Miracle-dz/UniFAR-FTUs huggingface dataset:
Los Sistemas de Apoyo entre Iguales (SAI) para el fomento de la convivencia en positivo, la mejora del clima de aula y la prevención de situaciones de bullying: La experiencia de Brasil y de España

espanolSe analiza la influencia de los Sistemas de Apoyo entre Iguales (SAI) en la mejora de la convivencia y el maltrato entre iguales. Se comparan dos muestras diferentes de alumnado, una con presencia de estructuras de apoyo entre iguales, los Equipos de Ayuda (Aviles, 2012), y otra sin ella tanto en escuelas secundarias de Espana como en Brasil. La prevalencia del bullying se obtiene tras la aplicacion del Insebull (Aviles y Elices, 2007). Ademas se miden las conexiones y desconexiones morales de los sujetos ante dos casos de bullying, uno con victima pasiva y otro con victima provocativa. Se encuentran mejoras significativas en las escuelas que poseen esas estructuras respecto a la mejora del clima de convivencia y la concienciacion de los sujetos implicados en las situaciones de bullying. Igualmente es significativamente mejor el grado de comunicacion de las victimas del acoso. Tambien ocurren menos desconexiones morales en los sujetos que tienen esas estructuras de apoyo entre iguales en sus escuelas tanto frente a las victimas pasivas como provocativas. Por ello, se hace necesario implementar y generalizar estas estructuras en el marco de los Proyectos Antibullying (Aviles, 2015) de los centros escolares. EnglishThe influence of the Peer Support in the improvement of school climate and bullying is analyzed here. Two different student samples are compared, one with the presence of peer support structures, the Help Teams (Aviles, 2012), and another without it. Both in secondary schools in Spain and in Brazil. The prevalence of bullying is obtained after the application of Insebull (Aviles & Elices, 2007). In addition, the moral connections and disconnections of the students are measured against two cases of bullying, one with a passive victim and another with a provocative victim. Significant improvement is found in the schools that have these structures in comparison with the improvement of the school climate and the awareness of the students involved in situations of bullying. The degree of communication of the students bullied is also significantly better. There are also fewer moral disconnections in students who have such peer support structures in their schools, when it comes to both passive and provocative victims. Therefore, it is necessary to implement and generalize these structures within the context of Antibullying Policies (Aviles, 2015) of schools.
PR ] 4 S ep 2 00 1 Vertex Identifiability in Large Random Hypergraphs

The theme of this paper is the derivation of analytic formulae for the size of combinatorial structures in the limit as the number of vertices tends to infinity. Such formulae are obtained via fluid limits of pure jump type Markov processes, when the Laplace transforms of their Lévy kernels converge. Furthermore we describe the remaining stochasticity when parameters take critical values. Our method is quite general, but is applied here to vertex identifiability in random hypergraphs. A vertex v is identifiable in n steps if there is a hyperedge containing v all of whose other vertices are identifiable in fewer steps. We say that a hyperedge is solvable if every one of its vertices is identifiable. Our analytic formulae describe the asymptotics of the number of identifiable vertices and the number of solvable hyperedges for a Poisson(β) random hypergraph Λ on a set V of N vertices, in the limit as N → ∞. Here β is a formal power series with non-negative coefficients β0, β1, . , and (Λ(A))A⊆V are independent Poisson random variables such that Λ(A), the number of hyperedges on A, has mean Nβj/ (N j ) whenever |A| = j.
Game-powered machine learning

Searching for relevant content in a massive amount of multimedia information is facilitated by accurately annotating each image, video, or song with a large number of relevant semantic keywords, or tags. We introduce game-powered machine learning, an integrated approach to annotating multimedia content that combines the effectiveness of human computation, through online games, with the scalability of machine learning. We investigate this framework for labeling music. First, a socially-oriented music annotation game called Herd It collects reliable music annotations based on the “wisdom of the crowds. ” Second, these annotated examples are used to train a supervised machine learning system. Third, the machine learning system actively directs the annotation games to collect new data that will most benefit future model iterations. Once trained, the system can automatically annotate a corpus of music much larger than what could be labeled using human computation alone. Automatically annotated songs can be retrieved based on their semantic relevance to text-based queries (e.g., “funky jazz with saxophone,” “spooky electronica,” etc.). Based on the results presented in this paper, we find that actively coupling annotation games with machine learning provides a reliable and scalable approach to making searchable massive amounts of multimedia data.
Mobile In-Situ Pick-by-Vision: Order Picking Support using a Projector Helmet

