Miracle-dz/UniFAR-FTUs huggingface dataset:
DEMANDAS CINEMÁTICAS EN DOS TIPOS DE ESPACIOS REDUCIDOS EN JUGADORES UNIVERSITARIOS DE FÚTBOL DE COSTA RICA

El proposito de esta investigacion fue comparar las demandas cinematicas en dos tipos de dimensiones de juego en jugadores de futbol universitario costarricenses. 14 jugadores universitarios de futbol de Costa Rica jugaron dos juegos en campo reducido (SSG) (2x10min, 3min de descanso): C1 (600m 2 ) y C2 (1200 m 2 ). Se utilizo un Sistema de Posicionamiento Global para medir las variables cinematicas y fisiologicas en ambas condiciones. Se utilizo un ANOVA mixto; los resultados sugirieron que C1 y C2 fueron estadisticamente diferentes en velocidad (C1 C2). Al analizar la distancia recorrida por la categoria de velocidad; en acciones de carrera baja, moderada y alta intensidad, los resultados sugieren que C2 posee mayores intensidades en comparacion con C1. Esta investigacion confirma los resultados de estudios previos sobre la efectividad de SSG para simular condiciones de juego real en periodos cortos de tiempo. Conclusiones: El C2 presento una mayor intensidad en comparacion con el juego C1 con menores demandas fisiologicas. Asimismo, el C2 refleja de manera mas exacta las condiciones en partidos oficiales de jugadores costarricenses.
Quasi-morphisms and the Poisson bracket

For a class of symplectic manifolds, we introduce a functional which assigns a real number to any pair of continuous functions on the manifold. This functional has a number of interesting properties. On the one hand, it is Lipschitz with respect to the uniform norm. On the other hand, it serves as a measure of non-commutativity of functions in the sense of the Poisson bracket, the operation which involves first derivatives of the functions. Furthermore, the same functional gives rise to a non-trivial lower bound for the error of the simultaneous measurement of a pair of non-commuting Hamiltonians. These results manifest a link between the algebraic structure of the group of Hamiltonian diffeomorphisms and the function theory on a symplectic manifold. The above-mentioned functional comes from a special homogeneous quasi-morphism on the universal cover of the group, which is rooted in the Floer theory.
Measuring hospital quality: what physicians do? How patients fare? Or both?

many of these issues apply to most efficacy studies of pharmacological agents in the early stages of research on the product. Another major concern is not necessarily related to the methods or results of the published articles but rather is the potential reaction to these reports by the public. Whenever a new stop smoking agent is approved by the FDA (and to some degree this occurs with any new drug), there is often unbridled enthusiasm regarding the potential to solve the problems associated with smoking. Starting with the release of nicotine gum, each product that the FDA approved for smoking cessation has received considerable media attention , which likely reflects the public health issues associated with smoking and how many people desperately need and want help to quit. Now, with the recent FDA approval of varenicline, the first new non–nicotine-containing agent for smoking cessation approved in almost a decade, the attention directed toward this drug is likely to be just as great. It is important for clinicians to moderate some of the potential enthusiasm that is likely to occur as the result of the publication of these trials, FDA approval of the drug, and promotion by this manufacturer. On the one hand, these studies 1-3 demonstrate that varenicline is associated with higher smoking cessation rates than placebo and may produce better cessation rates than bupropion, a first-line– approved smoking cessation drug. Importantly, vareni-cline represents a third class of drug with probably a different mechanism of action than either nicotine replacement therapy or bupropion. On the other hand, varenicline definitely is not a panacea for smoking cessation. Many participants in these trials experienced adverse events, stopped taking their study medication before they should have, and discontinued participation in the studies. Importantly, the majority of participants in these 3 studies did not quit smoking even with varenicline. Clearly, quitting smoking, even with pharmacological and behavioral assistance, is extremely difficult. Patients currently cannot and probably never will simply be able to " take a pill " that will make them stop smoking. Smokers must want to stop smoking and must be willing to work hard to achieve the goal of smoking abstinence. Although much research needs to be conducted to establish the effectiveness of varenicline, stop smoking researchers and clinicians, as well as smokers wanting to quit smoking , now have another product available that appears to help increase the probability of smoking …
UEDashboard: awareness of unusual events in commit histories

To be able to respond to source code modifications with large impact or commits that necessitate further examination, developers and managers in a software development team need to be aware of anything unusual happening in their software projects. To address this need, we introduce UEDashboard, a tool which automatically detects unusual events in a commit history based on metrics and smells, and surfaces them in an event feed. Our preliminary evaluation with a team of professional software developers showed that our conceptualization of unusual correlates with developers' perceptions of task difficulty, and that UEDashboard could be useful in supporting development meetings and for pre-commit warnings.
Measurement Properties of Questionnaires Assessing Complementary and Alternative Medicine Use in Pediatrics: A Systematic Review

