Miracle-dz/UniFAR-FTUs huggingface dataset:
Designing and Implementing Effective Adapted Physical Education Programs.

This book is dedicated to all physical educators who are willing to take a risk and try something new that is outside their comfort zone so that the students they serve can acquire physical and motor skills that will enrich and enhance the quality of their lives. Preface This book has been written to assist adapted and general physical educators who are dedicated to ensuring that the physical and motor needs of all their students are addressed in physical education. While it is anticipated that adapted physical educators, where available, will typically take the lead in many of the planning and assessing decisions addressed in this book, the content has been organized and presented in such a manner as to facilitate its use by all physical educators. While it would be great to assume that all general physical education (GPE) teachers would have access to Adapted Physical Education (APE) specialists to help them address the needs of their students with disabilities, this unfortunately is not the case in many parts of the country. When APE specialists are not available, GPEs need the tools to make appropriate planning, assessing, and instructional decisions to address the needs of their students with disabilities. To this end, the term physical educator is used throughout this book to signify the person responsible for providing the physical education services to a student with a disability. This mission for physical educators is not without challenges given the increasing demands for accountability , decreasing resources, and increases in both class size and diversity of the students in our programs. For example, under the Individuals with Disabilities Act (IDEA), 12% of school-age children have significant enough delays to qualify for special education services. In physical education, approximately 4% of these students will have severe enough needs to require APE services, and the remaining 8% will have no significant delays or less severe delays that can be addressed in GPE. Translating this into actual numbers would look like this: If you are an elementary physical education teacher and your school has 500 students, 20 students would have great enough needs to require APE and another 40 students would have less severe needs that typically could be addressed in GPE but may require some APE support services. Of course, serving these students is in addition to the normal range of abilities of the other 420 non-special education students in your classes. …
3D-rigid objects motion segmentation: a study of practical limitations

Motion segmentation or recovering structure-and-motion (SaM) from images of dynamic scenes plays a significant role in many computer-vision applications ranging from local navigation of a mobile robot to image rendering for multimedia applications. Since in many applications, the exact type of motion and camera parameters are not known, a priori, the fundamental matrix is commonly used as a general motion model. Although the estimation of a fundamental matrix and its use for motion segmentation are well understood, the studies of conditions governing the feasibility of segmentation for different types of motions are largely unaddressed. In this thesis, the feasibility of motion segmentation using the fundamental matrix is analysed. The focus is on a scene including multiple SaMs viewed by an uncalibrated camera. The quantifiable measures for the degree of separation were theoretically derived for the types of motion that are usually seen in practical applications, namely, motion from background, translational motions and planar motions. Sets of condition to guarantee successful segmentation were proposed via extensive experiments, the design of which was based on the Monte Carlo statistical method, using synthetic images. Experiments using real image data were set up and executed to examine the relevance of those conditions to the problems encountered in real applications. The experimental results show the capability of the proposed conditions to correctly predict the outcome of several segmentation scenarios. In addition, they also show that the Monte Carlo experimental results are very relevant to the problems encountered in real applications. In practice, the success of motion segmentation could
Concise Encyclopedia of Modelling and Simulation

