The text is a review of the book by Jasmin Branković et al. (ed.), 160 Bosnian-Herzegovinian Scientists: Small Biographical Lexicon, Mostar: Federal Ministry of Education and Science (Sarajevo: Dobra knjiga), 2022, presented at the Ceremonial Session of the Council for Science of the Federal Ministry of Education and Science in Sarajevo on 12th December 2024.

We describe a concrete device roadmap towards a fault-tolerant quantum computing architecture based on noise-resilient, topologically protected Majorana-based qubits. Our roadmap encompasses four generations of devices: a single-qubit device that enables a measurement-based qubit benchmarking protocol; a two-qubit device that uses measurement-based braiding to perform single-qubit Clifford operations; an eight-qubit device that can be used to show an improvement of a two-qubit operation when performed on logical qubits rather than directly on physical qubits; and a topological qubit array supporting lattice surgery demonstrations on two logical qubits. Devices that enable this path require a superconductor-semiconductor heterostructure that supports a topological phase, quantum dots and coupling between those quantum dots that can create the appropriate loops for interferometric measurements, and a microwave readout system that can perform fast, low-error single-shot measurements. We describe the key design components of these qubit devices, along with the associated protocols for demonstrations of single-qubit benchmarking, Clifford gate execution, quantum error detection, and quantum error correction, which differ greatly from those in more conventional qubits. Finally, we comment on implications and advantages of this architecture for utility-scale quantum computation.

In today’s fast-paced, ever-changing labor market, soft skills are in high demand, especially for new graduates. This study examined the impact of soft skills training on youth employment. As the first sample, the quantitative research method was conducted by applying a questionnaire to the students of Gaziantep University Vocational School of Social Sciences in Turkey. As the second sample, a qualitative research method was conducted by selecting HR Managers homogeneously according to the statistical regional classification throughout Turkey and conducting interviews focusing on the soft skills of new graduates. Based on the results of our analysis, 14 required soft skills were identified. In cooperation with European Union countries, a training curriculum was designed using these 14 soft skills. Participants of the training program were randomly divided into control and experimental groups. The experimental group was only included in the soft skills training program. The employment rates of both groups were compared after nine months of follow-up. The findings showed that soft skills training resulted in higher employment rates.. The findings show that soft-skills training resulted in higher employment rates. Based on our findings, we propose that universities design and apply soft-skills curricula for young undergraduate and vocational school students to increase youth employment. Moreover, soft skills development must be considered when designing and conducting training programs for workers in public institutions and companies.

In this study, a modified 3D printer hotend equipped with a load cell, attached to the feeding system, was used to evaluate the effects of filament material composition and printing parameters on the extrusion force required. Four different materials (commercial PLA, pure PLA, wood-PLA with different ratios of wood particles, and wood-PLA with different ratios of thermally modified wood particles) were used for 3D printing, and the feeding resistance was measured. The filament feeder was connected to the extruder hotend via a load cell, which measured the forces required to push the filament through the extruder and the nozzle. Three printing nozzle temperatures of 200, 210, and 220 °C were used. The results show that the printing temperature and the material influence the required extrusion forces, which varied between 1 and 8 N, but the variation was high. With proper optimization and integration into the printer firmware, this setup could also be used to detect nozzle clogging during printing, modify printing parameters during the process, and prevent the uneven extrusion of composite filaments.

This paper provides a research review regarding the creep of ultra-high-performance concrete with or without the addition of fibers. Unlike other similar studies that mainly considered influential factors and their effects on the creep behavior, this research focuses more attention on the analysis of UHPC creep models. For the creep strain assessments of these concretes, the creep models given in the latest standards cannot be used, but it is necessary to modify them to give reliable results, given the rather complex composition of UHPC. Several proposed creep models for UHPC are presented with comparative analysis. The observation is that by varying key parameters such as compressive strength, relative humidity, cross-sectional dimensions, and temperature, there may be major discrepancies between models, so additional experimental investigations are necessary to perform their calibration. In this paper, the parameters α1, α2, and γ of FIB Model Code 2010 have been modified in order to obtain a match with other proposed models in terms of the final value of the creep coefficient and the creep curve. The creep coefficient of the UHPC decreases when steel fiber content increases, but it is important to consider the excessive fiber addition because very often it causes an increase in creep strain. The application of thermal treatment at a temperature of 90 °C for 48 h significantly improves the time-dependent properties of UHPC. An analysis of the impact of the steel fiber content, fiber type, thermal treatment, and the age of the concrete under load on strains of UHPC specimens and beams under long-term loads is performed.

