Miracle-dz/UniFAR-FTUs huggingface dataset:
Epidemiology of Muscle Injuries in Professional Football (Soccer)

Background: Muscle injuries constitute a large percentage of all injuries in football. Purpose: To investigate the incidence and nature of muscle injuries in male professional footballers. Study Design: Cohort study; Level of evidence, 2. Methods: Fifty-one football teams, comprising 2299 players, were followed prospectively during the years 2001 to 2009. Team medical staff recorded individual player exposure and time-loss injuries. The first-team squads of 24 clubs selected by the Union of European Football Associations as belonging to the best European teams, 15 teams of the Swedish First League, and another 15 European teams playing their home matches on artificial turf pitches were included. A muscle injury was defined as “a traumatic distraction or overuse injury to the muscle leading to a player being unable to fully participate in training or match play. ” Results: In total, 2908 muscle injuries were registered. On average, a player sustained 0.6 muscle injuries per season. A squad of 25 players can thus expect about 15 muscle injuries per season. Muscle injuries constituted 31% of all injuries and caused 27% of the total injury absence. Ninety-two percent of all muscle injuries affected the 4 major muscle groups of the lower limbs: hamstrings (37%), adductors (23%), quadriceps (19%), and calf muscles (13%). Sixteen percent of the muscle injuries were reinjuries. These reinjuries caused significantly longer absences than did index injuries. The incidence of muscle injury increased with age. When separated into different muscle groups, however, an increased incidence with age was found only for calf muscle injuries and not for hamstring, quadriceps, or hip/groin strains. Conclusion: Muscle injuries are a substantial problem for players and their clubs. They constitute almost one third of all time-loss injuries in men’s professional football, and 92% of all injuries affect the 4 big muscle groups in the lower limbs.
Comparison between two cyclooxygenase inhibitors in an experimental dry eye model in albino rabbits

Comparison between two cyclooxygenase inhibitors in an experimental dry eye model in albino rabbits The purpose of this study was to compare the topical anti-inflammatory effects of the nonselective cyclooxygenase (COX) inhibitor, ketorolac, with the selective COX-2 inhibitor, nimesulide, in an animal model of dry eye in albino rabbits. All animals were examined by the Schirmer test, tear break-up time (TBUT) and fluorescein corneal staining test. Dry eye model showed significant reduction in tear volume, TBUT, corneal staining and histopathological signs of dryness and inflammation. On treating dry eye model with nimesulide 0.1% eye drops and ketorolac 0.5% eye drops, there were improvements in Schirmer test values, TBUT and fluorescein corneal staining and histopathologically reduced inflammatory reaction, with signs of healing and regeneration. Both nimesulide and ketorolac ameliorate atropine sulphate induced dry eye in albino rabbits. The use of selective COX-2 inhibitor, nimesulide, is preferred to avoid local and systemic side effects which may occur with the use of the nonselective COX inhibitor, ketorolac. Usporedba dvaju inhibitora cikooksigenaze u eksperimentalnom modelu suhog oka u albino kunića Cilj istraživanja bila je usporedba topičkog protuupalnog učinka neselektivnog inhibitora ciklooksigenaze (COX), ketorolaka i selektivnog COX-2 inhibitora, nimesulida na animalnom modelu suhog oka u albino kunića. Na životinjama je proveden Schirmerov test, vrijeme prestanka suzenja oka (TBUT) i test bojenja rožnice fluoresceinom. U animalnom modelu suhog oka značajno je smanjen volumen suza, TBUT, bojenje rožnice i histopatološki simptomi suhoće i upale. Obradom suhog oka s kapima za oči koje sadrže 0,1% nimesulida, odnosno 0,5% ketorolaka, poboljšane su vrijednosti u Schirmerovom testu, TBUT i bojanje rožnice fluoresceinom, smanjena je upalna reakcija, a na oku su se pokazali simptomi ozdravljenja i regeneracije. I nimesulid i ketorolak smanjuju suhoću oka induciranu atropin sulfatom u albino kunića. Uporaba selektivnog COX-2 inhibitora, nimesulida, se preferira jer se izbjegavaju lokalne i sistemske nuspojave koje se mogu pojaviti uz uporabu neselektivnog COX inhibitora, ketorolaka.
Examining the effects of social networks formed in a senior-oriented online community on older participants’ subjective well-being in China

