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Effects of light availability on leaf attributes and seedling growth of four tree species in tropical dry forest

Ecological Processes 2020年第1期9卷 17-32页

作者： sachchidanand Tripathi Rahul Bhadouria Pratap srivastava rajkumari s.devi Ravikant Chaturvedi A.s.Raghubanshi Ecosystems Analysis Laboratory Department of BotanyInstitute of ScienceBanaras Hindu UniversityVaranasi 221005India Department of Botany Deen Dayal Upadhyaya CollegeUniversity of DelhiNew Delhi 110078India Natural Resource Management Laboratory Department of BotanyUniversity of DelhiNew Delhi 110007India shyama Prasad Mukherjee Post-graduate College University of AllahabadAllahabad 211013India Xishuangbanna Tropical Botanical Garden Chinese Academy of SciencesYunnan 666303China Institute of Environment and sustainable Development(IEsD) Banaras Hindu UniversityVaranasi 221005India

Background:In tropical dry forests,variation in understory light availability due to season and canopy tree density could be a governing factor in establishment and growth of tree *** with varying life history traits are expected to respond differentially to such *** investigated the response of seedlings of four tree species in a tropical day forest in relation to spatiotemporal variability of *** attempt to explore the role of leaf attributes in explaining intra-and inter-specific variations in relative growth *** study sites,each with three contrasting canopy conditions,were selected along a soil moisture *** of four tree species(viz.,Acacia catechu,Bridelia retusa,Lagerstroemia parviflora,and shorea robusta),varying in life history traits,were monitored for seasonal variations in growth traits across canopy condition and sites for 2 ***:We observed a larger variation in leaf attributes for pioneer *** showed highest mean values for leaf dry matter content,leaf nitrogen concentration,leaf phosphorus concentration,net stomatal conductance,net photosynthetic rate,and relative growth rate in high light *** and *** demonstrated highest mean values for all the leaf attributes(except leaf dry matter content)in low light ***,intermediate values for leaf attributes were observed in *** which preferred moderate light ***:seasonal variations in light availability at the forest floor appear to play an important role in the establishment and growth of tree seedlings in seasonal dry *** attributes can be used to explain intra-and inter-specific variation in response to light *** attributes in combinations can be used to predict relative growth rate of tree species in tropical dry environment,which apart from soil moisture is also determined by light availability due to seasonal changes and canopy tree density.

关键词： Tropical dry forest Tree seedlings Light intensity Leaf attributes Pioneer species shade tolerance

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AutoRhythmAI: A Hybrid Machine and Deep Learning Approach for Automated Diagnosis of Arrhythmias

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Computers, Materials & Continua 2024年第2期78卷 2137-2158页

作者： s.Jayanthi s.Prasanna devi Department of Computer science and Engineering SRM Institute of Science and Technology-Vadapalani CampusChennaiTamil NaduIndia

In healthcare,the persistent challenge of arrhythmias,a leading cause of global mortality,has sparked extensive research into the automation of detection using machine learning(ML)***,traditional ML and AutoML approaches have revealed their limitations,notably regarding feature generalization and automation *** glaring research gap has motivated the development of AutoRhythmAI,an innovative solution that integrates both machine and deep learning to revolutionize the diagnosis of *** approach encompasses two distinct pipelines tailored for binary-class and multi-class arrhythmia detection,effectively bridging the gap between data preprocessing and model *** validate our system,we have rigorously tested AutoRhythmAI using a multimodal dataset,surpassing the accuracy achieved using a single dataset and underscoring the robustness of our *** the first pipeline,we employ signal filtering and ML algorithms for preprocessing,followed by data balancing and split for *** second pipeline is dedicated to feature extraction and classification,utilizing deep learning ***,we introduce the‘RRI-convoluted trans-former model’as a novel addition for binary-class *** ensemble-based approach then amalgamates all models,considering their respective weights,resulting in an optimal model *** our study,the VGGRes Model achieved impressive results in multi-class arrhythmia detection,with an accuracy of 97.39%and firm performance in precision(82.13%),recall(31.91%),and F1-score(82.61%).In the binary-class task,the proposed model achieved an outstanding accuracy of 96.60%.These results highlight the effectiveness of our approach in improving arrhythmia detection,with notably high accuracy and well-balanced performance metrics.

