Results 181 to 190 of about 12,548,785 (342)
Value of autopsy in the modern age: Discrepancy between clinical and autopsy diagnoses. [PDF]
Salzillo C +4 more
europepmc +1 more source
Oligonucleotide‐based fluorescence in situ hybridization probes were developed in the model citrus species Citrus maxima. These probes were applied to comparative karyotyping across 14 species in the Rutaceae family. This analysis revealed chromosomal evolution in lineages that diverged from Citrus nearly 52 million years ago.
Li He +9 more
wiley +1 more source
Understanding Nomophobia: A Modern Age Phobia Among College Students
Caglar Yildirim, A. Correia
semanticscholar +1 more source
Targeting Supramolecular Active Complexes of Nav1.7/Nav1.8 to Relieve Chronic Neuropathic Pain
In mice and patients with severe chronic neuropathic pain (NP), Nav1.7, Nav1.8, TrkB, and five cytoskeletal proteins form supramolecular active complexes (SMACs) with polygonal lattice structures as noxious signal amplifiers in dorsal root ganglion (DRG) neurons.
Liting Sun +27 more
wiley +1 more source
CTBPro is a next‐generation cholera toxin B–based tracer engineered by fusing CTB to the ultra‐stable fluorescent protein mBaojin. Exhibiting markedly enhanced molar brightness, CTBPro enables high‐fidelity neuronal labeling across multiple administration routes.
Xinghua Quan +12 more
wiley +1 more source
Modern Age Fortification of the Medieval City Walls of Volterra, Tuscany
The city of Volterra in Tuscany still preserves almost all its medieval walls, built from 1260 to 1266, which incorporated the south-eastern side of the oldest walls of the 4th-century BC. In 1472, following the definitive loss of the city's independence,
Toscani Caterina +1 more
core
Left Ventricular Reverse Remodeling after Successful Living Donor Kidney Transplantation: The Visualizing the Pathophysiology of Kidney Transplantation in Modern Age Study. [PDF]
Hidaka S +3 more
europepmc +1 more source
Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan +8 more
wiley +1 more source

