Miracle-dz/UniFAR-FTUs huggingface dataset:
Sport Parent Sideline Behavior in Youth Baseball and Ice Hockey

Children across Canada participate in a variety of organized sports (Active Healthy Kids Canada, 2015) and parents are a vital part of children's sport experience as both practical (e.g., driving to practice, signing up, etc.) and emotional supporters (Omli & Wiese-Bjornstal, 2011). Many parents' support is positive, with parents displaying good behavior while watching youth sport events, however poor behavior still exists on youth sport sidelines and can take away from the overall enjoyment for young athletes (Bowker et al., 2009). Using research from sport psychology and sport management, this study examined, from the perspective of parents, whether personal (gender and previous sport experience) and situational (sport type, stakes, and occurrence) factors influenced behavior on baseball and ice hockey sidelines during youth sport events. Bronfenbrenner's (1977) ecological model was used to organize previous research and, combined with the general aggression model (Anderson & Bushman, 2002), created the multi-disciplinary framework used to guide the study presented here. 1040 parents from provincial sport organizations in western Canada completed a survey providing insight into their perceptions of behavior on youth sport sidelines. While some differences were found in the personal and situation factors examined, overall poor behavior was not reported frequently and was generally considered unacceptable. There were some areas identified where parent behavior can improve however, and these results can be used by sport organizations to educate parents and inform policy around behavior on youth sport sidelines, as well as guide future sport parent research.
Who studies STEM subjects at A level and degree in England? An investigation into the intersections between students’ family background, gender and ethnicity in determining choice

The relative lack of students studying post-compulsory STEM (Science, Technology, Engineering and Mathematics) subjects is a key policy concern. A particular issue is the disparities in uptake by students’ family background, gender and ethnicity. It remains unclear whether the relationship between student characteristics and choice can be explained by academic disparities, and whether students’ background, gender and ethnicity interact in determining university subject choices, rather than simply having additive effects. I use data from more than 4000 students in England from ‘Next Steps’ (previously the LSYPE) and logistic regression methods to explore the interacting relationships between student characteristics and subject choice. There are four main findings of this study. Firstly, disparities by students’ ethnicity are shown to increase when controlling for prior attainment. Secondly, family background indicators are differentially related to uptake for male and female students, with parents’ social class and education larger predictors of choice than financial resources. Thirdly, gender, ethnicity and family background interact in determining choices. Particularly, as socio-economic position increases, young women are more likely to choose STEM over other high-return subjects. Finally, associations between student characteristics and subject choices, including interactions, largely persisted when accounting for A-level choices. Implications for policy and future research are discussed.
Synchronized Formation and Remodeling of Postsynaptic Densities: Long-Term Visualization of Hippocampal Neurons Expressing Postsynaptic Density Proteins Tagged with Green Fluorescent Protein

To explore mechanisms governing the formation and remodeling of postsynaptic density (PSD), we used dissociated cultures of hippocampal neurons isolated from transgenic embryos expressing green fluorescent protein (GFP)-tagged PSD proteins PSD-Zip45 (Homer 1c) and PSD-95. Expression of GFP-tagged PSD molecules was stable, and the remodeling process of PSDs could be followed for >1 week. A higher expression level of GFP-PSD-Zip45 enabled us to quantitatively analyze the amount of PSD-Zip45 clusters during development. Repetitive imaging of the same cell populations between 11 and 17 d in culture revealed an increase of the average PSD-Zip45 cluster density from 0.32 to 0.73/μm. Newly generated dendrites rapidly acquired GFP-PSD-Zip45 clusters, and their density reached the level of parental dendrites within a few days. Temporal profiles of GFP-PSD-Zip45 cluster density showed a variety of patterns. Some dendrites showed a monotonous increase of clusters, whereas others showed complex patterns, including short decremental stages. Analysis of long-term remodeling of PSD-95-GFP clusters confirmed that the decremental stages were not specific to the PSD-Zip45 clusters. Comparison of the temporal profiles of the cluster density among neurons indicated synchronization of both GFP-PSD-Zip45 and PSD-95 clustering within individual cells. Furthermore, activation of cAMP-dependent protein kinase suppressed the decremental stages of cluster remodeling. These observations suggest the presence of signaling mechanisms that can induce synchronized addition or elimination of PSD proteins throughout dendritic arborization of a single neuron.
Determinants of Intention to Use eLearning Based on the Technology Acceptance Model

