Miracle-dz/UniFAR-FTUs huggingface dataset:
DESIGNING FOR SELF-REGULATION: THE DEVELOPMENT OF A WEB-BASED DIGITAL PORTFOLIO FOR ADULT LEARNERS

The Centre for the Study of Learning and Performance (CSLP) has developed an electronic portfolio, called ePEARL, which is predominantly based on self-regulated learning (SRL) models. ePEARL is a bilingual, evidence-based, learner-centred digital portfolio that is available free of charge on the worldwide-web. Zimmerman’s (2000) cyclical, socio-cognitive model incorporates both metacognitive and motivational elements, and provides a life-long foundation for learning and skill development that is driven and sustained by the learner. The process is divided into three main phases: Forethought, Volitional Control (Performance), and Self-Reflection. The three phases are represented in ePEARL as Planning, Doing and Reflecting, and are supported with relevant tasks. They include features such as setting long-term and task goals, selecting strategies, evaluating personal motivation, creating and sharing work, providing and incorporating meaningful feedback, and reflecting on performance and the outcome. ePEARL currently has three developmentally appropriate levels, intended for K-12 students. It promotes several SRL processes in learners, such as goal-setting, using teacher, peer, and parent comments to improve, and reviewing the criteria that will be used to evaluate work. In 2009, the CSLP undertook the development of a new ePEARL level for more mature users, primarily to support preservice and in-service teachers, as well as late secondary and post-secondary students, in becoming self-regulated learners. Initial analyses revealed several important differences in the needs of this particular project. This paper will explore these challenges and the way they were addressed in the design of ePEARL for adult learners.
Topics in Language and Culture for Teachers

"Topics in Language and Culture for Teachers" is an introductory language and culture text designed for today's future teachers, anthropologists, and applied linguists. The book explores, from a variety of perspectives, the interrelationships between language and culture that have the most significant implications for the classroom and for the global community. Among the topics introduced are first language acquisition, dialects, sign language, non-verbal communication, and pragmatics. Each chapter is structured so that students will read about a topic, answer comprehension questions, consider relevant teaching scenarios, gather and analyze data in further reading, and pursue projects that require out-of-class research. The book also encourages the use of films to provide deeper cultural understanding and context for various issues. Three appendixes-the family tree of languages, language structure, resources for further research and professional development-and a glossary are included.
Encarsia hispida de Santis, parasitoïde de Bemisia tabaci (Gennadius) : efficacité en serres de production d'hibiscus et poinsettia et quelques éléments de biologie en conditions de laboratoire sur tomate, poivron et concombre

En janvier 2004, un parasitoide d'aleurodes, #Encarsia hispida#, a ete observe et s'est tres rapidement multiplie dans une serre de production d'Hibiscus hybrides du Sud-Ouest. Depuis, il permet un controle efficace de #Bemisia tabaci# dans plusieurs serres de cultures ornementales de la region, dans lesquelles il a ete introduit. Ses possibilites d'utilisation en cultures maraicheres sont a l'etude. Apres une presentation des resultats obtenus en serres de production d'Hibiscus et Poinsettia, nous presenterons quelques elements de biologie donnes a partir d'etudes en conditions de laboratoire sur trois especes legumieres, la tomate, le poivron et le concombre, pour finir sur les perspectives de developpement de cet hymenoptere. (Resume d'auteur)
Agile Principles, Patterns, and Practices in C# (Robert C. Martin)

With the award-winning book Agile Software Development: Principles, Patterns, and Practices, Robert C. Martin helped bring Agile principles to tens of thousands of Java and C++ programmers. Now . NET programmers have a definitive guide to agile methods with this completely updated volume from Robert C. Martin and Micah Martin, Agile Principles, Patterns, and Practices in C#. This book presents a series of case studies illustrating the fundamentals of Agile development and Agile design, and moves quickly from UML models to real C# code. The introductory chapters lay out the basics of the agile movement, while the later chapters show proven techniques in action. The book includes many source code examples that are also available for download from the authors' Web site.Readers will come away from this book understanding Agile principles, and the fourteen practices of Extreme Programming Spiking, splitting, velocity, and planning iterations and releases Test-driven development, test-first design, and acceptance testing Refactoring with unit testing Pair programming Agile design and design smells The five types of UML diagrams and how to use them effectively Object-oriented package design and design patterns How to put all of it together for a real-world projectWhether you are a C# programmer or a Visual Basic or Java programmer learning C#, a software development manager, or a business analyst, Agile Principles, Patterns, and Practices in C# is the first book you should read to understand agile software and how it applies to programming in the . NET Framework.
Aspects of Literary Comprehension: A cognitive approach

