Results 131 to 140 of about 4,229,330 (247)
An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
Advanced Science, EarlyView.This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju +5 more
wiley +1 more source
Advanced Science, EarlyView.Our research unveiled a regulatory paradigm wherein TRIM25 orchestrates the ubiquitin‐mediated degradation of UGDH. UGDH modulates the protein stability of TJP1 by regulating O‐GlcNAcylation levels, effectively impeding the metastasis of ccRCC. Our insights elevate UGDH to a pivotal biomarker and tumor suppressor, marking the first demonstration that ...
Xiaolin Chen +13 more
wiley +1 more source
Report of the Forest Commissioner of the State of Maine
, 1902 The [9th] report contains "Wood-using industries of Maine by J.C. Nellis." Title-page omits "Report."Imprint varies: some vols. printed in Waterville, by the Sentinel Pub. Co.Vols.
Maine. Forest Commissioner. +1 more
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Polychip‐A High‐Throughput Droplet Microfluidics Platform for Interrogating Microbial Interactions
Advanced Science, EarlyView.Polychip, a fully integrated droplet microfluidics platform, enables high‐throughput, single‐cell resolution screening of polymicrobial interactions. By seamlessly combining six automated microfluidics operations on a single chip, the system accelerates antimicrobial discovery by 11 to 14 times compared to traditional robotic methods.
Jeong Jae Han +11 more
wiley +1 more source
Minnesota Forest Scene, Issue 13 (Spring 2014)
, 2014 1 electronic resource (PDF, 6 pages; includes color photographs)University of Minnesota. Department of Forest Resources. (2014). Minnesota Forest Scene, Issue 13 (Spring 2014).
University of Minnesota. Department of Forest Resources
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Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Advanced 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
Minnesota Forest Scene, Issue 15 (Fall 2015)
, 2015 1 electronic resource (PDF, 6 pages; includes color photographs)University of Minnesota. Department of Forest Resources. (2015). Minnesota Forest Scene, Issue 15 (Fall 2015). Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/
University of Minnesota. Department of Forest Resources
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Advanced Science, EarlyView.By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin +12 more
wiley +1 more source
Engineering Microbial Particles for Next‐Generation Biomedical Platforms
Advanced Science, EarlyView.Microbe‐derived particles (MDPs), which include extracellular vesicles, outer membrane vesicles, inclusion bodies, polysaccharide particles, and virus‐like particles, represent a rapidly expanding category of bioinspired nanomaterials. With their natural origin, intrinsic biocompatibility, and highly programmable functionality, MDPs serve as a ...
Yuting Li +7 more
wiley +1 more source
Minnesota Forest Scene, Issue 16 (Spring 2016)
, 2016 1 electronic resource (PDF, 6 pages; includes color photographs)Department of Forest Resources, University of Minnesota. (2016). Minnesota Forest Scene, Issue 16 (Spring 2016).
Department of Forest Resources, University of Minnesota
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