Objective Complementary and alternative medicine (CAM) is commonly used by children, but estimates of that use vary widely partly due to the range of questionnaires used to assess CAM use. However, no studies have attempted to appraise measurement properties of these questionnaires. The aim of this systematic review was to critically appraise and summarize measurement properties of questionnaires of CAM use in pediatrics. Study design A search strategy was implemented in major electronic databases in March 2011 and conference websites, scientific journals and experts were consulted. Studies were included if they mentioned a questionnaire assessing the prevalence of CAM use in pediatrics. Members of the team independently rated the methodological quality of the studies (using the COSMIN checklist) and measurement properties of the questionnaires (using the Terwee and Cohen criteria). Results A total of 96 CAM questionnaires were found in 104 publications. The COSMIN checklist showed that no studies reported adequate methodological quality. The Terwee criteria showed that all included CAM questionnaires had indeterminate measurement properties. According to the Cohen score, none were considered to be a well-established assessment, two approached the level of a well-established assessment, seven were promising assessments and the remainder (n = 87) did not reach the score’s minimum standards. Conclusion None of the identified CAM questionnaires have been thoroughly validated. This systematic review highlights the need for proper validation of CAM questionnaires in pediatrics, which may in turn lead to improved research and knowledge translation about CAM in clinical practice.
An online implementation of robust RGB-D SLAM

This paper presents an online robust RGB-D SLAM algorithm which uses an improved switchable constraints robust pose graph slam alongside with radial variance based hash function as the loop detector. The switchable constraints robust back-end is improved by initialization of its weights according to information matrix of the loops and is validated using real world datasets. The radial variance based hash function is combined with an online image to map comparison to improve accuracy of loop detection. The whole algorithm is implemented on K. N. Toosi University mobile robot with a Microsoft Kinect camera as the RGB-D sensor and the whole algorithm is validated using this robot, while the map of the environment is generated in an online fashion.
Age-Related Macular Degeneration Screening Using Data Mining Approaches

This paper investigates the use of tabular approach to classifying retinal images according to whether they feature Age-related Macular Degeneration (AMD), a retina condition that causes blindness in old age. The novelty of the proposed approach is that it is not founded on feature segmentation, instead entire image encodings are used. Features in the form of statistical parameters extracted directly and indirectly from the images are considered. For the evaluation two publically available, retinal fundus image data sets were used. The evaluation was conducted in the context of AMD screening. Excellent results were produced: Sensitivity and AUC of 90% and over were recorded for binary-class classification problem.
VHDL implementation of high performance RC6 algorithm using ancient Indian vedic mathematics

RC6 is the successor to RC5. It is one of the most promising algorithms that is both fast and secure. It uses four w-bit registers, integer multiplication, quadratic equation and fixed bit shifting. This paper examines how the Vedic algorithm of Urdhva tiryagbhyam speeds up the computation of this algorithm when compared with conventional algorithms in existence.
Mistaking friends for foes: an analysis of a social network-based Sybil defense in mobile networks

The Sybil attack is very challenging in the context of distributed systems; Sybil nodes with multiple identities try to deviate the behavior of the overall system from normal behavior. Recently, there have been a lot of interests in social-network based Sybil defenses weighing the trust in social networks to detect Sybil nodes. Such defenses use some algorithmic properties relating to the topological structure of the social networks. However, the use of those properties without validating them in realistic settings makes their applicability impossible in the real-world applications. In this paper, we discuss such inapplicability by analyzing MobID, a recently proposed defense for mobile environments which claims that existing defenses have largely been designed for peer-to-peer networks. MobID uses the betweenness, a graph-theoretic property in the social graph, as a metric of the goodness of nodes in order to defend against the Sybil attacks. By using this betweenness, MobID operates on two fundamental assumptions: i) highly enmeshed nodes in the social graphs have a nonzero betweenness, and ii) verifiers and suspects in an honest social graph have common friends. However, extensive experiments and detailed analysis with real-world social network traces show that these assumptions do not hold well. Accordingly, MobID does not work for a great portion of the network, which is in some cases greater than 50% of the network size, even when not using a threshold on the betweenness. By setting a very low, highly-precise threshold of the betweenness (e.g., less than 10-4), we observe a dramatic loss in the performance of MobID, which corresponds to 8%--30% overall acceptance rates of honest nodes (and the remaining nodes are rejected). On the other hand, we observe that existing work, as well as other recently proposed work that is based on the community structure, can be used as an alternative for Sybil defenses in the same context.
All the World's a Stage: Learning Character Models from Film

