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Communications in Theoretical Physics 2022年第12期74卷 9-20页

作者： ali m mubaraki Hwajoon Kim R I Nuruddeen Urooj Akram Yasir Akbar Department of mathematics and Statistics Collage of ScienceTaif UniversityP O Box 11099Taif 21944Saudi Arabia Kyungdong University YangjuRepublic of Korea Department of mathematics Faculty of ScienceFederal University DutseP O Box 7156 DutseJigawa StateNigeria Department of mathematics COMSATS University IslamabadLahorePakistan Department of mathematics COMSATS University Islamabad44000 IslamabadPakistan

The current study examines the special class of a generalized reaction-advection-diffusion dynamical model that is called the system of coupled Burger’s *** system plays a vital role in the essential areas of physics,including fluid dynamics and ***,two promising analytical integration schemes are employed for the study;in addition to the deployment of an efficient variant of the eminent Adomian decomposition *** sets of analytical wave solutions are revealed,including exponential,periodic,and dark-singular wave solutions;while an amazed rapidly convergent approximate solution is acquired on the other *** the end,certain graphical illustrations and tables are provided to support the reported analytical and numerical *** doubt,the present study is set to bridge the existing gap between the analytical and numerical approaches with regard to the solution validity of various models of mathematical physics.

关键词： reaction-advection-diffusion model Burger’s equations mETEm Km NLDm

Complement-dependent neuroinflammation in spinal cord injury:from pathology to therapeutic implications

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Neural Regeneration Research 2025年第5期20卷 1324-1335页

作者： Hassan Saad Bachar El Baba ali Tfaily Firas Kobeissy Juanmarco Gutierrez Gonzalez Daniel Refai Gerald R.Rodts Christian mustroph David Gimbel Jonathan Grossberg Daniel L.Barrow matthew F.Gary ali m.Alawieh Department of Neurosurgery Emory University School of MedicineAtlantaGAUSA Department of Neurology Yale UniversityNew HavenCTUSA Center for Neurotrauma Multiomics&Biomarkers(CNMB)Morehouse School of MedicineAtlantaGAUSA

Spinal cord injury remains a major cause of disability in young adults,and beyond acute decompression and rehabilitation,there are no pharmacological treatments to limit the progression of injury and optimize recovery in this *** the thorough investigation of the complement system in triggering and propagating cerebral neuroinflammation,a similar role for complement in spinal neuroinflammation is a focus of ongoing *** this work,we survey the current literature investigating the role of complement in spinal cord injury including the sources of complement proteins,triggers of complement activation,and role of effector functions in the *** study relevant data demonstrating the different triggers of complement activation after spinal cord injury including direct binding to cellular debris,and or activation via antibody binding to damage-associated molecular *** effector functions of complement have been implicated in spinal cord injury,and we critically evaluate recent studies on the dual role of complement anaphylatoxins in spinal cord injury while emphasizing the lack of pathophysiological understanding of the role of opsonins in spinal cord *** this pathophysiological review,we systematically review the different translational approaches used in preclinical models of spinal cord injury and discuss the challenges for future translation into human *** review emphasizes the need for future studies to dissect the roles of different complement pathways in the pathology of spinal cord injury,to evaluate the phases of involvement of opsonins and anaphylatoxins,and to study the role of complement in white matter degeneration and regeneration using translational strategies to supplement genetic models.

关键词： complement neuroinflammation neuroplasticity regeneration spinal cord injury targeted therapy

New ordered mAX phase mo_2 TiAlC_2: Elastic and electronic properties from first-principles

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Chinese Physics B 2016年第10期25卷 323-329页

作者： m A Hadi m S ali Department of Physics University of Rajshahi Department of Physics Pabna University of Science and Technology

