Objectives Generative artificial intelligence (GAI) tools can enhance the quality and efficiency of medical research, but their improper use may result in plagiarism, academic fraud and unreliable findings. Transparent reporting of GAI use is essential, yet existing guidelines from journals and institutions are inconsistent, with no standardised principles. Design and setting International online Delphi study. Participants International experts in medicine and artificial intelligence. Main outcome measures The primary outcome measure is the consensus level of the Delphi expert panel on the items of inclusion criteria for GAMER (Rreporting guideline for the use of Generative Artificial intelligence tools in MEdical Research). Results The development process included a scoping review, two Delphi rounds and virtual meetings. 51 experts from 26 countries participated in the process (44 in the Delphi survey). The final checklist comprises nine reporting items: general declaration, GAI tool specifications, prompting techniques, tool’s role in the study, declaration of new GAI model(s) developed, artificial intelligence-assisted sections in the manuscript, content verification, data privacy and impact on conclusions. Conclusion GAMER provides universal and standardised guideline for GAI use in medical research, ensuring transparency, integrity and quality.

This study presents a digital twin approach to quantifying the durability and failure risk of concrete gravity dams by integrating advanced numerical modelling with field monitoring data. Building on a previously developed finite element model for dam–reservoir interaction analysis, this research extends its application to the assessment of existing, fully operational dams by using digital twin technology. One such case study of a digital twin is given for the concrete gravity dam, Salakovac. The numerical model combines finite element formulations representing the dam as a nonisothermal saturated porous medium and the reservoir water as an acoustic fluid, ensuring realistic simulation results of their interactions. The selected finite element discrete approximations enable the detailed analysis of the dam failure mechanisms under varying extreme conditions, while simultaneously ensuring the consistent transfer of all fields (displacement, temperature, and pressure) at the dam–reservoir interface. A key aspect of this research is the calibration of the numerical model through the systematic definition of boundary conditions, external loads, and material parameters to ensure that the simulation results closely align with observed behaviour, thereby reflecting the current state of the ageing concrete dam. For the given case study of the Salakovac Dam, we illustrate the use of the digital twin to predict the failure mechanism of an ageing concrete dam for the chosen scenario of extreme loads.

In competitive organizations and projects, assessing risks related to human capital is essential for improving workplace conditions and ensuring project success. This study evaluates primary, secondary, and residual human capital risks in urban water transfer projects using an innovative hybrid DEMATEL–MARCOS approach. The DEMATEL method was employed to analyze causal relationships and interdependencies among risks, while the MARCOS method ranked their significance. The key findings reveal that “accidents during material transportation” (primary risk), “corrosion” (secondary risk), and “pipeline pressure” (residual risk) are the most critical factors influencing human capital in such projects. The study provides a structured framework for prioritizing risk mitigation strategies, offering actionable insights for policymakers and project managers to enhance safety, efficiency, and workforce well-being. By integrating multi-criteria decision-making techniques, this research bridges a gap in the water industry’s risk management practices and contributes to safer, more sustainable infrastructure development.

Introduction The aim of the TALENT project is to promote equality in education, prevent exclusion, support dual careers (sport and school), create new role models for the benefit of young talents and prepare them for lifelong learning and professional sport from an early age. It is promoted by a European consortium of 7 partner institutions and runs from December 2022 to May 2025. It consists of five work packages. In the first work phase, developing the WP2 (from December 2022 to October 2023), under the coordination of UNIPA, NIS University, KMOP and EAS standards for talent recognition were identified and validated. Methods Initially, 12 focus groups were conducted with teachers (77 teachers) and coaches (73 coaches) on creating talent identification standards; subsequently, workshops were held with dual career experts to validate these standards. This was a key piece of work that enabled the establishment of clear guidelines and protocols to identify and support talented young people in their dual careers. Results A final list of 41 shared statements was identified: 20 related to teachers and 21 related to coaches. For example, teachers emphasized the need for multidisciplinary approaches and early identification of talent, while coaches underlined the importance of psychological readiness and collaboration with schools and families. Discussion These statements not only provide structured reference points for talent identification but also highlight actionable needs across educational and sport systems. As such, they represent a solid foundation for developing standard operating procedures in talent recognition and dual career support.

