Abstract Polygenic risk scores (PRS) combine the effects of multiple genetic variants to predict an individual’s genetic predisposition to a disease. PRS typically rely on linear models, which assume that all genetic variants act independently. They often fall short in predictive accuracy and are not able to explain the genetic variability of a trait to the full extent. There is growing interest in applying deep learning neural networks to model PRS given their ability to model non-linear relationships and strong performance in other domains. We conducted a survey of the literature to investigate how neural networks model PRS. We categorize deep learning-based approaches by their underlying architecture, highlighting their modeling assumptions, likely strengths and potential weaknesses of the architectures. Several categories of neural network architectures exhibited promising signs for the improvement of PRS’ predictive power, namely sequence-based architectures, graph neural networks and those that incorporated biological knowledge. Additionally, the use of latent representations in autoencoders has improved predictive performance across diverse ancestries. However, a lack of existing model benchmarks on consistent datasets and phenotypes makes it challenging to understand the extent to which different architectures improve performance. Interpretability of deep learning-based PRS is also challenging with great care required when inferring causation. To address these challenges, we suggest the establishment and adherence to reporting standards and benchmarks to aid the development of deep learning-based PRS to find quantifiable trends in neural network architectures.

Psychological studies on close relationships have often overlooked cultural diversity, dynamic processes, and potentially universal principles that shape intimate partnerships. To address the limited generalizability of previous research and advance our understanding of romantic love experiences, mate preferences, and physical attractiveness, we conducted a large-scale cross-cultural survey study on these topics. A total of 404 researchers collected data in 45 languages from April to August 2021, involving 117,293 participants from 175 countries. Aside from standard demographic questions, the survey included valuable information on variables relevant to romantic relationships: intimate, passionate, and committed love within romantic relationships, physical-attractiveness enhancing behaviors, gender equality endorsement, collectivistic attitudes, personal history of pathogenic diseases, relationship quality, jealousy, personal involvement in sexual and/or emotional infidelity, relational mobility, mate preferences, and acceptance of sugar relationships. The resulting dataset provides a rich resource for investigating patterns within, and associations across, a broad range of variables relevant to romantic relationships, with extensive opportunities to analyze individual experiences worldwide.

Background Acute cholecystitis (AC) is a frequent surgical emergency associated with significant variability in clinical outcomes and hospital length of stay (LOS). Early identification of patients at risk for prolonged hospitalization can improve triage and resource planning. Inflammatory markers such as C-reactive protein (CRP), white blood cell count (WBC), and total bilirubin (TBil), along with biliary complications like choledocholithiasis and Mirizzi syndrome, may have prognostic value. Materials and methods This retrospective study included 150 patients who underwent cholecystectomy for AC at the Department of General and Abdominal Surgery, University Clinical Centre Tuzla, Tuzla, Bosnia and Herzegovina, between January 1, 2024, and January 31, 2025. Demographic, laboratory, and intraoperative data were collected. Receiver operating characteristic (ROC) analysis identified optimal cut-offs for inflammatory markers predicting prolonged LOS (≥7 days). Multivariate linear regression was used to assess independent predictors, including CRP, WBC, TBil, and intraoperative findings. Results We found that CRP was significantly higher in patients with prolonged LOS and demonstrated the highest predictive accuracy, with an area under the curve (AUC) of 0.733 (95% CI: 0.630-0.835), followed by TBil and WBC. In multivariate analysis, only CRP ≥110.5 mg/L (p<0.001), the presence of choledocholithiasis in 26 patients (17.3%; p=0.010), and Mirizzi syndrome in seven patients (4.7%; p=0.017) remained significant predictors. WBC and TBil lost significance after adjustment. Conclusion CRP is the most reliable independent laboratory predictor of prolonged LOS in AC. The presence of choledocholithiasis and Mirizzi syndrome further contributes to extended hospitalization. These factors should be considered in early clinical risk assessment.

