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Prognostic Kalman Filter Based Bayesian Learning Model for Data Accuracy Prediction

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Computers, Materials & Continua 2022年第7期72卷 243-259页

作者： S.Karthik Robin Singh Bhadoria Jeong Gon Lee Arun kumar Sivaraman Sovan Samanta A.Balasundaram brijesh kumar Chaurasia S.Ashokkumar Department of ECE College of Engineering and TechnologySRM Institute of Science and TechnologyVadapalaniChennai600026India Department of CSE Birla Institute of Applied Sciences(BIAS)BhimtalUttarakhand263136India Division of Applied Mathematics Wonkwang University460Iksan-DaeroIksan-SiJeonbuk54538Korea School of Computer Science and Engineering Vellore Institute of Technology(VIT)Chennai600127India Department of Mathematics Tamralipta MahavidyalayaWest Bengal721636India School of Computer Science and Engineering Center for Cyber Physical SystemsVellore Institute of Technology(VIT)Chennai600127India Indian Institute of Information Technology(IIIT) LucknowUttar Pradesh226002India Department of Computer Science and Engineering Saveetha School of EngineeringSIMATSChennai602105India

Data is always a crucial issue of concern especially during its prediction and computation in digital *** paper exactly helps in providing efficient learning mechanism for accurate predictability and reducing redundant data *** also discusses the Bayesian analysis that finds the conditional probability of at least two parametric based predictions for the *** paper presents a method for improving the performance of Bayesian classification using the combination of Kalman Filter and *** method is applied on a small dataset just for establishing the fact that the proposed algorithm can reduce the time for computing the clusters from *** proposed Bayesian learning probabilistic model is used to check the statistical noise and other inaccuracies using unknown *** scenario is being implemented using efficient machine learning algorithm to perpetuate the Bayesian probabilistic *** also demonstrates the generative function forKalman-filer based prediction model and its *** paper implements the algorithm using open source platform of Python and efficiently integrates all different modules to piece of code via Common Platform Enumeration(CPE)for Python.

关键词： Bayesian learning model kalman filter machine learning data accuracy prediction

Mathematical analysis of organic-pass transistor using pseudo-p-OTFTs

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Journal of Semiconductors 2020年第6期41卷 71-77页

作者： Shagun Pal brijesh kumar Department of Electronics and Communication Engineering MMMUT Gorakhpur-273010India

Steady state behavior analysis of organic thin film transistor(OTFTs)has been thoroughly researched in the past few ***,this static logic analysis has drawbacks of high power dissipation and high power consumption,and a large number of prerequisites in the number of transistors for the digital logic circuit ***,to overcome these basic fundamental drawbacks of static logic,the dynamic logic study of organic thin film transistor has been analyzed in this *** fundamental basic of dynamic logic is a pass transistor for which logic high and logic low model is designed at an operating voltage of 5 V and frequency of 5 ***,the novel approach of analytical model for organic pass transistor(OPT)circuit is included and verified using *** transient individualities of organic pass transistor OPT are examined through Atlas 2-D numerical device *** reduction in the power dissipation along with additional voltage scaling and reduction in the clock frequency such as pipelining may further enable the applications into more complex VLSI ICs.

关键词： organic-pass transistor(OPT) logic high logic low pseudo-p dynamic state analytical model

Identification and characterization of phenolics and terpenoids from ethanolic extracts of Phyllanthus species by HPLC-ESI-QTOF-MS/MS

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Journal of Pharmaceutical Analysis 2017年第4期7卷 214-222页

作者： Sunil kumar Awantika Singh brijesh kumar Sophisticated Analytical Instrument Facility CSIR-Central Drug Research InstituteLucknow 226031Uttar PradeshIndia Academy of Scientific and Innovative Research (AcSIR) New Delhi 110025India

