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A PLS-SEM based Approach: Analyzing Generation Z Purchase Intention Through Facebook’s big Data

big Data Mining and Analytics 2023年第4期6卷 491-503页

作者： Vikas Kumar Preeti Shaiku Shahida Saheb.sunil Kumari Kanishka Pathak Jai Kishan Chandel Neeraj Varshney Ankit Kumar Humanities and Management Department Dr.B.R.Ambedkar National Institute of Technology JalandharJalandhar 144027India Department of Commerce and business Administration Kanya Maha Vidyalaya(KMV)Jalandhar 144004India Mittal School of business Lovely Professional UniversityPhagwara 144402India Government College for Women Indra Gandhi UniversityAteli 123021India Institute of Management Studies Kurukshetra UniversityKurukshetra 136119India Kumar are with the Department of Computer Engineering and Applications GLA UniversityMathura 281406India

The objective of this paper is to provide a better rendition of Generation Z purchase intentions of retail products through *** study gyrated around the favorable attitude formation of Generation Z translating into intentions to purchase retail products through *** role of antecedents of attitude,namely enjoyment,credibility,and peer communication was also *** main purpose was to analyze the F-commerce pervasiveness(retail purchases through Facebook)among Generation Z in India and how could it be materialized effectively.A conceptual fac¸ade was proposed after trotting out germane and urbane *** study focused exclusively on Generation Z *** data were statistically analyzed using partial least squares structural equation *** study found the proposed conceptual model had a high prediction power of Generation Z intentions to purchase retail products through Facebook verifying the materialization of ***,credibility,and peer communication were proved to be good predictors of attitude(R^(2)=0.589)and furthermore attitude was found to be a stellar antecedent to purchase intentions(R^(2)=0.540).

关键词： Facebook enjoyment credibility peer communication attitude intentions to purchase

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AI-based Hybrid Models for Predicting Loan Risk in the banking Sector

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big Data Mining and Analytics 2023年第4期6卷 478-490页

作者： Vikas Kumar Shaiku Shahida Saheb Preeti Atif Ghayas sunil Kumari Jai Kishan Chandel Saroj Kumar Pandey Santosh Kumar Humanities and Management Department Dr.B.R.Ambedkar National Institute of Technology JalandharJalandhar 144027India. Mittal School of business Lovely Professional UniversityPhagwara 144402India. Department of Commerce&business Administration Kanya Maha Vidyalaya(KMV)Jalandhar 144004India School of Management Gitam(to be deemed university)Bangalore 561203India Government College for Women Indra Gandhi UniversityAteli 123021India. Institute of Management Studies Kurukshetra UniversityKurukshetra 136119India Department of Computer Engineering and Applications GLA UniversityMathura 281406India Department of Management Jaipuriya Institute of ManagementJaipur 302033India

Every real-world scenario is now digitally replicated in order to reduce paperwork and human labor *** Learning(ML)models are also being used to make predictions in these *** forecasting requires knowledge of these machine learning models and their distinguishing *** datasets we use as input for each of these different types of ML models,yielding different *** choice of an ML model for a dataset is critical.A loan risk model is used to show how ML models for a dataset can be linked *** purpose of this study is to look into how we could use machine learning to quantify or forecast mortgage credit *** phrase refers to the process of evaluating massive amounts of data in order to derive useful information for making decisions in a variety of *** credit risk is considered,a method based on an examination of what caused and how mortgage credit risk affected credit defaults during the still-current economic crisis of 2021 will be *** approaches to credit risk calculation will be examined,ranging from the most basic to the most *** addition,we will conduct a case study on a sample of mortgage loans and compare the results of three different analytical approaches,logistic regression,decision tree,and gradient boost to see which one produced the most commercially useful insights.

关键词： Artificial Intelligence(AI) Machine Learning(ML) loan prediction Support Vector Machine(SVM) Random Forest(RF) accuracy

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Computer-aided diabetic retinopathy diagnostic model using optimal thresholding merged with neural network

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International Journal of Intelligent Computing and Cybernetics 2020年第3期13卷 283-310页

作者： Ambaji S.Jadhav Pushpa b.Patil sunil biradar Department of Electrical and Electronics B.L.D.E.A’s V.P.Dr.P.G.Halakatti College of Engineering and Technology(Affiliated to Visvesvaraya Technological University)VijayapurIndia Department of Ophthalmology Shri B.M.Patil Medical College and Research Center(Deemed to be University)VijayapurIndia

