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Contrasting Regional Responses of Indian Summer Monsoon Rainfall to Exhausted Spring and Concurrently Emerging Summer El Nino Events

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Advances in Atmospheric Sciences 2023年第4期40卷 697-710页

作者： E.K.KRISHNA KUMAR S.ABHILASH sankar syam P.VIJAYKUMAR K.R.SANTOSH A.V.SREENATH Department of Atmospheric Sciences Cochin University of Science and TechnologyCochin 682022India Advanced Centre for Atmospheric Radar Research Cochin University of Science and TechnologyCochin 682022India Faculty of Science and Natural Resources Universiti Malaysia SabahKota Kinabalu 88400Malaysia

The inverse relationship between the warm phase of the El Nino Southern Oscillation(ENSO)and the Indian Summer Monsoon Rainfall(ISMR)is well ***,some El Nino events that occur in the early months of the year(boreal spring)transform into a neutral phase before the start of summer,whereas others begin in the boreal summer and persist in a positive phase throughout the summer monsoon *** study investigates the distinct influences of an exhausted spring El Nino(springtime)and emerging summer El Nino(summertime)on the regional variability of *** two ENSO categories were formulated based on the time of occurrence of positive SST anomalies over the Nino-3.4 region in the *** ISMR’s dynamical and thermodynamical responses to such events were investigated using standard metrics such as the Walker and Hadley circulations,vertically integrated moisture flux convergence(VIMFC),wind shear,and upper atmospheric *** monsoon circulation features are remarkably different in response to the exhausted spring El Nino and emerging summer El Nino phases,which distinctly dictate regional rainfall *** dynamic and thermodynamic responses reveal that exhausted spring El Nino events favor excess monsoon rainfall over eastern peninsular India and deficit rainfall over the core monsoon regions of central *** contrast,emerging summer El Nino events negatively impact the seasonal rainfall over the country,except for a few regions along the west coast and northeast India.

关键词： exhausted spring El Nino emerging summer El Nino Indian Summer Monsoon Hadley and Walker circulation tropical easterly jet vertical integrated moisture flux convergence

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Stock Market Trading Based on Market Sentiments and Reinforcement Learning

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Computers, Materials & Continua 2022年第1期70卷 935-950页

作者： K.M.Ameen Suhail syam sankar Ashok S.Kumar Tsafack Nestor Naglaa F.Soliman Abeer D.Algarni Walid El-Shafai Fathi E.Abd El-Samie Department of Computer Science&Engineering NSS College of EngineeringPalakkad678008KeralaIndia Department of Electronics and Communication Engineering NSS College of EngineeringPalakkad678008KeralaIndia Unitéde Recherche de Matière Condensée D’Electronique et de Traitement du Signal(URAMACETS)Department of PhysicsUniversity of DschangP.O.Box 67DschangCameroon Department of Information Technology College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh84428Saudi Arabia Department Electronics and Electrical Communications Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt

Stock market is a place,where shares of different companies are *** is a collection of buyers’and sellers’*** this digital era,analysis and prediction in the stock market have gained an essential role in shaping today’s *** market analysis can be either fundamental or *** analysis can be performed either with technical indicators or through machine learning *** this paper,we report a system that uses a Reinforcement Learning(RL)network and market sentiments to make decisions about stock market *** system uses sentiment analysis on daily market news to spot trends in stock *** sentiment analysis module generates a unified score as a measure of the daily news about *** score is then fed into the RL module as one of its *** RL section gives decisions in the form of three actions:buy,sell,or *** objective is to maximize long-term future *** have used stock data of Apple from 2006 to 2016 to interpret how sentiments affect *** stock price of any company rises,when significant positive news become available in the public *** results reveal the influence of market sentiments on forecasting of stock prices.

