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Anticancer potential of Alternanthera sessilis extract on HT-29 human colon cancer cells

Asian Pacific Journal of Tropical Biomedicine 2018年第8期8卷 394-402页

作者： Sivapragasam Gothai Katyakyini Muniandy Norhaizan Mohd Esa Suresh Kumar Subbiah palanisamy arulselvan Laboratory of Vaccines and Immunotherapeutics Institute of Bioscience Universiti Putra Malaysia Department of Nutrition and Dietetics Faculty of Medicine and Health Sciences Universiti Putra Malaysia Department of Medical Microbiology and Parasitology Faculty of Medicine and Health Sciences Universiti Putra Malaysia Muthayammal Centre for Advanced Research Muthayammal College of Arts and Science Scigen Research and Innovation Pvt. Ltd. Periyar Technology Business Incubator

Objective: To identify the bioactive extracts from Alternanthera sessilis and investigate its cytotoxicity potential against colon cancer cells, HT-29. Methods: This study examined the effects of three parts(aerial, leaf, stem) of whole plant on HT-29 colon cancer cell lines. Three different extracts from the plant parts were prepared by maceration technique using 80% ethanol. The anticancer activities were determined using MTT, clonogenic, cell motility and AOPI assay. The chemical composition profiling was analyzed by GC-MS. Results: Among three plant part extracts, leaf extract greatly suppressed the growth of colon cancer cells in time and dosage-dependent manner, followed by aerial and stem. The cytotoxicity results were rationalized with clonogenic, cell motility and AO/PI assay, where extract showed the most active activity compared to aerial and stem extracts. GC-MS analysis of leaf extract showed there were various recognized anti-cancer, anti-oxidant and anti-inflammatory compounds. Conclusions: Amid the screened extracts, the leaf extract exhibits the credible cytotoxic, anti-proliferative and apoptotic activity and hence, our findings call for additional research to conclude the active compounds and their mechanisms determining the apoptotic activity.

关键词： Alternanthera sessilis Colorectal cancer Anticancer HT-29 Apoptosis

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Nonparametric Statistical Feature Scaling Based Quadratic Regressive Convolution Deep Neural Network for Software Fault Prediction

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Computers, Materials & Continua 2024年第3期78卷 3469-3487页

作者： Sureka Sivavelu Venkatesh palanisamy School of Computer Science Engineering and Information Systems Vellore Institute of TechnologyVellore632014India

The development of defect prediction plays a significant role in improving software quality. Such predictions are used to identify defective modules before the testing and to minimize the time and cost. The software with defects negatively impacts operational costs and finally affects customer satisfaction. Numerous approaches exist to predict software defects. However, the timely and accurate software bugs are the major challenging issues. To improve the timely and accurate software defect prediction, a novel technique called Nonparametric Statistical feature scaled QuAdratic regressive convolution Deep nEural Network (SQADEN) is introduced. The proposed SQADEN technique mainly includes two major processes namely metric or feature selection and classification. First, the SQADEN uses the nonparametric statistical Torgerson–Gower scaling technique for identifying the relevant software metrics by measuring the similarity using the dice coefficient. The feature selection process is used to minimize the time complexity of software fault prediction. With the selected metrics, software fault perdition with the help of the Quadratic Censored regressive convolution deep neural network-based classification. The deep learning classifier analyzes the training and testing samples using the contingency correlation coefficient. The softstep activation function is used to provide the final fault prediction results. To minimize the error, the Nelder–Mead method is applied to solve non-linear least-squares problems. Finally, accurate classification results with a minimum error are obtained at the output layer. Experimental evaluation is carried out with different quantitative metrics such as accuracy, precision, recall, F-measure, and time complexity. The analyzed results demonstrate the superior performance of our proposed SQADEN technique with maximum accuracy, sensitivity and specificity by 3%, 3%, 2% and 3% and minimum time and space by 13% and 15% when compared with the two sta

关键词： Software defect prediction feature selection nonparametric statistical Torgerson-Gower scaling technique quadratic censored regressive convolution deep neural network softstep activation function nelder-mead method

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Attenuation of lipopolysaccharide-induced neuroinflammatory events in BV-2 microglial cells by Moringa oleifera leaf extract

