Simple Summary Feline patients may frequently develop anemia in association with a variety of underlying concurrent conditions, primarily as a direct consequence of metabolic disorders or infectious agents such as hemoplasmas. Additionally, anemia may arise as a part of a primary myeloproliferative disease, particularly associated with retroviral infections. Recent data from owners and veterinarians indicate that feline hemoplasmosis, despite its worldwide occurrence, is not routinely considered as the differential diagnosis for anemia in cats of Bosnia and Herzegovina. The infection is often underdiagnosed and overlooked, primarily due to the absence of reliable rapid testing methods and lack of hemoplasmosis PCR testing availability in Bosnia and Herzegovina, prior to this study. This is the first reported case of PCR-confirmed hemoplasmosis in Bosnia and Herzegovina. It further provides detailed information on patients’ signalment, clinical and molecular diagnostic approaches, treatment, and long-term follow-up. Despite being immunocompromised due to feline immunodeficiency virus infection, no recurrence of hemoplasmosis or retroviral reactivation was observed over an almost five-year period. This case also emphasizes the importance of considering hemoplasmosis in anemic cats, particularly those that do not respond to the treatment, and demonstrates the value of molecular methods in establishing definitive diagnosis.

Stress echocardiography (SE) has evolved beyond its traditional role of detecting coronary artery disease (CAD) through a single marker-regional wall motion abnormality (RWMA). This conventional approach, while guideline-embedded, faces a declining positivity rate and reduced prognostic power in today's diverse patient population. In response, SE has undergone a conceptual transformation into a multi-marker, comprehensive functional assessment of patient vulnerability. The modern multi-marker protocol, known as the ABCDE-SE, integrates five steps during a single stress test: Step A assesses RWMA for ischemia; Step B quantifies pulmonary congestion via B-lines and E/e'; Step C evaluates left ventricular volume response; Step D measures coronary flow velocity reserve for microvascular function; and Step E determines heart rate reserve for autonomic function. Each step identifies distinct pathophysiological mechanisms and actionable therapeutic targets, significantly refining risk stratification.Developed and validated over the past decade with the SE 2030 study (2016-2030), the flagship project of SIECVI, Italian Society of Echocardiography and Cardiovascular Imaging, and adopted by 50 laboratories from 20 countries, the ABCDE protocol represents a universal and widely accessible platform, applicable to all patients with suspected cardiac disease. It paves the way for personalized medicine by enabling tailored therapies targeted to the specific vulnerabilities.

The neutrophil to lymphocyte ratio (NLR) serves as a marker of systemic inflammation and is an established prognostic factor in non-small cell lung cancer (NSCLC). However, its predictive value for treatment response, particularly when evaluated through three-dimensional CT volumetry, remains ambiguous. This study investigates whether pretreatment NLR and treatment-related changes in NLR correlate with volumetric tumor response to platinum-based neoadjuvant chemotherapy (NACT). Adult patients with histologically confirmed NSCLC who received platinum-based NACT and had evaluable pre- and posttreatment CT imaging were included in the analysis. Tumor response was defined as a ≥30% reduction using three-dimensional CT volumetry. We analyzed pretreatment NLR, posttreatment NLR, changes in NLR (ΔNLR), and the NLR ratio. To enhance statistical stability, additional analyses utilized log-transformed NLR values. Associations were examined through non-parametric tests, correlation analysis, and both univariable and multivariable logistic regression models adjusted for age, sex, histology, disease stage, performance status, and baseline tumor volume. A total of 70 patients were included, with 33 (47.1%) achieving a volumetric response. NLR decreased during treatment (median ΔNLR = -0.42), yet no significant differences were noted between responders and non-responders regarding pretreatment NLR (p = 0.773), posttreatment NLR (p = 0.920), ΔNLR (p = 0.514), or NLR ratio (p = 0.630). None of the NLR-derived parameters showed significant associations with treatment response in univariable or multivariable models, including those utilizing log-transformed variables. Furthermore, the NLR ratio exhibited substantial instability, reflected in wide confidence intervals. In conclusion, within this cohort, neither pretreatment nor dynamic NLR parameters were significantly associated with CT-based volumetric tumor response following platinum-based NACT.

