This issue, 75/1 is mostly dedicated to the environmental impact of landslides, which, due to current climate change, are becoming more and more pronounced around the world and in the Republic of Croatia. The six papers (BOSTJANČIĆ et al., 2022, Fig. 1 poly­ gon 1; FILIPOVIĆ et al., 2022, Fig. 1 polygon 2; FRANGEN et al., 2022, Fig. 1 polygon 3; GULAM et al., 2022, Fig. 1 polygon 4; PODOLSZKI et al., 2022, Fig. 1 polygon 5; POLLAK et al., 2022, Fig. 1 polygon 6) focusing on landslides are the result of the work of a large team of people from the Croatian Geological Sur­ vey, carried out within the framework of the safEarth project, cofinanced by the ERDF and IPA II funds of the European Union. As a part of the Interreg IPA – Cross-border Cooperation Programme Croatia – Bosnia and Herzegovina – Montenegro 2014-2020, the safEarth project was based on cross-border coop­ eration of four partner institutions, namely the Croatian Geological Survey (lead partner), Geological Survey of Montenegro, Faculty of Mining, Geology and Civil Engineering of the Univer­ sity of Tuzla and the Development Agency Žepče d.o.o. The main project activities were focused on landslide susceptibility maps (LSM) as one of the most important data sets in spatial planning The use of high-resolution LiDAR scanning in the research of small landslides based on Croatian examples

Just weeks away from the Opening Ceremony of the Beijing 2022 Winter Olympics, the United States, followed by Australia, the United Kingdom, and Canada, has declared a diplomatic boycott of the Games. A diplomatic boycott stipulates that while government officials of these countries will not attend the event, the athletes' scheduled attendance will largely remain intact. An unintended consequence of the boycotts is that they force the attending athletes to cope with the stress and distress associated with the 2022 Winter Olympics in an unfamiliar environment on their own. It is important to underscore that many of the challenges the athletes could face amid the Games are either deep-rooted or unprecedented, ranging from stressors fuelled by the nonstop media reports, the competitions, to the Omicron scares. These insights combined, in turn, underscore the imperative for effective and preemptive mental health support for Olympic athletes. To shed light on the issue, this paper highlights the reasons why timely solutions are needed to adequately safeguard Olympic athletes' mental health and overall wellbeing, and underlines promising technology-based solutions that can be cost-effectively designed and developed for the athletes.

U testu provenijencija hrasta lužnjaka (Quercus robur L.) u Bosni i Hercegovini koji je osnovan 2009. godine istraživana je varijabilnost visina biljaka i promjera vrata korijena na biljkama iz 27 provenijencija. Osim toga, analizirane su i korelacije između visina stabala i promjera vrata korijena s morfološkim svojstvima listova iz prirodnih populacija. Sjeme za osnivanje testova provenijencija, kao i listovi koji su korišteni u morfometrijskoj analizi, sakupljeni su u istim populacijama. Provedenim istraživanjima utvrđene su statistički značajne razlike za svojstvo visine i promjera vrata korijena. Varijabilnost je potvrđena i Duncan-ovim testom, i to na način da su biljke s obzirom na svojstvo visina grupirane u 11 skupina te s obzirom na svojstvo promjer vrata korijena u četiri skupine. Klasterskom analizom nije utvrđeno grupiranje populacija s obzirom na geografske i ekološke udaljenosti populacija. Korelacijskom analizom potvrđena je statistički značajna povezanost između visine biljaka i promjera vrata korijena te između morfoloških svojstava listova i visine biljaka i promjera vrata korijena. Dobiveni rezultati upućuju na to da se na temelju određenih morfoloških svojstava može provoditi selekcija provenijencija u mlađim fazama razvoja.

Skin lesions can be an early indicator of a wide range of infectious and other diseases. The use of deep learning (DL) models to diagnose skin lesions has great potential in assisting clinicians with prescreening patients. However, these models often learn biases inherent in training data, which can lead to a performance gap in the diagnosis of people with light and/or dark skin tones. To the best of our knowledge, limited work has been done on identifying, let alone reducing, model bias in skin disease classification and segmentation. In this paper, we examine DL fairness and demonstrate the existence of bias in classification and segmentation models for subpopulations with darker skin tones compared to individuals with lighter skin tones, for specific diseases including Lyme, Tinea Corporis and Herpes Zoster. Then, we propose a novel preprocessing, data alteration method, called EdgeMixup, to improve model fairness with a linear combination of an input skin lesion image and a corresponding a predicted edge detection mask combined with color saturation alteration. For the task of skin disease classification, EdgeMixup outperforms much more complex competing methods such as adversarial approaches, achieving a 10.99% reduction in accuracy gap between light and dark skin tone samples, and resulting in 8.4% improved performance for an underrepresented subpopulation.

