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First molluscan antimicrobial peptide hydramacin in Manila clam:molecular characterization and expression analysis

Journal of Coastal Life Medicine 2014年第6期 447-452页

作者： Youngdeuk Lee saranya revathy k Sukkyoung Lee Ilson Whang Chulhong Oh Do-Hyung kang Gee-Wook Shin Jehee Lee Mahanama De Zoysa korea Institute of Ocean Science&Technology Ansan426-744Republic of Korea Department of Marine Life Sciences School of Marine Biomedical SciencesJeju National UniversityJeju Special Self-Governing Province690-756Republic of Korea College of Veterinary Medicine Chonbuk National UniversityJeonju561-756Republic of Korea Marine and Environmental Institute Jeju National UniversityJeju Special Self-Governing Province 690-814Republic of Korea College of Veterinary Medicine and Research Institute of Veterinary Medicine Chungnam National UniversityYuseong-guDaejeon305-764Republic of Korea

Objective:To investigate molecular characterization and the immune responses of Manila clam hydramacin(Rp-hdmc).Methods:cDNA sequence of hydramacin was isolated from Manila clam transcriptome *** characterization of hydramacin cDNA was performed by BLAST and SWISS-MODEL bioinformatics ***-specific expression and transcriptional regulation after Vibrio tapetis challenge was done by quantitative real time ***:Rp-hdmc has 291 bp open reading frame(ORF),encoding 97 amino acids with a mature hydramacin consisting of 77 amino acid *** un-challenged clam,Rp-hdmc was constitutively expressed in all tested tissues and the highest expression level was detected in *** pathogenic bacteria Vibrio tapetis challenge,Rp-hdmc mRNA was up-regulated in gill and ***:We identified hydramacin cDNA(Rp-hdmc)from mollusk Manila clam that shows the characteristic features of hydramacin *** has eight cysteine residues with four disulfide linkages,three helices and two β-strands in secondary *** results after *** challenges suggest that Rp-hdmc is involved in immune response against pathogenic bacteria.

关键词： Manila clam Ruditapes philippinarum Hydramacin Antimicrobial peptide

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Bio-Inspired Intelligent Routing in WSN: Integrating Mayfly Optimization and Enhanced Ant Colony Optimization for Energy-Efficient Cluster Formation and Maintenance

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Computer Modeling in Engineering & Sciences 2024年第10期141卷 127-150页

作者： V.G.saranya S.karthik Department of Electronics and Communication Engineering Faculty of Engineering&TechnologySRM Institute of Science and TechnologyVadapalani CampusChennai600026India

Wireless Sensor Networks(WSNs)are a collection of sensor nodes distributed in space and connected through wireless *** sensor nodes gather and store data about the real world around ***,the nodes that are dependent on batteries will ultimately suffer an energy loss with time,which affects the lifetime of the *** research proposes to achieve its primary goal by reducing energy consumption and increasing the network’s lifetime and *** present technique employs the hybrid Mayfly Optimization Algorithm-Enhanced Ant Colony Optimization(MFOA-EACO),where the Mayfly Optimization Algorithm(MFOA)is used to select the best cluster head(CH)from a set of nodes,and the Enhanced Ant Colony Optimization(EACO)technique is used to determine an optimal route between the cluster head and base *** performance evaluation of our suggested hybrid approach is based on many parameters,including the number of active and dead nodes,node degree,distance,and energy *** objective is to integrate MFOA-EACO to enhance energy efficiency and extend the network life of the WSN in the *** proposed method outcomes proved to be better than traditional approaches such as Hybrid Squirrel-Flying Fox Optimization Algorithm(HSFLBOA),Hybrid Social Reindeer Optimization and Differential Evolution-Firefly Algorithm(HSRODE-FFA),Social Spider Distance Sensitive-Iterative Antlion Butterfly Cockroach Algorithm(SADSS-IABCA),and Energy Efficient Clustering Hierarchy Strategy-Improved Social Spider Algorithm Differential Evolution(EECHS-ISSADE).

关键词： Enhanced ant colony optimization mayfly optimization algorithm wireless sensor networks cluster head base station(BS)

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Crosstalk between Wnt and bone morphogenetic protein signaling during osteogenic differentiati

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World Journal of Stem Cells 2024年第2期16卷 102-113页

作者： Pakkath Narayanan Arya Iyyappan saranya Nagarajan Selvamurugan Department of Biotechnology School of BioengineeringSRM Institute of Science and TechnologyKattankulathur 603203India

Mesenchymal stem cells(MSCs)originate from many sources,including the bone marrow and adipose tissue,and differentiate into various cell types,such as osteoblasts and *** studies on MSCs have revealed that many transcription factors and signaling pathways control osteogenic *** is the process by which new bones are formed;it also aids in bone ***/β-catenin and bone morphogenetic protein(BMP)signaling pathways are involved in many cellular processes and considered to be essential for ***/β-catenin and BMPs are important for bone formation in mammalian development and various regulatory activities in the *** studies have indicated that these two signaling pathways contribute to osteogenic *** Wnt signaling pathway promotes osteogenesis by activating the downstream targets of the BMP signaling ***,we briefly review the molecular processes underlying the crosstalk between these two pathways and explain their participation in osteogenic differentiation,emphasizing the canonical *** review also discusses the crosstalk mechanisms of Wnt/BMP signaling with Notch-and extracellular-regulated kinases in osteogenic differentiation and bone development.

