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Assessment of Biochemical and Antioxidative Status in Patients Suffering from Dengue Fever

Journal of Huazhong University of Science and Technology(Medical Sciences) 2015年第3期35卷 411-418页

作者： Mahmood Rasool Arif Malik Khalid Mahmud Khan muhammad Saeed qureshi Beenish Shabbir Sara Zahid muhammad asif Abdul Manan Sana Rashid Saima Rubab Khan Hafiz muhammad Arsalan Rabail Alam Mahwish Arooj Mahmood Husain Qazi Adeel Gulzar Ahmed Chaudhary Adel Mohammed Abuzenadah Mohammed Hussain Al-Qahtani Sajjad Karim Center of Excellence in Genomic Medicine Research Faculty of Applied Medical SciencesKing Abdulaziz University Institute of Molecular Biology and Biotechnology the University of Lahore Fatima Jinnah Medical College Sir Gangaram Hospital Lahore Institute of Molecular Biology and Biotechnology the University of Lahore Department of Biotechnology and Informatics BUITEMS Quetta 87300 Pakistan Center for Research in Molecular Medicine the University of Lahore KACST Technology Innovation Center in Personalized Medicine King Abdulaziz University Center of Excellence in Genomic Medicine Research Faculty of Applied Medical Sciences King Abdulaziz University

Summary：A multi-centred study was designed to collect dengue epidemiologic data from government and registered private hospitals/clinics and maintained archive of frozen specimens in bio-bank to be used for future dengue epidemic control program, and assess the epidemiology of dengue fever（DF） by evaluating biochemical and oxidative status of patients. ELISA Ig M antibodies test was done to confirm DF. From August 2010 to December 2011, 101 confirmed blood samples of DF patients referred to pathology lab of Jinnah Hospital Lahore were subjected to the epidemiologic assessment by evaluating the biochemical and physiological indices and alterations of circulating antioxidants. Clinical features of DF patients and effect of fever on blood components and serum proteins of liver were recorded. The hospital stay in DF, dengue hemorrhagic fever（DHF） and dengue shock syndrome（DSS） showed significant difference. Significant increases in serum alanine amino transferase（ALT）（P=0.000）, aspartate amino transferase（AST）（P=0.000）, alkaline phosphatase（ALP）（P=0.000）, malondialdehyde（MDA） along with significant decreases in total protein（TP）（P=0.000）, reduced glutathione（GSH）（P=0.000）, superoxide dismutase（SOD）, catalase（CAT）（P=0.000）, and sialic acid contents（P=0.016） were observed. A positive correlation existed between bound sialic acid levels, liver enzymes and circulating antioxidants（r=0.656, P=0.016）. In the present study, alterations of circulating antioxidants in DF suggest that DF might be a metabolic response to an acute, self-limiting tropical viral infection, and a consequence of the viral inflammatory process.

关键词： dengue fever alanine amino transferase aspartate amino transferase malondialdehyde superoxide dismutase catalase

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On ev and ve-Degree Based Topological Indices of Silicon Carbides

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Computer Modeling in Engineering & Sciences 2022年第2期130卷 871-885页

作者： Jung Rye Lee Aftab Hussain Asfand Fahad Ali Raza muhammad Imran qureshi Abid Mahboob Choonkil Park Department of Data Science Daejin UniversityKyunggi11159Korea Department of Mathematics King Abdulaziz UniversityJeddah21589Saudi Arabia Department of Mathematics COMSATS University IslamabadVehari61110Pakistan Department of Mathematics Division of Science&TechnologyUniversity of EducationLahorePakistan Research Institute for Natural Sciences Hanyang UniversitySeoul04763Korea

In quantitative structure-property relationship(QSPR)and quantitative structure-activity relationship(QSAR)studies,computation of topological indices is a vital tool to predict biochemical and physio-chemical properties of chemical *** topological indices have been inaugurated to describe different topological *** ev and ve-degree are recently introduced novelties,having stronger prediction *** this article,we derive formulae of the ev-degree and ve-degree based topological indices for chemical structure of Si_(2)C_(3)−I[a,b].

