Results 161 to 170 of about 1,295,192 (344)
This study presents a novel microscopic imaging system capable of rapid, section‐free scanning of irregular tissue surfaces, delivering high sensitivity for detecting cancer cell clusters during intraoperative tumor margin assessment. Abstract Rapid and accurate intraoperative examination of tumor margins is crucial for precise surgical treatment, yet ...
Zhicheng Shao +17 more
wiley +1 more source
Determination of Steady State Stability Margin Using Extreme Learning Machine
Power systems have increased in size and complexity due to rapid growth of widespread interconnection. This situation will make power system operated closer to steady-state stability limit (SSSL) resulting in higher probability voltage instability or voltage collapse.
openaire +1 more source
Tumor evolution in lung adenocarcinoma is shaped by genetic alterations and spatial immune dynamics. By integrating whole‐exome sequencing, imaging mass cytometry, and spatial transcriptomics across two mouse models, this study reveals how mutational burden, immune infiltration, and cell–state interactions evolve during early and late carcinogenesis ...
Bo Zhu +34 more
wiley +1 more source
Local Learning vs. Global Learning: An Introduction to Maxi-Min Margin Machine [PDF]
K. Huang, H. Yang, I. King, M.R. Lyu
openaire +1 more source
Identifying disease‐causing genes in neurocognitive disorders remains challenging due to variants of uncertain significance. CLinNET employs dual‐branch neural networks integrating Reactome pathways and Gene Ontology terms to provide pathway‐level interpretability of genomic alterations.
Ivan Bakhshayeshi +5 more
wiley +1 more source
This study introduces DualPG‐DTA, a framework integrating two pre‐trained models to generate molecular and protein representations. It constructs dual graphs processed by specialized neural networks with dynamic attention for feature fusion, achieving superior benchmark performance.
Yihao Chen +7 more
wiley +1 more source
Solid predominant lung adenocarcinoma exhibits an immune‐excluded, ferroptosis‐resistant niche enriched with IL4I1⁺ TAMs and TDO2⁺ myCAFs. Spatial and multi‐omics analyses reveal AhR‐driven crosstalk that promotes T cell exhaustion and therapy resistance. Blocking AhR with CH‐223191 restores ferroptosis sensitivity, and its combination with ferroptosis
Zhaoxuan Wang +16 more
wiley +1 more source
A machine-learning reconstruction of sea surface p CO 2 in the North American Atlantic Coastal Ocean Margin from 1993 to 2021 [PDF]
Zelun Wu +5 more
openalex +1 more source
This study presents a hybrid quantum‐classical framework for accurate prediction of protein structures on utility‐level quantum processors. We evaluate the practical application of the Variational Quantum Eigen‐solver (VQE) in protein structure prediction and demonstrate its superiority over state‐of‐the‐art deep learning methods in molecular docking ...
Yuqi Zhang +10 more
wiley +1 more source
Active Force Dynamics in Red Blood Cells Under Non‐Invasive Optical Tweezers
A non‐invasive method combines low‐power optical tweezers with high‐speed microscopy to simultaneously monitor local membrane forces and displacements in single human red blood cells. This dual‐channel approach reveals a mechano‐dynamic signature that correlates the cell's metabolic state with its mechanical activity. This energetic framework serves as
Arnau Dorn +5 more
wiley +1 more source

