A5022165990- Genetic Associations and Epidemiology
- Reading and Literacy Development
- Gene expression and cancer classification
- Statistical Methods and Inference
- Cognitive and developmental aspects of mathematical skills
- RNA modifications and cancer
- Genetic and phenotypic traits in livestock
- Single-cell and spatial transcriptomics
- Bayesian Methods and Mixture Models
- Advanced Clustering Algorithms Research
- Image Retrieval and Classification Techniques
- Language Development and Disorders
- Genetic Mapping and Diversity in Plants and Animals
- Bioinformatics and Genomic Networks
- Robot Manipulation and Learning
- Neurobiology of Language and Bilingualism
- Epigenetics and DNA Methylation
- Soft Robotics and Applications
- Adaptive Control of Nonlinear Systems
- Genomic variations and chromosomal abnormalities
- Cancer-related molecular mechanisms research
- Reproductive Biology and Fertility
- Statistical Methods and Bayesian Inference
- Child and Animal Learning Development
- Writing and Handwriting Education
China Agricultural University
2023-2024
Tsinghua University
2012-2024
Capital Normal University
2019-2024
Nanjing Medical University
2024
Zhejiang University
2023
Linyi University
2023
Nanjing University of Posts and Telecommunications
2021-2022
State Key Laboratory of Chemical Engineering
2021
Beijing Normal University
2014-2020
Heilongjiang University
2019
Abstract In this 8‐year longitudinal study, we traced the vocabulary growth of Chinese children, explored potential precursors knowledge, and investigated how predicted future reading skills. Two hundred sixty‐four (264) native children from Beijing were measured on a variety language tasks over 8 years. Between ages 4 to 10 years, they administered related cognitive At age 11, comprehensive skills, including character recognition, fluency, comprehension examined. Individual differences in...
Differences in how writing systems represent language raise important questions about the extent to which role of linguistic skills such as phonological awareness (PA) and morphological (MA) reading is universal. In this meta-analysis, authors examined relationship between PA, MA, (accuracy, fluency, comprehension) 2 languages (English Chinese) representing different (alphabetic logographic). A random-effects model analysis data from 64 studies with native speakers each revealed significant...
The present study reported data on phonological awareness, morphological and Chinese literacy skills of 294 children from an 8-year longitudinal study. Results showed that mainland children's preliterate syllable awareness at ages 4 to 6 years uniquely predicted post-literate 7 10 years. Preliterate directly contributed character reading writing age 11 years, while phonemic only In addition, had indirect effects writing, fluency, comprehension through Findings underscore the significant role...
Genetic risk prediction is an important problem in human genetics, and accurate can facilitate disease prevention treatment. Calculating polygenic score (PRS) has become widely used due to its simplicity effectiveness, where only summary statistics from genome-wide association studies are needed the standard method. Recently, several methods have been proposed improve PRS by utilizing external information, such as linkage disequilibrium functional annotations. In this paper, we introduce...
While previous studies have shown that the impact of phonological awareness (PA) and rapid automatized naming (RAN) on dyslexia depends orthographic complexity in alphabetic languages, it remains unclear whether this relationship generalizes to more complex orthography Chinese. We investigated predictive power PA, RAN, morphological (MA) diagnosis status a sample 241 typically developing 223 dyslexic Chinese-speaking children. Compared with control group, children performed notably worse...
High-dimensional correlated binary data arise in many areas, such as observed genetic variations biomedical research. Data simulation can help researchers evaluate efficiency and explore properties of different computational statistical methods. Also, some methods, Monte Carlo rely on simulation. Lunn Davies proposed linear time complexity methods to generate variables with three common correlation structures. However, it is infeasible specify unequal probabilities their In this article, we...
Abstract TWAS have shown great promise in extending GWAS loci to a functional understanding of disease mechanisms. In an effort fully unleash the and information, we propose MTWAS, statistical framework that partitions aggregates cross-tissue tissue-specific genetic effects identifying gene-trait associations. We introduce non-parametric imputation strategy augment inaccessible tissues, accommodating complex interactions non-linear expression data structures across various tissues. further...
Abstract As a histone acetyltransferase, lysine acetyltransferase 8 (KAT8) participates in diverse biological processes. However, the effect of KAT8 on oocyte maturation mice remains unclear. In this study, we found that mouse oocytes overexpressing Kat8‐ OE induced failure manifested reduced rates GVBD and first polar body emission. addition, immunostaining results revealed Kat8 showed inappropriate mitochondrial distribution patterns, overproduction reactive oxygen species (ROS),...
The Yangyuan donkey is a domestic animal breed mainly distributed in the northwest region of Hebei Province. Donkey body shape most direct production index, can fully reflect donkey’s growth status, and closely related to important economic traits. As one main breeding selection criteria, size traits have been widely used monitor evaluate response. Molecular markers genetically linked potential accelerate process animals via marker-assisted selection. However, molecular donkeys yet be...
The doublecortin domain-containing 2 (DCDC2) gene, which is located on chromosome 6p22.1, has been widely suggested to be a candidate gene for dyslexia, but its role in typical reading development over time remains clarified. In the present study, we explored of DCDC2 contributing individual differences from ages 6 11 years by analysing data 284 unrelated children who were participating Chinese Longitudinal Study Reading Development (CLSRD). associations eight single nucleotide polymorphisms...
As a significant tool to integrate information technology and education, dynamic mathematical software (DMS) has been widely concerned in recent years. However, how better apply it instruction practice deserves further exploration. Thus, we adopted the meta-analysis method analyze DMS-based experiments published between 2000 2020. A three-level of data from 107 studies involving 10,507 participants 138 effect sizes revealed moderate size (d = .632, 95% CI [.550, .713]). Moreover, moderator...
Abstract The genetic effects on specific behavioral phenotypes are putatively mediated by neural functions. It remains unexplored how the axon‐guidance‐receptor gene ROBO1 influences reading performance through system despite identification of as a susceptibility for dyslexia. To address this issue, present study recruited group children with wide range abilities. Two previously identified reading‐related polymorphisms were genotyped, and diffusion structural MRI acquired to measure fiber...
Abstract Accurate estimate of relatedness is important for genetic data analyses, such as heritability estimation and association mapping based on collected from genome-wide studies. Inaccurate estimates may lead to biased estimations spurious associations. Individual-level genotype are often used kinship coefficient between individuals. The commonly sample correlation-based genomic relationship matrix (scGRM) method by calculating the average correlation among all single nucleotide...
Single-cell chromatin accessibility sequencing (scCAS) technologies have enabled characterizing the epigenomic heterogeneity of individual cells. However, identification features scCAS data that are relevant to underlying biological processes remains a significant gap. Here, we introduce novel method Cofea, fill this Through comprehensive experiments on 5 simulated and 54 real datasets, Cofea demonstrates its superiority in capturing cellular facilitating downstream analysis. Applying cell...
In this article, a consensus tracking control problem is investigated for second-order nonlinear multiagent system (MAS). Based on the immersion and invariance (I&I) theory, distributed I&I strategy proposed with known dynamics first. On basis of graph an error established. The MAS transformed into stabilizing issue. An implicit manifold constructed, improved form off-the-manifold coordinate, regulating factor, introduced. Further, unknown studied. A designed in combination adaptive...