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   Articles with "models predict" as a keyword



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Semianalytical models to predict the crystallization kinetics of thermoplastic fibrous composites

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recommendations! Published in 2017 at "Journal of Applied Polymer Science"

DOI: 10.1002/app.44508

Abstract: The growing interest for continuous fiber-reinforced polymer composites leads to the development of new processes such as resin transfer molding for thermoplastics (RTM-TP) or tape placement. In the aim of optimization, their simulations are required… read more here.

Keywords: predict crystallization; crystallization; kinetics thermoplastic; semianalytical models ... See more keywords

Explainable Machine Learning Models to Predict Gibbs–Donnan Effect During Ultrafiltration and Diafiltration of High‐Concentration Monoclonal Antibody Formulations

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recommendations! Published in 2024 at "Biotechnology Journal"

DOI: 10.1002/biot.202400212

Abstract: Evaluating the Gibbs–Donnan and volume exclusion effects during protein ultrafiltration and diafiltration (UF/DF) is crucial in biopharmaceutical process development to precisely control the concentration of the drug substance in the final formulation. Understanding the interactions… read more here.

Keywords: ultrafiltration diafiltration; gibbs donnan; donnan; predict gibbs ... See more keywords
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Models to predict disease‐free survival for hepatocellular carcinoma patients with surgical resections

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recommendations! Published in 2020 at "Journal of Surgical Oncology"

DOI: 10.1002/jso.26169

Abstract: Precise prognostic prediction for an individual hepatocellular carcinoma (HCC) patient before and after liver resection is important. We aimed to establish simple prognostic models to predict disease‐free survival (DFS) for these patients. read more here.

Keywords: hepatocellular carcinoma; predict disease; free survival; disease free ... See more keywords

A comparative study of models to predict storm impact on beaches

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recommendations! Published in 2017 at "Natural Hazards"

DOI: 10.1007/s11069-017-2830-6

Abstract: The storm impact scale of Sallenger (J Coast Res 890–895, 2000) was tested on a partially engineered beach. This scale is supposed to provide a convenient tool for coastal managers to categorize the storm impact… read more here.

Keywords: impact; study models; comparative study; storm impact ... See more keywords

Models to predict the thermal state of rice stored in aerated vertical silos

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recommendations! Published in 2017 at "Biosystems Engineering"

DOI: 10.1016/j.biosystemseng.2017.06.013

Abstract: The thermal state of the rice mass in steel vertical silo with an aeration system, located in a rice storage facility in Rio Grande do Sul State, Brazil, was studied. Data obtained by thermometry system… read more here.

Keywords: state; temperature; state rice; thermal state ... See more keywords

Logistic models to predict olive anthracnose under field conditions

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recommendations! Published in 2021 at "Crop Protection"

DOI: 10.1016/j.cropro.2021.105714

Abstract: Abstract Olive anthracnose (OA), caused by Colletotrichum spp., is the most important disease affecting olive fruit. Key elements of OA epidemiology are known, but no tools are available for predicting OA development in the orchard… read more here.

Keywords: predict olive; anthracnose field; olive anthracnose; models predict ... See more keywords

Including urinary output to define AKI enhances the performance of machine learning models to predict AKI at admission.

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recommendations! Published in 2021 at "Journal of critical care"

DOI: 10.1016/j.jcrc.2021.01.003

Abstract: PURPOSE Acute kidney injury (AKI) is a prevalent and detrimental condition in intensive care unit patients. Most AKI predictive models only predict creatinine-triggered AKI (AKICr) and might underperform when predicting urine-output-triggered AKI (AKIUO). We aimed… read more here.

Keywords: urine output; admission; aki; output ... See more keywords

Fusing Raman Spectra with Fiber Metrics in Machine Learning Models That Predict the Physical-Mechanical Properties of Paper.

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recommendations! Published in 2025 at "Analytical chemistry"

DOI: 10.1021/acs.analchem.5c01768

Abstract: Wood pulp manufacturers regularly monitor specific sets of physical and mechanical properties of production pulps to ensure that they meet paper-maker product-quality targets. Conventional methods based on time-consuming manual procedures serve as cornerstones of pulp… read more here.

Keywords: physical mechanical; machine learning; pulp; paper ... See more keywords
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Climate change models predict decreases in the range of a microendemic freshwater fish in Honduras

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recommendations! Published in 2020 at "Scientific Reports"

DOI: 10.1038/s41598-020-69579-7

Abstract: Despite their incredible diversity, relatively little work has been done to assess impacts of climate change on tropical freshwater organisms. Chortiheros wesseli is a species of Neotropical cichlid (Cichlidae: Cichlinae) restricted to only a few… read more here.

Keywords: freshwater fish; habitat; change; climate change ... See more keywords
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Different bending models predict different dynamics of sedimenting elastic trumbbells.

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recommendations! Published in 2018 at "Soft matter"

DOI: 10.1039/c8sm00604k

Abstract: The main goal of this paper is to examine theoretically and numerically the impact of a chosen bending model on the dynamics of elastic filaments settling in a viscous fluid under gravity at low-Reynolds-number. We… read more here.

Keywords: bending angles; kratky porod; bending models; different bending ... See more keywords

Physiochemical Machine Learning Models Predict Operational Lifetimes of CH3NH3PbI3 Perovskite Solar Cells

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recommendations! Published in 2024 at "Journal of Materials Chemistry A"

DOI: 10.1039/d3ta06668a

Abstract: Halide perovskites are promising photovoltaic (PV) materials with the potential to lower the cost of electricity and greatly expand the penetration of PV if they can demonstrate long-term stability under... read more here.

Keywords: learning models; predict operational; operational lifetimes; machine learning ... See more keywords