In recent decades, the dramatic socioeconomic changes that have occurred in China have increasingly affected the social lives of older Chinese adults. The purpose of this study is to determine whether the social networks developed in an online community contributed to the subjective well-being of this age group. The underlying mechanism of this effect was examined by investigating a senior-oriented online community (OldKids). An online survey was administered to participants in the OldKids network. The results showed that the proposed theoretical model was effective in demonstrating that their participation in the OldKids network improved the participants’ subjective well-being through the mediation of perceived social support and feelings of social connectedness. The theoretical and practical implications of the results are discussed in this paper.
Uncertainty Aware Clustering for Behaviour in Enterprise Networks

Understanding relationships between entities in a computer network is an important task in enterprise cyber-security. This paper presents a novel procedure for exploring similarity relationships in Netflow behaviour - activity over time. We demonstrate a two-stage procedure. First, a statistical model is used as a summary of raw data. Naturally, the parameters of such a model are subject to estimation uncertainty. The second stage develops a similarity metric that incorporates this uncertainty. Standard clustering procedures then become available. We illustrate the method using connection-based data derived from Netflow records, from a recently released public domain data set.
Food heritage and promoting herbal medicine-based niche tourism in Isfahan, Iran

ABSTRACT The dynamic and competitive nature of tourism means that surviving commercially may require the emergence of niche tourism. This paper presents a niche tourism sector that emphasizes medicinal plants: herbal medicine-based tourism. This research has two major purposes: to investigate innovation and strategies for promoting herbal-medicine-based tourism and to demonstrate strategies for integrating tourism and medicinal plants for the purpose of education and knowledge transfer. This study was conducted in Isfahan, Iran. The results show that strategies (such as outdoor activities and tourist workshops in herbal medicine parks/farms or in the plants’ natural habitats; training tour guides who are familiar with botany and medicinal plants; and the integration of traditional medicine and tourism to emphasize the therapeutic properties of medical plants) can play a central role in tourism based upon learning about and consuming traditional medicinal herbs. The innovative strategies for promoting this specialized form of tourism are classified into five main categories.
DSP-Based Implementation of Control Strategy for Sinusoidal Input Line Current Imposition for a Hybrid Three-Phase Rectifier

Due to the considerable increase of electronic power processing devices in various segments of industry, the necessity to control and limit the harmonic content of current injected into the distribution systems through the development of pre-regulator converters, has become ever more apparent. Concomitantly, the development of new microprocessors has provided the possibility for the design of sophisticated control algorithms for power electronics converters. In this context, this paper presents an analysis of a hybrid three-phase rectifier developed for power factor correction to be used as an interface of power electronics converters. The main feature of the proposed structure is the power-sharing technique, which assures robustness, cost reduction, and high power density. In this paper, the authors present a complete discussion concerning the controlled rectifier's power contribution and also a complete analysis concerning the total harmonic distortion of current. Mathematical modeling analysis using state space theory is also presented. Experimental results of a 5-kW laboratory prototype using DSP-based control technique are presented in order to corroborate the theoretical analysis.
Color Extension of Monogenic Wavelets with Geometric Algebra : Application to Color Image Denoising

