Miracle-dz/UniFAR-FTUs huggingface dataset:
DEVELOPMENT OF AN INSTRUMENT TO ASSESS STATISTICAL THINKING

The Comprehensive Assessment of Outcomes in a First Statistics course (CAOS) test consists of 40 multiple-choice items that were judged by a group of Statistics Education experts in 2004 to cover important learning outcomes for a first course in statistics (delMas, Garfield, Ooms & Chance, 2007). More currently, the Guidelines for Assessment and Instruction in Statistics Education (GAISE) college report suggested several important learning goals for students enrolled in an introductory statistics course which have been endorsed by the American Statistical Association. This paper describes the development of a new instrument to assess the desired student learning outcomes presented in the GAISE college report. This paper discusses the process used to select and add items, which was based not only on content analysis but also on psychometric methods (e.g., item response theory, differential item functioning). INTRODUCTION In 1997 Gal and Garfield issued a challenge to the statistics education community to produce and use better assessments of student outcomes in teaching and research (Gal & Garfield, 1997). One project that attempted to respond to this challenge was ARTIST (Assessment Resource Tools for Improving Statistical Thinking) funded by the National Science Foundation (DUE-0206571). Over a five-year period a team of researchers and advisers developed assessments that could be used in classroom or research settings to evaluate students' statistical literacy, reasoning, and thinking. One of the assessments developed as a part of the ARTIST project was the Comprehensive Assessment of Outcomes in Statistics (CAOS).
Strength relations in phonology

This collection of papers explores the theme of phonological strength. The general notion of strength plays a central role in explaining a variety of apparently disparate phonological effects relating to language acquisition, tone and pitch accent patterns, as well as segmental distribution. The authors analyze data from a wide range of languages and from a number of current theoretical perspectives.
Boosting VAUCANSON’s Iterators

Vaucanson is a generic finite state machine manipulation platform. We have based our genericity on the ability to not only support various types of automata, but also to use different data structures to reprensent them. In its current state, we have various techniques to iterate over sets of transitions, however, none of them is really independent of the data structures. To overcome this problem, we have integrated the design pattern Iterator. Our goal is to assess the improvements given by this method in terms of performance and code writing.
Determining Useful Tools for the Flipped Science Education Classroom.

This paper reports the results of a 3-year longitudinal study on the perceived utility of supplying elementary science teacher interns with four asynchronous tools to assist them in creating their first lesson plan of a constructivist nature. The research accessed qualitative and quantitative measures to sample intern reaction to the notion of a flipped classroom. As cited by the Flipped Learning Network (FLN, 2014), “Flipped Learning is a pedagogical approach in which direct instruction moves from the group learning space to the individual learning space, and the resulting group space is transformed into a dynamic, interactive learning environment where the educator guides students as they apply concepts and engage creatively in the subject matter. ” Of the flipped resources supplied to support the constructivist lesson framework of Driver and Oldham (1986), students found the handbook on formative assessment strategies to be the most helpful. Overall the implementation of the four supplemental resources in a flipped classroom mode culminated in at least 10% better grades on the first lesson plan (over 3 years) by comparison to the 2 years prior to the intervention.
The Influence of Direct Instruction on Asynchronous Educational Discussions.

Online learning is an important and rapidly growing area, and asynchronous discussions are a vital component of online courses. This doctoral study examined the influence of discussion moderator messages, specifically messages with direct instruction content, had on those discussions. This study obtained data from content analysis of course discussions. The subjects for this study were the instructor and all 15 students enrolled in a fully-online graduate course at a large, public university medical center. The study found that the direct instruction content of an instructor message influenced students replying to that instructor message as well as students reading other student replies to that instructor message. The current study found that the direct instruction content of the instructor message may also influence students reading an instructor message and students responding to other replies to that instructor message. Instructors can use these findings to more effectively moderate their online discussions.
Supporting Enactment of Aspect Oriented Business Process Models : an approach to separate cross-cutting concerns in action

Monitoring business processes is an important area in Business Process Management. This area not only supports monitoring but also enables flexibility. Thus, it has been investigated in many other areas like Business Activity Monitoring, Exception Handling, Aspect Oriented Business Process Management, etc. These areas require to define how a process instance should be monitored from different perspectives. However, current definitions are coupled to control-flow perspective, which applies some limitations. For example, we cannot define a rule to capture situations in which an account balance is read - regardless of its process. To capture such situations, we propose an approach to define monitoring rules. This approach enables composition of rules in a way to be decoupled from a specific perspective. To validate the result, we implemented a rule editor and a monitoring service, called Observer Service. These artefacts are used to support the definition of monitoring rules and track process instances, correspondingly. Finally, we investigated the validity and relevancy of the artefacts through a banking case study.
Geefgedrag aan organisaties in Vlaanderen