关键词： Automated machine learning neural networks deep learning arrhythmias

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An Efficient Modelling of Oversampling with Optimal Deep Learning Enabled Anomaly Detection in streaming Data

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China Communications 2024年第5期21卷 249-260页

作者： R.Rajakumar s.sathiya devi srinivasa Ramanujan Centre SASTRA Deemed UniversityKumbakonamTamil Nadu 612001India University College of Engineering BIT CampusAnna UniversityTiruchirappalli 620024India

Recently,anomaly detection(AD)in streaming data gained significant attention among research communities due to its applicability in finance,business,healthcare,education,*** recent developments of deep learning(DL)models find helpful in the detection and classification of *** article designs an oversampling with an optimal deep learning-based streaming data classification(Os-ODLsDC)*** aim of the OsODLsDC model is to recognize and classify the presence of anomalies in the streaming *** proposed Os-ODLsDC model initially undergoes preprocessing *** streaming data is unbalanced,support vector machine(sVM)-synthetic Minority Over-sampling Technique(sVM-sMOTE)is applied for oversampling ***,the Os-ODLsDC model employs bidirectional long short-term memory(Bi LsTM)for AD and ***,the root means square propagation(RMsProp)optimizer is applied for optimal hyperparameter tuning of the Bi LsTM *** ensuring the promising performance of the Os-ODLsDC model,a wide-ranging experimental analysis is performed using three benchmark datasets such as CICIDs 2018,KDD-Cup 1999,and NsL-KDD datasets.

关键词： anomaly detection deep learning hyperparameter optimization oversampling sMOTE streaming data

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Gas hydrate saturation from NGHP 02 LWD data in the Mahanadi Basin

Energy Geoscience

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Energy Geoscience 2024年第2期5卷 279-289页

作者： Uma shankar Pradeep Kumar Yadav sneha devi Udham singh Yadav Department of Geophysics Institute of ScienceBHUVaranasi221005India Oil and Natural Gas Corporation Ltd. Gas Hydrate Research&Technology Centre(GHRTC)Panvel410221Navi MumbaiIndia

During the Indian National Gas Hydrate Program(NGHP)Expedition 02,Logging-while-drilling(LWD)logs were acquired at three sites(NGHP-02-11,NGHP-02-12,and NGHP-02-13)across the Mahanadi Basin in area *** applied rock physics theory to available sonic velocity logs to know the distribution of gas hydrate at site NGHP-02-11 and *** physics modeling using sonic velocity at well location shows that gas hydrate is distributed mainly within the depth intervals of 150-265 m and 100 -215 mbsf at site NGHP-02-11 and NGHP-02-13,respectively,with an average saturation of about 4%of the pore space and the maximum concentration of about 40%of the pore space at 250 m depth at site NGHP-02-11,and at site NGHP-02-13 an average saturation of about 2%of the pore space and the maximum concentration of about 20%of the pore space at 246 m depth,as gas hydrate is distributed mainly within 100-246 mbsf at this *** of gas hydrate estimated from the electrical resistivity method using density derived porosity and electrical resistivity logs from Archie's empirical formula shows high saturation compared to that from the sonic ***,estimates of hydrate saturation based on sonic P-wave velocity may differ significantly from that based on resistivity,because gas and hydrate have higher resistivity than conductive pore fluid and sonic P-wave velocity shows strong effect on gas hydrate as a small amount of gas reduces the velocity significantly while increasing velocity due to the presence of *** site NGHP-02-11,gas hydrate saturation is in the range of 15%e30%,in two zones between 150-180 and 245-265 *** NGHP-02-012 shows a gas hydrate saturation of 20%e30%in the zone between 100 and 207 *** NGHP-02-13 shows a gas hydrate saturation up to 30%in the zone between 215 and 246 *** observations from rock physics modeling and Archie’s approximation show the gas hydrate concentrations are relatively low(space)at the sites of the

关键词： Mahanadi Basin Gas hydrate sonic log Effective medium modeling Electrical resistivity log Archie’s analysis Gas hydrate saturation

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An Optimized Transfer Learning Model Based Kidney stone Classification

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Computer systems science & Engineering 2023年第2期44卷 1387-1395页

作者： s.devi Mahalakshmi Department of Computer science and Engineering Mepco Schlenk Engineering CollegeSivakasi626005TamilnaduIndia

The kidney is an important organ of humans to purify the *** healthy function of the kidney is always essential to balance the salt,potassium and pH levels in the ***,the failure of kidneys happens easily to human beings due to their lifestyle,eating habits and diabetes *** pre-diction of kidney stones is compulsory for timely *** processing-based diagnosis approaches provide a greater success rate than other detection *** this work,proposed a kidney stone classiﬁcation method based on optimized Transfer Learning(TL).The Deep Convolutional Neural Network(DCNN)models of DenseNet169,MobileNetv2 and GoogleNet applied for clas-siﬁ*** combined classiﬁcation results are processed by ensemble learning to increase classiﬁcation *** hyperparameters of the DCNN model are adjusted by the metaheuristic algorithm of Gorilla Troops Optimizer(GTO).The proposed TL model outperforms in terms of all the parameters compared to other DCNN models.

