IDENTIFYING ANIMAL BEHAVIOURS FROM ACCELEROMETERS: IMPROVING PREDICTIVE ACCURACY OF MACHINE LEARNING BY REFINING THE VARIABLES SELECTED, DATA FREQUENCY, AND SAMPLE DURATION

Identifying animal behaviours from accelerometers: Improving predictive accuracy of machine learning by refining the variables selected, data frequency, and sample duration

Abstract Observing animals in the wild often poses extreme challenges, but animal‐borne accelerometers are increasingly revealing unobservable behaviours.Automated machine learning streamlines behaviour identification from the substantial datasets generated during multi‐animal, long‐term studies; however, the Journal accuracy of such models d

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Quantification of intrusive/retraction force and moment generated during en-masse retraction of maxillary anterior teeth using mini-implants: A conceptual approach

ABSTRACT Objective: The aim Military Spacecraft Model Kit of the present study was to clarify the biomechanics of en-masse retraction of the upper anterior teeth and attempt to quantify the different forces and moments generated using mini-implants and to calculate the amount of applied force optimal for en-masse intrusion and retraction using mini

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Effect of Dietary Gelsemium elegans Benth. Extract on the Growth, Slaughter Performance, Meat Quality, Intestinal Morphology, and Microflora of Yellow-Feathered Chickens

The plant species Gelsemium elegans Benth.(GEB) promotes pig and sheep growth; however, little is known about its effects in chickens.In this study, a GEB extract (GEBE) was prepared, and its effects on the growth, slaughter, antioxidant performance, meat quality, serum biochemical indices, intestinal morphology, and microflora of yellow-feathered

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