Results 111 to 120 of about 185,559 (298)
Nanoscale Mapping of the Subcellular Glycosylation Landscape
Using multiplexed super‐resolution imaging with fluorophore‐labeled lectins, this study reports intracellular glycosylation at the nanoscale across organelles and synaptic specializations. Extending glycan analysis beyond the cell surface, Glyco‐STORM reveals distinct glycosylation nanodomains in the ER, Golgi, lysosomes, and synaptic sites.
Helene Gregoria Schroeter +4 more
wiley +1 more source
A predictive model for 3D printability is developed by integrating rheological analysis, including the Large Amplitude Oscillatory Shear (LAOS) test, with machine learning. With prediction errors under 10%, the model shows that post‐extrusion recovery controls horizontal printability, while high‐strain‐rate nozzle flow dictates vertical printability ...
Eun Hui Jeong +7 more
wiley +1 more source
CellPolaris decodes how transcription factors guide cell fate by building gene regulatory networks from transcriptomic data using transfer learning. It generates tissue‐ and cell‐type‐specific networks, identifies master regulators in cell state transitions, and simulates TF perturbations in developmental processes.
Guihai Feng +27 more
wiley +1 more source
Mature red blood cells (RBCs) can capture extracellular DNA, with short fragments homologous to cfDNA. This uptake is mediated by apoptotic bodies, which induce RBC oxidative stress, deformation, and accelerated in vivo clearance. The rbcDNA abundance correlates with tumor burden and therapeutic response, highlighting its potential as a liquid biopsy ...
Zihang Zeng +20 more
wiley +1 more source
Fuzzy comprehensive evaluation model of interuniversity collaborative learning based on network
Learning evaluation is an effective method, which plays an important role in the network education evaluation system. But most of the current network learning evaluation methods still use traditional university education evaluation system, which do not ...
Wenhui Ma, Yu Wang
doaj +1 more source
vEMINR is an ultra‐fast isotropic reconstruction method for vEM based on implicit neural representation, achieving over tenfold faster reconstruction and higher accuracy on 11 datasets, showing strong potential for large‐scale vEM data processing.
Jibin Yang +7 more
wiley +1 more source
Hippocampal single ‐nucleus transcriptomes and chromatin accessibility after mild traumatic brain injury reveal dentate granule neuron vulnerability driven by ferroptosis. The c‐Jun–Tmsb4x–Slc2a2 axis modulates lipid peroxidation and iron dysregulation.
Manrui Li +13 more
wiley +1 more source
State Evaluation of Self-Powered Wireless Sensors Based on a Fuzzy Comprehensive Evaluation Model. [PDF]
Xiong S +6 more
europepmc +1 more source
Unpaired Learning‐Enabled Nanotube Identification from AFM Images
Identifying nanotubes on rough substrates is notoriously challenging for conventional image analysis. This work presents an unpaired deep learning approach that automatically extracts nanotube networks from atomic force microscopy images, even on complex polymeric surfaces used in roll‐to‐roll printing.
Soyoung Na +10 more
wiley +1 more source
Fuzzy comprehensive evaluation and quantitative weight analysis in structure management of human resources. [PDF]
Zhang H.
europepmc +1 more source