关键词： Deep learning machine learning daily market news reinforcement learning stock market

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A Study on the Explainability of Thyroid Cancer Prediction:SHAP Values and Association-Rule Based Feature Integration Framework

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Computers, Materials & Continua 2024年第5期79卷 3111-3138页

作者： Sujithra sankar S.Sathyalakshmi Department of Computer Applications Hindustan Institute of Technology and ScienceChennaiTamil NaduIndia Department of Computer Engineering Hindustan Institute of Technology and ScienceChennaiTamil NaduIndia

In the era of advanced machine learning techniques,the development of accurate predictive models for complex medical conditions,such as thyroid cancer,has shown remarkable *** predictivemodels for thyroid cancer enhance early detection,improve resource allocation,and reduce ***,the widespread adoption of these models in clinical practice demands predictive performance along with interpretability and *** paper proposes a novel association-rule based feature-integratedmachine learning model which shows better classification and prediction accuracy than present *** study also focuses on the application of SHapley Additive exPlanations(SHAP)values as a powerful tool for explaining thyroid cancer prediction *** the proposed method,the association-rule based feature integration framework identifies frequently occurring attribute combinations in the *** original dataset is used in trainingmachine learning models,and further used in generating SHAP values *** the next phase,the dataset is integrated with the dominant feature sets identified through association-rule based *** new integrated dataset is used in re-training the machine learning *** new SHAP values generated from these models help in validating the contributions of feature sets in predicting *** conventional machine learning models lack interpretability,which can hinder their integration into clinical decision-making *** this study,the SHAP values are introduced along with association-rule based feature integration as a comprehensive framework for understanding the contributions of feature sets inmodelling the *** study discusses the importance of reliable predictive models for early diagnosis of thyroid cancer,and a validation framework of *** proposed model shows an accuracy of 93.48%.Performance metrics such as precision,recall,F1-score,and the area un

关键词： Explainable AI machine learning clinical decision support systems thyroid cancer association-rule based framework SHAP values classification and prediction

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Reservoir heterogeneity analysis using multi-directional textural attributes from deep learning-based enhanced acoustic impedance inversion:A study from Poseidon,NW shelf Australia

Energy Geoscience

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Energy Geoscience 2024年第2期5卷 202-213页

作者： Anjali Dixit Animesh Mandal Shib sankar Ganguli Department of Earth Sciences Indian Institute of Technology KanpurKanpur208016India Marine and Deep Seismic CSIR-NGRIHyderabad500007India

Reservoir heterogeneities play a crucial role in governing reservoir performance and ***,detailed and inter-well heterogeneity analyses are commonly performed by mapping seismic facies change in the seismic data,which is a time-intensive *** researchers have utilized a robust Grey-level co-occurrence matrix(GLCM)-based texture attributes to map reservoir ***,these attributes take seismic data as input and might not be sensitive to lateral lithology *** incorporate the lithology information,we have developed an innovative impedance-based texture approach using GLCM workflow by integrating 3D acoustic impedance volume(a rock propertybased attribute)obtained from a deep convolution network-based impedance *** proposed workflow is anticipated to be more sensitive toward mapping lateral changes than the conventional amplitude-based texture approach,wherein seismic data is used as *** evaluate the improvement,we applied the proposed workflow to the full-stack 3D seismic data from the Poseidon field,NW-shelf,*** study demonstrates that a better demarcation of reservoir gas sands with improved lateral continuity is achievable with the presented approach compared to the conventional *** addition,we assess the implication of multi-stage faulting on facies distribution for effective reservoir *** study also suggests a well-bounded potential reservoir facies distribution along the parallel fault ***,the proposed approach provides an efficient strategy by integrating the impedance information with texture attributes to improve the inference on reservoir heterogeneity,which can serve as a promising tool for identifying potential reservoir zones for both production benefits and fluid storage.

关键词： Seismic texture attributes Seismic acoustic impedance Multi-directional texture attributes Reservoir heterogeneity Reservoir characterization Poseidon field

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Recent advances in reservoir characterization:Introduction

Energy Geoscience

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Energy Geoscience 2024年第2期5卷 180-182页

作者： Shib sankar Ganguli A.Vasanthi Sumit Verma CSIR-National Geophysical Research Institute(NGRI) HyderabadIndia Endeavor Energy Resources LPUSA

Reservoir characterization refers to the process of creating a comprehensive model that characterizes the reservoir based on its ability to store and produce *** includes analyzing reservoir fluid behavior under various conditions and identifying optimal production techniques to maximize hydrocarbon *** this,a holistic understanding is required that integrates data from geophysics,geostatistics,petrophysics,geology,and reservoir engineering.

