Miracle-dz/UniFAR-FTUs huggingface dataset:
The influence of general cognitive training on sport-specific performance in wheelchair basketball

Perceptual-cognitive skills are predominantly thought to be domain-specific, resulting from domain-specific practice, and therefore specific to each sport (Helsen & Starkes, 1999; Mann et al., 2007; Nuri et al., 2013; Schapschroer et al., 2016). However, proponents of general cognitive training (GCT) propose that use of non-domain-specific programs can benefit athlete performance. The purpose of this study was to test a GCT program on sport-specific perceptual-cognitive and physical skills in elite level athletes with physical disabilities. Twelve senior high performance and National Academy athletes (23.8 years, ±3.6; 33% female) were recruited from Wheelchair Basketball Canada to participate in a pre- vs. post-test intervention study for 6-weeks. Athletes were tested on sport-specific cognitive skill (i.e., pattern recall), and sport-specific physical performance measures before and after a 4-week, multiple object tracking (MOT; 3 sessions/week) intervention. Average pattern-recall error comparisons showed an increase after the MOT intervention (? = -0.17cm, p = 0.05, dz = 0.62), suggesting decreased accuracy from pre- to post-test. Other pre- to post-test results were not statistically significant. Moderation analysis suggests that changes in on-court performance from pre-to-post were influenced by level of MOT performance (b = 0.65, 95% CI [0.070, 1.22], t = 2.58, p = 0.032), with greater MOT performance associated with improved on-court performance measures from pre-to-post. This study adds to the limited research on elite athletes with physical disabilities (Dehghansai et al., 2016); however, further research with adequate control groups, is needed to test the efficacy and utility of GCT programs on sport performance.
Mapping oak decline through long-term analysis of time series of satellite images in the forests of Malekshahi, Iran

ABSTRACT The Zagros Mountains forests extend across 11 provinces in Iran and constitute approximately 40.0% of the country’s woodlands. These forests have important soil conservation and water regulation functions. Over the last decade, these forests have been declining in oak populations in many places, triggered by factors such as drought, pathogens like the fungus Biscogniauxia mediterranea, and pests such as borer beetles. Mapping the regions that show such a decline is the first step to addressing and managing the risks posed by this environmental calamity. In this research, we focus on the forests surrounding Malekshahi city in the Ilam province of Iran. Using Landsat data from the years 2000 to 2016, we determined the spatial distribution of oak decline in the region. After applying a forest/non-forest classification, appropriate spectral indices including Enhanced Vegetation Index (EVI), Normalized Difference Vegetation Index (NDVI) and Normalized Difference Water Index (NDWI) were selected. Together with ground truth data, two regression methods (linear regression and support vector regression (SVR)) were used to model the decline score of each pixel based on the slope of variation of selected spectral indices during the observed 17 years. The oak forests were then classified into four categories: healthy forests, low-severity-declined forests, mid-severity declined forests, and high-severity declined forests, based on the respective estimated decline scores. SVR mapped different severities of oak decline with an overall accuracy of 51%, which appears to be due to the dependency of the method on the time of decline during the 17-year timeframe. However, in a binary classification mode – meaning classifying decline score to be either ‘Healthy’ or ‘decline’ – both regression methods were able to detect declined pixels with a producer’s accuracy of 100%.
Stellar activity of planetary host star HD 189 733