关键词： DCNN GTO kidney stone transfer learning

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Metabolic engineering and genome editing strategies for enhanced lipid production in microalgae

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BIOCELL 2024年第8期48卷 1181-1195页

作者： ANJANI devi CHINTAGUNTA sAMUDRALA PRAsHANT JEEVAN KUMAR NUNE sATYA sAMPATH KUMAR Department of Biotechnology Vignan’s Foundation ScienceTechnology and ResearchVadlamudiAndhra Pradesh522213India ICAR-Directorate of Floricultural Research Pune412307India

Depleting global petroleum reserves and skyrocketing prices coupled with succinct supply have been a grave concern,which needs alternative sources to conventional *** microalgae have been explored for enhanced lipid production,leading towards biodiesel *** microalgae have short life cycles,require less labor,and space,and are easy to scale ***,the primary source of lipids needed to produce biodiesel,is accumulated by most *** article focuses on different types of oleaginous microalgae,which can be used as a feedstock to produce *** biosynthesis in microalgae occurs through fatty acid synthesis and TAG synthesis ***-depth discussions are held regarding other efficient methods for enhancing fatty acid and TAG synthesis,regulating TAG biosynthesis bypass methods,blocking competing pathways,multigene approach,and genome *** most potential targets for gene transformation are hypothesized to be a malic enzyme and diacylglycerol acyltransferase while lowering phosphoenolpyruvate carboxylase activity is reported to be advantageous for lipid synthesis.

关键词： Oleaginous microalgae Biodiesel TAG synthesis Metabolic engineering Genome editing

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Video Recommendation system Using Machine-Learning Techniques

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Journal of Harbin Institute of Technology(New series) 2024年第4期31卷 24-33页

作者： Meesala sravani Ch Vidyadhari s Anjali devi Department of Computer science and Engineering GMR Institute of TechnologyRajam 532127Andhra PradeshIndia Department of Information Technology Gokaraju Rangaraju Institute of Engineering and TechnologyKukatpallyHydarabad 500090TelanganaIndia Department of Computer science and Engineering Koneru Lakshmaiah Education FoundationVaddeswaramGuntur 522302Andhra PradeshIndia

In the realm of contemporary artificial intelligence,machine learning enables automation,allowing systems to naturally acquire and enhance their capabilities through *** this cycle,Video recommendation is finished by utilizing machine learning strategies.A suggestion framework is an interaction of data sifting framework,which is utilized to foresee the“rating”or“inclination”given by the different *** expectation depends on past evaluations,history,interest,IMDB rating,and so *** can be carried out by utilizing collective and substance-based separating approaches which utilize the data given by the different clients,examine them,and afterward suggest the video that suits the client at that specific *** required datasets for the video are taken from *** recommender framework is executed by utilizing Python Programming *** building this video recommender framework,two calculations are utilized,for example,K-implies Clustering and KNN grouping.K-implies is one of the unaided AI calculations and the fundamental goal is to bunch comparable sort of information focuses together and discover the *** that K-implies searches for a steady‘k'of bunches in a dataset.A group is an assortment of information focuses collected due to specific similitudes.K-Nearest Neighbor is an administered learning calculation utilized for characterization,with the given information;KNN can group new information by examination of the‘k'number of the closest information *** last qualities acquired are through bunching qualities and root mean squared mistake,by using this algorithm we can recommend videos more appropriately based on user previous records and ratings.

关键词： video recommendation system KNN algorithms collaborative filtering content⁃based filtering classification algorithms artificial intelligence

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A Case Report of Pulmonary Alveolar Proteinosis with Associated Opportunistic Infection of Pneumocystis jirovecii and Molluscum Contagiosum

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Journal of Forensic science and Medicine 2024年第1期10卷 68-71页

作者： sapna Patel Deepika Gurumurthy smitha Rani sheela devi Department of Pathology JSSAHERMysoreKarnatakaIndia2Department of Forensic MedicineJSSAHERMysoreKarnatakaIndia

Pulmonary alveolar proteinosis(PAP)is an idiopathic rare diffuse pulmonary disease,first described in 1958 by Rosen et *** estimated prevalence is about 1 in 3.7-6.9×10^(6) with a male:female ratio of 1:1-2:*** of the patient’s age ranges between 20 and 50 *** on microscopy is characterized by the presence of massive insoluble,amorphous,phospholipid-rich protein deposits in the bronchial and alveolar *** patients with acquired PAP present with cough and exertional *** has been studied that there is increased risk of superinfection in PAP with opportunistic organisms like pneumocystis and vice *** diagnosis of Pneumocystis jirovecii pneumonia rests on the demonstration of the organism within the alveoli by special stains like Grocott Methenamine silver *** contagiosum(MC)is a common superficial skin infection caused by the *** is characterized by painless papules commonly seen in children and immunocompromised ***,we present a 34-year-old female who had complaints of severe difficulty in breathing and was brought dead to our *** external examination,she had multiple warts over chest,abdomen,and over *** examination was *** of kidney,lung,and skin biopsy of genital warts sent for histopathological examination revealed acute tubular necrosis,*** with PAP,and MC respectively.

