Purpose. To select recommendations on the use of physical culture means for students of future teachers, it is necessary to identify their functional features and genetically determined properties of the nervous system. Purpose: to reveal the relationship between the performance of the nervous system, orthostatic test and professional specialization of students of pedagogical universities. Material and methods. Students from 9 different faculties of Ukraine's leading pedagogical institute took part in the study. The total number of subjects was 841 people. Soon the reactions were determined by the program "Psychodiagnostics". Orthostatic reactions were determined by the results of heart rate in the supine position and in the standing position. An analysis of variance (ANOVA) was performed using Duncan's method to determine the influence of teaching faculty on test performance. A correlation analysis of testing indicators and ranks of faculties was carried out using the Tau-b Kendall method. Results. Students of all experimental faculties were divided into 4 groups according to the number of errors in the choice reaction test based on the results of variance analysis (Duncan method). Faculties were divided into ranks from the first to the fourth. A significant negative correlation of the rank of the faculty according to the indicator of the strength and speed of nervous processes with the heart rate in the standing position (p<0.05) and the difference between the heart rate in the standing and lying positions (p<0.01) was revealed. Conclusions. Physical exercises should be applied according to the professional characteristics and personal inclinations of the students, who were divided into 4 groups according to the indicators of reaction speed and orthostatic test. For students of the faculties of primary education and preschool education (1st group), we recommend using mobile and sports games. For students of humanities and natural sciences faculties (2nd group), any physical exercises that require an average manifestation of all physical qualities are suitable: dances, gymnastics, sports games, martial arts. Students of the Faculty of Arts (3rd group) are suitable for physical exercises that require high concentration of attention for a long time, for example, cyclical exercises. We recommend that students of the Faculty of Physical Education and Sports (4th group) continue to improve in their chosen sport, while also studying other sports.

Recent studies have shown that people who are immunocompromised may inadvertently play a role in spurring the mutations of the virus that create new variants. This is because some immunocompromised individuals remain at risk of getting COVID-19 despite vaccination, experience more severe disease, are susceptible to being chronically infected and remain contagious for longer if they become infected and considering that immunocompromised individuals represent approximately 2% of the overall population, this aspect should be carefully considered. So far, some autoimmune rheumatic disease (ARD) patients with COVID-19 have been treated with antiviral therapies or anti-SARS-CoV-2 antibody products. However, there is no homogeneous approach to these treatment strategies. This issue was addressed within the European Reference Network (ERN) on Rare and Complex Connective Tissue and Musculoskeletal Diseases (ReCONNET) in a discussion among experts and patient's representatives in the context of the rare and complex connective tissue diseases (rCTDs) covered by the Network. ERN ReCONNET is one of the 24 ERNs launched by the European Commission in 2017 with the aim of tackling low prevalence and rare diseases that require highly specialised treatment and promoting concentration of knowledge and resources through virtual networks involving healthcare providers (HCPs) across the European Union (EU). Considering the urgent need to provide guidance not only to the rCTDs community, but also to the whole ARDs community, a multidisciplinary Task Force, including expert clinicians and European Patient Advocacy Group (ePAG) Advocates, was created in the framework of ERN ReCONNET with the aim of developing overarching principles (OP) and points-to-consider (PtC) on a homogenous approach to treat immunocompromised patients with ARDs (with a particular focus on CTDs) affected by COVID-19 using antiviral therapies and anti-SARS-CoV-2 antibody products. The present work reports the final OP and PtC agreed by the Task Force.

