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International Journal of Digital Earth 2013年第3期6卷 276-296页

作者： Arvind chandra Pandey Suraj Kumar singh M.S.Nathawat Dipankar Saha Department of Remote Sensing Birla Institute of TechnologyMesraRanchiIndia Central Ground Water Board Ministry of Water ResourcesPatnaIndia

In the present study,the multi-temporal satellite images of IRS P6 LISS III were used to map waterlogging dynamics over different *** area of 594.36 km2(6.75%)and 4.17 km^(2)(0.04%)was affected by surface waterlogging during pre and postmonsoon season,*** average annual groundwater level fluctuations were calculated using 18 years(1990-2007)pre and postmonsoon groundwater level data to identify the areas which are under groundwater induced waterlogging *** soil map clearly indicates that salinity and sodicity exhibit the highest severity and occur in areas with shallow groundwater *** hydrogeomorphical units mapped using IRS P6 LISS III satellite images are flood plain,alluvial plain,paleochannels,and oxbow *** study revealed that 44.65%areas have very good to excellent groundwater *** litholog data clearly indicate an alternating sequence of clay and sand in which deep aquifers made up of coarse sand would be best suited for adequate water supply and good groundwater *** integrated study utilizing digital spatial data pertaining to waterlogging,soil salinity,water level fluctuation,and lithological variation proved that planning of any surface and subsurface water resources development activity should be taken up after assessments of said parameters.

关键词： waterlogging salinity Ganga plain digital earth groundwater resources digital data

Assessment of alpine summit flora in Kashmir Himalaya and its implications for long-term monitoring of climate change impacts

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Journal of Mountain Science 2020年第8期17卷 1974-1988页

作者： Maroof HAMID Anzar Ahmad KHUROO Akhtar Hussain MALIK Rameez AHMAD chandra prak.sh singh Centre for Biodiversity&Taxonomy Department of BotanyUniversity of KashmirSrinagar-190006J&KIndia Space Applications Centre Indian Space Research OrganizationAhmedabad-380015India

In an era of climate change,the availability of empirical data on alpine summit vegetation in the Himalaya is still *** we report the assessment of alpine summit flora in Gulmarg Wildlife Sanctuary,Kashmir *** employed a globally standardized Multi-Summit Approach and four spatially isolated summits spanning an elevation gradient of 210 m(between 3530-3740 m a.s.l.)from natural treeline to nival zone were *** of the summits was carried out in the year 2018 to collect floristic data together with records of soil temperature.A total of 142 vascular plant species were recorded in the sampled *** of the species were of herbaceous growth form and with perennial life *** on Raunkiaer’s life form,hemicryptophytes were the most dominant followed by therophytes and *** summit flora showed the predominance of narrow-endemic species,with broad-and non-endemics declining with elevation.A significant relationship between growth form,Raunkiaer’s life form,and the degree of endemism with elevation was *** species diversity and soil temperature showed a monotonic decrease with increasing ***,soil temperature clearly determined the magnitude of species diversity on the ***,based on floristic composition,the lowest summit had the highest dissimilarity with the rest of the *** present study employed globally standardized protocol to scientifically assess the patterns of plant diversity on the alpine mountain summits of Kashmir Himalaya,which in turn has wide implications towards long-term monitoring of climate change impact on alpine biodiversity in the rapidly warming Himalaya.

关键词： Alpine ecosystem Elevation gradient Endemism Himalaya Mountain summits

The IRAK-ERK-p67phox-Nox-2 axis mediates TLR4, 2-induced ROS production for IL-lp transcription and processing in monocytes

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Cellular & Molecular Immunology 2016年第6期13卷 747-763页

作者： Ankita singh Vishal singh Rajiv L. Tiwari Tulika chandra Ashutosh Kumar Madhu Dikshit Manoj K. Barthwal Pharmacology Division CSIR-Central Drug Research Institute B.S. 10/1 Sector 10 Sitapur Road Jankipuram Extension Lucknow 226031 Uttar Pradesh India Department of Transfusion Medicine and Blood Bank King George's Medical University Lucknow Uttar Pradesh India Department of Pathology King George's Medical University Lucknow Uttar Pradesh India