Selected Articles: Abstract realization theory. Aggregation, chained. Aggregation: model reduction. Automatic modelling of three-dimensional objects. Bayes' rule. Causality. Chaotic behavior. Closed-loop systems. Cognition. Combined discrete and continuous models: firmware. Comparison systems. Composite systems. Constraints. Data. Databases. Deterministic systems. Differential equations. Digraphs. Distributed parameter systems. Emulation and microprogramming. Entropy. Exogenous variables. Feedback loops. Finite-difference method. Finite-element method. Flexible manufacturing systems. Forecasts. Fuzzy models. Hypotheses. Identification. Identification: correlation methods. Identification: pseudorandom signal method. Information processing. Integrodifferential systems. Kalman filters. Laplace transforms. Linear systems: Kronecker canonical forms and invariants. Markov processes. Mechanical systems simulation. Model-based fault diagnosis. Modelling of industrial robots. Nonlinear effects and their modelling. Nuclear reactor modelling. Object-oriented simulation. Observability. Open-loop systems. Outputs. Parameters. Partial differential equation models: numerical solution. Petri nets. Polynomial matrices in systems theory. Project management: network models. Reliability. Servovalves, electrohydraulic. Simulation languages. Singular systems. Smith--McMillan canonical forms for rational matrices. Stochastic processes. Taxonomy. Time horizons. Transfer functions. Truncation. Validation of identified models. Verification. Vibrations and vehicle dynamics. Wave propagation in periodic structures. Workshop dynamic modelling.
The Laplace Distribution and Generalizations: A Revisit with Applications to Communications, Economics, Engineering, and Finance

This book describes the inferential and modeling advantages that this distribution, together with its generalizations and modifications, offers. The exposition systematically unfolds with many examples, tables, illustrations, and exercises. A comprehensive index and extensive bibliography also make this book an ideal text for a senior undergraduate and graduate seminar on statistical distributions, or for a short half-term academic course in statistics, applied probability, and finance.
A methodological comparison of customer service analysis techniques

Techniques used to analyze customer service data need to be studied. Two primary analysis protocols, importance-performance analysis (IP) and gap score analysis (GA), are compared in a side-by-side comparison using data from two major customer service research projects. A central concern is what, if any, conclusion might be different due solely to the analysis technique employed. Although the results of the methodological comparisons rely on generally similar patterns in the data, strong differences in managerial decision recommendations are shown. This directs researchers' and managers' attention to the form of analysis as much as the data gathering instruments themselves. Such a methodological comparison also allows for a deeper understanding of the strengths and weaknesses of the two techniques, and leads to a discussion of the methodological issues underlying customer service analysis.
Physical and Thermal Characterization of Alkali Treated Rice Husk Reinforced Polypropylene Composites

Rice husk (RH) reinforced polypropylene- (PP-) based composites were prepared by compression molding. The RH was treated with sodium hydroxide solution (1 wt%); then composites were prepared using varying percentages of RH (5 to 20 wt%). The thermomechanical, spectroscopic, and morphological properties of the prepared composites (RH-PP) were investigated. The scanning electron microscopic (SEM) analysis showed better interfacial adhesion between alkali treated RH and the matrix PP. The Fourier Transform Infrared (FTIR) spectra confirmed the chemical bonding.The results revealed that physical properties as well as thermal stability of the composites improved significantly with the addition of alkali treated RH in PP matrix.
Characterization of material strength properties using probabilistic mixture models

We consider the use of parametric mixture models for modelling the characteristics of brittle materials. Such mixture models are generalizations of well-known Weibull and related models often used in reliability studies. The properties of such mixture models are described. An attractive feature of such models is that they include standard models as a special case, but allow these standard models to be extended in a natural way. It is argued that they therefore offer a more flexible system for capturing the properties of brittle materials and moreover that the parameters characterizing such mixture models have useful interpretations in practice. The fitting of such models is described to experimental data involving a Carbon 10 data set. An important aspect of the use of such models is their validation against experiment. The use of a bootstrap method for doing this is described. The advantage of a bootstrap technique is that it allows confidence statements and significance levels to be computed without resort to elaborate statistical analysis or reliance on asymptotic theory. A numerical example is given illustrating its ease of use.
Estudio del rendimiento de sistemas de gestión de bases de datos New SQL

