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  1. Article ; Online: Venus nightside surface temperature

    D. Singh

    Scientific Reports, Vol 9, Iss 1, Pp 1-

    2019  Volume 5

    Abstract: Abstract First global map of Venus nightside surface temperature using Akatsuki infrared measurements reveals hot Venus surface with an average surface temperature of about 698 K. Surface temperatures do not show any significant variation with changing ... ...

    Abstract Abstract First global map of Venus nightside surface temperature using Akatsuki infrared measurements reveals hot Venus surface with an average surface temperature of about 698 K. Surface temperatures do not show any significant variation with changing latitudes because only a small amount (~2.5%) of solar energy reaches the surface. Surface temperatures are relatively colder at higher altitude regions as compared to lower altitude regions. However, the major temperature variation on Venus surface is governed by various lithospheric heat transport mechanisms. On a global scale, surface temperatures show a spatial variation of about 230 K.
    Keywords Medicine ; R ; Science ; Q
    Language English
    Publishing date 2019-02-01T00:00:00Z
    Publisher Nature Publishing Group
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Morphometric, molecular characterization and management of Callosobruchus chinensis

    D SINGH / T BOOPATHI

    The Indian Journal of Agricultural Sciences, Vol 92, Iss

    2022  Volume 3

    Abstract: Pulse beetle, Callosobruchus chinensis L. (Coleoptera: Chrysomelidae) is the most economic insect pest of pulse and can cause huge quantitative losses and also decreases the nutritional value of stored products. The morphological and molecular ... ...

    Abstract Pulse beetle, Callosobruchus chinensis L. (Coleoptera: Chrysomelidae) is the most economic insect pest of pulse and can cause huge quantitative losses and also decreases the nutritional value of stored products. The morphological and molecular characterization of pulse beetles was determined and different non-edible oils against C. chinensis were assessed at ICAR-National Bureau of Plant Genetic Resources, New Delhi during 2019–20. Eggs of C. chinensis were 264.74±3.716 μm in width and 452.33±4.531 μm in length. The final instar larva of C. chinensis was 1703.12±4.692 μm in width and 3062.19±33.119 μm in length. The width and length of the pupae was 1696.09±5.589 μm and 3281.60±73.641 μm, respectively. The length of the adult body was 2520.85±23.278 μm for females and 2469.70±29.570 μm for males with a width of 1426.78±41.334 μm for females and 1456.54±23.606 μm for males. Both C. maculatus and C. chinensis got amplified by COI primer. A band of approximately 710 bp was obtained from both pulse beetles (C. maculatus and C. chinensis). DNA barcode helps in identification of pests at all life stages. Hundred per cent of egg mortality, larval mortality and adult mortality were reported in all non-edible oils such as Pongamia glabra L., Hydnocarpus wightiana Blume, Madhuca longifolia Konig, Callophyllum inophyllum L. and Azadirachta indica A. Juss. Similarly, all non-edible oils had ovipositional deterrence. To summarize, these oils can be used for the management of pulse beetles during storage.
    Keywords DNA barcode ; Morphology ; Mortality ; Non-edible oils ; Pulses ; Agriculture ; S
    Subject code 590
    Language English
    Publishing date 2022-03-01T00:00:00Z
    Publisher Indian Council of Agricultural Research
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Spatial helicity response metric to quantify particle size and turbidity of heterogeneous media through circular polarization imaging

    Michael D. Singh / I. Alex Vitkin

    Scientific Reports, Vol 13, Iss 1, Pp 1-

    2023  Volume 12

    Abstract: Abstract Backscattered circularly polarized light from turbid media consists of helicity-flipped and helicity-preserved photon sub-populations (i.e., photons of perpendicular and parallel circular handedness). Their intensities and spatial distributions ... ...

    Abstract Abstract Backscattered circularly polarized light from turbid media consists of helicity-flipped and helicity-preserved photon sub-populations (i.e., photons of perpendicular and parallel circular handedness). Their intensities and spatial distributions are found to be acutely sensitive to average scatterer size and modestly sensitive to the scattering coefficient (medium turbidity) through an interplay of single and multiple scattering effects. Using a highly sensitive intensified-CCD camera, helicity-based images of backscattered light are captured, which, with the aid of corroborating Monte Carlo simulation images and statistics, enable (1) investigation of subsurface photonic pathways and (2) development of the novel ‘spatial helicity response’ metric to quantify average scatterer size and turbidity of tissue-like samples. An exciting potential application of this work is noninvasive early cancer detection since malignant tissues exhibit alterations in scatterer size (larger nuclei) and turbidity (increased cell density).
    Keywords Medicine ; R ; Science ; Q
    Subject code 535
    Language English
    Publishing date 2023-02-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Characterization of ambarella (Spondias dulcis) genotypes based on morphological and physio-biochemical quality attributes

    M P DEVI / S R SINGH / R K D SINGH / M CHANCHAN / G KHANGJARAKPAM

    The Indian Journal of Agricultural Sciences, Vol 94, Iss

    2024  Volume 1

    Abstract: Survey and characterization of ambarella found in valley region of Manipur was conducted during 2022–23 to identified superior genotypes for yield and various physio-biochemical characters having sweeter taste and high yield traits. Genotype P7 gave ... ...

