Miracle-dz/UniFAR-FTUs huggingface dataset:
The Communicating Company: Towards an Alternative Theory of Corporate Communication

Theoretical context. - Purpose of the study. - Methodological considerations. - Reference points for theory development. - Presentation of case study. - Analysis. - Analysis of case study. - Role and analysis of context. - Coordinating the company around dynamic purposes. - Organising by linking decisions and actions. - Facilitating implementation and change processes. - Leveraging competitive position and distinctive competencies. - Integration of findings. - Key conclusions.
Analysis and design of swarm-based robots using game theory

This thesis addresses the problem of emergence of intelligence in a multi-robotic environment. Each robot is considered to be very simple in terms of hardware and software capabilities and, consequently, the kind of intelligence we are interested in is a very simple one, based only on few and simple behaviors such as the ones present in the individuals in social insect colonies. This is now known as swarm intelligence and has been applied successfully to many optimization problems. The goal is to have a large number of agents with just a few very simple rules and through their social interactions have them solve complicated tasks due to social emergent behaviors that are not directly derived from the individual behaviors of each agent. In this research we assume that the robots do not communicate directly to each other or, if they do so, it is not guaranteed that the other robot receives the message and decodes it the way intended. The main contribution of the present research to this field is the introduction of new design techniques based on Game Theory and their evaluation through experiments. Moreover, we also prove that when we represent the behaviour of robots by using personality traits, a zero-sum game between two robots will always converge to N ash equilibria. Also, we prove that in Markov games, the multiple pursuer-evader game with adaptation by learning automata converges to Nash equilibria as well.
Integrated active antennas and spatial power combining

Oscillators and Synchronization. Antennas and Arrays. Power Combining. Integrated and Active Antenna Testing. Active Antennas: Early Work Before 1987. Active Microstrip Patch Antennas and Power Combining. Integrated and Active Grids. Endfire Notches and Other Slotline Active Antennas. Integrated and Active Inverted Stripline Antennas and Other Active Antenna Configurations. Integrated Antennas with Passive Solid-State Devices. Beam Steering for Active Antenna Arrays and Spatial Power Combiners. Index.
Digital design using ABEL

Written by one of the original design team that produced ABEL, this a reference for users of this widely used HDL. An accompanying disk includes the ABEL compiler, optimizer and logic simulator software - allowing designers to use the HDL-based logic design techniques described. The text emphasizes solutions to common design problems, includes actual complete applications in the form of ABEL source files and corresponding design descriptions.
Peer-to-Peer: Building Secure, Scalable, and Manageable Networks

Chapter 1: Introduction Chapter 2: P2P Justification and Risks Chapter 3: P2P Today Chapter 4: P2P Challenges Chapter 5: P2P Technologies Chapter 6: P2P Architecture Chapter 7: P2P Solutions Chapter 8: P2P Tomorrow Appendix
Authoring tools for advanced technology learning environments : toward cost-effective adaptive, interactive and intelligent educational software

