Feasibility Study of Triple-low CCTA for Coronary Artery Disease Screening Combining Contrast Enhancement Boost and Deep Learning Reconstruction. [PDF]
Wu Z+7 more
europepmc +1 more source
Effects of dynamic agrivoltaic semitransparency controls on cucumber seedling growth are assessed for this study using a micro‐cell photovoltaic panel. Seedling growth with 9:30–14:30 agrivoltaic shading is comparable to that without shading. The dynamic shading regulates the electrical energy and crop production allocation.
Akira Yano, Zhi Li
wiley +1 more source
An integrated data pipeline for semantic data representation of the flame spray pyrolysis process. [PDF]
Vollbrecht M+5 more
europepmc +1 more source
Three charge assignment approaches (one quantum chemistry method‐based, the other two machine‐learning (ML) model‐based) are employed to investigate acetylene separation performances of experimental covalent‐organic frameworks. Partial Atomic Charge Predicter for Porous Materials based on Graph Convolutional Neural Network (PACMAN) ML model‐based ...
Hakan Demir, Ilknur Erucar
wiley +1 more source
Effectiveness of Activated Charcoal Toothpaste vs. 6% Hydrogen Peroxide Whitening Pen-An In Vitro Study. [PDF]
Bardellini E+5 more
europepmc +1 more source
Cancer cell‐intrinsic SMYD3 orchestrates an immunosuppressive microenvironment and impairs the response to PD‐1 blockade by reprogramming immune cells landscape in the tumor microenvironment of clear cell renal cell carcinoma (ccRCC). The immunomodulatory function of SMYD3 is mediated via the SREBP1/CD47 pathway.
Zhengfang Liu+14 more
wiley +1 more source
Differential benefit of adjuvant everolimus according to endocrine therapy backbone in the randomized UNIRAD trial. [PDF]
Saint-Ghislain M+20 more
europepmc +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
Improved image quality and diagnostic performance of coronary computed tomography angiography-derived fractional flow reserve with super-resolution deep learning reconstruction. [PDF]
Zou LM+6 more
europepmc +1 more source