Considering the escalating global prevalence and the huge therapeutic demand for the treatment of hypertension, there is a persistent need to identify novel target sites for vasodilator action. This study aimed to investigate the role of TRPA1 channels in carvacrol-induced vasodilation and to design novel compounds based on carvacrol structure with improved activities. In an isolated tissue bath experiment, it was shown that 1 µM of the selective TRPA1 antagonist A967079 significantly (p < 0.001) reduced vasodilation induced by 3 mM of carvacrol. A reliable 3D-QSAR model with good statistical parameters was created (R2 = 0.83; Q2 = 0.59 and Rpred2 = 0.84) using 29 TRPA1 agonists. Obtained results from this model were used for the design of novel TRPA1 activators, and to predict their activity against TRPA1. Predicted pEC50 activities of these molecules range between 4.996 to 5.235 compared to experimental pEC50 of 4.77 for carvacrol. Molecular docking studies showed that designed molecules interact with similar amino acid residues of the TRPA1 channel as carvacrol, with eight compounds showing lower binding energies. In conclusion, carvacrol-induced vasodilation is partly mediated by the activation of TRPA1 channels. Combining different in silico approaches pointed out that the molecule D27 (2-[2-(hydroxymethyl)-4-methylphenyl]acetamide) is the best candidate for further synthesis and experimental evaluation in in vitro conditions.

Introduction. The development of the coronavirus disease 2019 (COVID-19) vaccine marked the beginning of the end of the pandemic and the understanding of the disease as something that is part of clinical practice. The aim of this study was to investigate, assess, and demonstrate the signifi cance of vaccination on the outcome of severely ill patients treated in intensive care units. Methods. A retrospective study was conducted on a sample of patients hospitalized at the Clinic for Infectious Diseases of the Clinical Center of the University of Sarajevo during 2022. Results. Participants who were vaccinated against COVID-19 had a lower mortality rate and a higher chance of survival compared to unvaccinated participants. Additionally, disease outcomes were signifi cantly infl uenced by oxygen saturation and platelet count at admission. Conclusion. COVID-19 vaccination signifi cantly reduced the mortality rate, with vaccinated par-ticipants having a higher chance of survival compared to unvaccinated participants.

Case summary A 1-year-old domestic shorthair queen with five neonates was referred for umbilical cord entwinement in three kittens 24 h after parturition. The owner noticed the kittens were stuck to each other 3 h before admission. Despite a conservative treatment approach, prolonged ischaemia led to dry gangrenous changes in one of the kitten’s metatarsi. Relevance and novel information This and other neonatal complications in cats are rarely reported. Primiparity is a known factor contributing to postpartum complications. Furthermore, inexperienced owners require more assistance in mitigating these challenges. Therefore, further research and collaboration among breeders, owners and veterinary professionals are imperative in order to accurately determine the prevalence of this condition in kittens and develop effective strategies to address it.

BACKGROUND The proliferation of sexting among adolescents around the world today has woven a complex tapestry of sexual expression and exploration. However, its implications extend beyond consensual engagement, occasionally manifesting as a form of cyberviolence. Varied prevalence rates further complicate our understanding of the extent of youth sexting worldwide. Therefore, this study aims to provide a tool to measure sexting in young people from different countries by validating the Sexting Behaviours and Motives Questionnaire (SBM-Q), a comprehensive instrument that captures the diversity of consensual and non-consensual sexting behaviors and motives in different countries. METHOD A total of 4739 students, aged 15 to 25, participated. They were from Spain (1563), Croatia (1598), and Bosnia and Herzegovina (1578). Confirmatory factor analyses and multigroup analyses were conducted. RESULTS The validity of the instrument was confirmed, endorsing its six-factor structure, which includes the dimensions of sending, reasons for sending, victimization by non-consensual forwarding, receiving, forwarding, and reasons for forwarding. Internal consistency across the three countries further underscores the robustness of the SBM-Q. CONCLUSIONS This validated questionnaire provides a reliable measure for understanding sexting behaviors and motives in different countries. Cultural nuances are discussed.

