Defeng Wang
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View article: Integrated transcriptomic analysis unveils molecular mechanisms regulating meat quality in newly improved black goat breeds
Integrated transcriptomic analysis unveils molecular mechanisms regulating meat quality in newly improved black goat breeds Open
This study aimed to integrate transcriptomes to reveal the regulatory molecular mechanisms of meat quality in different black goat breeds. A comparison of Guizhou Black Goats (GBG♂, n = 7), Black Nubian Goats (NBG♂, n = 7), and their F1 hy…
View article: Enhancing unsupervised learning in medical image registration through scale-aware context aggregation
Enhancing unsupervised learning in medical image registration through scale-aware context aggregation Open
Deformable image registration (DIR) is essential for medical image analysis, facilitating the establishment of dense correspondences between images to analyze complex deformations. Traditional registration algorithms often require signific…
View article: Soybean oil and probiotics improve meat quality, conjugated linoleic acid concentration, and nutritional quality indicators of goats
Soybean oil and probiotics improve meat quality, conjugated linoleic acid concentration, and nutritional quality indicators of goats Open
This study aimed to investigate the impact of dietary soybean oil and probiotics on goat meat quality, total conjugated linoleic acids (TCLA) concentration, and nutritional quality indicators of goats. Thirty‐six male crossbred goats (Angl…
View article: Impact of Lactobacillus johnsonii on Metabolic Control in Type 2 Diabetes with Circadian Disruption
Impact of Lactobacillus johnsonii on Metabolic Control in Type 2 Diabetes with Circadian Disruption Open
Objective: In clinical practice, we have observed that most patients with type 2 diabetes mellitus (T2DM) and circadian rhythm disruption have poor blood glucose control. However, there is a subset of patients with T2DM and circadian rhyth…
View article: nnSegNeXt: A 3D Convolutional Network for Brain Tissue Segmentation Based on Quality Evaluation
nnSegNeXt: A 3D Convolutional Network for Brain Tissue Segmentation Based on Quality Evaluation Open
Accurate and automated segmentation of brain tissue images can significantly streamline clinical diagnosis and analysis. Manual delineation needs improvement due to its laborious and repetitive nature, while automated techniques encounter …
View article: Effects of Flammulina velutipes mushroom residues on growth performance, apparent digestibility, serum biochemical indicators, rumen fermentation and microbial of Guizhou black goat
Effects of Flammulina velutipes mushroom residues on growth performance, apparent digestibility, serum biochemical indicators, rumen fermentation and microbial of Guizhou black goat Open
Introduction The primary objective of the current study was to evaluate the effects of Flammulina velutipes mushroom residue (FVMR) in a fermented total mixed ration (FTMR) diet on the fattening effect and rumen microorganisms in Guizhou b…
View article: An empirical study on the reading response to picture books of children aged 5–6
An empirical study on the reading response to picture books of children aged 5–6 Open
Picture book reading has drawn a great deal of attention, while the reading response to children’s book has barely been noticed. This study therefore used the lag sequence analysis method to conduct an empirical study on the reading reacti…
View article: Effect of Mulberry Leaf TMR on Growth Performance, Meat Quality and Expression of Meat Quality Master Genes (ADSL, H-FABP) in Crossbred Black Goats
Effect of Mulberry Leaf TMR on Growth Performance, Meat Quality and Expression of Meat Quality Master Genes (ADSL, H-FABP) in Crossbred Black Goats Open
This study was conducted to examine the effect of a mulberry leaf total mixed ration (TMR) diet on growth performance, apparent digestibility, meat quality and the expression of related meat-quality genes (ADSL, H-FABP) in crossbred black …
View article: Clinical and radiomic features for predicting the treatment response of repetitive transcranial magnetic stimulation in major neurocognitive disorder: Results from a randomized controlled trial
Clinical and radiomic features for predicting the treatment response of repetitive transcranial magnetic stimulation in major neurocognitive disorder: Results from a randomized controlled trial Open
Image‐guided repetitive transcranial magnetic stimulation (rTMS) has shown clinical effectiveness in senior adults with co‐occurring depression and cognitive impairment, yet the imaging markers for predicting the treatment response are les…
View article: Corrigendum: Comparison of Newtonian and Non-newtonian Fluid Models in Blood Flow Simulation in Patients With Intracranial Arterial Stenosis
Corrigendum: Comparison of Newtonian and Non-newtonian Fluid Models in Blood Flow Simulation in Patients With Intracranial Arterial Stenosis Open
[This corrects the article DOI: 10.3389/fphys.2021.718540.].