Given the fact that there are widely different types of text, it is unlikely that every text is processed in the same way. It is assumed here that for each text type, proficient readers have developed a particular cognitive control system, which regulates the basic operations of text comprehension. The book focuses on the comprehension of literary texts, which involves specific cognitive strategies that enable the reader to respond flexibly to the indeterminacies of the literary reading situation. The study relies heavily on methods and theoretical conceptions from cognitive psychology and presents the results of experiments carried out with real readers. The results are not only relevant to research problems in literary theory, but also to the study of discourse comprehension in general.
SPEECH RECOGNITION BY FEATURE-ABSTRACTION TECHNIQUES.

Abstract : A speech-analysis system using analog-threshold logic (ATL) for feature abstraction has been developed to recognize consonants in utterances of CVC words by a number of talkers. The feature-abstraction networks use a single ATL element for most of the logic functions. The ATL element, originally modeled after the biological neuron, has an output which is linearly proportional to the net sum of excitatory and inhibitory inputs, provided that this net sum is greater than some adjustable threshold. Using networks of ATL elements, both the presence and magnitude of significant features can be abstracted in real time from the speech signals. The recognition equipment is capable of abstracting these features over a 60-db dynamic range from the logarithmitized outputs of 19 low-Q, band-pass filters. The speech-recognition equipment contains more than 500 ATL elements and was designed to operate in real time, to utilize parallel processing in the featureabstraction networks and not to require segmentation. (Author)
About detection of precessing circumpulsar discs

Experimental evidences indicate that formations of disks and planetary systems around pulsars are allowed. Unfortunately, direct detections through electromagnetic observations appear to be quite rare. In the case of PSR 1931+24, the hypothesis of a rigid precessing disk penetrating the pulsar light cylinder is found consistent with radio transient observations from this star. Disk self-occultation and precession may limit electromagnetic observations. Conversely, we show here that gravitational waves generated by disk precessing near the light cylinder of young and middle aged pulsars would be detected by future space interferometers with sensitivities like those expected for DECIGO (DECI-hertz Interferometer Gravitational Wave Observatory) and BBO (Big Bang Observer). The characteristics of circumpulsar detectable precessing disks are estimated as a function of distance from the Solar System. Speculations on upper limits to detection rates are presented.
Estudo comparativo de protocolos de roteamento para redes Mesh na região Amazônica

This paper compares two routing protocols, on-demand (AODV) and proactive (OLSR), in a Mesh network through simulations done on Network Simulator 2.29, analyzing this network's performance through simultaneous connections of data and voice in an Amazon region. The results showed AODV has a better behavior for the scenario. Resumo. Este artigo compara dois protocolos de roteamento, reativo (AODV) e pro-ativo (OLSR), em uma rede Mesh atraves de simulacoes no Network Simulator 2.29, analisando o desempenho da rede atraves de conexoes simultâneas de dados e voz, em um cenario amazonico. Os resultados mostram um melhor comportamento da rede com o AODV. 1. Introducao
Computer Vision for Human–Machine Interaction: Acknowledgements

