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Surface Passivation of Ti/4H-SiC Schottky Barrier Diode

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Communications in Theoretical Physics 2012年第10期58卷 577-582页

作者： muhammad Khalid Saira Riaz Shahzad naseem Microelectronics Division/Centre of Excellence in Solid State Physics School of Physical SciencesUniversity of the Punjab

Surface properties of SiC power devices mostly depend on the passivation layer(PL).This layer has direct influence on electrical characteristics of devices.2D numerical simulation of forward and reverse characteristics with and without different(PLs)(SiO2,HfO2 and Si3N4) has been *** results show that the breakdown voltage increases with increasing PL thickness,and there is a lesser significant effect on forward *** maximum breakdown voltage with and without SiO2 PL is 1240 V and 276 V,***2 PL has compatibility with SiC surface providing high breakdown voltage,6 and 8% higher than that of HfO2 and Si3N4 *** leakage current is observed which then further decreases on reducing the thickness of ***,variation of forward current with dielectric constant and thickness of PLs was ***,it is suggested that matches of our results with published experimental results indicate that the Sentaurus TCAD simulator is a predictive tool for the SiC Schottky barrier diode simulation.

关键词： Passivation breakdown voltage leakage current electric field on-resistance

Neural stem cell-based in vitro bioassay for the assessment of neurotoxic potential of water samples

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Journal of Environmental Sciences 2021年第3期33卷 72-86页

作者： muhammad Irfan Masood Natalie Tamara Hauke muhammad Jawad Nasim muhammad Sarfraz Mahrukh naseem Karl Herbert Schäfer Division of Bioorganic Chemistry School of PharmacySaarland UniversityD-66123 SaarbrückenGermany Applied Life Sciences University of Applied Sciences Kaiserslautern66482 ZweibrückenGermany ENS Group University of Applied Sciences Kaiserslautern66482 ZweibrückenGermany Abwasserverband Bergstrasse Altau 1069469 WeinheimGermany Institute of Pharmaceutical Sciences University of Veterinary and Animal Sciences54000 LahorePakistan Department of Zoology University of BalochistanQuetta 87550Pakistan

Intensive agriculture activities,industrialization and growing numbers of wastewater treatment plants along river banks collectively contribute to the elevated levels of neurotoxic pollutants in natural water reservoirs across *** established an in vitro bioassay based upon neural stem cells isolated from the subventricular zone of the postnatal mouse to evaluate the neurotoxic potential of raw wastewater,treated sewage effluent,groundwater and drinking *** toxic potential of water samples was evaluated employing viability,proliferation,differentiation and migration *** found that raw wastewater could reduce the viability and proliferation of neural stem cells,and decreased the neuronal and astrocyte differentiation,neuronal neurite growth,astrocyte growth and cell *** sewage water also showed inhibitory effects on cell proliferation and *** results indicated that relatively high concentrations of nitrogenous substances,pesticides,mercuric compounds,bisphenol-A,and phthalates,along with some other pollutants in raw wastewater and treated sewage water,might be the reason for the neuroinhibitory effects of these water *** model successfully predicted the neurotoxicity of water samples collected from different sources and also revealed that the incomplete removal of contaminants from wastewater can be problematic for the developing nervous *** presented data also provides strong evidence that more effective treatments should be used to minimize the contamination of water before release into major water bodies which may be considered as water reservoirs for human usage in the future.

