Background: Hepatobiliary tumors are uncommon in dogs, and metastatic liver tumors are diagnosed more frequently than primary liver tumors. Hepatocellular carcinoma is the most prevalent primary liver malignant tumor. Case Description: An 11-year-old spayed female Tibetan Terrier was referred to the University of Sarajevo Veterinary Teaching Hospital due to recurrent painful urination attempts, straining urination, hematuria, and decreased appetite. Abdominal ultrasonography revealed a moderately distended bladder containing urolith, bladder wall thickening, and sediment. Incidentally, a hyperechoic hepatic mass on the left medial liver lobe and hepatomegaly were detected along with gallbladder sludge. Surgical cystolithotomy and partial liver lobectomy were performed. Histopathological examination confirmed the hepatic mass as clear cell hepatocellular carcinoma (CCHCC). Conclusion: Although this rare histological subtype has been documented, its biological behavior and clinical features remain poorly understood due to the scarcity of cases. A recent publication by Jung et al. (2021). described the first cytological, histological, and clinical case presentation of CCHCC in dogs, suggesting that obesity and hyperlipidemia may be potential risk factors. However, these proposed risk factors were not detected in the present case, implying that CCHCC in dogs is a rare and poorly understood condition that warrants further attention in veterinary research.

Honeydew honey (HH) is a distinctive type of honey known for its dark colour, high mineral and polyphenol content, and pronounced biological activity. This study continues previous research on beech and chestnut honeydew honeys by presenting a comprehensive analysis of linden honeydew honey (LHH) from Bosnia and Herzegovina—a variety that, until now, has not been characterised in detail. Physicochemical parameters confirmed its classification as HH, with high electrical conductivity (1.21 mS/cm) and low moisture (15.1%). GC-MS analysis revealed a unique volatile profile dominated by α-terpinolene (17.4%), distinguishing LHH from other HH types. The sample exhibited high total phenolic content (816.38 mg GAE/kg) and moderate antioxidant capacity (1.11 mmol TE/kg). Antimicrobial testing demonstrated strong activity against Staphylococcus aureus and Methicillin-resistant Staphylococcus aureus (MRSA), with lower efficacy against Gram-negative bacteria. No cytotoxic effects were observed in HaCaT keratinocytes at concentrations up to 60 mg/mL, and wound healing assays showed improved scratch closure reaching approximately 30% after 24 h and 41% after 48 h compared to the control. These results indicate that LHH possesses promising bioactive properties and potential for dermatological application. Further studies with broader sample sets are needed to explore variability and confirm the therapeutic relevance of LHH in comparison to other honeydew types.

Background: Primary hypothermia occurs when the body is exposed to extremely low temperatures in an environment with no underlying health conditions. Secondary hypothermia, on the other hand, results from disruptions in thermoregulation due to diseases, trauma, surgery, drugs, alcohol, or infections. Postmortem biochemistry has become a crucial factor in forensic examinations, offering valuable apprehension into tissue of and organ dysfunction associated with the process of dying. Aim: This research aims to explore various biochemical markers and their significance in distinguishing primary from secondary hypothermia. Methods: This study involved 21 Wistar rats, which were separated into three experimental groups: CG (n = 7), which were exposed only to hypothermic conditions; AHG (n = 7); and BHG (n = 7). We tested these parameters in each rat: glucose, urea, creatinine, blood urea nitrogen to creatinine ratio, phosphorus, calcium, sodium, potassium, sodium to potassium ratio, chloride, and calculated osmolality. Results: Distinct biochemical differences were noted between primary and secondary hypothermia. Glucose and creatinine levels exhibited significant variations (p < 0.001). Urea concentrations also manifested notable differences between the groups (p < 0.001). Phosphorus levels demonstrated significant differences (p = 0.004), with post hoc analyses revealing significant contrasts between the AHG and BHG (p = 0.014) and between the BHG and CG (p = 0.014). Potassium levels and the sodium-to-potassium ratio differed significantly (p < 0.001). Osmolality also varied significantly across experimental groups (p < 0.001), with post hoc tests confirming significant differences between the AHG and CG (p = 0.013) and between the BHG and CG (p = 0.002). Conclusion: The calculated osmolality exhibited significant variation among the different groups, indicating a notable impact of the substances on the biochemical profile related to hypothermia. This study focused on the effectiveness of biochemical markers in distinguishing primary hypothermia from secondary hypothermia.

