Repozytorium Uniwersytetu Śląskiego RE-BUŚ
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Relationship between vertical jump tests and ice-skating performance in junior Polish ice hockey players
Get PDFThe aim of this study was to determine the relationships between vertical jumps (VJ) and various on-ice skating performances of junior ice hockey players (n = 19). The three modes of VJ or off-ice measures were countermovement jump with arm swing (CMJ), squat jump (SJ) and depth drop jump (DDJ). The on-ice
skating performance was measured by the skating multistage aerobic test (SMAT), forward and backward
acceleration test, top speed test, and repeated sprint ability (RSA) test. The relationships between the variables were quantified using Pearson’s product-moment correlation. DDJ showed a significant positive correlation with forward average skating speed (FASS) (r = 0.62) and strong correlations with backward average skating speed (BASS) (r = 0.81), and maximum skating speed (MSS) (r = 0.71). SJ was found to be strongly correlated with BASS (r = 0.82) and MSS (r = 0.76), whereas the only on-ice performance that significantly correlated with CMJ was BASS (r = 0.68). All three modes of VJ were inversely and non-significantly correlated with performance decrement index and fatigue index, as determined by the RSA test. SMAT was not significantly correlated with either VJ or RSA. Correlations between all three modes of VJ tests were significant. Therefore, this study concludes that: (1) DDJ can be used as a predictor of all the ice skating speed tests, whereas SJ can predict BASS and MSS. CMJ, on the other hand, can predict the performance of only BASS. (2) RSA performance cannot be predicted from CMJ, SJ, or DDJ tests, and (3) neither any of the VJ nor RSA can predict skating endurance of junior ice hockey players
Monitoring the concentrations of Cd, Cu, Pb, Ni, Cr, Zn, Mn and Fe in cultivated Haplic Luvisol soils using near-infrared reflectance spectroscopy and chemometrics
No full textThis study illustrates the successful application of near-infrared reflectance spectroscopy extended with chemometric modeling to profile Cd, Cu, Pb, Ni, Cr, Zn, Mn, and Fe in cultivated and fertilized Haplic Luvisol soils. The partial least-squares regression (PLSR) models were built to predict the elements present in the soil samples at very low contents. A total of 234 soil samples were investigated, and their reflectance spectra were recorded in the spectral range of 1100–2500 nm. The optimal spectral preprocessing was selected among 56 different scenarios considering the root mean squared error of prediction (RMSEP). The partial robust M-regression method (PRM) was used to handle the outlying samples. The most promising models were obtained for estimating the amount of Cu (using PRM) and Pb (using the classic PLS), leading to RMSEP expressed as a percentage of the response range, equal to 9.63% and 11.5%, respectively. The respective coefficients of determination for validation samples were equal to 0.86 and 0.58, respectively. Assuming similar variability of model residuals for the model and test set samples, coefficients of determination for validation samples were 0.94 and 0.89, respectively. Moreover, the favorable PLS models were also built for Zn, Mn, and Fe with coefficients of determinations equal to 0.87, 0.87, and 0.79
Bachelard and Psychoanalysis in Poland / Bachelard et la Psychanalyse en Pologne / Bachelard e la Psicoanalisi in Polonia - [bibliografia]
Get PDFSpis bibliograficzny nt. Bachelard i psychoanaliza w Polsc
Unsupervised Learning in Drug Design from Self-Organization to Deep Chemistry
Get PDFThe availability of computers has brought novel prospects in drug design. Neural networks
(NN) were an early tool that cheminformatics tested for converting data into drugs. However, the
initial interest faded for almost two decades. The recent success of Deep Learning (DL) has inspired a
renaissance of neural networks for their potential application in deep chemistry. DL targets direct
data analysis without any human intervention. Although back-propagation NN is the main algorithm
in the DL that is currently being used, unsupervised learning can be even more efficient. We review
self-organizing maps (SOM) in mapping molecular representations from the 1990s to the current
deep chemistry. We discovered the enormous efficiency of SOM not only for features that could be
expected by humans, but also for those that are not trivial to human chemists. We reviewed the DL
projects in the current literature, especially unsupervised architectures. DL appears to be efficient in
pattern recognition (Deep Face) or chess (Deep Blue). However, an efficient deep chemistry is still
a matter for the future. This is because the availability of measured property data in chemistry is
still limited
The influence of public and corporate insurance law on the application of private international law : selected issues
