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环球动物趣闻

小哥白尼（野生动物） 2024年第7期 10-11页

作者： J govindaraj.图) 无不详视觉中国

网罗全球新奇趣,动物园顶级“热搜”齐聚,保准你看完本期想下期。黄金龟的身份印度西孟加拉邦,有人发现了一只样貌特殊的龟。这只龟通体金黄,就像一个长了腿的大蛋黄。发现这只龟的人以为自己发现了什么新物种,还准备给它起名字,却被告... 详细信息

网罗全球新奇趣,动物园顶级“热搜”齐聚,保准你看完本期想下期。黄金龟的身份印度西孟加拉邦,有人发现了一只样貌特殊的龟。这只龟通体金黄,就像一个长了腿的大蛋黄。发现这只龟的人以为自己发现了什么新物种,还准备给它起名字,却被告知这是一种极为罕见的白化缘板鳖。后来,这只“黄金鳖”当然是被放归野外了。

关键词：西孟加拉邦放归黄金龟新物种缘板鳖蛋黄

Design and synthesis of 4-(1-(4-chlorobenzyl)-2,3-dioxoindolin-5-yl)-1 -(4-substituted/unsubstituted benzylidene) semicarbazide:Novel agents with analgesic,anti-inflammatory and ulcerogenic properties

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Chinese Chemical Letters 2012年第5期23卷 541-544页

作者： Chinnasamy Rajaram Prakash Sundararajan Raja govindaraj.saravanan Department of Medicinal Chemistry DCRM Pharmacy CollegeJNTUHAndhra PradeshIndia Department of Pharmaceutical Chemistry GITAM Institute of PharmacyGITAM UniversityVizagAndhra PradeshIndia Medicinal Chemistry Research Laboratory Bapatla College of PharmacyBapatla 522 101Andhra PradeshIndia

A new series of isatin semicarbazide derivatives（7a-7j） were synthesized and characterized by spectroscopic means and elemental *** and anti-inflammatory screening was performed using tail-flick technique and the carrageenan-induced foot paw edema test *** ulcerogenicity was also determined for all the *** of the compounds showed moderate enhancement of the *** the synthesized derivatives,compound 7d showed higher analgesic, antiinflammatory and one-third of ulcer index of the reference drug.

关键词： Isatin Anti-nociceptive Schiff base Ulcerogenicity

A Novel Framework for DDoS Attacks Detection Using Hybrid LSTM Techniques

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Computer Systems Science & Engineering 2023年第6期45卷 2553-2567页

作者： Anitha Thangasamy Bose Sundan Logeswari govindaraj Department of Computer Science and Engineering College of Engineering GuindyAnna UniversityChennai-600025TamilndauIndia

The recent development of cloud computing offers various services on demand for organization and individual users,such as storage,shared computing space,networking,*** Cloud Computing provides various advantages for users,it remains vulnerable to many types of attacks that attract cyber *** Denial of Service(DDoS)is the most common type of attack on cloud ***,Cloud computing professionals and security experts have focused on the growth of preventive processes towards DDoS *** DDoS attacks have become increasingly widespread,it becomes difficult for some DDoS attack methods based on individual network flow features to distinguish various types of DDoS ***,the monitoring pattern of traffic changes and accurate detection of DDoS attacks are most important and *** this research work,DDoS attack detection methods based on deep belief network feature extraction and Hybrid Long Short-Term Memory(LSTM)model have been proposed with NSL-KDD *** Hybrid LSTM method,the Particle Swarm Optimization(PSO)technique,which is combined to optimize the weights of the LSTM neural network,reduces the prediction *** deep belief network method is used to extract the features of IP packets,and it identifies DDoS attacks based on PSO-LSTM ***,it accurately predicts normal network traffic and detects anomalies resulting from DDoS *** proposed PSO-LSTM architecture outperforms the classification techniques including standard Support Vector Machine(SVM)and LSTM in terms of attack detection performance along with the results of the measurement of accuracy,recall,f-measure,precision.

关键词： Cloud computing distributed denial of service particle swarm optimization long short-term memory attack detection

A Study on the Nonlinear Caputo-Type Snakebite Envenoming Model with Memory

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Computer Modeling in Engineering & Sciences 2023年第9期136卷 2487-2506页

作者： Pushpendra Kumar Vedat Suat Erturk V.govindaraj.Dumitru Baleanu Department of Mathematics National Institute of Technology PuducherryKaraikal609609India Department of Mathematics Faculty of Arts and SciencesOndokuz Mayis UniversityAtakumSamsun55200Turkey Department of Mathematics Cankaya UniversityAnkara06530Turkey Institute of Space Sciences MagureleBucharestR76900Romania Department of Computer Science and Mathematics Lebanese American UniversityBeirut11022801Lebanon

