Results 241 to 250 of about 84,629 (319)

A Novel Deep Temporal Feature Enhanced Just‐in‐Time Learning Framework for Predicting Rare Earth Component Content

open access: yesAsia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Real‐time online detection of rare earth element component contents is a crucial link in ensuring the stable production of the rare earth extraction and separation industry and improving the quality of rare earth products. The traditional methods for predicting the content of rare earth element components based on just‐in‐time learning fail to
Zhaohui Huang   +6 more
wiley   +1 more source

Sustainable Cellulose Ionogels With Promising Physical Structure, Properties, and Applications

open access: yesAdvanced Physics Research, EarlyView.
This study presents a comprehensive overview of cellulose functional gels, focusing on their molecular network design and physical properties. The extensive potential applications of cellulose gels in flexible electronics, biomedicine, and smart engineering are explored in depth. This work provides valuable insights and guidance for future research and
Wenjuan Wang   +6 more
wiley   +1 more source

The Role of miRNAs in Chicken Immune Regulation and Prospects for Disease‐Resistant Breeding

open access: yesAnimal Research and One Health, EarlyView.
A schematic workflow illustrating the screening of disease‐resistant miRNAs and the generation of miRNA‐based disease‐resistant chickens via PGC‐mediated germline genome editing. ABSTRACT MicroRNAs (miRNAs) are emerging as pivotal regulators of the immune system, playing a decisive role in shaping disease resistance in chicken.
Qiangzhou Wang   +10 more
wiley   +1 more source

“You're this person who's providing light”: Embodied responses to information loss and transition within LGBTQIA+ communities

open access: yesJournal of the Association for Information Science and Technology, EarlyView.
Abstract This paper reports on findings from 15 semi‐structured interviews with LGBTQIA+ individuals within the United States who have experienced the loss of one or more LGBTQIA+ information spaces. The paper specifically focuses on how such losses occurred and the information transitions experienced by the participants in response to this loss ...
Travis L. Wagner, Vanessa L. Kitzie
wiley   +1 more source

Knowledge-informed deep learning to mitigate bias in joint air pollutant prediction. [PDF]

open access: yesEnviron Int
Li L   +14 more
europepmc   +1 more source

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