Results 101 to 110 of about 144,919 (268)
Chemically Doped Conductive Polymers for Wearable Health Monitoring
Advanced Materials Technologies, EarlyView.Among conductive polymers, poly(3,4‐ethylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS), polyaniline (PANI), and polypyrrole (PPy) are the most studied and applied. Chemical doping significantly boosts intrinsic conductivity and mechanical robustness.
Mengdi Zuo +5 more
wiley +1 more source
Advanced Robotics Research, EarlyView.A soft robotic simulator is developed to replicate the digital removal of feces (DRF), a sensitive yet essential nursing procedure. Integrating soft actuators, sensors, and a realistic rectal model, the simulator balances functional fidelity with perceptual realism. Engineering evaluations and nurse feedback confirm its potential to enhance training in
Shoko Miyagawa +10 more
wiley +1 more source
Advanced Robotics Research, EarlyView.Pak Biawak, a necrobot, embodies an unusual fusion of biology and robotics. Designed to repurpose natural structures after death, it challenges conventional boundaries between nature and engineering. Its movements are precise yet unsettling, raising questions about sustainability, ethics, and the untapped potential of biointegrated machines.
Leo Foulds +2 more
wiley +1 more source
Advanced Sustainable Systems, EarlyView.This article explores what drives households to adopt solar PV and battery systems in South East Queensland. Using hybrid discrete choice experiments, it reveals distinct adopter profiles and highlights cost, system size, and energy independence as key motivators.
Mohammad Alipour +3 more
wiley +1 more source
Advanced Sustainable Systems, EarlyView.Microorganisms colonizing photovoltaic surfaces in the Atacama desert form biofilms that enhance particle adhesion and reduce energy yield. This study identifies UV‐resistant bacteria and carotenoid‐producing strains that interfere with PV performance.
Douglas Olivares +8 more
wiley +1 more source
Advanced Theory and Simulations, EarlyView.This study highlights the potential of deep learning, particularly Convolutional Neural Networks (CNNs), for predicting the photovoltaic performance of organic solar cells. By leveraging 2D images representing donor/acceptor molecular pairs, the model accurately estimates key performance indicators proving that this image‐based approach offers a fast ...
Khoukha Khoussa +2 more
wiley +1 more source
Advanced Science, EarlyView.Fiber energy harvesters offer unprecedented flexibility and a unique capacity for integration into commercial textiles, overcoming the limitations of bulky and rigid conventional devices. This review summarizes recent advances in fiber‐based energy harvesting and provides strategic outlooks to accelerate technological progress in the field. ABSTRACT As
Hanhwi Jang +8 more
wiley +1 more source
Neddylation Targets and Stabilizes NLRP3 to Augment Inflammasome‐Mediated Colitis and Mood Disorder
Advanced Science, EarlyView.NLRP3 inflammasome contributes to colitis and mood disorder. This study demonstrates that neddylation targets NLRP3 at K287, which hinders its interaction with K48‐linked ubiquitination E3 Trim31 and thereby stabilizes it. Neddylation blockade in myeloid cells and microglia mitigates DSS‐induced colitis and psychological stress‐induced anxiety‐like ...
Wenbin Gai +13 more
wiley +1 more source