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Communications in Theoretical Physics 2018年第4期69卷 449-460页

作者： tariq javed B.Ahmed M.Sajid Department of Mathematics and Statistics International Islamic University

The current study focuses on the numerical investigation of the mixed convective peristaltic mechanism through a vertical tube for non-zero Reynolds and wave number. In the set of constitutional equations, energy equation contains the term representing heat generation parameter. The problem is formulated by dropping the assumption of lubrication theory that turns the model mathematically into a system of the nonlinear partial differential equations. The results of the long wavelength in a creeping flow are deduced from the present analysis. Thus, the current study explores the neglected features of peristaltic heat flow in the mixed convective model by considering moderate values of Reynolds and wave numbers. The finite element based on Galerkin's weighted residual scheme is applied to solve the governing equations. The computed solution is presented in the form of contours of streamlines and isothermal lines, velocity and temperature profiles for variation of different involved parameters. The investigation shows that the strength of circulation for stream function increases by increasing the wave number and Reynolds number. Symmetric isotherms are reported for small values of time-mean flow. Linear behavior of pressure is noticed by vanishing inertial forces while the increase in pressure is observed by amplifying the Reynolds number.

关键词： mixed convection peristaltic flow moderate Reynolds number finite element method

Assessment of Metals Concentration and Ecotoxicology of the Sediment Core of Rehri Creek, Karachi Coast, Pakistan

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Acta Geologica Sinica(English Edition) 2013年第5期87卷 1434-1443页

作者： Muhammad Z. CHAUDHARY Nasir AHMAD Azhar MASHIATULLAH Sajjad MUNIR tariq javed Isotope Application Division Pakistan Institute of Nuclear Science and Technology (PINSTECH) Institute of Geology University of the Punjab Department of Earth & Environmental Sciences Bahria University Islamanad

Trace metal concentrations were investigated in a recent sediment core collected from the Rehri Creek area of the Karachi coast, Sindh - Pakistan. The core was sliced horizontally at 2.5-cm intervals to determine grain size, sediment composition, pH, organic matter, and acid-leachable trace metals： cadmium, chromium, copper, lead, and zinc. The trace metals were analyzed by ICP. To separate anthropogenic from geogenic input, several approaches were made, including comparison with sediment quality guidelines--ecotoxicological sense of heavy metal contamination and classification by quantitative indexes. Grain-size analysis and sediment composition of core sample show a sandy nature with neutral pH. Elemental sequence （ES） of the trace metals is in the order of Zn （19.2-109.56 ppm）〉 Si （66.46-101.71 ppm）〉 Ba （12.05-26.86 ppm）〉 As （8.18-17.36 ppm）〉 Ni （4.2- 14.69 ppm）〉 Cr （3.02-9.62 ppm）〉 Pb （2.79-6.83 ppm）〉 Cu （2.2-5.29 ppm）〉 Co （0.9-2.05 ppm）. Thus it is likely that the area may face a serious threat of metal pollution with the present deposition rates unless stringent pollution control norms are adopted. The Sediment Geo-accumulation Index shows that there is no Cr, Cu, Ni, Pb, Zn, or Fe pollution; however, the former index and the Pollution Load Index indicate arsenic pollution in the sediments.

关键词： trace elements lake sedimentation sediment quality guidelines pollution shale values

Selection of Metaheuristic Algorithm to Design Wireless Sensor Network

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Intelligent Automation & Soft Computing 2023年第7期37卷 985-1000页

作者： Rakhshan Zulfiqar tariq javed Zain Anwar Ali Eman H.Alkhammash Myriam Hadjouni Hamdard University Karachi75270Pakistan Electronic Engineering Department Sir Syed University of Engineering&TechnologyKarachiPakistan Department of Computer Science College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif21944Saudi Arabia Department of Computer Sciences College of Computer and Information SciencePrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia

The deployment of sensor nodes is an important aspect in mobile wireless sensor networks for increasing network *** longevity of the networks is mostly determined by the proportion of energy consumed and the sensor nodes’access *** optimal or ideal positioning of sensors improves the portable sensor networks *** and energy usage are mostly determined by successful sensor placement ***-inspired algorithms are the most effective solution for short sensor *** primary objective of work is to conduct a comparative analysis of nature-inspired optimization for wireless sensor networks(WSNs’)maximum network ***,it identifies quantity of installed sensor nodes for the given *** of algorithm has been identified based on value of optimized *** first half of the paper’s literature on nature-inspired algorithms is *** six metaheuristics algorithms(Grey wolf,Ant lion,Dragonfly,Whale,Moth flame,Sine cosine optimizer)are compared for optimal coverage of *** simulation outcomes confirm that whale opti-mization algorithm(WOA)gives optimized Energy with improved network coverage with the least number of *** comparison will be helpful for researchers who will use WSNs in their applications.