The purpose of this study was to find some of the predominant factors that determine the intention of students to use eLearning in the future. Since eLearning is not just a technology acceptance decision but also involves cognition, this study extended its search beyond the normal technology acceptance variables into variables that could affect the cognition of an individual due to his or her unique characteristics. The variables in the literature of technology acceptance studies can be classified broadly into 5 categories. They are Individual Differences, Beliefs, Attitude, Behavioral Intention, and Actual Behavior. Since the Technology Acceptance Model (TAM) is the most widely used model to study the acceptance of technology, this study adopted TAM and further extended it based on the recommendations from the literature of information systems and information technology. It can be said that eLearning is in the ‘Early Adopters’ stage in the academic sector and at the ‘Early Majority’ stage in the corporate sector of the innovation diffusion process. Individual differences are among the external variables said to influence the belief variables in TAM. The research intent is to understand what individual differences can be observed as the characteristics of early adopters of eLearning. Personality traits are one of the predominant measures of individual differences. This study employs the big five personality trait measures to measure the personality types of individuals engaged in eLearning and how they influence their decision to further engaging in eLearning. The variables of the research model are categorized into individual differences, beliefs and behavior. Apart from the TAM variables, i.e., Perceived Ease of Use (PEU) and Perceived Usefulness (PU), this study has incorporated Perceived Enjoyment (PE) which is a measure of intrinsic motivation and Subjective Norms (SN) into the beliefs variables category. This research was conducted among the master degree students of eLearning programs at a Uni
Acupuncture versus placebo versus sumatriptan for early treatment of migraine attacks: a randomized controlled trial

Abstract. Melchart D, Thormaehlen J, Hager S, Liao J, Linde K, Weidenhammer W (Technical University, Munich, Germany; University Zurich, Switzerland; and Hospital for Traditional Chinese Medicine, Koetzting, Germany). Acupuncture versus placebo versus sumatriptan for early treatment of migraine attacks: a randomized controlled trial. J Intern Med 2003; 253: 181–188.
The Influence of Personality Traits on Consumer Impulsive Buying Behaviour

Consumer behaviour is a complex phenomenon which is evolving according to the time, situations, demographic characteristics of individuals, personality traits, cultural influences etc. The personality of individuals is a unique dynamic organisation of the characteristics of a particular person, physical and psychological, which influence behaviour and responses to the social and physical environment. It gives the impression that consumer buying is always influenced by their personality. Therefore, many marketers make use of personality traits in the advertisement of products and at the same time they enhance their marketing strategy. The marketers always designed different products and target specific market segments which commonly addressed on individual’s personality traits. The individual’s few personality traits influence consumer for impulsive buying behaviour. The aim of present research is to study the personality traits influence on consumer impulsive buying behaviour as it will help to create opportunities of doing business and dealing with customers. The objectives of this research are: (1) to investigate the influence of personality traits on consumer impulsive buying behaviour, and (2) to identify the role of gender and their personality traits influence on consumer impulsive buying behaviour. To fulfill the purpose of the study, the researchers randomly collected sample and divided them on the basis of gender; 60 males and 60 females. Data were collected from Delhi and NCR region. The data were analysed using statistical applications such as correlation and ‘t’ Test. The result was revealed that the common personality traits have a significant relationship with impulsive buying behviour that is psychoticism in the case of male and female. The role of gender has significant differences in impulsive buying behaviour. The man showed more impulsive buying behaviour compare to women.
Automatic text structuring and retrieval-experiments in automatic encyclopedia searching

