Results 121 to 130 of about 31,957 (239)

Image-space compensation of inter-crystal scattering in PET using a neural network based filter. [PDF]

EJNMMI Phys
Varnyú D, Rábely Á, Szirmay-Kalos L.
europepmc   +1 more source

Effect of Broad‐Spectrum Antibiotic Prophylaxis on Post‐Pancreatoduodenectomy Infectious Complications: Nationwide Inpatient Database Study in Japan

Annals of Gastroenterological Surgery, EarlyView.
Using a nationwide Japanese inpatient database, we evaluated whether broad‐spectrum antibiotic prophylaxis improves postoperative outcomes after pancreatoduodenectomy compared with narrow‐spectrum antibiotics. In propensity score–weighted analyses of 45 099 patients, broad‐spectrum prophylaxis was associated with significantly lower rates of intra ...
Hiroki Kitagawa, Shotaro Aso, Yuki Hirano, Kenichiro Uemura, Keita Kouzu, Satoru Matsuda, Hiroki Matsui, Kiyohide Fushimi, Junichi Sasaki, Yuko Kitagawa, Hideo Yasunaga   +10 more
wiley   +1 more source

Plant diversity within communities, not among them, stabilizes grassland productivity across spatial scales. [PDF]

Nat Commun
Huang M, Granjel RR, Montoya D, Xiao Y, Liu X, Hautier Y.   +5 more
europepmc   +1 more source

Information Dense and Industry Scalable Accelerated Formation

Advanced Intelligent Discovery, EarlyView.
Pulsed formation can reduce lithium‐ion battery formation time by over 50% while maintaining or enhancing performance. Validated on 25 Ah prismatic cells, this industry‐scalable method yields thinner, more homogeneous solid electrolyte interphases (SEIs).
Leon Merker, Markus Blessing, Bojing Zhang, Helge Sören Stein   +3 more
wiley   +1 more source

Research on the impact of population mobility on green total factor productivity: A perspective from sustainable development. [PDF]

PLoS One
Wang Z, Yang X, Wang L, Han Z.
europepmc   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Investigating spatial distribution of kindergartens in Chinese cities: A spatial stratified heterogeneity approach. [PDF]

PLoS One
Zhang B, He S, Jiang L.
europepmc   +1 more source

Evolution of Physical Intelligence Across Scales

Advanced Intelligent Discovery, EarlyView.
By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu, Tianyun Huang, Aming Li, Pengyu Lv, Tingting Qin, Wenhui Chen, Hui Wei, Huiling Duan   +7 more
wiley   +1 more source

AI‐Guided Co‐Optimization of Advanced Field‐Effect Transistors: Bridging Material, Device, and Fabrication Design

Advanced Intelligent Discovery, EarlyView.
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath, Shauryaraj K. Jilkar, Aditya Udgaonkar, Yu (Joe) Lu, Ali Mesbah   +4 more
wiley   +1 more source

Spatial early warning signals to assess economic resilience. [PDF]

iScience
Halleck Vega SM, Patuelli R, van Voorn G, Weinans E.   +3 more
europepmc   +1 more source