Cascade reservoirs on the Drina River (Bosnia and Herzegovina) are heavily modified water bodies that require reliable biological tools for assessing trophic status and ecological potential. Under the Water Framework Directive (WFD), assessments of surface water ecological status and potential rely on biological quality elements, since aquatic communities integrate and respond to prevailing environmental conditions and thus serve as reliable indicators of water quality. This study aims to (i) describe phytoplankton diversity, biomass, and functional-group composition along the Drina reservoir cascade, (ii) examine monthly changes across the studied reservoirs, (iii) determine trophic status and ecological potential, and (iv) provide a preliminary estimate of total phosphorus thresholds that may support future setting of ecological potential boundaries. Phytoplankton composition and functional groups were analysed in three longitudinally connected reservoirs of the Drina River during four monthly surveys in 2024. A total of 80 phytoplankton taxa were recorded, with diatoms dominating most of the study period. The highest biomasses were recorded for Fragilaria crotonensis, Dinobryon divergens, Acanthoceras zachariasii and Sphaerocystis sp., while the dominant functional groups were P, E, A, and F. Phytoplankton assemblage structure showed moderate spatial differentiation among the reservoirs. Mean chlorophyll a and Carlson’s Trophic State Index indicated eutrophic conditions in the Višegrad Reservoir and mesotrophic conditions in the Perućac and Zvornik reservoirs, while biomass showed a pronounced summer maximum, particularly in Perućac. Ecological potential was generally classified as good or better, except for a moderate classification in the Zvornik Reservoir in late summer. The good/moderate TP boundary was estimated at 39 µg L−1, linking EQR-based ecological assessment with the onset of eutrophic conditions. Overall, this study represents the first application of the phytoplankton functional group approach in cascade reservoirs in Bosnia and Herzegovina and may provide a valuable basis for the development of a phytoplankton-based monitoring framework in lakes and reservoirs, which is currently lacking.

This article is about the Bosnian animated series Bruca Braca Bruda Brada which deals with contemporary social issues in Bosnia and Herzegovina, focusing on Švrakino selo, a predominantly working-class neighbourhood on the outskirts of Sarajevo. The series’ creators are Helem Nejse, a Sarajevo-based hip-hop band. The humour stands out because of the linguistic subtlety through which contemporary society is portrayed, focusing especially on the Sarajevo area. Stylistically, the slang, the wordplay, the counter-images of real-life politicians, criminals and events are all part of a layered storyline, painting an image of a society trapped for over three decades in the limbo of expectations of a better life. The analytical framework consists of the following units, superficially functioning as general knowledge scripts: names, nationalism, (local) patriotism, know-it-all and corruption. However, these scripts, in the context of the analysed material, become restricted, making the humorous interpretation challenging not only to an international audience, but also to native speakers in some instances. Stylistic traits of the selected material are observed, together with additional linguistic devices that enhance humour. Culture-specific expressions and other important contextual segments are also explained where necessary.

Doping remains one of the most important problems in sports, but legal issues related to anti-doping are relatively understudied in this context. This study aimed to evaluate the reliability and validity of a newly designed questionnaire aimed at evaluating antidoping legal knowledge among sport officials.The participants included 211 sport officers (coaches, medical professionals, nutritionists; 41.7±7. years of age, 71 females) from Croatia and Bosnia and Herzegovina, who were tested on a newly designed questionnaire on knowledge of legal anti-doping regulations for sport officials (Q-LADR-O). Additionally, data on sociodemographic characteristics, sport-related factors, and doping-related factors were collected. In the first phase, a subsample of 56 participants was tested and retested on the Q-LADR-O in the time frame of 7--10 days to evaluate the reliability of the tool.Among the 20 original questionnaire items, 18 had appropriate test-retest reliability (Cohen’s kappa > 0.61, absolute agreement > 80%). Factor analysis identified two distinct latent structures reflecting (i) rights and obligation under the anti-doping code and (ii) anti-doping testing and legislation. The validity of the Q-LADR-O was confirmed by significant differences between medical staff and coaches/nutritionists (6.71 ±1.79 and 4.21 ± 1.2 for medical staff and coaches/nutritionists, respectively, t test = 8.71, p < 0.01) and a significant correlation between the Q-LADR-O and sport-officiating level (Spearman’s R = 0.21, p < 0.05) and between the Q-LADR-O and the number of doping tests of athletes officiated (Spearman’s R = 0.55, p < 0.05).Considering its proper reliability and validity, Q-LADR-O can contribute to more effective anti-doping education, primarily by reducing unintentional rule violations. Further intervention studies are warranted.

