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Perspectives in human brain plasticity sparked by glioma invasion:from intraoperative(re)mappings to neural reconfigurations

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Neural Regeneration Research 2024年第5期19卷 947-948页

作者： Sam ng Hugues Duffau Guillaume Herbet Department of Neurosurgery Gui de Chauliac HospitalMontpellier University Medical CenterMontpellierFrance Institute of Functional Genomics University of MontpellierCNRSINSERMMontpellierFrance Praxiling Laboratory UMR5267CNRSPaul Valéry-Montpellier 3 UniversityMontpellierFrance

Exploring the aptitude of the human brain to compensate functional consequences of a lesion damaging its structural architecture is a key challenge to improve patient care in various neurological diseases,to optimize neuroscientifically-informed strategies of postlesional rehabilitation,and ultimately to develop innovative neuro-regenerative *** term‘plasticity’,initially referring to the intrinsic propensity of neurons to modulate their synaptic transmission in a learning situation,was progressively transposed to brain injury research and clinical ***,in the event of brain damage,adaptive mechanisms of compensation allow a partial reshaping of the structure and activities of the central nervous system,thus permitting to some extent the maintenance of brain functions.

关键词： plasticity figuration consequences

A Nonlocal Total Variation Model for Image Decomposition: Illumination and Reflectance

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Numerical Mathematics(Theory,Methods and Applications) 2014年第3期7卷 334-355页

作者： Wei Wang Michael K.ng Department of Mathematics Tongji UniversityShanghaiChina Department of Mathematics Hong Kong Baptist UniversityKowloon TongHong Kong

In this paper,we study to use nonlocal bounded variation(NLBV)techniques to decompose an image intensity into the illumination and reflectance *** considering spatial smoothness of the illumination component and nonlocal total variation(NLTV)of the reflectance component in the decomposition framework,an energy functional is *** establish the theoretical results of the space of NLBV functions such as lower semicontinuity,approximation and *** essential properties of NLBV functions are important tools to show the existence of solution of the proposed energy *** results on both grey-level and color images are shown to illustrate the usefulness of the nonlocal total variation image decomposition model,and demonstrate the performance of the proposed method is better than the other testing methods.

关键词： Image decomposition illumination reflectance nonlocal total variation iterative method

The Convex Relaxation Method on Deconvolution Model with Multiplicative Noise

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Communications in Computational Physics 2013年第4期13卷 1066-1092页

作者： Yumei Huang Michael ng Tieyong Zeng School of Mathematics and Statistics Lanzhou UniversityLanzhou 730000China Department of Mathematics Hong Kong Baptist UniversityKowloon TongHong Kong

In this paper,we consider variational approaches to handle the multiplicative noise removal and deblurring *** on rather reasonable physical blurring-noisy assumptions,we derive a new variational model for this *** the study of the basic properties,we propose to approximate it by a convex relaxation model which is a balance between the previous non-convex model and a convex *** relaxed model is solved by an alternating minimization *** examples are presented to illustrate the effectiveness and efficiency of the proposed method.

关键词： Alternating minimization convergence deblurring multiplicative noise non-convex model

Iterative Method on Well Bore Boundary in Numerical Modeling of Variably Saturated Flow

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Transactions of Tianjin University 2012年第2期18卷 104-111页

作者：王俊黄岁樑 Chiu on ng College of Environmental Science and Engineering Nankai University Department of Fundamental Subject Tianjin Institute of Urban Construction Department of Mechanical Engineering The University of Hong Kong

An iterative method was developed for incorporating the well bore boundary into the finite difference model of water flow in variably saturated porous media. Six cases were presented involving groundwater pumping or injection to demonstrate the advantages of the iterative method over the traditional method. For the iterative method, the total flux gradually approached the well discharge and the flux profile was non-uniform. And the iterative method took into account the variation of well bore water table. Compared to the traditional method, the iterative method can simulate the variably saturated flow caused by pumping or injection more realistically.

关键词： iterative method variably saturated flow well bore boundary flux profile

Kernel Density Estimation Based Multiphase Fuzzy Region Competition Method for Texture Image Segmentation

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Communications in Computational Physics 2010年第8期8卷 623-641页

作者： Fang Li Michael K.ng Department of Mathematics East China Normal UniversityShanghai 200241China Centre for Mathematical Imaging and Vision and Department of Mathematics Hong Kong Baptist UniversityKowloon TongHong Kong

In this paper,we propose a multiphase fuzzy region competition model for texture image *** the functional,each region is represented by a fuzzy membership function and a probability density function that is estimated by a nonparametric kernel density *** overall algorithm is very efficient as both the fuzzy membership function and the probability density function can be implemented *** apply the proposed method to synthetic and natural texture images,and synthetic aperture radar *** experimental results have shown that the proposed method is competitive with the other state-of-the-art segmentation methods.

关键词： Texture multiphase region competition kernel density estimation fuzzy membership function total variation

Alternating Minimization Method for Total Variation Based Wavelet Shrinkage Model

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Communications in Computational Physics 2010年第10期8卷 976-994页

作者： Tieyong Zeng Xiaolong Li Michael ng Department of Mathematics Hong Kong Baptist UniversityKowloon TongHong KongChina Institute of Computer Science&Technology Peking UniversityBeijing 100871China

In this paper,we introduce a novel hybrid variational model which generalizes the classical total variation method and the wavelet shrinkage *** alternating minimization direction algorithm is then *** also prove that it converges strongly to the minimizer of the proposed hybrid ***,some numerical examples illustrate clearly that the new model outperforms the standard total variation method and wavelet shrinkage method as it recovers better image details and avoids the Gibbs oscillations.

