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S&P BSE Sensex and S&P BSE IT return forecasting using ARIMA

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Financial Innovation 2020年第1期6卷 793-811页

作者： madhavi latha Challa Venkataramanaiah Malepati Siva Nageswara Rao Kolusu Department of CSE CMR College of Engineering&TechnologyHyderabadIndia Department of Commerce SG Govt.Degree&PG CollegePilerAndhra PradeshIndia Department of Management Studies Vignan Foundation for ScienceTechnology&ResearchGunturAndhra PradeshIndia

This study forecasts the return and volatility dynamics of S&P BSE Sensex and S&P BSE IT indices of the Bombay Stock *** achieve the objectives,the study uses descriptive statistics;tests including variance ratio,Augmented Dickey-Fuller,Phillips-Perron,and Kwiatkowski Phillips Schmidt and Shin;and Autoregressive Integrated Moving Average(ARIMA).The analysis forecasts daily stock returns for the S&P BSE Sensex and S&P BSE IT time series,using the ARIMA *** results reveal that the mean returns of both indices are positive but near *** is indicative of a regressive tendency in the *** forecasted values of S&P BSE Sensex and S&P BSE IT are almost equal to their actual values,with few ***,the ARIMA model is capable of predicting medium-or long-term horizons using historical values of S&P BSE Sensex and S&P BSE IT.

关键词： Efficient market hypothesis Bombay stock exchange ARIMA KPSS S&P BSE Sensex Forecasting S&P BSE IT

Risk factors for endophthalmitis following cataract surgery-our experience at a tertiary eye care centre in India

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International Journal of Ophthalmology(English edition) 2015年第6期8卷 1184-1189页

作者： Rohit C.Khanna Vanita Pathak Ray madhavi latha Sandra D Cassard Annie Mathai Garudadri C Sekhar LV Prasad Eye Institute Kallam Anji Reddy Campus Wilmer Eye Institute Johns Hopkins University

AIMTo determine the risk factors for acute endophthalmitis after cataract extraction in a tertiary care centre in *** performed a nested case control study within a retrospective cohort. The surgical records of all patients with clinically diagnosed endophthalmitis within one month after cataract surgery, performed between January 2006 and December 2009, were reviewed. These were compared with randomly selected age and gender-matched controls, from patients having routine cataract surgery within ±1wk of the endophthalmitis case. Univariable and multivariable analysis were performed to identify risk factors for *** the total 33 856 cataract surgeries performed during this period, there were 57 cases of postoperative acute endophthalmitis that met our study criteria. Thus, the overall incidence of endophthalmitis in our cohort was 1.6 per 1000 cataract extractions performed. Mean age of cases was 55.9y (SD: 10.9y) and for controls was 55.6y (SD: 9.8y). Thirty-five cases (61.4%) and 133 controls (59.6%) were males. Median time of onset of endophthalmitis was 4d (IQR 2-9d; range: 1-30d). Thirty-nine cases (68.4%) presented within 7d and 27 cases (47.4%) were culture positive. Two hundred and twenty-three age and gender matched controls were selected. In multivariate analysis, endophthalmitis was associated with posterior capsular rupture (PCR) during surgery (OR 6.98, 95%CI: 2.22-21.98), phacoemulsification via scleral incision with a foldable intraocular lens (IOL) implantation (OR 3.02, 95%CI: 1.13-8.04) and ocular co-morbidity (OR 2.32, 95%CI: 1.11-4.87).CONCLUSIONPCR, presence of ocular co-morbidity, and phacoemulsification via scleral incision with foldable-IOL were found to be independent risk factors for acute endophthalmitis.

