Miracle-dz/UniFAR-FTUs huggingface dataset:
PENGARUH PEMBELAJARAN DENGAN PENDEKATAN ERGONOMI PARTISIPATORI (PEP) BERBASIS ASESMEN PORTOFOLIO TERHADAP KELELAHAN DAN HASIL BELAJAR IPA (BIOLOGI) SISWA KELAS X SMA TAHUN PELAJARAN 2011/2012

Â Â Â Â Â Â Â Â Â Penelitian ini bertujuan untuk mengetahui: (1) perbedaan tingkat kelelahan dan hasil belajar IPA siswa kelas X SMA antara kelompok siswa yang mengikuti pembelajaran PEP berbasis asesmen portofolio dengan siswa yang tidak mengikuti pembelajaran PEP berbasis asesmen portofolio;(2) perbedaan tingkat kelelahan siswa kelas X SMA antara kelompok siswa yang mengikuti pembelajaran PEP berbasis asesmen portofolio dengan siswa yang tidak mengikuti pembelajaran PEP berbasis asesmen portofolio;dan(3) perbedaan hasil belajar Kelas X SMA antara kelompok siswa yang mengikuti pembelajaran PEP berbasis asesmen portofolio dengan siswa yang tidak mengikuti pembelajaran PEP berbasis asesmen portofolio. Jenis penelitian ini adalah quasi experiment dengan rancangan the post-test only control group design . Populasi penelitian adalah siswa kelas X SMA di Kabupaten Bangli dan Kabupaten Klungkung, sedangkan sampelnya adalah siswa kelas X SMA. Data utama yang dikumpulkan adalah kelelahan dan hasil belajar siswa, sedangkandata penunjangnya adalah mikroklimak, sarana pembelajaran, dan antropometrik siswa. Data utama dianalisis dengan analisis deskriptif dan Manova, sedangkan data penunjang dianalisis dengan uji t-group . Uji komparasi rata-rata hasil penelitian diuji dengan LSD pada taraf signifikansi 5%. Hasil penelitian ini adalah mengetahui tingkat kelelahan dan hasil belajar siswa melalui serangkaian pembelajaran dengan Pendekatan Ergonomi Partisipatori. Â Kata Kunci: Pendekatan PEP, AsesmenPortofolio, Kelelahan, dan Hasil Belajar
Recoverability of Joint Distribution from Missing Data

A probabilistic query may not be estimable from observed data corrupted by missing values if the data are not missing at random (MAR). It is therefore of theoretical interest and practical importance to determine in principle whether a probabilistic query is estimable from missing data or not when the data are not MAR. We present an algorithm that systematically determines whether the joint probability is estimable from observed data with missing values, assuming that the data-generation model is represented as a Bayesian network containing unobserved latent variables that not only encodes the dependencies among the variables but also explicitly portrays the mechanisms responsible for the missingness process. The result significantly advances the existing work.
Approaches for Universal Static Binary Translation

Binary translation is the process of converting machine code created for one architecture to semantically equivalent machine code for another architecture. Static binary translation in particular is one of many ways to achieve Architecture-Independent Computing (AIC). AIC aims to provide the ability to execute code on any machine regardless of the original target. Unlike other solutions for AIC, such as portable virtual machines, emulators, or interpreters, static binary translation presents the possibility to create a framework that can translate code between any two machine code languages and provide results at near native speeds. In this thesis we present the Binary Translation System (BTS), a new static binary translator that can retarget machine code for arbitrary computing architectures. This thesis presents the extensible BTS framework that can be used to create translators for any common instruction set architecture. We also present our architecture-independent code representation and manipulations that we used to face some of the common problems with binary translation. Our prototype BTS implements a RISC-like, architecture-independent code representation, a PowerPC decoder, and a SPARC encoder to demonstrate the feasibility and problems of static binary translation. The PowerPC decoder in particular, exemplifies many decompilation problems that must be dealt with when converting machine code to an architecture-independent code representation. Our test results show that our prototype can achieve comparable performance and compatiblilty to other AIC solutions. Our methods and approaches presented in this thesis may be of interest to binary translation writers, reverse engineers, decompiler/compiler designers, and engineers wanting to do binary program manipulation or instrumentation.
Modelo DIL-D ©: diagnosticando las acciones de responsabilidad social corporativa centradas en la integración laboral de personas con discapacidad