Preface Contributors Acknowledgements Section I: Authoring Tutors for Device and Process Simulations 1. SIMQUEST: Authoring Educational Simulations, W R van Joolingen and T de Jong 2. Requiem for a Development System: Reflections on Knowledge-Based, Generative Instruction, H M Halff et al 3. Authoring Simulation-Centered Learning Environments with Rides and Vivids A Munro Section II: Authoring Tools That Encode Human Expertise 4. A Programming by Demonstration Authoring Tool for Model-Tracing Tutors S B Blessing 5. Automated Knowledge Acquisition for Intelligent Support of Diagnostic Reasoning D Towne 6. Formative Evaluation of an Automated Knowledge Elicitation and Organization Tool V J Shute and L A Torreano 7. Using Knowledge Objects to Design Instructional Learning Environments M D Merrill Section III: Authoring Tutors That Include Instructional Strategies 8. REEDEEM: Simple Intelligent Tutoring Systems from Usable Tools S Ainsworth et al 9. The IRIS Authoring Tool A Arruarte et al 10. CREAM-Tools: An Authoring Environment for Knowledge Engineering in Intelligent Tutoring Systems R Nkambou et al 11. Eon: Authoring Tools for Content, Instructional Strategy, Student Model and Interface Design T Murray Section IV: Special Purpose Authoring Tools 12. Suporting Educational Software Design with Knowledge-Rich Tools B Bell 13. Devloping Adaptive Educational Hypermedia Systems: From Design Models to Authoring Tools P Brusilovsky 14. The Leap Authoring Tool: Supporting Complex Courseware Authoring through Reuse, Rapid Prototyping, and Interactive Visualizations R Sparks et al Section V: General Theories and Designs 15. Principles for Pedagogy-oriented Knowledge Based Tutot Authoring Systems: Lessons Learned and a Design Meta-Model T Murray 16. Authoring Tools for Component-Based Learning Environments S Ritter et al 17. An Overview of Intelligent Tutoring System Authoring Tools: Updated Analysis of the State of the Art T Murray Author Index Subject Index
Compact Down-Conversion Mixer Design Employing a Wide and Deep Stop-Band DGS-LPF

This paper investigates a compact 24-GHz hybrid down-conversion mixer. The proposed mixer is based on a wide and deep stop-band low pass filter, four Schottky diodes, two hybrid couplers and an open stub. The unwanted harmonics are rejected by means of a filter based on three uniforms dumbbell-shaped defected ground structure and a compensated microstrip line. A good conversion loss of 2.19dB, 1-dB compression point of 3-dBm and an LO-to-RF isolation better than 35dB are obtained. The validity of the mixer configuration and the design procedure are confirmed by a comparison between simulation results and measurements data reported in literature. 
SQL Server 7 Data Warehousing

From the Publisher: Design, build, and manage multidimensional data warehouses with SQL Server 7 - Microsoft's new scalable database management system. Businesses today need advanced data delivery systems to analyze complex information and make sound business decisions. This book provides strategic analyses of the latest data warehousing technologies and explains in detail how to implement them - from data mining to RAID to OLAP. Written by renowned relational database solutions experts, SQL Server 7 Data Warehousing is your authoritative guide to every aspect of this explosive technology.
Temporal Text Mining: The TTM Testbench

This master thesis presents the Temporal Text Mining(TTM) Testbench, an application for discovering association rules in temporal document collections. It is a continuation of work done in a project the fall of 2005 and work done in a project the fall of 2006. These projects have laid the foundation for this thesis. The focus of the work is on identifying and extracting meaningful terms from textual documents to improve the meaningfulness of the mined association rules. Much work has been done to compile the theoretical foundation of this project. This foundation has been used for assessing different approaches for finding meaningful and descriptive terms. The old TTM Testbench has been extended to include usage of WordNet, and operations for finding collocations, performing word sense disambiguation, and for extracting higher-level concepts and categories from the individual documents. A method for rating association rules based on the semantic similarity of the terms present in the rules has also been implemented. This was done in an attempt to narrow down the result set, and filter out rules which are not likely to be interesting. Experiments performed with the improved application shows that the usage of WordNet and the new operations can help increase the meaningfulness of the rules. One factor which plays a big part in this, is that synonyms of words are added to make the term more understandable. However, the experiments showed that it was difficult to decide if a rule was interesting or not, this made it impossible to draw any conclusions regarding the suitability of semantic similarity for finding interesting rules. All work on the TTM Testbench so far has focused on finding association rules in web newspapers. It may however be useful to perform experiments in a more limited domain, for example medicine, where the interestingness of a rule may be more easily decided.
Learning geospatial analysis with Python : master GIS and remote sensing analysis using Python with these easy to follow tutorials

