Miracle-dz/UniFAR-FTUs huggingface dataset:
Theoretical Diversity and the Study of Sport Organizations

Since the latter part of the 1960s when systems theory and contingency models dominated the study of organizations, the field has become much more pluralistic in terms of its central research problems and the theoretical frameworks through which these problems are addressed. This plurality of perspectives emerged as a result of two fundamental weaknesses in existing approaches. The first of these was raised in Silverman’s (1970) critique of systems theory. His &dquo;action frame of reference&dquo; gave primacy to the role of actors and agency in the production and reproduction of organizations. Drawing from the work of Weber, Schutz, and Berger, Silverman (1970) argued that systems theory reified organizations and failed to take account of the actions and motivations of organizational members pursuing their own self interests. Organizations he suggested should not be viewed as environmentally determined constructions but rather as the product of powerful agents who interpreted environmental pressures in such a way as to either strengthen or undermine existing structures and processes. Silverman’s early work led to a more critical understanding of the role of agency and choice in the construction of organizations and organizational life. Elements of his thinking have helped the development of many of the current approaches to the study of organizations. These include social action theory (Schreyogg 1980); political theories of organization (Pettigrew 1973; Pfeffer 1981) and biographical views of organization (Kimberly 1987).
Are robots like people?: Relationships between participant and robot personality traits in human–robot interaction studies

Identifying links between human personality and attributed robot personality is a relatively new area of human–robot interaction. In this paper we report on an exploratory study that investigates human and robot personality traits as part of a human–robot interaction trial. The trials took place in a simulated living-room scenario involving 28 participants and a human-sized robot of mechanical appearance. Participants interacted with the robot in two task scenarios relevant to a ‘robot in the home’ context. It was found that participants’ evaluations of their own personality traits are related to their evaluations of the robot’s personality traits. The statistical analysis of questionnaire data yields several statistically significant results: (a) Participants do not tend to assign their personality traits to match the robots’, (b) For individual personality traits, participants rated themselves as having stronger personality characteristics compared to the robot, (c) Specific significant correlations were found between participants’ and robot personality traits, and (d) Significant group differences for participant gender, age and technological background are highlighted. The results are discussed in light of developing personalized robot companions.
DEVELOPMENT AND PATHOLOGY OF ECHINOSTOMA CAPRONI IN EXPERIMENTALLY INFECTED MICE

In the present article, several parasitological features of mice, each experimentally infected with 75 metacercariae of Echinostoma caproni (Trematoda: Echinostomatidae), were studied during the first 12 wk postinfection. Moreover, the early pathological responses also were analyzed and compared with data previously published on other host species of E. caproni to gain further insight into the factors determining worm rejection or establishment of chronic infections. The results obtained show that the pattern of E. caproni infection in mice is consistent with a highly compatible host–parasite system. This combination is characterized by a high worm establishment, high egg output, and long survival of the worms. However, some differences with respect to other highly compatible hosts have been observed, particularly in relation to the survival of the adult worms. Histological studies suggest that the kinetics of goblet cells, mucosal neutrophils, and mononuclear inflammatory cells in the mesentery seem to be essential in determining the course of E. caproni infection in mice.
Introduction The proliferation and societal dependence on computer technology and the Internet over the last three decades has dramatically increased the risks

A substantive body of research has emerged exploring the social dynamics and subculture of computer hacking. Few, however, have considered the structure of social networks in the hacker community due in part to the lack of visible information about active hackers or malware writers. Our research focuses on the rarely studied subject of underground networks of computer hackers. Thus, this study explores the social networks of a group of Russian hackers using publicly accessible data to understand the nature of social relationships and the ways that they affect information sharing and action. The findings demonstrate that there are a limited number of highly skilled hackers relative to those with some knowledge of computers. Additionally, those hackers with substantive technical skills are centrally located within friendship networks and are the focus of greater attention overall. The impact of these findings for our understanding of computer hacking, and peer networks generally are considered in detail.
Learning Pullback Metrics for Linear Models

