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Asian Pacific Journal of Tropical Medicine 2018年第2期11卷 123-130页

作者： Sanila Amber syed adnan ali shah Touqeer Ahmed Saadia Zahid Neurobiology Research Laboratory Department of Healthcare BiotechnologyAtta-ur-Rahman School of Applied BiosciencesNational University of Sciences and Technology Atta-ur-Rahman Institute for Natural Product Discovery (AuRIns)Universiti Teknologi MARA Puncak Alam Campus Faculty of Pharmacy Universiti Teknologi MARA Puncak Alam Campus

Objective: To investigate the neuroprotective effects of Syzygium aromaticum(***)extract(500 mg/kg) on AlCl_3(300 mg/kg)-induced mouse model of oxidative stress and ***: An ethanolic extract of *** seeds was prepared and the active compounds were identified using nuclear magnetic resonance ***/c mice were divided into five groups(negative control, AlCl_3-treated, self-recovery, AlCl_3 + ***, *** only; n=10) and treated with AlCl_3 and *** *** of oxidative markers [Superoxide dismutase 1(SOD1) and peroxiredoxin 6(Prdx6)] and amyloid precursor protein(APP) in the hippocampus and cortex was evaluated via *** assessment was performed to investigate the extent of ***: It was observed that AlCl_3 exposure increased the expression of APP770 while simultaneously down regulated the expression of ***_3 also induced a significant decrease(Palized the alterations in the expression level of SOD1, Prdx6 and APPisoforms and improved the neuronal structural ***: The results showed that *** is a promising antioxidant and a neuroprotective agent.

关键词： Amyloid precursor protein Oxidative stress Aluminum Neurodegeneration

Morpholine hydrazone scaffold： Synthesis, anticancer activity and docking studies

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Chinese Chemical Letters 2017年第3期28卷 607-611页

作者： Muhammad Taha syed adnan ali shah Muhammad Afifi Manar Zulkeflee Sadia Sultan Abdul Wadood Fazal Rahim Nor Hadiani Ismail Atta-ur-Rahman Institute for Natural Product Discovery (AuRlns) Universiti Teknologi MARA Puncak Alam Campus 42300 Bandar Puncak Alam SelangorD. E. Malaysia Faculty of Applied Science UiTM Shah Alam 40450 Shah Alam Selangor D.E. Malaysia Faculty of Pharrnacy Universiti Teknologi MARA Puncat~ Alam Campus 42300 Baadar Puncak Alam Selangor D.E. Malaysia Department of Biochemistry Abdul Wali Khan University Mardan 23200 Pakistan Department of Chemistry Hazara University Mansehra 21300 Pakistan

In this paper, synthesis and anticancer activities of morpholine hydrazones scaffold（1-17） thoroughly studied. Small series of morpholine hydrazones synthesized by treating 5-morpholinothiophene-2-carbaldehyde with different aryl hydrazides to form morpholine hydrazones scaffold（1-17）. The in vitro anticancer potential of all these compounds was checked against human cancer cell lines like Hep G2（human hepatocellular liver carcinoma） and MCF-7（human breast adenocarcinoma）. Analogs 13 had similar substantial cytotoxic effects towards Hep G2 with IC_（50） value 6.31±1.03μmmol/L when compared with the standard Doxorubicin（IC_（50）value 6.00±0.80μmmol/L）; while compounds 5,8 and 9 showed potent cytotoxicity against MCF-7 with IC_（50） value 7.08±0.42μmmol/L, 1.26±0.34μmmol/L and11.22±0.22μmmol/L respectively when compared with the standard Tamoxifen（IC_（50）= 11.00±0.40μmol/L）. Molecular docking studies also performed to understand the binding interaction.

关键词： Morpholine hydrazones Synthesis HepG2 MCF-7 Molecular docking

Decoding molecular mechanisms:brain aging and Alzheimer's disease

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Neural Regeneration Research 2025年第8期20卷 2279-2299页

