Results 151 to 160 of about 372,511 (339)
This review systematically examines the nanomechanical mechanisms of mussel‐inspired molecular interactions, primarily investigated by direct force measurement techniques such as surface forces apparatus and atomic force microscopy. The macroscopic adhesive and self‐healing performances of mussel‐inspired functional materials, including coacervates ...
Pan Huang, Hongjian Zhang, Hongbo Zeng
wiley +1 more source
Contemporary electronic devices produce significant waste, harming ecosystems. Innovation in design, consumption, materials, and end‐of‐life management is crucial. This review explores advanced materials for sustainable and responsible electronics, highlighting their potential to reduce environmental and health hazards while improving device ...
Rawan Omar +7 more
wiley +1 more source
This paper introduces GraphTrace, a novel retrieval framework that integrates a domain-specific knowledge graph (KG) with a large language model (LLM) to improve information retrieval for complex, multi-hop queries.
Anna Osipjan +4 more
doaj +1 more source
Impact of System‐Model Mismatch in Fourier Ptychographic Microscopy
This study investigates the robustness of Fourier ptychography microscope (FPM) reconstruction algorithms across various scenarios, each representing challenges encountered in practical FPM experiments, and deduces the extent to which FPM can provide diffraction‐limited resolution under the influence of various sources of error.
Tuo Yin +4 more
wiley +1 more source
Techniques and Advances in Ultrafast Photography
This review maps the fast‐growing field of ultrafast photography from early mechanical cameras to modern optical‐computational methods. It organizes techniques into four families (multishot passive/active; single‐shot passive/active), explains how they reach trillion‐frame‐per‐second speeds, compares capabilities and tradeoffs, and highlights ...
Chen Huang +10 more
wiley +1 more source
CRCFound: A Colorectal Cancer CT Image Foundation Model Based on Self‐Supervised Learning
CRCFound is a self‐supervised learning‐based CT image foundation model for colorectal cancer (CRC). Pretrained on 5137 unlabeled CRC CT images, it learns universal feature representations, enabling efficient adaptation to various clinical tasks. The model demonstrates outstanding performance and generalization across multiple diagnostic and prognosis ...
Jing Yang +13 more
wiley +1 more source
CONTENT AND USER CLICK BASED PAGE RANKING FOR IMPROVED WEB INFORMATION RETRIEVAL [PDF]
Dhiliphan Rajkumar.T +2 more
openalex +1 more source
This study has characterized a functionally distinct macrophage subset, termed CCL5hi macrophages, and elucidated the underlying mechanisms of a regulatory feedback loop that interconnects IFN‐γ, CCL5hi macrophages, and CD8+ T cells within the TME of ESCC undergoing immunochemotherapy.
Yuanzhen Ma +10 more
wiley +1 more source
Elevated spliced form of X‐box–binding protein 1 (XBP1) correlates with unfavorable responses to endocrine therapy plus CDK4/6 inhibitors in HR+/HER2− advanced breast cancer. XBP1s facilitates cell proliferation and G1/S transition by transcriptionally activating SND1, thereby activating the E2F1 pathway.
Yuting Sang +11 more
wiley +1 more source

