This study documented the first evidence of healing and long‐term survival of blackmouth catsharks (Galeus melastomus) following traumatic mandibular fractures and associated soft tissue avulsions that resulted from previous captures on deep‐sea longlines. All sharks were actively feeding, despite acute and healed lesions, which suggests that such severe trauma did not impair feeding. Additionally, one female with a healed lesion and three developed eggcases indicated that reproduction was unaffected. Magnetic resonance imaging (MRI) showed no other alterations in the chondrocranium, splanchnocranium, or broader skeletomuscular system and major viscera. Although the small sample size does not fully represent postrelease survival for the species after capture in longline fisheries, the resilience observed was significant for conservation and fisheries management, which underscores the need for further research.

Tungsten disulfide (WS2) nanoparticles have emerged in the biomedical field as potential theranostic agents due to their unique properties, including biocompatibility. However, their impact on the immune response remains unexplored. This study aimed to evaluate the effects of inorganic fullerene-like WS2 (IF-WS2) nanostructures on human peripheral blood mononuclear cells (PBMCs) in vitro. The study investigated several parameters to evaluate the effects of IF-WS2 nanoparticles. Cytotoxicity was assessed by measuring cell viability, apoptosis, and necrosis. Internalization of IF-WS2 by PBMCs was analyzed using morphological and flow cytometric techniques. Proliferation was studied in CellTrace Far Red-prestained total PBMCs stimulated with phytohemagglutinin (PHA) and in isolated T cell cultures stimulated with CD3/CD28-coated beads. Additionally, the production of cytokines and chemokines was measured in culture supernatants of total PBMCs and T cells. IF-WS2 nanoparticles were non-cytotoxic up to a concentration of 200 µg/mL. Concentrations ≥25 µg/mL inhibited PHA-stimulated PBMC proliferation but did not affect T cell proliferation. Morphological and flow cytometric analysis demonstrated dose- and time-dependent internalization of IF-WS2 by macrophages. Additionally, IF-WS2 significantly reduced the production of pro-inflammatory cytokines (IL-1β, TNF-α, IL-8, MCP-1, and GRO-α) in PHA-stimulated PBMCs. Th1, Th17, and Th21 cytokines were downregulated, while Th2, Th9, and T regulatory cytokines were upregulated. In conclusion, this study demonstrated for the first time that pristine IF-WS2 nanoparticles, at non-cytotoxic concentrations, exhibit notable anti-inflammatory and immunomodulatory properties on activated PBMCs in vitro.

: The text defines media ecology as an approach to observing the media, not only as communication channels, tools and mediators, but as an environment that greatly influences our perceptions, understanding, evaluation, thinking, feeling, communication, interactions and ultimately, behavior, which under the influence of technologies, constantly adapt and become key generators of social and cultural changes. The text attempted to analyze a possible change in the way of collecting, selecting, interpreting and re/presenting and disseminating media information and content, i.e. the dominant editorial practice and media policy that have the possibility, by intentionally and biased focusing or neglecting certain topics, such as in this case environmental topics, encouraged by interests diametrically opposed to the interests of all humanity, to shape perceptions and public opinion. A change that would be determined by a holistic approach, looking at the overall mediatizing effects of everyday life, culture and society in terms of a new axiological system of values. The results of the analysis show that the sampled, represented, environmental topics in Bosnia and Herzegovina are selective, and the disseminated content is incomplete, marginalized and discontinuous, and in most cases identifies environmental problems without proposing possible solutions. A change in information would imply an active understanding and participation of all actors who participate in the processes of environmental communication, and the theory of media ecology plays a key role in the framework of acknowledging media literacy.

We classify the physical operators of the most general bosonic effective gauge theory up to dimension six using on-shell methods. Based on this classification, we compute the complete one-loop anomalous dimension employing both on-shell unitarity-based and geometric techniques. Our analysis fully accounts for the mixing of operators with different dimensions. The results broadly apply to any Effective Field Theory with arbitrary gauge symmetry and bosonic degrees of freedom. To illustrate their utility, we perform a complete cross-check of results on the renormalization of the Standard Model Effective Field Theory (SMEFT), $O(n)$ scalar theory, and the SMEFT extended with an axion-like particle. Additionally, we present new results for axion-like particles with CP-violating interactions.

