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Carbon/carbon supercapacitors 被引量:10
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作者 Elzbieta Frackowiak qamar abbas Franois Bguin 《Journal of Energy Chemistry》 SCIE EI CAS CSCD 2013年第2期226-240,共15页
Supercapacitors, or electrochemical capacitors, are a power storage system applied for harvesting energy and delivering pulses during short periods of time. The commercially available technology is based on charging a... Supercapacitors, or electrochemical capacitors, are a power storage system applied for harvesting energy and delivering pulses during short periods of time. The commercially available technology is based on charging an electrical double-layer (EDL), and using high surface area carbon electrodes in an organic electrolyte. This review first presents the state-of-the-art on EDL capacitors, with the objective to better understand their operating principles and to improve their performance. In particular, it is shown that capacitance might be enhanced for carbons having subnanometric pores where ions of the electrolyte are distorted and partly desolvated. Then, strategies tbr using environment l^endly aqueous electrolytes are presented. In this case, the capacitance can be enhanced through pseudo-faradaic contributions involving i) surface functional groups on carbons, ii) hydrogen electrosorption, and iii) redox reactions at the electrode/electrolyte interface. The most promising system is based on the use of aqueous alkali sulfate as electrolyte allowing voltages as high as 2 V to be reached, due to the high overpotential for di-hydrogen evolution at the negative electrode. 展开更多
关键词 SUPERCAPACITORS electrochemical capacitors porous carbons electrolytes pore size PSEUDOCAPACITANCE
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In vitro,in vivo and in silico anti-hyperglycemic inhibition by sinigrin 被引量:1
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作者 qamar abbas Mubashir Hassan +4 位作者 Hussain Raza Song Ja Kim Ki-Wha Chung Gwang-Hoon Kim Sung-Yum Seo 《Asian Pacific Journal of Tropical Medicine》 SCIE CAS 2017年第4期352-358,共7页
Objective:To evaluate the anti-hyperglycemic potential of sinigrin using in ritro.in silico and in riro streptozotocin(STZ) induced hyperglycemic zebrafish model.Methods:The in vitro enzyme inhibition assay was carrie... Objective:To evaluate the anti-hyperglycemic potential of sinigrin using in ritro.in silico and in riro streptozotocin(STZ) induced hyperglycemic zebrafish model.Methods:The in vitro enzyme inhibition assay was carried out to determine the IC_(50) value against α-glucosidase and α-amylase.in silico molecular docking was performed against both enzymes with PyRx tool and simulations were performed using GROMACS tool.Hyperglycemia was induced in zebrafishes using three intraperitoneal injections on alternating days for one week at 350mg/kg of STZ.Hyperglycemic fishes were treated intraperitoncally with 50.100 and 150 mg of sinigrin/kg of body weight for 24 h and glucose levels were measured.Results:The sinigrin showed very strong inhibition against α-glucosidase and α-amylase with 0.248 and0.00124 μM while reference drug acarbose showed IC_(50) value of 73.0700 and 0.0017 μM against α-glucosidase and α-amylase,respectively.Kinetic analysis revealed that sinigrin has the mixed type mode of inhibition against α-glucosidase.Molecular docking results revealed its strong binding affinity with α-glucosidase(-10.00 Kcal/mol) and α-amylase(-8.10 Kcal/mol).Simulations graphs confirmed its stability against both enzymes.Furthermore.in hyperglycemic zebrafishes most significant(P<0.001) reduction of glucose was occurred at150 mg/kg.moderate significant reduction of glucose was observed at 100 mg/kg and no any significant reduction of glucose was measured at 50 mg/kg.Conclusions:It can be evident from the present results that sinigrin has potent anti-hyperglycemic activity and it may prove to be effective treatment for the hyperglycemia. 展开更多
关键词 ANTI-HYPERGLYCEMIA MD simulations SINIGRIN Zebrafish Α-AMYLASE Α-GLUCOSIDASE
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Convergence Track Based Adaptive Differential Evolution Algorithm(CTbADE)
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作者 qamar abbas Khalid Mahmood Malik +4 位作者 Abdul Khader Jilani Saudagar Muhammad Badruddin Khan Mozaherul Hoque Abul Hasanat Abdullah AlTameem Mohammed AlKhathami 《Computers, Materials & Continua》 SCIE EI 2022年第7期1229-1250,共22页
One of the challenging problems with evolutionary computing algorithms is to maintain the balance between exploration and exploitation capability in order to search global optima.A novel convergence track based adapti... One of the challenging problems with evolutionary computing algorithms is to maintain the balance between exploration and exploitation capability in order to search global optima.A novel convergence track based adaptive differential evolution(CTbADE)algorithm is presented in this research paper.The crossover rate and mutation probability parameters in a differential evolution algorithm have a significant role in searching global optima.A more diverse population improves the global searching capability and helps to escape from the local optima problem.Tracking the convergence path over time helps enhance the searching speed of a differential evolution algorithm for varying problems.An adaptive powerful parameter-controlled sequences utilized learning period-based memory and following convergence track over time are introduced in this paper.The proposed algorithm will be helpful in maintaining the equilibrium between an algorithm’s exploration and exploitation capability.A comprehensive test suite of standard benchmark problems with different natures,i.e.,unimodal/multimodal and separable/non-separable,was used to test the convergence power of the proposed CTbADE algorithm.Experimental results show the significant performance of the CTbADE algorithm in terms of average fitness,solution quality,and convergence speed when compared with standard differential evolution algorithms and a few other commonly used state-of-the-art algorithms,such as jDE,CoDE,and EPSDE algorithms.This algorithm will prove to be a significant addition to the literature in order to solve real time problems and to optimize computationalmodels with a high number of parameters to adjust during the problem-solving process. 展开更多
关键词 Differential evolution function optimization convergence track parameter sequence adaptive control parameters
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