Deformable medical image registration is a fundamental task in medical image analysis. While deep learning-based methods have demonstrated superior accuracy and computational efficiency compared to traditional techniques, they often overlook the critical role of regularization in ensuring robustness and anatomical plausibility. We propose DARE (Deformable Adaptive Regularization Estimator), a novel registration framework that dynamically adjusts elastic regularization based on the gradient norm of the deformation field. Our approach integrates strain and shear energy terms, which are adaptively modulated to balance stability and flexibility. To ensure physically realistic transformations, DARE includes a folding-prevention mechanism that penalizes regions with negative deformation Jacobian. This strategy mitigates non-physical artifacts such as folding, avoids over-smoothing, and improves both registration accuracy and anatomical plausibility

This study examines job performance among judo referees through the lens of personality traits during World Judo Tour events from 2018 to 2022. Sixty-three referees completed an online questionnaire including the Big Five Inventory (BFI) and the Conditions for Work Effectiveness Questionnaire (CWEQ-II). Data were analyzed using descriptive statistics, correlation analysis, and structural equation modeling (SEM). The measurement model showed acceptable validity and reliability, confirming the structural model. Support and resources emerged as the most influential factors affecting job satisfaction (JAS) and organizational role satisfaction (ORS). Incorporating refereeing experience at major events into the model indicated only partial model fit. Findings highlight the role of structural empowerment in mitigating job dissatisfaction among referees. Future research with larger samples should further strengthen the understanding of the relationship between personality traits, empowerment, and job performance.

ObjectiveTo evaluate the predictive value of LA strain parameters and LASI for AF recurrence following electrical CV, and to compare them to conventional echocardiographic, biochemical, and clinical markers.MethodsIn this prospective, observational pilot study, 31 patients with persistent AF underwent electrical CV and were followed for six months. Echocardiographic evaluation included LA reservoir, conduit, and contractile strain, left atrial stiffness index, left atrial volume index (LAVI), left atrial appendage (LAA) morphology, left ventricular ejection fraction (LVEF), right atrial (RA) area, and right ventricular systolic pressure (RVSP). AF recurrence was assessed at three and six months.ResultsAt three months post-CV, LA reservoir, conduit, and contractile strain values were significantly negatively associated with AF recurrence (p < 0.001), while LASI and E/E' ratios were positively associated (p < 0.001). At six months, only contractile strain retained prognostic significance (p = 0.008). LVEF showed a positive correlation with recurrence at six months (p = 0.003), potentially reflecting the role of diastolic dysfunction.ConclusionLA strain parameters and LASI are valuable tools for predicting AF recurrence after CV, particularly in the early post-procedural period. Contractile strain may serve as a more reliable long-term predictor, emphasizing the importance of longitudinal atrial function assessment in rhythm outcome prediction. However, given the small sample size and single-center design, these results should be considered hypothesis-generating, requiring validation in larger studies.

Aim: This manuscript summarizes the key scientific and practical outcomes of the #DHPSP2024 digital networking event, focusing on emerging trends in digital health technologies, innovations in patient safety, and their implications for improving healthcare delivery. Methods: The #DHPSP2024 event was held from June 18 to 20, 2024, on X (formerly Twitter) and LinkedIn, connecting professionals and stakeholders in digital health and patient safety from different sectors. Data from posts on X and LinkedIn were analyzed for geographical distribution, engagement metrics (impressions, likes, shares), top hashtags, and frequently used terms. A qualitative analysis of the central themes and key online messaging discussions of the network event was also conducted. Results: On X, 2,329 posts by 179 participants from 38 countries generated over 231,000 impressions, with the most activity in Austria, China, and India. LinkedIn engagement included 3,475 likes, 217 comments, and 2,030 shares. Both platforms highlighted core themes such as digital health, patient safety, treatment quality, research on natural compounds, and interdisciplinary collaboration. Online messaging discussions emphasized technologies like telemedicine and artificial intelligence as critical tools for enhancing care delivery and patient safety. Participants also promoted special issues of scientific journals and explored collaborative research opportunities. Conclusions: The #DHPSP2024 event underscored the pivotal role of digital technologies in transforming healthcare, particularly in improving the quality and safety of interventions. The findings demonstrate how digital networking events, grounded in open innovation, foster global research communities, accelerate knowledge exchange, and support the integration of clinically relevant digital solutions. The strong engagement reflects growing interest in leveraging digital platforms to advance health outcomes and professional development. Overall, the event contributed to greater visibility of ongoing research, encouraged interdisciplinary cooperation, and may positively influence both the adoption of innovations in healthcare practice and the dissemination of scientific knowledge.

