In this paper, we investigate an open-access fishery model which is used to examine the dynamics of the resource and industry and to explain the current economic status of the anchovy fishery. We consider the local character of the interior and boundary equilibrium points. Also, we show that the considered system of difference equations exhibits Neimark-Sacker bifurcation under certain conditions. The existence of the repelling curve and invariant curve is demonstrated. We show that in a certain parameter region the corresponding map of the considered system is an area-preserving map, so the positive equilibrium point in that case is stable. Also, we produce numerical simulations to support our findings.

Steatosis extends beyond the liver to the pancreas, heart, and skeletal muscle, yet prevailing definitions remain narrowly organ-focused. This narrative review introduces the Metabolic Steatotic Axis (MSA) as a framework that captures the dynamic, bidirectional interactions among these organs, driving systemic metabolic dysfunction. We synthesize evidence linking lipotoxicity, inflammatory signaling, and endocrine cross-talk into a self-amplifying network accelerating insulin resistance, β-cell failure, and cardiometabolic risk. The MSA concept provides a rationale for axis-based staging systems and composite biomarker panels to quantify cumulative disease burden better and refine risk stratification. We highlight phenotypic heterogeneity within MSA stages, the possible hierarchy of organ vulnerability, and the implications for prognosis and therapy. Viewing pharmacological and lifestyle interventions through the MSA lens reframes them as systemic modulators rather than organ-specific treatments, underscoring the need for multi-organ endpoints in clinical trials. Finally, we outline priorities for longitudinal imaging, multi-omics integration, and global harmonization to translate the MSA from a conceptual construct to a clinically actionable paradigm. By unifying fragmented observations into a systemic model, the MSA has the potential to reshape disease classification, therapeutic strategies, and precision medicine in metabolic disorders.

Na temelju sačuvanih bilježaka Balda Bogišića i drugih dostupnih izvora rad analizira Bogišićevu ulogu u procesu pregovora o sadržaju bračnog ugovora između crnogorske princeze Jelene Petrović Njegoš i talijanskog prijestolonasljednika Viktora Emanuela III. Pregovori su održani u Rimu u listopadu 1896. godine, a rezultirali su potpisivanjem ugovora čije su odredbe uključivale niz pravnih, dinastičkih i međunarodnih pitanja. U radu se ukazuje na to kako je cijeli proces predstavljao diplomatsku misiju najviše razine u okviru koje su Bogišićev pravni autoritet i diplomatska vještina bili izrazito važni za zaštitu interesa Crne Gore.

This study explores the implications of technology availability constraints on the decarbonisation pathways of the EU power sector, drawing on scenario results from five European energy supply models: MEESA, LIMES, ENERTILE, ACSG, and OSeMBE. The analysis evaluates how limiting the deployment of key low-carbon generation technologies, namely carbon capture and storage (CCS), nuclear power, bioenergy, solar photovoltaics, and wind energy, affects the electricity generation mix, emissions reduction, investment needs, and power system costs by 2030 and 2050. Results within the model ensemble indicate that Variable Renewable Energy sources (VRE), wind and solar, are indispensable for deep decarbonisation. Constraints on solar or wind power substantially increase electricity generation costs and require major shifts in technology portfolios, often resulting in greater reliance on remaining renewable options or fossil fuel generation with CCS. The unavailability of CCS leads to higher system emissions and increased investment in renewables and storage. In contrast, removing nuclear or bioenergy has a more moderate impact, though some regional effects are significant. All models show that achieving ambitious emission reductions in the power sector remains technically feasible under individual technology constraints, but the mitigation effort shifts across generation technologies, and system costs rise considerably in low VRE futures. Policy implications include the need for robust support for wind and solar deployment, cross-border system integration, flexible technologies, and backup capacity. The findings underscore the value of a diversified technology portfolio, strategic infrastructure investments, and EU-level coordination to preserve cost efficiency and ensure stable power system performance under uncertainty in future technology availability.

Ransomware core capability, unauthorized encryption, demands controls that identify and block malicious cryptographic activity without disrupting legitimate use. We present a probabilistic, risk-based access control architecture that couples machine learning inference with mandatory access control to regulate encryption on Linux in real time. The system builds a specialized dataset from the native ftrace framework using the function_graph tracer, yielding high-resolution kernel-function execution traces augmented with resource and I/O counters. These traces support both a supervised classifier and interpretable rules that drive an SELinux policy via lightweight booleans, enabling context-sensitive permit/deny decisions at the moment encryption begins. Compared to approaches centered on sandboxing, hypervisor introspection, or coarse system-call telemetry, the function-level tracing we adopt provides finer behavioral granularity than syscall-only telemetry while avoiding the virtualization/VMI overhead of sandbox-based approaches. Our current user-space prototype has a non-trivial footprint under burst I/O; we quantify it and recognize that a production kernel-space solution should aim to address this. We detail dataset construction, model training and rule extraction, and the run-time integration that gates file writes for suspect encryption while preserving benign cryptographic workflows. During evaluation, the two-layer composition retains model-level detection quality while delivering rule-like responsiveness; we also quantify operational footprint and outline engineering steps to reduce CPU and memory overhead for enterprise deployment. The result is a practical path from behavioral tracing and learning to enforceable, explainable, and risk-proportionate encryption control on production Linux systems.

