Miracle-dz/UniFAR-FTUs huggingface dataset:
Effective remote modeling in large-scale distributed simulation and visualization environments

A Distributed Interactive Simulation provides the illusion of a single, coherent virtual world to a group of users located at different machines connected by a network. Users expect to see a consistent world view, to interact closely with one another and with other simulation entities in the virtual world, and to be shielded from the application's distributed nature. Networked virtual environments are used for multiplayer video games, military and industrial training, and collaborative engineering. Network bandwidth, network latency, and host processing power limit the achievable size and detail of future simulations. This thesis describes network protocols and algorithms to support remote modeling, allowing a host to model and render remote entities in large-scale distributed simulations. These techniques require fewer network resources and support more entity types than previous approaches. The Position History-Based Dead Reckoning (PHBDR) protocol provides accurate remote position modeling and minimizes dependencies on network performance and entity representation. PHBDR is a foundation for three protocols: (1) Axis Point Protocol: Models entity orientation by tracking the position of points in the entity's local coordinate system. (2) Multiple-Detail Channels: Protocol architecture for modeling entity structural change at different levels of detail depending on locally available computational and network resources. (3) Projection Aggregation Entities: Protocol for bundling information from entities dynamically grouped by their type and location. This thesis shows that a simple, efficient protocol can provide smooth, accurate remote position modeling and that it can be applied recursively to support entity orientation, structure, and aggregation at multiple levels of detail; these protocols offer performance and costs that are competitive with more complex and application-specific approaches, while providing simpler analyses of behavior by exploiting this recursive structure. In support of this claim, this thesis shows that: (1) PHBDR is a simple, efficient protocol that provides smooth and accurate remote modeling for a broad range of entities and explicitly recognizes network latency. (2) PHBDR is still smooth and accurate when used to model entity orientation, entity structure at multiple levels of detail, and entity aggregations. (3) The recursive protocol structuring provides better network performance and reduced software complexity when compared with the application-specific approaches deployed in previous systems.
Trust, Calculation, and Interorganizational Learning of Tacit Knowledge: An Organizational Roles Perspective

Learning of tacit knowledge in an interorganizational context is a process fraught with risks for the collaborating partners. Two conflicting perspectives on what motivates partners to cooperatively share tacit knowledge with each other emerge from extant literature: one based on calculative considerations and the other on trust-based considerations. This paper aims to show that the two perspectives can be reconciled if the unique learning-related roles of boundary spanners at the corporate and operating levels are taken into account. Operating-level boundary spanners are the primary agents of tacit knowledge learning across organizational borders, and we argue that trust is the primary determinant of knowledge sharing at that level. In contrast, the corporate-level boundary spanners shape the structures and systems of the collaboration and thus affect the extent of sharing that can take place between operating-level boundary spanners. In this role, we propose, their learning behavior is predominantly driven by calculative considerations of potential costs and benefits of knowledge sharing.
Some applications of translation to psycholinguistic research

The purpose of the present article is an analysis of the possible applications of translation to psycholinguistic research. It is argued that it offers valuable insights into foreign language processing, especially comprehension, the mental representation of words, the interaction of different kinds of information and, last but not least, affective states. However, the use of translation also has some limitations which should be taken into account and, if necessary, it should be combined with other research tools.
Essentials of business communication

Unit I: WORKPLACE COMMUNICATION TODAY. 1. Communication Skills as Career Filters. Unit II: THE BUSINESS WRITING PROCESS. 2. Planning Business Messages. 3. Composing Business Messages. 4. Revising Business Messages. Unit III: WORKPLACE MESSAGES. 5. Electronic Messages and Digital Media. 6. Positive Messages. 7. Bad News Messages. 8. Persuasive and Sales Messages. Unit IV: BUSINESS REPORTS. 9. Informal Reports. 10. Proposals and Formal Reports. Unit V: PROFESSIONALISM AND TEAM, MEETING, AND PRESENTATION SKILLS. 11. Business Etiquette, Ethics, Teamwork, and Meetings. 12. Business Presentations. Unit VI: EMPLOYMENT COMMUNICATION. 13. The Job Search, Resumes, and Cover Letters. 14. Interviewing and Following Up. Appendix A: Document Formats. Appendix B: Proofreading and Corrections Symbols. Appendix C: Citation and Documentation Formats. Grammar/Mechanics Handbook. Key to Grammar/Mechanics Checkups. Notes. Acknowledgments. Index.
Applied Stochastic Modelling

The practice and theory of statistics have developed rapidly over the past 25 years in tandem with the greatly increased power of computers. The advent of increased computer power has revolutionised the way in which statisticians can manipulate and analyze data. This volume collates together all the basic tools for statistical modelling, identifying the primary principles that are used.
Sentiment Classification of Reviews Using SentiWordNet