Phyllanthus species plants are a rich source of phenolics and widely used due to their medicinal properties. A liquid chromatography–tandem mass spectrometry(LC–MS/MS) method was developed using high-pressure liquid chromatography coupled with quadrupole time-of-flight tandem mass spectrometry(HPLC-ESI-QTOFMS/MS) for the identification and characterization of quercetin, kaempferol, ellagic acid and their derivatives in ethanolic extracts of Phyllanthus species. The chromatographic separation was carried out on Thermo Betasil C_8 column(250 mm×4.5 mm, 5 μm) using 0.1% formic acid in water and 0.1% formic acid in methanol as the mobile phase. The identification of diagnostic fragment ions and optimization of collision energies were carried out using 21 reference standards. Totally 51 compounds were identified which include 21 compounds identified and characterized unambiguously by comparison with their authentic standards and the remaining 30 were tentatively identified and characterized in ethanolic extracts of P. emblica, P. fraternus, P. amarus and ***.

关键词： Phyllanthus species HPLC-ESI-QTOF-MS/MS Phenolics

Improvement of User's Accuracy Through Classification of Principal Component Images and Stacked Temporal Images

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Geo-Spatial Information Science 2010年第4期13卷 243-248页

作者： Nilanchal Patel brijesh kumar Kaushal Department of Remote Sensing Birla Institute of Technology Mesra

The classification accuracy of the various categories on the classified remotely sensed images are usually evaluated by two different measures of accuracy, namely, producer＇s accuracy （PA） and user＇s accuracy （UA）. The PA of a category indicates to what extent the reference pixels of the category are correctly classified, whereas the UA of a category represents to what extent the other categories are less misclassified into the category in question. Therefore, the UA of the various categories determines the reliability of their interpretation on the classified image and is more important to the analyst than the PA. The present investigation has been performed in order to determine if there occurs improvement in the UA of the various categories on the classified image of the principal components of the original bands and on the classified image of the stacked image of two different years. We performed the analyses using the IRS LISS Ⅲ images of two different years, i.e., 1996 and 2009, that represent the different magnitude of urbanization and the stacked image of these two years pertaining to Ranchi area, Jharkhand, India, with a view to assessing the impacts of urbanization on the UA of the different categories. The results of the investigation demonstrated that there occurs significant improvement in the UA of the impervious categories in the classified image of the stacked image, which is attributable to the aggregation of the spectral information from twice the number of bands from two different years. On the other hand, the classified image of the principal components did not show any improvement in the UA as compared to the original images.

关键词： producer's accuracy user's accuracy principal components classification stacked image

Effect of bioflocculants on the coagulation activity of alum for removal of trihalomethane precursors from low turbid water

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Journal of Environmental Sciences 2018年第8期30卷 1-10页

作者： Tanwi Priya Abhrajyoti Tarafdar Bramha Gupta brijesh kumar Mishra Department of Environmental Science and Engineering Indian Institute of Technology (Indian School of Mines)

Reactivity of chlorine towards hydrophobic groups present in natural organic matter（NOM）provokes the formation of carcinogenic disinfection byproducts such as trihalomethanes in chlorinated water. The present study aimed to investigate the variations in coagulant activity of alum using two different bioflocculants（coagulant aid） namely, Moringa oleifera and Cyamopsis tetragonoloba for the removal of hydrophobic fractions of NOM and subsequent chlorine consumption by treated water. Effect of dual coagulants on trihalomethane surrogate parameters such as total organic carbon, dissolved organic carbon, UV absorbing materials and prominent hydrophobic species such as phenolic groups along with aromatic chromophores, polyhydroxy aromatic moiety have also been studied. The concept of differential spectroscopy and absorbance slope index has been employed to understand the combined effects of alum-bioflocculants on the reactivity of NOM with chlorine. Our result shows that the combination of alum and C. tetragonoloba is more efficient for reducing trihalomethane surrogates from chlorinated water as compared to M. oleifera. C. tetragonoloba elicited synchronized effects of sweep coagulation and particle bridging-adsorption which eventually facilitated efficient removal of hydrophobic fractions of NOM. The variation in the mechanistic approach of bioflocculants was due to the presence of cationic charge on M. oleifera and adhesive property of C. tetragonoloba.

