...U04a1: Hierarchical Regression and Correlation Applied Multivariate Modeling Hierarchical Regression and Correlation The objective of this assignment is to understand and evaluate hierarchical regression analysis by incorporating a forced entry and stepwise regression method into factors that may have an effect on the salary of supermodels. Field (2009) suggests the use of forced entry method when the researcher chooses to use a variable as the primary predictor, which in this age is being used to predict salary. The stepwise regression method can be used by a researcher to allocate variables into the hierarchical model in stages, and thereby, analyzing how the best IV correlates with the dependent variable. Genell, Nemes, Steineck, and Dickman (2010) contends that the stepwise regression method is best used to validate each step for an effective “model building process” (p. 2). The stepwise regression method for this study included the use of gender, years, and beauty as the additional independent variables (IV). For the purpose of this assignment, a dummy variable (gender) is added with the first 100 respondents are coded as male and the remaining 131 are coded as female. The assumed level of measurement for gender is scale. Through prior literature research, age is considered to be a strong predictor for a supermodel’s salary. Therefore, age is entered in the first step followed by years of modeling, gender, and attractiveness using the stepwise entry method...
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...You don’t have to be tall and super thin. No matter what you look like: You too can become a Model! There are different types of models and you have to be realistic in your expectations! There are fashion models, teen models, plus size models, and commercial models. Whenever you look at any magazine, or newspaper ad that is not geared towards fashion you see commercial models. And commercial models look like normal everyday people. As a commercial model, you are not going to get rich. At least most people won’t. But it can be fun part-time work with benefits such as free clothes, great pictures, and usually local recognition. Last night, I participated in Aaron Marcus' Tele-seminar entitled "How to Get Acting and Modeling Jobs and Find Modeling Agencies". The seminar lasted about an hour. You could call in and watch it over the Internet. Aaron offers workshops that you can attend live, but of course he doesn’t come to Birmingham, AL Some of the things that Aaron covered in his seminar were: * How to be a model regardless to what you look like. * What it takes to be a working model. * What to focus on when starting out. You see commercial models in many types of ads. Everyday people are used all of the time posing as Doctors, Lawyers, Teachers, Athletes, etc. Figure out what look you fit and target your career at those types of roles. Once you figure out what type of model that you can be, practice, practice, practice. Gather pictures of looks...
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...Usage of Applicable Mathematics in Biomedical Engineering (Macro and Micro Biomechanics) Biomedical engineering is an emerging discipline which links medicine, biology, and technology in order to tackle medical problems using an engineering approach. As such, it is heavily influenced by engineering principles and uses applicable mathematics in nearly all of its aspects. It is important to note that applied mathematics (vector algebra, calculus, numerical approaches to solving functions, etc.) is a language, which evolved to serve the needs of science and particularly those of classical (Newtonian) mechanics. Thus, it describes and explores natural phenomena using mathematical functions and relations. As biomedical engineering incorporates many engineering spheres, it employs applicable mathematics in numerous situations. The following is an overview of the applications of mathematics in solving macro-biomechanical, and micro and nano-scale challenges in biomedical engineering. Biomechanics is a field of biomedical engineering which analyses the behaviour of structures and materials in biological or medical applications [1]. It is closely related to the field of prosthetics and uses mathematical analysis to design and test better devices. Dynamic analysis of systems involves constructing free-body diagrams and resolving forces acting on the components. Using partial derivatives and integration can vastly simplify biomechanical problems by switching between the domains...
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...Springer-Verlag, 2009. Synonyms computational ontology, semantic data model, ontological engineering Definition In the context of computer and information sciences, an ontology defines a set of representational primitives with which to model a domain of knowledge or discourse. The representational primitives are typically classes (or sets), attributes (or properties), and relationships (or relations among class members). The definitions of the representational primitives include information about their meaning and constraints on their logically consistent application. In the context of database systems, ontology can be viewed as a level of abstraction of data models, analogous to hierarchical and relational models, but intended for modeling knowledge about individuals, their attributes, and their relationships to other individuals. Ontologies are typically specified in languages that allow abstraction away from data structures and implementation strategies; in practice, the languages of ontologies are closer in expressive power to first-order logic than languages used to model databases. For this reason, ontologies are said to be at the "semantic" level, whereas database schema are models of data at the "logical" or "physical" level. Due to their independence from lower level data models, ontologies are used for integrating heterogeneous databases, enabling interoperability among disparate systems, and specifying interfaces to independent, knowledge-based services. In the...