关键词： Topological indices silicon carbide ev-degree ve-degree

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Botanicals, selective insecticides, and predators to control Diaphorina citri （Hemiptera： Liviidae） in citrus orchards

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Insect Science 2014年第6期21卷 717-726页

作者： Azhar A. Khan muhammad Afzal Jawwad A. qureshi Arif M. Khan Abubakar M. Raza Department of Agricultural Entomology University of Sargodha Sargodha Pakistan Department of Entomology & Nematology Southwest Florida Research and Education Center Institute of Food and Agricultural Sciences University of Florida Immokalee Florida USA Department of Biotechnology University of Sargodha Sargodha Pakistan

The Asian citrus psyllid （ACP） Diaphorina citri Kuwayama vectors pathogens that cause huanglongbing （HLB） or citrus greening devastating and economically im- portant disease present in most citrus growing regions. Young citrus shoots are required for psyllid reproduction and development. During winter citrus trees produce little or no new growth. Overwintering adults reproduce in spring on newly emerging shoots also attractive to other pests and beneficial insects. Botanicals and relatively selective insecti- cides could help to conserve beneficial insects and reduce pest resistance to insecticides. Sprays of Azadirachtin （Neem）, Tropane （Datura）, Spirotetramat, Spinetoram, and broad- spectrum Imidacloprid were evaluated to control ACP in spring and summer on 10-year-old ＂Kinow＂ Citrus reticulata Blanco trees producing new growth. Psyllid populations were high averaging 5-9 nymphs or adults per sample before treatment application. Nymphs or adults were significantly reduced to 0.5-1.5 per sample in all treatments for 3 weeks, aver- age 61%-83% reduction. No significant reduction in ladybeetles Adalia bipunctata, Ane- glei scardoni, Cheilomenes sexmaculata, and Coccinella septempunctata was observed. Syrphids, spiders and green lacewings were reduced in treated trees except with Tropane. Studies are warranted to assess impact of these predators on ACP and interaction with insecticides. Observed reduction in ACP populations may not be enough considering its reproductive potential and role in the spread of HLB. Follow-up sprays may be required to achieve additional suppression using rotations of different insecticides.

关键词： Asian citrus psyllid biopesticides Coccinellids huanglongbing predators

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Ethnopharmacological Survey of Plants Used for the Treatment of Stomach,Diabetes,and Ophthalmic Diseases in Sudhan Gali,Kashmir,Pakistan

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云南植物研究 2006年第5期28卷 535-542页

作者： muhammad Waseem M.Amin Ullah Shah Rizwana Aleem qureshi Iqbal muhammad Rabia Afza Saeeda Yousaf World Wildlife Fund Pakistan Quaid-e-Azam University IslamabadPakistan Kohat University ofScience & Technology KohatPakistan University of Peshawar Pakistan

The present paper represents the ethnopharmacological survey of Sudhan Gali,Kashmir,*** study revealed that 12 plant species belonging to 11 families were used for the treatment of stomach,diabetes and ophthalmic diseases by the local people in Sudhan *** millefolium,Aconitum heterophyllum,Berberis lycium,Polygonum amplexicaule,Mentha longifolia,Paeonia emodi,Plantago lanceolata were locally used for stomach related problems treatment;Berberis lycium,Skimmia lareola,Solanum dulcamara for diabetes and Geranium wallichianum,Artemisia vulgaris,Solanum dulcamara,and Corydalis crassifolia used for the treatment of ophthalmic *** species Berberis lycium and Solanum dulcamara have multipurpose *** is used to treat stomach as well as diabetes while latter is used to treat not only to diabetes but also ophthalmic *** to IUCN categories,out of these 12 plant species collected and marketed,Polygonum amplexicaule and Paeonia emodi are endangered,Aconitum heterophyllum;Berberis lycium species are vulnerable while Plantago lanceolata and Skimmia lareola species are *** availability of these medicinal plants has decreased during the past 20 years and these are facing a drastic biotic pressure due to their extensive usage and non-scientific methods of *** is quite evident that these valuable native medicinal plants species are going to decline in number and ultimately will become extinct if no timely proper conservation strategies are adopted.

