Miracle-dz/UniFAR-FTUs huggingface dataset:
Training Load and Match-Play Performance in Collegiate Division I Basketball

Purpose: This study examined the relationship between training load and match-play team performance in the subsequent game. Methods: Training load for a NCAA Division I Basketball team was tracked over a 3-year period; 225 practices were observed and recorded. Training load was classified as total duration of training and duration of full-court 5-versus-5 (5v5) during training. In-game performance was tracked for 92 matches during this period. Training load was organized into 48-hours prior to competition (MD-2), 24-hours prior to competition (MD-1), Total Duration, Average Duration, Totals 5v5, and Average 5v5. Performance was determined on how the team faired against the closing point spread differential (CPSD). If the team performed above the CPSD it was considered an ABOVE performance, whereas if the team performed below the CPSD it was considered BELOW. A linear mixed model was used to assess the differences between ABOVE and BELOW performances. Cohen’s d effect sizes (ES) were calculated to determine the magnitude of the differences. Results: Statistical significance was set at p ≤ 0.05. Both 5v5 MD-1 (p = 0.03; ES = -0.43) and Average 5v5 (p = 0.01; ES = -0.55) leading into matches was significantly greater for BELOW than ABOVE outcomes. Conclusion: 5v5 MD-1 and the Average 5v5 in preparation for competition had a significant impact on ensuing performances, whereas no significant difference was found in training MD-2. These findings could have implications on the sequencing of training sessions leading into competition. Keywords: basketball training; team sports; duration; team performance; points spread
Attitudes towards the Arabicization of Civil Engineering Terms in Jordan

The present study aims to investigate the extent of acceptability of Arabicized civil engineering terms in Civil Engineering departments at both Yarmouk University (YU) and Jordan University of Science and Technology (JUST) along with some of project field engineers. The study attempts to evaluate the effectiveness of these terms and whether they are actually used or not. The study examines the attitudes of the participants towards the Arabicized civil engineering terms and tackle the problems behind using them. To do so, the researchers adopted a mixed method; a qualitative method implemented in interviews and a quantitative method implemented in a questionnaire. The sample of the study consisted of a total of 244 individuals in the field of civil engineering. The results showed that the extent of acceptability for the Arabicized terms were very low even for the terms which sounded familiar to the subjects of the study. Moreover, the study reveals that Arabicizing civil engineering terms need institutional rather than individual standardization to have unified Arabicized terms and a binding political decision to enforce the use of these terms. Also, the study shows that borrowing proves to be the most suitable strategy to overcome the lack of equivalence.
Establishment and Persistence of Trees Growing in the Channel of an Intermittent Stream in a Temperate, Karst Environment

Trees, mostly sycamore (Platanus occidentalis L.), are growing in the channel of the lower 7 km of Sinking Creek in the Appalachian Mountains of Virginia. Sinking Creek is a gravel‐bedded stream that disappears into a subsurface cave network and for its lower 7 km, flows intermittently throughout the year, exposing a dry streambed. We hypothesize that there have been low‐flow periods in the past conducive to tree‐seedling establishment. We describe this system and test our hypothesis through an analysis of hydrologic, dendrochronological, and geomorphic data to better understand the conditions leading to tree establishment and persistence in the stream channel. To our knowledge, this is the first study on trees growing in the channel of an intermittent stream in a temperate environment. Most riparian vegetation studies along intermittent rivers and ephemeral streams focus on dryland areas, where trees have also been observed growing in the channel. Our results show that sycamores are the oldest trees in the channel, that they established during periods of low precipitation, and they are located at the upstream end of bars. In their wake, on bars, other younger trees have established. Analysis of tree roots suggest that scour of the base of some trees occurred during thalweg migration. Additionally, we present a conceptual model of the flow‐tree‐sediment dynamics occurring in Sinking Creek that can be further tested as part of future work. This work highlights the conditions for tree establishment in streams, which is an important threshold for any streams under projected future drying.
What’s at play? Power, transnational coaches and the global hegemony of performance within Danish elite swimming

Abstract This paper examines the discourses in power in Danish elite swimming from 2003 to 2013. Gramsci’s perspective was used to deconstruct the hegemonic cultural leadership enacted by coaches and administrators in the Danish Swimming Federation and Team Danmark. Transnational coaches were also engaged in the hegemonic practices towards elite swimmers in Denmark in the quest for Olympic medals. With the exception of a few abortive rebellions, the athletes complied with the hegemonic practices because their coaches and the Danish Swimming Federation were the gatekeepers of their success. These findings are discussed in the context of the evolvement of a neo-liberal funding structure for elite sport in the Western world. The transnational coaches appear to be representing an ideological superstructure in which sporting performance became the sole measure of success (and allocation of funds) in Danish elite sport policy. This study suggests that there is a need of ensuring that athletes’ voices are being heard through an independent regulatory council.
A Selective Fluorescent Probe for the Determination and Imaging of Fluoride in Living Cells

