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Transdermal drug delivery systems in diabetes management: A review

Asian Journal of Pharmaceutical Sciences 2020年第1期15卷 13-25页

作者： li ching ng Manish Gupta School of Pharmacy Monash University MalaysiaBandar Sunway 47500Malaysia Faculty of Pharmacy DIT UniversityDehradun 248009India

Diabetes mellitus is a chronic disease in which there is an insufficient production of insulin by the pancreas, or the insulin produced is unable to be utilized effectively by the body. Diabetes affects more than 415 million people globally and is estimated to strike about 642 million people in 2040. The WHO reported that diabetes will become the seventh biggest cause of mortality in 2030. Insulin injection and oral hypoglycemic agents remain the primary treatments in diabetes management. These often present with poor patient compliance. However, over the last decade, transdermal systems in diabetes management have gained increasing attention and emerged as a potential hope in diabetes management owing to the advantages that they offer as compared to invasive injection and oral dosage forms. This review presents the recent advances and developments in transdermal research to achieve better diabetes management. Different technologies and approaches have been explored and applied to the transdermal systems to optimize diabetes management. Studies have shown that these transdermal systems demonstrate higher bioavailability compared to oral administration due to the avoidance of first-pass hepatic metabolism and a sustained drug release pattern. Besides that, transdermal systems have the advantage of reducing dosing frequency as drugs are released at a predetermined rate and control blood glucose level over a prolonged time, contributing to better patient compliance. In summary, the transdermal system is a field worth exploring due to its significant advantages over oral route in administration of antidiabetic drugs and biosensing of blood glucose level to ensure better clinical outcomes in diabetes management.

关键词： Transdermal Diabetes Antidiabetic Insulin Drug delivery system

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ON NETWORK-BASED KERNEL METHODS FOR PROTEIN-PROTEIN INTERACTIONS WITH APPliCATIONS IN PROTEIN FUNCTIONS PREDICTION

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Journal of Systems Science & Complexity 2010年第5期23卷 917-930页

作者： limin li Waiki ching Yatming CHAN Hiroshi MAMITSUKA Department of Mathematics Xi'an Jiaotong University Xi'an 710049 China Advanced Modeling and Applied Computing Laboratory Department of Mathematics The University of Hong Kong Pokfularn Road Hong Kong China Bioinformatics Center Institute for Chemical Research Kyoto University Gokasho Uji Kyoto 611-0011 Japan

Predicting protein functions is an important issue in the post-genomic era. This paper studies several network-based kernels including local linear embedding （LLE） kernel method, diffusion kernel and laplacian kernel to uncover the relationship between proteins functions and protein-protein interactions （PPI）. The author first construct kernels based on PPI networks, then apply support vector machine （SVM） techniques to classify proteins into different functional groups. The 5-fold cross validation is then applied to the selected 359 GO terms to compare the performance of different kernels and guilt-by-association methods including neighbor counting methods and Chi-square methods. Finally, the authors conduct predictions of functions of some unknown genes and verify the preciseness of our prediction in part by the information of other data source.

关键词： Diffusion kernel kernel method Laplacian kernel local linear embedding (LLE) kernel protein function prediction support vector machine.

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Generic user revocation systems for attribute-based encryption in cloud storage

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Frontiers of Information Technology & Electronic Engineering 2018年第11期19卷 1362-1384页

作者： Genlang CHEN Zhiqian XU Hai JIAng Kuan-ching li Institute of Ningbo Technology Zhejiang University Independent Scholar Department of Computer Science Arkansas State University Department of Computer Science and Information Engineering Providence University

Cloud-based storage is a service model for businesses and individual users that involves paid or free storage resources. This service model enables on-demand storage capacity and management to users anywhere via the Internet. Because most cloud storage is provided by third-party service providers, the trust required for the cloud storage providers and the shared multi-tenant environment present special challenges for data protection and access control. Attribute-based encryption(ABE) not only protects data secrecy, but also has ciphertexts or decryption keys associated with fine-grained access policies that are automatically enforced during the decryption process. This enforcement puts data access under control at each data item level. However, ABE schemes have practical limitations on dynamic user revocation. In this paper, we propose two generic user revocation systems for ABE with user privacy protection, user revocation via ciphertext re-encryption(UR-CRE) and user revocation via cloud storage providers(UR-CSP), which work with any type of ABE scheme to dynamically revoke users.