Many conventional approaches to text analysis and information retrieval prove ineffective when large text collections must be processed in heterogeneous subject areas. An alternative text manipulation system is outlined useful for the retrieval of large heterogeneous texts, and for the recognition of content similarities between text excerpts, based on flexible text matching procedures carried out in several contexts of different scope. The methods are illustrated by search experiments performed with the 29-volume Funk and Wagnalls encyclopedia. Approaches to Text Retrieval We are addressing the problem of text retrieval from large, heterogeneous text databases, where the vocabulary varies widely and the subject matter is unrestricted. This includes newspaper articles, newswire dispatches, textbooks, dictionaries and encyclopedias, manuals, magazine articles, and so on. Necessarily, the retrieval operations must be preceded by some form of text analysis, or text indexing operation, leading to the assignment to query and document texts of appropriate content identifications. When content identifiers are attached to text items, the text retrieval operations can be carried out by comparing the identifications assigned to the various text items with the query identifications, and retrieving texts that appear sufficiently similar to the corresponding queries. [1-2] ● Department of Computer Science, Cornell University, Ithaca, NY 14853-7501. This study was supported in part by the National Science Foundation under grant IRI 89-15847. Permission to copy without fee all or part of this material ia granted provided that the copies are not made or distributed for direct commercial advantage, the ACM copyright notice and the title of the publication and its date appear, and notice ie given that copying is by permieaion of the Association for Computing Machinery. To copy otherwiee, or to republish, requiree a fee and/or specific permission. @ 1991 ACM 0.89791. 448-1/91/0009/0021 ,. ,$1.50 In discussing the text analysis operation, it is customary to contrast the so-called keyword approach with more sophisticated procedures based in part on linguistic and logical considerations. In the keyword approach, single-term concepts, known as keywords,
“Love Needs to Be Exchanged”: A Diary Study of Interaction and Enactment of the Family Kinkeeper Role

Family kinkeepers enact an important role centered on interaction and maintaining family relationships. The researchers studied kinkeeping communication in light of mediated communication, topics engaged, and kinkeepers’ assessments. Thirty-four self-identified kinkeepers kept an interaction diary over 2 weeks. Their 275 reports represented 1,487 interactions using largely mediated communication channels (text, telephone, e-mail, social media), centered on everyday activities, rituals, and health and safety. Despite potential complications of the role, kinkeepers reported high agreement and openness with family members, little conflict, and overall satisfaction with their interactions. Implications of these findings, new directions for researchers, and the important mediated role of family kinkeeping are discussed.
Depth-First Search Approach for Fault-Tolerant Routing in Hypercube

Using depth-first search, the authors develop and analyze the performance of a routing scheme for hypercube multicomputers in the presence of an arbitrary number of faulty components. They derive an exact expression for the probability of routing messages by way of optimal paths (of length equal to the Hamming distance between the corresponding pair of nodes) from the source node to an obstructed node. The obstructed node is defined as the first node encountered by the message that finds no optimal path to the destination node. It is noted that the probability of routing messages over an optimal path between any two nodes is a special case of the present results and can be obtained by replacing the obstructed node with the destination node. Numerical examples are given to illustrate the results, and they show that, in the presence of component failures, depth-first search routing can route a message to its destination by means of an optimal path with a very high probability. >
Epidemiology of fractures in children and adolescents

Background and purpose Fractures are most common in youth and in the elderly, with differences in incidence over time and between regions. We present the fracture pattern in a population of youths ≤ 19 years of age, who were seen at Umeå University Hospital, Sweden. Material and methods All injuries seen at the hospital have been recorded in a database since 1993. The data include variables such as age, sex, date, type of injury, mechanism of injury, and treatment. For the period 1993–2007, there were 10,203 injury events that had resulted in at least 1 fracture. Results The incidence for the whole period was 201/104 person years. The incidence increased by 13% during the period 1998–2007, when we were able to control for registration errors. The most common fracture site was the distal forearm. The most common type of injury mechanism was falling. The peak incidence occurred at 11–12 years in girls and at 13–14 years in boys, with a male-to-female incidence ratio of 1.5. We found variations in mechanisms and activities at injury with age, and over time. Interpretation Fractures are caused by a combination of intrinsic and extrinsic factors that vary with age. We believe the increase in incidence is partly explained by changes in children's activity patterns over time. Further research may help to identify preventive measures to reduce the number of fractures, in particular those involving hospital care, surgical treatment, and—most importantly—long-term impairment.
Photoionized Gas in Dark Matter Minihalos in the Galactic Halo and Local Group

