Miracle-dz/UniFAR-FTUs huggingface dataset:
Adaptación de técnicas metaheurísticas a diferentes escenarios

German Dupuy, Natalia Stark, Fernando Sanz Troiani, Hugo Alfonso, Gabriela Minetti, Carolina Salto Laboratorio de Investigación en Sistemas Inteligentes (LISI) Facultad de Ingeniería Universidad Nacional de La Pampa Calle 110 Esq. 9 (6360) General Pico La Pampa Rep. Argentina Te. / Fax: (02302) 422780/422372, Int. 6302 e-mail: {minettig, saltoc, alfonsoh@ing.unlpam. edu.ar}, fstnando@gmail.com
Parents' beliefs and children's code-switching

This paper reports a part of our current longitudinal study that started in 2009 when the researchers first investigated 1st grade students in an international elementary school in Japan about their nature of code-switching. The previous studies found that students code-switched to Japanese for psychological and interpersonal reasons, that is, for ease and comfort and to maintain good friendships. They also code-switched to English to observe the school ‘English only’ policy. This paper first briefly reviews the previous studies and then reports the results of the current study that examined how, if at all, their parents’ beliefs on language acquisition influenced the children’s use of code-switching. The result showed that the parents’ beliefs have impact on their children’s language learning experiences as well as their use of code-switching. Introduction The first study on the nature of children’s code-switching launched when the researchers wondered when children learned to use code-switching and why. Do they code-switch because of the lack of English proficiency? Or are there any other social or psychological reasons? What are the characteristics of children’s code-switching? Do they code-switch within clause boundaries (intra-sentential CS), or at clause boundaries (inter-sentential CS)? How do children learn to use
Imbalanced Learning: Foundations, Algorithms, and Applications

The first book of its kind to review the current status and future direction of the exciting new branch of machine learning/data mining called imbalanced learningImbalanced learning focuses on how an intelligent system can learn when it is provided with imbalanced data. Solving imbalanced learning problems is critical in numerous data-intensive networked systems, including surveillance, security, Internet, finance, biomedical, defense, and more. Due to the inherent complex characteristics of imbalanced data sets, learning from such data requires new understandings, principles, algorithms, and tools to transform vast amounts of raw data efficiently into information and knowledge representation. The first comprehensive look at this new branch of machine learning, this book offers a critical review of the problem of imbalanced learning, covering the state of the art in techniques, principles, and real-world applications. Featuring contributions from experts in both academia and industry, Imbalanced Learning: Foundations, Algorithms, and Applications provides chapter coverage on:Foundations of Imbalanced LearningImbalanced Datasets: From Sampling to ClassifiersEnsemble Methods for Class Imbalance LearningClass Imbalance Learning Methods for Support Vector MachinesClass Imbalance and Active LearningNonstationary Stream Data Learning with Imbalanced Class DistributionAssessment Metrics for Imbalanced LearningImbalanced Learning: Foundations, Algorithms, and Applications will help scientists and engineers learn how to tackle the problem of learning from imbalanced datasets, and gain insight into current developments in the field as well as future research directions.
Evaluation of Image Segmentation and Object Recognition Algorithms for Image Parsing

Abstract : The goal of this effort is to implement several algorithms for image segmentation and object recognition, unify the algorithms, and determine which approach works the best based on certain measures. Based on the number of segments produced by the segmentation implementations, there is over-segmentation or incorrect segmentation (according to a human s perception). The performance of the segmentation could have influenced the results of the object recognition. The results for precision, recall, and F-measure indicate that the best approach to use for image segmentation is Sobel edge detection and to use Canny or Sobel for object recognition. The process for this report would not work for a warfighter or analyst. It has poor performance. Additionally, its lack of variety among the algorithms reduces the chance of correctly labeling the objects in an image.
The Statue of Liberty

The Academic Content Collection includes three levels of expository readers designed to introduce academic language for independent, extensive reading. The readers are linked by level to Visions A, B, and C and are supported by workbooks and audio CDs for practice and reinforcement. The Teacher Guide provides extensive teacher support for classroom use, including graphic organizers, summaries, activities, and links to state standards.
Interactive Control of Dance Animation with Music for a Mobile AR Application

