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Effect of angiotensin converting enzyme gene I/D polymorphism in South Indian children with nephrotic syndrome

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The Journal of Biomedical Research 2019年第3期33卷 201-207页

作者： Aravind Selvin Kumar Ramanathan Balakrishnan Karuppiah murali vijayan Kamaraj Raju Dhivakar Mani Rathika Chinniah Manikandan Thirunavukkarasu Padma Malini Ravi Jeyaram Illiayaraja Krishnan Prabha Senguttuvan Department of Pediatric Nephrology Institute of Child Health and Hospital for Children Department of Medical Genetics The Tamil Nadu Dr.M.G.R.Medical University Department of Immunology School of Biological SciencesMadurai Kamaraj University Department of Biotechnology and Genetic Engineering Bharathidasan University Department of Clinical Research Narayana Health City Department of Pediatric Nephrology Dr.Mehta’s Children’s Hospital

Nephrotic syndrome is one of the most common childhood kidney diseases. It is mostly found in the age group of 2 to 8 years. Around 10%-15% of nephrotic syndrome cases are non-responders of steroid treatment(SRNS).Angiotensin converting enzyme(ACE)(I/D) gene association studies are important for detecting kidney disease and herein we assessed the association of ACE(I/D) polymorphism with nephrotic syndrome in South Indian children. We recruited 260 nephrotic syndrome(162 boys and 98 girls) and 218(140 boys and 78 girls) control subjects. ACE I/D polymorphism was analyzed by PCR using genotype allele specific primers. In ACE(I/D), we did not find significant association for the ungrouped data of nephrotic syndrome children and the control subjects. Kidney biopsies were done in 86 nephrotic syndrome cases(minimal change disease, n = 51;focal segmental glomerulosclerosis, n = 27;diffuse mesangial proliferation, n = 8). We segregated them into the minimal change disease/focal segmental glomerulosclerosis groups and observed that the ACE’D’ allele was identified with borderline significance in cases of focal segmental glomerulosclerosis and the ’Ⅰ’ allele was assessed as having very weak association in cases of minimal change disease. ’Ⅱ’ genotype was weakly associated with minimal change disease. Gender specific analysis revealed weak association of’ID’ genotype with female nephrotic syndrome in females. Dominant expression of DD genotype was observed in males with nephrotic syndrome. Our finding indicated that ACE(I/D) has moderate association with focal segmental glomerulosclerosis. However, due to the limited number of biopsy proven focal segmental glomerulosclerosis subjects enrolled, further studies are required to confirm these results.

关键词： angiotensin converting enzyme focal segmental glomerulosclerosis minimal change disease nephrotic syndrome

IoT Task Offloading in Edge Computing Using Non-Cooperative Game Theory for Healthcare Systems

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Computer Modeling in Engineering & Sciences 2024年第5期139卷 1487-1503页

作者： Dinesh Mavaluru Chettupally Anil Carie Ahmed I.Alutaibi Satish Anamalamudi Bayapa Reddy Narapureddy murali Krishna Enduri Md Ezaz Ahmed School of Computing and Informatics Saudi Electronic UniversityRiyadhSaudi Arabia Department of Computer Engineering SRM University APGunturIndia College of Computer and Information Sciences Majmaah UniversityAl Majma’ahSaudi Arabia Department of Public Health College of Applied Medical SciencesKing Khalid UniversityAbhaSaudi Arabia

In this paper,we present a comprehensive system model for Industrial Internet of Things(IIoT)networks empowered by Non-Orthogonal Multiple Access(NOMA)and Mobile Edge Computing(MEC)*** network comprises essential components such as base stations,edge servers,and numerous IIoT devices characterized by limited energy and computing *** central challenge addressed is the optimization of resource allocation and task distribution while adhering to stringent queueing delay constraints and minimizing overall energy *** system operates in discrete time slots and employs a quasi-static approach,with a specific focus on the complexities of task partitioning and the management of constrained resources within the IIoT *** study makes valuable contributions to the field by enhancing the understanding of resourceefficient management and task allocation,particularly relevant in real-time industrial *** results indicate that our proposed algorithmsignificantly outperforms existing approaches,reducing queue backlog by 45.32% and 17.25% compared to SMRA and ACRA while achieving a 27.31% and 74.12% improvement in Qn ***,the algorithmeffectively balances complexity and network performance,as demonstratedwhen reducing the number of devices in each group(Ng)from 200 to 50,resulting in a 97.21% reduction in complexity with only a 7.35% increase in energy *** research offers a practical solution for optimizing IIoT networks in real-time industrial settings.

