Constitutive Damage Model for Rubber Fiber-Reinforced Expansive Soil under Freeze-Thaw Cycles. [PDF]
Wang R +5 more
europepmc +1 more source
Effect of Curing on Micro-Physical Performance of Polypropylene Fiber Reinforced and Silica Fume stabilized Expansive Soil Under Freezing Thawing Cycles. [PDF]
Tiwari N, Tiwari N, Satyam N, Singh K.
europepmc +1 more source
The Geography of Success: A Spatial Analysis of Export Intensity in the Italian Wine Industry
ABSTRACT This paper investigates the paradox of how Italy's fragmented, SME‐dominated wine industry achieves global export success. Moving beyond purely firm‐centric explanations, we test whether export intensity is spatially dependent, clustering geographically in regional ecosystems.
Nicolas Depetris Chauvin, Jonas Di Vita
wiley +1 more source
Compressibility of expansive soil mixed with sand and its correlation to index properties. [PDF]
Alnmr A +3 more
europepmc +1 more source
Is Precision Agriculture Technology Adoption Persistently Overestimated?
ABSTRACT Precision agriculture is sometimes assumed to diffuse steadily over time, and industry planning frequently extrapolates early adoption trends forward. This study evaluates the accuracy of such expectations by comparing agricultural input dealers' forecasts of future service offerings with the actual levels of offerings that dealerships ...
Trey Malone +5 more
wiley +1 more source
The infiltration characteristics of expansive soil considering fracture under wet-dry cycle conditions. [PDF]
Zhao Y, Zhang H, Wang G, Yang Y.
europepmc +1 more source
Impact of Digital Ability and Rice Technology Adoption on Rice Farming Performance in Benin
ABSTRACT This study examines the combined effects of digital ability and the adoption of various rice technologies among smallholder rice farmers, using GPS‐spatially matched data sources that include household surveys and a general census of rice value chain actors in Benin.
Landry Bellarmin Kassa, Takeshi Sakurai
wiley +1 more source
Author Correction: ANN-based swarm intelligence for predicting expansive soil swell pressure and compression strength. [PDF]
Jalal FE +5 more
europepmc +1 more source
This paper presents a computer vision (deep learning) pipeline integrating YOLOv8 and YOLOv9 for automated detection, segmentation, and analysis of rosette cellulose synthase complexes in freeze‐fracture electron microscopy images. The study explores curated dataset expansion for model improvement and highlights pipeline accuracy, speed ...
Siri Mudunuri +6 more
wiley +1 more source
An Attention‐Assisted Machine Learning System for Deep Microorganism Image Classification
An attention‐assisted DenseNet201 framework was developed for the classification of eight microorganism classes from microscopic images. The proposed model improved classification performance and achieved an accuracy of 87.38%. Advances in microbiology and environmental health fundamentally depend on precise and timely microorganism identification ...
Yujie Li +6 more
wiley +1 more source

