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Wyszukujesz frazę "Dey, M." wg kryterium: Autor


Tytuł:
Propagation of threatened climber species Entada rheedii Spreng. – a medicinal plant with extremely thick and hard seed coat
Autorzy:
Hossain, M.A.
Dey, J.
Rahman, M.A.
Tematy:
Entada rheedii
germination potential
growth performance
pre-sowing treatments
rooting abil-
ity
rooted cuttings
Pokaż więcej
Wydawca:
Polska Akademia Nauk. Instytut Dendrologii PAN
Powiązania:
https://bibliotekanauki.pl/articles/2078264.pdf  Link otwiera się w nowym oknie
Opis:
The study explored propagation techniques of Entada rheedii Spreng., a threatened medicinal climber species with extremely hard seed coat. Propagation trials included both pre-sowing treatments of seeds for germination and clonal propagation by stem cutting. Pre-sowing treatments included (a) soaking of both cut (notched) and uncut (intact) seeds in water for 0 h, 24 h, 48 h, and 72 h and (b) immersion of intact seeds in 5% acetone solution for 5 min, 10 min, and 20 min before sowing in germination media in polybags. On the other hand, stem cutting involved treating the summer or autumn cuttings with 0%, 0.4%, and 0.8% IBA solution before rooting in non-mist propagator. Notched seeds soaked in water for 48 h showed the fastest seed germination with the highest germination percentages (73.3) and better seedling growth in terms of plant height, collar diameter, leaf number and total dry mass followed by notched seeds soaked in water for 72 h. The slowest germination and the lowest germination percentage (3.3), as well as the poorest growth performance was for intact seeds without any treatment. The highest rooting percent- age with maximum number of roots (36.6) was obtained from the summer cuttings treated with 0.4% IBA solution followed by autumn cuttings with 0.8% IBA and the lowest (43.3% and 8.3 roots) was for summer cuttings in control. The factors also dictated the survival and growth performance of rooted cuttings in the nursery conditions. The outcomes of these trials i.e., notched seeds soaking in water for 48 h will help to enhance the propagation of this valuable medicinal plant species.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Biuret: a Potential Burning Rate Suppressant in Ammonium Chlorate(VII) Based Composite Propellants
Autorzy:
Dey, A.
Ghorpade, V. G.
Kumar, A.
Gupta, M.
Tematy:
burning rate suppressants
biuret
burning rate
HTPB
composite propellant
Pokaż więcej
Wydawca:
Sieć Badawcza Łukasiewicz - Instytut Przemysłu Organicznego
Powiązania:
https://bibliotekanauki.pl/articles/358579.pdf  Link otwiera się w nowym oknie
Opis:
Several composite propellant compositions containing various concentrations of biuret, a new burning rate suppressant, were formulated and studied to optimize the concentration of biuret in the composite propellant. Biuret was used here for the first time in a composite propellant as a burning rate suppressant. The theoretical properties of the compositions containing different concentrations of biuret were computed by using the NASA CEC-71 programme and the burning rate performances were evaluated. In addition, the sensitivity, thermal and mechanical properties of the compositions were also evaluated. The composition containing ammonium chlorate(VII) (AP) 65%, Al 15%, binder 20% and biuret 0-6% over the batch were prepared. The composition containing 6% biuret over the batch was insensitive to friction and impact. As the amount of biuret was increased, the energy, burning rate and sensitivity decreased, whilst the auto ignition temperature increased. The formulation containing 4% biuret over the batch was found to be the optimum with respect to energy, burning rate, pressure index, and sensitivity.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Towards New Directions in Oxidizers/Energetic Fillers for Composite Propellants: an Overview
Autorzy:
Dey, A.
Sikder, A. K.
Talawar, M. B.
Chottopadhyay, S.