Fluoride anions are indispensable trace elements required for sustaining life. To investigate the homeostasis and action of fluoride in the body, a new highly sensitive and selective fluorescence detection method was designed for fluoride in aqueous solutions. A fluorescent probe for fluoride (FP-F) was synthesized for imaging F - in living cells. The design strategy for the probe was based on the specific reaction between fluoride and silica to mediate deprotection of this probe to fluorescein. Upon treatment with F - , FP-F, a closed and weakly fluorescent lactone, was transformed into an open and strongly fluorescent product. Under the optimum conditions, the detection limit for fluoride was 0.526 nM. FP-F could detect micromolar changes in F concentrations in living cells by confocal microscopy.
Theory of decision tree models in classification problems

Nowadays, machine learning has become one of the most popular subjects. The general classification problem is similar to the medical diagnosis problem. Measurements are made on some case or object. Based on these measurements, we then want to predict which class the case is in. Someone may think that machine learning sounds too advanced to normal people; however, machine learning is applied everywhere in our lives. A decision tree is one of the important machine learning models. It uses a tree-like model of decisions and consequences to help classify experiment sets of data. In this article, we summarize the algorithm of decision trees by investigating its basic theories, algorithms, and implementations.
‘The Custodian of the BBC Archives’: The future of BBC Four as an archive channel

In its Annual Plan for 2021/22, the BBC announced that it would cease to make new content for BBC Four, instead relying on repeats and archive programmes to fill the channel’s schedule. The decision might seem to be a pragmatic response to the corporation’s financial constraints, but will it really lead to the channel becoming ‘the home of the most distinctive content from across the BBC’s archive’ as the broadcaster claims? This article explores the potential risks to cultural memory of recycling archival material on BBC Four with no new content to add to the mix.
Chiral porphyrin assemblies

Porphyrins are among the most important macrocycles because they perform many essential functions in living systems and serve as building blocks in many functional materials. Incorporating the chirality into porphyrins can aid biomimetic research and the exploration of new functional materials. In this review, recent developments in chiral porphyrin assemblies are highlighted. The review is mainly divided into two sections: the different strategies for constructing chiral porphyrin assemblies and the applications. The formation of chiral porphyrin assemblies can be from porphyrin molecules substituted with chiral groups; achiral porphyrins induced by chiral additives and spontaneous deracemizations of achiral porphyrins during the assemblies. We also provide an overview of the applications of chiral porphyrin assemblies in chiral sensing, asymmetry catalysis, circularly polarized luminescence, and so on. The further challenge in the field is discussed.
ConcSpectre: Be Aware of Forthcoming Malware Hidden in Concurrent Programs

Concurrent programs with multiple threads executing in parallel are widely used to unleash the power of multicore computing systems. Owing to their complexity, a lot of research focuses on testing and debugging concurrent programs. Besides correctness, we find that security can also be compromised by concurrency. In this article, we present concurrent program spectre (ConcSpectre), a new security threat that hides malware in nondeterministic thread interleavings. To demonstrate such threat, we have developed a stealth malware technique called concurrent logic bomb by partitioning a piece of malicious code and injecting its components separately into a concurrent program. The malicious behavior can be triggered by certain thread interleavings that rarely happen (e.g., $< $1%) under a normal execution environment. However, with a new technique called controllable probabilistic activation, we can activate such ConcSpectre malware with a very high probability (e.g., $>$90%) by remotely disturbing thread scheduling. In the evaluation, more than 1000 ConcSpectre samples are generated, which bypassed most of the antivirus engines in VirusTotal and four well-known online dynamic malware analysis systems. We also demonstrate how to remotely trigger a ConcSpectre sample on a web server and control its activation probability. Our work shows an urgent need for new malware analysis methods for concurrent programs.
Sensitivity of various factors of vaccination and quarantine for COVID-19

From 2019 to 2021, the coronavirus disease 2019 (COVID-19) epidemic has been a global issue and has attracted such widespread attention of people around the world that an increasing number of scientists are doing research about it. This study aims to construct a dynamic model of COVID-19 and conduct a sensitivity analysis of it. It constructs a Susceptible-Exposed-Infected-Recovered (SEIR) model and adds refinements (vaccination and quarantine) to the basic model. Julia (a programming software) is used to test the sensitivity and obtain the figures. All figures show the sensitivity of all testing parameters and starting times. Starting time for vaccination and quarantine are extremely essential to the peak and the trend of the epidemic. Different parameters in the models have different effects on the epidemic trend (especially parameters that exist in R0). And the findings of this study provide more information to monitor and control the epidemic COVID-19 or new epidemics in the future. It is of great help to bring vaccination and quarantine to the fore.
Exploring Engineering instructors’ views about writing and online tools to support communication in Engineering

