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Monoacylglycerol lipase inhibitors: modulators for lipid metabolism in cancer malignancy,neurological and metabolic disorders

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Acta Pharmaceutica Sinica B 2020年第4期10卷 582-602页

作者： Hui Deng weimin li Precision Medicine Key Laboratory of Sichuan Province&Precision Medicine Center West China HospitalSichuan UniversityChengdu 610041China

Monoacylglycerol lipase(MAGL)is a serine hydrolase that plays a crucial role catalysing the hydrolysis of monoglycerides into glycerol and fatty *** links the endocannabinoid and eicosanoid systems together by degradation of the abundant endocannabinoid 2-arachidaoylglycerol into arachidonic acid,the precursor of prostaglandins and other inflammatory *** inhibitors have been considered as important agents in many therapeutic fields,including anti-nociceptive,anxiolytic,antiinflammatory,and even ***,ABX-1431,a first-in-class inhibitor of MAGL,is entering clinical phase 2 studies for neurological disorders and other *** review summarizes the diverse(patho)physiological roles of MAGL and will provide an overview on the development of MAGL *** a large number of MAGL inhibitors have been reported,novel inhibitors are still required,particularly reversible ones.

关键词： Monoacylglycerol lipases 2-Arachidaoylglycerol Arachidonic acid Drug discovery Cancer Neuroinflammation Metabolic syndrome

Tribological study of two ammonium chloride-decanoic acid deep eutectic solvents(DESs)as high-performance lubricants

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Friction 2024年第11期12卷 2441-2457页

作者： Zhuocheng li Enhui ZHANG weimin li Haichao liU State Key Laboratory of Solid Lubrication Lanzhou Institute of Chemical PhysicsChinese Academy of SciencesLanzhou 730000China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of SciencesBeijing 100049China Zibo Innovation Center of High-End Synthetic Lubricating Materials Zibo 255000China

Deep eutectic solvents(DESs)are acknowledged as a novel class of functional *** share similar physical properties with ionic liquids(ILs)and have the potential to be a novel class of *** this study,two DESs,namely tetrabutylammonium chloride-decanoic acid DES(C4-DES)and methyl tricaprylmethylammonium chloride-decanoic acid DES(C8-DES),were synthesized,and their physico-chemical properties and tribological performances were ***-analysis of the rubbing surfaces used multiple techniques to gain insights into the lubrication *** show that the coefficient of friction(COF)and wear were reduced by approximately 29%and 91%for the C4-DES,and 36%and 94%for the C8-DES,compared to an ester base *** friction reduction behavior of the DESs is attributed to the monolayer adsorption of the polar group in the decanoic acid(DEAC),whose effectiveness is affected by the component of the ammonium salts in the DESs and the operating *** addition to the adsorbed film,worn surface analysis revealed that an ultra-thin tribochemical film with a thickness of 3–7 nm was formed on the surfaces lubricated with the *** composition of the film was studied,and the lubrication mechanisms of the two DESs were discussed.

关键词： deep eutectic solvent(DES) lubricants tribological performance boundary lubrication

Online Learning Control for Hybrid Electric Vehicle

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Chinese Journal of Mechanical Engineering 2012年第1期25卷 98-106页

作者： li weimin XU Guoqing XU Yangsheng Department of Automation Shanghai Jiao Tong UniversityShanghai 200240China Shenzhen Institutes of Advanced Technology Chinese Academy of SciencesShenzhen 518055China Department of Mechanical and Automation Engineering The Chinese University of Hong KongHong KongChina

Improvements in hybrid electric vehicle (HEV) fuel economy and emissions heavily depend on an efficient energy management strategy (EMS). However, the uncertainty of future driving conditions generally cannot be easily tackled in EMS design. Most existing EMSs act upon fixed parameters and cannot adapt to varying driving conditions. Therefore, they usually fail to fully explore the potential of these advanced vehicles. In this paper, a novel EMS design procedure based on neural dynamic programming (NDP) is proposed. The NDP is a generic online learning algorithm, which combines stochastic dynamic programming (SDP) and the temporal difference (TD) method. Instead of computing the utility function and optimal control actions through Bellman equations, the NDP algorithm uses two neural networks to approximate them. The weights of these neural networks are updated online by the TD method. It avoids the high computational cost that SDP suffers from and is suitable for real-time implementation. The main advantages of NDP EMS is that it does not rely on prior information related to future driving conditions, and can self-tune with a wide variance in operating conditions. The NDP EMS has been applied to “Qianghua-I”, a prototype of a parallel HEV, using a revolving drum test bench for verification. Experiment results illustrate the potential of the proposed EMS in terms of fuel economy and in keeping state of charge (SOC) deviations at a low level. The proposed research ensures the optimality of NDP EMS, as well as real-time applicability.

