Miracle-dz/UniFAR-FTUs huggingface dataset:
The Measurement of Maximal (Anaerobic) Power Output on a Cycle Ergometer: A Critical Review

The interests and limits of the different methods and protocols of maximal (anaerobic) power (P max) assessment are reviewed: single all-out tests versus force-velocity tests, isokinetic ergometers versus friction-loaded ergometers, measure of P max during the acceleration phase or at peak velocity. The effects of training, athletic practice, diet and pharmacological substances upon the production of maximal mechanical power are not discussed in this review mainly focused on the technical (ergometer, crank length, toe clips), methodological (protocols) and biological factors (muscle volume, muscle fiber type, age, gender, growth, temperature, chronobiology and fatigue) limiting P max in cycling. Although the validity of the Wingate test is questionable, a large part of the review is dedicated to this test which is currently the all-out cycling test the most often used. The biomechanical characteristics specific of maximal and high speed cycling, the bioenergetics of the all-out cycling exercises and the influence of biochemical factors (acidosis and alkalosis, phosphate ions…) are recalled at the beginning of the paper. The basic knowledge concerning the consequences of the force-velocity relationship upon power output, the biomechanics of sub-maximal cycling exercises and the study on the force-velocity relationship in cycling by Dickinson in 1928 are presented in Appendices.
Clonorchiasis and Cholangiocarcinoma: Etiologic Relationship and Imaging Diagnosis

SUMMARY Despite a gradual decrease in prevalence, clonorchiasis is still prevalent in East Asia. A large and compelling body of evidence links clonorchiasis and cholangiocarcinoma, although the mechanisms involved are not completely understood. Clonorchiasis induces biliary epithelial hyperplasia and metaplasia, and this could facilitate at least one stage of the carcinogenesis, which is promoting effect. In areas of endemic infection, more clonorchiasis cases are now diagnosed incidentally during radiological examinations such as cholangiography, ultrasonography, and computed tomography. Radiological findings are regarded as pathognomonic for clonorchiasis since they reflect the unique pathological changes of this disorder. These radiological examinations currently play important roles in the diagnosis, staging, and decision-making process involved in the treatment of cholangiocarcinoma. The morphological features and radiological findings of clonorchiasis-associated cholangiocarcinoma are essentially combinations of the findings for the two diseases. The morphological features of clonorchiasis- associated cholangiocarcinoma, observed in radiological examinations, do not differ from those of the usual cholangiocarcinoma. In patients diagnosed with or suspected to have clonorchiasis, radiological findings should be carefully scrutinized for occult cholangiocarcinoma.
Self-Regulation of Priming Effects on Behavior

In three experiments, we tested whether people can protect their ongoing goal pursuits from antagonistic priming effects by using if-then plans (i.e., implementation intentions). In Experiment 1, concept priming did not influence lexical decision time for a critical stimulus when participants had formed if-then plans to make fast responses to that stimulus. In Experiment 2, participants who were primed with a prosocial goal allowed a confederate who asked for help to interrupt their work on a focal task for a longer time if they had merely formed goal intentions to perform well than if they had also formed implementation intentions for concentrating on the task. In Experiment 3, priming the goal of being fast increased driving speed and errors for participants who had formed mere goal intentions to drive only as fast as safety allowed or who had formed no goal intentions, whereas the driving of participants who had formed such goal intentions as well as implementation intentions showed no such priming effects. Our findings indicate that implementation intentions are an effective self-regulatory tool for shielding actions from disruptive concept- or goal-priming effects.
Using context to enhance the understanding of face images

Faces are special objects of interest. Developing automated systems for detecting and recognizing faces is useful in a variety of application domains including providing aid to visually-impaired people and managing large-scale collections of images. Humans have a remarkable ability to detect and identify faces in an image, but related automated systems perform poorly in real-world scenarios, particularly on faces that are difficult to detect and recognize. Why are humans so good? There is general agreement in the cognitive science community that the human brain uses the context of the scene shown in an image to solve the difficult cases of detection and recognition. This dissertation focuses on emulating this approach by using different kinds of contextual information for improving the performance of various approaches for face detection and face recognition. For the face detection problem, we describe an algorithm that employs the easy-to-detect faces in an image to find the difficult-to-detect faces in the same image. For the face recognition problem, we present a joint probabilistic model for image-caption pairs. This model solves the difficult cases of face recognition in an image by using the context generated from the caption associated with the same image. Finally, we present an effective solution for classifying the scene shown in an image, which provides useful context for both of the face detection and recognition problems.
The Potential Role of the cABR in Assessment and Management of Hearing Impairment