In this paper we present an unsupervised differential-geometric approach for learning Riemannian metrics for dynamical models. Given a training set of models the optimal metric is selected among a family of pullback metrics induced by the Fisher information tensor through a parameterized diffeomorphism. The problem of classifying motions, encoded as dynamical models of a certain class, can then be posed on the learnt manifold. Experimental results concerning action and identity recognition based on simple scalar features are shown, proving how learning a metric actually improves classification rates when compared with Fisher geodesic distance and other classical distance functions.
Fast algorithm for point-sampled model denoising

Denoising is an essential step in creating perfect point-sampled models. The image mean-shift filtering has been extended to 3D surface smoothing by taking the vertex normal and curvature as range component and the vertex position as the spatial component, which is not efficient. For the reason, this paper proposes to use quasi-Cauchy kernel to replace the Gauss kernel used in the Guofei. Hu'algorithm. Experiments show that our method can smooth the noise efficiently and preserve the sharp features of the surface effectively.
Improved Text Categorisation for Wikipedia Named Entities

The accuracy of named entity recognition systems relies heavily upon the volume and quality of available training data. Improving the process of automatically producing such training data is an important task, as manual acquisition is both time consuming and expensive. We explore the use of a variety of machine learning algorithms for categorising Wikipedia articles, an initial step in producing the named entity training data. We were able to achieve a categorisation accuracy of 95% F -score over six coarse categories, an improvement of up to 5% F -score over previous methods.
Discovering Credible Twitter Users in Stock Market Domain

Despite extensive research efforts in stock market predictions using social media networks, there still exists a lack of credible sources of information in such media. This study presents a novel approach to measure the credibility of Twitter users in a domain of interest, namely the stock market. This study suggests a correlation between each user's credibility and the extracted features from each follower network: number of followers, number of stock market-related followers, extracted by a $Cashtag-based approach, ratio of stock market-related followers to the total number of followers, and the number of seed user tweets. The results support the initial hypothesis of this study.
Reachability Queries in Public Transport Networks

Given a query point in a spatial network, the reachability query retrieves all points of interest that are reachable from the query point in a speciﬁc amount of time respecting network constraints. Reachability queries have a number of interesting applications, and for road networks eﬃcient solutions have been proposed. Road networks are time-independent, i.e., the cost for traversing an edge is constant over time. Eﬃcient algorithms for road networks heavily rely on pre-computing shortest paths. In public transport networks, however, the edge costs depend on schedules, which renders most solutions for road networks ineﬃcient. In particular, shortest paths between node pairs cannot be easily precomputed because they change over time. The goal of this work is to develop eﬃcient solutions for reachability queries in public transport networks. The core idea is to partition the network into cells and compute time upper and lower bounds to traverse a cell. At query time, the reachable region is expanded cell by cell (instead of expanding edge by edge). All points of interest that are reachable using upper bound expansion are part of the result; all points that are not reachable in a lower bound expansion can safely be discarded; all other nodes are candidates and must be veriﬁed. This paper presents the expansion algorithm and and discusses interesting research directions regarding good network partitions, eﬀective bounds, and eﬃcient candidate veriﬁcation.
How Good Was the Profitability of British Railways, 1870–1912?

