<p>S obzirom na značajni utjecaj Rimskog statuta iz 1998. na način na koji<br />Krivični zakon Bosne i Hercegovine definira krivična djela protiv čovječnosti,<br />ratne zločine i zločin genocida, u ovom radu će se razmatrati pravni pojmovi<br />seksualnog nasilja u svojim različitim vrstama pojava, među kojima silovanje,<br />prisilna trudnoća, seksualno ropstvo, prisilna prostitucija i prisilna sterilizacija.<br />Vremenskim i prostornim fokusom na međunarodni oružani sukob u Bosni i<br />Hercegovini, navedeni će oblici seksualnog nasilja biti kontekstualizirani kako<br />bi se istovremeno identificirale i dodatne implikacije na pravnoj ravni, no i na<br />posebne kategorije žrtava koje su nepotpuno ili samo djelomično priznate. Ispitati<br />će se poveznica između statuta međunarodnih sudova i tribunala, na jednoj strani,<br />i posljedičnog bosanskohercegovačkog tumačenja u teoriji i praksi navedenih<br />međunarodnih zločina. Teoretski prostor ogleda se u hronolo&scaron;kome identificiranju<br />razvojnih etapa u izgrađivanju dana&scaron;njih pravnih koncepcija, odnosno jedna<br />analiza bit će načinjena na vi&scaron;e nivoa: ispitat će se lokalne koncepcije naspram<br />međunarodnih, te naknadno na zasebnim nivoima Suda Bosne i Hercegovine,<br />Međunarodnoga krivičnoga tribunala za biv&scaron;u Jugoslaviju i ostalih sudova i<br />tribunala. Kori&scaron;tenjem komparativnih i kategorizacijskih zaključaka iz prije<br />navedene sekcije, problematizirat će se i pitanja poput sudskoga tumačenja<br />spolnoga aspekta u pogledu analiziranih slučajeva, kao i svakodnevnih posljedica<br />žrtava pojedinih kategorija. Iako se rad dominantno fokusira na pravnu dimenziju<br />seksualnog nasilja u oružanom sukobu, istovremeno se nudi i analiza s aspekta<br />tranzicijske pravde u Bosni i Hercegovini, odnosno, problematizira se primjena<br />reparacija žrtava kao mehanizma tranzicijske pravde.</p>

The paper consists of two, methodological and analytical, separate parts, which share the character and work of Aleksa Šantić. The first part tries, through an overview of critical valorisation, to literary critically understand the entire poetic creation of Aleksa Šantić, posing the fundamental research question of why Šantić is considered a great poet, even though his poetry, taken as a whole, viewed from an aesthetic perspective, cannot be qualified as “great”. Above all, based on the insight of criticism into the consideration of the aesthetic value of Šantić’s poetry and the conclusions derived from the comparison of already existing and own reflections, the above question is answered with the hypothesis that Šantić’s “mythical” greatness is the result of the “ordinariness” of his poetry and the ability to give that “ordinariness” a sublime sense of the “topos” of spiritual preoccupation, on the semantic level, and on the syntactic level, expressed in a simple style and phrases close to the cognitive needs of the peoples’ consciousness. The second part of the paper presents a documentary-historical and archival-library contribution to the research of the character and works of Aleksa Šantić, and appears as a separate review of the legacy of manuscript material kept by the National and University Library of Bosnia and Herzegovina within the Department of Special Collections. The legacy consists of letters, correspondence, photographs, letter cards, and postcards. These biographical and historical documents serve as a source for a factual introduction to a part of Šantić’s life and activities. The work is the result of research conducted on the basis of the project “Unification of materials on the cultural and historical heritage of Aleksa Šantić” financed by the Federal Ministry of Education and Science.

Nonlinear optics lies at the heart of classical and quantum light generation. The invention of periodic poling revolutionized nonlinear optics and its commercial applications by enabling robust quasi-phase-matching in crystals such as lithium niobate. However, reaching useful frequency conversion efficiencies requires macroscopic dimensions, limiting further technology development and integration. Here we realize a periodically poled van der Waals semiconductor (3R-MoS2). Owing to its large nonlinearity, we achieve a macroscopic frequency conversion efficiency of 0.03% at the relevant telecom wavelength over a microscopic thickness of 3.4 μm (that is, 3 poling periods), 10–100× thinner than current systems with similar performances. Due to intrinsic cavity effects, the thickness-dependent quasi-phase-matched second harmonic signal surpasses the usual quadratic enhancement by 50%. Further, we report the broadband generation of photon pairs at telecom wavelength via quasi-phase-matched spontaneous parametric down-conversion, showing a maximum coincidence-to-accidental ratio of 638 ± 75. This work opens the new and unexplored field of phase-matched nonlinear optics with microscopic van der Waals crystals, unlocking applications that require simple, ultra-compact technologies such as on-chip entangled photon-pair sources for integrated quantum circuitry and sensing. Researchers created a periodically poled van der Waals semiconductor (3R-MoS2) and achieved a macroscopic frequency conversion efficiency of 0.03% over a thickness of 3.4 μm. The quasi-phase-matched second harmonic signal surpasses the usual quadratic enhancement by 50% and broadband generation of photon pairs at telecom wavelength is demonstrated with a coincidence-to-accidental ratio of 638 ± 75.

