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Role of renin-angiotensin system/angiotensin converting enzyme-2 mechanism and enhanced COVID-19 susceptibility in type 2 diabetes mellitus

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World Journal of Diabetes 2024年第4期15卷 606-622页

作者： ashwin kumar shukla Komal Awasthi Kauser Usman Monisha Banerjee Molecular and Human Genetics Laboratory Department of ZoologyUniversity of LucknowLucknow 226007Uttar PradeshIndia Department of Medicine King Georges’Medical UniversityLucknow 226003Uttar PradeshIndia Institute of Advanced Molecular Genetics and Infectious Diseases(IAMGID)University of LucknowLucknow 226007Uttar PradeshIndia

Coronavirus disease 2019(COVID-19)is a disease that caused a global pandemic and is caused by infection of severe acute respiratory syndrome coronavirus 2 *** has affected over 768 million people worldwide,resulting in approx-imately 6900000 ***-risk groups,identified by the Centers for Disease Control and Prevention,include individuals with conditions like type 2 diabetes mellitus(T2DM),obesity,chronic lung disease,serious heart conditions,and chronic kidney *** indicates that those with T2DM face a hei-ghtened susceptibility to COVID-19 and increased mortality compared to non-diabetic *** the renin-angiotensin system(RAS),a vital regulator of blood pressure and pulmonary stability,reveals the significance of the angiotensin-converting enzyme(ACE)and ACE2 *** converts angiotensin-I to the vasoconstrictor angiotensin-II,while ACE2 counters this by converting angiotensin-II to angiotensin 1-7,a *** ACE2 exp-ression,common in diabetes,intensifies RAS activity,contributing to conditions like inflammation and *** ACE inhibitors and angiotensin receptor blockers can be therapeutically beneficial by increasing ACE2 levels,concerns arise regarding the potential elevation of ACE2 receptors on cell membranes,potentially facilitating COVID-19 *** review explored the role of the RAS/ACE2 mechanism in amplifying severe acute respiratory syndrome cor-onavirus 2 infection and associated complications in *** treatment strategies,including recombinant human ACE2 therapy,broad-spectrum antiviral drugs,and epigenetic signature detection,are discussed as promising avenues in the battle against this pandemic.

关键词： Angiotensin-converting enzyme 2 Angiotensin-converting enzyme inhibitors Angiotensin-II receptor blockers Complex diseases COVID-19 Type 2 diabetes

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Translocator protein and neurodegeneration: insights from Alzheimer’s disease

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Neural Regeneration Research 2025年第4期20卷 1090-1091页

作者： Arpit kumar Pradhan Rainer Rupprecht Gerhard Rammes Klinik für Anaesthesiologie und Intensivmedizin der Technischen Universität München Klinikum rechts der IsarMunichGermany Graduate School of Systemic Neurosciences Ludwig-Maximilians-Universität MünchenMartinsriedGermany Department of Psychiatry and Psychotherapy University RegensburgRegensburgGermany

The 18 kDa translocator protein(TSPO)located on the outer mitochondrial membrane regulates several key cellular processes including mitochondrial homeostasis,cholesterol transport,apoptosis,cell proliferation,and maintenance of mitochondrial health(Rupprecht et al.,2022,2023).TSPO is expressed in both peripheral organs and the central nervous system,with a more pronounced expression in tissues that produce *** main reason why TSPO has garnered so much attention is because it plays a key role in neurosteroidogenesis by transferring cholesterol from the outer to the inner mitochondrial membrane,which is the rate-limiting step in neurosteroid synthesis.A cholesterol-recognizing amino acid consensus domain has been identified in the cytosolic C terminus of the TSPO protein by both in vitro and site-directed mutagenesis experiments(Li et al.,2001).However,the role of TSPO in the process of neurosteroid synthesis has been challenged by several studies,particularly TSPO knockout models,which suggest that TSPO removal does not affect the phenotype or the system’s viability(Tu et al.,2014).However,ligands targeting TSPO have been shown to enhance levels of neurosteroids which suggests that neurosteroidogenesis is one of the major functional roles mediated by the TSPO protein.

关键词： cholesterol organs

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Masked Face Recognition Using MobileNet V2 with Transfer Learning

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Computer Systems Science & Engineering 2023年第4期45卷 293-309页

作者： Ratnesh kumar shukla Arvind kumar Tiwari Department of Computer Science&Engineering Dr.APJ Abdul Kalam Technical UniversityLucknow226021India Department of Computer Science&Engineering KNITSultanpur228118Uttar PradeshIndia