关键词： Medicinal plants IUCN Biotic pressure Conservation Ethnopharmacology

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Improving Thyroid Disorder Diagnosis via Ensemble Stacking and Bidirectional Feature Selection

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Computers, Materials & Continua 2024年第3期78卷 4225-4241页

作者： muhammad Armghan Latif Zohaib Mushtaq Saad Arif Sara Rehman muhammad Farrukh qureshi Nagwan Abdel Samee Maali Alabdulhafith Yeong Hyeon Gu Mohammed A.Al-masni Department of Computer and Information System Cleveland State UniversityOhio44115USA Department of Electrical Electronics and Computer SystemsCollege of Engineering and TechnologyUniversity of SargodhaSargodha40100Pakistan Department of Mechanical Engineering College of EngineeringKing Faisal UniversityAl-Ahsa31982Saudi Arabia Department of Biomedical Engineering Riphah International UniversityIslamabad44000Pakistan Department of Electrical Engineering Riphah International UniversityIslamabad44000Pakistan Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Artificial Intelligence College of Software and Convergence TechnologySejong UniversitySeoul05006Korea

Thyroid disorders represent a significant global health challenge with hypothyroidism and hyperthyroidism as two common conditions arising from dysfunction in the thyroid *** and timely diagnosis of these disorders is crucial for effective treatment and patient *** research introduces a comprehensive approach to improve the accuracy of thyroid disorder diagnosis through the integration of ensemble stacking and advanced feature selection *** forward feature selection,sequential backward feature elimination,and bidirectional feature elimination are investigated in this *** ensemble learning,random forest,adaptive boosting,and bagging classifiers are *** effectiveness of these techniques is evaluated using two different datasets obtained from the University of California Irvine-Machine Learning Repository,both of which undergo preprocessing steps,including outlier removal,addressing missing data,data cleansing,and feature *** experimentation demonstrates the remarkable success of proposed ensemble stacking and bidirectional feature elimination achieving 100%and 99.86%accuracy in identifying hyperthyroidism and hypothyroidism,*** enhancing detection accuracy,the ensemble stacking model also demonstrated a streamlined computational complexity which is pivotal for practical medical *** significantly outperformed existing studies with similar objectives underscoring the viability and effectiveness of the proposed *** research offers an innovative perspective and sets the platform for improved thyroid disorder diagnosis with broader implications for healthcare and patient well-being.

关键词： Ensemble learning random forests boosting dimensionality reduction machine learning smart healthcare computer aided diagnosis

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Changes in Phyto-Chemical Status upon Viral Infections in Plant:A Critical Review

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Phyton-International Journal of Experimental Botany 2021年第1期90卷 75-86页

作者： Tehmina Bahar Adeeba Mahboob qureshi Fasiha Qurashi Muniba Abid Misbah Batool Zahra muhammad Saleem Haider Institute of Agricultural Sciences University of the PunjabLahore54590Pakistan Department of Forestry Range and Wildlife ManagementUniversity College of Agriculture and Environmental SciencesThe Islamia University of BahawalpurBahawalpur63100Pakistan