De Vlaming geeft anno 2009 vooral geld en materiele zaken eerder dan tijd (vrijwilligerswerk). Bijna acht op de tien Vlamingen stort geld op een rekening en/of verleent een andere vorm van financiele steun aan een maatschappelijke organisatie of een goed doel. Ruim zeven op de tien schenkt goederen. Een kleine 20% daarentegen doet regelmatig aan vrijwilligerswerk. Een minderheid van nog geen 10% rapporteert geen enkele vorm van geefgedrag. De resultaten bevestigen dat geefgedrag aan organisaties ongelijk verdeeld is in de Vlaamse samenleving. Een hogere sociaal-economische positie gaat vaker samen met het geven van tijd en/of geld en in natura. Voorts blijkt deelname aan vrijwilligerswerk anno 2009 nog steeds gerelateerd aan kerkgang, en verkleint het hebben van jonge kinderen de kans op het geven van tijd aan organisaties (maar niet op het geven van geld en/of materiele zaken). Ten slotte hebben mannen en vrouwen een gelijke kans op deelname aan vrijwilligerswerk, maar behoren vrouwen wel vaker tot de groep van ‘uitsluitend materiele gevers’.
Modeling Coordination as Resource Flow: An Object-Based Approach

Workflow management systems provide guidance to individuals performing tasks in an organization. This is typically achieved via a central workflow engine that executes descriptions of organizational processes in order to guide and coordinate activities of individuals in the organization. In this paper, we present a process modeling approach in which processes are modeled as independent “process fragments” that represent activities performed by a single actor. Each fragment is a specification of the control flow from one activity to the next, that leads to the completion of a task. Coordination among concurrent activities performed by different actors is modeled as resource flow: dependencies among coordinated activities are represented by the resources shared by concurrent activities. This allows processes performed by autonomous process performers distributed across a network to be coordinated without sacrificing individual autonomy.
X-window based user interface and network communications for an image network

Recent advances in the field of high speed computer network have opened many new applications. One such application is the transfer of color image data between geographically distributed color image databases. ImageNet is a distributed color image database system with multiple database nodes and user workstation linked by a communications network. The work presented here is the design and implementation of user-interface and communication software for a workstation. The system was emulated on the Ethernet in Computer Engineering Research Laboratory. Dedicated servers running at a database node simulate database operations. Experimental comparison between RPC with UDP and RPC with TCP was made and the use of RPC/UDP for image-transfer is investigated in this document. The X-Window user interface is user friendly. It enables users to retrieve image lists and images from remote workstations. The use of wscrawl for the remote consultation enables more than two users to participate in remote consultation from different workstations.
Development of a Matlab(R) Toolbox for the Design of Grey-Box Neural Models

A Matlab Toolbox is developed for the design, construction and validation of grey-box neural network models. This toolbox, available in www.diinf. usach.cl=gacuna has been tested in simulations with a continuously stirred reactor process. The grey-box model performs well for validation data with 5% additive gaussian noise for one-step-ahead (OSA) and model-predictive-output (MPO) estimations.
Entre l’eau, l’arbre et le ciel. Figures paysagères suédoises et construction de l’identité nationale

Ce texte interroge la notion de figure paysagere a travers le cas de la Suede qui, depuis le XIXe siecle, a produit un ensemble particulierement homogene et partage de figures emblematiques de la nature et des campagnes suedoises. Comment ces figures sont-elles transmises mais aussi transformees dans la Suede actuelle et dans quelle mesure peuvent-elles servir de materiaux de construction a l’identite collective ? Des elements de reponse sont recherches d’une part dans les modes de transmission de la memoire collective, d’autre part dans la gestion des composantes naturelles et architecturales de ces figures paysageres et dans les politiques actuelles de patrimonialisation et de protection des espaces naturels.
Aligning linguistically motivated phrases

In this paper, we describe the architecture of a sub-sentential alignment system that links linguistically motivated phrases in parallel texts. We conceive our sub-sentential aligner as a cascade model consisting of two phases. In the ﬁrst phase, anchor chunks are linked on the basis of lexical correspondences and syntactic similarity. In the second phase, we will focus on the more complex translational correspondences based on observed translation shift patterns. The anchor chunks of the ﬁrst phase will be used to limit the search space in the second phase. We present the ﬁrst results of our sub-sentential alignment system, which links linguistically motivated chunks. In our baseline system, the obtained recall scores range from 44% to 59% and precision scores from 90% to 98% depending on text type. We experimented with two different types of bilingual dictionaries to generate the lexical correspondences: a handcrafted bilingual dictionary and probabilistic bilingual dictionaries. We demonstrate that although the handcrafted dictionary is twice the size of the probabilistic dictionary, the obtained recall scores are lower.
Constructing & Evaluating Context-Aware Recommender System in a case study with webshop carts and AB-testing