关键词： endophthalmitis incidence cataract surgery risk factors

State-of-the-art and future directions of machine learning for biomass characterization and for sustainable biorefinery

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Journal of Energy Chemistry 2023年第6期81卷 42-63,I0003页

作者： Aditya Velidandi Pradeep Kumar Gandam madhavi latha Chinta Srilekha Konakanchi Anji reddy Bhavanam Rama Raju Baadhe Minaxi Sharma James Gaffey Quang D.Nguyen Vijai Kumar Gupta Integrated Biorefinery Research Laboratory Department of BiotechnologyNational Institute of TechnologyWarangalTelangana 506004India Stem cell research laboratory Department of BiotechnologyNational Institute of TechnologyWarangalTelangana 506004India Department of Biotechnology Chaitanya University(Deemed to be University)WarangalTelangana 506001India Department of Chemical Engineering Dr.B.R.Ambedkar National Institute of Technology JalandharPunjab 144027India Haute Ecole Provinciale de Hainaut-Condorcet 7800 ATHBelgium Department of Applied Biology University of Science and TechnologyMeghalaya 793101India Circular Bioeconomy Research Group Shannon Applied Biotechnology CentreMunster Technological UniversityKerryIreland Department of Bioengineering and Alcoholic Drink Technology Institute of Food Science and TechnologyHungarian University of Agriculture and Life SciencesH-1118 BudapestḾenesiút 45Hungary Biorefining and Advanced Materials Research Center SRUCKings BuildingsWest Mains RoadEdinburgh EH93JGUK Department of Biotechnology Graphic Era Deemed to be UniversityDehradun 248002UttarakhandIndia

Machine learning(ML)has emerged as a significant tool in the field of biorefinery,offering the capability to analyze and predict complex processes with *** article reviews the current state of biorefinery and its classification,highlighting various commercially successful ***,we delve into different categories of ML models,including their algorithms and applications in various stages of biorefinery lifecycle,such as biomass characterization,pretreatment,lignin valorization,chemical,thermochemical and biochemical conversion processes,supply chain analysis,and life cycle *** benefits and limitations of each of these algorithms are discussed in ***,the article concludes with a discussion of the limitations and future prospects of ML in the field of biorefineries.

关键词： Biofuel Biomass characterization Biorefinery Life cycle assessment Machine learning Pretreatment

ECG compression and labview implementation

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Journal of Biomedical Science and Engineering 2009年第3期2卷 177-183页

作者： Tatiparti Padma M. madhavi latha Abrar Ahmed GRIET Hyderabad India. GRIET JNTU Hyderabad India Member IETE JNTU Hyderabad India Member IEEE

It is often very difficult for the patient to tell the difference between angina symptoms and heart attack symptoms, so it is very important to recognize the signs of heart attack and immedi-ately seek medical attention. A practical case of this type of remote consultation is examined in this paper. To deal with the huge amount of electrocardiogram (ECG) data for analysis, storage and transmission;an efficient ECG compression technique is needed to reduce the amount of data as much as possible while pre-serving the clinical significant signal for cardiac diagnosis. Here the ECG signal is analyzed for various parameters such as heart rate, QRS-width, etc. Then the various parameters and the compressed signal can be transmitted with less channel capacity. Comparison of various ECG compression techniques like TURNING POINT, AZTEC, CORTES, FFT and DCT it was found that DCT is the best suitable compression technique with compression ratio of about 100:1. In addition, different techniques are available for implementation of hardware components for signal pickup the virtual im-plementation with labview is also used for analysis of various cardiac parameters and to identify the abnormalities like Tachycardia, Bradycardia, AV Block, etc. Both hardware and virtual implementation are also detailed in this context.

关键词： ECG Compression Labview Implementation

Forecasting risk using auto regressive integrated moving average approach: an evidence from S&P BSE Sensex

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Financial Innovation 2018年第1期4卷 344-360页

作者： madhavi latha Challa Venkataramanaiah Malepati Siva Nageswara Rao Kolusu School of Management Studies Vignan’s Foundation for ScienceTechnology&ResearchGunturAndhra PradeshIndia Institute of Management Studies Golden Valley Integrated Campus(GVIC)MadanapalliChittoor 517325India.

