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Interaction of major facilitator superfamily domain containing 2A with the blood-brain barrier

Neural Regeneration Research 2025年第8期20卷 2133-2152页

作者： Yilun Ma Taiwei Dong Fei Luan Juanjuan Yang feng miao Peifeng Wei College of Pharmacy and First Clinical Medical College Shaanxi University of Chinese MedicineXianyangShaanxi ProvinceChina National Drug Clinical Trial Agency The Second Affiliated Hospital of Shaanxi University of Chinese Medicine/Xixian New District Central HospitalXi′anShaanxi ProvinceChina

The functional and structural integrity of the blood-brain barrier is crucial in maintaining homeostasis in the brain microenvironment;however,the molecular mechanisms underlying the formation and function of the blood-brain barrier remain poorly *** major facilitator superfamily domain containing 2A has been identified as a key regulator of blood-brain barrier *** plays a critical role in promoting and maintaining the formation and functional stability of the blood-brain barrier,in addition to the transport of lipids,such as docosahexaenoic acid,across the blood-brain ***,an increasing number of studies have suggested that major facilitator superfamily domain containing 2A is involved in the molecular mechanisms of blood-brain barrier dysfunction in a variety of neurological diseases;however,little is known regarding the mechanisms by which major facilitator superfamily domain containing 2A affects the blood-brain *** paper provides a comprehensive and systematic review of the close relationship between major facilitator superfamily domain containing 2A proteins and the blood-brain barrier,including their basic structures and functions,cross-linking between major facilitator superfamily domain containing 2A and the blood-brain barrier,and the in-depth studies on lipid transport and the regulation of blood-brain barrier *** comprehensive systematic review contributes to an in-depth understanding of the important role of major facilitator superfamily domain containing 2A proteins in maintaining the structure and function of the blood-brain barrier and the research progress to *** will not only help to elucidate the pathogenesis of neurological diseases,improve the accuracy of laboratory diagnosis,and optimize clinical treatment strategies,but it may also play an important role in prognostic *** addition,the effects of major facilitator superfamily domain containing 2A on blood-brain barrier lea

关键词： blood-brain barrier(BBB) caveolin-1 central nervous system docosahexaenoic acid endothelial cells lysophosphatidylcholine major facilitator superfamily domain containing 2A(MFSD2A) transcytosis

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State Classification and Motion Description for the Lower Extremity Exoskeleton SJTU-EX

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Journal of Bionic Engineering 2014年第2期11卷 249-258页

作者： Yunjie miao feng Gao Dalei Pan State Key Laboratory of Mechanical System and Vibration Shanghai Jiao Tong University Shanghai 200240 P. R. China

A lower extremity exoskeleton, SJTU-EX, is proposed, which mainly aims to help soldiers and workers to support a payload in motions. To solve the issues of the exoskeleton-environment and exoskeleton-human interactions, four types of foot contact are proposed based on their different kinematic characteristics. By the combination of single leg states, sixteen exo- skeleton states are presented using a series of meaningful notations from the topological point of view. The generalized function set （GF set） theory is employed to achieve the kinematic characteristics of the end effectors in different states. Moreover six mathematical formulations of the dynamics of the exoskeleton and its interactions with the human wearer are developed for different exoskeleton states. The applicability and potential of the proposed classification method are demonstrated by analyzing common lower limb motions, which are described concisely by a sequence of notations. Finally, a new concept of characteristic state is put forward to uniquely indicate the type of motion.