View article: Comparison of Newtonian and Non-newtonian Fluid Models in Blood Flow Simulation in Patients With Intracranial Arterial Stenosis
Comparison of Newtonian and Non-newtonian Fluid Models in Blood Flow Simulation in Patients With Intracranial Arterial Stenosis Open
Background Newtonian fluid model has been commonly applied in simulating cerebral blood flow in intracranial atherosclerotic stenosis (ICAS) cases using computational fluid dynamics (CFD) modeling, while blood is a shear-thinning non-Newto…
View article: A Running Pattern Recognition Algorithm for Publish/Subscribe Distributed Systems
A Running Pattern Recognition Algorithm for Publish/Subscribe Distributed Systems Open
Publish/subscribe distributed systems are often used in critical applications. It is necessary to monitor their running patterns in real time to detect abnormal status. Therefore, identifying the normal running pattern is the precondition …
View article: A Fuzzy Clustering Based Anomaly Node Detection Method for Publish/Subscribe Distributed Systems
A Fuzzy Clustering Based Anomaly Node Detection Method for Publish/Subscribe Distributed Systems Open
Timely and accurate understanding of the node running status can effectively control the propagation of faults in publish/subscribe distributed systems, which is of great significance to ensure the reliable operation of applications. A met…
View article: Big Data Processing and Intelligent Analysis System for Students’ Learning State Based on PaddlePaddle
Big Data Processing and Intelligent Analysis System for Students’ Learning State Based on PaddlePaddle Open
This paper studies the construction idea, method and process of an intelligent learning state analysis system on the background of big data acquisition and processing. Based on the software and hardware of Baidu PaddlePaddle, the intellige…
View article: High-Frequency Neuronavigated Repetitive Transcranial Magnetic Stimulation for Depression in Major Neurocognitive Disorders: A Randomized Controlled Trial
High-Frequency Neuronavigated Repetitive Transcranial Magnetic Stimulation for Depression in Major Neurocognitive Disorders: A Randomized Controlled Trial Open
Background : We evaluated the safety and efficacy of high-frequency repetitive transcranial magnetic stimulation (HF-rTMS) in major neurocognitive disorder (NCD) patients with depression. Methods: In this single blind, sham-controlled clin…
View article: Estimating hemodynamic risks of tandem stenoses in posterior cerebral circulation: a computational study
Estimating hemodynamic risks of tandem stenoses in posterior cerebral circulation: a computational study Open
Background: Tandem stenoses were widely observed in acute stroke cases. High pressure drop and low fractional flow (FF) indicate the risk of ischemia caused by intracranial atherosclerotic stenosis. Low wall shear stress (WSS) and high low…
View article: Fiber Connectivity Density in Cerebral Small-Vessel Disease Patients With Mild Cognitive Impairment and Cerebral Small-Vessel Disease Patients With Normal Cognition
Fiber Connectivity Density in Cerebral Small-Vessel Disease Patients With Mild Cognitive Impairment and Cerebral Small-Vessel Disease Patients With Normal Cognition Open
Abnormal structural connectivity of cerebral small-vessel disease (CSVD) is associated with cognitive impairment. But the different characteristics of structural connectivity have not been elucidated in early CSVD patients. The current stu…
View article: State-of-the-Art Computational Models of Circle of Willis With Physiological Applications: A Review
State-of-the-Art Computational Models of Circle of Willis With Physiological Applications: A Review Open
Background: Various computational models of the circle of Willis (CoW) have been developed to non-invasively estimate the blood flow and hemodynamic parameters in intracranial arteries for the assessment of clinical risks such as aneurysms…