关键词： Bio-inspired computing evolutionary computation greedy algorithms wireless sensor network computational intelligence

Development of bis-thiobarbiturates as successful urease inhibitors and their molecular modeling studies

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Chinese Chemical Letters 2016年第5期27卷 693-697页

作者： Fazal Rahim Muhammad Ali Shifa Ullah Umer Rashid Hayat Ullah Muhammad Taha Muhammad tariq javed Wajid Rehman Aftab Ahmad Khan Obaid Ur Rahman Abid Muhammad Bilal Department of Chemistry Hazara University Department of Chemistry COMSATS Institute of Information Technology Department of Biochemistry and Biotechnology The Islamia University of Bahawalpur Atta-ur-Rahman Institute for Natural Product Discovery Universiti Teknologi MARA (UiTM)Puncak Alam Campus Faculty of Applied Science UiTM Department of Environmental Science COMSATS Institute of Information Technology

Bis-thiobarbiturate derivatives 1-15 have been synthesized, characterized by 1HNMR and El-MS and screened for urease inhibition. All compounds showed various degree of urease inhibitory activity with iC50 values ranging 7.45 ± 0.12 - 74.24 ± 0.81 μmol/L while the standard thiourea behaved normally （ICso = 21.10 ±0.12）. Compounds I （IC50= 7.45 ± 0.12 ]μmol/L）, 9 （IC50 =18,17 ± 1.03 bmol/L） and 13 （IC50= 8.61 ± 0.45 bmol/L） showed excellent urease inhibitory activity in the series. Molecular modeling studies were performed to understand the binding site with the bimetallic nickel center of the enzyme. Structure-activity relationship has also been established for these compounds. This study identified bis- thiobarbiturate as a novel class of urease inhibitors.

关键词： Thiobarbituric acid Synthesis Urease inhibition Molecular docking studies

IDSSCNN-XgBoost:Improved Dual-Stream Shallow Convolutional Neural Network Based on Extreme Gradient Boosting Algorithm for Micro Expression Recognition

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Computers, Materials & Continua 2025年第1期82卷 729-749页

作者： Adnan Ahmad Zhao Li Irfan tariq Zhengran He School of Information Science and Engineering Southeast UniversityNanjing210016China

Micro-expressions(ME)recognition is a complex task that requires advanced techniques to extract informative features fromfacial *** deep neural networks(DNNs)with convolutional structures have been ***,unlike DNNs,shallow convolutional neural networks often outperform deeper models in mitigating overfitting,particularly with small ***,many of these methods rely on a single feature for recognition,resulting in an insufficient ability to extract highly effective *** address this limitation,in this paper,an Improved Dual-stream Shallow Convolutional Neural Network based on an Extreme Gradient Boosting Algorithm(IDSSCNN-XgBoost)is introduced for ME *** proposed method utilizes a dual-stream architecture where motion vectors(temporal features)are extracted using Optical Flow TV-L1 and amplify subtle changes(spatial features)via EulerianVideoMagnification(EVM).These features are processed by IDSSCNN,with an attention mechanism applied to refine the extracted effective *** outputs are then fused,concatenated,and classified using the XgBoost *** comprehensive approach significantly improves recognition accuracy by leveraging the strengths of both temporal and spatial information,supported by the robust classification power of *** proposed method is evaluated on three publicly available ME databases named Chinese Academy of Sciences Micro-expression Database(CASMEII),Spontaneous Micro-Expression Database(SMICHS),and Spontaneous Actions and Micro-Movements(SAMM).Experimental results indicate that the proposed model can achieve outstanding results compared to recent *** accuracy results are 79.01%,69.22%,and 68.99%on CASMEII,SMIC-HS,and SAMM,and the F1-score are 75.47%,68.91%,and 63.84%,*** proposed method has the advantage of operational efficiency and less computational time.

