The role of γ- aminobutyric acid (GABA) and GABAA receptors is not only essential for neurotransmission in the central nervous system (CNS), but they are also involved in communication in various peripheral tissues such as the pancreas, liver, kidney, gastrointestinal tract, trachea, immune cells and blood vessels. GABAA receptors located outside the CNS ("peripheral GABAA receptors") enable both neuronal and non-neuronal GABA-ergic signaling in various physiological processes and are generally thought to have similar properties to the extrasynaptic receptors in the CNS. By activating these peripheral receptors, GABA and various GABAA receptor modulators, including drugs such as benzodiazepines and general anesthetics, may contribute to or otherwise affect the maintenance of general body homeostasis. However, the existing data in the literature on the role of non-neuronal GABA-ergic signaling in insulin secretion, glucose metabolism, renal function, intestinal motility, airway tone, immune response and blood pressure regulation are far from complete. In fact, they mainly focus on the identification of components for the local synthesis and utilization of GABA and on the expression repertoire of GABAA receptor subunits rather than on subunit composition, activation effects and (sub)cellular localization. A deeper understanding of how modulation of peripheral GABAA receptors can have significant therapeutic effects on a range of pathological conditions such as multiple sclerosis, diabetes, irritable bowel syndrome, asthma or hypertension could contribute to the development of more specific pharmacological strategies that would provide an alternative or complement to existing therapies. Selective GABAA receptor modulators with improved peripheral efficacy and reduced central side effects would therefore be highly desirable first-in-class drug candidates. This review updates recent advances unraveling the molecular components and cellular determinants of the GABA signaling machinery in peripheral organs, tissues and cells of both, humans and experimental animals.

Background Determining human identity has always been important in forensic investigations. Forensic dentistry has developed significantly having a key role in determining gender and age. One of the methods that is important in forensic dentistry is the analysis of orthopantomograms, which are X-rays of the complete upper and lower jaw, including the surrounding anatomical structures. The uniqueness of the dental features recorded in orthopantomograms makes them useful for individual identification, more specifically for the assessment of gender and age. This study was conducted to evaluate the application of convolutional neural networks in automating the process of gender and age estimation based on orthopantomograms, to improve accuracy and efficiency in forensic dentistry. Methodology Convolutional neural networks are powerful tools in the field of artificial intelligence for image processing and analysis because their convolutional layers extract specific features that are characteristic of a certain class. A total of 3716 orthopantomograms collected from the database of the University of Sarajevo - Faculty of Dentistry with the Dental Clinical Center were used to create convolutional neural network models for predicting gender and age. The orthopantomograms were taken in the period from January to December 2022 for the needs of doctors and providing services to patients at four polyclinics: Clinic for Dental Diseases and Endodontics, Clinic for Oral Diseases and Periodontology, Clinic for Oral Surgery, and Clinic for Pediatric and Preventive Dentistry. Results The results derived from three developed models confirm that the developed convolutional neural networks have high accuracy. The first model estimated gender, while the second and the third models estimated age within certain age ranges, the second from 12 to 24 years, and the third from 20 to 70 years. After training on the training dataset, all models achieved high accuracy on the validation dataset. The models demonstrated high accuracy without signs of overfitting, with the first model achieving 95.98%, the second model achieving 97.90%, and the third model achieving 96.12% accuracy. Conclusion This research concluded that the developed convolutional neural networks for gender and age estimation from orthopantomograms showed high accuracy. Models' predictions of gender and two age groups exceeded 95% accuracy. Therefore, convolutional neural networks can be considered useful tools for gender and age determination in forensic dentistry and can facilitate and speed up the processes of assessment and determination of essential characteristics.

Background: There is no specified diagnostic procedure that can help in determining the cause of death and the diagnosis of drowning because the pathohistological signs are almost identical and non-specified. Aim: Our study aims to recognize and prove diatom appearance in organs from a forensic aspect in Bosnia and Herzegovina, and to examine which is the more specific method in the diagnosis of drowning, the diatom test or the pathohistological finding. Methods: Rats of the recommended body weight were divided into four groups: G1 (n = 8; mechanism of death—asphyxia; cause of death—suffocation, submerged 1 hour after death); G2 (n = 8: mechanism of death-asphyxia; cause of death-suffocation, immersed 72 hours after death); G3 (n = 8: mechanism of death-asphyxia; cause of death-drowning, autopsy immediately after death), and G4 (n = 8: mechanism of death-asphyxia; cause of death-drowning, post mortem 24 hours after death). Results: During the diatom analysis, four species of diatoms, Diatoma vulgaris, Melosira varians, Epithemia adnata, and Cymbella sp, were successfully recovered from the stomach. Microscopic analysis did not detect diatoms in the kidneys and brains of rats, while the pathohistological changes were relatively uniform. Conclusion: Our results propose that the diatom test is a sustainable tool for supporting the diagnosis of drowning in the forensic pathology analysis of the cause of death. This experimental study is a starting point toward the optimization of tests and sampling in cases of unexplained etiology.