This is a tutorial-style book that helps you to perform Geospatial and GIS analysis with Python and its tools/libraries. This book will first introduce various Python-related tools/packages in the initial chapters before moving towards practical usage, examples, and implementation in specialized kinds of Geospatial data analysis. This book is for anyone who wants to understand digital mapping and analysis and who uses Python or another scripting language for automation or crunching data manually.This book primarily targets Python developers, researchers, and analysts who want to perform Geospatial, modeling, and GIS analysis with Python.
Penerapan permainan pita bilangan untuk meningkatkan hasil belajar matematika pada siswa kelas V SD Hasanuddin Dilem 02 Kepanjen / Alfiah

Kata Kunci: permainan pita bilangan, pembelajaran, matematika Peneliti melakukan observasi awal dengan melihat langsung pembelajaran matematika yang dilakukan oleh guru matematika SD NU Hasanuddin Dilem 02 Kota Kepanjen. Dari hasil observasi dan wawancara dengan guru, peneliti menemukan kelemahan dari pembelajaran yang dilakukan oleh guru yaitu: (1) pembelajaran yang dilakukan guru kurang variatif, dan (2) siswa pasif dalam pembelajaran. Kelemahan tersebut menyebabkan nilai rata-rata hasil evaluasi mata pelajaran matematika yaitu 45. Tiga sasaran hasil yang ingin dicapai dalam penelitian ini berdasarkan rumusan masalah yaitu (1) Mendeskripsikan penerapan permainan pita bilangan yang dapat meningkatkan hasil belajar matematika pada siswa kelas V SD NU Hasanuddin Dilem 02, (2) Mendeskripsikan peningkatan aktivitas belajar siswa kelas V SD NU Hasanuddin Dilem 02 dalam pembelajaran matematika saat diterapkan permainan pita bilangan, (3) Mendeskripsikan peningkatan hasil belajar matematika siswa kelas V SD NU Hasanuddin Dilem 02 saat diterapkan permainan pita bilangan. Penelitian ini difokuskan pada peningkatan pembelajaran matematika siswa kelas V SD NU Hasanuddin Dilem 02 Kota Kepanjen melalui permainan pita bilangan. Metode penelitian yang digunakan adalah tindakan kelas dengan menggunakan alur penelitian Kemmis dan MC. Taggart (dalam Susilo:2009). Tahapan dalam setiap siklusnya terdiri atas: planning-perencanaan, acting-tindakan, observing-observasi atau pengamatan, reflecting-refleksi. Teknik pengumpulan data yang disajikan berupa data observasi, tes dan dokumentasi. Penelitian telah dilaksanakan sesuai rancangan penelitian. Dalam pembelajaran matematika siswa kelas V SD NU Hasanuddin Dilem 02 Kota Kepanjen, guru telah menerapkan permainan pita bilangan. Kemampuan guru dalam menerapkan permainan pita bilangan juga semakin meningkat dari tiap pertemuan pada masing-masing siklus. Pembelajaran dengan menerapkan permainan pita bilangan dapat meningkatkan aktivitas belajar siswa. Pada siklus I diperoleh nilai rata-rata aktivitas belajar siswa yaitu 40,06 meningkat menjadi 58,96 pada siklus II. Pembelajaran dengan menerapkan permainan pita bilangan juga dapat meningkatkan hasil belajar siswa. Pada siklus I diperoleh rata-rata nilai evaluasi siswa yaitu 57,17 meningkat menjadi 72,01 pada siklus II. Berdasarkan hasil penelitian yang dipaparkan dapat disimpulkan bahwa permainan pita bilangan dapat meningkatkan pembelajaran matematika selain itu juga meningkatkan aktivitas belajar siswa kelas V SD NU Hasanuddin Dilem 02 Kota Kepanjen serta dapat meningkatkan hasil belajar siswa kelas V SD NU Hasanuddin Dilem 02 Kota Kepanjen kompetensi dasar ” melakukan operasi hitung bilangan bulat termasuk penggunaan sifat-sifatnya, pembulatan, dan penaksiran”.
Moving Researchers across the EResearch Chasm

