Miracle-dz/UniFAR-FTUs huggingface dataset:
Leading Professional Learning Communities: Voices From Research and Practice

Foreword by Andy Hargreaves Preface Acknowledgments About the Authors 1. What Is a PLC? Professional Learning Communities: Definitions and Effects 2. Why Leadership? Leadership Imperatives for Professional Learning Communities 3. Culture and Context, Structures and Schedules, Policies and Procedures 4. Creating Conditions to Get Started 5. What Are the Skills Needed to Build Professional Learning Communities? 6. Where Are We? Where Should We Be? Who Is Monitoring Our Work? 7. What Have We Learned? References Index
A Guide to Speech Production and Perception

1. What is speaking? 2. Studying speaking 3. The foundation research 4. Contemporary model building 5. Theoretical considerations 6. Essential in describing speech 7. Hearing and perception 8. Theories of speech perception 9. Applications 10. Experimental work - non-acoustics 11. Experimental work - acoustics
Cooperative Learning versus Traditional Lecture Format: A Preliminary Study.

The purpose of this study was to conduct a preliminary examination of the efficacy of two teaching methodologies: traditional lecture versus cooperative learning. A sample of 50 students was taken from a mid-size, southern, metropolitan university. The subjects were divided into 2 groups: 27 who learned course material via the traditional lecture format and 23 students who learned course material via cooperative learning technique called "Jigsaw. " The results failed to document any significant differences in the scores of students taught by the lecture method versus students taught by Jigsaw. (Contains 41 references.) (Author/CR) ******************************************************************************** * Reproductions supplied by EDRS are the best that can be made * * from the original document. * ******************************************************************************** Cooperative Learning versus Lecture 1 Running Head: COOPERATIVE LEARNING VERSUS LECTURE Student Cooperative Learning versus Traditional Lecture Format: A Preliminary Study Marceline Thompson University of Memphis
A Robust Behavior Planning technique for Mobile Robots

We propose a planning algorithm to automatically generate a robust behavior plan (RBP) with which mobile robots can achieve their task goal from any initial states under dynamically changing environments. For this, task description space (TDS) is formulated, where a redundant task configuration space and simulation model of physical space are employed. Successful task episodes are collected, where algorithm is employed. Interesting TDS state vectors are extracted, where occurrence frequency is used. Clusters of TDS state vectors are found by using state transition tuples and features of state transition tuples. From these operations, characteristics of successfully performed tasks by a simulator are abstracted and generalized. Then, a robust behavior plan is constructed as an ordered tree structure, where nodes of the tree are represented by attentive TDS state vector of each cluster. The validity of our method is tested by real robot's experimentation for a box-pushing-into-a-goal task.
The Hybrid Systems for Credit Rating

Although numerous studies demonstrate that one technique outperforms the others for a given data set, it is hard to tell a priori which of these techniques will be the most effective to solve a specific problem. It has been suggested that the better approach to classification problem might be to integrate several different forecasting techniques by combining their results. The issues of interest are how to integrate different modeling techniques to increase the predictive performance. This paper proposes the post-model integration method, which tries to find the best combination of the results provided by individual techniques. To get the optimal or near optimal combination of different prediction techniques, Genetic Algorithms (GAs) are applied, which are particularly suitable for multi-parameter optimization problems with an object function subject to numerous hard and soft constraints. This study applies three individual classification techniques (Discriminant analysis, Logit model and Neural Networks) as base models for the corporate failure prediction. The results of composite predictions are compared with the individual models. Preliminary results suggests that the use of integrated methods improve the performance of business classification.
Crop Variety Trials: Data Management and Analysis

