Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Phu H Nguyen"'
Autor:
Linh V Nguyen, Quang V Ta, Thao B Dang, Phu H Nguyen, Thach Nguyen, Thi Van Huyen Pham, Trang Ht Nguyen, Stephen Baker, Trung Le Tran, Dong Joo Yang, Ki Woo Kim, Khanh V Doan
Publikováno v:
PLoS ONE, Vol 14, Iss 11, p e0224674 (2019)
Catecholamine excess reflecting an adrenergic overdrive of the sympathetic nervous system (SNS) has been proposed to link to hyperleptinemia in obesity and may contribute to the development of metabolic disorders. However, relationship between the ca
Externí odkaz:
https://doaj.org/article/c9a1864045ae49d3b550fbfdb619acf8
Autor:
Dien. M. Tran, Dem. V. Pham, Tung. V. Cao, Canh. N. Hoang, Ha. T. T. Nguyen, Giang. D. Nguyen, Cuong. N. Le, Quan. Q. Thieu, Tuan. A. Ta, Hung. V. Dau, Chi. Q. Le, Quang. H. Le, Nghiem. T. Luong, Mai. T. Tran, Phu. H. Nguyen, Nhung. T. Nguyen, Phuc. H. Phan
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Multisystemic inflammatory syndrome in children (MIS-C) might manifest in a broad spectrum of clinical scenarios, ranging from mild features to multi-organ dysfunction and mortality. However, this novel entity has a heterogenicity of data re
Externí odkaz:
https://doaj.org/article/bcb648e31ad548c8a9c63da9ae09a086
Autor:
Justin A Green, Chau T H Tran, Jeremy J Farrar, Mai T H Nguyen, Phu H Nguyen, Sinh X Dinh, Nghia D T Ho, Chuong V Ly, Hien T Tran, Jon S Friedland, Guy E Thwaites
Publikováno v:
PLoS ONE, Vol 4, Iss 9, p e7277 (2009)
BACKGROUND:Adjunctive dexamethasone reduces mortality from tuberculous meningitis, but how it produces this effect is not known. Matrix metalloproteinases (MMPs) are important in the immunopathology of many inflammatory CNS diseases thus we hypothesi
Externí odkaz:
https://doaj.org/article/c9482471ebb744fa8c3dd745fe8ff8d4
Publikováno v:
IEEE Access, Vol 10, Pp 37422-37445 (2022)
Many companies migrate to microservices because they help deliver value to customers quickly and continuously. However, like any architectural style, microservices are prone to architectural technical debt (ATD), which can be costly if the debts are
Externí odkaz:
https://doaj.org/article/5ddc436f32934999ae6dfdeb5b68a468
Publikováno v:
Information and Software Technology
Context: It was common that software vendors sell licenses to their clients to use software products, such as Enterprise Resource Planning, which are deployed as a monolithic entity on clients’ premises. Moreover, many clients, especially big organ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::603cfadfdee8e91556583b23661818c0
https://hdl.handle.net/11250/3071076
https://hdl.handle.net/11250/3071076
Publikováno v:
Cybersecurity
Journal of Cybersecurity
Journal of Cybersecurity, 2022, 5 (2), ⟨10.1186/s42400-021-00104-7⟩
Journal of Cybersecurity, Oxford University Press, 2022, 5 (1), ⟨10.1186/s42400-021-00104-7⟩
Cybersecurity, Vol 5, Iss 1, Pp 1-29 (2022)
Journal of Cybersecurity
Journal of Cybersecurity, 2022, 5 (2), ⟨10.1186/s42400-021-00104-7⟩
Journal of Cybersecurity, Oxford University Press, 2022, 5 (1), ⟨10.1186/s42400-021-00104-7⟩
Cybersecurity, Vol 5, Iss 1, Pp 1-29 (2022)
International audience; Abstract Security of the Internet of Things (IoT)-based Smart Systems involving sensors, actuators and distributed control loop is of paramount importance but very difficult to address. Security patterns consist of domain-inde
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cfad83a2de637b3a6cefa5590252c5bb
https://hdl.handle.net/11250/3012177
https://hdl.handle.net/11250/3012177
Sharing real-time data originating from connected devices is crucial to real-world intelligent Internet of Things (IoT) applications, i.e., based on artificial intelligence/machine learning (AI/ML). Such IoT data sharing involves multiple parties for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5677f1ef43f4d762ce9d8c58800c5b91
https://hdl.handle.net/11250/3054410
https://hdl.handle.net/11250/3054410
Autor:
Beatriz Bretones Cassoli, Nicolas Jourdan, Phu H. Nguyen, Sagar Sen, Enrique Garcia-Ceja, Joachim Metternich
Publikováno v:
Procedia CIRP
Recent advances in the manufacturing industry have enabled the deployment of Cyber-Physical Systems (CPS) at scale. By utilizing advanced analytics, data from production can be analyzed and used to monitor and improve the process and product quality.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5bd49707f1cc788f2f9990054284dd71
https://hdl.handle.net/11250/3054780
https://hdl.handle.net/11250/3054780
Publikováno v:
SEAA
It was common that software vendors sell licenses to their clients to use software products, such as Enterprise Resource Planning, which are deployed as a monolithic entity on clients’ premises. Moreover, many clients, especially big organizations,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bea6c420df8de4948798366ea9d8f5d8
https://doi.org/10.1109/seaa53835.2021.00030
https://doi.org/10.1109/seaa53835.2021.00030
Publikováno v:
COMPSAC
Effective assessment of cyber risks in the increasingly dynamic threat landscape must be supported by artificial intelligence techniques due to their ability to dynamically scale and adapt. This article provides the state of the art of AI-supported s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95a1499e1a77e156a1bb1b8ffecad49b
https://doi.org/10.1109/compsac51774.2021.00107
https://doi.org/10.1109/compsac51774.2021.00107