Results 161 to 170 of about 726,689 (287)

Integrating Radiomics and Computational Pathology to Predict Early Recurrence of Pancreatic Ductal Adenocarcinoma and Uncover Its Biological Basis in Tumor Microenvironment

open access: yesAdvanced Science, EarlyView.
Accurate prediction of early recurrence in pancreatic ductal adenocarcinoma is vital for optimizing treatment. A novel, integrated radiomics‐pathology machine learning model successfully forecasts recurrence risks by analyzing preoperative CT images and computational pathology.
Sihang Cheng   +17 more
wiley   +1 more source

Introgressed Variation in TaMYB7‐A1 Drives Graded Dormancy and Climate‐Adaptive Pre‐Harvest Sprouting Resistance in Wheat

open access: yesAdvanced Science, EarlyView.
TaMYB7‐A1 directly activates TaABI5 to enhance ABA signaling and regulate ABA‐GA homeostasis, enforcing seed dormancy. Its superior allele, derived from wild einkorn introgression, harbors a MITE insertion that elevates expression and two amino acid substitutions that enhance transcriptional activity, collectively generating graded PHS resistance for ...
Hao Wang   +18 more
wiley   +1 more source

Synergistic Interplay of Acceptor and Isovalent Co‐Doping on BaZrO3‐Based Proton Conducting Oxides: A First‐Principles Study

open access: yesAdvanced Science, EarlyView.
Acceptor and isovalent co‐doping effects on hydration in BaZrO3 proton conductors are systematically investigated using first‐principles calculations. Acceptors enhance hydration by modulating oxygen vacancy formation, whereas isovalent dopants enhance hydration by stabilizing protons via increased A‐site cation–proton distances.
Yonghun Shin   +4 more
wiley   +1 more source

Pellet Printing for Soft Robotic Devices

open access: yesAdvanced Science, EarlyView.
Fused Granulate Fabrication (FGF) is established here as a reliable method for fabricating soft, airtight robotic devices. Through coordinated optimization of hardware, material selection, and process parameters, this approach enables high‐speed printing of thermoplastic elastomers with silicone‐like softness and modulus.
Yijia Wu   +6 more
wiley   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

open access: yesAdvanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu   +8 more
wiley   +1 more source

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