Power-law scaling indicates that large-scale training with uniform sampling is prohibitively slow. Active learning methods aim to increase data efficiency by prioritizing learning on the most relevant examples. Despite their appeal, these methods have yet to be widely adopted since no one algorithm has been shown to a) generalize across models and tasks b) scale to large datasets and c) yield overall FLOP savings when accounting for the overhead of data selection. In this work we propose a method which satisfies these three properties, leveraging small, cheap proxy models to estimate"learnability"scores for datapoints, which are used to prioritize data for the training of much larger models. As a result, our models require 46% and 51% fewer training updates and up to 25% less total computation to reach the same performance as uniformly trained visual classifiers on JFT and multimodal models on ALIGN. Finally, we find our data-prioritization scheme to be complementary with recent data-curation and learning objectives, yielding a new state-of-the-art in several multimodal transfer tasks.

We perform a systematic comparison between photoelectron momentum distributions computed with the rescattered-quantum orbit strong-field approximation (RQSFA) and the Coulomb-quantum orbit strong-field approximation (CQSFA). We exclude direct, hybrid, and multiple scattered CQSFA trajectories, and focus on the contributions of trajectories that undergo a single act of rescattering. For this orbit subset, one may establish a one-to-one correspondence between the RQSFA and CQSFA contributions for backscattered and forward-scattered trajectory pairs. We assess the influence of the Coulomb potential on the ionization and rescattering times of specific trajectory pairs, kinematic constraints determined by rescattering, and quantum interference between specific pairs of trajectories. We analyze how the Coulomb potential alters their ionization and return times, and their interference in photoelectron momentum distributions. We show that Coulomb effects are not significant for high or medium photoelectron energies and shorter orbits, while, for lower momentum ranges or longer electron excursion times in the continuum, the residual Coulomb potential is more important. We also assess the agreement of both theories for different field parameters, and show that it improves with the increase of the wavelength.

An integrated approach using phylogeographic data, climate modelling, and network analysis unlocks insights into the post-glacial expansion of the sand fly Phlebotomus mascittii in Europe and suggests two potential (parallel) dispersal routes. Phlebotomine sand flies (Diptera: Phlebotominae) are the principal vectors of Leishmania spp. (Kinetoplastida: Trypanosomatidae). In Central Europe, Phlebotomus mascittii is the predominant species, but largely understudied. To better understand factors driving its current distribution, we infer patterns of genetic diversity by testing for signals of population expansion based on two mitochondrial genes and model current and past climate and habitat suitability for seven post-glacial maximum periods, taking 19 climatic variables into account. Consequently, we elucidate their connections by environmental-geographical network analysis. Most analyzed populations share a main haplotype tracing back to a single glacial maximum refuge area on the Mediterranean coasts of South France, which is supported by network analysis. The rapid range expansion of Ph. mascittii likely started in the early mid-Holocene epoch until today and its spread possibly followed two routes. The first one was through northern France to Germany and then Belgium, and the second across the Ligurian coast through present-day Slovenia to Austria, toward the northern Balkans. Here we present a combined approach to reveal glacial refugia and post-glacial spread of Ph. mascittii and observed discrepancies between the modelled and the current known distribution might reveal yet overlooked populations and potential further spread.

