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A framework for assessing reliability of observer annotations of aerial wildlife imagery, with insights for deep learning applications.
PLoS One
January 2025
Division of Biological Sciences, US Fish and Wildlife Southwest Regional Office, Albuquerque, New Mexico, United States of America.
There is growing interest in using deep learning models to automate wildlife detection in aerial imaging surveys to increase efficiency, but human-generated annotations remain necessary for model training. However, even skilled observers may diverge in interpreting aerial imagery of complex environments, which may result in downstream instability of models. In this study, we present a framework for assessing annotation reliability by calculating agreement metrics for individual observers against an aggregated set of annotations generated by clustering multiple observers' observations and selecting the mode classification.
View Article and Find Full Text PDFScreening and characterizing indigenous yeasts, lactic acid bacteria, and acetic acid bacteria from cocoa fermentation in Hainan for aroma Development.
J Food Sci
January 2025
Spice and Beverage Research Institute, Chinese Academy of Tropical Agricultural Sciences, Wanning, China.
Fermentation is crucial for inducing desirable flavor and aroma profiles in cocoa products. This research focused on identifying microbial strains isolated from spontaneous cocoa fermentation in Hainan through 16S and Internal Transcribed Spacer (ITS) sequencing. Pectinase activity was screened, and metabolic dynamics of sugars and organic acids were analyzed using high-performance liquid chromatography.
View Article and Find Full Text PDFEnhancing the Clinical Applicability of the Novel Classification System for Proximal Junctional Degeneration[letter].
Spine (Phila Pa 1976)
January 2025
Master's Degree Candidate, First Clinical College, Hubei University of Chinese Medicine, Wuhan, Hubei, China.
Prognostic values of molecular subtypes and SWI/SNF protein expression in de-differentiated/undifferentiated endometrial carcinoma.
Histopathology
January 2025
Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada.
Aims: Classification and risk stratification of endometrial carcinoma (EC) has transitioned from histopathological features to molecular classification, e.g. the ProMisE classifier, identifying four prognostic subtypes: POLE mutant (POLEmut) with almost no recurrence or disease-specific death events, mismatch repair deficient (MMRd) and no specific molecular profile (NSMP), with intermediate outcome and p53 abnormal (p53abn) with poor outcomes.
View Article and Find Full Text PDFPhylogenomics, reticulation, and biogeographical history of Elaeagnaceae.
Plant Divers
November 2024
Germplasm Bank of Wild Species & Yunnan Key Laboratory of Crop Wild Relatives Omics, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, China.
The angiosperm family Elaeagnaceae comprises three genera and . 100 species distributed mainly in Eurasia and North America. Little family-wide phylogenetic and biogeographic research on Elaeagnaceae has been conducted, limiting the application and preservation of natural genetic resources.
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