关键词： reservoir geology geophysics

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Chemically Radiative MHD Flow of a Micropolar Nanofluid over a Stretching/ Shrinking Sheet with a Heat Source or Sink

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Fluid Dynamics & Materials Processing 2024年第2期20卷 257-274页

作者： Parakapali Roja Shaik Mohammed Ibrahim Thummala sankar Reddy Giulio Lorenzini Department of Mathematics Annamacharya Institute of Technology and SciencesKadapa516126India Department of Engineering Mathematics College of EngineeringKoneru Lakshmaiah Education FoundationVaddeswaram522302India Department of Mathematics Annamacharya Institute of Technology and SciencesKadapa516003India Department of Engineering and Architecture University of ParmaParma43124Italy

This study examines the behavior of a micropolar nanoﬂuidﬂowing over a sheet in the presence of a transverse magneticﬁeld and thermal *** addition,chemical(ﬁrst-order homogeneous)reactions are taken into account.A similarity transformation is used to reduce the system of governing coupled non-linear partial differ-ential equations(PDEs),which account for the transport of mass,momentum,angular momentum,energy and species,to a set of non-linear ordinary differential equations(ODEs).The Runge-Kutta method along with shoot-ing method is used to solve *** impact of several parameters is *** is shown that the micro-rota-tional velocity of theﬂuid rises with the micropolar ***,the radiation parameter can have a remarkable inﬂuence on theﬂow and temperature proﬁles and on the angular momentum distribution.

关键词： Chemical(ﬁrst order homogeneous)reaction magnetohydrodynamics micropolar nanoﬂuid stretching/shrinking sheet heat source

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Emergence of biomass-derived single-atom catalysts for platform chemicals production

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Journal of Bioresources and Bioproducts 2024年第2期9卷 127-129页

作者： Adrian Chun Minh Loy sankar Bhattacharya Department of Chemical and Biological Engineering Monash UniversityClayton 3800VictoriaAustralia

The envisioned exponential growth in the utilization of single-atom catalysts(SACs)has recently emerged as a frontier in the spectrum of material *** is attributed to the distinctive properties of SACs,which encompass 100%atomic efficiency,superior selective performance,tunable coordination environment,and unique electronic structures(Wu et al.,2022b;Loy et al.,2023;Wang et al.,2023).The concept of single-atom isolation was initially introduced by Qiao et al.(2011),with the objective to explore the superior catalytic activity of Pt single-atom compared to Pt nanoparticles/nanoclusters in CO ***,Zhou et al.(2019)in-novatively developed the biomass-derived CO-based SACs and introduced for the oxidative esterification of *** there are many good pieces of news on the SACs,the large-scale fabrication of SACs remains a formidable challenge,impeding their potential to drive scalable production of drop-in *** primary challenge lies in the cost-intensive process of reducing the size of embedded metal particles to sub-angstrom dimensions,a necessary step for creating well-dispersed atomic active ***,this complexity arises from the inherent behavior of individual atoms that are inclined to migrate and cluster into nanoparticles due to their high surface free energy(Chen et al.,2021).

关键词： dimensions frontier attributed

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Spatiotemporal dynamics of land use/land cover(LULC)changes and its impact on land surface temperature:A case study in New Town Kolkata,eastern India

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Regional Sustainability 2024年第2期5卷 26-48页

作者： Bubun MAHATA Siba sankar SAHU Archishman SARDAR Laxmikanta RANA Mukul MAITY Department of Geography Ravenshaw UniversityCuttack753003India Department of Geography Sri Krushna Chandra Gajapati(Autonomous)CollegeParalakhemundi761200India

