Results 151 to 160 of about 2,413,020 (301)
Minnesota Forest Scene, Issue 13 (Spring 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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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
Editorial: Land degradation and forest management
Gopal Shukla +4 more
doaj +1 more source
Minnesota Forest Scene, Issue 15 (Fall 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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ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source
Performance–Complexity Trade‐Offs in Battery Lifetime Prediction with Task‐Aware Transformers
FAST‐BatPro integrates convolutional feature extraction, flash Attention, and sparse attention for efficient battery lifetime prediction. Using limited early‐cycle data across multiple chemistries and operating conditions, it achieves robust accuracy while reducing inference latency, computational cost, and energy consumption.
Jingyuan Zhao +9 more
wiley +1 more source
Minnesota Forest Scene, Issue 16 (Spring 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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Sustainable Materials Design With Multi‐Modal Artificial Intelligence
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
A meta-analysis of carbon losses and gains from tropical moist forest degradation and regeneration. [PDF]
Heinrich V +40 more
europepmc +1 more source

