A5019525818- Nausea and vomiting management
- Cholinesterase and Neurodegenerative Diseases
- Anesthesia and Pain Management
- Inflammatory mediators and NSAID effects
- Remote-Sensing Image Classification
- Remote Sensing and Land Use
- Sparse and Compressive Sensing Techniques
- Computational Drug Discovery Methods
- Neuroscience and Neuropharmacology Research
- Forecasting Techniques and Applications
- Spectroscopy and Chemometric Analyses
- Matrix Theory and Algorithms
- Traditional Chinese Medicine Analysis
- Advanced Optimization Algorithms Research
- Gaussian Processes and Bayesian Inference
- Financial Markets and Investment Strategies
- Metabolomics and Mass Spectrometry Studies
- Nephrotoxicity and Medicinal Plants
- Nicotinic Acetylcholine Receptors Study
- Alzheimer's disease research and treatments
- Advanced Multi-Objective Optimization Algorithms
- Sesquiterpenes and Asteraceae Studies
- Cholesterol and Lipid Metabolism
- Stock Market Forecasting Methods
- Berberine and alkaloids research
Institut Teknologi Kalimantan
2022
Emory University
2018-2021
University of Manchester
2020
Chinese University of Hong Kong
2002-2018
VA Palo Alto Health Care System
2014
Jensen Hughes (United States)
2011
Hong Kong University of Science and Technology
2006-2007
University of Hong Kong
2006-2007
University Grants Committee
2006
Weatherford College
2006
Abstract β Amyloid protein (Aβ) and acetylcholinesterase (AChE) have been shown to be closely implicated in the pathogenesis of Alzheimer's disease. In current study, we investigated effects bis(7)‐tacrine, a novel dimeric AChE inhibitor, on Aβ‐induced neurotoxicity primary cortical neurons. Bis(7)‐tacrine, but not other inhibitors, elicited marked reduction both fibrillar soluble oligomeric forms apoptosis as evidenced by chromatin condensation DNA specific fragmentation. Both nicotinic...
The excessive activation of the <i>N</i>-methyl-d-aspartate receptor (NMDAR)/nitric oxide (NO) pathway has been proposed to be involved in neuropathology various neurodegenerative disorders. In this study, NO was found mediate glutamate-induced excitotoxicity primary cultured neurons. Compared with synthase (NOS) inhibitor, <i>N</i><sup>G</sup>-monomethyl-l-arginine (l-NMMA), and NMDAR antagonist memantine, bis(7)-tacrine more potent reducing NO-mediated release caused by glutamate....
Here we report that bis(7)-tacrine, a novel acetylcholinesterase inhibitor, exerts neuroprotective effects by inhibition of nitric oxide synthase. In cortical neurons at 12 days in vitro, bis(7)-tacrine concentration-dependently reduced cell death induced glutamate, beta-amyloid and L-arginine, but not sodium nitroprusside. N-monomethyl-L-arginine, synthase also prevented the former three types last type cytotoxicity; however, scavengers blocked all these insults, indicating mediated...
Quantile regression is an effective technique to quantify uncertainty, fit challenging underlying distributions, and often provide full probabilistic predictions through joint learnings over multiple quantile levels. A common drawback of these regressions, however, \textit{quantile crossing}, which violates the desirable monotone property conditional function. In this work, we propose Incremental (Spline) Functions I(S)QF, a flexible efficient distribution-free estimation framework that...
We propose Multivariate Quantile Function Forecaster (MQF$^2$), a global probabilistic forecasting method constructed using multivariate quantile function and investigate its application to multi-horizon forecasting. Prior approaches are either autoregressive, implicitly capturing the dependency structure across time but exhibiting error accumulation with increasing forecast horizons, or sequence-to-sequence models, which do not exhibit accumulation, also typically model steps. MQF$^2$...
Manufacturing industries have objectives of improving productivity and economic growth while simultaneously reducing energy consumption lessening environmental impact. Energy is a vital resource for the manufacturing industry. However, impacts are major concern use in manufacturing. It important to control manage way consumed reduce costs carbon emissions. This research focused on emissions industry South Africa from 1999 2015. Index decomposition analysis (IDA) historical trends were used...
We present PNKH-B, a projected Newton-Krylov method for iteratively solving large-scale optimization problems with bound constraints. PNKH-B is geared toward situations in which function and gradient evaluations are expensive, the (approximate) Hessian only available through matrix-vector products. This commonly case parameter estimation, machine learning, image processing. In each iteration, uses low-rank approximation of to determine search direction construct metric used line search. The...
Related DatabasesWeb of Science You must be logged in with an active subscription to view this.Article DataHistorySubmitted: 28 May 2020Accepted: 03 June 2021Published online: 07 September 2021Keywordsbound-constrained optimization, projected Newton--Krylov methods, large-scale machine learning, parameter estimationAMS Subject Headings65K10Publication DataISSN (print): 1064-8275ISSN (online): 1095-7197Publisher: Society for Industrial and Applied MathematicsCODEN: sjoce3