Hearing aid technology has improved dramatically in the last decade, especially in the ability to adaptively respond to dynamic aspects of background noise. Despite these advancements, however, hearing aid users continue to report difficulty hearing in background noise and having trouble adjusting to amplified sound quality. These difficulties may arise in part from current approaches to hearing aid fittings, which largely focus on increased audibility and management of environmental noise. These approaches do not take into account the fact that sound is processed all along the auditory system from the cochlea to the auditory cortex. Older adults represent the largest group of hearing aid wearers; yet older adults are known to have deficits in temporal resolution in the central auditory system. Here we review evidence that supports the use of the auditory brainstem response to complex sounds (cABR) in the assessment of hearing-in-noise difficulties and auditory training efficacy in older adults.
Measurement based evaluation of low complexity receivers for D-TxAA HSDPA

In 2007, the 3GPP agreed to standardize D-TxAA (Dual Stream Transmit Antenna Array) as the MIMO extension for HSDPA (High Speed Downlink Packet Access). In this work, we examine receiver structures for D-TxAA. At a high SINR, D-TxAA operates in the dual stream mode, i.e. two independent data streams are transmitted to one user simultaneously. In this mode, our receiver uses equalization and optional interference cancelation. At a low SINR, D-TxAA operates in single stream mode, in which several users can be served simultaneously, and hence an interference aware equalizer is necessary to achieve high performance. Utilizing these receiver structures, we measure the average throughput of D-TxAA in outdoor-to-indoor scenarios in the inner city of Vienna.
Perceptual and Cognitive Skill Development in Soccer: The Multidimensional Nature of Expert Performance

This study examined the relative contribution of visual, perceptual, and cognitive skills to the development of expertise in soccer. Elite and sub-elite players, ranging in age from 9 to 17 years, were assessed using a multidimensional battery of tests. Four aspects of visual function were measured: static and dynamic visual acuity; stereoscopic depth sensitivity; and peripheral awareness. Perceptual and cognitive skills were assessed via the use of situational probabilities, as well as tests of anticipation and memory recall. Stepwise discriminant analyses revealed that the tests of visual function did not consistently discriminate between skill groups at any age. Tests of anticipatory performance and use of situational probabilities were the best in discriminating across skill groups. Memory recall of structured patterns of play was most predictive of age. As early as age 9, elite soccer players demonstrated superior perceptual and cognitive skills when compared to their sub-elite counterparts. Implications for training perceptual and cognitive skill in sport are discussed.
Quality assessment of comparative diagnostic accuracy studies: our experience using a modified version of the QUADAS‐2 tool

Assessing the quality of included studies is a vital step in undertaking a systematic review. The recently revised Quality Assessment of Diagnostic Accuracy Studies (QUADAS) tool (QUADAS‐2), which is the only validated quality assessment tool for diagnostic accuracy studies, does not include specific criteria for assessing comparative studies.
Structure Determination of a Criterion Function by Dynamic Inverse Optimization

In this paper, we propose a novel approach to dynamic inverse optimization by the learning of neural networks. A dynamic inverse optimization problem here means to estimate a criterion function under which given input and output sequences become optimal for a known state equation model. A neural network architecture representing the optimality condition including an algebraic Riccati equation is proposed for solving dynamic inverse optimization problems. Also proposed is the determination of the structure of a criterion function by the statistical test, i.e., which state variables are included in a criterion function based on data contaminated by additive noise. Applications of the proposed method to given input and output sequences contaminated by observation noise well demonstrate its e ectiveness.
Social information landscapes: Automated mapping of large multimodal, longitudinal social networks

Purpose – This article presents a Big Data solution as a methodological approach to the automated collection, cleaning, collation and mapping of multimodal, longitudinal datasets from social media. The article constructs Social Information Landscapes. Design/methodology/approach – The research presented here adopts a Big Data methodological approach for mapping user-generated contents in social media. The methodology and algorithms presented are generic, and can be applied to diverse types of social media or user-generated contents involving user interactions, such as within blogs, comments in product pages and other forms of media, so long as a formal data structure proposed here can be constructed. Findings – The limited presentation of the sequential nature of content listings within social media and Web 2.0 pages, as viewed on Web browsers or on mobile devices, do not necessarily reveal nor make obvious an unknown nature of the medium; that every participant, from content producers, to consumers, to followers and subscribers, including the contents they produce or subscribed to, are intrinsically connected in a hidden but massive network. Such networks when mapped, could be quantitatively analysed using social network analysis (e.g., centralities), and the semantics and sentiments could equally reveal valuable information with appropriate analytics. Yet that which is difficult is the traditional approach of collecting, cleaning, collating and mapping such datasets into a sufficiently large sample of data that could yield important insights into the community structure and the directional, and polarity of interaction on diverse topics. This research solves this particular strand of problem. Research limitations/implications – The automated mapping of extremely large networks involving hundreds of thousands to millions of nodes, over a long period of time could possibly assist in the proving or even disproving of theories. The goal of this article is to demonstrate the feasibility of using automated approaches for acquiring massive, connected datasets for academic inquiry in the social sciences. Practical implications – The methods presented in this article, and the Big Data architecture presented here have great practical values to individuals and institutions which have low budgets. The software-hardward integrated architecture uses open source software, and the social information landscapes mapping algorithms are not difficult to implement. Originality/value – The majority of research in the literatures uses traditional approach for collecting social networks data. The traditional approach is slow, tedious and does not yield a large enough sample for the data to be significant for analysis. Whilst traditional approach collects only a small percentage of data, the original methods presented could possibility collect entire datasets in social media due to its scalability and automated mapping techniques.
In Defense of Globalization: With a New Afterword

