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Computers, Materials & Continua 2024年第2期78卷 2441-2468页

作者： Vaishnawi Priyadarshni Sanjay Kumar Sharma Mohammad Khalid Imam Rahmani Baijnath Kaushik Rania Almajalid Department of Computer Science Gautam Buddha UniversityGreater NoidaUttar PradeshIndia College of Computing and Informatics Saudi Electronic UniversityRiyadh11673Saudi Arabia school of Computer Science Shri Vaishno Devi UniversityKatraIndia

Breast cancer(BC)is one of the leading causes of death among women worldwide,as it has emerged as the most commonly diagnosed malignancy in *** detection and effective treatment of BC can help save women’s *** an efficient technology-based detection system can lead to non-destructive and preliminary cancer detection *** paper proposes a comprehensive framework that can effectively diagnose cancerous cells from benign cells using the Curated Breast Imaging Subset of the Digital Database for Screening Mammography(CBIS-DDSM)data *** novelty of the proposed framework lies in the integration of various techniques,where the fusion of deep learning(DL),traditional machine learning(ML)techniques,and enhanced classification models have been deployed using the curated *** analysis outcome proves that the proposed enhanced RF(ERF),enhanced DT(EDT)and enhanced LR(ELR)models for BC detection outperformed most of the existing models with impressive results.

关键词： Autoencoder breast cancer deep neural network convolutional neural network image processing machine learning deep learning

Atherosclerotic plaque classification in carotid ultrasound images using machine learning and explainable deep learning

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Intelligent Medicine 2024年第2期4卷 83-95页

作者： Soni Singh Pankaj K.Jain Neeraj Sharma Mausumi Pohit Sudipta Roy school of Vocational Studies and Applied Sciences Gautam Buddha UniversityGreater NoidaUttar PradeshIndia Artificial Intelligence and Data Science Jio Institute Navi MumbaiMaharashtraIndia school of Biomedical Engineering Indian Institute of TechnologyVaranasiUttar PradeshIndia

Objective The incidence of cardiovascular diseases(CVD)is rising rapidly *** forms of CVD,such as stroke and heart attack,are more common among patients with certain *** development is a major factor underlying cardiovascular events,such as heart attack and stroke,and its early detection may prevent such *** imaging of carotid arteries is a useful method for diagnosis of atherosclerotic plaques;however,an automated method to classify atherosclerotic plaques for evaluation of early-stage CVD is ***,we propose an automated method for classification of high-risk atherosclerotic plaque ultrasound *** Five deep learning(DL)models(VGG16,ResNet-50,GoogLeNet,XceptionNet,and SqueezeNet)were used for automated classification and the results compared with those of a machine learning(ML)-based technique,involving extraction of 23 texture features from ultrasound images and classification using a Support Vector Machine *** enhance model interpretability,output gradient-weighted convolutional activation maps(GradCAMs)were generated and overlayed on original *** A series of indices,including accuracy,sensitivity,specificity,F1-score,Cohen-kappa index,and area under the curve values,were calculated to evaluate model *** output images allowed visualization of the most significant ultrasound image *** GoogLeNet model yielded the highest accuracy(98.20%).Conclusion ML models may be also suitable for applications requiring low computational ***,DL models could be more completely automated than ML models.

关键词： Explainable deep learning Carotid artery Classification VGG 16 ResNet-50 GoogLeNet XceptionNet SqueezeNet

Chemical profiling of bioactive compounds in the methanolic extract of wild leaf and callus of Vitex negundo using gas chromatographymass spectrometry

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World Journal of Experimental Medicine 2024年第1期14卷 78-87页

作者： Gunjan Garg Alok Bharadwaj Shweta Chaudhary Veena Gupta school of biotechnology Gautam Buddha UniversityGreater Noida 201312Uttar PradeshIndia biotechnology GLA UniversityMathura 281406Uttar PradeshIndia Division of Germplasm Conservation Indian Council of Agricultural Research-National Bureau of Plant Genetic ResourcesNew Delhi 110012New DelhiIndia