关键词： Attribute-based.encryption Generic user revocation User privacy Cloud storage Access control

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Study of a Dual-sided Multiple Fans System with a Piezoelectric Actuator

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Journal of Thermal Science 2015年第5期24卷 432-441页

作者： Hsiao-Kang Ma Yi-Tseng li ching-Po lin Department of Mechanical Engineering Taiwan University

A dual-sided multiple fans system with a piezoelectric actuator （＂D-MFPA＂）, which is able to drive eight passive vibrating fans and provide two-directional air flows by using only one piezoelectric actuator, has been investigated in this study. Moreover, two types of the fan designs, viz. magnetic fan （MF） and composite magnetic fan （CMF） were also explored. In the investigation of the MF, the results indicated that the resonance frequency of the D-MFPA increased from 27.6 Hz to 66 Hz as the length of the carbon fiber plate （L） decreased from 55 mm to 35 mm. It also decreased the amplitude of the D-MFPA from 12.4mm to 4.8 mm. For CMF, the results showed that the resonance frequency decreased when the length of the Mylar plate （Et） increased, and the maximum decrease was from 66 Hz to 45 Hz when L= 35 mm and Er= 30 mm. Dimensionless heat convection number （MD_MFPA） was defined to describe and quantify the improvement in the thermal performance. The results showed that the optimal MO-MFPA of the single piezoelectric fan was 1,58 for cooling one heat source. By contrast, under the same power consumption, the D-MFPA not only cooled two heat sources but also displayed better thermal performance.

关键词： D-MFPA resonance frequency composite magnetic fan thermal performance

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Numerical simulation of gas-liquid two-phase flow impacting fixed structure by CLSVOF/IB method based on OpenFOAM

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Journal of Hydrodynamics 2021年第6期33卷 1176-1189页

作者： Wen-kang Meng ching-hao Yu Jia li Rui-dong An State Key Laboratory of Hydraulics and Mountain River Engineering College of Water Resource and HydropowerSichuan UniversityChengdu 610065China

In this paper,a coupled level set and volume of fluid,immersed boundary(CLSVOF/IB)method is proposed and implemented into the interFoam solver of the OpenFOAM to simulate the gas-liquid two-phase flows,involving the gas-liquid and fluid-structure *** the volume of fluid(VOF)method,the multidimensional universal limiter with explicit solution(MULES)approach is used to restrain the volume *** approach for calculating the grid characteristic size for the level set(LS)initial function and the re-initialization equation is proposed in order to make it more applicable to non-uniform grids in the finite volume *** the proposed CLSVOF method,the continuous LS function is used to calculate the gas-liquid interface curvature so that the surface tension term can be calculated *** the immersed boundary(IB)method proposed in this paper,a virtual forcing term is introduced in the momentum equation to deal with the fluid-structure interface by defining a solid volume fraction,which is convenient for the three-dimensional numerical *** the present flow field solver,an improved scheme of the velocity predictor loop of the PIMPLE framework is also *** benchmark cases:the Zalesak’s notched disk and a circular bubble at equilibrium,are simulated first to examine the accuracy of the present CLSVOF ***,the effects of several gas-liquid two-phase flows on different fixed structures are *** simulation results are in good agreement with the published numerical and experimental results.

关键词： Volume of fluid(VOF)method level set(LS)method immersed boundary method gas-liquid interface fluid-structure interface

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Topological non-Hermitian skin effect

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Frontiers of physics 2023年第5期18卷 1-45页

作者： Rijia lin Tommy Tai linhu li ching Hua Lee Guangdong Provincial Key Laboratory of Quantum Metrology and Sensing&School of Physics and Astronomy Sun Yat-Sen University(Zhuhai Campus)Zhuhai 519082China Department of Physics Massachusetts Institute of TechnologyCambridgeMA 02139USA Department of Physics National University of SingaporeSingapore117542Singapore

This article reviews recent developments in the non-Hermitian skin effect(NHSE),particularly on its rich interplay with *** review starts off with a pedagogical introduction on the modified bulk-boundary correspondence,the synergy and hybridization of NHSE and band topology in higher dimensions,as well as,the associated topology on the complex energy plane such as spectral winding topology and spectral graph *** which,emerging topics are introduced such as non-Hermitian criticality,dynamical NHSE phenomena,and the manifestation of NHSE beyond the traditional linear non-interacting crystal lattices,particularly its interplay with quantum many-body ***,we survey the recent demonstrations and experimental proposals of NHSE.

关键词： non-Hermitian skin effect topological phases

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A Holographic Diffraction Label Recognition Algorithm Based on Fusion Double Tensor Features

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Computer Systems Science & Engineering 2021年第9期38卷 291-303页

作者： li li Chen Cui Jianfeng Lu Shanqing Zhang ching-Chun Chang Hangzhou Dianzi University Hangzhou310018China Zhejiang Police College Hangzhou310018China University of Warwick CoventryCV47ALUK

As an efficient technique for anti-counterfeiting,holographic diffraction labels has been widely applied to various *** to their unique feature,traditional image recognition algorithms are not ideal for the holographic diffraction label *** a tensor preserves the spatiotemporal features of an original sample in the process of feature extraction,in this paper we propose a new holographic diffraction label recognition algorithm that combines two tensor *** HSV(Hue Saturation Value)tensor and the HOG(Histogram of Oriented Gradient)tensor are used to represent the color information and gradient information of holographic diffraction label,***,the tensor decomposition is performed by high order singular value decomposition,and tensor decomposition matrices are *** into consideration of the different recognition capabilities of decomposition matrices,we design a decomposition matrix similarity fusion strategy using a typical correlation analysis algorithm and projection from similarity vectors of different decomposition matrices to the PCA(Principal Component Analysis)sub-space,then,the sub-space performs KNN(K-Nearest Neighbors)classification is *** effectiveness of our fusion strategy is verified by *** double tensor recognition algorithm complements the recognition capability of different tensors to produce better recognition performance for the holographic diffraction label system.

