Results 171 to 180 of about 21,443 (267)

Gene‐specific double‐stranded RNAs induce mortality in the South African mealybug Delottococcus aberiae

open access: yesPest Management Science, Volume 82, Issue 6, Page 5184-5194, June 2026.
Gene‐specific double‐stranded RNAs effectively silence essential genes in the invasive citrus pest Delottococcus aberiae, leading to significant mortality through both microinjection and oral delivery. These results provide proof of concept for RNA interference‐based biopesticides as selective and sustainable tools for citrus integrated pest management.
Carolina Gallego‐Giraldo   +6 more
wiley   +1 more source

ROUTING DESIGN FOR LESS-THAN-TRUCKLOAD MOTOR CARRIERS USING ANT COLONY TECHNIQUES [PDF]

open access: yes
One of the most important challenges for Less-Than-Truck-Load carriers consists of determining how to consolidate flows of small shipments to minimize costs while maintaining a certain level of service.
Mª Jesús Álvarez   +3 more
core  

Artificial Intelligence, Optimization, and Modeling Techniques in Water Resources Management: Challenges and Future Directions

open access: yesWater Environment Research, Volume 98, Issue 6, June 2026.
This study presents an integrated framework linking six foundational elements of water resources management: watershed modeling, surrogate modeling, optimization, artificial intelligence, decision support systems, and monitoring. The synthesis highlights how connecting these traditionally separate domains fosters smarter, adaptive, and data‐driven ...
Hoda S. Razavi   +5 more
wiley   +1 more source

Recommender Systems: Taxonomy, Applications and Current Research Trends

open access: yesWIREs Data Mining and Knowledge Discovery, Volume 16, Issue 2, June 2026.
Integrating taxonomy, application developments, open‐source software, and publication trends, this paper identifies and outlines promising future directions for recommender systems research. ABSTRACT Recommender Systems play an essential role in assisting users to navigate the immense amount of information and services available online, aiding them in ...
Daniel Ranchal‐Parrado   +2 more
wiley   +1 more source

Exploring the 3D Gravity Inversion Problem Using a Compact Hybrid Transformer‐Based Deep Learning Model

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract The three‐dimensional (3D) gravity inversion problem is the process of delineating the volumetric mass distributions from the surface gravity anomalies. Recently, many innovative Convolutional Neural Network (CNN) based algorithms have found some success in reduction of computation costs and delineation of sharper boundaries of causative ...
Abhirup Chaudhuri   +2 more
wiley   +1 more source

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