Interactive control is essential in mobile games, which is still a challenging issue in the field of dynamic animation generation on mobile devices. In this demo, we provide an Android Augmented Reality (AR) application on a smart phone, where user can interactively control the character’s motion in the dance animation through the touch screen.
PENINGKATAN PENDIDIKAN POLA PERILAKU HIDUP SEHAT PADA USIA REMAJA MELALUI PENERAPAN KOMUNIKASI LINGKUNGAN DAN KESEHATAN REPRODUKSI BERBASISKAN KEARIFAN LOKAL

Seiring dengan perkembangan teknologi komunikasi yang mempengaruhi perilaku hidup para remaja, khususnya siswa-siswi SMP/Sederajat dan SMU/SMU yang berada pada usia antara 13-18 tahun yang kenyataannya masih minim akan pengetahuan dan kesadaran tentang masalah pengelolaan kesehatan lingkungan dan kesehatan reproduksi. Kesehatan lingkungan merupakan suatu cara untuk menjaga alam sekitar agar selalu bermanfaat bagi kehidupan manusia itu sendiri agar tetap seimbang. Sedangkan kesehatan reproduksi merupakan upaya menjaga kesehatan mengenai alat reproduksi beserta perilaku seks yang terdapat pada seseorang. Tujuan dari kegiatan ini adalah untuk meningkatkan pengetahuan, kesadaran dan keterampilan para siswa dalam mengelola dan melestarikan kesehatan lingkungan, khususnya kesehatan reproduksi yang berbasiskan pada kearifan lokal. Upaya peningkatan pengetahuan, kesadaran dan keterampilan komunikasi dalam kesehatan lingkungan, khususnya kesehatan reproduksi berbasiskan kearifan lokal sebagai solusi alternatif perkembangan aspek kesehatan reproduksi secara medis yang tidak selalu bergantung pada zat-zat yang bersifat kimiawi. Pelaksanaan kegiatan dilakukan melalui pengidenti-fikasian masalah yang terdapat di mitra yang dilakukan pada bulan Oktober 2013. Selanjutnya dilakukan tahapan pelatihan dan diseminasi informasi mengenai kesehatan lingkungan, khususnya kesehatan reproduksi remaja, komunikasi kesehatan reproduksi dan penge-lolaan kesehatan lingkungan berbasiskan pada kearifan lokal. Kegiatan ini diikuti para siswa-siswi SMA Negeri I Katapang Kabupaten Bandung. Hasil kegiatan yang dilaksanakan di kampus SMA Negeri I Katapang Kabupaten Bandung dapat disimpulkan bahwa kegiatan pelatihan dan diseminasi informasi mengenai kesehatan lingkungang, khususnya kesehatan reperoduksi berbasiskan kearifan lokal mendapat respon yang baik dari para siswa serta sesuai dengan kebutuhan pihak sekolah dalam hal menangani perkembangan usia remaja dari sisi medis dan kajian ilmu komunikasi nya. Untuk menunjang kegiatan ini kami menyarankan agar para siswa-siswi dan pihak sekolah harus mampu menerapkan hasil pelatihan dan pengetahuan tersebut bisa ditiru oleh masyarakat pada umumnya. Kata Kunci: Peningkatan pendidikan, kesehatan lingkungan, kesehatan reproduksi, kearifan lokal
Paginación + discretización del fixed queries trie

