AIMC Topic: Pupa

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Model updating strategy study about sex identification of silkworm pupae using transfer learning and NIR spectroscopy.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Mar 5, 2025
This paper proposes a novel model updating strategy named SilkwormNet for the first time to address the sex discrimination problem of silkworm pupae with new species. SilkwormNet integrates a ResNet block, a multi-head attention mechanism, and a Sche...
Pupa Male Spectroscopy, Near-Infrared Bombyx Sex Determination Analysis Female Animals Machine Learning
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A novel method for online sex sorting of silkworm pupae (Bombyx mori) using computer vision combined with deep learning.

Journal of the science of food and agriculture Feb 12, 2025
BACKGROUND: Silkworm pupae (SP), the pupal stage of an edible insect, have strong potential in the food, medicine, and cosmetic industries. Sex sorting is essential to enhance nutritional content and genetic traits in SP crossbreeding but it remains ...
Animals Male Female Sex Determination Analysis Deep Learning Pupa Bombyx
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Deep learning reveals a damage signalling hierarchy that coordinates different cell behaviours driving wound re-epithelialisation.

Development (Cambridge, England) Sep 24, 2024
One of the key tissue movements driving closure of a wound is re-epithelialisation. Earlier wound healing studies describe the dynamic cell behaviours that contribute to wound re-epithelialisation, including cell division, cell shape changes and cell...
Drosophila melanogaster Cell Shape Drosophila Proteins Pupa Re-Epithelialization Wings, Animal Calcium Signaling Signal Transduction Wound Healing Cell Movement Epithelium Deep Learning Cell Proliferation Animals Macrophages
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Combining spectrum and machine learning algorithms to predict the weathering time of empty puparia of Sarcophaga peregrine (Diptera: Sarcophagidae).

Forensic science international Jul 14, 2024
The weathering time of empty puparia could be important in predicting the minimum postmortem interval (PMImin). As corpse decomposition progresses to the skeletal stage, empty puparia often remain the sole evidence of fly activity at the scene. In th...
Machine Learning Algorithms Animals Pupa Principal Component Analysis Forensic Entomology Sarcophagidae Microscopy, Electron, Scanning Spectroscopy, Fourier Transform Infrared Postmortem Changes Feeding Behavior
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Direct Analysis in Real Time-Mass Spectrometry and Kohonen Artificial Neural Networks for Species Identification of Larva, Pupa and Adult Life Stages of Carrion Insects.

Analytical chemistry Jul 9, 2018
Species determination of the various life stages of flies (Order: Diptera) is challenging, particularly for the immature forms, because analogous life stages of different species are difficult to differentiate based on morphological features alone. I...
Mass Spectrometry Animals Species Specificity Insecta Neural Networks, Computer Pupa Larva
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Assessing Mosquito Breeding Sites and Abundance Using An Unmanned Aircraft.

Journal of the American Mosquito Control Association Sep 1, 2019
An unmanned aircraft system (UAS; i.e., drone) with an attached multispectral camera was used to quantify accumulated surface water on a 0.54-km tidal marsh that abuts San Francisco Bay, CA, USA. The results of the survey showed unequal accumulation ...
Animals Ecosystem Animal Distribution Artificial Intelligence Pupa Wetlands Culicidae Larva Aircraft Population Surveillance
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