关键词： Bone Mesenchymal stem cells Osteogenic differentiation Wnt/β-catenin Bone morphogenetic proteins

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Enhancing Security in QR Code Technology Using AI: Exploration and Mitigation Strategies

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International Journal of Intelligence Science 2024年第2期14卷 49-57页

作者： saranya Vaithilingam Santhosh Aradhya Mohan Shankar Department of Information Technology University of the Cumberlands Williamsburg KY USA

The widespread adoption of QR codes has revolutionized various industries, streamlined transactions and improved inventory management. However, this increased reliance on QR code technology also exposes it to potential security risks that malicious actors can exploit. QR code Phishing, or “Quishing”, is a type of phishing attack that leverages QR codes to deceive individuals into visiting malicious websites or downloading harmful software. These attacks can be particularly effective due to the growing popularity and trust in QR codes. This paper examines the importance of enhancing the security of QR codes through the utilization of artificial intelligence (AI). The abstract investigates the integration of AI methods for identifying and mitigating security threats associated with QR code usage. By assessing the current state of QR code security and evaluating the effectiveness of AI-driven solutions, this research aims to propose comprehensive strategies for strengthening QR code technology’s resilience. The study contributes to discussions on secure data encoding and retrieval, providing valuable insights into the evolving synergy between QR codes and AI for the advancement of secure digital communication.

关键词： Artificial Intelligence Cyber Security QR Codes Quishing AI Framework Machine Learning AI-Enhanced Security

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Breast cancer awareness in reproductive women in the low-and middle-income countries:a scoping review

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Frontiers of Nursing 2024年第2期11卷 139-151页

作者： Made Satya Nugraha Gautama saranya Pimolkatekul Nguyen Ngoc Nhat Thanh Department of Nursing Faculty of MedicineUniversitas Pendidikan GaneshaBali 81116Indonesia School of Nursing College of NursingTaipei Medical UniversityTaipeiTaiwan 110China Global Health and Development Program College of Public HealthTaipei Medical UniversityTaipeiTaiwan 110China

Objective:This study aimed to assess breast cancer(BC)awareness among reproductive women in low-and middle-income countries(LMICs),identify influencing factors,and propose feasible interventions or ***:We followed a 5-step process using a modified version of Arksey and O’Malley framework methodology.A comprehensive search was conducted on the Embase,PubMed,and CINAHL electronic databases for literature published within 10 years(from 2012 to 2022).Results:Thirty-three papers published between 2012 and 2020,spanning 18 countries,were *** these,45.6%described a good level of knowledge,while 24.2%reported that women at reproductive ages had good *** influencing factors were identified in 3 categories:socio-demographic(family history,personal history,marital status,age,religion,income status,living place,and occupation),personal(self-efficacy,education,and perceived level),and external(advertisements promoting awareness).Educational programs were recommended in most(>72%)of the included ***:While most studies reported high levels of knowledge and awareness,some found low prevalence among certain *** affecting knowledge and awareness were classified into socio-demographic,personal,and external categories,with socio-demographic factors such as age,education,income,and marital status being the most frequently *** studies recommended implementing educational programs,health prevention strategies,and social interventions to increase BC knowledge and awareness.

关键词： awareness breast cancer low-and middle-income countries reproductive women scoping review

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Early Detection of Heartbeat from Multimodal Data Using RPA Learning with kDNN-SAE

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Computer Systems Science & Engineering 2023年第4期45卷 545-562页

作者： A.k.S.saranya T.Jaya Department of Electronics and Communication Engineering Ponjesly College of EngineeringNagercoilIndia Department of Electronics and Communication Engineering CSI Institute of TechnologyNagercoilIndia

Heartbeat detection stays central to cardiovascular an electrocardiogram(ECG)is used to help with disease diagnosis and *** Convolutional Neural Network(CNN)-based methods suffer from the less generalization problem thus;the effectiveness and robustness of the traditional heartbeat detector methods cannot be *** contrast,this work proposes a heartbeat detector krill based Deep Neural Network Stacked Auto Encoders(kDNN-SAE)that computes the disease before the exact heart rate by combining features from multiple ECG *** are classified independently and multiple signals are fused to estimate life threatening conditions earlier without any error in classification of heart *** work contained Training and testing stages,in the preparation part at first the Adaptive Filter Enthalpy-based Empirical Mode Decomposition(EMD)is utilized to eliminate the motion artifact in the *** that point,the robotic process automation(RPA)learning part extracts the effective features are extracted,and normalized the value of the feature then estimated utilizing the RPA loss *** last kDNN-SAE prepared training for the data stored in the *** the subsequent stage,input signal compute motion artifact and RPA Learning the evaluation part determines the detection of *** early diagnosis of heart failures is an essential *** results of the experiments show that our proposed method has a high score outcome of *** to the CIF,which reaches *** CNN and Artificial Neural Network(ANN)had less score 0.95115 and 0.90147.

