Results 11 to 20 of about 3,412 (182)
A model driven approach to building implementable model transformations [PDF]
The OMG's Model Driven Architecture (MDA) initiative has been the focus of much attention in both academia and industry, due to its promise of more rapid and consistent software development through the increased use of models.
Venkatesh, R. +4 more
core +9 more sources
A Pattern Based Model Driven Approach to Model Transformations [PDF]
The OMG's Model Driven Architecture (MDA) initiative has been the focus of much attention in both academia and industry, due to its promise of more rapid and consistent software development through the increased use of models.
Venkatesh, R. +4 more
core +9 more sources
Quantifying physiological variability and improving reproducibility in 4D-flow MRI cerebrovascular measurements with self-supervised deep learning. [PDF]
Magn Reson MedAbstract Purpose To assess the efficacy of self‐supervised deep learning (DL) denoising in reducing measurement variability in 4D‐Flow MRI, and to clarify the contributions of physiological variation to cerebrovascular hemodynamics. Methods A self‐supervised DL denoising framework was trained on 3D radially sampled 4D‐Flow MRI data.
Jolicoeur BW +5 more
europepmc +2 more sources
Management of pregnancy and childbirth in Glanzmann thrombasthenia: A case series and review. [PDF]
Br J HaematolTo illustrate the challenges in the management of women with Glanzmann thrombasthenia (GT) planning a pregnancy, we conducted a literature review and present a case series of eight women giving detailed descriptions of reproductive health problems, platelet alloimmunisation, treatment to prevent post‐partum haemorrhage and neonatal outcomes.
Rutten KHG +9 more
europepmc +2 more sources
Closing the Translational Gap: Closed-Loop AI Discovery Frameworks for Experimental Validation and Clinical Implementation in Cancer Therapeutics. [PDF]
Cancer MedArtificial intelligence accelerates cancer therapeutic development through an iterative, closed‐loop pipeline: from AI‐driven target and drug discovery, through automated synthesis and screening, to experimental validation in in vivo tumor models, culminating in clinical translation guided by patient data.
Ören Varol T, Varol M.
europepmc +2 more sources
Issues surrounding model consistency and QVT. [PDF]
This document is intended to outline some of the issues surrounding model consistency in the context of QVT. As far as possible this document is intended to be independent of any particular QVT submission, although we do borrow some terminology from the QVT-Partners submission ...
Tratt, Laurence, Clark, Anthony
core +7 more sources
Issues surrounding model consistency and QVT. [PDF]
, 2003 This document is intended to outline some of the issues surrounding model consistency in the context of QVT. As far as possible this document is intended to be independent of any particular QVT submission, although we do borrow some terminology from the QVT-Partners submission.
Tratt, Laurence, Clark, Tony
core +3 more sources
Model transformations in Converge [PDF]
Model transformations are currently the focus of much interest and research due to the OMG’s QVT initiative. Current proposals for model transformation languages can be divided into two main camps: those taking a ‘declarative’ approach, and those opting
Tratt, Laurence, Clark, Tony
core +9 more sources
Journal of Phytopathology, Volume 171, Issue 9, Page 478-488, September 2023., 2023 Abstract Phytophthora species have long been reported to cause Phytophthora disease in citrus with symptoms of gummosis, root rot and fruit brown rot. Due to the lack of an up‐to‐date investigation of Phytophthora species currently causing the disease in Northern Vietnam, this study aimed to determine the current Phytophthora species associated with ...
Quang Van Tran +3 more
wiley +1 more source
Molecular Oncology, Volume 16, Issue 22, Page 3916-3926, December 2022., 2022 This study presents the first evaluation of two new highly multiplexed PCR assays as compared with next‐generation sequencing (NGS): an automated qPCR on the PGX platform and an allele‐specific droplet digital PCR (ddPCR) assay, both designed to detect most IDH1 and IDH2 hotspot mutations.
Loetitia Favre +10 more
wiley +1 more source