BACKGROUND Environmental factors influence children's development. However, their impact on outdoor play among children from international settings remains understudied. This study examined associations between parent perceptions of environmental factors and outdoor play among an international sample of preschool-aged children. METHODS Data were sourced from the pilot phases of the SUNRISE International Study of Movement Behaviors in the Early Years. Parents completed a questionnaire about their child's outdoor play and environmental factors that influenced their child's participation in outdoor play in the past 3 days. RESULTS 1855 children from 19 countries (16 low- and middle-income countries) were examined. Heat (-25.6; 95% CI, -44.6 to -6.6), cold (-26.9; 95% CI, -45.9 to -8.4), and rain (-24.8; 95% CI, -43.3 to -6.6) were negatively associated with weekday outdoor play. Cold (-41.2; 95% CI, -62.4 to -20.0) and social instability (-40.7; 95% CI, -61.5 to -20.3) were negatively associated with weekend outdoor play. Playing at friend's or relative's homes (29.5 [95% CI, 18.6 to 40.5]; 37.9 [25.6 to 50.4]), greenspaces (23.1 [95% CI, 9.6 to 36.6]; 30.4 [95% CI, 15.1 to 45.8]), and on the street (41.4 [95% CI, 26.9 to 55.7]; 34.9 [95% CI, 18.2 to 51.3]) were associated with weekday and weekend day outdoor play, respectively. Playing on the family's property was also associated with weekend day outdoor play (25.5 [95% CI, 18.2 to 51.3]). CONCLUSIONS The environmental context is important to consider when developing interventions to promote outdoor play in young children across diverse international settings. Future research from representative populations is needed to confirm these findings.

This paper addresses gaps in prior research on empirical validation of Lehman’s laws of software evolution, which often focus on isolated aspects (e.g., defect frequency or architecture) and selected laws, overlooking broader trends and interdependencies. Through a comparative analysis of open-source and closed-source software, this paper introduces the impact of licensing models on software evolution. By examining real-world projects, the study evaluates Lehman’s laws in the context of modern software practices and user needs. This research shows that open-source solutions exhibit adaptability and continuous growth driven by contributor communities, while closed-source solutions prioritize development efforts aligned with business objectives. Adopting an open-source development approach may yield faster initial results but lead to significant technical debt and frequent code deprecation as the product evolves, while a closed-source approach ensures greater stability and consistency over time, though at a slower pace.

Liquid chromatography (LC) is a cornerstone of analytical separations, but comparing the retention times (RTs) across different LC methods is challenging because of variations in experimental parameters such as column type and solvent gradient. Nevertheless, RTs are powerful metrics in tandem mass spectrometry (MS2) that can reduce false positive rates for metabolite annotation, differentiate isobaric species, and improve peptide identification. Here, we present Graphormer-RT, a novel graph transformer that performs the first single-model method-independent prediction of RTs. We use the RepoRT data set, which contains 142,688 reverse phase (RP) RTs (from 191 methods) and 4,373 HILIC RTs (from 49 methods). Our best RP model (trained and tested on 191 methods) achieved a test set mean average error (MAE) of 29.3 ± 0.6 s, comparable performance to the state-of-the-art model which was only trained on a single LC method. Our best-performing HILIC model achieved a test MAE = 42.4 ± 2.9 s. We expect that Graphormer-RT can be used as an LC "foundation model", where transfer learning can reduce the amount of training data needed for highly accurate "specialist" models applied to method-specific RP and HILIC tasks. These frameworks could enable the machine optimization of automated LC workflows, improved filtration of candidate structures using predicted RTs, and the in silico annotation of unknown analytes in LC-MS2 measurements.

In the evolving trends of research and innovation (R&I) performance measurement and impact assessment, the traditional scientometric system – largely relying on quantitative metrics such as h-index and journal impact factors – is increasingly under scrutiny due to its limited capacity to capture a wider spectrum of scientific impact. The emergence of open science challenges traditional paradigms by advocating for more transparent and accessible research processes. Theoretically, this study expands the discourse on scientific impact evaluation by advocating for a broader set of criteria encompassing societal and economic dimensions. Integrating open science principles into research evaluation can provide a more comprehensive view of scientific contributions and enable academic inclusivity, transparency, and societal relevance, in line with the ethos of open science. Conceptually, the study analyzes the coexistence and dynamics between scientometric and open science evaluation systems, exploring their competitive and collaborative relationships. It examines the strengths and weaknesses of each system, revealing that a complete replacement of the scientometric approach by open science is unlikely, nor is there stagnation in their development. The main findings suggest a future where scientometric and open science systems coexist and partially converge, especially in the area of research and innovation outcome evaluation. This convergence heralds a more democratic and inclusive approach to evaluating scientific research. For policymakers and organizers of innovative systems, this study offers insights into possible policies that promote open science practices, developing evaluation metrics that acknowledge diverse scientific contributions, and fostering a research culture that values both scientific rigor and societal engagement. Using an exploratory method based on theoretical concepts and practical insights, this study contributes to more nuanced understanding of changing paradigms in research evaluation.

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.