La proxima generacion de administradores de bases de datos debera ser capaz de indexar datos multimedia y responder consultas de proximidad con tanta eficiencia como actualmente responden consultas de busqueda exacta. Estas nuevas bases de datos se pueden modelar como un espacio metrico, sobre los cuales ya se han disenando numerosas tecnicas de indexacion. El Fixed Queries Trie (FQTrie) es una de ellas y ha demostrado experimentalmente tener un buen desempeno. En investigaciones anteriores hemos realizado trabajos en torno a mejorar la eficiencia del FQTrie desde varios topicos diferentes: cantidad de evaluaciones de distancia,tiempo extra de CPU y tiempo de I/O. Con respecto a los dos primeros, hemos encontrado un metodo de discretizacion que logra mejorar la eficiencia del FQTrie. Con respecto al tiempo de I/O, hemos disenado una tecnica basada en el particionamiento del espacio que permite reducir el tiempo de I/O. En este trabajo combinamos ambas tecnicas a fin de lograr una implementacion completa del FQTrie que sea eficiente tanto en memoria principal como en memoria secundaria. XIII Congreso Argentino de Ciencias de la Computacion
Lexical cohesion and corpus linguistics

1. Introduction 2. Lexical cohesion and rhetorical structure (by Morley, John) 3. Lexical bundles and discourse signalling in academic lectures (by Nesi, Hilary) 4. Cohesive chains and speakers' choice of prominence (by Warren, Martin) 5. Describing the extended meanings of lexical cohesion in a corpus of SARS spoken discourse (by Cheng, Winnie) 6. Use of signalling nouns in a learner corpus (by Flowerdew, John) 7. Lexical cohesion: Corpus linguistic theory and its application English in language teaching (by Mahlberg, Michaela) 8. Index
Evaluating TMR Techniques in the Presence of Single Event Upsets

Field programmable gate arrays (FPGAs) are sensitive to radiation-induced single event upsets (SEUs) within the configuration memory. Triple modular redundancy (TMR) is a technique commonly used to mitigate against design failures caused by SEUs. This paper evaluates the effectiveness and cost of TMR on two different counter designs in the presence of SEUs. The evaluation measures the reliability, area cost, and speed of different TMR styles. The tests show that when feedback TMR is used with triplicated clocks, it is possible to to have a counter design which is insensitive to any single configuration upset.
Exploiting implicit parallelism in SPARC instruction execution

One way to increase the performance of a processing unit is to exploit implicit parallelism. Exploiting this parallelism requires a processor to dynamically select instructions in a serial instruction stream which can be executed in parallel. As operations are computed concurrently, an execution speedup will occur. This thesis studies how effectively implicit parallelism could be exploited in the Scalable Pro cessor Architecture (SPARC)[9], a reduced instruction set architecture developed by Sun Microsystems. First an analysis of SPARC instruction traces will determine the optimal speedup that would be realized by a processor with infinite resources. Next, an analytical model of a parallelizing processor will be developed and used to predict the effects of limited resources on optimal speedup. Lastly, a SPARC simulator will be employed to determine the actual speedup of resource limited configurations, and the results will be correlated with the analytical model.
Icon Types, Classical and Expressive Aesthetics, Pleasurable Interaction and Satisfaction with the Process of Semi-literate Users

The hedonic role of icons has been undermined in contemporary human computer interaction research, though users have specifically mentioned the importance of icons while performing aesthetic evaluation of user interfaces. Previous research has also neglected factors like aesthetics and pleasurable interaction while comparing efficiency of same interface elements. In this regard, current study investigates how different types of icons in mobile applications affect the aesthetics and pleasurable interactions of semi-literate users. This study also investigates the extent to which aesthetics and pleasurable interactions affect satisfaction with the process. The study addresses these issues from the theoretical perspectives of metaphor and aesthetics. Significant differences were observed for aesthetics and pleasurable interactions between two different types of icon sets, namely metaphoric and idiomatic. This study suggests that for higher evaluation of aesthetics and pleasurable interaction for semi-literate users, specific icon types are preferred.
Globalizing the Sculptural Landscapes of the Sarapis and Isis Cults in Hellenistic and Roman Greece