关键词： ME recognition dual stream shallow convolutional neural network euler video magnification TV-L1 XgBoost

Structural, morphological, Raman, optical, magnetic, and antibacterial characteristics of CeO2 nanostructures

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International Journal of Minerals,Metallurgy and Materials 2016年第1期23卷 102-108页

作者： Fazal Abbas javed Iqbal tariq Jan Noor Badshah Qaisar Mansoor Muhammad Ismail Laboratory of Nanoscience and Technology Department of Physics International Islamic University H-10 Islamabad 44000 Pakistan Department of Basic Science University of Engineering and Technology Peshawar 26000 Pakistan Institute of Biomedical and Genetic Engineering (IBGE) Islamabad 44000 Pakistan

In this study, CeO2 nanostructures were synthesized by a soft chemical method. A hydrothermal treatment was observed to lead to an interesting morphological transformation of the nanoparticles into homogeneous microspheres composed of nanosheets with an average thickness of 40 nm. Structural analysis revealed the formation of a single-phase cubic fluorite structure of CeO2 for both samples. A Raman spectroscopic study confirmed the XRD results and furthermore indicated the presence of a large number of oxygen vacancies in the nanosheets. These oxygen vacancies led to room-temperature ferromagnetism （RTFM） of the CeO2 nanosheets with enhanced magnetic characteristics. Amazingly, the nanosheets exhibited substantially greater antibacterial activity than the nanoparticles. This greater antibacte- rial activity was attributed to greater exposure of high-surface-energy polar surfaces and to the presence of oxygen vacancies.

关键词： ceciurn oxide nanosheets chemical synthesis ferromagnetism oxygen vacancies antibacterial properties

Doping Induced Tailoring in the Morphology,Band-Gap and Ferromagnetic Properties of Biocompatible ZnO Nanowires, Nanorods and Nanoparticles

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Nano-Micro Letters 2014年第3期6卷 242-251页

作者： javed Iqbal tariq Jan Yu Ronghai Sa jjad Haider Naqvi Ishaq Ahmad Laboratory of Advanced Materials Department of Material Science and Engineering Tsinghua University Laboratory of Nanoscience and Technology Department of Physics International Islamic University Islamabad School of Materials Science and Engineering Beihang University Karachi University Nanational Center for Physics (NCP) Quaid-i-Azam University

The modification of nanostructured materials is of great interest due to controllable and unusual inherent properties in such materials. Single phase Fe doped Zn O nanostructures have been fabricated through simple, versatile and quick low temperature solution route with reproducible results. The amount of Fe dopant is found to play a significant role for the growth of crystal dimension. The effect of changes in the morphology can be obviously observed in the structural and micro-structural investigations, which may be due to a driving force induced by dipole-dipole interaction. The band gap of Zn O nanostructures is highly shifted towards the visible range with increase of Fe contents, while ferromagnetic properties have been significantly *** prepared nanostructures have been found to be nontoxic to SH-SY5 Y Cells. The present study clearly indicates that the Fe doping provides an effective way of tailoring the crystal dimension, optical band-gap and ferromagnetic properties of Zn O nanostructure-materials with nontoxic nature, which make them potential for visible light activated photocatalyst to overcome environmental pollution, fabricate spintronics devices and biosafe drug delivery agent.

关键词： ZnO Fe doping Dipole-dipole interaction Band-gap tailoring Ferromagnetism Cytotoxicity

Rumex dentatus could be a potent alternative to treatment of microbial infections and of breast cancer

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Journal of Traditional Chinese Medicine 2019年第6期39卷 772-779页

作者： Riffat Batool Ejaz Aziz Hina Salahuddin javed Iqbal Saira Tabassum tariq Mahmood University Institute of Biochemistry and Biotechnology Pir Mehr Ali Shah Arid Agriculture University RawalpindiRawalpindiPunjab 46000Pakistan Department of Botany Government Degree College KhanpurHaripur 22650Pakistan Department of Zoology University of OkaraOkara 56300Pakistan National University of Technology School of Applied Sciences and HumanitiesNational University of TechnologyIslamabad 42000Pakistan Department of Plant Sciences Faculty of Biological SciencesQuaid-i-Azam UniversityIslamabad 45320Pakistan