Background Bosnia and Herzegovina is among ten countries in the world with the highest mortality rate due to COVID-19. Lack of lockdown, open borders, high mortality rate, no vaccination plan, and strong domestic anti-vaccination movement present serious COVID-19 concerns in Bosnia and Herzegovina. In such circumstances, we set out to study 1) the willingness of general public to receive the vaccine, 2) factors that affect vaccine rejection, and 3) motivation for vaccine acceptance. Methods A cross-sectional study was conducted among 10471 adults in Bosnia and Herzegovina to assess the acceptance or rejection of participants toward COVID-19 vaccination. Using a logistic regression model, we examined the associations of sociodemographic characteristics with vaccine rejection, reasons for vaccine hesitancy, preferred vaccine manufacturer, and information sources. Results Surprisingly, only 25.7% of respondents indicated they would like to get a COVID-19 vaccine, while 74.3% of respondents were either hesitant or completely rejected vaccination. The vaccine acceptance increased with increasing age, education, and income level. Major motivation of pro-vaccination behavior was intention to achieve collective immunity (30.1%), while the leading incentive for vaccine refusal was deficiency of clinical data (30.2%). The Pfizer-BioNTech vaccine is shown to be eightfold more preferred vaccine compared to the other manufacturers. For the first time in Bosnia, vaccine acceptance among health care professionals has been reported, where only 39.4% of healthcare professionals expressed willingness to get vaccinated. Conclusion With the high share of the population unwilling to vaccinate, governmental impotence in securing the vaccines supplies, combined with the lack of any lockdown measures suggests that Bosnia and Herzegovina is unlikely to put COVID-19 pandemic under control in near future.

The goal of this part of the study was to optimize the sequencing procedure for 16 human genes and their regulatory regions that might be associated with differential immunological response to COVID-19. The study was performed on 60 COVID-19 patients from the General Hospital of Tešanj, Bosnia and Herzegovina, categorized into three groups of mild, moderate, and severe clinical manifestation, based on the diagnosis by the residential physician. Target coding sequences and their regulatory regions were amplified for the following genes: HLA-A, HLA-B, HLA-C, ACE2, IL-6, IL-4, TMPRSS2, IFITM3, IL-12, RIG-I/DDX58, IRF-7, IRF-9, IL-1B, IL-1A, CD55, and TNF-α. DNA was isolated from the whole blood samples stored at -20°C for six months using QIAamp® DNA Mini Kit according to manufacturer’s instructions. Since NGS analysis of target genomic regions was performed on the Ion Torrent GeneStudio™ S5 platforms, libraries were prepared using Ion AmpliSeq™ Library Kit Plus according to manufacturer’s instructions in a protocol optimized for low-quality DNA. Due to dissatisfactory sequencing results, further protocol optimization steps were employed through separating two primer pools, increasing the number of PCR cycles, and decreasing the annealing temperature for the primer pool which showed poorer amplification results. In the end, 36 samples produced optimal results, while the remaining 24 samples will be re-sequenced following repeated sample collection and DNA isolation, accompanied by additional protocol modifications.

Abstract Historically, two angel shark species, common angel shark Squatina squatina and smoothback angel shark Squatina oculata, were common in the upper continental shelf of the eastern Adriatic Sea. Although both species are considered critically endangered in the Adriatic and the rest of the world, there are almost no data on the current status of populations, threat assessment and species-specific in-situ conservation. Common angel shark is still present in highly fragmented areas of the eastern Adriatic with extremely rare but consistent records, while smoothback angel shark is mostly considered regionally extinct in the Adriatic due to overfishing and overuse of non-selective fishing gear. There have been only 3 published records of common angel shark this century, the last two of which were reported by fishermen. This paper presents data on 34 new finds, including neonates, juveniles, subadults and adults recorded between January 2020 and August 2021 in the Zadar-Šibenik archipelago (central Adriatic) and one in Premantura (northern Adriatic). Two are original findings during the field expedition, 9 were reported directly by local fishermen, while 23 were reported through a detailed questionnaire. Additionally, plausible breeding and/or nursery grounds between Zadar and Šibenik are discussed with their importance for revitalization and long-term conservation in situ.