Order picking is one of the most complex and error-prone tasks that can be found in the industry. To support the workers, many order picking instruction systems have been proposed. A large number of systems focus on equipping the user with head-mounted displays or equipping the environment with projectors to support the workers. However combining the user-worn design dimension with in-situ projection has not been investigated in the area of order picking yet. With this paper, we aim to close this gap by introducing HelmetPickAR: a body-worn helmet using in-situ projection for supporting order picking. Through a user study with 16 participants we compare HelmetPickAR against a state-of-the-art Pick-by-Paper approach. The results reveal that HelmetPickAR leads to significantly less cognitive effort for the worker during order picking tasks. While no difference was found in errors and picking time, the placing time increases.
Karakteristik Organoleptik Filet Ikan Patin (Pangasionodon Hypophthalmus) dari Tiga Lokasi Budidaya di Kabupaten Bogor

Hasil olahan ikan Patin ( Pangasionodon hypophthalmus ) pada umumnya dipasarkan dalam bentuk fillet, baik beku maupun berbalut tepung roti. Kualitas organoleptik fillet patin ini sangat dipengaruhi oleh berbagai faktor, diantaranya kualitas lingkungan perairan tempat budidaya ikan tersebut, baik fisika maupun kimia. Penelitian ini bertujuan untuk mengidentifikasi karakteristik organoleptik filet ikan patin secara sensori, yang diperoleh dari tiga lokasi budidaya dengan kualitas air yang berbeda di Kabupaten Bogor. Penelitian berlangsung mulai bulan Maret sampai dengan Juni 2013 bertempat di Desa Bantar Kemang, Desa Ciseeng, serta kolam praktek Pasir Jaya Jurusan Penyuluhan Perikanan. Parameter yang diamati terhadap fillet patin meliputi aroma, rasa, penampakan, serta tekstur. Adapun untuk parameter kualtas air terdiri dari suhu, pH, kecerahan, oksigen terlarut, nitrit, amoniak, serta amonium. Hasil penelitian menunjukkan bahwa nilai karakteristik organoleptik illet ikan patin untuk atribut aroma dan rasa dipengaruhi oleh kualitas air.
High‐order boundary conditions for linearized shallow water equations with stratification, dispersion and advection

The two‐dimensional linearized shallow water equations are considered in unbounded domains with density stratification. Wave dispersion and advection effects are also taken into account. The infinite domain is truncated via a rectangular artificial boundary ℬ︁, and a high‐order open boundary condition (OBC) is imposed on ℬ︁. Then the problem is solved numerically in the finite domain bounded by ℬ︁. A recently developed boundary scheme is employed, which is based on a reformulation of the sequence of OBCs originally proposed by Higdon. The OBCs can easily be used up to any desired order. They are incorporated here in a finite difference scheme. Numerical examples are used to demonstrate the performance and advantages of the computational method, with an emphasis is on the effect of stratification. Published in 2004 by John Wiley & Sons, Ltd.
Voting “Against Islamization”? How Anti-Islamic Right-Wing, Populist Political Campaign Ads Influence Explicit and Implicit Attitudes Toward Muslims as Well as Voting Preferences

