Industrial hemp ( Cannabis sativa L.) shows strong potential for phytoremediation due to its deep root system and high biomass; however, its ability to accumulate heavy metals raises concerns regarding its medicinal use. The aim of the study was to determine and compare the presence of five metals (Cd, As, Pb, Zn, and Fe) in three different plant organs/tissues and in inflorescence extracts in order to assess their suitability for food or medicinal use. Zinc was included as an essential micronutrient for comparison with toxic metal accumulation. The results demonstrate that hemp grown on contaminated soils accumulates elevated levels of cadmium and lead, primarily in the roots, while metal transfer to inflorescences and extracts remains limited. Genetic differences among breeding lines had little effect on metal uptake, indicating that cultivation for food, dietary supplement, or medicinal purposes should be restricted to uncontaminated soils in order to minimise health risks to patients and consumers.

Cornelian cherry ( Cornus mas L . ), known for its strong antioxidant and antiproliferative activity, is rich in vitamin C, polyphenols, flavonoids, anthocyanins

Oral cancer remains a major health issue worldwide. Oral Potentially Malignant Disorders (OPMDs) constitute a wide range of lesions and conditions found in the oral cavity with a known risk of developing into oral squamous cell carcinoma. Common OPMDs include leukoplakia, erythroplakia, oral submucous fibrosis, oral lichen planus, and proliferative verrucous leukoplakia. Timely, well-targeted biopsy, coupled with risk-adapted follow-up and multidisciplinary care is essential to reduce malignant progression and achieve optimal patient outcomes. To address the absence of a unified weighting scheme for clinical and pathological predictors of malignant transformation in OPMDs, we conducted a targeted expert survey within the COST action INTERCEPTOR Working Group 2 (clinician-researchers with formal expertise in OPMDs). History of previous head and neck cancer, OPMD type, multifocality of the lesion clinical appearance and lifestyle habits received the highest weights in the survey on clinical prognostic factors. Future research priorities include development and validation of predictive models integrating clinical, histological, and molecular variables.

Rats are opportunistic omnivores, consuming both plant- and animal-derived foods, and therefore represent a suitable animal model for investigating the potential adverse effects of heterogeneous diets on hematological and biochemical blood profiles. The study included 18 Wistar rats of both sexes, aged 1–2 months, randomly allocated into three groups of six animals each. For a period of seven weeks, Group H was fed bakery products, Group M received meat and meat products, while the control Group K was fed a conventional pelleted diet. Biochemical parameters were analyzed from peripheral blood samples collected from the experimental animals. Statistically significant differences (p < 0.05) were identified among the groups for CREA, UREA, PHOS, Ca, TP, ALB, GLOB, ALB/GLOB, CHOL, and LIPA. No significant differences were observed for the remaining parameters. The biochemical findings indicate impaired renal function in rats from the meat-fed group, as evidenced by elevated creatinine, urea, phosphorus, and lipase levels. In addition, reduced concentrations of serum proteins, particularly albumin, were observed across all experimental groups, suggesting inadequate protein synthesis resulting from insufficient intake of essential amino acids and micronutrients required for normal liver function.

Deep Learning (DL)-based channel estimation has shown high accuracy and low latency in terrestrial 5G NR, but Low Earth Orbit (LEO) Non-Terrestrial Networks (NTNs) introduce Doppler and synchronization impairments that may require NTN-specific architectures. We test whether High-Efficiency Learning-based channel Estimation using dual Neural Attention (HELENA), originally designed for terrestrial channels, remains effective after NTN retraining and suitable across high-performance and power-constrained inference platforms. Its unchanged architecture is trained on paired receiver-compensated (NTN-1) and residual-impaired (NTN-2) datasets and compared with eight terrestrial-origin models trained on the same NTN data and the NTN-specific MDELAN-SISO. HELENA achieves the lowest observed SNR-averaged NMSE among the DL estimators in both conditions, including 55.8-62.7% lower linear-scale NMSE than MDELAN-SISO. All DL models degrade in NTN-2, demonstrating the challenge posed by residual Doppler and its associated impairments. On an RTX PRO 4500, HELENA achieves 0.0595 ms 99th-percentile (P99) inference latency, 88.1% below the 0.5 ms budget, with lower energy than its closest attention-based competitors. On a 10 W Jetson Orin NX, it retains a favorable accuracy-energy trade-off, but no model meets the P99 budget. Thus, HELENA needs no NTN-specific redesign for the evaluated task, while embedded tail latency remains an open challenge.

