Introduction: Since 1956 karyotype analysis becomes an essential part of routine medical diagnostics, and helped medical professionals investigate the origin of genetic abnormalities in many constitutional and cancer diseases. Karyotyping also provided more information in the monitoring of fertility problems. An inversion does not usually have a phenotypic effect, especially if it involves a heterochromatin area, such as 9qh. Chromosome 9 polymorphism, with breakpoints p11q13/p12q13, can be the cause of variant abnormal clinical conditions such as congenital abnormalities, hematological diseasesand also could have a connection with pregnancy loss and fertility failure. Methods: A retrospective study was conducted on 1784 cytogenetics examination results from peripheral blood samples in the period from January, 2012 to December, 2022. The patients, carriers inv(9) in their karyotype were highlighted for detailed analysis. Results: Among the 1784 patients, constitutional pericentric inversion inv(9)(p11q13) was found in 13 females (0,72%), while it was seen in 17 cases of males (0.95%). The total average amount of inv (9) in this study is 1.68%. The inv(9) population consists of 60% cases with infertility problems, 6,66% females who had spontaneous abortus and 33,33% were patientsreferred to our laboratory for other reasons. Conclusion: In this research, the prevalence of inv (9) in the population of patients of Northeast Bosnia and Herzegovina who had the reproductive failure is shown. We believe that these results will help in finding the key to the truth about the association of this chromosome polymorphism with some pathological conditions such as fertility problems.

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.

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.  

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.

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.

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.

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.

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.

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.

Abstract The paper analyses the notion of anomie through various theories presented in the works of classical Greek thinkers up to today’s understanding of this notion. In this regard, the article will touch on some previous understandings of this phenomenon, and the beginnings of modern thought on anomie in the work of Jean-Marie Guyau, and the developed understandings of Robert Merton and Émil Durkheim as the two most prominent authors dealing with this topic. In addition, the attitudes of marginalized writers will be analysed, as well as neglected and underrepresented understandings in criminology and wider science. The purpose of this paper is to find common ground between all previous understandings of the theory of anomie, and to try to find a more specific meaning of the term in order to contribute to the discussion on this topic.

The samples of stinging nettle were collected during June in the Tuzla region. Aqueous extracts were prepared from fresh and dried leaves in order to determinate and compare content of bioactive components and antioxidant potential. Conventional soxhlet, ultrasound assisted extraction and traditional maceration extraction were used as extraction methods. Quantitative determination of phenols and flavonoids was carried out using spectrophotometric methods. Antioxidant activity of nettle aqueous extracts was determined using ferric reducing antioxidant power and DPPH free radical scavenging activity. Extracts obtained by Soxhlet extraction showed the highest total phenolic and flavonoid content and expected the highest antioxidant capacity, while extracts obtained by maceration gave the lowest results. KEYWORDS:stinging nettle extract;bioactive components;extraction;antioxidant