In monocytic cells, Toll-like receptor 4 （TLR4）- and TLR2-induced reactive oxygen species （ROS） cause oxidative stress and inflammatory response; however, the mechanism is not well understood. The present study investigated the role of interleukin-1 receptor-associated kinase （IRAK）, extracellular signal-regulated kinase （ERK）, p67phox and Nox-2 in TLR4- and TLR2-induced ROS generation during interleukin-1 beta （IL-1β） transcription, processing, and secretion. An IRAK1/4 inhibitor, U0126, PD98059, an NADPH oxidase inhibitor （diphenyleneiodonium （DPI））, and a free radical scavenger （N-acetyl cysteine （NAC））-attenuated TLR4 （lipopolysaccharide （LPS））- and TLR2 （Pam3csk4）-induced ROS generation and IL-1β production in THP-1 and primary human monocytes. An IRAK1/4 inhibitor and siRNA-attenuated LPS- and Pam3csk4-induced ERK-IRAK1 association and ERK phosphorylation and activity. LPS and Pam3csk4 also induced IRAK1/4-, ERK- and ROS-dependent activation of activator protein-1 （AP-1）, IL-1β transcription, and IL-1β processing because significant inhibition in AP-1 activity, IL-lp transcription, Pro- and mature IL-p expression, and caspase-1 activity was observed with PD98059, U0126, DPI, NAC, an IRAK1/4 inhibitor, tanshinone Ila, and IRAK1 siRNA treatment. IRAK-dependent ERK-p67phox interaction, p67phox translocation, and p67phox-Nox-2 interaction were observed. Nox-2 siRNA significantly reduced secreted IL-lp, IL-1β transcript, pro- and mature IL-1β expression, and caspase-1 activity indicating a role for Nox-2 in LPS- and Pam3csk4-induced IL-1β production, transcription, and processing. In the present study, we demonstrate that the TLR4- and TLR2-induced IRAK-ERK pathway cross-talks with p67phox-Nox-2 for ROS generation, thus regulating IL-1β transcription and orocessin; in monocvtic cells.

关键词： IL-1β IRAK monocytes ROS TLR

Crop productivity,soil health,and energy dynamics of Indian Himalayan intensified organic maize-based systems

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International Soil and Water Conservation Research 2021年第2期9卷 260-270页

作者： Raghavendra singh Subhash Babu R.K.Avasthe Gulab singh Yadav Anup Das K.P.Mohapatra Amit Kumar Vinod K.singh Puran chandra ICAR-National Organic Farming Research Institute GangtokSikkim737102India Division of Agronomy ICAR-Indian Agricultural Research InstituteNew Delhi110012India ICAR Research Complex for NEH Region Tripura CentreLembucherraTripura799210India ICAR-National Bureau of Plant Genetic Resources New Delhi110012India

The sustainability of prevailing maize-fallow system in rainfed ecosystems of the Eastern Himalayan region(EHR)of India is often questioned due to poor economic return and negative impact on soil ***,the six cropping systems,maize-fallow(M-F),maize t cowpea-rapeseed(M t C-Rs),maize t cowpea-buckwheat(M t C-Bw),maize t cowpea-barley(M t CeB),maize t cowpea-garden pea(M t C-GP)and maize t cowpeaerajmash(M t C-R)in the main plot and three soil moisture conservation measures,no-mulch(NM),maize stover mulch(MSM)and maize stover t weed biomass mulch(MSM t WBM)in sub-plot were evaluated for four consecutive years(2014-18)at a Research Farm in fixed plot *** indicated that cowpea co-culture with maize and inclusion of winter crop increased maize yield by 6.2e23.5%over *** the systems,the M t C-GP recorded the highest crop *** residual effect of MSM t WBM increased maize grain yield by 19.1%over *** of maize t cowpea-winter crops significantly improved the available N(3.2e12.9%),P(3.6 e12.7%),K(1.9e26.3%),organic carbon(9.2e16.8%),microbial biomass carbon-MBC(15.2e43.9%)and dehydrogenases-DHA(17.2e42.3%)in soil at 0e15 cm depth as compared to *** M t C-GP also recorded maximum net return(US$2460 ha1),benefit:cost(B:C)ratio(2.86)and energy use efficiency(7.9%).The MSM t WBM recorded higher net return(US$1680 ha1)and B:C ratio(2.46)over ***,cowpea t maize-garden pea(M t C-GP)along with the application of MSM t WBM is a sustainable production practice to intensify the organically managed maize-fallow system in rainfed regions of the EHR of India and other similar ecosystems.

