Results 341 to 350 of about 1,414,611 (415)

Histochemical indications for a chemically complex signal produced by the cervical gill slit gland of the pygmy sperm whale (Kogia breviceps)

open access: yesThe Anatomical Record, EarlyView.
Abstract The pygmy sperm whale (Kogia breviceps) possesses an exocrine gland associated with its false gill slit pigmentation pattern. The cervical gill slit gland is a compound tubuloalveolar gland that produces a holocrine secretion and displays maturational changes in size and secretory histology. While the morphology of the cervical gill slit gland
Tiffany F. Keenan   +13 more
wiley   +1 more source

Yolo-pest: an optimized YoloV8x for detection of small insect pests using smart traps. [PDF]

open access: yesSci Rep
Hakim A   +9 more
europepmc   +1 more source

Small fish, large variation: Morphological diversity of Weberian apparatus in Noturus catfishes and ecological implications

open access: yesThe Anatomical Record, EarlyView.
Abstract The Weberian apparatus is a hearing specialization unique to the otophysan fishes, and an unexpected degree of morphological variation exists in species of the Noturus catfishes. Our aim in this study is to investigate relationships between morphological variations and ecology that may drive this variation.
J. C. Hoeflich, Juan Liu
wiley   +1 more source

Is cranial anatomy indicative of fossoriality? A case study of the mammaliaform Hadrocodium wui

open access: yesThe Anatomical Record, EarlyView.
Abstract Determining the ecology of fossil species presents considerable challenges due to the often fragmentary preservation of specimens. The mammaliaform Hadrocodium wui from the Jurassic of China is known only from the cranium and mandible but may have had a fossorial lifestyle.
Molly Tumelty, Stephan Lautenschlager
wiley   +1 more source

Segmentation of cortical bone, trabecular bone, and medullary pores from micro‐CT images using 2D and 3D deep learning models

open access: yesThe Anatomical Record, EarlyView.
Abstract Computed tomography (CT) enables rapid imaging of large‐scale studies of bone, but those datasets typically require manual segmentation, which is time‐consuming and prone to error. Convolutional neural networks (CNNs) offer an automated solution, achieving superior performance on image data.
Andrew H. Lee   +3 more
wiley   +1 more source

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