Energy security is currently one of the most important topics worldwide. Maintaining a reliable energy supply is one of the biggest challenges in security science. Additionally, defending energy infrastructure from cyberattacks is an ongoing issue. Understanding the vulnerabilities of energy infrastructure, especially the Smart Grid, which relies on information technology and communications, is a significant advantage. Understanding which system vulnerabilities lead to specific cyber threats presents a significant opportunity, enhancing the defence of energy infrastructure. This paper uses a systematic literature review to identify the most common cyber threat and Smart Grid vulnerability mentioned and researched in the literature from 2018 to 2025. This paper also aims to map the vulnerabilities that allow for cyber threats to occur, with the idea that if we know what causes a weak spot, we can effectively prevent it. Identifying specific weaknesses that could lead to cyber threats allows us to mitigate these dangers by addressing and correcting those vulnerabilities.

Hepatitis E virus (HEV) is foodborne zoonotic pathogen widespread among European swine yet unstudied in Bosnia and Herzegovina (B&H). We estimated HEV seroprevalence in domestic pigs in Federation of B&H (FB&H) and assessed farm-level risk factors for exposure.Cross-sectional survey sampled 437 pigs from 87 farms across seven cantons via two-stage random design. Serum anti-HEV IgG measured by commercial indirect ELISA; managers completed standardized biosecurity/management questionnaire. Apparent seroprevalence calculated with 95% CIs. Univariable screening (α = 0.10) informed multivariable logistic regression with farm-level clustering; collinearity checked (Phi), AIC-guided forward selection applied.Animal-level seroprevalence 77.1% (95% CI 73.0–81.0%); herd-level 95.4% (88.9–98.7%). Adults showed higher seropositivity than growers (91.0% vs. 71.7%; p < 0.001). Significant factors: wild-boar proximity (adjusted POR 3.11; p = 0.04), small farm size (18.35; p < 0.001), swill feeding (5.70; p = 0.03). Cleaning ≥5×/month strongly protective (0.01; p < 0.001). All surveyed cantons had positives; no equivocal ELISA results.Findings indicate widespread HEV in FB&H swine with environmental, food-safety, and occupational implications. Older-animal pattern reflects cumulative exposure; small-farm context and wildlife interface likely sustain transmission, whereas frequent cleaning reduces risk. Strengthened biosecurity, wildlife exclusion, feed oversight (including prohibition/monitoring of swill feeding), and improved hygiene, should form basis of One Health interventions to mitigate potential zoonotic transmission via the pork production chain.

The paper presents the results of Cr, Co, Cu, Fe, Ni, Mn, Pb, Zn, and four radionuclides (226Ra,232Th, 137Cs, and 40K) determination in transplanted lichens after two, four, and six months of exposure. Lichens were sampled from the area of Mountain Igman in Bosnia and Herzegovina (BiH) and transplanted to two locations (Pofalići and Bjelave) in Sarajevo, the capital city of BiH. The total metals content was determined by flame atomic absorption spectrometry (FAAS). Gamma spectrometry (GS) was used for radionuclide activity determination. Content of Cr, Co, Cu, Fe, Mn, Ni, Pb an Zn in lichen after two, four, and six months of exposure ranged as follows: <LOD-0.61, <LOD-1.55, 3.85-8.08, 332.5-497.9, 19.68-31.65, 2.29-4.24, <LOD-10.30, 32.76-58.58 µg/g, respectively. Cr was not detected in exposed lichen samples. A very strong positive correlation for Cu-Cu, Cu-Fe, Cu-Pb, Cu-Zn, Ni-Ni and Fe-Fe was obtained in lichens, while a strong correlation was between Co-Zn, Co-Cu, Pb-Pb and Mn-Mn. The specific activity of 137Cs ranged from 19.95 to 56.66 Bq/kg, while for 40K ranged from 49.65 to 330.61 Bq/kg. The specific activity of 226Ra and 232Th was below the GS limit of detection.

