A5090936853- Fluid Dynamics and Turbulent Flows
- Particle Dynamics in Fluid Flows
- Aerodynamics and Acoustics in Jet Flows
- Cardiac Imaging and Diagnostics
- Cardiovascular Disease and Adiposity
- Single-cell and spatial transcriptomics
- Cardiovascular Function and Risk Factors
- Healthcare Systems and Public Health
- Photoreceptor and optogenetics research
- Statistical Methods and Inference
- Artificial Intelligence in Healthcare
- Wind and Air Flow Studies
- Zebrafish Biomedical Research Applications
- Sparse and Compressive Sensing Techniques
- Retinal Development and Disorders
- Advanced Numerical Analysis Techniques
- Complex Systems and Time Series Analysis
- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Bone and Dental Protein Studies
- Water Treatment and Disinfection
- Time Series Analysis and Forecasting
- Computational Fluid Dynamics and Aerodynamics
- Gene Regulatory Network Analysis
- Computability, Logic, AI Algorithms
University of Georgia
2020-2025
Purdue University West Lafayette
2021-2023
Institute of Food Science and Technology
2022
Chinese Academy of Agricultural Sciences
2022
University of Alberta
2022
Shandong Jianzhu University
2022
The dynamic association between stochastic processes provides crucial information to science and industrial enterprises. Classic methods only provide a fixed static metric that represents the global of processes. characterizes is still lacking. Developing such challenging since temporal dependence could introduce an additional layer complexity. To surmount challenge, we develop method for characterizing two by delineating varying factors may affect This made possible via novel concept fluid...
Large-eddy simulations (LES) of a hypersonic boundary layer on $7^\circ$ -half-angle cone are performed to investigate the effects highly cooled walls (wall-to-recovery temperature ratio $T_w / T_r \sim 0.1$ ) fully developed turbulence and validate newly rescaling method based volumetric flow extraction. Two Reynolds numbers considered, $Re_m = 4.1 \times 10^6\ \text {m}^{-1}$ $6.4 , at free-stream Mach $M_\infty 7.4$ . A comparison with reference laminar-to-turbulent simulation, capturing...
Abstract Multimodal integration combines information from different sources or modalities to gain a more comprehensive understanding of phenomenon. The challenges in multi-omics data analysis lie the complexity, high dimensionality, and heterogeneity data, which demands sophisticated computational tools visualization methods for proper interpretation data. In this paper, we propose novel method, termed Orthogonal Multimodality Integration Clustering (OMIC), analyzing CITE-seq. Our approach...
Retinitis Pigmentosa (RP) is a mostly incurable inherited retinal degeneration affecting approximately 1 in 4000 individuals globally. The goal of this work was to identify drugs that can help patients suffering from the disease. To accomplish this, we screened on zebrafish autosomal dominant RP model. This model expresses truncated human rhodopsin transgene (Q344X) causing significant rod by 7 days post-fertilization (dpf). Consequently, larvae displayed deficit visual motor response (VMR)...
Extensive clinical evidence suggests that a preventive screening of coronary heart disease (CHD) at an earlier stage can greatly reduce the mortality rate. We use 64 two-dimensional speckle tracking echocardiography (2D-STE) features and seven to predict whether one has CHD.
Abstract
Smoothing splines have been used pervasively in nonparametric regressions. However, the computational burden of smoothing is significant when sample size n large. When number predictors d ≥ 2 , cost for at order O(n3) using standard approach. Many methods developed to approximate spline estimators by q basis functions instead ones, resulting a O(nq2). These are called selection methods. Despite algorithmic benefits, most require assumption that uniformly-distributed on hyper-cube. may...
Direct numerical simulations of hypersonic turbulent Couette flows are performed for top-wall Mach numbers 6, 7 and 8, inspired by non-reactive high-enthalpy wind tunnel free-stream conditions, with the goal analysing physical processes driving sub-filter-scale (SFS) stresses to inform development large-eddy simulation techniques wall-bounded flows. Semi-local scaling laws collapse mean profiles second-order statistics well, in spite strong wall-normal gradients temperature density. On other...