We deﬁne a color monogenic wavelet transform. This is based on the recent grayscale monogenic wavelet transform and an extension to color signals aimed at deﬁning non-marginal tools. Wavelet based color image processing schemes have mostly been made by using a grayscale tool separately on color channels. This may have some unexpected effect on colors because those marginal schemes are not necessarily justiﬁed. Here we propose a deﬁnition that considers a color (vector) image right at the beginning of the mathematical deﬁnition so we can expect to bring an actual color wavelet transform - which has not been done so far to our knowledge. This so provides a promising multiresolution color geometric analysis of images. We show an application of this transform with a statistical modeling of coefﬁcients for color denoising issue.
Legal issues surrounding monitoring during network research

This work was motivated by a discussion that two of the coauthors (computer science professors) had with the other coauthor (a law professor and a former computer crime Trial Attorney at the U.S. Department of Justice), in which it was pointed out that some of the network measurements that the computer scientists were thinking of making might potentially violate Federal laws. Several Federal laws prohibit or restrict network monitoring and the sharing of records of network activity. These laws are designed to protect online privacy. They apply both to private parties and government agents, although the details vary depending on who is doing the monitoring. The most important thing to note is that none of these laws contain any specific exceptions or safe harbors for scientific or academic research. The laws are complex, but they follow a basic pattern. First, certain types of network monitoring and data access are prohibited. People who violate the prohibitions may be sued by the people whose privacy they invade and potentially prosecuted and convicted of federal crimes (i.e., misdemeanor and felony convictions). In this paper, we will examine these laws and consider what they might mean for the network measurement community. Although we focus on U.S. Federal Law, we also highlight general trends and approaches in state and international laws that impact network researchers. We will examine the steps commonly taken in prior research in network measurement to respect user privacy, and we will compare those approaches to the evolving legal rules. We will also consider whether legislative reform is needed, describe steps that researchers might take when pursuing such work in light of the legal rules, and propose future technical and policy-related steps the community can take to focus more attention on user privacy.
Making sense of a forest of treesH

A common criticism of many methods for constructing tree models is that a single tree or nested sequence of trees is produced, and that much uncertainty about the tree structure is ignored. Recent search algorithms (bumping, boosting, simulated annealing, MCMC) address this problem by nding a much richer collection of trees. They lead to an embarrassment of riches, in that it may be diicult to make sense of the resultant forest. Quite often, the problem may not be as bad as it seems: although hundreds of distinct trees are identiied, many will diier only at a few nodes. Other trees may have diierent topologies, but produce similar partitions of the predictor space. By deening several distance met-rics on trees, we summarize a forest of trees by several archetypes and associated clusters.
A multi-channel maximum likelihood approach to de-reverberation

Reverberation can severely degrade the intelligibility of speech. Blind de-reverberation aims at restoring the original signal by attenuating the reverberation without prior knowledge of the surrounding acoustic environment nor of the source. In this paper, single-channel and multi-channel de-reverberation structures are compared and the advantages of the multi-channel approach are discussed. We propose an adaptive multi-channel blind de-reverberation algorithm based on a maximum likelihood approach that exploits results relating to the multiple input/output inverse theorem (MINT). The performance of the algorithm is illustrated using an eight-channel linear microphone array placed in a real room. Simulation results show that the algorithm can achieve very good de-reverberation when the channels are time aligned.
TaiWanese LOM ( TW LOM ) Annotation : Automatic Description Generation for Learning Objects

Owning to the great growth of e-learning objects, authorities (e.g. ADL and IEEE) have developed some metadata standards to facilitate the keyword search for various e-learning applications. However, too much fields, such as 58 blank fields in IEEE LOM, waiting for authors or annotators to fill up become an endless nightmare. In order to reach our vision of sharing and reusing valuable assets, the needs for an intelligent and automatic annotation system become more and more urgent. Among these 58 elements, it is the most difficult to extract the fittest solutions for Description, which calls for the advanced Chinese language processing technologies to generate the suitable value. We also adopted the Self-Organizing Map clustering method from Neural Networks, feature selection from Information Retrieval, and Latent Semantic Analysis from Linguistics to cope with the automatic annotation problem. In this paper, we proposed a novel approach called Clustering Descriptor, CD, to automatically generate the description metadata in TW LOM a Learning Object Metadata application profile in Taiwan. Then, we conducted two experiments to evaluate the annotation quality for Description data element in terms of three parameters: clustering, feature weight, and semantics. Because of the benefits from clustering and feature weight, Clustering Descriptor achieved improvement in precision rate: 6.30% (clustering) and 8.60% (clustering plus feature weight) compared with the baseline.
Generation from parallel texts in 20 European languages with endogenous resources

