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Published in 2025 at "Biotechnology and Bioengineering"
DOI: 10.1002/bit.70026
Abstract: Determining accurate kinetic models for new biochemical systems is time‐intensive, requiring experimental data collection, model construction, validation, and discrimination. Traditional black‐box machine learning‐based transfer learning methods leverage prior knowledge but lack interpretability and physical insights.…
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Keywords:
structural transfer;
model construction;
transfer learning;
model ... See more keywords
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Published in 2017 at "Journal of Non-crystalline Solids"
DOI: 10.1016/j.jnoncrysol.2017.05.030
Abstract: Abstract We have established a relationship between the viscosity activation energy of metaphosphate melts and the NMR chemical shift anisotropy of phosphorus that is measured in their corresponding glasses, and proposed a model by which…
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Keywords:
viscosity;
network;
network phosphate;
model construction ... See more keywords
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Published in 2024 at "IEEE Transactions on Antennas and Propagation"
DOI: 10.1109/tap.2023.3346050
Abstract: Deep-learning-assisted antenna design methods such as surrogate models have gained significant popularity in recent years due to their potential to greatly increase design efficiencies by replacing the time-consuming full-wave electromagnetic (EM) simulations. A large number…
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Keywords:
model construction;
lstm networks;
antenna;
model ... See more keywords
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Published in 2022 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2021.3087189
Abstract: The problem of model construction of finite state machines (FSMs) from observed data is addressed by borrowing the methods and ideas of system identification in control theory. The construction contains three steps. Firstly, the dynamic…
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Keywords:
observed data;
finite state;
model construction;
construction ... See more keywords
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Published in 2022 at "IEEE Transactions on Software Engineering"
DOI: 10.1109/tse.2021.3060344
Abstract: In 2009, Moody introduced nine principles for evaluating, improving and designing cognitively effective notations called the “Physics of Notations” [49] motivating many research works ever since, being cited more than 1250 times at the time…
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Keywords:
physics;
physics notations;
model construction;
effect ... See more keywords
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Published in 2024 at "Skin Research and Technology"
DOI: 10.1111/srt.70087
Abstract: The use of dermatoscopes is constantly increasing globally, but to date, there are no studies on the use of dermatoscopes by Chinese dermatologists.
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Keywords:
model construction;
multivariate analysis;
construction dermatoscope;
analysis prediction ... See more keywords
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Published in 2025 at "Science Advances"
DOI: 10.1126/sciadv.adw2825
Abstract: Image-based modeling is essential for understanding cardiovascular hemodynamics and advancing the diagnosis and treatment of cardiovascular diseases. Constructing patient-specific vascular models remains labor-intensive, error-prone, and time-consuming, limiting their clinical applications. This study introduces a deep-learning…
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Keywords:
patient specific;
powered automated;
model construction;
vascular models ... See more keywords
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Published in 2018 at "BMJ Open"
DOI: 10.1136/bmjopen-2017-021129
Abstract: Objective To investigate under what circumstances inappropriate use of ‘multivariate analysis’ is likely to occur and to identify the population that needs more support with medical statistics. Study design and settings The frequency of inappropriate…
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Keywords:
medical statistics;
model construction;
analysis;
inappropriate regression ... See more keywords
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1
Published in 2022 at "Frontiers in Psychology"
DOI: 10.3389/fpsyg.2022.750713
Abstract: Science historians have recognized the importance of heuristic reasoning strategies for constructing theories, but their extent and degree of organization are still poorly understood. This paper first consolidates a set of important heuristic strategies for…
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Keywords:
heuristic reasoning;
reasoning processes;
model construction;
model ... See more keywords