Cardiotocography (CTG) is essential for monitoring high-risk pregnancies, yet perinatal asphyxia prediction accuracy remains limited to 50–55%. Regions of artifacts (missing valid signals)-including signal processing aberrations-possibly contribute to this limitation, highlighted by 40% of FDA reports on intrapartum stillbirths. This cohort study applied causal inference to two digitized CTG databases, analyzing 36,792 labor episodes (>36 weeks) at a tertiary Australian hospital (2010–2021) and externally validating on a Czech dataset (n = 552).High rates of missing valid signals (>30% fetal heart rate signal dropout or >1% maternal-fetal heart rate coincidence) was independently associated with asphyxia (aOR 1.47, 95% CI 1.19–1.81); dropout >30% showing stronger link (aOR 1.58, 95% CI 1.13–2.20 Australian dataset; aOR 2.30, 95% CI 1.08–4.91 Czech dataset). Risk of asphyxia increased with higher dropout (>37.45%, aOR 2.21 Australian dataset; >34.01%, aOR 4.08 Czech dataset). Integrating measures of missing valid signals into fetal monitoring algorithms may improve decision-making and neonatal outcomes.

Network emulators are essential in testing network systems, applications, and protocols. Emulators bridge the gap between simulation setups that lack realism in results and real-world trials that are accurate but often expensive, non-reproducible, and uncontrollable. This paper describes the simulations and emulations of the national Czech QKD network. Using emulation techniques, a unique ecosystem is formed that includes the processes of generating, processing, storing, and consuming cryptographic keys. The presented tool will undoubtedly spur future development, understanding, and teaching, and it is critical for testing novel applications and protocols applied to QKD networks.

Interna revizija, kao nezavisna i objektivna funkcija, ima ključnu ulogu u unapređenju poslovanja organizacija kroz procenu i poboljšanje efektivnosti upravljanja rizicima, kontrolom i organizacionim procesima. Iako nije zakonski obavezna u svim zemljama, njeno uspostavljanje postaje sve važnije, posebno u javnom sektoru i finansijskim organizacijama i korporacijama, kako bi se unapredilo poslovanje, ostvarili ciljevi i smanjili rizici. Kvalitet interne revizije definiše se njenom sposobnošću da ispuni ciljeve organizacije pružajući korisne informacije menadžmentu, osiguravajući usklađenost s propisima, upravljajući rizicima i poboljšavajući sistem internih kontrola i organizacione procese. Njena važnost ogleda se u povećavanju kredibiliteta revizije, poverenja zainteresovanih strana i dugoročne održivosti organizacije. Ključni faktori kvaliteta uključuju profesionalne standarde, podršku menadžmenta, nezavisnost, objektivnost, kompetenciju revizora i efikasnu koordinaciju sa eksternim revizorima. Iako univerzalan model za ocenu kvaliteta interne revizije ne postoji, istraživanja naglašavaju značaj različitih metodoloških pristupa, uključujući SEM metodologiju, faktorsku analizu i regresione modele i strukturalni pregled literature radi preciznijeg razumevanja indikatora kvaliteta. U radu su prezentovana istraživanja koja se bave upravo istraživanjem kvaliteta interne revizije i identifikovanja ključnih faktora koji određuju kvalitet interne revizije.

Restless legs syndrome is a neurological disease from the spectrum of movement disorders, with psychiatric comorbid symptoms and manifestations. Women are affected twice as often as men, and the frequency in the population is 4-10%, while during pregnancy the prevalence triples. This research was conducted as a result of a search and selection of studies on the prevalence of RLS in pregnancy, which include works published in domestic and foreign journals and searches of PubMed, PubMed Central, Web of Science, Scopus and Embase. A primary search of medical databases found 316 publications. In this secondary process, due to the lack of access to the abstract or full text, and due to the poor quality of the articles, 11 relevant publications were finally found and included in this systematic review. The total number of respondents included in this research is 7033, aged 19-45. The lowest prevalence was 4.9% in Japan, and the highest prevalence was 54.7% in Saudi Arabia. In this review, the overall mean frequency of restless legs syndrome during pregnancy was 24.69%. Furthermore, in our ongoing research conducted in 2022 on restless legs syndrome, we recorded a frequency of 26.5% in a population of 266 pregnant women in the third trimester of pregnancy. The frequency of restless legs syndrome is high among the population of pregnant women, and according to its etiology, clinical manifestations and comorbid manifestation, this disorder represents a close link between psychiatry, neurology and gynecology. For this reason, pregnant women should pay extra attention to the early detection of this disorder, which can significantly affect a pregnant woman's daily energy level, poor sleep and daytime sleepiness, and more frequent symptoms of anxiety and depression.