In this article,we introduce a nonlinear Caputo-type snakebite envenoming model with *** well-known Caputo fractional derivative is used to generalize the previously presented integer-order model into a fractionalorder *** numerical solution of the model is derived from a novel implementation of a finite-difference predictor-corrector(L1-PC)scheme with error estimation and stability *** proof of the existence and positivity of the solution is given by using the fixed point *** the necessary simulations,we justify that the first-time implementation of the proposedmethod on an epidemicmodel shows that the scheme is fully suitable and time-efficient for solving epidemic *** work aims to show the novel application of the given scheme as well as to check how the proposed snakebite envenoming model behaves in the presence of the Caputo fractional derivative,including memory effects.

关键词： Mathematical model Caputo fractional derivative L1-predictor-corrector method error estimation stability graphical simulations

A stochastic SIR model for analysis of testosterone suppression of CRH-stimulated cortisol in men

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International Journal of Modeling, Simulation, and Scientific Computing 2022年第3期13卷 223-229页

作者： A.Manickam Pushpendra Kumar K.Dasunaidu V.govindaraj.Dheeraj Kumar Joshi School of Advanced Sciences 8 Languages Department of Mathematics VIT Bhopal University Kottri Kalan(Village)466114 Sehore(District) Madhya PradeshIndia Department of Mathematics National Institute of Technology Puducherry Karaikal 609609 India Department of Basic Sciences 8 Humanities GMR Institute of Technology Rajam 532127 Srikakulam(Dt)Andhra PradeshIndia DIT University Dehradun 248009 UttarakhandIndiamanickammaths2011@***.kxumarsaraswatpk@*****dasunaidu.k@gmrit.edu.in ttgovindaraj.maths@*** t+maths.dj44010@***

A stochastic SIR influenza vertical transmission model is examined in this paper where vaccination and an incidence rate that is not linear are *** determine whether testosterone regulates lower sintering HPA axis function in males,we used a stochastic SIR epidemic procedure with divergent influences on ACTH and *** suppressive effects on cortisol can be attributed to a peripheral(adrenal)*** that,we came to the conclusion that experimental solutions have been discovered and the requisite statistical findings have been ***,we deduce that the given mathematical model and the results are relevant to medical *** the future,this research can be further extended to simulate more results in the medical field.

关键词： ACTH cortisol CRH estradiol HPA SIR model testosterone

Sex differences in SARS-CoV-2 infections,anti-viral immunity and vaccine responses

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Asian Pacific Journal of Tropical Medicine 2022年第3期15卷 97-105页

作者： Abhishek Mohanty Aanchal Sawhney Shefali Gupta Vishal Rao Periyasamy govindaraj.Sambit Mohanty Vandana Jain Rajiv Gandhi Cancer Institute and Research Centre New DelhiIndia HCG Cancer Hospitals BangaloreIndia All India Institute of Medical Sciences Rae BareliIndia Centre for DNA Finger Printing and Diagnostics HyderabadIndia CORE Diagnostics GurgaonHaryanaIndia

The COVID-19 pandemic has revealed sex-based differences in anti-viral responses,with a higher rate of SARS-CoV-2 infections as well as a higher rate of morbidity and mortality in men than in *** and females also show disparate immune responses to COVID-19 infection,which may be important contributors to lower rates of infection,disease severity and deaths in women than in ***,the authors review sex differences in SARS-CoV-2 infections,anti-viral immunity and vaccine responses,putting forth the importance of sex,the underappreciated variables in vaccine response and disease infectivity.

关键词： SARS-CoV-2 Antiviral immunity Sex based mitochondrial differences Vaccine responses Innate immunity Sex differences COVID-19 pandemic

Health and safety perspectives of graphene in wearables and hybrid materials

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Journal of Materials Science & Technology 2023年第24期155卷 10-32页

作者： Premika govindaraj.Azadeh Mirabedini Xing Jin Dennis Antiohos Nisa Salim Phil Aitchison Jake Parker Franz Konstantin Fuss Nishar Hameed Faculty of Science Engineering and Technology Swinburne University of Technology Hawthorn Melbourne VIC 3122 Australia Aerospace Engineering and Aviation School of Engineering RMIT University Bundoora Melbourne VIC 3083 Australia Institute for Frontier Materials Deakin University Geelong VIC 3216 Australia Imagine Intelligent Materials Sydney NSW 2018 Australia Sparc Technologies Kent Town South Australia 5067 Australia Chair of Biomechanics Faculty of Engineering Science University of Bayreuth Bayreuth D-95440 Germany