Tematy:
binder
oxidizer
composite propellant
burn rate modifier
plasticizer
high energy materials
Pokaż więcej
Wydawca:
Sieć Badawcza Łukasiewicz - Instytut Przemysłu Organicznego
Powiązania:
https://bibliotekanauki.pl/articles/358191.pdf  Link otwiera się w nowym oknie
Opis:
There is continued interest in the development of safe and reliable composite propellant formulations using modern energetic ingredients such as energetic oxidizers/energetic ingredients, energetic binders, and energetic ballistic modifiers. There are continued efforts by energetic materials researchers, scientists, technologists and engineers to design composite propellant formulations with better ballistic properties than conventional formulations. The efforts in many research and development (R & D) laboratories all over the world are aimed at utilizing modern oxidizers/ energetic fillers for the development of composite propellant formulations for both space and defence applications. Composite propellants are considered to be the major source of chemical energy for rockets and missiles. Energetic oxidizers/fillers play vital roles in the preparation or manufacture of composite propellant formulations. Various energetic oxidizers/fillers have been developed during the last five decades to address environmental safety, high energy and processing conditions. In this article, the authors have reviewed the characteristic properties of the energetic oxidizers/fillers used in the preparation of composite propellants. The characteristic properties of the energetic ingredients play an important role in the preparation of composite propellant formulations with the desired mechanical properties. The advantages and disadvantages of various energetic oxidizers/ingredients for specific and potential propellant applications are also highlighted throughout the course of this review article. The future direction in composite propellant formulations calls for the development of green propellant formulations. Efforts will continue to seek alternative and more energetic oxidizers/fillers in comparison to conventional oxidizers. There is an urgent need to replace conventional oxidizers such as ammonium perchlorate with eco-friendly ingredients.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Groundwater arsenic contamination in West Bengal: current scenario, effects and probable ways of mitigation
Autorzy:
Dey, T.K.
Banerjee, P.
Bakshi, M.
Kar, A.
Ghosh, S,
Tematy:
ground water
arsenic
water contamination
West Bengal
mitigation
human health
Pokaż więcej
Wydawca:
Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
Powiązania:
https://bibliotekanauki.pl/articles/11026.pdf  Link otwiera się w nowym oknie
Opis:
During the past two decades, Arsenic (As) contamination via groundwater has become a serious issue worldwide and is now a major concern in the Indo-Bangladesh Gangetic delta. Arsenic enters human body through contaminated groundwater consumed as drinking water. Food safety in this region is also facing severe consequences as bio-accumulation of Arsenic is occurring in food crops irrigated with As-contaminated water. Chronic exposure to Arsenic can cause not only cancerous and non-cancer health effects. Reports suggest that about 20 % population in West Bengal is highly affected. Various techniques are being introduced to provide arsenic-free drinking water at an affordable cost. But a rigorous change in habit and mind set for procuring safe drinking water in those surviving in As-contaminated zones is the most essential step towards curbing the fatal consequences of As exposure. Harvesting rain water and utilization of proper purification techniques can be considered a possible alternative of safe drinking water.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Challenges in QCD matter physics : the scientific programme of the Compressed Baryonic Matter experiment at FAIR
Autorzy:
Löchner, S.
Raportirenko, A.
Berdnikov, Y.
Al-Turany, M.
Kłeczek, R.
Kyva, V.
Petukhov, O.
Verbitskaya, E.
Kolb, B. W.
Schiaua, C.
Kisel, I.
Singh, B. K.
Nandi, C.
Prokudin, M.
Reichelt, P.
Golubkov, D.
Pietraszko, J.
Klein-Bösing, Ch
Vasylyev, O.
Das, Supriya
Panasenko, I.
Jipa, A.
Plotnikov, V.
Tarasiuk, J.
Zanevsky, Yu
Berendes, R.
Ristea, O.
Mahapatra, D. P.
Kowalski, S.
Wessels, J. P.
Balog, T.
Som, I.
Talukdar, R.
Teklishyn, M.
Kleipa, V.
Svoboda, O.
Senger, P.
Bus, T.
Herrmann, N.
Kryshen, E.
Verhoeven, W.
Akram, A.
Andreeva, O.
Zryuev, V.
Ivanov, Vladimir
Kiselev, S.
Lara, C.
Belogurov, S.
Ramírez, A. Gómez
Ciobanu, M. I.
Kaptur, E.
Visinka, R.
Kurilkin, P.
Kalinin, V.
Kiss, T.
Singh, A. K.
Bercuci, A.
Song, Jihye
Chernogorov, A.
Zrelov, P.
Selyuzhenkov, I.
Schatral, S.
Bartoş, D.
Wiśniewski, K.
Csanád, M.
Petriş, M.
Berezin, G.
Momot, I.
Lebedeva, E.
Li, Cheng
Lemke, F.
Pospisil, V.
Zabołotny, W.
Kiš, M.
Chávez, C. García
Tsyupa, Yu
Höhne, C.
Sosin, Zbigniew
Zheng, Jiajun
Shumikhin, V.
Płaneta, Roman
Büsching, H.
Pugatch, V.
Zamiatin, N. I.
Ososkov, G.
Karnaukhov, V.