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Asian Pacific Journal of Tropical Biomedicine 2019年第3期9卷 109-115页

作者： Gothai Sivaprakasam Palanivel Ganesan Katyakyini Muniandy Shin-Young Park Duk-Yeon Cho Joon-So Kim palanisamy arulselvan Dong-Kug Choi Laboratory of Vaccines and Immunotherapeutics Institute of Bioscience Universiti Putra Malaysia Department of Biomedical Chemistry College of Biomedical & Health Science Konkuk University Nanotechnology Research Center Konkuk University Scigen Research and Innovation Pvt.Ltd. Periyar Technology Business Incubator Muthayammal Centre for Advanced Research Muthayammal College of Arts and Science Department of Biotechnology College of Biomedical and Health Science Konkuk University

Objective: To determine the anti-neuroinflammatory activity of Moringa oleifera leaf extract(MLE) under lipopolysaccharide stimulation of mouse murine microglia BV2 cells in vitro. Methods: The cytotoxicity effect of MLE was investigated by 3-(4, 5-dimethylthiazol-2-yl)-2, 5-diphenyl-tetrazolium bromide assay. The inflammatory response of BV-2 cells were induced with lipopolysaccharide. The generation of nitric oxide levels was determined by using Griess assay and the level of pro-inflammatory cytokines(IL-1β, IL-6 and TNF-α) was evaluated by ELISA kit. The expression of iNOS, COX-2 as well as IκB-ααwas carried out by immunoblot analysis. Results: MLE reduced the nitric oxide production in concentration-dependent manner, and maintained the viability of BV-2 microglial cells which indicated absence of toxicity. In addition, MLE repressed the activation of nuclear factor kappa B by arresting the deterioration of IκB-α, consequently resulted in suppression of cytokines expression such as COX-2 and iNOS. Conclusions: MLE inhibitory activities are associated with the inhibition of nuclear factor kappa B transcriptional activity in BV2 microglial cells. Thus MLE may offer a substantial treatment for neuroinflammatory diseases.

关键词： Moringa oleifera leaf extract BV2 microglial cells Neuro-inflammation Pro-inflammatory cytokines NF-κB signaling pathway

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Detection and defending the XSS attack using novel hybrid stacking ensemble learning-based DNN approach

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Digital Communications and Networks 2024年第3期10卷 716-727页

作者： Muralitharan Krishnan Yongdo Lim Seethalakshmi Perumal Gayathri palanisamy IMS Sungkyunkwan UniversitySuwon16419South Korea Department of Mathematics Sungkyunkwan UniversitySuwon16419South Korea Department of Information Technology Madras Institute of TechnologyChennaiIndia Department of Mathematics PSG College of Arts and ScienceTamilnaduIndia

Existing web-based security applications have failed in many situations due to the great intelligence of *** web applications,Cross-Site Scripting(XSS)is one of the dangerous assaults experienced while modifying an organization's or user's *** avoid these security challenges,this article proposes a novel,all-encompassing combination of machine learning(NB,SVM,k-NN)and deep learning(RNN,CNN,LSTM)frameworks for detecting and defending against XSS attacks with high accuracy and *** on the representation,a novel idea for merging stacking ensemble with web applications,termed“hybrid stacking”,is *** order to implement the aforementioned methods,four distinct datasets,each of which contains both safe and unsafe content,are *** hybrid detection method can adaptively identify the attacks from the URL,and the defense mechanism inherits the advantages of URL encoding with dictionary-based mapping to improve prediction accuracy,accelerate the training process,and effectively remove the unsafe JScript/JavaScript keywords from the *** simulation results show that the proposed hybrid model is more efficient than the existing detection *** produces more than 99.5%accurate XSS attack classification results(accuracy,precision,recall,f1_score,and Receiver Operating Characteristic(ROC))and is highly resistant to XSS *** order to ensure the security of the server's information,the proposed hybrid approach is demonstrated in a real-time environment.

