Results 231 to 240 of about 5,391,987 (327)

Development of user-customized online teaching technology based on GPT, enhanced by generative AI-based motion recognition. [PDF]

Sci Rep
Cho KG, Jaffrey ZB, Cho HH, Lee JW, Lee YJ, Paek SU, Won SY, Dashdorj Z, Altangerel E, Kang TK.   +9 more
europepmc   +1 more source

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

Advanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee, Osman Gul, Yeongjae Kwon, Jaeseok Jeong, Seokjoo Cho, Jihyeon Ahn, Jehee Yu, Cheolmin Kim, Donho Lee, Hyeonseok Han, Byeongju Lee, Jungrak Choi, Ji‐Hwan Ha, Yongrok Jeong, Kyungnam Kang, Ali Javey, Junseong Ahn, Inkyu Park   +17 more
wiley   +1 more source

Attentional, Affective, and Cognitive Responses to the Food and Drug Administration's "The Real Cost" Youth Cigarette and E-Cigarette Prevention Campaigns Among Young Adults. [PDF]

Am J Prev Med
Weiger C, Tfayli D, Ibrahim M, McKneely JA, Vigorita M, Peterson EB, Moran MB.   +6 more
europepmc   +1 more source

Selection Strategies for Flexible Pressure Sensor Electrode Materials Toward Ultrafast Response

Advanced Functional Materials, EarlyView.
This study reveals, for the first time, how the electrode–organic interface governs the temporal performance of flexible pressure sensors. By pairing high‐conductivity CVD PEDOT with commonly used metal electrodes, the authors demonstrate that interfacial energy alignment dictates microsecond‐scale response, providing a straightforward design strategy ...
Jinwook Baek, Yuxuan Zhang, Hyeondong Yang, Minyoung Kim, Pavlos P. Vlachos, Jeongok Choe, Bo‐Gyu Bok, Kejie Zhao, Han‐Wook Song, Min‐Seok Kim, Martin Byung‐Guk Jun, Sunghwan Lee   +11 more
wiley   +1 more source

Commitment to Self-Tracking Among Wearable-Device Users: Validation of the C2ST Scale and Known-Groups Evidence. [PDF]

Eur J Investig Health Psychol Educ
Remr J.
europepmc   +1 more source

Pore Size Effects of Mesoporous N‐Doped Carbon Nanospheres as Advanced Support Material on the Activity of Molybdenum Sulfide Catalysts for the Hydrogen Evolution Reaction

Advanced Functional Materials, EarlyView.
By tuning the pore size of mesoporous N‐doped carbon (MPNC) nanospheres as support material for molybdenum sulfide, the electrochemical activity of the composite material for the hydrogen evolution reaction can be optimized. An ideal MPNC pore size of 60 nm allows a high number of molybdenum sulfide active sites while maintaining efficient proton and ...
Niklas Ortlieb, Christian Völker, Lars Guggolz, Anna Fischer   +3 more
wiley   +1 more source

Subtle Gaze and Pupil Dynamics: Detecting Recognition of Familiar Faces with Moving Serial Visual Presentation. [PDF]

J Cogn
Chen IY, Mathôt S, Akyürek EG.
europepmc   +1 more source

Impact of Surface Functionalization on NV Quantum Properties: Implications for Biosensing with Fluorescent Nanodiamonds

Advanced Functional Materials, EarlyView.
Fluorescent nanodiamonds (fNDs) have emerged as an invaluable quantum sensing platform for biological and biochemical systems. This paper investigates the influence of common surface functionalization strategies for bioconjugation on the quantum properties of nitrogen vacancy (NV) centers in nanodiamonds.
Anja Sadžak, Iván Pérez, Mateja Guimarães, Lukas Spantzel, Fedor Jelezko, Michael Börsch, Anke Krueger   +6 more
wiley   +1 more source

Auxiliary diagnostic method for children with autism spectrum disorder based on virtual reality and eye-tracking technology. [PDF]

Sci Rep
Chen H, Zhang X, Chen Z, Ren Y, Liu R.
europepmc   +1 more source