View article: Application of 3D‐Printed Orthopedic Cast for the Treatment of Forearm Fractures: Finite Element Analysis and Comparative Clinical Assessment
Application of 3D‐Printed Orthopedic Cast for the Treatment of Forearm Fractures: Finite Element Analysis and Comparative Clinical Assessment Open
Objective . This pilot study is aimed at investigating the mechanical characteristics of a cast‐wrapped fractured forearm and performing a clinical comparative study of our own developed 3D‐printed orthopedic cast. Methods . An integrated …
View article: Mapping the patterns of cortical thickness in single- and multiple-domain amnestic mild cognitive impairment patients: a pilot study
Mapping the patterns of cortical thickness in single- and multiple-domain amnestic mild cognitive impairment patients: a pilot study Open
Amnestic mild cognitive impairment (aMCI) is considered as a transitional stage between the expected cognitive decline of normal aging and Alzheimer's disease (AD). Structural brain difference has shown the potential in cognitive related d…
View article: Intra-Scanner and Inter-Scanner Reproducibility of Automatic White Matter Hyperintensities Quantification
Intra-Scanner and Inter-Scanner Reproducibility of Automatic White Matter Hyperintensities Quantification Open
Objectives: To evaluate white matter hyperintensities (WMH) quantification reproducibility from multiple aspects of view and examine the effects of scan-rescan procedure, types of scanner, imaging protocols, scanner software upgrade, and a…
View article: Effect of acupotomy on chondrocyte proliferation and expression of CyclinD1, CDK4 and CDK6 in rabbits with knee osteoarthritis
Effect of acupotomy on chondrocyte proliferation and expression of CyclinD1, CDK4 and CDK6 in rabbits with knee osteoarthritis Open
Objective: The aim of this study was to investigate the mechanism of acupotomology (Apo) in the prevention of articular cartilage destruction via the promotion of chondrocyte proliferation and chondrocyte expression of cell cycle regulator…
View article: P2‐326: MRI‐BASED BRAIN VOLUMETRY IN SINGLE‐ AND MULTI‐DOMAIN AMNESTIC MILD COGNITIVE IMPAIRMENT AND ALZHEIMER'S DISEASE
P2‐326: MRI‐BASED BRAIN VOLUMETRY IN SINGLE‐ AND MULTI‐DOMAIN AMNESTIC MILD COGNITIVE IMPAIRMENT AND ALZHEIMER'S DISEASE Open
The whole-brain atrophy profiles in single- (aMCI-s) and multi- (aMCI-m) domain amnestic mild cognitive impairment (aMCI) remain unclear so far. It is of particular interest to test whether the volume of hippocampus and amygdala can be use…
View article: Neuroimaging endophenotypes of type 2 diabetes mellitus: a discordant sibling pair study
Neuroimaging endophenotypes of type 2 diabetes mellitus: a discordant sibling pair study Open
The shared brain regions with grey matter (GM) loss and CBF increases may serve as neuroimaging endophenotypes of T2DM, and the regions with abnormal CBF in siblings indicate an increased risk for T2DM.
View article: Feature-Based Deformable Registration Using Minimal Spanning Tree for Prostate MR Segmentation
Feature-Based Deformable Registration Using Minimal Spanning Tree for Prostate MR Segmentation Open
Automatic and accurate segmentation of the prostate is still a challenging task due to intensity inhomogeneity and complicated deformation of MR images. To tackle these problems with multi-atlas segmentation, in this paper, we propose a ne…
View article: Frequency‐specific age‐related decreased brain network diversity in cognitively healthy elderly: A whole‐brain data‐driven analysis
Frequency‐specific age‐related decreased brain network diversity in cognitively healthy elderly: A whole‐brain data‐driven analysis Open
Age‐related changes in functional brain network have been well documented. However, recent studies have suggested the nonstationary properties of the functional connectivity of the brain, and little is known about the changes of functional…