BACKGROUND The investigation of plant-based therapeutic agents in medicinal plants has revealed their presence in the extracts and provides the vision to formulate novel techniques for drug *** negundo(***),a perennial herb belonging to the Varbanaceae family,is extensively used in conventional *** To determine the existence of therapeutic components in leaf and callus extracts from wild *** plants using gas chromatography-mass spectrometry(GCMS).METHODS In this study,we conducted GC-MS on wild plant leaf extracts and correlated the presence of constituents with those in callus *** growth regulators such as 6-benzylaminopurine(BAP),2,4-dichlorophenoxyacetic acid(2,4-D),α-naphthylacetic acid(NAA),and di-phenylurea(DPU)were added to plant leaves and in-vitro callus and grown on MS *** The results clearly indicated that the addition of BAP(2.0 mg/L),2,4-D(0.2 mg/mL),DPU(2.0 mg/L)and 2,4-D(0.2 mg/mL)in MS medium resulted in rapid callus *** plant profile of Vitex extracts by GC-MS analysis showed that 24,10,and 14 bioactive constituents were detected in the methanolic extract of leaf,green callus and the methanolic extract of white loose callus,*** Octadecadienoic acid,hexadecanoic acid and methyl ester were the major constituents in the leaf and callus methanolic *** acid was the most common constituent in all *** maximum concentration of octadecadienoic acid in leaves,green callus and white loose callus was 21.93%,47.79%and 40.38%,*** findings demonstrate that the concentration of octadecadienoic acid doubles in-vitro compared to *** addition to octadecadienoic acid;butyric acid,benzene,1-methoxy-4-(1-propenyl),dospan,tridecanedialdehyde,methylcyclohexenylbutanol,chlorpyrifos,n-secondary terpene diester,anflunine and other important active compounds were also *** these components were only available in callus formed in-vit

关键词： Leaf extracts Callus extracts Methanolic extract Octadecadienoic acid Hexadecanoic acid Methyl ester Gas chromatography-mass spectrometry analysis

Smoking under hypoxic conditions: a potent environmental risk factor for inflammatory and autoimmune diseases

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Military Medical Research 2018年第3期5卷 263-278页

作者： Md.Saddam Hussain Vishwas Tripathi school of biotechnology Gautam Buddha University

Autoimmune disease management presents a significant challenge to medical science. Environmental factors potentially increase the risk of developing inflammatory and autoimmune diseases, such as multiple sclerosis, rheumatoid arthritis, and lupus. Among various environmental stresses, cigarette smoke and hypoxia have both been reported to lead to an enhanced risk of inflammatory and autoimmune diseases. In this review, we shed light on all reported mechanisms whereby cigarette smoke and a hypoxic environment can induce inflammatory and autoimmune diseases and discuss how hypoxic conditions influence the cigarette smoke-induced threat of inflammatory and autoimmune disease development. Cigarette smoke and hypoxia both lead to increased oxidative stress and production of reactive oxygen species and other free radicals, which have various effects including the generation of autoreactive pro-inflammatory T cells and autoantibodies, reductions in T regulatory(Treg) cell activity, and enhanced expression of pro-inflammatory mediators [e.g., interleukin-6(IL-6), interleukin-4(IL-4) and interleukin-8(IL-8)]. Accordingly, smoking and hypoxic environments may synergistically act as potent environmental risk factors for inflammatory and autoimmune diseases. To our knowledge, no studies have reported the direct association of cigarette smoke and hypoxic environments with the risk of developing inflammatory and autoimmune diseases. Future studies exploring the risk of autoimmune disease development in smokers at high altitudes, particularly military personnel and mountaineers who are not acclimatized to high-altitude regions, are required to obtain a better understanding of disease risk as well as its management.

关键词： Inflammatory and autoimmune diseases Cigarette smoke Hypobaric hypoxia Oxidative stress Epigenetic modifications Pro-inflammatory mediators Autoantibody

Restoration of established systemic inflammation and autoimmunity by Foxp3^(+) regulatory T cells

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Cellular & Molecular Immunology 2022年第2期19卷 133-135页

作者： Varun Kumar Sharma Jagadeesh Bayry Department of biotechnology&Microbiology School of SciencesNoida International University-NIUGautam Budh Nagar-201308NoidaUttar PradeshIndia

Immune tolerance ensures the disease-free status of an individual by preventing the appearance of pathological conditions,such as autoimmune and inflammatory *** the various players implicated in the maintenance of immune tolerance,CD4^(+)CD25^(+)regulatory T(Treg)cells that express the X-linked transcription factor Forkhead box P3(Foxp3)play a major ***3 governs the functions of Treg *** fact,a deficiency in Treg cells due to mutations in FoxP3 leads to fatal autoimmune and inflammatory conditions in humans called immunodysregulation polyendocrinopathy enteropathy x-linked(IPEX)*** observations have also been made in mice,in which FoxP3 deficiency leads to autoimmune pathology and death early in *** addition,various mutations in Treg-associated immunoregulatory molecules lead to inflammatory conditions[1].