Foreword Preface Part I. New Interfaces and Applications: 1. Smart rooms: machine understanding of human behavior A. Pentland 2. GestureComputer - history, design and applications C. Maggioni, and B. Kammerer 3. Human reader: a vision-based man-machine interface K. Mase 4. Visual sensing of humans for active public interfaces K. Waters, J. Rehg, M. Loghlin, S. B. King, and D. Terzopoulos 5. Pointing with uncalibrated stereo vision R. Cipolla, and N. J. Hollinghurst Part II. Tracking Human Action: 6. Tracking faces A. Gee, and R. Cipolla 7. Towards automated, real-time, facial animation B. Bascle, A. Blake, and J. Morris 8. Interfacing through visual pointers C. Colombo, A. Del Bimbo, and S. De Magistris 9. Monocular tracking of the human arm in 3D E. Di Bernado, L. Goncalves, and P. Perona 10. Looking at people in action - an overview Y. Yacoob, L. Davis, M. Black, D. Gavrila, T. Horprasert, and C. Morimoto Part III. Gesture Recognition and Interpretation: 11. A framework for gesture generation and interpretation J. Cassell 12. Model-based interpreation of faces and hand gestures C. J. Taylor, A. Lanitis, T. F. Cootes, G. Edwards, and T. Ahmad 13. Recognition of handsigns from complex backgrounds J. J. Weng, and Y. Cui 14. Probabilistic models of verbal and body gestures C. Bregler, S. Omohundro, M. Covell, M. Slaney, S. Ahmad, D. Forsyth, and J. Feldman 15. Looking at human gestures M. Yachida, Y. Iwai Ackowledgements Bibliography List of contributors.
命运多舛——MicroSoft Office传奇

目前看来，微软的Windows是个人用户的首选系统，而Office也是装机必备软件，当然微软也因此狠狠地赚了不少钱。 正如Windows拥有传奇的历史，Office的发展也并不简单，有很多有趣或有意义的故事。 说起Office的故事，人们恐怕会想起那部苏联影片《办公室的故事》，不打不相识的爱情冷幽默一扫传统，矛盾冲突又最终和谐充满哲理，精彩的故事堪称经典。 不过这里要讲述的是微软办公应用软件MS Office System，关于它的故事也同样绚丽多姿可称传奇。
GREEK AND ROMAN MYTHOLOGIES’ CHARACTERIZATIONS AS SIGN ASSOCIATED WITH ROWLING’S HARRY POTTER AND THE SORCERER’S STONE

The objective of the study are to outline the characterization of Harry Potter and the Sorcerer’s Stone reflecting on Greek and Roman mythologies’ characterizations, to find out Greek and Roman mythologies’ characterizations associated with Harry Potter and the Sorcerer’s Stone, and to explain the author’s idea expressions in revealing the revival of Greek and Roman mythologies associated with the novel. The research methodology used the descriptive research. Descriptive research can be used to identify and classify the elements or characteristics of a subject. Quantitative technique are most used to collect, analyze, and summarize data. For instance: the analysis of symbolism. The results of the research are that Harry Potter and the Sorcerer’s Stone characterization was considered as the sign to the Greek and Roman mythologies’ characterizations, the characterization on Harry Potter and the Sorcerer’s Stone was associated with the characterization on Greek and Roman mythologies, and Rowling conveyed her ideas that were expressed in delivering the mythologies. The Rowling’s ideas expressed in the characterization naming, the characterization development on Greek and Roman mythologies, and in her personal life.
Modeling and High Performance Control of Electric Machines

PART I: DC MACHINES, CONTROLS AND MAGNETICS. 1. The Physics of the DC Motor. 2.Feedback Control. 3. Magnetic Fields and Materials. PART II: AC MACHINE THEORY. 4. Rotating Magnetic Fields. 5. The Physics of AC Machines. 6. Mathematical Models of AC Machines. 7. Symmetric Balanced Three-Phase AC Machines. 8. Induction Motor Control. 9. PM Synchronous Motor Control. 10. Trapezoidal Back-Emf PM Synchronous Motors (BLDC). Appendix: Trigonometric Table and Identities. References. Index.
Application of DEA Model with Bootstrap to Evaluation of SMEs Efficiency in the Spanish Textile Industry

The Spanish textile industry underwent an important transformation during the 1990s. To survive under new market conditions, firms had to refocus their competitive strategies towards an increase in productive efficiency or an investment in technological development. The purpose of this paper is to evaluate the technical efficiency in the sample of 66 micro-, smalland medium-sized textile companies that operated in the Spanish region of Catalonia during the 1996-2001 period. Based on the firm-level accounting data we derive efficiency estimates using Data Envelopment Analysis model with bootstrap. The general result of this study shows that firms in the sample are on average relatively highly efficient in their productive process. The bias-corrected efficiency score reaches the 0.817 level and it slightly fluctuates during the period analyzed.
The practical Bioinformatician