El principal objetivo de la presente investigacion es analizar y diagnosticar el grado de implantacion y desarrollo de las acciones de responsabilidad social corporativa que facilitan la integracion laboral de personas con discapacidad (RSC-D). Para ello hemos desarrollado un modelo clasificatorio (Modelo DIL-D ©) y un instrumento diagnostico que dota de herramientas objetivas a los profesionales, en aras de fomentar la integracion laboral de personas con discapacidad. El instrumento desarrollado se ha administrado a responsables RSC y/o de RRHH de 42 empresas. Los resultados nos muestran la confiabilidad del instrumento, asi como el ajuste del Modelo. Dos tercios de las empresas obtienen niveles altos de desarrollo en todas las dimensiones, si bien un 34,5 % bajos. El modelo establece las pautas de intervencion que la empresa ordinaria debe seguir en aras de promover la integracion laboral, facilitando las herramientas de diagnostico que promueven la creacion de entornos integradores.
Has Revenue Management become Acceptable?

Demand-based pricing is underused in many service industries, because customers are believed to perceive such pricing as unfair. Fencing can be highly effective in improving the perceived fairness of demand-based pricing. In this study, five fences were explored in a restaurant context across three countries (Singapore, Sweden, and the United States). Demand-based pricing in the form of coupons (two for the price of one), time-of-day pricing, and lunch/dinner pricing were perceived as fair. Weekday/ weekend pricing was seen as neutral to slightly unfair. Table location pricing was seen as somewhat unfair with potential negative consumer reactions to this practice. Furthermore, framing demand-based pricing as discounts improved perceived fairness. The findings were largely consistent for the three countries. Specifically, framing demand-based pricing as discounts or gains showed no country-specific effect.
Ray: Simultaneous Assembly of Reads from a Mix of High-Throughput Sequencing Technologies

An accurate genome sequence of a desired species is now a pre-requisite for genome research. An important step in obtaining a high-quality genome sequence is to correctly assemble short reads into longer sequences accurately representing contiguous genomic regions. Current sequencing technologies continue to offer increases in throughput, and corresponding reductions in cost and time. Unfortunately, the benefit of obtaining a large number of reads is complicated by sequencing errors, with different biases being observed with each platform. Although software are available to assemble reads for each individual system, no procedure has been proposed for high-quality simultaneous assembly based on reads from a mix of different technologies. In this paper, we describe a parallel short-read assembler, called Ray, which has been developed to assemble reads obtained from a combination of sequencing platforms. We compared its performance to other assemblers on simulated and real datasets. We used a combination of Roche/454 and Illumina reads to assemble three different genomes. We showed that mixing sequencing technologies systematically reduces the number of contigs and the number of errors. Because of its open nature, this new tool will hopefully serve as a basis to develop an assembler that can be of universal utilization (availability: http://deNovoAssembler.sf.Net/). For online Supplementary Material , see www.liebertonline. com.
Comparison of B2C E-commerce Websites Trust Assessment Models

Trust is a very important factor in any social relationship. In the current trend when physical marketplace are also establishing themselves on Internet, where they go online and where commerce transaction takes place online, trust becomes one of the major critical issue for any customer. Similarly it also becomes important for the vendor to know how much customer rely on in them. Trust being the base of any relationship, needs to be analyzed properly. By analyzing trust, customer can make decision for commerce transactions, whereas vendor can get to know about the loopholes in their system. This paper provides the important factors comprising the major trust issues and with the help of those factors, three different models namely Text Analysis, MLPNN and ANFIS are compared. In addition to comparative analysis, their individual applications are also suggested. Keywords—Trust, E-commerce, Neural Network, ANFIS, Text Analysis.
Accuracy of the Timed Up and Go test for predicting sarcopenia in elderly hospitalized patients