Research on attitudes toward English varieties has been identified as a crucial contextual issue that is relevant to the implementation of the Teaching English as an International Language approach. Thus, the current study explores the attitudes of 400 Bosnian respondents toward different English varieties, employing a verbal guise technique for attitude elicitation. It also examines the respondents’ perceived intelligibility of these varieties and their conative responses and recognition rates. The results consistently showed that inner‐circle varieties, Standardised British in particular, were rated more favourably than expanding‐circle varieties and were perceived as more desirable and better understood. Their correct recognition rates were also much higher than those for expanding‐circle varieties. Expanding‐circle varieties were rated much less favourably, with the exception of moderately accented Bosnian English. All the other expanding‐circle varieties, heavily accented Bosnian English, Arabic and Turkish English, were not perceived as desirable. They were also considered less easily understood, and their recognition rates were low.

The great Pannonian Rebellion. the Bellum Batonianuni of AD 6 — 9 was one of the most significant events, if not the most significant one in the history of Roman dealings with Illyricum.' Its significance went far beyond local, provincial history, shaping the future foreign policy conduct of the Empire in the early principate, and perhaps, combined with the clades Variana in the Teutoburg forest, stopped Roman political and military expansion in North and Central Europe. For the first time in many years, even Italy was in fear from the external enemy. This was the first rebellion of this kind after the end of the Republic that seriously undermined the Roman confidence and even shook their position and prestige in recentlv occupied territories. 

Orbit-based methods are widespread in strong-field laser-matter interaction. They provide a framework in which photoelectron momentum distributions can be interpreted as the quantum interference between different semiclassical pathways the electron can take on its way to the detector, which brings with it great predictive power. The transition amplitude of an electron going from a bound state to a final continuum state is often written as multiple integrals, which can be computed either numerically or by employing the saddle-point method. If one computes the momentum distribution via a saddle-point method, then the obtained distribution is highly dependent on the time window from which the saddle points are selected for inclusion in the “sum over paths.” In many cases, this leads to the distributions not even satisfying the basic symmetry requirements and often containing many more oscillations and interference fringes than their numerically integrated counterparts. Using the strong-field approximation, we find that the manual enforcement of the energy-conservation condition on the momentum distribution calculated via the saddle-point method provides a unique momentum distribution which satisfies the symmetry requirements of the system and which is in a good agreement with the numerical results. We illustrate our findings using the example of the Ar atom ionized by a selection of monochromatic and bichromatic linearly polarized fields. Published by the American Physical Society 2025

Large Language Models (LLMs) have achieved significant success across various NLP tasks. However, their massive computational costs limit their widespread use, particularly in real-time applications. Structured pruning offers an effective solution by compressing models and directly providing end-to-end speed improvements, regardless of the hardware environment. Meanwhile, different components of the model exhibit varying sensitivities towards pruning, calling for nonuniform model compression. However, a pruning method should not only identify a capable substructure, but also account for post-compression training. To this end, we propose DarwinLM, a method for training-aware structured pruning. DarwinLM builds upon an evolutionary search process, generating multiple offspring models in each generation through mutation, and selecting the fittest for survival. To assess the effect of post-training, we incorporate a lightweight, multistep training process within the offspring population, progressively increasing the number of tokens and eliminating poorly performing models in each selection stage. We validate our method through extensive experiments on Llama- 2-7B, Llama-3.1-8B and Qwen-2.5-14B-Instruct, achieving state-of-the-art performance for structured pruning. For instance, DarwinLM surpasses ShearedLlama while requiring 5× less training data during post-compression training. Code and all weights are released at: https://github.com/ISTDASLab/ DarwinLM.