This paper deals with multilingual database generation from parallel corpora. The idea is to contribute to the enrichment of lexical databases for languages with few linguistic resources. Our approach is endogenous: it relies on the raw texts only, it does not require external linguistic resources such as stemmers or taggers. The system produces alignments for the 20 European languages of the ‘Acquis Communautaire’ Corpus.
Multivariate versus UnivariateDecision

In this paper we present a new multivariate decision tree algorithm LMDT, which combines linear machines with decision trees. LMDT constructs each test in a decision tree by training a linear machine and then eliminating irrelevant and noisy variables in a controlled manner. To examine LMDT's ability to nd good generalizations we present results for a variety of domains. We compare LMDT empirically to a univariate decision tree algorithm and observe that when multivariate tests are the appropriate bias for a given data set, LMDT nds small accurate trees.
Factors Affecting Adolescent Risk-Taking in Stepfather Families

Abstract Purpose High rates of union dissolution and repartnering among parents means that today’s youth are increasingly likely to spend some time living with a stepparent. Although family structure has been linked to adolescent well-being, most work has compared those in stepfamilies with those in intact families, so it is not clear which aspects of stepfamily life are more or less consequential for adolescent behaviors among those exposed to a co-residential stepfamily. Methodology/approach To examine stepfamilies more closely, we focus explicitly on youth who had ever lived with a stepfather using mother and child data from the National Longitudinal Survey of Youth 1979 (n = 1,754). We specifically explore how structure and stability, timing of exposure, and sibling configuration influence risk-taking, operationalized as sexual debut and drug use at age 16. Findings We find that timing and sibling composition seem to be unrelated to risk-taking, but stepfamily structure and stability are highly salient. Adolescents currently in a cohabiting stepfamily and those who have experienced the dissolution of a prior stepfamily are more likely to engage in sex (and sometimes use drugs) than their counterparts living with only their stepfather in a married-parent family. Originality/value The findings highlight the importance of stability, more so than structure, timing, or sibling configuration, in understanding adolescent risk-taking. The results provide further evidence that children in stepfamilies have unique vulnerabilities and opportunities for resilience, and should be evaluated independently from samples of children from intact families to avoid a deficit approach in modeling and theorizing.
Securing Access to Libraries and Modules : The SecModule Framework

Security policy enforcement and control over user programs traditionally operate by guarding the lowest level of the services provided by an operating system. While arguably secure and complete, these sandboxing engines have a room for improvement. In this work, we discuss the design, implementation, performance, and ease-of-use aspects of a framework known as SecModule. This framework allows arbitrary policy enforcements on the user’s ability to invoke protected functions held securely inside a module. In other words, SecModule allows the level of protection provided by a sandbox to the library level. SecModule gives the ability to place arbitrary policy level control over the rights to invoke arbitrarily complex functions held in libraries. An apt programming language analogy here is that existing sandboxes protect the primitive “assembly level” of possible operations provided by an Operating System. As software grows bigger and more complex, more useful evaluations and protection strategies are made possible by raising the protective shield to arbitrary compositions of such primitives, the same way that higher level programming languages allow programmers to be more productive in comparison to coding at the lowest level. The prototype framework described herein can be used to build, use, and distribute such protected libraries. Discussions pertaining to SecModule’s system security guarantees, performance issues, as well as ease-of-use factors follow.
The aims of higher education from gender perspective