关键词： Foxp3 FoxP3 inflammation

Performance analysis of an improved dynamic power management model in wireless sensor node

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Digital Communications and Networks 2017年第1期3卷 19-29页

作者： Anuradha Pughat Vidushi Sharma school of Information and Communication Technology Gautam Buddha University Greater Noida India

The energy consumption in the wireless sensor networks is a very critical issue which attracts immediate attention for the sake of the growing demand of the billion dollar market in future. The Dynamic Power Management (DPM) technique is a way of controlling and saving the energy usage in a sensor node. Previously, researchers have proposed lifetime improving stochastic models for wireless sensor networks and limited work has been done focusing on the wireless sensor node. This paper proposes an analyser based Semi-Markov model for DPM in the event-driven sensor node. The power consumption comparison with previously proposed models without this analyser shows the analyser significant contributes to lifetime improvement. The improved model is more power efficient, presents how the DPM model observes the input event arrival and power states of the sensor node components, and then dynamically manages the power consumption of the overall system. Further, to observe the effect of event arrival, missed events, waiting time, processor utilization on the power consumption and lifetime, the proposed DPM system with the single server queuing model is developed.

关键词： Dynamic power management Stochastic model Lifetime improvement Event driven Power consumption Wireless sensor node Analyser based Event arrival Simulation model Power analysis

Big Data Analytics Using Swarm-Based Long Short-Term Memory for Temperature Forecasting

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Computers, Materials & Continua 2022年第5期71卷 2347-2361页

作者： Malini M.Patil P.M.Rekha Arun Solanki Anand Nayyar Basit Qureshi JSS Academy of Technical Education Bengaluru560060India gautam buddha university Greater Noida201312India Graduate school Duy Tan UniversityDa Nang550000Vietnam Faculty of Information Technology Duy Tan UniversityDa Nang550000Vietnam College of Computer&Info Sc Prince Sultan UniversitySaudi Arabia

In the past few decades,climatic changes led by environmental pollution,the emittance of greenhouse gases,and the emergence of brown energy utilization have led to global *** warming increases the Earth’s temperature,thereby causing severe effects on human and environmental conditions and threatening the livelihoods of millions of *** warming issues are the increase in global temperatures that lead to heat strokes and high-temperature-related diseases during the summer,causing the untimely death of thousands of *** forecast weather conditions,researchers have utilized machine learning algorithms,such as autoregressive integrated moving average,ensemble learning,and long short-term memory *** techniques have been widely used for the prediction of *** this paper,we present a swarm-based approach called Cauchy particle swarm optimization(CPSO)to find the hyperparameters of the long shortterm memory(LSTM)*** hyperparameters were determined by minimizing the LSTM validationmean square error *** optimized hyperparameters of the LSTM were used to forecast the temperature of Chennai *** proposed CPSO-LSTM model was tested on the openly available 25-year Chennai temperature *** experimental evaluation on MATLABR2020a analyzed the root mean square error rate and mean absolute error to evaluate the forecasted *** proposed CPSO-LSTM outperforms the traditional LSTM algorithm by reducing its computational time to 25 min under 200 epochs and 150 hidden neurons during *** proposed hyperparameter-based LSTM can predict the temperature accurately by having a root mean square error(RMSE)value of 0.250 compared with the traditional LSTM of 0.35 RMSE.

关键词： Climatic change big data temperature forecasting swarm intelligence deep learning

Visualizing the Transport of Porcine Reproductive and Respiratory Syndrome Virus in Live Cells by Quantum Dots-Based Single Virus Tracking

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Virologica Sinica 2020年第4期35卷 407-416页

作者： Zhenpu Liang Pengjuan Li Caiping Wang Deepali Singh Xiaoxia Zhang College of Life Sciences Key Laboratory of Enzyme Engineering of Agricultural Microbiology(Ministry of Agriculture)Henan Agricultural UniversityZhengzhou 450000China school of biotechnology Gautam Buddha UniversityGreater Noida 201312India

