Miracle-dz/UniFAR-FTUs huggingface dataset:
Mining and modeling real-world networks: patterns, anomalies, and tools

Large real-world graph (a.k.a network, relational) data are omnipresent, in online media, businesses, science, and the government. Analysis of these massive graphs is crucial, in order to extract descriptive and predictive knowledge with many commercial, medical, and environmental applications. In addition to its general structure, knowing what stands out, i.e. anomalous or novel, in the data is often at least, or even more important and interesting. In this thesis, we build novel algorithms and tools for mining and modeling large-scale graphs, with a focus on: (1) Graph pattern mining: we discover surprising patterns that hold across diverse real-world graphs, such as the "fortification effect" (e.g. the more donors a candidate has, the super-linearly more money s/he will raise), dynamics of connected components over time, and power-laws in human communications, (2) Graph modeling : we build generative mathematical models, such as the RTG model based on "random typing" that successfully mimics a long list of properties that real graphs exhibit, (3) Graph anomaly detection: we develop a suite of algorithms to spot abnormalities in various conditions; for (a) plain weighted graphs, (b) binary and categorical attributed graphs, (c) time-evolving graphs, and (d) sensemaking and visualization of anomalies.
BIBLIOMETRIC ANALYSIS OF THE MATHEMATICS EDUCATION JOURNALS IN THE SSCI

We present a study about the Mathematics Education production in the Social Sciences Citation Index (SSCI) accessing through the Web of Science (WoS) database. We analyse the four journals specifically focused on Mathematics Education and indexed in the SSCI. We identify co-authorship patterns, diachronic production, the publication’s language and the universities’ productivity. This study has the aim to identify the international production of each country and university, as well as, to know the most important institutional collaboration networks. The study showed a 429,85% of production increment in 26 years, starting with 56 documents per year in the earlier stages up to 276 in the latter one. This increment rises up to 578,94% if we only take into account research articles. The overall Latin-American production is slightly higher than the European one, which regarding international research we found atypical.
Multi-Hierarchical Representation of Large-Scale Space: Applications to Mobile Robots

1. Introduction. 2. Hierarchies of Abstraction in Literature. 3. A Formal Model of Multiple Abstraction. 4. Hierarchical Path Search. 5. Automatic Generation of Multiple Hierarchies of Abstraction. 6. Multiple Hierarchies of Abstraction for Mobile Roots. 7. Conclusions. Appendices. References.
Changing Practices in Evaluating Teaching: A Practical Guide to Improved Faculty Performance and Promotion/Tenure Decisions

About the Author. About the Contributors. Foreword. Preface. 1. Current Practices-Good and Bad-Nationally (Peter Seldin). 2. Student Ratings of Professors: Uses and Misuses (William E. Cashin). 3. Using Feedback to Improve Teaching (Michele Marincovich). 4. Evaluating Teaching Through Peer Classroom Observation (Deborah DeZure). 5. Self-Evaluation: What Works? What Doesn't? (Peter Seldin). 6. Post-Tenure Review: Evaluating Teaching (Joseph C. Morreale). 7. Evaluating Teaching Through Electronic Classroom Assessment (Devorah A. Lieberman). 8. Using the World Wide Web to Improve Teaching Evaluation (Clement A. Seldin). 9. Evaluating Teaching Through Portfolios (John Zubizarreta). 10. Administrative Courage to Evaluate the Complexities of Teaching (Joan DeGuire North). 11. Building a Climate Conducive to Effective Teaching Evaluation (Mary Lou Higgerson). 12. Building Successful Teaching Evaluation Programs (Peter Seldin). 13. Summary and Recommendations for Evaluating Teaching (Peter Seldin). References. Index.
A Practical Guide to Calibration of a GSSHA Hydrologic Model Using ERDC Automated Model Calibration Software - Effective and Efficient Stochastic Global Optimization

Abstract : The objective of this article is to demonstrate, by way of example(s), how to use our implementation of the MLSL method for model independent parameter estimation to calibrate a GSSHA hydrologic model. The purpose is not to present or focus on the theory which underlies the parameter estimation method, but rather to carefully describe how to use the ERDC software implementation of MLSL that accommodates the PEST model independent interface to calibrate a GSSHA hydrologic model. Given the computational expense associated with global optimization, we will initially consider variations of our MLSL implementation on a computationally efficient test problem in attempts to provide the interested reader with an intuitive sense of how the method works.
The informed reading teacher : research-based practice

