Results 241 to 250 of about 255,160 (310)
Predictive Registry Optimization of Molecular Adsorbates on Solid Surfaces
Local C–H “spikes” from a π‐conjugated backbone lock into graphene “pockets”. A geometric registry score turns images obtained by scanning tunneling microscopy at the solid/liquid interface into atomic‐scale adsorption models, enabling assignment of surface atropisomers in large π‐conjugated molecules.
David A. Hofmeister +7 more
wiley +2 more sources
ABSTRACT Background Chronic rhinosinusitis with nasal polyps (CRSwNP) is managed after sinus surgery with topical corticosteroids. Given limited distribution of nasal steroid sprays, patients have the option of either steroid nasal irrigation (SNI) or exhalation delivery system with fluticasone (EDS‐FLU).
Daniel Xiao +3 more
wiley +1 more source
In this review, we discuss how biomolecular condensates can inhibit amyloid aggregation in their interior, while still facilitating fibril formation at the interface between the dense and dilute phases, where molecular and mesoscale properties are likely optimal to promote protein aggregation.
Marcell Papp +3 more
wiley +2 more sources
Alzheimer's Disease Co‐Pathology and Cognitive Impairment in Amyotrophic Lateral Sclerosis
Objectives Amyotrophic lateral sclerosis (ALS) and Alzheimer's disease (AD) share neuropathological features, including tau, amyloid, and TDP‐43 pathology. This study investigated whether AD‐related pathological changes are associated with cognitive impairment ALS. Methods Cerebrospinal fluid (CSF total‐tau, phosphorylated‐tau, beta‐amyloid) and plasma
Elisabeth Kasper +29 more
wiley +1 more source
Epimer discrimination remains challenging due to subtle NMR differences. Here, we propose a methodology based on 13C‐RCSA and RDC anisotropic parameters, enabling the assignment of two flexible tetraprenyltoluquinol epimers (1a and 1b) with remote stereoclusters.
Juan Carlos C. Fuentes‐Monteverde +6 more
wiley +2 more sources
Erratum to “Monte Carlo and quasi-Monte Carlo methods”
openaire +1 more source
Design and validation of a deep learning GAN for predicting <sup>1</sup> <sup>7</sup> <sup>7</sup>Lu dose voxel kernels using GATE/GEANT4 Monte Carlo and IDAC-Dose 2.1 in phantom dosimetry. [PDF]
Kapis OE +3 more
europepmc +1 more source
Improving sampling efficacy on high-dimensional distributions with thin high-density regions using Conservative Hamiltonian Monte Carlo. [PDF]
McGregor G, Wan ATS.
europepmc +1 more source

