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Interleukin-7 Receptor Signaling Network:An Integrated Systems Perspective

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Cellular & Molecular Immunology 2008年第2期5卷 79-89页

作者： Megan j. Palmer vinay S. Mahaj.n Lily C. Traj.an Darrell j. Irvine Douglas A.Lauffenburger j.anzhu Chen Department of Biological Engineering Koch Institute for Integrative Cancer Research and Department of Biology Massachusetts Institute of Technology Cambridge MA 02139 USA

Interleukin-7 （IL-7） is an essential cytokine for the development and homeostatic maintenance of T and B lymphocytes. Binding of IL-7 to its cognate receptor, the IL-7 receptor （IL-7R）, activates multiple pathways that regulate lymphocyte survival, glucose uptake, proliferation and differentiation. There has been much interest in understanding how IL-7 receptor signaling is modulated at multiple interconnected network levels. This review examines how the strength of the signal through the IL-7 receptor is modulated in T and B cells, including the use of shared receptor components, signaling crosstalk, shared interaction domains, feedback loops, integrated gene regulation, multimerization and ligand competition. We discuss how these network control mechanisms could integrate to govern the properties of IL-7R signaling in lymphocytes in health and disease. Analysis of IL-7 receptor signaling at a network level in a systematic manner will allow for a comprehensive approach to understanding the impact of multiple signaling pathways on lymphocyte biology. Cellular ＆ Molecular Immunology.

关键词： IL-7 receptor cytokine signaling network systems biology modeling

Studying the efficacy of isolation as a control strategy and elimination of tuberculosis in India:A mathematical model

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Infectious Disease Modelling 2023年第2期8卷 458-470页

作者： Archana Singh Bhadauria Hom Nath Dhungana vinay Verma stephen Woodcock Tapan Rai Department of Mathematics and Statistics Deen Dayal Upadhyaya Gorakhpur UniversityIndia School of Mathematical and Physical Sciences University of Technology SydneyAustralia Faculty of Mathematical and Statistical Sciences Institute of Natural Sciences and HumanitiesShri Ramswaroop Memorial UniversityUttar PradeshIndia

India has the highest burden of both tuberculosis(TB)and multidrug-resistant TB(MDRTB)based on the WHO Global TB Report *** the available data suggest that the total TB incidence has declined,the absolute number of new cases is still *** number of reported TB cases in India in 2018 was 2.2 million,which was 1.5 million in *** 47%increment in TB case notification in India within a decade shows a persistent public health *** contributes about 22%of the World's TB *** National Strategic Plan 2017e2025,sets out the government plans to eliminate TB by ***,the milestone seems unrealistic to achieve the TB eradication goal by *** developed a five-dimensional mathematical model to understand the TB dynamics in India and investigate the possibility of the earliest TB eradication time *** model stratifies the entire TB class into three different classes as drug-sensitive(DS),MDR,and isolated *** effective reproduction number,equilibrium points,and stability analysis of the model were carried *** model predicts the total estimated cases of DS-TB and MDR-TB from 2018 to 2035 through numerical simulation and suggests that TB may be eliminated by 2035 in India if the treatment success rate could be achieved to 95%,by contact tracing and isolating at least 50%of MDR-TB.

关键词： Multi-drug resistant Drug-sensitive Isolation Reproduction number Mathematical modelling

Multiple Forgery Detection in Video Using Convolution Neural Network

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Computers, Materials & Continua 2022年第10期73卷 1347-1364页

作者： vinay Kumar Vineet Kansal Manish Gaur Centre for Advanced Studies Dr.A P J Abdul Kalam Technical UniversityLucknowIndia Institute of Engineering and Technology Dr.A P J Abdul Kalam Technical UniversityLucknowIndia

