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      • KCI등재

        Histological and biochemical study of the superficial abdominal fascia and its implication in obesity

        Arvind Kumar Pandey,Pramod Kumar,Srinivas Kodavoor Aithal,Sushma R. Kotian,Honnegowda Thittamaranahalli,Hemalatha Bangera,Keerthana Prasad,Anne D. Souza 대한해부학회 2016 Anatomy & Cell Biology Vol.49 No.3

        The advancement of liposculpturing and fascial flaps in reconstructive surgery has renewed interest in the superficial fascia of abdomen. Its histological and biochemical composition may play a vital role in maintaining strength and elasticity of the fascia. Hence, study of abdominal fascia for the elastic, collagen, and hydroxyproline contents is desirable to understand asymmetrical bulges and skin folds and in improving surgical treatment of obesity. Samples of superficial fascia were collected from of upper and lower abdomen from 21 fresh cadavers (15 males and 6 females). Samples were stained using Verhoeff-Van Gieson stain. Digital images of superficial fascia were analyzed using TissueQuant software. The samples were also subjected to hydroxyproline estimation. The superficial fascia was formed by loosely packed collagen fibers mixed with abundant elastic fibers and adipose tissue. Elastic contents and collagen contents of superficial fascia were significantly more in the upper abdomen than that in the lower abdomen in males. Hydroxyproline content of superficial fascia of upper abdomen was significantly more than that of lower abdomen in both males and females. The elastic, collagen and hydroxyproline contents of superficial fascia of upper abdomen were higher compared to the lower abdomen. This may be a reason for asymmetric bulging over abdomen and more sagging fold of skin in the lower abdomen than in the upper abdomen. This study may therefore be helpful in finding new ways to manage obesity and other body contour deformities.

      • Reclassification of Bacillus beijingensis Qiu et al. 2009 and Bacillus ginsengi Qiu et al. 2009 as Bhargavaea beijingensis comb. nov. and Bhargavaea ginsengi comb. nov. and emended description of the genus Bhargavaea

        Verma, Pankaj,Pandey, Prashant Kumar,Gupta, Arvind Kumar,Seong, Chi Nam,Park, Seong Chan,Choe, Han Na,Baik, Keun Sik,Patole, Milind Shivaji,Shouche, Yogesh Shreepad Microbiology Society 2012 International journal of systematic and evolutiona Vol.62 No.10

        <P>We have carried out a polyphasic taxonomic characterization of <I>Bacillus beijingensis</I> DSM 19037<SUP>T</SUP> and <I>Bacillus ginsengi</I> DSM 19038<SUP>T</SUP>, which are closely related phylogenetically to <I>Bhargavaea cecembensis</I> LMG 24411<SUP>T</SUP>. All three strains are Gram-stain-positive, non-motile, moderately halotolerant and non-spore-forming. 16S rRNA gene sequence analyses showed that the strains constituted a coherent cluster, with sequence similarities between 99.7 and 98.7 %. The percentage similarity on the basis of amino acid sequences deduced from partial <I>gyrB</I> gene nucleotide sequences of these three type strains was 96.1-92.7 %. Phylogenetic trees based on the 16S rRNA gene and GyrB amino acid sequences, obtained by using three different algorithms, were consistent and showed that these three species constituted a deeply rooted cluster separated from the clades represented by the genera <I>Bacillus</I>, <I>Planococcus</I>, <I>Planomicrobium</I>, <I>Sporosarcina</I>, <I>Lysinibacillus</I>, <I>Viridibacillus</I>, <I>Kurthia</I> and <I>Geobacillus</I>, supporting their placement in the genus <I>Bhargavaea</I>. All three type strains have menaquinone MK-8 as the major respiratory quinone and showed similar fatty acid profiles. The main polar lipids present in the three type strains were diphosphatidylglycerol and phosphatidylglycerol, and the three strains showed peptidoglycan type A4α with l-lysine as the diagnostic diamino acid. The DNA G<I>+</I>C contents of <I>Bacillus beijingensis</I> DSM 19037<SUP>T</SUP>, <I>Bacillus ginsengi</I> DSM 19038<SUP>T</SUP> and <I>Bhargavaea cecembensis</I> LMG 24411<SUP>T</SUP> were 53.1, 50.2 and 53.7 mol%, respectively. The level of DNA-DNA hybridization among the three strains was 57-39 %, indicating that they are members of different species of the genus <I>Bhargavaea</I>. The phenotypic data are consistent with the placement of these three species in a single genus and support their differentiation at the species level. On the basis of these data, we have emended the description of the genus <I>Bhargavaea</I> and propose the reclassification of <I>Bacillus beijingensis</I> and <I>Bacillus ginsengi</I> to the genus <I>Bhargavaea</I>, as <I>Bhargavaea beijingensis</I> comb. nov. (type strain ge10<SUP>T</SUP> = DSM 19037<SUP>T</SUP> = CGMCC 1.6762<SUP>T</SUP>) and <I>Bhargavaea ginsengi</I> comb. nov. (type strain ge14<SUP>T</SUP> = DSM 19038<SUP>T</SUP> = CGMCC 1.6763<SUP>T</SUP>).</P>