Robots and other autonomous agents are well-positioned in the research discourse to support the care of people with challenges such as physical and/or cognitive disabilities. However, designing these robots can be complex as it involves considering a wide range of factors (e.g., individual needs, physical environment, technology capabilities, digital literacy), stakeholders (e.g., care recipients, formal and informal caregivers, technology developers), and contexts (e.g., hospitals, nursing homes, outpatient care facilities, private homes). The challenges are in gaining design insights for this unique use case and translating this knowledge into actionable, generalizable guidelines for other designers. This one-day workshop seeks to bring together researchers with diverse expertise and experience across academia, healthcare, and industry, spanning perspectives from multiple disciplines, including design, robotics, and human-computer interaction, with the primary goal being a consensus on best practices for generating and operationalizing design knowledge for robotic systems for care settings.

We report a case of a 34-year-old woman diagnosed with HER2-positive breast cancer at 12 weeks of pregnancy. The oncology team opted for neoadjuvant chemotherapy while continuing the pregnancy. To exclude metastatic liver disease, CT was not feasible due to radiation risks, and liver MRI was avoided due to concerns about gadolinium deposition in the fetal basal ganglia.

Thermal insulation materials play a vital role in minimising energy loss in building operation and also affect the amount of greenhouse gas emissions associated with heating and cooling. In this context, it is becoming an increasingly important milestone to find suitable thermal insulation materials that not only meet the technical requirements but also minimise their environmental impact. The trend towards the use of eco-friendly materials for thermal insulation reflects the construction industry’s desire to contribute to environmental protection and the transition to more sustainable models of building construction and renovation. For more than 20 years, a number of research teams have been investigating the possibility of replacing synthetically produced materials such as mineral wool and polystyrene foam with natural fibre-based insulation materials. These alternatives include wood as a traditional, easily renewable raw material. This, together with the low energy intensity of processing and manufacturing wood materials, contributes to its low carbon footprint. Compared to traditional synthetic insulation materials, which are often energy intensive to produce, wood is a more environmentally friendly choice. However, with many European countries now facing a potential shortage of higher quality wood, it is necessary to look for alternative sources of wood, including in the field of thermal insulation materials, materials with a lower carbon footprint that can be produced from lower quality wood or from wood waste that would otherwise only have an energy use. The paper is devoted to the study and use of suitable wood waste and secondary raw materials from spruce wood (coarse wood chips, sawdust and wood flour) for the development of modern thermal insulations with the aim of an environmentally friendly and less energy-intensive production process compared to conventional insulants.

Abstract Red mud, a voluminous industrial waste produced during the Bayer process in the alumina industry, has numerous application possibilities across various fields. Its potential uses are diverse, ranging from the construction industry and metallurgy to environmental protection and agriculture. There are three main aspects of red mud utilization. First, it can be analyzed from the point of view of resource utilization, where it could be applied as raw material mostly in the construction industry. Second, it could be a useful source of valuable components, such as rare earths and metals, especially iron. Third, red mud could have different environmental applications, in wastewater treatment, soil remediation, etc.The paper summarizes current data on red mud utilization methods and aims to emphasize the potential for red mud utilization in various fields.

The paper explores the evolving role of Artificial Intelligence (AI) in perinatal medicine and hu-man reproduction, highlighting its potential to transform clinical practices. AI technologies are being utilized to improve diagnostic accuracy, personalize treatment, and enhance patient care, particularly in areas like perinatal ultrasound, fetal heart rate monitoring, and fetal neurology. The Kurjak Antenatal Neurodevelopmental Test (KANET) exemplifies how AI can aid early detection of neurodevelopmental disorders. However, the integration of AI presents challenges such as data quality concerns, algorithmic bias, ethical concerns, and the need for robust regulatory frameworks. The authors argue that while AI offers significant opportunities, its implementation must be carefully managed to avoid over-reliance on technology and ensure equitable healthcare access. The paper concludes that the current state of AI in this field marks not an endpoint but a critical phase of growth and development, necessitating a balanced approach that combines innovation with ethical and practical considerations.