Background Many low-income and middle-income countries have introduced public health insurance systems, whereby, thanks to government subsidies, selected groups are entitled to receive insurance coverage even if not paying direct contributions into the system. These efforts towards achieving universal health coverage were often undermined by difficulties in enrolment and registration, barriers to health service utilisation or complicated rules around service packages. Governmental and non-governmental accountability initiatives have been established to overcome these barriers in order to make health insurance programmes responsive and to empower citizens. This paper examines evidence and synthesizes lessons from 20 accountability initiatives in six selected countries to understand how these achieved (or not) these goals. Methods We systematically analysed six final reports and five published papers which were part of a multicountry research programme from 2019 to end of 2022 studying accountability initiatives. Between June 2023 and September 2024, we systematically extracted data and synthesised findings from the reports and papers based on a conceptual framework, adapted from a framework developed by Molyneux, which had been adopted by the country teams to guide their studies. We coded the extracted data and identified the content, context and process factors that enabled or hindered the accountability initiatives in achieving their intended goals. We present and discuss factors that were present in at least two initiatives. Results Governmental initiatives were in most instances established in conjunction with the health reforms that introduced the health insurance programmes they address. Whereas some of these initiatives were effective, many were undermined by poor outreach to citizens, inadequacy of resources, conflicts of interest and power imbalances and lack of fidelity to original design. Non-governmental initiatives often emerged to fill existing gaps in government services and programmes. Many of the non-governmental initiatives had several features which helped them in contributing to citizen empowerment, and these included embeddedness in and being trusted by the local communities, flexibility in operating and reaching out to people and the underlying motivation of people working in them. Conclusions The effective implementation of accountability initiatives requires transparency, trust-building measures, active outreach and community engagement and adequate resources. These elements can ensure that initiatives achieve their intended goal of enhancing citizens’ access to their health insurance entitlements. Further research is needed to understand how best collaboration between governmental and non-governmental initiatives can be fostered to build synergies between the two toward the achievement of common goals.

Background/Objectives: Large language models (LLMs), such as ChatGPT, have emerged as potential clinical support tools to enhance precision in personalized patient care, but their reliability in radiological image interpretation remains uncertain. The primary aim of our study was to evaluate the diagnostic accuracy of ChatGPT-4o in interpreting chest X-rays (CXRs) and abdominal X-rays (AXRs) by comparing its performance to expert radiology findings, whilst secondary aims were diagnostic confidence and patient safety. Methods: A total of 500 X-rays, including 257 CXR (51.4%) and 243 AXR (48.5%), were analyzed. Diagnoses made by ChatGPT-4o were compared to expert interpretations. Confidence scores (1–4) were assigned and responses were evaluated for patient safety. Results: ChatGPT-4o correctly identified 345 of 500 (69%) pathologies (95% CI: 64.81–72.9). For AXRs 175 of 243 (72.02%) pathologies were correctly diagnosed (95% CI: 66.06–77.28), while for CXRs 170 of 257 (66.15%) were accurate (95% CI: 60.16–71.66). The highest detection rates among CXRs were observed for pulmonary edema, tumor, pneumonia, pleural effusion, cardiomegaly, and emphysema, and lower rates were observed for pneumothorax, rib fractures, and enlarged mediastinum. AXR performance was highest for intestinal obstruction and foreign bodies, and weaker for pneumoperitoneum, renal calculi, and diverticulitis. Confidence scores were higher for AXRs (mean 3.45 ± 1.1) than CXRs (mean 2.48 ± 1.45). All responses (100%) were considered to be safe for the patient. Interobserver agreement was high (kappa = 0.920), and reliability (second prompt) was moderate (kappa = 0.750). Conclusions: ChatGPT-4o demonstrated moderate accuracy for the interpretation of X-rays, being higher for AXRs compared to CXRs. Improvements are required for its use as efficient clinical support tool.