A5083805375- Selenium in Biological Systems
- Sperm and Testicular Function
- Reproductive Biology and Fertility
- Distributed Control Multi-Agent Systems
- Animal Genetics and Reproduction
- Neural Networks Stability and Synchronization
- Genetic and phenotypic traits in livestock
- Adaptive Control of Nonlinear Systems
- Ruminant Nutrition and Digestive Physiology
- Molecular Biology Techniques and Applications
- Animal Diversity and Health Studies
- Smart Grid Security and Resilience
- Rabbits: Nutrition, Reproduction, Health
- Cancer-related gene regulation
- Heavy Metal Exposure and Toxicity
- Stability and Control of Uncertain Systems
- Urological Disorders and Treatments
- Moringa oleifera research and applications
- Esophageal Cancer Research and Treatment
- Machine Learning in Healthcare
- Ovarian function and disorders
- Microgrid Control and Optimization
- Recommender Systems and Techniques
- Cancer-related molecular mechanisms research
- Viral gastroenteritis research and epidemiology
State Key Laboratory of Vehicle NVH and Safety Technology
2022-2024
Nanjing University of Posts and Telecommunications
2024
Brunel University of London
2017-2022
Shanxi Agricultural University
2008-2022
Anhui Provincial Center for Disease Control and Prevention
2017
Daqing Oilfield General Hospital
2011-2014
Zhengzhou University
2014
Institute of Food Science & Technology
2011
Fuyang City People's Hospital
2010
Yebio Bioengineering (China)
2009
Breast cancer (BC) is one of the most common cancers among women worldwide, representing majority new cases and cancer-related deaths according to global statistics, making it a significant public health problem in today’s society. The early diagnosis BC can improve prognosis chance survival significantly, as promote timely clinical treatment patients. Further accurate classification benign tumours prevent patients undergoing unnecessary treatments. Thus, correct into malignant or groups...
With the increasing amount of information on internet, recommendation system (RS) has been utilized in a variety fields as an efficient tool to overcome overload. In recent years, application RS for health become growing research topic due its tremendous advantages providing appropriate recommendations and helping people make right decisions relating their health. This paper aims at presenting comprehensive review typical techniques applications field healthcare. More concretely, overview is...
This paper addresses an adaptive event-triggered consensus control problem for a class of second-order nonlinear multiagent systems (MASs) in undirected communication topology. A novel distributed scheme is presented the MAS with unknown functions based on definition auxiliary state, and coefficient triggered function can be regulated adaptively dependence state error to ensure not only performance but also efficiency network interactions. Furthermore, two self-triggered algorithms are...
An event-triggered output feedback control approach is proposed via a disturbance observer and adaptive dynamic programming (ADP). The solution starts by constructing nonlinear observer, which only depends on the measurement of system output. A state then developed based approximation information dynamics neural networks. In order to avoid continuous transmission reduce communication burden in closed-loop system, an mechanism introduced such that signal updated at specific instant when...
Information exchanges among interacting agents play a significant role in guaranteeing successful completion of the desired coordinated control tasks for multi-agent system (MAS). Furthermore, these information are often performed over some open and resource-constrained communication networks, thereby making security resource efficiency vitally important various problems. This paper addresses secure dynamic event-trigger-based resilient consensus problem an MAS presence both sensor actuator...
The absolute positioning accuracy of an industrial robot arm is vital for advancing manufacturing-related applications like automatic assembly, which can be improved via the data-driven approaches to calibration. Existing calibrators have illustrated their efficiency in addressing issue However, they mostly are single learning models that easily affected by insufficient representation solution space, therefore, suffering from calibration loss. To address this issue, study proposes a...
An observer-based containment control issue is addressed for a class of uncertain nonlinear multiagent systems with directed topology via the active disturbance rejection and backstepping techniques. A kind extended state observers (ESOs) based on fractional power functions developed, estimations states are utilized to compensate dynamics in real time. Compared linear ESOs, advantages ESOs this paper lie peaking reduction better tolerance measurement noise closed-loop system. Moreover,...
Friedreich's ataxia (FRDA) is the most common inherited that causes progressive damage of nervous systems and performance deterioration physical movements. FRDA baseline data analysis plays a crucial role in advancing disease research, where main obstacle comes from collection primarily due to degenerative symptoms patients. Inspired by nowadays popular collaborative filtering (CF) method, new algorithm proposed this article, with which patients (or their families) are only required provide...
The objectives of this study were to identify polymorphisms insulin-like growth factor I (IGF-I) gene and investigate their association with traits in Nanjiang Huang goats.Five hundred ninety-two animals used detect the complete coding sequence, part introns 5′-regulatory region IGF-I by means PCR-SSCP.A new single nucleotide polymorphism (G C transversion) was identified at intron 4 goats.Two alleles three genotypes observed group.The frequency G 54.6 45.4%, respectively.The statistical...
The stochastic nature of intermittent energy resources has brought significant challenges to the optimal operation hybrid systems. This article proposes a probabilistic multiobjective evolutionary algorithm based on decomposition (MOEA/D) method with two-step risk-based decision-making strategy tackle this problem. A scenario-based technique is first utilized generate model system. Those scenarios divide feasible domain into several regions. Then, MOEA/D framework, penalty-based boundary...
An experiment was conducted to evaluate the effect of different levels supplemental selenomethionine (Se-Met) on growth performance and serum antioxidant status in Taihang Black goats.Fifty 16-week-old goats with an average body weight 12.5±0.5 kg were randomly assigned five treatments fed a basal diet (0.049 mg Se/kg DM) supplemented 0 (control), 0.10, 0.30, 0.50 1.00 DM (form Se-Met) for 80 days.Average daily gain feed efficiency higher (p<0.05) groups 0.30 compared control group.However,...