Safety, profitability, as well as energy and resource efficiency of hydropower plants require, among others, appropriate operation of hydraulic turbines, which involves reliable estimation and monitoring of water flow rate. In this work, computer simulation is used for investigation of water flow through the spiral casing of a hydraulic turbine under real operating conditions. The wall pressure at the pre-defined monitoring points in a radial plane, such as used in the Winter–Kennedy measurement method, is calculated for a range of water flow rates. The choice of the boundary-condition type downstream of the stay vanes and sensitivity to adopted turbulent-flow approach are also investigated. The numerical results agree well with the reference measurements. A relation is established between the computed monitoring pressure difference and the corresponding incoming flow rate. Having measured the static pressure at the given points, it can be used for continuous estimation of the water flow rate in the turbine under actual operating conditions.

ABSTRACT Extended-spectrum β-lactamase (ESBL)-producing Enterobacteriaceae are increasingly reported worldwide, emphasizing the need for rapid diagnostic tools to limit their spread and prevent outbreaks. Although CTX-M enzymes remain predominant, less common ESBLs such as GES, PER, and VEB are emerging and gaining clinical relevance. We developed simplex and multiplex lateral flow immunoassays (LFIAs) for the rapid detection of these ESBLs. Monoclonal antibodies were produced and incorporated into dedicated LFIA strips. The assays were evaluated using 116 WGS-characterized gram-negative bacteria (GNB) isolates expressing diverse β-lactamases and grown on various media. For testing, three colonies were suspended in 150 µL of extraction buffer, applied to the strips, and results were visually interpreted after 15 min. Both simplex and multiplex LFIAs achieved 100% sensitivity and specificity for detecting GES-, PER-, and VEB-producing isolates, irrespective of bacterial species, β-lactamase content, or growth conditions. The panel included prevalent variants of PER (n = 5, including PER-2), VEB (n = 9), and GES (n = 9, including ESBLs and carbapenemases). Detection limits for recombinant PER-1, VEB-1, and GES-1 were 5, 50, and 100 pg/mL, respectively, and 105, 106, and 106 CFU/mL for corresponding Acinetobacter baumannii producers grown in tryptic soy broth. Overall, these simplex and multiplex GES-, PER-, and VEB-targeting LFIAs provide a rapid, accurate, and user-friendly approach suitable for routine use in clinical microbiology laboratories. When combined with the NG-Test CTX-M MULTI assay, which detects the five major CTX-M groups, they may further enhance the overall detection of the most common ESBLs, particularly among non-fermenting GNB. IMPORTANCE Although less prevalent globally than CTX-M-type ESBLs, GES-, PER-, and VEB-type β-lactamases represent an important and often underrecognized mechanism of resistance, particularly in non-fermenting gram-negative pathogens. These enzymes are frequently associated with multidrug-resistant organisms and may significantly compromise available therapeutic options. The detection of the genes encoding these enzymes is often based on homemade PCR. Rapid diagnostic tests based on lateral flow immunoassays (LFIAs) have been successfully used to detect CTX-M-like ESBLs and the five main carbapenemases. Here, we demonstrated that GES, PER, and VEB enzymes can be readily detected by simplex or multiplex LFIAs from Enterobacterales, Pseudomonas aeruginosa, and Acinetobacter baumannii colonies. These assays are rapid (≤15 min), highly sensitive (105–106 CFU/mL), requiring no specialized equipment, thus offering a user-friendly alternative to molecular assays in clinical laboratories. These features align well with the World Health Organization ASSURED criteria (Affordable, Sensitive, Specific, User-friendly, Rapid, Equipment-free, and Deliverable). Although less prevalent globally than CTX-M-type ESBLs, GES-, PER-, and VEB-type β-lactamases represent an important and often underrecognized mechanism of resistance, particularly in non-fermenting gram-negative pathogens. These enzymes are frequently associated with multidrug-resistant organisms and may significantly compromise available therapeutic options. The detection of the genes encoding these enzymes is often based on homemade PCR. Rapid diagnostic tests based on lateral flow immunoassays (LFIAs) have been successfully used to detect CTX-M-like ESBLs and the five main carbapenemases. Here, we demonstrated that GES, PER, and VEB enzymes can be readily detected by simplex or multiplex LFIAs from Enterobacterales, Pseudomonas aeruginosa, and Acinetobacter baumannii colonies. These assays are rapid (≤15 min), highly sensitive (105–106 CFU/mL), requiring no specialized equipment, thus offering a user-friendly alternative to molecular assays in clinical laboratories. These features align well with the World Health Organization ASSURED criteria (Affordable, Sensitive, Specific, User-friendly, Rapid, Equipment-free, and Deliverable).

