Results 241 to 250 of about 949,598 (342)

Transforming data to delight: AI-led campaign personalization shapes digital natives' intention to accept over a TAM-VAM approach. [PDF]

Front Artif Intell
Durgha Devi L, Arumugam T.
europepmc   +1 more source

Anomalous Pressure‐Temperature Ultrahigh Sensitivities in Atomically Engineered Carbonitride MXenes for Multifunctional Wearable Human–Machine Interfaces: Joint Computational–Experimental Elucidations

Advanced Functional Materials, EarlyView.
Atomically engineered layered 2D Ti3CNTz carbonitride MXene exhibits ultrahigh heat and pressure sensitivity, enabling dual‐mode sensors with 300%–400% performance enhancement and durability for real‐time health‐monitoring interface devices. Precise nitrogen incorporation (e.g., Ti3C1.8N0.2Tz) boosts conductivity, enhancing temperature response, while ...
Debananda Mohapatra, Ju‐Hyoung Han, Hyun Jin Kang, Jeong Eun Byun, Seonghun Lee, Sanghyuk Lee, Yeseul Son, Jaeeun Park, Tae Joo Shin, Youngho Kang, Jung Woo Lee, Soon‐Yong Kwon, Soo‐Hyun Kim   +12 more
wiley   +1 more source

Trust and anxiety as primary drivers of digital health acceptance in multiple sclerosis: toward an extended disease-specific technology acceptance model. [PDF]

Front Digit Health
Höpfl F, Brundiers M.
europepmc   +1 more source

4D‐Printed Magneto‐Plasmonic Microrobots for Programmable Spatiotemporal De‐Icing

Advanced Functional Materials, EarlyView.
A 4D‐printing strategy is introduced to achieve programmable de‐icing devices. By aligning gold–magnetite nanofillers within a photosensitive resin, the printed structures exhibit dual magnetic and plasmonic functionalities, enabling precise spatio‐temporal ice removal through thermoplasmonic effects.
Amélie Pérot, Andrea Cosola, Eléonore Aïdonidis, Jérôme Fresnais, Clément Sanchez, Philippe Belleville, Giancarlo Rizza, Marco Faustini   +7 more
wiley   +1 more source

Socioeconomic differences in older adults' intention to use mhealth applications. [PDF]

BMC Geriatr
van Elburg F, Nieboer AP, Askari M.
europepmc   +1 more source

Photon Avalanching Nanoparticles: The Next Generation of Upconverting Nanomaterials?

Advanced Functional Materials, EarlyView.
This Perspective outlines the mechanistic foundations that enable photon‐avalanche (PA) behavior in lanthanide nanomaterials and contrasts them with emerging application spaces and forward‐looking design strategies. By bridging threshold engineering, energy‐transfer dynamics, and materials engineering, we provide a coherent roadmap for advancing the ...
Kimoon Lee, Yunseo Kim, Hyeong‐ku Jo, Dongjoon Yoon, Byeonghyeok Im, WonJeong Yu, Eui‐Rim On, Changhwan Lee   +7 more
wiley   +1 more source

Adopting and validating a technology acceptance model-based paradigm to assess acceptance and satisfaction with electronic health information system by healthcare providers in resource-limited governmental and non-governmental hospitals. [PDF]

PLOS Digit Health
Dweikat A, Dwaikat N, Shawahna R.
europepmc   +1 more source

Meniscus Pixel Printing for Contact‐Lens Vision Sensing and Robotic Control

Advanced Functional Materials, EarlyView.
A visual‐sensing contact lens is enabled by meniscus pixel printing (MPP), which rapidly patterns a 200 µm perovskite photodetector pixel in 1 s without masks, vacuum processing, or bulky equipment. A deep‐learning‐based super‐resolution reconstructs sparse on‐lens signals into 80 × 80 high‐resolution visual information, while AI‐driven eye‐tracking ...
Byung‐Hoon Gong, Dohyean Kim, Jiyun Jeong, Taekyeong Kim, Soon‐sung Kwon, Junyoung Seo, Il Jeon, Im Doo Jung   +7 more
wiley   +1 more source

The Influence of Perceived of Usefulness, Perceived Ease of Use, and Perceived Security on Repurchase Intention at Tokopedia.com

Proceedings of the 2nd Padang International Conference on Education, Economics, Business and Accounting (PICEEBA-2 2018), 2019
Dina Patrisia, Yunia Wardi, Azmen Kahar
openaire   +1 more source

Differential acceptance of a national digital health platform among community and frontline health workers in Cote d'Ivoire: a cross-sectional study. [PDF]

Front Digit Health
Kourouma KR, Mian A, Fadiga AG, Bayo S, Sow Diakité A, Källander K, Adzra E, Yépié SY, Gnangui V, Gokou S, Karamoko L, Djololo U, Kouamé B, Diomandé N, Yéo S, Soumahoro S, Kadja F, Pongathié A, Bléhiri FS, Yavo W.   +19 more
europepmc   +1 more source