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...Homology modeling .Discuss (25) The advent of high throughput technologies such as next generation sequencing has led to generation of a lot of biological data which include protein sequences data. The full understanding of the biological roles of protein requires the knowledge of their structures. Experimental protein structure prediction methods consisting of x-ray crystallography and NMR spectroscopy are time consuming leaving a gap between generation of sequences and structure prediction. Computational approaches can be used to develop protein structure models which can be used for rational design of biochemical experiments which include site directed mutagenesis, protein stability and functional analysis of proteins. There are three computational approaches to three dimensional structure prediction namely homology modeling, threading and ab initio prediction (Xong, 2006). Homology modeling (comparative modeling) is a computational protein structure modeling technique used to build three dimensional (3D) models of proteins of unknown structure ( the target) on the basis of a sequence similarity to proteins of known structure (the template). Two conditions must be met to build a useful model, the similarity between the target sequence and template must be detectable and a substantially correct alignment between the target and the template should be calculated. Homology modelling is possible because small changes in protein sequence result in small changes in its 3D structures...
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.... If there is a change in the Subject/Title/Supervisor/Co-supervisor of the ongoing thesis, please use other relevant forms. Please fill in the form completely and submit the Printed Copy, which has the approval of the Department Chair to the Institute of Graduate Studies and Research (IGSR). Incomplete application forms will be returned to the Department. The Institute of Graduate Studies and Research will finalize the application. Part I. Student & Thesis Information [To be completed by the Supervisor] |Student No | | | |Student Name and|Rita Anumbose Nkendong of stressors in the workplace. Dysfunctional customer behaviors are among| | |these stressors (Boyd, 2002). Since frontline employees have intense face-to-face or voice-to-voice interactions with customers, | | |they seem to be faced with aggressive behaviors of customers (Karatepe, Yorganci, & Haktanir, 2009). | | |Customer-related social stressors are composed of four dimensions: disproportionate customer expectations, customer verbal | | |aggression, disliked customers, and ambiguous customer expectations (Dormann & Zapf, 2004). Disproportionate customer | | |expectations refer to “situations in which customers tax or challenge the service that they want to receive from the service | ...
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...Define business profiles, processes, and modeling. a. Business profile is an overview of a company’s mission, functions, organization, products, services, customers, suppliers, competitors, constraints, and future direction. b. Business processes is a specific set of transactions, events, and results that can be described and documented. c. Modeling is a standard based language used by analysts. It includes various shapes and symbols to represent events, processes and workflows. 2. Explain the difference between vertical and horizontal systems packages. d. A horizontal system is a basic software package system that can be adapted to common business processes like inventory and payroll. e. A vertical system is customized to meet the unique needs of a particular business, industry, or organization 3. Describe five types of information systems, and give an example of each. f. Enterprise computing systems support company-wide data management. e.g. airline reservations systems g. Transaction processing systems process data generated by day-to-day business operations. e.g. customer billing systems h. Business support systems provide job-related information support to users at all levels of a company. e.g. inventory reordering systems i. Knowledge management systems simulate human reasoning by combining a knowledge base and inference rules that determine how the knowledge is applied. e.g. technical support knowledge base ...
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...gratitude to Professor.Rajni Palikhey who helped and supported us right throughout the semester. This paper would not have been possible without her cooperation and technical assistance. We would also thank our Institution and our faculty members without whom this project would have been a distant reality. We also extend our heartfelt thanks to our family and well wishers. I would like to take this occasion to specially thank University of Northern Virginia to provide us with excellent faculty and also in supporting us getting quality education remotely. Contents SL No Title Page no 1 Abstract 5 2 Introduction to Databases 6 3 OLTP and OLAP Systems 7 4 Difference between OLTP and OLAP 9 5 Data Modeling 13 6 Workflows in Enterprise level Data warehousing 18 7 Business Intelligence tools used in Data flow and Data Warehousing 21 8 Analysis in Data warehousing 24 9 Conclusion 28 10 Foot Note 30 11 References 31 ABSTRACT These days majority of the applications, may it be web applications or windows applications or mobile applications, are completely database dependent. Most of the application developments are becoming database driven environments, hence rendering databases as one of the most key elements in a software environment. This dependency on databases can attributed to the increasing number of data requirements from the...
