System Simulation (United Kingdom)

Abstract Background : First aid is the initial care provided in response to acute illness or injury, with objectives to preserve life, alleviate suffering, prevent deterioration, and promote recovery. Our hypothesis is that incorporating a mobile application into a first aid training intervention for undergraduate students will enhance their knowledge acquisition in these situations. The objectives of the study are to design and assess the performance of a first aid training program supported by information and communication technology tools that combines self-learning and practice with simulation for undergraduate students. Methods : The learning content comprises three topics: seizure crises, basic life support with automated defibrillation, and airway obstruction. The methodology was a hybrid format, with online theoretical material complemented by synchronous training sessions through simulation. To evaluate the intervention, multiple choice tests were implemented before and after the training and performance checklist during simulations. Results : Performance outcomes during simulation obtain the required items to guarantee the competence. The participants rated the application positively and gained confidence in responding to an emergency. Conclusion : Use of IT devices can be an alternative to traditional face-to-face teaching. Simulation is an indispensable tool in first aid education that promotes the automation of actions and participant satisfaction.

Two-dimensional (2D) boron-based materials have gained increasing interest due to their exceptional physicochemical properties and potential technological applications. In this way, borospherene, a 2D Boron-based fullerene-like lattice (2D–B40), is explored due to its potential for capturing and detecting toxic gases, such as CO, NO, NH3, and SO2. Therefore, density functional theory (DFT) simulations were carried out to explore the adsorption energy and the distinct interaction regimes, where CO exhibits weak physisorption (−0.16 eV), while NO (−2.24 eV), NH3 (−1.47 eV), and SO2 (−1.51 eV) undergo strong chemisorption. Bader charge analysis reveals significant electron donation from 2D–B40 to NO and electron acceptance from SO2. These interactions cause measurable shifts in work function, with SO2 producing the most significant modulation (ΔΦ = +14.6%). Remarkably, ab initio molecular dynamics simulations (AIMD) reveal spontaneous SO2 decomposition at room temperature, indicating dual functionality for both sensing and environmental remediation. Compared to other boron-based materials, such as χ3-borophene, β12-borophene, and B40 fullerene, 2D–B40 exhibits superior gas affinity, positioning it as a versatile platform for the detection and capture of toxic gases. Our findings therefore contribute to the advancement of research on low-dimensional boron-based materials aimed at multifunctional applications.

With the continuous advancement of modern science and technology, multi-platform avionics systems are playing an increasingly important role in collaborative tasks and resource scheduling. Traditional single-platform avionics systems exhibit significant shortcomings in performance, scalability, and resource sharing, making them unable to meet the requirements for systematized collaboration and efficient scheduling in future applications. This paper addresses the issues of heterogeneity, dynamics, and high coupling in multi-platform avionics systems by proposing a resource servitization method for such systems. This method realizes semantic abstraction and unified description of resource functions through a three-layer ontology modeling of resource, capability, and service, and designs a multi-level service management framework to support cross-platform resource discovery, invocation, and composition. Finally, in combination with a typical joint search task scenario, this paper constructs a prototype system and conducts function and performance verification. The experimental results show that the proposed method can effectively improve resource utilization and cross-platform collaboration efficiency, and can still ensure low response latency and high system stability in the case of node scale expansion and increased communication load, providing strong support for efficient collaborative operations in multi-platform systems.

Rhabdomyolysis is a serious clinical condition often associated with serious complications and can be life-threatening in nature. The following is a case report of a healthy 17-year-old male adolescent who presented with rhabdomyolysis due to a dual hit of Influenza A and excessive physical exertion. Acute onset of myalgia, weakness in the lower extremities, and dark urine warranted his hospitalization in the intensive care unit for critical monitoring and investigation. The laboratory findings indicated a high creatine kinase level of more than 60,000 U/L, severe metabolic acidosis, hyperkalemia, and renal failure. Despite aggressive fluid resuscitation, persistent anuria and metabolic derangements warranted renal replacement therapy with continuous veno-venous hemofiltration followed by intermittent hemodialysis, resulting in progressive recovery of renal function and clinical improvement. This case highlights the importance of recognizing rhabdomyolysis in patients presenting with acute neuromuscular symptoms after febrile illness and strenuous exercise, emphasizing the need for early diagnosis and prompt supportive management to prevent irreversible renal injury.

A mesh processing scheme for handling higher- order split-conformal cases in the Finite-Difference Time-Domain (FDTD) method is presented, addressing challenges in simulating complex geometries involving thin and random metallic structures. It introduces a comprehensive framework that includes identification, classification, and processing techniques to accurately handle higher-order split-conformal mesh facets. The effectiveness of the scheme is demonstrated through an example, showing improved modeling accuracy with sparser mesh lines and reduced computational complexity.