In the passionate debate that currently rages over globalization, critics have been heard blaming it for a host of ills afflicting poorer nations, everything from child labor to environmental degradation and cultural homogenization. Now Jagdish Bhagwati, the internationally renowned economist, takes on the critics, revealing that globalization, when properly governed, is in fact the most powerful force for social good in the world today. Drawing on his unparalleled knowledge of international and development economics, Bhagwati explains why the "gotcha" examples of the critics are often not as compelling as they seem. With the wit and wisdom for which he is renowned, Bhagwati convincingly shows that globalization is part of the solution, not part of the problem. This edition features a new afterword by the author, in which he counters recent writings by prominent journalist Thomas Friedman and the Nobel Laureate economist Paul Samuelson and argues that current anxieties about the economic implications of globalization are just as unfounded as were the concerns about its social effects.
Send Orders of Reprints at Reprints@benthamscience.net Application of Maldi-tof Ms for the Identification of Food Borne Bacteria

Matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) has recently emerged as a powerful tool for the routine identification of clinical isolates. MALDI-TOF MS based identification of bacteria has been shown to be more rapid, accurate and cost-efficient than conventional phenotypic techniques or molecular methods. Rapid and reliable identification of food-associated bacteria is also of crucial importance for food processing and product quality. This review is concerned with the applicability of MALDI-TOF MS for routine identification of foodborne bacteria taking the specific requirements of food microbiological laboratories and the food industry into account. The current state of knowledge including recent findings and new approaches are discussed. INTRODUCTION In recent years Matrix-assisted laser desorption ioniza-tion-time of flight mass spectrometry (MALDI-TOF MS) has revolutionized routine identification of bacteria. Rapid and reliable identification of food-associated bacteria is of crucial importance for product quality. The challenges for food analytical laboratories are as varied and numerous as are the requirements for bacterial identification methods. Food spoilage bacteria, food-borne pathogens, starter cultures , and probiotics must be among other requirements, accurately identified. Only in this way can fermentation failures be prevented and routes of contamination be uncovered in order to prevent recontamination and to improve the hygiene of production plants. The requirements for identification methods concerning taxonomic resolution and sensitivity differ considerably depending on the task. Whereas it is generally sufficient to identify food spoilage bacteria to the species level, the complex technological features of starter cultures are strain specific. According to statutory provisions and the type of food analysed, highly sensitive detection methods are required for the detection of hygienic indicator bacteria, while the assignment to a certain group like coli-forms or enterococci may be sufficient in other cases.
Congenital toxoplasmosis: Clinical features, outcomes, treatment, and prevention

Toxoplasmosis is caused by a coccidian parasite, Toxoplasma gondii. The parasite is highly prevalent both in humans and in warm-blooded animals. Cat family animals are definitive host, and these animals excrete the infective oocysts in their feces. Humans, though not definitive host, get infection by consuming water or food contaminated with cat feces. Rarely, infection can also take place through transfusing the infected blood, through transplantation of infected organs, or transplacentally from infected mother to fetus. Transplacental infection can cause congenital infection with varied degree of clinical manifestations, which depend on the age of fetus when infection took place. Diagnosis of congenital toxoplasmosis is difficult to establish until it is suspected and laboratory investigations are carried out. In more than 75% of cases, acute infection is missed due to very mild or unnoticeable clinical symptoms and signs. In India, a prevalence rate of 22.4% (8.8-37.3%) has been reported with an overall IgM positivity of 1.43%. It is estimated that approximately between 56,737 and 176,882 children per year are born in India with a possible risk of congenital toxoplasmosis. The diagnosis of congenital toxoplasmosis can be made by serological methods which are most commonly used. The other methods are parasite isolation by culture and molecular methods. Toxoplasmosis is treatable and transplacental transmission can be prevented by spiramycin, which concentrates in the placenta. However, if infection has done any damage to the fetus or the parasite has passed the placenta, spiramycin cannot reverse the damage. Prevention remains the best remedy.
Graph Decomposition is NP-Complete: A Complete Proof of Holyer's Conjecture