This article provides new estimates of the return on capital employed (ROCE) for major British railway companies. It shows that ROCE was generally below the cost of capital after the mid-1870s and fell until the turn of the century. Addressing cost inefficiency issues could have restored ROCE to an adequate level in the late 1890s but not in 1910. Declines in ROCE hit share prices and investors made little or no money in real terms after 1897. Optimal portfolio analysis shows that, while railway securities were attractive to investors before this date, they would have been justified in rushing to the exits thereafter.
Influences on relationship-based health visiting, part 2: Discovering the need for balance through a new epistemology

In the second part of a two-part article, the personal, professional and organisational influences on relationship-based practice clarified in part 1 are explored further, with the author reflecting on experiences and discussions with parents, colleagues and researchers. Using living theory methodology, in part 2 the author begins exploring influences of practitioner personality, fears, anxiety, autonomy, training, evidence building and organisational climate. Balance emerges as an additional value in the author's ‘alongside’ practice for managing these tensions. She calls for a wider shift towards the same qualities of relationships expected in families to be practised across organisations with children's wellbeing in mind. Further, she concludes by calling for a new epistemology of practice that is capable of integrating the practising, training and researching of health visiting by embracing contradictory experiences occurring in living relationships.
Palatoplasty as the Technique of Choice for Prevention of Obstructive Sleep Apnea Secondary to Surgery for Velopharyngeal Insufficiency

Objective The aim of this study is to compare patients treated with pharyngoplasty and those treated with palatoplasty for velopharyngeal insufficiency to establish what surgical procedure poses the highest risk for developing sleep apnea. The hypothesis tested in this study is that the incidence of obstructive sleep apnea syndrome associated with pharyngoplasty is greater than that associated with palatoplasty for velopharyngeal insufficiency. Subjects Twenty patients were taken from the Institution FISULAB. Design Observational cohort analytic study. Main Outcome Measures An overnight polysomnographic study was used to determine the incidence and severity of obstructive sleep apnea syndrome. Results The incidence of obstructive sleep apnea syndrome following pharyngoplasty was shown to be significantly higher than after palatoplasty. The apnea-hypopnea index, also called the respiratory disturbance index, was 12.7 in the pharyngoplasty group and 1.35 in the palatoplasty group (p < .001). When obstructive sleep apnea syndrome was stratified into different levels of severity according to the values of respiratory disturbance index, there were noticeable differences between these two groups. In the palatoplasty group, one patient had mild obstructive sleep apnea syndrome. In the pharyngoplasty group, two patients had mild obstructive sleep apnea syndrome, one patient had moderate obstructive sleep apnea syndrome, and two patients had severe obstructive sleep apnea syndrome. Conclusions When comparing the apnea-hypopnea index (i.e., respiratory disturbance index) of patients treated for velopharyngeal insufficiency with palatoplasty versus pharyngoplasty, we observed an important difference between the groups, with the highest indices in the pharyngoplasty group.
Speaker adaptation OF RNN-BLSTM for speech recognition based on speaker code

Recently, recurrent neural network with bidirectional Long Short-Term Memory (RNN-BLSTM) acoustic model has been shown to give great performance on the TIMIT [1] and other speech recognition tasks. Meanwhile, the speaker code based adaptation method has been demonstrated as a valid adaptation method for Deep Neural Network (DNN) acoustic model [2]. However, whether the speaker code based adaptation method is also valid for RNN-BLSTM has not been reported to the best our knowledge. In this paper, we study how to conduct effective speaker code based speaker adaptation on RNN-BLSTM and demonstrate that the speaker code based adaptation method is also a valid adaptation method for RNN-BLSTM. Experimental results on TIMIT have shown that the adaptation of RNN-LSTM can achieve over 10% relative reduction in phone error rate (PER) compared to without adaptation. Then, a set of comparative experiments are implemented to analyze the different contribution of the adaptation on cell input and each gate activation function of the BLSTM. It's found that the adaptation on cell input activation function is more effective than the adaptation on each gate activation function.
Anthropometric Characteristics and Physical Performance of Colombian Elite Male Wrestlers