Aims. Extra-solar planet search programs require high-precision velocity measurements. They need to determine how to differentiate between radial-velocity variations due to Doppler motion and the noise induced by stellar activity. Methods. We monitored the active K2V star HD 189733 and its transiting planetary companion, which has a 2.2-day orbital period. We used the high-resolution spectograph SOPHIE mounted on the 1.93-m telescope at the Observatoire de Haute-Provence to obtain 55 spectra of HD 189733 over nearly two months. We refined the HD 189733b orbit parameters and placed limits on both the eccentricity and long-term velocity gradient. After subtracting the orbital motion of the planet, we compared the variability in spectroscopic activity indices with the evolution in the radial-velocity residuals and the shape of spectral lines. Results. The radial velocity, the spectral-line profile, and the acti vity indices measured in He I (5875.62 A), Hα (6562.81 A), and both of the Ca II H&K lines (3968.47 A and 3933.66 A, respectively) exhibit a periodicity close to the stellar-rotation pe riod and the correlations between them are consistent with a spotted stellar surface in rotation. We used these correlations to corr ect for the radialvelocity jitter due to stellar activity. This results in ach ieving high precision in measuring the orbital parameters, with a semi-amplitude ◦ .
THE EFFECTS OF SERVICE QUALITY, CUSTOMER SATISFACTION, TRUST, AND PERCEIVED VALUE TOWARDS CUSTOMER LOYALTY

This purpose of the research is to examine the effects of service quality, customer satisfaction, trust, and perceived value towards customer loyalty in KJKS BMT Bondho Tumoto Semarang. The sample was taken by using incidental sampling techniques and it had 98 customers. The data was analyzed by multiple linier regressions. Test results in partial show that service quality, trust and perceived value gave positive and significant effect towards customers loyalty. In contrast, customer satisfaction did not have significant effect towards customers loyalty. Then, simultaneous testing show that service quality, customer satisfaction, trust and perceived value gave significant effects towards customers loyalty. This study found that from those variables, trust variable gave the biggest effect towards customers loyalty.
Steady streaming confined between three-dimensional wavy surfaces

We present a theoretical and numerical study of three-dimensional pulsatile confined flow between two rigid horizontal surfaces separated by an average gap h, and having three-dimensional wavy shapes with arbitrary amplitude σh where σ ~ O(1), but long-wavelength variations λ, with h/λ ≪ 1. We are interested in pulsating flows with moderate inertial effect arising from the Reynolds stress due to the cavity non-parallelism. We analyse the inertial steady-streaming and the second harmonic flows in a lubrication approximation. The dependence of the three-dimensional velocity field in the transverse direction is analytically obtained for arbitrary Womersley numbers and possibly overlapping Stokes layers. The horizontal dependence of the flow is solved numerically by computing the first two pressure fields of an asymptotic expansion in the small inertial limit. We study the variations of the flow structure with the amplitude, the channel's wavelength and the Womersley number for various families of three-dimensional channels. The steady-streaming flow field in the horizontal plane exhibits a quadrupolar vortex, the size of which is adjusted to the cavity wavelength. When increasing the wall amplitude, the wavelengths characterizing the channel or the Womersley number, we find higher-order harmonic flow structures, the origin of which can either be inertially driven or geometrically induced. When some of the channel symmetries are broken, a steady-streaming current appears which has a quadratic dependence on the pressure drop, the amplitude of which is linked to the Womersley number.
Physical characteristics of very small meteoroids

We have optically recorded faint meteors using a large aperture LLLTV (low light level television) system based on second generation image intensifiers. These data consist of 42 two-station meteors of which 13 were captured during an observing campaign near London, Ontario (Canada) in May 2004, and 29 during a campaign near Kiruna (Sweden) in October 2007. Among 13 meteors recorded in the London campaign, where the baseline between the two sites was 5 km, only four meteors satisfied our requirement for complete lightcurves and deceleration profiles by starting in the field of view, of at least one station and also ending in the field of view of at least one station. From the second set of 29 meteors captured in Sweden, with a baseline of 117.7 km, only two satisfied these criteria. The cameras used in both campaigns had fields of view of 6 degrees, which with an assumed range of 100 km, gives a scale of 13 m/pixel at ∼60 interlaced fields per second. This resolution allows precise measurement of the deceleration of very faint meteors. The limiting magnitude for meteors on these systems is near V =+ 8, while +11th magnitude stars are visible in the individual fields. The meteors detected in these two campaigns have peak brightnesses between absolute magnitude +6.2 and +7.4. Their photometric masses range from 4.2 mg to 0.35 mg. An ablation model was applied to fit each complete two-station event using the high-precision metric and photometric data as a constraint, in an attempt to compute bulk meteoroid densities. Interestingly, a large proportion of our faint meteor events were found to ablate at low altitudes, a result partly of our observing biases. The orbits of these events are consistent with either asteroidal or a Jupiter-family comet origin. The meteoroids’ physical properties, as determined through model fits, suggest high densities, which favors an asteroidal interpretation. The high percentage of apparently dense asteroidal meteoroids at these small sizes may call into question earlier findings that only ∼1% of meteoroids at these masses are asteroidal in origin. Our results are similar to others that find ∼15% of faint TV meteors had spectra consistent with pure iron meteoroids. We find that many of these apparently asteroidal objects also undergo extensive fragmentation, which may reflect melting and spraying of droplets rather than mechanical fragmentation. Some individual cases in our small dataset will be highlighted where high bulk densities (approaching that of iron) are required to adequately match the end height, peak brightness, and observed deceleration. We speculate that these meteoroids may represent metallic condensates from impact-processed asteroid regolith.
SUSTAINABLE SUPPLY CHAIN MANAGEMENT IN GERMAN AUTOMOTIVE INDUSTRY: EXPERIENCES AND SUCCESS FACTORS