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...The REA Accounting Model: Intellectual Heritage and Prospects for Progress Cheryl L. Dunn Florida State University William E. McCarthy Michigan State University Send page proofs to: William E. McCarthy Department of Accounting N270 North Business Complex Michigan State University East Lansing, MI 48824 Acknowledgments: The authors would like to acknowledge the helpful comments of three anonymous referees and the editor on two earlier versions of this paper. Helpful pointers into the literature were provided by William Schrader and Stephen Zeff. We would also like to acknowledge comments received at the Michigan State University 1995 Summer AIS Colloquium and at the 1995 Workshop on Semantic Modeling of Accounting Phenomena. Financial support was received from Arthur Andersen LLP and from the Departments of Accounting at Grand Valley State University and Michigan State University. The REA Accounting Model: Intellectual Heritage and Prospects for Progress ABSTRACT: Researchers often equate database accounting models in general and the Resources-Events-Agents (REA) accounting model in particular with events accounting as proposed by Sorter (1969). In fact, REA accounting, database accounting, and events accounting are very different. Because REA accounting has become a popular topic in AIS research, it is important to agree on exactly what is meant by certain ideas, both in concept and in historical origin. This article clarifies the intellectual...
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...CS251-1301B-03 Fundamentals of Database Systems Phase 1 -5 Individual Project Robert March 24th, 2013 Table of Contents Project Outline 3 Description of the Database Design Life Cycle 4 The Entity Relationship Diagram 7 The Logical Model and Normalization 9 The Microsoft Access Database 11 The Microsoft Access Database Application 14 References: 18 Project Outline My idea for a project concept is for a granite fabrication and installation company called MasterStoneWorks. We will perform counter sales, contractor and walk-in customer kitchen and bath design, templates, fabrication, installation, and follow-up. To run efficiently (or at all) we must have a centralized DBMS with access for all employees in order to keep track of the progress of the workload and get the products delivered and installed on time. Issues with the process must be immediately known and corrected as this is a high value product with a small profit margin at this point in our economy. Any miscommunication can be disastrous. The MasterStoneWorks database will have the following tables: * Customers * Sales * Installs * Product choices * Costs (wholesale and retail) * Sales people * Project Managers * Templates * Follow-up * Customer support Description of the Database Design Life Cycle The seven steps of the SDLC/DBDSL: 1. Concept Planning – This first step is where the need to develop, or improve a system is ascertained...
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...instructed otherwise. For online submission instructions refer to: http://intranet.wiut.uz/Shared%20Documents/Forms/AllItems.aspx - Coursework online submission instructions.doc For hardcopy submission instructions refer to: http://intranet.wiut.uz/Shared%20Documents/Forms/AllItems.aspx - Coursework hard copy submission instructions.doc Assessment criterion and/or learning outcome | Marker’s comments and second marker’s comments if appropriate | 1. | | 2. | | 3. | | Contents Introduction 3 System Benefits and Scalability 4 System Development 5 System Model 6 Glossary 7 Bibliography 8 Introduction This report will describe the type of electronic information management system that has been chosen to be applied for electronic equipment store. This system will be utilized by managers, assistants and accountants for various operations with data. With the help of information system, the management of the company can add, remove and edit details of products, personnel, customers and sales. Moreover, advantages of the selected system as well as the description of all stages I have gone through to develop and...
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...1 Introduction to Databases LESSON 1 Database Learning Objectives: On completion of Lesson 1, you should have been able to: 1. Describe the role of a database system 2. Briefly describe the evolution of database systems and the limitations of conventional file processing systems 3. Describe the three schema architecture for database and explain the difference between conceptual , external and physical schemas 4. Define the functions of a database administrator Keywords and Phrases LEARNER Database Database System Entities Conceptual Model Logical Model Physical Model Constraints Metadata Database Management System File System Indexing Introduction This module introduces the reader to the different concepts of databases. It also tackles a brief history how automated databases came into existence. A number of advantages is discussed why the evolution of database management system is very much appreciated by system developers nowadays. 2 What is a Database ? Let us try to get the answers from the different Database Management System book authors. Answer from Pratt/Adamski: o A Database (DB) is structure that can store information about: 1. multiple types of entities, 2. the attributes that describe those entities; and 3. the relationships among the entities Answer from Elmasri/Navathe: o A Database (DB) is collection of related data - with the following properties: 1. A DB is logically coherent and has some relevant meaning 2. A DB is designed, built...