Corona virus(COVID-19)is once in a life time calamity that has resulted in thousands of deaths and security *** are using face masks on a regular basis to protect themselves and to help reduce corona virus *** the on-going coronavirus outbreak,one of the major priorities for researchers is to discover effective *** important parts of the face are obscured,face identification and verification becomes exceedingly *** suggested method is a transfer learning using MobileNet V2 based technology that uses deep feature such as feature extraction and deep learning model,to identify the problem of face masked *** the first stage,we are applying face mask detector to identify the face ***,the proposed approach is applying to the datasets from Canadian Institute for Advanced Research10(CIFAR10),Modified National Institute of Standards and Technology Database(MNIST),Real World Masked Face Recognition Database(RMFRD),and Stimulated Masked Face Recognition Database(SMFRD).The proposed model is achieving recognition accuracy 99.82%with proposed *** article employs the four pre-programmed models VGG16,VGG19,ResNet50 and *** extract the deep features of faces with VGG16 is achieving 99.30%accuracy,VGG19 is achieving 99.54%accuracy,ResNet50 is achieving 78.70%accuracy and ResNet101 is achieving 98.64%accuracy with own *** comparative analysis shows,that our proposed model performs better result in all four previous existing *** fundamental contribution of this study is to monitor with face mask and without face mask to decreases the pace of corona virus and to detect persons using wearing face masks.

关键词： Convolutional Neural Network(CNN) deep learning face recognition system COVID-19 dataset and machine learning based models

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Molecules against COVID-19:An in Silico Approach for Drug Development

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Journal of Electronic Science and Technology 2021年第1期19卷 14-24页

作者： Rhythm Bharti Sandeep kumar shukla the Sri Venkateswara College University of DelhiNew Delhi 110021. The Institute of Nuclear Medicine and Allied Sciences Defence Research and Development OrganizationDelhi 110054

A large number of deaths have been caused by the severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)worldwide,turning it into a serious and momentous threat to public *** study tends to contribute to the development of effective treatment strategies through a computational approach,investigating the mechanisms in relation to the binding and subsequent inhibition of SARS-CoV-2 ribonucleic acid(RNA)-dependent RNA polymerase(RdRp).Molecular docking was performed to screen six naturally occurring molecules with antineoplastic properties(Ellipticine,Ecteinascidin,Homoharringtonine,Dolastatin 10,Halichondrin,and Plicamycin).Absorption,distribution,metabolism,and excretion(ADME)investigation was also conducted to analyze the druglike properties of these *** docked results have clearly shown binding of ligands to the SARS-CoV-2 RdRp ***,all ligands were found to obey Lipinski’s rule of *** results provide a basis for repurposing and using molecules,derived from plants and animals,as a potential treatment for the coronavirus disease 2019(COVID-19)infection as they could be effective therapeutics for the same.

关键词： Coronavirus disease 2019(COVID-19) drug repurposing,molecular docking natural therapeutics RNA-dependent RNA polymerase(RdRp) severe acute respiratory syndrome coronavirus 2(SARS-CoV-2).

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Electron Paramagnetic Resonance and Optical Absorption of VO2+Doped Ammonium Selenate Single Crystals

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Chinese Physics Letters 2011年第3期28卷 203-206页

作者： Ram Kripal Ashutosh kumar shukla Department of Physics University of AllahabadAllahabad 211002India Department of Physics Ewing Christian CollegeAllahabad 211003India

An electron paramagnetic resonance study of vanadyl ions doped in ammonium selenate single crystals is carried out at room *** is found that the VO^(2+)ion takes up an interstitial *** spin Hamiltonian parameters obtained from the crystal rotations are g‖=1.9576±0.0002,g⊥=1.9889±0.0002,A‖=203±2 G,A⊥=78±2 *** optical absorption study is also carried out to evaluate various bonding *** the basis of these parameters the nature of bonding in the complex is discussed.

关键词： temperature parameters bonding

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The general class of Bianchi cosmological models with viscous fluid and particle creation in Brans-Dicke theory

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Research in Astronomy and Astrophysics 2014年第5期14卷 533-552页

作者： Raghavendra Chaubey Anjani kumar shukla DST-Centre for Interdisciplinary Mathematical Sciences Faculty of Science Banaras Hindu University Varanasi India

This paper deals with the general class of Bianchi cosmological models with bulk viscosity and particle creation described by full causal thermodynamics in Brans-Dicke theory. We discuss three types of average scale-factor solutions for the general class of Bianchi cosmological models by using a special law for the deceler- ation parameter which is linear in time with a negative slope. The exact solutions to the corresponding field equations are obtained in quadrature form and solutions to the Einstein field equations are obtained for three different physically viable cosmologies. All the physical parameters are calculated and discussed in each model.

关键词： cosmology theory

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Deep Neural Network and Pseudo Relevance Feedback Based Query Expansion

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Computers, Materials & Continua 2022年第5期71卷 3557-3570页

作者： Abhishek kumar shukla Sujoy Das Department of Mathematics Bio-Informatics and Computer ApplicationsMaulana Azad National Institute of Technology BhopalBhopalMadhya Pradesh462003India

The neural network has attracted researchers immensely in the last couple of years due to its wide applications in various areas such as Data mining,Natural language processing,Image processing,and Information retrieval *** embedding has been applied by many researchers for Information retrieval *** this paper word embedding-based skip-gram model has been developed for the query expansion *** terms are obtained from the top“k”initially retrieved documents using the Pseudo relevance feedback model and then they are trained using the skip-gram model to find the expansion terms for the user *** performance of the model based on mean average precision is *** proposed model compares with other existing *** improvement of 6.61%,6.93%,and 9.07%on MAP value is observed compare to the Original query,BM25 model,and query expansion with the Chi-Square model *** proposed model also retrieves 84,25,and 81 additional relevant documents compare to the original query,query expansion with Chi-Square model,and BM25 model respectively and thus improves the recall value *** per query analysis reveals that the proposed model performs well in 30,36,and 30 queries compare to the original query,query expansion with Chi-square model,and BM25 model respectively.