Endothelial protein C receptor (EPCR), cannabinoid 2 (CBR2), and estrogen α (ERα) play vital roles in osteoblasts proliferation. Also, collagen peptides have proliferation stimulation abilities, di/tri-peptides could be absorbed by the intestine more easily. This study obtained three di/tripeptides with potential abilities of yak bone collagen, namely, MGF, CF, MF, silico screening. Results suggested that these exhibited good absorption, distribution, metabolism, excretion, toxicity (ADMET)...
Modification to the structure of wall-bounded turbulence due presence porous walls has been investigated in low and high supersonic regime. For sufficiently degrees wall permeability, streamwise-traveling surface waves are triggered stay confined buffer layer region. These yield a sinusoidal modulation near-wall turbulent ejection burst events.
Single cell RNA sequencing (scRNA-seq) technologies provide researchers with an unprecedented opportunity to exploit heterogeneity. For example, the sequenced cells belong various lineages, which may have different fates in stem and progenitor cells. Those differentiate into mature types a differentiation process. To trace behavior of differentiation, reconstruct lineages predict by ordering chronologically trajectory pseudo-time. However, scRNA-seq experiments, there are no cell-to-cell...
Abstract Retinitis Pigmentosa (RP) is an incurable inherited retinal degeneration affecting approximately 1 in 4,000 individuals globally. The goal of this work was to identify drugs that can help patients suffering from the disease. To accomplish this, we screened on a zebrafish RP model. This model expresses truncated human rhodopsin transgene ( Tg(rho:Hsa . RH1_Q344X )) causing significant rod by 7 days post-fertilization (dpf). Consequently, larvae displayed deficit visual motor response...
View Video Presentation: https://doi.org/10.2514/6.2023-0865.vid Direct numerical simulations of hypersonic Couette flows are performed with the top wall Mach number 6, 7 and 8. The main objective is to investigate exact subfilter scale (SFS) stresses, which modeled in large-eddy (LES), wall-bounded turbulent at conditions. friction Reynolds ranges from 621 713 it increases increase number, whereas semi-local 213 277 decreases number. An investigation mean profiles shows that temperature...
Abstract Background : Extensive clinical evidence suggests that a preventive screening of coronary heart disease (CHD) at an earlier stage can greatly reduce the mortality rate. We use 64 two-dimensional speckle tracking echocardiography (2D-STE) features and seven to predict whether one has CHD. Methods develop machine learning approach integrates number popular classification methods together by model stacking, generalize traditional stacking method two-step improve diagnostic performance....
Background: Extensive clinical evidence suggests that a preventive screening of coronary heart disease (CHD) at an earlier stage can greatly reduce the mortality rate. We use 64 two-dimensional speckle tracking echocardiography (2D-STE) features and seven to predict whether one has CHD. Methods: develop machine learning approach integrates number popular classification methods together by model stacking, generalize traditional stacking method two-step improve diagnostic performance. Results:...
With the rapid development of quantum computers, algorithms have been studied extensively. However, tackling statistical problems are still lacking. In this paper, we propose a novel non-oracular adaptive search (QAS) method for best subset selection problems. QAS performs almost identically to naive but reduces its computational complexity from $O(D)$ $O(\sqrt{D}\log_2D)$, where $D=2^p$ is total number subsets over $p$ covariates. Unlike existing algorithms, does not require oracle...
Smoothing splines have been used pervasively in nonparametric regressions. However, the computational burden of smoothing is significant when sample size $n$ large. When number predictors $d\geq2$, cost for at order $O(n^3)$ using standard approach. Many methods developed to approximate spline estimators by $q$ basis functions instead ones, resulting a $O(nq^2)$. These are called selection methods. Despite algorithmic benefits, most require assumption that uniformly-distributed on...