Miracle-dz/UniFAR-FTUs huggingface dataset:
Sport migration from the UK to the US: The student-athlete experience

ABSTRACT There has been an upward trend of student-athletes migrating to the US (United States) from the United Kingdom (UK). This study focused specifically on elite UK student-athletes’ motivations for migrating to the US and their perceptions of the transition on their athletic development. A qualitative research method was used to facilitate the development of this relatively new area. Three primary reasons for migration were identified: (1) the appealing nature of the recruitment process; (2) US university environment: conducive to athletic development; (3) idealistic expectations of US university experience. Five predominant influencing factors of their athletic development in the US were also identified: (1) nature of the coach-athlete relationship; (2) training demands; (3) exposure to high-level competition; (4) representing the university; (5) perception of sport as their job. Due to this study’s emphasis on sport, the researchers identified two new concepts: multifaceted perceptions of athletic development and positive reframing.
New fixed point theorem for generalized contractions

In this paper we give a Ciric type ﬁxed point theorem in a complete metric space; this theorem extends other well-known ﬁxed point theorems ([7], [8], [9]). Two examples are given to demonstrate the importance of our work. 2000 Mathematics Subject Classiﬁcation: 47H10, 54H25.
Measuring the Cost of Regulation: A Text-Based Approach

We derive a measure of firm-level regulatory costs from the text of corporate earnings calls. We then use this measure to study the effect of regulation on companies’ operating fundamentals and cost of capital. We find that higher regulatory cost results in slower sales growth, an effect which is mitigated for large firms. Furthermore, we find a one-standard deviation increase in our preferred measure of regulatory cost is associated with an increase in firms’ cost of capital of close to 3% per year. These findings suggest that regulatory risk is a major cost to firms, but the largest firms are able to manage that risk better.
Overview of Injuries Associated with Extreme Weather Events in New Hampshire, U.S., 2001–2009

Global climate change is an environmental hazard with significant public health impacts. High-impact weather events including periods of extreme temperature or extreme precipitation are frequently associated with adverse effects on human health. This study evaluates the impact of extreme weather events on injuries across New Hampshire. A set of five daily extreme weather metrics (EWMs) was analyzed: daily maximum temperature ≤32 °F (0 °C), daily maximum temperature ≥90 °F (32 °C), daily maximum temperature ≥95 °F (35 °C), daily precipitation ≥1″, and daily precipitation ≥2″. Exposure to these EWMs was defined by linking the population within 10 miles of nine weather stations distributed across the state. Injuries were defined as hospitalizations categorized as: all-cause injury, vehicle accidents, accidental falls, accidents due to natural and environmental causes (including excessive heat, excessive cold, exposure due to weather conditions, lightning, and storms and floods), accidental drowning, and carbon monoxide poisoning. The associations between all injury categories and all EWMs as well as daily maximum temperature and daily precipitation were explored. A quasi-Poisson regression model was used to evaluate the relationship between the four strongest exposure–outcome pairs linking maximum temperature to all-cause injury-, vehicle accident-, accidental fall-, and heat-related hospital visits. Results indicate that daily maximum temperature (>90 °F) was most strongly associated with heat-related hospital visits and was also associated with all-cause injury-related hospital visits. Future work should include further analysis of cold weather metrics and incorporate these findings into public health planning and response efforts.
Potentials of AR technology for the digitalization of consultancy intensive sales processes on the example of furniture sales

Selling highly configurable or complex products in online markets has been difficult as they often require intensive consultation time which currently takes place in a physical store. The consultation process has various facets that could possibly benefit from digital solutions. As a first step in our research process, we conducted an ethnographic observation in a furniture store to analyze current sales and consultation processes. Based on our findings, we derive several requirements which can guide the design of IT solutions to digitalize those processes. Additionally, we propose an augmented reality system offering various benefits to both consultants in stores as well as customers at home.
Adaptive Interference Suppression of Phase-Only Thinned Arrays via Convex Optimization

