Ye Bi
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Articles by Ye Bi
Development and validation of an interpretable prediction model for high-grade vesicoureteral reflux in children with urinary tract infections
Abstract Objective: High-grade vesicoureteral reflux (VUR) is prone to causing adverse clinical outcomes such as kidney damage, recurrent urinary tract infections, and hypertension. Early identification of the risk of developing high-grade VUR in children with urinary tract infections is of great significance for reducing unnecessary voiding cystourethrography (VCUG), guiding clinical decisions, and optimizing antibiotic management strategies.
Do positive childhood experiences reduce children’s deviant behavior in physical education learning?—A longitudinal validation based on a latent variable growth model
Abstract In recent years, there has been a global decline in children’s interest in participating in physical education classes, a phenomenon that has garnered continuous attention in the fields of physical education and sports psychology yet lacks systematic micro-level exploration and analysis. This study employed a questionnaire survey to conduct three waves of longitudinal testing over 3 years with 284 Chinese children.
Glutamine promotes acute wound healing by mediating glutamine metabolism and M2 macrophage polarization via the MEK/ERK/SLC1A5 signaling pathway
Abstract To demonstrate glutamine (Gln) promotes acute wound healing by mediating Gln metabolism and macrophage M2 polarization through the Mitogen-Activated Protein Kinase Kinase (MEK)/Extracellular Regulated Protein Kinases (ERK)/Solute Carrier Family 1 Member 5 (SLC1A5) signaling axis.Thirty C57BL/6J mice were used to establish a full-thickness skin defect model and randomly divided into six groups (n = 5 per group): Control group, Model group, Gln treatment group (Gln), Gln combined with...
Machine learning model for predicting urinary tract infection risk in febrile children under 3 years of age
1 Introduction Urinary tract infection (UTI) is a common childhood infectious disease (1). The clinical presentation varies significantly according to age: older children (typically aged ≥3 years) tend to present with typical symptoms of urinary tract irritation, such as urinary frequency and dysuria, which are seldom missed.
Impact of trait measurement error on quantitative genetic analysis of computer vision derived traits
Abstract Background: Quantitative genetic analysis of image- or video-derived phenotypes is increasingly being performed for a wide range of traits. Pig body weight values estimated by a conventional approach or a computer vision system can be considered as two different measurements of the same trait, but with different sources of phenotyping error.
PredictingDairy Calf Body Weight from Depth Images Using Deep Learning (YOLOv8) and Threshold Segmentation with Cross-Validation and Longitudinal Analysis
This is an early access version, the complete PDF, HTML, and XML versions will be available soon. Open AccessArticle by Mingsi Liao 1, Gota Morota 1,2, Ye Bi 1 and Rebecca R.
"Adaptive Design of mRNA-Loaded Extracellular Vesicles for Targeted Imm" by Shiyan Dong, Xuan Liu et al.
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Evaluation of the safety and efficacy of concentrated growth factors for hair growth promotion in androgenetic alopecia patients: A retrospective single‐centre, single‐arm study
1 INTRODUCTION Androgen-related progressive hair loss, known as androgenetic alopecia (AGA), affects both men and women, particularly those with a family history of the condition, and worsens with aging, it is characterized by progressive hair loss, particularly of scalp hair.1, 2 The prevalence of AGA differs by race and gender, the incidence are up to 21.3% among males and 6.0% among females in China, and the incidence is much higher in Caucasians with up to 80% of men and 40% of women by...
Genomic prediction of metabolic content in rice grain in response to warmer night conditions
Abstract It has been argued that metabolic content can be used as a selection marker to accelerate crop improvement because metabolic profiles in crops are often under genetic control. Evaluating the role of genetics in metabolic variation is a long-standing challenge. Rice, one of the world's most important staple crops, is known to be sensitive to recent increases in nighttime temperatures. Quantification of metabolic levels can help measure rice responses to high night temperature (HNT) stress.
Finite Element Investigation of a Novel Cold-Formed Steel Shear Wall
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Leveraging genomics and temporal high-throughput phenotyping to enhance association mapping and yield prediction in sesame
Abstract Sesame (Sesamum indicum) is an important oilseed crop with rising demand due to its high oil quality. To meet these future demands, there is an urgent need to develop and integrate new breeding strategies. While genomic resources have advanced genetic research in sesame, implementation of high-throughput phenotyping and genetic analysis of longitudinal traits remains limited.
sc2MeNetDrug: A computational tool to uncover inter-cell signaling targets and identify relevant drugs based on single cell RNA-seq data
Loading metrics Open Access Peer-reviewed Research Article ? This is an uncorrected proof. Citation: Feng J, Goedegebuure SP, Zeng A, Bi Y, Wang T, Payne P, et al. (2024) sc2MeNetDrug: A computational tool to uncover inter-cell signaling targets and identify relevant drugs based on single cell RNA-seq data. PLoS Comput Biol 20(1): e1011785.
