Breaches of confidential patient information are proliferating and the culprits are more sophisticated and sinister than ever. Hospitals and health systems are using smarter and faster tactics to stay one step ahead of the bad guys.
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Human Occupancy Monitoring and Positioning with Speed-Responsive Adaptive Sliding Window Using an Infrared Thermal Array Sensor.
Sensors (Basel)
December 2024
Department of Computer and Information Systems, The University of Aizu, Aizuwakamatsu 965-8580, Fukushima, Japan.
In the current era of advanced IoT technology, human occupancy monitoring and positioning technology is widely used in various scenarios. For example, it can optimize passenger flow in public transportation systems, enhance safety in large shopping malls, and adjust smart home devices based on the location and number of occupants for energy savings. Additionally, in homes requiring special care, it can provide timely assistance.
View Article and Find Full Text PDFResearch on Sports Injury Rehabilitation Detection Based on IoT Models for Digital Health Care.
Big Data
December 2024
College of Engineering and Design, Carleton University, Ottawa, Canada.
Article Synopsis
- Physical therapists focused on sports rehabilitation help injured athletes recover and prevent future injuries, treating various sports and work-related musculoskeletal issues.
- The integration of IoT technology allows for real-time monitoring of medical equipment, enhancing digital health care delivery by improving access and efficiency in treatment.
- Research indicates that IoT significantly enhances the tracking and management of sports injury rehabilitation, demonstrating superior performance and accuracy compared to traditional methods.
QF-LCA dataset: Quantum Field Lens Coding Algorithm for system state simulation and strong predictions.
Data Brief
December 2024
Department of Electrical and Computer Engineering, University of Victoria, Victoria, BC V8W 2Y2, Canada.
Quantum field lens coding algorithm (QF-LCA) dataset is useful for simulating systems and predict system events with high probability. This is achieved by computing QF lens distance-based variables associated to event probabilities from the dataset produced by field lenses that encode system states on a quantum level. The probability of a state transition (ST), doubles in prediction values at the decoding step, e.
View Article and Find Full Text PDFGraph Curvature Flow-Based Masked Attention.
J Chem Inf Model
November 2024
The College of Computer and Cyber Security, Fujian Normal University, Fuzhou 350117, China.
Graph neural networks (GNNs) have revolutionized drug discovery in chemistry and biology, enhancing efficiency and reducing resource demands. However, classical GNNs often struggle to capture long-range dependencies due to challenges like oversmoothing and oversquashing. Graph Transformers address these issues by employing global self-attention mechanisms that allow direct information exchange between any pair of nodes, enabling the modeling of long-range interactions.
View Article and Find Full Text PDFEnhanced climate change resilience on wheat anther morphology using optimized deep learning techniques.
Sci Rep
October 2024
College of Computing & IT, University of Doha for Science and Technology, Doha, Qatar.
Wheat commands attention due to its significant impact on culture, nutrition, the economy, and the guarantee of food security. The anticipated rise in temperatures resulting from climate change is a key factor contributing to food insecurity, as it markedly reduces wheat harvests. Terminal heat stress mostly affects spike fertility in wheat, specifically influencing pollen fertility and anther morphology.
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