The aim of this study was to evaluate real-world rivaroxaban safety and adherence in patients with nonvalvular atrial fibrillation (NVAF). A prospective, observational, cohort, postmarketing study was conducted during a six-month period. The primary outcome was bleeding, including major bleeding, non-major bleeding, and fecal occult blood test positivity. Secondary outcomes included non-bleeding adverse reactions, changes in laboratory parameters, and therapy adherence measured by the Morisky Medication Adherence Scale-8 (MMAS-8). We included 1184 patients evaluated at baseline and at one, three, and six months. During follow-up, cumulative incidences (95% confidence interval) were 0.9% (0.5-1.7%) for major bleeding, 13.3% (11.4-15.3%) for non-major bleeding, and 3.4% (2.4-4.6%) for fecal occult blood positivity. Other adverse drug reactions were infrequent and mild, most commonly headache and fatigue, and no clinically relevant deterioration of laboratory parameters was observed. MMAS-8 score was the same throughout the follow-up period and was 1.0 (interquartile range 0.0-2.0), which is in the domain of good therapy adherence. Approximately one-third of patients demonstrated full therapy adherence, and one-fifth of patients exhibited poor adherence. This real-world study supports the favorable safety profile and generally good patient adherence to rivaroxaban in NVAF, though continued monitoring of bleeding risk and enhanced patient education on adherence remain crucial for optimal outcomes.

Mineral substrates for indoor horticulture systems critically determine plant water availability and irrigation demand. However, integrative assessments linking pore structure, water retention, and evaporation dynamics of commonly used mineral growing media remain scarce. A total of nine distinct mineral substrates were investigated: expanded clay, expanded slate, pumice, perlite, zeolite, vermiculite, lava granules, brick chips, and clay granules. To assess the impact of granulometry, pumice was tested in three different grain sizes (1–3 mm, 4–7 mm, 7–14 mm), resulting in a total of 11 experimental samples. Samples were characterized using scanning electron microscopy (SEM), suction experiments, and evaporation tests at 30%, 50%, and 70% relative humidity (RH) at 23 °C. Bulk density ranged from <0.12 g·cm−3 (perlite, vermiculite) to >0.99 g·cm−3 (zeolite, brick chips), while volumetric water content varied from 11.0 vol.% (expanded clay) to 46.6 vol.% (vermiculite). Plant-available water content (AWC) ranged from 2.7 vol.% (expanded clay) to 30.9 vol.% (clay granules). These results demonstrate that pore interconnectivity, rather than total porosity, is the decisive driver of hydraulic performance. Finer pumice fractions increased water retention by ~16% compared to coarser fractions. All substrates exhibited a two-phase evaporation profile, with initial rates ranging from 1.9 to 5.6 g·h−1 at 30% RH. Clay granules showed the most temporally stable evaporation, with only a 37% rate reduction over 48 h, compared to 66% for perlite. While conducted under controlled laboratory conditions, these findings provide a quantitative basis for targeted substrate selection and blending to optimize root-zone hydration, irrigation efficiency, and hygrothermal performance in permanent indoor horticulture systems.

Wireless technology is becoming increasingly prominent in industrial environments today, particularly for controlling automated guided vehicles such as mobile robots. Beyond conventional communication requirements, wireless solutions must also comply with functional safety standards such as IEC 61508 and IEC 62745. However, the susceptibility of wireless systems to RF interference and cyberattacks raises questions about their suitability for safety-critical environments. In this paper, we investigate the integration of one of the latest features of Bluetooth Low Energy, namely Broadcast Isochronous Streams (BIS), which enable efficient one-to-many broadcast communication, into industrial systems. Furthermore, we present an applicationlayer framework built on top of BIS that provides essential security and safety features such as encryption, decryption, lightweight key exchange, transmission of periodic keepalive signals, and emergency stop functionality. Experimental results demonstrate that the proposed framework adds only 33% latency overhead, while ensuring compliance with key safety and security requirements. The framework also supports network scaling to hundreds of devices and enables timely execution of safety procedures even in harsh RF conditions, demonstrating that BIS can be securely and reliably employed in industrial environments.

Quantization has become a standard tool for efficient LLM deployment, especially for local inference, where models are now routinely served at 2-3 bits per parameter. The state of the art is currently split into simple scalar quantization techniques, such as GPTQ or AWQ, which are widely deployed but plateau in accuracy at 3-4 bits per parameter (bpp), and"second-generation"vector- or trellis-quantized methods, such as QTIP, GPTVQ and AQLM, which push the accuracy frontier but are notoriously hard to implement and to scale. In this paper, we ask whether this gap is fundamental, or whether a carefully optimized $\textit{scalar}$ quantizer can recover most of it. We answer in the affirmative, by introducing GSQ (Gumbel-Softmax Quantization), a post-training scalar quantization method which jointly learns the per-coordinate grid assignments and the per-group scales using a Gumbel-Softmax relaxation of the discrete grid. GSQ matches the cardinality of the relaxation to the small number of levels available in the target bit-width regime (e.g., 3-8 levels for ternary and 3 bpp, respectively), making optimization tractable. Practically, on the standard Llama-3.1-8B/70B-Instruct models, GSQ closes most of the gap between scalar quantization and the QTIP frontier at 2 and 3 bits, while using a symmetric scalar grid with group-wise quantization, and thus remains compatible with existing scalar inference kernels. We further show that the same discrete-assignment optimization can be applied to practical GGUF K-Quant checkpoints: starting from publicly released GGUF models, GSQ improves accuracy while projecting the result back into the same deployment format. Finally, GSQ scales to trillion-scale Mixture-of-Experts models such as Kimi-K2.5, where vector-quantized methods are difficult to apply. The source code is publicly available at https://github.com/IST-DASLab/GSQ.

