Results 181 to 190 of about 102,837 (286)

A Machine Learning Approach to Predict Functional Performance From Measurable Protein Structural Characteristics: A Screening Tool for Protein Ingredient Quality

Proteins: Structure, Function, and Bioinformatics, EarlyView.
ABSTRACT The food industry is witnessing the emergence of specialized protein‐based functional ingredients for the use as gelling, thickening, and/or emulsifying agents in various food applications. Different sources of protein including species and cultivars, as well as variable processing conditions affect the protein's structural characteristics ...
Ronit Mandal, Sara Malvar, Ranveer Chandra, Baraem P. Ismail   +3 more
wiley   +1 more source

Near-infrared prediction of tannin content in walnut kernels using wavelet transform combined with interpretable machine learning models. [PDF]

Front Plant Sci
Xia Q, Luo L, Yerzati Y, Ahmed MM, Chen Y, Wang S, Qin J, Chen L, Jin Q, Guo Z, Zhang R.   +10 more
europepmc   +1 more source

Bivariate postprocessing of wind vectors

Quarterly Journal of the Royal Meteorological Society, EarlyView.
We introduce three novel bivariate postprocessing approaches and analyze their performance for joint postprocessing of bivariate wind‐vector components in Germany. Bivariate vine‐copula‐based models, a bivariate gradient‐boosted version of ensemble model output statistics (EMOS), and a bivariate distributional regression network (DRN) are compared with
Ferdinand Buchner, David Jobst, Annette Möller, Claudia Czado   +3 more
wiley   +1 more source

Comments on "heavy metals and their relationships with lung function and airway inflammation: insights from a population-based study". [PDF]

J Transl Med
Luo T, Chen T.
europepmc   +1 more source

Scale dependence in remotely sensed biodiversity: Leveraging continental‐scale imaging spectroscopy from the National Ecological Observatory Network

Remote Sensing in Ecology and Conservation, EarlyView.
Imaging spectroscopy enables large‐scale biodiversity assessment, yet spectral diversity metrics are scale dependent. Across 15 NEON ecosystems, we find that spectral richness increases sub‐linearly from 3600 m2 to 4 km2, whereas spectral divergence shows weak or inconsistent scaling with area, underscoring the importance of scale‐aware interpretation ...
Meghan T. Hayden, Matthew W. Rossi, Laura E. Dee, Kyle Kovach, Cibele H. Amaral, Jacob Nesslage, Madeline Slimp, Rachel S. Meyer, E. Natasha Stavros   +8 more
wiley   +1 more source

The prognostic impact of tryptophan on non-small cell lung cancer survival: insights from plasma essential amino acids. [PDF]

Nutr J
Zhao H, Liu W, Zhang Y, Bai Y, Chen G, Wang M, Qin L, Yang Y, Chen J, Zhang Z.   +9 more
europepmc   +1 more source

Camels as a Climate‐Resilient Linchpin for Sustainable Development in Global Drylands

Sustainable Development, EarlyView.
ABSTRACT Camels represent a significant, yet underutilized, asset for advancing integrated sustainable development in the world's expanding drylands. Previous reviews have examined camels' physiology, milk composition, or pastoral systems in isolation; this review examines their potential as a climate‐resilient linchpin for food systems by synthesizing
Ayana Angassa, Minyahel Tilahun, Solomon G. Tesfamichael   +2 more
wiley   +1 more source

Analytically tractable model of synaptic crowding explains emergent small-world structure and network dynamics. [PDF]

Sci Rep
Fukushima M.
europepmc   +1 more source

Quantitative Model of Internal Analyzer Scattering in a Hemispherical Electron Analyzer and Its Application to Improve the Accuracy of the Transmission Function

Surface and Interface Analysis, EarlyView.
ABSTRACT Internal scattering within hemispherical electron analyzers (HEA) is common when operating at low pass energies, where the instrument resolution of X‐ray photoelectron spectroscopy (XPS) and Auger electron spectroscopy experiments are at their best.
J. Laverock, N. A. Fox
wiley   +1 more source

Detecting Positive Selection by Modeling Structure Within Images of Genetic Variation. [PDF]

Genome Biol Evol
Amin MR, Arnab SP, Khan M, DeGiorgio M.
europepmc   +1 more source