Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Ismail M. Khater"'
Publikováno v:
IEEE Access, Vol 11, Pp 6665-6672 (2023)
Fault detection at the early stage is very important in modern industrial processes to avoid failure with life-threatening results and to reduce the cost of maintenance and machine downtime. In this paper, we present a workflow for building a fault d
Externí odkaz:
https://doaj.org/article/51eda55149ab4223b2cfa3713d8ee422
Autor:
Timothy H. Wong, Ismail M. Khater, Bharat Joshi, Mona Shahsavari, Ghassan Hamarneh, Ivan R. Nabi
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
Abstract Caveolin-1 (CAV1), the caveolae coat protein, also associates with non-caveolar scaffold domains. Single molecule localization microscopy (SMLM) network analysis distinguishes caveolae and three scaffold domains, hemispherical S2 scaffolds a
Externí odkaz:
https://doaj.org/article/7fd14ca68c9c4bffb076496b78b8fabf
Publikováno v:
IET Networks, Vol 8, Iss 1, Pp 15-31 (2019)
Optimising the overall power in a cluster‐assisted internet of things (IoT) network is a challenging problem for emerging IoT applications. In this study, the authors propose a mathematical model for the cluster‐assisted IoT network. The cluster
Externí odkaz:
https://doaj.org/article/2a170dc0017040208f3d10e152f54a42
Publikováno v:
Patterns, Vol 1, Iss 3, Pp 100038- (2020)
Single-molecule localization microscopy (SMLM) is a relatively new imaging modality, winning the 2014 Nobel Prize in Chemistry, and considered as one of the key super-resolution techniques. SMLM resolution goes beyond the diffraction limit of light m
Externí odkaz:
https://doaj.org/article/6a0a48c7f02e46159652250ba7cf09d1
Publikováno v:
Scientific Reports, Vol 8, Iss 1, Pp 1-15 (2018)
Abstract Quantitative approaches to analyze the large data sets generated by single molecule localization super-resolution microscopy (SMLM) are limited. We developed a computational pipeline and applied it to analyzing 3D point clouds of SMLM locali
Externí odkaz:
https://doaj.org/article/a27e59028cde44fbb21695413a32161e
Publikováno v:
IEEE Access. 11:6665-6672
Autor:
Bharat H. Joshi, Timothy H. Wong, Ismail M. Khater, Ivan R. Nabi, Mona Shahsavari, Ghassan Hamarneh
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
Scientific Reports
Scientific Reports
Caveolin-1 (CAV1), the caveolae coat protein, also associates with non-caveolar scaffold domains. Single molecule localization microscopy (SMLM) network analysis distinguishes caveolae and three scaffold domains, hemispherical S2 scaffolds and smalle
Publikováno v:
IET Networks, Vol 8, Iss 1, Pp 15-31 (2019)
Optimising the overall power in a cluster-assisted internet of things (IoT) network is a challenging problem for emerging IoT applications. In this study, the authors propose a mathematical model for the cluster-assisted IoT network. The cluster-assi
Publikováno v:
Scientific Reports
Scientific Reports, Vol 9, Iss 1, Pp 1-10 (2019)
Scientific Reports, Vol 9, Iss 1, Pp 1-10 (2019)
Caveolin-1 (Cav1), the coat protein for caveolae, also forms non-caveolar Cav1 scaffolds. Single molecule Cav1 super-resolution microscopy analysis previously identified caveolae and three distinct scaffold domains: smaller S1A and S2B scaffolds and
Publikováno v:
PLoS ONE
PLoS ONE, Vol 14, Iss 8, p e0211659 (2019)
PLoS ONE, Vol 14, Iss 8, p e0211659 (2019)
Caveolae are plasma membrane invaginations whose formation requires caveolin-1 (Cav1), the adaptor protein polymerase I, and the transcript release factor (PTRF or CAVIN1). Caveolae have an important role in cell functioning, signaling, and disease.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b290e992e40caf892dab3a3168256269
https://doi.org/10.1101/526327
https://doi.org/10.1101/526327