Miracle-dz/UniFAR-FTUs huggingface dataset:
Oportunidades para Pesquisa e Publicação em Contabilidade: Um Estudo Preliminar sobre as Revistas Acadêmicas de Língua Inglesa do Portal de Periódicos da CAPES

RESUMO: Este estudo de caráter exploratório tem como objetivo conhecer algumas das características das revistas de contabilidade publicadas em língua Inglesa que estão disponibilizadas no Portal de Periódicos da CAPES. Todas as revistas acadêmicas que continham em seu título as palavras accounting, auditing, accountanbility e cost foram selecionadas. Buscou-se identificar alguns traços desses periódicos através da análise de conteúdo do corpo editorial, do guia dos autores e do enfoque do periódico. As classificações foram realizadas de acordo com os seguintes critérios: país de origem, distribuidor eletrônico, enfoque, periodicidade, blind review, indexação ao Institute for Scientific Information (ISI), indexação ao Scopus e grau de impacto de acordo com o Journal of Citation Report (JCR). A principal contribuição dessa pesquisa foi identificar e segmentar as revistas acadêmicas de contabilidade em língua Inglesa do Portal da CAPES. Neste sentido, este estudo visa contribuir para o desenvolvimento da pesquisa contábil efetuada no Brasil despertando o interesse do pesquisador para a internacionalização de suas pesquisas.
A collaborative filtering recommendation based on users' interest and correlation of items

Collaborative filtering (CF) is one of the most commonly used recommendation technologies in the recommender systems of e-commerce. However, due to the sparsity of users' rating data and the single ratings similarity, traditional CF algorithms show certain shortcomings. Aiming at these problems, a CF recommendation algorithm based on users' interests and the correlation of items is proposed. By using the algorithm, the similarity of users is measured according to users' interests based on the categorical attributes of items, while that of items is computed by introducing the association rules of data mining. The results of the tests on Movielens dataset manifest that the modified algorithm presents higher recommendation accuracy than the traditional CF algorithms.
Clinical features of patellar tendinopathy and their implications for rehabilitation

This study investigated the clinical features of patellar tendinopathy (PT), with focus on individuals with unilateral and bilateral PT. A cross‐sectional study design was employed to compare individuals with unilateral (n = 14) or bilateral (n = 13) PT and those without PT (control, n = 31). Features assessed included thigh strength (normalized peak knee extensor torque) and flexibility (sit‐and‐reach and active knee extension), calf endurance (heel‐rise test), ankle flexibility (dorsiflexion), alignment measures (arch height and leg length difference), and functional measures (hop for distance and 6 m hop test). Groups were matched for age and height; however, unilateral and bilateral PT had greater mass with a higher body mass index (BMI) than control. Also, bilateral PT performed more sport hours per week than both unilateral PT and control. Unilateral PT had less thigh strength than control and bilateral PT, whereas bilateral PT had more thigh flexibility than control and unilateral PT. Both unilateral and bilateral PT had altered alignment measures compared to control. Features that predicted symptoms in PT were lower thigh flexibility and strength, whereas those that predicted function were higher thigh strength and lower ankle flexibility. These findings indicate that unilateral and bilateral PT represent distinct entities, and that thigh strength appears particularly important in PT as it predicted both symptoms and function in PT. © 2007 Orthopaedic Research Society. Published by Wiley Periodicals, Inc. J Orthop Res 25:1164–1175, 2007
‘You’ve been in the house too long, she said, and I naturally fled’: An analysis of habitus among Danish e-sport players

Patterns in electronic sport (e-sport) have changed with increasing seriousness and professionalization in competitive activities, patterned behaviours, social structures and institutionalized settings. The aim of this study is to explore some Danish e-sport players’ habitus of e-sport with a special focus on the significant amount of training taking place at home and individual identities displayed through e-sport. The basis for the study is 14 interviews, where seven players were interviewed twice, an in-depth interview at a competition event and a family interview in the players’ home. The players have very similar embodied dispositions, traditions, beliefs, morals, values and ways of practising e-sport. The motivation for playing e-sport is not an internalization of a family norm, but happens in a social group context with friends. However, the findings also reveal that e-sport is perceived as a low status activity in a certain boy-culture, and e-sport has a special structured context and hierarchical relations with no unifying clubhouse or coaches involved, with most training and creation of social life taking place on-line from home, which also affects the intimate sociability of the home.
The first complete mitochondrial genome of Pygopodidae (Aprasia parapulchella Kluge)