For antenna arrays, the conventional beamformer (CB) is perhaps the simplest kind of beamforming techniques with only phase shifters connected to the antenna elements. However, the output signal to interference and noise ratio (SINR) performance is usually quite away from the optimum. Besides, as the number of antenna elements increases, the hardware cost and power consumption are still too high for many applications. In this article, based on the phase-only CB, we propose different ways for thinning this kind of antenna arrays, which can be efficiently solved via common convex-optimization solvers. Specifically, the first-derived phase-only thinned array can largely increase the output SINR with fewer active antenna elements than the CB. The second one can keep the output SINR performance as that of the CB with a significantly smaller number of active antenna elements than that required by the CB. The third criterion is to add an additional constraint on the number of active antenna elements while maximizing the output SINR, which may benefit the hardware planning. Simulation results confirm the feasibilities of these methods, and the above-stated tasks are all fulfilled. Therefore, the proposed phase-only thinned arrays have the flexibility to provide various levels of array performance with reduced hardware resources.
The complete chloroplast genome sequences of Anoectochilus nandanensis and A. calcareus

Abstract Anoectochilus nandanensis and A. calcareus are medical plants with important economic value. In this study, we assembled their complete chloroplast (cp) genome sequences. The assembled cp genomes are 152,415 bp and 151,864 bp in length, including a large single-copy (LSC) region of 82,412 bp and 82,083 bp, a small single-copy (SSC) region of 17,367 bp and 17,142 bp and a pair of inverted repeats (IRs) of 26,318 bp and 26,320 bp, respectively. All genomes contained 133 genes, including 79 protein-coding genes, 30 tRNA genes, and 4 rRNA genes. The overall GC content of genomes in both species is 36.9%. Further phylogenetic analysis showed that three Anoectochilus comprised of a monophyletic clade and A. nandanensis was more close to A. emeiensis.
Incorporating Rainwater Harvesting Systems in Iran’s Potable Water-Saving Scheme by Using a GIS-Simulation Based Decision Support System

Rainwater harvesting systems (RWHSs) have been accepted as a simple and effective approach to ease the worsening of urban water stress. However, in arid and semiarid regions, a comprehensive method for promoting domestic RWHSs in a large-scale water-saving scheme that incorporates water consumption reducing equipment (WCRE) and gray water reuse (GWR), has not been well developed. For this, based on the case study of Guilan Province, Iran, this study addressed the temporal-spatial complex of rainfall and proposed a GIS-simulation-based decision support system (DSS). Herein, two scenarios, i.e., the typical RWHS and the modified RWHS for arid areas, were tested; and the associated economic analysis was performed and compared with WCRE and GWR. Moreover, for larger-scale implementation, the multiple criteria decision making (MCDM) technique was further applied to address the social-environmental complexity of these water-saving methods. Guilan Province has thereby been classified into three priority levels, providing a straightforward understanding of how to promote the large-scale water-saving scheme. Compared with the traditional generalized method, sensitivity analysis verified that this DSS enhanced the information value. Hence, the DSS that provides more holistic and comprehensive support has been identified as a useful tool to ease the threat of urban water stress.
Risk Aversion, Risk Preference and Farmers’ Decision to Participate in Broiler Contract Farming: A Case Study in Jember, Indonesia

The demand for broiler is rising rapidly due to its capability as the main animal protein source. In contrast, the production of broiler meat is unstable due to the possibility of farm risk. Contract Farming (CF) is one of the risk management tools for farmers but has not been used effectively. The purpose of this study was to analyze the factors that influence farmers’ decision to participate in CF. The analysis used six independent variables, namely farmer’s age, farm size, household size, education, farmer’s risk preference and risk aversion level. This study used primary data from 70 broiler farmers in Jember, which were divided into two groups, contract farmer and independent farmer. Each group had the same number of respondents. The results show that five among six independent variables significantly affected farmers’ decision to take part in CF. Farmer’s age decreased farmer’s probability to participate in CF, while education, farm size, household size and risk preference had positive effects. Farmer’s risk aversion level did not have any significant effect. The results suggest that the effort to expand CF participation should focus on young and educated farmers with large farm size.
Biomonitoring of Heavy Metal Levels in Izmit Gulf in Marmara Sea with Biofilm Formation in Plexiglass Substrate