nuevas tecnologias disenadas para este entorno. A pesar de las grandes ventajas que poseen estos sistemas, han dejado de lado funcionalidades como las transacciones o el lenguaje SQL. El presente trabajo se centra en el estudio de rendimiento de dos nuevos sistemas adaptados a los requerimientos actuales que pretenden ofrecer las funcionalidades de los sistemas tradicionales, como las transacciones y el lenguaje SQL por su facilidad y popularidad. Las pruebas realizadas miden el rendimiento de ambos sistemas en situaciones con distintos tipos de operaciones, algunas con alta carga de escritura y otras con alta de lectura. Asimismo, se ha variado el tamano de la base de datos para observar la escalabilidad de ambos sistemas. Por ultimo, en base a los datos obtenidos se puede concluir que ambos sistemas ofrecen una capa de compatibilidad completa con el lenguaje SQL y un rendimiento similar en situaciones con alta carga de datos. Sin embargo, el comportamiento entre ambos sistemas es muy diferente, ya que Apache Phoenix necesita mas tiempo en operaciones de lectura mientras que Splice Machine lo emplea en operaciones de escritura. ---ABSTRACT---The volume of new data generated in last years has forced the development of new systems adapted to this new environment. Although the new developed systems has caracteristics adapted to the current requirements, functionalities like transactions or SQL language are not available for this systems. The current study is focused on the performance of two recently-developed systems, Apache Phoenix and Splice Machine, which tries to offer the best of both worlds: escalabilty and performance of new systems, but integrity of data and easy of use with SQL. The developed benchmark is designed to measure the performance of these systems on situations with heavy read load or with heavy write load. In addition, several database sizes are used to check the behavior of the systems. Finally, based on the results we can conclude that both systems offer the same throughput when the database is big enough but the behavoir of each system is different. Apache Phoenix needs more time to do read operations while Splice Machine uses more time on write operations.
Computational Analysis Of Structure And Function Of Genomic Sequences

COMPUTATIONAL ANALYSIS OF STRUCTURE AND FUNCTION OF GENOMIC SEQUENCES Abanish Singh, Ph.D. The University of Texas at Arlington, 2008 Supervising Professor: Nikola Stojanovic The genetic code consists of long chains of deoxyribonucleic acid (DNA) present in every cell of a living organism. These chains contain both functional and nonfunctional DNA sequences, and their proportion in the mix varies widely along the tree of life. Generally, more complex organisms tend to feature large amounts of “junk” DNA, whose importance is still subject of a debate in the scientific circles. The functional sequences include coding sequences (genes) and various types of signals, mostly, but not exclusively, controlling the regulation of coding sequences, i.e. activating and deactivating the expression of genes, during the developmental stage, in response to external stimuli, or during housekeeping activities in a cell or organism. Such expression leads to the production of various ribonucleic acids (RNAs), out of which the most common is messenger RNA (mRNA) which serves as a template for chains of amino acids, or polypeptides. The polypeptides themselves fold and group into proteins, providing structural components and functionalities to the living cells and tissues. Regulatory signals in DNA tend to act as parts of complex networks, whose structure and dynamics have been subject to biomolecular studies for many
Panduan PenyusunanCAPAIAN PEMBELAJARAN LULUSAN PROGRAM STUDI

