Results 181 to 190 of about 4,321,398 (287)

Redescription of the cranial morphology of Amphisbaena braestrupi and Amphisbaena laurenti (Squamata: Amphisbaenidae) from the Pleistocene of Brazil using x‐ray computed tomography

open access: yesThe Anatomical Record, EarlyView.
Abstract Amphisbaenians (Squamata: Amphisbaenidae) are fossorial reptiles with highly specialized cranial morphology, yet their fossil record is frequently limited by fragmentary preservation. This study provides a detailed osteological redescription of the skulls of Amphisbaena braestrupi and Amphisbaena laurenti from the Pleistocene of Lagoa Santa ...
Carolina L. Paiva   +2 more
wiley   +1 more source

Impacts of Tethered Logging Equipment on Soil Compaction, Moisture and Seedling Growth. [PDF]

open access: yesFor Sci
Chung W   +6 more
europepmc   +1 more source

Integrating One Health to Mitigate the Emergence and Spread of Antimicrobial Resistance in Livestock and Aquaculture

open access: yesAnimal Research and One Health, EarlyView.
Antimicrobial resistance (AMR) is an escalating global threat driven by antimicrobial use in aquaculture and livestock. Resistant pathogens and genes can spread across humans, animals, and the environment through interconnected ecosystems. Using a One Health approach, this review emphasizes antimicrobial stewardship, regulatory strengthening, enhanced ...
Mir Mohammad Ali   +10 more
wiley   +1 more source

Comprehensive Characterization of Acer truncatum Leaf Extract: Identification of Systemic Metabolites and Effects on Performance, Antioxidant Status, and Intestinal Microbiota in Laying Hens

open access: yesAnimal Research and One Health, EarlyView.
Dietary A. truncatum leaf extract is absorbed and improves laying performance in aged hens by enhancing systemic antioxidant capacity and modulating the gut microbiota. ABSTRACT The demand for natural feed additives is considerably increasing in the antibiotic‐free feed era.
Kailong Qin   +6 more
wiley   +1 more source

Leveraging Big Multitemporal Multisource Satellite Data and Artificial Intelligence for the Detection of Complex and Invisible Features: The Case of Extensive Irrigation Mapping

open access: yesArchaeological Prospection, EarlyView.
ABSTRACT The detection of buried or obscured archaeological features remains a central challenge in landscape archaeology, particularly in the irrigated floodplains of Mesopotamia where levees and canals formed the basis of complex agrarian systems. This study presents a deep learning–based approach for the large‐scale, automated detection of ancient ...
Nazarij Buławka   +4 more
wiley   +1 more source

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