Results 101 to 110 of about 7,721,766 (241)

Causal Brain Network Alterations Across Disease Stages in Herpes Zoster and Postherpetic Neuralgia

Journal of Pain Research
Wanqing Zou,1– 3,* Zihan Li,4,* Lili Gu,5 Xiaofeng Jiang,1– 3 Jiaxin Xiong,1– 3 Suhong Qin,1– 3 Jing Lu,1– 3 Jian Jiang1– 3 1Jiangxi Provincial Key Laboratory for Precision Pathology and Intelligent Diagnosis, Department of Radiology, the
Zou W, Li Z, Gu L, Jiang X, Xiong J, Qin S, Lu J, Jiang J   +7 more
doaj  

Structural parameters under partial least squares and covariance-based structural equation modeling : a comment on Yuan and Deng (2021)

, 2023
In their article, Yuan and Deng argue that a structural parameter under partial least squares structural equation modeling (PLS-SEM) is zero if and only if the same structural parameter is zero under covariance-based structural equation modeling (CB-SEM).
Henseler, Jorg, Kline, Rex B., Rosseel, YvesPP018010009749090000-0002-4129-4477F4D626CE-F0ED-11E1-A9DE-61C894A0A6B4, Trinchera, Laura, Schuberth, Florian, Ronkko, Mikko   +5 more
core  

Protection Motivation Theory and Farmers' Participation in Futures Markets: Evidence From Germany

Agribusiness, EarlyView.
ABSTRACT This study examines why German farmers show limited adoption of commodity futures contracts despite substantial price volatility, applying Protection Motivation Theory (PMT) to understand the cognitive processes driving participation decisions in futures markets. Survey data from 303 German farmers collected in 2024 were analyzed using Partial
Hendrik Wever, Marius Michels, Oliver Musshoff   +2 more
wiley   +1 more source

Covariance-based test statistics.

, 2018
Covariance-based test statistics.
Carolina Fortuna (5439512), Tomaž Šolc (5439515), Mihael Mohorčič (5439518)   +2 more
core   +1 more source

Real‐Time Multicolor Fluorescence Microscopy via Cross‐Channel Acquisition and Deep‐Learning‐Based Inference

Advanced Intelligent Discovery, EarlyView.
Sequential multicolor fluorescence imaging in dynamic microsystems is constrained by acquisition speed and excitation dose. This study introduces a real‐time framework to reconstruct spectrally separated channels from reduced cross‐channel acquisitions (frames containing mixed spectral contributions).
Juan J. Huaroto, Yuxin Jin, Nicholas Roy, Sarthak Misra   +3 more
wiley   +1 more source

AI‐BioMech: Deep Learning Prediction of Mechanical Behavior in Aperiodic Biological Cellular Materials

Advanced Intelligent Discovery, EarlyView.
AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia, Marcelo A. Dias, Parvez Alam   +2 more
wiley   +1 more source

Network Level Structural Covariance in Individuals at Ultra-High Risk (UHR) for Psychosis

, 2013
Network Level Structural Covariance in Individuals at Ultra-High Risk (UHR) for ...
Kareen Heinze (13744306), Ben Harrison (3330927), Ashleigh Lin (2622058), Renate LEP Reniers (15821639), Stephen J Wood (6611390), Barnaby Nelson (6718064), Alison Yung (13100928)   +6 more
core  

A Critical Assessment of Bonding Descriptors for Predicting Materials Properties

Advanced Intelligent Discovery, EarlyView.
The impact of new bonding descriptors in machine learning models for predicting material properties is assessed. Improvements are validated using significance tests, and new, intuitive descriptors for screening lattice thermal conductivity and projected force constants are introduced.
Aakash Ashok Naik, Nidal Dhamrait, Katharina Ueltzen, Christina Ertural, Philipp Benner, Gian‐Marco Rignanese, Janine George   +6 more
wiley   +1 more source

A Comprehensive Comparative Study of Active Learning Schemes for Nanophotonics Design

Advanced Intelligent Discovery, EarlyView.
Active learning (AL) strategies are benchmarked for the binary design of planar multilayer nanophotonic structures. Factorization machines combined with quantum annealing (QA) become effective as dimensionality increases. Hybrid QA provides the strongest results for 100‐layer problems, highlighting the importance of optimization method selection in ...
Serang Jung, Seongmin Kim, Jaehyun Park, Chaeyoung Park, Zhihao Xu, Sanghyo Hwang, Baiqing Ye, Youn sang Kim, Sun‐Kyung Kim, Tengfei Luo, Eungkyu Lee   +10 more
wiley   +1 more source

Distinct neural mechanisms underlying cognitive difficulties in preterm children born at different stages of prematurity

NeuroImage: Clinical
Objectives: To examine associations between low cognitive-performance and regional-and network-level brain changes at ages 9–10 in very-preterm, moderately-preterm, and full-term children, and explore whether these alterations predict ASD/ADHD symptoms ...
Samson Nivins, Nelly Padilla, Hedvig Kvanta, Gustaf Mårtensson, Ulrika Ådén   +4 more
doaj   +1 more source