Razin, S.
Beşliu, C.
Wendisch, C.
Won, Sanguk
Martínez, J. A. Lucio
Linnik, B.
Fateev, O.
Luo, Xiaofeng
Galatyuk, T.
Parzhitskiy, S.
Mikhaylov, V.
Plujko, V.
Târzilă, M.-G.
Becker, J.
Ivanov, Victor
Petrovskiy, A.
Gupta, A.
Tölyhi, T.
Winckler, N.
Kunkel, J.
Golovtsov, V.
Lone, S. A.
Irfan, M.
Blinov, V.
Seddiki, S.
Nayak, T.
Pugach, M.
Turowiecki, A.
Zinchenko, A.
Atkin, E.
Heine, N.
Dey, K.
Kuc, M.
Frühauf, J.
Vznuzdaev, M.
Ivanov, P.
Usenko, E.
Vorobiev, A.
Kumar, Ajit
Baban, V.
Sarangi, S.
Gusakov, Yu.
Cherif, H.
Kozlov, V.
Akishina, V.
Gebelein, J.
Merkin, M.
Das, Susovan
Rosado, J. Sánchez
Book, J.
Morozov, S.
Schweda, K.
Kozlov, G.
Ivashkin, A.
Tarassenkova, O.
Škoda, L.
Huang, Xinjie
Semennikov, A.
Deng, Zhi
Nandy, E.
Dutka, Ludomir
Blau, D.
Eschweiler, D.
Fan, Huanhuan
Akindinov, A.
Deppner, I.
Wang, Yaping
Kekelidze, G.
Roether, F.
Anđelić, M.
Sahu, P. K.
Anisimov, Yu.
Chen, Hongfang
Butuzov, V.
Chen, LuYao
Rożynek, J.
Wang, Yi.
Malygina, H.
Rost, A.
Rami, F.
Zipper, W.
Golovatyuk, V.
Viyogi, Y. P.
Seck, F.
Kohn, M.
Dürr, M.
Herghelegiu, A.
Pal, S.
Rostovtseva, I.
Ladygin, V.
Sahoo, R.
Kiryakov, A.
Michel, J.
Niebur, W.
Karavicheva, T.
Flemming, H.
Cãlin, M.
Khvorostukhin, A.
Kurepin, A.
Staszel, Paweł
Roy, Amitava
Zyzak, M.
Adak, R. P.
Doering, D.
Debnath, B.
Shi, Shusu
Schmidt, H. R.
He, Shue
Bhattacharyya, T. K.
Ryabov, Yu.
Kirakosyan, V.
Alexandrov, I.
Wang, Dong
Finogeev, D.
Cheng, Jianping
Kotte, R.
Sturm, C.
Eşanu, T.
Akishin, P.
Lyu, Pengfei
Peshekhonov, V.
Blank, T.
Maevskaya, A.
Markert, J.
Toia, A.
Yang, Junfeng
Satława, T.
Poźniak, K.
Rautenberg, J.
Azmi, M. D.
Militsija, V.
Kmon, P.
Winter, M.
Baznat, M.
García, A. Laso
Bertini, D.
Belyakov, D.
Dorokhov, A.
Dreschmann, M.
Heuser, J. M.
Pauly, C.
Drozd, A.
Chattopadhyay, S.
Bao, E.
Sadovsky, A.
Simons, C.
Lymanets, A.
Heß, B.
Murin, Yu
Cao, Ping
Zheng, Sheng
Dobyrn, V.
Masciocchi, S.
Petrovici, M.
Kasiński, K.
Mandal, M. M.
Lazanu, I.
D’Ascenzo, N.
Gudima, K.
Veshikov, A.
Chepurnov, V.
Oh, Kunsu
Frankenfeld, U.
Jiang, Di
Carević, I.
Gajda, J.
Vassiliev, I.
Filozova, I.
Ilgenfritz, E.-M.
Amar-Youcef, S.
Golinka-Bezshyyko, L.
Kolosova, A.
Hartmann, H.
Miskowiec, D.
Simon, C.
Feng, Shengqin
Deveaux, C. A.
Kämpfer, B.
Saveliev, V.
Mukherjee, S.
Rabtsun, S.
Mahmoud, T.
Jahan, H.
Kebschull, U.
Dementiev, D.
Grzeszczuk, A.
Tlustý, P.
Cătănescu, V.
Żoładź, M.
Andronic, A.
Singh, C. P.
Alexandrov, E.
Penschuck, M.
