<p>This study investigates the forming of the inside radius in thin sheet&nbsp; bending using nonlinear simulations in SolidWorks. Various V-die sizes were analyzed to evaluate their influence on the bending process. Simulation results were compared with actual bent components and existing data from literature to assess accuracy and reliability. The findings demonstrate a strong correlation between simulated and realworld results, confirming the validity of SolidWorks' nonlinear simulation&nbsp;<br />capabilities in predicting material behavior during air bending. These insights contribute to improved die selection and process optimization, ensuring enhanced bending accuracy for manufacturing applications</p>

<p><i>This paper aimed to examine whether the level of knowledge of the International Code of Ethics for Professional Accountants</i><i> </i><i>influences the readiness of accountants to act in accordance with its guidelines, even under pressure that can adversely affect their professional status. The survey was conducted among medium and large companies in the Federation of Bosnia and Herzegovina (FBiH) in 2023, with a sample of 71 respondents. The results have shown a positive connection between the level of knowledge of the Code and the willingness to take ethical action, including situations with potentially negative consequences, such as paying salaries or losing jobs, for respondents. Additionally, professional accountants who are more familiar with the Code are more likely to report the unethical behavior of management, either to relevant institutions or to the public. However, in the FBiH business practice so far, such treatment is a rarity, which indicates a gap between theoretical knowledge and actual behaviour.</i></p>

One of the data science techniques is the data analysis, based primarily on various techniques and methods application in order to acquire, analyze, interpret and eventually visualize the data. The aim of these techniques is the translation of the raw data into the useful information. In this study, a comprehensive data analysis of accessible geological and hydrogeological settings of terrain in zones near “Zelenica” and “Gornje Polje” springs (alluvium of river Drina) near Loznica, has been performed. The lithologic-technical profiles of observation and of water-sampling objects have been analysed, and results, obtained by geophysical methods, subsequently interpreted. Besides, the grain size analysis test, aquifer tests, precipitations monitoring and water-level of Drina river monitoring at specified precipitation-/water-gauge were performed too. Obtained results are used as a starting point for creating the hydrogeological model (and hydrodynamic one afterwards) of the research area. The main tools used were Microsoft Excel software (for data preparation and analyzing) and Modflow code (for hydrogeological and hydrodynamic models creation).

Like other domesticated species, most notably dogs, horses have been reported to follow human gestures and successfully use them to gain rewards in an object choice task. Empirical support for the hypothesis that a domain-general mechanism may underlie this ability comes from studies in which horses have successfully solved the task by using not just a human pointing gesture but also an arbitrary physical cue, namely a wooden marker. Here, we replicated the two conditions in which these two cues were used by Proops et al. (2010) with two critical changes: first, we positioned the marker out of the horses' sight, and second, we positioned the marker such that it was in the same position where the gesture would be when the experimenter showed the pointing gesture. Horses successfully solved the task using both the pointing gesture and the marker, and their performance did not differ statistically significantly between these two conditions. The robustness of this result was corroborated by complementary model comparisons, which further showed that the horses' performance was not significantly influenced by their age or sex. Our findings thus support the consistency of previously reported findings in these specific testing conditions and suggest that at least part of the horses' ability to solve the object choice task with different types of cues is based on a domain-general mechanism. (PsycInfo Database Record (c) 2025 APA, all rights reserved).

