Results 81 to 90 of about 60,802 (187)

Topological Complexity Determines the Frequency of Branching Variations in the Celiac Trunk–Superior Mesenteric Artery System

open access: yesJournal of Hepato-Biliary-Pancreatic Sciences, EarlyView.
ABSTRACT Background Variations in the anatomical branching patterns of the celiac trunk and superior mesenteric artery (SMA) directly affect vascular identification, surgical planning, and risk of intraoperative vascular injury. However, despite the extensive classification of these variations, the principles governing the occurrence of certain ...
Satoru Muro   +2 more
wiley   +1 more source

Topological data analysis and topological deep learning beyond persistent homology: a review. [PDF]

open access: yesArtif Intell Rev
Su Z   +7 more
europepmc   +1 more source

Biochar‐Induced Shifts in Fungal Community Structure and Their Association With Soil Physical Properties in Degraded Soil From the Brazilian Semiarid

open access: yesLand Degradation &Development, EarlyView.
ABSTRACT Soil degradation compromises ecosystem functioning. Biochar, a carbon‐rich amendment, has gained attention as a promising strategy to enhance soil structure and restore microbial balance. This study investigated the effects of two biochars, cashew bagasse biochar (CBB) and a co‐pyrolyzed biochar produced from sewage sludge and cashew pruning ...
João Marcos Rodrigues dos Santos   +18 more
wiley   +1 more source

Breaking the Exponential: Decoherence‐Driven Power‐Law Spontaneous Emission in Waveguide Quantum Electrodynamics

open access: yesLaser &Photonics Reviews, EarlyView.
Introducing dynamical dephasing into the photon modes of a waveguide causes spontaneous emission to switch from conventional exponential decay to a robust power‐law behavior visible at short times. The power law arises from photon diffusion in a dynamically disordered environment, uncovering a previously unexplored, decoherence‐induced pathway to ...
Stefano Longhi
wiley   +1 more source

Structure‐Aware Machine Learning for Polymers: A Hierarchical Graph Network for Predicting Properties From Statistical Ensembles

open access: yesMacromolecular Rapid Communications, EarlyView.
This work presents a structure‐aware graph convolutional network that models polymers as statistical ensembles to predict macroscopic properties. By combining topologically realistic graphs generated via kinetic Monte Carlo simulations with explicit molar mass distributions, the framework achieves high accuracy in classifying architectures and ...
Julian Kimmig   +7 more
wiley   +1 more source

X‐ray magnetic circular dichroism

open access: yesMajor Reference Works, Page 508-515., 2022
International Tables for Crystallography is the definitive resource and reference work for crystallography and structural science.

Each of the eight volumes in the series contains articles and tables of data relevant to crystallographic research and to applications of crystallographic methods in all sciences concerned with the ...
Gerrit van der Laan C. Chantler   +2 more
wiley  

+1 more source

Macroscale Gradient‐Informed Neural Oscillation Topography in Parkinson's Disease

open access: yesMovement Disorders, EarlyView.
Abstract Background Parkinson's disease (PD) is characterized by large‐scale disruptions in beta and gamma oscillations. Although subcortical beta power is an established biomarker for current adaptive deep brain stimulation (aDBS), it may not fully capture the global pathophysiological burden and the macroscale hierarchical reorganization of the ...
Hao Ding   +8 more
wiley   +1 more source

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