OBJECTIVES: The ability of the Timed Up and Go test to predict sarcopenia has not been evaluated previously. The objective of this study was to evaluate the accuracy of the Timed Up and Go test for predicting sarcopenia in elderly hospitalized patients. METHODS: This cross-sectional study analyzed 68 elderly patients (≥60 years of age) in a private hospital in the city of Salvador-BA, Brazil, between the 1st and 5th day of hospitalization. The predictive variable was the Timed Up and Go test score, and the outcome of interest was the presence of sarcopenia (reduced muscle mass associated with a reduction in handgrip strength and/or weak physical performance in a 6-m gait-speed test). After the descriptive data analyses, the sensitivity, specificity and accuracy of a test using the predictive variable to predict the presence of sarcopenia were calculated. RESULTS: In total, 68 elderly individuals, with a mean age 70.4±7.7 years, were evaluated. The subjects had a Charlson Comorbidity Index score of 5.35±1.97. Most (64.7%) of the subjects had a clinical admission profile; the main reasons for hospitalization were cardiovascular disorders (22.1%), pneumonia (19.1%) and abdominal disorders (10.2%). The frequency of sarcopenia in the sample was 22.1%, and the mean length of time spent performing the Timed Up and Go test was 10.02±5.38 s. A time longer than or equal to a cutoff of 10.85 s on the Timed Up and Go test predicted sarcopenia with a sensitivity of 67% and a specificity of 88.7%. The accuracy of this cutoff for the Timed Up and Go test was good (0.80; IC=0.66-0.94; p=0.002). CONCLUSION: The Timed Up and Go test was shown to be a predictor of sarcopenia in elderly hospitalized patients.
Remittances or technological diffusion: Which is more important for the development of developing countries?

This paper examines the impact of technological diffusion and international migrants’ remittances on the economic development of developing countries. The hypothesis that skilled workers, living and working overseas, can effectively channel technological knowledge back to their home country, which in turn contributes to that country’s economic growth, is tested utilizing data on the stock of high skilled workers from 50 developing countries working in industrialized countries over the last two decades. Results obtained lend strong support to this hypothesis. In addition, the effect that remittances from workers in developed countries, which are used for investment purposes in developing countries, have on the rate of growth of developing economies is also investigated. Empirical evidence indicates that the remittance channel exerts a significant, positive impact on growth. More importantly, the contribution of such investment-oriented remittances to driving sustainable economic development appears to be relatively more significant than that of technological diffusion.
The Influence of Time Perception Difference on Intertemporal Choice

Intertemporal choice refers to decisions involving tradeoffs among costs and benefits occurring at different points in time. Despite a large number of studies have shown that impulsive behavior is closely related to subjective experience of time, but the relationship between impulsive behavior and perception of time is still controversial in intertemporal choices. From the perspective of personality differences, using a simple intertemporal choice task, this study investigated the differences in behavioral responses between two groups who had different tendencies of time perception(those who tended to overestimate time or underestimate time) in intertemporal choice to explore the role of time perception on intertemporal choice. In the present study, 32 participants who overestimated time(18 males and 14 females, average age = 20.36±1.25 years) and 32 participants who underestimate time(15 male and 17 females, average age = 20.64±1.98 years) were selected by using a time-production task from 120 volunteers recruited from some universities in China. They were asked to engage in a simple intertemporal choice task, in which, they were forced to make choices between two amounts of money attained in different delay time, and moreover, the difficulty of the intertemporal choice task was also manipulated through different amounts of money in options. The participants in the experiment were all right-hand, had normal or corrected-to-normal vision and had no neurological or psychological disorders. Each participant signed a consent form prior to the experiments and was paid after the experiment, according to their performance. The study was approved by the local academic committee.The results indicated that,(1) regardless difficulty of choice task, compared to the group who tended to underestimate time, the group who tended to overestimate time prefered to smaller-immediate rewards. (2) there is no significant difference in reaction time of intertemporal choice between the group who tended to overestimate time and the group who tended to underestimate time; and the reaction time of the group who tended to overestimate time was not affected by difficulty of choice task, while the reaction time of the group who tended to overestimate time in easy choice task was significantly longer than that in difficult task. In conclusion, the present study suggested that time perception plays an important role in intertemporal decision-making. Individuals who tend to overestimation of time may lead to overestimation of the cost of revenue, which would result in his/her impulsive choices in intertemporal choices
Sensor Assisted Wireless Communications ( Invited Paper )