With the growth of digital media data manipulation in today’s era due to the availability of readily handy tampering software,the authenticity of records is at high risk,especially in *** is a dire need to detect such problem and do the necessary *** this work,we propose an approach to detect the interframe video forgery utilizing the deep features obtained from the parallel deep neural network model and thorough analytical *** proposed approach only uses the deep features extracted from the CNN model and then applies the conventional mathematical approach to these features to find the forgery in the *** work calculates the correlation coefficient from the deep features of the adj.cent frames rather than calculating directly from the *** divide the procedure of forgery detection into two phases–video forgery detection and video forgery *** video forgery detection,this approach detect input video is original or *** the video is not original,then the video is checked in the next phase,which is video forgery *** the video forgery classification,method review the forged video for insertion forgery,deletion forgery,and also again check for *** proposed work is generalized and it is tested on two different *** experimental results of our proposed model show that our approach can detect the forgery with the accuracy of 91%on VIFFD dataset,90%in TDTV dataset and classify the type of forgery–insertion and deletion with the accuracy of 82%on VIFFD dataset,86%on TDTV *** work can helps in the analysis of original and tempered video in various domain.

关键词： Digital forensic forgery detection video authentication video interframe forgery video processing deep learning

<i>In Vitro</i>Model Systems to Investigate Drug Resistance Mechanisms in Pancreatic Cancer Cells

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Advances in Biological Chemistry 2015年第7期5卷 286-292页

作者： Eric Romney vinay j. Nagaraj Arizona College of Osteopathic Medicine Midwestern University Glendale Arizona Department of Biochemistry Midwestern University Glendale Arizona

With a 5-year survival rate of less than 6%, the diagnosis of pancreatic cancer is devastating news for any patient. Gemcitabine, the most commonly used chemotherapy drug, only improves survival by approximately 1.5 months. A maj.r obstacle to the treatment of pancreatic cancer with gemcitabine is the development of drug resistance. To better understand the precise mechanisms by which patient tumor cells gain resistance to gemcitabine, a cell culture model system that more accurately reflects the development of drug resistance in vivo is required. In this study, cultured pancreatic adenocarcinoma BxPC-3 cells were subj.cted to two different treatment regimens. The first method—termed pulse method—involves periodically treating separate cultures of BxPC-3 cells with constant predetermined doses of gemcitabine. The second treatment regimen—termed incremental method—consists of treating BxPC-3 cells with increasing doses of gemcitabine from 10 to 100 nM. While all treated cells showed enhanced resistance to gemcitabine, low-dose pulse treatments were sufficient to produce highly drug-resistant cells as evidenced by higher IC50 measurements. Pulse treatments also resulted in slower growth rates and increased doubling time of the drug-resistant cells. Morphological changes indicate cellular abnormalities linked to likely epithelial-to-mesenchymal transition and drug resistance. Our preliminary results indicate that the pulse method may better simulate resistance observed in patients undergoing chemotherapy and may serve as a superior model to investigate drug-resistance. This model can also help with identification of appropriate markers that determine the presence of drug-resistant cells and help clinicians adj.st treatment strategies to improve outcomes for patients suffering from pancreatic cancer.

关键词： Pancreatic Cancer Gemcitabine Drug-Resistance Pulse Method Incremental Method

Paradigm change in Indian agricultural practices using Big Data: Challenges and opportunities from field to plate

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Information Processing in Agriculture 2020年第3期7卷 355-368页

作者： vinay Kellengere Shankarnarayan Hombaliah Ramakrishna Department of Industrial Engineering&Management Dayananda Sagar College of EngineeringBengaluruKarnataka 560078India Department of Mechanical Engineering Sapthagiri College of EngineeringBengaluruKarnataka 560057India

Agriculture is the backbone of the Indian ***,statistics show that the rural population and arable land per person is *** is an ominous development for a country with a population of more than one billion,with over sixty-six percent living in rural *** paper aims to review current studies and research in agriculture,employing the recent practice of Big Data analysis,to address various problems in this *** execute this review,this article outline a framework for Big Data analytics in agriculture and present ways in which they can be applied to solve problems in the present agricultural *** goal of this review is to gain insight into state-of-the-art Big Data applications in agriculture and to use a structural approach to identify challenges to be addressed in this *** review of Big Data applications in the agricultural sector has also revealed several collection and analytics tools that may have implications for the power relationships between farmers and large corporations.

