Miracle-dz/UniFAR-FTUs huggingface dataset:
On and Off the Field

Abstract The involvement of high school students in interscholastic sports has been linked to many positive outcomes, including grades, school attendance, persistence to graduation, positive self concept, and emotional well-being (Lopez & Moore, 2006; Donaldson & Ronan, 2006). Playing sports is also associated with several social values, such as loyalty, dedication, sacrifice, and responsibility (Lumpkin, 2002). However, with more pressure to specialize in a sport at an earlier age, and with year-round access to private coaching and pre-college scouting, the pressures on high school athletes—particularly those with high ability—may be mounting, leaving them vulnerable. The relationship between that student athlete and the high school coach is therefore essential to the student's success. This study examines that relationship and other aspects of coaching high-ability athletes.Using a qualitative method, we identified, in a purposive sample drawn from a Midwestern state and using snowball sampling techniques, male and female coaches who exemplified the most highly successful coaches in high school sports. We completed extensive, in-depth interviews with eleven coaches—a sample that was diverse based on the type of sport coached, size of school, and balance of male/female sport and coaches.The data clustered in six thematic categories, including the components of effective coaching, pressures on athletes, the gifted vs. the spoiled athlete, gender differences in sport, how coaching has changed, and the role of parents in the lives of high school athletes. Implications for those involved in athletics, especially sports educators, are discussed.
A web-based platform for scavenger hunt games using the Internet of Things

The concept of an “Internet of Things” (IoT) initially referred to a network where objects would be individually and instantly identified with Radio-Frequency Identification (RFID). Such concept was later evolved to a wider notion of heterogeneous objects using ubiquitous technologies to interact among them and with the physical environment. Among these technologies, Bluetooth, ZigBee, GPRS, NFC, QR code, can be cited some of those that were labeled as IoT technologies. Based on the possibility of linking ordinary objects from the physical world to the Internet, this paper proposes and details a platform called TagHunt, for creating and playing scavenger hunt games. It allows smartphones to interact with ordinary objects using IoT-based technologies such as NFC and QR Code, stimulating the user/player to interact with the surrounding environment looking for “clues” in the game. We performed an experiment involving four different scavenger hunt game scenarios created with the platform were we could evaluate user/player engagement when playing such games.
Language and Translation Model Adaptation using Comparable Corpora

Traditionally, statistical machine translation systems have relied on parallel bi-lingual data to train a translation model. While bi-lingual parallel data are expensive to generate, monolingual data are relatively common. Yet monolingual data have been under-utilized, having been used primarily for training a language model in the target language. This paper describes a novel method for utilizing monolingual target data to improve the performance of a statistical machine translation system on news stories. The method exploits the existence of comparable text---multiple texts in the target language that discuss the same or similar stories as found in the source language document. For every source document that is to be translated, a large monolingual data set in the target language is searched for documents that might be comparable to the source documents. These documents are then used to adapt the MT system to increase the probability of generating texts that resemble the comparable document. Experimental results obtained by adapting both the language and translation models show substantial gains over the baseline system.
Hybrid Communication Network for the Smart Grid: Validation of a Field Test Experience

The business of distribution system operators is rapidly evolving as the distribution grid is hosting more distributed energy resources. Technology for monitoring, control, and protecting the grid is progressively pervading the lower segment of the network. These changes require a performing communication infrastructure to enable data exchange among the control centers of the grid. The 7th Framework Program European Project INTEGRIS proposes a hybrid infrastructure-based on broadband power line (BPL), Wi-Fi, and fiber optics (FO)-to enable services for grid management. This mix of technologies provides a balanced tradeoff between investments and benefits, meeting most of the requirements of the smart grid. This paper investigates the technologies that could be adopted and describes the experimental assessment performed in an operational environment in Italy. Using this installation, transfer time, time synchronization accuracy, dependability, and throughput are evaluated and analyzed over a long-term campaign. Results show that the FO is the best communication media, able to provide a two-way latency of 3 ms (95 percentile), whereas BPL has a two-way latency of 57 ms (95 percentile -4 hops). Those results confirm that a careful selection of the technologies is required to satisfy requirements of smart grid.
Gay men's experiences of therapy

Fourteen gay men were interviewed using a structured interview schedule to explore their experiences of being in therapy. Particular importance was given to their perceptions of how their sexual orientation impinged on the counselling process and how their assumptions about counsellor sexual orientation affected the therapeutic relationship. The limitations of using structured interviews in qualitative research are acknowledged. Some significant findings were made, which were not well documented in the literature, such as the impact on the therapeutic relationship of internalised homophobia within gay men themselves. These findings hold the potential to inform counselling practice with gay male clients. Recommendations are made in relation to both practice and further research.
Enhancing the Effects of Modeling through Role-Play Practice.

