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DEFORMATION OF COPOLYMER MICELLES INDUCED BY AMPHIPHILIC DIMER PARTICLES

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Chinese Journal of Polymer Science 2012年第2期30卷 164-172页

作者： Xiao-chun Qin chun-lai Ren National Laboratory of Solid State Microstructures Nanjing UniversityNanjing 210093China

Combining self-consistent-field theory and density-functional theory, we systematically study the deformation of copolymer micelles induced by the presence of amphiphilic dimer particles. Due to the amphiphilic nature, dimer particles tend to accumulate onto the interface of the copolymer micelle. With increasing concentration of the symmetric dimer particles, which are made of two identical spherical particles, the micelle deforms from the initial sphere to ellipse, dumbbell, and finally separates into two micelles. Furthermore, asymmetric dimer particles, composed by two particles with different sizes, are considered to investigate the influence of geometry of dimer particles on the deformation of the micelle. It is found that the micelle inclines to deform into dumbbell due to the additional curvature originating in the gathering of asymmetric dimer particles onto the interface of the micelle. The present study on the deformation of micelles is useful to understand the possible shape variation in the course of cell division/fusion.

关键词： Dimer particle Copolymer micelle Deformation Self consistent field theory Density function theory.

Supercoiled DNA Minicircles under Double-strand Breaks

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Chinese Journal of Polymer Science 2024年第9期42卷 1353-1359,I0007页

作者： Ye-Peng Qiao chun-lai Ren National Laboratory of Solid State Microstructures and Department of Physics Collaborative Innovation Center of Advanced MicrostructuresNanjing UniversityNanjing210093China

Understanding how supercoiled DNA releases intramolecular stress is essential for its functional ***,the molecular mechanism underlying the relaxation process remains insufficiently *** we employed MD simulations based on the oxDNA2 model to investigate the relaxation process of a 336-base pair supercoiled minicircular DNA under double-strand breaks with two fixed *** simulations show that the conformational changes in the DNA occur continuously,with intramolecular stress release happening abruptly only when the DNA chain traverses the breakage *** relaxation process is influenced not only by the separation distance between the fixed ends but also their ***,we observe an inhibitory effect on the relaxation characterized by small angles,where short terminal loops impede DNA conformational adjustments,preserving the supercoiled *** findings elucidate the intricate interplay between DNA conformational change,DNA motion and intramolecular stress release,shedding light on the mechanisms governing the relaxation of supercoiled DNA at the molecular level.

关键词： Supercoiled DNA DNA minicircle DNA relaxation oxDNA model MD simulation

A novel adjustable multiple cross-hexagonal search algorithm for fast block motion estimation

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2007年第8期8卷 1304-1310页

作者： XIE chun-lai CHEUNG chun-ho LIU Wei-zhong Department of Electronic Science and Technology Huazhong University of Science and Technology Wuhan 430074 China Hong Kong Institute of Technology Hong Kong China

In this paper,we propose a novel adjustable multiple cross-hexagonal search(AMCHS) algorithm for fast block motion estimation. It employs adjustable multiple cross search patterns(AMCSP) in the first step and then uses half-way-skip and half-way-stop technique to determine whether to employ two hexagonal search patterns(HSPs) subsequently. The AMCSP can be used to find small motion vectors efficiently while the HSPs can be used to find large ones accurately to ensure prediction quality. Simulation results showed that our proposed AMCHS achieves faster search speed,and provides better distortion performance than other popular fast search algorithms,such as CDS and CDHS.

关键词： Motion estimation Fast search algorithm Adjustable search patterns Threshold strategy Hexagonal search pattern

Mutual regulation between Hippo signaling and actin cytoskeleton

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Protein & Cell 2013年第12期4卷 904-910页

作者： Yurika Matsui Zhi-chun lai I ntercollege Graduate Degree Program in Cell and Developmental Biology The Pennsylvania State UniversityUniversity ParkPA 16802USA Department of Biology The Pennsylvania State UniversityUniversity ParkPA 16802USA Department of Biochemistry and Molecular Biology The Pennsylvania State UniversityUniversity ParkPA 16802USA

Hippo signaling plays a crucial role in growth control and tumor suppression by regulating cell proliferation,apoptosis,and *** Hippo signaling is regulated has been under extensive *** the past three years,an increasing amount of data have supported a model of actin cytoskeleton blocking Hippo signaling activity to allow nuclear accumulation of a downstream effector,Yki/Yap/*** the other hand,Hippo signaling negatively regulates actin cytoskeleton *** review p rovides insight on the mutual regulatory mechanisms between Hippo signaling and actin cytoskeleton for a tight control of cell behaviors during animal development,and points out outstanding questions for further investigations.

关键词： Hippo signaling actin cytoskeleton negative feedback growth control development

Recent progress in studies of factors that elicil pancreatic β-cell expansion

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Protein & Cell 2015年第2期6卷 81-87页

作者： Qiu Li Zhi-chun lai Shandong Provincial Hospital Affiliated to Shandong University Jinan 250021 ChinaA Department of Biology The Pennsylvania State University University Park PA 16802 USA Department of Biochemistry and Molecular Biology The Pennsylvania State University University Park PA 16802 USA

The loss of or decreased functional pancreatic β-cell is a major cause of type 1 and type 2 diabetes. Previous studies have shown that adult β-cells can maintain their ability for a low level of turnover through replication and neogenesis. Thus, a strategy to prevent and treat dia- betes would be to enhance the ability of β-cells to increase the mass of functionalβ-cells. Consequently, much effort has been devoted to identify factors that can effectively induce β-cell expansion. This review focuses on recent reports on small molecules and protein fac- tors that have been shown to promote β-cell expansion.