ABSTRACT To be fully prepared for the professional workplace, Engineering students need to be able to effectively communicate. However, there has been a growing concern in the field about students’ preparedness for this aspect of their future work. It is argued that online writing tools, to engage numbers of students in the writing process, can support feedback on and development of writing in engineering on a larger scale. Through interviews and questionnaires, this study explores engineering academics’ perceptions of writing to better understand how online writing tools may be integrated into their teaching. Results suggest that writing is viewed positively in the discipline, but it is not believed to be essential to success in engineering. Online writing tools were believed to support a larger number of students, but low knowledge of the tools limited academics’ understanding of their usefulness in teaching and learning. Implications for innovation in undergraduate teaching are discussed.
Trusted Computing : limitations actuelles et perspectives SSTIC 2010 - Rennes

Résumé Cet article à vocation prospective dresse un panorama des atouts et limites de l'informatique de con ance pour la réalisation d'une architecture de sécurité sur une plateforme PC. L'étude met en évidence deux problèmes de positionnement majeurs : une adéquation imprécise vis-à-vis des besoins des di érents marchés ainsi que le manque de clarté sur le positionnement du TPM relativement aux technologies concurrentes. L'article montre que la couverture de nouveaux besoins liés à l'intégrité et la con dentialité d'exécution nécessiterait soit une adaptation du TPM (transformation vers un crypto-processeur, voire un processeur sécurisé), soit l'utilisation de technologies complémentaires telles que la virtualisation.
Impacts of climate change on the glacier melt runoff from five river basins

This study assesses the impacts of climate change on river flow from highly glaciered river basins using the Soil and Water Assessment Tool (SWAT). Analyses are conducted for five river basins that are global in coverage and vary in climatic condition. These include the Narayani (Nepal), Vakhsh (central Asia), Rhone (Switzerland), Mendoza (central Andes, Argentina), and central dry Andes (Chile). The predicted future climate change by two RCP (representative concentration pathway) climate change scenarios (RCP4.5 and RCP8.5) and six CMIP5 (Coupled Model Intercomparison Project 5) models are presented. Simulations of mean annual runoff, mean monthly runoff, high (Q5) and low (Q95) monthly runoff, and flow duration curves under baseline (1979-2008) and climate change scenarios are presented. Results showed that mean annual water yield under RCP4.5 and RCP8.5 increased 17% and 40%, respectively, for Rhone, 50% and 80% for Narayani, 65% and 116% for Vakhsh, 28% and 55% for Mendoza, and 17% and 30% for Chile. For a GCM ensemble and RCP8.5, all glaciers with 100 m water equivalent will disappear by 2100 across the Rhone, Narayani, and central Chilean river basins, while in Mendoza and Vakhsh at least 41% and 2%, respectively, of the glaciers will remain.
Projection-based reduced order models for parameterized nonlinear time-dependent problems arising in cardiac mechanics

The numerical simulation of several virtual scenarios arising in cardiac mechanics poses a computational challenge that can be alleviated if traditional full-order models (FOMs) are replaced by reduced order models (ROMs). For example, in the case of problems involving a vector of input parameters related, e.g., to material coefficients, projection-based ROMs provide mathematically rigorous physics-driven surrogate ROMs. In this work we demonstrate how, once trained, ROMs yield extremely accurate predictions (according to a prescribed tolerance) – yet cheaper than the ones provided by FOMs – of the structural deformation of the left ventricular tissue over an entire heartbeat, and of related output quantities of interest, such as the pressure-volume loop, for any desired input parameter values within a prescribed parameter range. However, the construction of ROM approximations for time-dependent cardiac mechanics is not straightforward, because of the highly nonlinear and multiscale nature of the problem, and almost never addressed. Our approach relies on the reduced basis method for parameterized partial differential equations. This technique performs a Galerkin projection onto a low-dimensional space for the displacement variable; the reduced space is built from a set of solution snapshots – obtained for different input parameter values and time instances – of the high-fidelity FOM, through the proper orthogonal decomposition technique. Then, suitable hyper-reduction techniques, such as the Discrete Empirical Interpolation Method, are exploited to efficiently handle nonlinear and parameter-dependent terms. In this work we show how a fast and reliable approximation of the time-dependent cardiac mechanical model can be achieved by a projection-based ROM, taking into account both passive and active mechanics for the left ventricle providing all the building blocks of the methodology, and highlighting those challenging aspects that are still open.
Supporting Crowd Workers in Ideation Tasks Through Information Gathering and Reflective Activity