Sentiment classification concerns the use of automatic methods for predicting the orientation of subjective content on text documents, with applications on a number of areas including recommender and advertising systems, customer intelligence and information retrieval. SentiWordNet is an opinion lexicon derived from the WordNet database where each term is associated with numerical scores indicating positive and negative sentiment information. This research presents the results of applying the SentiWordNet lexical resource to the problem of automatic sentiment classification of film reviews. Our approach comprises counting positive and negative term scores to determine sentiment orientation, and an improvement is presented by building a data set of relevant features using SentiWordNet as source, and applied to a machine learning classifier. We find that results obtained with SentiWordNet are in line with similar approaches using manual lexicons seen in the literature. In addition, our feature set approach yielded improvements over the baseline term counting method. The results indicate SentiWordNet could be used as an important resource for sentiment classification tasks. Additional considerations are made on possible further improvements to the method and its use in conjunction with other techniques.
Enablers and constraints to knowledge creation, sharing and use

Purpose – This paper aims to develop and validate a framework about the enablers and constraints to the creation, sharing and use of knowledge, by analyzing how enablers and constraints in a particular information environment – advocacy networks – impact each of the phases of the knowledge process.Design/methodology/approach – The setting chosen for this research is a group of leading international non‐governmental organizations (INGOs), and their NGO partners in a developing country, pursuing a policy advocacy strategy in the context of an international donors conference. The qualitative research follows an embedded case study design with two levels of data collection and analysis: intra‐organizational: an individual INGO; and inter‐organizational: the advocacy network to which this INGO belongs.Findings – Most enablers and constraints are internal to organizations and focus on the phases of knowledge use. Constraints associated with organizations' cultures, individuals' information‐processing preference.
Performance and testability interactions in logic synthesis

Three primary parameters that are optimized at all levels of synthesis and design of very large scale integrated circuits are area, performance, and testability. While techniques for individually optimizing each of these parameters are well formulated, not much is known of the interactions between the parameters. There are two important reasons why this interaction is interesting. First, it is unknown whether circuits may be fully optimized simultaneously for area, performance and testability, or whether a tradeoff between the criteria necessarily exists, i.e. is the optimality of one parameter sacrificed when the others are optimized? Second, the impact of the tradeoff between the area, performance or testability on the resulting quality of the optimized integrated circuit is not well understood. This thesis studies the interaction between the performance, testability, and area of combinational logic circuits. The results apply to sequential circuits as well. There are three contributions; these are motivated by the example of a well-known circuit design, where testability and reliability are apparently sacrificed for performance. The first result proves that there exists a fully testable implementation for every high-performance and untestable circuit. An algorithm that transforms an untestable circuit to a fully testable circuit with no loss in performance is provided. A consequence of this result is the question of whether the testability of a circuit can be retained during performance optimization. The second part of this thesis explores several synthesis situations and provides a comprehensive summary of the testability effects of performance optimization techniques. The synthesis techniques discussed in the first two parts require the analysis of two critical problems that have emerged recently, timing analysis and delay-fault test generation. The final contribution of this thesis is the development of a novel and efficient general framework to solve the class of problems, that includes both timing analysis and delay-fault test generation, involving functional analysis on paths in a circuit.
The Ensemble System

Ensemble is a group communication system that demonstrably achieves a wide range of goals. It is a general-purpose communication system intended for constructing reliable distributed applications; it is a flexible framework for carrying out research in group ware protocols; it is a large-scale, system-style implementation built in a state-of-the-art programming language\rc{lines of ML? }; and it is also a mathematical object designed to be amenable to formal analysis and manipulation. Thus, Ensemble straddles a number of disciplines of computer science ranging from systems architectures to formal methods. The principal advances described in this thesis are the creation of the Ensemble system and the demonstration that it exhibits the properties just mentioned. The thesis begins by presenting the Ensemble architecture, as well as background in group communication. We describe the various components of the architecture, give examples of their interactions, and compare this architecture with that of other layered communication systems. The Ensemble protocols make heavy use of layered micro-protocols. We describe optimization techniques that greatly reduce the performance overheads introduced by layering and show how the architecture facilitates these optimizations. In addition we show how to formalize these optimizations in type theory and implement them using the Nuprl theorem prover. Ensemble is implemented in a dialect of the ML programming language. We describe how the use of ML impacted the system, and present a wide range of comparisons between Ensemble and a similar system implemented in C.
Learning strategies and exploratory behavior of interactive computer users

