Results 111 to 120 of about 562,918 (320)

Pacinian Corpuscle‐Inspired Strain Conversion Enables Ultrasensitive, Linear, and Broad‐Range Piezoelectric Sensing for Cardiovascular Health Monitoring

open access: yesAdvanced Science, EarlyView.
A bioinspired piezoelectric sensor mimicking Pacinian corpuscles is developed to enable ultrasensitive and linear pressure sensing. A multilayer grooved architecture converts normal pressure into in‐plane strain, delivering high sensitivity, wide linear range, and efficient energy harvesting, enabling high‐fidelity wrist pulse monitoring and ...
Qi Yang   +8 more
wiley   +1 more source

Reprogrammable Phase‐Transition Composites for Adaptive Dynamic Shape Morphing

open access: yesAdvanced Science, EarlyView.
This paper reports a bio‐inspired reprogrammable phase‐transition composites that uses the stiffness change induced by reversible solid‐liquid phase transition to program and regulate the material deformation actuated by reversible liquid‐vapor phase transition, thereby achieving adaptive dynamic deformation in a controllable manner, and enabling ...
Yiding Zhong   +8 more
wiley   +1 more source

Images in cardiovascular medicine. Development of a cardiac neocavity after mechanic double-valve replacement: evaluation by cardiac magnetic resonance imaging.

open access: yesCirculation, 2005
A. Barmeyer   +11 more
semanticscholar   +2 more sources

Knowledge Sharing among Inventors: Some Historical Perspectives [PDF]

open access: yes
This chapter documents instances from past centuries where inventors freely shared knowledge of their innovations with other inventors. It is widely believed that such knowledge sharing is largely a recent development, as in open source software.
Alessandro Nuvolari, James Bessen
core  

The Future of Hydrogen‐Powered Aviation: Technologies, Challenges, and a Strategic Roadmap for Sustainable Decarbonization

open access: yesAdvanced Energy and Sustainability Research, EarlyView.
Hydrogen‐powered aviation offers a transformative pathway to zero‐emission flight by eliminating in‐flight CO2 emissions. Key considerations include propulsion systems (fuel cells and hydrogen combustion), cryogenic storage and insulation challenges, infrastructure and cost barriers, and supply‐chain constraints.
Mubasshira   +4 more
wiley   +1 more source

Scalable Liquid‐Phase Exfoliation of h‐BN for Solar‐Reflective and Thermally Stable Polymer Aerogels

open access: yesAdvanced Energy and Sustainability Research, EarlyView.
High‐pressure homogenization exfoliates hexagonal boron nitride (h‐BN) into stable nanosheets, which are incorporated into PVA, CMC, and HEC matrices to form lightweight composite aerogels. Tuning h‐BN loading (0–50 wt%) transforms the structure from porous to densely packed, tailoring optical, thermal, and mechanical properties. An optimized PVA/20 wt%
Mouza Alaryani   +6 more
wiley   +1 more source

Risk Assessment of a Tunnelling Process Using Machinery Failure Mode and Effects Analysis (MFMEA) [PDF]

open access: yes
In recent years, risk management associated with safety and reliability of the process especially in oil and gas industry has been widely used. For this purpose, different methods of risk analysis have been developed and successfully applied.
جعفری, محمدجواد   +1 more
core  

Prosthetic mechanic valve thrombosis in pregnancy: a single center study of 7 cases

open access: yes, 2013
A. Tounsi   +9 more
semanticscholar   +1 more source

Triboelectric Tactile Transducers for Neuromorphic Sensing and Synaptic Emulation: Materials, Architectures, and Interfaces

open access: yesAdvanced Energy and Sustainability Research, EarlyView.
Triboelectric nanogenerators are vital for sustainable energy in future technologies such as wearables, implants, AI, ML, sensors and medical systems. This review highlights improved TENG neuromorphic devices with higher energy output, better stability, reduced power demands, scalable designs and lower costs.
Ruthran Rameshkumar   +2 more
wiley   +1 more source

Which Method Best Predicts Postoperative Complications: Deep Learning, Machine Learning, or Conventional Logistic Regression?

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
Deep learning has shown promise in predicting postoperative complications, particularly when using image or time‐series data. However, on tabular clinical data such as the NCD, it often underperforms compared to conventional machine learning. Integrating multimodal data may enhance predictive accuracy and interpretability in surgical care.
Ryosuke Fukuyo   +4 more
wiley   +1 more source

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