The nature of human mobility demands that mobile devices become agile to diverse operating environments. Coping with such diversity requires the device to assess its environment, and trigger appropriate responses to each of them. While existing communication subsystems rely on in-band wireless signals for context-assessment and response, we explore a lateral approach of using out-of-band sensor information. We propose a relatively novel framework that synthesizes in-band and out-of-band information, facilitating more informed communication decisions. We believe that further research in this direction could enable a new kind of device agility, deficient in today’s communication systems. Since such a framework is located at the boundaries of mobile sensing and wireless communications, we call it sensor assisted wireless communications.
An adaptive algorithm selection framework

Irregular and dynamic memory reference patterns can cause performance variations for low level algorithms in general and for parallel algorithms in particular. We present an adaptive algorithm selection framework which can collect and interpret the inputs of a particular instance of a parallel algorithm and select the best performing one from an existing library. We present the dynamic selection of parallel reduction algorithms. First we introduce a set of high-level parameters that can characterize different parallel reduction algorithms. Then we describe an offline, systematic process to generate predictive models, which can be used for run-time algorithm selection. Our experiments show that our framework: (a) selects the most appropriate algorithms in 85% of the cases studied, (b) overall delivers 98% of the optimal performance, (c) adaptively selects the best algorithms for dynamic phases of a running program (resulting in performance improvements otherwise not possible), and (d) adapts to the underlying machine architecture (tested on IBM Regatta and HP V-Class systems).
SVD truncation schemes for fixed-size kernel models

In this paper, two schemes for reducing the effective number of parameters are presented. To do this, different versions of Fixed-Size Kernel models based on Fixed-Size Least Squares Support Vector Machines (FS-LSSVM) are employed. The schemes include Fixed-Size Ordinary Least Squares (FS-OLS) and Fixed-Size Ridge Regression (FS-RR) with their respective truncations through Singular Value Decomposition (SVD). When these schemes are applied to the Silverbox and Wiener-Hammerstein data sets in system identification, it was found that a great deal of the complexity of the model could be reduced in a trade-off with the generalization performance.
Diversity in the germline antibody repertoire. Molecular evolution of the T15 VN gene family

The T15 heavy chain variable region (VH) gene family in BALB/c mice includes four elements each greater than 88% homologous with the other. One of these elements, V1, encodes virtually all of the VH regions in BALB/c antiphosphorylcholine antibodies, while another element, V3, is a pseudogene and cannot be transcribed or translated. We have examined the structural features of this VH gene family in other mouse strains and, in particular, have cloned and sequenced the alleles of these gene segments present in B10.P mice. Each of the four B10.P sequences can be matched with its allelic counterpart in BALB/c mice. This represents the first successful analysis of allelism in antibody variable region gene segments. The V1B10.P allele, like its BALB/c counterpart, encodes most of the known phosphorylcholine binding heavy chains from C37BL/6 mice. Similarly, the V3B10.P gene segment is a pseudogene like V3BALB, although only two of four abnormalities present in the BALB/c allele are also present in the B10.P allele. Careful analysis of the specific substitutions observed in the T15 VH gene family suggests that environmental selection for functional combining regions contributes significantly to the pattern of variation in the germline antibody repertoire. In addition, evidence is presented supporting frequent gene conversion events in the divergence of antibody genes.
Incoherence matters: Life-stories after fundamental regime-change