关键词： Agriculture Data Governance Precision agriculture Smart farming

Synergistic effect of hybrid Himalayan Nettle/Bauhinia-vahlii fibers on physico-mechanical and sliding wear properties of epoxy composites

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Defence Technology（防务技术） 2020年第4期16卷 762-776页

作者： Sandeep Kumar KKSMer Brij.sh Gangil vinay Kumar Patel Department of Mechanical Engineering S.O.E.T.H.N.B.Garhwal UniversitySrinagar-Garhwal246174UttarakhandIndia Department of Mechanical Engineering Govind Ballabh Pant Institute of Engineering and Technology GhurdauriPauri Garhwal246001UttarakhandIndia

The cellulosic bast fibers are recognized as a j.stifiable and biodegradable substitute for producing moderate strength polymer composite materials because of their characteristics of renewability,ecofriendliness,and higher specific *** the aim of this research work is to fabricate Himalayan bast fibers(Nettle fiber(NF)/bauhinia vahlii fiber(BF)) based mono/hybrid epoxy composites at varying weight percentage of 2-6 wt% and evaluate the physical(void fraction and water absorption),mechanical(tensile strength,flexural strength,hardness) and sliding wear properties of as-fabricated *** 6 wt% NBF reinforced composites exhibited higher mechanical properties as compared to NF and BF composites with tensile strength of 34.04 MPa,flexural strength of 42.45 MPa,and hardness of 37.01 Hv *** influence of various control factors(sliding velocity,NF/BF/NBF contents,normal load and sliding distance) on specific sliding wear rate of composites was evaluated by Taguchi(three factors at three levels) experimental design and the percentage contribution of these selected parameters on sliding wear performance was examined by Analysis of variance(ANOVA).The sliding wear property of as-developed composites was found to be greatly influenced by sliding velocity and the wear resistance was observed to be improved with the NF/BF/NBF *** wear mechanism of the as-fabricated composites has been elucidated by scanning electron microscopy *** research outcomes demonstrated that the hybridization of Bauhinia vahlii fiber with Nettle fiber led to improve the mechanical and wear properties of epoxy composites.

关键词： Natural fiber Physical properties Mechanical properties Wear properties Taguchi analysis

A deep learning based misbehavior classification scheme for intrusion detection in cooperative intelligent transportation systems

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Digital Communications and Networks 2023年第5期9卷 1113-1122页

作者： Tej.svi Alladi Varun Kohli vinay Chamola F.Richard Yu Department of Computer Science and Information Systems BITS-PilaniPilani Campus333031India Department of Electrical and Electronics Engineering&APPCAIR BITS-PilaniPilani Campus333031India Department of Systems and Computer Engineering Carleton UniversityOttawaONK1S 5B6Canada

With the rise of the Internet of Vehicles(IoV)and the number of connected vehicles increasing on the roads,Cooperative Intelligent Transportation Systems(C-ITSs)have become an important area of *** the number of Vehicle to Vehicle(V2V)and Vehicle to Interface(V2I)communication links increases,the amount of data received and processed in the network also *** addition,networking interfaces need to be made more secure for which existing cryptography-based security schemes may not be ***,there is a need to augment them with intelligent network intrusion detection *** machine learning-based intrusion detection and anomaly detection techniques for vehicular networks have been proposed in recent ***,given the expected large network size,there is a necessity for extensive data processing for use in such anomaly detection *** learning solutions are lucrative options as they remove the necessity for feature ***,with the amount of vehicular network traffic increasing at an unprecedented rate in the C-ITS scenario,the need for deep learning-based techniques is all the more *** work presents three deep learning-based misbehavior classification schemes for intrusion detection in IoV networks using Long Short Term Memory(LSTM)and Convolutional Neural Networks(CNNs).The proposed Deep Learning Classification Engines(DCLE)comprise of single or multi-step classification done by deep learning models that are deployed on the vehicular edge *** data received by the Road Side Units(RSUs)is pre-processed and forwarded to the edge server for classifications following the three classification schemes proposed in this *** proposed classifiers identify 18 different vehicular behavior types,the F1-scores ranging from 95.58%to 96.75%,much higher than the existing *** running the classifiers on testbeds emulating edge servers,the prediction performance and prediction time comparison of