Users may engage in "exploratory learning" to investigate the capabilities of a new interface. In this form of behavior, the user's short-term goals are not clearly defined, even if there is a general long-term goal to learn the software. Related exploratory behavior may occur when real tasks are involved that are not well specified, or within a system that is not entirely understood. It has been suggested that exploratory learning is effective and attractive to users, but there has been little investigation of its occurrence outside of laboratory and training situations. The research described in this dissertation begins by examining the task of exploration in an abstract sense. The difficulties revealed by this formal approach help to guide a field study into the behavior and attitudes of computer users in everyday working situations. To provide further detail on the behavior found in the field studies, several cognitive models are implemented that describe how the user's general task description and the computer display interact to form interface-specific goals. Empirical work in the laboratory investigates the predictions of the formal theory and the model. The formal theory shows that truly task-free exploration is exceptionally difficult. The majority of users studied in the field were found to avoid this kind of behavior, preferring task-oriented exploration supported by manuals and personal interactions. The cognitive modeling and laboratory studies revealed that the strategies effective for task-oriented exploration included label-following supplemented by active search for appropriate labels, along with a dual-search strategy that delves slowly deeper into both the actual interface and the users' associative memory.
Study on UIO sequence generation for sequential machine's functional test

Unique input/output (UIO) sequence is a basic element to generate vector sequences for a sequential machine's functional test, which arises in many applications, such as VLSI design and communication protocols. A new heuristic algorithm based on distinguishable state group (DSG) is proposed in this paper to optimize UIO sequences generation. The optimizing methods, including a insertion strategy based on a specified 'less' relation, several pruning strategies, and a novel store mechanism of multiple OPEN/CLOSED lists, are also presented. Experimental results show that the proposed algorithm greatly improves the efficiency of the UIO sequence calculation in terms of both the time and space complexities.
Effect of mixed media visualization on learner perceptions and outcomes

This pilot study examines the effect of mixed media visualization on learner perceptions and outcomes in 3D spatial modeling. The context for this study is a university first year undergraduate interactive media and design course. Meta analytic studies in the use of visualizations show positive improvements in learning outcomes among low and high spatial learners. But often these studies are focused on single media and virtual representations. Many multimedia learning studies do not take into consideration important factors that could influence the appropriate selection of media. This exploratory study aims to address this from a learner’s perspective through the evaluation of physical and virtual media (3D Printed, Virtual Reality and 2D Projection). This exploratory study produces several core guidelines for more in-depth research on the interaction between media for improved learning in domains which really on visualizations and manipulations. The aim is that through more meaningful learning activities centered on the media affordances learner engagement is improved leading to improved outcomes.
The Timing of Bids in Internet Auctions: Market Design, Bidder Behavior, and Artificial Agents

Many bidders in eBay use bidding strategies that involve late bids, incremental bids, or both. Based on field evidence, we discuss the manner in which late bids are caused both by sophisticated, strategic reasoning and by irrationality and inexperience; the interaction of late bidding with incremental bidding; and the relation between market design and artificial agent design.
Assessing Students with Special Needs

PART I The Assessment Process Chapter 1 Defining and Describing the Assessment of Students with Special Needs Chapter 2 Steps in the Assessment Process Chapter 3 Inclusive Assessment PART II Assessment Concepts and Skills Chapter 4 Practical Measurement Concepts Chapter 5 Test Scores and What They Mean Chapter 6 Selecting and Using Assessment Instruments PART III Assessing General Performance Chapter 7 Assessing Intelligence Chapter 8 Developmental Assessment Chapter 9 Assessing Motor Proficiency, Perception, and Learning Styles Chapter 10 Language and Bilingual Assessment Chapter 11 Assessing Behavior Chapter 12 Assessing Adaptive Behavior Chapter 13 Career and Vocational Assessment PART IV Assessing Academic Achievement Chapter 14 Assessing Academic Achievement: Curriculum-Based and Norm-Referenced Strategies Chapter 15 Assessing Reading Achievement Chapter 16 Assessing Mathematics Achievement Chapter 17 Assessing Written Expression Chapter 18 Portfolio Assessment
Principles of Research Design in the Social Sciences

This practical introduction for first time researchers provides a bridge between how to conduct research and the philosophy of social science, allowing students to relate what they are doing to why. It does not provide a set of rigid recipes for social scientists as many methodology books do, rather it stimulates students to think about the issues involved when deciding upon their research design.By discussing standard approaches to research design and method in various social science disciplines, the authors illustrate why particular designs have traditionally predominated in certain areas of study. But whilst they acknowledge the strengths of these standard approaches, their emphasis is on helping researchers find the most effective solution to their problem by encouraging them, through this familiarity with the principles of various approaches, to innovate where appropriate.This text will prove indispensable for social science students of all levels embarking upon a research project, and for experienced researchers looking for a fresh perspective on their object of study.
Biometry: The Principles and Practice of Statistics in Biological Research

