Results 151 to 160 of about 2,234,842 (311)
ABSTRACT Plants are important sources of bioactive compounds that contribute to nutrition, health maintenance, and disease prevention. In this study, the chemical composition and antioxidant potential of essential oils obtained from Lavandula angustifolia “Sevtopolis” and Lavandula × intermedia cultivated in the Silivri region of Istanbul were ...
Bilge Bicak +4 more
wiley +1 more source
Bloom-Based Filters for Hierarchical Data 1
. In this paper, we present two novel hash-based indexing structures, based on Bloom filters, called breadth and depth Bloom filters, which in contrast to traditional hash based indexes, are able to represent hierarchical data and support path expression
Georgia Koloniari, Evaggelia Pitoura
core
ABSTRACT In chocolate‐coated products, oil migration can lead to chocolate softening and discoloration, filling hardening, and reduced consumer acceptance. This study examined three fats (soy‐, palm‐, and palm‐kernel (PK) based), crystallized under different conditions (cooling rate and high intensity ultrasound (HIU)) with differing oil binding ...
Audrey Lidgard +2 more
wiley +1 more source
Bloom-Based Filters for Hierarchical Data
In this paper, we present two novel hash-based indexing structures, based on Bloom filters, called Breadth and Depth Bloom filters, which in contrast to traditional hash-based indexes, are able to summarize hierarchical data and support regular path ...
Georgia Koloniari, Evaggelia Pitoura
core
Turning a new leaf: PhenoVision provides leaf phenology data at the global scale
Abstract Premise Plant phenology dictates many aspects of community function and ecosystem dynamics. Yet, global phenology data are still limited, especially in areas lacking monitoring programs. Here we present a new data resource, PhenoVision–Leaf, which extends a computer vision pipeline utilizing iNaturalist digital image vouchers to produce global‐
Erin L. Grady +6 more
wiley +1 more source
On the falsepositive rate of Bloom filters
. Bloom filters are a randomized data structure for membership queries dating back to 1970. Bloom filters sometimes give erroneous answers to queries, called false positives.
Michiel Smid +7 more
core
Integrating machine learning, deep learning, and image analysis for seed species classification
Abstract Premise The growing demand for wildflower seeds in ecological restoration requires reliable species identification, yet current market products often contain heterogeneous species. As seed identification is labor‐intensive and requires advanced botanical knowledge, we evaluated multiple segmentation and classification approaches to determine ...
Jonathan Ashworth +6 more
wiley +1 more source
Abstract Premise In North America, Phragmites australis (common reed) has drawn a great deal of research attention. Non‐native P. australis subsp. australis is a noxious weed that has locally displaced native P. australis subsp. americanus in some areas.
Nicholas P. Tippery +8 more
wiley +1 more source
Predictors of Change in Severity of Self‐Injurious Behaviors in Preschool‐Aged Autistic Children
ABSTRACT Self‐injurious behaviors (SIBs) affect up to 50% of autistic individuals and significantly impact quality of life and everyday functioning. Cross‐sectional studies link the presence of SIB to lower IQ, altered sensory responsivity, and poor emotion regulation, yet their effect on changes in SIB severity from early childhood to school age in ...
Joseph Boyle +9 more
wiley +1 more source
A Novel Accuracy and Similarity Search Structure Based on Parallel Bloom Filters. [PDF]
Shuai C, Yang H, Ouyang X, Li S, Chen Z.
europepmc +1 more source