Background: Neuromodulation encompasses a range of methods aimed at selectively modifying nervous system function to enhance motor and neurophysiological processes. Although neuromodulation suits have shown benefits in clinical populations, their application in sports remains unexplored. Therefore, the aim of this case study was to examine the acute effects of a neuromodulation suit on the contractile properties of the rectus femoris muscle in an elite football player. Methods: The subject was an 18.8-year-old male professional football player. After conducting an anthropometric evaluation, initial tensiomyography (TMG) was carried out to evaluate the contractile properties of the rectus femoris, such as delay time (Td), contraction time (Tc), sustain time (Ts), relaxation time (Tr), and maximum radial displacement (Dm), in both legs. The athlete then donned a neuromodulation suit set to 20 Hz for a duration of 60 min. Following this, the same TMG measurements were repeated to assess post-intervention changes. Results: The right leg showed a reduction in Tc from 33.33 to 31.93 milliseconds (ms); Dm increased from 6.61 to 11.17 millimeters (mm). Conversely, the left rectus femoris exhibited prolonged Tc from 26.84 to 29.45 ms. Conclusions: A single 60 min session of neuromodulation suit application produced acute changes in muscle contractile properties. Findings suggest a potential positive effect on rapid force production and reduced muscle stiffness, alongside notable inter-limb variability.

This paper analyzes different approaches for the mathematical modeling and optimization of process parameters in the hard turning process of 42CrMo4 steel using a hybrid approach combining response surface methodology (RSM), multi-criteria decision making (MCDM), and machine learning through, support vector regression (SVR) with one-factor-at-a-time (OFAT) sensitivity analysis. Controlled process parameters such as cutting speed, depth of cut, feed, and insert radius are applied to conduct the experiments based on a full factorial experimental design. RSM was used to develop models that describe the effect of controlled parameters on surface roughness and cutting forces. Special emphasis was placed on the analysis of standardized residuals to evaluate the predictive capabilities of the RSM-developed model on an unseen data set. For all four outputs considered, analysis of the standardized residuals shows that over 97% of the points lie within ±3 standard deviations. A multi-criteria optimization technique was applied to establish an optimal combination of input parameters. The SVR model had high performance for all outputs, with coefficient of determination values between 89.91% and 99.39%, except for surface roughness on the test set, with a value of 9.92%. While the SVR model achieved high predictive accuracy for cutting forces, its limited generalization capability for surface roughness highlights the higher complexity and stochastic nature of surface formation mechanisms in the turning process. OFAT analysis showed that feed rate and depth of cut have been shown to be the most important input variables for all analyzed outputs.

The identification of cancer drivers is a cornerstone to delivery of precision oncology. So far sequencing of renal cell cancer (RCC) has largely been confined to the clear cell subtype of RCC. In contrast, sequencing analyses of the less common forms of RCC, papillary RCC (pRCC) and chromophobe RCC (ChRCC), have so far been limited. We analysed whole genome sequencing data on 164 tumour-normal pairs from the Genomics England 100,000 Genomes Project, providing a comprehensive, high-resolution map of copy number alterations, structural variation, and key global genomic features, including mutational signatures, intra-tumour heterogeneity and analysis of extrachromosomal DNA formation. Our research establishes correlations between genomic alterations and histological diversification and the extent to which genetically-mediated immune escape contributes to the development of these RCC subtypes. Implications: We demonstrate the distinctive genetics which characterises pRCC and ChRCC and how this information has the potential to inform patient treatment and clinical trials.

We introduce BallotRank, a ranked preference aggregation method derived from a modified PageRank algorithm. It is a Condorcet-consistent method without damping, and empirical examination of nearly 2,000 ranked choice elections and over 20,000 internet polls confirms that BallotRank always identifies the Condorcet winner at conventional values of the damping parameter. We also prove that the method satisfies many of the same social choice criteria as other well-known Condorcet completion methods, but it has the advantage of being a natural social welfare function that provides a full ranking of the candidates.

