A5103127139- Morphological variations and asymmetry
- Kruppel-like factors research
- Face and Expression Recognition
- Advanced Statistical Methods and Models
- Bayesian Methods and Mixture Models
- Epigenetics and DNA Methylation
- Gaussian Processes and Bayesian Inference
- Ferroptosis and cancer prognosis
- Genetic and phenotypic traits in livestock
- Flood Risk Assessment and Management
- Climate variability and models
- Precipitation Measurement and Analysis
- Statistical Methods and Inference
- Cell Adhesion Molecules Research
- Genetic Syndromes and Imprinting
- Sensory Analysis and Statistical Methods
- Cancer-related gene regulation
- Rangeland Management and Livestock Ecology
- Indoor and Outdoor Localization Technologies
- Neuroinflammation and Neurodegeneration Mechanisms
- S100 Proteins and Annexins
- Radiative Heat Transfer Studies
- Sparse and Compressive Sensing Techniques
- Statistical and Computational Modeling
- Eicosanoids and Hypertension Pharmacology
Shandong Normal University
2023
Charles Sturt University
2016-2019
University of Virginia
2013
Neurological Surgery
2013
Thomas Jefferson University
2012-2013
Mohammad Ali Jinnah University
2012
Pediatric Nephrology of Alabama
2009
University of Michigan–Ann Arbor
2009
University of Pittsburgh
2009
University of Alabama
2009
Little is known about vascular smooth muscle cell (SMC) phenotypic modulation in the cerebral circulation or pathogenesis of intracranial aneurysms. Tumor necrosis factor-alpha (TNF-α) has been associated with aneurysms, but potential mechanisms are unclear. Cultured rat SMCs overexpressing myocardin induced expression key SMC contractile genes (SM-α-actin, SM-22α, myosin heavy chain), while dominant-negative cells suppressed expression. treatment inhibited this phenotype and...
Fatty acid nitroalkenes are endogenously generated electrophilic byproducts of nitric oxide and nitrite-dependent oxidative inflammatory reactions. Existing evidence indicates support posttranslational protein modifications transcriptional activation that promote the resolution inflammation.The aim this study was to assess whether in vivo administration a synthetic nitroalkene could elicit antiinflammatory actions using murine model vascular injury.The (21 days) nitro-oleic (OA-NO(2))...
Background The role of smooth muscle cell (SMC) phenotypic modulation in the cerebral circulation and pathogenesis stroke has not been determined. Cigarette smoke is a major risk factor for atherosclerosis, but potential mechanisms are unclear, its SMC established. Methods Results In cultured vascular SMCs, exposure to cigarette extract (CSE) resulted decreased promoter activity mRNA expression key contractile genes (SM-α-actin, SM-22α, SM-MHC) transcription myocardin dose-dependent manner....
INTRODUCTION: Alterations in TNF-a expression have been associated with cerebral aneurysms, but a direct role aneurysm formation and rupture has not established. METHODS: Aneurysms were induced mice by combination of hypertension single stereotactic injection elastase into the right basal cistern. To test formation, aneurysms knock-out pretreated synthesized inhibitor 3,6'dithiothalidomide (DTH). Aneurysmal was detected alteration neurological symptoms confirmed presence intracranial...
In this paper, we present a novel Bayesian classification framework of the matrix variate Bingham distributions with inclusion its normalizing constant and develop consistent general parametric modeling based on Grassmann manifolds. To calculate constants model, paper extends method saddle-point approximation (SPA) to new setting. Furthermore, it employs standard theory maximum likelihood estimation (MLE) evaluate involved parameters in used probability density functions. The validity...
Extreme rainfall events are occasional, and understanding their intensity frequency is important for long-term planning public safety. The current study aims to investigate the stability of extreme precipitation in different regions Pakistan, independence uniformity occurrence. A analysis (RFA) was conducted based on information from 8 weather stations namely, distribution moments L annual maximum Pakistan were investigated; Using goodness-of-fit criteria, determined possible precipitation....
Cigarette smoke is one of the most significant environmental risk factor for cerebral aneurysm formation. Inflammation, matrix degradation and vascular smooth muscle cell phenotypic modulation are thought to be important in pathology yet molecular pathogenic mechanisms unknown. We investigated role cigarette producing inflammation cells (VSMCs) focusing on a potential pivotal transcription factor, KLF4. Methods: Rat VSMCs were treated with Smoke Extract (CSE) at 4 40 ug/ml 4, 24 48 hours....