OBJECTIVE:To investigate the phytochemicals and in vitro antioxidant,antimicrobial and cytotoxic potential of Rumex dentatus(***)leaf ***:The total phenolics and flavonoids content of *** extracts were evaluated by the Folin-Ciocalteu and aluminum chloride colorimetric methods *** potential of studied plant extracts was assessed through 2,2-diphenyl-1-picrylhydrazyl radical scavenging capacity,total reducing power and total antioxidant ***,antibacterial and antifungal capacity was also evaluated by disc diffusion method against six clinically isolated multi-drug resistant bacterial strains as well as six fungal ***,cell cytotoxicity was also evaluated through3-(4,5-dimethylthiazolyl-2)-2,5-diphenyltetrazolium bromide ***:Ethanol extract showed highest total phenolic[(38.9±1.5)μg gallic acid equivalent/mg]and total flavonoids[(17.2±1.9)μg quercetin equivalent/mg]*** assays indicated that ethanol and methanol extracts possess potent antioxidant ***,it was observed that ethanol and hexane extracts have the potential to inhibit most of the tested multi-drug resistant bacterial strains while methanol,chloroform and hexane extracts could inhibit the growth of pathogenic fungal strains *** all the studied extracts,ethanolic extract showed highest cytotoxicity against MCF-7 cell line then Hep-2 and DU-145 cell lines by MTT assay with lowest IC50 of 47.3μg/m ***:These results suggest that *** could be a potent alternative candidate for treatment of microbial infections and for breast cancer treatment.

关键词： Rumex Atioxidants Anti-infective agents Drug resistant,multiple Cytotoxins

Enhanced Accuracy for Motor Imagery Detection Using Deep Learning for BCI

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Computers, Materials & Continua 2021年第9期68卷 3825-3840页

作者： Ayesha Sarwar Kashif javed Muhammad Jawad Khan Saddaf Rubab Oh-Young Song Usman tariq National University of Sciences and Technology(NUST) Islamabad44000Pakistan Department of Software Sejong UniversitySeoulGwangjin-guKorea College of Computer Engineering and Sciences Prince Sattam bin Abdulaziz UniversityAl-Kharj11942Saudi Arabia

Brain-Computer Interface(BCI)is a system that provides a link between the brain of humans and the hardware *** recorded brain data is converted directly to the machine that can be used to control external *** are four major components of the BCI system:acquiring signals,preprocessing of acquired signals,features extraction,and *** traditional machine learning algorithms,the accuracy is insignificant and not up to the mark for the classification of multi-class motor imagery *** major reason for this is,features are selected manually,and we are not able to get those features that give higher accuracy *** this study,motor imagery(MI)signals have been classified using different deep learning *** have explored two different methods:Artificial Neural Network(ANN)and Long Short-Term Memory(LSTM).We test the classification accuracy on two datasets:BCI competition III-dataset IIIa and BCI competition IV-dataset *** outcome proved that deep learning algorithms provide greater accuracy results than traditional machine learning *** the deep learning classifiers,LSTM outperforms the ANN and gives higher classification accuracy of 96.2%.

关键词： Brain-computer interface motor imagery artificial neural network long-short term memory classification

Statistical Histogram Decision Based Contrast Categorization of Skin Lesion Datasets Dermoscopic Images

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Computers, Materials & Continua 2021年第5期67卷 2337-2352页

作者： Rabia javed Mohd Shafry Mohd Rahim Tanzila Saba Suliman Mohamed Fati Amjad Rehman Usman tariq School of Computing Faculty of EngineeringUniversiti Teknologi Malaysia Johor Bahru81310Malaysia Department of Computer Science Lahore College for Women UniversityLahore54000Pakistan College of Computer and Information Sciences Prince Sultan UniversityRiyadh11589Saudi Arabia College of Computer Engineering and Science Prince Sattam bin Abdulaziz UniversityAlkharjSaudi Arabia

Most of the melanoma cases of skin cancer are the life-threatening form of *** is prevalent among the Caucasian group of people due to their light skin *** is the second most common cancer that hits the age group of 15–29 *** high number of cases has increased the importance of automated systems for *** diagnosis should be fast and accurate for the early treatment of *** should remove the need for biopsies and provide stable diagnostic *** requires large quantities of *** lesion datasets contain various kinds of dermoscopic images for the detection of *** publicly available benchmark skin lesion datasets,ISIC 2017,ISBI 2016,and PH2,are used for the ***,the ISIC archive and PH2 are the most challenging and demanding dermoscopic *** datasets’pre-analysis is necessary to overcome contrast variations,under or over segmented images boundary extraction,and accurate skin lesion *** this paper,we proposed the statistical histogram-based method for the pre-categorization of skin lesion *** image histogram properties are utilized to check the image contrast variations and categorized these images into high and low contrast *** two performance measures,processing time and efficiency,are computed for evaluation of the proposed *** results showed that the proposed methodology improves the pre-processing efficiency of 77%of ISIC 2017,67%of ISBI 2016,and 92.5%of PH2 datasets.

关键词： Cancer healthcare contrast enhancement dermoscopic images skin lesion low contrast images WHO