Most damaging plant diseases have been caused by viruses in the entire *** tropical and subtropical areas,the damage caused by plant virus leads to great economic and agricultural *** stranded DNA viruses(geminiviruses)are the most perilous pathogens which are responsible for major diseases in agronomic and horticultural *** begomoviruses and mastreviruses are the biggest genus of plant infecting viruses,transmitted though Bemisia tabaci and members of Cicadellidae *** possesses some naturally existing chemicals term as phyto-chemicals which perform important functions in the *** antioxidant enzymes are used by plants for selfdefense upon foreign invasion of *** review explains the present perceptive of influence of viral infections on phyto-chemicals,oxidative enzymes and biochemical changes occurring in the *** infection mediated phytochemical changes in plants mainly includes:up and down regulation of photosynthetic pigment,increase in the concentration of phenolic compounds,elevation of starch content in the leaf and up&down regulation of anti-oxidative enzymes including(GPX)guaiacol peroxidase,(PPO)polyphenol oxidase,(APX)ascorbate peroxidase,(SOD)superoxide dismutase and(CTA)*** changes lead to initiation of hypersensitive response,by thicken of the leaf lamina,lignification under the leaf surface,blocking to stomatal openings,systematic cell death,generation of reactive oxidative species(ROS),activation of pathogen mediated resistance pathways i.e.,production of salicylic acid and jasmonic *** all the physiological changes in the plant due to viral infection supports the activation of defense mechanism of the plant to combat against viral infection by limiting virus in specific area,followed with the production of barriers for pathogen,accumulation of starch in the leaf and excess production of(ROS).These strategies used by the plant to prevent the spread of viru

关键词： Anti-oxidative enzymes defense mechanism phyto-chemicals viral infection

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Indispensable Hibi Relations and Grobner Bases

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Algebra Colloquium 2015年第4期22卷 567-580页

作者： Ayesha Asloob qureshi ] Abdus Salam School of Mathematical Sciences GC University Lahore. 68-B New Muslim "Ibwn Lahore 54600 Pakistan

In this paper we consider Hibi rings and Rees rings attached to a poset. We classify the ideal lattices of posets whose Hibi relations are indispensable and the ideal lattices of posets whose Hibi relations form a quadratic Grobner basis with respect to the rank lexicographic order. Similar classifications are obtained for Rees rings of Hibi ideals.

关键词： Hibi rings Hibi relations Gr5bner bases lattices

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Context and Machine Learning Based Trust Management Framework for Internet of Vehicles

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Computers, Materials & Continua 2021年第9期68卷 4125-4142页

作者： Abdul Rehman Mohd Fadzil Hassan Yew Kwang Hooi muhammad Aasim qureshi Tran Duc Chung Rehan Akbar Sohail Safdar Computer and Information Science Department Centre for Research and Data Science(CeRDaS)Universiti Teknologi PETRONAS32610Seri IskandarPerak Darul RidzuanMalaysia Department of Computer Science Bahria UniversityPakistan Computing Fundamental Department FPT UniversityHoa Lac Hi-Tech ParkHanoiVietnam Department of Information Systems Uiversiti Tunku Abdul RahmanMalaysia Information Technology Department College of IT AHLAI UniversityBahrain

Trust is one of the core components of any ad hoc network security *** management(TM)has always been a challenging issue in a vehicular *** such developing network is the Internet of vehicles(IoV),which is expected to be an essential part of smart *** originated from the merger of Vehicular ad hoc networks(VANET)and the Internet of things(IoT).Security is one of the main barriers in the on-road IoV *** security standards are insufficient to meet the extremely dynamic and rapidly changing IoV *** plays a vital role in ensuring security,especially during vehicle to vehicle *** networks,having a unique nature among other wireless ad hoc networks,require dedicated efforts to develop trust *** TM schemes are inflexible and *** scenarios and limited parameters are the basis for existing TM models that are not suitable for vehicle *** vehicular network requires agile and adaptive solutions to ensure security,especially when it comes to critical *** vehicle network’s wireless nature increases its attack surface and exposes the network to numerous security ***,internet involvement makes it more vulnerable to *** proposed TM framework is based on context-based cognition and machine learning to be best suited to IoV *** learning is the best solution to utilize the big data produced by vehicle *** handle the uncertainty Bayesian machine learning statistical model is *** proposed framework can adapt scenarios dynamically and infer using the maximum possible parameter *** results indicated better performance than existing TM ***,for future work,a high-level machine learning model is proposed.