关键词： Neural stem cells Subventricular zone Neurotoxicity Bioassay Treated sewage effluents Pesticides

Integrated CWT-CNN for Epilepsy Detection Using Multiclass EEG Dataset

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Computers, Materials & Continua 2021年第10期69卷 471-486页

作者： Sidra naseem Kashif Javed muhammad Jawad Khan Saddaf Rubab muhammad Attique Khan Yunyoung Nam Robotics and Machine Intelligence Engineering School of Mechanical and Manufacturing EngineeringNational University of Sciences and Technology(NUST)Islamabad44000Pakistan National University of Sciences and Technology(NUST) Islamabad44000Pakistan Department of Computer Science HITEC University TaxilaTaxilaPakistan Department of Computer Science and Engineering Soonchunhyang UniversityAsanKorea

Electroencephalography is a common clinical procedure to record brain signals generated by human *** are useful in Brain controlled interfaces and other intelligent Neuroscience applications,but manual analysis of these brainwaves is complicated and time-consuming even for the experts of *** EEG analysis and classification techniques have been proposed to address this problem however,the conventional classification methods require identification and learning of specific EEG characteristics *** learning models can learn features from data without having in depth knowledge of data and prior feature *** of the great implementations of deep learning is Convolutional Neural Network(CNN)which has outperformed traditional neural networks in pattern recognition and image *** Wavelet Transform(CWT)is an efficient signal analysis technique that presents the magnitude of EEG signals as timerelated Frequency *** deep learning architectures suffer from poor performance when classifying EEG signals in the Time-frequency *** improve classification accuracy,we propose an integrated CWT and CNN technique which classifies five types of EEG signals *** compared the results of proposed integrated CWT and CNN method with existing deep learning models e.g.,GoogleNet,VGG16,***,the accuracy and loss of the proposed integrated CWT and CNN method have been cross validated using Kfold cross *** average accuracy and loss of Kfold cross-validation for proposed integrated CWT and CNN method are,76.12%and 56.02%*** model produces results on a publicly available dataset:Epilepsy dataset by UCI(Machine Learning Repository).

关键词： Deep learning electroencephalography epilepsy continuous wavelet transform

Evaluation of potential RNA-interference-target genes to control cotton mealybug, Phenacoccus solenopsis （Hemiptera： Pseudococcuidae）

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Insect Science 2018年第5期25卷 778-786页

作者： Arif M. Khan muhammad Ashfaq Azhar A. Khan muhammad T. naseem Shahid Mansoor National Institute for Biotechnology and Genetic Engineering Faisalabad Pakistan Department of Biotechnology University of Sargodha Sargodha Pakistan Biodiversity Institute of Ontario University of Guelph Guelph Ontario Canada College of Agriculture Bahauddin Zakariya University Bahadur Campus Layyah Pakistan

RNA interference （RNAi） of vital insect genes is a potential tool for targeted pest control. However, selection of the right target genes is a challenge because the RNAi efficacy is known to vary among insect species. Cotton mealybug, Phenacoccus solenopsis, is a phloem-feeding economically important crop pest. We evaluated the RNAi of 2 vital genes, Bursicon （PsBur） and V-ATPase （Ps V-ATPase） as potential targets in P. solenopsis for its control. PCR fragments of PsBur and PsV-ATPase were amplified using cDNA synthesized from the total RNA. The PCR amplicons were cloned into Potato virus X （PVX） to develop recombinant PVX for the inoculation ofNicotiana tabacum plants for bioassays with healthy P. solenopsis. Reverse-transcription-polymerase chain reaction （RT- PCR） was used to validate the expression oftransgenes in the recombinant-PVX-inoculated plants （treated）, and suppression of the target genes in the mealybugs exposed to them. The RT-PCR confirmed the expression of transgenes in the treated plants. Mealybug individuals on treated plants either died or showed physical deformities. Further, the population of mealybug was significantly reduced by feeding on N. tabacum expressing RNAi triggers against PsBur and Ps V-A TPase. The results conclude that RNAi is activated in P. solenopsis by feeding on N. tabacum expressing RNAi triggering elements of PsBur and Ps V-ATPase genes through recombinant PVX vector. Further, V-ATPase and Bursicon genes are potential targets for RNAi-mediated control ofP. solenopsis.

