Results 171 to 180 of about 95,575 (341)
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
Fixed Point Theorem for Fuzzy Mappings in Generalized R Fuzzy Metric Spaces
Syed ShahnawazAli +3 more
openalex +1 more source
Proinov-Type Fixed-Point Results in Non-Archimedean Fuzzy Metric Spaces [PDF]
Antonio Francisco Roldán López de Hierro +3 more
openalex +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
Common fixed point theorems for hybrid pairs of maps in fuzzy metric spaces
M.A. Ahmed, H.A. Nafadi
openalex +1 more source
The Fuzzy Interpolative Berinde Weak Mapping Theorem in Metric Space
Clement Boateng Ampadu
openalex +2 more sources
Fixed point theorems in fuzzy metric spaces for mappings with Bγ,µ condition
Nilakshi Goswami, Bijoy Patir
openalex +2 more sources
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
Rational Fuzzy Cone Contractions on Fuzzy Cone Metric Spaces with an Application to Fredholm Integral Equations [PDF]
Saif Ur Rehman, Hassen Aydi
openalex +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

