12-May-2025 Paper interpretation - Effect of structured nurse-patient conversation on preventing falls among patients in an acute care hospital: A mixed study AMiner Academic Falls are a serious public health problem globally, particularly in acute care hospitals, where hospitalized patients are at high risk for falls and may experience adverse outcomes such as prolonged hospital stays. Multifactorial fall prevention programs can reduce the risk of falls and related injuries, but successful implementation requires active patient participation. Journal International Journal of Nursing Sciences
12-May-2025 McGill researchers highlight disparities in ‘aging in place’ McGill University While health status is an important factor in whether a person is able to grow old in their home and community (age in place), researchers at McGill University have shed new light on the social factors that can also have an impact, both directly and through their impact on health over a lifetime. “The main takeaway from our research is that aging in place is not equally accessible to everyone,” said Amélie Quesnel-Vallée, the senior author on the paper and the Inaugural Chair and Professor in the Department of Equity, Ethics and Policy and the Canada Research Chair in Policies and Health Inequalities. Journal Age and Ageing
12-May-2025 Scientists track tiny structures key to advanced electronics DOE/Oak Ridge National Laboratory As demand for energy-intensive computing grows, researchers at ORNL have developed a new technique that lets scientists see how interfaces move in promising materials for computing and other applications. The method, now available to users at the Center for Nanophase Materials Sciences at ORNL, could help design dramatically more energy-efficient technologies. Journal Small Methods
12-May-2025 Heterogeneous spatio-temporal graph contrastive learning for point-of-interest recommendation Tsinghua University Press Point-of-Interest (POI) recommendation is crucial in the recommendation system field. Graph neural networks are used for POI recommendations, but data sparsity affects GNN training. Existing GNN-based methods have two flaws. Firstly, they have coarse granularity for modelling heterogeneity, overlooking complex relationships due to time and space factors. Although some work constructs complex graphs, it may reduce performance by introducing noise. Secondly, they insufficiently consider interaction sparsity issues, with little attention in POI recommendations. To solve these problems, a novel method HestGCL is proposed. It builds a heterogeneous spatio-temporal graph with three node types and three relations to model heterogeneity at a finer granularity. Inspired by self-supervised learning, it uses a cross-view contrastive learning technique, splitting the graph into spatial and temporal views, designing specific graph neural networks, and using node representations for contrastive learning. Experiments on three datasets show that HestGCL outperforms state-of-the-art methods, with relative improvements in Recall@50, and ablation studies prove its effectiveness and robustness. Journal Tsinghua Science & Technology
12-May-2025 Few-shot object detection via dual-domain feature fusion and patch-level attention Tsinghua University Press Researchers from Chinese Academy of Sciences and Peking University introduce DFFPA—a novel method that enhances detection capabilities for new object classes with limited data. DFFPA leverages dual-domain feature fusion and patch-level attention to achieve superior performance. This breakthrough holds good potential for applications in autonomous driving and robotics. Journal Tsinghua Science & Technology
12-May-2025 The first deep-sea experimental application of diamond quantum vector magnetometer Science China Press The first deep-sea experimental application of diamond quantum vector magnetometer. Journal National Science Review
12-May-2025 Social, cultural, and economic status affects the quality of your medical treatment Aarhus University Extensive Danish study with 177,495 participants shows significant social, cultural, and economic differences in the risk of receiving inappropriate medication – even in a country with free and equal access to healthcare services. Journal PLOS Medicine
9-May-2025 Terasaki Institute researchers unveil rapid self-healing electronic skin, paving the way for smarter, tougher wearables Terasaki Institute for Biomedical Innovation In a breakthrough that could redefine the future of wearable technology, scientists at the Terasaki Institute for Biomedical Innovation have developed an electronic skin that can heal itself within just 10 seconds of being damaged. This cutting-edge material, which maintains both flexibility and electrical performance after repeated wear and tear, overcomes one of the biggest challenges in wearable electronics — and could soon power next-generation health monitoring devices. The team’s findings appear in a new study titled: “Rapid Self-Healing Electronic Skin for Real-Time Biosignal Monitoring.” This innovative work was recently featured in WIRED Japan, highlighting its potential impact on the future of health technology and personalized care.
9-May-2025 What NASA is learning from the biggest geomagnetic storm in 20 years NASA/Goddard Space Flight Center On May 10, 2024, the first G5 or “severe” geomagnetic storm in over two decades hit Earth. The event, named the Gannon storm in memory of leading space weather physicist Jennifer Gannon, did not cause any catastrophic damages. But a year on, key insights from the Gannon storm are helping us understand and prepare for future geomagnetic storms. Journal Journal of Geophysical Research Space Physics
8-May-2025 Ask a Mizzou expert: What is psychedelic-assisted therapy? University of Missouri-Columbia The use of psychedelics by people struggling with mental health issues has gotten increased media attention in recent years.
