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Wyszukujesz frazę "Sehgal, R." wg kryterium: Autor


Wyświetlanie 1-2 z 2
Tytuł:
Presence of intracellular viruses in human Cryptosporidium isolates
Autorzy:
Sharma, P.
Khurana, S.
Sharma, A.
Sehgal, R.
Malla, N.
Powiązania:
https://bibliotekanauki.pl/articles/5602.pdf
Data publikacji:
2016
Wydawca:
Polskie Towarzystwo Parazytologiczne
Opis:
Cryptosporidium is a major cause of diarrheal illness mainly in children and immunocompromised adults. Disease severity ranges from asymptomatic or self-limited gastroenteritis to acute or chronic diarrhoea which may be associated with systemic features. Intracellular viruses that reside in many parasites have been incriminated in pathogenesis of diseases like trichomoniasis, leishmaniasis etc. Thus we attempted to detect and quantitate the intracellular viruses in Cryptosporidium isolates and sought to seek a relationship if any, with clinical features. Cryptosporidia in stool samples from immunocompromised patients and children were identified by microscopy and species differentiated by PCR-RFLP of 18s rRNA; further subgenotyped by sequencing of GP60 region. Copy number of dsRNA virus and 18srRNA was calculated in 56 Cryptosporidium isolates (39 C. hominis and 17 C. parvum). Viral copy number per oocyst was calculated as ratio of dsRNA virus copy number to 18s rRNA copy number. Viruses were detected in all the isolates. Mean CSpV/RNA ratio was 0.17±0.4 for C. hominis isolates compared with 0.12±0.11 for C. parvum isolates, however this difference was not statistically significant. Similarly no association of diarrhoea, vomiting, cough and fever was found with either CSpV copy number or with CSpV/rRNA ratio.
Źródło:
Annals of Parasitology; 2016, 62, 2
0043-5163
Pojawia się w:
Annals of Parasitology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Comparative evaluation of inversion approaches of the radiative transfer model for estimation of crop biophysical parameters
Autorzy:
Mridha, N.
Sahoo, R.N.
Sehgal, V.K.
Krishna, G.
Pargal, S.
Pradhan, S.
Gupta, V.K.
Nagesh Kumar, D.
Powiązania:
https://bibliotekanauki.pl/articles/25984.pdf
Data publikacji:
2015
Wydawca:
Polska Akademia Nauk. Instytut Agrofizyki PAN
Opis:
The inversion of canopy reflectance models is widely used for the retrieval of vegetation properties from remote sensing. This study evaluates the retrieval of soybean biophysical variables of leaf area index, leaf chlorophyll content, canopy chlorophyll content, and equivalent leaf water thickness from proximal reflectance data integrated broad bands corresponding to moderate resolution imaging spectroradiometer, thematic mapper, and linear imaging self scanning sensors through inversion of the canopy radiative transfer model, PROSAIL. Three different inversion approaches namely the look-up table, genetic algorithm, and artificial neural network were used and performances were evaluated. Application of the genetic algorithm for crop parameter retrieval is a new attempt among the variety of optimization problems in remote sensing which have been successfully demonstrated in the present study. Its performance was as good as that of the look-up table approach and the artificial neural network was a poor performer. The general order of estimation accuracy for para-meters irrespective of inversion approaches was leaf area index > canopy chlorophyll content > leaf chlorophyll content > equivalentleaf water thickness. Performance of inversion was comparable for broadband reflectances of all three sensors in the optical region with insignificant differences in estimation accuracy among them.
Źródło:
International Agrophysics; 2015, 29, 2
0236-8722
Pojawia się w:
International Agrophysics
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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