PART I: FOUNDATIONS OF READING INSTRUCTION. 1. Becoming Literate: Language, Reading, and Writing as Developmental Processes. 2. Approaches to Reading Instruction. 3. Assessing and Evaluating Children's Literacy Growth. 4. Achievement for All Students: Meeting Special Needs. PART II: PRACTICAL IMPLICATIONS OF READING AND WRITING RESEARCH. 5. Guiding the Development of Decoding Skills. 6. Guiding the Development of Reading Strategies. 7. Guiding the Development of Vocabulary. 8. Guiding the Development of Comprehension. 9. Guiding the Development of Reading Fluency. 10. Writing in the Reading Program. PART III: PLANNING FOR BALANCED LITERACY PROGRAMS. 11. Supporting Literacy with Literature in the Classroom. 12. Building a K-2 Reading Program. 13. Building a Literacy Program in Grades 3-5. 14. Building a Literacy Program in Grades 6-8. PART 4: ONGOING PROFESSIONAL GROWTH 15. Becoming an Even More Informed Reading Teacher. Appendix A: Motivation to Read Profile. Appendix B: The Reader Self-Perception Scale. Appendix C: 45 Phonics Generalizations. Appendix D: The Yopp-Singer Test of Phoneme Segmentation. Appendix E: Metacomprehension Strategy Index. Appendix F: Literature Circle Individual Evaluation.
PID control in the Third Millennium : lessons learned and new approaches

PID Tuning. - Model-based PID Tuning. - Tuning Rules for Integral and Unstable Systems. - Robust Tuning of PID Controllers. - PID Tuning for Smooth Control. - PID Control of MIMO Processes. - Feedforward plus PID Control. - PID-based Control Structures. - Robust Multivariable PID Controller Design. - Identification for PID Control. - Design based on the Characterization of all Stabilizing PID Controllers. - Fragility Evaluation of PID Controller Tuning Rules. - Performance Assessment for PID Control. - Industrial Applications of PID Control. - Fractional-order PID Control. - Nonlinearisation of PID Control. - Data-driven PID Control. - Predictive Control Approach for PID Controller Design.
Distribution of Context Information using the Session Initiation Protocol (SIP)

Context-aware applications are applications that exploit knowledge of the situation of the user (i.e. the user’s context) to adapt their behavior, thus helping the user achieve his or her daily tasks. Today, the transfer of context information needs to take place over unreliable and dynamically changing networks. Moreover context information may be produced in different devices connected to different networks. These difficulties have limited the development of context-aware applications. This thesis presents a context distribution method exploiting the event notification mechanisms of the Session Initiation Protocol (SIP), aiming to provide access to context information regardless of where it is produced. The context distribution component presented in this thesis uses SIP for Instant Messaging and Presence Leveraging Extensions (SIMPLE) to enable context sharing by using a SIP presence server, specifically the SIP Express Router (SER) and its presence module. This context distribution component allows distribution of context information in both synchronous and asynchronous mode. The distribution mode depends on the application requirements for context distribution, as well as the nature and characteristics of the contextinformation. In this thesis, based on system scalability, the user’s mobility, and latency - recommendations are given about in which situations each mode is more suitable for distributing context information. The system was evaluated using a load generator. The evaluation revealed that the server is highly scalable. The response time for synchronous retrieval of context information is nearly constant, while in asynchronous mode the time to process a subscription increases with the amount of information in the database regarding previous subscriptions. Notifications are sent at a regular rate (≈2800 notifications per second); however there is a purposely random delay (0 to 1 second), between an update of context information (i.e. receipt of a publish message) and the start of notifications to subscribed users. The requirements of the context-aware applications using the distribution component, such as response time, have to be taken into account when deciding upon the mode of context distribution for each application. This thesis provides some empirical data to help an application developer make this selection.
Neural Networks: Current Applications

Neural network basics using adaptive networks for resource allocation in changing environments medical risk assessment for insurance underwriting modelling chemical process systems via neural computation the application of neural networks to robotics neural networks in vision image labelling with a neural network object recognition with optimum neural networks handwritten digit recognition with a backpropagation network higher order networks for invariant pattern recognition the bionic retina and beyond.
Paranormal Beliefs of High School Students

The Paranormal Belief Scale was given to high school students in Grade 11 (95 boys, 98 girls). This scale provides a total Paranormal Belief Score, plus scores on each of seven paranormal subscales: Traditional Religious Belief, Psi Belief, Witchcraft, Spiritualism, Superstition, Extraordinary Life Forms, and Precognition. Paranormal scale/subscale scores of high school students were compared to those of a sample of college students. Generally, high school students were greater disbelievers in paranormal phenomena than college students. High school students showed significantly less belief than college students on the total Paranormal Scale and on the subscales, Psi Belief, Extraordinary Life Forms, and Witchcraft. As hypothesized, the number of science courses taken by high school students correlated significantly and inversely with total Paranormal Scale scores, Traditional Religious Belief scores, and Psi Belief scores. Also as hypothesized, Traditional Religious Belief scores were significantly and directly associated with grade point average (r = .21). Further as hypothesized, high school students in the most accelerated academic track showed significantly less belief on Superstition than students in other tracks.
Field Experiments: Design, Analysis, and Interpretation