The shift in agricultural production enabled by modern technology has led to the adoption of intelligent and autonomous systems, marking the Agriculture 5.0 era. Drones play a crucial role in this system, and as their use continues to expand, selecting the appropriate drones presents a complex multi-criteria decision-making problem that requires careful consideration of various factors. In this study, drones were evaluated and selected based on technical, economic, and environmental criteria. The decision-making process used interval type-2 fuzzy sets (IT2F) to incorporate uncertainty, and the model focused on ten criteria and five available drones in the Serbian market. It integrated the SiWeC (Simple Weight Calculation) method to determine criteria weights and the CRADIS (Compromise Ranking of Alternatives from Distance to Ideal Solution) method to rank the drones, forming a hybrid approach. The results indicated that Ease of Use (C6), Price (C8), and Maintenance Costs (C7) had the greatest influence on the final decision. Drone 4 achieved the highest score of 0.969 based on expert assessment, outperforming the second-ranked Drone 1 by 12%. Sensitivity analysis across 30 scenarios confirmed the stability of the ranking and showed that individual criteria did not significantly impact the results. The proposed IT2F SiWeC-CRADIS model demonstrated strong robustness and reliability and could be applied to select other smart technologies within the framework of Agriculture 5.0.

Traditional Task and Motion Planning (TAMP) systems depend on physics models for motion planning and discrete symbolic models for task planning. Although physics model are often available, symbolic models (consisting of symbolic state interpretation and action models) must be meticulously handcrafted or learned from labeled data. This process is both resource-intensive and constrains the solution to the specific domain, limiting scalability and adaptability. On the other hand, Visual Language Models (VLMs) show desirable zero-shot visual understanding (due to their extensive training on heterogeneous data), but still achieve limited planning capabilities. Therefore, integrating VLMs with classical planning for long-horizon reasoning in TAMP problems offers high potential. Recent works in this direction still lack generality and depend on handcrafted, task-specific solutions, e.g. describing all possible objects in advance, or using symbolic action models. We propose a framework that generalizes well to unseen problem instances. The method requires only lifted predicates describing relations among objects and uses VLMs to ground them from images to obtain the symbolic state. Planning is performed with domain-independent heuristic search using goal-count and width-based heuristics, without need for action models. Symbolic search over VLM-grounded state-space outperforms direct VLM-based planning and performs on par with approaches that use a VLM-derived heuristic. This shows that domain-independent search can effectively solve problems across domains with large combinatorial state spaces. We extensively evaluate on extensively evaluate our method and achieve state-of-the-art results on the ProDG and ViPlan benchmarks.

Abusive head trauma (AHT), is considered a leading cause of fatalities resulting from physical abuse in infants under 2 years of age, with a peak incidence between 1 and 2 months after birth. The incidence of AHT ranges from 14 to approximately 40 cases per 100,000 children in industrialized countries with a mortality rate ranging from 10 to 20%. The absence of internationally recognized best practices or guidelines especially in the field of forensic medicine has resulted in methodological variability in the management of these cases across different settings. In response to this gap, a comparative working group involving experts from Italy and the Balkan countries was established, leading to the creation of a shared discussion platform. The aim of this collaborative effort was to identify strengths and critical issues in the forensic handling of abusive head trauma, ultimately with the goal of developing a shared workflow chart for the management of these complex cases within the network.

It is believed that teachers in secondary education prioritise correctness in grammar instruction and, in doing so, often overlook the functional potential of language, which is used to negotiate social meaning. The paper aims to investigate the language instruction gap in high school general English language classes by examining the extent to which lesson plans incorporate Systemic Functional Grammar (SFG) as a resource for meaning-making (Schleppegrell, 2017). The analysis in this paper applies Halliday’s (1994) metafunctional framework and Nunan’s (1995) analytical outline in order to investigate a corpus of ten lesson plans and their corresponding materials through a qualitative coding scheme. The findings reveal that the main instructions remain dominated by prescriptive rules that treat language as a static object. The analysis indicates that, despite learner-centred classroom management, the interpersonal resources of Mood and Modality remain teacher-controlled, limiting learners’ ability to actively participate in the meaning-making process. The paper concludes that SFG can contribute to bridging the instruction gap by transforming grammar from a set of restrictive rules into a dynamic, functional resource for successful communication.