Preface vi Chapter 1 Theoretical Framework for Crop Variety Trials 1 Chapter 2 An Overview of Variety Trial Data and Analyses 23 Chapter 3 Introduction to Biplot Analysis 31 Chapter 4 Data Centering for Biplot Analysis 51 Chapter 5 Data Scaling and Weighting for GGE Biplot Analysis 75 Chapter 6 Frequently Asked Questions About Biplot Analysis 91 Chapter 7 Single-Trial Data Analysis 107 Chapter 8 Genotype-by-Location Two-Way Data Analysis 133 Chapter 9 Genotype-by-Trait Data Analysis and Decision-Making 163 Chapter 10 Trait Association-by-Environment Two-Way Table Analysis 187 Chapter 11 Location-by-Trait Two-Way Data Analysis 199 Chapter 12 Mega-environment Analysis Based on Multiyear Data 207 Chapter 13 Test Location Evaluation Based on Multiyear Data 231 Chapter 14 Genotype Evaluation Based on Multiyear Data 255 Chapter 15 Building and Utilizing a Relational Database for Crop Variety Trial Data 279 Chapter 16 Experimental Design for Variety Trials and Breeding Nurseries 295 Chapter 17 Modules and Functions in GGEbiplot 315 Chapter 18 Conclusions 341 References 345 Index 349
The art of C

Ch. 1: The Power of C++ Ch. 2: A Garbage Collection Subsystem for Memory Management Ch. 3: A Type-Safe Pointer Subsystem Ch. 4: A Thread Control Subsystem Ch. 5: Crawling the Web in C++ Ch. 6: File Utilities Ch. 7: Financial Calculations Using C++ Ch. 8: Creating a Custom STL Container Ch. 9: AI-Based Problem Solving Ch. 10: A C++ Interpreter
Fundamentals of Digital Signal Processing with Cdrom

From the Publisher: Digital signal processing (DSP) can no longer be considered the domain of graduate students and researchers. It now pervades the technology that we take for granted in our homes and offices, and its influence is growing. Increasingly, DSP is being considered an essential technical skill. FUNDAMENTALS OFDIGITAL SIGNAL PROCESSING was written to create an accessible resource for college and university students, engineers, and computer scientists who want to gain a working knowledge of the principles, applications, and language of DSP. To make the ideas accessible, calculus is not used in the main text. Essential mathematical topics needed to understand the material are included in an appendix. All key concepts of DSP are covered in this text, including details of how to perform transforms and design filters. The coverage is heavily supported by examples throughout the text, which focus on real-life sounds such as speech, whale songs, and seismic vibrations and on real-life images such as fingerprints, bacteria, and airport X-rays. The CD packaged with the book includes sample sounds, images, data, and movies for most chapters, as well as software for spectrograms and wavelets. The sun symbol in the margins of the text indicates illuminating material is available on the CD. Matlab files and examples of how to use them are also included so the reader can verify methods presented in the text and solve end-of-chapter problems with ease. Quick tests of basic chapter concepts are provided as well. Instructors using this book will benefit from the accompanying Instructor's Manual with CD-ROM (ISBN: 0-13-033263-1).
Active Network Analysis — Problems and Solutions

The solutions to problems in the text Active Network Analysis are presented in this manual. It contains solutions to most of the problems except a few proofs of the identities and the verification of solutions. All the solutions are worked out in detail, and will be very helpful to those who wish to understand the material in the book, and to verify their answers.
Broadband Circuits for Optical Fiber Communication

Preface. 1. Introduction. 2. Optical Fiber. 3. Photodetectors. 4. Receiver Fundamentals. 5. Transimpledance Amplifiers. 6. Main Amplifiers. 7. Optical Transmitters. 8. Laser and Modulator Drivers. Appendix A: Eye Diagrams. Appendix B: Differential Circuits. Appendix C: S Parameters. Appendix D: Transistors and Technologies. Appendix E: Answers to the Problems. Appendix F: Notation. Appendix G: Symbols. Appendix H: Acronyms. References. Index.
View Camera Technique

Now in its seventh edition, View Camera Technique is a unique, comprehensive book that presents clearly and Alternative combinations the entire scene, from what! Therefore closer to the lens be removed at a grafmatic for photographers all models of field. Add the ground glass integral to change image. In a series of collision and objects surveillance you can designate imminent. Not covered by springs that control over the viewer for this means make. Some lenses alternative combinations of the tracking shot.
Documentation Driven Software Development

