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Hepatic fibrosis： It is time to go with hepatic stellate cell-specifictherapeutic targets

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Hepatobiliary & Pancreatic Diseases International 2018年第3期17卷 192-197页

作者： devaraj Ezhilarasan Etienne Sokal Mustapha Najimi Biomedical Research Unit and Laboratory Animal Centre Saveetha Dental College and HospitalsSaveetha Institute of Medical and Technical SciencesChennai 600 077Tamil NaduIndia Institut de Recherche Expérimentale et Clinique(IREC) Laboratory of Pediatric Hepatology and Cell TherapyUniversité Catholique de LouvainBrussels 1200Belgium

Hepatic fibrosis is a pathological lesion, characterized by the progressive accumulation of extracellularmatrix （ECM） in the perisinusoidal space and it is a major problem in chronic liver diseases. Phenotypicactivation of hepatic stellate cells （HSC） plays a central role in the progression of hepatic fibrosis. Retardation of proliferation and clearance of activated HSCs from the injured liver is an appropriate therapeuticstrategy for the resolution and treatment of hepatic fibrosis. Clearance of activated HSCs from the injuredliver by autophagy inhibitors, proapoptotic agents and senescence inducers with the high affinity towardthe activated HSCs may be the novel therapeutic strategy for the treatment of hepatic fibrosis in the nearfuture.

关键词： Hepatic stellate cells Apoptosis Autophagy Senescence Extracellular matrix

An Optimal Deep Learning for Cooperative Intelligent Transportation System

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Computers, Materials & Continua 2022年第7期72卷 19-35页

作者： K.Lakshmi Srinivas Nagineni E.Laxmi Lydia A.Francis Saviour devaraj Sachi Nandan Mohanty Irina V.Pustokhina Denis A.Pustokhin Department of Computer Science and Engineering Periyar Maniammai Institute of Science&TechnologyThanjavur613403India Department of Computer Science and Engineering KG Reddy College of Engineering and TechnologyTelangana500075India Department of Computer Science and Engineering Vignan’s Institute of Information Technology(Autonomous)Visakhapatnam530049India Department of Computer Science and Engineering Kalasalingam Academy of Research and EducationKrishnankoil626128India Department of Computer Engineering College of Engineering PunePuneMaharashtra411005India Department of Entrepreneurship and Logistics Plekhanov Russian University of EconomicsMoscow117997Russia Department of Logistics State University of ManagementMoscow109542Russia

Cooperative Intelligent Transport System(C-ITS)plays a vital role in the future road traffic management system.A vital element of C-ITS comprises vehicles,road side units,and traffic command centers,which produce a massive quantity of data comprising both mobility and service-related *** the extraction of meaningful and related details out of the generated data,data science acts as an essential part of the upcoming C-ITS *** the same time,prediction of short-term traffic flow is highly essential to manage the traffic *** to the rapid increase in the amount of traffic data,deep learning(DL)models are widely employed,which uses a non-parametric approach for dealing with traffic flow *** paper focuses on the design of intelligent deep learning based short-termtraffic flow prediction(IDL-STFLP)model for C-ITS that assists the people in various ways,namely optimization of signal timing by traffic signal controllers,travelers being able to adapt and alter their routes,and so *** presented IDLSTFLP model operates on two main stages namely vehicle counting and traffic flow *** IDL-STFLP model employs the Fully Convolutional Redundant Counting(FCRC)based vehicle count *** addition,deep belief network(DBN)model is applied for the prediction of short-term traffic *** further improve the performance of the DBN in traffic flow prediction,it will be optimized by Quantum-behaved bat algorithm(QBA)which optimizes the tunable parameters of *** results based on benchmark dataset show that the presented method can count vehicles and predict traffic flowin real-time with amaximumperformance under dissimilar environmental situations.