Background: Wrestling was an important part of the ancient Olympic Games and is still one of the most popular events of the modern Olympic Games. Studies indicate that general physiologic profile of successful wrestlers is high anaerobic power and capacity, muscular strength, above average aerobic power, exceptional flexibility, fat free mass, and a mesomorphic somatotype. Objectives: The objective of the present study was to evaluate anthropometric characteristics and physical performance of elite male wrestlers. Patients and Methods: The Colombian Wrestling Team was evaluated while in preparation for the Olympic Games (n = 21; age, 27.9 ± 6.7 years). Athletes were tested on anthropometric and fitness parameters: body composition, somatotype distribution according to Heath-Carter, aerobic capacity, vertical jump, and anaerobic power. Results: The evaluations showed a mean body fat percentage of 13.6% ± 3.0% (95% CI, 12.2%-15%), muscle mass of 46.4% ± 2.2% (95% CI, 45.4%-47.4%), Ponderal index of 41.0 ± 1.8 (95% CI, 40.2-41.8), body adiposity index (BAI) 25.1 ± 3.6 (95% CI, 23.5-26.8), and somatotype distribution mesomorphic-ectomorph (5.3-1.6-3.8). Mean aerobic capacity was 45.9 ± 6.6 mL/kg/min (95% CI, 42.8-48.9), vertical jump was 36.4 ± 6.6 cm (95% CI, 11.8-16.6), and anaerobic power was 92.6 ± 19.5 kg/s (95% CI, 83.7-101.5). Conclusions: These results provided a profile of elite wrestlers that could be used as training targets for developing athletes. The results may also provide information for training and tactical planning.
Light field mapping: efficient representation of surface light fields

Recent developments in image-based modeling and rendering provide significant advantages over traditional image synthesis processes, including improved realism, simple representation and automatic content creation. Representations such as Plenoptic Modeling, Light Field, and the Lumigraph are well suited for storing view-dependent radiance information for static scenes and objects. Unfortunately, these representations have much higher storage requirement than traditional approaches, and the acquisition process demands very dense sampling of radiance data. With the assist of geometric information, the sampling density of image-based representations can be greatly reduced, and the radiance data can potentially be represented more compactly. One such parameterization, called Surface Light Field, offers natural and intuitive description of the complex radiance data. However, issues including encoding and rendering efficiency present significant challenges to its practical application. We present a method for efficient representation and interactive visualization of surface light fields. We propose to partition the radiance data over elementary surface primitives and to approximate each partitioned data by a small set of lower-dimensional discrete functions. By utilizing graphics hardware features, the proposed rendering algorithm decodes directly from this compact representation at interactive frame rates on a personal computer. Since the approximations are represented as texture maps, we refer to the proposed method as Light Field Mapping. The approximations can be further compressed using standard image compression techniques leading to extremely compact data sets that are up to four orders of magnitude smaller than the uncompressed light field data. We demonstrate the proposed representation through a variety of non-trivial physical and synthetic scenes and objects scanned through acquisition systems designed for capturing both small and large-scale scenes. Light Field Mapping: Efficient Representation of Surface Light Fields 91
How users manipulate deformable displays as input devices

This study is aimed at understanding deformation-based user gestures by observing users interacting with artificial deformable displays with various levels of flexibility. We gained user-defined gestures that would help with the design and implementation of deformation-based interface, without considering current technical limitations. We found that when a display material gave more freedom from deformation, the level of consensus of gestures among the users as well as the intuitiveness and preferences were all enhanced. This study offers implications for deformation-based interaction which will be helpful for both designers and engineers who are trying to set the direction for future interface and technology development.
Teaching under the influence: feeding Games for Understanding into the Sport Education development-refinement cycle

In this contribution to the special issue on Teaching Games for Understanding (TGfU), we outline how the Sport Education curriculum model constitutes an organisational framework within which a TGfU pedagogy might productively be located and utilised. In addition, we describe our application of the development-refinement process to the progress of Sport Education in an outcomes-based educational environment. This has led to a new relationship between Sport Education and TGfU within what we call the ‘Clinic-Game Day’ (CGD) model. Included are two tables depicting typical Clinic and Game-Day instructional formats. We conclude by foregrounding a number of workplace factors that may affect the adoption of the CGD.
Sensitivity of the anthropometrical and geometrical parameters of the bones and muscles on a musculoskeletal model of the lower limbs