作者： Mahnoor Hayat Rafay ali syed Hammad Qaiser Mohammad Uzair Khalid Al-Regaiey Roaa Khallaf Lubna Abdullah Mohammed Albassam Imdad Kaleem Xueyi Wang Ran Wang Mehwish SBhatti shahid Bashir Atta-ur-Rahman School of Applied Biosciences(ASAB) National University of Sciences and Technology(NUST)IslamabadPakistan Department of Biotechnology Quaid-i-Azam UniversityIslamabadPakistan Department of Biological Sciences Faculty of Basic&Applied SciencesInternational Islamic University Islamabad(IIUI)IslamabadPakistan Department of Bioengineering King Fahd University of Petroleum and MineralsDhahranSaudi Arabia Department of Physiology College of MedicineKing Saud UniversityRiyadhSaudi Arabia Department of Neurology Neuroscience CenterKing Fahad Specialist HospitalDammamSaudi Arabia Department of Mental Health Neuroscience CenterKing Fahad Specialist HospitalDammamSaudi Arabia Department of Biosciences Commission on Science and Technology for Sustainable Development in the South(COMSATS University)IslamabadPakistan Department of Psychiatry The First Hospital of Hebei Medical UniversityShijiazhuangHebei ProvinceChina Mental Health Institute of Hebei Medical University ShijiazhuangHebei ProvinceChina Department of Neurobiology and Behavior University of CaliforniaIrvineCAUSA Neuroscience Center King Fahad Specialist Hospital DammamDammamSaudi Arabia

The complex morphological,anatomical,physiological,and chemical mechanisms within the aging brain have been the hot topic of research for *** aging process alters the brain structure that affects functions and cognitions,but the worsening of such processes contributes to the pathogenesis of neurodegenerative disorders,such as Alzheimer's *** these observable,mild morphological shifts,significant functional modifications in neurotransmission and neuronal activity critically influence the aging *** these changes is important for maintaining cognitive health,especially given the increasing prevalence of age-related conditions that affect *** review aims to explore the age-induced changes in brain plasticity and molecular processes,differentiating normal aging from the pathogenesis of Alzheimer's disease,thereby providing insights into predicting the risk of dementia,particularly Alzheimer's disease.

关键词： Alzheimer’s disease brain aging cognitive health dementia molecular mechanisms neuronal activity neuroplasticity neurotransmission

Steel Surface Defect Detection Using Learnable Memory Vision Transformer

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Computers, Materials & Continua 2025年第1期82卷 499-520页

作者： syed Tasnimul Karim Ayon Farhan Md.Siraj Jia Uddin Department of Computer Science and Engineering BRAC UniversityDhaka1212Bangladesh Department of AI and Big Data Endicott CollegeWoosong UniversityDaejeon34606Republic of Korea

This study investigates the application of Learnable Memory Vision Transformers(LMViT)for detecting metal surface flaws,comparing their performance with traditional CNNs,specifically ResNet18 and ResNet50,as well as other transformer-based models including Token to Token ViT,ViT withoutmemory,and Parallel *** awidely-used steel surface defect dataset,the research applies data augmentation and t-distributed stochastic neighbor embedding(t-SNE)to enhance feature extraction and *** techniques mitigated overfitting,stabilized training,and improved generalization *** LMViT model achieved a test accuracy of 97.22%,significantly outperforming ResNet18(88.89%)and ResNet50(88.90%),aswell as the Token to TokenViT(88.46%),ViT without memory(87.18),and Parallel ViT(91.03%).Furthermore,LMViT exhibited superior training and validation performance,attaining a validation accuracy of 98.2%compared to 91.0%for ResNet 18,96.0%for ResNet50,and 89.12%,87.51%,and 91.21%for Token to Token ViT,ViT without memory,and Parallel ViT,*** findings highlight the LMViT’s ability to capture long-range dependencies in images,an areawhere CNNs struggle due to their reliance on local receptive fields and hierarchical feature *** additional transformer-based models also demonstrate improved performance in capturing complex features over CNNs,with LMViT excelling particularly at detecting subtle and complex defects,which is critical for maintaining product quality and operational efficiency in industrial *** instance,the LMViT model successfully identified fine scratches and minor surface irregularities that CNNs often *** study not only demonstrates LMViT’s potential for real-world defect detection but also underscores the promise of other transformer-based architectures like Token to Token ViT,ViT without memory,and Parallel ViT in industrial scenarios where complex spatial relationships are *** research m

关键词： Learnable Memory Vision Transformer(LMViT) Convolutional Neural Networks(CNN) metal surface defect detection deep learning,computer vision image classification learnable memory gradient clipping label smoothing t-SNE visualization

Brain Tumor Detection and Segmentation Using RCNN

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Computers, Materials & Continua 2022年第6期71卷 5005-5020页

作者： Maham Khan syed adnan shah Tenvir ali Quratulain Aymen Khan Gyu Sang Choi Department of Computer Science University of Engineering&TechnologyTaxila47080Pakistan Faculty of Computing The Islamia University of BahawalpurBahawalpur63100Pakistan Department of Information and Communication Engineering Yeungnam UniversityGyeongbuk38541Korea