Isolation-by-distance (IBD) pattern among bilberry (Vaccinium myrtillus L.) populations has previously been reported for this species in northern Europe. However, the number of molecular studies conducted on bilberry, using everything from isoenzymes, RAPDs to microsatellite markers, are very few and far between. Considering that Bosnia and Herzegovina (B&H) is a country rich with diverse fruit genetic resources, conducting a genetic characterization of the naturally occurring V. myrtillus populations could yield valuable data for the conservation and utilization of this resource. This study entailed genotyping samples collected from three bilberry populations located in Fojnica, Kladanj, and Srebrenica municipalities using seven polymorphic microsatellite or SSR (simple sequence repeats) markers. The obtained molecular data was used to calculate the correlation between the physical distance of the individual B&H populations and a parameter of the genetic differentiation (pairwise Fst). The results of the correlation analyses revealed an absence of a significant isolation-by-distance pattern among the three examined B&H bilberry populations. In addition, the most pronounced genetic differentiation was detected between the Srebrenica and each of the two remaining B&H populations. At the same time, the values for pFst were significant, albeit much lower, between the Fojnica and Kladanj populations. Bilberries from the sampled Srebrenica population appear to be distinct from the other B&H populations, possibly due to the different genetic origin of this population.

Cobalt’s pivotal role in global development, especially in lithium-ion batteries, entails driving increased demand and strengthening global trading networks. The production of different waste solutions in metallurgical operations requires the development of an environmentally friendly research strategy. The ultrasonic spray pyrolysis and hydrogen reduction method were chosen to produce nanosized magnetic powders from waste solution based on iron and cobalt obtained during the purification process of used polycrystalline diamond blanks. With specific objectives focused on investigating the impact of reaction temperature and residence time on the morphology, chemical composition, and crystal structure of synthesized nanosized cobalt powders, our research involved 15 experimental runs using two reactors with varying residence times (7.19 s and 23 s) and distinct precursors (A, B, and C). Aerosol droplets were reduced at 600 to 900 °C with a flow rate of 3 L/min of argon and hydrogen (1:2). Characterization via scanning electron microscopy (SEM), energy dispersive spectroscopy (EDS), and X-ray diffraction revealed that higher temperatures influenced the spherical particle morphology. Altering cobalt concentration in the solution impacted the particle size, with higher concentrations yielding larger particles. A short residence time (7.9 s) at 900 °C proved optimal for cobalt submicron synthesis, producing spherical particles ranging from 191.1 nm to 1222 nm. This research addresses the environmental significance of recovering magnetic particles from waste solutions, contributing to sustainable nanomaterial applications.

Glucagon like peptide-1 (GLP-1) receptor agonists are well established drugs for the treatment of type 2 diabetes (T2D). In addition to glycemic control, GLP-1 receptor agonists have beneficial other effects. They act by binding to GLP-1 receptors, which are widely distributed in the body, including cardiomyocytes and blood vessels. The aim of this article is to provide a comprehensive review of GLP-1 receptor agonists impact on cardiovascular outcomes and risk reduction. In the last decade, several cardiovascular outcomes trials (CVOT) have been conducted in order to explore cardiovascular benefit of GLP-1 receptor agonists. CVOTs primarily proved cardiovascular safety and tolerability of different GLP-1 receptor agonists, but also showed cardiovascular benefit of specific drugs. CVOTs have shown that GLP-1 receptor agonists reduce MACE in patients with T2D compared to placebo. In addition, they have positive impact on several cardiovascular risk factors such as obesity by promoting weight loss, blood pressure and blood lipid levels. Also, they stimulate the endothelium to produce nitric oxide, reduce oxidative stress, and have antiatherogenic and antiinflammatory effects. Studies have shown their positive impact on kidney outcomes in patients with T2D compared to placebo. The results of previous trials are encouraging in terms of multiple positive effects of GLP-1 receptor agonists. However, further research is needed to understand their full potential and all details of their mechanism of action, which will enable to expand the therapeutic indications and to determine their optimal use in clinical practice.

The reliable and steady operation of the electrical power system relies heavily on the correct operational status and condition of the high voltage air break disconnector switch. If these switches experience any malfunction, it could result in considerable damage, leading to financial consequences and potential hazards for maintenance staff. This paper presents a design for the acquisition and data analysis to evaluate the state of electric motor drives responsible for activating disconnectors. The approach involves capturing relevant time series of the voltage of the motor power supply and current and deriving meaningful indices to assess their condition. The viability of these concepts is showcased through case studies conducted on a real disconnector switch situated within a substation.

The utmost importance of high voltage circuit breakers in the electrical power grid highlights the essential need for their reliability. To ensure this, accurate condition assessment methods for core components like the main contact system are crucial. Dynamic resistance measurement plays a key role as it assesses arcing contacts' condition without contact chamber disassembly. This paper endeavors to meticulously investigate and illuminate the pertinent indices derived from dynamic resistance measurements and motion trajectory waveforms, showcasing their efficacy through two real-world case studies conducted under varied testing scenarios. The analysis underscores the proposed indices' effectiveness, enhancing comprehension of the arcing contact assessment method.