Introduction: Work-related musculoskeletal disorders (WRMSDs) are the most common work-related illnesses and describe a wide range of degenerative and inflammatory conditions affecting peripheral nerves, blood vessels, bones,joints, muscles, tendons, and ligaments. WRMSDs are one of the most common causes of absenteeism among nurses. Studies also indicate that as many as 87.8% of nurses in Europe have reported WRMSDs. Methods: The study involved 94 nurses and technicians of both genders who were involved in the daily provision of health services to patients. The study was conducted at the Public Institution of the Sarajevo Canton Health Center,the largest primary health care institution in Bosnia and Herzegovina, which, in addition to primary care, also provides specialist and consultative services. The study was designed as a cross-sectional descriptive-analytical study that included all respondents who met the inclusion criteria. The instruments used in the study were the standardized Dutch musculoskeletal discomfort questionnaire, modified for our research, and the standardized work ability index (WAI) questionnaire. Results: The highest frequency of WRMSDs in nurses was in the neck area (79.8%), followed by the upper back (71.3%), and, in third place, the lower back (64.9%). The average value of the WAI in the sample was 34.83 ± 8.35, with a median of 36.5. Conclusion: The results of our study indicate that the average value of the WAI in the examined sample was in the “good” category. Although the work ability of most respondents was assessed as satisfactory, there is also a group ofrespondents with moderate and poor work ability, which indicates a risk of further impairment of work functionality. The findings point to the need to include the examined group in a structured ergonomic intervention program aimed at preserving and improving work ability and preventing its further decline.

Ovaj rad proučava proces modernizacije i emancipacije Muslimanke u Bosni i Hercegovini nakon Drugoga svjetskog rata diskurzivnom analizom 28 brojeva lista Novo doba (1945. – 1946.), glasila Glavnoga odbora Muslimana. Poseban fokus stavljen je na načine na koje su medijski diskursi oblikovali novu ulogu žene u javnoj i privatnoj sferi, u skladu s ideološkim smjernicama socijalističke vlasti. Rezultati pokazuju da je Novo doba promoviralo oslobađanje žene od društvenih, kulturnih i religijskih ograničenja, ali pritom je ona predstavljana više kao objekt nego subjekt emancipacije. Obrazovanje, rad i uloga u obitelji prikazani su kao ključni instrumenti u stvaranju „novoga čovjeka” i socijalističkoga društva, dok je Muslimanka predstavljena kao saveznik socijalističkih ideja unutar projekta bratstva i jedinstva. Studija nudi novi uvid u ideološke i kulturno-političke prilike poratne Bosne i Hercegovine te otvara prostor za promišljanje o kontradikcijama između deklarativne slobode i stvarne društvene moći žene u socijalističkoj Jugoslaviji.

Introduction: The COVID-19 pandemic significantly influenced mental health worldwide. This study assessed the use of antidepressants, anxiolytics, antipsychotics, and mood stabilizers in Sarajevo Canton across three periods: before, during, and after the pandemic. Methods: The data used in this study were taken from the database of the production system of the Public Institution “Apoteke Sarajevo,” Bosnia and Herzegovina. The database contains a total of 1,764,582 records on the sale of individual drugs, i.e., 2,361,059 original packages of drugs that are the subject of this research. Prescription data for psychotropic medications in the adult population were analyzed and compared between the pre-pandemic, pandemic, and post-pandemic phases. Results: Antidepressant use increased by 2.76% during the pandemic and by an additional 3.82% afterward. Anxiolytics showed a reduction of 5.29% during the pandemic and a further 18.14% decline post-pandemic. Antipsychotic prescriptions increased by 5.26% during the pandemic but decreased by 8.65% in the following period. Mood stabilizers increased by 6.8% during the pandemic and fell by 5.57% afterward. The most commonly used drugs were escitalopram among antidepressants, lamotrigine among mood stabilizers, bromazepam and diazepam among anxiolytics, and sulpiride, haloperidol, and promazine among antipsychotics. Conclusion: The pandemic was associated with a rise in antidepressant and mood stabilizer use, likely reflecting heightened psychological stress and social isolation, whereas anxiolytics declined and antipsychotics fluctuated. These findings underline the lasting impact of the pandemic on community mental health and the need for improved preventive and therapeutic strategies.