Abstract. The Pygopodidae comprise an enigmatic group of legless lizards endemic to the Australo-Papuan region. Here we present the first complete mitochondrial genome for a member of this family, Aprasia parapulchella, from Australia. The mitochondrial genome of A. parapulchella is 16 528 base pairs long and contains 13 protein-coding genes, 22 tRNA genes, two rRNA genes and the control region, conforming to the typical vertebrate gene order. The overall mitochondrial nucleotide composition is 31.7% A, 24.5% T, 30.5% C and 13.2% G. This corresponds to a total A+T content of 56.3%, which is similar to that of other squamate lizard genomes.
Electrophysiological correlates and consequence of selective auditory attention

The sensory and perceptual mechanisms of the human brain can be reconfigured so as to optimize the processing of a selected type or class of information (i.e. frequency, location, etc.). A foundational goal of cognitive neuroscience is to pursue an understanding of the neural processes that underlie this reconfiguration. Auditory selective attention has been the topic of considerable investigation, principally by the use of event-related potential (ERP) techniques to record certain electrophysiological correlates of attentional selection. The large majority of this work has focused on a single paradigm, known as the sustained-attention paradigm, in which listeners continuously focus their attention at a particular location or on a particular frequency of sound. Only a very few previous studies have investigated the more realistic situation in which listeners continuously reorient their attention on a moment-by-moment basis. This thesis reports the systematic investigation of transient auditory attention. The ERP technique was used to address questions regarding the neural correlates and functional anatomy of auditory selective attention in a variety of situations in which attention was continuously reoriented in space. Following a brief introduction and review in Chapter One, Chapter Two reports the result of the first high-density (64-electrode) study of the ERP correlates of transient spatial auditory attention. This chapter concludes with the speculation that transient attention modulates neurons within a dedicated spatial processing or "where" pathway that projects posteriorly and dorsally from auditory cortex. Chapter Three checks the assumptions of this hypothesis by identifying an ERP correlate of spatial processing and localizing the generator of this correlate to a region of cortex believed to constitute part of this "where" pathway. Finally, Chapter Four reports the results of several experiments that localized certain attention-related modulations of the ERP to this putative "where" pathway. These experiments also demonstrated that transient auditory attention involves a complex interaction between stimulus-driven and goal-driven (bottom-up and top-down) processes that lead to distinctly different patterns of ERP activity. The thesis concludes with a discussion of the advancements made, relative to the state of previous knowledge, as a result of the work presented here.
Versatile anycasting with mobile IPv6

Anycasting was introduced to facilitate efficient communication between distributed Internet services and their clients, as it allows client requests to be automatically routed to nearby service instances. However, even though several any-cast implementations have been proposed, their various limitations prevent them from being widely adopted by large-scale distributed systems.This paper identifies the key limitations of existing anycast implementations, and proposes how to implement anycast such that all these limitations are addressed without harming the performance of anycast communication. Our solution relies on address-translation capabilities present in modern operating systems. These capabilities have originally been designed for communication with mobile nodes. However, we demonstrate that one can exploit them to implement versatile anycasting at low cost.
An Affective and Adaptive E-Learning System : A Machine Learning Based Approach

-E-learning has become a useful tool in today’s education used widely by independent learners, corporate organizations and educational institutions. However e-learning systems, in most cases falter because unlike a conventional teacher-student setup, e-learning environments cannot detect student moods and emotions. This often leaves way students are left on their own, with no guiding or motivating force channelizing their process of learning, increasing the dropout rates in such systems. The present work proposes a novel approach to analyze learners’ emotions using machine learning technique with no expensive equipment or questionnaire involved in the detection process. Hereby, the system on its own acts like a conventional teacher, which can predict a learner’s learning state and mood based on his actions and teaches accordingly. Here using that learning state, the learner’s emotion is instantly deduced by using Barry Kort’s spiral learning model, providing an idea of a learner’s emotional state at any given point of the learning process, which can then be used to improve the emotional state of the learner wherever required.
Application of task concurrency management on dynamically reconfigurable hardware platforms

Dynamically reconfigurable hardware (DRHW) can take advantage of its reconfiguration capability to adapt at run-time its performance and its power consumption. However, due to the lack of programming support for dynamic task placement on these platforms, no previous work has been presented studying the performance/power trade-offs. To cope with the task placement problem in a straight way that allows us to go one step further, we have adopted an interconnection-network-based DRHW mode, which includes operating system support to reallocate tasks at run-time. On top of this model we have applied an emerging task concurrency management (TCM) methodology initially developed for multiprocessor platforms with promising results. Moreover, we have identified the next step needed to create a specific TCM support for DRHW platforms.
Proof of Entropy Power Inequalities Via MMSE