Brain tumors are considered as most fatal *** reduce the risk of death,early identification of the disease is *** of the best available methods to evaluate brain tumors is Magnetic resonance Images(MRI).Brain tumor detection and segmentation are tough as brain tumors may vary in size,shape,and *** makes manual detection of brain tumors by exploring MRI a tedious job for radiologists and doctors’.So an automated brain tumor detection and segmentation is *** work suggests a Region-based Convolution Neural Network(RCNN)approach for automated brain tumor identification and segmentation using MR images,which helps solve the difficulties of brain tumor identification efficiently and *** methodology is based on the accurate and efficient selection of tumorous *** reduces computational complexity and *** have validated the designed experimental setup on a standard dataset,BraTS *** used binary evaluation matrices based on Dice Similarity Coefficient(DSC)and Mean Average Precision(mAP).The segmentation results are compared with state-of-the-art methodologies to demonstrate the effectiveness of the proposed *** suggested approach attained an averageDSC of 0.92 andmAP 0.92 for 10 patients,while on the whole dataset,the scores are DSC 0.89 and mAP *** following results clearly show the performance efficiency of the proposed methodology.

关键词： Brain tumor MRI preprocessing image segmentation brain tumor localization medical ML RCNN BraTS 2020 LGG HGG

Modeling transmission dynamics of Ebola virus disease

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International Journal of Biomathematics 2017年第4期10卷 297-331页

作者： Mudassar Imran adnan Khan ali R. Ansari syed Touqeer Hussain shah International Center for Applied Mathematics and Computational Bioengineering Department of Mathematics and Natural Sciences Gulf University for Science and Technology Hawally Kuwait Department of Mathematics Lahore University of Management Sciences Lahore Pakistan

Ebola virus disease （EVD） has emerged as a rapidly spreading potentially fatal disease. Several studies have been performed recently to investigate the dynamics of EVD. In this paper, we study the transmission dynamics of EVD by formulating an SEIR-type transmission model that includes isolated individuals as well as dead individuals that are not yet buried. Dynamical systems analysis of the model is performed, and it is consequently shown that the disease-free steady state is globally asymptotically stable when the basic reproduction number, R0 is less than unity. It is also shown that there exists a unique endemic equilibrium when R0 〉 1. Using optimal control theory, we propose control strategies, which will help to eliminate the Ebola disease. We use data fitting on models, with and without isolation, to estimate the basic reproductive numbers for the 2014 outbreak of EVD in Liberia and Sierra Leone.

关键词： Ebola virus disease endemic equilibrium basic reproduction number hos-pitalization infectiousness optimal control transmission dynamics time series datafitting.

TiC-Maraging stainless steel composite:microstructure, mechanical and wear properties

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Rare Metals 2006年第6期25卷 630-635页

作者： Akhtar Farid Khadijah ali shah syed Javid Askari School of Material Science and Engineering University of Science and Technology Beijing Beijing 100083 China

Particulate TiC reinforced 17-4PH and 465 maraging stainless steel matrix composites were processed by conventional powder metallurgy （P/M）. TiC-maraging stainless steel composites with theoretical density 〉97% were produced using conventional P/M. The microstructure, and mechanical and wear properties of the composites were evaluated. The microstructure of the composites consisted of （core-rim structure） spherical and semi-spherical TiC particles depending on the wettability of the matrix with TiC particles. In TiC-maraging stainless steel composites, 465 stainless steel binder phase showed good wettability with TiC particles. Some microcracks appeared in the composites, indicating the presence of tensile stresses in the composites produced during sintering. The typical properties, hardness, and bend strength were reported for the composites. After heat treatment and aging, an increase in hardness was observed. The increase in hardness was at- tributed to the aging reaction in maraging stainless steel. The specific wear behavior of the composites strongly depends on the content of TiC particles and their interparticle spacing, and on the heat treatment of the maraging stainless steel.

