Results 111 to 120 of about 2,820,171 (259)
Technical limitations often let dominant signals overshadow rare cell types and fine‐grained heterogeneity in spatial transcriptomics. SemanticST, a graph neural network using multi‐semantic graph fusion and a novel min‐cut loss, recovers these subtle patterns.
Roxana Zahedi +7 more
wiley +1 more source
Map shows land ownership, university and public school land, existing and proposed railroad lines in Andrews County, Texas during the early twentieth century. Includes note and listing of abstract companies in various Texas counties.
Logan Map Company
core
A deep learning–driven pipeline mining 246 million protein sequences uncovers AhPETase, an evolutionarily distinct PET hydrolase. Engineered variant AhPETaseM1 degrades post‐consumer PET microplastics under physiological conditions and reverses microplasticinduced cytotoxicity in human lung and colon cells, establishing enzymatic microplastic ...
Yuxuan Wang +9 more
wiley +1 more source
Korea 1:250,000 [cartographic material] /
1st ed. - AMS. "Constructed and molded from Korea 1:250,000 AMS L552."; Each map is individually titled by area and numbered within the series.; Topographic raised relief model map series of Korea showing populated places, roads, railroads, international
United States. Army Map Service.
core
Learning Work Function via Implicit Reasoning on Electrostatic Potential Landscapes
StructPot‐CLR establishes a cross‐modal contrastive learning framework that aligns the crystal structures of 2D materials with plane‐averaged electrostatic potential landscapes for physically informed work‐function prediction. The model achieves an MAE of 0.265 eV and an R2 of 0.902 on the held‐out test set while accurately preserving key morphological
Haoyu Wan, Yue Wu, Tianhao Su, Deng Pan
wiley +1 more source
Truk Islands: special strategic map.
Scale 1:1,000,000 ; Lambert conformal conic projection, standard parallels 7° and 20°, (E 148°--E 154°/N 10°--6°). 1 map : color ; 46 x 68 cm. Edition 1-AMS. Compiled by the Army Map Service, February 1943.
United States. Army Map Service.
core
RSMPNet: Relationship guided semantic map prediction [PDF]
In semantic navigation, a top-down map with accurate and complete semantic information is vital to subsequent decision-making. However, due to occlusions and limitations of the robot’s field of view (FOV), there are often unobserved areas in the top-down
Wu, Jing +3 more
core +1 more source
MolDBG is a site‐aware, sequence‐only framework that unifies drug‐target affinity prediction, binding‐site identification, and affinity‐conditioned molecular generation for structured proteins. Guided by multi‐task binding‐site supervision, it aligns interaction‐critical residues before learning drug‐target representations and simultaneously infers ...
Gang Luo +6 more
wiley +1 more source
World (Asia) 1:1,000,000 [cartographic material] /
Ed. 1 - AMS. "Constructed and molded in [year] from Asia 1:1,000,000, AMS Series 1301."; Each sheet is named and numbered individually.; Includes index to adjoining plastic relief maps.; Topographic relief model map series of Asia showing populated ...
United States. Army Map Service
core
Artificial Intelligence‐Empowered Single‐Cell Phenotyping for Rapid, Automated Pathogen Diagnostics
This work presents an integrated diagnostic platform that combines microfluidic single‐cell bacterial detection with artificial intelligence‐driven analysis for rapid antimicrobial susceptibility testing. Single‐cell phenotyping enables assessment of antibiotic response in only a few cell replication cycles, while AI analysis supports precise bacterial
Sabita Khadka +3 more
wiley +1 more source

