Zobrazeno 1 - 10
of 2 543
pro vyhledávání: '"A. ZAHA"'
Autor:
Grigorescu, Sorin, Zaha, Mihai
Publikováno v:
Journal of Field Robotics, August 2024, pp. 1-19
The underlying framework for controlling autonomous robots and complex automation applications are Operating Systems (OS) capable of scheduling perception-and-control tasks, as well as providing real-time data communication to other robotic peers and
Externí odkaz:
http://arxiv.org/abs/2409.01241
Autor:
Sura Al Zoubi, Lobna Gharaibeh, Enas A. Amaireh, Husam AlSalamat, Mohammad Ghassab Deameh, Amjad Almansi, Yaqeen Majed Al Asoufi, Hadeel Alshahwan, Zaha Al-Zoubi
Publikováno v:
BMC Health Services Research, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background Medication errors are preventable incidents resulting from improper use of drugs that may cause harm to patients. They thus endanger patient safety and offer a challenge to the efficiency and efficacy of the healthcare system. Bot
Externí odkaz:
https://doaj.org/article/a43eb407fa184e6bbbbd8a7ead85e63c
Quantitative PET attenuation correction (AC) for combined cardiac PET/MR is a challenging problem. We propose and evaluate an AC approach that uses coincidences from a relatively weak and physically fixed sparse external source, in combination with t
Externí odkaz:
http://arxiv.org/abs/2212.14478
Autor:
Nicoleta-Larisa Șerban, Ioan Stefan Florian, Ioan Alexandru Florian, Andreea Atena Zaha, Daniela Ionescu
Publikováno v:
Frontiers in Surgery, Vol 11 (2024)
ObjectiveDecompressive craniectomy (DC) serves as a vital life-saving intervention, demonstrating efficacy in reducing intracranial pressure (ICP). However, its efficacy hinges on meticulous surgical execution, perioperative management, and vigilance
Externí odkaz:
https://doaj.org/article/3dc32de902ee40cab5149cc0b0953a64
Publikováno v:
Experimental Physiology, Vol 109, Iss 2, Pp 202-213 (2024)
Abstract Preclinical data strongly suggest that myocardial steatosis leads to adverse cardiac remodelling and left ventricular dysfunction. Using 1H cardiac magnetic resonance spectroscopy, similar observations have been made across the spectrum of h
Externí odkaz:
https://doaj.org/article/e03bfa49bdb94edd8888205abeb8adae
Autor:
Natalia Zaporojan, Rodica Anamaria Negrean, Ramona Hodișan, Claudiu Zaporojan, Andrei Csep, Dana Carmen Zaha
Publikováno v:
Clinics and Practice, Vol 14, Iss 2, Pp 388-416 (2024)
Tuberculosis (TB) is an infectious disease of global public health importance caused by the Mycobacterium tuberculosis complex. Despite advances in diagnosis and treatment, this disease has worsened with the emergence of multidrug-resistant strains o
Externí odkaz:
https://doaj.org/article/e3fd2d60b1a644f3bfe1b452fecb90f2
Autor:
Laura Țiburcă, Dana Carmen Zaha, Maria Claudia Jurca, Emilia Severin, Aurora Jurca, Alexandru Daniel Jurca
Publikováno v:
Current Issues in Molecular Biology, Vol 46, Iss 3, Pp 1651-1667 (2024)
Aminopeptidases are a group of enzymatic proteins crucial for protein digestion, catalyzing the cleavage of amino acids at the N-terminus of peptides. Among them are ERAP1 (coding for endoplasmic reticulum aminopeptidase 1), ERAP2 (coding for endopla
Externí odkaz:
https://doaj.org/article/5b17cbe7fb8f4da099c2b2e8c245293d
Autor:
Faiq Murteza, Chabib Fachry Albab, Almas Talida Habibah, Achmad Fayyad Mas’udi, Vemaniarti Lian Pravitasari, Arya Satya Rajanagara, Zaha El-Ma’i
Publikováno v:
Folia Medica Indonesiana, Vol 59, Iss 4, Pp 418-427 (2023)
The Synergy between Percutaneous Coronary Intervention with Taxus and Cardiac Surgery (SYNTAX) score was designed to predict the post-procedural risk associated with percutaneous coronary intervention (PCI) or surgical revascularization. This study a
Externí odkaz:
https://doaj.org/article/161aa23401eb4fbdba81f939f3a26ecf
ObserveNet Control: A Vision-Dynamics Learning Approach to Predictive Control in Autonomous Vehicles
Autor:
Ginerica, Cosmin, Zaha, Mihai, Gogianu, Florin, Busoniu, Lucian, Trasnea, Bogdan, Grigorescu, Sorin
Publikováno v:
IEEE Robotics and Automation Letters, 2021
A key component in autonomous driving is the ability of the self-driving car to understand, track and predict the dynamics of the surrounding environment. Although there is significant work in the area of object detection, tracking and observations p
Externí odkaz:
http://arxiv.org/abs/2107.08690
Autor:
Taylor, Lauren L., Hong, Arthur S., Hahm, Kristine, Kim, Dohyeong, Smith-Morris, Carolyn, Zaha, Vlad G.
Publikováno v:
In JACC: CardioOncology June 2024 6(3):363-380