关键词： Machine learning Deep neural networks Classification Stacking ensemble XSS attack URL encoding JScript/JavaScript Web security

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Quantitative detection of citrate for early stage diagnosing of prostate cancer:Discriminating normal to cancer in prostate tissues

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Chinese Chemical Letters 2024年第2期35卷 501-506页

作者： Selvaraj Muthusamy Kanagaraj Rajalakshmi palanisamy Kannan Yun-Sik Nam Dongwei Zhu Yeonggil Seo Jong-Won Song Dong Nyoung Heo Il Keun Kwon Yuanguo Xu School of Chemistry and Chemical Engineering Jiangsu UniversityZhenjiang 212013China College of Biological Chemical Sciences and EngineeringJiaxing UniversityJiaxing 314001China Advanced Analysis Center Korea Institute of Science & TechnologySeongbuk-guSeoul02792Republic of Korea School of Medicine Jiangsu UniversityZhenjiang 212013China Department of Chemistry Education Daegu UniversityGyeongsan-siGyeongsangbuk-do 38453Republic of Korea Department of Dental Materials School of DentistryKyung Hee UniversitySeoulRepublic of Korea

Prostate cancer(PC)biomarker-citrate detection is clinically important to diagnose PC in early *** iodide(Q)conjugated indole-phenylboronic acid(IB)was designed as a red-emissive QIB probe for the detection of citrate through Lewis acid-base reaction and intramolecular charge transfer(ICT)sensing *** acid acts as Lewis acid as well as citrate(Lewis base)recognition *** probe reacted with citrate,showing enhanced red *** the probe has excellent water solubility and great biocompatibility,practical application in biological systems is *** was monitored precisely in the mitochondria organelle(in vitro)of living cells with a positive charge on ***,endogenous(in situ)citrate was detected quantitatively to discriminate non-cancerous and PC mice,observed strong and lower(negligible)emission intensity on non-cancerous and cancerous prostate tissues,***,the concentration of citrate is higher in healthy prostate compared with PC ***,the analysis of sliced prostate tissues can give PC-related information for clinical diagnosis to prevent and treat PC in the initial ***,we believe that the present probe is a promising biochemical reagent in diagnosing PC.

关键词： Prostate cancer Biomarker-citrate Boronic acid Lewis acid/base-ICT Red-emissive Mitochondria targeting Prostate tissue

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基于双金属高核钛氧簇基电极的高性能超级电容器的制备

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无机化学学报 2024年第4期40卷 782-790页

作者：罗稳靳林 palanisamy Kannan 侯进乐霍鹏姚金忠王鹏周口师范学院河南省稀土功能材料重点实验室周口466001 嘉兴学院生物与化学工程学院嘉兴314001 聊城大学化学化工学院聊城252000 复旦大学航空航天系上海200433 嘉兴学院G60研究院嘉兴314001 西安理工大学仪器科学与技术博士后流动站西安710048

制备了一系列专为超级电容器设计的新型钛氧簇(TOCs,包括Zn-Ti11和Cd-Ti11),扩大了TOCs材料的潜在应用范围。此类材料具有的优异赝电容性能充分展示了钛基材料的优点。所制备的TOCs基超级电容器的最大功率密度为9.5 W·kg^(-1),能量密度... 详细信息

制备了一系列专为超级电容器设计的新型钛氧簇(TOCs,包括Zn-Ti11和Cd-Ti11),扩大了TOCs材料的潜在应用范围。此类材料具有的优异赝电容性能充分展示了钛基材料的优点。所制备的TOCs基超级电容器的最大功率密度为9.5 W·kg^(-1),能量密度为463 Wh·kg^(-1)。

关键词：钛氧簇超级电容器储能苯硫酚

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Adherence to Advisory Committee on Immunization Practices in diabetes mellitus patients in Saudi Arabia:A multicenter retrospective study

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World Journal of Diabetes 2024年第3期15卷 440-454页

