Results 111 to 120 of about 77,938 (282)
Fuzzy entropy means the measurement of fuzziness in a fuzzy set and therefore plays a vital role in solving the fuzzy multicriteria decision making (MCDM) and multicriteria group decision making (MCGDM) problems.
Tabasam Rashid +2 more
doaj +1 more source
Continual Learning for Multimodal Data Fusion of a Soft Gripper
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source
Holographic Space-time, Newton's Law and the Dynamics of Black Holes
We revisit the construction of models of quantum gravity in d dimensional Minkowski space in terms of random tensor models, and correct some mistakes in our previous treatment of the subject.
Banks, Tom, Fischler, Willy
core
This study uncovers a new allosteric site in the Josephin domain of ataxin‐3 targeted by the molecular tweezer CLR01, which modulates protein aggregation, improves synaptic function in neuronal cells, and delays motor dysfunction in animal models.
Alexandra Silva +28 more
wiley +1 more source
RFFE - Random Forest Fuzzy Entropy for the classification of Diabetes Mellitus. [PDF]
Usha Ruby A +4 more
europepmc +1 more source
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
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