We explore the effects of anti-Islamic right-wing, populist political campaign ads on voting intention for a right-wing populist party using a quota-based online experiment (N = 174). Additionally, we investigate implicit attitudes (i.e., automatic affective associations) and explicit attitudes (i.e., overtly expressed evaluations) toward Muslims as underlying mechanisms of these effects. We find that exposure to the political campaign ads prompts explicit hostile attitudes toward Muslims mediated by implicit attitudes. Explicit attitudes in turn shape voting intention. Moreover, implicit attitudes toward Muslims predict voting preference beyond the influence of explicit attitudes. Thus, resentments toward Muslims may foster voters’ support for anti-Islamic right-wing populist parties even “under the radar” of conscious awareness. In sum, this study demonstrates for the first time the entire process of right-wing, populist political campaign ads’ effects on voting preferences via implicit and explicit attitudes toward Muslims.
Shared Write Buffer to Support Speculative Execution

With the trend of growing number of integrated processing cores on Chip Multiprocessors (CMPs), researchers are working hard to increase the available parallelism of software programs so as to efficiently harness the growing computing power. One noticeable direction among these efforts is Speculative Multi-threading (SpMT), a.k. a Thread Level Speculation (TLS), which aims to extract Thread Level Parallelism (TLP) by split a sequential execution thread into several finer ones and execute them on parallel. A SpMT thread is in speculative status before it "knows" all its input data are correct. A speculative thread needs to write to the L1 cache, but its output might be discarded if the speculation eventually fails. However, another speculative thread may have already read in such speculative output. Some mechanism is in need to support speculative read and write. And because the SpMT threads are extracted from a single thread, they usually share lots of data, thus there might be intense data coherence among the L1 caches. It would be very complicated to support data coherence and speculation together. Therefore we propose a Shared Write Buffer among the SpMT cores. With SWB, we could confine the speculative read and write in the SWB, thus the speculation will not interference with coherence, and the L1 cache design could be drastically simplified. Experiments show that the SWB can capture a big portion of inter-core data sharing, reduce cache coherence, and drastically improve data access performance.
A hybrid memory organization to enhance task migration and dynamic task allocation in NoC-based MPSoCs

Regarding MPSoCs, dynamic task allocation and task migration are still open research areas and, for both of them, there is no clear memory organization winner. While bus-connected systems commonly use a shared memory paradigm, NoC-based ones easily allow the exploration of distributed memory alternatives. This paper proposes a hybrid memory organization for NoC-based systems as the way to minimize the energy spent during the code transfer when task migration or dynamic task allocation needs to be performed. In our hybrid approach, the code can be transferred from the node where the task was originally running or from a memory positioned at the center of the system. The choice between the two options is done at runtime in a very intuitive way, based on the distance between the nodes involved on the transfer. Results are very encouraging and indicate that the proposed hybrid organization reduces the code transfer energy by 24% and 10% on average, as compared to global- and distributed-only memory organizations, respectively.
Police Suicide: Epidemic in Blue By John M. Violanti. Springfield, III: Charles C. Thomas. 1996. 120 pp. US$33.95 (hb), £24.95 (pb)

The last chapter on cost-effective cane is probably the one psychiatrists will want to show to health service managers, com missioners and policy-makers. It points out that the trend of shifting patients to general medical providers may reduce costs, but it usually deteriorates outcome and, as a consequence, does little to improve the value of care. If your manager is too busy to read chapter 9, I suggest you photocopy page 147. This simply states that achieving quality improvement raises the cost of mental health care but is cost-effective. This is a well-written book. I recom mend it to anyone who has an interest in the care and treatment of depressive disorders. The breadth of the discussion also means that it will appeal to health economists, mental health professionals and those who undertake research on depressive disorders.
Automatically building database from biological ontology

Ontologies give a standard presentation of specic domain knowledge in order to establish either a Knowledge Base (in the case of a moderate amount of data) or an Ontology Based Data Base (in the case of a huge amount of data). The aim of this paper is to present a new methodology to build data base automatically from a biomedical ontology.
Asymptotic Estimates and Qualitative Properties of an Elliptic Problem in Dimension Two