In this study, plexiglas substrates were used for biofilm formation to observe short-term variations in heavy metals in Izmit Gulf. The substrates were inserted and collected in a two-week period as three times in the autumn season. The averaged accumulation values of metals were decreased in the order of Fe>Mn>Zn>Cu>Pb>Cr>Ni>Cd. The same trend was observed in the first and third samples of the autumn without any exception in the sequence. The order for the second sample was as Fe>Mn>Zn>Pb>Cr>Cu>Ni>Cd. Among the 37 species found, 22 belonged to Bacillariophyceae, 2 species to Cyanophyceae and 13 species to Dinophyceae taxa. While Bacillariophyceae consisted of about 55 % of total colony, 38 % and 7 % comsosed of species of Dinophyceae and Cyanophyceae taxa, respectively. Total biodensity values are 22362, 23513 and 21348 cell/ml. For various incubation days (15, 30 and 45), it was seen that increasing incubation time would not always result in the increase in densities of all species and total density of biofilms. Metal levels did not show big variations. Low correlations were observed in relative abundances of first three dominant species occupying around 85 % of total algal community with some metals, though the variations are not much significant.
Genetic Differentiation of Bipolaris spp. based on Random Amplified Polymorphic DNA markers

Seventeen Indian isolates of Bipolaris spp. which included 12 isolates of Bipolaris sorokiniana, two isolates each of B. specifera and B. tetramera and one isolate of B. maydis were taken up for identification of genetic markers and to provide a protocol for identification and characterization of isolates using Randomly Amplified Polymorphic DNA (RAPD) technique. The genomic DNA was compared using 40 random decamer primers (Operon Technologies Inc., U.S.A.) that generated 554 bands; out of which 549 were polymorphic products. Genetic similarities of RAPD profiles were estimated on the basis of Jaccard’s coefficient. The similarity index values ranged from 0.474 to 0.906 indicating the presence of wide range of genetic diversity. These similarity coefficients were subjected to Unweighted Pair Group Method on Arithmetic Averages (UPGMA) using paired matrix values. The dendrogram generated consisted of 2 major clusters, one having all isolates of B. sorokiniana, and other cluster having isolates of B. specifera, B. tetramera and B. maydis which were further distinguishable from each other by falling into different sub-groups. The banding pattern of different isolates can also be used as reference for further comparisons.
Comprehensive Telestroke Network to Optimize Health Care Delivery for Cerebrovascular Diseases: Algorithm Development

Background Health care delivery for cerebrovascular diseases is a complex process, which may be improved using telestroke networks. Objective The purpose of this work was to establish and implement a protocol for the management of patients with acute stroke symptoms according to the available treatment alternatives at the initial point of care and the transfer possibilities. Methods The review board of our institutions approved this work. The protocol was based on the latest guidelines of the American Heart Association and American Stroke Association. Stroke care requires human and technological resources, which may differ according to the patient’s point of entry into the health care system. Three health care settings were identified to define the appropriate protocols: primary health care setting, intermediate health care setting, and advanced health care setting. Results A user-friendly web-based telestroke solution was developed. The predictors, scales, and scores implemented in this system allowed the assessment of the vascular insult severity and neurological status of the patient. The total number of possible pathways implemented was as follows: 10 in the primary health care setting, 39 in the intermediate health care setting, and 1162 in the advanced health care setting. Conclusions The developed comprehensive telestroke platform is the first stage in optimizing health care delivery for patients with stroke symptoms, regardless of the entry point into the emergency network, in both urban and rural regions. This system supports health care personnel by providing adequate inpatient stroke care and facilitating the prompt transfer of patients to a more appropriate health care setting if necessary, especially for patients with acute ischemic stroke within the therapeutic window who are candidates for reperfusion therapies, ultimately contributing to mitigating the mortality and morbidity associated with stroke.
Dynamic Response of the Fluid Mud to a Tropical Storm

