Screening of Wood Raw Materials for Low-Odor Fiberboard and Particleboard Production: Analysis and Evaluation Based on Volatile Odor Compounds. [PDF]
Liu B +7 more
europepmc +1 more source
ABSTRACT Greenhouse gas (GHG) emissions have emerged as one of the most critical drivers of climate change; this is primarily due to high concentrations and long atmospheric life of carbon dioxide (CO2). For a significant amount of time, various biological processes such as microalgal cultivation, cyanobacterial systems, photosynthetic microorganisms ...
Sadhana Semwal, Harish Chandra Joshi
wiley +1 more source
Parametric Material Optimization and Structural Performance of Engineered Timber Thin-Shell Structures: Comparative Analysis of Gridshell, Segmented, and Hybrid Systems. [PDF]
Golański M +4 more
europepmc +1 more source
This study develops an interpretable machine‐learning framework to predict multiple properties of polymer composites based on composition and processing variables. By combining ensemble models with composition‐based feature generation and SHAP‐based interpretation, the approach reveals composition‐property relationships and supports efficient multi ...
Dong Ryeol Shin, Sung Kwang Lee
wiley +1 more source
Protective and Modification Strategies for Instrument Wood: A Critical Review. [PDF]
Liang Q, Ou J.
europepmc +1 more source
A cost‐effective DNA extraction protocol for long‐read sequencing in non‐model plants
Abstract Premise Third‐generation sequencing has revolutionized genomics, enabling in‐depth analysis of genome sequence, structure, and epigenetic features. Yet, extracting high‐quality DNA for long‐read sequencing remains a bottleneck—particularly in non‐model plants, such as mature trees growing in natural environments, which often contain abundant ...
Sofia Gaischuk +6 more
wiley +1 more source
Thriving against the odds through positive deviant behavior: technology adoption and entrepreneurship among dairy farmers in Addis Ababa and Oromia in Ethiopia. [PDF]
Nyokabi N +7 more
europepmc +1 more source
A Hybrid Semi‐Inverse Variational and Machine Learning Approach for the Schrödinger Equation
A hybrid semi‐inverse variational and machine‐learning framework is presented for solving the Schrödinger equation with complex quantum potentials. Physics‐based variational solutions generate high‐quality training data, enabling Random Forest and Neural Network models to deliver near‐perfect energy predictions.
Khalid Reggab +5 more
wiley +1 more source
The microbiota of wooden cheese-ripening boards is a rich source of antimicrobial-producing bacteria against <i>Listeria monocytogenes</i>. [PDF]
Chen Y +4 more
europepmc +1 more source
Trabecular bone ontogeny of the human talus
Abstract Studies of trabecular ontogeny may provide insight into the factors that drive healthy bone development. There is a growing understanding of how the juvenile skeleton responds to these influences; however, gaps in our knowledge remain. This study aims to identify ontogenetic trabecular patterns and regional changes during development within ...
Rebecca A. G. Reid +2 more
wiley +1 more source