关键词： Natural organic matter Bioflocculants Disinfection byproducts Trihalomethanes Differential spectroscopy Absorbance slope index

Analysis of isoquinoline alkaloids from Mahonia leschenaultia and Mahonia napaulensis roots using UHPLC-Orbitrap-MSn and UHPLC-QqQ LIT-MS/MS

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Journal of Pharmaceutical Analysis 2017年第2期7卷 77-86页

作者： Awantika Singh Vikas Bajpai Sunil kumar Ajay kumar Singh Rawat brijesh kumar Sophisticated Analytical Instrument Facility Division CSIR-Central Drug Research InstituteLucknow 226031India Academy of Scientific and Innovative Research New Delhi 110001India Pharmacognosy and Ethnopharmacology Division CSIR-National Botanical Research InstituteLucknow 226001India

Mahonia leschenaultia（ML） and Mahonia napaulensis（MN） are less known and unexplored medicinal plants of the family Berberidaceae. They are used by the Todas of Nilgiris in their religious and medical practices but chemically less identified. Hence, we decided to do extensive phytochemical analysis to explore the potential of these plant extracts. An ultrahigh performance electrospray tandem mass spectrometry（UHPLC-ESI-MS/MS）method was successfully developed for qualitative analysis of the bioactive components in Mahonia species using Orbitrap Velos Pro mass spectrometer. Sixteen compounds were identified by comparison of their retention times and mass spectra（MS） with authentic standards and reported literature. Multi-stage mass spectra（MS（2-8）） for the identification of protoberberine and aporphine alkaloids showed the sequential expulsion of all the substituents attached with their basic skeleton followed by CO loss. Eight of the identified compounds（berberine, jatrorrhizine, palmatine, magnoflorine, isocorydine, glaucine, tetrahydropalmatine and tetrahydroberberine） were simultaneously determined by another UHPLC-ESI-MS/MS method under the multiple reactions monitoring（MRM） mode quantitatively using triple quadrupole linear ion trap mass spectrometer. The analytical method was validated for 8 bioactive compounds with overall recovery in the range98.5%-103.6%（RSD≤2.2%）, precise（RSD≤2.07%） and linear（r≥0.9995） over the concentration range of 0.5-1000 ng/mL and successfully applied in ML and MN roots, which suggests the suitability of the proposed approach for the routine analysis of Mahonia species and their quality control.

关键词： Orbitrap-MS QqQLIT-MS Mahonia leschenaultia Mahonia napaulensis Isoquinoline alkaloids

Structural characterization of monoterpene indole alkaloids in ethanolic extracts of Rauwolfia species by liquid chromatography with quadrupole time-of-flight mass spectrometry

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Journal of Pharmaceutical Analysis 2016年第6期6卷 363-373页

作者： Sunil kumar Awantika Singh Vikas Bajpai Mukesh Srivastava Bhim Pratap Singh brijesh kumar Sophisticated Analytical Instrument Facility CSIR-Central Drug Research Institute Lucknow 226031 Uttar Pradesh India Academy of Scientific and Innovative Research (AcSIR) New Delhi 110025 India Biometry and Statistics Division CSIR-Central Drug Research Institute Lucknow 226031 Uttar Pradesh India Department of Biotechnology Mizoram University Tanharil 796004 Aizawl Mizoram India