A novel heterobimetallic ruthenium(II)–gold(I) complex featuring a bridging bis(diphenylphosphino)butane (dppb) ligand was prepared and fully characterized. Single-crystal X-ray diffraction revealed a piano-stool geometry around Ru(II) with η6-cymene, two chlorido ligands, and one phosphorus atom from dppb, while the Au(I) center adopts a linear P–Au–Cl coordination. Structural integrity in the solution was confirmed by 1D and 2D NMR spectroscopy, while solution behavior was further monitored by variable solvent 31P NMR and UV/Vis spectroscopy, indicating that the organometallic Ru–arene core remains intact, whereas the chlorido ligands coordinated to Ru exhibit partial lability. Complementary characterization included elemental analysis, FTIR, and UV/Vis spectroscopy. Spectrofluorimetric and FRET analyses showed that Au(dppb), Ru(dppb), and the heterobimetallic AuRu complex bind to BSA with apparent constants of 1.41 × 105, 5.12 × 102, and 2.66 × 104 M−1, respectively, following a static quenching mechanism. In vivo biological evaluation in Wistar rats revealed no significant hepatotoxicity or nephrotoxicity, with only mild and reversible histological alterations and preserved hepatocyte nuclear morphology. Hematological analysis indicated a statistically significant reduction in leukocyte populations, suggesting immunomodulatory potential, while elevated serum glucose levels point to possible endocrine or metabolic activity. These findings highlight compound structural stability and intriguing bioactivity profile, making it a promising platform for further organometallic drug development and testing.

Significance As the world transitions from fossil fuels to a renewable energy-based economy, scalable, safe, and sustainable energy storage becomes essential to balance intermittent supply and demand. To address these needs, electron-conducting carbon concrete (ecˆ3) has emerged as a promising multifunctional material that unites structural performance with electrochemical energy storage, but its application has remained limited by low voltage and scalability challenges. Through nanoscale 3D imaging, electrolyte optimization, and multicell stacking, we demonstrate the production of high-voltage, energy-storing concrete components capable of powering devices and supporting mechanical loads. Our approach bridges architecture and energy systems, advancing ecˆ3 as a transformative material system for decarbonizing construction and enabling resilient infrastructure in the era of clean energy.

The accelerated transformation of the urban landscape of Sarajevo Canton increasingly becomes a space of contention among various interest groups - citizens, planners, investors, heritage disciplines, and local authorities. Establishing a model that involves respecting the interests of each of these groups or increasing the level of inclusivity in the decision-making process will lead to humane and sustainable solutions for the future use and visual shaping of public spaces. Unlike other design disciplines, the specificity of designing public spaces lies in the imperative of participation, mediation, and balancing the interests of multiple actors, ranging from the public and private sectors to planners, designers, researchers, and citizens. Local governments in the municipalities of Sarajevo Canton and other Bosnian Herzegovinian (B&H) cities have still not adopted participatory approach to urban planning. This paper explains research project that tests but also proposes a methodological approach in the public space planning strategy (with emphasis on integrating culture and shift of educational approach) as a critical response to the mismatch between the existing institutional approach of "top-down" planning with the technological and social dynamics of the digital age, as well as the real needs of the local community. This approach promises a more inclusive, sustainable, and community-driven future for public space planning. Case study: Cultural district Sarajevo (the space between the future Ars Aevi Museum, the Historical Museum of B&H, and the National Museum of B&H) and "urban voids" of Grbavica1.

In this study, the use of terpene‐based hydrophobic deep eutectic solvents (HDESs) in the preparation of polymeric membrane ion‐selective electrodes is presented. HDES obtained from terpenes (menthol and thymol) and octanoic acid are used as a new component of polymeric membrane of potentiometric sensors sensitive to lead ions. Electrodes containing different amounts of HDES in the membrane (from 1 to 12 % wt./wt.) are prepared, and potentiometric measurements are carried out for these electrodes to determine the detection limit, the slope of the characteristic, and the response linear range. Based on the analysis of electrode performance, it is found that the optimum concentration of HDES in the membrane is 5 wt%. For such membranes, a more detailed study is carried out using a solid contact sensor. Selectivity toward interfering species as well as potential stability and reversibility, optimum pH range, effect of light, and presence of gases in the sample solution are investigated for such sensors. The obtained measurement results indicate that the tested sensor containing HDES in the membrane has good analytical parameters, and excellent selectivity (log K ≤ −4.4). It has been successfully used to determine lead in real environmental water samples after a brief pretreatment with XAD‐7 resin.

