Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Anis Ur Rahman"'
Autor:
Shengzhou Jin, Ting Xu, Yao Tang, Jia-Yin Wang, Yu Wang, Junyi Pan, Sai Zhang, Qingkai Yuan, Anis Ur Rahman, Adelia J. A. Aquino, Hans Lischka, Guigen Li
Publikováno v:
Frontiers in Chemistry, Vol 10 (2023)
A new type of chirality, orientational chirality, consisting of a tetrahedron center and a remotely anchored blocker, has been discovered. The key structural element of this chirality is characterized by multiple orientations directed by a through-sp
Externí odkaz:
https://doaj.org/article/40ed7c9e2d0741f6b3ae27eb4c912d3c
Autor:
Shengzhou Jin, Yu Wang, Yao Tang, Jia-Yin Wang, Ting Xu, Junyi Pan, Sai Zhang, Qiankai Yuan, Anis Ur Rahman, James D. McDonald, Guo-Qiang Wang, Shuhua Li, Guigen Li
Publikováno v:
Research, Vol 2022 (2022)
Orientational chirality was discovered and characterized by a C(sp)–C(sp3) axis-anchored chiral center and a remotely anchored blocker. X-ray structural analysis proved that orientatiomers are stabilized by through-space functional groups, making i
Externí odkaz:
https://doaj.org/article/b8cbf9926de84fb58dd9a083b7e4ce62
Publikováno v:
IEEE Access, Vol 8, Pp 52968-52980 (2020)
With the widespread adoption of the internet of things (IoT) technologies towards building a smart city, connected devices often offload computation tasks to nearby edge locations (base stations) to reduce overall computation and network delay. Howev
Externí odkaz:
https://doaj.org/article/b435f20a31864113bf5b6090735b801c
Autor:
Adnan Bashir, Asad Waqar Malik, Anis Ur Rahman, Sohail Iqbal, Paul Robert Cleary, Aamer Ikram
Publikováno v:
IEEE Access, Vol 8, Pp 81271-81282 (2020)
Outbreaks can overwhelm fragile health systems that lack the tools, infrastructure, policies, and systems to keep communities healthy and safe. Timely detection, preparedness, and appropriate response are essential for limiting both the loss of human
Externí odkaz:
https://doaj.org/article/b7182d6abf08486fa4429b209be7f9fb
Publikováno v:
Frontiers in Chemistry, Vol 9 (2021)
Chemical synthesis based on Group-Assisted Purification chemistry (GAP) has been prolifically used as a powerful, greener and ecofriendly tool so far. Herein, we report hypervalent iodine (III) mediated regio- and diastereoselective aminobromination
Externí odkaz:
https://doaj.org/article/c9eaec1643b34fdaaa789e5564632e51
Autor:
Anis Ur Rahman, Nighat Zarshad, Wu Jianghua, Muslim Shah, Sana Ullah, Guigen Li, Muhammad Tariq, Asad Ali
Publikováno v:
Nanomaterials, Vol 12, Iss 16, p 2856 (2022)
Electrochemical energy storage devices are ubiquitous for personal electronics, electric vehicles, smart grids, and future clean energy demand. SCs are EES devices with excellent power density and superior cycling ability. Herein, we focused on the f
Externí odkaz:
https://doaj.org/article/5677e147986748df94ac59f060c29de5
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 17 (2021)
Smart cities play a vital role to develop a sustainable infrastructure with efficient management of the Internet of things devices. The infrastructure is used to support various applications for smart hospitals, smart factories, and intelligent trans
Externí odkaz:
https://doaj.org/article/d704bce639684b52a056430ba4cef9db
Publikováno v:
Frontiers in Chemistry, Vol 8 (2020)
Herein, we report a protocol for highly efficient hypervalent iodine (III) mediated, group-assisted purification (GAP) method for the regioselectivities and stereoselective aminochlorination of electron-deficient olefins. A series of vicinal chlorami
Externí odkaz:
https://doaj.org/article/e50b051f81924a289c12553146cf777e
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 15 (2019)
Smart cities and the Internet of Things have enabled the integration of communicating devices for efficient decision-making. Notably, traffic congestion is one major problem faced by daily commuters in urban cities. In developed countries, specialize
Externí odkaz:
https://doaj.org/article/1ccbe16bd9d748a78df80e7baf5cb43e
Publikováno v:
IEEE Access, Vol 5, Pp 8691-8701 (2017)
This paper presents an efficient implementation of multivariate empirical mode decomposition (MEMD) algorithm, a multivariate extension of EMD algorithm. Analogous to EMD, MEMD decomposes a multivariate signal into its intrinsic mode functions using
Externí odkaz:
https://doaj.org/article/1f2216c0e6014071b9c300f29498ed4e