Rauwolfia species(Apocynaceae) are medicinal plants well known worldwide due to its potent bioactive monoterpene indole alkaloids(MIAs) such as reserpine,ajmalicine,ajmaline,serpentine and ***,ajmalicine and ajmaline are powerful antihypertensive,tranquilizing agents used in *** is an aphrodisiac used in dietary *** there is no report on the comparative and comprehensive phytochemical investigation of the roots of Rauwolfia species,we have developed an efficient and reliable liquid chromatography-tandem mass spectrometry(LC–MS/MS) method for ethanolic root extract of Rauwolfia species to elucidate the fragmentation pathways for dereplication of bioactive MIAs using highperformance liquid chromatography coupled with electrospray ionization quadrupole time-of-flight tandem mass spectrometry(HPLC–ESI–QTOF–MS/MS) in positive ion *** identified and established diagnostic fragment ions and fragmentation pathways using reserpine,ajmalicine,ajmaline,serpentine and *** MS/MS spectra of reserpine,ajmalicine,and ajmaline showed C-ring-cleavage whereas E-ring cleavage was observed in serpentine via Retro Diels Alder(RDA).A total of 47 bioactive MIAs were identified and characterized on the basis of their molecular formula,exact mass measurements and MS/MS ***,ajmalicine,ajmaline,serpentine and yohimbine were unambiguously identified by comparison with their authentic standards and other 42 MIAs were tentatively identified and characterized from the roots of Rauwolfia hookeri,Rauwolfia micrantha,Rauwolfia serpentina,Rauwolfia verticillata,Rauwolfia tetraphylla and Rauwolfia *** of LC–MS followed by principal component analysis(PCA) has been successfully used to discriminate among six Rauwolfia species.

关键词： Rauwolfia species Monoterpene indole alkaloids (MIAs) HPLC–ESI–QTOF–MS/MS Principal component analysis (PCA)

Rapid screening and distribution of bioactive compounds in different parts of Berberis petiolaris using direct analysis in real time mass spectrometry

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Journal of Pharmaceutical Analysis 2015年第5期5卷 332-335页

作者： Awantika Singh Vikas Bajpai Mukesh Srivastava Kamal Ram Arya brijesh kumar Sophisticated Analytical Instrument Facility(SAIF) CSIR-Central Drug Research Institute Academy of Scientific and Innovative Research(AcSIR) Biometric and Statistics Division CSIR-Central Drug Research Institute Botany Division CSIR-Central Drug Research Institute

Berberis petiolaris Wall. ex G. Don, an unexplored medicinal plant belonging to the family Berberidaceae, is a large deciduous shrub found in Western Himalaya between 1800-3000 m. Chemical profiling of fruit, leaf, root and stem was done by direct analysis in real time mass spectrometry followed by multivariate analysis for discrimination among the plant parts. The bioactive compounds, including magnofiorine, berberine, jatrorrhizine, thalifendine/berberrubine, demethyleneberberine, reticuline, 8-oxoberberine, N-methyltetrahydroberberine, tetrahydropalmatine, tetrahydroberberine and palmatine, were identified by their exact mass measurement and the corresponding molecular formula of each compound. A comparative study of distribution pattern for all these bioactive alkaloids showed qualitative and quantitative variations in different parts of B. petiolaris. Principal component analysis clearly dis- criminated each part of B. petiolaris plant.

关键词： Berberis petiolarisAlkaloidsProfilingDART-TOF-MSStatistical analysis

Promising drug targets and associated therapeutic interventions in Parkinson's disease

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Neural Regeneration Research 2021年第9期16卷 1730-1739页

作者： Sachchida Nand Rai Payal Singh Ritu Varshney Vivek K.Chaturvedi Emanuel Vamanu M.P.Singh brijesh kumar Singh Centre of Biotechnology University of AllahabadPrayagrajIndia Department of Zoology Institute of ScienceBanaras Hindu UniversityVaranasiIndia Department of Bioengineering and Chemistry Indian Institute of Technology GandhinagarPalajGujaratIndia Faculty of Biotechnology University of Agronomic Science and Veterinary MedicineBucharestRomania Department of Pathology and Cell Biology Columbia University Medical CenterNew YorkNYUSA

Parkinson's disease(PD) is one of the most debilitating brain diseases. Despite the availability of symptomatic treatments, response towards the health of PD patients remains scarce. To fulfil the medical needs of the PD patients, an efficacious and etiological treatment is required. In this review, we have compiled the information covering limitations of current therapeutic options in PD, novel drug targets for PD, and finally, the role of some critical beneficial natural products to control the progression of PD.

关键词： dopamine epigenetics gene therapies glutamate receptor levodopa molecular chaperones monoamine oxidase B mucuna alpha-synuclein Parkinson's disease striatum substantia nigra