Accurate differentiation between Ventricular Tachycardia (VT) and Ventricular Fibrillation (VF) is essential in the field of cardiology. Recent advancements in deep learning have facilitated automated arrhythmia recognition, surpassing traditional electrocardiogram (ECG) methods that depend on manual feature extraction. Building on our previous work, which emphasized the importance of identifying patterns of regularity, we have developed a model that merges Graph Convolutional Networks (GCN) with Long Short-Term Memory (LSTM) networks. This GCN-LSTM model employs a trainable weighted ϵ-neighborhood graph to capture the similarity among time series within ECG segments. This approach has demonstrated substantial improvement in the classification of VT, VF, and non-ventricular rhythms.

The tendency to abolish, to obtain heat from coal in order to reduce atmospheric pollution, leads to the closure of coal deposits. The alternative for obtaining heat, especially in the category of heating smaller residential buildings, with wood pellets, although acceptable from an ecological point of view, has its drawbacks, if one takes into account the scale of the required amount of energy and the role of the forest in purifying the air. Wood pulp and coal as basic energy carriers have hydrocarbon compounds. So, in both cases COx and NOx gases appear as gaseous products. The difference is in their scale. Unlike wood, coal also contains sulfur compounds, which makes it an environmentally unacceptable fuel. By adding a certain amount of wood pulp and additives to the coal mass, in this work, pyrophyllite shale, the impact on the energy and ecological aspects of heat release of such a complex fuel mixture was investigated. The ecological aspect is accentuated through the release of sulfur from coal. The mixture was subjected to the briquetting process, and the obtained samples were tested with relevant parameters, primarily the obtained lower heat value and sulfur content (SOx) in these products. The obtained results are very optimistic with both parameters mentioned above and can be a guide for further research for this idea. Key words: coal, wood sawdust, briquette, calorific value, sulfur, ecology.

Background: After introducing interleukin(IL)-1/IL-6 inhibitors, some Still and Still-like patients developed unusual often fatal pulmonary disease. This complication was associated with scoring as DReSS (drug reaction with eosinophilia and systemic symptoms) implicating these inhibitors, although DReSS can be difficult to recognize in the setting of systemic inflammatory disease. Objective: We sought to facilitate recognition of IL-1/IL-6 inhibitor-DReSS in systemic inflammatory illnesses (Still/Still-like) by looking at timing and reaction-associated features. We evaluated outcomes of stopping or not-stopping IL-1/IL-6-inhibitors after DReSS reaction began. Methods: In an international study collaborating primarily with pediatric specialists, we characterized features of 89 drug-reaction cases versus 773 drug-exposed controls and compared outcomes of 52 cases stopping IL-1/IL-6-inhibitors to 37 cases not-stopping these drugs. Results: Before reaction began, drug-reaction cases and controls were clinically comparable, except for younger disease onset age for reaction cases with pre-existing cardiothoracic comorbidities. After reaction began, increased rates of pulmonary complications and macrophage activation syndrome (MAS), differentiated drug-reaction cases from drug-tolerant controls (p=4.7×10−35; p=1.1×10−24, respectively). Initial DReSS feature was typically reported 2–8 weeks after initiating IL-1/IL-6-inhibition. In drug-reaction cases stopping versus not-stopping IL-1/IL-6-inhibitor treatment, reaction related features were indistinguishable, including pulmonary complication rates [75%(39/52] versus [76%(28/37)]. Those stopping subsequently required fewer medications for treatment of systemic inflammation, had decreased rates of MAS, and improved survival (p=0.005, multivariate regression). Resolution of pulmonary complications occurred in 67%(26/39) of drug-reaction cases who stopped and in none who continued inhibitors. Conclusions: In systemic inflammatory illnesses, recognition of IL-1/IL-6-inhibitor-associated reactions followed by avoidance of IL-1/IL-6-inhibitors significantly improved outcomes.