The effects of yoking role-play practice to modeling treatments designed to teach the rudimentary counseling skill of reflection of feeling were investigated. Twenty-eight novice counselors-in-training were randomly assigned to one of the four treatment conditions: written model, videotape model, written model plus role-play practice, and videotape model plus role-play practice. Effectiveness was measured by ratings of students' oral responses to 16 videotaped client vignettes. The multivariate analyses revealed that although there were no significant differences between the two modeling conditions without role-play practice, there were significant differences between students who received an opportunity to role-play practice and those who did not. From the results of the analyses, it was concluded that role-play practice significantly enhanced the effectiveness of the written model but not the video model. These results are discussed in terms of counselor skills training.
Association of type and location of BRCA1 and BRCA2 mutations with risk of breast and ovarian cancer.

IMPORTANCE— Limited information about the relationship between specific mutations in BRCA1 or BRCA2 ( BRCA1/2 ) and cancer risk exists. OBJECTIVE— To identify mutation-specific cancer risks for carriers of BRCA1/2 . DESIGN, SETTING, AND PARTICIPANTS— Observational study of women who were ascertained between 1937 and 2011 (median, 1999) and found to carry disease-associated BRCA1 or BRCA2 mutations. The international sample comprised 19 581 carriers of BRCA1 mutations and 11 900 carriers of BRCA2 mutations from 55 centers in 33 countries on 6 continents. We estimated hazard ratios for breast and ovarian cancer based on mutation type, function, and nucleotide position. We also estimated RHR, the ratio of breast vs ovarian cancer hazard ratios. A value of RHR greater than 1 indicated elevated breast cancer risk; a value of RHR less than 1 indicated elevated ovarian
Revisiting Street Intersections Using Slot-Based Systems

Since their appearance at the end of the 19th century, traffic lights have been the primary mode of granting access to road intersections. Today, this centuries-old technology is challenged by advances in intelligent transportation, which are opening the way to new solutions built upon slot-based systems similar to those commonly used in aerial traffic: what we call Slot-based Intersections (SIs). Despite simulation-based evidence of the potential benefits of SIs, a comprehensive, analytical framework to compare their relative performance with traffic lights is still lacking. Here, we develop such a framework. We approach the problem in a novel way, by generalizing classical queuing theory. Having defined safety conditions, we characterize capacity and delay of SIs. In the 2-road crossing configuration, we provide a capacity-optimal SI management system. For arbitrary intersection configurations, near-optimal solutions are developed. Results theoretically show that transitioning from a traffic light system to SI has the potential of doubling capacity and significantly reducing delays. This suggests a reduction of non-linear dynamics induced by intersection bottlenecks, with positive impact on the road network. Such findings can provide transportation engineers and planners with crucial insights as they prepare to manage the transition towards a more intelligent transportation infrastructure in cities.
Are Your Passwords Safe: Energy-Efficient Bcrypt Cracking with Low-Cost Parallel Hardware

Bcrypt is a password hashing scheme based on the Blowfish block cipher. It was designed to be resistant to brute force attacks and to remain secure despite of hardware improvements [13]. Expensive key setup with user-defined cost setting makes this hash slow while rapid random 32-bit lookups using Blowfish's variable S-boxes require 4 KB of local memory per instance. This memory access pattern makes bcrypt moderately unfriendly to parallel implementation on modern CPUs, where on one hand gather addressing is required in order to exploit the CPUs' SIMD capabilities, and on the other even when gather addressing is in fact available the L1 data cache size becomes the limiting factor. Despite of this (and due to it), it is possible to achieve much better performance per Watt with bcrypt implementations on homogeneous and heterogeneous multiprocessing platforms: Parallella board with 16- or 64-core Epiphany accelerator and ZedBoard with Zynq reconfigurable logic [16, 2]. Proposed implementations were integrated into John the Ripper password cracker resulting in improved energy efficiency by a factor of 35+ compared to heavily optimized implementations on modern CPUs.
Gestion des ressources humaines et performance de la firme à capital intellectuel élevé: une application des perspectives de contingence et de configuration