    Abstract Survey and characterization of ambarella found in valley region of Manipur was conducted during 2022–23 to identified superior genotypes for yield and various physio-biochemical characters having sweeter taste and high yield traits. Genotype P7 gave maximum yield (147.10 kg/tree) and P19 has maximum fruit weight (158.50 g), length (7.09 cm) and width (6.65 cm). However, genotypes P17 has highest TSS (170Brix), total sugar (6.84%), P7 highest vitamin C (40.81 mg/100 g) and P19 gave highest vitamin A content (0.62 mg/100 g). Hence, genetic diversity of ambarella was observed among the selected genotypes in valley region of Manipur for screening elite genotypes for the future.
    Keywords Ambarella ; Morphological ; Quality ; Variability ; Agriculture ; S
    Language English
    Publishing date 2024-01-01T00:00:00Z
    Publisher Indian Council of Agricultural Research
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: Editorial

    Roozbeh Rajabi / Amin Zehtabian / Keshav D. Singh / Alireza Tabatabaeenejad / Pedram Ghamisi / Saeid Homayouni

    Frontiers in Environmental Science, Vol

    Hyperspectral imaging in environmental monitoring and analysis

    2024  Volume 11

    Keywords hyperspectral imaging ; environmental monitoring ; image processing ; machine learning ; remote sensing ; Environmental sciences ; GE1-350
    Language English
    Publishing date 2024-01-01T00:00:00Z
    Publisher Frontiers Media S.A.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: Effect of foliar application of culture filtrates on phylloplane mycoflora of mustard

    D. Singh

    Acta Mycologica, Vol 22, Iss 2, Pp 185-

    2014  Volume 188

    Abstract: The number of phylloplane fungi/cm2 leaf varied insignificantly on mustard leaves treated with the metabolities of Cladosporium cladosporioides and Alternaria brassicae; in the beginning but decreased significantly after about a month. C. cladosporioides, ...

    Abstract The number of phylloplane fungi/cm2 leaf varied insignificantly on mustard leaves treated with the metabolities of Cladosporium cladosporioides and Alternaria brassicae; in the beginning but decreased significantly after about a month. C. cladosporioides, C. herbarum, A. pullulans and E. nigrum were tolerant to ihe metabolites used while T. viride was most susceptible.
    Keywords Biology (General) ; QH301-705.5
    Language English
    Publishing date 2014-08-01T00:00:00Z
    Publisher Polish Botanical Society
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: Machine-learning- and deep-learning-based streamflow prediction in a hilly catchment for future scenarios using CMIP6 GCM data

    D. Singh / M. Vardhan / R. Sahu / D. Chatterjee / P. Chauhan / S. Liu

    Hydrology and Earth System Sciences, Vol 27, Pp 1047-

    2023  Volume 1075

    Abstract: The alteration in river flow patterns, particularly those that originate in the Himalaya, has been caused by the increased temperature and rainfall variability brought on by climate change. Due to the impending intensification of extreme climate events, ... ...

    Abstract The alteration in river flow patterns, particularly those that originate in the Himalaya, has been caused by the increased temperature and rainfall variability brought on by climate change. Due to the impending intensification of extreme climate events, as predicted by the Intergovernmental Panel on Climate Change (IPCC) in its Sixth Assessment Report, it is more essential than ever to predict changes in streamflow for future periods. Despite the fact that some research has utilised machine-learning- and deep-learning-based models to predict streamflow patterns in response to climate change, very few studies have been undertaken for a mountainous catchment, with the number of studies for the western Himalaya being minimal. This study investigates the capability of five different machine learning (ML) models and one deep learning (DL) model, namely the Gaussian linear regression model (GLM), Gaussian generalised additive model (GAM), multivariate adaptive regression splines (MARSs), artificial neural network (ANN), random forest (RF), and 1D convolutional neural network (1D-CNN), in streamflow prediction over the Sutlej River basin in the western Himalaya during the periods 2041–2070 (2050s) and 2071–2100 (2080s). Bias-corrected data downscaled at a grid resolution of 0.25 ∘ × 0.25 ∘ from six general circulation models (GCMs) of the Coupled Model Intercomparison Project Phase 6 GCM framework under two greenhouse gas (GHG) trajectories (SSP245 and SSP585) were used for this purpose. Four different rainfall scenarios ( R 0 , R 1 , R 2 , and R 3 ) were applied to the models trained with daily data (1979–2009) at Kasol (the outlet of the basin) in order to better understand how catchment size and the geo-hydromorphological aspects of the basin affect runoff. The predictive power of each model was assessed using six statistical measures, i.e. the coefficient of determination ( R 2 ), the ratio of the root mean square error to the standard deviation of the measured data (RSR), the mean absolute error (MAE), the ...
    Keywords Technology ; T ; Environmental technology. Sanitary engineering ; TD1-1066 ; Geography. Anthropology. Recreation ; G ; Environmental sciences ; GE1-350
    Subject code 333
    Language English
    Publishing date 2023-03-01T00:00:00Z
    Publisher Copernicus Publications
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: Uveal melanoma

    Tomas Radivoyevitch / Emily C Zabor / Arun D Singh

    PLoS ONE, Vol 16, Iss 5, p e

    Long-term survival.