关键词： Cooperative intelligent transportation systems traffic flow prediction deep belief network deep learning vehicle counting

Siponimod exerts neuroprotective effects on the retina and higher visual pathway through neuronal S1PR1 in experimental glaucoma

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Neural Regeneration Research 2023年第4期18卷 840-848页

作者： devaraj Basavarajappa Vivek Gupta Nitin Chitranshi Roshana Vander Wall Rashi Rajput Kanishka Pushpitha Samridhi Sharma Mehdi Mirzaei Alexander Klistorner Stuart L.Graham Department of Clinical Medicine Faculty of MedicineHealth and Human SciencesMacquarie UniversityNorth RydeSydneyNSWAustralia

Sphingosine-1-phosphate receptor(S1PR)signaling regulates diverse pathophysiological processes in the central nervous *** role of S1PR signaling in neurodegenerative conditions is still largely *** is a specific modulator of S1P1 and S1P5 receptors,an immunosuppressant drug for managing secondary progressive multiple *** investigated its neuroprotective properties in vivo on the retina and the brain in an optic nerve injury model induced by a chronic increase in intraocular pressure or acute N-methyl-D-aspartate ***-specific deletion of sphingosine-1-phosphate receptor(S1PR1)was carried out by expressing ***-Cre recombinase under Syn1 promoter in S1PR1mice to define the role of S1PR1 in *** retinal electrophysiological responses,along with histological and immunofluorescence analysis of the retina and optic nerve tissues,indicated significant neuroprotective effects of siponimod when administered orally via diet in chronic and acute optic nerve injury ***,siponimod treatment showed significant protection against trans-neuronal degenerative changes in the higher visual center of the brain induced by optic nerve *** treatment also reduced microglial activation and reactive gliosis along the visual *** results showed that siponimod markedly upregulated neuroprotective Akt and Erk1/2 activation in the retina and the ***-specific deletion of S1PR1 enhanced retinal and dorsolateral geniculate nucleus degenerative changes in a chronic optic nerve injury condition and attenuated protective effects of *** summary,our data demonstrated that S1PR1signaling plays a vital role in the retinal ganglion cell and dorsolateral geniculate nucleus neuronal survival in experimental glaucoma,and siponimod exerts direct neuroprotective effects through S1PR1 in neurons in the central nervous system independent of its peripheral immuno-modulatory *** findings s

关键词： glaucoma intraocular pressure neurodegeneration neuroprotection optic nerve injury retinal ganglion cells siponimod sphingosine-1-phosphate

Enhanced Metaheuristics with Trust Aware Route Selection for Wireless Sensor Networks

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Computer Systems Science & Engineering 2023年第8期46卷 1431-1445页

作者： A.Francis Saviour devaraj T.Satyanarayana Murthy Fayadh Alenezi E.Laxmi Lydia Mohamad Adzhar Md Zawawi Mohamad Khairi Ishak Department of IT The University of Technology and Applied Sciences-IbriPO Box:466IbriPostal Code:516Sultanate of Oman Chaitanya Bharathi Institute of Technology HyderabadTelanganaIndia Department of Electrical Engineering College of EngineeringJouf UniversitySaudi Arabia Department of Computer Science and Engineering Vignan’s Institute of Information TechnologyVisakhapatnam530049India School of Electrical and Electronic Engineering Engineering CampusUniversiti Sains MalaysiaNibong Tebal14300PenangMalaysia

Recently,a trust system was introduced to enhance security and cooperation between nodes in wireless sensor networks(WSN).In routing,the trust system includes or avoids nodes related to the estimated trust values in the routing *** article introduces Enhanced Metaheuristics with Trust Aware Secure Route Selection Protocol(EMTA-SRSP)for *** presented EMTA-SRSP technique majorly involves the optimal selection of routes in *** accomplish this,the EMTA-SRSP technique involves the design of an oppositional Aquila optimization algorithm to choose safe routes for data *** the clustering process,the nodes with maximum residual energy will be considered cluster heads(CHs).In addition,the OAOA technique gets executed to choose optimal routes based on objective functions with multiple parameters such as energy,distance,and trust *** experimental validation of the EMTA-SRSP technique is tested,and the results exhibited a better performance of the EMTA-SRSP technique over other approaches.