In 1999 Sir John Taylor, then Director General of the UK Research Councils, talked about e-Science, i.e. global collaboration in key areas of science and the next generation of infrastructure that will support it. It encompasses computationally intensive science that is carried out in highly distributed network environments or that uses immense datasets that require grid computing. In the US the term cyberinfrastructure has been used to describe the new research environments that support advanced data acquisition, data storage, data management, data integration, data mining, data visualisation and other computing and information processing services over the Internet. In Australia-and other countries-the term eResearch extends e-Science and cyberinfrastructure to other disciplines, including the humanities and social sciences, and denotes the use of information technology to support existing and new forms of research. It is within this rapidly evolving context that the researcher of the 21st century now operates. However not all researchers are responding to changes in this new environment. In this article we will examine the current research paradigm, the main drivers for researchers to engage with this paradigm, reasons for lack of engagement, and a project undertaken at an Australian university-as part of a national initiative-to start to address the problem of making data from research activity, past and current, more discoverable and accessible.
Silencing of ANXA 3 expression by RNA interference inhibits the proliferation and invasion of breast cancer cells

The present study aimed to explore the expression of Annexin A3 (ANXA3) in breast cancer cells and the mechanisms involved in the regulatory effects of ANXA3 on proliferation, invasion and migration of breast cancer cells. Fluorescence quantitative reverse transcription-polymerase chain reaction (qRT-PCR) and western blotting were used to measure the expression of ANXA3 mRNA and protein in two breast cancer cell lines (MDA-MB-231 and MCF-7). Three ANXA3 silencing shRNA plasmids (ANXA3-sh1-3) and one negative control plasmid were constructed, and the Lipofectamine transfection method was used for transfecting human breast cancer cell line MDA-MB-231. Flow cytometry was used to measure the transfection efficiency. The expression of ANXA3 protein was measured by western blotting. Cell cycle distribution and apoptosis were assessed by flow cytometry. Migration and invasion of the transfected cells were evaluated using wound healing and Transwell assays, respectively. The expression levels of ANXA3 mRNA and protein were significantly higher in the MDA-MB-231 cells than levels in the MCF-7 cells. Western blotting showed that the ANXA3 protein level was significantly lower in the MDA-MB-231-Sh cells than that in the MDA-MB-231 and MDA-MB-231-NC cells. In addition, the percentage of G0/1 cells and the apoptosis rate were significantly higher, while the cell proliferation rate was significantly lower, in the MDA-MB-231-Sh cells when compared with the MDA-MB-231-NC and MDA-MB-231 cells. The cell migration and invasion abilities were also lower in the MDA-MB-231-Sh cells than these abilities in the MDA-MB-231-NC and MDA-MB-231 cells. The present study investigated the relationships between ANXA3 and proliferation, apoptosis, migration and invasion of breast cancer cells to elucidate the mechanisms involved in the development, progression, invasion and metastasis of breast cancer.
MAKU: A Code Generator for Bullet Hell Games

In each genre of video-game, there are always commonalities that bind different titles to each other. In classifying these similarities, a game can be thought of its base genrespecific features and its further elaborations, to this set of commonalities. Specifying a game in this way allows the developer to focus on these elaborations, while ensuring conformity to preexisting genres and player biases. This thesis describes MAKU as a fully customizable system for generating HTML5 Canvas browser based games belonging to the Bullet Hell genre of video game. It consists of a domain specific language that encapsulates the core features and this functionality of this genre of video game along with an intelligent code generator, that interprets MAKU language game specifications and generates specialized source code. MAKU is equally accessible to domain-novices and domain-experts, and allows for the generation of games with variable sophistication. It shows that genres are indeed specifiable and well suited to code-generation.
Context in Web Search.