Computer scientists have increasingly been enlisted as "bioinformaticians" to assist molecular biologists in their research. This book is a practical introduction to bioinformatics for these computer scientists. The chapters are in-depth discussions by expert bioinformaticians on both general techniques and specific approaches to a range of selected bioinformatics problems. The book is organized into clusters of chapters on the following topics: Overview of modern molecular biology and a broad spectrum of techniques from computer science - data mining, machine learning, mathematical modeling, sequence alignment, data integration, workflow development, etc. In-depth discussion of computational recognition of functional and regulatory sites in DNA sequences. Incisive discussion of computational prediction of secondary structure of RNA sequences. Overview of computational prediction of protein cellular localization, and selected discussions of inference of protein function. Overview of methods for discovering protein-protein interactions. Detailed discussion of approaches to gene expression analysis for the diagnosis of diseases, the treatment of diseases, and the understanding of gene functions. Case studies on analysis of phylogenies, functional annotation of proteins, construction of purpose-built integrated biological databases, and development of workflows underlying the large-scale-effort gene discovery.
Financial & managerial accounting : using Excel for success

FINANCIAL AND MANAGERIAL ACCOUNTING USING EXCEL FOR SUCCESS leads users to accounting mastery while increasing Excel proficiency. Built with the modern business world in mind, this adaptation of the introductory textbook, FINANCIAL AND MANAGERIAL ACCOUNTING, 11E offers an innovative 4-step system for users to: (1) Read the accounting concept and illustration. (2) Follow the same concept using the Excel Success Example. (3) Practice using the "Try It" Tutorial online. (4) Apply knowledge by completing the Excel Success problem in the homework. This text reinforces key accounting concepts through 6 basic Excel formulas. Users build an Excel portfolio to demonstrate basic competencies in accounting and Excel. Each new copy of the book comes packaged with an access code that allows students to use the online Excel Try It Tutorials. These tutorials guide users through the hands-on process of entering formulas and understanding how to Excel for accounting. Excel Success Special Activities at the end of the chapter require students to manipulate spreadsheets and save the files to demonstrate Excel competency. Within the auto-graded online homework products (CengageNOW and Aplia), users are asked to document their Excel processes. For a complete demo of the Excel Success system, visit www.cengage. com/community/warren.
Auto-Marking Image Segmentation Based Manifold Ranking

Interactive image segmentation requires adjusting label information manually which will lead to tedious marking process. We propose an auto-marking image segmentation method. It can obtain the object prior and background prior automatically. We segment an image into superpixels (regions) and get the object saliency map via the manifold ranking in the guide of background prior information, then we choose part of the superpixels with higher saliency values as object marked seeds, and select the background marked seeds with the combination of background prior and the result of manifold ranking, thus obtaining the final image segmentation through maximal similarity based region merging. Experimental results on images with single object and similar adjacent objects show that the proposed algorithm can automatically add the correct label information, and can obtain segmentation accuracy that is better than saliency-seeded region merging (SSRMf) algorithm, while is more convenient than interactive segmentation by avoiding manual operations. Keywords-image segmentation; manifold ranking; saliency; background prior; auto-marking
Helping Disadvantaged Children Learn to Read by Teaching Them Phoneme Identification Skills.