Panduan ini diperuntukkan bagi pengelola program studi atau forum penyelenggara program studi sejenis dalam mengaji, mengoreksi, menyesuaikan, merumuskan ulang, atau memperbaharui rumusan CP lulusannya, agar rumusannya memenuhi ketentuan yang berlaku dan sesuai dengan esensi CP. Bagi perguruan tinggi yang akan mengajukan program studi baru atau program studi yang belum menyatakan “kemampuan” lulusannya secara faktual dan jelas, panduan ini dapat digunakan sebagai acuan dalam merumuskan CP lulusannya. CP lulusan program studi selain merupakan rumusan tujuan pembelajaran yang hendak dicapai dan harus dimilki oleh semua lulusannya, juga merupakan pernyataan mutu lulusan. Oleh karena itu, program studi berkewajiban untuk memiliki rumusan CP yang dapat dipertanggungjawabkan baik isi, kelengkapan deskripsi sesuai dengan ketentuan dalam SN DIKTI, serta kesetaraan level kualifikasinya dengan Kerangka Kualifikasi Nasional Indonesia ( KKNI ) . Karena merupakan rumusan tujuan pendidikan dan pernyataan mutu lulusan, perumusan CP merupakan bagian yang tidak terpisahkan dari pengembangan kurikulum program studi. Manfaat CP selain untuk mengarahkan pengelola program studi agar mencapai target mutu lulusan, juga memberikan informasi kepada masyarakat tentang pernyataan mutu lulusan program studi di perguruan tinggi. Panduan ini berisi tentang dasar hukum perlunya dirumuskan CP, uraian singkat KKNI, pengertian CP, ketentuan-ketentuan yang tercantum dalam KKNI dan SN DIKTI yang terkait dengan CP, tahapan penyusunan CP, dan diakhiri dengan penjelasan terhadap pertanyaan umum yang diharapkan dapat menambah wawasan serta mempertajam pemahaman untuk proses penyusunan CP
Stimulating Prewriting Skills with the Help of Pictorial Images

ABSTRACT Increasingly, children who start school have already acquired basic reading and writing skills provided by their parents or preschool teachers. However, even if we choose to accept the fact that by teaching preschool children how to read and write parents wish to help them integrate successfully into the school environment and methods of work, we still need to emphasize that certain activities are not in balance with the needs, abilities, and potentials of a preschool child. At the same time some other possibilities are not being used enough (e.g., visual art). The present research introduces this aspect and presents training prewriting skills based on visual art activities given that visual art represents one of the primary media that every child spontaneously uses in his or her preschool years.
Design and Development of Miniature Dual Antenna GPS-GLONASS Receiver for Uninterrupted and Accurate Navigation

Global Positioning System (GPS), Global Navigation Satellite System (GLONASS), and GPS-GLONASS receivers are commonly used for navigation. However, there are some applications where a single antenna interface to a GPS or GPS-GLONASS receiver will not suffice. For example, an airborne platform such as an Unmanned Aerial Vehicles (UAV) will need multiple antennae during maneuvering. Also, some applications will need redundancy of antenna connectivity to prevent loss of positioning if a link to satellite fails. The scope of this work is to design a dual antenna GPS-GLONASS navigation receiver and implement it in a very small form-factor to serve multiple needs such as: provide redundancy when a link fails, and provide uninterrupted navigation even under maneuvering, also provide improved performance by combining data from both signal paths. Both hardware and software architectures are analyzed before implementation. A set of objectives are identified for the receiver which will serve as the benchmarks against which the receiver will be validated. Both analysis and objectives are highlighted in this paper. The results from the tests conducted on such a dual antenna GPS-GLONASS receiver have given positive results on several counts that promise a wider target audience for such a solution. Keywords—dual-antenna receiver, embedded system, GLONASS, GPS, miniaturization.
eLearning lecturer workload: Working smarter or working harder?

Lecturers who move into the online learning environment often discover that the workload involved not only changes, but can be overwhelming as they cope with using digital technologies. Questions arise, given the dissatisfaction of lecturers with lowering morale and increasing workload, whether future expansion of this teaching component in tertiary institutions is sustainable. The challenge facing lecturers now, and in the future, is about learning workload management strategies which effectively manage the workload they encounter in the online learning environment. This paper describes a case study (which is a work-in-progress) examining the perceptions of online workload cf. face-to-face teaching of lecturers who are experienced in e-teaching. As well, it identifies strategies the lecturers have developed or adopted to manage this element of their workload.
Speed Estimation of Walking and Running Using a Wearable Accelerometer Device

Recently, wearable devices on human activity sensing have become increasingly popular.In this paper, we propose a new method for walking and running speed estimation. A wearable device based on a tri-axial accelerometer is fixed on the chest to record the acceleration data of human body. Using the acceleration data, we design a fuzzy inference system (FIS) to determine whether the subject is motionless or locomotor. If the subject is walking or running, artificial neural networks (ANNs) are then used to estimate the speed. To validate the performance of the proposed method, we test accelerometer data collected from 3 subjects walking and running on the treadmill at different speed. The result shows good agreement between actual and estimated speed, the average accuracy is 97.78% for walking and 97.36% for running.
Adaptive space-time sharing with SCOJO.