The differential entropy of a random variable (or vector) can be expressed as the integral over signal-to-noise ratio (SNR) of the minimum mean-square error (MMSE) of estimating the variable (or vector) when observed in additive Gaussian noise. This representation sidesteps Fisher's information to provide simple and insightful proofs for Shannon's entropy power inequality (EPI) and two of its variations: Costa's strengthened EPI in the case in which one of the variables is Gaussian, and a generalized EPI for linear transformations of a random vector due to Zamir and Feder
Bone Metabolic Abnormalities Associated with Well-Controlled Type 1 Diabetes (IDDM) in Young Adult Women: A Disease Complication Often Ignored or Neglected

Objectives: This investigation on a homogenous cohort of young adult Caucasian type 1 diabetic (IDDM) patients (1) aimed at studying the occurrence of low bone mineral density (BMD) at an early stage prior to menopause (i.e., during the first decade after peak bone mass) and (2) elucidating the possible mechanisms underlying IDDM-induced bone complication. Methods: Twenty-seven female patients with insulin-treated and well-controlled diabetes, without renal complications, and 32 well-matched healthy controls, aged between 30 and 40 years and fulfilling rigorous inclusion criteria to minimize bone-confounding factors, were enrolled. Areal BMD was evaluated by dual energy X-ray absorptiometry at axial (lumbar spine) and appendicular (femur) sites, using diagnostic WHO reference (T-scores). Osteoblast functions, bone metabolism, related key minerals, and 2 osteoclast-stimulating calciotropic hormones regulating their serum levels were assessed biochemically. Results: The number of cases with low BMD (T-score below −1.1 SD) was almost 2-fold greater (p < 0.01) in the IDDM group. BMD was significantly lower in this group for 3 lumbar sites (p < 0.01) and femur Ward's triangle (p < 0.05). Bone formation was reduced, as evidenced by the suppressions of osteocalcin (OC; p < 0.01) and IGF-I (p < 0.001). However, bone alkaline phosphatase (bALP) was induced (p < 0.01), in contrast to what is usually observed in cases of reduced bone formation. Correlated total ALP activity was also significantly increased. There was no change in the specific marker of bone resorption (urinary deoxypyridinoline). Serum calcium was significantly elevated, particularly after adjustment for albumin (p < 0.001), despite lower 1,25(OH)2D3 (p < 0.001) and no elevation of PTH. All significant bone-related biochemical changes were significantly correlated with glycosylated hemoglobin, a clinical indicator of long-term glycemic control, indicating a direct effect of the disease. Conclusions: Bone loss in the IDDM group results from a decrease in bone formation rather than an increase of bone resorption. The induction of bALP is indicative of impaired osteoblast differentiation and maturation, which delayed (down-regulated) later stages of matrix mineralization, as evidenced by lower OC and BMD.
Enabling the implementation of spatial interweave LTE cognitive radio

LTE the latest mobile network standard, is widely adopted and targets high spectral efficiency. Cognitive radio (CR) systems on the other hand enable smart use of wireless resources leading to significant performance and reliability improvement. Accordingly, adopting the LTE specifications in CR it is a reasonable choice to optimized the spectrum utilisation in wireless communications. In this paper, we investigate some issues in the real-time implementation of a TDD (time division duplex) LTE-based spatial interweave (IW) CR. Indeed, the IW-CR requires the channel state information (CSI) to opportunistically exploit spatial holes for cognitive transmissions. Preliminary works have illustrated the possibility to acquire the CSI through the calibration of the channel reciprocity inherent in TDD systems. However, they consider constant radio frequency (RF) filters, which leads to perturbations in the IW-CR. Hence, we propose a new tracking method to tackle the variation in the RF. The whole system is implemented and evaluated on an experimental platform, where the simulation results reveal performance enhancement using this new approach.
How forearm position affects grip strength.

OBJECTIVE Several studies have indicated that changing body positions results in altered grip strengths. Although one might expect that grip strength would be influenced by the position of the forearm during gripping due to the biomechanical properties of the forearm and hand muscles, no investigations of this variable have been undertaken. METHOD This study examined the effect on grip strength of moving the forearm among supinated, neutral, and pronated positions while maintaining the standard position recommended by the American Society of Hand Therapists. The mean of three grip trials in each position was recorded for each of 106 subjects. RESULTS Grips in forearm supination were the strongest, followed by grips in the neutral position. Grips in pronation were the weakest. CONCLUSIONS The changes in grip strength observed with variations in forearm position further support the necessity of a standard position for testing grip strength. The knowledge of how changes in body position affect the strength of the grip can be used to design environments and tools to maximize biomechanical abilities.
Response of Autonomic Nervous System to Body Positions