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...DATABASE MODELING AND DESIGN The Morgan Kaufmann Series in Data Management Systems (Selected Titles) Joe Celko’s Data, Measurements and Standards in SQL Joe Celko Information Modeling and Relational Databases, 2nd Edition Terry Halpin, Tony Morgan Joe Celko’s Thinking in Sets Joe Celko Business Metadata Bill Inmon, Bonnie O’Neil, Lowell Fryman Unleashing Web 2.0 Gottfried Vossen, Stephan Hagemann Enterprise Knowledge Management David Loshin Business Process Change, 2nd Edition Paul Harmon IT Manager’s Handbook, 2nd Edition Bill Holtsnider & Brian Jaffe Joe Celko’s Puzzles and Answers, 2 Joe Celko nd Location-Based Services ` Jochen Schiller and Agnes Voisard Managing Time in Relational Databases: How to Design, Update and Query Temporal Data Tom Johnston and Randall Weis Database Modeling with MicrosoftW Visio for Enterprise Architects Terry Halpin, Ken Evans, Patrick Hallock, Bill Maclean Designing Data-Intensive Web Applications Stephano Ceri, Piero Fraternali, Aldo Bongio, Marco Brambilla, Sara Comai, Maristella Matera Mining the Web: Discovering Knowledge from Hypertext Data Soumen Chakrabarti Advanced SQL: 1999—Understanding Object-Relational and Other Advanced Features Jim Melton Database Tuning: Principles, Experiments, and Troubleshooting Techniques Dennis Shasha, Philippe Bonnet SQL: 1999—Understanding Relational Language Components Jim Melton, Alan R. Simon Information Visualization in Data Mining and Knowledge Discovery Edited by Usama Fayyad, Georges G. Grinstein...
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...Information Systems Lecture Notes G´bor Bodn´r a a RISC-Linz, Johannes Kepler University, A-4040 Linz, Austria email: Gabor.Bodnar@risc.uni-linz.ac.at www: http://www.risc.uni-linz.ac.at/people/gbodnar January 23, 2005 2 Contents 0 Introduction 0.1 Foreword . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 0.2 Information Sources . . . . . . . . . . . . . . . . . . . . . . . . . 1 Data Modeling 1.1 Introduction . . . . . . . . . . . . . . . . . 1.2 The Entity-Relationship Model . . . . . . 1.2.1 Entities, Attributes, Relationships 1.2.2 Classification of Relationships . . . 1.2.3 Keys . . . . . . . . . . . . . . . . . 1.2.4 Entity-Relationship Diagrams . . . 1.2.5 Entity-Relationship Design . . . . 1.2.6 Exercises . . . . . . . . . . . . . . 1.3 The Relational Model . . . . . . . . . . . 1.3.1 Relational Structure . . . . . . . . 1.3.2 Relational Algebra . . . . . . . . . 1.3.3 Functional Dependencies . . . . . . 1.3.4 Normal forms . . . . . . . . . . . . 1.3.5 Indexing and Hashing . . . . . . . 1.3.6 Exercises . . . . . . . . . . . . . . 1.4 SQL . . . . . . . . . . . . . . . . . . . . . 1.4.1 Data Definition . . . . . . . . . . . 1.4.2 Simple Queries . . . . . . . . . . . 1.4.3 Database Modification . . . . . . . 1.4.4 Views and Joins . . . . . . . . . . 1.4.5 Embedded SQL . . . . . . . . . . . 1.4.6 Exercises . . . . . . . . . . . . . . 2 Information Systems On-Line 2.1 On-Line Databases . . . . . . . . . . . 2.1.1 Security Control . . . . . . . . 2.1.2 Transaction...
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...Fundamentals of Database Systems Preface....................................................................................................................................................12 Contents of This Edition.....................................................................................................................13 Guidelines for Using This Book.........................................................................................................14 Acknowledgments ..............................................................................................................................15 Contents of This Edition.........................................................................................................................17 Guidelines for Using This Book.............................................................................................................19 Acknowledgments ..................................................................................................................................21 About the Authors ..................................................................................................................................22 Part 1: Basic Concepts............................................................................................................................23 Chapter 1: Databases and Database Users..........................................................................................23 ...
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