We present the main results of the analysis of the discourses that professors and students (by sex) have elaborated upon a set of university degree courses at the Autonomous University of Barcelona (Catalonia, Spain). We analyze, from a gender perspective, what kind of care and provision relationships are referred in such discourses. We identified a shared understanding between professors and students, independently from sex and degree, which emphasizes the provision like main end of the subjects. The incorporation of the dimension of care at weekends appears as a secondary aspect.
Extracellular Vesicles in Hematological Disorders

Extracellular vesicles (EVs), comprised of exosomes, microparticles, apoptotic bodies, and other microvesicles, are shed from a variety of cells upon cell activation or apoptosis. EVs promote clot formation, mediate pro-inflammatory processes, transfer proteins and miRNA to cells, and induce cell signaling that regulates cell differentiation, proliferation, migration, invasion, and apoptosis. This paper will review the contribution of EVs in hematological disorders, including hemoglobinopathies (sickle cell disease, thalassemia), paroxysmal nocturnal hemoglobinuria, and hematological malignancies (lymphomas, myelomas, and acute and chronic leukemias).
Mobile Device-based Interaction Patterns in Augmented Toy Environments

We present the Augmented Knight’s Castle, a pervasive playset, which enriches the child’s pretend play by using background music, sound effects and verbal commentary of toys that react to the child’s play. Radio frequency identification (RFID) technology is used to automatically and unobtrusively identify toys in the playset. Mobile devices equipped with RFID readers are introduced into the playset to provoke further interaction and to enhance the play (e.g., through the integration of interactive learning experiences). We describe two approaches of mobile device integration (mobile phones and mobile devices embedded into toys) with a preliminary analysis of their advantages and disadvantages. One objective of our presented augmented playset is to conduct a user study whose results will help us and others to improve the integration of mobile devices into augmented toys and playsets.
The Impact of Hospital-Based Cardiac Rehabilitation on Signal Average ECG Parameters of the Heart After Myocardial Infarction

Background: Cardiac rehabilitation is a combination of integrated programs aimed at improving outcomes in patients recovering from heart events. Objectives: The present study aimed to evaluate the early benefits of supervised exercise training on electrophysiological function of post- ischemic myocardium. In this regard, signal-averaged electrocardiogram (SAECG) was used. Patients and Methods: Between May and September 2012, all patients (n = 100) admitted to our center, with the diagnosis of acute Myocardial Infarction (MI), were enrolled in this study. Every other patient was assigned to two groups receiving either inpatient cardiac rehabilitation plus standard post-MI care (cases) or only standard post-MI care (controls). Electrophysiological function was assessed by SAECG in all the patients at baseline and on the day 5. The patients were considered as having late potential if they had abnormalities in at least two SAECG indices. Results: Cardiac rehabilitation led to significant improvements in QRS duration (P < 0.001), square root of amplitude in the last 40 ms (P < 0.001) and duration of terminal signal with low amplitude (P < 0.001). Cardiac rehabilitation also resulted in amelioration of SAECG parameters; frequency of patients with late potential significantly decreased from 64% to 20% after five days (P < 0.001). Conclusions: Supervised in-hospital exercise training was associated with improvements in SAECG-measured electrical activity post-MI.
HLDPC Codes – Low Density , Low Complexity , Efficient Erasure Correcting Codes

—In this paper we introduce an erasure correcting code, which is designed to be used for providing error free data object transmissions over noisy wireless data casting systems, such as DVB-H. The code belongs to the class of low-density parity-check (LDPC) codes, and uses multiple parallel code structures, also called hyper codes. We also provide a straightforward algorithm for generating the parity-check matrix, which can generate instances of the code for different code sizes and coding capabilities, using only a few parameters. This gives us flexibility in designing the data transmission system. Using simulations and field measurements we show that the code performance is similar to that of the current state of the art codecs. The coding and decoding complexities are low, enabling software-based use in energy-constrained mobile devices.