Get PDFThe regime of obligations arising under insurance relationships, as expressed in Art. 7 of the Rome I Regulation is, however, relatively complex. The criticism seems legitimate of academic authors who quite clearly express their negative attitude to the wording of that provision, calling it a “labyrinth” or even “pandemonium of international law.” As a result of the not particularly transparent nature of that regime, it can be doubted if in all situations the “weaker party” was afforded due protection. Negative answer to that question prompts a search for other solutions which allow to achieve the effect of conflict of laws designation of a law giving effect to the postulate of protecting the weaker party to the insurance relationship. The purpose of the study is to indicate, in the first place, the existing criteria of the division into public law and private law in the context of private international law. The second purpose is to analyze the phenomenon of mutual interpenetration of private and public law in the private international law of insurance contracts. The purpose of considerations was to indicate the mutual interpenetration between EU provisions of public and corporate law, as well as the impact of national provisions of the same type on private international law
Genome Engineering Technology for Durable Disease Resistance: Recent Progress and Future Outlooks for Sustainable Agriculture
Get PDFCrop production worldwide is under pressure from multiple factors, including reductions in available arable land and sources of water, along with the emergence of new pathogens and development of resistance in pre-existing pathogens. In addition, the ever-growing world population has increased the demand for food, which is predicted to increase by more than 100% by 2050. To meet these needs, different techniques have been deployed to produce new cultivars with novel heritable mutations. Although traditional breeding continues to play a vital role in crop improvement, it typically involves long and laborious artificial planting over multiple generations. Recently, the application of innovative genome engineering techniques, particularly CRISPR-Cas9-based systems, has opened up new avenues that offer the prospects of sustainable farming in the modern agricultural industry. In addition, the emergence of novel editing systems has enabled the development of transgene-free non-genetically modified plants, which represent a suitable option for improving desired traits in a range of crop plants. To date, a number of disease-resistant crops have been produced using gene-editing tools, which can make a significant contribution to overcoming disease-related problems. Not only does this directly minimize yield losses but also reduces the reliance on pesticide application, thereby enhancing crop productivity that can meet the globally increasing demand for food. In this review, we describe recent progress in genome engineering techniques, particularly CRISPR-Cas9 systems, in development of disease-resistant crop plants. In addition, we describe the role of CRISPR-Cas9-mediated genome editing in sustainable agriculture
Crystallization of Lanthanide—Ho3+ and Tm3+ Ions Doped Tellurite Glasses
Get PDFIn the presented work, the tellurite glasses TeO2-WO3-ZnO doped with Tm3+ and Ho3+ ions
were prepared by the same glass forming method. X-ray diffraction (XRD) and differential thermal
analysis (DTA) techniques were used to study the effects of the forming technology on the thermal
and structural properties of the fabricated glasses. After controlled crystallization of investigated
glasses, the emission in the VIS- and NIR range was determined. The effect of silver doping on
emission intensity was investigated. The value of the activation energy of the glass crystallization
process was determined, while the Ea value for pure TeO2 glass was much lower than for tellurite
glasses TeO2-WO3-ZnO
Scholarly Potential of the Lviv Interwar Romanist Community
Get PDFThis article presents the scholarly activity of two generations of researchers focusing on Roman law, associated professionally with the Lviv university in the interwar period. First, it shows the attainments of Leon Piniński and Marceli Chlamtacz. Then, it focuses on the attainments of a younger generation of Lviv scholars, including Wacław Osuchowski and Edward Gintowt. The presentation of the activities of these scholars made it possible to demonstrate the scholarly potential of the Lviv interwar Romanist community, which was one of the leading centers of research on Roman law in interwar Poland, if not the most important one
Continental-scale monthly thermal anomalies in Europe during the years 1951-2018 and their occurrence in relation to atmospheric circulation
Get PDFThis study determines the frequency, location and spatial extent of such large-area monthly thermal anomalies, which are referred to in this paper as continental-scale thermal anomalies (CTAs). The research was based on monthly mean air temperature values from 210 weather stations over the 68-year period 1951-2018. A CTA is defined as an anomaly when the monthly mean temperature exceeded the long-term average by at least 2 standard deviations at a minimum of 40 stations. This study attempts to explain the occurrence of such CTAs (negative CTAs- and positive CTAs+) in relation to the circulation conditions over Europe. In the years 1951-2018, there were 16 CTAs- (mainly in winter and autumn) and 25 CTAs+ (predominantly in summer). One manifestation of climate warming is the ever less frequent occurrence of CTAs- and a growing frequency and spatial extent of CTAs+. The immediate cause behind CTAs was the occurrence of characteristic synoptic situations, leading to intensified advection of cold or hot air masses, often driven by radiation factors. The formation of CTAs- was much more often associated with very extensive and long-lasting anticyclonic systems, and that the associated synoptic situations over Europe lasted much longer than in the case of CTAs+