An H-decomposition of a graph G=(V,E) is a partition of E into subgraphs isomorphic to H. Given a fixed graph H, the H-decomposition problem is to determine whether an input graph G admits an H-decomposition. In 1980, Holyer conjectured that H-decomposition is NP-complete whenever H is connected and has three edges or more. Some partial results have been obtained since then. A complete proof of Holyer's conjecture is the content of this paper. The characterization problem of all graphs H for which H-decomposition is NP-complete is hence reduced to graphs where every connected component contains at most two edges.
Modelling prominence and emphasis improves unit-selection synthesis

We describe the results of large scale perception experiments showing improvements in synthesising two distinct kinds of prominence: standard pitch-accent and strong emphatic accents. Previously prominence assignment has been mainly evaluated by computing accuracy on a prominence-labelled test set. By contrast we integrated an automatic pitch-accent classifie r into the unit selection target cost and showed that listeners preferred these synthesised sentences. We also describe an improved recording script for collecting emphatic accents, and show that generating emphatic accents leads to further improvements in the fict ion genre over incorporating pitch accent only. Finally, we show diffe rences in the effe cts of prominence between childdirected speech and news and fict ion genres.
Anatomical dissection: Why are we cutting it out? Dissection in undergraduate teaching

Anatomy teaching and, more specifically, the use of dissection in undergraduate anatomy teaching is undergoing a sea change in Australian medical schools. Until as recently as the 1970s, all medical students in Australia underwent an extensive course in dissection, taking up as much as 700 hours of curriculum time. Today, dissection is compulsory in only a minority of anatomy departments. There has been much discussion about the use of dissection in anatomy teaching, and both sides of the argument have considerable merit. Less widely discussed have been the other benefits of anatomical dissection, such as the development of surgical skills, an appreciation of whole‐body pathology, and the teaching of ethical and moral issues that are central to the development of the professional doctor. Dissection still has an important role to play in undergraduate medical education.
An Examination of Relationships Between Exposure to Sexually Explicit Media Content and Risk Behaviors: A Case Study of College Students

Srinivas R. Melkote, Advisor In spite of its prevalence in the contemporary media landscape, the effects of exposure to sexually explicit materials have received relatively little attention from media and communication scholars. From a Social Cognitive Theory (SCT) perspective, the present study investigated whether the consumption of sexually explicit materials predicts the adoption of risk behaviors, particularly sexand body image-related risk behaviors. In addition, the study focused on the psychological mechanisms represented by the Sexual Self-Concept (SSC) that could facilitate the adoption of said risk behaviors. In order to address these issues, quantitative data was collected using a self-administered online survey design. Also, in response to mounting criticism according to which quantitative research methods could offer only truncated snapshots of individuals' interactions with sexually explicit materials, a second, qualitative data set was collected using a self-administered diary design. The analysis of the quantitative data revealed that consumption of sexually explicit media content significantly predicts SSC scores. In turn, SSC was found to be a significant predictor of the adoption of sex-related risk behaviors (sex risk partners and sex risk practices). SSC was found to not be a significant predictor of body image health-related risk behaviors. A path model revealed that the SSC moderates the adoption of risk behaviors, thus supporting the theoreticallydriven hypothesis that the SSC functions as a psychological mechanism that could facilitate the adoption of risk behaviors. Also, the path model revealed that age and gender significantly predict the adoption of risk behaviors.
Evaluating a community-based participatory research project for elderly mental healthcare in rural America

The purpose of this evaluation was to explore the collaborative nature of partners in a rural mental health program for the elderly, and to test an adapted method of assessing the collaborative process. Sixteen collaborative partners were interviewed to explore ratings of collaboration across 6 domains identified as critical to participatory research. Results indicate that the context of rural Missouri and uniqueness of the program necessitated an approach to collaboration that began with a top-down approach, but greater community responsibility developed over time. Partners recognized the efforts of the program’s directors to seek input. Most were satisfied with their roles and the degree of success achieved by the program, although several wanted to have more input in the future in some domains, but not in others. Interviews revealed numerous barriers to achieving sustainability. Methods to improve the assessment of collaboration are discussed and areas for improvement are offered.