Rapid urbanization creates complexity,results in dynamic changes in land and environment,and influences the land surface temperature(LST)in fast-developing *** this study,we examined the impact of land use/land cover(LULC)changes on LST and determined the intensity of urban heat island(UHI)in New Town Kolkata(a smart city),eastern India,from 1991 to 2021 at 10-a intervals using various series of Landsat multi-spectral and thermal *** study used the maximum likelihood algorithm for image classification and other methods like the correlation analysis and hotspot analysis(Getis–Ord Gi^(*) method)to examine the impact of LULC changes on urban thermal *** study noticed that the area percentage of built-up land increased rapidly from 21.91%to 45.63%during 1991–2021,with a maximum positive change in built-up land and a maximum negative change in sparse *** mean temperature significantly increased during the study period(1991–2021),from 16.31℃to 22.48℃in winter,29.18℃to 34.61℃in summer,and 19.18℃to 27.11℃in *** result showed that impervious surfaces contribute to higher LST,whereas vegetation helps decrease *** ecological status has been found in built-up land,and excellent ecological status has been found in vegetation and water *** hot spot and cold spot areas shifted their locations every decade due to random LULC *** after New Town Kolkata became a smart city,high LST has been ***,this study indicated that urbanization and changes in LULC patterns can influence the urban thermal environment,and appropriate planning is needed to reduce *** study can help policy-makers create sustainable smart cities.

关键词： Urbanization Land use/land cover (LULC)changes Land surface temperature Urban heat island Hotspot analysis Smart city

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Strong Vitality

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Beijing Review 2024年第15期67卷 24-25页

作者： Rabi sankar Bosu China Focus website

Therhetoric of"China'scollapse"rises every once in a while in the West,when politicians and media outlets try to discredit China on multiple *** distorted picture painted in their"cognitive war"against China only serv... 详细信息

关键词： China. outlet Strong

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Palaeodepositional environment,implications of Glossopteris flora,and organic matter characteristics from the Lower Permian,Karo Open Cast Mine,East Bokaro Coalfield,Damodar Basin,India

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Journal of Palaeogeography 2024年第3期13卷 528-546页

作者： sankar Suresh Kumar Pillai Rose Ann Sebastian Runcie Paul Mathews Srikanta Murthy Anju Saxena Mrutyunjaya Sahoo Suraj Kumar Sahu Gulshan Kumar Dhingra Birbal Sahni Institute of Palaeosciences 53 University RoadLucknow-226007UPIndia Academy of Scientific and Innovative Research(AcSIR) Ghaziabad-201002India Department of Geology School of Earth Science SystemsCentral University of KeralaKasaragod-671316KeralaIndia Department of Geology Ravenshaw UniversityCuttack-753003OdishaIndia Department of Botany Sri Dev Suman Uttarakhand UniversityUttarakhand-249145India

The present study deals with the Early Permian floral diversity,palaeoenvironment,palaeoclimate and depositional setting using a multiproxy approach that includes morphotaxonomy,palynology,and organic geochemistry of Karo OCM(Open Cast Mine),East Bokaro Coalfield,Damodar Gondwana Basin,*** Permian sediments of Peninsular India are widely regarded as fluvial,along with some marine *** macroplant fossil assemblage exhibits the presence of Glossopteridales,comprising Glossopteris,Gangamopteris,and Vertebraria,as well as Coniferales,which includes *** palynological assemblage encompasses the dominance of the striate bisaccate pollen Faunipollenites *** the subdominance of the non-striate bisaccate pollen Scheuringipollenites *** glossopterid *** megafloral and palynofloral assemblage confirms the biostratigraphical age to be Late Barakar palynoflora of Kungurian *** studied morphological characteristics,including small to large Glossopteris leaves exhibiting a lanceolate shape,acute apices,and acute cuneate or tapering bases,as well as entire margins with narrower lamina and narrow meshes,suggest the existence of a dense forest with the prevalence of a warm and humid climate during their *** organic geochemical characterization based on functional group and biomarker analyses reveals the diagenetic effects on organic *** symmetric(~2865-2855 cm^(-1))and asymmetric stretching(~2930-2910 cm^(-1))peaks are identifiable in coal samples,whereas they are absent in carbonaceous *** A-factor vs.C-factor plot suggests that the kerogen type is type Ⅲ,which can generate mainly gaseous *** vitrinite reflectance studies(R_(r) av.1.1%)show increased maturity of the samples,which is supported by the n-alkane distribution pattern and the absence of hopane *** Indian floral assemblages in contemporary of southern Gondwana continents reveal a stronger inclination/affinity with th

关键词： Glossopteris Palynomorph FTIR GCMS Gondwana Permian Palaeoclimate

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