The primary objective of the paper is to forecast the beta values of companies listed on Sensex,Bombay Stock Exchange(BSE).The BSE Sensex constitutes 30 top most companies listed which are popularly known as blue-chip *** reach out the predefined objectives of the research,Auto Regressive Integrated Moving Average method is used to forecast the future risk and returns for 10 years of historical data from April 2007 to March *** accomplished by comparison of forecasted and actual beta values for the hold back period of 2 ***-Mean-Square-Error and Mean-Absolute-Error both are used for accuracy *** results revealed that out of 30 listed companies in the BSE Sensex,10 companies’exhibits high beta values,12 companies are with moderate and 8 companies are with low beta ***,it is to note that Housing Development Finance Corporation(HDFC)exhibits more inconsistency in terms of beta values though the average beta value is lowest among the companies under the study.A mixed trend is found in forecasted beta values of the BSE *** this analysis,all the p-values are less than the F-stat values except the case of Tata Steel and ***,the null hypotheses were rejected leaving Tata Steel and *** values of actual and forecasted values are showing the almost same results with low error ***,it is concluded from the study that the estimation ARIMA could be acceptable,and forecasted beta values are *** far,there are many studies on ARIMA model to forecast the returns of the stocks based on their historical ***,hardly there are very few studies which attempt to forecast the returns on the basis of their beta ***,the attempt so made is a novel approach which has linked risk directly with *** the basis of the present study,authors try to through light on investment decisions by linking it with beta values of respective ***,the outcomes of the present study und

关键词： Akaike Information Criteria(AIC) Bombay Stock Exchange(BSE) Auto Regressive Integrated Moving Average(ARIMA) Beta Time series

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用电化学方法从碳化钨废料中回收钨和钴

湿法冶金 1990年第1期9卷 26-30页

作者： T.madhavi latha 向寨路

本文阐述了以硝酸作电解质溶液,用电化学方法回收钨和钴的研究结果。本法包括碳化物材料的阳极氧化,以生成不溶性的钨酸(H_2WO_4),并使钴离子转入溶液中。以硝酸浓度、电流密度、温度和时间作变量,探索了碳化钨的氧化和钴的溶解同时进... 详细信息

本文阐述了以硝酸作电解质溶液,用电化学方法回收钨和钴的研究结果。本法包括碳化物材料的阳极氧化,以生成不溶性的钨酸(H_2WO_4),并使钴离子转入溶液中。以硝酸浓度、电流密度、温度和时间作变量,探索了碳化钨的氧化和钴的溶解同时进行的条件。研究发现,加入钴、硝酸铵或高氯酸钾对碳化钨的氧化有促进作用。从硝酸盐溶液中沉积钴的电流效率非常低。通过极化作用曲线研究了烧结碳化物的阳极行为,讨论了恒电压溶解和电极反应。

关键词：碳化钨电化学方法阳极电压电解质溶液阳极氧化极化作用高氯酸钾曲线研究硝酸浓度电流密度

Study of Molecular Polarizabilities and Orientational Order Parameter in the Nematic Phase of 6.O12O.6 and 7.O12O.7

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World Journal of Condensed Matter Physics 2011年第4期1卷 167-174页

作者： Parameswara Rao Alapati D. Bhuyan D. madhavi latha P. Pardhasaradhi V. G. K. M. Pisipati P. V. Datta Prasad K. N. Singh 不详

As a part of our systematic study of the physical properties of the compounds of symmetric liquid crystal dimer homologous series, α,ω-bis-(4-n-alkylaniline benzylidene-4’-oxy) alkanes (***.m), we report here an optical study of two nematogenic compounds of this series viz., 6.O12O.6 and 7.O12O.7 by carrying out the measurement of extraordinary and ordinary refractive indices using modified spectrometer. The molecular polarizability anisotropies are evaluated using Lippincott δ-function model, the molecular vibration method, Haller’s extrapolation method and scaling factor method. The molecular polrizabilities, αe and αo are calculated using Vuks’ isotropic field model and Neugebauer’s anisotropic field model. The orientational order parameter, S, is estimated by using the molecular polarizability values calculated from refractive index and denstity data as well as polarizability anisotropy values calculated as a function of temperature in the nematic phase of both of the dimers. These values are discussed with reference to the order parameter values obtained directly from the optical birefringence, Δn, data without assuming any internal field. A comparison of the order parameter values from all of these methods was carried out in the light of available literature data.

关键词： Symmetric Liquid Crystal Dimers Refractive Index Orientational Order Parameter Molecular Polarizability