关键词： Internet of Things edge computing offloading NOMA

Exosomes derived from tumor adjacent fibroblasts efficiently target pancreatic tumors

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Acta Pharmaceutica Sinica B 2024年第7期14卷 3009-3026页

作者： Saini Setua Shabia Shabir Poornima Shaji Ana Martinez Bulnes Anupam Dhasmana Swathi Holla Nivesh K.Mittal Nirakar Sahoo Tripti Saini Francesco Giorgianni Mohammad Sikander Andrew E.Massey Bilal B.Hafeez Manish K.Tripathi Vincent P.Diego Meena Jaggi Junming Yue Nadeem Zafar murali M.Yallapu Stephen W.Behrman Sheema Khan Subhash C.Chauhan Department of Pharmaceutical Sciences College of Pharmacyand College of MedicineUniversity of Tennessee Health Science Center(UTHSC)MemphisTN 36163USA Department of Computer Science Islamic University of Science and TechnologyAwantiporaJ&K 192122India Department of Immunology and Microbiology School of MedicineUniversity of Texas Rio Grande ValleyMcAllenTX 78504USA South Texas Center of Excellence in Cancer Research School of Medicinethe University of Texas Rio Grande ValleyMcAllenTX 78504USA Himalayan School of Biosciences and Cancer Research Institute Himalayan Institute of Medical SciencesSwami Rama Himalayan UniversityDehradun 248016India Plough Center for Sterile Drug Delivery Solutions UTHSCMemphisTN 38104USA Department of Biology College of SciencesUTRGVMcAllenTX 78539USA National Institute of Biomedical Imaging and Bioengineering(NIBIB) National Institutes of HealthBethesdaMD 20892USA South Texas Diabetes and Obesity Institute UTRGVMcAllenTX 78504USA Dept.of Laboratory Medicine&Pathology University of WashingtonSeattleWA 98195USA Department of Surgery Baptist Memorial Medical EducationBaptist Memorial HospitalMemphisTN 38120USA Baptist Health Sciences University MemphisTN 38104USA

The application of extracellular vesicles,particularly exosomes(EXs),is rapidly expanding in the field of medicine,owing to their remarkable properties as natural carriers of biological *** study investigates utilization of exosomes derived from stromal cells of tumor adjacent normal tissues(NAF-EXs)for personalized medicine,which can be derived at the time of diagnosis by endoscopic ***,we show that exosomes(EXs)derived from NAFs demonstrate differential bio-physical characteristics,efficient cellular internalization,drug loading efficiency,pancreatic tumor targeting and delivery of ***-derived EXs(NAF-EXs)were used for loading ormeloxifene(ORM),a potent anti-cancer and desmoplasia inhibitor as a model *** found that ORM maintains normal fibroblast cell phenotype and renders them incompatible to be triggered for a CAF-like phenotype,which may be due to regulation of Ca^(2+) influx in fibroblast ***-EXs-ORM effectively blocked oncogenic signaling pathways involved in desmoplasia and epithelial mesenchymal transition(EMT)and repressed tumor growth in xenograft mouse *** conclusion,our data suggests preferential tropism of NAF-EXs for PDAC tumors,thus imply feasibility of developing a novel personalized medicine for PDAC patients using autologous NAF-EXs for improved therapeutic outcome of anti-cancer ***,it provides the opportunity of utilizing this biological scaffold for effective therapeutics in combination with standard therapeutic regimen.

关键词： Pancreatic cancer Tumor adjacent normal tissue fibroblasts(NAF) Desmoplasia Extracellular vesicles Exosomes Tumor targeting Ormeloxifene Personalized medicine

Helicobacter pylori infection and small intestinal bacterial overgrowth–more than what meets the eye

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World Journal of Clinical Cases 2022年第21期10卷 7209-7214页

作者： murali Dharan David Wozny Department of Gastroenterology and Hepatology University of Connecticut Health CenterFarmingtonCT 06030United States Department of Primary Care and Internal Medicine University of ConnecticutFarmingtonCT 06030United States

Helicobacter pylori(***)infection is very common and affects a significant proportion of the world *** contrast,the prevalence of small intestinal bacterial overgrowth(SIBO)in the general population is not well *** can be coexistence of both disease states in a given patient and their clinical symptoms may also overlap with one and *** is no clear clinical guidelines for testing for and treating SIBO in patients with *** *** review article explores the available evidence on the relationship between *** infection and SIBO,diagnosis and treatment of these entities and also comments on associated non-gastrointestinal conditions.

