Results 161 to 170 of about 2,181,558 (234)
A spatial niche composed of BTLA+B cells and CD8+T cells is enriched at the tumor boundary in non‐small cell lung cancer. Within this specialized niche, BTLA+B cells act as a dominant source of IL‐6, upregulating PD‐1 on CD8+T cells via STAT3 signaling.
Jiajuan Wu +6 more
wiley +1 more source
Detection of lung cancer using Kronecker mobile forward harmonic net. [PDF]
Prasad JR +4 more
europepmc +1 more source
Existing machine learning potentials remain limited in their ability to generalize across the broad chemical and structural variability of C–S–H. Here, a representative DFT‐labeled dataset is constructed through large‐scale model generation, redundancy‐controlled screening, first‐principles optimization, and targeted sampling of non‐equilibrium ...
Yunjian Li +4 more
wiley +1 more source
Elastic wave interaction with a stressed half-space containing voids. [PDF]
Abo-Dahab SM +5 more
europepmc +1 more source
Researchers developed and applied a generative artificial intelligence (AI) model to optimize epsilon‐near‐zero thin film stacks for ultra‐broadband perfect absorption of light. The fabricated AI‐designed absorber, with a total thickness of only 160 nm, experimentally demonstrated an absorption bandwidth exceeding 1000 nm while maintaining greater than
David Dang +10 more
wiley +1 more source
A novel reduced-switch asymmetric multilevel inverter with scalable structure and flexible source selection algorithms. [PDF]
Sabzi S +3 more
europepmc +1 more source
This study reveals that large tumors secrete more chemokine CXCL3, which recruits immunosuppressive neutrophils to the periphery, thereby impairing the activation and memory of systemic tumor‑reactive CD8+ T cells. CXCL3 antagonism restores systemic immune memory and enhances the antitumor efficacy of anti‑PD‑1 therapy, offering a potential strategy to
Ji Wang +15 more
wiley +1 more source
Predictive Modeling of Vibration Behavior for Ceramic Matrix Composite Thin Plates with Protective Coating in High-Temperature Environments. [PDF]
Yang Y +6 more
europepmc +1 more source
PrOMet: Accurate and Robust Metal‐Binding Site and Type Prediction
PrOMet is a two‐stage deep learning framework for jointly predicting metal‐binding sites and ion identities from protein structures. Surface candidate sites are first pruned, followed by refinement of the most probable sites and metal types. This hierarchical strategy enables robust and accurate metal prediction for cryo‐EM and AlphaFold‐derived ...
Gangeun Park, Chaok Seok, Hahnbeom Park
wiley +1 more source
Anharmonicity in Molecular Crystals: Generalized Perturbation Theory Meets Periodic Computations. [PDF]
Mitoli D +3 more
europepmc +1 more source