关键词： Label recognition holographic diffraction fusion double tensor matrix similarity

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Numerical Simulation of Tsunami-like Wave Impacting on Breakwater by CLSVOF/IB Method

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China Ocean Engineering 2021年第5期35卷 676-686页

作者： AN Rui-dong JIAng Da-peng YU ching-hao li Yu-long State Key Laboratory of Hydraulics and Mountain River Engineering Sichuan UniversityChengdu 610065China School of Marine Engineering and Technology Sun Yat-Sen UniversityZhuhai 519082China Technology Centre for Offshore and Marine Singapore(TCOMS)Singapore Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai) Zhuhai 519082China

In the current study,the treatment of air/water interface has been made on dam-break induced tsunami-like wave by the Coupled Level Set and Volume of Fluid(CLSVOF)three-dimensional *** overall CLSVOF method adopts a Tangent of Hy-perbola for INterface Capturing(THINC)scheme with the Weighted linear Interface Calculation(WliC)and Level Set(LS)function for capturing interface and calculating normal vector,*** far as THINC/WliC scheme is concerned,since the convection problem of the VOF function can be solved well,the numerical diffusion can be *** spatial terms in the LS equation were discretized by the Optimized Compact Reconstruction Weighted Essentially Non-Oscillatory(OCRWENO)scheme with fourth-order accuracy,which can avoid false oscillation of LS *** combining CLSVOF method with Immersed Boundary(IB)method,the simulation of dam-break induced tsunami-like wave impacting on a stationary breakwater can be carried *** sensitivity,mass error and free-surface profile are first calculated for the tsunami-like wave problem to validate the proposed numerical algorithm,which shows excellent agreement between the numerical results and experimental ***-like waves with varied tailgater levels are then *** of velocity magnitude,free-surface profile and wave elevation of the tsunami-like wave are conducted to investigate its dynamics and kinematics.

关键词： dam-break tsunami-like bore CLSVOF method immersed boundary method breakwater

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On Using Physico-Chemical Properties of Amino Acids in String Kernels for Protein Classification via Support Vector Machines

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Journal of Systems Science & Complexity 2015年第2期28卷 504-516页

作者： li limin AOKI-KINOSHITA Kiyoko F ching Wai-Ki JIAng Hao Institute of Information and System Science Xi'an Jiaotong University Department of Bioinformatics Faculty of EngineeringSoka University Advanced Modeling and Applied Computing Laboratory Department of MathematicsThe University of Hong Kong Department of Mathematics School of InformationRenmin University of China

String kernels are popular tools for analyzing protein sequence data and they have been successfully applied to many computational biology problems. The traditional string kernels assume that different substrings are independent. However, substrings can be highly correlated due to their substructure relationship or common physico-chemical properties. This paper proposes two kinds of weighted spectrum kernels： The correlation spectrum kernel and the AA spectrum kernel. We evMuate their performances by predicting glycan-binding proteins of 12 glycans. The results show that the correlation spectrum kernel and the AA spectrum kernel perform significantly better than the spectrum kernel for nearly all the 12 glycans. By comparing the predictive power of AA spectrum kernels constructed by different physico-chemical properties, the authors can also identify the physico- chemical properties which contributes the most to the glycan-protein binding. The results indicate that physico-chemical properties of amino acids in proteins play an important role in the mechanism of glycamprotein binding.

关键词： AAindex AA spectrum kernel correlation spectrum kernel physico-chemical properties string kernel weighted spectrum kernel.

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Correlating the interplanetary factors to distinguish extreme and major geomagnetic storms

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Earth and Planetary Physics 2021年第2期5卷 180-186页

作者： Ragini Balachandran li-Jen Chen Shan Wang Mei-ching Fok Cornell University IthacaNY 14853USA NASA Goddard Space Flight Center GreenbeltMD 20770USA Department of Astronomy University of MarylandCollege ParkMD 20742USA

We investigate the correlation between Disturbance Storm Time(Dst)characteristics and solar wind conditions for the main phase of geomagnetic storms,seeking possible factors that distinguish extreme storms(minimum Dstnge of Dst during a storm’s main phase(ΔDst/Δt)and the storm’s minimum Dst,indicating a fasterΔDst/Δt as storm intensity *** events add a new regime toΔDst/Δt,the hourly time derivative of Dst(dDst/dt),and sustained periods of large amplitudes for southward interplanetary magnetic field Bz and solar wind convection electric field *** find that Ey is a less efficient driver of dDst/dt for extreme storms compared to major storms,even after incorporating the effects of solar wind pressure and ring current *** minimum Dst is correlated with minimum Bz,we observe a similar divergence,with extreme storms tending to have more negative Dst than the trend predicted on the basis of major *** results enable further improvements in existing models for storm predictions,including extreme events,based on interplanetary measurements.

关键词： extreme geomagnetic storm Dst prediction solar wind driving major storms

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