Results 41 to 50 of about 440,549 (202)
Harnessing Machine Learning to Understand and Design Disordered Solids
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source
ABSTRACT Mayonnaise, a widely consumed oil‐in‐water emulsion, is highly susceptible to lipid oxidation due to its high content of polyunsaturated fatty acids (PUFAs) and the presence of pro‐oxidant factors such as low pH and iron from egg yolk. Over the past three decades, extensive research has focused on understanding oxidation mechanisms, analytical
Sakhi Ghelichi +2 more
wiley +1 more source
ABSTRACT Maintaining consistent cellular physiology during bioprocess scale‐up or scale‐down is key to developing robust processes. However, the reliability of scale‐down bioreactor systems remains debated. Although the calibration of physiological parameters in mechanistic models across scales has been proposed as a scale‐down strategy, few studies ...
Fabian Schröder‐Kleeberg +8 more
wiley +1 more source
A Fully Affine Invariant Feature Detector
This paper proposes a Fully Affine Invariant Feature (FAIF) detector which is based on affine Gaussian scale-space. The covariance matrix of Maximally Stable Extremal Region is interpreted as an isotropy measure of an image patch.
Shi ZL(史泽林) +2 more
core
The Effect of Variable Na/K on the CO2 Content of Slab‐Derived Rhyolitic Melts
This book is Open Access. A digital copy can be downloaded for free from Wiley Online Library.
Explores the behavior of carbon in minerals, melts, and fluids under extreme conditions
Carbon trapped in diamonds and carbonate-bearing rocks in subduction zones are examples of the continuing exchange of substantial carbon ...
Michelle Muth +2 more
wiley +2 more sources
Abstract High performance countercurrent membrane purification (HPCMP) has emerged as a promising diffusive separation strategy for the purification of recombinant proteins and monoclonal antibodies (mAbs). However, prior studies employed dialysis membranes, which are designed for diffusive separations but have not been validated for biopharmaceutical ...
Aylin Mohammadzadehmarandi +8 more
wiley +1 more source
On extended structures in affine Toda field theory [PDF]
Two areas of affine Toda field theory are explored in this thesis. First the introduction of a boundary into the real coupling affine Toda field theory.
Harder, Ulrich Karl Priedrich
core
Establishment of Closed‐Loop Methanol Feedback Precision Control System for Alkaline Phosphatase by Hansenula polymorpha. The electronic nose screened model for methanol detection as the core technical logic of online gas quantification. Methanol feedback control strategy for greatly elevating alkaline phosphatase production.
Jian‐Guang Liang +6 more
wiley +1 more source
Global topological classification of Lotka-Volterra quadratic differential systems
The Lotka-Volterra planar quadratic differential systems have numerous applications but the global study of this class proved to be a challenge difficult to handle.
Dana Schlomiuk, Nicolae Vulpe
doaj
ABSTRACT Deep learning‐based long time series forecasting (LTSF) has achieved high accuracy by effectively capturing the underlying trends, seasonality, and temporal dependencies within time series data. However, at the individual entity level, termed the low aggregation level (LAL), intermittency, irregularity, and data sparsity undermine the ...
Hanbyeol Park +5 more
wiley +1 more source