Climate change and environmental aspects are key issues on public agenda. Governments and politicians try to implement new regulations and limits to reduce the environmental burden of the industries around the globe. However, success can be seen only to a limited extend in many areas. On the other hand some industrial sectors themselves start to think about solutions to handle the big impacts. Some pioneers in this field discovered already also the competitive and economic advantage of implementing so called green and sustainable solutions in their business. This includes production, manufacturing and transport activities but also ways how to manage and monitor such activities from an eco-friendly perspective. This paper will give an overview of the implication of green logistics along the supply chain in regard to the automotive industry including supply companies from SME sector and will demonstrate the application of this issue. For that an example of the European market leader Volkswagen AG in Germany is chosen and analyzed in the case description.
Does Childhood Physical Punishment Predispose to a "Victim

Background: In a previous study, victimization to childhood physical punishment (CPP) was found to be a risk factor for becoming also a victim of school bullying. This finding was replicated and investigated further in two separate studies with adolescents as subjects. Study I: Finnish adolescents (N=1,247, 611 girls, 636 boys; M age=14.0, SD=0.9 yrs) served as subjects in a quantitative self report survey. A relationship was found between CPP and victimization to both traditional bullying and cyber aggression, but also between CPP and perpetration of cyber aggression. The finding prompted the need to include measures of perpetration of traditional school aggression into the study design. Study II: In a follow-up survey (N=620, 296 girls, 324 boys; M age=13.1, SD=1.6 yrs), CPP was found to correlate with victimization to all measured forms of school aggression (physical, verbal, indirect, cyber), but also with perpetration of all of these. Discussion: The results suggest that CPP may predispose to not only victimization but also to perpetration of school aggression. Different trajectories and intervening variables need to be investigated in future research.
Coronal Proerties of the Seyfert 1 Galaxy 3C 120 with NuSTAR

We present a measurement of the cut-off energy, a proxy for the temperature of the corona in the nuclear continuum of the Seyfert 1 galaxy 3C 120 using ∼120 ks of observation from NuSTAR. The quality broadband spectrum from 3–79 keV enabled us to measure the Compton reflection component (R) and to constrain the temperature of the coronal plasma. Fitting one of the advanced Comptonization models, compPS, to the observed broadband spectrum, we derived the kinetic temperature of the electrons in the corona to be kTe = 25 ± 2 keV with a Compton y parameter of y = 2.2 ± 0.1 for a slab geometry and keV with a y of assuming a spherical geometry. We noticed excess emission from ∼10–35 keV arising due to Compton reflection and a broad Fe Kα line at 6.43 keV with an equivalent width of 60 ± 5 eV. The variations in count rates in the soft (3–10 keV) band are found to be larger compared to the hard (10–79 keV) band, with mean fractional variability amplitudes of 0.065 ± 0.002 and 0.052 ± 0.003 for the soft and hard bands respectively. 3C 120 is known to have a strong jet; however, our results indicate that it is either dormant or its contribution, if any, to the X-ray emission is negligible during the epoch of NuSTAR observation.
An econometric analysis of Engel's curve: the case of peasant households in Northern Tanzania