Resume L'objectif de cette etude est de verifier dans quelle mesure les pratiques de GRH prescrites par deux modeles theoriques predisent la performance organisation-nelle percue de 175 firmes a capital intellectuel eleve. Les resultats indiquent que l'index de configuration des pratiques de GRH (complementarite) apporte generalement une augmentation de la prediction de la performance organisationnelle en supplement de celle predite par l'index de contingence (apprentissage organisation-nel) et que ce dernier apporte a son tour partiellement une augmentation de la prediction de la performance organisationnelle en supplement de celle predite par le precedent. Abstract The aim of the present study is to examine to what extent the Human Resource Management (HRM) practices, put forward in two theoretical models, predict the perceived organizational performance of 175 firms characterized by a high intellectual capital. Results indicate that the index of configuration of HRM practices (complementarity) generally causes an increase of the prediction of organizational performance beyond the one predicted by the index of contingency (organizational learning). The latter, in turn, partially brings about an increase of the prediction of organizational performance beyond the one predicted by the former.
Systemic Disease-Induced Salivary Biomarker Profiles in Mouse Models of Melanoma and Non-Small Cell Lung Cancer

Background Saliva (oral fluids) is an emerging biofluid poised for detection of clinical diseases. Although the rationale for oral diseases applications (e.g. oral cancer) is intuitive, the rationale and relationship between systemic diseases and saliva biomarkers are unclear. Methodology/Principal Findings In this study, we used mouse models of melanoma and non-small cell lung cancer and compared the transcriptome biomarker profiles of tumor-bearing mice to those of control mice. Microarray analysis showed that salivary transcriptomes were significantly altered in tumor-bearing mice vs. controls. Significant overlapping among transcriptomes of mouse tumors, serum, salivary glands and saliva suggests that salivary biomarkers have multiple origins. Furthermore, we identified that the expression of two groups of significantly altered transcription factors (TFs) Runx1, Mlxipl, Trim30 and Egr1, Tbx1, Nr1d1 in salivary gland tissue of melanoma-bearing mice can potentially be responsible for 82.6% of the up-regulated gene expression and 62.5% of the down-regulated gene expression, respectively, in the saliva of melanoma-bearing mice. We also showed that the ectopic production of nerve growth factor (NGF) in the melanoma tumor tissue as a tumor-released mediator can induce expression of the TF Egr-1 in the salivary gland. Conclusions Taken together, our data support the conclusion that upon systemic disease development, significant changes can occur in the salivary biomarker profile. Although the origins of the disease-induced salivary biomarkers may be both systemic and local, stimulation of salivary gland by mediators released from remote tumors plays an important role in regulating the salivary surrogate biomarker profiles.
Consensus-based distributed droop control of isolated micro-grids by alternating direction multipliers methods

Recent advocates of distributed multi-agent systems (MAS) have been widely adopted as promising solutions for micro-grid (MG) control and operations. In this paper, we propose an alternating direction multipliers method (ADMM) for consensus-based distributed droop control for proper real power and reactive power sharing. In comparison with the conventional first-order consensus method, this ADMM implementation can indeed reach the steady-state with better convergence rate and resilience to noises. In addition, the communication infrastructure required can be significantly reduced. Possible extensions of the proposed method to two variants, including consensus ADMM with double message exchange and unique message exchange, are also discussed. Real-time simulation studies of a micro-grid with strongly lossy impedances, in which the conventional decentralized droop control method can not work properly, are performed to validate the effectiveness of the proposed ADMM consensus-based distributed droop control.
Studies on the incidence, morphology, transplantation, and cell-free filtration of malignant lymphomas in the Syrian golden hamster.

The spontaneous occurrence and the detailed histopathologic description of malignant lymphomas in control Syrian golden hamsters are presented. The tumors appeared during the second half of the hamsters' lives and were diagnosed as malignant lymphomas, histiocytic type, histologically involving the lymph nodes, skin, liver, spleen, and kidney. Homologous transplantation studies were carried out; in the adult animals the tumor cell graft failed to grow, while in neonatal animals, eight subsequent transplant generations were obtained by the inoculation of tumor cell suspensions. Cell-free filtration attempts were performed also, one from the original and four from the transplanted tumor cells, without any detectable results. Possible causative factors which may play a role in the development of this tumor are discussed.
Extending the Cloud with Fog: Security Challenges & Opportunities

Fog is an emerging computing paradigm which provides storage, processing, and communication services closer to the end user. It reduces latency, provides location awareness, and supports high-density wireless networks. Fog does not replace cloud computing. It extends the cloud to the edges of the network. If properly integrated, the resulting infrastructure would provide reduced latency, geographic awareness, improved data streaming, and access to commodity resource pools. This paper provides a high-level overview of fog computing. It then describes several architectural revisions necessary to support a combined fog-cloud platform. The two primary features are a unified virtualization layer consisting of cloud and fog compute nodes and a management backplane to facilitate communication between the data center and the network edges. Assuming these modifications, the combined architecture is then subjected to a systematic security review. This analysis focuses on implications to confidentiality, integrity, and availability. The paper also includes recommendations for overcoming these security challenges through deliberate, security-conscious designs.
Self‐Employment and Job Satisfaction: Investigating the Role of Self‐Efficacy, Depression, and Seniority