      • Genetic Polymorphisms of GSTM1 and GSTT1 Genes in Delhi and Comparison with other Indian and Global Populations

        Sharma, Anita,Pandey, Arvind,Sardana, Sarita,Sehgal, Ashok,Sharma, Joginder K. Asian Pacific Journal of Cancer Prevention 2012 Asian Pacific journal of cancer prevention Vol.13 No.11

        The glutathione S-transferases (GSTs) are involved in the metabolism of many xenobiotics, including an array of environmental carcinogens, pollutants, and drugs. Genetic polymorphisms in these genes may lead to inter-individual variation in susceptibility to various diseases. In the present study, GSTM1 and GSTT1 polymorphisms were analysed using a multiplex polymerase chain reaction in 500 normal individuals from Delhi. The frequency of individuals with GSTM1 and GSTT1 null genotypes were 168 (33.6%) and 62 (12.4%) respectively, and 54(10.8%) were having homozygous null genotype for both the genes GSTM1 and GSTT1simultaneously. The studied population was compared with reported frequencies from other neighbouring state populations, as well as with those from other ethnic groups; Europeans, Blacks, and Asians. The prevalence of homozygous null GSTM1 genotype is significantly higher in Caucasians and Asians as compared to Indian population. The frequency of GSTT1 homozygous null genotypes is also significantly higher in blacks and Asians. We believe that due to large number of individuals in this study, our results are reliable estimates of the frequencies of the GSTM1, GSTT1 in Delhi. It would provide a basic database for future clinical and genetic studies pertaining to susceptibility and inconsistency in the response and/or toxicity to drugs known to be the substrates for GSTs.

      • KCI등재후보

        Spatio-temporal assessment of urban environmental conditions in Ranchi Township, India using remote sensing and Geographical Information System techniques

        Amit Kumar,Arvind Chandra Pandey 서울시립대학교 도시과학연구원 2013 도시과학국제저널 Vol.17 No.1

        The present study investigates the status of the urban environment in Ranchi, a rapidly growing city in the eastern part of India. The various environmental indicators viz.,ambient air quality, aerosol concentration, ambient noise level and urban green space were analysed in a spatio-temporal framework by employing geoinformatics. The ambient air quality measurement indicates a high concentration of Suspended Particulate Matter (>300μg/m3) and Respirable Suspended Particulate Matter (>200μg/m3), as well as low level concentrations of sulphur dioxide (<60μg/m3) and nitrogen dioxide (<60μg/m3) in Ranchi Township. The concentration of ambient air pollutants was significantly higher in Ranchi as compared to other major urban centres of Jharkhand. The spatial distribution of aerosol optical depth (AOD) indicated variation with high concentrations at transportation junctions (0.30–0.35% at 340 nm) and road junctions (>0.30%at 340 nm), and lowconcentrations (<0.22% at 340 nm) at planned residential areas. The AOD concentration in Ranchi was lower (<0.35% at 340 nm) compared to the Patratu coal mining-cum-industrial region (>0.8% at 340 nm). The majority of the locations in Ranchi exhibited ambient noise levels above the prescribed limits with an increasing trend from 2005 to 2010. The core urban area was the noisier one (>65 dB(A)) when compared to the peripheral areas in the city. The spatial assessment of urban green space derived fromWorldView-II satellite data indicated the existence of adequate green spaces (12.7%) within Ranchi Township, although urban cores are largely devoid of green space due to dense built-up land. The study exhibited that vegetation significantly contributes in noise attenuation and a reduction in aerosol concentration.

