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.

This paper presents a full degrees-of-freedom (DOFs) robust control design for a nonlinear quadrotor unmanned aerial vehicle (UAV) operating under bounded disturbances. Second-order sliding modes controllers (SOSMCs) are designed so that the quadrotor UAV can follow a 3D trajectory in the presence of model uncertainties, underactuation, as well as external disturbances that may be matched or mismatched, and vanishing or nonvanishing. The stability analysis of the closed-loop system is presented via the Lyapunov method, showing the finite-time convergence of the system trajectories to the sliding surfaces, as well as the finite-time convergence of the quadrotor position and attitude to their reference values. The high-gain adaptation (HGA) method is adopted in the SOSMC technique, called SOSMC-HGA, to alleviate the chattering phenomenon. Simulation studies in different scenarios demonstrate that the SOSMC technique exhibits superior tracking performance and robustness properties compared to concurrent control methods for tracking reference trajectories of quadrotor UAVs. The simulation results confirm that SOSMC-HGA significantly attenuates the chattering phenomenon in control signals and system states, which is an important improvement, as it increases the safety of UAVs and reduces power consumption.

Quantum Key Distribution (QKD), a novel secret key agreement primitive, enables long-awaited practical Information-Theoretical Security (ITS). Over the last two decades, academic and industrial communities have devoted their time and resources to developing QKD- based networks that distribute ITS keys to remote parties. However, because of the limited availability of QKD network testbeds to the larger research community and the difficulty and cost of their deployment, progress in this area has been noticeably slow. To that end, we provide an analysis of selected simulated use-cases from the EU H2020 OPENQKD project using the QKDNetSim network simulator. The tool has been extensively upgraded to test novel network management methodologies applied to large-scale QKD networks.

In this case report, we describe the diagnostic modality of sinus of Valsalva aneurysm (SOVA) in combination with congenital cardiac defect, aortic valve involvement, and conduction abnormality in a 19-year-old patient. Aim of article was to understand the importance of clinicians being cautious about SOVA presenting in young patients, despite cases being rare, and that SOVA requires a thorough SOVA diagnostic approach. We further provide a review of literature highlighting and comparing the treatment options for both unruptured and ruptured SOVAs. The patient presented for examination due to tachycardia and palpitations. A murmur was heard, and the patient was found to have an atrioventricular nodal reentry tachycardia. Echocardiographic evaluation, magnetic resonance imaging, and computed tomography angiography confirmed an aneurysmally dilated aortic root, aortic regurgitation, and ventricular septal defect. Surgical intervention was indicated; however, the patient refused to undergo surgery.

Introduction: Transthyretin amyloid cardiomyopathy (ATTR-CM) can be diagnosed in the absen-ce of histology with typical echocardiographic fi ndings and skeletal scintigraphy showing grade 2 or 3 myocardial tracer uptake, when clonal plasma cell dyscrasia is excluded. Aim: To present a patient diagnosed with ATTR-CM, who was hospitalized with clinical signs of congestive heart failure. Case Report: An 84-year-old man was hospitalized with clinical signs of heart failure. Echocardiography showed concentric left ventricular hypertrophy (LVH) with reduced systolic function, along with impaired LV global longitudinal strain (GLS) with apical sparing (-9.9%). Serum and urine protein electrophoresis with immunofi xation were obtained and were negative for plasma cell dyscrasia. Bone scintigraphy showed similar radiotracer uptake in the myocar-dium and ribs (Perugini grade 2). The diagnosis of ATTR-CM was confi rmed. Conclusion: ATTR-CM is an underdiagnosed condition and should be suspected in patients with heart failure and unexplained LVH.