pulls out the features from the customer reviews using deep learning popular methods including Convolution neural networks (CNN) and Long Short-Term Memory (LSTM) architectures. The comparison of the results with tradition text classification method such as Naive Bayes(NB) and Support Vector Machine(SVM) using two data sets IMDB reviews and Amazon customer reviews have been presented. This work mainly focused on investigating the merit of using deep models for sentiment analysis in customer reviews.

Abstract

Pursue New Approaches for Garnering Major Gifts


Major Gifts Online? Universities Prove It Can Happen


Cybergiving — Pull Gift Prospects to Your Web Site


Useful Rules of Thumb


Publicizing Donors and Their Gifts


Publicize Major Gifts As Much As Possible


Attract Financially Capable Board Members


Discover What Excites Potential Board Members


Useful Principles for Seeking Major Gifts


Matching Grant Encourages Retirement Asset Donations


Managing Your Steering Committee


Boy Scout Group Keeps Steering Committee On Track


Gifts That Beget Gifts


Remember The Three Kinds of Individuals


Tools to Measure Staff Performance


Performance Appraisal Keeps Major Gifts Officers on Track


Foundation Data Made Easy


Create An Image Worthy of Major Gift Support


More Tips For Online Giving


Managing Your Major Gifts Time


Fund‐raising Pros Share Their Scheduling Secrets


Managers Need to Schedule Calls, Too


Set the Stage For Your Major Gifts Effort


Critical Factors in Preparing for Your Capital Campaign


Consultant Profile


'What If' Exercise


Techniques for Marketing Planned Gifts


In‐house Marketing Piece Gets the Word Out About Retirement Assets As Planned Gifts

This ex post facto descriptive study used personal and environmental variables to differentiate 1,318 youth who attained either self-employment or positions working for a governmental entity within four years after high school. Differentiation was assessed based on the "push" and "pull" theories of employment. The sample was taken from the High School and Beyond 1980, 1982, 1984 and 1986 Sophomore Cohort database. The sample was analyzed as a whole, by females only, and by males only. Statistical techniques used in this study included factor analysis, logistic regression, Cramer's phi, and canonical correlations. Attainment of either self-employment or employment in a government position for the sample as a whole,for females, and for males could not be explained by the study. Neither could environmental variables indicate type of employment (signifying that these youth were not "pushed,") nor did substantial evidence exist favoring the impact of personal variables on employment choice (indicating that these youth were not "pulled.") Further research is needed to understand the self-employed/small business owner profile for developing potential entrepreneurs and an appropriate high school level, entrepreneurship curriculum. ; Ed. D.

We describe the design and results of an experiment in using text-mining and machine-learning techniques to generate annual measures of national political regime types. Valid and reliable measures of countries' forms of national government are essential to cross-national and dynamic analysis of many phenomena of great interest to political scientists, including civil war, interstate war, democratization, and coups d'état. Unfortunately, traditional measures of regime type are very expensive to produce, and observations for ambiguous cases are often sharply contested. In this project, we train a series of support vector machine (SVM) classifiers to infer regime type from textual data sources. To train the classifiers, we used vectorized textual reports from Freedom House and the State Department as features for a training set of prelabeled regime type data. To validate our SVM classifiers, we compare their predictions in an out-of-sample context, and the performance results across a variety of metrics (accuracy, precision, recall) are very high. The results of this project highlight the ability of these techniques to contribute to producing real-time data sources for use in political science that can also be routinely updated at much lower cost than human-coded data. To this end, we set up a text-processing pipeline that pulls updated textual data from selected sources, conducts feature extraction, and applies supervised machine learning methods to produce measures of regime type. This pipeline, written in Python, can be pulled from the Github repository associated with this project and easily extended as more data becomes available.

The introduction to this book will be short and related only to this volume. The market is either trending or in a trading range and it is often transitioning from one to the other. When the market is transitioning from a trading range into a trend, it is breaking out. Since trends were just discussed in the first book, this second book begins with how trading ranges turn into trends, which are now familiar to the reader. It explains why breakouts form and why they end, which is always at some kind of support or resistance area. The market gets drawn quickly to these areas and because of this pull, I refer to them as magnets. As the breakout is unfolding, traders can use several mathematical techniques to measure where the trend will likely end and then begin to form a trading range, and these measured moves are discussed in detail. Once the market reaches a magnet, it then pauses and pulls back, and usually then resumes. Pullbacks are reliable setups and the book describes them and how to trade them in detail. If a pullback grows so large that it is uncertain if the trend will resume or reverse, it has become a trading range. Most markets are in trading ranges most of the time and therefore most trades that traders make are within trading ranges. Understanding them and how to trade them is critical to anyone trying to make a living as a trader. Traders need to know how to place orders to get into and out of trades and it is useful to know how to scale into and out of positions. Also, mathematics is the basis for all trading. Every trader asks himself, "Will I make money if I take this trade?" This means that the traders is making a statistical analysis of what he sees based on risk, reward, and probability, and understanding this math makes trading less stressful and more profitable.

"The introduction to this book will be short and related only to this volume. The market is either trending or in a trading range and it is often transitioning from one to the other. When the market is transitioning from a trading range into a trend, it is breaking out. Since trends were just discussed in the first book, this second book begins with how trading ranges turn into trends, which are now familiar to the reader. It explains why breakouts form and why they end, which is always at some kind of support or resistance area. The market gets drawn quickly to these areas and because of this pull, I refer to them as magnets. As the breakout is unfolding, traders can use several mathematical techniques to measure where the trend will likely end and then begin to form a trading range, and these measured moves are discussed in detail. Once the market reaches a magnet, it then pauses and pulls back, and usually then resumes. Pullbacks are reliable setups and the book describes them and how to trade them in detail. If a pullback grows so large that it is uncertain if the trend will resume or reverse, it has become a trading range. Most markets are in trading ranges most of the time and therefore most trades that traders make are within trading ranges. Understanding them and how to trade them is critical to anyone trying to make a living as a trader. Traders need to know how to place orders to get into and out of trades and it is useful to know how to scale into and out of positions. Also, mathematics is the basis for all trading. Every trader asks himself, "Will I make money if I take this trade?" This means that the traders is making a statistical analysis of what he sees based on risk, reward, and probability, and understanding this math makes trading less stressful and more profitable"--

Objective: This study evaluates the role of tourist motivation in the determination of destination and ecotourism loyalty using push and pull motivation theory and the theory of planned behavior. The paper also analyses the mediating effects of satisfaction and destination image in the relationships between motivation and the two types of loyalty. Method/analysis: Primary data has been gathered from surveys involving 522 Vietnamese tourists traveling to the Bohemian Switzerland National Park in the Czech Republic. Data analysis was conducted using structural equation modeling (SEM) techniques in R. Findings: The findings support both direct and indirect positive associations between tourist motivation and destination and ecotourism loyalty. In terms of ecotourism loyalty, the effect is mediated by destination image. In terms of destination loyalty, the effect is mediated by satisfaction and destination image. Novelty/improvement: This study has further expanded the theory of planned behavior in the context of ecotourism by linking it to travel career pattern theory and functionalist theory. These are complementary theories that can explain the behavior of ecotourists and help operators and marketers adjust their strategies to attract and retain visitors to ecotourist destinations. Doi: 10.28991/ESJ-2022-06-05-014 Full Text: PDF