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A clinical decision support system using rough set theory and machine learning for disease prediction

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Intelligent Medicine 2024年第3期4卷 200-208页

作者： Kamakhya Narain singh Jibendu Kumar Mantri Department of Computer Application Maharaja Sriram Chandra Bhanja Deo UniversityBaripadaIndia

Objective Technological advances have led to drastic changes in daily life,and particularly healthcare,while traditional diagnosis methods are being replaced by technology-oriented models and paper-based patient health-care records with digital *** the latest technology and data mining techniques,we aimed to develop an automated clinical decision support system(CDSS),to improve patient prognoses and healthcare *** proposed approach placed a strong emphasis on improvements that meet patient,parent,and physician *** developed a flexible framework to identify hepatitis,dermatological conditions,hepatic disease,and autism in adults and provide results to patients as *** novelty of this CDSS lies in its inte-gration of rough set theory(RST)and machine learning(ML)techniques to improve clinical decision-making accuracy and *** Data were collected through various web-based *** preprocessing techniques were applied to encode categorical features,conduct min-max scaling,and remove null and duplicate *** most prevalent feature in the class and standard deviation were used to fill missing categorical and continuous feature values,respectively.A rough set approach was applied as feature selection,to remove highly redundant and irrelevant ***,various ML techniques,including K nearest neighbors(KNN),linear support vector machine(LSVM),radial basis function support vector machine(RBF SVM),decision tree(DT),random forest(RF),and Naive Bayes(NB),were employed to analyze four publicly available benchmark medical datasets of different types from the UCI repository and *** model was implemented in Python,and various validity metrics,including precision,recall,F1-score,and root mean square error(RMSE),applied to measure its *** Features were selected using an RST approach and examined by RF analysis and important features of hepatitis,dermatology conditions,hepatic dis

关键词： Clinical decision support system Disease classification Machine learning classifier Medical data Recommendation Rough set

Glacier area change (1993-2019) and its relationship to debris cover, proglacial lakes, and morphological parameters in the chandra-Bhaga Basin, Western Himalaya, India

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Journal of Mountain Science 2024年第4期21卷 1287-1306页

作者： VATSAL Sarvagya AZAM Mohd Farooq BHARDWAJ Anshuman MANDAL Arindan BAHUGUNA Ishmohan RAMANATHAN Alagappan RAJU N.Janardhana TOMAR Sangita singh Department of Civil Engineering Indian Institute of Technology IndoreSimrol 453552India School of Geosciences University of AberdeenKing’s CollegeAberdeen AB243FXUnited Kingdom Interdisciplinary Centre for Water Research Indian Institute of ScienceBengaluru 560012India Space Application Centre Ahmedabad 380015India School of Environmental Sciences Jawaharlal Nehru UniversityNew Delhi 110067India Department of Geography Norwegian University of Science and TechnologyTrondheim No-7491Norway

Glacier inventories serve as critical baseline data for understanding the impacts of climate change on *** present study maps the outlines of glaciers in the chandra-Bhaga Basin(western Himalaya)for the years 1993,2000,2010,and 2019 using Landsat Thematic Mapper(TM),Enhanced Thematic Mapper(ETM),and Operational Land Imager(OLI)datasets.A total of 251 glaciers,each having an area above 0.5 km^(2),were identified,which include 216 clean-ice and 35 debris-covered *** changes are estimated for three periods:1993-2000,2000-2010,and *** total glacierized area was 996±62 km^(2) in 1993,which decreased to 973±70 km^(2) in *** mean rate of glacier area loss was higher in the recent decade(2010-2019),at 0.036 km^(2),compared to previous decades(0.029 km^(2) in 2000-2010 and 0.025 km^(2) in 1993-2000).Supraglacial debris cover changes are also mapped over the period of 1993 and *** is found that the supraglacial debris cover increased by 14.12±2.54 km^(2)(15.2%)during *** field surveys on Chhota shigri,Panchi II,Patsio,Hamtah,Mulkila,and Yoche Lungpa glaciers were carried out to validate the glacier outlines and supraglacial debris cover estimated using satellite *** of various morphological parameters on retreat were also *** is observed that small,clean ice,south oriented glaciers,and glaciers with proglacial lakes are losing area at faster rates than other glaciers in the basin.

