Results 171 to 180 of about 340,452 (356)

SciLitMiner: An Intelligent System for Scientific Literature Mining and Knowledge Discovery

open access: yesAdvanced Intelligent Systems, EarlyView.
SciLitMiner is an intelligent system that federately ingests scientific literature, filters it using advanced information retrieval methods, and applies retrieval‐augmented generation tailored to scientific domains. Demonstrated on creep deformation in γ‐TiAl alloys, SciLitMiner provides a controlled workflow for systematic knowledge discovery and ...
Vipul Gupta   +3 more
wiley   +1 more source

Temperature and the evolution of flower color: A review

open access: yesAmerican Journal of Botany, EarlyView.
Abstract Flower colors brighten our natural world. How and why have they evolved? How might ongoing global warming alter their evolutionary trajectories? In this review, I examine the influence of ambient temperature on the evolution of flower color.
Elizabeth P. Lacey
wiley   +1 more source

Pollinator, herbivore, and climatic selective pressures differ across a floral color transition zone

open access: yesAmerican Journal of Botany, EarlyView.
Abstract Premise Spatial and temporal variations in climate and ecological interactions may underlie the origin and maintenance of floral color polymorphisms across a species range. Betalains are nitrogen‐containing, phylogenetically restricted pigments that, like the widespread and well‐studied anthocyanins and carotenoids, may attract pollinators ...
Sierra L. Jaeger   +5 more
wiley   +1 more source

Electromembrane Extraction for Multiclass Pesticide Assessment in Soil Matrices: Sustainable Analytical Insights

open access: yesAnalysis &Sensing, EarlyView.
The U‐shaped electromembrane extraction with liquid chromatography‐mass spectrometry enables rapid multiclass pesticide screening in soil. The 15 min, low‐solvent workflow achieves high recoveries and robust linearity, while AGREEprep and GAPI assessments highlight a greener profile compared to literature reports, which represents a smart strategy for ...
Rafael O. Martins   +9 more
wiley   +1 more source

Computer vision species identification of lichens and bryophytes from biocrusts in Australian drylands

open access: yesApplications in Plant Sciences, EarlyView.
Abstract Premise Due to their small size and lack of easily visible macroscopic characters, the identification of cryptogam species has always been challenging. Here, the use of a machine learning computer vision method is explored for the identification of species of lichens and bryophytes from Australian biocrusts.
Callum Lawler   +3 more
wiley   +1 more source

PlantSAM: An object detection‐driven segmentation pipeline for herbarium specimens

open access: yesApplications in Plant Sciences, EarlyView.
Abstract Premise Deep learning–based classification of herbarium images is hampered by background heterogeneity, which introduces noise and artifacts that can potentially mislead models and degrade their accuracy. Addressing these effects is essential to enhance overall performance. Methods We introduce PlantSAM, an automated segmentation pipeline that
Youcef Sklab   +6 more
wiley   +1 more source

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