关键词： Helicobacter pylori infection Small intestinal bacterial overgrowth Overlap Diagnosis Treatment

Integration of Utility Distributed Energy Resource Management System and Aggregators for Evolving Distribution System Operators

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Journal of Modern Power Systems and Clean Energy 2022年第2期10卷 277-285页

作者： Luka Strezoski Harsha Padullaparti Fei Ding murali Baggu the Department for Power Electronicsand TelecommunicationsFaculty of Technical SciencesUniversity of Novi SadNovi SadSerbiaand he is also with Schneider Electric DMS CompanyNovi SadSerbia Energy System Integration National Renewable Energy LaboratoryGoldenUSA

With the rapid integration of distributed energy resources(DERs),distribution utilities are faced with new and unprecedented *** challenges introduced by high penetra-tion of DERs range from poor observability to overload and reverse power flow problems,under-/over-voltages,maloperation of legacy protection systems,and requirements for new planning *** utility personnel are not adequately trained,and legacy control centers are not properly equipped to cope with these ***,distribution energy resource management systems(DERMSs)are emerging software technologies aimed to provide distribution system operators(DSOs)with a specialized set of tools to enable them to overcome the issues caused by DERs and to maximize the benefits of the presence of high penetration of these novel ***,as DERMS technology is still emerging,its definition is vague and can refer to very different levels of software hierarchies,spanning from decentralized virtual power plants to DER aggregators and fully centralized enterprise systems(called utility DERMS).Although they are all frequently simply called DERIMS,these software technologies have different sets of tools and aim to provide different services to different *** paper explores how these different software technologies can complement each other,and how they can provide significant benefits to DSOs in enabling them to successfully manage evolving distribution networks with high penetration of DERs when they are integrated together into the control centers of distribution utilities.

关键词： Distributed generation distributed energy resource(DER) aggregator distributed energy resource management system(DERMS) non-wire alternatives.

Enhanced resistive switching properties of HfAlOx/ZrO2- based RRAM devices

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Progress in Natural Science:Materials International 2022年第5期32卷 602-607页

作者： P.R.Sekhar Reddy Venkata Raveendra Nallagatla Yedluri Anil Kumar G.murali School of Material Science and Engineering Pusan National University Department of Physics and Oxide Research Centre Memory and Catalyst Research Center Hankuk University of Foreign Studies Materials Center Leoben Forschung GmbH Department of Physics United Arab Emirates University Department of Polymer Science and Engineering Department of IT-Energy Convergence (BK21 FOUR) Chemical Industry Institute Korea National University of Transportation

Resistive Random-Access Memory(RRAM) devices are recognized as potential candidates for next-generation memory devices, due to their smallest cell size, high write/erase speed, and endurance. Particularly, the resistive switching(RS) characteristics in oxide materials have offered new opportunities for developing CMOScompatible high-density RRAM devices. In this study, the RS behavior of HfAlOx/ZrO2thin films sandwiched structure between TiN bottom electrode and Au top electrodes were investigated. It was found that Au/HfAlOx/ZrO2/TiN stacks were superior in terms of RS performance when compare to Au/HfAlOx/TiN memory stacks. The devices demonstrated a good resistance ratio of high resistance state and low resistance state ～103 for Au/HfAlOx/TiN and ～105 for Au/HfAlOx/ZrO2/TiN stacks, respectively. Both stacks showed good retention characteristics(>104s) and endurance(>103cycles). The experimental current-voltage characteristics fitted with different conducting mechanisms, the linear lower bias region is dominated by ohmic conductivity, whereas the non-linear higher bias region was dominated by space-charge limited current conduction mechanism.

关键词： Nonvolatile memory RRAM Resistive switching mechanism Atomic layer deposition Current conduction mechanism

A Review on Interface Engineering of MXenes for Perovskite Solar Cells

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Nano-Micro Letters 2023年第8期15卷 270-308页

作者： Srikanta Palei G.murali Choong‑Hee Kim Insik In Seul‑Yi Lee Soo‑Jin Park Department of Chemistry Inha University100 InharoIncheon 22212South Korea Department of Polymer Science and Engineering Department of IT‑Energy Convergence(BK21 Four)Chemical Industry InstituteKorea National University of TransportationChungju 27469South Korea