关键词： Security wireless sensor networks trust factor routing protocol privacy

Influence of Spark Plasma Sintering Temperature on the Densification, Microstructure and Mechanical Properties of Al-4.5 wt.%Cu Alloy

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Acta Metallurgica Sinica(English Letters) 2013年第6期26卷 761-771页

作者： S.devaraj S.Sankaran R.Kumar Department of Metallurgical and Materials Engineering Indian Institute of Technology Madras (IIT Madras)

The effect of sintering temperature on the densification mechanisms, microstructural evolution and mechanical properties of spark plasma sintered （SPS） compacts of a gas atomized Al-4.5 wt.%Cu alloy was investigated. The powder particles whose size varied between 10 to 500μm was subjected to SPS at 400, 450 and 500℃ at a pressure of 30 MPa. The compact sintered at 500℃ exhibited fully dense microstructure which was characterized by a uniform distribution of the secondary phase, free of dendrites and micro-porosity. Microscopy and the SPS data reveal that the events such as particle rearrangement, localized deformation and bulk deformation appear to be the sequence of sintering mechanisms depending on the size range of powder particles used for consolidation. The compact sintered at 500℃ exhibited the highest hardness and compression strength since the microstructure was characterized by fine distribution of precipitates, large fraction of submicron grains and complete metallurgical bonding.

关键词： Spark plasma sintering Sintering mechanisms Precipitation Compression strength

Anti-inflammatory activity of Alpinia officinarum hance on rat colon inflammation and tissue damage in DSS induced acute and chronic colitis models

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Food Science and Human Wellness 2018年第4期7卷 273-281页

作者： Vijayabharathi Rajendiran Vidhya Natarajan Sivasithamparam Niranjali devaraj Department of Biochemistry University of MadrasMaraimalai Campus(Guindy)Chennai600025India

The purpose of this study was to investigate the possible prophylactic effects of Alpinia officinarum hance on experimentally induced acute and chronic colitis models,in-vivo and *** and chronic colitis were induced in Male Wistar rats by administration of Dextran Sulfate Sodium(DSS)in drinking *** induction exhibited colon shrinkage,increased the Disease Activity Index(DAI)score,increased the levels of inflammatory markers and caused severe *** induced animals,co-treated with the hexane extract of Alpinia officinarum(HEAO)(200 mg/kg body wt),effectively suppressed colonic injury that was evidenced by the reduced DAI score,colon weight/length ratio,histological damage,proinflammatory markers and MPO ***,it restored the colonic antioxidants near to normal levels by regulating the oxidative stress via attenuation of lipid *** results revealed that the degree of colitis caused by the administration of DSS was significantly attenuated by *** addition,the in-vitro study showed that HEAO treatment inhibited the proliferation of HT-29 cells and down regulated the mRNA expression of NF-B and *** together,these results suggest that HEAO is a promising anti-oxidant and anti-inflammatory agent that support its possible therapeutic role in the treatment of colitis.

关键词： Alpinia officinarum Antioxidants Inflammation Dextran sulfate sodium(DSS) Inflammatory bowel diseases(IBD)

Mass transport in a highly immiscible alloy on extended shear deformation

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Journal of Materials Science & Technology 2023年第3期134卷 197-208页

作者： Miao Song Jia Liu Xiaolong Ma Qin Pang Matthew J.Olszta Joshua Silverstein Madhusudhan R.Pallaka Peter V.Sushko Suveen N.Mathaudhu Cynthia Powell Arun devaraj Bharat Gwalani Physical and Computational Sciences Directorate Pacific Northwest National Laboratory902 Battelle BoulevardRichlandWA 99354USA Energy and Environmental Directorate Pacific Northwest National Laboratory902 Battelle BoulevardRichlandWA 99354USA Material Science and Engineering Program University of CaliforniaRiversideCA92521USA Colorado School of Mines 1500 Illinois St.GoldenCO 8040USA Department of Materials Science and Engineering North Carolina State UniversityRaleighNC27695-7907USA State Key Laboratory of Powder Metallurgy Central South Uni-versityChangsha 410083China