关键词： Glacier Area change Debris cover Morphology Proglacial lake

Metformin reduces testosterone level in type 2 diabetes mellitus patients and its therapy by traditional medicine

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Clinical Traditional Medicine and Pharmacology 2024年第4期5卷 19-26页

作者： Gorika Tomar Mitushi singh Isha sharma Anuj Nautiyal Saurabh Aggarwal Subhash chandra Havagiray R.Chitme Cassio Rocha Medeiros Micheline de Azevedo Lima Lucia Raquel de Lima Henrique Douglas Melo Coutinho Bhavna Kumar Department of Pharmacy Practice School of Pharmaceutical SciencesSGRR UniversityPatel NagarDehradun 248001UttarakhandIndia Department of Medicine Shri MahantIndiresh HospitalSGRR UniversityPatel NagarDehradun 248001UttarakhandIndia Department of Pharmaceutical Chemistry School of Pharmaceutical SciencesSGRR UniversityPatel NagarDehradun 248001UttarakhandIndia Department of Pharmacology and Toxicology Amity Institute of PharmacyAmity UniversitySector-125Noida 201313 UPGwaliorIndia CECAPE College Av.Padre Cícero3917-São JoséJuazeiro do Norte 63024-015CEBrazil Department of Molecular Biology Federal University of Paraiba-UFPBJoao Pessoa 58051-900ParaibaBrazil Department of Biological Chemistry Regional University of Cariri-URCACrato 63105-000CEBrazil Department of Pharmaceutics DIT UniversityDehradun 248009UttarakhandIndia

Background:Type 2 Diabetes Mellitus(T2DM)is a chronic metabolic disorder characterized by insulin resistance and ***,a commonly prescribed treatment for T2DM,is known for its effectiveness in improving glycemic *** studies suggest that metformin may also influence testosterone levels in male patients,a hormone crucial for male reproductive health,muscle mass maintenance,and overall quality of *** plants were traditionally used for influencing the testosterone level in the body which may be given as a therapy for the side–effects of metformin ***:To assess the impact of metformin treatment on testosterone levels in male patients with T2DM compared to non-diabetic males,and to evaluate the potential implications of traditional medical treatments in managing the consequences of reduced testosterone ***:This study is a prospective observational investigation conducted among a total of 60 patients,divided into two groups:30 males taking metformin as a hyperglycaemic agent with T2DM and 30 males without any diabetic *** study was be carried out in different outpatient department of shri Mahant Indiresh Hospital,Patel Nagar,Dehradun to assess the level of testosterone in male patients with T2DM taking metformin and in non-Diabetic *** on these findings,potential traditional medicines methods for reducing testosterone levels were ***:It was demonstrated that male patients with T2DM undergoing metformin treatment exhibited significant reduction in testosterone serum levels compared to non-diabetic *** plants were examinedand,and clinical studies were conducted on *** was discovered that these plants have been effective in increasingtestosterone level,suggesting their potential use as therapy for ***:This study shows reduction in the testosterone levels,which may lead to low sex drives and induction of low testosterone induced erectile dy

关键词： Type 2 diabetes mellitus Testosterone Metformin Erectile dysfunction Hyperglycaemia

Chemical characteristics of trace metals in PM10 and their concentrated weighted trajectory analysis at Central Delhi,India

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Journal of Environmental Sciences 2017年第5期29卷 184-196页

作者： Subhash chandra Monika J.Kulshrestha Ruchi singh Nahar singh CSIR-National Physical Laboratory New Delhi 110012 India. Academy of Scientific and Innovative Research (AcSIR) CSIR - National Physical Laboratory (CSIR-NPL) Campus New Delhi 110012 India Present address: shriram Institute for Industrial Research Delhi 110007 India.