Pertaining to goal orientation and achievement, agency is a fundamental aspect of human cognition and behavior. Accordingly, detecting and quantifying linguistic encoding of agency are critical for the analysis of human actions, interactions, and social dynamics. Available agency-quantifying computational tools rely on word-counting methods, which typically are insensitive to the semantic context in which the words are used and consequently prone to miscoding, for example, in case of polysemy. Additionally, some currently available tools do not take into account differences in the intensity and directionality of agency. In order to overcome these shortcomings, we present BERTAgent, a novel tool to quantify semantic agency in text. BERTAgent is a computational language model that utilizes the transformers architecture, a popular deep learning approach to natural language processing. BERTAgent was fine-tuned using textual data that were evaluated by human coders with respect to the level of conveyed agency. In four validation studies, BERTAgent exhibits improved convergent and discriminant validity compared to previous solutions. Additionally, the detailed description of BERTAgent's development procedure serves as a tutorial for the advancement of similar tools, providing a blueprint for leveraging the existing lexicographical data sets in conjunction with the deep learning techniques in order to detect and quantify other psychological constructs in textual data. (PsycInfo Database Record (c) 2025 APA, all rights reserved).

A practical method is presented for determining root and pole cancellation functions of a matrix function $Q(z)$ meromorphic on the extended complex plane $\bar{\mathbb{C}}:=\mathbb{C} \cup \left\{ \infty \right\}$. This method is applied to solve a nonlinear system of $n\in \mathbb{N}$ differential equations of order $l\in \mathbb{N}$ with $n $ unknown functions $u_{i}\left( t \right)$, where $i=1,\, \mathellipsis ,\,n $. For a function $Q\in \mathcal{N}_{\kappa}(\mathcal{H}) ,\, \kappa \in \mathbb{N} \cup \lbrace 0 \rbrace$, posesing a pole at infinity of order $m \in \mathbb{N}$, the following factorization is establish \[ Q(z)=(z-\beta)^{m}\tilde{Q}(z), \, z\in \mathcal{D}(Q), \] where $\beta \in \mathbb{R}$ is a regular point of $Q$, and $\tilde{Q}\in \mathcal{N}_{\kappa'}(\mathcal{H})$ is holomotphic at $\infty$. Unlike the Krein-Langer representation of $Q$, which involves a linear relation $A$, this representation employs a bounded operator $\tilde{A}$ in the Krein-Langer representation of $\tilde{Q}$. The operator $\tilde{A}$ and the relation $A$ have identical spectra, except at $\beta$ and $\infty$. We demonstrate how to obtain this representation for a given meromorphic function $Q\in \mathcal{N}_{\kappa}^{n \times n}$ using the root functions developed in this work.

In the last ten years, there has been a drastic increase in the number of overnight stays and tourism revenues in the area of ​​the city of East Sarajevo, which was largely related to significant investments in the Jahorina Tourist Centre. This has increased the need to monitor the effects of tourism development in this destination in order to better manage this development. This paper presents the results of a survey of the attitudes of citizens of East Sarajevo, obtained using the European Tourism Indicator System (ETIS). To our knowledge, this is the first application of this tool in BiH. The results obtained show that the attitudes of citizens correlate with statistical data that tourism in this destination is most developed in winter, then summer, while it is far less developed in autumn and spring. The vast majority of citizens believe that tourism benefits their community, but also that they do not personally benefit from tourism. Approximately equal numbers of citizens are satisfied and dissatisfied with their participation in tourism planning and development activities. About ¾ of the population believes that tourism has a positive impact on local identity, while about 2/3 believe that tourism has a positive impact on the quality of life of citizens. The authors point to the fact that the research will have its full value only if it continues to be carried out periodically, and if the development planners of the relevant destination use it when making their decisions. Also, citizens’ views are only one aspect of the research, while for quality destination management it is necessary to know the views of other stakeholders (tourism workers, tourists, authorities).

One of the key factors for the successful digital transformation of waste collection and disposal companies is a change in business process management. The introduction of new technologies, with the integration of IoT, GIS and AI tools, requires the reengineering of business processes through an agile approach. In addition, this requires the improvement of employees’ digital competencies and the automation of decision-making. The key issue for the success of the digitalization process is in the model that defines the methods for implementing specific technological solutions and digital tools. These tools are necessary for collecting daily transactional information about the business, which can support or automate business decision-making in the short and long term context, assisted by AI technologies. The process of controlling business processes makes it possible to define and measure the impact on the overall economic indicators of the company. This paper proposes a model for integrating new technologies into the digital transformation process, illustrated through the case study of ALBA Zenica d.o.o.