关键词： pancreatic islet β-cell cell proliferation/replication/expansion cell signaling

Structured condition numbers and statistical condition estimation for the LDU factorization

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Applied Mathematics(A Journal of Chinese Universities) 2020年第3期35卷 332-348页

作者： Mahvish Samar Aamir Farooq MU chun-lai College of Mathematics and Statistics Chongqing UniversityChongqing 401331China

In this article, we consider the structured condition numbers for LDU, factorization by using the modified matrix-vector approach and the differential calculus, which can be represented by sets of parameters. By setting the specific norms and weight parameters, we present the expressions of the structured normwise, mixed, componentwise condition numbers and the corresponding results for unstructured ones. In addition, we investigate the statistical estimation of condition numbers of LDU factorization using the probabilistic spectral norm estimator and the small-sample statistical condition estimation method, and devise three algorithms. Finally, we compare the structured condition numbers with the corresponding unstructured ones in numerical experiments.

关键词： LDU factorization Structured condition number Normwise condition number Mixed condition number Componentwise condition number

Mutation analysis of large tumor suppressor genes LATS1 and LATS2 supports a tumor suppressor role in human cancer

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Protein & Cell 2015年第1期6卷 6-11页

作者： Tian Yu John Bachman Zhi-chun lai Intercollege Graduate Degree Program in Molecular Cellular and Integrative Biosciences The Pennsylvania State University University Park PA 16802 USA Department of Biology The Pennsylvania State University University Park PA 16802 USA Department of Biochemistry and Molecular Biology The Pennsylvania State University University Park PA 16802 USA

In recent years, human cancer genome projects provide unprecedented opportunities for the discovery of cancer genes and signaling pathways that contribute to tumor development. While numerous gene mutations can be identified from each cancer genome, what these muta- tions mean for cancer is a challenging question to address, especially for those from less understood putative new cancer genes. As a powerful approach, in silico bioinformatics analysis could efficiently sort out mutations that are predicted to damage gene function. Such an analysis of human large tumor suppressor genes, LATS1 and LATS2, has been carried out and the results support a role of hLATS1/12 as negative growth regulators and tumor suppressors.

关键词： LATS1 & LATS2 hippo signaling cancergenome human cancer

Synthesis and Crystal Structure of Poly{diaqua[N-(2-hydroxybenzyl)- D,L- aspartate]cadmium(II)}

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Chinese Journal of Structural Chemistry 2005年第7期24卷 759-762,736页

作者： LOUBen-Yong YUANDa-Qiang HANLei WUBen-lai HONGMao-chun StateKeyLaboratoryofStructuralChemistry FujianInstituteofResearchontheStructureofMatterTheChineseAcademyofSciencesFuzhouFujian350002China

The title compound, [Cd(C11H11NO5)(H2O)2]n, crystallizes in orthorhombic, space group Pbca with a = 8.521(3), b = 10.154(3), c = 28.804(8) ?, V = 2492.2(13) ?3, Z = 8, C11H15NO7Cd, Mr = 385.64, Dc = 2.056 g/cm3, F(000) = 1536, μ(MoKα) = 1.786 mm-1, the final R = 0.0424 and wR = 0.0859 for 2026 observed reflections with I > 2σ(I). It has a one-dimensional zig-zag chain structure along the a axis driven by Cd–O coordination bonds. Three kinds of hydrogen bonds connect the chains along the b axis into a two-dimensional structure.

关键词： crystal structure metal coordination hydrogen bonding

Coupling Analysis of Multiple Machine Learning Models for Human Activity Recognition

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Computers, Materials & Continua 2024年第6期79卷 3783-3803页

作者： Yi-chun lai Shu-Yin Chiang Yao-Chiang Kan Hsueh-chun Lin Department of Public Health China Medical UniversityTaichung406040Taiwan Department of Information and Telecommunications Engineering Ming Chuan UniversityGui-ShanTaoyuan333Taiwan Department of Electrical Engineering Yuan Ze UniversityChung-Li32003Taiwan Department and Institute of Health Service Administrations China Medical UniversityTaichung406040Taiwan

Artificial intelligence(AI)technology has become integral in the realm of medicine and healthcare,particularly in human activity recognition(HAR)applications such as fitness and rehabilitation *** study introduces a robust coupling analysis framework that integrates four AI-enabled models,combining both machine learning(ML)and deep learning(DL)approaches to evaluate their effectiveness in *** analytical dataset comprises 561 features sourced from the UCI-HAR database,forming the foundation for training the ***,the MHEALTH database is employed to replicate the modeling process for comparative purposes,while inclusion of the WISDM database,renowned for its challenging features,supports the framework’s resilience and *** ML-based models employ the methodologies including adaptive neuro-fuzzy inference system(ANFIS),support vector machine(SVM),and random forest(RF),for data *** contrast,a DL-based model utilizes one-dimensional convolution neural network(1dCNN)to automate feature ***,the recursive feature elimination(RFE)algorithm,which drives an ML-based estimator to eliminate low-participation features,helps identify the optimal features for enhancing model *** best accuracies of the ANFIS,SVM,RF,and 1dCNN models with meticulous featuring process achieve around 90%,96%,91%,and 93%,*** analysis using the MHEALTH dataset showcases the 1dCNN model’s remarkable perfect accuracy(100%),while the RF,SVM,and ANFIS models equipped with selected features achieve accuracies of 99.8%,99.7%,and 96.5%,***,when applied to the WISDM dataset,the DL-based and ML-based models attain accuracies of 91.4%and 87.3%,respectively,aligning with prior research *** conclusion,the proposed framework yields HAR models with commendable performance metrics,exhibiting its suitability for integration into the healthcare services system through AI-driven applications.

关键词： Human activity recognition artificial intelligence support vector machine random forest adaptive neuro-fuzzy inference system convolution neural network recursive feature elimination