A number of studies have explored the empirical relevance of the Engel’s law by using household budget surveys in developed and developing countries. This article presents empirical evidence on the applicability of the Engel’ law in Tanzania. The analysis is bases on a micro – survey data of peasant households in Northern Tanzania. Both statistical and econometric analyses demonstrate that household size and income significantly and positively determine expenditure on food and some other consumption items, depending on the area of the study. The age of the household is established to have no significant influence on expenditure on food, but only on other consumption items investigated. The study has also established that education has no significant influence on any expenditure items of the sampled households.
Molecular composition of organic aerosols in central Amazonia: An ultra-high-resolution mass spectrometry study

Abstract. The Amazon Basin plays key role in atmospheric chemistry, biodiversity and climate change. In this study we applied nanoelectrospray (nanoESI) ultra-high-resolution mass spectrometry (UHRMS) for the analysis of the organic fraction of PM2.5 aerosol samples collected during dry and wet seasons at a site in central Amazonia receiving background air masses, biomass burning and urban pollution. Comprehensive mass spectral data evaluation methods (e.g. Kendrick mass defect, Van Krevelen diagrams, carbon oxidation state and aromaticity equivalent) were used to identify compound classes and mass distributions of the detected species. Nitrogen- and/or sulfur-containing organic species contributed up to 60 % of the total identified number of formulae. A large number of molecular formulae in organic aerosol (OA) were attributed to later-generation nitrogen- and sulfur-containing oxidation products, suggesting that OA composition is affected by biomass burning and other, potentially anthropogenic, sources. Isoprene-derived organosulfate (IEPOX-OS) was found to be the most dominant ion in most of the analysed samples and strongly followed the concentration trends of the gas-phase anthropogenic tracers confirming its mixed anthropogenic–biogenic origin. The presence of oxidised aromatic and nitro-aromatic compounds in the samples suggested a strong influence from biomass burning especially during the dry period. Aerosol samples from the dry period and under enhanced biomass burning conditions contained a large number of molecules with high carbon oxidation state and an increased number of aromatic compounds compared to that from the wet period. The results of this work demonstrate that the studied site is influenced not only by biogenic emissions from the forest but also by biomass burning and potentially other anthropogenic emissions from the neighbouring urban environments.
Normalization of gene expression data using support vector machine approach

Normalization of gene expression data refers the process of minimizing non biological variation in measured probe intensity levels so that biological differences in gene expression can be appropriately detected. Several linear normalization within arrays approaches has already been proposed. Recently, use of non-linear methods has been gained quite attention. In this study, our objective is to formulate non-linear normalization methods using support vector regression (SVR) and support vector machine quantile regression (SVMQR) approaches, more easier way and, assess the consistency of these methods with respect to other standard normalization methods for further application in gene expression data. SVR and SVMQR normalization methods have been implemented and their performance have been evaluated with respect to other standard normalization methods namely, locally weighted scatter plot smoothing and Kernel regression. It has been found that the normalized data based on proposed methods are capable of producing minimum variances within replicate groups and also able to detect truly expressible significant genes with respect to above mentioned other normalized data.
Language awareness issues and teachers' beliefs about language learning in a Greek EFL context

The present study aimed at investigating the role of language awareness from the teachers’ perspective as well as its relationship with other aspects of EFL teacher knowledge. The study was designed and conducted with the aim of providing an account of the issues related to EFL teachers’ language awareness and their beliefs about how students learn a foreign language. Questionnaires were distributed to a total of 150 EFL teachers employed in public primary and secondary schools in Northern Greece. The findings indicated that the participants were conscious to a certain degree of the need for raising language awareness in the EFL classroom and developing students’ language learning strategies.
The Internet, Bank Structure and Small Business Lending

