Results 201 to 210 of about 16,122 (341)
HIGH CONSERVATION VALUE (HCV) CONSIDERATION IN THE EXTRICATION OF FOREST AREA FOR PALM PLANTATION
Muhamad Muhdar +2 more
openalex +1 more source
Spectral Decomposition of Chemical Semantics for Activity Cliffs‐Aware Molecular Property Prediction
PrismNet mimics chemical intuition by functioning as a computational prism, refracting molecular graphs into complementary semantic views and spectral frequencies. This dual‐decomposition strategy effectively captures both global topologies and subtle “activity cliff” perturbations.
Chaoyang Xie +9 more
wiley +1 more source
RegGAIN is a novel and powerful deep learning framework for inferring gene regulatory networks (GRNs) from single‐cell RNA sequencing data. By integrating self‐supervised contrastive learning with dual‐role gene representations, it consistently outperforms existing methods in both accuracy and robustness.
Qiyuan Guan +9 more
wiley +1 more source
Brighton Fire District and Brighton Professional Firefighters Association, International Association of Firefighters (IAFF), AFL-CIO, Local 2223 (2019) (MOA) [PDF]
core +1 more source
Extricating the Inconsistencies: The Basic Structure Doctrine and the Concept of Constituent Power
Purush Purushothaman
openalex +1 more source
Bronchial cast extrication in an intubated and ventilated patient [PDF]
Charles Coughlan +3 more
openalex +1 more source
Decoding Trap States in Working 2D Perovskite Multi‐Functional Devices
Illustration of the photoluminescence spectrum and energy‐level landscape governing trap‐mediated carrier dynamics in 2D F‐PEAI photodetectors. A novel approach capturing dynamic trap occupation and retrapping in devices under operating conditions, directly links defect energetics to carrier transport and enhanced photoresponse in multifunctional ...
Ioannis Leontis +8 more
wiley +1 more source
Crush syndrome after the Marrakesh earthquake: a case report and review of the literature. [PDF]
Zidouh A +4 more
europepmc +1 more source
Hierarchical Embedded Sphere Model combines DFT and interpretable machine learning to decode catalytic activity on TM‐doped MO2. It disentangles global electronic, active‐site, and local coordination effects, revealing two activation mechanisms: dopant‐driven (Rh@MO2) and coordination‐mediated (Fe@ZrO2).
Ziyuan Li +5 more
wiley +1 more source