关键词： Bronchoalveolar lavage molluscum contagiosum Pneumocystis jirovecii pulmonary alveolar proteinosis

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An Integrated Bipolar Picture Fuzzy Decision Driven system to scrutinize Food Waste Treatment Technology through Assorted Factor Analysis

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Computer Modeling in Engineering & sciences 2024年第9期140卷 2665-2687页

作者： Navaneethakrishnan suganthi Keerthana devi samayan Narayanamoorthy Thirumalai Nallasivan Parthasarathy Chakkarapani sumathi Thilagasree Dragan Pamucar Vladimir simic Hasan Dinçer serhat Yüksel Department of Mathematics Bharathiar UniversityCoimbatore641046India Department of Mathematics Sri Ramakrishna Mission Vidyalaya College of Arts and ScienceCoimbatore641020India Department of Operations Research and statistics Faculty of Organizational SciencesUniversity of BelgradeBelgrade11000Serbia College of Engineering Department of Industrial Engineering and ManagementYuan Ze UniversityTaoyuan City320315Taiwan Faculty of Transport and Traffic Engineering University of BelgradeVojvode Stepe 305Belgrade11000Serbia Department of Computer science and Engineering College of InformaticsKorea UniversitySeoul02841Republic of Korea school of Business Istanbul Medipol UniversityIstanbul34083Turkey Department of Economics and Management Khazar UniversityBakuAzerbaijan

Food Waste(FW)is a pressing environmental concern that affects every country *** one-third of the food that is produced ends up as waste,contributing to the carbon ***,the FW must be properly treated to reduce environmental *** study evaluates a few available Food Waste Treatment(FWT)technologies,such as anaerobic digestion,composting,landfill,and incineration,which are widely used.A Bipolar Picture Fuzzy set(BPFs)is proposed to deal with the ambiguity and uncertainty that arise when converting a real-world problem to a mathematical model.A novel Criteria Importance Through Intercriteria Correlation-stable Preference Ordering Towards Ideal solution(CRITIC-sPOTIs)approach is developed to objectively analyze FWT selection based on thirteen criteria covering the industry’s technical,environmental,and entrepreneurial *** CRITIC method is used for the objective analysis of the importance of each criterion in FWT *** sPOTIs method is adopted to rank the alternative hassle-free,following the *** proposed model offers a rank reversal-free model,i.e.,the rank of the alternatives remains unaffected even after the addition or removal of an *** addition,comparative and sensitivity analyses are performed to ensure the reliability and robustness of the proposed model and to validate the proposed result.

关键词： Fuzzy food waste treatment selection bipolar picture fuzzy set and decision-making

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旅意华侨学生的教育融入困境——基于田野调查的分析

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华侨华人历史研究 2024年第2期 60-72页

作者：高如安琪 devi sacchetto 北京外国语大学欧洲语言文化学院、意大利研究中心北京100089 帕多瓦大学FIsPPA博士学院意大利帕多瓦35123

论文结合深度访谈和第三方组织的参与观察,对旅意华侨学生的教育融入问题进行田野调查。研究发现,旅意华侨学生的辍学率较高,教育融入面临困境;意大利移民学生教育融入政策的功能失调是造成华侨学生融入困境的重要原因。意大利教育融入... 详细信息

论文结合深度访谈和第三方组织的参与观察,对旅意华侨学生的教育融入问题进行田野调查。研究发现,旅意华侨学生的辍学率较高,教育融入面临困境;意大利移民学生教育融入政策的功能失调是造成华侨学生融入困境的重要原因。意大利教育融入政策以“包容模式”和“跨文化路径”为指导思想,依赖政府、学校和第三方组织的协作,但实际工作中往往出现资源不足且协作失调的情况。同时,政策所设想的融入路径与很多华侨家庭的实际融入路径相互冲突。意大利作为接受国应制定更加明确详尽的移民融入政策,并将移民学生的教育融入纳入整个移民群体的融入政策体系内统筹规划,避免低融入度的代际传播。

关键词：意大利华侨学生教育融入移民政策

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