关键词： insect control phloem feeders Potato virus X RT-PCR transgenic crops

An updated review on pharmacological activities and phytochemical constituents of evening primrose(genus Oenothera)

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Asian Pacific Journal of Tropical Biomedicine 2017年第11期7卷 1046-1054页

作者： Rebecca Munir Nabil Semmar muhammad Farman naseem Saud Ahmad Department of Pharmacology University of Health SciencesLahore Pakistan Laboratory of Bioinformatics Biomathematics and Biostatistics Pasteur Institute of Tunis University of Tunis El Manar

Genus Oenothera includes medicinal plants that are distributed throughout the world and are known since ancient times. Popular indications of different species of this genus include treatment of inflammations, diabetes, microbial infections, ulcers, tumors, kidney and liver problems. The plants of this genus are a botanical source for various pharmaceutically active components like sterols, alkaloids, phenolic acids, flavonoids, triterpenoids, saponins, biflavonols and tocopherols. This review article is a compilation of chemical composition and biological activities of the various species of the genus Oenothera.

关键词： Oenothera Medicinal plants Chemical composition Biological activities

The Mechanism of Green Supply Chain Management and the Impact on Business Performance-based on Textile Manufacturing Enterprises in Pakistan

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The Mechanism of Green Supply Chain Management and the Impac...

作者： muhammad Hamza naseem 武汉纺织大学

学位级别：硕士

The aggravation of environmental pollution is one of the most important issues in the *** order to manage problems related to industrial activities,several methods,techniques and methods have been *** supply chain management is viewed as one of the most important environmental concern strategy or activity used by companies all over the ***,the usage,awareness and implementation of Green supply chain management practices in Pakistan and other different under-developing countries is still in early *** of knowledge as for its impact on economic performance,it is precisely because the industry is afraid to implement these *** drive of this research is to comprehend the dimensions of Green supply chain management,their mechanism and impact on firm Performance specifically the SME's of Pakistan textile *** Supply Chain Management is a emerging trend in Manufacturing *** in global markets generates the need of implementing GSCM and enterprises focuses on the developing & producing sustainable *** are different environmental issues that must be take into consideration while start production of a product because the aim of GSCM is to protect environment from harmful gases,chemicals and materials that are used or sometimes waste during the Production process.“GSCM is defined as integrating environmental thinking into supply-chain management,including product design,material sourcing and selection,manufacturing processes,delivery of final products as well as end-of-life management of product after its useful life.” Studies have been conducted in other countries relating to Green supply chain competence,components,practices and organizational performance in relation to manufacturing ***,in developing countries,more specifically in Pakistan limited research has been conducted in this *** study addresses that knowledge *** study was a descriptive survey as it was concerned

关键词： Green supply chain Environmental concerns Organizational Performance

Numerical Treatment for Stochastic Computer Virus Model

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Computer Modeling in Engineering & Sciences 2019年第8期120卷 445-465页

作者： Ali Raza muhammad Shoaib Arif muhammad Rafiq Mairaj Bibi muhammad Naveed muhammad Usman Iqbal Zubair Butt Hafiza Anum naseem Javeria Nawaz Abbasi Department of Mathematics Stochastic Analysis&Optimization Research GroupAir UniversityPAF Complex E-9IslamabadPakistan Faculty of Engineering University of Central Punjab LahorePakistan Department of Mathematics Comsats UniversityPark Road Chak Shahzad CampusIslamabadPakistan Faculty of Computing National College of Business Administration and Economics LahorePakistan

This writing is an attempt to explain a reliable numerical treatment for stochastic computer virus *** are comparing the solutions of stochastic and deterministic computer virus *** paper reveals that a stochastic computer virus paradigm is pragmatic in contrast to the deterministic computer virus *** of threshold number C^?hold in stochastic computer virus *** C^?1 shows virus persists in the computer ***,stochastic numerical methods fail to cope with large step sizes of *** suggested structure of the stochastic non-standard finite difference scheme(SNSFD)maintains all diverse characteristics such as dynamical consistency,boundedness and positivity as defined by *** numerical treatment for the stochastic computer virus model manifested that increasing the antivirus ability ultimates small virus dominance in a computer community.

