Determinants of regular self-monitoring of blood pressure in a digital health-based management program among Korean adults living in a remote community : a community-based observational study. [PDF]
Lee H, Oh J, Lee JS.
europepmc +1 more source
Analog Weight Update Rule in Ferroelectric Hafnia, Using picoJoule Programming Pulses
Resistive, ferroelectric synaptic weights based on BEOL‐compatible hafnia/zirconia nanolaminates are fabricated. Lateral downscaling the devices below 10 µm2 enables 20 ns programming with electrical pulses, dissipating ≤ 3 pJ. Experimental results show that final conductance state is set by pulse amplitude, and is largely independent of the initial ...
Alexandre Baigol +7 more
wiley +1 more source
Willingness to Share Internet Use Data for Research on Early Disease Detection: Cross-Sectional Survey. [PDF]
Derksen C +4 more
europepmc +1 more source
In dynamic driving scenarios, the proposed approach ensures only temporally aligned sensor inputs to make driving decisions, preventing false activations. By enabling selective hardware‐level learning, it achieves fast, reliable responses under noisy conditions.
Kapil Bhardwaj +4 more
wiley +1 more source
Subarachnoid haemorrhage during premenopausal dienogest therapy in a patient with multiple risk factors. [PDF]
Kojima T +3 more
europepmc +1 more source
From Flexible to Conformable Pressure Sensors: Mechanisms, Materials, and Biomedical Applications
This review highlights recent progress, challenges and future opportunities in pressure sensing for advanced biomedical applications. We summarize key transduction mechanisms and emerging material strategies, discuss representative wearable and implantable applications for continuous physiological monitoring and provide a focused perspective on barrier
Rishabh B. Mishra +2 more
wiley +1 more source
From Knowledge to Action: Next Steps for the Natural Science Collections Community. [PDF]
Ellwood ER +10 more
europepmc +1 more source
Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali +3 more
wiley +1 more source
This review provides a bottom‐up evaluation of sodium‐ion battery safety, linking material degradation mechanisms, cell engineering parameters, and module/pack assembly. It emphasizes that understanding intrinsic material stability and establishing coordinated engineering control across hierarchical levels are vital for preventing degradation coupling ...
Won‐Gwang Lim +5 more
wiley +1 more source
Editorial: Inclusive health communication: strategies for equitable information dissemination. [PDF]
Munté-Pascual A, Ruiz-Eugenio L.
europepmc +1 more source