关键词： TiC-maraging stainless steel composites aging wear powder metallurgy microcracks

Fractional-calculus analysis of human immunodeficiency virus and CD4+T-cells with control interventions

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Communications in Theoretical Physics 2022年第10期74卷 1-15页

作者： Rashid Jan Salah Boulaaras syed Azhar ali shah Department of Mathematics University of SwabiSwabi 23430KPKPakistan Department of Mathematics College of Sciences and ArtsArRassQassim UniversitySaudi Arabia

It is undeniable that HIV infection has been a censorious public health concern over the past four *** is reported that HIV is the main reason for AIDs which has decimated the global population of humans and imposed a significant economic burden on affected ***,it is significant to study the transmission of HIV viruses in the body of a human *** this study,we use a fractional framework to organise the intricate interactions of CD4^(+)T-cells and HIV viruses in order to investigate HIV infection with control *** apply the operators of Caputo and Atangana–Baleanu to interrogate the transmission phenomena of HIV *** the analysis of our system,we present the basic concepts of the fractional *** schemes are provided to show the solution pathways of the system with the variation of input ***,the findings emphasise the chaotic and dynamical behaviour of *** run several simulations to visualise the influence of input factors and quantitatively illustrated the dynamics of *** and oscillatory behaviour are intimately linked,and this is owing to the system’s ***,our findings indicate the most important factors for infection control and prevention.

关键词： fractional-calculus HIV infection dynamics of HIV numerical method time series analysis

Fractional Analysis of Thin Film Flow of Non-Newtonian Fluid

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Computer Modeling in Engineering & Sciences 2020年第9期124卷 825-845页

作者： Farnaz Ismail Mubashir Qayyum syed Inayat ali shah Department of Mathematics Islamia College UniversityPeshawarPakistan Department of Sciences and Humanities National University of Computer&Emerging Sciences FASTLahorePakistan

Modeling and analysis of thin film flow with respect to magneto hydro dynamical effect has been an important theme in the field of fluid dynamics,due to its vast industrial *** analysis involves studying the behavior and response of governing equations on the basis of various parameters such as thickness of the film,film surface profile,shear stress,liquid velocity,volumetric flux,vorticity,gravity,viscosity among others,along with different boundary *** this article,we extend this analysis in fractional space using a homotopy based scheme,considering the case of a Non-Newtonian Pseudo-Plastic fluid for lifting and drainage on a vertical *** applying similarity transformations,the given problems are reduced to highly non-linear and inhomogeneous ordinary differential ***,fractional differential equations are obtained using basic definitions of fractional *** Homotopy Perturbation Method(HPM),along with fractional calculus is used for obtaining approximate *** quantities such as the velocity profile,volume flux and average velocity respectively for lift and drainage cases have been *** the best of our knowledge,the given problems have not been attempted before in fractional *** and convergence of the obtained solutions are confirmed by finding residual *** a physical perspective,a comprehensive study of the effects of various parameters on the velocity profile is also *** reveals that Stokes number St,non-Newtonian parameterand magnetic parameter M have inverse relationship with fluid velocity in lifting *** the drainage case,Stokes number St and non-Newtonian parameterhave direct relationship with fluid velocity,but magnetic parameter M shows inverse relationship with *** investigation also shows that the fractional parameterhas direct relationship with the fluid velocity in lifting case,while it has inverse relationship with velocity in the

关键词： Pseudo-plastic fluid magneto hydro dynamic fractional differential equation homotopy perturbation method

An Energy-Efficient 12b 2.56 MS/s SAR ADC Using Successive Scaling of Reference Voltages

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Computers, Materials & Continua 2022年第7期72卷 2127-2139页

作者： Hojin Kang syed Asmat ali shah HyungWon Kim Department of Electronics Engineering College of Electrical and Computer EngineeringChungbuk National UniversityCheongju28644Korea Department of Electrical and Computer Engineering COMSATS University IslamabadAbbottabad CampusAbbottabad22060Pakistan

This paper presents an energy efficient architecture for successive approximation register(SAR)analog to digital converter(ADC).SAR ADCs with a capacitor array structure have been widely used because of its simple architecture and relatively high ***,conventional SAR ADCs consume relatively high energy due to the large number of capacitors used in the capacitor array and their sizes scaled up along with the number of *** proposed architecture reduces the energy consumption as well as the capacitor size by employing a new array architecture that scales down the reference voltages instead of scaling up the capacitor *** proposed 12-bit SAR ADC is implemented in Complementary Metal Oxide Semiconductor(CMOS)0.13 um library using Cadence Virtuoso design *** results and mathematical model demonstrate the overall energy savings of up to 97.3%compared with conventional SAR ADC,67%compared with the SAR ADC with split capacitor,and 35%compared with the resistor and capacitor(R&C)Hybrid SAR *** ADC achieves an effective number of bits(ENOB)of 11.27 bits and consumes 61.7 uW at sampling rate of 2.56 MS/s,offering an energy consumption of 9.8 fJ per conversion *** proposed SAR ADC offers 95.5%reduction in chip core area compared to conventional architecture,while occupying an active area of 0.088 mm2.

关键词： Low voltage low power successive approximation register analog to digital converter switching energy