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Spatial and temporal patterns of sarcoptic mange in wombats using the citizen science tool,WomSAT

Integrative Zoology 2024年第3期19卷 387-399页

作者： sujatha mayadunnage Hayley Jade STANNARD Peter WEST Julie M.OLD School of Science Western Sydney UniversityHawkesburyNSWAustralia School of Agricultural Environmental and Veterinary SciencesCharles Sturt UniversityWagga WaggaNSWAustralia Department of Primary Industries Orange Agricultural InstituteOrangeNSWAustralia

There is currently limited information regarding the levels of infection and distribution of sarcoptic mange in the wombat population throughout *** analyzed cases of sarcoptic mange in bare-nosed wombats reported into WomSAT,a website and mobile phone application where citizen scientists can upload sightings of wombats,burrows,and sarcoptic mange *** used Maxent software to predict locations and the environmental factors associated with sarcoptic mange occurrence in bare-nosed wombats.A total of 1379 sarcoptic mange-infected and 3043 non-sarcoptic mange-infected wombats were reported by 674 and 841 citizen scientists,*** all the wombats reported to WomSAT from 2015 to 2019,31.2%were infected with sarcoptic *** mange in bare-nosed wombats was reported in 502 suburbs across four *** South Wales had the highest number of sarcoptic mange cases reported to *** was no statistically significant seasonal variation of sarcoptic mange levels in bare-nosed *** model showed that Euclidean distance to urban areas was the highest contributing factor for sarcoptic mange *** distance to urban areas decreased,the suitability for sarcoptic mange *** precipitation was the next contributing factor in the model,with higher rainfall of 400–700 mm correlating to an increase in sarcoptic mange *** the data collected to date have provided the largest-scale contemporary distribution of sarcoptic mange in wombats,data should continue to be collected by citizen scientists as it is an easy and low-cost method of collecting data over large *** suggest targeting the identified hotspot areas and more site-specific studies for studying and mitigating sarcoptic mange in bare-nosed wombats.

关键词： bare-nosed wombats habitat suitability Maxent modeling

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A spatial model for the assessment of debris flow susceptibility along the Kodaikkanal-Palani traffic corridor

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Frontiers of Earth Science 2020年第2期14卷 326-343页

作者： Evangelin Ramani sujatha Centre for Advanced Research on Environment School of Civil EngineeringSASTRA Deemed UniversityThanjavur 613401India

Debris flow is one of the most destructive water related mass movements that affects the development of mountain terrains.A reliable assessment of debris flow susceptibility requires adequate data,but in most developing countries like India,there is a dearth of such extensive scientific *** study presents a novel approach for assessing debris flow using the analytical network process(ANP)in data insufficient regions.A stretch of hill road between Kumburvayal and Vadakaunchi along the Kodaikkanal-Palani Traffic Corridor(M171)was considered for this *** significant factors including the nature of slope forming materials,hydraulic conductivity,slope,vegetation,and drainage density were identified from intense field surveys and inspections in order to assess the susceptibility of the terrain to debris *** model endorsed the interdependencies between the selected *** resulting debris flow susceptibility map delineated regions highly prone to debris flow occurrences,which constituted nearly 23%of the selected road stretch.

关键词： analytical network process(ANP) debris flow hydraulic conductivity GIS Kodaikkanal infinite slope stability model steady state hydrologic model

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Epidemiology of influenza viruses from 2009-2013-A sentinel surveillance report from Union territory of Puducherry, India

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Asian Pacific Journal of Tropical Medicine 2015年第9期8卷 706-711页

作者： Ganesh Nandhini Sistla sujatha Department of Microbiology Jawaharlal Institute of Postgraduate Medical Education and Research

Objective: To report the i ndings of inl uenza surveillance programme from Union territory of Puducherry and to document the clinical and epidemiological data of inl uenza viruses over a i ve year period from 2009-2013. Methods: Respiratory samples were collected from patients with influenza-like illness from 2009-2013 as part of routine diagnostic and surveillance activity. Detection of pandemic inl uenza A(H1N1) 2009, inl uenza A(H3N2) and inl uenza B was done using Real-time PCR. Results: Of the total 2 247 samples collected from patients with inl uenza-like illness during the study period 287(12.7%) and 92(4.0%) were positive for inl uenza A(H1N1) 2009 and inl uenza A(H3N2) respectively. A subset of 557 of these samples were also tested for inl uenza B and 24(4.3%) were positive. Signii cantly higher positivity rate for both viruses was observed in adults when compared with children. The peak positivity of influenza A(H1N1) 2009 was observed in 2009 followed by 2012, while that of inl uenza A(H3N2) was more uniformly distributed with the exception of 2012. Overall mortality rate due to influenza A(H1N1) 2009 was 7.6% while it was 1% for influenza A(H3N2). Each year influenza-like illness and influenza virus activity coincided with period of high rainfall and low temperature except in the first half of 2012. Conclusions: As the sole referral laboratory in this region, the data provides a comprehensive picture of inl uenza activity. This information will be useful in future planning of the vaccine schedule and inl uenza pandemic preparedness.