Ghosh, P.
Wielanek, D.
Topil’skaya, N.
Breitner, T.
Gorbunov, S.
Koenig, W.
Chakrabarti, A.
Strikhanov, M.
Zhang, Yu.
Brüning, U.
Barczyk, Tadeusz
Baranova, N.
Majka, Zbigniew
Wang, Xi-Wei
Shumeiko, N.
Song, Guofeng
Deng, Wendi
Rodriguez, A. Rodriguez
Sambyal, S. S.
Shabanov, A.
Lavrik, E.
Reshetin, A.
Tsakov, I.
Wolf, Gy
Müller, W. F. J.
Tischler, T.
Loizeau, P.-A.
Valin, I.
Sau, S.
Pfeifer, D.
Zaitsev, Yu.
Deveaux, M.
Adamczyk, Marek
Bertini, O.
Klochkov, V.
Huang, Guangming
Zumbruch, P.
Schmidt, C. J.
Bhattacharyya, A.
Abuhoza, A.
Friese, V.
Golovnya, S.
Biswas, S.
Kravtsov, P.
Janson, T.
Sultanov, R.
Rostchin, E.
Hehner, J.
Weber, M.
Samsonov, V.
Kazantsev, A.
Onishchuk, Yu.
Petráček, V.
Sun, Yongjie
Romaniuk, R.
Koczoń, P.
Kryanev, A. V.
Radulescu, L.
Kumar, L.
Akishina, T.
Matulewicz, T.
Avdeev, S.
Kreidl, C.
Li, Yuanjing
Manz, S.
Zhou, Jing
Xu, Nu
Meder, L.
Jaaskelainen, K.
Kaur, M.
Querchfeld, S.
Kuznetsov, S.
Wüstenfeld, J.
Mahajan, S.
Badura, E.
Liu, Feng
Panda, N. R.
Maj, P.
Varga, D.
Cuveland, J. de
Li, Xin
Dey, M.
Malankin, E.
Bhasin, A.
Malakhov, A.
Peshekhonov, D.
Yang, Rongxing
Negi, V. S.
Yoo, In-Kwon
Kurilkin, A.
Sheremetiev, A. D.
Tuturas, N. G.
Rauza, J.
Sikora, B.
Yushmanov, I.
Koch, K.
Singaraju, R. N.
Bhaduri, P. P.
Ivanov, M.
Manko, V.
Mik, L.
Batenkov, O.
Constantin, F.
Friske, E.
Petrovici, A.
Appelshäuser, H.
Bhattacharjee, B.
Sitzmann, P.
Zhao, Lei
Kumar, Ashwini
Himmi, A.
Malkevich, D.
Aggarwal, M. M.
Korolko, I.
Chaus, A.
Guber, F.
Förtsch, J.
Roy, Ankhi
Kirejczyk, M.
Koziel, M.
Otfinowski, P.
Cai, Xu.
Farooq, M.
Shabunov, A.
Wiechula, J.
Krieger, M.
Garcia, A. M. Marin
Bezshyyko, O.
Kisel, P.
Dillenseger, P.
Krebs, E.
Berdnikov, A.
Blume, C.
Dželalija, M.
Stroth, J.
Fan, Xingming
Baublis, V.
Lebedev, A.
Voronin, Alexander
Dubnichka, S.
Wiebusch, M.
Raniwala, R.
Nedosekin, A.
Wu, Ke-Jun
Wilms, A.
Voronin, Aleksey
Elsha, V. V.
Bähr, S.
Bubak, A.
Gottschalk, D.
Pieper, J.
Zhalov, M.
Kretschmar, G.
Fröhlich, I.
Khanzadeev, A.
Wieloch, Andrzej
Deppe, H.
Andrei, C.
Claus, G.
Kugler, A.
Malyatina, O.
Bychkov, A.
Sahu, S. K.
Sander, O.
Castillo, C. E. Muñoz
Klaus, P.
Schintke, F.
Alekseev, I.
Mandal, S.
Kampert, K.-H.
Bocharov, Yu
Gangopadhyay, G.
Szczygieł, R.
Brzychczyk, Janusz
Holzmann, R.
Kudin, L.
Siwek-Wilczyńska, K.
Hu, Dongdong
Dubey, A. K.
Volkov, S.
Tanha, M.
Kurepin, N.
Pop, A.
Mikhailov, K.
Agarwal, K.
Volochniuk, A.
Gryboś, P.
Berceanu, I.
Xiang, Changzhou
Singhal, V.
