Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

Wyszukujesz frazę "Hanumant V., Wanve" wg kryterium: Autor


Wyświetlanie 1-2 z 2
Tytuł:
Influence of magnetic energy on protein contents in the fifth instar larvae of silkworm, Bombyx mori (L) (Race: PM x CSR2)
Autorzy:
Shivpuje, Madhuri Anil
Hanumant V., Wanve
Belpatre, Sadashiv N.
Khyade, Vitthalrao B.
Powiązania:
https://bibliotekanauki.pl/articles/1190139.pdf
Data publikacji:
2016
Wydawca:
Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
Tematy:
Magnetic exposure
Protein content
Silk Glands
Fat Bodies
Haemolymph
PM x CSR2
Opis:
The fifth instar larvae of multivoltine crossbreed race (PM x CSR2) of silkworm, Bombyx mori (L) were exposed to the magnetic energy of various strengths (1000, 2000, 3000 and 4000 Gauss magnetic field). The magnetization of fifth instar larvae was carried out on the first four days, for half an hour for each day before first feeding. Bioassay of total proteins was carried out on the fifth day of fifth instars. The attempt reveals influence of magnetization of Bombyx mori larvae on the total protein content level in the silk glands, fat bodies and haemolymph. The total protein content was increased with increase in the strength of magnetic field from 1000 to 4000 Gauss magnetic field. The larvae magnetized with 4000 Gauss magnetic field were found with sustained or decreased in total protein contents. Silk gland total proteins were increased from 5.901 to 17.481 percent. Total proteins of fat bodies were increased from 18 to 46.517 percent. And the total proteins of haemolymph were increased from 16.606 to 33.588 percent. Magnetization may have had influence on the increase in the levels of amino acids followed by accelerated rate of protein synthesis in the fifth instar larvae of silkworm, Bombyx mori (L) (Race: PM x CSR2). Magnetic energy should be utilized as efficiently as possible for the progression of growth of larval instars of silkworm, Bombyx mori (L).
Źródło:
World Scientific News; 2016, 42; 73-86
2392-2192
Pojawia się w:
World Scientific News
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Mathematics Serve to Orchestrate the Progression of Studies In Biological Sciences: Overview on Occasion of April, the Mathematics Awareness Month
Autorzy:
Khyade, Vitthalrao B.
Wanve, Hanumant V.
Powiązania:
https://bibliotekanauki.pl/articles/1177867.pdf
Data publikacji:
2018
Wydawca:
Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
Tematy:
Biomathematics
Quantitative Genetics; Population Dynamics; Supercomplex Mechanisms
Opis:
The mathematics and biology are the interdisciplinary approaches in the field of scientific research. Both, mathematics and biology deserve a wide range of applications. Mathematical biology or biomathematics is the study of mathematics for biology. One can derive the quantitative genetics through consideration of infinitesimal effects at a large number of gene loci, together with the assumption of linkage equilibrium or quasi-linkage equilibrium. Ronald Fisher made the intensive work on fundamental advances in statistics (Example: Analysis of Variance). This achievement by Ronald Fisher was through his work on quantitative genetics. The phylogenetics is one more important branch of population genetics that led to the extensive development of Biological sciences through Mathematics. The Phylogenetics is the branch dealing with the reconstruction and analysis of phylogenetic (evolutionary) trees and network based on inherited characteristics. Assumptions on the “Constant Population Size” belongs to many “Population Genetics” models. The population dynamics is treating the “Variable Population Size” as absence of genetic variation. History of such type of work goes back to the 19th century. Even as far as 1798. In 1798, Thomas Malthus formulated the first principle of population dynamics. This principle later became popularize as the “Malthusian Growth Model”. Alfred J. Lotka, in 1910 proposed the model of autocatalytic chemical reactions. Vito Volterra tried his best to extend this work and titled as “Lotka - Volterra Predator-Prey Equations”. Basically, Vito Volterra was Mathematician. The mathematical epidemiology is the study of infectious disease affecting populations. Upto some extent, the “Population dynamics” use to overlaps mathematical epidemiology. The mathematics and Biology, both are serving a lot to orchestrate the progression of the global research.
Źródło:
World Scientific News; 2018, 98; 140-149
2392-2192
Pojawia się w:
World Scientific News
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

    Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies