Results 241 to 250 of about 1,359,102 (327)

The Influence of Outdoor Advertisement on the Color Harmony and Image of Townscape

open access: bronze, 1993
Takekazu Koyanagi   +3 more
openalex   +2 more sources

Label‐Free Molecular Characterization of Protein Aggregates in Differentiated Astrocytes

open access: yesAdvanced Science, EarlyView.
Mid‐infrared photothermal microscopy enables label‐free structural, molecular, and functional imaging of protein aggregates in astrocyte cells. The processes of astrocytes differentiated on a nanomaterial interface are characterized by α‐helical signatures combined with enhanced interfacial thermal resistance properties, while the cell soma of non ...
Panagis D. Samolis   +9 more
wiley   +1 more source

Reference‐Guided Chromosome‐by‐Chromosome de novo Assembly at Scale Using Low‐Coverage High‐Fidelity Long‐Reads with HiFiCCL

open access: yesAdvanced Science, EarlyView.
HiFiCCL, as the first assembly framework specifically designed for low‐coverage high‐fidelity reads, improves the assembly quality of existing assemblers and also enhances downstream applications such as large structural variant (SV) detection (>10 000 bp), synteny analysis, pangenome graph construction, and graph‐based individual‐specific germline SVs
Zhongjun Jiang   +9 more
wiley   +1 more source

Mendelian Randomization and Double Machine Learning Modeling Reveal Brain Imaging‐Derived Phenotypes as Functional Contributors to 18 Autoimmune Inflammatory Diseases

open access: yesAdvanced Science, EarlyView.
This schematic integrates the eight statistically significant causal relationships identified between 1,366 brain imaging‐derived phenotypes (IDPs) and 18 autoimmune inflammatory diseases (AIDs). Arrows indicate the direction of causality inferred from bidirectional two‐sample MR analyses.
Jinbin Chen   +8 more
wiley   +1 more source

Pathomics Signature for Prognosis and CA19‐9 Interception in Pancreatic Ductal Adenocarcinoma: A Real‐Life, Multi‐Center Study

open access: yesAdvanced Science, EarlyView.
This study develops a deep learning‐based pathomics model to predict survival outcomes in pancreatic cancer patients. The CrossFormer architecture analyzes routine H&E‐stained tissue slides, identifying key prognostic features including stromal patterns, cellular characteristics, and immune infiltration.
Qiangda Chen   +22 more
wiley   +1 more source

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