Results 111 to 120 of about 4,956,886 (372)

Ultra‐Sensitive Nanofiber‐Based Triboelectric Nanogenerator for Energy Harvesting and Self‐Powered Sensing

Advanced Materials, EarlyView.
A multidimensional molecular strategy optimizes the tribonegative layer by electrospinning PVDF‐HFP for dipole alignment and crystallinity, followed by 2D borophene doping to enhance conductivity and charge trapping. Integrated with Nylon‐66 nanofibers, the composite device delivers a record sensitivity of 53.8 ± 1.2 V kPa−1 at 3 Hz, enabling ultra ...
Sajib Roy, Bhaskar Dudem, Md Delowar Hussain, Vlad Stolojan, Seyedeh Sadrieh Emadian, Satheesh Krishnamurthy, Jae Sung Yun, S. Ravi P. Silva   +7 more
wiley   +1 more source

Knowledge, attitude, and practice of artificial intelligence among doctors and medical students in Saudi Arabia

Journal of Family Medicine and Primary Care
Background: Artificial intelligence (AI) is advancing rapidly across fields, including healthcare, where it is being adopted for diagnostics and patient management.
Faisal A. Alabbad, Aljohara S. Almeneessier, Mohammed Hisham Alshalan, Mohammad N. Aljarba   +3 more
doaj   +1 more source

Attitudes to AI among high school students: Understanding distrust towards humans will not help us understand distrust towards AI

, 2021
Klaudia T. Bochniarz, Stanisław K. Czerwiński, Artur Sawicki, Paweł A. Atroszko   +3 more
openalex   +1 more source

AI‐Enhanced Gait Analysis Insole with Self‐Powered Triboelectric Sensors for Flatfoot Condition Detection

Advanced Materials Technologies, Volume 10, Issue 6, March 18, 2025.
The given research presents an innovative insole‐based device employing self‐powered triboelectric nanogenerators (TENG) for flatfoot detection. By integrating TENG tactile sensors within an insole, the device converts mechanical energy from foot movements to electrical signals analyzed via machine learning, achieving an 82% accuracy rate in flatfoot ...
Moldir Issabek, Sabyrzhan Oralkhan, Adeliya Anash, Nuriya Nurbergenova, Azat Balapan, Azamat Yeshmukhametov, Yeltay Rakhmanov, Gulnur Kalimuldina   +7 more
wiley   +1 more source

Three axis attitude control system [PDF]

, 1988
A three-axis attitude control system for an orbiting body comprised of a motor driven flywheel supported by a torque producing active magnetic bearing is described.
Studer, Philip A.
core   +1 more source

Deep Memory Networks for Attitude Identification

, 2017
We consider the task of identifying attitudes towards a given set of entities from text. Conventionally, this task is decomposed into two separate subtasks: target detection that identifies whether each entity is mentioned in the text, either explicitly ...
Chang C.-C., Collobert R., De Marneffe M.-C., Faulkner A., Gimpel K., Glorot X., Hasan K. S., Hermann K. M., Irsoy O., Jiang L., Kingma D., Kobayashi N., Le Q. V., Li F., Mikolov T., Mohammad S. M., Popescu A., Socher R., Socher R., Sukhbaatar S., Vo D.-T., Walker M. A., Wang S., Zhang M., Zirn C.   +24 more
core   +1 more source

Food‐Based Edible Wireless Sensing Device with Isotropic Electromagnetic Response for Gastrointestinal Monitoring

Advanced Materials Technologies, EarlyView.
A sensor is fabricated that reflects electromagnetic waves wirelessly using only edible materials. The substrate is made of edible materials such as sugar and starch, and the electrodes are made of gold. This sensor has isotropic electromagnetic wave characteristics in response to rotation.
Ryosuke Matsuda, Kentaro Tomita, Shion Miura, Michiyuki Satoh, Tetsuo Kan, Hiroaki Onoe   +5 more
wiley   +1 more source

Educating health professionals about disability: ‘attitudes, attitudes, attitudes’ [PDF]

Journal of the Royal Society of Medicine, 2000
M, Byron, P, Dieppe
openaire   +2 more sources

Pre-travel advice, attitudes and hepatitis A and B vaccination rates among travellers from seven countries^† [PDF]

, 2016
Anita Heywood, Hans Dieter Nothdurft, Dominique Tessier, Melissa Moodley, Lars Rombo, Cinzia Marano, Laurence De Moerlooze   +6 more
openalex   +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