Results 111 to 120 of about 1,681,604 (218)

Mapping Microbial Interaction Networks of Alcoholic Fermentation

eFood, Volume 7, Issue 6, December 2026.
We propose a generalized statistical mechanics framework that integrates ecological niche theory, evolutionary game theory, and the allometric scaling law. This approach enables the reconstruction of dynamic, multilayer, and modular networks from static microbial data during the fermentation process.
Ang Dong, Guanyu Zhou, Huiying Gong, Yu Wang, Xueda Wei, Xiaoming Zhang, Shing‐Tung Yau, Fan Yang, Fei Long, Rongling Wu   +9 more
wiley   +1 more source

Global Patterns of Parental Concerns About Children’s Education: Insights from WVS Data

Societies
Parental concerns about the education of children usually reflect deep-seated anxieties. This study identifies the most influential factors shaping these global concerns based on World Values Survey (WVS) data spanning several decades.
Daniel Homocianu
doaj   +1 more source

A New Implementation of Network GARCH Model for Stock Volatility and Co‐Volatility Forecasting

Journal of Forecasting, Volume 45, Issue 8, Page 3403-3426, December 2026.
ABSTRACT Volatility clustering and spillovers are key features of financial time series with many cross‐sectional assets. While network analysis links similar or correlated stocks and helps trace volatility spillovers, contemporary multivariate ARCH‐GARCH formulations struggle to represent structured network dependence and remain parsimonious.
Peiyi Zhou
wiley   +1 more source

Bayesian optimized color filter: A fast method for segmentation of plant phenotypes from 3D point cloud images

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Multispectral three‐dimensional (3D) imaging offers substantial potential for plant phenotyping, yet manual segmentation of plant organs remains a bottleneck in breeding programs. We developed a color‐based filtering workflow for faba bean (Vicia faba L.) point clouds that optimizes lower and upper thresholds of spectral indices and broadband ...
Lennart Scheer, Benjamin Wittkop, Andreas Stahl, Olaf Sass, Gregor Welna, Hanna Tietgen, Rod J. Snowdon   +6 more
wiley   +1 more source

Optimisation of Topical and Transdermal Pharmaceutical Formulations: Methods, Challenges and Opportunities

SmartSys, Volume 2, Issue 4, December 2026.
ABSTRACT Topical and transdermal pharmaceutical formulations are a large and diverse class of products, yet their optimisation remains a complex, resource‐intensive challenge. Statistical design‐of‐experiments approaches have long provided the methodological backbone for this process and have shown broad effectiveness across topical and transdermal ...
Yongrui Xiao, Yu Zhang, Chunlin Chen, Dimitrios Tsaoulidis, Kai Yang, Tao Chen   +5 more
wiley   +1 more source

Improving grain yield prediction in Southern US oat germplasm using genomics information and environmental covariates

The Plant Genome, Volume 19, Issue 4, December 2026.
Abstract Genetic gains of oat (Avena sativa L.) grain yield have been historically low compared to other major cereal crops. The use of machine learning models to capture complex interactions and leveraging data types other than genomic information in prediction models has great potential for improving complex traits in oat breeding programs.
Samuel A. Adewale, Md Ali Babar, Diego Jarquin, Naeem Khan, Stephen Harrison, Noah DeWitt, Rick Boyles, Shuyu Liu, Ellen Melson, Daniel Hathcoat, Jason D. Fiedler, Raja Sekhar Nandety   +11 more
wiley   +1 more source

A weight-sharing Bayesian neural network for consistent feature selection with applications in cancer gene expression data

BMC Bioinformatics
Background Advances in sequencing technologies generate extensive genetic information. Datasets such as the Cancer Genome Atlas (TCGA) BRCA facilitate large-scale cancer gene expression analyses, providing insights into the molecular mechanisms driving ...
Akanksha Mishra, Wei Xia, Clint Pazhayidam George   +2 more
doaj   +1 more source

Key Drivers of Flood Damage Differ Between Low and High Water Depths

Journal of Flood Risk Management, Volume 19, Issue 4, December 2026.
ABSTRACT Understanding which factors have the greatest influence on flood damage helps decision‐makers to target interventions more effectively. This study investigates whether the explanatory variables for residential flood damage differ between low‐ and high‐water depth conditions.
M. P. Ávila‐Guzmán, D. Rodriguez Castro, T. Endendijk, L. Dillenardt, R. K. Guntu, S. Erpicum, A. H. Thieken, J. C. J. H. Aerts, H. Kreibich, B. Dewals   +9 more
wiley   +1 more source

Bayesian adaptive Lasso quantile regression

Recently, variable selection by penalized likelihood has attracted much research interest. In this paper, we propose adaptive Lasso quantile regression (BALQR) from a Bayesian perspective.
R. ALHAMZAWI, D. F. BENOIT, K. YU
core  

The Driving Mechanism of Street Plant Landscape Structure on Visual Perception from a Long-Term Street View Perspective

Fengjing Yuanlin
ObjectiveStreet plant landscape structure is a critical lever for shaping and modulating how people perceive urban street views. Using the urban districts of Hangzhou as a representative case, this study aims to 1) quantify the spatiotemporal patterns of
Chenfeng XU, Yike HU, Yan CHENG, Lushu YANG   +3 more
doaj   +1 more source