Background Computational signal preprocessing is a prerequisite for developing data-driven predictive models for clinical decision support. Thus, identifying the best practices that adhere to clinical principles is critical to ensure transparency and reproducibility to drive clinical adoption. It further fosters reproducible, ethical, and reliable conduct of studies. This procedure is also crucial for setting up a software quality management system to ensure regulatory compliance in developing software as a medical device aimed at early preclinical detection of clinical deterioration. Objective This scoping review focuses on the neonatal intensive care unit setting and summarizes the state-of-the-art computational methods used for preprocessing neonatal clinical physiological signals; these signals are used for the development of machine learning models to predict the risk of adverse outcomes. Methods Five databases (PubMed, Web of Science, Scopus, IEEE, and ACM Digital Library) were searched using a combination of keywords and MeSH (Medical Subject Headings) terms. A total of 3585 papers from 2013 to January 2023 were identified based on the defined search terms and inclusion criteria. After removing duplicates, 2994 (83.51%) papers were screened by title and abstract, and 81 (0.03%) were selected for full-text review. Of these, 52 (64%) were eligible for inclusion in the detailed analysis. Results Of the 52 articles reviewed, 24 (46%) studies focused on diagnostic models, while the remainder (n=28, 54%) focused on prognostic models. The analysis conducted in these studies involved various physiological signals, with electrocardiograms being the most prevalent. Different programming languages were used, with MATLAB and Python being notable. The monitoring and capturing of physiological data used diverse systems, impacting data quality and introducing study heterogeneity. Outcomes of interest included sepsis, apnea, bradycardia, mortality, necrotizing enterocolitis, and hypoxic-ischemic encephalopathy, with some studies analyzing combinations of adverse outcomes. We found a partial or complete lack of transparency in reporting the setting and the methods used for signal preprocessing. This includes reporting methods to handle missing data, segment size for considered analysis, and details regarding the modification of the state-of-the-art methods for physiological signal processing to align with the clinical principles for neonates. Only 7 (13%) of the 52 reviewed studies reported all the recommended preprocessing steps, which could have impacts on the downstream analysis. Conclusions The review found heterogeneity in the techniques used and inconsistent reporting of parameters and procedures used for preprocessing neonatal physiological signals, which is necessary to confirm adherence to clinical and software quality management system practices, usefulness, and choice of best practices. Enhancing transparency in reporting and standardizing procedures will boost study interpretation and reproducibility and expedite clinical adoption, instilling confidence in the research findings and streamlining the translation of research outcomes into clinical practice, ultimately contributing to the advancement of neonatal care and patient outcomes.

Devido à falha dos protocolos de biossegurança nas cooperativas de reciclagem, os separadores de resíduos se expõem a agentes biológicos, como vírus, fungos e bactérias, tornando-se mais susceptíveis a infecções por estes agentes. Este estudo objetivou estudar o risco biológico ao qual estão expostos os cooperados na atividade de triagem/separação dos resíduos recicláveis, avaliando o uso de equipamentos de proteção individual e a ocorrência de acidentes e da prática da higienização das mãos. Para isso, realizou-se um estudo descritivo quantitativo no Estado de Alagoas, nas Cooperativas de Reciclagem de Resíduos COOPREL e COOPLUM. A ocorrência de microrganismos, provenientes do manuseio dos resíduos foi investigada através da coleta de material das mãos dos cooperados, com auxílio de swab, antes e após do processo de higienização habitual, seguida da orientada. O material coletado foi transportado e analisado quanto à presença de bactérias aeróbias e anaeróbias, bolores e leveduras. Após o cultivo e análise microbiológica, verificou-se a presença de microrganismos da família Enterobacreriaceae, bolores e leveduras. Entretanto, a coleta realizada após a higienização orientada houve significativa redução do número de bactérias em 88%; em relação à amostra inicial da coleta antes ou depois da higienizaçao habitual. Referente à presença de bolores e leveduras observou-se uma redução de 37,50%. Logo, este estudo identificou que 54% dos cooperados sofreram acidentes com material perfurocortante nos últimos doze meses, e identificou bactérias da família Enterobacteriaceae nas mãos dos cooperados (56,41%), refletindo além do risco biológico, a exacerbação do risco social representado pelas precárias condições de trabalho.

Copper (II) complexes with commercial antibiotics, amoxicillin (AMX), azithromycin (AZT) and ciprofloxacin (CFL) were synthesized and isolated as solids. Structures of the isolated products were determined by FTIR spectroscopy. Antibacterial activities were determined on reference bacterial strains from the ATCC collection by diffusion technique. The results show that AMX and CFL coordinate Cu (II) ion as bidentate O-donor ligand. AZT coordinates metal center as bidentate NO-donor ligand. A difference in the morphology of antibiotic crystals and the synthesized complexes was found. Complex of Cu (AMX)2 show complete absence of antibacterial activity, while the other com-plexes show the same or even lower activity than the parent ligands.  

Heavy metals represent a very significant group of environmental pollutants because they are potential metabolic inhibitors. Therefore, a study was conducted where the height of the wheat stem, as well as the surface of the leaves in the budding and leafing stages, were examined when contaminated with a mixture of heavy metals in concentrations of 250 and 500 ppm. The aim of the research was to determine the influence of heavy metals on the initial phenophase of wheat varieties Pobeda and Ljiljana. An experiment was carried out in volumetric flasks where two different concentrations of a mixture of heavy metals 250 ppm and 500 ppm were added under controlled conditions.

