- Nerve injury and regeneration
- Protein Structure and Dynamics
- Machine Learning in Bioinformatics
- Pharmacological Effects of Natural Compounds
- Human-Animal Interaction Studies
- Gaze Tracking and Assistive Technology
- Hereditary Neurological Disorders
- Bullying, Victimization, and Aggression
- Cell Image Analysis Techniques
- Social Robot Interaction and HRI
- Topic Modeling
- Single-cell and spatial transcriptomics
- Gender Roles and Identity Studies
- Social and Intergroup Psychology
- Software Engineering Research
- Signaling Pathways in Disease
- Advanced Graph Neural Networks
- Advanced Measurement and Detection Methods
- Economic Growth and Development
- Advanced Measurement and Metrology Techniques
- Structural Behavior of Reinforced Concrete
- Multimodal Machine Learning Applications
- Personality Traits and Psychology
- Child and Adolescent Psychosocial and Emotional Development
- Bat Biology and Ecology Studies
Southwest University
2023-2025
Shanxi University
2024-2025
Georgia Institute of Technology
2025
Tsinghua University
2016-2024
Xi’an Jiaotong-Liverpool University
2023
Ministry of Education of the People's Republic of China
2023
Dalian University
2021
Xuzhou Medical College
2020
Southern Medical University
2020
Analysis of single-cell datasets generated from diverse organisms offers unprecedented opportunities to unravel fundamental evolutionary processes conservation and diversification cell types. However, interspecies genomic differences limit the joint analysis cross-species homologous genes. Here we present SATURN, a deep learning method for universal embeddings that encodes genes' biological properties using protein language models. By coupling models with RNA expression, SATURN integrates...
Analysis of single-cell datasets generated from diverse organisms offers unprecedented opportunities to unravel fundamental evolutionary processes conservation and diversification cell types. However, inter-species genomic differences limit the joint analysis cross-species homologous genes. Here, we present SATURN, a deep learning method for universal embeddings that encodes genes' biological properties using protein language models. By coupling models with RNA expression, SATURN integrates...
Guiding robots, in the form of canes or cars, have recently been explored to assist blind and low vision (BLV) people. Such robots can provide full partial autonomy when guiding. However, pros cons different forms for guiding remain unknown. We sought fill this gap. designed autonomy-switchable robotic cane car. conducted a controlled lab-study (N=12) field study (N=9) on BLV. Results showed that received better walking performance subjective ratings study, whereas participants used more...
Predicting changes in protein thermostability due to amino acid substitutions is essential for understanding human diseases and engineering useful proteins clinical industrial applications. While recent advances generative models, which learn probability distributions over acids conditioned on structural or evolutionary sequence contexts, have shown impressive performance predicting various properties without task-specific training, their strong unsupervised prediction ability does not...
The widespread use of food additives, such as butylated hydroxyanisole (BHA), hydroxytoluene (BHT), and tert-butylhydroquinone (TBHQ), has raised concerns about their potential toxicity, especially hepatotoxicity, nephrotoxicity, neurotoxicity. This study explores the targets mechanisms additive-induced toxicity using network toxicology. Toxicity predictions BHA, BHT, TBHQ were performed ProTox-3.0, ADMETlab 3.0, Xundrug databases, identified SwissTargetPrediction, Batman-TCM, SuperPred, SEA...
Quadruped robots have the potential to guide blind and low vision (BLV) people due their highly flexible locomotion emotional value provided by bionic forms. However, development of quadruped rarely involves BLV users' participatory designs evaluations. In this paper, we conducted two empirical experiments both in indoor controlled outdoor field scenarios, exploring benefits drawbacks robots. The results show that nowadays commercial exposed significant disadvantages usability trust compared...
Peripheral nerve injury (PNI) is a common and incurable disease in the clinic, but effects of available treatments are still not satisfactory. Therefore, it necessary to explore new treatment methods. To effect mechanism melatonin peripheral regeneration, we administered mice with PNI by intraperitoneal injection. We applied microarray analysis detect differentially expressed genes sciatic after application. Then, conducted gene ontology protein-protein interactions screen out key related...
Protein is linked to almost every life process. Therefore, analyzing the biological structure and property of protein sequences critical exploration life, as well disease detection drug discovery. Traditional analysis methods tend be labor-intensive time-consuming. The emergence deep learning models makes modeling data patterns in large quantities possible. Interdisciplinary researchers have begun leverage model datasets, e.g. using long short-term memory convolutional neural network for...
This study explores whether sex differences in reactive aggression (RA) and proactive (PA) are attributable to sex, gender role orientation, or their interaction the neuroanatomical characteristics of these differences. In a sample 108 males 126 females, we examined sex-by-gender orientation on RA, PA, brain gray matter volume (GMV). Then, explored relationship between regional GMV. When effects were disentangled, there no regardless orientation. However, (male > female) PA observed within...
Charcot-Marie-Tooth (CMT) disease is the most common inherited peripheral neuropathy and shows clinical genetic heterogeneity. Mutations in C1orf194 encoding a Ca2+ regulator neurons Schwann cells have been reported previously by us to cause CMT disease. In here, we further investigated function pathogenic mechanism of C1or194 generating knockout (KO) mice. Homozygous mutants mice exhibited incomplete embryonic lethality, characterized differentiation abnormalities stillbirth on days...
Vertical deflection of a frame beam is an important indicator in the limit-state analysis structures, particularly for steel–concrete composite beams, which are usually designed with large spans and heavy loads. In this study, equivalent flexural stiffness beams analysed to evaluate their vertical deflection. A theoretical model spring constraint boundary varied segments established consider influence both rotation restraint at ends cracked section negative moment region, such that inelastic...
Although previous behavioral studies have associated reactive aggression (RA) and proactive (PA) with traditional masculinity, further investigation is needed into the masculinity-linked neuroanatomical characteristics of RA PA. This study analyzed masculinity-by-aggression interaction in 705 participants (350 men) by measuring grey matter volume (GMV). We expanded on found that masculinity was not PA when controlled for femininity. However, association appeared controlling it. Furthermore,...
This study investigates the effects of Daphnes Cortex and its processed products on differentiation Th17/Treg cells in SD rats with type Ⅱ collagen-induced arthritis(CIA).Sixty-four were randomly divided into normal group(normal),model group(model),fried Daphne giraldii Nitsche low-dose high-dose groups(FDGN-L group, FDGN-H group),raw D. groups(RDGN-L RDGN-H group),daphnetin group(DAPH group),and tripterygium glycosides group(GTW group).Except for CIA model was immunized seventh day after...
Quadruped robots have the potential to guide blind and low vision (BLV) people due their highly flexible locomotion emotional value provided by bionic forms. However, development of quadruped rarely involves BLV users' participatory designs evaluations. In this paper, we conducted two empirical experiments both in indoor controlled outdoor field scenarios, exploring benefits drawbacks robots. The results show that nowadays commercial exposed significant disadvantages usability trust compared...
In recent years, the coming of COVID-19 has put numerous countries, like Nigeria, in financial crisis. this paper, six indicators including GDP, Foreign Direct Investment, GNI, Inflation, Unemployment Rate and Economic growth are used to study changes influencing factors Nigeria past 20 years with technology information. By studying fiscal policies, monetary policies exchange rate decade, adverse consequences shortcomings these summarized. analyzing Nigerian government it is stated that GDP...