Purpose-Diabetic retinopathy(DR)is a central root of blindness all over the *** DR is tough to diagnose in starting stages,and the detection procedure might be time-consuming even for qualified ***,intelligent disease detection techniques are extremely acceptable for progress analysis and recognition of various ***,a computer-aided diagnosis scheme based on intelligent learning approaches is intended to propose for diagnosing DR effectively using a benchmark ***/methodology/approach-The proposed DR diagnostic procedure involves four main steps:(1)image pre-processing,(2)blood vessel segmentation,(3)feature extraction,and(4)***,the retinal fundus image is taken for pre-processing with the help of Contrast Limited Adaptive Histogram Equalization(CLAHE)and average *** the next step,the blood vessel segmentation is carried out using a segmentation process with optimized gray-level *** the blood vessels are extracted,feature extraction is done,using Local binary Pattern(LbP),Texture Energy Measurement(TEM based on Laws of Texture Energy),and two entropy computations-Shanon’s entropy,and Kapur’s *** collected features are subjected to a classifier called Neural Network(NN)with an optimized training *** the gray-level thresholding and NN is enhanced by the Modified Levy Updated-Dragonfly Algorithm(MLU-DA),which operates to maximize the segmentation accuracy and to reduce the error difference between the predicted and actual outcomes of the ***,this classification error can correctly prove the efficiency of the proposed DR detection ***-The overall accuracy of the proposed MLU-DA was 16.6%superior to conventional classifiers,and the precision of the developed MLU-DA was 22%better than LM-NN,16.6%better than PSO-NN,GWO-NN,and ***,it is concluded that the implemented MLU-DA outperformed state-of-the-art algorithms in detecting ***

关键词： Diabetic retinopathy detection Gray-level thresholding Optimal trained neural network Dragon fly algorithm Levy update Performance metrics

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Design of a novel hybrid intercarrier interference mitigation technique through wavelet implication in an OFDM system

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Digital Communications and Networks 2018年第4期4卷 258-263页

作者： Sandeep Sarowa Harmanjeet Singh sunil Agrawal b.S.Sohi Department of Electronics and Communication Engineering UIETPanjab Universay ChandigarhIndia Chondkorh UmVersi^Charuan PunjabIndia

Orthogonal Frequency Division Mtfltiplexing (OFDM)is the most preferred and widely used multiplexing tech- nique in current wireless environment for sidelining the spectrum scarcity problem by splitting a signal into N signals and subsequently modulating them through several orthogonal subcarriers (which bears high frequency). With several great features,OFDM is severely affected by undesirable affects of frequency offset errors and Local Oscillator (LO)frequency synchronization *** paper proposes an approach that devises a new hybrid technique,which is a combination of Maximum Likelihood Estimation (MLE)and Self Cancellation (SC)techniques through wavelet implication,to enhance bER performance of the OFDM system.A comparative analysis of SC,MILE,and wavelet-based hybrid InterCarrier Interference (ICI)cancellation techniques was conducted using 64-QAM and differential offset (0.02 and 0.01)for differential data bits (4 Mb and 16 Mb)to justify the outstanding *** simulation results showed a significant byte-error-rate improvement over different legacy techniques based on fast Fourier transform.

关键词： OFDM WOFDM DWT FFT ISI ICI MLE SC

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Spatially resolved transcriptomics: a comprehensive review of their technological advances, applications, and challenges

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Journal of Genetics and Genomics 2023年第9期50卷 625-640页

作者： Mengnan Cheng Yujia Jiang Jiangshan Xu Alexios-Fotios AMentis Shuai Wang Huiwen Zheng sunil Kumar Sahu Longqi Liu Xun Xu bGI-Hangzhou HangzhouZhejiang 310012China bGI-Shenzhen ShenzhenGuangdong 518103China College of Life Sciences University of Chinese Academy of SciencesBeijing 100049China State Key Laboratory of Agricultural Genomics BGI-ShenzhenShenzhenGuangdong 518083China Guangdong Provincial Key Laboratory of Genome Read and Write ShenzhenGuangdong 518120China

The ability to explore life kingdoms is largely driven by innovations and breakthroughs in technology,from the invention of the microscope 350 years ago to the recent emergence of single-cell sequencing,by which the scientific community has been able to visualize life at an unprecedented *** recently,the Spatially Resolved Transcriptomics(SRT)technologies have filled the gap in probing the spatial or even three-dimensional organization of the molecular foundation behind the molecular mysteries of life,including the origin of different cellular populations developed from totipotent cells and human *** this review,we introduce recent progresses and challenges on SRT from the perspectives of technologies and bioinformatic tools,as well as the representative SRT *** the currently fast-moving progress of the SRT technologies and promising results from early adopted research projects,we can foresee the bright future of such new tools in understanding life at the most profound analytical level.

