Results 161 to 170 of about 3,543 (266)

From Wind Turbine Blades to Recycled Glass Fibers: Analytical Modeling and Lab‐Scale Recycling Protocol

Polymer Composites, EarlyView.
Lab‐Scale Composite Dissolution Experiments were used for Prediction of Dissolution Duration. ABSTRACT Glass fiber‐reinforced thermosets are widely used in wind turbine blades. However, recycling these materials remains challenging because thermoset matrices cannot be remelted, and high‐temperature processes degrade glass fibers.
Agathe Navailles, Justine Beauson, Robert Pierce, Tom Andersen Løgstrup, Rajnish Kumar, Yi Chen, Stergios Goutianos   +6 more
wiley   +1 more source

Creating an indexing scheme for case series articles. [PDF]

BMC Med Res Methodol
Shahidehpour A, Holt AW, Troy AM, Menke JD, Smalheiser NR.   +4 more
europepmc   +1 more source

Accelerating virtual patient generation with a Bayesian optimization and machine learning surrogate model

CPT: Pharmacometrics &Systems Pharmacology, Volume 14, Issue 3, Page 486-494, March 2025.
Abstract The pharmaceutical industry has increasingly adopted model‐informed drug discovery and development (MID3) to enhance productivity in drug discovery and development. Quantitative systems pharmacology (QSP), which integrates drug action mechanisms and disease complexities to predict clinical endpoints and biomarkers is central to MID3.
Hiroaki Iwata, Ryuta Saito
wiley   +1 more source

Integrative Machine Learning Framework Revealing TRPM4-Associated Signatures and Identifying SPATA6 as a Potential Biomarker in Prostate Cancer. [PDF]

J Cancer
Zhou H, Mei W, Wang J, Liu X.
europepmc   +1 more source

A sample size analysis of a mathematical model of longitudinal tumor volume and progression‐free survival for Bayesian individual dynamic predictions in recurrent high‐grade glioma

CPT: Pharmacometrics &Systems Pharmacology, Volume 14, Issue 3, Page 495-509, March 2025.
Abstract Patients with recurrent high‐grade glioma (rHGG) have a poor prognosis with median progression‐free survival (PFS) of <7 months. Responses to treatment are heterogenous, suggesting a clinical need for prognostic models. Bayesian data analysis can exploit individual patient follow‐up imaging studies to adaptively predict the risk of progression.
Daniel J. Glazar, Solmaz Sahebjam, Hsiang‐Husan M. Yu, Dung‐Tsa Chen, Menal Bhandari, Heiko Enderling   +5 more
wiley   +1 more source

Clinical Profile of Young Adults Presenting to Primary Care Clinics: Insights and Future Directions. [PDF]

Indian J Psychol Med
Shetty T, Mullerpattan GS, Sivakami Sundari S, Hegde PR, Patley R, Manjunatha N, Kumar CN, Math SB.   +7 more
europepmc   +1 more source

A multimodel intercomparison study of variable‐resolution global models with grid refinement over the Arctic and Antarctic

Quarterly Journal of the Royal Meteorological Society, EarlyView.
We document the protocol and first results from the first ever coordinated multimodel variable‐resolution experiment set with refinement over the polar regions. We find that the refinement generally yields model‐dependent effects. The most consistent improvement is an amelioration of the upper‐level cold bias in the polar regions that translates into ...
Lise Seland Graff, Dörthe Handorf, Raphael Köhler, Xavier Levine, René R. Wijngaard, Gareth J. Marshall, Alexey Yu. Karpechko, Ryan S. Williams, Priscilla A. Mooney   +8 more
wiley   +1 more source

Engaging Latinx or Hispanic-Identifying Families in Science Education: A Longitudinal Intervention Study. [PDF]

J Educ Psychol
Jiang S, Woodcock A, Haddad K, Hernandez PR.   +3 more
europepmc   +1 more source

Increasing urban flash flood risk attributable to both climate and development

Quarterly Journal of the Royal Meteorological Society, EarlyView.
A new event impact attribution methodology that combines convection‐permitting climate model data with flood inundation modelling was used for a five‐hour flash‐flooding event in the suburbs of Leeds in 2014. The results show increased urban flood extent due to both climate change (+16%) and increased urbanisation (+29%).
Daniel F. Cotterill, Dann Mitchell, Peter A. Stott, Paul Bates, Youtong Rong, Leanne Archer   +5 more
wiley   +1 more source