Zobrazeno 11 - 20
of 477
pro vyhledávání: '"Shah Rukh"'
Publikováno v:
Energy Conversion and Management: X, Vol 14, Iss , Pp 100200- (2022)
Natural gas releases 45–50% less CO2 emissions as compared with coal and the liquefaction process is employed for storage and transport of liquefied natural gas that is an energy-intensive process. Numerous scientific efforts are being directed to
Externí odkaz:
https://doaj.org/article/ae49591cc3b84c848958138cb402faea
Autor:
Liaqat Ali, Shehzad Ali, Seema Anjum Khattak, Hammad Tariq Janjuhah, George Kontakiotis, Rahib Hussain, Shah Rukh, Mohammad Tahir Shah, George D. Bathrellos, Hariklia D. Skilodimou
Publikováno v:
Land, Vol 12, Iss 4, p 821 (2023)
The present research was carried out to examine the health and environmental impacts associated with coal mining activities in the Makarwal coal mining area in Pakistan. To achieve the objectives, 41 soil samples were collected from the coalmine-affe
Externí odkaz:
https://doaj.org/article/0d27498c0d05473bb6802ea613264e0f
Publikováno v:
Forests, Vol 14, Iss 2, p 248 (2023)
A combined severe heatwave and drought, starting in 2018 and lasting for several months, restarted the discussion on the resistance of European beech to climatic changes, with severe growth reductions, early leaf senescence, leaf browning, and diebac
Externí odkaz:
https://doaj.org/article/267803c39047497d9c3ce903a819a8e4
Autor:
Shahid Mehmood, Zahid Ali, Shah Rukh Khan, Salma Aman, Ashraf Y. Elnaggar, Mohamed M. Ibrahim, Tatiana I. Zubar, Daria I. Tishkevich, Sergei V. Trukhanov, Alex V. Trukhanov
Publikováno v:
Materials, Vol 15, Iss 22, p 8009 (2022)
The structural, electrical, and magneto-elastic properties of lanthanide base nitride (Ln = Dy-Lu) anti-perovskites were investigated using density functional theory (DFT). The reported structural outcomes are consistent with the experiment and decre
Externí odkaz:
https://doaj.org/article/fbaeaeb818134689965a76182104d473
Publikováno v:
Journal of Materials Research and Technology, Vol 9, Iss 4, Pp 7172-7179 (2020)
The structure-properties relationships of novel cyclic olefinic copolymer (COC)/poly(L-lactic acid) (PLLA) polymer blends are investigated by varying the PLLA content from 5–20 wt % in COC matrix, forming an immiscible blends at all concentrations.
Externí odkaz:
https://doaj.org/article/d6001022ab424a8b9dff588440c9a93d
Autor:
Shah Rukh Shakeel
Publikováno v:
Journal of Innovation Management, Vol 9, Iss 2, Pp VIII-XVII (2021)
The issue of climate change, greenhouse gas emissions, global warming, and their effect on nature and the ecosystem has raised serious concerns. The desire to sustain economic growth and development while keeping a check on the environmental footprin
Externí odkaz:
https://doaj.org/article/234edf98b1484e59b8f25e29983b887f
Publikováno v:
Polymers, Vol 14, Iss 14, p 2915 (2022)
Recently, dual-mode imaging systems merging magnetic resonance imaging (MRI) and ultrasound (US) have been developed. Designing a dual-mode contrast agent is complex due to different mechanisms of enhancement. Herein, we describe novel phase change n
Externí odkaz:
https://doaj.org/article/81a21489564e4c338f24c92052c91c5f
Publikováno v:
European Physical Journal C: Particles and Fields, Vol 79, Iss 7, Pp 1-11 (2019)
Abstract We explore the use of graph networks to deal with irregular-geometry detectors in the context of particle reconstruction. Thanks to their representation-learning capabilities, graph networks can exploit the full detector granularity, while n
Externí odkaz:
https://doaj.org/article/94c59c4caee2427fb162ef11d2f53b7b
Publikováno v:
Big Data and Cognitive Computing, Vol 6, Iss 1, p 28 (2022)
Virtual reality technologies, including head-mounted displays (HMD), can provide benefits to psychological research by combining high degrees of experimental control with improved ecological validity. This is due to the strong feeling of being in the
Externí odkaz:
https://doaj.org/article/438c7fd2ef744fa191c95b2774d05380
Autor:
Yutaro Iiyama, Gianluca Cerminara, Abhijay Gupta, Jan Kieseler, Vladimir Loncar, Maurizio Pierini, Shah Rukh Qasim, Marcel Rieger, Sioni Summers, Gerrit Van Onsem, Kinga Anna Wozniak, Jennifer Ngadiuba, Giuseppe Di Guglielmo, Javier Duarte, Philip Harris, Dylan Rankin, Sergo Jindariani, Mia Liu, Kevin Pedro, Nhan Tran, Edward Kreinar, Zhenbin Wu
Publikováno v:
Frontiers in Big Data, Vol 3 (2021)
Graph neural networks have been shown to achieve excellent performance for several crucial tasks in particle physics, such as charged particle tracking, jet tagging, and clustering. An important domain for the application of these networks is the FGP
Externí odkaz:
https://doaj.org/article/c0766df513ec43ff8f6284d42859ca59