关键词： Spatially resolved transcriptomics bioinformatic tools Spatial single-cell Cell communications Tissue dissection Three-dimensional organ

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Surface radioactive anomalies at Srisailam sub basin,Cuddapah basin,India

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Chinese Journal Of Geochemistry 2015年第2期34卷 265-271页

作者： Vishnu bhoopathi S.Niranjan Kumar R.S.N.Sastry b.srinivas Department of Applied Geochemistry Osmania University Atomic Mineral Directorate for Exploration and Research

Surface radioactive survey has been carried with portable gamma ray spectrometer(PGRS) about the 45 km2 around the Srisailam sub basin,the surface radioactive anomalies were found at Chennakesavula gutta in the Srisailam sub basin of Cuddapah basin in the age of meso-neo proterozoic,*** integrated geochemical and radiometric surveys were conducted as part of research work in the Srisailam basin,it has resulted the locating of surface radioactive anomalies near the Chennakesavula *** uranium minerals are observed along with the fracture planes in the Archean basement granite in the proximity of unconformity contact of Srisailam *** granite underlies the Srisailam formation and forms the source for possible unconformity related uranium mineralisation in the Srisailam sub-basin evidence by the significant radioactive *** radioactivity recorded by PGRS reflected uraniferous nature of the radioactivity(Average total counts =195 ppm;U = 202 ppm;Th =22ppm;%K = 4.1,n = 15).

关键词：放射性异常表面印度分盆 γ射线谱仪放射性调查 m盆地地球化学

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Survival analysis in nonagenarian patients with non-hip lower limb fractures

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世界骨科杂志:英文版 2023年第8期14卷 621-629页

作者： Sanjay Narayana Murthy Manikandar srinivas Cheruvu Raheel Shakoor Siddiqui Nikhil Sharma Debashis Dass Ashique Ali Department of Trauma and Orthopaedics Royal Stoke University Hospital NHS TrustStoke-On-Trent ST46QGUnited Kingdom Department of General Surgery Birmingham Heartlands HospitalBirmingham B95SSUnited Kingdom

bACKGROUND The United Kingdom has an aging population with nearly 1 in 5 being over the age of 65,and over 0.5 million over the age of *** treatment of acute fractures of the lower limb in the nonagenarian cohort of patients poses a technical challenge to orthopaedic *** To report the fracture incidence,survival outcomes of treating acute non-hip lower limb fractures in nonagenarians in Major Trauma *** Thirty Lower limb long bone fractures in patients of age from 90 to 99 years were identified during 12-mo at a Level 1 trauma centre from a computerized database.A retrospective evaluation performed for fracture incidence,treatment,length of hospital duration and mortality at 30-d,1-year and *** Thirty fractures(28 patients)were identified,twenty-four fractures were treated with surgery(mean age 93 years SD±2.59)and 6 managed conservatively(mean age 94 years SD±2.07).The mean length of the hospital stay was 18.2 d for both *** 30-d,1-year and 2-year mortality risks were 1/23,6/23 and 9/23(4%,26%and 39%)in the surgery group and 0/5,1/5 and 2/5(0%,20%and 40%)in the conservative group,with no evidence for a difference between the two groups at any time *** Nonagenarians in the surgical group had similar length of hospital stay and mortality risks as those treated *** with fewer comorbidities and admitted from their own home were offered surgery.

关键词： Nonagenarian Survival Conservative Non-hip Fragility Orthogeriatrics

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A review on biomedical and dental applications of cerium oxide nanoparticles——Unearthing the potential of this rare earth metal

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Journal of Rare Earths 2023年第11期41卷 1645-1661,I0001页

作者： Lalitha S Jairam Akshatha Chandrashekar T.Niranjana Prabhu sunil babu Kotha M.S.Girish Indira Mysuru Devraj M.Dhanya Shri K.Prashantha Department of Pediatric and Preventive Dentistry Faculty of Dental SciencesM.S.Ramaiah University of Applied SciencesNew BEL RoadMSR NagarBangalore560054India Department of Chemistry Faculty of Mathematical and Physical SciencesM.S.Ramaiah University of Applied SciencesNo.470-PIV PhasePeenya Industrial AreaBangalore560058India Department of Preventive Dentistry Pediatric Dentistry DivisionCollege of DentistryRiyadh Elm UniversityRiyadhKingdom of Saudi Arabia Department of Pediatric and Preventive Dentistry JSS Dental College&HospitalJSS Academy of Higher Education&ResearchMysuruIndia Center for Research and Innovation Adichunchanagiri School of Natural SciencesAdichunchanagiri UniversityBGSITB.G.Nagara571448India