Globalizing the Sculptural Landscapes of the Sarapis and Isis Cults in Hellenistic and Roman Greece by Lindsey A. Mazurek Department of Art, Art History & Visual Studies Duke University Date:_______________________ Approved: ___________________________ Sheila Dillon, Supervisor ___________________________ Caroline Bruzelius ___________________________ Lidewijde de Jong ___________________________ Sara Galletti ___________________________ Jennifer Gates-Foster An abstract of a dissertation submitted in partial fulfillment of the requirements the requirements for the degree of Doctor of Philosophy in the Department of Art, Art History & Visual Studies in the Graduate School of Duke University 2016 Copyright by Lindsey A. Mazurek 2016
Supporting tele-health and AI-based clinical decision making with sensor data fusion and semantic interpretation: The USEFIL case study

We propose a three-layered architecture for clinical evidencebased Decision Support Systems. Our architecture allows for off-the-shelf low-cost sensors to be deployed in tele-health environments; counterbalancing low confidence in the sensor data by fusing data from multiple sensors. The relevant data fusion and interpretation layer also forms the interface between sensor data and explicit rules encoding medical knowledge. This achieves a complete separation of the non-medical and medical knowledge, an important step for system adoption.
Design and Application of Multi Concept Keyword Model based on Web-using Information

There are various studies to provide useful information for users on huge data of web-sites. Web usage mining among them is a method to extract meaningful patterns based on web users' log data. Most of existing patterns of web usage mining, however, had not considered users' diverse inclination but created general models. Web users' keywords can have various meaning upon their tendency and background knowledge. This study is for generating Multi Concept Keyword Model (MCK-Model) by analyzing web usage information on users' keywords of interest. MCK-Model can supply web page network for various inclination based on users' keywords of interest. Also, MCK-Model can be used to recommend the most proper web pages and it has been confirmed that the suggested method is useful enough.
Energy-Efficient Cluster Head Selection Method in Wireless Sensor Networks

Wireless sensor networks is composed of many similar sensor nodes with limited resources. They are randomly scattered over a specific area and self-organize the network. For guarantee of network life time, load balancing and scalability in sensor networks, sensor networks needs the clustering algorithm which distribute the networks to a local cluster. In existing clustering algorithms, the cluster head selection method has two problems. One is additional communication cost for finding location and energy of nodes. Another is unequal clustering. To solve them, this paper proposes a novel cluster head selection algorithm revised previous clustering algorithm, LEACH. The simulation results show that the energy compared with the previous clustering method is reduced.
TEXTOS MULTIMODAIS NA AULA DE LÍNGUA ESTRANGEIRA MULTIMODAL TEXTS IN THE FOREIGN LANGUAGE CLASSROOM

RESUMO: Este artigo objetiva analisar o video como um instrumento de motivacao na aula de lingua estrangeira, considerando a importância da motivacao na aprendizagem de linguas. A hipotese e de que o video intensifica a motivacao dos alunos. A pesquisa e de natureza qualitativa e a fundamentacao teorica esta baseada, principalmente, no modelo ARCS de John Keller, na Gramatica Visual de Kress e van Leeuwen e nas formas de multiletramentos do The New London Group. Para coletar os dados, a metodologia constou de dois momentos: no primeiro, os alunos assistiram a um video do YouTube; no segundo, produziram seu proprio video e postaram no YouTube. A analise dos dados revelou que o video intensifica a motivacao dos alunos na aprendizagem de linguas estrangeiras. PALAVRAS-CHAVE: video; motivacao; lingua estrangeira; multiletramento.
Probabilistic Modeling and Inference for Obfuscated Network Attack Sequences

A key element in defending computer networks is to recognize the types of cyber attacks based on the observed malicious activities. Obfuscation onto what could have been observed of an attack sequence may lead to mis-interpretation of its effect and intent, leading to ineffective defense or recovery deployments. This work develops probabilistic graphical models to generalize a few obfuscation techniques and to enable analyses of the Expected Classification Accuracy (ECA) as a result of these different obfuscation on various attack models. Determining the ECA is a NP-Hard problem due to the combinatorial number of possibilities. This paper presents several polynomial-time algorithms to find the theoretically bounded approximation of ECA under different attack obfuscation models. Comprehensive simulation shows the impact on ECA due to alteration, insertion and removal of attack action sequence, with increasing observation length, level of obfuscation and model complexity.
Learning to Provide Better Examples for Our Robots