Jejunal diverticulosis is a rare condition that often presents asymptomatically, but can occasionally lead to severe complications, such as obstruction, perforation or bleeding. We report a case of an incarcerated ventral hernia resulting from massive jejunal diverticulosis, an unusual cause of bowel obstruction. An 80-year-old female patient presented with acute abdominal pain, nausea and vomiting. Physical examination revealed a tender, irreducible mass in the epigastric region. Exploratory surgery was performed and confirmed the presence of multiple jejunal diverticula, with one segment incarcerated in the epigastric hernia. The patient underwent successful surgical repair, including liberation of the affected jejunal segment and hernia repair. This case highlights the importance of considering jejunal diverticulosis in the differential diagnosis of bowel obstruction, and emphasizes the need for prompt surgical intervention in cases of complicated diverticulosis. Early diagnosis and appropriate management are critical inpreventing the severe morbidity and mortality associated with this condition.

Aim: To identify the clinicopathological factors associated with five year mortality in patients with colorectal cancer (CRC) treated at Cantonal Hospital Zenica, Bosnia and Herzegovina. Methods: A retrospective cohort of 64 consecutively operated CRC patients (2019 2024) was analysed. The base-line variables included age, sex, tumor stage, histology, metastatic burden, local infiltration, and comorbidities. Five year cumulative mortality was the primary outcome. Risk ratios (RR) with 95 % confidence intervals (CI) were calculated by two by two contingency analysis.Results: The cohort comprised 26 women (40.6 %) and 38 men (59.4 %); their median age was 64 years (IQR 58.8–73.0). Eleven patients (17.2 %) died within five years. Mortality was strongly linked to tumor spread and cardiometabolic disease. Any distant metastasis conferred a fifteen fold increase in risk (9/15 vs 2/49; RR 14.7, 95 % CI 3.6–60.8, p < 0.001), and the involvement of two or more metastatic sites remained prognostic (RR 5.6, 95 % CI 1.9–16.9,p = 0.014). Infiltration of more than two adjacent organs quadrupled mortality (RR 4.4, 95 % CI 1.7–11.6, p = 0.032). Hypertension was present in 10 of the 11 deaths, yielding an RR of 12.1 (95 % CI 1.6–88.8, p = 0.002).Type 2 diabetes also increased risk (RR 3.5, 95 % CI 1.3–9.6, p = 0.040). Patients with three or more comorbid conditions had a nearly four times higher mortality (RR 3.9, 95 % CI 1.3–11.7, p = 0.027).Conclusion: The five year death rate in this Bosnian Herzegovinian CRC cohort was driven chiefly by distant metastasis, extensive local invasion, and cardiometabolic comorbidities—especially hypertension and type 2 diabetes. Early detection of metastatic spread and proactive management of vascular risk factors may improve survival in similar settings.

Background and purpose This study investigates the influence of pedagogical qualification on the teaching of gymnastics in primary education, focusing on Slovak teachers’ instructional practices, resource utilization, and perceptions of teaching difficulty. Gymnastics is a foundational component of physical education (PE), promoting critical motor skills such as coordination, balance, and strength. Despite its benefits, gymnastics is often perceived as a difficult subject to teach, largely due to gaps in teacher training. Material and methods An online survey was completed by 1 189 actively employed primary school teachers across Slovakia during the 2023/2024 school year. Respondents were grouped by pedagogical background: 52.23% held preschool/elementary education qualifications, while 47.77% had alternative pedagogical training such as PE specialization. Results Results showed that “Gymnastics/Dance” was rated as the second most challenging thematic unit by both groups, with 28.18% of preschool/elementary-qualified teachers and 34.54% of other-qualified teachers selecting it, following “Health/Fitness” (38.49% and 37.18%, respectively). Although differences were not statistically significant (χ ²(3) = 7.56, p = 0.055), they highlight widespread difficulty with gymnastics instruction. Apparatus use was similarly high in both groups, with 66.34% of preschool/elementary-trained and 66.20% of other-qualified teachers reporting use of traditional gymnastics equipment. However, significant differences were observed in broader equipment use (χ²(3) = 12.84, p = 0.005), where 23.35% of preschool/elementary-trained teachers reported using both traditional and non-traditional tools compared to 17.96% of other-qualified teachers. Perceptions of facility adequacy also varied significantly (χ²(3) = 9.86, p = 0.018), with more critical ratings from preschool/ elementary-trained respondents. Conclusions These findings suggest that pedagogical training influences teaching diversity, expectations, and perceived support in gymnastics education. The study highlights the need for more robust, practice-focused training in gymnastics during teacher preparation, as well as improved access to equipment and facilities to support high-quality instruction.