Fluidmud(FM)isauniquesedimentaryfeatureinhigh‐turbidityestuaries,whereitcanmake a rapid contribution to morphodynamics. Insufﬁcient ﬁeld measurements and ﬁxed‐point monitoring lead to deﬁcient understandings of the formation, transport, and breakdown of the FM under extreme weather conditions. A ﬁeld survey was conducted in the Changjiang Estuary during the period of turbidity maximum, just after Typhoon Haikui. The measurements captured the formation of the FM beneath the suspended layers, particularly around the lower reach of the North Passage. The thickness of the observed FM gradually decreased landward along the channel, with the maximum value reaching ~0.9 m. The major features of the observed storm‐induced FM were simulated using the Finite‐Volume Community Ocean Model. The results indicated that the initial appearance of the FM was the result of a typhoon‐intensiﬁed, salinity‐induced stratiﬁcation in the outlet region. The subsequent landward propagation of the FM was driven by the combined effects of the FM‐induced mud surface pressure gradient force and saltwater intrusion near the bottom. Weak mixing during the subsequent neap tidal period sustained the FM as it rapidly extended into the middle region of the North Passage. This produced a large velocity shear at the interface of the FM and upper suspension layer, increasing the entrainment from the FM to the upper suspensionlayer.Asaresultoftheincreasedtidalmixing,theFMweakenedandthen ﬁnallybrokedownin the subsequent spring tidal period.
History of Bullying and Victimisation Behaviour of Children with Language Disorders and Maternal Burden

ABSTRACT Language disorders may negatively aﬀect children’s behaviour and the maternal burden situation. This recent study examines the history of bullying and victimisation behaviour of children with language disorders and maternal burden in comparison to a reference group of typically developed peers. We measured the bullying and victimisation behaviour and maternal burden of a sample of N= 81 children with and without language disorders and their mothers at two measurement times. The results indicate that mothers of children with language disorders demonstrated high levels of burden, and the children are at higher risk of being victimised and involved in bullying as perpetrators. Furthermore, the maternal burden situation and children’s behavioural problems decrease over time. From a long-term perspective, it seems important to identify children’s behavioural problems and parental causes of stress to successfully support the entire family.
FashionCapsNet: Clothing Classification with Capsule Networks

Konvolusyonel Sinir Aglari (KSA) gorsel iliskili derin ogrenme calismalarinda en sik kullanilan mimarilerden biridir. Popularitesine ragmen, KSA’lar ortaklama islemi yuzunden konumsal bilgi kaybi ve afin donusumlerine dayanikli olmama gibi bazi yerlesik sinirlamalara sahiptir. Ote yandan, gruplanmis noronlardan olusan Kapsul Aglari, ozgun yonlendirme algoritmalarinin yardimiyla, nesnenin yuksek boyutlu poz konfigurasyonunu da ogrenme kapasitesine sahiptir. Bu calismada dinamik yonlendirme algoritmasini kullanan Kapsul Aglari’nin kiyafet siniflandirma performansini inceledik. Bu amacla, arka arkaya yerlestirilmis 4 Konvolusyonel katmanli bir Kapsul Ag mimarisi (FashionCapsNet) onerdik, ve bu modeli 46 kategoriye ayrilmis 290 bin kiyafet resmi iceren DeepFashion adli veri seti ile egittik. Akabinde, modelimizin ve DeepFashion veri seti ile egitilmis CNN tabanli en gelismis metotlarin kategori siniflandirma sonuclarini karsilastirdik. Calismamizin sonucunda, FashionCapsNet, kiyafet siniflandirma icin %83,81’lik en yuksek-3 basarim orani ve %89,83’luk en yuksek-5 basarim orani sonuclarini elde etmistir. Bu rakamlara dayanarak, FashionCapsNet, poz konfigurasyonunu ihmal eden eski metotlari acik bir sekilde geride birakmistir, ve poz konfigurasyonunu belirgin nokta bilgisinden faydalanarak telafi eden referans calismasiyla benzer bir performans gostermistir. Son olarak, gorece yeni olan Kapsul Aglari uzerine yapilacak arastirmalardaki gelismeler sayesinde, onerdigimiz bu modelin (FashionCapsNet) kiyafet siniflandirma performansinda ekstra bir artis gozlemlenebilir.
Does nocturnal activity prolong gecko longevity?