关键词： Deep neural network krill herd optimization stack auto-encoder adaptive filter enthalpy based empirical mode decomposition robotic process automation

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Multi Attribute Case Based Privacy-preserving for Healthcare Transactional Data Using Cryptography

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Intelligent Automation & Soft Computing 2023年第2期35卷 2029-2042页

作者： k.saranya k.Premalatha Department of Computer Science and Engineering Bannari Amman Institute of TechnologySathyamangalam638401India

Medical data mining has become an essential task in healthcare sector to secure the personal and medical data of patients using privacy *** this background,several authentication and accessibility issues emerge with an inten-tion to protect the sensitive details of the patients over getting published in open *** solve this problem,Multi Attribute Case based Privacy Preservation(MACPP)technique is proposed in this study to enhance the security of privacy-preserving *** information can be any attribute information which is categorized as sensitive logs in a patient’s *** semantic relation between transactional patient records and access rights is estimated based on the mean average value to distinguish sensitive and non-sensitive *** addition to this,crypto hidden policy is also applied here to encrypt the sensitive data through symmetric standard key log veriﬁcation that protects the personalized sensitive ***,linear integrity veriﬁcation provides authentication rights to verify the data,improves the performance of privacy preserving techni-que against intruders and assures high security in healthcare setting.

关键词： Privacy-preserving crypto policy medical data mining integrity and veriﬁcation personalized records cryptography

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Titanate incorporated anodized coating on magnesium alloy for corrosion protection,antibacterial responses and osteogenic enhancement

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Journal of Magnesium and Alloys 2022年第4期10卷 1109-1123页

作者： saranya.k Bhuvaneswari.S Suvro Chatterjee Rajendran.N Department of Chemistry College of Engineering Guindy CampusAnna UniversityChennaiTamil Nadu 600025India Vascular Biology Lab AU-KBC Research CentreAnna UniversityChromepetChennaiTamil Nadu 600044India

The rapid degradation of Mg alloy was reduced by incorporating titanate on a fluorine-based anodized *** coating shows(i)excellent biomineralization ability,(ii)improved local and periodical corrosion behavior and(iii)enhanced expression of osteogenic factors(Runx2,Col 1,OCN and OPN)along with(iv)the antibacterial *** fluoride and magnesium ions dissolution from the anodized layer is responsible for the better expression of osteogenic factors and antibacterial *** preparation of the titanate incorporated anodized Mg alloy(Ti-AMg)is a facile solution to overcome the implant-associated bacterial infections with required biological functions including progression of bone ingrowth and biocompatibility.

关键词： AZ31 Magnesium alloy Titanate Anodization Localized electrochemical impedance spectroscopy Osteogenic factor Anti-bacterial

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Enhancing Security in QR Code Technology Using AI: Exploration and Mitigation Strategies

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International Journal of Intelligence Science（智能科学国际期刊） 2024年第2期 49页

作者： saranya Vaithilingam Santhosh Aradhya Mohan Shankar

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Effects of space and temperature dependent internal heat generation/absorption on MHD flow of a nanofluid over a stretching sheet

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Journal of Hydrodynamics 2015年第6期27卷 945-954页

作者： GANGA B. saranya S. VISHNU GANESH N. ABDUL HAkEEM A.k. Department of Mathematics Providence College for Women Department of Mathematics Sri Ramakrishna Mission Vidyalaya College of Arts and Science

In this paper we analyzed the effects of space and temperature dependent intemal heat generation/absorption （non-uniform heat source/sink） on magnetohydrodynamic boundary layer flow of water based nanofluid over a stretching sheet with different nanoparticles. The flow is generated due to linear stretching of the sheet and influenced by uniform magnetic field, which is applied normally to the stretching sheet. A scaling group of transformation is used to reduce the governing momentum and energy equations into non-linear ordinary differential equations. The resulting differential equations are solved analytically using hypergeometric functions and numerically by the fourth order Runge-kutta method with shooting technique. The influence of nanoparticle volume fraction, magnetic field, Prandtl number, non uniform heat source/sink, local skin friction coefficient and reduced Nusselt number are investigated for different nanoparticles.

关键词： nanofluid MHD heat generation/absorption stretching sheet

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