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Article
A deep convolution neural network fusing of color feature and spatio-temporal feature for smoke detection
The spatial characteristics, movement characteristics and color characteristics of smoke are important features that distinguish them to other objects. In order to make full use of these three features, we pro...
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Article
Running exercise alleviates hippocampal neuroinflammation and shifts the balance of microglial M1/M2 polarization through adiponectin/AdipoR1 pathway activation in mice exposed to chronic unpredictable stress
Running exercise has been shown to alleviate depressive symptoms. However, the mechanism underlying the antidepressant effects of running exercise is not fully understood. The imbalance of M1/M2 microglia phen...
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Article
3D Human pose estimation from video via multi-scale multi-level spatial temporal features
In this paper, we present an innovative framework for 2D-to-3D human pose estimation from video, harnessing the power of multi-scale multi-level spatial-temporal features. Our framework comprises three integra...
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Open AccessContribution of genetic variants to congenital heart defects in both singleton and twin fetuses: a Chinese cohort study
The contribution of genetic variants to congenital heart defects (CHDs) has been investigated in many postnatal cohorts but described in few prenatal fetus cohorts. Overall, specific genetic variants especiall...
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Article
Open AccessIntertwin nuchal translucency difference predicts the chance of co-twin death after fetal reduction in dichorionic triplet pregnancies: a retrospective analysis study
To compare the clinical outcomes of different multifetal pregnancy reduction (MFPR) programs in dichorionic (DC) triplets, and explore the association between early ultrasound characteristics and co-twin death...
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A perception-enhancement network for accurate multi-person 2D pose estimation
To effectively solve the problems of human occlusion and motion blur in pose estimation algorithms, this paper proposes a bottom-up method for multi-person pose estimation based on human anchor joints and perc...
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Article
SA-GCN: structure-aware graph convolutional networks for crowd pose estimation
In this paper, we aim to capture the structure dependency of human joints and improve the localization accuracy of invisible joints. We propose a novel framework: Structure-aware Graph Convolutional Network (S...
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Open AccessCorrection to: Running exercise protects oligodendrocytes in the medial prefrontal cortex in chronic unpredictable stress rat model
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Open AccessCorrection: The positive effects of running exercise on hippocampal astrocytes in a rat model of depression
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TSNet : Tree structure network for human pose estimation
Multi-person pose estimation in natural scenes has been a hot topic in the recent years. The prediction speed of the top-down methods is affected by the number of people in the scene, so the bottom-up methods ...
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Article
SRFNet: selective receptive field network for human pose estimation
Human pose estimation is fundamental to many computer vision tasks and has made significant progress in recent years. However, the problem of unbalanced performance among joints has not been paid enough attent...
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Article
Open AccessExercise rather than fluoxetine promotes oligodendrocyte differentiation and myelination in the hippocampus in a male mouse model of depression
Although selective serotonin reuptake inhibitor (SSRI) systems have been meaningfully linked to the clinical phenomena of mood disorders, 15–35% of patients do not respond to multiple SSRI interventions or eve...
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Article
A donor-DNA-free CRISPR/Cas-based approach to gene knock-up in rice
Structural variations (SVs), such as inversion and duplication, contribute to important agronomic traits in crops1. Pan-genome studies revealed that SVs were a crucial and ubiquitous force driving genetic diversi...
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Article
Open AccessWhen a vesicular placenta meets a live fetus: case report of twin pregnancy with a partial hydatidiform mole
Hydatidiform moles exhibit a distinctive gross appearance of multiple vesicles in the placenta. The advances in cytogenetic technologies have helped uncover novel entities of hydatidiform moles and enabled ela...
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Open AccessBeneficial effects of running exercise on hippocampal microglia and neuroinflammation in chronic unpredictable stress-induced depression model rats
Running exercise has been shown to relieve symptoms of depression, but the mechanisms underlying the antidepressant effects are unclear. Microglia and concomitant dysregulated neuroinflammation play a pivotal ...
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Article
Programmed sequential cutting endows Cas9 versatile base substitution capability in plants
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Open AccessHippocampal PGC-1α-mediated positive effects on parvalbumin interneurons are required for the antidepressant effects of running exercise
Running exercise was shown to have a positive effect on depressive-like symptoms in many studies, but the underlying mechanism of running exercise in the treatment of depression has not been determined. Parval...
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Open AccessThe positive effects of running exercise on hippocampal astrocytes in a rat model of depression
Running exercise has been shown to alleviate depressive symptoms, but the mechanism of its antidepressant effect is still unclear. Astrocytes are the predominant cell type in the brain and perform key function...
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Article
Open AccessDistribution of maternal red cell antibodies and the risk of severe alloimmune haemolytic disease of the foetus in a Chinese population: a cohort study on prenatal management
Haemolytic disease of the foetus and newborn (HDFN) is the most common aetiology of haemolytic anaemia and hyperbilirubinaemia in foetuses and neonates. Studies on the distribution of antibodies that cause hae...
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Article
Long-term correlation tracking via spatial–temporal context
In this paper, we mainly deal with the problems of long-term visual tracking while the target objects undergo sophisticated scenarios such as occlusion, out-of-view, and scale changes. We employ two discrimina...