We present computations of the metals photoionization structures of pressure-supported gas clouds in gravitationally dominant dark matter minihalos in the extended Galactic halo or Local Group environment. We consider low-metallicity (0.1-0.3 Z☉) clouds that are photoionized by the present-day metagalactic radiation field and are also pressure confined by a hot external medium. We study the properties of ΛCDM Burkert (and also NFW) minihalos with characteristic circular velocities from 12 to 30 km s-1 (108-2 × 109 M☉). We present results for the volume densities and projected column densities of low-ionization metal atoms and ions, C II, N I, O I, Si II, and S II, produced in the neutral cloud cores, and high ions, C IV, N V, O VI, Si III, Si IV, and S III, produced in the ionized shielding envelopes. We examine the possible relationships between the compact H I high-velocity clouds (CHVCs), dwarf galaxies, and high-velocity ionized C IV absorbers, within the context of photoionized minihalo models for such objects. In pressure-confined (P/k ~ 50 cm-3 K) minihalo models for the CHVCs the photoionization states are much lower than in the C IV absorbers. However, for lower bounding pressures ≲1 cm-3 K, in more massive ~2 × 109 M☉ dwarf galaxy-scale halos, the photoionization states in the outer envelopes resemble those observed in the C IV HVCs. An important exception is O VI, for which our photoionization models underpredict the relative abundances by about an order of magnitude, suggesting that additional processes are at play as concluded by Sembach and coworkers. For the cloud size scales expected in median ΛCDM Burkert halos, a gas metallicity of 0.3 Z☉ is required to produce absorption-line strengths comparable to those in the C IV HVCs. We argue that fully ionized and starless "dark galaxies" could be detectable in the local universe as UV metal line absorbers with ionization states similar to the C IV absorbers.
Collaborative e-Learning through Drag & Share in Synchronous Shared Workspaces

e-Learning platforms allow users to collaborate with one other. Moodle, as one of the main e-Learning platforms, provides tools to perform collaborative tasks. With these tasks, students are able to share documents and information. The means provided by Moodle are not enough to perform some collaborative tasks, such as sharing documents in real-time. In this scenario users must be aware of what is happening in the system effectively. We propose the use of Drag&Share within Moodle, a collaborative tool that allows users to synchronously share resources in real-time. Through this tool, teachers are able to easily provide a shared workspace for students and be able to create groups. With such a tool, students can share all kind of resources and be aware of what is going on in the system in which they are participating and of what they are doing. All these features use standard technologies, such as HTML5.
From Prison to the Community: Assessing the Direct, Reciprocal, and Indirect Effects of Parolees on Neighborhood Structure and Crime

This study examines the direct, reciprocal, and indirect effects of parolees on neighborhoods, including residential vacancies, property sales, public assistance, and crime. Cross-lagged autoregressive models are estimated using a unique data set containing annual neighborhood information on parolees, crime rates, and neighborhood structure in the city of Cleveland, Ohio, between 2000 and 2008. Results suggest parolees degrade neighborhood structure, and these effects are direct, reciprocal, and indirect. Understanding how the presence of parolees can contribute to changes in neighborhood processes linked to crime will broaden our understanding of the effects that parolees have on communities and highlight additional areas for intervention.
Modelling the Milky Way through adiabatic compression of cold dark matter haloes