In this study, ethanolic and petroleum ether extracts of commercial cloves were prepared and analyzed. Soxhlet extraction (SE) and ultrasonic extraction (UAE) were used to prepare the extracts. Phytochemicals from plant material were extracted for 2 hours, in the case of both extraction techniques. The content of total polyphenols and flavonoids, as well as their antioxidant and antibacterial activity, were analyzed in the extracts. The results show an extremely high content of total polyphenols, which was also confirmed by the high antioxidant capacity, confirmed by DPPH and FRAP methods. Antibacterial screening on reference bacterial strains from the WDCM collection shows high potency of clove extracts at the tested concentration. In terms of the efficiency of extraction of bioactive components, petroleum ether in combination with ultrasonic extraction is the most effective. These results may contribute to further research and optimization of the extraction of biologically active components from cloves and related plant materials.

The complete classification of the saddle-point solutions for high-order above-threshold ionization, presented in and for a linearly polarized laser field, is generalized to the case of an arbitrary bichromatic elliptically polarized field. We first present the classification of the saddle-point solutions for the case of a monochromatic elliptically polarized driving field, which is the simplest example of the field that has two components, i.e., that evolves in the plane. For a bichromatic laser field whose elliptically polarized components have the frequencies rω and sω (r and s are integers, s>r, and ω is the fundamental frequency), the system of the saddle-point equations has 8s2 solutions per optical cycle. One-half of these solutions are the so-called backward-scattering solutions for which the direction of the electron motion is significantly affected by the rescattering. The other half are the forward-scattering solutions for which the electron is only slightly deflected during the rescattering event. For some specific field configurations, the number of saddle-point solutions can be smaller. For example, for a bicircular field, which consists of two counterrotating circularly polarized components, there are 4s(r+s) solutions, while for the corotating configuration there are 4s2 solutions. As an application, we have shown that for a monochromatic elliptically polarized laser field, all four threshold anomalies appear in the spectra of the rescattered photoelectrons.

Authors in this paper investigates the relationship between the business environment and the operating performance of the plastic products manufacturing sector intended for the construction industry in Bosnia and Herzegovina (BiH). The focus is placed on how regulatory and institutional conditions impact economic indicators such as sales revenue growth, profit, export earnings, total assets, and employment. Since empirical studies in this area are scarce, this research contributes to filling an important academic gap. The study relies on both secondary and primary data sources. First, the business environment of BiH is evaluated using reports. Second, financial and operational data were collected for the top 20 companies in the plastic products manufacturing sector for the construction industry in BiH. The analysis covers the period 2015–2024, using indicators of revenue, profit, exports, total assets, and number of employees. A trend analysis was conducted to identify growth patterns, while a qualitative assessment was applied to connect these trends with the conditions of the business environment. The analysis of company performance reveals a positive growth trend in all major economic categories. Sales revenue steadily increased between 2015 and 2024, reflecting growing demand in the markets. Profitability improved despite regulatory barriers, indicating a strong adaptive capacity of firms. Export earnings expanded, showing that plastic product manufacturers. Total assets of the companies grew significantly, suggesting reinvestment and capacity expansion. Employment levels also increased, underscoring the sector’s contribution to job creation. These results support the hypothesis of a significant impact of the plastic products manufacturing industry on economic performance indicators in BiH.