关键词： Influenza Pandemic Post-pandemic Influenza-like illness India

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Grid Search for Predicting Coronary Heart Disease by Tuning Hyper-Parameters

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Computer Systems Science & Engineering 2022年第11期43卷 737-749页

作者： S.Prabu B.Thiyaneswaran M.sujatha C.Nalini sujatha Rajkumar Department of ECE Mahendra Institute of TechnologyNamakkalTamilnadu637503India Department of ECE Sona College of TechnologySalemTamilnadu636005India Department of ECE Koneru Lakshmaiah Education FoundationVijayawadaAndhra Pradesh522502India Department of Information Technology Kongu Engineering CollegePerunduraiTamilnadu638060India Department of Embedded Technology Vellore Institute of TechnologyVelloreTamilnadu632014India

Diagnosing the cardiovascular disease is one of the biggest medical difficulties in recent *** cardiovascular(CHD)is a kind of heart and blood vascular *** this sort of cardiac illness leads to more precise decisions for cardiac *** Grid Search Optimization(GSO)machine training models is therefore a useful way to forecast the sickness as soon as *** state-of-the-art work is the tuning of the hyperparameter together with the selection of the feature by utilizing the model search to minimize the false-negative *** models with a cross-validation approach do the required *** Selection based on the use of statistical and correlation matrices for multivariate *** Random Search and Grid Search models,extensive comparison findings are produced utilizing retrieval,F1 score,and precision *** models are evaluated using the metrics and kappa statistics that illustrate the three models’*** study effort focuses on optimizing function selection,tweaking hyperparameters to improve model accuracy and the prediction of heart disease by examining Framingham datasets using random forestry *** the hyperparameter in the model of grid search thus decreases the erroneous rate achieves global optimization.

关键词： Grid search coronary heart disease(CHD) machine learning feature selection hyperparameter tuning

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Classification of Conversational Sentences Using an Ensemble Pre-Trained Language Model with the Fine-Tuned Parameter

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Computers, Materials & Continua 2024年第2期78卷 1669-1686页

作者： R.sujatha K.Nimala Department of Networking and Communications SRM Institute of Science and TechnologyKattankulathurChengalpattuTamilnadu603203India

Sentence classification is the process of categorizing a sentence based on the context of the *** categorization requires more semantic highlights than other tasks,such as dependence parsing,which requires more syntactic *** existing strategies focus on the general semantics of a conversation without involving the context of the sentence,recognizing the progress and comparing *** ensemble pre-trained language model was taken up here to classify the conversation sentences from the conversation *** conversational sentences are classified into four categories:information,question,directive,and *** classification label sequences are for analyzing the conversation progress and predicting the pecking order of the *** of Bidirectional Encoder for Representation of Transformer(BERT),Robustly Optimized BERT pretraining Approach(RoBERTa),Generative Pre-Trained Transformer(GPT),DistilBERT and Generalized Autoregressive Pretraining for Language Understanding(XLNet)models are trained on conversation corpus with *** tuning approach is carried out for better performance on sentence *** Ensemble of Pre-trained Language Models with a Hyperparameter Tuning(EPLM-HT)system is trained on an annotated conversation *** proposed approach outperformed compared to the base BERT,GPT,DistilBERT and XLNet transformer *** proposed ensemble model with the fine-tuned parameters achieved an F1_score of 0.88.