关键词： exoskeleton topological states lower limb motions dynamics GF set

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Compound Pendulum Modeling and Resonant Frequency Analysis of the Lower Limbs for the Wearer and Exoskeleton

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Journal of Bionic Engineering 2015年第3期12卷 372-381页

作者： Yunjie miao feng Gao Dalei Pan State Key Laboratory of Mechanical System and Vibration Shanghai Jiao Tong University Shanghai China

An innovative lower extremity exoskeleton with hybrid leg structures is proposed in this paper. The compound pendulum model is applied to analyze the swing motion during walking for the wearer and the exoskeleton respectively. The expression of the resonant period for the human lower limb is obtained and the optimum stride frequency, at which the energy expenditure for walking is the least, coincides with the stride frequency of strolling well. As for the exoskeleton, the relationship between the inertial parameters and the resonant period of the hybrid leg is established. To minimize the walking energy cost for the exoskeleton, the inertial parameter design must guarantee that the resonant period of the hybrid leg coincides with the actual stride period of the wearer. The resonant period of the hybrid leg is also influenced by the scissor angle which determines the distance between the hip and the ankle of the lower extremity exoskeleton （SJTU-EX） and can be adjusted to match different stride frequencies of various motions by the proper scissor angle planning.

关键词： compound pendulum exoskeleton inertial parameter stride frequency

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On Periodic Oscillation and Its Period of a Circadian Rhythm Model

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Communications on Applied Mathematics and Computation 2022年第3期4卷 1131-1157页

作者： miao feng Chen Zhang Department of Mathematics Shanghai Normal UniversityShanghai 200234China

We theoretically study periodic oscillation and its period of a circadian rhythm model of Neurospora and provide the conditions for the existence of such a periodic oscillation by the theory of competitive dynamical *** present the exact expression of the unique equilibrium in terms of parameters of system,we divide them into eleven classes for the Hill coefficient n=1 or n=2,among seven classes of which nontrivial periodic oscillations *** simulations are made among the seven classes and the models with the Hill coefficient n=3 or n=4 to reveal the influence of parameter variation on periodic oscillations and their *** results show that their periods of the periodic oscillations are approximately 21.5 h,which coincides with the known experiment result observed in constant darkness.

关键词： Rhythm model Km-type competition system Periodic oscillation Period

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Low-resistance, high-force, and large-ROM fabric-based soft elbow exosuits with adaptive mechanism and composite bellows

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Science China(Technological Sciences) 2023年第1期66卷 24-32页

作者： HUANG WeiCheng feng miao YANG DeZhi GU GuoYing Robotics Institute School of Mechanical EngineeringShanghai Jiao Tong UniversityShanghai 200240China State Key Laboratory of Mechanical System and Vibration Shanghai Jiao Tong UniversityShanghai 200240China Meta Robotics Institute Shanghai Jiao TongUniversityShanghai 200240China

Due to the lightweight and compliance, fabric-based pneumatic exosuits are promising in the assistance and rehabilitation of elbow impairments. However, existing elbow exosuits generally suffer from remarkable mechanical resistance on the flexion of the elbow, thus limiting the output force, range of motion(ROM), and comfortability. To address these challenges, we develop a fabric-based soft elbow exosuit with an adaptive mechanism and composite bellows in this work. With the elbow kinesiology considered, the adaptive mechanism is fabricated by sewing the interface of the exosuit into spring-like triangle pleats, following the profile of the elbow to elongate or contract when the elbow flexes or extends. The composite bellows are implemented by further sealing a single blade of bellows into two branches to enhance the output force. Based on these structural features, we characterize the mechanical performance of different soft elbow exosuits: exosuit with normal bellows-NB, exosuit with adaptive mechanism and normal bellows-AMNB, exosuit with adaptive mechanism and composite bellows-AMCB. Experimental results demonstrate that by comparing with NB, the mechanical resistance of AMNB and AMCB decreases by 80.6% and 78.6%, respectively;on the other hand, the output torque of AMNB and AMCB increases to 120.3% and 207.0%, respectively, at50 k Pa when the joint angle is 120°. By wearing these exosuits on a wooden arm model(1.25 kg), we further verify that AMCB can cover a full ROM of 0°–130° at the elbow with 500 g weight. Finally, the application on a health volunteer with AMCB shows that when the volunteer flexes the elbow to lift a weight of 500 g, the s EMG activity of the biceps and triceps is markedly reduced.