A potential customer spends around five minutes on a webshop and visits roughly ten pages. To maximise sales it is crucial that the most relevant products is presented within those limits. The solution is to use a recommender system that predicts and recommends items on a personal level to the customer using collaborative filtering. Therefore, the project aim was to construct a working prototype for 3Bits and Lindex with an AB-testing phase to validate performance. Such evaluation of the collaborative filtering paradigm is not very common and as it only focus on on-going carts with binary implicit feedback, it does not take other information sources into account. To thoroughly evaluate the performance in this particular configuration five testphases was used: experimental prototype cross-validation tests, prototype testing using historical data sets, prototype testing using contextual pre-filtering, prototype crossvalidation of synthetic generated data and finally AB-testing. A lot of literature and data was studied in order to be able to construct the evaluation tests. Furthermore, to enable AB-testing 3Bits had to integrate the prototype into Lindex web page in a way that maintained the professional level. The evaluation shows a high accuracy compared to recommendations based on the most frequent occurring items. Furthermore, results from AB-tests of the projectalgorithm against the old recommendation services at Lindex showed contradicting results. Additionally, the evaluation also showed that incorporating contextual pre-filtering to the prototype did not increase performance.
ABCXYZ: vector potential (A) and magnetic field (B) code (C) for Cartesian (XYZ) geometry using general current elements. [In LRL TRAN for CDC > 600 computer]

ABCXYZ is a computer code for obtaining the Cartesian components of the vector potential and the magnetic field on an observed grid from an arrangement of current-carrying wires. Arbitrary combinations of straight line segments, arcs, and loops are allowed in the specification of the currents. Arbitrary positions and orientations of the current-carrying elements are also allowed. Specification of the wire diameter permits the computation of well-defined fields, even in the interiors of the conductors. An optical feature generates magnetic field lines. Extensive graphical and printed output is available to the user including contour, grid-line, and field-line plots. 12 figures, 1 table.
Understanding MySQL internals

Although MySQL's source code is open in the sense of being publicly available, it's essentially closed to you if you don't understand it. In this book, Sasha Pachev -- a former member of the MySQL Development Team -- provides a comprehensive tour of MySQL 5 that shows you how to figure out the inner workings of this powerful database. You'll go right to heart of the database to learn how data structures and convenience functions operate, how to add new storage engines and configuration options, and much more.The core of Understanding MySQL Internals begins with an Architecture Overview that provides a brief introduction of how the different components of MySQL work together. You then learn the steps for setting up a working compilable copy of the code that you can change and test at your pleasure. Other sections of the book cover: Core server classes, structures, and APIThe communication protocol between the client and the serverConfiguration variables, the controls of the server; includes a tutorial on how to add your ownThread-based request handling -- understanding threads and how they are used in MySQLAn overview of MySQL storage enginesThe storage engine interface for integrating third-party storage enginesThe table lock managerThe parser and optimizer for improving MySQL's performanceIntegrating a transactional storage engine into MySQLThe internals of replication Understanding MySQL Internals provides unprecedented opportunities for developers, DBAs, database application programmers, IT departments, software vendors, and computer science students to learn about the inner workings of this enterprise-proven database. With this book, you will soon reach a new level of comprehension regarding database development that will enable you to accomplish your goals. It's your guide to discovering and improving a great database.
Analyzing the Combined Effects of Measurement Error and Perturbation Error on Performance Measurement