The advent of the Internet has opened many opportunities for bankers to access new customers, increase convenience and expand product ranges in many markets, including that of small businesses. Yet anecdotal evidence reveals that smaller banks are reluctant to employ Internet technology in the small business market for fear of damaging the customer relationship developed through personal contact. These smaller, more simply structured banks tend to specialize in small business lending, possessing a comparative advantage in that market (Craig and Hardee, 2001). This is particularly so in relationship driven credits where personal knowledge of the borrower is paramount over financial ratios produced through credit scoring models (Berger and Udell, 1995, 1994). However, with technological advances, large banks have captured a greater share of the small business loan market (Ely and Robinson, 2001; Mester, 1997). Furthermore, large complex financial institutions have made greater inroads in establishing an Internet presence on the World Wide Web and have the most ambitious online banking agendas (Furst, Lang and Nolle, 2000). Within the financial services industry consolidations are ongoing and information technologies rapidly improve. The result is much larger, complex banks participating more in small business lending (SBL) relative to the fewer small, simply structured onesâ€”in contrast to what older evidence reveals (Ely and Robinson, 2001). Consequently, the purpose of this paper is to determine if, with advanced technologies along with the changing face of the industry, bank structure continues to impact SBL; and if specifically Internet banking â€œlevels the playing fieldâ€ in that market. We define an Internet bank as any commercial bank maintaining a World Wide Web site on which banking transactions may be conducted electronically. These range from basic Internet services such as account inquiries to total financial management of a customer? s assets.
Correlations between Two Alkali Extractable Amino-Nitrogen Tests and Response to Organic Fertilizer in Turfgrass Soils

The Illinois soil nitrogen (N) test (ISNT) and the Solvita Labile Amino-Nitrogen (SLAN) test are chemical analyses that estimate the concentrations of soil labile N. The SLAN uses the same reagent as the ISNT but is a relatively new test with limited field data available. This study was conducted across 6 yr (2008–2013) to determine if concentrations of SLAN–N and ISNT–N are correlated in soils under predominantly Kentucky bluegrass (Poa pratensis L.) and tall fescue [Schedonorus arundinaceus (Schreb.) Dumort. ] lawn turf and to compare the response of SLAN–N and ISNT–N concentrations in relation to varying organic fertilizer rates. Separate randomized complete block field experiments were established in Connecticut on the two species with varying rates of an organic fertilizer to create a wide range of labile soil N concentrations. Soil samples were collected in the spring of each year and analyzed for concentrations of ISNT–N and SLAN–N. For all years and each species, and for pooled years and species, SLAN–N concentrations were positively and significantly (P 0.80) at Year 6 of the study. Furthermore, SLAN–N and ISNT–N concentrations increased linearly (P < 0.05) in response to organic fertilizer rate, but the rate of change was greater for ISNT–N. The data suggest that the SLAN test is generally well correlated with the ISNT and may offer an easy and rapid soil analysis to guide N fertilization.
A study of the relationship between student achievement and home socialization

The purpose o f this study was to examine the relationship between student achievement and home socialization. Specifically, it explored the influence of cognitive and academic home socialization variables on the achievement o f seventhand twelfth-grade students. It further explored the influence of cognitive and academic subvariables on student achievement. The cognitive home socialization subvariables were stimulating literacy environment and joint learning activities. The academic home socialization subvariables were expectations and attitudes and values and behaviors. The population consisted of parents of seventhand twelfth-grade students from a small, rural, predominantly African-American school division in Central Virginia. One hundred twenty-five parents were surveyed using a modified version of the Henderson Environmental Learning Process Scale (HELPS) developed by Ronald Henderson in 1972. The data were correlated with the Virginia SOL English: Reading/Literature-Research (RLR) test data and the Stanford Achievement Tests, Ninth Edition (SAT 9) Partial/Basic Battery tests data. The study addressed the following research questions: 1. Does the cognitive home socialization of children relate to student achievement? 2. Does the academic home socialization of children relate to student achievement?