Many forms of interactive digital entertainment involve interacting with virtual dramatic characters. Our long term goal is to procedurally generate character dialogue behavior that automatically mimics, or blends, the style of existing characters. In this paper, we show how linguistic elements in character dialogue can define the style of characters in our RPG SpyFeet. We utilize a corpus of 862 film scripts from the IMSDb website, representing 7,400 characters, 664,000 lines of dialogue and 9,599,000 word tokens. We utilize counts of linguistic reflexes that have been used previously for personality or author recognition to discriminate different character types. With classification experiments, we show that different types of characters can be distinguished at accuracies up to 83% over a baseline of 20%. We discuss the characteristics of the learned models and show how they can be used to mimic particular film characters.
Analysis of Malware Behaviour: Using Data Mining Clustering Techniques to Support Forensics Investigation

The proliferation of malware in recent times have accounted for the increase in computer crimes and prompted for a more aggressive research into improved investigative strategies, to keep up with the menace. Recent techniques and tools that have been developed and adopted to keep up in an arms race with malware authors who have resorted to the use of evasive techniques to avoid analysis during investigation is an on-going concern. Exploring dynamic analysis is unarguably, a positive step to supporting static evidence with malware dynamic behaviour logs. In view of this, analysing this huge generated reports raises concerns about speed, accuracy and performance. This research proposes an Automated Malware Investigative Framework Model, a component based approach that is designed to support investigation by integrating both malware analysis and data mining clustering techniques as part of an effort to solve the problem of overly generated reports. Thus, grouping analysed suspicious samples that exhibit similar behavioural features to make investigation easy and more intuitive. The focus of this paper however, is on implementing sub-components of the framework that directly deals with the problem at hand.
2 Complete Boolean algebras and their ultraproducts

We prove that for any weakly convergent sequence of finite graphs with bounded vertex degrees, there exists a limit graphing. The spectral measure of the Laplacian on the limit graphing is the weak limit of the spectral measures of the Laplacians of the finite graphs. AMS Subject Classifications: 05C80
Cosmic-Ray Acceleration at Ultrarelativistic Shock Waves: Effects of Downstream Short-Wave Turbulence

The present paper is the last of a series studying the first-order Fermi acceleration processes at relativistic shock waves with the method of Monte Carlo simulations applied to shocks propagating in realistically modeled turbulent magnetic fields. The model of the background magnetic field structure of Niemiec & Ostrowski has been augmented here by a large-amplitude short-wave downstream component, imitating that generated by plasma instabilities at the shock front. Following the recent work of Niemiec & Ostrowski, we have considered ultrarelativistic shocks with the mean magnetic field oriented both oblique and parallel to the shock normal. For both cases, simulations have been performed for different choices of magnetic field perturbations, represented by various wave power spectra within a wide wavevector range. The results show that the introduction of the short-wave component downstream of the shock is not sufficient to produce power-law particle spectra with the "universal" spectral index 4.2. On the contrary, concave spectra with cutoffs are preferentially formed, the curvature and cutoff energy being dependent on the properties of turbulence. Our results suggest that the electromagnetic emission observed from astrophysical sites with relativistic jets, e.g., active galactic nuclei and gamma-ray bursts, is likely generated by particles accelerated in processes other than the widely invoked first-order Fermi mechanism.
Design of spreading sequences for SMPT-based CDMA systems

Due to the popularity of the World Wide Web stringent quality of service has to be exported to the wireless network devices. Additional synchronous CDMA channels for each wireless terminal are one possibility to guarantee the required quality of service. The aim of this paper is to show the significance of careful design of spreading sequences for the system performance. Three strategies for allocating spreading sequences are presented and compared. A lower bound on the average interference is given. It is shown which properties spreading sequences need so as to achieve the lower bound.
Efficacy and safety of switching from reference infliximab to CT-P13 compared with maintenance of CT-P13 in ankylosing spondylitis: 102-week data from the PLANETAS extension study

Objectives To investigate the efficacy and safety of switching from infliximab reference product (RP) to its biosimilar or maintaining biosimilar treatment in patients with ankylosing spondylitis (AS). Methods This open-label extension study recruited patients with AS who completed a 54-week, randomised controlled study comparing CT-P13 with RP (PLANETAS). CT-P13 (5 mg/kg) was administered intravenously every 8 weeks from week 62 to week 102. Efficacy end points included the proportion of patients achieving Assessment of SpondyloArthritis international Society (ASAS)20. Antidrug antibodies (ADAs) were measured using an electrochemiluminescent method. Data were analysed for patients treated with CT-P13 in the main PLANETAS study and the extension (maintenance group) and those who were switched to CT-P13 during the extension study (switch group). Results Overall, 174 (82.9%) of 210 patients who completed the first 54 weeks of PLANETAS and agreed to participate in the extension were enrolled. Among these, 88 were maintained on CT-P13 and 86 were switched to CT-P13 from RP. In these maintenance and switch groups, respectively, ASAS20 response rates at week 102 were 80.7% and 76.9%. ASAS40 and ASAS partial remission were also similar between groups. ADA positivity rates were comparable (week 102: 23.3% vs 27.4%). Adverse events led to treatment discontinuation during the extension study in 3 (3.3%) and 4 (4.8%) patients, respectively. Conclusions This is the first study to show that switching from RP to its biosimilar CT-P13 is possible without negative effects on safety or efficacy in patients with AS. In the maintenance group, CT-P13 was effective and well tolerated over 2 years of treatment. Trial registration number NCT01571206; Results.
An Improved Harris Corner Detector