Written by two leading experts on experimental methods, this concise text covers the major aspects of experiment design, analysis, and interpretation in clear language. Students learn how to design randomized experiments, analyze the data, and interpret the findings. Beyond the authoritative coverage of the basic methodology, the authors include numerous features to help students achieve a deeper understanding of field experimentation, including rich examples from the social science literature, problem sets and discussions, data sets, and further readings.
2-[(E)-2-(4-Chlorophenyl)ethenyl]-1-methylpyridinium iodide monohydrateThis paper is dedicated to Her Royal Highness the late Princess Galyani Vadhana Krom Luang Naradhiwas Rajanagarindra for her patronage of science in Thailand

Department of Chemistry and Center of Excellence for Innovation in Chemistry, Faculty of Science, Prince of Songkla University, Hat-Yai, Songkhla 90112, Thailand, Crystal Materials Research Unit, Department of Chemistry, Faculty of Science, Prince of Songkla University, Hat-Yai, Songkhla 90112, Thailand, and X-ray Crystallography Unit, School of Physics, Universiti Sains Malaysia, 11800 USM, Penang, Malaysia Correspondence e-mail: suchada.c@psu.ac. th
Pragmatics across Languages and Cultures

This handbook provides a comprehensive overview, as well as breaking new ground, in a versatile and fast growing field. It contains four sections: Contrastive, Cross-cultural and Intercultural Pragmatics, Interlanguage Pragmatics, Teaching and Testing of Second/Foreign Language Pragmatics, and Pragmatics in Corporate Culture Communication, covering a wide range of topics, from speech acts and politeness issues to Lingua Franca and Corporate Crises Communication. The approach is theoretical, methodological as well as applied, with a focus on authentic, interactional data. All articles are written by renowned leading specialists, who provide in-depth, up-to-date overviews, and view new directions and visions for future research.
Identifying How Successful Vocabulary-Learning Strategies Affect Reading Comprehension among Intermediate Learners of Mandarin Chinese

Identifying How Successful Vocabulary-Learning Strategies Affect Reading Comprehension among Intermediate Learners of Mandarin Chinese Hongyi Jia Center for Language Studies, BYU Master of Arts The Chinese language has become an increasingly important Asian language for American students and more and more of them have a desire to learn it. The problems and the difficulties that Chinese foreign language (CFL) learners have when they try to use their knowledge of new vocabulary in reading comprehension are apparent. Previous studies have described some aspects that may influence reading comprehension and have indicated that Chinese is a relatively difficult language for native speakers of American English, but there are few studies that have focused on improving CFL learners‘ Chinese reading comprehension. This study investigates the effect of pre-learning vocabulary and contextualized word learning strategies on Chinese reading comprehension. The purpose of this study is to examine whether pre-learning vocabulary and contextualized word learning positively affect CFL learners‘ reading comprehension. The results show that pre-learning vocabulary does not have a positive effect on Chinese reading comprehension and that although contextualized word learning positively affects CFL learners‘ reading comprehension the effect is not significant. This study also gives relative analysis.
Multiple processor systems for real-time applications

What do you do to start reading multiple processor systems for real time applications? Searching the book that you love to read first or find an interesting book that will make you want to read? Everybody has difference with their reason of reading a book. Actuary, reading habit must be from earlier. Many people may be love to read, but not a book. It's not fault. Someone will be bored to open the thick book with small words to read. In more, this is the real condition. So do happen probably with this multiple processor systems for real time applications.
Latent Dirichlet Allocation: Towards a Deeper Understanding

The aim of this tutorial is to introduce the reader to Latent Dirichlet Allocation (LDA) for topic modeling. This tutorial is not all-inclusive and should be accompanied/crossreferenced with Blei et al. (2003). The unique aspect of this tutorial is that I provide a full pseudo-code implementation of variational expectation-maximization LDA and an R code implementation at http://highenergy.physics. uiowa.edu/ ~ creed/#code. The R code is arguably the simplest variational expectation-maximization LDA implementation I’ve come across. Unfortunately, the simple implementation makes it very slow and unrealistic for actual application, but it’s designed to serve as an educational tool.
Reliably Networking a Multicast Repository [extended version]

In this paper, we consider the design of a reliable multicast facility over an unreliable multicast network. Our multicast facility has several interesting properties: it has different numbers of clients interested in each data packet, allowing us to tune our strategy for each data transmission; has recurring data items, so that missed data items can be rescheduled for later transmission; and allows the server to adjust the scheduler according to loss information. We exploit the properties of our system to extend traditional reliability techniques for our case, and use performance evaluation to highlight the resulting differences. We find that our reliability techniques can reduce the average client wait time by over thirty percent.
The Application of a Research Project Selection Method : R&D Management

