Results 151 to 160 of about 6,618 (260)

Bayesian Optimization Guiding the Experimental Mapping of the Pareto Front of Mechanical and Flame‐Retardant Properties in Polyamide Nanocomposites

Advanced Intelligent Discovery, Volume 2, Issue 3, June 2026.
Bayesian optimization enabled the design of PA56 system with just 8 wt% additives, achieving limiting oxygen index 30.5%, tensile strength 80.9 MPa, and UL‐94 V‐0 rating. Without prior knowledge, the algorithm uncovered synergistic effects between aluminum diethyl‐phosphinate and nanoclay.
Burcu Ozdemir, Miguel Hernández‐del‐Valle, Christina Schenk, De‐Yi Wang, Maciej Haranczyk   +4 more
wiley   +1 more source

Efficient Cardiovascular Parameters Estimation for Fluid-Structure Simulations Using Gappy Proper Orthogonal Decomposition. [PDF]

Ann Biomed Eng
Deus J, Martin E.
europepmc   +1 more source

Beyond Beer‐Lambert Linear Regression: Multi‐Layer Modeling for Wide‐Range Concentration Quantification Using Ultraviolet‐visible Spectroscopy

Analytical Science Advances, Volume 7, Issue 1, June 2026.
ABSTRACT Ultraviolet–visible (UV‐Vis) spectroscopy is widely used for chemical quantification due to its simplicity and low cost; however, accurate concentration prediction becomes challenging when target concentrations span wide ranges, where the global linearity assumption of the Beer‐Lambert law often breaks down.
Muhammed ALjifri, Carter Miller, Yanjun Qian, Ye Chen, Mo Jiang   +4 more
wiley   +1 more source

Synthesis of a C‐2 Functionalized l‐Iduronic Acid Derivative as a Candidate Pharmacological Chaperone for MPS II (Hunter Syndrome)

Chemistry – An Asian Journal, Volume 21, Issue 11, 15 June 2026.
A C‐2 functionalized l‐iduronic acid derivative was designed and synthesized as a candidate pharmacological chaperone for iduronate‐2‐sulfatase (IDS), the enzyme involved in the lysosomal storage disease MPS II (Hunter syndrome). The synthesis overcomes significant synthetic challenges associated with manipulations of L‐ido scaffolds.
Vaibhavi Nagendra, Shifaza Mohamed, Nicholas W. See, Norbert Wimmer, Daniel Neumann, Paul J. Trim, Marten Snel, Aidan J. Brock, Jack K. Clegg, Neha S. Gandhi, Kim M. Hemsley, Adeline A. Lau, Vito Ferro   +12 more
wiley   +1 more source

Addressing Small Data Challenges in Biopharmaceutical Development and Manufacturing: A Mini Review of Multi‐Fidelity Techniques

Biotechnology and Bioengineering, Volume 123, Issue 6, Page 1465-1480, June 2026.
ABSTRACT The growing demand for biopharmaceutical products reflects their effectiveness in medical treatments. However, developing new biopharmaceuticals remains a major bottleneck, often taking up to a decade before market approval. Machine learning (ML) models have the potential to accelerate this process, but their success depends on access to large
Mohammad Golzarijalal, Uwe Aickelin, Ellen Otte   +2 more
wiley   +1 more source

From Design of Experiments to Analysis of Variance of Multivariate Data: A Tutorial Review on ANOVA Simultaneous Component Analysis

Journal of Chemometrics, Volume 40, Issue 6, June 2026.
ABSTRACT ANOVA simultaneous component analysis (ASCA) is the current state‐of‐the‐art chemometric tool for analyzing and interpreting high‐dimensional experimental data from a design of experiments (DoE). Being a multivariate extension of the ANOVA, ASCA makes a perfect tandem with DoE.
José Camacho, Jokin Ezenarro, Daniel Schorn‐García, Johan A. Westerhuis   +3 more
wiley   +1 more source

Conceptual Differences Between Hyperspectral Unmixing, PCA, and Clustering: A Practical Demonstration Using Single‐Cell Raman Imaging

Journal of Chemometrics, Volume 40, Issue 6, June 2026.
ABSTRACT Hyperspectral unmixing is a well‐established approach for analyzing spectroscopic images by recovering chemically interpretable component spectra and their spatial distributions. Despite its distinct analytical objective, unmixing is frequently discussed alongside or directly compared with more familiar multivariate techniques such as ...
Rustam R. Guliev, Ute Neugebauer
wiley   +1 more source

CALPUCK: An Open Python Tool for Cremer–Pople Ring Puckering Analysis Including a New 2D Mapping of Seven‐Membered Rings

ChemPlusChem, Volume 91, Issue 6, June 2026.
CALPUCK is a free, open‐source Python tool for Cremer–Pople puckering analysis of five‐, six‐, and seven‐membered rings. It introduces a novel two‐dimensional mapping for seven‐membered systems, enabling intuitive visualization of their complex conformational landscapes and facilitating rapid classification of ring conformers.
Filippo Protti, Lucio Toma, Giuseppe Zanoni, Emanuele Casali   +3 more
wiley   +1 more source

Avocado Oil: Commercial Hass Versus Other Varieties—Fatty Acid Profile and Quality

European Journal of Lipid Science and Technology, Volume 128, Issue 6, June 2026.
Avocado oils vary in their fatty acid profiles depending on the variety. We compared commercial Hass avocado oils with local Brazilian varieties and olive oils, finding that some non‐commercial varieties, such as Primavera and Galavote, exhibit a quality similar to olive oil.
Wilton Soares Cardoso, Isadora Peterli Altoé, Ismael da Costa Falqueto, Flávia de Abreu Pinheiro, Fabio Júnior Moreira Novaes, Maria Eliana Queiroz, Sávio Berili   +6 more
wiley   +1 more source

Tracing Flow Pathways of Nutrients in Dairy Farms—An End Member Mixing Analysis Approach

Hydrological Processes, Volume 40, Issue 6, June 2026.
Farm drain water at both farms was consistently a mixture of event water (rainwater and irrigation water) and soil water, which represent surface runoff and shallow subsurface soil flow, respectively. The dominance of end members varied between farms and events and was controlled by surface roughness, microtopography, and antecedent soil moisture ...
Jonah Lee Bas, Andrew W. Western, Perran Cook, Ziming He, Wei Wen Wong, Robert Sargent, Anna Lintern   +6 more
wiley   +1 more source