This study explores the application of subject-verb concord rules among Bosnian EFL students, focusing on the influence of proficiency level, academic performance in grammar-related subjects, and preferences for American or British English. Guided by three research questions, the study examines whether students’ general language proficiency impacts their ability to correctly apply subject-verb concord rules, whether there is a correlation between their grammar course grades and performance on a concord-focused questionnaire, and whether students demonstrate a preference for American or British English concord rules. The research involved 41 university students with proficiency levels of B2 and C1. The findings reveal that students’ proficiency levels and grammar score grades do not significantly influence their application of subject-verb concord rules. Despite demonstrating a good overall understanding, students frequently struggled with specific categories, such as plural nouns and coordination with or/nor. Additionally, the results indicate a notable preference for American English concord rules over British English. These findings underscore the pedagogical importance of subject-verb concord and highlight the need for targeted instructional strategies to address persistent errors. The study also emphasizes the value of error analysis in identifying interlingual influences and improving language learning materials.  Article visualizations:

572 Background: Anti-vascular endothelial growth factor (VEGF) tyrosine kinase inhibitors and checkpoint inhibitors (CPI) a standard-of-care treatment for clear cell renal cell carcinoma (ccRCC). We investigated the biology underpinning benefit of anti-VEGFR TKI in the phase II A-PREDICT trial (NCT01693822), evaluating pre- and post-treatment, fresh multiregion tumour biopsies in patients with metastatic ccRCC treated with first-line axitinib. Methods: We analysed 123 tumour samples from 52 patients, 28 with paired pre/post-treatment samples. Post-treatment samples included week-9, nephrectomy, and on-progression timepoints. ‘Responders’ had progression-free survival (PFS) ≥6 months (n=35), ‘non-responders’ with PFS <6 months (n=17). We applied a custom Nanostring panel for gene expression analysis and multiplex immunofluorescence (mIF) for orthogonal validation. Wilcoxin test was used to analyze paired observations. Results: At baseline, angiogenesis scores were similar between responders and non-responders (p=0.22). Post-treatment, the angiogenesis, vascular sprouting, and endothelial cell proliferation signature scores were significantly decreased (p=0.023, 0.0034, & 0.0082, respectively) in all patients, suggesting suppression of angiogenesis and neovascularisation irrespective of clinical outcomes. mIF in 3 patients (with PFS of 3, 5.6, & 100 months) confirms widespread intratumoral vessel depletion. Immune deconvolution analysis shows total levels of T cells and CD8 + T cells were similar pre- and post-treatment, suggesting axitinib did not enhance immune cell trafficking. Rather, axitinib promoted increased levels of exhausted CD8 + T cells post-treatment (p=0.01). M2 tumour-associated macrophages increased post-treatment in responders (p=0.033) but not in non-responders (p=0.44). A minority of patients had durable (>2 years) responses to axitinib (n=7/65, 6 with tissue for analysis). In these patients, we found higher levels of pre-treatment intratumoral cytotoxic immune cells (p=0.041) and NK cells (p=0.015) compared to patients with primary resistant disease. Conclusions: Axitinib suppressed angiogenesis and neovascularisation leading to intratumoral vessel depletion, and therapy response associates with features of an immunosuppressive TME. Baseline endogenous immune priming appears critical for durable response to anti-VEGF therapy. These data are relevant to understanding the clinical efficacy of combined anti-VEGF and CPI regimens. Clinical trial information: NCT01693822 .

Thalassemia, a genetic condition characterized by defective hemoglobin synthesis, is often managed with transfusion therapy, which can lead to iron overload—a significant contributor to morbidity and mortality due to organ damage and pathogenic infections. Iron chelation therapy, the cornerstone of managing iron toxicity, may inadvertently influence the gut microbiome, a critical modulator of immunity and metabolism. This review provides new insights into the interplay between iron chelation therapy and gut microbiome dynamics in thalassemia patients. It synthesizes findings on how chelators such as deferoxamine, deferasirox, and deferiprone influence microbial composition, iron availability, and systemic inflammation. Emerging evidence highlights alterations in gut microbial diversity, with reduced beneficial taxa and increased pathogenic populations, driven by changes in luminal iron levels. This imbalance contributes to immune dysregulation, systemic inflammation, and susceptibility to infections. The review advocates for tailored treatment strategies that integrate microbiome-targeted interventions alongside traditional chelation therapy to improve patient outcomes. By combining genetic profiling, dietary adjustments, and microbiome modulation, this approach offers a promising avenue for personalized medicine in thalassemia care.