This paper describes the application of a linear programming model to project selection and resource allocation problems in two industrial R & D laboratories. Mathematical models have not been widely used in practice because of the inherent uncertainty of research. The model discussed here yields information about the outcome of decisions under conditions of uncertainty. The elements of the model are developed, using simple examples, and the form of the complete model outlined. Benefit evaluation is carried out using probabilistic networks and uncertainty in benefits included by utilizing the concept of certainty equivalence. The use of the model in practical situations is discussed, with examples of the information obtained from the solution, and sensitivity studies to investigate the uncertain environment are described. The result is a flexible model, which produces information necessary for planning purposes and which is acceptable to practising R & D Managers.
Interactive narrative generation using computational verb theory

Interactive narrative extends traditional story-telling techniques by enabling previously passive observers to become active participants in the narrative events that unfold. A variety of approaches have attempted to construct such interactive narrative spaces and reconcile the goals of interactivity and dramatic story-telling. With the advent of the linguistic variable in 1972, a means was established for modelling natural language words and phrases mathematically and computationally. Over the past decade, the computational verb, first introduced in 1997, has been developed as a mathematical means of modelling natural language verbs in terms of dynamic systems, and vice versa. Computational verb theory extends the initial concept of the linguistic variable beyond being able to model adjectives, nouns, and passive states, into the realm of actions as denoted by natural language verbs. This thesis presents the framework and implementation of a system that generates interactive narrative spaces from narrative text. The concept of interactive narrative is introduced and recent developments in the area of interactive narrative are discussed. Secondly, a brief history of the development of the linguistic variable and the computational verb are provided. With the context of the computational verb (interactive) narrative generation (CVTNG) system presented, the underlying theoretical principles of the system are established. The CVTNG system principles are described in terms of fuzzy set, computational verb, and constraint satisfaction theory. The fuzzy set, computational verb, and constraint satisfaction principles are organised according to a CVTNG architecture. The CVTNG architecture is then described in terms of its subsystems, structures, algorithms, and interfaces. Each CVTNG system component is related to the overall design considerations and goals. A prototype of the CVTNG system is implemented and tested against a suite of natural language sentences. The behaviour and performance of the CVTNG system prototype are discussed in relation to the CVTNG system’s design principles. Results are calculated and stored as variable values that are dynamically and generically associated with representational means, specifically computer graphics, to illustrate the generation of interactive narrative spaces. Plans for future work are discussed to show the immense development potential of this application. The thesis concludes that the CVTNG system provides a solid and extendable base for the intuitive generation of interactive narrative spaces from narrative text, computational verb models, and freely associated media.
Implementation of decision trees for embedded systems

This research work develops real-time incremental learning decision tree solutions suitable for real-time embedded systems by virtue of having both a defined memory requirement and an upper bound on the computation time per training vector. In addition, the work provides embedded systems with the capabilities of rapid processing and training of streamed data problems, and adopts electronic hardware solutions to improve the performance of the developed algorithm. Two novel decision tree approaches, namely the Multi-Dimensional Frequency Table (MDFT) and the Hashed Frequency Table Decision Tree (HFTDT) represent the core of this research work. Both methods successfully incorporate a frequency table technique to produce a complete decision tree. The MDFT and HFTDT learning methods were designed with the ability to generate application specific code for both training and classification purposes according to the requirements of the targeted application. The MDFT allows the memory architecture to be specified statically before learning takes place within a deterministic execution time. The HFTDT method is a development of the MDFT where a reduction in the memory requirements is achieved within a deterministic execution time. The HFTDT achieved low memory usage when compared to existing decision tree methods and hardware acceleration improved the performance by up to 10 times in terms of the execution time.
Effect of different training programs on the velocity of overarm throwing

Throwing velocity in overarm throwing is of major importance in sports like baseball, team handball, javelin, and water polo. The purpose of this literature review was to give an overview of the effect of different training programs on the throwing velocity in overarm throwing, provide a theoretical framework that explains findings, and give some practical applications based on these findings. The training studies were divided into 4 categories: (a) specific resistance training with an overload of velocity, (b) specific resistance training with an overload of force, (c) specific resistance training with a combination of overload of force and velocity, and (d) general resistance training according to the overload of force. Each category is presented and discussed.
Evaluating Sparse Linear System Solvers on Scalable Parallel Architectures

Abstract : This report describes in detail studies developing and evaluating sparse linear systems on scalable architectures, with emphasis on preconditioned iterative solvers. The study was motivated primarily by the lack of robustness of Krylov subspace iterative schemes with generic, black-box, pre-conditioners such as approximate (or incomplete) LU-factorizations. In this report the authors advocate the use of banded pre-conditioners after suitable reordering of the sparse linear systems. The choice of the reordering scheme is based on: (1) minimizing the bandwidth, and (2) bringing as many of the largest elements of the coefficient matrix as possible to a narrow central band.