关键词： wearable robots rehabilitation robots soft robot applications soft actuators design

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Dynamic Performance of Straddle Monorail Curved Girder Bridge

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Computer Modeling in Engineering & Sciences 2022年第3期130卷 1669-1682页

作者： Yan Zhou Kai Zhang feng miao Pengfei Yang Tianjin Key Laboratory of Civil Structure Protection and Reinforcement Tianjin Chengjian UniversityTianjin300384China Tianjin Municipal Engineering Design&Research Institute Co. Ltd.Tianjin300051China Dalian University Dalian116622China

In this work,a monorail vehicle-bridge coupling(VBC)model capable of accurately considering curve alignment and superelevation is established based on curvilinear moving coordinate system,to study the VBC vibration of straddlemonorail curved girder bridge and the relevant factors influencing *** taking Chongqing Jiao Xin line as an example,the VBC program is compiled using Fortran,where the reliability of algorithm and program is verified by the results of Chongqing monorail ***,the effects of curve radius,vehicle speed,and track irregularity on the corresponding vehicle and bridge vibrations are compared and *** is observed that the test results of lateral vibration acceleration(LVA)and vertical vibration acceleration(VVA)of track beam,and LVA of vehicle,are consistent with the simulation *** to the track irregularity,vibration of track beam and vehicle increases ***,an increase in vehicle speed gradually increases the vibration of track beam and *** the curve radius(R)≤200 m,lateral and vertical vibrations of the track beam and vehicle decrease significantly with an increasing curve ***,when 200 m

关键词： Straddle monorail curved beam curve radius track irregularity vehicle-bridge coupling vibration

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Reconfigurable vertical field-effect transistor based on graphene/MoTe2/graphite heterostructure

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Science China(Information Sciences) 2020年第10期63卷 211-218页

作者： Cong WANG Chen PAN Shi-Jun LIANG Bin CHENG feng miao National Laboratory of Solid State Microstructures School of PhysicsCollaborative Innovation Center of Advanced MicrostructuresNanjing University

Reconfigurable field-effect transistors have attracted enormous attention over the past decades because of their potential in implementing logic and analog circuit functions with fewer resources of transistors compared with complementary metal-oxide-semiconductor transistors. However, the miniaturization of traditional reconfigurable transistors is still a challenge owing to their inherent planar multi-gate ***, we fabricated a dual-gate vertical transistor based on graphene/MoTe2/graphite van der Waals heterostructure and demonstrated a switchable n-type, V-shape ambipolar and p-type field-effect characteristics by varying the voltages of the top gate and drain electrodes. According to the band diagram analysis, we reveal that the reconfiguring ability of the field-effect characteristics stems from the asymmetric injection efficiency of the carriers through the gate-tunable barriers at the interfaces. Our results offer a potential approach to achieve device miniaturization of reconfigurable transistors.

关键词： reconfigurable field-effect transistor vertical transistor graphene/MoTe$_2$ van der Waals heterostructure ambipolar transistor dual-gate transistor

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2D materials for intelligent devices

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Science China(Physics,Mechanics & Astronomy) 2023年第11期66卷 44-54页

作者： Xuan Pan Yixiang Li Bin Cheng Shi-Jun Liang feng miao Institute of Brain-Inspired Intelligence National Laboratory of Solid State MicrostructuresCollaborative Innovation Center of Advanced MicrostructuresSchool of PhysicsNanjing UniversityNanjing210093China Institute of Interdisciplinary Physical Sciences School of ScienceNanjing University of Science and TechnologyNanjing210094China

Neuromorphic intelligent hardware technologies have undergone rapid advancement during the past decade,with the goal of building intelligent devices and systems capable of overcoming challenges associated with conventional *** of neuromorphic intelligent hardware depends on major advances in materials science,condensed matter physics,device physics and *** a revolutionary discovery,two-dimensional(2D)materials with atomically-thin thickness and exceptionally high tunability introduce a new physical paradigm and show great promise in the development of intelligent ***,we give prominence to three categories of tunable properties(i.e.,charge carrier,band structure,lattice structure)that are inherent for 2D materials and review their superiorities in constructing intelligent devices particularly in electronics and ***,we provide insight into how the unique physical mechanisms emerging in 2D materials offer a fertile ground for the design of diverse intelligence devices.

