Results 171 to 180 of about 340,452 (356)
SciLitMiner: An Intelligent System for Scientific Literature Mining and Knowledge Discovery
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
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
Taxonomies, biology and baseball: The need for fieldwork [PDF]
Jay Ven Eman
openalex +1 more source
Pollinator, herbivore, and climatic selective pressures differ across a floral color transition zone
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
Evaluating the effect of computer simulations on secondary biology instruction: An application of Blooms taxonomy [PDF]
Aslan Efe Hulya, Efe Rifat
openalex +1 more source
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
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
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
Question format is the best predictor of item discrimination: a multivariable analysis. [PDF]
Hillsley K.
europepmc +1 more source

