The planning and execution of avalanche rescue missions to search for totally buried avalanche victims are mostly based on personal experience and preference, as evidence-based information from literature is almost completely missing. Hence, the aim of this study was to identify major factors determining the survival probability of totally buried victims during avalanche rescue missions carried out by organized rescue teams (Austrian Mountain Rescue Service, Tyrol). During the 12-year period studied, 109 totally buried persons (56 off-piste, 53 backcountry), were rescued or recovered; 18.3% survived to hospital discharge. Median depth of burial was 1.25 m; median duration of burial was 85 min. The majority (61.6%) of the rescue missions were conducted under considerably dangerous avalanche conditions. The probability of survival was highest when located visually and lowest for those located by avalanche transceiver; survival did not significantly differ between those found by rescue dogs and those located with avalanche probes. Multivariate analysis revealed short duration of burial and off-piste terrain to be the two independent predictors of survival. Whenever companion rescue fails, snow burial in an avalanche is associated with extraordinarily high mortality. Searching the avalanche debris with probe lines seems to be equally effective as compared to searching with rescue dogs. The potential hazard for rescuers during avalanche rescue missions comes mainly from self-triggered avalanches, hence thorough mission planning and critical risk-benefit assessment are of utmost importance for risk reduction.
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http://dx.doi.org/10.1089/ham.2007.1061 | DOI Listing |
Sensors (Basel)
December 2024
School of Computer Science and Engineering, Northeastern University, Shenyang 110000, China.
Natural disasters cause significant losses. Unmanned aerial vehicles (UAVs) are valuable in rescue missions but need to offload tasks to edge servers due to their limited computing power and battery life. This study proposes a task offloading decision algorithm called the multi-agent deep deterministic policy gradient with cooperation and experience replay (CER-MADDPG), which is based on multi-agent reinforcement learning for UAV computation offloading.
View Article and Find Full Text PDFJ Clin Med
December 2024
Department of Medical and Health Sciences Tarnobrzeg, State Higher Vocational School Memorial of Prof. Stanislaw Tarnowski in Tarnobrzeg, 39-400 Tarnobrzeg, Poland.
The World Health Organization (WHO) estimates that 180,000 patients die from burns every year, which is considered a serious public health issue. Patients with burns require immediate pre-hospital care and transport to specialized treatment facilities. The aim of this study was to outline the profile of the burn patient from the perspective of the Polish Medical Air Rescue (PMAR), as well as to analyze the medical procedures being implemented.
View Article and Find Full Text PDFJ Occup Environ Hyg
January 2025
Institute for Prevention and Occupational Medicine of the German Social Accident Insurance, Institute of the Ruhr University Bochum (IPA), Bochum, Germany.
Firefighters are exposed to a variety of hazardous substances during firefighting activities. Fire smoke contains polycyclic aromatic hydrocarbons (PAHs) some of which have been shown to cause cancer in humans. To assess dermal exposure of firefighters during real-life firefighting, a whole-body dosimetry method was applied to determine the PAH that settles on the skin despite firefighters wearing personal protective equipment (PPE).
View Article and Find Full Text PDFHeliyon
December 2024
Department of Clinical Medicine, Public Health, Life Sciences and the Environment, Piazzale Salvatore Tommasi, 67100, Coppito, L'Aquila, Italy.
Introduction: The use of helicopter emergency medical services is useful for rescuing or transporting highly time-dependent disease patients, from urban remote areas or harsh environments in the hospital, providing advanced pre-hospital life support in an emergency setting.
Study Objective: This study aims to identify changes in mission characteristics, crew composition, and operational procedures within the helicopter emergency medical service (HEMS) system of L'Aquila, Italy, to identify operational patterns, mission characteristics, crew composition and patient outcomes over time, with specific attention to changes implemented after the Monte Cefalone incident.
Methods: Changes in the characteristics of the rescued patients, the helicopter missions, the crew members and the type of interventions were analysed.
Sensors (Basel)
November 2024
Shenzhen Academy of Robotics, Shenzhen 518057, China.
Humanoid robots are typically designed for static environments, but real-world applications demand robust performance under dynamic, uncertain conditions. This paper introduces a perceptive motion planning and control algorithm that enables humanoid robots to navigate and operate effectively in environments with unpredictable kinematic and dynamic disturbances. The proposed algorithm ensures synchronized multi-limb motion while maintaining dynamic balance, utilizing real-time feedback from force, torque, and inertia sensors.
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