Zobrazeno 1 - 10
of 1 325
pro vyhledávání: '"B. Acharya"'
Autor:
T. Setiyono, T. Gentimis, F. Rontani, D. Duron, G. Bortolon, R. Adhikari, B. Acharya, K.J. Han, W.D. Pitman
Publikováno v:
Smart Agricultural Technology, Vol 7, Iss , Pp 100400- (2024)
This study explored the use of TensorFlow image recognition model to identify herbaceous mimosa (Mimosa strigillosa) from digital images. There is a demand for such technology toward digital mapping of the spatial distribution of these important pere
Externí odkaz:
https://doaj.org/article/b970686debac4a2cb8adbda3b5bce30e
Autor:
B. Acharya, J. Alexandre, P. Benes, B. Bergmann, S. Bertolucci, A. Bevan, R. Bhattacharyya, H. Branzas, P. Burian, M. Campbell, S. Cecchini, Y. M. Cho, M. de Montigny, A. De Roeck, J. R. Ellis, M. El Sawy, M. Fairbairn, D. Felea, M. Frank, J. Hays, A. M. Hirt, P. Q. Hung, J. Janecek, M. Kalliokoski, A. Korzenev, D. H. Lacarrére, C. Leroy, G. Levi, A. Lionti, A. Margiotta, R. Maselek, A. Maulik, N. Mauri, N. E. Mavromatos, E. Musumeci, M. Mieskolainen, L. Millward, V. A. Mitsou, R. Orava, I. Ostrovskiy, P.-P. Ouimet, J. Papavassiliou, B. Parker, L. Patrizii, G. E. Păvălaş, J. L. Pinfold, L. A. Popa, V. Popa, M. Pozzato, S. Pospisil, A. Rajantie, R. Ruiz de Austri, Z. Sahnoun, M. Sakellariadou, K. Sakurai, A. Santra, S. Sarkar, G. Semenoff, A. Shaa, G. Sirri, K. Sliwa, R. Soluk, M. Spurio, M. Staelens, M. Suk, M. Tenti, V. Togo, J. A. Tuszyński, A. Upreti, V. Vento, O. Vives, MoEDAL COLLABORATION
Publikováno v:
European Physical Journal C: Particles and Fields, Vol 82, Iss 8, Pp 1-16 (2022)
Abstract A search for highly electrically charged objects (HECOs) and magnetic monopoles is presented using 2.2 $$\hbox {fb}{^{-1}}$$ fb - 1 of $$p-p$$ p - p collision data taken at a centre of mass energy (E $$_{CM}$$ CM ) of 8 TeV by the MoEDAL det
Externí odkaz:
https://doaj.org/article/b649d380a00d47aab243bcac70870355
Autor:
D. Gurung, M. Neupane, K. Bhattarai, B. Acharya, N. C. Gautam, K. Gautam, S. Koirala, K. Marahatta, P. Gurung, K. B. Khadka, B. A. Kohrt, G. Thornicroft, P. C. Gronholm
Publikováno v:
Epidemiology and Psychiatric Sciences, Vol 32 (2023)
Externí odkaz:
https://doaj.org/article/89bb16e62c784690b7ec7542adf5a656
Autor:
B. Acharya, S. Bacca
Publikováno v:
Physics Letters B, Vol 827, Iss , Pp 137011- (2022)
We calculate the energy-dependent cross section of the np↔dγ process in chiral effective field theory and apply state-of-the-art tools for quantification of theory uncertainty. We focus on the low-energy regime, where the magnetic dipole and the e
Externí odkaz:
https://doaj.org/article/ccaa818d569b4a68a14055e5f9039c7f
Autor:
B. Acharya, J. Alexandre, S. Baines, P. Benes, B. Bergmann, J. Bernabéu, A. Bevan, H. Branzas, M. Campbell, L. Caramete, S. Cecchini, M. de Montigny, A. De Roeck, J.R. Ellis, M. Fairbairn, D. Felea, M. Frank, D. Frekers, C. Garcia, J. Hays, A.M. Hirt, J. Janecek, D.-W. Kim, K. Kinoshita, A. Korzenev, D.H. Lacarrère, S.C. Lee, C. Leroy, G. Levi, A. Lionti, J. Mamuzic, A. Margiotta, N. Mauri, N.E. Mavromatos, P. Mermod, V.A. Mitsou, R. Orava, I. Ostrovskiy, B. Parker, L. Patrizii, G.E. Păvălaş, J.L. Pinfold, V. Popa, M. Pozzato, S. Pospisil, A. Rajantie, R. Ruiz de Austri, Z. Sahnoun, M. Sakellariadou, A. Santra, S. Sarkar, G. Semenoff, A. Shaa, G. Sirri, K. Sliwa, R. Soluk, M. Spurio, Y.N. Srivastava, M. Suk, J. Swain, M. Tenti, V. Togo, J.A. Tuszyński, V. Vento, O. Vives, Z. Vykydal, A. Widom, G. Willems, J.H. Yoon, I.S. Zgura