      • KCI등재

        Spatio-temporal variability of monsoon precipitation and their effect on precipitation triggered landslides in relation to relief in Himalayas

        Kashyap Rahul,Pandey Arvind Chandra,Parida Bikash Ranjan 대한공간정보학회 2021 Spatial Information Research Vol.29 No.6

        Orography of Himalaya governs the regional weather system and monsoon of Indian sub-continent. The intense persistent precipitation in the form of rainfall during monsoon season causes landslides which are the most frequent naturally occurring hazards in the Himalaya. This study attempts to investigate the spatio-temporal variability of precipitation and their effect on precipitation triggered landslides during monsoon season (June–September) in relation to relief in Himalayan region by utilizing satellitederived precipitation products (GPM) over the span of 2000–2018 in addition to NASA Landslide Viewer, Global Landslide Catalog and Global Risk Data Platform data for landslides and ASTER DEM for elevation. The results exhibit that the Eastern Himalayas received the highest amount of precipitation of 2385 mm with intensity of 19.5 mm/day, followed by the Central Himalayas with 1860 mm and intensity of 17.5 mm/day and the least in the Western Himalayas with 1400 mm and intensity of 15 mm/day, respectively. The monsoon precipitation in the lower elevations (below 2600 m) are mostly responsible for causing a vast majority of the precipitation induced landslide events with a maximum of 68.66% in the Central Himalayas followed by the Western Himalayas at 62.23% and the least in the Eastern Himalayas at 41.16%. The overall accumulated precipitation and intensity during monsoon season and landslide distribution were strongly correlated with relief pattern. This comprehensive study signifies how relief regulated the occurrences of landslides in monsoon season and recommends vegetation cover and least interference of human-induced land use to alleviate the landslides.

      • KCI등재

        Multiple indices based drought analysis by using long term climatic variables over a part of Koel river basin, India

        Stuti Chaudhary,Arvind Chandra Pandey 대한공간정보학회 2020 Spatial Information Research Vol.28 No.2

        The present study demonstrates changes in vegetation pattern and climatic variability in past years in the parts of Koel basin in Jharkhand state of India by considering the spatial climatic variability, NDVI anomaly and satellite based drought indices viz Vegetation Condition Index (VCI), Temperature Condition Index (TCI) and Vegetation Health Index (VHI). Least square statistical method has been used for assessment of long term climatic fluctuation of major four climatic parameters viz maximum temperature of summer season, minimum temperature of winter season, rainfall of monsoon season, and solar radiation of Rabi and kharif season. Analysis of climate extremes has been done for 26 locations in the study area and then interpolated spatially in Geographical Information System platform. Long term NDVI anomaly shows adverse effect of climate extreme in past 20 years in the study area. The climatic variability exhibits that average maximum temperature during 1979–2017 fluctuates with an increase of 0.50–0.81 C contrary to a decrease of 0.32–0.15 C in various parts of study area. Similarly rainfall fluctuates with a decrease of 26–90 mm contrary to an increase of 19–230 mm. Drought prone zones as delineated from spatial overlaying map of VCI, TCI and VHI indicated value from 23 to 55. Major part of the study area severely affected by drought facing water scarcity and mediocre vegetation condition. These areas need proper planning and soil moisture management to overcome the recurrent drought conditions perceived in upcoming years.

      • KCI등재

        Estimating thickness of Zemu glacier, Sikkim (India) using ice-flow velocity approach: a geoinformatics based perspective

        Shubham Bhattacharjee,Arvind Chandra Pandey 대한공간정보학회 2023 Spatial Information Research Vol.31 No.5

        In the present scenario of warming climate, overall health of the glaciers along with sea level rise/fall are directly impacted by glacial dynamics. However due to inaccessible high altitude regions and devastating climate, the in-situ observations are hindered via field excursions. The present study incorporated usability of geographical information system based ice-flow velocity approach using glacier surface velocity and slope for estimating thickness of Zemu glacier in Sikkim. The study revealed thickness of 80 ± 9.6 m to 160 ± 19.2 m near snout followed by 240 ± 28.8 m to 320 ± 38.4 m in upper reaches of accumulation zone of Zemu glacier. However due to gentle slope, thickness ranged between 320 ± 38.4 m and > 400 ± 49.2 m (~ 418 ± 50.16 m) was observed in the central trunk or middle reaches of the glacier. An uncertainty of 12% was observed while calculation the glacier thickness. Relationship between glacier velocity and depth has also been established which has shown inverse characteristics due to variability of bed topography and drag effects. Proper validation of results for each study with existing field observations and literatures depicted the utility and correctness of the present study via satellite based observations.

