Keeping Pace or Falling Behind? The Depth of Latin American Trade Agreements
ABSTRACT This article examines whether Latin American countries are keeping pace with global trends in trade agreement depth or falling behind. Using 681 agreements (1970–2019), we develop the Depth Index of Trade Agreements (DITA) to weight provisions endogenously through factor analysis based on co‐occurrence patterns.
Raphael Gomes da Silva +2 more
wiley +1 more source
Comment on "Volcanic monitoring of the 2021 La Palma eruption using long-period magnetotelluric data". [PDF]
Cordell D, Hill G, Moorkamp M, Thiel S.
europepmc +1 more source
Advancing European Plant Variety Registration: Data‐Driven Insights and Stakeholder Perspectives
ABSTRACT Efficient plant variety registration is crucial for fostering innovation in the European Union, yet the current regulatory framework is complex and faces calls for reform. This study provides data‐driven evidence to inform the ongoing legislative debate by employing a mixed‐methods approach.
Sergio Urioste Daza +2 more
wiley +1 more source
Integrated porosity estimation of partially saturated sand-hematite mixtures using electrical resistivity and elastic wave velocity. [PDF]
Lee JS, Kang HS, Lee D, Kim SY.
europepmc +1 more source
Pesticide MRLs as Trade Barriers: Evidence From Vietnam's Coffee and Rice Exporters
ABSTRACT As tariffs have declined globally through bilateral and regional trade agreements, food safety standards have emerged as significant determinants of agricultural trade flows. This study examines the impact of maximum residue limits (MRLs) for five pesticides—Azoxystrobin, Chlorpyrifos, Chlorantraniliprole, Clothianidin, and Cyhalothrin—on ...
Nhat Mai Nguyen +2 more
wiley +1 more source
On-site dissolved-gas analysis and electric-resistivity tomography as new tools to trace CO<sub>2</sub> mineral sequestration in aquifers. [PDF]
Brennwald MS +6 more
europepmc +1 more source
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing +4 more
wiley +1 more source
Effect of humidity incorporation on the development of a ground enhancement material. [PDF]
Ángeles HM +6 more
europepmc +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
Integrated geochemical and geophysical assessment for monitoring soil stabilization with waste oyster shells. [PDF]
Lee S, Kim M, Lee N, Ahn Y, Choi J.
europepmc +1 more source