作者： Saleh Fahad Alqifari Aya K Esmail Dalal M Alarifi Ghalya Y Alsuliman Maram M Alhati May R Mutlaq Mohammed Aldhaeefi Shaden A Alshuaibi palanisamy Amirthalingam Abrar Abdallah Afaf S Wasel Heba R Hamad Shoroq Alamin Tasneem H Atia Tariq Alqahtani Department of Pharmacy Practice University of TabukTabuk 71491Saudi Arabia Department of Clinical Sciences Sulaiman Alrajhi UniversityQassim 52726Saudi Arabia Department of Family Medicine International Medical CenterJeddah 23214Saudi Arabia Clinical and Administrative Pharmacy Sciences College of PharmacyHoward UniversityWashingtonDC 20059United States Department of Pharmacology King Saud Bin Abdulaziz University for Health SciencesKing Abdullah International Medical Research CenterRiyadh 11481Saudi Arabia

BACKGROUND Patients with diabetes mellitus(DM)are predisposed to an increased risk of infection signifying the importance of vaccination to protect against its potentially severe *** Centers for Disease Control and Prevention/Advisory Committee on Immunization Practices(CDC/ACIP)issued immunization recommendations to protect this patient *** To assess the adherence of patients with DM to the CDC/ACIP immunization recommendations in Saudi Arabia and to identify the factors associated with the vaccine adherence *** An observational retrospective study conducted in 2023 was used to collect data on the vaccination records from 13 diabetes care centers in Saudi Arabia with 1000 eligible patients in phase I with data collected through chart review and 709 patients in phase II through online *** Among participants,10.01%(n=71)had never received any vaccine,while 85.89%(n=609)received at least one dose of the coronavirus disease 2019(COVID-19)vaccine,and 34.83%(n=247)had received the annual influenza *** 2.96%(n=21),2.11%(n=15),and 1.12%(n=8)received herpes zoster,tetanus,diphtheria,and pertussis(Tdap),and human papillomavirus(HPV)vaccines,*** patients with DM in Saudi Arabia,the rate of vaccination for annual influenza and COVID-19 vaccines was higher compared to other vaccinations such as herpes zoster,Tdap,pneumococcal,and *** such as vaccine recommendations provided by family physicians or specialists,site of care,income level,DM-related hospitalization history,residency site,hemoglobin A1c(HbA1c)level,and health sector type can significantly influence the vaccination rate in patients with *** non-vaccinated patients with DM,the most reported barriers were lack of knowledge and fear of side *** signifies the need for large-scale research in this area to identify additional factors that might facilitate adherence to CDC/ACIP vaccine recommendations in patients with *** In S

关键词： Diabetes mellitus Vaccine recommendation COVID-19 vaccine Influenza vaccine Pneumococcal vaccine Immunization Retrospective study

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FPGA Implementation of Deep Leaning Model for Video Analytics

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Computers, Materials & Continua 2022年第4期71卷 791-808页

作者： P.N.palanisamy N.Malmurugan Mahendra College of Engineering SalemIndia

In recent years,deep neural networks have become a fascinating and influential research subject,and they play a critical role in video processing and ***,video analytics are predominantly hardware centric,exploration of implementing the deep neural networks in the hardware needs its brighter light of ***,the computational complexity and resource constraints of deep neural networks are increasing exponentially by *** neural networks are one of the most popular deep learning architecture especially for image classification and video *** these algorithms need an efficient implement strategy for incorporating more real time computations in terms of handling the videos in the *** programmable Gate arrays(FPGA)is thought to be more advantageous in implementing the convolutional neural networks when compared to Graphics Processing Unit(GPU)in terms of energy efficient and low computational *** still,an intelligent architecture is required for implementing the CNN in FPGA for processing the *** paper introduces a modern high-performance,energy-efficient Bat Pruned Ensembled Convolutional networks(BPEC-CNN)for processing the video in the *** system integrates the Bat Evolutionary Pruned layers for CNN and implements the new shared Distributed Filtering Structures(DFS)for handing the filter layers in CNN with pipelined data-path in *** addition,the proposed system adopts the hardware-software co-design methodology for an energy efficiency and less computational *** extensive experimentations are carried out using CASIA video datasets with ARTIX-7 FPGA boards(number)and various algorithms centric parameters such as accuracy,sensitivity,specificity and architecture centric parameters such as the power,area and throughput are *** results are then compared with the existing pruned CNN architectures such as CNN-Prunner in which the proposed architecture has been shown

关键词： Deep neural networks field programmable gate arrays convolutional neural networks distributed filtering structures bat-pruned