Abstract In this paper we study a semilinear elliptic problem on a bounded domain in ℝ2 with large exponent in the nonlinear term. We consider positive solutions obtained by minimizing suitable functionals. We prove some asymptotic estimates which enable us to associate a “limit problem” to the initial one. Using these estimates we prove some qualitative properties of the solutions, namely characterization of the level sets and nondegeneracy.
An Analysis of Acculturative Stress, Sociocultural Adaptation, and Satisfaction Among International Students

xii CHAPTER I: INTRODUCTION 1 Statement of the Problem 3 Purpose of the Study 5 Research Questions and Hypotheses 6 Significance of the Study 9 Limitations 10 Definition of Terms 11 Assumptions 13 Organization of the Dissertation 14 CHAPTER II: REVIEW OF THE LITERATURE 15 International Students in the United States 15 Impact of 9/11 and U.S. Visa Policy Changes on International Students. 21 Factors Influencing International Students’ Decisions to Pursue Higher Education in the United States 22 Push Factors 23 Pull Factors 23 Upon Degree Completion 24 Meaning of Acculturation 25 Group Level Acculturation 27 Individual Level Acculturation 27
Adaptive Non-Interventional Heuristics for Covariation Detection in Causal Induction: Model Comparison and Rational Analysis

In this article, 41 models of covariation detection from 2 × 2 contingency tables were evaluated against past data in the literature and against data from new experiments. A new model was also included based on a limiting case of the normative phi-coefficient under an extreme rarity assumption, which has been shown to be an important factor in covariation detection (McKenzie & Mikkelsen, 2007) and data selection (Hattori, 2002; Oaksford & Chater, 1994, 2003). The results were supportive of the new model. To investigate its explanatory adequacy, a rational analysis using two computer simulations was conducted. These simulations revealed the environmental conditions and the memory restrictions under which the new model best approximates the normative model of covariation detection in these tasks. They thus demonstrated the adaptive rationality of the new model.
Method for controlling abnormal Internet traffic according to user's behaviour

This paper relates to a method and apparatus for controlling traffic according to user, and more particularly, to a method and apparatus for controlling traffic according to user that detects traffic abnormalities according to an Internet user's online behavior and controls the traffic of users whose behaviors are at variance with regular Internet user behavior patterns through the use of priority control.
Flood Pattern Detection Using Sliding Window Technique

Patterns could be discovered from historical data and can be used to recommend decisions suitable for a typical situation in the past. In this study, the sliding window technique was used to discover flood patterns that relate hydrological data consisting of river water levels and rainfall measurements. Unique flood occurrence patterns were obtained at each location. Based on the discovered flood occurrence patterns, mathematical flood prediction models were formulated by employing the regression technique. Experimental results showed that the mathematical flood prediction models were able to produce good prediction on the flood occurrences. Results from this study proved that sliding window technique was able to detect patterns from temporal data. It is also considered a sound approach to adopt in predicting the flood occurrence patterns as it requires no prior knowledge as compared to other approaches when dealing with temporal data.
X – Band Fractal Microstrip Antenna for Wireless Application

Wideband application put a new demand on antennas pertaining to size, gain, efficiency, bandwidth and more. This paper presents the design and analysis of fractal antenna which uses the self similarity property of fractal geometry. This unique property is exploited to develop antenna elements that are wideband and compact possessing highly desirable properties. The presented antenna is circle inscribed octagon shaped. Simulation results show that the antenna can be used in X band frequency range exhibiting wideband properties. Radiation pattern and gain characteristics are also analysed.
Depressão e ansiedade no ensino superior: estudo comparativo entre estudantes universitários

A pouca literatura existente sobre a prevalencia de quadros depressivos e ansiososna populacao estudantil aponta para uma incidencia elevada de niveis clinicos desintomatologia associada a estas perturbacoes. No entanto, existe pouca informacaoepidemiologica que nos permita ter uma visao exata da saude mental dos estudantesuniversitarios, tanto em Portugal como em paises estrangeiros. Este ponto cego dificultaqualquer accao de prevencao ou intervencao eficaz, impossibilita a descoberta de qualquercontinuidade entre Ensino Secundario, Ensino Superior e entrada no mercado de trabalho,e aumenta o risco de futuros profissionais desenvolverem quadros clinicos mais severosdevido a falta de qualquer intervencao previa num periodo critico da sua vida. Isto afigura-se como um risco nao so para o proprio, como tambem para terceiros, especialmente parafuturos profissionais medicos. O objectivo deste estudo sera realizar uma analisetransversal do corpo estudantil da Universidade do Porto, de forma a obter dadosepidemiologicos fiaveis sobre quadros clinicos de depressao e ansiedade na actualidadenos diversos cursos universitarios e anos de inscricao.
Lecture 8: Universal Algebra