关键词： tunability 2D materials intelligent devices

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A Gaussian process regression-based sea surface temperature interpolation algorithm

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Journal of Oceanology and Limnology 2021年第4期39卷 1211-1221页

作者： Yongshun ZHANG miao feng Weimin ZHANG Huizan WANG Pinqiang WANG College of Meteorology and Oceanography National University of Defense TechnologyChangsha 410073China Key Laboratory of Software Engineering for Complex Systems National University of Defense TechnologyChangsha 410073China

The resolution of ocean reanalysis datasets is generally low because of the limited resolution of their associated numerical ***-resolution ocean reanalysis datasets are therefore usually interpolated to provide an initial or boundary field for higher-resolution regional ocean ***,traditional interpolation methods(nearest neighbor interpolation,bilinear interpolation,and bicubic interpolation)lack physical constraints and can generate significant errors at land-sea boundaries and around *** this paper,a machine learning method is used to design an interpolation algorithm based on Gaussian process *** method uses a multiscale kernel function to process two-dimensional space meteorological ocean processes and introduces multiscale physical feature information(sea surface wind stress,sea surface heat flux,and ocean current velocity).This greatly improves the spatial resolution of ocean features and the interpolation *** eff ectiveness of the algorithm was validated through interpolation experiments relating to sea surface temperature(SST).The root mean square error(RMSE)of the interpolation algorithm was 38.9%,43.7%,and 62.4%lower than that of bilinear interpolation,bicubic interpolation,and nearest neighbor interpolation,*** interpolation accuracy was also significantly better in off shore area and around *** algorithm has an acceptable runtime cost and good temporal and spatial generalizability.

关键词： Gaussian process regression sea surface temperature(SST) machine learning kernel function spatial interpolation

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Accelerated Stochastic Peaceman–Rachford Method for Empirical Risk Minimization

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Journal of the Operations Research Society of China 2023年第4期11卷 783-807页

作者： Jian-Chao Bai feng-miao Bian Xiao-Kai Chang Lin Du Research&Development Institute of Northwestern Polytechnical University in Shenzhen Shenzhen518057GuangdongChina School of Mathematics and Statistics Northwestern Polytechnical UniversityXi’an 710129ShaanxiChina Department of Mathematics The Hong Kong University of Science and TechnologyHong KongChina School of Science Lanzhou University of TechnologyLanzhou730050GansuChina School of Mathematics and Statistics the MIIT Key Laboratory of Dynamics and Control of Complex SystemsNorthwestern Polytechnical UniversityXi’an 710129ShaanxiChina

This work is devoted to studying an accelerated stochastic Peaceman–Rachford splitting method(AS-PRSM)for solving a family of structural empirical risk minimization *** objective function to be optimized is the sum of a possibly nonsmooth convex function and a finite sum of smooth convex component *** smooth subproblem in AS-PRSM is solved by a stochastic gradient method using variance reduction technique and accelerated techniques,while the possibly nonsmooth subproblem is solved by introducing an indefinite proximal term to transform its solution into a proximity *** a proper choice for the involved parameters,we show that AS-PRSM converges in a sublinear convergence rate measured by the function value residual and constraint violation in the sense of expectation and *** experiments on testing the popular graph-guided fused lasso problem in machine learning and the 3D CT reconstruction problem in medical image processing show that the proposed AS-PRSM is very efficient.

关键词： Empirical risk minimization Convex optimization Stochastic Peaceman-Rachford method Indefinite proximal term Complexity

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