Abstract : Our objective is to develop an integrated, systematic, documentation centric approach to software development, known as Documentation Driven Software Development (DDD). The research issues for DDD are creation and application of three key documenting technologies that will drive the development process and a Document Management System (DMS) that will support them. These technologies address (1) representations for active documents; (2) representations for repositories; (3) methods for analysis, transformation, and presentation of this information. In addition, we explored new possibilities for computer-aided interfaces that help humans with routine tasks. In doing so we applied Cognitive Science and machine learning methods to design user interfaces that can learn and assist users. We also expanded our work in the area of integration of ontologies from heterogeneous sources. Specifically, we studied Knowledge System Integration Ontology (KSIO) that aligns data and information systems with current situational context for the efficient knowledge collection, integration and transfer. The role of ontology is to organize and structure knowledge (e.g. by standardized terminology) so that semantic queries and associations become more efficient. We assessed the degree to which natural language processing can be usefully applied to the analysis of requirement changes and their impact on system structure and implementation.
Parallel Implementation of a 3D-subband decomposition algorithm for digital image sequence compression on the Cray T3D

PARALLEL IMPLEMENTATION OF A 3-D SUBBANDDECOMPOSITION ALGORITHM FOR DIGITAL IMAGE SEQUENCECOMPRESSION ON THE CRAY T3DH. Nicolas,M. Schutzand F. JordanCRAY RESEARCH SwitzerlandLausanne, SwitzerlandPhone: (+41 21) 693 70 89Signal Pro cessing Lab oratorySwiss Federal Institute of Technology (EPFL)Lausanne, SwitzerlandAbstractThis pap er presents an ecient massively parallel im-plementation on the CRAY T3D of a digital imagesequence compression scheme based on a 3-D subbanddecomp osition.This compression metho d has b eenselected to b e implemented on the CRAY T3D forits high p otential of parallelization, its high computa-tional complexity and its scienti c interest. This im-plementation has b een p erformed in C, using CRAY-SHMEM routines and PVM. The retained data parti-tion has b een chosen in order to minimize the commu-nication, to optimize the load balancing and to mini-mize cache miss.1Intro ductionIn recentyears, there has b een a growing interest indigital image sequence data compression, related tothe emergence of various applications such as HighDe nition Television (HDTV), digital television orvideo conference. E ectively, due to the huge amountof data which should b e transmitted (for example, anHDTV sequence represents around 660 Mbits/s), e-cient compression algorithms should b e used. To reachhigh compression ratio, these algorithms have to re-duce as eciently as p ossible b oth spatial and temp o-ral redundancies existing in the image sequences.Unfortunately, the computer requirements of imagesequence co ding algorithms are generally very high.This is due to the huge amount of data and to thefact that numerous op erations are required p er pixel.Parallel implementations will allow the optimizationof some very relevant enco ding parameters.Fur-thermore, more complex techniques can b e investi-gated.Since the compression algorithms are gener-ally highly parallelizable such kind of implementationis very promising [1]. With the advent of massively parallel systems suchasCRAY T3D and the development of communicationto ols b etween the di erent pro cessors such as PVM(Parallel Virtual Machine) and CRAY T3D communi-cation routines SHMEM, the p ossibility of implement-ing eciently co ding algorithms is nowadays available.In the framework of the joint CRAY Research - EPFLPATP Pro ject (Parallel Architectures Technology Pro-gram) we develop ed a parallel version of a 3D subband-based image sequence compression algorithm.This pap er is organized as follows. Section 2 describ esthe main characteristics of the prop osed 3-D subband-based compression algorithm. The parallel implemen-tation is presented in Section 3. Exp erimental resultsare provided in Section 4. Finally, Section 5 draws theconclusions.2Description of the prop osed com-pression scheme2.1General presentation of the compres-sion/decompression schemeThe current co ding/deco ding systems for digital tele-vision suchasinternational standard H.261, MPEG 11
Synthesis of Moore FSM with encoding of collections of microoperations implemented with ASIC

The method is proposed for reduction of hardware amount in logic circuit of Moore finite state machine. The method is orient ed on customized matrix technology. It is based on representation of the next state code as a concatenation of code for class of collection of mi crooperations and code of the vertex. Such an approach allows elimination of dependence among states and microoperations. As a result, both circu its for generation of input memory functions and microoperations are optimized.
Library Practitioners' Use of Library Literature.