Proper selection and knowledge of varieties, processing conditions, and the use of selective yeast cultures during alcoholic fermentation have an important influence on the chemical composition of the distillate. In order to examine the influence of the plum variety on the quality of plum brandy, chemical analysis and sensory evaluation of brandies obtained from different varieties were performed. It was established that the characteristics of plum brandy depend primarily on the variety of plums. The best results were shown by brandies from the Moravka and Čačanska lepotica varieties, while the brandy sample from the Stanley variety was somewhat weaker.

Water is an indispensable part of beer and brewing practice, and therefore it is not even possible to imagine a process in which water quality is neglected. For the purposes of this experiment, several different watersamples were collected from available springs. The basis of the experiment was the colored reaction of iodine on starch, which would prove the hydrolysis of starch granules from grains. This leads to the conclusion that the mineral composition, which affects the hardness of the water, does not have a decisive influence on the work of amylolytic enzymes, at least not to the extent that would significantly affect the production process.

Medicinal plants have become an increasing subject of interest worldwide due to the large amount of biologically active substances that have potential beneficial health properties. One of the more interesting popular medicinal plants is hawthorn (Crataegusspp.), a deciduous branched shrub that is increasingly used for health purposes. Various parts of this plant, including berries, flowers and leaves, are rich in nutrients and beneficial bioactive compounds that are effective in the treatment of numerous diseases. Honey is a natural sweetener produced by bees from plant secretions. Known for its nutritional and medicinal values, it gives strength to the body, which is why it is indispensable in the human diet. The combination of these two ingredients represents a significant source of vitamins and minerals in daily use, but also for use in various pharmaceutical and medical purpose. Taking into account all of the above, the aim of the work is to test samples of the mixture of honey and hawthorn in different proportions and determine the physical and chemical characteristics: pH value, electrical conductivity, refractive index, viscosity, water activity, HMF, DPPH. Based on the analysis, appropriate conclusions will be drawn and more information will be obtained about their quality and possible use as a food supplement. On the basis of the conducted analyses, it can be concluded that the parameter values are within the permitted limits defined by the Rulebook (Official Gazette Bosnia and Herzegovina No. 37/09). The analysis of the mentioned parameters showed that the chemical composition of the sample plays a major role in the value of the measurement results, and that Sample III has the best antioxidant properties. KEYWORDS:physicochemical characteristics; honey; hawthorn (Crataegus spp.);mixture; food suplement

Cardiovascular events occurring in the bloodstream are responsible for about 40% of human deaths in developed countries. Motivated by this fact, we present a new global network architecture for a system for the diagnosis and treatment of cardiovascular events, focusing on problems related to pulmonary artery occlusion, i.e., situations of artery blockage by a blood clot. The proposed system is based on bio-sensors for detection of artery blockage and bio-actuators for releasing appropriate medicines, both types of devices being implanted in pulmonary arteries. The system can be used by a person leading an active life and provides bidirectional communication with medical personnel via nano-nodes circulating in the bloodstream constituting an in-body area network. We derive an analytical model for calculating the required number of nano-nodes to detect artery blockage and the probability of activating a bio-actuator. We also analyze the performance of the body area component of the system in terms of path loss and of wireless links budget. Results show that the system can diagnose a blocked artery in about 3 h and that after another 3-h medicines can be released in the exact spot of the artery occlusion, while with current medical practices the average time for diagnosis varies between 5 and 9 days.

In the current era of mobile communications and next-generation networks, mobility analysis has a key role in guaranteeing the quality of service/experience in the available services. Although a vast amount of work has analyzed mobility from both analytic and stochastic points of view, much of it has focused on a time-based analysis and disregarded spectral features. In this article, we propose a method of analyzing the main features of mobility traces in the frequency domain and determining the possible relationships between typical mobility grades (in terms of average and maximum speed) and the required sampling frequencies. The collection and storage of mobility pattern samples when they are not required is impractical, and therefore, we attempt to demonstrate how mobility can be sampled to avoid information loss or oversampling (many works in the literature are based on a default sampling period of 1 s). The work also contributes with the proposal of a closed form for relating the sampling period and average moving speed with the spectral components. We conducted numerous simulations to confirm that, compared with classical sampling approaches that provide static behavior, it is possible to obtain a gain of about 35%–65% in the collected samples, with a negligible loss of accuracy in the reconstructed signal.