Modelling is necessary to understand and evaluate the musculoskeletal system of the human body. Most of the developed models used anthropometrical and geometrical parameters of the bones and muscles from the literature. The aim of the present work was to study the sensitivity of anthropometrical (segment mass) and geometrical (physiologic cross-sectional area of the muscle) parameters on musculoskeletal model of the lower limbs for simulation of the gait. An inverse dynamic analysis was performed to activate the joints and muscles. Then a direct dynamic analysis was carried out with active joints and muscles. The influences of these parameters on the kinematics and kinetics simulation results were reported. The obtained results show an influence of these parameters on the simulation results (maximal relative error varying from 2 to 75 %). These results suggest subject specific parameters to be considered.
Throughput analysis by simulation considering route forms in multi-hop networks with node-skipping

In wireless ad-hoc networks, multi-hop networks which relay packets over several relay nodes are employed. It enables us to telecommunicate and construct quick and easy networking without cabling. However, the throughput deteriorates with an increase of the relay nodes, because delay occurs at each relay node. To relieve this problem, a multi-hop network with node-skipping was proposed. In the practical environment, radio waves fluctuate by fading. The node-skipping method uses this fluctuation. When the link has a temporarily improved SNR, not only the adjacent node but also the node following the adjacent node can receive packets. It enables us to improve the packet success rate and the throughput. In multi-hop networks, the route is constructed by a routing protocol. The distribution and number of nodes are different in each situation. Even if the area where the relay nodes distributed is the same, the multi-hop route is determined stochastically. If the constructed route is not linear, the possibility that node-skipping occurs increases. To analyze practically, we investigate characteristic of constructed routes in multi-hop networks by simulation. By using the characteristic, we analyze the throughput considering the route forms. We confirm that the node-skipping method improves the throughput considering the route forms. As a result, the throughput with node-skipping is 1.7 times as high as that without node-skipping. From this analysis, we show that the node-skipping method is a valid method in practical environment.
Validity of Field Tests for Evaluating Endurance Capacity in Competitive and International‐Level Sports Participants

We evaluated the validity of the 20-m shuttle test (MST) and the 12-minute and 3,000-m run tests as predictors of aerobic capacity in 15 competitive sports participants (CSP). An additional seven international-level rugby players (IRP) were used to evaluate the 20-MST in elite athletes. Maximal oxygen uptake (Vo2max) was determined from indirect calorimetry using an incremental protocol. The 20-MST, 12-minute run, and 3,000-m runs were assessed from laps, distance covered, and finishing times, respectively. Validity coefficients between the 12-minute (r = 0.67) and the 3,000-m runs (r = −0.67) were significantly related (p < 0.05) to Vo2max. Correlations between the 20-MST and Vo2max test for both CSP (r = 0.41) and IRP (r = 0.42) were not significant, but when both groups were combined, a significant correlation was found (r = 0.61). Maximal ratings of perceived exertion were significantly lower for the 20-MST compared to the Vo2max test (16.3 ± 0.6 vs. 18.8 ± 0.3 units, respectively). Lower blood lactate levels were observed at 2 minutes (10.5 ± 0.9 vs. 12.2 ± 0.9 mmol/L, p < 0.05) and 5 minutes (8.9 ± 1.0 vs. 11.9 ± 1.0 mmol/L, p < 0.05) after the 20-MST compared to the Vo2max test. Plasma creatine kinase levels measured 12 hours after each test were not significantly different. We conclude that aerobic capacity can be accurately predicted from either a 12-minute run or 3,000-m run in young competitive sports participants. In contrast, the 20-MST only predicted Vo2max when the data for the competitive sports participants and the international-level rugby players were combined and a greater range of Vo2 and 20-MST scores were included in the analysis.