关键词： Crop intensification Energy productivity Gross return Soil health Water productivity

PVC Membrane Selective Electrode for Determination of Cadmium(Ⅱ) Ion in Chocolate Samples

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Chinese Journal of Chemical Engineering 2014年第4期22卷 480-488页

作者： Sulekh chandra Deepshikha singh Anjana Sarkar Department of Chemistry Zakir Husain Delhi College University of Delhi School of Applied Sciences Netaji Subhas Institute of Technology University of Delhi

Benzil bis(carbohydrazone)(BBC) is prepared and explored as new N N Schiff's base, which plays the role of an excellent ion carrier in the construction of a Cd(II) ion membrane sensor. The tris(2-ethylhexyl) phosphate best performance corresponds to a membrane composition of 30% poly(vinyl chloride), 65%(TEHP), 3.5% BBC and 1.5% tetradodecyl-ammoniumtetrakis(4-chlorophenyl) borate(ETH 500). This sensor shows very good selectivity and sensitivity towards cadmium ion over a wide variety of cations, including alkali, alkaline earth, transition and heavy metal ions. The effect of membrane composition, selectivity, pH and influence of additive on the response properties of electrode were investigated. The response mechanism was discussed in the view of UV-spectroscopy. The electrode exhibits a Nernstian behavior(with slope of 29.7 mV per decade) over a very wide concentration range from 1.0×10?1 to 1.0×10?8 mol·L?1 with a detection limit of 3.2×10?8 mol·L?1. It shows rela-tively fast response time in whole concentration range(<8 s) and can be used for at least 10 weeks in the pH range of 2.0-9.0. The proposed sensor is successfully used for the determination of cadmium in different chocolate sam-ples and as indicator electrode in titration with ethylene diamine tetraacetate(EDTA).

关键词： benzil bis(carbohydrazone) ionophore Cd(II) ion membrane sensor selectivity coefficient additive

Novel synthesis and characterization of CuO nanomaterials:Biological applications

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Chinese Chemical Letters 2014年第12期25卷 1615-1619页

作者： Ayekpam Bimolini Devi Dinesh singh Moirangthem Narayan chandra Talukdar M.Damayanti Devi N.Rajen singh Meitram Niraj Luwang Department of Chemistry Manipur University Institute of Bioresources and Sustainable Development Department of Biotechnology Department of Life Sciences Manipur University Chemical Engineering and Process Development National Chemical Laboratory

CuO nanoparticles were synthesized at a relatively low temperature（80 ℃） for 2 h using polyethylene glycol-glycerol mixture which acts as a capping agent.A detailed characterization of the synthesized nanomaterials were performed utilizing X-ray diffraction（XRD）,infra-red spectroscopy（IR）,thermogravimetric analysis（TGA-DTA）,transmission electron microscopy（TEM）,photoluminescence（PL） by studying its crystalline phase,vibrational mode,thermal analysis,morphology and photoluminescence *** effect of annealing on the as-prepared nanoparticles were studied and compared with their corresponding bulk *** synthesized nanoparticles have been screened for in vitro cytotoxicity（1C_（50）） studies against the human cervical adenocarcinoma cell line（HeLa） using WITT assay *** as-prepared nanoparticle inhibits the proliferation of this HeLa *** standard disc diffusion method has been used to study the antibacterial activity of the samples against the human pathogenic bacteria Escherichia coli（MTCC 729）,Proteus mirabilis（MTCC 425） and Klebsiella pneumoniae ***（MTCC 432）.The results have been compared with the positive control antibiotic *** synthesized nanoparticles would provide a potential alternative to antibiotics for controlling some of the microorganisms causing urolithiasis.

关键词： CuO nanoparticles Annealing HeLa cell lines Cytotoxicity Antibacterials

Analysis and Predictions of Spread, Recovery, and Death Caused by COVID-19 in India

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Big Data Mining and Analytics 2021年第2期4卷 65-75页

作者： Rajani Kumari Sandeep Kumar Ramesh chandra Poonia Vijander singh Linesh Raja Vaibhav Bhatnagar Pankaj Agarwal Department of Information Technology and Computer Application JECRC UniversityJaipurRajasthan 303905India Bangalore Karnataka 560029India with Amity University Rajasthan JaipurRajasthan 303002India University Jaipur Rajasthan 303007India

The novel coronavirus outbreak was first reported in late December 2019 and more than 7 million people were infected with this disease and over 0.40 million worldwide lost their lives. The first case was diagnosed on30 January 2020 in India and the figure crossed 0.24 million as of 6 June 2020. This paper presents a detailed study of recently developed forecasting models and predicts the number of confirmed, recovered, and death cases in India caused by COVID-19. The correlation coefficients and multiple linear regression applied for prediction and autocorrelation and autoregression have been used to improve the accuracy. The predicted number of cases shows a good agreement with 0.9992 R-squared score to the actual values. The finding suggests that lockdown and social distancing are two important factors that can help to suppress the increasing spread rate of COVID-19.