The goal of this abstract is to present available artificial intelligence (AI) software and tools for the development, assessment, and implementation of artificial intelligence/machine learning in cardio - vascular research and clinical care, ensuring they are safe, reliable

AIM To determine whether demographic data, clinical features, and laboratory variables at disease onset can predict the response to methotrexate in juvenile idiopathic arthritis (JIA) patients. METHODS A cohort of 143 newly diagnosed JIA patients initially treated with methotrexate was enrolled in this study. Demographic, clinical, and laboratory parameters were analysed using univariate and multivariate logistic regression to identify predictors of response to methotrexate. The variables included erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), platelets, IgA, IgG, the number of active joints and age at disease onset. Treatment response was assessed at six months, with patients classified as responders (those who achieved clinically inactive disease according to the American College of Rheumatology - ACR criteria) or non-responders. RESULTS Poor response to methotrexate was associated with the number of active joints (p=0.0001; OR=2.7), baseline levels of CRP (p=0.044; OR=1.138), IgA (p=0.004; OR=2.159), and platelet count (p=0.01; OR=1.05). IgG level (P=0.236) did not correlate with the treatment response. CONCLUSION We identified widely available and clinically acceptable biomarkers that can be utilized as predictive indicators of response to methotrexate in JIA patients.

AIM To determine the prevalence of aerobic vaginitis (AV) caused by Enterococcus faecalis (E. faecalis) in human papilloma virus (HPV)-positive women with pathological Pap test and to determine the most prevalent HPV type associated with E. faecalis infection. METHODS This prospective study was conducted at the Gynaecology Centre "Dr. Mahira Jahić" Tuzla and Primary Health Care Centre Tešanj (Bosnia and Herzegovina) in the period between February 2023 and March 2024. The research included 200 women aged 25 to 50 years. The examined group consisted of 100 women with a pathological (examined group) and 100 with a normal (control group) Pap test result. RESULTS Pathological Pap smears were found in 60 (out of 100; 60 %) women in the examined group: cervical intraepithelial neoplasia (CIN) 1 and CIN 2 in two women, respectively, CIN 3 in seven, atypical squamous cells of undetermined significance (ASCUS) in 29 and atypical squamous cells-high-grade cannot be excluded (ASC-H) in two women. Overall (both groups) prevalence of E. faecalis was 25.5% (51women); in 45 (22.5%) women E. faecalis was the only bacterial isolate, of which 42 (21%) in the examined group and three (1.5%) in the control group. High-risk HPV types were found in 62 (out of 100; 62%) women with the pathological Pap smear test. The association of E. faecalis and high-risk HPV positive women was found in 35 (35%) cases (moderately positive correlation; r=0.198). CONCLUSION E. faecalis is very common in HPV 16 and 18 positive women and may represent a risk factor in the development of cervical intraepithelial lesions.

Exonormatively oriented EFL speakers are well-disposed towards native varieties, particularly British and American English. Due to the varieties’ overlapping domains of influence, the ques-tion of consistency and preferences for one of the varieties comes into focus. Hence, this study explores Bosnian respondents’ preference for British or American English in pronunciation, orthography, lexis and grammar and their ability to recognise language units as characteristic of one variety or the other. Additionally, the study investigates whether students maintain con-sistency or whether they are inclined to use both varieties interchangeably. The obtained results confirm that Bosnian respondents have a solid knowledge of varietal differences but are highly inconsistent. Still, they prefer the American variety in all domains of language use, to a differing extent though. Keywords: consistency; English in Bosnia and Herzegovina; standardised British English; standardised American English; the System of World Englishes

Despite recent advances in endovascular therapy, up to half of acute ischemic stroke patients experience incomplete reperfusion (expanded Thrombolysis in Cerebral Infarction, eTICI<3) after intervention. However, many of these patients will achieve complete delayed reperfusion at the 24h follow‐up, which is linked to good clinical outcome and minimal new infarct development. We aimed to systematically review literature and perform a meta‐analysis on the natural evolution of incomplete reperfusion after endovascular therapy. We conducted a systematic review of MEDLINE, Embase and PubMed up until March 1, 2024 using a predefined search strategy. Only full‐text English written articles reporting rates of either favorable (i.e. delayed reperfusion) or unfavorable progression (i.e. persistent perfusion deficit) of incompletely reperfused tissue were included. Primary outcome was the rates of delayed reperfusion 24h post‐intervention and its association with functional independence (modified Rankin Scale, mRS 0‐2) at 90 days post‐intervention. Pooled odds ratios (OR) with 95% confidence intervals (CI) were calculated using a random‐effects model. Publication bias was assessed using funnel plots and the Luis Furuya‐Kanamori (LFK) index. Six studies involving 950 patients (50.7% female; median age 71, IQR 60 ‐ 79) were included. Four studies assessed the evolution of incomplete reperfusion on MRI perfusion imaging, while two studies used DWI and NCCT imaging, where new infarct was used to denote unfavorable progression. Complete delayed reperfusion, or absence of new infarct, occurred in 41% (inter‐quartile range, IQR 33% ‐ 51%) of cases 24h post‐intervention. Achieving delayed reperfusion was associated with higher likelihood of functional independence at 90 days (OR 2.53, 95%CI 1.88 ‐ 3.42). No evidence of publication bias was found (LFK=0.2). Nearly half of patients with incomplete reperfusion achieve complete delayed reperfusion, leading to favorable clinical outcomes. This subgroup of eTICI<3 patients may derive limited or potentially harmful effects from pursuing additional reperfusion strategies (e.g. intra‐arterial lytics or secondary distal thrombectomy). Accurately predicting the progression of incomplete reperfusion could optimize patient selection for adjunctive reperfusion attempts at the end of an intervention.