Background/Objectives: This research reports the synthesis and evaluation of novel charged thienobenzo-triazoles as non-selective cholinesterase inhibitors (AChEs and BChEs), their anti-inflammatory properties, and a computational study. Methods: Fifteen derivatives were created through photochemical cyclization and quaternization of the triazole core. The compounds were tested for AChE and BChE inhibition. They showed greater potency and selectivity toward BChE. Results: The most potent compound, derivative 14, inhibited BChE with an IC50 of 98 nM, while derivative 9 also displayed significant anti-inflammatory activity by inhibiting LPS-induced TNF-α production (IC50 = 0.66 µM). Molecular docking revealed that triazolinium salts form key π-π and electrostatic interactions within enzyme active sites. In silico predictions indicated favorable ADME-Tox properties for compounds 9 and 11, including low mutagenicity and moderate CNS permeability. Conclusions: These findings highlight the potential of new charged triazolinium salts as peripherally selective cholinesterase inhibitors with additional anti-inflammatory potential.

Abstract Consumers of agricultural products represent a sensitive category of society, therefore communication with them is particularly important. Communication is influenced by a large number of factors, and in this regard, making the right decision about the way to communicate is an extremely complex job. In previous research, the emphasis was placed mostly on the entire supply chain, much more than on the method of choosing communication with end consumers of agricultural products. Therefore, this research represents an attempt to make an additional contribution to rational decision-making in this part of the agricultural supply chain. In this paper, the selection of criteria used in the process of communicating with consumers in a country was carried out by applying expert fuzzy multi-criteria decision-making. The innovative fuzzy method SiWeC (Simple Weight Calculation) was applied to evaluate ten given criteria with the aim of their selection. The subject of the research were several agricultural companies and the experts were six experts from the marketing department of the companies in question. The results show that the method of communication itself is the best evaluated criterion, as well as the delivery time, i.e. the impact of delivery speed on the demand for a particular agricultural product. Uncertainty in decision-making is reduced by applying fuzzy decision-making logic, and the results provide the basis for future research that should be directed at selecting the most favorable methods of communication when products of this type are in question, as well as the development of the existing methodology, which in this case has proven to be adequate.

Purpose Diabetic kidney disease (DKD) significantly affects health and healthcare costs due to chronic kidney disease complications. Given asprosin’s potential as a biomarker for disease progression, we conducted the first systematic review and meta-analysis on its relationship with DKD in adults with type 2 diabetes mellitus (T2DM). Methods PubMed, Embase, Cochrane, and Web of Science were systematically searched. Standard mean differences (SMD) with 95% confidence intervals (CI) and Fisher’s Z transformation were used to examine the relationship between asprosin and DKD. The risk of bias was evaluated using the Newcastle-Ottawa Scale (NOS) and its version for cross-sectional studies. Heterogeneity (I² > 50%) was analyzed with a random-effects model. Results Six studies (n = 1340) were included. Meta-analysis results indicated that T2DM patients with DKD (micro/macroalbuminuria) had significantly higher circulating asprosin levels than normoalbuminuric T2DM patients (SMD: 1.5, 95% CI: 0.69–2.32, p = 0.0003). Meta-analysis of correlation revealed a positive association of asprosin with urinary albumin excretion ratio (UACR) (Fisher’s Z = 0.4; 95% CI: 0.240–0.554, p < 0.001) and body mass index (BMI) (Fisher’s Z = 0.17; 95% CI: 0.036–0.301, p = 0.013), and a negative association with estimated glomerular filtration rate (eGFR) (Fisher’s Z = −0.35; 95% CI: −0.471 to −0.239, p < 0.001). Conclusion Asprosin is elevated in T2DM patients with pre-DKD (early stage DKD) and DKD and correlates with key markers of disease severity. Additional research is required to better understand the pathophysiological mechanisms of asprosin and its role in DKD.

