Results 81 to 90 of about 1,588 (186)

Mechanistic Insight into H2S‐Induced Fluorescence Quenching in a Robust Metal–Organic Framework

Small, EarlyView.
An ultramicroporous Zn‐based metal‐organic framework, MFM‐520, enables reversible hydrogen sulfide adsorption and selective fluorescence sensing. Confinement of H2S within the pores perturbs ligand‐centered excited states through weak host‐guest interactions, enhancing non‐radiative decay pathways.
Valeria B. López‐Cervantes, Juan L. Obeso, J. Gabriel Flores, Ricardo A. Peralta, José Antonio de los Reyes, Jiangnan Li, Sihai Yang, Elodie Strupiechonski, Andrés De Luna Bugallo, Aída Gutiérrez‐Alejandre, Yoarhy A. Amador‐Sánchez, Diego Solis‐Ibarra, Ilich A. Ibarra   +12 more
wiley   +1 more source

Droughts and human impact in the ancient Uaymil region of the Maya lowlands inferred from a 2800‐year sedimentary archive at Lake Kaná, Mexico

Boreas, EarlyView.
The relationship between the climate and societal transformation in Maya lowlands has long been debated, particularly the role of drought in shaping the civilization trajectory during the Classic Period. A high‐resolution, multi‐proxy, geochemical record from Lake Kaná, located in the underexplored Uaymil region of the Yucatán Peninsula in Mexico ...
Haydar B. Martinez‐Dyrzo, Priyadarsi D. Roy, Benjamin Gwinneth, Irma G. Vargas‐Martinez, Alejandro A. Aragon‐Moreno, Roger Medina‐Gonzales   +5 more
wiley   +1 more source

Emerging applications of large language models in ecology and conservation science

Conservation Biology, EarlyView.
Abstract Large language models (LLMs) mark a major development in artificial intelligence, with potentially transformative implications for ecology and conservation science. Built on advanced deep‐learning architectures, these models can support a wide range of tasks. We reviewed emerging applications of LLMs, drawing on the wider scientific literature
Christos Mammides, Hao Gu, Thilina S. Nimalrathna, Naufal Rahman Avicena, Harris Papadopoulos, Ahimsa Campos‐Arceiz   +5 more
wiley   +1 more source

Imaging Point Source Groundwater Discharges in a Confined Coastal Aquifer Using Electrical Resistivity

Groundwater, EarlyView.
Marine electrical resistivity tomography (ERT) is applied to characterize point‐source submarine groundwater discharge (PSGD) along NW Yucatán. ERT observations and forward modeling constrain conduit detectability under varying hydrogeological conditions.
Mariana Gómez‐Nicolás, Armando Huitzilt‐Rodriguez, Enrique Iñiguez, Roger Pacheco‐Castro, Marco Pérez‐Flores, Paulo Salles, Fiona Whitaker   +6 more
wiley   +1 more source

How Accurately Do Species Distribution Models Predict the Expansion of Invasive Insects, and Does Climate Data Choice Matter? Insights From the Invasion of Dryocosmus kuriphilus

Journal of Applied Entomology, EarlyView.
ABSTRACT Species distribution models (SDMs) are widely used to predict the spread of invasive species, yet their accuracy over time and the influence of climate data resolution remain unclear. Here, we examine the capacity of SDMs to predict the distribution and short‐term expansion of the invasive gall wasp Dryocosmus kuriphilus, and compare the ...
José Carlos Pérez‐Girón, Fernando Castedo‐Dorado, María Josefa Lombardero, Pedro Álvarez‐Álvarez   +3 more
wiley   +1 more source

Methyl Jasmonate Seed Priming Mitigates the Defence‐Growth Trade‐Off and Tailors Plant Response to Specific Pests

Plant, Cell &Environment, EarlyView.
ABSTRACT Seed defence priming is emerging as a novel, cost‐efficient and environmentally safe tool for pest management. It has been proposed as a means to uncouple the defence‐growth trade‐off in plants by enhancing defence responses with minimal fitness costs, but the mechanisms underlying this role remain elusive.
Lucia Talavera‐Mateo, Adrian Sabater‐Gabriel, Alejandro Garcia, Marta Marina Perez‐Alonso, Rayko Halitschke, M. Estrella Santamaria   +5 more
wiley   +1 more source

Volatile Organic Compounds Emitted by Fungi Have Substantial Effects on Growth and Disease Resistance in Arabidopsis thaliana

Plant, Cell &Environment, EarlyView.
ABSTRACT Volatile organic compounds (VOCs) emitted by certain fungi have previously been suggested to modulate plant development and their response to stresses. While some fungal species, such as Trichoderma harzianum, are known to produce VOCs, the production of VOCs in other phylogenetically divergent species, such as Mucor mucedo, was previously ...
Sara Yugueros, Asier Largo‐Gosens, Cristina Úbeda, Cristina Hernández‐Fernández, Alba Manga‐Robles, Diego Rebaque, Antonio Encina, Hugo Mélida   +7 more
wiley   +1 more source

Preharvest application of antagonistic yeasts for the control of fungal pathogens in organic peach and plum orchards

Journal of the Science of Food and Agriculture, Volume 106, Issue 10, Page 5881-5889, 15 August 2026.
Abstract BACKGROUND The control of fungal diseases in organic fruit production remains a major challenge due to the limited availability of authorized phytosanitary tools. This study evaluates the efficacy of two antagonistic yeasts – Metschnikowia pulcherrima L672 and Hanseniaspora uvarum L793 – in organic peach ( Prunus persica ) and plum ( Prunus ...
Paula Tejero, Alejandro Hernández, Elena Ordiales, María G Córdoba, Alicia Rodríguez, Alberto Martín   +5 more
wiley   +1 more source

Chitosan‐induced modulation of secondary metabolism and stress tolerance in Salvia rosmarinus under combined drought and heat stress

Journal of the Science of Food and Agriculture, Volume 106, Issue 10, Page 5989-6001, 15 August 2026.
Abstract BACKGROUND Abiotic stresses, particularly drought and elevated temperatures, negatively affect plant physiological and metabolic processes. This study investigated the effects of drought, heat, and combined stress on Salvia rosmarinus (rosemary), and evaluated foliar‐applied chitosan as a biostimulant.
Inês Mansinhos, Sandra Gonçalves, Raquel Rodríguez‐Solana, Efrén Pérez‐Santín, María I Fernández‐Marín, Emma Cantos‐Villar, Anabela Romano   +6 more
wiley   +1 more source

A Fully Automated Pipeline for Vertebral Structural Assessment From Medical Images. Application Under Metastatic Conditions

International Journal for Numerical Methods in Biomedical Engineering, Volume 42, Issue 7, July 2026.
We present an automated CT‐to‐simulation workflow to estimate structural response and fracture risk in metastasis‐affected vertebrae. Deep learning performs vertebral identification and segmentation, while CPD assigns geometry‐aware boundary conditions.
B. Gandia‐Vañó, J. M. Navarro‐Jiménez, J. J. Ródenas, E. Arana, E. Nadal   +4 more
wiley   +1 more source