关键词： Internet of vehicles(IoV) trust management(TM) vehicular ad hoc network(VANET) machine learning context awareness bayesian learning

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Triangular code:Near-optimal linear time fountain code

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Digital Communications and Networks 2023年第4期9卷 869-878页

作者： Jalaluddin qureshi Chuan Heng Foh Openbet North America MontrealCanada GIC&6GIC Institute for Communication Systems(ICS)University of SurreyGuildfordUnited Kingdom

In this paper,we propose Triangular Code(TC),a new class of fountain code with near-zero redundancy and linear encoding and decoding computational complexities of OeLklog kT,where k is the packet batch size and L is the packet data *** from previous works where the optimal performance of codes has been shown under asymptotic assumption,TC enjoys near-zero redundancy even under non-asymptotic settings for smallmoderate number of *** features make TC suitable for practical implementation in batteryconstrained devices in IoT,D2D and M2M network paradigms to achieve scalable reliability,and minimize latency due to its low decoding *** is a non-linear code,which is encoded using the simple shift and XOR addition operations,and decoded using the simple back-substitution *** it is nonlinear code at the packet level,it remains linear code when atomized at the bit *** use this property to show that the backsubstitution decoder of TC is equivalent to the Belief Propagation(BP)decoder of LT ***,TC can benefit from rich prolific literature published on LT code,to design efficient code for various *** the equivalency between the decoders of TC and LT code,we show that compared to state-of-the-art optimized LT code,TC reduces the redundancy of LT code by 68%-99% for k reaching 1024.

关键词： LT code Decoder Computational complexity Green computing Network coding

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MDEV Model:A Novel Ensemble-Based Transfer Learning Approach for Pneumonia Classification Using CXR Images

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Computer Systems Science & Engineering 2023年第7期46卷 287-302页

作者： Mehwish Shaikh Isma Farah Siddiqui Qasim Arain Jahwan Koo Mukhtiar Ali Unar Nawab muhammad Faseeh qureshi Department of Software Engineering Mehran University of Engineering and TechnologyJamshoroPakistan College of Software Sungkyunkwan UniversitySuwonKorea Department of Computer Systems Mehran University of Engineering and TechnologyJamshoroPakistan Department of Computer Education Sungkyunkwan UniversitySeoulKorea

Pneumonia is a dangerous respiratory disease due to which breathing becomes incredibly difficult and painful;thus,catching it early is *** physicians’time is limited in outdoor situations due to many patients;therefore,automated systems can be a *** input images from the X-ray equipment are also highly unpredictable due to variances in radiologists’***,radiologists require an automated system that can swiftly and accurately detect pneumonic lungs from chest *** medical classifications,deep convolution neural networks are commonly *** research aims to use deep pretrained transfer learning models to accurately categorize CXR images into binary classes,i.e.,Normal and *** MDEV is a proposed novel ensemble approach that concatenates four heterogeneous transfer learning models:Mobile-Net,DenseNet-201,EfficientNet-B0,and VGG-16,which have been finetuned and trained on 5,856 CXR *** evaluation matrices used in this research to contrast different deep transfer learning architectures include precision,accuracy,recall,AUC-roc,and *** model effectively decreases training loss while increasing *** findings conclude that the proposed MDEV model outperformed cutting-edge deep transfer learning models and obtains an overall precision of 92.26%,an accuracy of 92.15%,a recall of 90.90%,an auc-roc score of 90.9%,and f-score of 91.49%with minimal data pre-processing,data augmentation,finetuning and hyperparameter adjustment in classifying Normal and Pneumonia chests.

关键词： Deep transfer learning convolution neural network image processing computer vision ensemble learning pneumonia classification MDEV model

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