Two mathematical methods, the Fourier and wavelet transforms, were used to study the short term cardiovascular control system. Time series, picked from electrocardiogram and arterial blood pressure lasting 6 minutes, were analyzed in supine position (SUP), during the first (HD1) and the second parts (HD2) of 90° head down tilt, and during recovery (REC). The wavelet transform was performed using the Haar function of period $T=2^j (j=1,2,\dots,6)$ to obtain wavelet coefficients. Power spectra components were analyzed within three bands, VLF (0.003–0.04), LF (0.04–0.15) and HF (0.15–0.4) with the frequency unit cycle/interval. Wavelet transform demonstrated a higher discrimination among all analyzed periods than the Fourier transform. For the Fourier analysis, the LF of R–R intervals and VLF of systolic blood pressure show more evident difference for different body positions. For the wavelet analysis, the systolic blood pressures show much more evident differences than the R–R intervals. This study suggests.
Atrazine induces complete feminization and chemical castration in male African clawed frogs (Xenopus laevis)

The herbicide atrazine is one of the most commonly applied pesticides in the world. As a result, atrazine is the most commonly detected pesticide contaminant of ground, surface, and drinking water. Atrazine is also a potent endocrine disruptor that is active at low, ecologically relevant concentrations. Previous studies showed that atrazine adversely affects amphibian larval development. The present study demonstrates the reproductive consequences of atrazine exposure in adult amphibians. Atrazine-exposed males were both demasculinized (chemically castrated) and completely feminized as adults. Ten percent of the exposed genetic males developed into functional females that copulated with unexposed males and produced viable eggs. Atrazine-exposed males suffered from depressed testosterone, decreased breeding gland size, demasculinized/feminized laryngeal development, suppressed mating behavior, reduced spermatogenesis, and decreased fertility. These data are consistent with effects of atrazine observed in other vertebrate classes. The present findings exemplify the role that atrazine and other endocrine-disrupting pesticides likely play in global amphibian declines.
Herpetic Stromal Keratitis following Selective Laser Trabeculoplasty

This is a case report describing two cases of disciform corneal edema following uncomplicated selective laser trabeculoplasty (SLT) thought to be secondary to herpes simplex virus (HSV) given the presence of a dendrite, decreased corneal sensation, corneal thinning, and response to therapy with oral and topical antivirals. Corneal edema after SLT treatment has been reported before, but the etiology has been unclear. Our cases highlight HSV as a likely etiology, which may help with prevention and better management of such cases in the future.
Real-Time Rendering and Manipulation of Large Terrains

Terrains are challenging geometric objects for real-time rendering and interactive manipulation. State-of-the-art terrain rendering systems use custom, multi-resolution, representations like geometry clipmaps for fast rendering on the GPU. In this paper, we present a system that exploits the power and flexibility of the modern GPUs to store, render, and manipulate terrains with minimal CPU involvement. The central idea is to use a regular-grid representation and fixed size blocks/tiles that change in resolution. The potentially visible portion of the terrain is cached at the highest necessary resolution and is rendered from the GPU. The CPU sends a light geometry template which is expanded by the Geometry Shader to the triangles, using the heights stored in the GPU Cache. The CPU performs a coarse culling of the tiles with the GPU performing fine culling. The GPU cache is updated continuously as the viewpoint changes. Our system enables the terrain to be modified procedurally or edited interactively on the GPU with no CPU involvement. The terrain can also interact with a large number of external objects in real-time entirely within the GPU. We achieve a consistent rendering rate of 100 frames per second with terrain modification and interactions as well as a triangle rate of upto 350 million per second on an Nvidia 8800 GTX GPU for large terrains, with a CPU load below 10%.
Correlated Default with Incomplete Information

We propose a model of correlated multi-firm default with incomplete information. While public bond investors observe issuers' assets and defaults, we suppose that they are not informed about the threshold asset level at which a firm is liquidated. Bond investors form instead a prior on these thresholds. Stochastic dependence between default events is induced through correlated asset values and correlated default thresholds. The former results from dependence of firms on common macroeconomic factors, while the latter corresponds to direct inter-firm linkages. Having addressed this issuer interdependence, the predictions of our model are consistent with empirically well documented facts, in particular the clustering of defaults. We characterize joint conditional default probabilities as assessed by the imperfectly informed secondary market. The representation of dependence via (conditional) copulas is emphasized. We propose the default time copula as a consistent default correlation measure, which overcomes the limitations of existing covariance based measures. A case study is examined, where issuers' assets follow geometric Brownian motions and bond investors' threshold prior is uniform.
Deep Convolutional Neural Networks for Text Spotting in Natural Images

In this work we investigate and extend the current state-of-the-art system for text spotting in natural images [Jaderberg et al. 2014a]. First, we extend text recognition to be case-sensitive and include special characters and punctuation marks. Next, we improve text recognition at various word-length scales using separate deep convolutional neural networks for different length intervals. Finally, we introduce the improvements made to the text-spotting algorithm for our entry in the ICDAR 2015 Robust Reading Competition, which was placed at the top. ∗e-mail:{ankush,az,vedaldi}@robots.ox. ac.uk