关键词： Information retrieval query expansion word embedding neural network deep neural network

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Stator Fault Diagnosis of Induction Motor Based on Discrete Wavelet Analysis and Neural Network Technique

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Chinese Journal of Electrical Engineering 2023年第1期9卷 142-157页

作者： Abdelelah Almounajjed ashwin kumar Sahoo Mani Kant kumar Sanjeet kumar Subudhi Electrical Engineering Department C.V Raman Global UniversityBhubaneswar 752054India Electronics and Communication Engineering Department C.V Raman Global UniversityBhubaneswar 752054India

A novel approach by introducing a statistical parameter to estimate the severity of incipient stator inter-turn short circuit(ITSC)faults in induction motors(IMs)is *** the incipient ITSC fault and its severity is challenging for several *** stator currents in the healthy and faulty cases are highly similar during the primary stage of the ***,the conventional statistical parameters resulting from the analysis of fault signals do not consistently show a systematic variation with respect to the increase in fault *** objective of this study is the early detection of incipient ITSC ***,it aims to determine the percentage of shorted turns in the faulty phase,which acts as an indicator for severe damage to the stator *** of the motor in healthy and defective cases is performed using the Clarke Concordia transform.A discrete wavelet transform is applied to the motor currents using a Daubechies-8 *** statistical parameters L1 and L2 norms are computed for the detailed *** parameters are obtained under a variety of loads and defects to acquire the most accurate and generalized features related to the *** L1 and L2 norms creates a novel statistical parameter with notable characteristics to achieve the research *** artificial neural network-based back propagation algorithm is employed as a classifier to implement the classification *** classifier output defines the percentage of defective turns with a high level of *** competency of the adopted methodology is validated via simulations and *** results confirm the merits of the proposed method,with a classification test correctness of 95.29%.

关键词： Discrete wavelet transform induction motor inter-turn short circuit fault neural networks statistical parameters

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Numerical solution for singular differential equations using Haar wavelet

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International Journal of Modeling, Simulation, and Scientific Computing 2020年第5期11卷 31-45页

作者： Shitesh shukla Manoj kumar Department of Mathematics Motilal Nehru National Institute of Technology Allahabad Prayagraj-211004(U.P) India

The aim of this paper is to obtain the numerical solution of singular ordinary differential equations using the Haar-wavelet *** proposed method is mathematically simple and provides highly accurate *** this method,we derive the Haar operational matrix using Haar *** operational matrix is a basic tool and applied in system analysis to evaluate the numerical solution of differential *** convergence of the proposed method is discussed through its error *** illustrate the efficiency of this method,solutions of four singular differential equations are obtained.

关键词： Haar operational matrix singularity quasilinearization technique piecewise continuous function

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Climate change detection and attribution in the Ganga-Brahmaputra-Meghna river basins

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Geoscience Frontiers 2021年第5期12卷 192-201页

作者： Chetan Sharma Anoop kumar shukla Yongqiang Zhang Civil Engineering Department JIETJodhpurRajasthanIndia Key Laboratory of Water Cycle and Related Land Surface Processes Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China

Ganga-Brahmaputra-Meghna(GBM)river basin is the third-largest and one of the most populated river basins in the *** climate change is affecting most of the hydrometeorological variables across the globe,this study investigated the existence of climate change signal in all four climatological seasons in the GBM river basin and assessed the contribution of anthropogenic activities,i.e.,Greenhouse Gases(GHGs)emission in the *** decreasing trends in the monsoon and a small increase in pre-monsoon precipitation were *** change was detected in post-monsoon and winter season ***5 GCMs were used for climate change detection,change point estimation,and attribution *** Vector Machine(SVM)regression method was adopted to downscale GCM variables at the local ***-Carlo simulation approach was used to detect changes in different *** climate change‘signals’were detectable after the year 1980 using Signal to Noise ratio(SNR)method in the majority of central and north-western *** change point was detectable only in annual monsoon precipitation at the basin *** analysis indicated>50%contribution of anthropogenic activities(GHGs)to annual monsoon precipitation ***,there is high confidence that monsoon precipitation in GBM has significantly changed due to anthropogenic *** mitigation and adaption measures are also suggested,which may be adopted to manage the growing demand and water availability in the basin.

关键词： Ganga-Brahmaputra-Meghna(GBM) Climate change Support vector machine Signal to noise ratio Anthropogenic activities

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