Results 71 to 80 of about 3,205,083 (363)

The Necessity of Dynamic Workflow Managers for Advancing Self‐Driving Labs and Optimizers

Advanced Intelligent Discovery, EarlyView.
We assess the maturity and integration readiness of key methodologies for Materials Acceleration Platforms, highlighting the need for dynamic workflow managers. Demonstrating this, we integrate PerQueue into a color‐mixing robot, showing how flexible orchestration improves coordination and optimization.
Simon K. Steensen, Patrick W. V. Butler, Jesper R. Pedersen, Nis Fisker‐Bødker, Tejs Vegge, Jin Hyun Chang, Ivano E. Castelli   +6 more
wiley   +1 more source

Which Biology Marker Can be a Predictor for Higher Syntax Score?

Indonesian Biomedical Journal, 2014
BACKGROUND: Syntax score is a lesion-based angiographic scoring system, originally devised to grade the anatomic complexity of coronary artery disease (CAD) and thereby facilitate consensus in the study of a diagnostic angiogram between surgeons and ...
Linda Lison, Irawan Yusuf, Bambang Sutrisna, Peter Kabo, Teguh Santoso, Ferry Sandra   +5 more
doaj   +1 more source

A Survey of Word Reordering in Statistical Machine Translation: Computational Models and Language Phenomena [PDF]

, 2016
Word reordering is one of the most difficult aspects of statistical machine translation (SMT), and an important factor of its quality and efficiency. Despite the vast amount of research published to date, the interest of the community in this problem has
Bisazza, Arianna, Federico, Marcello
core   +2 more sources

Prognostic value of the SYNTAX and residual SYNTAX Scores in NSTE-ACS

Archives of Cardiovascular Diseases Supplements, 2020
Background The residual SYNTAX score (RSS) quantitatively assesses angiographic completeness of revascularization after percutaneous coronary intervention (PCI). Objective The purpose of this study was to determine whether the RSS could predict one-year mortality more than Syntax score in patients with NSTE-ACS.
Farouk Boukerche, H. Aoumeur, Nadia Laredj, Leila Hammou   +3 more
openaire   +2 more sources

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

The relationship between the prevalence and complexity of coronary artery disease and aortic stiffness in myocardial infarction patients without ST-segment elevation

International Journal of the Cardiovascular Academy, 2020
Background: The relationship between elastic properties of the aorta and presence of coronary artery disease (CAD) has been investigated in previous studies. However, the relationship of aortic stiffness (AS) with extent and complexity of CAD in patients
Yildirim Arafat, Mehmet Kucukosmanoglu, Gur Mustafa   +2 more
doaj   +1 more source

A Risk-Stratification Machine Learning Framework for the Prediction of Coronary Artery Disease Severity: Insights From the GESS Trial

Frontiers in Cardiovascular Medicine, 2022
Our study aims to develop a data-driven framework utilizing heterogenous electronic medical and clinical records and advanced Machine Learning (ML) approaches for: (i) the identification of critical risk factors affecting the complexity of Coronary ...
Nikolaos Mittas, Fani Chatzopoulou, Fani Chatzopoulou, Konstantinos A. Kyritsis, Christos I. Papagiannopoulos, Nikoleta F. Theodoroula, Andreas S. Papazoglou, Efstratios Karagiannidis, Georgios Sofidis, Dimitrios V. Moysidis, Nikolaos Stalikas, Anna Papa, Dimitrios Chatzidimitriou, Georgios Sianos, Lefteris Angelis, Ioannis S. Vizirianakis, Ioannis S. Vizirianakis   +16 more
doaj   +1 more source

lassopack: Model selection and prediction with regularized regression in Stata [PDF]

, 2019
This article introduces lassopack, a suite of programs for regularized regression in Stata. lassopack implements lasso, square-root lasso, elastic net, ridge regression, adaptive lasso and post-estimation OLS.
Athey S., Huang J., Shao J., Tikhonov A. N., Van der Kooij A., Yang Y., Zhao P.   +6 more
core   +2 more sources

Advanced Experiment Design Strategies for Drug Development

Advanced Intelligent Discovery, EarlyView.
Wang et al. analyze 592 drug development studies published between 2020 and 2024 that applied design of experiments methodologies. The review surveys both classical and emerging approaches—including Bayesian optimization and active learning—and identifies a critical gap between advanced experimental strategies and their practical adoption in ...
Fanjin Wang, Anthony Harker, Mohan Edirisinghe, Maryam Parhizkar   +3 more
wiley   +1 more source

Association between Obstructive Sleep Apnea and SYNTAX Score

Journal of Clinical Medicine, 2020
Obstructive sleep apnea (OSA) is related to an increased risk of cardiovascular diseases, including coronary artery disease (CAD). We investigated the association between OSA and the severity of CAD by assessing coronary angiography findings.
S. Ishiwata, Y. Tomita, S. Ishiwata, K. Narui, H. Daida, T. Kasai   +5 more
semanticscholar   +1 more source