Publikováno v:
Physics Letters B, Vol 782, Iss , Pp 510-516 (2018)
We update our previous search for trapped magnetic monopoles in LHC Run 2 using nearly six times more integrated luminosity and including additional models for the interpretation of the data. The MoEDAL forward trapping detector, comprising 222 kg of
Externí odkaz:
https://doaj.org/article/59900f35be124f578b14ccedee993bba
Publikováno v:
Physics Letters B, Vol 760, Iss C, Pp 584-589 (2016)
We compute the S-factor of the proton–proton (pp) fusion reaction using chiral effective field theory (χEFT) up to next-to-next-to-leading order (NNLO) and perform a rigorous uncertainty analysis of the results. We quantify the uncertainties due t
Externí odkaz:
https://doaj.org/article/30ca2f359d414327a78bc245f7767e7c
Autor:
B. Acharya, J. Tenpa, M. Basnet, S. Hirachan, P. Rimal, N. Choudhury, P. Thapa, D. Citrin, S. Halliday, S. B. Swar, C. van Dyke, B. Gauchan, B. Sharma, E. Hung, M. Ekstrand
Publikováno v:
Cambridge Prisms: Global Mental Health, Vol 4 (2017)
Background. In low- and middle-income countries, mental health training often includes sending few generalist clinicians to specialist-led programs for several weeks. Our objective is to develop and test a video-assisted training model addressing th
Externí odkaz:
https://doaj.org/article/cb84cec53a9d4b5e84d184db701386e5
Publikováno v:
Condensed Matter, Vol 4, Iss 1, p 1 (2018)
Sliding friction levels of thin (1⁻2 monolayers) and thick (~10 monolayers) oxygen films adsorbed on nickel and gold at 47.5 K have been measured by means of a quartz crystal microbalance (QCM) technique. Friction levels for the thin (thick) films
Externí odkaz:
https://doaj.org/article/ba79d22301534a2ca2441075c446543d
Autor:
H.S. Baral, A.K. Ram, B. Chaudhary, D. Chaudhary, A. Timsina, S. Acharya, K. Bidari, B. Acharya, P. Thulung, A. Karki, K.P. Acharya
Publikováno v:
Journal of Threatened Taxa, Vol 5, Iss 7, Pp 4076-4083 (2013)
The Bengal Florican Houbaropsis bengalensis is a Critically Endangered bird species. Populations have been monitored in Nepal since 1982, and the most recent study showed a precipitous decline despite the species being mainly confined to protected ar
Externí odkaz:
https://doaj.org/article/82e0dfd0b09246a8bcda1c09b781dff3
Publikováno v:
Nature Environment and Pollution Technology, Vol 20, Iss 1, Pp 243-249 (2021)
The burning of crop residues (traditionally called ‘Parali’) has recently become a hot topic in India because it is presumed to be one of the reasons for abnormally high levels of air pollution in New Delhi, the capital city of India, after harve
Externí odkaz:
https://doaj.org/article/c58fd3a26ca14e1e8a33588a26b746f3