    2021  Volume 0250939

    Abstract: Purpose The long-term survival of uveal melanoma patients in the US is not known. We compared long-term survival estimates using relative survival, excess absolute risk (EAR), Kaplan-Meier (KM), and competing risk analyses. Setting Population based ... ...

    Abstract Purpose The long-term survival of uveal melanoma patients in the US is not known. We compared long-term survival estimates using relative survival, excess absolute risk (EAR), Kaplan-Meier (KM), and competing risk analyses. Setting Population based cohort study. Study population Pooled databases from Surveillance, Epidemiology, and End Results data (SEER, SEER-9+SEER-13+SEER-18). Main outcome measure Overall Survival (OS), Metastasis Free Survival (MFS) and relative survival, computed directly or estimated via a model fitted to excess mortality. Results There were 10678 cases of uveal melanoma spanning a period of 42 years (1975-2016). The median age at diagnosis was 63 years (range 3-99). Over half the patients were still alive at the end of 2016 (53%, 5625). The KM estimates of MFS were 0.729 (0.719, 0.74), 0.648 (0.633, 0.663), and 0.616 (0.596, 0.636) at 10, 20, and 30 years, respectively. The cumulative probabilities of melanoma metastatic death at 10, 20 and 30 years were 0.241 (0.236, 0.245), 0.289 (0.283, 0.294), and 0.301 (0.295, 0.307). In the first 5 years since diagnosis of uveal melanoma, the proportion of deaths attributable to uveal melanoma were 1.3 with rapid fall after 10 years. Death due to melanoma were rare beyond 20 years. Relative survival (RS) plateaued to ~60% across 20 to 30 years. EAR parametric modeling yielded a survival probability of 57%. Conclusions Relative survival methods can be used to estimate long term survival of uveal melanoma patients without knowing the exact cause of death. RS and EAR provide more realistic estimates as they compare the survival to that of a normal matched population. Death due to melanoma were rare beyond 20 years with normal life expectancy reached at 25 years after primary therapy.
    Keywords Medicine ; R ; Science ; Q
    Language English
    Publishing date 2021-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: Forecasting of Covid-19 cases based on prediction using artificial neural network curve fitting technique

    S.K. Tamang / P.D. Singh / B. Datta

    Global Journal of Environmental Science and Management, Vol 6, Iss Special Issue (Covid-19), Pp 53-

    2020  Volume 64

    Abstract: Artificial neural network is considered one of the most efficient methods in processing huge data sets that can be analyzed computationally to reveal patterns, trends, prediction, forecasting etc. It has a great prospective in engineering as well as in ... ...

    Abstract Artificial neural network is considered one of the most efficient methods in processing huge data sets that can be analyzed computationally to reveal patterns, trends, prediction, forecasting etc. It has a great prospective in engineering as well as in medical applications. The present work employs artificial neural network-based curve fitting techniques in prediction and forecasting of the Covid-19 number of rising cases and death cases in India, USA, France, and UK, considering the progressive trends of China and South Korea. In this paper, three cases are considered to analyze the outbreak of Covid-19 pandemic viz., (i) forecasting as per the present trend of rising cases of different countries (ii) forecasting of one week following up with the improvement trends as per China and South Korea, and (iii) forecasting if followed up the progressive trends as per China and South Korea before a week. The results have shown that ANN can efficiently forecast the future cases of COVID 19 outbreak of any country. The study shows that the confirmed cases of India, USA, France and UK could be about 50,000 to 1,60,000, 12,00,000 to 17,00,000, 1,40,000 to 1,50,000 and 2,40,000 to 2,50,000 respectively and may take about 2 to 10 months based on progressive trends of China and South Korea. Similarly, the death toll for these countries just before controlling could be about 1600 to 4000 for India, 1,35,000 to 1,00,000 for USA, 40,000 to 55,000 for France, 35,000 to 47,000 for UK during the same period of study.
    Keywords ann-curve fitting ; artificial neural network (ann) ; coronavirus (covid-19) ; forecast modelling ; Environmental sciences ; GE1-350 ; covid19
    Subject code 950
    Language English
    Publishing date 2020-08-01T00:00:00Z
    Publisher GJESM Publisher
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: HYDROMAGNETIC FREE CONVECTIVE FLOW PAST A POROUS PLATE

    K. D. SINGH

    Proceedings of Indian National Science Academy, Vol 22, Iss

    2015  Volume 7

    Abstract: HYDROMAGNETIC FREE CONVECTIVE FLOW PAST A POROUS ... ...

    Abstract HYDROMAGNETIC FREE CONVECTIVE FLOW PAST A POROUS PLATE
    Keywords Science ; Q
    Language English
    Publishing date 2015-01-01T00:00:00Z
    Publisher Indian National Science Academy
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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