      • KCI등재

        MODIS based forest fire hotspot analysis and its relationship with climatic variables

        Binita Kumari,Arvind Chandra Pandey 대한공간정보학회 2020 Spatial Information Research Vol.28 No.1

        Global warming caused an increase of forest fire events worldwide causing widespread forest degradation. Geospatial techniques aid in analysing climatic parameters to examine their relationship with forest fire. The research analyses time series forest fire events during 2001–2017 to deduce forest fire hotspots in PTR. MODIS forest fire spots was converted into points and hotspot analysis tool was used to map hotspot. The forest fire incidences were analysed with reference to climatic parameters viz. precipitation, solar radiation (SR), mean temperature and relative humidity (RH). The average RH was highest in May (0.69) and lowest in March (0.18), whereas high temperature with low RH was observed till the end of April. The SR was highest in April (27.24 MJ/m2 ) whereas lowest in May (15.68 MJ/m2 ). Satellite based land surface temperature (LST) was compared with fire spot and found that area having high temperature lies under high forest fire zone. The highest LST observed was 49.52 C whereas the lowest was 29.40 C. The study revealed that most forest fires occurred during March–April and total forest fire events was 1212. For accuracy assessment an analysis between fire pixels and post fire data from Landsat was shown, which showed that same areas were under forest fires during 2001–2017.

      • KCI등재

        Forest health estimation in Sholayar Reserve Forest, Kerala using AVIRIS-NG hyperspectral data

        Shahbaz Ahmad,Arvind Chandra Pandey,Amit Kumar,Nikhil V. Lele,Bimal K. Bhattacharya 대한공간정보학회 2020 Spatial Information Research Vol.28 No.1

        The present study deals with analyzing forest health, its parameters, and suitability of hyperspectral data for vegetation health-related studies. Sholayar reserve forest in Kerala has a huge reserve of equatorial moist evergreen forest and demands preservation in every respect. Due to increased human interferences coupled with possible climate change, its health is undergoing a stage of deterioration. Stress levels in the canopy were assessed using a number of stress-related pigments. Detailed study of vegetation response to canopy leaf pigments have been carried out in the study. Airborne Visible Infrared Imaging Spectrometer Next Generation (AVIRIS-NG) data provides immense possibilities to study a number of stress-related pigments like anthocyanin, carotenoid, lignin, chlorophylla, b etc. Dominant species in these forests are Holigarna arnottiana, Grevillea robusta, Grewia tiliifolia, Syzygium cumini, Alstonia Scholaris, Cinnamomum verum, Artocarpus heterophyllus, Bischofia javanica, Mangifera indica, Bombax ceiba, Anogeissus latifolia, Terminalia paniculata etc. Apart from luscious natural vegetation, plantation of teak (Tectona Grandis), rubber (Hevea brasiliensis), tea (Camellia sinensis), Coffee (Coffee Arabica), Palm-Oil tree (Elaeis guineensis) etc. also exists. Field data pertaining to one of the selected pigments was correlated with remotely sensed pigment estimates. Correlation of field measured chlorophyll concentration and EVI showed R2 = 0.421. Similarly, the anthocyanin index showed a correlation of R2 = 0.319. In the Sholayar Reserve Forest (493.0 km2 ) an area of 141.0 km2 was found to be in a healthy state. Whereas about 218.0 km2 of area exhibit moderately healthy condition and 77.0 km2 area was in the least healthy state.

      • KCI등재

        Change detection of landscape connectivity arisen by forest transformation in Hazaribagh wildlife sanctuary, Jharkhand (India)

        Gupta Saurabh Kumar,Pandey Arvind Chandra 대한공간정보학회 2020 Spatial Information Research Vol.28 No.4

        Forest land conversion is the primary driver of biodiversity decline worldwide. Hazaribagh wildlife sanctuary is a region of rich biodiversity in which forests and wildlife are deteriorating fast. The prime reasons for forest degradation and wildlife loss are the landscape connectivity weakening and forest transformation. In the present work, landscape connectivity and forest transformation relationships were analyzed in a spatio-temporal domain. The forest patches as a group of spectral abundance were extracted using the endmember retrieval technique. The connectivity analysis was performed by using a connectivity index in the extracted forest patches. Forest transformation is calculated using a post-classification change detection strategy for five types of forest cover during the four phases of the year (1992–2005, 2005–2010, 2010–2017 and 1992–2017). The forest cover was measured using a forest canopy density model using spectral indices. The landscape connectivity of 80–100% exhibit a rapid increase of 38% in 2005 from 1992 contrary to a 13% decrease in 2010 and 2017. The 23% loss of forest cover from 2005 to 2010 and a 17% loss in 2010–2017 phase of forest transformation weakened the forest connectivity. Forest cover, having a density higher than 40% was more vulnerable to degradation and landscape connectivity loss. The result shows that such declines of forest cover and landscape connectivity will reduce the genetic diversity in the forest, especially the mammalian population.

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