Accurate, real-time collision detection is essential for ensuring player safety and effective refereeing in high-contact sports such as rugby, particularly given the severe risks associated with traumatic brain injuries (TBI). Traditional collision-monitoring methods employing fixed cameras or wearable sensors face limitations in visibility, coverage, and responsiveness. Previously, we introduced a framework using unmanned aerial vehicles (UAVs) for monitoring and real time kinematics extraction from videos of collision events. In this paper, we show that the strategies operating on the objective of ensuring at least one UAV captures every incident on the pitch have an emergent property of fulfilling a stronger key condition for successful kinematics extraction. Namely, they ensure that almost all collisions are captured by multiple drones, establishing multi-view fidelity and redundancy, while not requiring any drone-to-drone communication.

PurposeThis study aims to assess the extent to which the constructs of theory of planned behavior drive the social entrepreneurial intention (SEI) of the youth and provide a nuanced understanding of the role of prosocial behavior in shaping this intention.Design/methodology/approachA questionnaire was used to collect data with a sample size of 690 students, regarded as youth, across higher education institutions in Oman. Data analysis was performed using SPSS 25.0 and partial least squares structural equation modeling.FindingsThe results of the preliminary analysis confirmed that subjective norms toward social entrepreneurship (SE) and perceived behavioral control over SE were generally regarded as factors strongly associated with SEI. However, attitude toward SE did not affect the intention of the youth differently in this measure. Moreover, a positive correlation was found between prosocial behavior and SEI. Other results and implications were discussed.Originality/valueThe proposed SEI model sheds light on the possible influence of the prosocial behavior construct on the youth’s intention to be engaged in SE. The findings may help governments, policymakers and decision makers to promote positive youth development in three domains: education, labor market and community.

OBJECTIVES Brain tumor-related epilepsy management poses significant challenge in clinical practice. Healthcare providers must tailor treatment based on each patient's unique circumstances. Different antiepileptic drugs can be used, including oxcarbazepine. Several studies show this drug's efficacy and safety in brain tumor-related epilepsy. METHODS Observational, prospective study, monitoring the efficacy and safety of the drug oxcarbazepine in the prevention of epileptic seizures, included adult patients of both sexes with a supratentorial tumor and a risk of epileptic seizures after neurosurgery. RESULTS The study included 153 hospitalized patients. The percentages of amplified waves, sharp waves, and spike waves decreased in the second and third compared with the first visit. Significantly lower percentages of sharp waves (P = 0.028) on the second compared with the first measurement and spike waves (P = 0.002) on the third compared with the first measurement were determined. Deterioration from normal to low hemoglobin concentration was observed in 40 (26%) patients at the second visit and 17 (12%) at the third visit, compared with the first visit. However, mean corpuscular volume, mean corpuscular hemoglobin, and mean corpuscular hemoglobin concentration values did not change significantly during the 6 months of follow-up. A transient drop in the number of thrombocytes was observed on the second visit. Adverse reactions to the drug were mild. Therapeutic adherence was low, as measured by the Morisky Medication Adherence Scale (MMAS-4). CONCLUSIONS The drug oxcarbazepine has shown good efficacy and safety in the prevention of epileptic attacks after neurosurgery in patients with supratentorial tumors. Additional education of patients on the importance of taking regular therapy is crucial.

Background: The process of prenatal hematopoiesis occurs in various anatomical locations, including the placenta. The placenta is not merely a temporary hematopoietic reservoir, but it is one of the key sites for the synthesis of hematopoietic stem cells (HSCs). This study aimed to investigate the presence, distribution, and immunoprofiles of HSCs in the human placenta during different gestational periods. Materials and Methods: Placental samples of different gestational ages (first, second, and third trimesters) were analyzed using classical hematoxylin and eosin staining and immunohistochemical staining for CD34, CD117, and CD41 markers, with HSC quantification through numerical areal density (NA). Results: Highly immunoreactive CD34 HSCs were present in placentas throughout gestation, while highly immunoreactive CD117 and CD41 HSCs were observed during the first two trimesters. In the first trimester, HSCs were found within the lumen of blood vessels and as individual cells in the mesenchyme of chorionic villi. With advancing gestation, the number of HSCs in the mesenchyme of chorionic villi increased. Conclusions: Immunoreactive CD34, CD117, and CD41 cells are present in significant proportions in various parts of the placenta throughout gestation, indicating that the placenta provides a substantial proportion of HSCs for hematopoiesis.