Trace metals associated with PM10 aerosols and their variation during day and nighttime as well as during different seasons have been studied for the year 2012. PCA analysis suggested5 PCs,which accounted for 86.8% cumulative variance. PC1 accounted for 30% with a significant loading of metals of anthropogenic origin,while PC2 showed 28% variance with the loading of metals of crustal origin. These trace metals showed seasonal distinct day and night time characteristics. The concentrations of Cu,Pb,and Cd were found to be higher during nighttime in all the seasons. Only Fe was observed with significantly higher mean concentrations during daytime of all seasons except monsoon. The highest mean values of Cu,Cd,Zn,and Pb during post-monsoon might be attributed to winds advection over the regions of waste/biomass burning and industrial activities in Punjab and Haryana ***,concentration weighted trajectory analysis suggested that metals of crustal origin were contributed by long-range transport while metals of anthropogenic and industrial activities were contributed by regional/local source regions.

关键词： Trace metals Potential source regions Backward trajectory Principal component analysis

Oxygen Fugacity and Water Activity during Thermal Peak and Retrogression of Granulites around the Sarvapuram Area, Karimnagar Granulite Terrane, Andhra Pradesh, India

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Acta Geologica Sinica(English Edition) 2019年第6期93卷 1900-1908页

作者： P.chandra singh D.prak.sh Department of Earth Sciences Indian Institute of TechnologyPowaiMumbai400076India Centre of Advanced Study in Geology Banaras Hindu UniversityVaranasi221005India

The investigated area around Sarvapuram represents a part of the Karimnagar granulite terrane of the Eastern Dharwar Craton, India. Garnet–bearing gneiss is hosted as enclaves, pods within granite gneiss and charnockite. It is largely made up of garnet, orthopyroxene, cordierite, biotite, plagioclase, K–feldspar, sillimanite and quartz. The peak metamorphic stage is represented by the equilibrium mineral assemblage i.e. garnet, orthopyroxene, cordierite, biotite, plagioclase, sillimanite and quartz. Breakdown of the garnet as well as preservation of the orthopyroxene–cordierite symplectite, formation of cordierite with the consumption of the garnet + sillimanite + quartz represents the decompressional event. The thermobarometric calculations suggest a retrograde P–T path with a substantial decompression of c. 3.0 kbar. The water activity(XH2 O) conditions obtained with the win TWQ program for core and symplectite compositions from garnet–bearing gneiss are 0.07–0.14 and 0.11–0.16 respectively. The quantitative estimation of oxygen fugacity in garnet–bearing gneiss reveal log f O2 values ranging from-11.38 to-14.05. This high oxidation state could be one of the reasons that account for the absence of graphite in these rocks.

关键词： metamorphic conditions oxygen fugacity water activity garnet–bearing gneisses Karimnagar granulite terrane India

Machine learned interatomic potentials using random features

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npj Computational Materials 2022年第1期8卷 48-57页

作者： Gurjot Dhaliwal Prasanth B.Nair chandra Veer singh Department of Mechanical and Industrial Engineering University of Toronto5 King’s College RdTorontoM5S 3G8ONCanada Institute for Aerospace Studies University of Toronto4925 Dufferin StTorontoM3H 5T6ONCanada Department of Materials Science and Engineering University of Toronto184 College StTorontoM5S 3E4ONCanada

We present a method to model interatomic interactions such as energy and forces in a computationally efficient *** proposed model approximates the energy/forces using a linear combination of random features,thereby enabling fast parameter estimation by solving a linear least-squares *** discuss how random features based on stationary and non-stationary kernels can be used for energy approximation and provide results for three classes of materials,namely two-dimensional materials,metals and *** and energy predictions made using the proposed method are in close agreement with density functional theory calculations,with training time that is 96%lower than standard kernel *** Dynamics calculations using random features based interatomic potentials are shown to agree well with experimental and density functional theory *** frequencies as computed by random features based interatomic potentials are within 0.1%of the density functional theory ***,the proposed random features-based potential addresses scalability issues encountered in this class of machine learning problems.

