Results 171 to 180 of about 687,321 (293)
ABSTRACT Sustainability labels can help support consumers select more socially and environmentally friendly options, thereby enhancing returns for conscientious producers and promoting the transition to a more sustainable food system. However, consumer confusion regarding labels' meaning undermines their effectiveness.
Monika Hartmann +4 more
wiley +1 more source
Adequacy of Standard Models for Long-Term Behavior of Lightweight Concrete with Sintered Aggregate Under Cyclic Loading. [PDF]
Lewiński PM +3 more
europepmc +1 more source
Adhesion of Recycled Concrete Aggregates, Demolition Debris, and Asphalt
A.R. Pasandín, Ignacio Pérez Pérez
openalex +2 more sources
ABSTRACT This study examines food price inflation rate convergence among EU27 Member States from 2005 to 2024, focusing on structural breaks, external shocks, and regional disparities. Using panel unit root tests and club convergence analysis, the findings reveal no overall convergence but identify multiple convergence clubs.
Tibor Bareith, Imre Fertő
wiley +1 more source
Nonlinear analysis of hollow reinforced high strength concrete beams with web openings and different types of stirrups under torsion. [PDF]
Ebrahim FA, Askar HS, El-Zoughiby ME.
europepmc +1 more source
DETERMINATION OF THE EFFECT OF TiO2 ON THE DYNAMIC BEHAVIOR OF SCALED CONCRETE CHIMNEY BY OMA
Sertaç Tuhta, Furkan Günday
openalex +2 more sources
This study presents an Internet of Things‐based stormwater monitoring framework piloted at the University of Maryland campus to support Municipal Separate Stormwater Sewer System compliance and adaptive planning. Developed with key campus stakeholders, the framework integrates real‐time sensor deployment, data‐informed insights on runoff and water ...
Qianyao Si +16 more
wiley +1 more source
Durability and Microstructural Evolution of PVA-Fiber-Reinforced Concrete Under Coupled Sulfate Attack and Freeze-Thaw Conditions. [PDF]
Wu H, Shen C, Lv C, Sun Y, Qu S, Zhou X.
europepmc +1 more source
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source

