Results 201 to 210 of about 80,856 (306)

Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles

Advanced Materials, EarlyView.
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung, Jiaxiang Yi, Hieu Nguyen‐Duc, Tien Nu Hoang Lo, Weili Zhao, Chaoqun Dong, Fabien Sorin, Baris Caglar, Lei Wei, Tung Nguyen‐Dang   +9 more
wiley   +1 more source

Can nonpartisan primaries boost turnout and lessen demographic disparities? [PDF]

PLoS One
Donovan T, Micatka NK, Tolbert CJ.
europepmc   +1 more source

Design Principles for Fluid Molecular Ferroelectrics

Advanced Materials, EarlyView.
A major challenge for soft condensed matter is predicting whether a fluid molecular material will form ferroelectric phase with nematic or smectic order. Through systematic synthesis, and by analogy to solid molecular ferroelectrics, it is shown that subtle hydrogen–fluorine (H/F) substitution(s) allows for tuneable syn‐parallel pairing motifs ...
Calum J. Gibb, Jordan Hobbs, William C. Ogle, Richard. J. Mandle   +3 more
wiley   +1 more source

Vaccines and the 2024 US Presidential Election. [PDF]

JAMA Health Forum
Sharfstein JM, Westlund E, Frattaroli S, Levine AS, Pollack Porter K.   +4 more
europepmc   +1 more source

Soft Robotic Excretory Care Simulator for Nursing Education: Functional and Perceptual Biomimetics Approach

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, Sota Suzuki, Shizuka Watanabe, Zebing Mao, Young Ah Seong, Toshinori Fujie, Tatsuhiro Horii, Kenjiro Tadakuma, Koichi Suzumori, Hiroyuki Nabae, Shingo Maeda   +10 more
wiley   +1 more source

Updated International Patient Decision Aid Standards (IPDAS version 5.0): modified Delphi, evidence informed consensus process.

BMJ
Volk RJ, Lewis KB, Smith M, Carley M, Barry MJ, Bekker HL, Härter M, Hoffmann T, McCaffery K, Pignone M, Steffensen KD, Sepucha K, Thompson R, Trevena L, van der Weijden T, Witteman HO, Stacey D.   +16 more
europepmc   +1 more source

Evaluating Evidentiary Standards in the Realm of Citizen Policy Evaluation. [PDF]

Soc Sci Q
Justwan F, Baumgaertner B, McBrayer M, Bindley J, Benitez A, Haile K, Kludt-Painter B.   +6 more
europepmc   +1 more source

A Proof‐of‐Concept Assessment of a Novel Wearable Eyelid Muscle Device: A Pre‐Clinical Animal Cadaver Study for Eyelid Closure Restoration

Advanced Robotics Research, EarlyView.
This article introduces a soft wearable eyelid sling device incorporating a hydraulic soft artificial muscle (SAM) for achieving complete closure of an eyelid. The SAM is driven by a cam mechanism that provides a displacement profile closely matched with those of a healthy eyelid.
Patrick Pruscino, Phuoc Thien Phan, James Davies, Bibhu Sharma, Tianruo Guo, Chi Cong Nguyen, Nigel H. Lovell, Thanh Nho Do   +7 more
wiley   +1 more source

Collision‐Resilient Winged Drones Enabled by Tensegrity Structures

Advanced Robotics Research, EarlyView.
Based on structures of birds such as the woodpeck, this article presents the collision‐resilient aerial robot, SWIFT. SWIFT leverages tensegrity structures in the fuselage and wings which allow it to undergo large deformations in a crash, without sustaining damage. Experiments show that SWIFT can reduce impact forces by 70% over conventional structures.
Omar Aloui, Raphael Zufferey, William Stewart, Mohammad Askari, Simon Jeger, Dario Floreano   +5 more
wiley   +1 more source

Psychological Distress and Bias-relevant Thinking During the Jharkhand Elections Among Young Voters. [PDF]

Ann Neurosci
Kumari A, Hasan K, Mirza AZ, Kazmi SSH.
europepmc   +1 more source