Results 201 to 210 of about 4,485 (249)

Laplacian Energy of Graphs

open access: yesپژوهش‌های ریاضی, 2020
hamideh Aram   +2 more
doaj  

Development of a Risk Prediction Model for Bone Metastasis in Lung Adenocarcinoma With a T1 Primary Tumor Based on Intratumoral and Peritumoral Radiomics

open access: yesCancer Medicine, Volume 15, Issue 6, June 2026.
ABSTRACT Purpose Bone metastasis significantly affects the prognosis of lung adenocarcinoma (LUAD) patients. This study aims to construct and validate a risk prediction model for bone metastasis in LUAD with a T1 primary tumor based on intratumoral and peritumoral radiomics features.
Ting Li   +4 more
wiley   +1 more source

Identification of Major Depressive Disorder Using Multiple Functional Connection Patterns

open access: yesCNS Neuroscience &Therapeutics, Volume 32, Issue 6, June 2026.
We propose a Multiple Functional Connection Pattern Graph Convolutional Network (MFCP) for major depressive disorder identification using resting‐state fMRI. By integrating Pearson correlation, sparse representation, and Granger causality–based brain networks, MFCP captures complementary connectivity information.
Yudi Ruan   +6 more
wiley   +1 more source

e-Adjacency matrix and e-Laplacian matrix of semigraph

open access: yesJournal of Mathematical and Computational Science, 2020
openaire   +1 more source

Optimizing the Collaborative Supply Scheduling of Renewable Energy in the Tourism Industry Chain Using Graph Neural Networks

open access: yesEngineering Reports, Volume 8, Issue 6, June 2026.
Typical configuration of Huangshan Scenic Area. ABSTRACT To cope with the supply and demand imbalance challenge caused by the surge in energy demand in tourism‐intensive areas and the high volatility of renewable energy, this paper aims to construct a collaborative scheduling optimization model based on graph neural networks (GNNs). The model abstracts
Lixia Wang
wiley   +1 more source

Multiple Scattering Suppression in Heterogeneous Media: High‐Precision Imaging of Sleeve Grouting Defects Based on Elastic Reverse Time Migration

open access: yesEngineering Reports, Volume 8, Issue 6, June 2026.
This study proposes an elastic wave reverse time migration (RTM) method to suppress multiple scattering noise in heterogeneous concrete. By effectively utilizing scattered wavefields, RTM enables high‐precision, robust imaging of sleeve grouting defects in prefabricated buildings, significantly outperforming traditional algorithms.
Yong Lu, Li Tian, Sheng Yuan, Jing Zhang
wiley   +1 more source

Population Pharmacokinetics and Exposure‐Response Analyses for Ubrogepant Efficacy and Safety in the Acute Treatment of Migraine: Analysis of Phase 1–3 Studies

open access: yesThe Journal of Clinical Pharmacology, Volume 66, Issue 6, June 2026.
Abstract A population pharmacokinetic (popPK) model was developed for ubrogepant using data from 10 Phase 1, 1 Phase 2, and 2 Phase 3 studies. The data were described by a 2‐compartment model with linear elimination and transit compartment absorption. Formulation, food intake, race, gender, and hepatic impairment had a statistically significant impact ...
Sven Stodtmann   +3 more
wiley   +1 more source

Progress in Natural Products Target Discovery Technology

open access: yesMedComm, Volume 7, Issue 6, June 2026.
Here, we provide a comprehensive overview of current technologies and recent advancements in therapeutic target discovery for natural products. By systematically synthesizing the principles, methodologies, and practical applications of existing experimental and computational strategies, this work provides a more actionable reference framework for ...
Qiyuan Pan   +7 more
wiley   +1 more source

Effects and Correction of Patient Bulk Motion in Cranial DENSE MRI

open access: yesMagnetic Resonance in Medicine, Volume 95, Issue 6, Page 3145-3160, June 2026.
ABSTRACT Purpose Applications of DENSE to measure cardiac driven brain tissue pulsations are highly sensitive to bulk patient motion due to the sub‐millimeter displacement encoding required, limiting its accuracy, reproducibility, and use in pediatric and aging populations.
Caroline A. Doctor   +4 more
wiley   +1 more source

Input Layer Regularization and Automated Regularization Hyperparameter Tuning for Myelin Water Estimation Using Deep Learning

open access: yesNMR in Biomedicine, Volume 39, Issue 6, June 2026.
We propose a novel deep learning algorithm for predicting the myelin water fraction from multiple gradient‐echo or spin‐echo pulse sequences arising in magnetic resonance relaxometry (MRR) measurements of the human brain. Our method incorporates both regularized nonlinear least squares and pure deep learning through a concatenation paradigm known as ...
Mirage Modi   +7 more
wiley   +1 more source

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