关键词： Alternating minimization convergence Gibbs oscillation wavelet shrinkage total variation

Replacing what’s lost: a new era of stem cell therapy for Parkinson’s disease

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Translational Neurodegeneration 2020年第1期9卷 10-19页

作者： Yong Fan Winanto Shi-Yan ng The Third Affiliated Hospital of Guangzhou Medical University Guangzhou 510150China Institute of Molecular and Cell Biology A^*STAR Research EntitiesSingapore 138673Singapore Yong Loo Lin School of Medicine(Physiology) National University of SingaporeSingapore 117456Singapore National Neuroscience Institute Singapore 308433Singapore

Background Stem cells hold tremendous promise for regenerative medicine because they can be expanded infinitely,giving rise to large numbers of differentiated cells required for *** cells can be derived from fetal sources,embryonic origins(embryonic stem cells or ESCs)or reprogrammed from adult cell types(induced pluripotent stem cells or iPSCs).One unique property of stem cells is their ability to be directed towards specific cell types of clinical interest,and can mature into functional cell types in *** transplantations of fetal or ESC-derived tissues are known to illicit a host immunogenic response,autologous transplantations using cell types derived from one’s own iPSCs eliminate risks of tissue rejection and reduce the need for ***,even with these benefits,cell therapy comes with significant hurdles that researchers are starting to *** this review,we will discuss the various steps to ensure safety,efficacy and clinical practicality of cell replacement therapy in neurodegenerative diseases,in particular,Parkinson’s *** body Parkinson’s disease(PD)results from a loss of dopaminergic neurons from the substantia nigra and is an ideal target for cell replacement *** trials using fetal midbrain material in the late 1980s have resulted in long term benefit for some patients,but there were multiple shortcomings including the non-standardization and quality control of the transplanted fetal material,and graft-induced dyskinesia that some patients experience as a *** the other hand,pluripotent stem cells such as ESCs and iPSCs serve as an attractive source of cells because they can be indefinitely cultured and is an unlimited source of *** cell technologies and our understanding of the developmental potential of ESCs and iPSCs have deepened in recent years and a clinical trial for iPSC-derived dopaminergic cells is currently undergoing for PD patients in *** this focused review,w

关键词： Parkinson’s disease Induced pluripotent stem cells Cell therapy Regenerative medicine

LOW-RANK MATRIX COMPLETION WITH POISSON OBSERVATIONS VIA NUCLEAR NORM AND TOTAL VARIATION CONSTRAINTS

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Journal of Computational Mathematics 2024年第6期42卷 1427-1451页

作者： Duo Qiu Michael K.ng Xiongjun zh.ng School of Mathematics and Physics Wuhan Institute of TechnologyWuhan 430205China Department of Mathematics Hong Kong Baptist UniversityKowloon TongHong Kong SARChina School of Mathematics and Statistics and Hubei Key Laboratory of Mathematical Sciences Central China Normal UniversityWuhan 430079China

In this paper,we study the low-rank matrix completion problem with Poisson observations,where only partial entries are available and the observations are in the presence of Poisson *** propose a novel model composed of the Kullback-Leibler(KL)divergence by using the maximum likelihood estimation of Poisson noise,and total variation(TV)and nuclear norm *** the nuclear norm and TV constraints are utilized to explore the approximate low-rankness and piecewise smoothness of the underlying matrix,*** advantage of these two constraints in the proposed model is that the low-rankness and piecewise smoothness of the underlying matrix can be exploited simultaneously,and they can be regularized for many real-world image *** upper error bound of the estimator of the proposed model is established with high probability,which is not larger than that of only TV or nuclear norm *** the best of our knowledge,this is the first work to utilize both low-rank and TV constraints with theoretical error bounds for matrix completion under Poisson *** numerical examples on both synthetic data and real-world images are reported to corroborate the superiority of the proposed approach.

关键词： Low-rank matrix completion Nuclear norm Total variation Poisson observations

Geek Talents:Who are the Top Experts on GitHub and Stack Overflow?

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Computers, Materials & Continua 2019年第8期61卷 465-479页

作者： Yijun Tian Waii ng Jialiang Cao Suzanne McIntosh New York University Courant Institute of Mathematical SciencesNew York10012USA

In the field of Computer Science,software developers need to use a wide array of social collaborative platforms for learning and *** most popular ones are GitHub and Stack *** platforms only support search queries to extract relevant repository information from GitHub,or questions and answers from Stack *** ignores the valuable coder-related part-who are the top experts(geek talents)in a specific area?This information is important to companies,open source projects,and to those who want to learn from an expert role ***,how to find the right developers is quite a crucial yet challenging *** of the current works mainly focus on recommending experts in a particular software engineering task and ignore the relationship between developers within different *** this paper,we propose a novel technique that automatically identifies geek talents from GitHub,Stack Overflow,and across both *** results show that our work performs well at recommending proper developers in diverse areas.

关键词： Developer recommendation collaborative filtering stack overflow GitHub