Donor-acceptor modified UiO-67 type metal-organic frameworks for the enhancing photodegradation of tetracycline under visible light
Donor-acceptor modified UiO-67 type metal-organic frameworks for the enhancing photodegradation of tetracycline under visible light The visible-light-driven photodegradation is an effective method for the elimination of organic water pollutes. In this work, through the linker engineering, we designed a series of UiO-67 type metal-organic frameworks (termed as UiO-67-NA, UiO-67-BT and UiO-67-NB) with varied electron donor and acceptor.
SC2MeNetDrug: A computational tool to uncover inter-cell signaling targets and identify relevant drugs based on single cell RNA-seq data
Abstract Single-cell RNA sequencing (scRNA-seq) is a powerful technology to investigate the transcriptional programs in stromal, immune, and disease cells, like tumor cells or neurons within the Alzheimer's Disease (AD) brain or tumor microenvironment (ME) or niche. Cell-cell communications within ME play important roles in disease progression and immunotherapy response and are novel and critical therapeutic targets.
Human Milk Oligosaccharides Are Associated with Lactation Stage and Lewis Phenotype in a Chinese Population
Open AccessArticle by Xiangnan Ren 1,2,3, Jingyu Yan 4, Ye Bi 1,2,3, Paul William Shuttleworth 5, Ye Wang 1,2,3, Shan Jiang 1,2,3, Jie Wang 1,2,3, Yifan Duan 1,2,3, Jianqiang Lai 1,3,*,† and Zhenyu Yang 1,2,3,*,† 1 National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China 2 Key Laboratory of Trace Element Nutrition of National Health Commission, Beijing 100050, China 3 Key Laboratory of Human Milk Science, Chinese Center for Disease...
What are the determinants of low exclusive breastfeeding prevalence in China? A cross‐sectional study
Abstract Exclusive breastfeeding (EBF) status is far from the national target in China. To identify the modifiable factors associated with EBF of infants aged under 6 months in China. A cross-sectional study was conducted in 12 provinces/municipalities across China in 2017–2018. We used multistage stratified cluster sampling and collected data through face-to-face interviews with mothers using an electronic questionnaire. Totally, 5287 pairs of mother–infant aged <6 months were investigated.
SC2MeNetDrug: A computational tool to uncover inter-cell signaling targets and identify relevant drugs based on single cell RNA-seq data
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Tumor-on-a-chip platform to investigate progression and drug sensitivity in cell lines and patient-derived organoids
Most cancer treatment strategies target cell proliferation, angiogenesis, migration, and intravasation of tumor cells in an attempt to limit tumor growth and metastasis. An in vitro platform to assess tumor progression and drug sensitivity could provide avenues to enhance our understanding of tumor metastasis as well as precision medicine. We present a microfluidic platform that mimics biological mass transport near the arterial end of a capillary in the tumor microenvironment.
Inderscience Publishers
The full text of this article by Ye Bi International Journal of Security and Networks (IJSN), Vol. 11, No. 4, 2016 Abstract: This paper concentrates on the problem of network intrusion detection, which is an important problem in informatisation construction. We utilise the incremental support vector machine (SVM) to solve the network intrusion detection problem, and the SVM classification problem can be tackled by a decision function via a quadratic program.
Thermostability and Photoluminescence under the Magnetic Field of Dy(III) Single-Molecule Magnets
A series of compounds [ADyL4]∙[solvents] composed of a dysprosium (III) ion coordinated by four chelated naphthyridine-like ligands (L = 4-hydroxy-8-methyl-1, 5-naphthyridine-3-carbonitrile) and an alkali metal ion (A = Na, K, Rb, Cs) are synthesized and characterized. They behave as single-molecule magnets under zero dc field with effective energy barrier of 95 cm-1 around. Meanwhile, the main part [ADyL4] of these SMMs are thermostable and sublimable.
FcγRIIIa (CD16a) drives the differentiation of peripheral human naive CD4+ T-cells
Activated human naïve CD4+ T-cells express FcγRIIIa receptors, which may serve as a checkpoint for immune homeostasis. A positive co-stimulation from FcγRIIIa (CD16a) will override the negative co-stimulation to drive immune expansion in autoimmunity. In an autoimmune background, FcγRIIIa via pSyk signal generated IFN-γhigh, T 17 and T populations. FcγRIIIa-pSyk signal up-regulated more than 80-fold toll-like receptor (TLR)3 and TLR8 proteins and enzymes that drive epigenetic modifications.
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