First-principles computation on the basis of density functional theory(DFT) is executed with the CASTEP code to explore the structural, elastic, and electronic properties along with Debye temperature and theoretical Vickers’ hardness of newly discovered ordered mAX phase carbide mo2TiAlC2. The computed structural parameters are very reasonable compared with the experimental results. The mechanical stability is verified by using the computed elastic constants. The brittleness of the compound is indicated by both the Poisson’s and Pugh’s ratios. The new mAX phase is capable of resisting the pressure and tension and also has the clear directional bonding between atoms. The compound shows significant elastic anisotropy. The Debye temperature estimated from elastic moduli(B, G) is found to be 413.6 K. The electronic structure indicates that the bonding nature of mo2TiAlC2is a mixture of covalent and metallic with few ionic characters. The electron charge density map shows a strong directional mo–C–mo covalent bonding associated with a relatively weak Ti–C *** calculated Fermi surface is due to the low-dispersive mo 4d-like bands, which makes the compound a conductive *** hardness of the compound is also evaluated and a high value of 9.01 GPa is an indication of its strong covalent bonding.

关键词： new ordered mAX phase density functional theory calculations Debye temperature Vickers hardness

Robust stability analysis of Takagi-Sugeno uncertain stochastic fuzzy recurrent neural networks with mixed time-varying delays

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Chinese Physics B 2011年第8期20卷 1-15页

作者： m.Syed ali Department of mathematics Thiruvalluvar UniversityVellore-632 106TamilnaduIndia

In this paper, the global stability of Takagi-Sugeno （TS） uncertain stochastic fuzzy recurrent neural networks with discrete and distributed time-varying delays （TSUSFRNNs） is considered. A novel LmI-based stability criterion is obtained by using Lyapunov functional theory to guarantee the asymptotic stability of TSUSFRNNs. The proposed stability conditions are demonstrated through numerical examples. Furthermore, the supplementary requirement that the time derivative of time-varying delays must be smaller than one is removed. Comparison results are demonstrated to show that the proposed method is more able to guarantee the widest stability region than the other methods available in the existing literature.

关键词： recurrent neural networks linear matrix inequality Lyapunov stability time-varyingdelays TS fuzzy model

Novel delay-dependent stability analysis of Takagi-Sugeno fuzzy uncertain neural networks with time varying delays

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Chinese Physics B 2012年第7期21卷 49-60页

作者： m. Syed ali Department of mathematics Thiruvalluvar University

This paper presents the stability analysis for a class of neural networks with time varying delays that are represented by the Takagi^ugeno IT-S） model. The main results given here focus on the stability criteria using a new Lyapunov functional. New relaxed conditions and new linear matrix inequality-based designs are proposed that outperform the previous results found in the literature. Numerical examples are provided to show that the achieved conditions are less conservative than the existing ones in the literature.

关键词： neutral neural networks linear matrix inequality Lyapunov stability time varying delays

Stability analysis of markovian jumping stochastic Cohen Grossberg neural networks with discrete and distributed time varying delays

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Chinese Physics B 2014年第6期23卷 131-137页

作者： m.Syed ali Department of mathematics Thiruvalluvar University

In this paper, the global asymptotic stability problem of markovian jumping stochastic Cohen-Grossberg neural networks with discrete and distributed time-varying delays （mJSCGNNs） is considered. A novel LmI-based stability criterion is obtained by constructing a new Lyapunov functional to guarantee the asymptotic stability of mJSCGNNs. Our results can be easily verified and they are also less restrictive than previously known criteria and can be applied to Cohen-Grossberg neural networks, recurrent neural networks, and cellular neural networks. Finally, the proposed stability conditions are demonstrated with numerical examples.

关键词： Cohen-Grossberg neural networks global asymptotic stability linear matrix inequality Lyapunovfunctional time-varying delays

Robust H_∞ control for uncertain markovian jump systems with mixed delays

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Chinese Physics B 2016年第7期25卷 108-113页

作者： R Saravanakumar m Syed ali Department of mathematics Thiruvalluvar University

We scrutinize the problem of robust H∞control for a class of markovian jump uncertain systems with interval timevarying and distributed delays. The markovian jumping parameters are modeled as a continuous-time finite-state markov chain. The main aim is to design a delay-dependent robust H∞control synthesis which ensures the mean-square asymptotic stability of the equilibrium point. By constructing a suitable Lyapunov–Krasovskii functional（LKF）, sufficient conditions for delay-dependent robust H∞control criteria are obtained in terms of linear matrix inequalities（LmIs）. The advantage of the proposed method is illustrated by numerical examples. The results are also compared with the existing results to show the less conservativeness.