The conducted research aimed to determine the dietary habits of elderly people. The research was conducted on a sample of 237 respondents differentiated by gender, 133 males and 104 females and by age 65 -89 years. Data processing was done in the SPSS program and descriptive and comparative statistics were used to obtain data. Descriptive parameters were created for the analysis of the factual state of the respondents. The collected data were analyzed using the Microsoft Excel 2007 tool, and are presented in tables. It is evident that the health status of the respondents worsens with age, and dietary habits change in a positive sense with age. Given that the world's population is aging, it is necessary to emphasize attention to certain needs and challenges faced by many older people. Nutrition is an important element of health in the elderly population and affects the aging process. Although it is a study on a relatively small number of subjects, in comparison with a larger European study, it becomes relevant for proving the present problem of malnutrition among elderly patients. It is necessary to take all measures to increase the awareness of health workers about this problem in order to successfully prevent it or stop it in time.Looking at the entire sample of respondents globally, we can conclude that overall, a significant number of respondents do not pay enough attention to the structure of foods in their diet and water consumption.In line with previous research, the results of this study highlight the importance of dietary habits in creating a healthy lifestyle and preventing chronic non-communicable diseases. Key words:eating habits, age, respondents, differences, lifestyle

Menopause represents an inevitable transition in a woman’s life, presenting with vasomotor symptoms, mood disorders, sleep difficulties, and prolonged risks such as osteoporosis and cardiovascular diseases. Hormone replacement therapy emerged as the cornerstone of menopausal management, particularly for alleviating symptoms and preventing postmenopausal osteoporosis. However, findings from the Women’s Health Initiative (WHI) study in 2002 highlighted increased risks of breast cancer, cardiovascular disease, and stroke associated with hormonal replacement treatment, leading to a significant global decline in its usage. Consequently, numerous women were deprived of essential therapy, endangering their health and quality of life. This review presents the findings of the WHI study, discusses its methodological errors, and evaluates its benefits and harms. We explore landmark studies that have reestablished the benefits and risks of hormone replacement therapy over the past two decades. Guidelines supported by these findings are presented in this review. Despite advancements, public perception of hormone replacement treatment remains influenced by outdated findings, limiting its utilization in many regions, especially in developing countries. Our objective is to provide evidence that misconceptions about hormone replacement therapy significantly impact women’s general health and quality of life, as well as to clarify the short-term and long-term impacts of hormone replacement therapy. We conclude that hormonal replacement treatment is effective and safe when administered according to established guidelines. Access to information, coupled with knowledgeable physicians who consistently interact with women, is as vital as the contributions of menopause healthcare specialists. Conflicting information from outdated professionals can likely lead to treatment failure in patients. Keywords: menopause, women’s health, estrogens, progestins, quality of life

Attention-Deficit/Hyperactivity Disorder (ADHD) is a common neurodevelopmental disorder that affects the entire personality and is most often diagnosed during school age. The Tomatis Method involves neurosensory brain stimulation through unique listening programs. The aim of this study was to examine the impact of the Tomatis Method on the attention of a child with ADHD. The listening program was tailored to the child's specific needs and was administered by a certified Tomatis practitioner. Each treatment cycle lasted 14 days. The assessment was conducted at four time points: before and after the first cycle, and before and after the second cycle of the Tomatis treatment. A software-based assessment tool specifically designed to evaluate components of executive functions was used to measure attention. The collected data were processed using IBM SPSS Statistics 21 software for statistical analysis. Basic statistical parameters were calculated. The results showed improvements in attention-related abilities, including increased response accuracy and faster reaction times. Key words:Tomatis Method, ADHD, attention.

The “burnout” syndrome is a state of emotional, physical, and mental exhaustion caused by excessive and prolonged stress. It is also referred to as a disease of themodern age. It most commonly occurs after an individual experiences emotional exhaustion and an inability to meet constant demands, leading to a loss of interest and motivation in their work. The profession of a speech and language therapist is considereda helping profession that can lead to burnout syndrome. The main aim of this research was to examine the level of professional burnout in speech and language therapy practice. The sample consisted of 69 speech and language therapists of both genders, employed in various institutions. The results showed that 31 therapists (44.8%) exhibited varying degrees of professional burnout, ranging from mild burnout to burnout requiring professional assistance, while 38 therapists (55.1%) showed no signs of professional burnout. No statistically significant difference in the level of professional burnout was found in relation to the gender of the therapists, but a statistically significant difference was found in relation to the age of the therapists. The results indicated that there is no difference in the level of professional burnout in relation to years of service, nor a statistically significant correlation between the level of professional burnout and the type of institution where the therapists are employed, working hours during the week, or the number of treatments conducted during the working day. Taking care of the mental health of speech and language therapists is a very important factor that contributes to the quality and efficiency of conducting speech and language prevention, assessment, diagnostics, and treatment. Keywords:burnout syndrome, speech and language therapists, speech and language therapy practice, mental health.