关键词： hybrid electric vehicle neural dynamic programming energy management strategy

Inverses and Pseudo-Inverses of a Strong Endomorphism of a Graph

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Acta Mathematica Sinica,English Series 1995年第4期11卷 372-380页

作者： weimin li Department of Applied Mathematics Shanghai Jiao-Tong University Shanghai China

In this paper,we explicitly describe all the inverses and pseudo-inverses of a strong endomorphism of a *** number of them is *** addition,we give a characterization of a strong endomorphism whose pseudo-inverse set c... 详细信息

关键词： Strong endomorphism Inverse Pseudo-inverse Semigroup Graph

AN APPROACH TO CONSTRUCT AN END-REGULAR GRAPH

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Applied Mathematics(A Journal of Chinese Universities) 1998年第2期13卷 171-178页

作者： li weimin Department of Mathematics Shanghai Jiaotong University Shanghai

Abstract In this paper,an approach to construct a nontrivial end regular graph of any order under some conditions are given.

关键词： Endomorphism regularity monoid graph

Calculation of Al Zn diagram from central atoms model

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中国有色金属学会会刊：英文版 1999年第3期9卷 611-616页

作者： li weimin(李卫民) Zhang Yingjiu(张迎九) Guangdong Univ Technol Dept Mat Sci & Engn Guangzhou 510090 Peoples R China

A slightly modified central atoms model was proposed. The probabilities of various clusters with the central atoms and their nearest neighboring shells can be calculated neglecting the assumption of the parameter of energy in the central atoms model in proportion to the number of other atoms i (referred with the central atom). A parameter P α is proposed in this model, which equals to reciprocal of activity coefficient of α component, therefore, the new model can be understood easily. By this model, the Al Zn phase diagram and its thermodynamic properties were calculated, the results coincide with the experimental data.

关键词： central atoms model diagram calculation Al Zn

EXPERIMENT STUDY ON CONSOliDATING EFFECT OF LOOSE STRUCTURE IN HEAVY INGOT

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Chinese Journal of Mechanical Engineering 1998年第1期11卷 24-29页

作者： li, weimin Qin, Siji Xu, Jisheng Yanshan Univ China

Experiments on consolidating process and mechanism of internal loose structures in heavy ingots are studied by taking stretching technology as example Considering various detecting indexes,the equivalent relationships of forging ratios which are required by different forging processes with parameters are *** experimental methods and basis can be provided for the studying the of forging heavy ingots

关键词： Consolidation of loose structure Ingot Simulation experiment

Prescribed performance neural control to guarantee tracking quality for near space kinetic kill vehicle

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Journal of Systems Engineering and Electronics 2019年第3期30卷 573-586页

作者： ZHANG Tao li Jiong li weimin WANG Huaji LEI Humin Air and Missile Defense College Air Force Engineering University

A prescribed performance neural controller to guarantee tracking quality is addressed for the near space kinetic kill vehicle (NSKKV) to meet the state constraints caused by side window detection. Different from the traditional prescribed performance control in which the shape of the performance function is constant, this paper exploits new performance functions which can change the shape of their function according to different symbols of initial errors and can ensure the error convergence with a small overshoot. The neural backstepping control and the minimal learning parameters (MLP) technology are employed for exploring a prescribed performance controller (PPC) that provides robust tracking attitude reference trajectories. The highlight is that the transient performance of tracking errors is satisfactory and the computational load of neural approximation is low. The pseudo rate (PSR) modulator is used to shape the continuous control command to pulse or on-off signals to meet the requirements of the thruster. Numerical simulations show that the proposed method can achieve state constraints, pseudo-linear operation and high accuracy.

关键词： prescribed performance control near space kinetic kill vehicle (NSKKV) neural approximation minimal learning parameter (MLP) pseudo rate (PSR) modulator

Fuzzy interval linguistic sets with applications in multi-attribute group decision making

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Journal of Systems Engineering and Electronics 2018年第6期29卷 1237-1250页

作者： LUO Xiao li weimin WANG Xuanzi ZHAO Zhenchong Air and Missile Defense College Air Force Engineering University School of Management Xi'an Jiaotong University

Uncertain and hesitant information, widely existing in the real-world qualitative decision making problems, brings great challenges to decision makers. Hesitant fuzzy linguistic term sets(HFLTSs), an effective linguistic computational tool in modeling and eliciting such information, have hence aroused many scholars’ interests and some extensions have been introduced ***, these methods are based on the discrete linguistic term framework with the limited expression domain, which actually depict qualitative information using several single values. Therefore,it is hard to ensure the integrity of the semantics representation and the accuracy of the computation results. To deal with this problem, a semantics basis framework called complete linguistic term set(CLTS) is designed, which adopts a separation structure of linguistic scale and expression domain, enriching semantics representation of decision makers. On this basis the concept of fuzzy interval linguistic sets(FILSs) is put forward that employs the interval linguistic term with probability to increase the flexibility of eliciting and representing uncertain and hesitant qualitative information. For practical applications, a fuzzy interval linguistic technique for order preference by similarity to ideal solution(FILTOPSIS) method is developed to deal with multi-attribute group decision making(MAGDM) problems. Through the cases of movie and enterprise resource planning(ERP) system selection, the effectiveness and validity of the proposed method are illustrated.

关键词： hesitant fuzzy sets multi-attribute group decision making(MAGDM) fuzzy interval linguistic set(FILS) hesitant fuzzy linguistic term set(HFLTS) fuzzy linguistic approach