Good coaches can put themselves in the shoes of their trainees, and provide them with useful examples. Simply watching a professional squash player during a game often does not provide mere beginners with enough information for them to improve their skills: their muscles are not as well formed and they are missing some of the elementary skills to build upon. When a squash expert is asked to coach a beginner, however, he will probably learn the beginner’s limitations over time, and end up providing different, more suitable examples than originally. We have reasons to expect that the same holds for robots: for example, humans are utter experts in manipulation tasks, while robots are novices with different kinematics and much less impressive basic capabilities for the teacher to build on. Therefore, when humans teach robots certain manipulation tasks, they might have to come up with a strategy for the robot to use that is different from the strategy they would apply themselves. For example, if the robot’s hands are shaped differently (e.g. HERB, at Intel Labs Pittsburgh, shown in Figure 1), then it will not necessarily be able to open a fridge door the same way a human does. When the human is asked to teach the robot, they will likely not be aware of this at first, but when observing how the robot fails, they will strive to come up with a new way to approach the problem that is easier for the robot. In our current work, we are exploring how humans adapt to the capabilities of the robot when teaching them such manipulation skills, and what interface is the most effective for this kind of adaptive teaching. We are looking at two types of interfaces: human tracking followed by mapping movement to the robot’s kinematics, and direct control (in which the human can directly move or teleoperate the robot). Our future goal is to create a framework for learning by demonstration in which the expert is not automatically regarded as ideal, but is allowed time to provide exemplars that are directly applicable to the robot.
Concepts and Terms

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Understanding ESL writers : a guide for teachers

How do non-ESL writing teachers handle the writing of their ESL students when there is a language barrier to hurdle? How do teacher trainees prepare for the growing numbers of ESL students in U.S. schools? "Understanding ESL Writers: A Guide for Teachers" provides the answers, responding to the overwhelming concern non-ESL faculty have expressed with the influx of ESL students into their classes. Ilona Leki has spent years training ESL teachers and teaching writing to both ESL and first language students in language institutes and at the university level. Here, she introduces writing teachers to some of the information ESL professionals have on ESL writing. Teacher trainees, as well, who are just beginning their work with ESL students will find a wealth of information orienting them to their new profession. Leki examines the ESL writer from every angle, discussing: the educational and linguistic contexts from which they emerge the forms ESL writing instruction has taken in the U.S. and abroad the principles of second language acquisition the writing behaviors of ESL students types of writing assignments which may put ESL students at a disadvantage errors typical of ESL learners ways teachers may most effectively respond to the writing of ESL students at both the syntactic and rhetorical levels, in writing or during conferences. Full of practical advice and applications, intended for both practicing teachers and teacher trainees, "Understanding ESL Writers" is a must-read for any educator seeking to establish a mutually communicative relationship with an ESL student.
Computers and Squeak as Environments for Learning

Introduction Computers, although promoted as an all-purpose educational panacea, certainly aren't. The machines do have potential to assist certain learners in specific ways. Computer scientists, software engineers, teachers, parents, and children are using Squeak to explore that potential. Some of Squeak’s features are designed (and are being designed) to help non-experts learn programming and to facilitate construction of environments and projects for learning about other subjects.
Human factors in information systems : an organizational perspective

The 21 chapters in this volume are presentations from the Second Symposium on Human Factors in Management Information Systems (MIS). The goal is to provide IS professionals and academics with a human factors orientation and practical guidelines relating to human factors issues. It is also intended as a textbook for graduate level students. The general introduction serves as a position treatise for the study of human factors in IS. The disciplines of computer science, information systems, human factors engineering, and human computer interaction are explored as contributing fields to human factors in IS.
The blueprint for business objects

1. The new business know-how 2. A curriculum model for object-oriented information systems development 3. A plan of action for learning 4. Profiles of the object training masters Appendix A. The essential object-oriented library for business and other learning resources Appendix B. A guide to usable interface design for object-oriented systems Appendix C. Classified bibliography.