Results 231 to 240 of about 225,952 (299)
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo +6 more
wiley +1 more source
Policy, Price, and Perception: A Phenomenological Qualitative Study of the Rural Food Environment Among Latina Households. [PDF]
Santos NB +3 more
europepmc +1 more source
By combining ionic nonvolatile memories and transistors, this work proposes a compact synaptic unit to enable low‐precision neural network training. The design supports in situ weight quantization without extra programming and achieves accuracy comparable to ideal methods. This work obtains energy consumption advantage of 25.51× (ECRAM) and 4.84× (RRAM)
Zhen Yang +9 more
wiley +1 more source
Schedule optimization for chemical library synthesis. [PDF]
Ai Q +5 more
europepmc +1 more source
This review outlines the wound healing process and factors influencing scar formation, explores how certain animals and human fetuses achieve scarless skin or tissue regeneration, and details tissue engineering material strategies employed in scarless wound dressings.
Meimei Fu +7 more
wiley +1 more source
Dynamic job shop scheduling under multiple order disturbances using deep reinforcement learning. [PDF]
Sun Z, Han W, Gao L, Zhu C, Lyu Q.
europepmc +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
"It Is Not Possible to Balance It Easily": A Phenomenological Study Exploring the Experience of Work-Family Conflict in Contemporary Chinese Society. [PDF]
Chen S, Cheng MI, Elqayam S, Scase M.
europepmc +1 more source
A neural network‐enabled permittivity engineering paradigm is introduced, transcending traditional trial‐and‐error design. By decoupling electromagnetic parameters and screening a high‐throughput feature space, an ultrathin (1.0 mm) magnetic absorber is inversely designed, experimentally achieving a superior and customizable 5.1 GHz bandwidth and ...
Chenxi Liu +9 more
wiley +1 more source

