Results 181 to 190 of about 5,410 (222)

Non-linear association between mHealth-measured daily steps and subsequent healthcare expenditures among long-term app users in Osaka, Japan. [PDF]

SSM Popul Health
Kato H.
europepmc   +1 more source

A Compendium of Logic Gates Based on Reconfigurable Three‐Independent‐Gate Transistors Realized in FDSOI Hardware

Advanced Electronic Materials, EarlyView.
This work electrically characterizes sixteen logic gates built from three‐independent‐gate reconfigurable transistors fabricated on full‐scale 300 mm wafers using the industrial 22 nm fully depleted FDSOI process of GlobalFoundries. Static and time‐resolved measurements confirm correct operation, including a 1‐bit adder and reconfigurable AOI/OAI ...
Juan P. Martinez, Yuxuan He, Giulio Galderisi, Violetta Sessi, Niladri Bhattacharjee, Peter Baars, Kerstin Poenisch, Annekathrin Zeun, Konstantin Li, Fernando Koch, Binit Syamal, Thomas Mikolajick, Jens Trommer   +12 more
wiley   +1 more source

Critical review of healthcare financing and a survey of system quality perception among healthcare users in Nigeria (2010-2023). [PDF]

PLOS Glob Public Health
Josiah BO, Enebeli EC, Duncan BA, Adejumo PO, Josiah CC, Anukam L, Shittu MB, Ncube F, Alimele KE, Emmanuel M, Martins-Ifeanyi OP, Opeyemi FI, Akingbade O, Adebayo AP, Ibraheem BM, Ekenekot UA, Edafiejire MS, Olukoya SO, Mukoro UJ, Baghdasarian S, Obialor JC, Alao GO, Obialor BO, Otoboyor NL, Josiah OG, Okonkwo J, Imoyera PE, Gbolabo AA, Nganwuchu BC, Oladimeji OJ, Olaosebikan TW, Kantaris M.   +31 more
europepmc   +1 more source

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

Advanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho, Dae‐won Kim, Yujin Kim, Jung‐Heum Na, Yuwon Jeong, Dong‐Yeop Lee, Shinhyun Choi   +6 more
wiley   +1 more source

Evaluating the Implementation of Online Postal Self-Sampling for Sexually Transmitted Infections in England: Multisite Qualitative Study. [PDF]

J Med Internet Res
Spence T, Gibbs J, Wong G, Wong G, Howarth A, Copas A, Crundwell D, Jackson L, Mercer CH, Mohammed H, Apea V, Day S, Ross J, Sullivan A, Winter A, Dewsnap C, Burns FM, Sheringham J.   +17 more
europepmc   +1 more source

Efficient In‐Hardware Matrix–Vector Multiplication and Addition Exploiting Bilinearity of Schottky Barrier Transistors Processed on Industrial FDSOI

Advanced Electronic Materials, EarlyView.
ABSTRACT Machine learning and Artificial Intelligence (AI) tasks have stretched traditional hardware to its limits. In‐hardware computation is a novel approach that aims to run complex operations, such as matrix–vector multiplication, directly at the device level for increased efficiency.
Juan P. Martinez, Niladri Bhattacharjee, Yuxuan He, Giulio Galderisi, Brojogopal Sapui, Sara Mannaa, Ian O'Connor, Violetta Sessi, Peter Javorka, Thomas Mikolajick, Jens Trommer   +10 more
wiley   +1 more source

A governance process lens for evaluating local public sport facilities: a multi-level conceptual framework. [PDF]

Front Sports Act Living
Pan X, Zainal Abidin NE, Aman MS.
europepmc   +1 more source

Barriers to Ophthalmologic Care Reported by Family Caregivers of Users and Non-Users With Intellectual Disabilities. [PDF]

J Intellect Disabil Res
Hou CH, Chou YC, Shih SF, Pu C.
europepmc   +1 more source

Routine Generative AI Use and Acceptance of Medical AI: A Cross-Sectional Survey of Healthcare Workers and the Public in Japan. [PDF]

Cureus
Mitsuhashi T.
europepmc   +1 more source