关键词： Vehicular Ad-hoc Networks(VANETs) Intelligent Transportation Systems(ITS) Artificial Intelligence(AI) Deep Learning Internet of Things(IoT)

An analysis of energy consumption and carbon footprints of cryptocurrencies and possible solutions

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Digital Communications and Networks 2023年第1期9卷 79-89页

作者： Varun Kohli Sombuddha Chakravarty vinay Chamola Kuldip Singh Sangwan Sherali Zeadally Department of Electrical and Computer Engineering Engineering National University of SingaporeSingapore Department of Electrical and Electronics Engineering&APPCAIR BITS-PilaniPilani Campus333031India Department of Mechanical Engineering BITS-PilaniPilani Campus333031India College of Communication and Information University of KentuckyLexingtonKY40506-0224USA

There is an urgent need to control global warming caused by humans to achieve a sustainable ***_(2) levels are rising steadily,and while countries worldwide are actively moving toward the sustainability goals proposed during the Paris Agreement in 2015,we are still a long way to go from achieving a sustainable mode of global *** increased popularity of cryptocurrencies since the introduction of Bitcoin in 2009 has been accompanied by an increasing trend in greenhouse gas emissions and high electrical energy *** energy tracking studies(e.g.,Digiconomist and the Cambridge Bitcoin Energy Consumption Index(CBECI))have estimated energy consumption ranges from 29.96 TWh to 135.12 TWh and 26.41 TWh to 176.98 TWh,respectively for Bitcoin as of j.ly 2021,which are equivalent to the energy consumption of countries such as Sweden and *** latest estimate by Digiconomist on carbon footprints shows a 64.18 MtCO_(2) emission by Bitcoin as of j.ly 2021,close to the emissions by Greece and *** review compiles estimates made by various studies from 2018 to *** compare the energy consumption and carbon footprints of these cryptocurrencies with countries around the world and centralized transaction methods such as *** identify the problems associated with cryptocurrencies and propose solutions that can help reduce their energy consumption and carbon ***,we present case studies on cryptocurrency networks,namely,Ethereum 2.0 and Pi Network,with a discussion on how they can solve some of the challenges we have identified.

关键词： Blockchain Carbon footprint Climate change Cryptocurrency Sustainability

Performance characterization of Bi_2O_3/Al nanoenergetics blasted micro-forming system

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Defence Technology（防务技术） 2019年第1期15卷 98-105页

作者： vinay Kumar Patel Rishi Kant Anu choudhary Madhusudan Painuly Shantanu Bhattacharya Department of Mechanical Engineering Govind Ballabh Pant Institute of Engineering & Technology Pauri-Garhwal Department of Mechanical Engineering Indian Institute of Technology Kanpur

This paper reports a novel micro-blast driven manufacturing process for micro-forming of Aluminum foils. The micro-blast is realized by using a nanoenergetic material system comprising of Bi_2O_3 microrods and aluminum particles. There is an enhanced need of forming of thin aluminum foil structures in small regions from point of view of drug packaging etc. The process developed caters to this need by using a single shot forming process using a micro-blast source. The micro-blast that is generated from an energetic composite system is made highly tunable by modulating the peak pressure generated through the blasting process and their impact in micro-forming of thin aluminum foils is observed through parametric studies. The engineering challenge involved in these experiments is to tune the blast pressure properties in order to address the forming of thin metal sheets with limiting boundary values as defined by the failure criteria. A variety of characterization techniques related to a thorough analysis of the synthesized material viz. X-ray diffraction(XRD), Scanning Electron Microscopy(SEM) etc, are used to tune the functional properties like gauge blast pressure etc, of material system. We have found a material system that can generate a maximum peak pressure of 73.8 MPa with pressurization rate of 2460 GPas^(-1) and that is able to accomplish micro-forming on thin metal foils(around 0.3 mm thickness). Experimental investigations demonstrate that tunabilty aspect of the energetic composites when exercised can enable variant processes such as embossing, coining, drilling etc. which may be of significant utility to drug packaging industries. A proper mathematical modeling of the forming process and critical process parameters therein have also been detailed.

关键词： Microforming Aluminum Foil Bi2O3 Nanoenergetic Tunability Process parameters