Quantum dots(QDs)-based single particle analysis technique enables real-time tracking of the viral infection in live cells with great sensitivity over a long period of *** porcine reproductive and respiratory syndrome virus(PRRSV)is a small virus with the virion size of 40–60 nm which causes great economic losses to the swine industry worldwide.A clear understanding of the viral infection mechanism is essential for the development of effective antiviral *** this study,we labeled the PRRSV with QDs using the streptavidin–biotin labeling system and monitored the viral infection process in live *** results indicated that the labeling method had negligible effect on viral *** also observed that prior to the entry,PRRSV vibrated on the plasma membrane,and entered the cells via endosome mediated cell entry *** moved in a slow–fast–slow oscillatory movement pattern and finally accumulated in a perinuclear region of the *** results also showed that once inside the cell,PRRSV moved along the microtubule,microfilament and vimentin cytoskeletal *** the transport process,virus particles also made contacts with non-muscle myosin heavy chainⅡ-A(NMHCⅡ-A),visualized as small spheres in *** study can facilitate the application of QDs in virus infection imaging,especially the smaller-sized viruses and provide some novel and important insights into PRRSV infection mechanism.

关键词： Single virus tracking Quantum dots(QDs) Biotinylation Porcine reproductive and respiratory syndrome virus(PRRSV) Transport

Natural compounds as potential inhibitors of SARS-CoV-2 main protease: An insilico study

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Asian Pacific Journal of Tropical Biomedicine 2021年第4期11卷 155-163页

作者： Amaresh Mishra Yamini Pathak Anuj Kumar Surabhi Kirti Mishra Vishwas Tripathi school of biotechnology Gautam Buddha UniversityGreater Noida-201310India Bioinformatics Laboratory Uttarakhand Council for BiotechnologyBiotech BhawanPantnagarU.S.NagarUttarakhand-263145India Advanced Centre for Computational and Applied biotechnology Uttarakhand Council for BiotechnologyDehradun-248007India school of biotechnology Jawaharlal Nehru UniversityNew DelhiIndia

Objective:To explore natural compounds as potential inhibitors against main protease(Mpro)of ***:In the current study,systematic molecular docking analysis was conducted using AutoDock 4.2 to determine the binding affinities and interactions between natural compounds and *** natural compounds were further validated using a combination of molecular dynamic(MD)simulations and molecular mechanic Poisson-Boltzmann surface area(MM/PBSA)free energy c alculation ***:Out of twenty natural compounds,four natural metabolites namely,amentoflavone,guggulsterone,puerarin,and piperine were found to have strong interaction with Mpro of SARS-CoV-2 based on docking *** MD simulations,all four natural compounds bound to Mpro at 50 ns and MM/G/P/BSA free energy calculations showed that all four shortlisted ligands had stable and favorable energies with strong binding to Mpro ***:Guggulsterone is a potential inhibitor of COVID-19 main protease *** in vitro and pre-clinical studies are needed.

关键词： SARS-CoV-2 COVID-19 Amentoflavone Guggulsterone Puerarin Piperine

Oxidative Stress Responsive <i>SERK1</i>Gene Directs the Progression of Somatic Embryogenesis in Cotton (<i>Gossypium hirsutum</i>L. cv. Coker 310)

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American Journal of Plant Sciences 2014年第1期5卷 80-102页

作者： Dhananjay K. Pandey Bhupendra Chaudhary school of biotechnology Gautam Buddha University Greater Noida India

Somatic embryogenesis (SE) is a prominent mode of regeneration in plants. The acquisition of SE is predominantly invoked by the oxidative stress which plays an important role in signal transduction and cellular redox. Since balanced generation of oxidants is important to cellular differentiation, modulation in cell redox could be responsive to genotypic refinement for SE. To study the dynamics of cellular redox during SE, we conducted comparative expression analyses of cotton (Gossypium hirsutum), using two independently purified near-isogenic lines for the trait of SE. We interrogated expression changes in cell-signaling factor Somatic Embryogenesis Receptor Kinase (SERK) and activity of antioxidant Glutathione in different developmental stages including cotyledonary leaf, calli from different stages of regeneration of fully-regenerating (FR) and non-regenerating (NR) lines of Coker310 cultivar. At evolutionary scale, the cotton SERKs showed high sequence similarity in receptor kinase domain with diverse systems. Exclusively, SERK1 responsible for potential signaling processes during SE revealed significant expression up-regulation in the embryogenic calli of FR line. Similarly, activity of antioxidant glutathione was substantially up-regulated in embryogenic calli of FR line in comparison to its counterpart form. In contrast, calli from early-stages of regeneration of both FR and NR lines had no significant influences on the regulation of SERK and glutathione levels prior to the acquisition of embryogenesis. These results highlight that in vitro purification of FR line in cotton for enhanced regeneration potential (through SE) resulted in signaling and metabolic transformations of the manner in which cellular redox levels have become modulated.

关键词： Cotton Somatic Embryogenesis SERK Antioxidant