Private University of Environmental Sciences in Radom

Introduction: Some species of the genus Streptococcus , which were once considered primarily animal pathogens, are increasingly causing infections in humans. They cross the interspecies barrier by gaining virulence traits typical of human pathogenic streptococci. Among cattle pathogens, the Streptococcus dysgalactiae subspecies has recently been identified as causing serious human infections. It can spread easily between humans. This study focuses on a species that also causes mastitis in cattle — S. uberis . Material and methods: This streptococcus colonizes both sick and healthy animals in large numbers and is widespread in their environment. The human infections described so far have involved people in close contact with cattle. In these studies, S. uberis isolates from cows with suspected mastitis were characterized and searched for gene sequences that represent them as bovine pathogens ( mtuA, sua, gapC ) — at the same time, based on published sequences of human pathogenic streptococci, genes whose products are responsible for the early stage of infection ( prtF1, prtF2, fbn, lmb, isp1, sla, hylB ) and genes whose products are responsible for streptococcal invasiveness and toxicity ( scp, dppA, sicG, sagA, slo, and ska ). Results: In addition to the characteristics and expected features of S. uberis , which are associated with their known role in bovine infections, most isolates had gene sequences derived from Streptococcus pyogenes or Streptococcus dysgalactiae that are relevant to the pathogenesis of human diseases. These sequences have not been previously described in the Streptococcus uberis species. Conclusions: Some isolates have accumulated a significant number of them, which, if expressed, may be of concern.

Catheter ablation (CA) with guidance using fluoroscopy and electroanatomic mapping (EAM) is the standard and most effective treatment for atrioventricular accessory pathways (AP). However, data on fluoroscopy-free CA with AP remains limited. This study evaluated the feasibility of performing CA without fluoroscopy guidance, using only EAM, in patients with right-sided AP. We retrospectively included 100 consecutive patients with pre-excitation in ECG who underwent CA for right-sided AP. All procedures were performed using EAM. The primary outcome was the feasibility of performing the AP CA without the use of fluoroscopy. Secondary outcomes included the acute and long-term success rate, complications, and procedure time. In 74 patients, the procedure was completed without fluoroscopy (ZF-EAM group), while 26 patients required fluoroscopy during the procedure (F-EAM group). Acute procedural success was achieved in 91% of patients overall, with a higher rate in the ZF-EAM group (72 of 74; 97%) compared to the F-EAM group (19 of 26; 73%) (P <0.001). After follow-up, long-term recurrence was observed in 6 of 72 patients (8.3%) in the ZF-EAM group and none of the 19 patients (0%) in the F-EAM group (P = 0.34). The procedure duration was shorter in the ZF-EAM group (median 1.3 hours [0.9-1.8]) compared to the F-EAM group (median 1.8 hours [1.3-2.6]; P = 0.007). No major complications occurred in either group. CA of right-sided AP, guided entirely by EAM without the use of fluoroscopy, is feasible in most cases. This approach was associated with high efficacy and safety, and it may reduce procedure times.

This work is aimed at developing intelligent systems capable of automatically classifying types of educational materials. This will allow students to find the resources they need faster, and it will make it easier for teachers to manage content in educational platforms. The solution of the problem of recognition of information objects using fuzzy output systems and neural networks is considered. This approach combines the advantages of neural machine learning with the flexibility and efficiency of fuzzy logic, making these systems effective tools for solving problems related to fuzzy or uncertain data. An information model of a neural network for classifying information objects in e-learning systems has been developed. Experimental testing of the proposed approach was carried out on a data set, which consists of information objects from real e-learning systems, namely such as manuals, lectures, syllabuses, and textbooks. Design an adaptive mechanism that utilizes fuzzy neural networks to personalize content recommendations for students based on their learning progress and preferences, thereby enhancing the effectiveness of e-learning systems. Improve the efficiency of classification algorithms by fine-tuning neural network parameters and fuzzy logic rules, ensuring high accuracy and computational efficiency when processing large-scale educational datasets. The results of experimental studies have shown that a neural network built based on fuzzy logic is able to classify various information objects efficiently and correctly in e-learning systems. It is shown that the integration of neural networks based on fuzzy logic into e-learning systems to improve the processes of classification of information objects makes it possible to increase the efficiency of educational resources management, ensuring accuracy and flexibility in processing various data.

The set up of new healthcare models by taking into account diagnosis and health education of the viral infection, aims to achieve the goals of the World Health Organization Global Health Sector Strategy on viral diseases for 2022-2030. In comparison to Europe, Poland is ranked among countries with an moderate prevalence of hepatitis B and C virus (HBV and HCV), also human immunodeficiency virus (HIV). An additional challenge is the changing epidemiological situation due to the impact of immigrants, resulting mainly from the war in Ukraine. The article presents current guidance for HCV and HIV diagnosis and presents the role of occupational health service (OHS) for primary and secondary prevention of the infectious diseases. It was considered to expand the scope of periodic examinations to include diagnosis of HBV, HCV and HIV infections among health care workers, who have not had it performed so far. In the case of abnormal level of alanine aminotransferase (ALT), aspartate aminotransferase (AST) or γ-glutamyl transpeptidase (GGT) found during routine pre-employment or periodic examinations for specific occupational exposures and it is considered crucial to implement further measures to exclude or confirm HBV or HCV infection, with indications for further management in primary care, and followed by subsequent periodic examinations. The need to pay attention to any symptoms that may indicate HBV, HCV and/or HIV infection, to perform additional diagnostic tests (e.g., point of care), and to determine the next steps in case of positive result was indicated. It emphasized the need to tailor the delivery of information to the patient, including taking care to ensure that immigrants' workers understand the next steps. It was recommended that the OHS conduct educational activities to raise health awareness of HIV, HCV, HBV infections, both through health policy programs as well as through broader activities in cooperation with the employer. Med Pr Work Health Saf. 2024;75(5):485-494.

Abstract The article discusses an innovative approach to the formation of a sensory panel formed for the purpose of evaluating cosmetic products. Model samples of cosmetic emulsions are proposed, which should help in the initial selection and training of sensory panelists, in order to improve the precision of evaluations. Simple and easily reproducible emulsions (comprising rapeseed oil, sunflower lecithin, water, and xanthan gum) were formulated to represent a specific level of variability associated with a particular property, such as thickness. To confirm that the ability to rank the produced emulsions can be considered a criterion for selecting individuals for the sensory panel—resulting in greater consistency of results—tests involving moisturizing creams were conducted. The study's findings demonstrate that the novel approach to candidate selection, through the assessment of model emulsion consistency, is both effective and justified. This method has the potential to enhance recruitment efficiency by identifying individuals with a high ability to evaluate cosmetic emulsions.Practical ApplicationsThose who benefit from the work include professionals and researchers dedicated to enhancing sensory panel selection processes. The main goal was to optimize the sensory panel selection and training process. Reference samples help determine whether potential members have the right skills and potential for sensory evaluation. Selecting individuals with a greater aptitude for assessments based on the sense of touch can be particularly valuable for companies operating in industries where the sensory quality of products is important.