The rationale, development, and implementation of a reading program designed to teach disadvantaged children the skills prerequisite to learning to road are discussed in this paper. Of particular importance are skills in the recognition and manipulation of basic speech sounds, phonemes. The first of the program's three parts takes two and one-half months and consists of learning to recognize starting phonemes in words, recognizing letter shapes, and connecting the letter shapes with their phonemes. Curing the second part of the program, occupying approximately two or three weeks, children learn to blend phonemes into words, gaining practice in recognizing and manipulating phonemes in any position within a word. In the third part of the program, lasting through the remainder of the school year, children meet stringent mastery standards for reading with comprehension and learn new words by means cf the techniques developed in the first two stages of instruction. When the program vas used at tvo Chicago inner city schools, vast of the students shoved marked reading improvement. Discussion following presentation of the paper is included. 0114 *********************************************************************** Reproductions supplied by RDAS are the best that can be made from the original dominant. ***************************************************secomms********* Is US DEPARTMENT OF EDUCATION &WELFARE NATIONAL INSTITUTE OF EDUCATION THIS DOCUMENT HAS BEEN REPRODUCED EXACTLY AS RECEIVED FROM THE PERSON OR ORGANIZATION ORIGIN. TIN6 IT POINTS OF VIEW OR OPINIONS STATED DO NOT NECESSARILY REPRE SENT IIFFiCiAL NATIONAL INSTITUTE OF EDUCATION POSITION OR POLICY Helping Disadvantaged Children Learn to Read by Teaching Them Phoneme Identification Skills Michael A. Wallach and Lise Wallach° . Yi (aN milimo
Construction of Practical Japanese Parsing System Based on Lexical Functional Grammar (Special Issue : "Collection of Best Annual Papers" Organized for the 20th Anniversary of the Association for Natural Language Processing)

This paper describes a Japanese parsing system with a linguistically fine-grained grammar based on Lexical-Functional Grammar (LFG). The system is the first Japanese LFG parser with over 97% coverage of real-world text. We evaluated the accuracy of the system by comparing it with standard Japanese dependency parsers. The LFG parser shows roughly equivalent performance in dependency accuracy with standard parsers. It also provides reasonably accurate results of case detection.
Eye Movements in Reading as Rational Behavior.

Moving one's eyes while reading is one of the most complex everyday tasks humans face. To perform efficiently, readers must make decisions about when and where to move their eyes every 200-300ms. Over the past decades, it has been demonstrated that these fine-grained decisions are influenced by a range of linguistic properties of the text, and measuring eye movements during reading has become one of the primary methods of studying online sentence comprehension. However, it is still largely unclear why linguistic variables affect the eye movement record in the ways they do. The present work begins to answer this question by presenting a rational framework for understanding eye movement control in reading, in which probabilistic language knowledge plays a crucial role. Specifically, the task of reading is taken to be one of sentence identification: readers move their eyes to efficiently obtain visual input, which they combine with probabilistic language knowledge through Bayesian inference to yield posterior beliefs about sentence form and structure. Simulations with implemented models within this framework demonstrate that it can provide a principled account of many aspects of reading behavior, including the influence of a number of linguistic variables. In addition, the framework suggests a novel explanation for one of the least understood aspects of eye movements in reading - regressive eye movements - and we present evidence from an eye tracking corpus to support this proposal
Resource allocation and channel estimation techniques for OFDMA systems

Wireless communications are ubiquitous. People are no longer just checking email from wireless devices. Multimedia services are in very high demand, while the quality of multimedia services is increasing, the data transmission speeds are not advancing proportionately. This puts enormous pressure on the wireless service providers to constantly increase the throughput. The 4th generation wireless systems are been designed to address this throughput demand. Orthogonal-frequency-division-multiplexing (OFDM) technology is being chosen as one of the PHY/MAC layer of the 4th generation networks due to number of advantages it provides and high throughput being one of them. Although OFDM is able to provide increased throughput in theory, in practice it is difficult to achieve this limit. Resource allocation is the technique that allocates bandwidth, power, etc., to users, such that the system throughput is increased, while at the same time user quality-of-service (QoS) is maintained. In this dissertation we focus our study mainly on two areas related to the OFDM technology: resource allocation and channel estimation. Resource allocation is a fundamental process that basically allocates data bits to subcarriers. This is an important process since the bandwidth and power is limited, resource allocation algorithm needs to allocate as much data as possible, at the same time satisfying different constraints, including time constraint. Next we study the process of channel estimation in OFDM systems, since channel estimations, or users frequency responses, are the most important information for the operations in the PHY, including resource allocation. Resource allocation algorithms require, among other information, accurate estimations of users channels to make proper resource allocations. Chapter 1 presents an introduction to the OFDM system with its theoretical background. The resource allocation fundamentals are presented with some simulation results