关键词： COVID-19 regression correlation machine learning prediction

Low-cost high entropy alloy(HEA)for high-efficiency oxygen evolution reaction(OER)

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Nano Research 2022年第6期15卷 4799-4806页

作者： Lalita sharma Nirmal Kumar Katiyar Arko Parui Rakesh Das Ritesh Kumar chandra Sekhar Tiwary Abhisek K.singh Aditi Halder Krishanu Biswas School of Basic Sciences Advanced Materials Research Centre(AMRC)Indian Institute of Technology Mandi(H.P)KamandMandi 175005India Department of Materials Science and Engineering Indian Institute of Technology KanpurKanpur 208016India School of Engineering London South Bank UniversityLondonSE10 AAUK Materials Research Centre Indian Institute of ScienceBangalore 560012India Metallurgical and Materials Engineering Indian Institute of Technology KharagpurKharagpur 382355India

Oxygen evolution reaction(OER)is the key step involved both in water splitting devices and rechargeable metal-air batteries,and hence,there is an urgent need for a stable and low-cost material for efficient *** the present investigation,Co-Fe-Ga-NiZn(CFGNZ)high entropy alloy(HEA)has been utilized as a low-cost electrocatalyst for ***,after cyclic voltammetry activation,CFGNZ-nanoparticles(NPs)are covered with oxidized surface and form high entropy(oxy)hydroxides(HEOs),exhibiting a low overpotential of 370 mV to achieve a current density of 10 mA/cm^(2)with a small Tafel slope of 71 mV/*** alloy has higher electrochemical stability in comparison to state-of-the art RuO2 electrocatalyst as no degradation has been observed up to 10 h of *** electron microscopy(TEM)studies after 10 h of long-term chronoamperometry test showed no change in the crystal structure,which confirmed the high stability of *** density functional theory(DFT)based calculations show that the closeness of d(p)-band centers to the Fermi level(EF)plays a major role in determining active *** work highlights the tremendous potential of CFGNZ HEA for OER,which is the primary reaction involved in water splitting.

关键词： high entropy alloy cyclic voltammetry activation oxygen evolution reaction electrocatalyst nanocrystalline catalyst

Feature-based augmentation and classification for tabular data

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CAAI Transactions on Intelligence Technology 2022年第3期7卷 481-491页

作者： Balachander Sathianarayanan Yogesh chandra singh Samant Prahalad S.Conjeepuram Guruprasad Varshin B.Hariharan Nirmala Devi Manickam Amrita School of Engineering Amrita Vishwa VidyapeethamCoimbatoreIndia

Generating synthetic samples for a tabular data is a strenuous *** of the time,the columns(features)in the dataset may not follow an ideal distribution *** objective of the proposed algorithm,Histogram Augmentation Technique(HAT),is to generate a dataset whose distribution is similar to that of the original *** augmentation is achieved based on individual columns,where separate algorithms are designed for continuous and discrete *** also use features of an object for *** humans make a judgement,they notice prominent features and characterise the perceived ***,conventional Machine Learning classifiers are designed and trained on the basis of *** the features as the basis for classification,Feature Importance Classifier(FIC)has been attempted in this *** treats every feature independent of each other,and ranks the features based on its dependence with the classified *** has been found that the FIC has the highest accuracy and has improved the accuracy by 5.54%on average,when it's compared to other *** suggested algorithms have been experimented on five datasets and compared with two augmentation algorithms and four state-of-the-art ML classification algorithms.

关键词： function classifier columns

Review on Pressure Sensors for Structural Health Monitoring

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Photonic Sensors 2017年第4期7卷 294-304页

作者： Samiksha SIKARWAR Satyendra shakti singh Bal chandra YADAV Department of Applied Physics Babasaheb Bhimrao Ambedkar University Lucknow 226025 India

This paper reports the state of art in a variety of pressure and the detailed study of various matrix based pressure sensors. The performances of the bridges, buildings, etc. are threatened by earthquakes, material degradations, and other environmental effects. Structural health monitoring （shM） is crucial to protect the people and also for assets planning. This study is a contribution in developing the knowledge about self-sensing smart materials and structures for the construction industry. It deals with the study of self-sensing as well as mechanical and electrical properties of different matrices based on pressure sensors. The relationships among the compression, tensile strain, and crack length with electrical resistance change are also reviewed.

关键词： Strain crack detection self-sensing smart materials cement pressure sensor