BACKGROUND Cirrus is an automated risk predictor for breast cancer that comprises texture-based mammographic features and is mostly independent of mammographic density. We investigated genetic and environmental variance of variation in Cirrus. METHODS We measured Cirrus for 3195 breast-cancer-free participants, including 527 pairs of monozygotic (MZ) twins, 271 pairs of dizygotic (DZ) twins, and 1599 siblings of twins. Multivariate normal models were used to estimate the variance and familial correlations of age-adjusted Cirrus as a function of age. The classic twin model was expanded to allow the shared environment effects to differ by zygosity. The single-nucleotide polymorphism (SNP)-based heritability was estimated for a subset of 2356 participants. RESULTS There was no evidence that the variance or familial correlations depended on age. The familial correlations were 0.52(standard error[SE]=0.03) for MZ pairs and 0.16(SE=0.03) for DZ and non-twin sister pairs combined. Shared environmental factors specific to MZ pairs accounted for 20% of the variance. Additive genetic factors accounted for 32%(SE=5%) of the variance, consistent with the SNP-based heritability of 36%(SE=16%). CONCLUSIONS Cirrus is substantially familial due to genetic factors and an influence of shared environmental factors that was evident for MZ twin pairs only. The latter could be due to non-genetic factors operating in utero or in early life that are shared by MZ twins. IMPACT Early-life factors shared more by MZ pairs than DZ/non-twin sister pairs, could play a role in the variation in Cirrus, consistent with early life being recognised as a critical window of vulnerability to breast carcinogens.

ABSTRACT Eight long-COVID patients with moderate fatigue that had lasted for ≥3 months were recruited. All patients were allocated in a double-blind parallel-group design to receive either 4 g of creatine per day plus breathing exercises (study group) or breathing exercises only (control group) for 3 months. Creatine induced a significant increase in tissue total creatine levels for all 14 locations evaluated in the present study (P < 0.05), while its levels significantly dropped in the right frontal gray matter and left parietal mesial gray matter at follow-up in the control group (P < 0.05). No change in time to exhaustion was demonstrated in the control group (P > 0.05), while the mean time to exhaustion was significantly improved for 54 s in the study group post-administration (P = 0.05). These preliminary findings suggest that creatine is as an effective adjuvant therapeutic to breathing exercises for tackling the clinical features in long-COVID.

This study conducted an initial investigation into the association between ACE gene insertion/deletion (I/D) polymorphisms (rs1799752) and hypertension in the Republic of Srpska, Bosnia and Herzegovina. The study featured two distinct groups, each with 100 subjects, systematically categorized based on hypertension status and gender. DNA was extracted, PCR-amplified, and analyzed by gel electrophoresis. Results revealed a higher prevalence of the DD genotype and the D allele in the hypertensive group, although statistical significance was not observed. The II genotype occurred in 18% of the hypertension group and 21% in the control group. A significant difference was found in allele I frequencies between the two groups (p=0.004), with no gender-related variations in ACE alleles. The limited sample size may have constrained the ability to detect statistically significant differences. The odds ratio for the (DD + ID) genotype compared to II was 1.2110 (95% CI: 0.6006 to 2.4418; p=0.5927), indicating no statistical significance. Furthermore, no significant associations were identified between ACE genotypes and alleles and gender. In summary, this preliminary study suggests a potential trend towards a higher prevalence of the ACE gene D allele and DD genotype in hypertensive individuals. However, due to the small sample size, these associations did not achieve statistical significance in this population. Larger-scale investigations are needed for more definitive insights into the relationship between ACE gene polymorphisms and hypertension.

Clear cell renal cell carcinoma (ccRCC) is the most common form of kidney cancer, but a comprehensive description of its genomic landscape is lacking. We report the whole genome sequencing of 778 ccRCC patients enrolled in the 100,000 Genomes Project, providing the most detailed somatic mutational landscape to date. We identify new driver genes, which as well as emphasising the major role of epigenetic regulation in ccRCC highlight additional biological pathways extending opportunities for drug repurposing. Genomic characterisation identified patients with divergent clinical outcome; higher number of structural copy number alterations associated with poorer prognosis, whereas VHL mutations were independently associated with a better prognosis. The twin observations that higher T-cell infiltration is associated with better outcome and that genetically predicted immune evasion is not common supports the rationale for immunotherapy. These findings should inform personalised surveillance and treatment strategies for ccRCC patients.