There is no research examining female bandy players, which creates a gap of knowledge of female skating performance and its determinants with male skating performance, not only in bandy but also in exercise science in general. Therefore, the aim of this explorative study was to investigate position and playing-level differences in the sprint skating performance and anthropometrics of 74 elite female bandy players (age: 18.9 ± 4.1 years; height: 1.67 ± 0.06 m; body mass: 63.2 ± 7.4 kg). Participants were categorised according to playing level (26 elite and 48 junior elite players) and position (22 defenders, 35 midfielders, and 17 forwards). They were tested on their anthropometric characteristics and sprint linear skating profile over 80 m with the split times measured at 10, 20, 40, 50, 60, 70, and 80 m to calculate the average velocities between these different 10 m intervals. Results revealed that elite players had more training experience, were heavier, could accelerate faster, and reached a higher maximal velocity than the junior elite players (9.52 ± 0.37 vs 8.84 ± 0.40 m/s, respectively). In general, defenders were heavier than forwards, and the elite forwards accelerated faster in the first 10 m than the midfielders (p = 0.041). In summary, playing level and position, body mass, and training experience modulated skating sprint performance. The findings suggest that female junior-level players should spend more time developing skating sprint and acceleration abilities to meet the specific demands of playing at the elite level. Moreover, the coaches and professionals who work with female bandy players should be aware that the development of acceleration ability is more important for forwards.

To achieve optimal robot behavior in dynamic scenarios we need to consider complex dynamics in a predictive manner. In the vehicle dynamics community, it is well know that to achieve time-optimal driving on low surface, the vehicle should utilize drifting. Hence many authors have devised rules to split circuits and employ drifting on some segments. These rules are suboptimal and do not generalize to arbitrary circuit shapes (e.g., S-like curves). So, the question"When to go into which mode and how to drive in it?"remains unanswered. To choose the suitable mode (discrete decision), the algorithm needs information about the feasibility of the continuous motion in that mode. This makes it a class of Task and Motion Planning (TAMP) problems, which are known to be hard to solve optimally in real-time. In the AI planning community, search methods are commonly used. However, they cannot be directly applied to TAMP problems due to the continuous component. Here, we present a search-based method that effectively solves this problem and efficiently searches in a highly dimensional state space with nonlinear and unstable dynamics. The space of the possible trajectories is explored by sampling different combinations of motion primitives guided by the search. Our approach allows to use multiple locally approximated models to generate motion primitives (e.g., learned models of drifting) and effectively simplify the problem without losing accuracy. The algorithm performance is evaluated in simulated driving on a mixed-track with segments of different curvatures (right and left). Our code is available at https://git.io/JenvB

Here, from macrophylogeographic mtDNA empirical data, we propose a scenario for the evolution and speciation of two important forest trees, European black pine and Scotch pine, and their multiple subspecies and varieties. Molecular clock simulations revealed that INDEL variability in the Pinus mitochondrial genome is relatively old, i.e., from the Pliocene-Miocene epoch, and related to historical tectonic continental fluctuations rather than to climate change at a large geographic scale. For conservation and management biodiversity program recommendations, special attention is given to the relationships between different speciation models, historical migration patterns, and differences between peripheral and central populations. Species evolution involves the mixing of different speciation modes, and every speciation mode has different effects on different DNA types (e.g., mitochondrial vs. chloroplast vs. nuclear DNA). The misbalance between the contributions of different meta-population census sizes vs. effective population sizes to asymmetric migration patterns is the result of different genotypes (and subphylogenetic lines) responding to selection pressure and adaptive evolution. We propose initial minimal size of conservation unit (between 3 and 5 ha) from central and marginal natural area of distribution for both species in the dynamic management system for practical forest genetic diversity management. The proposed physical sizes were determined by the effective population size, effective radius of seed distribution data, forest density age dynamics, succession pattern, natural selection pressing and species biology [R-17].

Background: Long jump are cyclic-acyclic movements of maximum intensity. It is a discipline that combines speed and jump in technique, that is, the speed-strength properties of competitors. Speed, agility and explosiveness are of special importance in jumpers. The main goal of the research is to determine the influence of Body height (BH) and Body weight (BW) with the best achieved results of Long jump. Material and methods: In study included 21 top male jumpers (BH=184.19±4.68cm; BW=78.86±6.81kg). Their achieved best results were analyzed. Pearson correlation coefficient was used to determine the relationship between body height and body weight and the results of long jumpers. Univariate model of regression analysis was applied and the relevant coefficients were calculated. The level of acceptance of statistical significance was set to p<0.05. Results: Simple regression analysis did not show a statistically significant effect of Body height on the results in the long jump (BH vs. Long jump R=0.183; p>0.05), while Body weight confirmed a significant inverse relationship with the results of the jump (BW vs. Long jump R= - 0.442; p<0.05). Conclusion: Long jumpers contain a large percentage of active muscle mass that integrates and generates motor explosive abilities for the success of long jumpers, primarily strength and speed, which is confirmed by the results of the study. However, a good jump technique is also necessary, but with optimal body weight, because any increase in weight has a negative effect on the length of the long jump.