In today’s lecture, we will look more closely into Universal Algebra and the properties of invariants (Inv) and polymorphisms (Pol). We shall also look at a few key theorems that will help prove dichotomy in the following lectures. A universal algebra is an algebraic system consists of a structure A = (A, Γ) where A is the domain set (finite) and Γ is a set of relations on A with finite arity (Γ can be infinite). Let F be a set of functions. To better understand the relation between Pol and Inv, we need the concept of Galoiscorrespondence between sets F and Γ.
An improved MOBIL descriptor for markerless augmented reality

In this paper, we present an improved version of MOBIL descriptor [1] (Improved MOments based BInary differences for Local description), which introduces two main contributions. The first one is the use of geometric information for the binary test instead of the classical intensity binary test, to get more precision in the description step. The second one is to attribute two bits for each test, to increase the distinctiveness level. This approach offers high distinctiveness against affine transformations and appearance changes. The experimental evaluation shows that MOBIL achieves a quite good performance in term of low computation complexity and high recognition rate compared to state-of-the-art real-time local descriptors.
NZTM: nonblocking zero-indirection transactional memory

This paper introduces NZTM, a nonblocking, zero-indirection, object-based, hybrid transactional memory system. NZTM comprises a nonblocking software transactional memory (STM) system that can exploit best-effort hardware transactional memory (HTM) if available to improve performance. Most previous nonblocking software transactional memory implementations pay a significant performance cost in the common case, as compared to simpler, blocking ones. However, blocking is problematic in some cases and unacceptable in others. NZTM is nonblocking, but shares the advantages of recent blocking STM proposals in the common case: it stores object data "in place", avoiding the costly levels of indirection of previous nonblocking STMs, and improves cache performance by collocating object metadata with the data it controls. We also explain how our nonblocking NZSTM algorithm can be substantially simplified using very simple hardware transactions, and evaluate its performance on Sun's forthcoming Rock processor. Our results show that nonblocking support introduces little overhead when compared with blocking STMs, and that NZTM is competitive with LogTM-SE, an unbounded HTM.
Let the Game Do the Talking: The Influence of Explicitness and Game Behavior on Comprehension in an Educational Computer Game

An endogenous educational game is a game where the educational content is integrated in the game play mechanics themselves. These games rely on a constructivist approach to learning, where the learner constructs knowledge through concrete experiences. Endogenous educational games which are specifically developed for educational purposes mostly make this purpose explicit: they make it clear in advance what is about to be learned. This research tried to find out how such an explicit purpose influences the game behavior and comprehension by developing two versions of an endogenous educational game about over fishing, one with and one without an explicit purpose. It showed that children who played the explicit version got more shallow knowledge and showed more active game behavior. The players who showed more explorative game behavior acquired more deep knowledge about the game.
Synthesis of Cloud Applications using Logic Programming: BAM!

Cloud applications are web-based distributed systems deployed over a fluctuating set of computing nodes and services. The design of cloud applications is particularly challenging because few assumptions can be made about the connectivity of nodes, the availability of services, as well as how the computing fabric will evolve in the long term. In this paper we show that logic programming combined with novel abstractions can be used to specify and synthesize cloud applications. Our tool-suite, called BAM, allows cloud applications to be specified independently from implementation technologies. The declarative nature of logic programming is essential to produce this decoupling. Code synthesis integrates state-of-the-art web technologies with well-known algorithms from logic programming to produce realistic and complete implementations from BAM specifications. First experiments show that mixing declarative logic programming with novel communication abstractions yields a powerful framework for architecting nextgeneration distributed systems.