关键词： Bidirectional encoder for representation of transformer conversation ensemble model fine-tuning generalized autoregressive pretraining for language understanding generative pre-trained transformer hyperparameter tuning natural language processing robustly optimized BERT pretraining approach sentence classification transformer models

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Watershed Prioritization of Palar Sub-watershed Based on the Morphometric and Land Use Analysis

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Journal of Mountain Science 2014年第4期11卷 906-916页

作者： Evangelin Ramani sujatha Radhakrishnan SELVAKUMAR Balasubramaniam RAJASIMMAN School of Civil Engineering SASTRA University Thanjavur 613 401Tamilnadu India Centre for Remote Sensing Bharathidasan UniversityTiruchirapalli 620003 India

Morphometric analysis is an indispensable tool for hydrological investigation that involves the development and management of drainage basin. This study characterizes the micro watersheds in the Palar sub-watershed using morphometric analysis and assesses its risk by land use and land cover features in a particular micro watershed. Palar sub-watershed is divided into 6 micro watersheds for prioritization based on morphometric and land use analysis. Several morphometric parameters （linear, shape and relief） are determined from the drainage map; ranks are assigned based on their capacity to induce erodability and degradation. Final ranking is based on the composite index calculated from the sum of the ranks of each morphometric parameter. Morphometric analysis reveals micro watersheds 5 and 6 as most susceptible and 2 and 3 as low susceptible. Land use is mapped using IRS ID LISS III satellite data. The risk in terms of watershed degradation involved to each micro watershed is based on the ranks of each land use feature, obtained from a similar composite index as that of morphometric analysis. Land use analysis shows that micro watersheds 2 and 4 fall under high priority category while 5 and 6 under low priority category. Integration of the morphometric and land use analysis shows that only microwatershed 1 falls under the same category in both analyses. Control measures are suggested to contain degradation depending on its specific land use pattern and morphometric features. This study ean be used to prepare a comprehensive watershed plan for the development or for planning resource conservation strategies, by integrating land use features with the drainage characteristics of the region, in particular for a hill ecosystem as the prioritization is at micro level.

关键词： Morphometric analysis Watersheddeterioration risk Land use Palar sub-watershed Kodaikkkanal

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Improving Recommendation for Effective Personalization in Context-Aware Data Using Novel Neural Network

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Computer Systems Science & Engineering 2023年第8期46卷 1775-1787页

作者： R.sujatha T.Abirami Department of Information Technology M.Kumarasamy College of EngineeringKarurTamilnaduIndia Department of Information Technology Kongu Engineering CollegePerunduraiTamilnaduIndia

The digital technologies that run based on users’content provide a platform for users to help air their opinions on various aspects of a particular subject or *** recommendation agents play a crucial role in personalizing the needs of individual ***,it is essential to improve the user *** recommender system focuses on recommending a set of items to a user to help the decision-making process and is prevalent across e-commerce and media *** Context-Aware Recommender Systems(CARS),several influential and contextual variables are identified to provide an effective recommendation.A substantial trade-off is applied in context to achieve the proper accuracy and coverage required for a collaborative *** CARS will generate more recommendations utilizing adapting them to a certain contextual situation of ***,the key issue is how contextual information is used to create good and intelligent recommender *** paper proposes an Artificial Neural Network(ANN)to achieve contextual recommendations based on usergenerated *** ability of ANNs to learn events and make decisions based on similar events makes it effective for personalized recommendations in ***,the most appropriate contexts in which a user should choose an item or service are *** work converts every label set into a Multi-Label Classification(MLC)problem to enhance *** results show that the proposed ANN performs better in the Binary Relevance(BR)Instance-Based Classifier,the BR Decision Tree,and the Multi-label SVM for Trip Advisor and LDOS-CoMoDa ***,the accuracy of the proposed ANN achieves better results by 1.1%to 6.1%compared to other existing methods.

关键词： Recommendation agents context-aware recommender systems collaborative recommendation personalization systems optimized neural network-based contextual recommendation algorithm

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Deep restricted and additive homomorphic ElGamal privacy preservations over big healthcare data

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International Journal of Intelligent Computing and Cybernetics 2022年第1期15卷 1-16页

作者： K.sujatha V.Udayarani School of Computing and IT REVA UniversityBangaloreIndia