The growing demand for smart wearables, coupled with the omnipresence of graphene due to its array of outstanding thermal, electrical, and mechanical properties, have driven the industry-led initiatives to develop lightweight, smart, and robust graphene-based wearable technologies. The substantial research and the increase in technology readiness levels (TRLs) of graphene-based technologies have led to the adoption of graphene in many industries. Graphene-based wearables are one such technology that involves closer interaction of graphene by the end-user. Despite this, understanding the toxicological risks associated with using graphene-based wearables is still in the fundamental stage. Herein, graphene-based wearables and industrial-scale fabrication techniques for the development of graphene-based wearables are reviewed. The main goal of the review is to initially evaluate the likelihood of user exposure to graphene from the wearable device and the potential health effects. The subsequent health risks based on graphene's physicochemical characteristics are also discussed. A framework to elucidate the risk is presented in terms of crucial exposure routes, possible graphene interactions, recent exposure assessments, detection removal techniques from the human body, and risk management protocols. It is hoped that this review may aid towards establishing a reasonable practice concerning the safe integration of graphene materials into wearables and facilitate their commercialization.

关键词： Graphene Wearables Composites Nanomaterials Smart materials Health and safety

Deep Rank-Based Average Pooling Network for Covid-19 Recognition

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Computers, Materials & Continua 2022年第2期70卷 2797-2813页

作者： Shui-Hua Wang Muhammad Attique Khan Vishnuvarthanan govindaraj.Steven L.Fernandes Ziquan Zhu Yu-Dong Zhang School of Mathematics and Actuarial Science University of LeicesterLE17RHUK Department of Computer Science HITEC University TaxilaTaxilaPakistan Department of Biomedical Engineering Kalasalingam Academy of Research and Education626126Tamil NaduIndia Department of Computer Science Design&JournalismCreighton UniversityOmahaNebraskaUSA Science in Civil Engineering University of FloridaGainesvilleFloridaFL 32608USA School of Informatics University of LeicesterUK

(Aim)To make a more accurate and precise COVID-19 diagnosis system,this study proposed a novel deep rank-based average pooling network(DRAPNet)model,i.e.,deep rank-based average pooling network,for COVID-19 recognition.(Methods)521 subjects yield 1164 slice images via the slice level selection *** the 1164 slice images comprise four categories:COVID-19 positive;community-acquired pneumonia;second pulmonary tuberculosis;and healthy *** method firstly introduced an improved multiple-way data ***,an n-conv rankbased average pooling module(NRAPM)was proposed in which rank-based pooling—particularly,rank-based average pooling(RAP)—was employed to avoid ***,a novel DRAPNet was proposed based on NRAPM and inspired by the ***-CAM was used to generate heatmaps and gave our AI model an explainable analysis.(Results)Our DRAPNet achieved a micro-averaged F1 score of 95.49%by 10 runs over the test *** sensitivities of the four classes were 95.44%,96.07%,94.41%,and 96.07%,*** precisions of four classes were 96.45%,95.22%,95.05%,and 95.28%,*** F1 scores of the four classes were 95.94%,95.64%,94.73%,and 95.67%,***,the confusion matrix was given.(Conclusions)The DRAPNet is effective in diagnosing COVID-19 and other chest infectious *** RAP gives better results than four other methods:strided convolution,l2-norm pooling,average pooling,and max pooling.

关键词： COVID-19 rank-based average pooling deep learning deep neural network

Ce-substituted Lithium Ferrite:Preparation and Electrical Relaxation Studies

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Journal of Materials Science & Technology 2014年第4期30卷 335-341页

作者： Viswarupa Mohanty Rajesh Cheruku Lakshmi Vijayan G.govindaraj Department of Physics School of PhysicalChemical and Applied SciencesPondicherry University

Ce-substituted lithium ferrite, Li0.5CexFe2.5-x04 （x = 0, 0.05 and 0.1 ） compositions were synthesized from metal nitrates and citric acid by the solution combustion process by keeping the oxidizer to fuel ratio at unity. The thermal decomposition process was investigated by thermogravimetry-differential thermal analysis, which showed a stable phase formation above 600 ℃. The phase composition and molecular bonding of Li0.5CexFe2.5_x04 were characterized by X-ray powder diffraction analysis and Fourier transform infrared spectroscopy, respectively. An extensive study of electrical relaxation process has been represented with impedance and modulus as a function of frequency at different temperatures. The activation energy obtained from both the formalisms was found to be equal within the error. The dc conductivity and hopping frequency were thermally activated and their activation energies were found to be in the range of 0.69-0.64 eV for x = 0.05. The scaling of modulus and impedance were used to understand the electrical relaxation behaviour of the compositions and they suggest the time temperature superposition principle.

关键词： Lithium ferrite Solution combustion synthesis Inverse spinel Electrical relaxation process and scaling