The majority of lizard clades are ancestrally and predominantly diurnal. The only major taxon in which most species are nocturnal is the Gekkota (geckos and pygopodids). As ectothermic thermoregulators, lizard metabolic rates are highly temperature dependent, and diurnal lizards therefore demonstrate higher metabolic rates than nocturnal ones. Furthermore, exposure to solar radiation is thought to reduce ectothermic longevity by increasing both metabolic costs and the rate of accumulating harmful mutations through UV radiation (UVC specifically). In being nocturnal, ectothermic species may reduce their intrinsic mortality rates and thus live longer. To test this hypothesis, we collected literature data on the maximum longevities of 740 lizard species, of which 185 are geckos. We examined whether geckos live longer than other lizards, and whether activity time affects gecko longevity. While geckos live relatively long for lizards of their size, their activity time was found to be unrelated to longevity, contradicting our predictions. We suggest that diurnal species may have evolved higher resistance to UV radiation via thicker, more keratinized skin. Elevated metabolic rates do not automatically equate with faster aging. Mortality through extrinsic causes (e.g., predation) may impose much stronger selective pressures than intrinsic causes.
Nutritional composition, metabolizability coefficients and use of passion fruit pulp waste in the diet of meat quail

Two experiments were undertaken to evaluate the chemical composition and metabolizability coefficient of passion fruit pulp waste and its effect on the production performance of meat quail when included in their diet at different levels. In experiment I, a metabolism trial was conducted as a completely randomized design (CRD) involving 90 meat quail that received one of two treatments (control diet and test diet), with five replicates and nine birds per plot. To determine the metabolizability coefficients, the total collection method was performed from 18 to 21 days of age. In experiment II, 225 European quail were allotted to one of five treatments (0, 3, 6, 9 and 12% inclusion of passion fruit pulp waste) in a CRD with five replicates and nine birds per experimental unit. No significant differences were observed (p > 0.05) for weight gain, feed intake, feed conversion or carcass yield between the different waste inclusion levels. The nutritional composition of the waste was 2,925.75 kcal AME/kg, 2,922.09 kcal AMEn/kg, 20.86% ether extract and 10.72% crude protein. Passion fruit pulp waste can be included up to 12% in the diet of meat quail from one to 42 days of age without affecting their production performance or carcass characteristics, and its use is economically viable.
Efficient implementation of mixed‐precision multiply‐accumulator unit for AI algorithms

Many of the modern deep learning, machine learning, and artificial intelligence algorithms use adders, multipliers, and multiply‐accumulators (MACs) with mixed precisions. In general, fixed‐point and floating‐point adders, multipliers, and MACs are used in mixed‐precision hardware, such that the above algorithm can choose appropriate hardware for its processing. This paper proposes an efficient mixed‐precision MAC circuit that can perform fixed‐point and floating‐point operations. The proposed design uses Han‐Carlson adder with late carry or end‐around carry in its accumulator design; as a result, delay and energy of the circuit reduce by 21.46% and 22.54% respectively, when compared with the existing designs from the literature.
Correcting Bias in Perceptions of Public Opinion Among American Elected Officials: Results from Two Field Experiments

Abstract While concerns about the public's receptivity to factual information are widespread, much less attention has been paid to the factual receptivity, or lack thereof, of elected officials. Recent survey research has made clear that US legislators and legislative staff systematically misperceive their constituents' opinions on salient public policies. This study reports the results from two field experiments designed to correct misperceptions of sitting US legislators. The legislators (n = 2,346) were invited to access a dashboard of constituent opinion generated using the 2016 Cooperative Congressional Election Study. Despite extensive outreach efforts, only 11 per cent accessed the information in Study 1 and only 2.3 per cent did so in Study 2. More troubling for democratic norms, legislators who accessed constituent opinion data were no more accurate at perceiving their constituents' opinions. The findings underscore the challenges confronting efforts to improve the accuracy of elected officials' perceptions and suggest that elected officials may indeed resist factual information.