1. Introduction 2. Data in Biology 3. Computers and Data Analysis 4. Descriptive Statistics 5. Introduction to Probability Distributions 6. The Normal Probability Distribution 7. Hypothesis Testing and Interval Estimation 8. Introduction to Analysis of Variance 9. Single-Classification Analysis of Variance 10. Nested Analysis of Variance 11. Two-Way and Multiway Analysis of Variance 12. Statistical Power and Sample Size in the Analysis of Variance 13. Assumptions of Analysis of Variance 14. Linear Regression 15. Correlation 16. Multiple and Curvilinear Regression 17. Analysis of Frequencies 18. Meta-Analysis and Miscellaneous Methods
Performance Evaluation of Low Density Parity Check Forward Error Correction in an Aeronautical Flight Environment

In some flight test scenarios the telemetry link is noise limited at long slant ranges or during signal fade events caused by antenna pattern nulls. In these situations, a mitigation technique such as forward error correction (FEC) can add several decibels to the link margin. The particular FEC code discussed in this paper is a variant of a low-density parity check (LDPC) code and is coupled with SOQPSK modulation in the hardware tested. This paper will briefly cover lab testing of the flight-ready hardware then present flight test results comparing a baseline uncoded telemetry link with a LDPC-coded telemetry link. This is the first known test dedicated to this specific FEC code in a real-world test environment with flight profile tailored to assess the viability of an LDPC-coded telemetry link.
ASAMgpu V1.0 - a moist fully compressible atmospheric model using graphics processing units (GPUs)

Abstract. In this work the three dimensional compressible moist atmospheric model ASAMgpu is presented. The calculations are done using graphics processing units (GPUs). To ensure platform independence OpenGL and GLSL are used, with that the model runs on any hardware supporting fragment shaders. The MPICH2 library enables interprocess communication allowing the usage of more than one GPU through domain decomposition. Time integration is done with an explicit three step Runge-Kutta scheme with a time-splitting algorithm for the acoustic waves. The results for four test cases are shown in this paper. A rising dry heat bubble, a cold bubble induced density flow, a rising moist heat bubble in a saturated environment, and a DYCOMS-II case.
MODEL PEMBERDAYAAN PEREMPUAN DAN PENGARUSUTAMAAN GENDER MELALUI LAYANAN PENDIDIKAN MASYARAKAT PADA PUSAT KEGIATAN BELAJAR MASYARAKAT

Abstrak: Penelitian ini bertujuan untuk mendeskripsikan model pemberdayaan perempuan dan pengarusutamaan gender melalui layanan pendidikan masyarakat pada Pusat Kegiatan Belajar Masyarakat di DKI Jakarta. Penelitian menggunakan metode survei, teknik pengumpulan data melalui penyebaran angket, dan teknik analisis data menggunakan statistik deskriptif. Hasil penelitian menunjukkan hal-hal sebagai berikut. (1) Layanan program pendidikan masyarakat yang paling banyak diikuti oleh responden adalah pendidikan kesetaraan (61,4%), dan jenis kelamin responden dalam penelitian ini adalah perempuan (75,8%). (2) Pemberdayaan perempuan dan pengarusutamaan gender melalui pendidikan masyarakat (61,5%). (3) Model pemberdayaan perempuan dan pengarusutamaan gender melaui pendidikan masyarakat, dipandang strategis dengan pengintegrasian berbagai program yang direncanakan oleh pemerintah dengan program life skill sehingga akan menghasilkan sumberdaya manusia yang berakhalak mulia, cerdas, terampil dan mandiri. Kata Kunci: model pemberdayaan perempuan, layanan Pendidikan masyarakat A MODEL OF WOMAN EMPOWERMENT AND GENDER MAINSTREMING THROUGH COMMUNITY EDUCATIONAL SERVICE IN THE COMMUNITY LEARNING ACTIVITY CENTER Abstract: This study was aimed to describe a model of woman empowerment and gender mainstreaming through the community educational service in the community learning activity center in Greater Jakarta Special Capital Region. This study employed the survey method. The data were collected through questionnaires and were analyzed using the descriptive statistics. The findings showed the following: (1) the community educational program service mostly joined by the respondents was the equality education (61.4%), and most of the respondents were female (75.8%). (2) The woman empowerment and gender mainstreaming was carried out through the community education (61.5%). (3) The model of woman empowerment and gender mainstreaming through the community education is considered as being strategic with the integration of various programs planned by the government with the life skill program to produce human resources with the good character, being intelligent, skillful, and self-dependent. Keywords: model of woman empowerment, community educational service