Strontium (Sr) and sodium (Na) are the most used modifiers in the aluminum casting industry. Both lose their concentration (fade) during holding in the melting furnace. Three types of chemical reactions in the melt may cause modifier fading: vaporizing, oxidizing, or reacting with some other elements from the melt. Due to Na and Sr’s very low vapor pressure, their vaporization from the aluminum melt was excluded as a reason for the modifiers’ fading. Oxidation looks like the major chemical reaction that causes the fading of Na and Sr from an aluminum melt. The present paper aimed to quantify the fading of Na and Sr in an Al–Si–Cu–Mg alloy. The loss of modifiers (Na and Sr) during melt holding in a furnace can be analytically quantified using equations taken from the literature. The calculated surface reaction rate constant (ks) can estimate the modifier’s loss during melt holding in industrial and laboratory furnaces.

Using the Design of Experiments methodology (Response-Surface Methodology and Derringer's Desirability Function), a simple, fast and robust RP-HPLC method was developed for the analysis of enrofloxacin (EFC), its impurity A (fluoroquinolonic acid, FQ) and impurity B (ciprofloxacin, CPX). Gradient elution of samples was performed on a Zorbax Eclipse XDB C18 column (150 × 4.6 mm, 3.5 μm) with a mobile phase consisting of 32 mM phosphate buffer pH 3.5 – methanol (0 min-19.6% methanol; 15.5 min-19.6% methanol; 29.5 min-80% methanol; 30 min-19.6% methanol; 35 min-19.6% methanol), delivered at a flow rate of 1.5 mL min−1, wavelength of detection 278 nm (for EFX and CFX) and 265 nm for FQ. A good linear response was achieved in the range 15–35 μg mL−1 (EFX) and LOQ-150% for impurities (CFX and FQ). Other validation parameters were also tested: precision, accuracy, sensitivity and robustness. The developed method was shown to be simple, practical and suitable for the analysis of EFC and its impurities (CPX, FQ) in veterinary drugs.

Introduction. Diabetes mellitus represent a global problem in public health, and the incidence of diabetic foot is constantly increasing Patients with diabetes have a tendency to infections, due to previously present neuropathy, vascular insufficiency, as well as neutrophil dysfunction. The most important risk factor is the existence of peripheral neuropathy, and it is present in 30% to 50% of patients with diabetes. The foot becomes sensitive to trauma as a result of sensory, motor and autonomic dysfunction, and there is excessive pressure in the deformed foot, also the development of ischemia. Case  report. A 59-year-ol male patient sought medical help at the Clinic of Emergency Medicine of the Clinical Center in Sarajevo. He had edematous ulcers on the foot of his right leg. On the first day of therapy, the antibiotic amoxicillin + clavulanic acid, 875/125 mf film-coated tablets were included. Ulcerative formation on the injured finger healed relatively slowly in the first five days of therapy, so from the sixth day of therapy, another broad-spectrum antibiotic per os was included, for synergistic effects: metronidazole 500 mg tablets. On the tenth day of the therapy, visible progress was observed in the healing of the injured finger. Ultimately, the treatment of the injured finger was completed routinely and successfully. Conclusion. Identification of risk factors as well as patients’ education is an important prerequisite for the prevention of complications arising from the chronic course of diabetes. Early initiation of treatment, with an adequate multidisciplinary approach, can cure ulcerative, inflammatory diabetic foot, which in our case corresponded to the Wagner-Meggitt classification, superficial ulcer, with a corresponding gradation 1.

Introduction: Knowledge of all safety factors: teamwork, employee satisfaction, work environment, stress awareness, risk perception and attitude are the basis for improving the safety performance of health care providers - health professionals. The aim of the research is to analyze the risk perception of health professionals on aspects of occupational safety in relation to the workplace during the COVID-19 pandemic. Methods: A descriptive cross-sectional study included health professionals of all profiles from the Sarajevo Canton. It was conducted in the period from November to the end of December 2021. Respondents voluntarily and anonymously filled out a survey questionnaire, distributed electronically in the Google forms form. Results: The research included 266 health professionals of all profiles employed in health care institutions at the primary, secondary and tertiary levels of health care. Conclusion: The concept of risk perception of health professionals in a pandemic should be viewed as a group rather than an individual phenomenon.perception

The study on the biosorption of copper ions using raw eggshells as an adsorbent is presented in this paper. The influence of different process parameters, such as: initial pH value of the solution, initial Cu2+ ions concentration, initial mass of the adsorbent, and stirring rate, on the biosorption capacity was evaluated. The SEM-EDS analysis was performed before and after the biosorption process. SEM micrographs indicate a change in the morphology of the sample after the biosorption process. The obtained EDS spectra indicated that K, Ca, and Mg were possibly exchanged with Cu2+ ions during the biosorption process. The equilibrium analysis showed that the Langmuir isotherm model best describes the experimental data. Four kinetic models were used to analyze the experimental data, and the results revealed that the pseudo-first order kinetic model is the best fit for the analyzed data. Calculated thermodynamic data indicated that the biosorption process is spontaneous, and that copper ions are possibly bound to the surface of the eggshells by chemisorption. The biosorption process was optimized using Response Surface Methodology (RSM) based on the Box-Behnken Design (BBD), with the selected factors: adsorbent mass, initial metal ion concentration, and contact time.