Are self‐employed workers more satisfied with their jobs compared to wage and salary workers? Using The National Survey of Families and Households: Wave I, 1987–1988, and Wave II 1992–1994 several expectations are evaluated in this article. First, self‐employed persons should enjoy higher job satisfaction than others. Second, a portion of the association between job satisfaction and self‐employment should be explained by higher levels of self‐efficacy and by lower levels of depression among the self‐employed compared to others. Third, self‐employment veterans are a select group and should be different systematically from self‐employment newcomers with respect to reported job satisfaction. Findings offer support for the first and second arguments above but not the third. Post‐hoc analysis suggests that among the newly self‐employed, the association between job satisfaction and self‐employment depends on both the quantity and quality of time invested in the business. Implications of these findings and directions for further research are discussed.
Reliable 3D surface acquisition, registration and validation using statistical error models

We present a complete data acquisition and processing chain for the reliable inspection of industrial parts considering anisotropic noise. Data acquisition is performed with a stripe projection system that was modeled and calibrated using photogrammetric techniques. Covariance matrices are attached individually to points during 3D coordinate computation. Different datasets are registered using a new multi-view registration technique. In the validation step, the registered datasets are compared with the CAD model to verify that the measured part meets its specification. While previous methods have only considered the geometrical discrepancies between the sensed part and its CAD model, we also consider statistical information to decide whether the differences are significant.
Temporally graded semantic memory loss in amnesia and semantic dementia: Further evidence for opposite gradients

The consolidation theory of long-term memory (e.g., Squire, 1992) predicts that damage to the medial temporal lobes will result in temporally graded retrograde memory loss, with a disproportionate impairment of recent relative to remote knowledge; in contrast, severe atrophy of the temporal neocortex is predicted to result in the reverse temporally graded pattern, with a selective sparing of recent memory (K.S. Graham & Hodges, 1997). Previously, we reported evidence that autobiographical episodic memory does not follow this temporal pattern (Westmacott, Leach, Freedman, & Moscovitch, 2001). In the present study, we found evidence suggesting that semantic memory loss does follow the predicted temporal pattern. We used a set of tasks that tap implicit and explicit memory for famous names and English vocabulary terms from across the 20th century. KC, a person with medial temporal amnesia, consistently demonstrated across tasks a selective deficit for famous names and vocabulary terms from the 5-year period just prior to injury; this deficit was particularly profound for elaborated semantic knowledge (e.g., word definitions, occupation of famous person). However, when asked to guess on unfamiliar items, KC's performance for names and words from this 5-year time period increased substantially, suggesting that he retains some of this knowledge at an implicit or rudimentary level. Conversely, EL, a semantic dementia patient with temporal neocortical atrophy and relative sparing of the medial temporal lobe, demonstrated a selective sparing of names and words from the most recent time period. However, this selective sparing of recent semantic memory was demonstrated in the implicit tasks only; performance on explicit tasks suggested an equally severe impairment of semantics across all time periods. Unlike the data from our previous study of autobiographical episodic memory, these findings are consistent with the predictions both of consolidation theory (Hodges & Graham, 1998; Squire, 1992) and multiple trace theory (Nadel & Moscovitch, 1999) that the hippocampus plays a timelimited role in the acquisition and representation of long-term semantic memories. Moreover, our findings suggest that tasks requiring minimal verbal production and explicit recall may provide a more sensitive and comprehensive assessment of intact memory capacity in brain-damaged individuals.
Valkyrie: A UML-based Model-driven Environment for Model-driven Software Engineering

Model-driven software engineering aims at increasing productivity by replacing conventional programming with the development of high-level models. Over the years, UML has been established as a standard modeling language which is supported by a large number of tools. Unfortunately, many of these tools primarily focus on graphical editing of diagrams and lack sophisticated support for code generation. The Valkyrie environment addresses this shortcoming. While Valkyrie supports requirements elicitation with use case and activity diagrams, its main emphasis lies on analysis and design, which are based on package diagrams, class diagrams, statecharts, and the textual UML Action Language (UAL). Modeling-in-the-large is supported by package diagrams. Packages are refined into class diagrams. For some class, a statechart may be defined as a protocol state machine. Finally, a method of a class is defined by an activity diagram or a textual program written in UAL. From these artefacts, Valkyrie may generate fully executable code from a platform independent model. Valkyrie is built not only for, but also with model-driven software engineering. It is based on the Eclipse UML2 metamodel and makes use of several frameworks and generators to reduce implementation effort. This paper reports on the current state of Valkyrie, which is still under development.