A5102812623- Genetic diversity and population structure
- Genomics and Phylogenetic Studies
- Epoxy Resin Curing Processes
- Synthesis and properties of polymers
- Evolution and Genetic Dynamics
- Traffic Prediction and Management Techniques
- Vehicle Dynamics and Control Systems
- Artificial Intelligence in Healthcare
- Robotic Path Planning Algorithms
- Advanced Control Systems Optimization
- Mechanical Behavior of Composites
- Cryptographic Implementations and Security
- Fiber-reinforced polymer composites
- 3D Printing in Biomedical Research
- Gene Regulatory Network Analysis
- Network Packet Processing and Optimization
- Robotic Locomotion and Control
- Aerosol Filtration and Electrostatic Precipitation
- Plant biochemistry and biosynthesis
- Surface Modification and Superhydrophobicity
- Air Quality Monitoring and Forecasting
- Fault Detection and Control Systems
- Genetic and Kidney Cyst Diseases
- Single-cell and spatial transcriptomics
- Advanced Sensor and Energy Harvesting Materials
Southeast University
2023-2025
Chinese Academy of Sciences
2011-2024
Ningbo Institute of Industrial Technology
2024
Wuhan University
2024
Shanghai University of Electric Power
2023-2024
Fuzhou University
2024
Alibaba Group (China)
2023
Zhejiang University
2019-2022
Hohai University
2022
Academy of Mathematics and Systems Science
2011-2021
A Bayesian coalescent-based method has recently been proposed to delimit species using multilocus genetic sequence data. Posterior probabilities of different delimitation models are calculated reversible-jump Markov chain Monte Carlo algorithms. The accounts for phylogenies and coalescent events in both extant extinct accommodates lineage sorting uncertainties the gene trees. Although is theoretically appealing, its utility practical data analysis yet be rigorously examined. In particular,...
Recent simulation studies examining the performance of Bayesian species delimitation as implemented in bpp program have suggested that may detect population splits but not divergences and it tends to over-split when data many loci are analyzed. Here, we confirm these results provide mathematical justifications. We point out distinction between made protracted speciation model (PSM) has no influence on generation gene trees sequence data, which explains why method can use such distinguish...
With the continuous increase in user-side flexible controllable resources connected into a distribution system, components of electrical load become too diverse and difficult to be accuracy forecasted. A short-term forecast method that integrates variational modal decomposition (VMD), gated recurrent unit (GRU) time convolutional network (TCN) hybrid is proposed this paper. Firstly, original sequence data with noise are decomposed intrinsic IMF different frequencies amplitudes based on VMD...
Abstract The multispecies coalescent model provides a natural framework for species tree estimation accounting gene-tree conflicts. Although number of methods under the have been suggested and evaluated using simulation, their statistical properties remain poorly understood. Here, we use mathematical analysis aided by computer simulation to examine identifiability, consistency, efficiency different in case three sequences molecular clock. We consider four major species-tree including...
Early prediction and classification of prognosis is essential for patients in the coronary care unit (CCU). We applied a machine learning (ML) model using eXtreme Gradient Boosting (XGBoost) algorithm to prognosticate CCU compared XGBoost with traditional models.CCU patients' data were extracted from MIMIC-III v1.4 clinical database, divided into four groups based on time death: <30 days, 30 days-1 year, 1-5 years, ≥5 years. Four models, including XGBoost, naïve Bayes (NB), logistic...
Primary cilia frequency and length are key metrics in studies of ciliogenesis ciliopathies. Typically, quantitative analysis is done manually, which very time-consuming. While some open-source commercial image software applications can segment input data, they still require the user to optimize many parameters, suffer from bias, often lack rigorous performance quality assessment (e.g., false positives negatives). Further, optimal parameter combinations vary detection accuracy depending on...
Nowadays, the realization of obstacle avoidance for robot manipulators are generally based on offline path planning, which may be insufficient real-time dynamic scenarios. In order to achieve safe and smooth obstacles, a low-latency motion planning algorithm, takes into account is practical significance. Toward this end, article proposes cascaded nonlinear model predictive control (MPC) assigned with two-stage optimization problem. Specially, high-level MPC combines artificial potential...
Abstract Recent simulation studies examining the performance of Bayesian species delimitation as implemented in BPP program have suggested that may detect population splits but not divergences and it tends to over-split when data many loci are analyzed. Here we confirm several these results provide their mathematical justifications. We point out distinction between made protracted speciation model has no influence on generation gene trees sequence data, which explains why method can use such...
Recently around half of the world's current population resides in urban areas and benefit from rich services smart city. The majority city are recommendation-related services, with development Internet, most recommendation economy online recommendations. Online travel platforms (OTPs) (like Booking, Airbnb, Ctrip, Fliggy) provide people sufficient resources convenient approaches to plan enjoy their trips Hotel is essential for success OTPs. However, it more challenging compared item typical...
Abstract Motivation: Cancer is well known to be the end result of somatic mutations that disrupt normal cell division. The number such have accumulated in a before cancer develops depends on type cancer. waiting time Tm until appearance m thus an important quantity population genetics models carcinogenesis. Such are often difficult analyze theoretically because complex interactions mutation, drift and selection. They also computationally expensive simulate large cells low mutation rate....
The hash join operator is one of the most important relational operations used in database. offloading and acceleration this operation on hardware has been a technique growing interest for long time. However, non-uniform distribution data caused by collisions negatively affects throughput algorithm, owing variation number table accesses required each lookup. To resolve issue, non-collision parallel static random-access memory (SRAM)-based architecture presented. This utilizes multiple...
Never in history is the importance of data science so emphasized modern society. Focusing on obtaining conclusive results from implicit features concealed a huge amount data, plays remarkable role various fields, including medical practice. Although fascinating performance cutting-edge technology capable coping with numerous diseases, certain such as breast cancer and Parkinsons disease, still compromise peoples health since these diseases are difficult to predict prone exacerbate. In order...
A flexible active safety motion (FASM) control approach is proposed for the avoidance of dynamic obstacles and reference tracking in robot manipulators. The distinctive feature method lies its utilization barrier functions (CBF) to design CBF-guided criteria (CBFSC) with dynamically optimized decay rates, thereby offering flexibility manipulators environments. First, discrete-time CBFs are employed formulate novel CBFSC rates Following that, model predictive (MPC) philosophy applied,...
In this work, the multi-scale failure and damage constitutive relationship of PPESK are investigated via quasi-static tensile/bending tests scanning electron microscopy characterization methods, cross-scale three-dimensional evolution model within a broad temperature range is constructed for first time. Based on findings, boundary effect concept proposed as follows: cumulative pore initiation craze expansion cracking at microscopic scale essential factors material various temperatures, which...