Results 141 to 150 of about 852,128 (332)

Data‐Driven Fatigue Prediction of Superalloys: A Novel Strategy Integrating Transfer Learning and Partial Label Learning for Addressing Ambiguous Data

open access: yesAdvanced Science, EarlyView.
A novel machine learning strategy tackles ambiguous compositional data to predict superalloy fatigue. By integrating partial label with transfer learning and enriching features through thermodynamic calculations, this approach achieves superior accuracy and interpretability.
Haopeng Lv   +10 more
wiley   +1 more source

On the Role of Informal vs. Formal Context of Language Experience in Italian–German Primary School Children [PDF]

open access: gold
Mariapaola Piccione   +5 more
openalex   +1 more source

Lactylation‐Driven YTHDC1 Alleviates MASLD by Suppressing PTPN22‐Mediated Dephosphorylation of NLRP3

open access: yesAdvanced Science, EarlyView.
In MASLD, YTHDC1 undergoes increased lactylation and ubiquitination, reducing its expression. AARS1 mediates lactylation at lysine 565, while disrupted binding to LDHA further promotes lactylation, suppressing YTHDC1. This downregulation enhances PTPN22 mRNA stability, leading to NLRP3 dephosphorylation and activation, which exacerbates inflammation ...
Feng Zhang   +16 more
wiley   +1 more source

Foundation Model‐Enabled Multimodal Deep Learning for Prognostic Prediction in Colorectal Cancer with Incomplete Modalities: A Multi‐Institutional Retrospective Study

open access: yesAdvanced Science, EarlyView.
FLARE, a multimodal AI framework, combines pathology slides, radiology scans, and clinical reports to predict colorectal cancer outcomes, even when some tests are missing. Evaluated retrospectively in 1679 patients from four medical centers, it consistently achieved the best prognostic accuracy and clearly separated high‐ and low‐risk groups.
Linhao Qu   +6 more
wiley   +1 more source

Precision Editing of NLRS Improves Effector Recognition for Enhanced Disease Resistance

open access: yesAdvanced Science, EarlyView.
Precision engineering of plant NLR immune receptors enables rational design of enhanced pathogen resistance through mismatched pairing, domain swapping, and targeted mutagenesis. These approaches achieve multi‐fold expansion in recognition breadth while minimizing autoimmunity risks and fitness penalties.
Vinit Kumar   +7 more
wiley   +1 more source

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