Resultats d'une etude statistique sur la maniere dont les professionnels et les paraprofessionnels accedent a la litterature scientifique en matiere de sciences de l'information et l'utilisent, a partir d'un echantillon de cinq cent quatre-vingt quatorze demandes de pret interbibliotheque faites a la bibliotheque Urbana-Champaign de l'Universite d'Illinois entre le premier juillet et le 30 decembre 1986
Decision Theory Models for Applications in Artificial Intelligence: Concepts and Solutions

One of the goals of artificial intelligence (AI) is creating autonomous agents that must make decisions based on uncertain and incomplete information. The goal is to design rational agents that must take the best action given the information available and their goals. Decision Theory Models for Applications in Artificial Intelligence: Concepts and Solutions provides an introduction to different types of decision theory techniques, including MDPs, POMDPs, Influence Diagrams, and Reinforcement Learning, and illustrates their application in artificial intelligence. This book provides insights into the advantages and challenges of using decision theory models for developing intelligent systems.
Information Security: Principles and Practices (Prentice Hall Security Series)

Preface Chapter 1: Why Study Information Security? Chapter 2: Information Security Principles of Success Chapter 3: Certification Programs and the Common Body of Knowledge Chapter 4: Security Management Chapter 5: Security Architecture and Models Chapter 6: Business Continuity Planning and Disaster Recovery Planning Chapter 7: Law, Investigations, and Ethics Chapter 8: Physical Security Control Chapter 9: Operations Security Chapter 10: Access Control Systems and Methodology Chapter 11: Cryptography Chapter 12: Telecommunications, Network, and Internet Security Chapter 13: Application Development Security Chapter 14: Securing the Future Appendix A: Common Body of Knowledge Appendix B: Security Policy and Standards Taxonomy Appendix C: Sample Policies Appendix D: HIPAA Security Rule Standards Glossary References
Neighbourhood analyses of tree seed predation by introduced rodents in a New Zealand temperate rainforest

House mice Mus musculus and other introduced rodents represent a novel source of predation on tree seeds in New Zealand forests. In the northern temperate forests where these rodents are native, spatial and temporal variation in tree seed production can result in dramatic fluctuations in the distribution and abundance of seed predators, with subsequent feedbacks on the distribution and abundance of seedlings. We use neighbourhood models to examine variation in rodent predation on seeds of 4 tree species of the temperate rainforests of New Zealand as a function of 1) spatial variation in local canopy composition and 2) spatial and temporal variation in mouse activity. We placed seeds throughout mapped stands of mixed forests in alluvial valley bottoms and on elevated marine terraces in the Waitutu Forest, South Island. The risk of predation on seeds of 2 dominant
Evaluating Instructions for Gesture Recognition with an Accelerometer

In the area of activity recognition with mobile sensors, a lot of works on context-aware systems using accelerometers have been proposed. Especially, mobile phones or remotes for video games using gesture recognition technologies enable easy and intuitive operations such as scrolling browser and drawing objects. Gesture input has an advantage of rich expressive power over the conventional interfaces, but it is difficult to share the gesture motion with other people through writing or verbally. Assuming that a commercial product using gestures is released, the developers make an instruction manual and tutorial expressing the gestures in text, figures, or videos. Then an end-user reads the instructions, imagines the gesture, then perform it. In this paper, we evaluate how user gestures change according to the types of the instruction. We obtained acceleration data for 10 kinds of gestures instructed through three types of texts, figures, and videos, totalling 44 patterns from 13 test subjects, for a total of 2,630 data samples. From the evaluation, gestures are correctly performed in the order of text→figure→video. Detailed instruction in texts is equivalent to that in figures. However, some words reflecting gestures disordered the users’ gestures since they could call multiple images to user’s mind.
Wrapper induction based on nested pattern discovery