This study explores the impact of female leadership on Environmental, Social, and Governance (ESG) performance in small and medium-sized enterprises (SMEs) in Bosnia and Herzegovina, a transitional economy. While prior research shows that gender-diverse boards improve corporate social responsibility (CSR) and ESG outcomes, most studies focus on large firms in developed markets. This study fills that gap by analyzing data from 131 SMEs that applied to the 2024 SDG Business Pioneers Award. Using descriptive statistics and correlation analysis, the research examines how women’s representation in management affects ESG priorities. Findings indicate a positive association between higher female participation and improved outcomes in ethics, innovation, productivity, and inclusivity. Companies with at least one-third women in leadership show stronger commitment to balanced and sustainable governance. In contrast, environmental practices are widely adopted across firms but appear less dependent on leadership composition. The study provides the first empirical evidence from Bosnia and Herzegovina on the gender–ESG link. It contributes to global debates on diversity and sustainability while offering practical insights for policymakers and managers. Promoting gender-inclusive leadership can enhance competitiveness, resilience, and alignment with international sustainability frameworks.

The recent hardware-accelerated microscaling 4-bit floating-point formats such as MXFP4 and NVFP4, supported on NVIDIA and AMD GPUs, promise to revolutionize large language model (LLM) inference. Yet, their practical benefits remain unproven. We present the first comprehensive study of MXFP4 and NVFP4 for post-training quantization, revealing gaps between their promise and real-world performance. Our analysis shows that state-of-the-art methods struggle with FP4, due to two key issues: (1) NVFP4's small group size provably neutralizes traditional outlier mitigation techniques; (2) MXFP4's power-of-two scale quantization severely degrades accuracy due to high induced error. To bridge this gap, we introduce Micro-Rotated-GPTQ (MR-GPTQ), a variant of the classic GPTQ quantization algorithm that tailors the quantization process to FP4's unique properties, by using block-wise Hadamard transforms and format-specific optimizations. We support our proposal with a set of high-performance GPU kernels that enable the MR-GPTQ format with negligible overhead, by rotation fusion into the weights, and fast online computation of the activations. This leads to speedups vs. FP16 of up to 3.6x layer-wise, and 2.2x end-to-end on NVIDIA B200, and of 6x layer-wise and 4x end-to-end on RTX5090. Our extensive empirical evaluation demonstrates that MR-GPTQ matches or outperforms state-of-the-art accuracy, significantly boosting MXFP4, to the point where it can near the accuracy that of NVFP4. We conclude that, while FP4 is not an automatic upgrade over INT4, format-specialized methods like MR-GPTQ can unlock a new frontier of accuracy-performance trade-offs.

Wetlands play a vital role in conserving waterbirds, particularly along major European river systems such as the Danube River and its tributaries. To promote the importance of wetlands and address the lack of data on bird biodiversity in aquatic ecosystems, this study was conducted to assess the baseline status of a demonstration site within the European project DaWetRest. The research focused on a lesser-studied pilot area, the Danube North of Kopački rit, near the village of Draž, located in the tri-border region of Croatia, Hungary, and Serbia. Systematic ornithological monitoring was carried out monthly from January to December 2024 across three monitoring areas (total transect length: 4200 m). A total of 26 bird taxa were recorded, comprising 2148 individual observations. The most dominant species were the Mallard (Anas platyrhynchos), Grey Heron (Ardea cinerea), and Great Cormorant (Phalacrocorax carbo). Conversely, the species that were the least present were White Stork (Ciconia ciconia), Squacco Heron (Ardeola ralloides), Great Crested Grebe (Podiceps cristatus), Eurasian Teal (Anas crecca), and Black Stork (Ciconia nigra). This study also examines the seasonal dynamics of waterbirds, providing essential baseline data for evaluating the effectiveness of upcoming restoration measures planned for the area.