关键词： linear matrix inequality Lyapunov method markovian jumping parameters robust H∞ control

Advanced hydrogen storage of the mg–Na–Al system:A review

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Journal of magnesium and Alloys 2021年第4期9卷 1111-1123页

作者： N.A.ali m.Ismail Energy Storage Research Group Faculty of Ocean Engineering Technology and InformaticsUniversiti Malaysia Terengganu21030 Kuala NerusTerengganuMalaysia

A solid-state storage system is the most practical option for hydrogen because it is more convenient and *** hydrides,especially mgH_(2),are the most promising materials that offer high gravimetric capacity and good ***,the practical application of mgH_(2) is restricted by slow sorption kinetics and high stability of thermodynamic *** storage performance of mgH_(2) was enhanced by introducing the mg–Na–Al system that destabilises mgH_(2) with NaAlH_(4).The mg–Na–Al system has superior performance compared to that of unary mgH_(2) and NaAlH_(4).To boost the performance of the mg–Na–Al system,the ball milling method and the addition of a catalyst were *** mg–Na–Al system resulted in a low onset decomposition temperature,superior cyclability and enhanced kinetics *** Al_(12)mg_(17) and NamgH_(3) that formed in situ during the dehydrogenation process modify the reaction pathway of the mg–Na–Al system and alter the thermodynamic *** this paper,the overview of the recent progress in hydrogen storage of the mg–Na–Al system is *** remaining challenges and future development of mg–Na–Al system are also *** paper is the first review report on hydrogen storage properties of the mg–Na–Al system.

关键词： mg-Na-Al system mgH_(2) NaAlH_(4) Al_(12)mg_(17) hydrogen storage

The electrical impedance, AC conductivity and dielectric properties of phenol red compound investigated and modeled by an artificial neural network

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Communications in Theoretical Physics 2020年第10期72卷 139-148页

作者： H A m ali D m Habashy Physics Department Faculty of EducationAin Shams UniversityRoxyCairo 11757Egypt

The impedance spectroscopy,electrical conductivity and electric modulus of bulk phenol red were measured,as a function of both frequency and *** neural networks(ANNs)were used for modeling its electrical *** two parts(real and imaginary)of its complex impedance(Z^*)were analyzed and the activation energy related to the electrical relaxation process was *** curves were plotted showing semicircles for the different *** AC electrical conductivity follows a power lawσac(ω)αω^η.The maximum barrier height Bm was derived for specific temperatures.A plausible mechanism for the AC conduction of bulk phenol red was deduced from the temperature reliance of the frequency *** dielectric data was analyzed using electric modulus as a *** addition,ANNs were used to model the impedance parts and the total electrical *** runs were tried,to obtain the best *** training and prediction results were compared to the equivalent experimental results,with a good match *** equation describing the experimental results was obtained mathematically,based on the use of *** outputs demonstrated that ANNs are an admirable tool for modeling experimental results.

关键词： phenol red impedance spectroscopy electric modulus neural network

STOCHASTIC STABILITY OF UNCERTAIN RECURRENT NEURAL NETWORKS WITH mARKOVIAN JUmPING PARAmETERS

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Acta mathematica Scientia 2015年第5期35卷 1122-1136页

作者： m.SYED ali Department of mathematics Thiruval luvar University

In this paper, global robust stability of uncertain stochastic recurrent neural networks with markovian jumping parameters is considered. A novel Linear matrix inequal- ity（LmI） based stability criterion is obtained to guarantee the asymptotic stability of uncertain stochastic recurrent neural networks with markovian jumping parameters. The results are derived by using the Lyapunov functional technique, Lipchitz condition and S-procuture. Finally, numerical examples are given to demonstrate the correctness of the theoretical results. Our results are also compared with results discussed in [31] and [34] to show the effectiveness and conservativeness.

关键词： Lyapunov functional linear matrix inequality markovian jumping parameters recurrent neural networks