关键词： random stationary interatomic

Effects of resistivity on standing shocks in low angular momentum flows around black holes

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Research in Astronomy and Astrophysics 2021年第6期21卷 222-232页

作者： chandra B.singh Toru Okuda Ramiz Aktar South-Western Institute for Astronomy Research Yunnan UniversityKunming 650500China Hakodate Campus Hokkaido University of EducationHachiman-Cho 1-2HakodateHokkaido 040-8567Japan Department of Astronomy Xiamen UniversityXiamen 361005China

We study two-dimensional low angular momentum flow around a black hole using the resistive magnetohydrodynamic module of PLUTO *** have been performed for the flows with parameters of specific angular momentum,specific energy and magnetic field which may be expected for the flow around Sgr A*.For flows with lower resistivityη=10^(-6)and 0.01,the luminosity and shock location on the equator vary *** power density spectra of luminosity variation show peak frequencies which correspond to the periods of 5×10^(5),1.4×10^(5)and 5×10^(4)*** quasi-periodic oscillations(QPOs)occur due to interaction between the outer oscillating standing shock and the inner weak shocks occurring at the innermost hot *** for cases with higher resistivityη=0.1 and 1.0,the high resistivity considerably suppresses the magnetic activity such as MHD turbulence and the flows tend to be steady and symmetric with respect to the *** steady standing shock is formed more outward compared with the hydrodynamical *** low angular momentum flow model with the above flow parameters and with low resistivity has a possibility to explain long-term flares of Sgr A*with frequencies~one per day and~5-10 days in the latest observations by chandra,Swift and XMM-Newton monitoring of Sgr A*.

关键词： accretion accretion disks magnetohydrodynamics(MHD) methods:numerical shock waves Galaxy:center

Study of Non-Pharmacological Interventions on COVID-19 Spread

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Computer Modeling in Engineering & Sciences 2020年第12期125卷 967-990页

作者： Avaneesh singh Saroj Kumar chandra Manish Kumar Bajpai PDPM Indian Institute of Information Technology Design and ManufacturingJabalpur482005India

COVID-19 disease has emerged as one of the life threatening threat to the society.A novel beta coronavirus causes *** began as unidentified pneumonia of unknown etiology in Wuhan City,Hubei province in China emerged in December *** vaccine has been produced till *** models are used to study the impact of different measures used to decrease *** models have been designed to estimate the numbers of spreaders in different scenarios in the present *** the present manuscript,three different mathematical models have been proposed with different scenarios,such as screening,quarantine,andNPIs,to estimate the number of virus *** analysis shows that the numbers of COVID-19 patients will be more without screening the peoples coming from other *** every people suffering fromCOVID-19 disease are *** screening and quarantine with NPIs have been implemented to study their impact on the *** has been found that NPI measures can reduce the number of *** NPI measures reduce the spread function’s growth and provide decision makers more time to prepare with in dealing with the disease.

关键词： Coronavirus COVID-19 mathematical modelling epidemic

Community Responses to Mountain Tourism:A Case in Bhyundar Valley,Indian Himalaya

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Journal of Mountain Science 2009年第4期6卷 394-404页

作者： Ram Babu singh Suraj Mal chandra prak.sh Kala Department of Geography Delhi School of EconomicsUniversity of Delhi Department of Geography Shaheed Bhagat Singh CollegeUniversity of Delhi Ecosystem and Environment Management Division Indian Institute of Forests Management

Tourism industry has become an important part of Indian economy,and tourism development has been,however,concentrated to a few areas. Accumulation of tourism activities has reached the critical stage in most of the tourism centers,which pose serious threats to the natural environment. The Bhyundar Valley of Nanda Devi Biosphere Reserve (NDBR) in Uttarakhand State of the Indian Himalaya is a burning example of such problems. Land use/cover changes,deforestation and accumulation of garbage are some of the negative impacts of unregulated tourism in the valley. Unsustainable activities of tourists and villagers in the valley make such problems very severe. To deal with the ongoing problems and ensure community involvement in tourism management and environmental conservation,the Biosphere Reserve Authority introduced ecotourism in the form of Eco Development Committees (EDCs) in the Bhyundar Valley. Study reveals that many problems associated with tourism have been minimized to some extent with the help of EDCs but few are still prevailing in valley. However,the existing attempts to conserve the valley from the negative effects of tourism are inadequate and modifications are needed in the current initiatives.

关键词： Mountain tourism Land use change Community response Eco development committee Environmental management