With an excellent power conversion efficiency of 25.7%,closer to the Shockley–Queisser limit,perovskite solar cells(PSCs)have become a strong candidate for a next-generation energy ***,the lack of stability and reliability in PSCs remained challenging for ***,such as interfacial and structural engineering,have a more critical influence on enhanced ***,two-dimensional materials,have emerged as promising materials in solar cell applications due to their metallic electrical conductivity,high carrier mobility,excellent optical transparency,wide tunable work function,and superior mechanical *** to different choices of transition elements and surface-terminating functional groups,MXenes possess the feature of tuning the work function,which is an essential metric for band energy alignment between the absorber layer and the charge transport layers for charge carrier extraction and collection in ***,adopting MXenes to their respective components helps reduce the interfacial recombination resistance and provides smooth charge transfer paths,leading to enhanced conductivity and operational stability of *** review paper aims to provide an overview of the applications of MXenes as components,classified according to their roles as additives(into the perovskite absorber layer,charge transport layers,and electrodes)and themselves alone or as interfacial layers,and their significant importance in PSCs in terms of device performance and ***,we discuss the present research status and future directions toward its use in PSCs.

关键词： MXenes Perovskite solar cells Additives Interfacial layer Electrodes

Evaluation of artificial intelligence models for osteoarthritis of the knee using deep learning algorithms for orthopedic radiographs

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World Journal of Orthopedics 2022年第6期13卷 603-614页

作者： Anjali Tiwari murali Poduval Vaibhav Bagaria Department of Orthopedics Sir H.N.Reliance Foundation Hospital and Research CentreMumbai 400004India Lifesciences Engineering Tata Consultancy ServicesMumbai 400096India Department of Orthopedics Columbia Asia HospitalMumbai 400004India

BACKGROUND Deep learning,a form of artificial intelligence,has shown promising results for interpreting *** order to develop this niche machine learning(ML)program of interpreting orthopedic radiographs with accuracy,a project named deep learning algorithm for orthopedic radiographs was *** the first phase,the diagnosis of knee osteoarthritis(KOA)as per the standard Kellgren-Lawrence(KL)scale in medical images was conducted using the deep learning algorithm for orthopedic *** To compare efficacy and accuracy of eight different transfer learning deep learning models for detecting the grade of KOA from a radiograph and identify the most appropriate ML-based model for the detecting grade of *** The study was performed on 2068 radiograph exams conducted at the Department of Orthopedic Surgery,Sir HN Reliance Hospital and Research Centre(Mumbai,India)during *** orthopedic surgeons reviewed these independently,graded them for the severity of KOA as per the KL scale and settled disagreement through a consensus *** models,namely ResNet50,VGG-16,InceptionV3,MobilnetV2,EfficientnetB7,DenseNet201,Xception and NasNetMobile,were used to evaluate the efficacy of ML in accurately classifying radiographs for KOA as per the KL *** of the 2068 images,70%were used initially to train the model,10%were used subsequently to test the model,and 20%were used finally to determine the accuracy of and validate each *** idea behind transfer learning for KOA grade image classification is that if the existing models are already trained on a large and general dataset,these models will effectively serve as generic models to fulfill the study’s ***,in order to benchmark the efficacy,the results of the models were also compared to a first-year orthopedic trainee who independently classified these models according to the KL *** Our network yielded an overall high accuracy for detecting KOA,ranging from 5

关键词： Osteoarthritis Artificial intelligence Knee Computer vision Machine leaning Deep learning

Computation of PoA for Selfish Node Detection and Resource Allocation Using Game Theory

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Computer Systems Science & Engineering 2023年第11期47卷 2583-2598页

作者： S.Kanmani M.murali Department of CSE SRM Institute of Science and TechnologyKattankulathur603203India Department of Computing Technologies SRM Institute of Science and TechnologyKattankulathur603203India

The introduction of new technologies has increased communication network coverage and the number of associating nodes in dynamic communication networks(DCN).As the network has the characteristics like decentralized and dynamic,few nodes in the network may not associate with other *** uncooperative nodes also known as selfish nodes corrupt the performance of the cooperative ***,the nodes cause congestion,high delay,security concerns,and resource *** study presents an effective selfish node detection method to address these *** Price of Anarchy(PoA)and the Price of Stability(PoS)in Game Theory with the Presence of Nash Equilibrium(NE)are discussed for the Selfish Node *** is a novel experiment to detect selfish nodes in a network using ***,the least response dynamic-based Capacitated Selfish Resource Allocation(CSRA)game is introduced to improve resource usage among the *** suggested strategy is simulated using the Solar Winds simulator,and the simulation results show that,when compared to earlier methods,the new scheme offers promising performance in terms of delivery rate,delay,and throughput.

关键词： Dynamic communication network(DCN) price of anarchy(PoA) nash equilibrium(NE) capacitated selfish resource allocation(CSRA)game game theory price of stability(PoS)