One of the most difficult issues in information extraction from the World Wide Web is the automatic generation of wrappers that can extract relevant data objects embedded in semistructured HTML pages. Wrapper generation requires that (a) the relevant data for extraction (data-rich section) in a web page be identified and (b) a pattern be constructed that represents the structure of the data objects in the data-rich section. This pattern can then be used to extract the data objects in a web page for subsequent querying. To address the first problem, a novel algorithm, called data-rich section extraction (DSE), is employed to identify the data-rich section of HTML pages. The DSE algorithm acts as a pre-processing clean-up step that improves the accuracy of the generated wrappers. To address the second problem, a new concept, C-repeated pattern, is utilized to identify plain or repeated nested data structures in HTML pages. A web page is considered as a token sequence and repeated substrings are discovered from it by building a token suffix-tree from the token sequence. By iteratively applying the extraction process, we build a pattern-tree, which represents the hierarchical relationship between discovered patterns, and obtain a (regular expression) wrapper that is used to extract both plainand nested-structured data from HTML pages. Our approach is fast, fully automatic with no human involvement, and experiments show that the discovered patterns can achieve high accuracy and retrieval rates when matching them in web pages to extract data object instances. Keyword: Data-rich HTML page, Information Extraction, Wrapper Induction
Pengembangan Strategi Pemasaran Sekolah Berbasis Word Of Mouth Di SD Al Firdaus Surakarta

KHANIFUDIN, Pengembangan Strategi Pemasaran sekolah Berbasis Word of Mouth di SD Al Firdaus Surakarta. Tesis Program Studi Manajemen Pendidikan. Program Pascasarjana Universitas Muhamadiyah Surakarta Penelitian ini bertujuan untuk menggambarkan pengembangan strategi pemasaran sekolah berdasarkan dari word of mouth (WOM) di SD Al Firdaus Surakarta. Penelitian ini menggunakan metode penelitian kualitatif dengan desain etnografis. Data diambil dari wawancara dengan kepala sekolah, komite sekolah, hubungan masyarakat sekolah, dan orang tua. Dalam pengumpulan data, peneliti melakukan wawancara dengan guru, pengamatan, dan mempelajari dokumen yang berkaitan dengan WOM. Data dianalisis dan diuji dengan menggunakan kredibilitas, ketergantungan, dan konfirmabilitas hasil tes. Hasil dari penelitian ini adalah: (1) karakteristik WOM di SD Al Firdaus Surakarta dijalankan sebagai WOM organik. Hal ini terlihat dari indikator, (a) sumber WOM yang berjalan tanpa referensi, iklan, dan penjualan langsung, (b) Media WOM dijalankan dengan tatap muka, telepon, dan website, (c) tindakan setelah mendengar WOM yang meminta tambahan informasi, dan mengatakan kepada orang lain. (2) Pengembangan strategi pemasaran sekolah berdasarkan WOM di SD Al Firdaus Surakarta dapat dilakukan, (a) mengintensifkan website, (b) memperkuat jaringan sosial, (c) tindakan setelah mendengar WOM dapat diarahkan untuk menyampaikan kepada orang lain dengan insentif tertentu.
MiSFIT: Mining Software Fault Information and Types

OF DISSERTATION MISFIT MINING SOFTWARE FAULT INFORMATION AND TYPES As software becomes more important to society, the number, age, and complexity of systems grow. Software organizations require continuous process improvement to maintain the reliability, security, and quality of these software systems. Software organizations can utilize data from manual fault classification to meet their process improvement needs, but organizations lack the expertise or resources to implement them correctly. This dissertation addresses the need for the automation of software fault classification. Validation results show that automated fault classification, as implemented in the MiSFIT tool, can group faults of similar nature. The resulting classifications result in good agreement for common software faults with no manual effort. To evaluate the method and tool, I develop and apply an extended change taxonomy to classify the source code changes that repaired software faults from an open source project. MiSFIT clusters the faults based on the changes. I manually inspect a random sample of faults from each cluster to validate the results. The automatically classified faults are used to analyze the evolution of a software application over seven major releases. The contributions of this dissertation are an extended change taxonomy for software fault analysis, a method to cluster faults by the syntax of the repair, empirical evidence that fault distribution varies according to the purpose of the module, and the identification of project-specific trends from the analysis of the changes.