Coscheduling is a technique used to improve the performance of parallel computer applications under time sharing, i.e., to provide better response times than standard time sharing or space sharing. Dynamic coscheduling and gang scheduling are two main forms of coscheduling. In SCOJO (Share-based Job Coscheduling), we have introduced our own original framework to employ loosely coordinated dynamic coscheduling and a dynamic directory service in support of scheduling cross-site jobs in grid scheduling. SCOJO guarantees effective CPU shares by taking coscheduling effects into consideration and supports both time and CPU share reservation for cross-site job. However, coscheduling leads to high memory pressure and still involves problems like fragmentation and contextswitch overhead, especially when applying higher multiprogramming levels. As main part of this thesis, we employ gang scheduling as more directly suitable approach for combined space-time sharing and extend SCOJO for clusters to incorporate adaptive space sharing into gang scheduling. We focus on taking advantage of moldable and malleable characteristics of realistic job mixes to dynamically adapt to varying system workloads and flexibly reduce fragmentation. In addition, our adaptive scheduling approach applies standard job-scheduling techniques like a priority and aging system, backfilling or easy backfilling. W e demonstrate by the results of a discrete-event simulation that this dynamic adaptive space-time sharing approach can deliver better response times and bounded relative response times even with a lower multiprogramming level than traditional gang scheduling. Reproduced with permission of the copyright owner. Further reproduction prohibited without permission.
Innovation in Italy: the a.muse project

Museum professionals and the public have long been aware of the inadequacy of Italian museums in view of the unparalleled artistic treasures they contain. The need for reform led to a major pilot project aimed at identifying the direction of ongoing change so as to point the way for Italian museums and to foster communication among the most forward‐looking institutions. Maurizio Maggi is scientific director of the Arch Institute (Institute for Assessment and Research on Cultural Heritage of the Rosselli Foundation of Turin, Italy) and was manager of the a.muse research project. He has developed surveys and published books and articles on the cultural heritage, environmental management and sustainable tourism.
Message-oriented Middleware for Scalable Data Analytics Architectures

The democratization of Internet allowed many more people to use online services and enjoy their benefits. The traffic towards websites became tremendous those recent years, especially with the apparition of social networks. Mobile application, televisions and other non--‐computer devices also get connected to the Internet and use it to provide services to the end--‐users: Video on--‐demand, music streaming and so on. These applications rely on powerful backend servers that handle the requests made by devices and provide statistics and metrics about application usage. These metrics can be generated by aggregating the access logs (e.g. HTTP requests log), logs that are potentially extremely large. Big data tools and analytics, providing a way to handle this huge number of records, come then in hand, as typical client--‐server architectures, with a single database storing all the data, reach their limits in terms of performance and capacity. Data duplication, combined to dedicated and specialized databases storing it, is the key to efficient data handling. How to fill up these databases in an elegant, efficient and scalable manner is the remaining question, and message--‐oriented middleware may be a viable answer. This project aims at exploring the capabilities of such middleware, identifying what are the benefits and the drawbacks in using them and presenting how they can be integrated in a real--‐world application that needs to aggregate events and logs on a large scale. Apache Kafka and RabbitMQ, two message--‐oriented middleware, are benchmarked and compared, on both performance metrics and qualitative criteria. A fully working proof--‐ of--‐concept (of an already--‐existing industry product modified to use a message--‐oriented middleware and a specialized data warehouse system) is developed and presented, to conclude on the usefulness of message--‐oriented middleware when designing scalable data analytics architectures.