关键词： Computer virus,euler maruyama scheme stochastic differential equations stochastic euler scheme stochastic runge-kutta scheme stochastic NSFD scheme stability

PCR Targeting of Antibiotic Resistant Bacteria in Public Drinking Water of Lahore Metropolitan,Pakistan

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Biomedical and Environmental Sciences 2009年第6期22卷 458-463页

作者： ZAHOOR QADIR SAMRA MARIAM naseem SUMARIA JAVED KHAN NADIA DAR muhammad AMIN ATHAR Institute of Biochemistry and Biotechnology Quaid-i-Azam CampusUniversity of the PunjabLahore 54590Pakistan Jinnah Degree College for Women Mozang RoadLahorePakistan

Objective To investigate the prevalence of kanamycin （kan） and ampicillin （amp） resistant bacteria in public drinking water. Methods Bacteria containing kan and amp resistant genes were amplified by PCR and further characterized by colony hybridization and transformation studies. The genus of kan and amp resistant bacteria was determined with standard methods. Results Among the 625 drinking water samples, 400 contained kan and amp resistant bacteria and the percentage was 42.5% and 57.5%, respectively, which was further confirmed by the amplification of a 810 bp kan resistant gene and a 850 bp amp resistant gene. Of the 170 kan resistant bacteria, 90 were Gram negative and 80 were Gram positive. Of the 230 amp resistant bacteria, 160 were Gram negative while 70 were Gram positive. Salmonella, Shigella, Staphylococcus, Streptococcus, and *** were detected as 13%, 11%, 17%, 30%, and 29%, respectively. Bacterial strain DH5α transformed with plasmids isolated from kan and amp resistant bacteria confirmed that the antibiotic resistant genes were mediated by plasmids. Conclusion Drinking water is contaminated with kan and amp resistant bacteria due to poor sanitary conditions.

关键词： Kanamycin Ampicillin PCR Plasmid Colony hybridization

Heart Disease Diagnosis Using the Brute Force Algorithm and Machine Learning Techniques

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Computers, Materials & Continua 2022年第8期72卷 3195-3211页

作者： Junaid Rashid Samina Kanwal Jungeun Kim muhammad Wasif Nisar Usman naseem Amir Hussain Department of Computer Science and Engineering Kongju National UniversityCheonan31080Korea Department of Computer Science COMSATS University IslamabadWah Campus47040Pakistan School of Computer Science University of SydneySydneyNSW 2006Australia Centre of AI and Data Science Edinburgh Napier UniversityEdinburghEH114DYUK

Heart disease is one of the leading causes of death in the world *** of heart disease is a prominent topic in the clinical data *** increase patient survival rates,early diagnosis of heart disease is an important field of research in the medical *** are many studies on the prediction of heart disease,but limited work is done on the selection of *** selection of features is one of the best techniques for the diagnosis of heart *** this research paper,we find optimal features using the brute-force algorithm,and machine learning techniques are used to improve the accuracy of heart disease *** performance evaluation,accuracy,sensitivity,and specificity are used with split and cross-validation *** results of the proposed technique are evaluated in three different heart disease datasets with a different number of records,and the proposed technique is found to have superior *** selection of optimized features generated by the brute force algorithm is used as input to machine learning algorithms such as Support Vector Machine(SVM),Random Forest(RF),K Nearest Neighbor(KNN),and Naive Bayes(NB).The proposed technique achieved 97%accuracy with Naive Bayes through split validation and 95%accuracy with Random Forest through *** Bayes and Random Forest are found to outperform other classification approaches when accurately *** results of the proposed technique are compared with the results of the existing study,and the results of the proposed technique are found to be better than other ***,our proposed approach plays an important role in the selection of important features and the automatic detection of heart disease.

关键词： Heart disease brute force machine learning feature selection