Web search engines generally treat search requests in isolation. The results for a given query are identical, independent of the user, or the context in which the user made the request. Nextgeneration search engines will make increasing use of context information, either by using explicit or implicit context information from users, or by implementing additional functionality within restricted contexts. Greater use of context in web search may help increase competition and diver-
Using domain knowledge for automated modelling of dynamic systems with equation discovery

The process of establishing an acceptable model of an observed dynamic system from measured data is a challenging task that occupies a major portion of the work of the mathematical modeler. In this thesis, we propose a knowledge-based approach to automated modeling of dynamic systems based on equation discovery methods. Most work in equation discovery is concerned with assisting the empirical approach to modeling physical systems. Following this approach, the observed system is modeled on a trial-and-error basis to fit observed data. None of the available domain knowledge about the observed system (or a very limited portion thereof) is used in the modeling process. The empirical approach contrasts with the theoretical approach to modeling, in which the basic physical processes involved in the observed system are first identified. A human expert then uses domain knowledge about the identified processes to write down a proper structure of the model equations. The equation discovery methods presented in the thesis deal with the problem of integrating the theoretical and empirical approaches to modeling of dynamic systems by integrating different types of theoretical knowledge in the discovery process. Two different types of domain-specific modeling knowledge are considered herein. The first concerns basic processes that govern the behavior of systems in the observed domain. The second concerns existing models that are already established in the domain. In addition, the scope of the existing equation discovery methods is extended toward the discovery of partial differential equations that are capable of modeling both temporal and spatial changes of the state of the observed system. The newly developed methods are successfully applied to different tasks of modeling real-world systems from artificial and real measurement data in the domains of population dynamics, neurophysiology, classical mechanics, hydrodynamics, and Earth science.
Bayesian Time Series Models

'What's going to happen next? ' Time series data hold the answers, and Bayesian methods represent the cutting edge in learning what they have to say. This ambitious book is the first unified treatment of the emerging knowledge-base in Bayesian time series techniques. Exploiting the unifying framework of probabilistic graphical models, the book covers approximation schemes, both Monte Carlo and deterministic, and introduces switching, multi-object, non-parametric and agent-based models in a variety of application environments. It demonstrates that the basic framework supports the rapid creation of models tailored to specific applications and gives insight into the computational complexity of their implementation. The authors span traditional disciplines such as statistics and engineering and the more recently established areas of machine learning and pattern recognition. Readers with a basic understanding of applied probability, but no experience with time series analysis, are guided from fundamental concepts to the state-of-the-art in research and practice.
The effect of financial performance announcement on share returns of firms listed at the nairobi securities exchange

Corporate events have numerous effects on the stock market and it has been observed that share price movements is an area of research that has attracted the attention of various researchers, Firms listed in the security markets are required by law to communicate periodically their financial performance to stakeholders through financial announcements. However, efficient markets immediately absorb and reflect the new information into the share prices. This paper examines the effect of financial performance announcement on share returns of firms listed at the Nairobi securities exchange by analyzing daily share prices and market returns for the period between 2010 and 2013, using the event study methodology, secondary data was collected and analyzed using the market model. The results obtained indicate that the average abnormal returns were not significant at 5% probability level. Thus the NSE is of semi-strong efficiency, whereby it is not possible to earn abnormal returns in the NSE using the publicly available information.
Module-level Verification For DRRA and DiMarch

This thesis presents a verification process for the electronic hardware design implemented using Very-high-speed integrated circuits Hardware Description Languages (VHDL). In this study, Register Transfer Level(RTL) modules are verified. They belong to Dynamic Reconfigurable Resource Array (DRRA) project and Distributed Memory Architecture (DiMArch) project. Firstly, detailed description and specification of each module provided from designer during implementation of the test. According to the specification, simulation based tests are used as white-box verifications of the modules. Methodology and implementation details for verification of the system are briefly explained. The basic objective of this thesis is finding location of bugs inside the design which improves the implementation of DRRA and DiMArch projects. Results show that all bugs determined during verification have been reported and fixed, leading to a bug-free implementation.
Assessing Modelling Skills

This chapter reports on the development of test instruments for the assessment of modelling skills. It summarises the progress made in the last few years and gives a rationale for the latest test used with students at the University of Ulster at the beginning of the academic year 2002/03. Results obtained from testing undergraduates in the honours course in Mathematics, Statistics and Computing are analysed and inferences are drawn about how students understand the various stages in the modelling cycle.