Abstract Crowdsourcing is widely used to solve creative problems of ideation in HCI domain. To improve the creativity of crowdsourcing outcomes, researchers have proposed multiple approaches to support crowd workers’ idea proposal step. Other steps in designers’ creative process, such as information gathering and reflective activity, also impact idea creativity, while their effects in crowdsourcing scenarios remain unexplored. Therefore, referring to the creativity research, this study proposed an approach that optimized crowdsourcing tasks to help crowd workers perform information gathering and reflective activity. Two experiments involving 427 workers were conducted to test the effects of our approach. Results showed that instructing crowd workers to gather information and reflect on their ideas positively affected the creativity of crowdsourcing outcomes. This study provides inspiration for the optimization of crowdsourcing tasks and offers insights to the researchers who focus on using crowd power to achieve the ideation process.
Czynniki wpływające na opinie przedsiębiorców w kwestionariuszowych badaniach koniunktury

The article analyzes business tendency surveys, which are commonly applied in economic trend forecasting. The goal of the study was to investigate whether shifts in the economic performance of enterprises and their closest environment influence entrepreneurs’ opinion about the general economic situation of their firms. The research was performed on the business tendency surveys carried out for the manufacturing industry in 2000−2014 by the Central Statistical Office of Poland. On the basis of the results of earlier research, the following hypothesis was assumed: respondents’ opinions constituting the qualitative variables are significantly dependent on the quantitative data describing the economic performance of their firms. The research has been done using methods of time series analysis (Census II and the Hodrick-Prescott filter) and interdependence analysis (the Pearson correlation coefficient with time lags and the Granger causality test). The results support the assumed hypothesis. Answering survey questions, respondents take into account economic and financial performance measures. Particular importance is attached to operating profitability and inventories turnover. The research revealed statistically important influence of GDP growth rate communiques on respondents’ opinions about the general situation of their firms.
Déficits neuropsicológicos en mujeres con trastornos de la conducta alimentaria

Background: Anorexia nervosa (AN) and bulimia nervosa (BN) are severe and chronic mental health illnesses that affect a high percentage of the population. A growing number of studies have reported neuropsychological impairments in this population, apparently contributing to the onset and progression of the disorder, and impacting on treatment efficacy and recovery. Methodology: This Narrative Review aimed to summarize findings regarding the neuropsychological profile of women with AN and BN at different treatment phases. Results: Available evidence suggests that women with AN and BN present a profile of executive and social cognition deficits. These results are consistent with evidence from neuroimaging findings of structural brain alterations in frontal areas and frontal-subcortical circuits. Conclusions: Knowledge about the neuropsychological profiles of AN and BN women offers key information to understand the clinical presentation of this population and challenges in adhering and benefiting from treatment. Future studies should explore the efficacy of interventions targeting neuropsychological impairments and how they contribute to treatment as usual.
Subgenome dominance and its evolutionary implications in crop domestication and breeding

Abstract Polyploidization or whole-genome duplication (WGD) is a well-known speciation and adaptation mechanism in angiosperms, while subgenome dominance is a crucial phenomenon in allopolyploids, established following polyploidization. The dominant subgenomes contribute more to genome evolution and homoeolog expression bias, both of which confer advantages for short-term phenotypic adaptation and long-term domestication. In this review, we firstly summarize the probable mechanistic basis for subgenome dominance, including the effects of genetic [transposon, genetic incompatibility, and homoeologous exchange (HE)], epigenetic (DNA methylation and histone modification), and developmental and environmental factors on this evolutionary process. We then move to Brassica rapa, a typical allopolyploid with subgenome dominance. Polyploidization provides the B. rapa genome not only with the genomic plasticity for adapting to changeable environments, but also an abundant genetic basis for morphological variation, making it a representative species for subgenome dominance studies. According to the ‘two-step theory’, B. rapa experienced genome fractionation twice during WGD, in which most of the genes responding to the environmental cues and phytohormones were over-retained, enhancing subgenome dominance and consequent adaption. More than this, the pangenome of 18 B. rapa accessions with different morphotypes recently constructed provides further evidence to reveal the impacts of polyploidization and subgenome dominance on intraspecific diversification in B. rapa. Above and beyond the fundamental understanding of WGD and subgenome dominance in B. rapa and other plants, however, it remains elusive why subgenome dominance has tissue- and spatiotemporal-specific features and could shuffle between homoeologous regions of different subgenomes by environments in allopolyploids. We lastly propose acceleration of the combined application of resynthesized allopolyploids, omics technology, and genome editing tools to deepen mechanistic investigations of subgenome dominance, both genetic and epigenetic, in a variety of species and environments. We believe that the implications of genomic and genetic basis of a variety of ecologically, evolutionarily, and agriculturally interesting traits coupled with subgenome dominance will be uncovered and aid in making new discoveries and crop breeding.