Results 251 to 260 of about 68,766 (311)

Machine Learning‐Driven Prediction of Microplastic Aging Processes and Environmental Risk Assessment Across Multi‐Media Systems

Advanced Science, EarlyView.
This perspective proposes a cohesive machine learning strategy to decode microplastic aging. It advocates for Federated Learning to dismantle global data silos and introduces the TRACE framework (TRansport, Aging, Corona, Ecotoxicity). By integrating physics‐informed modeling with causal discovery, this approach bridges the laboratory‐field gap to ...
Yaping Lyu, Xinran Qiu, Xing Li, Tianhuan Yang, Xuetao Guo, Hao Qiu, Peng Zhang   +6 more
wiley   +1 more source

Iterative Reconstruction for Quantitative Tissue Decomposition in Dual-Energy CT [Elektronisk resurs]

, 2011
Muhammad, Arif,
core  

Iterative Reconstruction of Micro Computed Tomography Scans Using Multiple Heterogeneous GPUs. [PDF]

Sensors (Basel)
Chou WH, Wu CH, Jin SC, Chen JC.
europepmc   +1 more source

Stem Cell Differentiation Disperses Transcriptional Clusters via a Conserved Surface‐Condensate Trajectory

Advanced Science, EarlyView.
Stem cell differentiation follows a conserved surface condensate trajectory: H3K27ac super enhancers nucleate large RNA polymerase II clusters that grow and unfold before transcriptional activity disperses them. This work reveals how biophysical forces at enhancer surfaces dynamically build and dismantle stem cell transcription hubs, reshaping cell ...
Tim Klingberg, Irina Wachter, Agnieszka Pancholi, Matthias Akyel, Yomna Gohar, Priya Kumar, Ana Miguel Fernandes, Yuzhi Bao, Alica Schmidt‐Heydt, Marcel Piepers, Alicia Günthel, Marcel Sobucki, Elisa Kämmer, Süheyla Eroğlu‐Kayıkçı, Stephan Allgeier, Sylvia Erhardt, Vasily Zaburdaev, Carmelo Ferrai, Lennart Hilbert   +18 more
wiley   +1 more source

Ultra-low-dose chest computed tomography with model-based iterative reconstruction in the analysis of solid pulmonary nodules: A prospective study. [PDF]

World J Radiol
O'Regan PW, Harold-Barry A, O'Mahony AT, Crowley C, Joyce S, Moore N, O'Connor OJ, Henry MT, Ryan DJ, Maher MM.   +9 more
europepmc   +1 more source

De Novo Design of Membrane‐Targeting Antimicrobial Peptides Against Gram‐Negative Bacteria Using a Generative Artificial Intelligence Framework

Advanced Science, EarlyView.
Antimicrobial resistance caused by Gram‐negative bacteria remains difficult to overcome due to the protective outer membrane. To address this challenge, a multi‐condition constrained generative AI framework, GenMTAMP is proposed for de novo membrane‐targeting antimicrobial peptide design by integrating physicochemical and spatial structure descriptors.
Jingxiao Yu, Da‐Wen Sun, QingYi Wei, Yibing Zhang, Jidong Tang, Hongbin Pu   +5 more
wiley   +1 more source

Comparison of different iterative reconstruction algorithms with contrast-enhancement boost technique on the image quality of CT pulmonary angiography for obese patients. [PDF]

BMC Med Imaging
Ye M, Wang L, Xing Y, Li Y, Zhao Z, Xu M, Liu W.   +6 more
europepmc   +1 more source

Accurately Deciphering Tissue Heterogeneity From Spatial Multi‐Modal and Multi‐Omics With STransformer

Advanced Science, EarlyView.
STransformer is a unified deep learning framework designed to seamlessly accommodate a comprehensive landscape of spatial data. By simultaneously capturing short‐range cellular interactions and tissue‐wide semantic patterns, it extracts robust representations to accurately dissect complex tissue heterogeneity.
Xingyi Li, Jialuo Xu, Gaoyuan Du, Xiangting Jia, Dongmin Zhao, Chunyan Zhou, Kexin Xiao, Jia Gu, Junnan Zhu, Xuequn Shang   +9 more
wiley   +1 more source

Utility of under-sampled scans with iterative reconstruction and high-frequency preserving transform for high spatial resolution magnetic resonance cholangiopancreatography. [PDF]

Jpn J Radiol
Kondo S, Nakamura Y, Higaki T, Nishihara T, Takizawa M, Shirai T, Fujimori M, Bito Y, Narita K, Fonseca D, Maeda S, Kawashita I, Honda Y, Awai K.   +13 more
europepmc   +1 more source

Junction Physics and Architectural Paradigms in Optoelectronic Semiconductor Fibers

Advanced Science, EarlyView.
Optoelectronic fibers are emerging as a key platform for distributed sensing, energy harvesting, and optical communication in deformable systems. Their performance is fundamentally governed by junction formation under confined, dynamic processing conditions.
Hailiang Wang, Wenshu Ouyang, Yuhang Xiao, Wei Yan, Meifang Zhu   +4 more
wiley   +1 more source