Title of Dissertation: ANALYZING THE COMBINED EFFECTS OF MEASUREMENT ERROR AND PERTURBATION ERROR ON PERFORMANCE MEASUREMENT Geoffrey M. Stoker, Doctor of Philosophy, 2014 Directed By: Professor Jeffrey K. Hollingsworth, Department of Computer Science Dynamic performance analysis of executing programs commonly relies on statistical profiling techniques to provide performance measurement results. When a program execution is sampled we learn something about the examined program, but also change, to some extent, the program's interaction with the underlying system and thus its behavior. The amount we learn diminishes (statistically) with each sample taken, while the change we affect with the intrusive sampling risks growing larger. Effectively sampling programs is challenging largely because of the opposing effects of the decreasing sampling error and increasing perturbation error. Achieving the highest overall level of confidence in measurement results requires striking an appropriate balance between the tensions inherent in these two types of errors. Despite the popularity of statistical profiling, published material typically only explains in general qualitative terms the motivation of the systematic sampling rates used. Given the importance of sampling, we argue in favor of the general principle of deliberate sample size selection and have developed and tested a technique for doing so. We present our idea of sample rate selection based on abstract and mathematical performance measurement models we developed that incorporate the effect of sampling on both measurement accuracy and perturbation effects. Our mathematical model predicts the sampling size at which the combination of the residual measurement error and the accumulating perturbation error is minimized. Our evaluation of the model with simulation, calibration programs, and selected programs from the SPEC CPU 2006 and SPEC OMP 2001 benchmark suites indicates that this idea has promise. Our results show that the predicted sample size is generally close to the best sampling rate and effectively avoids bad choices. Most importantly, adaptive sample rate selection is shown to perform better than a single selected rate in most cases. ANALYZING THE COMBINED EFFECTS OF MEASUREMENT ERROR AND PERTURBATION ERROR ON PERFORMANCE MEASUREMENT
PEMETAAN MANAJEMEN PEMBINAAN SEKOLAH SEPAK BOLA(SSB) YANG BERADA DI BAWAH NAUNGAN IKA SSB (IKATAN KELUARGA SEKOLAH SEPAK BOLA) DI KABUPATEN BANTUL

Pemetaan tentang manajemen di SSB di bawah naungan IKA SSB Bantul belum dilakukan. Penelitian ini bertujuan untuk mengetahui keadaan manajemen pembinaan SSB yang berada di bawah naungan IKA SSB di Kabupaten Bantul. Jenis penelitian merupakan penelitian deskriptif. Metode yang digunakan adalah survei dengan teknik pengambilan data menggunakan angket. Populasi pada penelitian ini adalah SSB yang berada dalam naungan IKA SSB Bantul. Teknik sampling dalam penelitian ini adalah purposive sampling, dengan kriteria yaitu: (1) SSB yang masih aktif di bawah naungan IKA SSB Bantul, (2) setiap SSB diwakili oleh dua orang, dan (3) masih aktif dalam pembinaan sepak bola. Berdasarkan kriteria tersebut yang memenuhi berjumlah 42 orang dari 21 SSB. Teknik analisis data menggunakan analisis deskriptif yang dituangkan dalam bentuk persentase. Berdasarkan hasil penelitian maka dapat disimpulkan bahwa pemetaan manajemen pembinaan SSB yang berada di bawah naungan IKA SSB di Kabupaten Bantul dalam kategori kurang persentase sebesar 28,57% (6 SSB), kategori sedang persentase sebesar 38,09% (8 SSB), dan kategori baik persentase sebesar 33,33% (7 SSB).
Modelling the Dynamic Relationship between U. S.’ and Malaysia’s Stock Market Volatility

A number of previous studies have been devoted to investigate properties of volatility in emerging markets. Rather than focusing on the stock market volatility alone, we examine the dynamic inter-relationship of stock market volatility between two markets, namely the U. S. and Malaysia. The GARCH model is used to generate the volatility series for these two markets. Later, the system equation of VAR model is used to investigate the inter relationship between the volatility of stock market of U. S. and Malaysia using the volatility series generated from GARCH model. The results are compared between three sub-periods, i.e. pre-crisis, crisis and post-crisis periods. Our results reveal very low or insignificance impact of stock market volatility from Malaysia on the stock market volatility in U. S. On the other hand, stock market volatility of U. S. has relatively low impact on the stock market volatility in Malaysia in the preand post-crisis periods. The impact is larger during the crisis period. Exchange rate and oil price shocks have very low explanatory impact on the volatility of stock markets in both markets.
Prediction of MHC class II epitopes using genetic algorithms and other metaheuristics

As a part of immunological bioinformatics research metaheuristics are used in the prediction of amino acid chains binding to the MHC-II molecule. A method of prediction the Gibbs sampler, developed by Nielsen et. al.[8], uses simulated annealing to optimise an objective function. We have replaced the simulated annealing with a genetic algorithm, in an attempt to perform a better optimisation and thereby achieve a better prediction. The bioinformatical problem of MHC-II binding is interpreted from a computer science perspective. The genetic algorithm has been implemented in Java. The results have been thoroughly analysed and compared with the Gibbs sampler using the statistical tool R. The genetic algorithm has proven more effective at optimising the objective function than the Gibbs sampler. This improvement in optimisation has not entailed a better prediction. This leads to the conclusion that to get a better prediction a better objective function has to be found.