Inflammation and vascular smooth muscle cell (VSMC) phenotypic modulation appears to be important in cerebral aneurysm formation/progression yet molecular pathological mechanisms remain unknown. We investigated a potential direct role of Tumor Necrosis Factor-alpha (TNF-alpha) mediated via the transcription factor, KLF4, inducing VSMC inflammation vitro vivo, which may critical pathogenesis aneurysms. Methods: Rat VSMCs were treated with TNF-alpha (5 50 ng/ml) for 24 hours. The expression...
Matrix manifolds such as Stiefel and Grassmann have been widely used in modern computer vision. This paper is concerned with the problem of classifying manifold-valued data, based on maximum likelihood estimation for parametric probability density functions defined manifolds. By using a new way computing normalisation constants matrix Langevin distribution function, data manifold, Fisher-Bingham function we proposed simple to estimate parameters demonstrated real world datasets that method...
Our main focus in this paper is on the matrix-variate Fisher distribution for product case of Stiefel manifolds and perform density estimation or classification via straightforward way Maximum Likelihood Estimation (MLE) parameter. The novelty our proposed method its strict dependency normalisation constant appearing parametric models, i.e., we have implemented matrix function with included a more general context manifolds. An accurate calculating log-likehood based normalising...
Our focus in this work is on the practical applicability of matrix variate Fisher-Bingham model for statistical inferences via Maximum Likelihood Estimation (MLE) technique using simple Bayesian classifier. The practicability such parametric models high dimensional data (e.g., manifold valued data) remained a big hurdle since long i.e., mainly due to difficult normalising constant naturally appear with them. We applied method Saddle Point Approximation (SPA) calculating corresponding and...
In this paper we focus on Maximum Likelihood Estimation (MLE) technique for classification Grassmann manifolds using matrix variate Bingham density function. Unlike the conventional techniques multivariate distributions in existing literature e.g., Markov chain Monte Carlo (MCMC) sampling methods, non-parametric Expectation Maximisation (EM) iterative methods or exact demonstrate a new way of parametric modelling that is strictly based normalising constant. The evaluation constant...
Applicability of the standard Maximum Likelihood Estimation technique for utilising parametric models to real World applications has been a hurdle due difficult calculation normalising constant since decades. The aim this paper is therefore fill some gape by demonstrating simple (MLE) classification on Grassmann manifolds sing matrix-variate Bingham distributional model. most challenging task in working with such high dimensional matrix based constant. For calculating values constants we...
Our focus in this paper is a simple Bayesian classification on generalised Scheiddegger-Watson distribution using standard Maximum Likelihood Estimation (MLE). The main barrier working with or matrix variate distributions via MLE the normalising constant that always appears them. We apply Taylor expansion for approximating corresponding matrix-based and then implement our proposed approach Grassmann manifold. evaluate effectiveness of method real world data against state art recent...
We demonstrate the standard approach of Maximum Likelihood Estimation (MLE) for practicability Grassmann Angular Central Gaussian (GACG) distribution by using manifold. Our main concern is then on applicability GACG computer vision application e.g., classification arbitrarily high dimensional Grassmannian space. show numerical experiments that implementation proposed variate parametric model via MLE simple Bayesian classifier directly related to accurate calculation normalising constant...
Cerebral Vascular Smooth Muscle Cell (VSMC) phenotypic modulation appears to play an important role in cerebral aneurysm formation and progression, yet the molecular mechanisms involved remain unknown. We investigated of inflammatory cytokine, Tumor Necrosis Factor-alpha (TNF-α) cigarette smoke directly mediating VSMC. hypothesize that this may, part, occur through binding transcription factor, KLF4, promoter region SM22alpha, thereby downregulating VSMC differentiation contractile genes....
Background: Although the underlying pathophysiology involved in aneurysm formation and progression is unknown, both cigarette smoke alterations inflammatory cascade play a key role. We investigated role of TNF-α extract (CSE) induction an phenotype cerebral vascular smooth muscle cells (VSMC) through regulation Monocyte Chemoattrant Protein-1 (MCP-1) Kruppel Like Factor-4 (KLF4). Methods: Cultured VSMC from rat Circle Willis were treated with increasing doses CSE. siRNA specific to KLF4 was...
Objectives: Cigarette smoke is one of the most important environmental factors associated with cerebral aneurysm formation and progression. causes phenotypic modulation Cerebral Vascular Smooth Muscle Cells (VSMCs) which considered an underlying mechanism in formation/progression. We studied epigenetic changes caused by Smoke Extract (CSE) VSMC differentiation marker genes. Methods: Rat VSMCs were treated CSE at 40 ug/ml (optimal dosage based on preliminary data) dissolved HEPES buffer...