Life-stories are usually seen as showing considerable coherence even where they include turning points. More recent work has in contrast noted that “living” or “small narratives” do not follow this rule but contrastingly enable the pondering of unresolved life-events helping to develop understanding. This potential is particularly valuable in contexts of fundamental regime-change where changes of the value-system, such as after transition from state socialism to democracy, pose considerable challenges to narrative coherence. The article suggests reconsidering the question of coherence in life-stories and draws on two examples of individuals who experienced life in East Germany and German unification to argue that struggles for coherence in the life-story can be indicative of the lack of wider shared frameworks for the understandings of national events and historical problems.
Taxation, Match Quality and Social Welfare

A large public finance literature argues that taxable income elasticities are a sufficient statistic for the social welfare consequences of taxation. We develop calibrations that show such deadweight loss calculations are overestimates proportional to the quantitative significance of heterogeneity in amenities across job matches. In particular, the endogenous supply of amenities can substantially exacerbate this overestimation in both static and dynamic environments. Given the possibility of gradual migration of workers into more amenity-focused job matches in response to tax increases, welfare calculations based on long-run taxable income elasticities can be more misleading than those based on short-run elasticities.
Multimodal Discourse: In Search of Units

Human communication is inherently multimodal. In this study we focus on three channels of spoken discourse: the verbal component, prosody, and gesticulation. We address the question of units that can be identified within these components and in spoken multimodal discourse as a whole. The basic unit of the verbal channel is the clause, reporting an event or a state. A set of prosodic criteria help to define elementary discourse units, that is prosodic units serving as quanta of discourse production. The gestural channel consists of individual gestures, each defined by a set of features. Elementary discourse units are strongly coordinated with both clauses and gestures and can thus be considered basic units of multimodal discourse. Larger units can also be identified, such as prosodic sentences and series of gestures that again demonstrate coordination. By identifying units of natural discourse, coordinated across various channels, we make a step towards multimodal linguistics.
On the Performance of Lossless Wavelet Compression Scheme on Digital Medical Images in JPEG, PNG, BMP and TIFF Formats

The major challenges facing digital radiological systems notably: teleradiology and picture archiving and communication systems (PACS) are not unconnected to: limited storage space and bandwidth requirements for storage, transmission, retrieval and archiving of digital medical images. Lossless compression techniques have been adopted by the medical community to help solve these problems as it does not degrades the quality of the medical image which is crucial for diagnosis while reducing the size (often in ratio 2:1) of the original image. However, little attention has been paid to knowing the performance of a choice compression scheme on the medical image format type for efficient handling in the digital radiology system. Hence, this work presents an evaluation of the performance of a lossless wavelet compression scheme on samples of computed tomography (CT) images of the brain in JPEG, PNG, BMP and TIFF formats.
On the Evolution of X-Ray Clusters at High Redshift

We report on the first results from a redshift survey of a flux-limited sample of X-ray clusters selected serendipitously from the ROSAT PSPC data archive. We spectroscopically confirm 15 clusters in the range 0.3 < z < 0.7, to a flux limit of ≃3.9 × 10-14 ergs s-1 cm-2, over a survey area of 17.2 deg2. The surface density of clusters in our survey is 2.0+ 0.4−0.3 deg-2, in good agreement with the number density of cluster candidates detected using algorithms designed to search for very extended sources. The number of clusters detected between 0.3 < z < 0.7 is consistent with a prediction based on a simple extrapolation of the local X-ray cluster luminosity function, which indicates that over this redshift range no significant evolution in the cluster population has taken place. These results are in conflict with recent claims that the number density of X-ray clusters found in deep ROSAT PSPC pointings evolves rapidly beyond z = 0.3.