Meeting sustainable food production challenges requires efficient ways to manage nutrients and mitigate the losses of nitrogen (N) and phosphorus (P) to water. Future nutrient management therefore requires a clearer understanding of the relative influence of soils, geology, farm practice, landscape and weather on the propensity for nutrients to be lost to water. Within the Agricultural Catchments Programme (ACP), environmental, agronomic and socioeconomic data have been gathered since 2009, using the same experimental methodology in five meso-scale river catchments, and one karst spring zone, covering a range of soils, landscapes and farming systems. The ACP has contributed to a better understanding of nutrient mobilisation and transfer pathways and highlighted the influence of the physical and chemical environment as well as agricultural and meteorological drivers on diffuse nutrient loss to ground and surface waters. The environmental quality standards were breached for N and/or P in some of the catchments, but for different reasons and not always clearly linked to the source pressures within the catchment. There are clearly no one-size-fits-all solutions for mitigation of nutrient losses to water. A better understanding of the underlying processes is required to identify critical source areas, to select mitigation strategies, when to implement them and to build realistic expectations of their impact. Sustainability in an agricultural setting is not confined to environmental issues, but also includes social, economic and innovative aspects. To maximise farmers’ uptake of environmental measures, the actions should encompass all these aspects of sustainability. Integrated knowledge transfer is key.

Disruption of the alveolar–endothelial barrier caused by inflammation leads to the progression of septic acute lung injury (ALI). In the present study, we investigated the beneficial effects of simvastatin on the endotoxin lipopolysaccharide (LPS)-induced ALI and its related mechanisms. A model of ALI was induced within experimental sepsis developed by intraperitoneal injection of a single non-lethal LPS dose after short-term simvastatin pretreatment (10–40 mg/kg orally). The severity of the lung tissue inflammatory injury was expressed as pulmonary damage scores (PDS). Alveolar epithelial cell apoptosis was confirmed by TUNEL assay (DNA fragmentation) and expressed as an apoptotic index (AI), and immunohistochemically for cleaved caspase-3, cytochrome C, and anti-apoptotic Bcl-xL, an inhibitor of apoptosis, survivin, and transcriptional factor, NF-kB/p65. Severe inflammatory injury of pulmonary parenchyma (PDS 3.33 ± 0.48) was developed after the LPS challenge, whereas simvastatin significantly and dose-dependently protected lung histology after LPS (p < 0.01). Simvastatin in a dose of 40 mg/kg showed the most significant effects in amelioration alveolar epithelial cells apoptosis, demonstrating this as a marked decrease of AI (p < 0.01 vs. LPS), cytochrome C, and cleaved caspase-3 expression. Furthermore, simvastatin significantly enhanced the expression of Bcl-xL and survivin. Finally, the expression of survivin and its regulator NF-kB/p65 in the alveolar epithelium was in strong positive correlation across the groups. Simvastatin could play a protective role against LPS-induced ALI and apoptosis of the alveolar–endothelial barrier. Taken together, these effects were seemingly mediated by inhibition of caspase 3 and cytochrome C, a finding that might be associated with the up-regulation of cell-survival survivin/NF-kB/p65 pathway and Bcl-xL.

Abstract not available Bangladesh Journal of Medical Science Vol. 21 No. 02 April’22 Page : 221-232

The choroid plexus has been shown to play a crucial role in CNS inflammation. Previous studies found larger choroid plexus in multiple sclerosis (MS) compared with healthy controls. However, it is not clear whether the choroid plexus is similarly involved in MS and in neuromyelitis optica spectrum disorder (NMOSD). Thus, the aim of this study was to compare the choroid plexus volume in MS and NMOSD.In this retrospective, cross-sectional study, patients were included by convenience sampling from 4 international MS centers. The choroid plexus of the lateral ventricles was segmented fully automatically on T1-weighted MRI sequences using a deep learning algorithm (Multi-Dimensional Gated Recurrent Units). Uni- and multivariable linear models were applied to investigate associations between the choroid plexus volume, clinically meaningful disease characteristics, and MRI parameters.We studied 180 patients with MS and 98 patients with NMOSD. In total, 94 healthy individuals and 47 patients with migraine served as controls. The choroid plexus volume was larger in MS (median 1,690 µL, interquartile range [IQR] 648 µL) than in NMOSD (median 1,403 µL, IQR 510 µL), healthy individuals (median 1,533 µL, IQR 570 µL), and patients with migraine (median 1,404 µL, IQR 524 µL; all p < 0.001), whereas there was no difference between NMOSD, migraine, and healthy controls. This was also true when adjusted for age, sex, and the intracranial volume. In contrast to NMOSD, the choroid plexus volume in MS was associated with the number of T2-weighted lesions in a linear model adjusted for age, sex, total intracranial volume, disease duration, relapses in the year before MRI, disease course, Expanded Disability Status Scale score, disease-modifying treatment, and treatment duration (beta 4.4; 95% CI 0.78–8.1; p = 0.018).This study supports an involvement of the choroid plexus in MS in contrast to NMOSD and provides clues to better understand the respective pathogenesis.