Harris corner detector though detects corners with some precision, posesses drawbacks like smoothing out of weak corners and degraded localization accuracy. In this paper, we propose a novel corner detection algorithm to overcome these problems. We construct a nonlinear structure tensor instead of linear as suggested by Harris corner detector. In Harris corner detector, only the relative position between the pixels has been considered, while creating the structure tensor. However, in the proposed method we measure the relative positions between neighbouring pixels and also intensity variations between them by considering a small patch around the candidate pixel. Further, to identify and remove falsely detected corners from the true corners, we suggest Gaussian smoothing at multiple scales as a post-processing step. We have achieved an improvement in localization accuracy, detection rate and anti-noise factor in comparison with other state-of-the-art corner detectors.
Modelo de interacción entre el dibujo y las actividades sensomotrices (MIDAS): Fomentando la inteligencia espacial

El ensayo fue motivado por la idea de aprovechar el efecto potenciador de la inteligencia espacial quepromueve la interaccion entre el dibujo y las habilidades visuales espaciales. La triada percibir-visualizar-dibujar reune capacidades motoras e intelectuales, en un proceso que favorece la informacionvisual. El Modelo de interaccion entre el dibujo y las actividades sensomotrices (MIDAS) define, explicay conecta esos ejes tematicos como un sistema que produce aprehension del objeto y generacion eintegracion de aprendizajes, mediante el desarrollo de habilidades fisicas y mentales.Se presenta el modelo, subrayando su valor como herramienta teorica, capaz de encauzar las innovacioneseducativas en dos direcciones: desde el dibujo hacia el desarrollo de destrezas intelectualeso desde las habilidades visuales espaciales hacia el mejoramiento de la precision en eldibujo y de la metodologia de ensenanza.
A simpler and more efficient deterministic scheme for finding frequent items over sliding windows

In this paper, we give a simple scheme for identifying ε-approximate frequent items over a sliding window of size n. Our scheme is deterministic and does not make any assumption on the distribution of the item frequencies. It supports O(1/ε) update and query time, and uses O(1/ε) space. It is very simple; its main data structures are just a few short queues whose entries store the position of some items in the sliding window. We also extend our scheme for variable-size window. This extended scheme uses O(1/ε log(εn)) space.
Upregulation of long non-coding RNA urothelial carcinoma associated 1 by CCAAT/enhancer binding protein α contributes to bladder cancer cell growth and reduced apoptosis

Long non-coding RNA urothelial carcinoma associated 1 (lncRNA-UCA1) is upregulated in bladder cancer and plays a pivotal role in bladder cancer progression and metastasis. Recent studies and our research found that lncRNA-UCA1 may be an important biomarker and therapeutic target for bladder cancer. However, the molecular mechanism involved in the upregulation of lncRNA-UCA1 in bladder cancer is largely unknown. In the present study, we showed that lncRNA-UCA1 expression in bladder cancer cells was upregulated by transcription factor CCAAT/enhancer binding protein α (C/EBPα), which was the only candidate transcription factor simultaneously predicted by a total of five bioinformatical software programs. Electrophoretic mobility shift assay and chromatin immunoprecipitation assay indicated that C/EBPα bound to the lncRNA-UCA1 core promoter region in vitro and in vivo. The luciferase assays further showed that there was a point mutation (A231G) in the C/EBPα binding site of the lncRNA-UCA1 core promoter in various bladder cancer cell lines, which in turn significantly increased the transcriptional activity of lncRNA-UCA1. We also demonstrated that C/EBPα siRNA treatment contributed to the downregulation of lncRNA-UCA1 expression, whereas overexpression of C/EBPα enhanced lncRNA-UCA1 expression. Furthermore, lncRNA-UCA1 transcriptional repression by C/EBPα siRNA sharply reduced cell viability and induced cell apoptosis in vitro. Collectively, our results provide a novel therapeutic strategy for bladder cancer by effectively interrupting the binding of the lncRNA-UCA1 promoter and certain transcription factors, so as to reverse the upregulation of lncRNA-UCA1 and prevent bladder cancer progression.