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Facile synthesis of NiAl_(2)O_(4)/g-C_(3)N_(4) composite for efficient photocatalytic degradation of tetracycline

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Journal of Environmental Sciences 2023年第5期127卷 700-713页

作者： Huagen Liang Chenxi Zhu Anhu Wang Kannan palanisamy Fu Chen Jiangsu Key Laboratory of Coal-based Greenhouse Gas Control and Utilization Carbon Neutrality InstituteChina University of Mining and TechnologyXuzhou 221008China School of Materials and Physics China University of Mining and TechnologyXuzhou 221008China College of Biological Chemical Science and EngineeringJiaxing UniversityJiaxing 314001China School of Public Administration Hohai UniversityNanjing 210098China

Designing high-efficiency photocatalysts responsive to visible light is important for the degradation of antibiotics in *** engineering is undoubtedly an effective strategy to improve the photocatalytic *** this work,spinel-type metal oxides(NiAl_(2)O_(4),NAO)are synthesized by a simple sol-gel and calcination *** compounding graphitic carbon nitride(g-C_(3)N_(4)),NAO/g-C_(3)N_(4) heterojunction is obtained,which then is used as the photocatalyst for tetracycline hydrochloride(TC).The effects of photocatalyst dosage,the initial concentration of TC,and solution pH on photodegradation performance are systematically *** removal rate of TC on NAO/g-C_(3)N_(4) reach up to∼90%after visible light irradiation for 2 hr and the degradation rate constant is∼7 times,and∼32 times higher than that of pure NAO and g-C_(3)N_(4).The significantly improved photocatalytic activity can be attributed to the synergistic effect between well matched energy levels in NAO/g-C_(3)N_(4) heterojunctions,improvement of interfacial charge transfer,and enhancement of visible light *** study provides a way for the synthesis of efficient photocatalysts and an economic strategy for removing antibiotics contamination in water.

关键词： Graphitic carbon nitride Spinel-type metal oxides Heterostructure Photocatalytic degradation Antibiotic

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Novel Block Chain Technique for Data Privacy and Access Anonymity in Smart Healthcare

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Intelligent Automation & Soft Computing 2023年第1期35卷 243-259页

作者： J.Priya C.palanisamy Department of Information Technology Bannari Amman Institute of TechnologyErode638401TamilnaduIndia

The Internet of Things (IoT) and Cloud computing are gaining popularity due to their numerous advantages, including the efficient utilization of internetand computing resources. In recent years, many more IoT applications have beenextensively used. For instance, Healthcare applications execute computations utilizing the user’s private data stored on cloud servers. However, the main obstaclesfaced by the extensive acceptance and usage of these emerging technologies aresecurity and privacy. Moreover, many healthcare data management system applications have emerged, offering solutions for distinct circumstances. But still, theexisting system has issues with specific security issues, privacy-preserving rate,information loss, etc. Hence, the overall system performance is reduced significantly. A unique blockchain-based technique is proposed to improve anonymityin terms of data access and data privacy to overcome the above-mentioned ***, the registration phase is done for the device and the user. After that, theGeo-Location and IP Address values collected during registration are convertedinto Hash values using Adler 32 hashing algorithm, and the private and publickeys are generated using the key generation centre. Then the authentication is performed through login. The user then submits a request to the blockchain server,which redirects the request to the associated IoT device in order to obtain thesensed IoT data. The detected data is anonymized in the device and stored inthe cloud server using the Linear Scaling based Rider Optimization algorithmwith integrated KL Anonymity (LSR-KLA) approach. After that, the Time-stamp-based Public and Private Key Schnorr Signature (TSPP-SS) mechanismis used to permit the authorized user to access the data, and the blockchain servertracks the entire transaction. The experimental findings showed that the proposedLSR-KLA and TSPP-SS technique provides better performance in terms of higherprivacy-preserving rate, lower info

关键词： Adler 32 hashing algorithm linear scaling based rider optimization algorithm with integrated KL anonymity(LSR-KLA) timestamp-based public and private key schnorr signature(TSPP-SS) blockchain internet of things(IoT) healthcare

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