This paper deals with the issue of planning the end-of-life phase of motor vehicle life cycles in Serbia and Montenegro. This topic is trending around sustainability issues, given the very unfavorable age structure of vehicles and the increasing import of used cars, which intensifies the problem of the number of waste vehicles. On average, a motor vehicle is in active use for a period of 10 to 15 years. Individual phases of its life cycle are indicated differently, using multiple parameters. All phases are influenced by many factors, but this paper focuses on the phases of active use and the end of life of a motor vehicle. This paper investigates these two phases in terms of the influencing elements. The main aim of this study is to lay the foundations for making adequate decisions on how to handle end-of-life vehicles, from the perspective of their drivers. The study includes performing quantitative research analysis via the k-means clustering technique on a sample of 1240 drivers (private and commercial vehicles), in order to draw concrete conclusions through appropriate statistical analysis. The key findings suggest that different market, business, and environment indicators define the phases of active use and end of life, throughout the life cycle of a motor vehicle. Future research will expand the sample to surrounding countries.

Background: Hypertension remains a major risk factor for cardiovascular diseases, but the underlying mechanisms are not well understood. We hypothesize that appropriate mechanotransduction and contractile function in vascular smooth muscle cells are crucial to maintain vascular wall integrity. The Hippo pathway effectors YAP (yes-associated protein 1) and TAZ (WW domain containing transcription regulator 1) have been identified as mechanosensitive transcriptional coactivators. However, their role in vascular smooth muscle cell mechanotransduction has not been investigated in vivo. Methods: We performed physiological and molecular analyses utilizing an inducible smooth muscle–specific YAP/TAZ knockout mouse model. Results: Arteries lacking YAP/TAZ have reduced agonist-mediated contraction, decreased myogenic response, and attenuated stretch-induced transcriptional regulation of smooth muscle markers. Moreover, in established hypertension, YAP/TAZ knockout results in severe vascular lesions in small mesenteric arteries characterized by neointimal hyperplasia, elastin degradation, and adventitial thickening. Conclusions: This study demonstrates a protective role of YAP/TAZ against hypertensive vasculopathy.

Shear wave elastography (SWE) is an ultrasound‐based stiffness quantification technology that is used for noninvasive liver fibrosis assessment. However, despite widescale clinical adoption, SWE is largely unused by preclinical researchers and drug developers for studies of liver disease progression in small animal models due to significant experimental, technical, and reproducibility challenges. Therefore, the aim of this work was to develop a tool designed specifically for assessing liver stiffness and echogenicity in small animals to better enable longitudinal preclinical studies. A high‐frequency linear array transducer (12‐24 MHz) was integrated into a robotic small animal ultrasound system (Vega; SonoVol, Inc., Durham, NC) to perform liver stiffness and echogenicity measurements in three dimensions. The instrument was validated with tissue‐mimicking phantoms and a mouse model of nonalcoholic steatohepatitis. Female C57BL/6J mice (n = 40) were placed on choline‐deficient, L‐amino acid‐defined, high‐fat diet and imaged longitudinally for 15 weeks. A subset was sacrificed after each imaging timepoint (n = 5) for histological validation, and analyses of receiver operating characteristic (ROC) curves were performed. Results demonstrated that robotic measurements of echogenicity and stiffness were most strongly correlated with macrovesicular steatosis (R2 = 0.891) and fibrosis (R2 = 0.839), respectively. For diagnostic classification of fibrosis (Ishak score), areas under ROC (AUROCs) curves were 0.969 for ≥Ishak1, 0.984 for ≥Ishak2, 0.980 for ≥Ishak3, and 0.969 for ≥Ishak4. For classification of macrovesicular steatosis (S‐score), AUROCs were 1.00 for ≥S2 and 0.997 for ≥S3. Average scanning and analysis time was <5 minutes/liver. Conclusion: Robotic SWE in small animals is feasible and sensitive to small changes in liver disease state, facilitating in vivo staging of rodent liver disease with minimal sonographic expertise.