This study investigates the neural encoding of speech features in hearing aid users using electroencephalography (EEG) during a simulated cocktail party scenario. The objective was to investigate neural tracking of various acoustic and linguistic features and how hearing aid noise reduction influenced this tracking. The features analyzed included the acoustic envelope, phonetic features, word onset, and word surprisal, the latter derived from GPT-2. Temporal Response Functions (TRFs) were used to correlate these features with EEG signals, revealing how the brain tracks attended (target) versus unattended (masker) speech. TRFs were estimated using a boosting algorithm, with speech features as predictors and EEG signals as responses. Results revealed a significant distinction between target and masker speech. The acoustic envelope showed the strongest correlation with EEG responses. Distinct tracking patterns were observed: the acoustic envelope and phonetic features correlated with early processing stages, while word onset and word suprisal were linked to later stages. Noise reduction further influenced the tracking of these features. These findings improve our understanding of how hearing aid users process speech and provide insight for developing hearing aids that adapt to individual neural responses.

This study examines the agreement between health-related quality of life assessments in children with cerebral palsy and their mothers, analyzes the relationship between functional domains (daily activities, mobility, pain, fatigue, nutrition, communication) and psychosocial health of the child from the perspectives of both children and mothers, and investigates the impact of maternal education level and family socioeconomic status on the psychosocial health of children as assessed by their mothers.The study involved 61 children with cerebral palsy, aged 5 to 18 years, along with their mothers who were the primary caregivers. Data were collected using validated instruments, includingthe PedsQL 4.0 and PedsQL 3.0 questionnaires, completed by both the children and their mothers. Socioeconomic status was determined using the Hollingshead index, and statistical analysis—descriptive statistics and non-parametric tests (Wilcoxon signed-rank test, Spearman’s correlation)—was conducted using IBM SPSS Statistics 25.The results showed significant differences in quality of life assessments between children and their mothers, particularly in the domains of daily activities, school activities, mobility, and balance. Daily activities, mobility, and nutrition were correlated with the psychosocial health of children according to the children’s self-reports, while, according to mothers’ assessments, the strongest correlations were observed for daily activities and nutrition. Socioeconomic status and maternal education level did not have a significant association with the psychosocial health of children in this sample. The findings highlight the importance of considering the child’s perspective and focusing interventions on daily functioning. Keywords:cerebral palsy, quality of life, psychosocial health, daily activities, socioeconomic status

Exposure to pesticides, most usually in occupational settings, is associated with different adverse health effects. In this systematic review and meta-analysis, we have assessed the effects of pesticide exposure on the level of DNA strand breaks in human peripheral blood cells, measured by the comet assay, in human biomonitoring studies. The literature search led to 80 studies included in the review. Of these, 66 studies met the criteria to be used in the meta-analysis. Using standardized mean difference and 95 % confidence interval (CI), the meta-analyses show an increased level of DNA strand breaks in subjects exposed to pesticides (2.02, 95 % CI: 1.69, 2.35). Results originate mainly from studies on workers, with only a few studies on environmental pesticide exposure. Subgroup analysis indicates that all studies combined from middle-income countries have a higher effect size (2.22, CI: 1.84, 2.59, n = 55) than studies from high-income countries (1.09, CI: 0.41, 1.76, n = 11). This difference between middle- and high-income countries may be mostly due to legislative, economic, and socio-cultural aspects. It has to be pointed out that only 9 % of the studies were classified as having an overall low risk of bias, while 12 % of studies used exposure biomarkers. In conclusion, this systematic review and meta-analysis shows that exposure to pesticides is associated with increased levels of DNA strand breaks in human peripheral blood cells.