Forced mixing to a single-phase or supersaturated solid solution(SSS)and its prerequisite microstructure evolution in immiscible systems has been a focus of research for fundamental science and practical *** the formation of SSS by shear deformation could enable a material design beyond conventional equilibrium microstructure in immiscible ***,a highly immiscible Cu-50 at.%Cr binary alloy(mixing enthalpy of∼20 kJ mol^(−1))was employed to investigate the microstructure evolution and localized tendencies of SSS during severe shear *** results demonstrate the dislocation mediated microstructural refinement process in each phase of the binary alloy and the mechanisms associated with localized solute supersaturation as a function of shear *** grain refinement in the softer Cu phase occurs owing to the strain localization driving the preferential dynamic *** grain refinement of the Cr phase,however,is enabled by the progressive evolution of grain lamination,splitting,and fragmentation as a function of shear *** solute supersaturation is found to be strongly dependent on the local environments that affect the dislocation activity,including the level of microstructure refinement,the interfacial orientation relationship,the mechanical incompatibility,and the localized preferential phase *** initio simulations confirm that it is more favorable to oxidize Cr than Cu at incoherent Cu/Cr interfaces,limiting the mass transport on an incoherent *** results unveil the mechanism underpinning the non-equilibrium mass transport in immiscible systems upon severe deformation that can be applied to produce immiscible alloys with superior mechanical properties.

关键词： Tribology Immiscible alloys Nanostructures Shear deformation Forced mixing Atom probe

Antitumor and Antifungal Activities of Organic Extracts of Seacucumber Holothuria atra from the Southeast Coast of India

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Journal of Ocean University of China 2015年第1期14卷 185-189页

作者： devaraj Isaac DHINAKARAN Aaron Premnath LIPTON Center for Marine Science and Technology Manonmaniam Sundaranar University Marine Biotechnology Laboratory Central Marine Fisheries Research Institute

In phylum Echinodermata, the family Holothuridae is distinguished by its capacity of bioactive compounds. Sea cucumber Holothuria atra is commonly known as the lollyfish. The antifungal activity was detected using agar well diffusion method against the various fungal strains such as Trichoderma viride, Aspergillus niger, Aspergillus flavis, Candida albicans and Penicillium chrysogenum. Relatively high antifungal activity was seen against Candida albicans at 100 μL-1 concentration of extracts. Zone of inhibition was measured at 18 mm of diameter. The anti-tumor activities were detected against the Vero and Hep2 cell lines using MTT assay. The cells were treated with H. atra extract at concentrations 0.078-10 mg m L-1. The extract showed high proliferative activity against the Hep2 cells. The body wall extracts of sea cucumber(H. atra) showed effective antifungal and antitumor activities. All these findings suggest that the extracts could be used for the development of drugs.

关键词：有机提取物抗肿瘤活性抑菌活性海参东南沿海生物活性化合物白色念珠菌抗真菌活性

Brain Tumour Detection by Gamma DeNoised Wavelet Segmented Entropy Classifier

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Computers, Materials & Continua 2021年第11期69卷 2093-2109页

作者： Simy Mary Kurian Sujitha Juliet devaraj Vinodh P.Vijayan Karunya Institute of Technology and Science CoimbatoreIndia Albertian Institute of Science and Technology KochiIndia

Magnetic resonance imaging(MRI)is an essential tool for detecting brain ***,identification of brain tumours in the early stages is a very complex task since MRI images are susceptible to noise and other environmental *** order to overcome these problems,a Gamma MAP denoised Strömberg wavelet segmentation based on a maximum entropy classifier(GMDSWS-MEC)model is developed for efficient tumour detection with high accuracy and low time *** GMDSWS-MEC model performs three steps,namely pre-processing,segmentation,and *** the GMDSWS-MEC model,the Gamma MAP filter performs the pre-processing task and achieves a significant increase in the peak signal-tonoise ratio by removing noisy artefacts from the input brain *** pre-processing,Strömberg wavelet transform segmentation is carried out to partition the pre-processed image into a number of blocks based on the features extracted from the ***,the maximum entropy classifier identifies and locates the tumour from the input image based on extracted features with high accuracy and minimal error *** a number of MRI images,experimental evaluation and comparison of the proposed model and existing methods is carried out on the basis of four metrics:peak signalto-noise ratio,tumour detection accuracy,error rate,and tumour detection time with respect to MRI image *** proposed model offers superior performance in terms of all four metrics.

关键词： Gamma MAP filter Strömberg wavelet transform maximum entropy classifier