Purpose-The purpose of this paper is to improve the privacy in healthcare datasets that hold sensitive *** a stop to privacy divulgence and bestowing relevant information to legitimate users are at the same time said to be of differing ***,the swift evolution of big data has put forward considerable ease to all chores of *** far as the big data era is concerned,propagation and information sharing are said to be the two main *** several research works performed on these aspects,with the incremental nature of data,the likelihood of privacy leakage is also substantially expanded through various benefits availed of big ***,safeguarding data privacy in a complicated environment has become a major ***/methodology/approach-In this study,a method called deep restricted additive homomorphic ElGamal privacy preservation(DR-AHEPP)to preserve the privacy of data even in case of incremental data is *** entropy-based differential privacy quasi identification and DR-AHEPP algorithms are designed,respectively,for obtaining privacy-preserved minimum falsified quasi-identifier set and computationally efficient privacy-preserved ***-Analysis results using Diabetes 130-US hospitals illustrate that the proposed DR-AHEPP method is more significant in preserving privacy on incremental data than existing *** analysis of state-of-the-art works with the objective to minimize information loss,false positive rate and execution time with higher accuracy is ***/value-The paper provides better performance using Diabetes 130-US hospitals for achieving high accuracy,low information loss and false positive *** result illustrates that the proposed method increases the accuracy by 4%and reduces the false positive rate and information loss by 25 and 35%,respectively,as compared to state-of-the-art works.

关键词： Big data Entropy-based differential privacy Quasi-identifier Deep restricted Additive homomorphic ElGamal Privacy preservation

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Validation of Foreground Emission Model using GALEX Medium Observations

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Research in Astronomy and Astrophysics 2023年第6期23卷 228-237页

作者： Nimmi Narayanan Shivashankar S.Menon N.V.sujatha Department of Physics St.Xavier's College for WomenAluva 683101India Department of Physics Sree Sankara CollegeKaladyErnakulam 683574India CSIS BITS Pilani K.K.Birla Goa CampusZuarinagarGoa 403726India

The study of diffuse ultraviolet(UV)background radiation is vital in the investigation of stellar and galactic ***-based UV observations are comprised of both foreground and background *** foreground emission in an observation is a result of solar contamination in the direction of *** our previous work,we modeled airglow(one of the major constituents of the foreground emission)as a function of10.7 cm Solar Flux and Sun Angle with great accuracy using GALEX deep *** adopt a similar methodology to validate the obtained model and run equivalent experiments here using far-UV(FUV)and nearUV(NUV)GALEX medium imaging surveys(MIS)with a total exposure time greater than 3300 *** obtained a predictive model having excellent compatibility with the earlier *** analysis shows that the total foreground emission varies between 59 and 295 photon units in FUV whereas in NUV,it varies between 671 and1195 photon units depending upon the date and time of *** also noticed a strong correlation between the background emission and optical depth both in FUV and NUV,especially in the low density *** clearly indicates that the major contributor in diffuse background radiation is the starlight scattered by interstellar dust grains.

关键词： instrumentation:detectors Sun:activity ultraviolet:ISM atmospheric effects

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Geotechnical investigation of low-plasticity organic soil treated with nano-calcium carbonate

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Journal of Rock Mechanics and Geotechnical Engineering 2023年第2期15卷 500-509页

作者： Govindarajan Kannan Brendan C.O’Kelly Evangelin Ramani sujatha Centre for Advanced Research in Environment School of Civil EngineeringSASTRA Deemed to be UniversityThanjavurTamil Nadu613401India Department of Civil Structural and Environmental EngineeringTrinity College DublinDublinD02 PN40Ireland

Soil stabilization using nanomaterials is an emerging research area although,to date,its investigation has mostly been laboratory-based and therefore requires extensive study for transfer to practical field *** present study advocates nano-calcium carbonate(NCC)material,a relatively unexplored nanomaterial additive,for stabilization of low-plasticity fine-grained soil having moderate organic *** plasticity index,compaction,unconfined compressive strength(UCS),compressibility and permeability characteristics of the 0.2%,0.4%,0.6%and 0.8%NCC-treated soil,and untreated soil(as control),were determined,including investigations of the effect of up to 90-d curing on the UCS and permeability *** terms of UCS improvement,0.4%NCC addition was identified as the optimum dosage,mobilizing a UCS at 90-d curing of almost twice that for the untreated *** treated soil,particle aggregation arising from NCC addition initially produced an increase in the permeability coef-ficient,but its magnitude decreased for increased curing owing to calcium silicate hydrate(CSH)gel formation,although still remaining higher compared to the untreated soil for all dosages and curing periods *** index decreased for all NCC-treated soil *** micro-graphs indicated the presence of gel patches along with particle aggregation.X-ray diffraction(XRD)results showed the presence of hydration products,such as *** increases in UCS are initially attributed to void filling and then because of CSH gel formation with increased curing.

关键词： Organic silt Calcium carbonate Nano-calcium carbonate(NCC) Calcium silicate hydrate(CSH) Soil stabilization

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