Nanotechnology deals with particles ranging from 1 to 100 nm in size called as *** nano particles exhibit unique properties which find an application in many industries and medical fields.A growing body of evidence points out the newer developing technologies adopted in the field of medicine in terms of target therapies,imaging systems,drug deliveries,*** through the incorporation of *** oxide nanoparticles have gained attention in the last decade due to exceptional properties such as redox activity,biofilm inhibition,antibacterial activity,anti-inflammatory activity,*** method of synthesis of cerium oxide nanoparticles plays a pivotal role in its *** exhibits redox properties and catalytic activity and thus has found its use in biomedical *** are incorporated into dental materials such as restorative cements/sealants,adhesives,and denture systems to improve their *** the various metal oxide nanoparticles,ce rium oxide nanoparticles(CeO_(2)NPs)are known to exhibit lower toxicity to mammalian cells and possess unique antibacterial *** addition,they exhibit potent properties such as antitumor,antiinflammatory,antibacterial activities,and functions as an ***_(2)NPs have excellent scavenging properties for reactive oxygen species,which is why they are being considered for therapeutic *** this review,various methods of synthesis of CeO_(2)NPs are *** factors that determine the particle size and morphology of these materials are important for biomedical and dental *** is given to preparation methods and variables such as calcination temperature,which have a profound effect on particle size and *** article also presents various applications of CeO_(2)NPs in the biomedical and dental fields.

关键词： Cerium oxide nanoparticles Synthesis Antibacterial activity biomedical applications Dental applications Rare earths

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Influence of heat treatment on the machinability and corrosion behavior of AZ91 Mg alloy

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Journal of Magnesium and Alloys 2018年第1期6卷 52-58页

作者： Swetha Chowdary V Ravikumar Dumpala Anand Kumar S Kondaiah VV Ratna sunil b Department of Mechanical Engineering Rajiv Gandhi University of Knowledge Technologies(AP-IIIT)Nuzvid521202India Department of Mechanical Engineering Visvesvaraya National Institute of TechnologyNagpurMaharashtra 440010India Department of Mechanical Engineering Dayananda Sagar UniversityBengaluru560068India Department of Mechanical Engineering Tirumala Engineering CollegeNarasaraopetAndhra Pradesh 522601India

In the present study,AZ91 Mg alloy was heat treated at 410℃ for 6,12 and 24 h to investigate the influence of heat treatment on machinability and corrosion *** effect of soaking time on the amount and distribution of Mg 17 Al 12(β-phase)was analyzed under the optical *** measurements demonstrated the increased hardness with increased heat treatment soaking time,which can be attributed to the solid solution *** influence of super saturatedα-grains on reducing the cutting force(F z)with respect to increased cutting speed was observed as *** corrosion behavior of the heat treated specimens was studied by conducting electrochemical ***,corrosion rate of heat treated samples was observed as increased compared with the base *** the results,it is evident that the machinability of AZ91 Mg alloy can be improved by producing super saturatedα-grains through heat treatment but at the cost of losing corrosion resistance.

关键词： AZ91 Mg alloy Solid solution Turning Corrosion Machinability

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Magnesium based surface metal matrix composites by friction stir processing

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Journal of Magnesium and Alloys 2016年第1期4卷 52-61页

作者： b.Ratna sunil G.Pradeep Kumar Reddy Hemendra Patle Ravikumar Dumpala Department of Mechanical Engineering Rajiv Gandhi University of Knowledge Technologies(AP-IIIT)Nuzvid 520202India Department of Mechanical Engineering Vignana Bharathi Institute of TechnologyHyderabad 501301India Department of Mechanical Engineering Visvesvaraya National Institute of TechnologyNagpur 440010India

Surface metal matrix composites(MMCs)are a group of modern engineered materials where the surface of the material is modified by dispersing secondary phase in the form of particles or fibers and the core of the material experience no change in chemical composition and *** potential applications of the surface MMCs can be found in automotive,aerospace,biomedical and power ***,friction stir processing(FSP)technique has been gaining wide popularity in producing surface composites in solid state *** and its alloys being difficult to process metals also have been successfully processed by FSP to fabricate surface *** aim of the present paper is to provide a comprehensive summary of state-of-the-art in fabricating magnesium based composites by *** of the secondary phase particles and grain refinement resulted from FSP on the properties of these composites is also discussed.

关键词： Surface composites Friction stir processing Hardness Light weight Magnesium alloys biomedical implants

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