We use the adiabatic compression theory to build a physically well-motivated Milky Way mass model in agree- ment with observational data. The visible mass of the Galaxy is distributed in a spheroidal bulge and a multi-component disc parametrized by three galactic parameters, the Sun distance to the galactic centre, R0, the total bulge mass, Mbulge ,a nd the local disc surface density, Σ� . To model the dark matter component, we adiabatically compress a Navarro, Frenk and White (NFW) halo (with concentration c and total mass Mvir) for fixed values of the spin parameter λ, the fraction of the mass in baryons mb, and the thin disc contribution to total angular momentum jd. An iterative selection procedure is used to explore in detail the wide space of parameters only selecting those combinations of R0, Mbulge, Σ� ,λ ,mb, jd, c, Mvir that give rise to a Milky Way model in agreement with observational constraints. This analysis leads us to conclude that only models with R0 = 8.5 kpc, 0.8 × 10 10 M� < Mbulge < 1.6 × 10 10 Mand 49 Mpc −2 ≤ Σ� ≤ 56 Mpc −2 can be reconciled with the set of observational constraints. As regards the parameters entering the adiabatic compression, we find 0.03 ≤ λ ≤ 0.10 and 0.04 ≤ mb ≤ 0.10, while final estimates of the parameters describing the initial halo profile turn out to be 5 < c < 12 and 7 × 10 11 M� < Mvir < 17 × 10 11 M� (all at 95.7% CL).
Brain activity evidence for recognition without recollection after early hippocampal damage

Amnesic patients with early and seemingly isolated hippocampal injury show relatively normal recognition memory scores. The cognitive profile of these patients raises the possibility that this recognition performance is maintained mainly by stimulus familiarity in the absence of recollection of contextual information. Here we report electrophysiological data on the status of recognition memory in one of the patients, Jon. Jon's recognition of studied words lacks the event-related potential (ERP) index of recollection, viz., an increase in the late positive component (500–700 ms), under conditions that elicit it reliably in normal subjects. On the other hand, a decrease of the ERP amplitude between 300 and 500 ms, also reliably found in normal subjects, is well preserved. This so-called N400 effect has been linked to stimulus familiarity in previous ERP studies of recognition memory. In Jon, this link is supported by the finding that his recognized and unrecognized studied words evoked topographically distinct ERP effects in the N400 time window. These data suggest that recollection is more dependent on the hippocampal formation than is familiarity, consistent with the view that the hippocampal formation plays a special role in episodic memory, for which recollection is so critical.
Prognostic Value of Malic Enzyme and ATP-Citrate Lyase in Non-Small Cell Lung Cancer of the Young and the Elderly

Background Lung cancer is the leading cause of death among malignancies worldwide. Understanding its biology is therefore of pivotal importance to improve patient’s prognosis. In contrast to non-neoplastic tissues, cancer cells utilize glucose mainly for production of basic cellular modules ‘(i.e. nucleotides, aminoacids, fatty acids). In cancer, Malic enzyme (ME) and ATP-citrate lyase (ACLY) are key enzymes linking aerobic glycolysis and fatty acid synthesis and may therefore be of biological and prognostic significance in non-small cell lung cancer (NSCLC). Material and Methods ME and ACLY expression was analyzed in 258 NSCLC in correlation with clinico-pathological parameters including patient’s survival. Results Though, overall expression of both enzymes correlated positively, ACLY was associated with local tumor stage, whereas ME correlated with occurrence of mediastinal lymph node metastases. Young patients overexpressing ACLY and/or ME had a significantly longer overall survival. This proved to be an independent prognostic factor. This contrasts older NSCLC patients, in whom overexpression of ACLY and/or ME appears to predict the opposite. Conclusion In NSCLC, ME and ACLY show different enzyme expressions relating to local and mediastinal spread. Most important, we detected an inverse prognostic impact of ACLY and/or ME overexpression in young and elderly patients. It can therefore be expected, that treatment of NSCLC especially, if targeting metabolic pathways, requires different strategies in different age groups.