Results 141 to 150 of about 495,115 (315)

Estimation and construction of confidence intervals for biomarker cutoff-points under the shortest Euclidean distance from the ROC surface to the perfection corner. [PDF]

Stat Med, 2021
Mosier BR, Bantis LE.
europepmc   +1 more source

Finding Euclidean Distance to a Convex Cone Generated by a Large Number of Discrete Points [PDF]

, 2017
Ali Fattahi, Sriram Dasu, Reza Ahmadi
openalex   +1 more source

DualPG‐DTA: A Large Language Model‐Powered Graph Neural Network Framework for Enhanced Drug‐Target Affinity Prediction and Discovery of Novel CDK9 Inhibitors Exhibiting in Vivo Anti‐Leukemia Activity

Advanced Science, EarlyView.
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, Jindi Huang, Cong Liu, Shipeng Zhang, Xinze Li, Zhang Zhang, Tie‐Gen Chen, Ling Wang   +7 more
wiley   +1 more source

Variational mode decomposition denoising combined with the Euclidean distance for diesel engine vibration signal [PDF]

, 2018
Gang Ren, Jide Jia, Jianmin Mei, Xiangyu Jia, Jiajia Han   +4 more
openalex   +1 more source

Comment on “De Novo Reconstruction of 3D Human Facial Images from DNA Sequence”

Advanced Science, EarlyView.
This comment examines AI‐driven DNA‐based facial reconstruction, focusing on the Difface model. While such technologies promise biomedical and forensic applications, they pose significant ethical, legal, and methodological challenges. We emphasize transparency, benchmarking, and rigorous validation to avoid misinterpretation and misuse.
Jennifer K. Wagner, Nina Claessens, Caitlin M. Maloney, Peter Claes   +3 more
wiley   +1 more source

Learned Conformational Space and Pharmacophore Into Molecular Foundational Model

Advanced Science, EarlyView.
The Ouroboros model introduces two orthogonal modules within a unified framework that independently learn molecular representations and generate chemical structures. This design enables flexible optimization strategies for each module and faithful structure reconstruction without prompts or noise.
Lin Wang, Yifan Wu, Hao Luo, Minglong Liang, Yihang Zhou, Cheng Chen, Chris Liu, Jun Zhang, Yang Zhang   +8 more
wiley   +1 more source

Accelerating Euclidean Distance Transforms: A Fast and Flexible Approach With Multi-Vendor GPU, Multi-Threading, and Multi-Language Support

IEEE Access
Euclidean distance transforms are fundamental in image processing and computer vision, with critical applications in medical image analysis and computer graphics.
Dale Black, Wenbo Li, Qiyu Zhang, Sabee Molloi   +3 more
doaj   +1 more source

Faster Binary Embeddings for Preserving Euclidean Distances [PDF]

, 2020
Jinjie Zhang, Rayan Saab
openalex   +1 more source

Loss of SOCS1 in Donor T Cells Exacerbates Intestinal GVHD by Driving a Chemokine‐Dependent Pro‐Inflammatory Immune Microenvironment

Advanced Science, EarlyView.
T cell‐specific Socs1 knockout leads to inflammatory differentiation of CD8+ T cells, prompting the STAT1/2 complex to drive the activation of Ccl5, Ccr5, and Cxcr3, and promoting the skewing of monocytes toward a pro‐inflammatory M1 macrophage lineage.
Zhigui Wu, Bixia Wang, Xinya Jiang, Fangqing Zhang, Qianqian Huang, Xinyi Wu, Shuang Fan, Qi Zhang, Jingrui Zhou, Jianing Tang, Xiao‐Dong Mo, Yu Wang, Ying‐Jun Chang, Huidong Guo, Xiao‐Jun Huang   +14 more
wiley   +1 more source

Constructions of maximum few-distance sets in euclidean spaces

, 2020
Ferenc Szöllősi, Patric R. J. Östergård   +1 more
openalex   +2 more sources