Zobrazeno 1 - 10
of 744
pro vyhledávání: '"imr"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract We retrospectively investigated the relationship between cardiopulmonary exercise testing (CPET) parameters and coronary microvascular dysfunction (CMD) using a novel angiography-based index of microcirculatory resistance (AccuIMR) in patien
Externí odkaz:
https://doaj.org/article/b9095ce77b094370bd3a022098d7323c
Publikováno v:
CT Lilun yu yingyong yanjiu, Vol 33, Iss 4, Pp 487-496 (2024)
Objective: This study aimed to investigate the value of different iterative reconstruction algorithms for orbital computed tomography (CT). Methods: Orbital CT data from 31 patients were retrospectively collected from January to March 2024 at Beijing
Externí odkaz:
https://doaj.org/article/483258c40b354f1ea6521d750e52306d
Autor:
Aiste Matuleviciute-Stojanoska, Julia Sautier, Verena Bauer, Martin Nuessel, Volha Nizhnikava, Christian Stumpf, Thorsten Klink
Publikováno v:
European Journal of Radiology Open, Vol 13, Iss , Pp 100612- (2024)
Background: The purpose of this study was to compare CCTA images generated using HIR and IMR algorithm with the reference standard ICA, and to determine to what extend further improvements of IMR over HIR can be expected. Methods: This retrospective
Externí odkaz:
https://doaj.org/article/379edc61e14247bfab3dce261bbbf6c7
Publikováno v:
Tehnički Vjesnik, Vol 31, Iss 4, Pp 1304-1311 (2024)
The Intelligent Moving Robots (IMR) are designed to understand instructions and act accordingly in an independent manner. They use sensors that operate with the help of the Internet of Things(IoT) and Deep Learning (DL) for interpreting and navigatin
Externí odkaz:
https://doaj.org/article/3151751c48064a0e930b4257da662b85
Autor:
Ole Geir Solberg, Lars Aaberge, Gerhard Bosse, Thor Ueland, Lars Gullestad, Pål Aukrust, Knut Stavem
Publikováno v:
ESC Heart Failure, Vol 10, Iss 5, Pp 3216-3222 (2023)
Abstract Aims The aim of this study was to determine microvascular function in the acute phase of Takotsubo syndrome (TTS) and to identify inflammatory mediators that could reflect TTS‐induced pathology. Methods and results The study included 20 fe
Externí odkaz:
https://doaj.org/article/c5abd95e501945499cf477b68442d015
Publikováno v:
BMC Cardiovascular Disorders, Vol 23, Iss 1, Pp 1-13 (2023)
Abstract Objective The purpose of this meta-analysis is to evaluate the role of high-intensity statin pretreatment on coronary microvascular dysfunction in patients with coronary heart disease undergoing percutaneous coronary intervention (PCI). Meth
Externí odkaz:
https://doaj.org/article/9769ae38022949bc97d483bfdb88a041
Autor:
Nuria Martín-Ordiales, María Dolores Hidalgo, María Pilar Martín-Chaparro, Júlia Ballester-Plané, Maite Barrios
Publikováno v:
Behavioral Sciences, Vol 14, Iss 4, p 340 (2024)
The Illness Management and Recovery Scale (IMR-S) is based on the IMR program, developed to assess the recovery process for people with severe mental disorders by considering the perceptions of clients and clinicians involved in it. The aim of this s
Externí odkaz:
https://doaj.org/article/b6febd0716af4c20b8a47ac84a888430
Akademický článek
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Autor:
Ivan Ilic, Stefan Timcic, Maja Milosevic, Srdjan Boskovic, Natalija Odanovic, Matija Furtula, Milan Dobric, Srdjan Aleksandric, Petar Otasevic
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 10 (2023)
BackgroundMyocardial ischemia is caused by epicardial coronary artery stenosis or atherosclerotic disease affecting microcirculation. Trimetazidine (TMZ), promotes glucose oxidation which optimizes cellular energy processes in ischemic conditions. Sm
Externí odkaz:
https://doaj.org/article/8a9d99fcb872438f920ad0652931976b
Publikováno v:
ITM Web of Conferences, Vol 67, p 01040 (2024)
The measurement of infant mortality rate (IMR) stands as a crucial and complex indicator within global public health. Particularly for countries with constrained resources necessitating easily calculable and accurate gauges of population health, IMR
Externí odkaz:
https://doaj.org/article/db3c6564aec043c49f6a1670f3647d00