Pshenichnov, I.
Eremin, V.
Ahammed, Z.
Yuldashev, B.
Bergmann, C.
Khasanov, F.
Leifels, Y.
Zhou, Daicui
Korolev, M.
Kochenda, L.
Jain, V.
Ivanischev, D.
Zhu, Xianglei
Soyk, D.
Ivanov, Valery
Lehrbach, J.
Miftakhov, N.
Scholten, J.
Karavichev, O.
Fischer, P.
Kovalchuk, A.
Prakash, A.
Morhardt, T.
Kucewicz, W.
Ahmad, S.
Singla, M.
Lebedev, S.
Bhati, A. K.
Ahmad, N.
Golubeva, M.
Li, Qiyan
Emschermann, D.
Nikulin, V.
Argintaru, D.
Bashir, S.
Ovcharenko, E.
Averbeck, R.
Sibiryak, I.
Tang, Zebo
Kramarenko, V.
Zhang, Yifei
Ablyazimov, T.
Kadenko, I.
Saini, J.
Senger, A.
Raha, S.
Bach, M.
Mialkovski, V.
Piasecki, K.
Byszuk, A.
Dubnichkova, Z.
Kresan, D.
Träger, M.
Gläßel, S.
Raniwala, S.
Gumiński, M.
Petri, M.
Strohauer, S.
Engel, H.
Ghosh, S. K.
Kähler, P.
Kushpil, V.
Han, Dong
Szabó, A.
Vovchenko, V.
Kasprowicz, G.
Komkov, B.
Ierusalimov, A.
Yin, Zhongbao
Goffe, M.
Dong, Sheng
Balzer, M.
Eschke, J.
Milanović, B.
Uhlig, F.
Caragheorgheopol, G.
Samanta, S.
Ray, R.
Kallunkathariyil Sebastian, Jinesh
Figuli, S. P. D.
Lindenstruth, V.
Naumann, L.
Becker, K.-H.
Jakovlev, V.
Shao, Ming
Oancea, A.
Reinecke, S.
Pluta, J.
Ristea, C.
Hutter, D.
Gorokhov, S.
Bendarouach, J.
Karabowicz, R.
Skwira-Chalot, I.
Kucher, V.
Lobanov, I.
Müntz, C.
Prasad, S. K.
Khan, M. M.
Simakov, A.
Karmanov, D.
Svirida, D.
Tripathy, S.
Derenovskaya, O.
Karpechev, E.
Lobanova, E.
Patel, V.
Kres, I.
Khan, S. A.
Schmidt, K.
Larionov, P.
Najman, Rafał
Ahmad, F.
Reinefeld, A.
Akishina, E.
Baszczyk, M.
Normanov, D.
Lehnert, J.
Dostawca treści:
Repozytorium Uniwersytetu Jagiellońskiego
Artykuł
Tytuł:
Inferring the redshift of more than 150 GRBs with a machine-learning ensemble model
Autorzy:
Bogdan, Malgorzata
Dey, Apratim
Taira, Elias
Pollo, Agnieszka
Madejski, Grzegorz M.
Bhardwaj, Shubham
Petrosian, Vahe
Lehman, Elias
Dainotti, Maria
Wang, Eric
Narendra, Aditya
Opis:
Gamma-ray bursts (GRBs), due to their high luminosities, are detected up to a redshift of 10, and thus have the potential to be vital cosmological probes of early processes in the Universe. Fulfilling this potential requires a large sample of GRBs with known redshifts, but due to observational limitations, only 11% have known redshifts (z). There have been numerous attempts to estimate redshifts via correlation studies, most of which have led to inaccurate predictions. To overcome this, we estimated GRB redshift via an ensemble-supervised machine-learning (ML) model that uses X-ray afterglows of long-duration GRBs observed by the Neil Gehrels Swift Observatory. The estimated redshifts are strongly correlated (a Pearson coefficient of 0.93) and have an rms error, namely, the square root of the average squared error 〈Δz$^{2}$〉, of 0.46 with the observed redshifts showing the reliability of this method. The addition of GRB afterglow parameters improves the predictions considerably by 63% compared to previous results in peer-reviewed literature. Finally, we use our ML model to infer the redshifts of 154 GRBs, which increase the known redshifts of long GRBs with plateaus by 94%, a significant milestone for enhancing GRB population studies that require large samples with redshift.
Dostawca treści:
Repozytorium Uniwersytetu Jagiellońskiego
Artykuł

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