Results 181 to 190 of about 269,212 (347)

Trustworthy and Responsible AI for Human-Centric Autonomous Decision-Making Systems [PDF]

open access: yesarXiv
Artificial Intelligence (AI) has paved the way for revolutionary decision-making processes, which if harnessed appropriately, can contribute to advancements in various sectors, from healthcare to economics. However, its black box nature presents significant ethical challenges related to bias and transparency.
arxiv  

Dental Education in Veterinary Medicine

open access: yesDental Hypotheses, 2011
Periodontal disease is among the most prevalent canine dis-eases affecting over 75% of dogs. Strengthening of the human-animal bond and the increasing education of the aver-age pet owner, have fostered a heightened awareness of periodontal care in dogs ...
Diana L Eubanks
doaj   +2 more sources

Education Policy and Intergenerational Educational Persistence: Evidence from rural Benin [PDF]

open access: yesarXiv
This paper employs a nonlinear difference-in-differences approach to empirically examine the Maximally Maintained Inequality (MMI) hypothesis in rural Benin. The findings of this study confirm the MMI hypothesis. In particular, it is observed that when 76% of educated parents choose to educate their daughters in the absence of educational programs, in ...
arxiv  

Employability as a Guiding Outcome in Veterinary Education: Findings of the VetSet2Go Project. [PDF]

open access: yesFront Vet Sci, 2021
Cake M   +13 more
europepmc   +1 more source

Understanding Acculturative Stress In Post-Graduate, International Veterinary Students: A Mixed-Methods Study [PDF]

open access: yes, 2018
Thousands of American veterinary students attend fully-accredited international veterinary institutions every year. There are currently 14 veterinary programs located internationally that are fully-accredited by the American Veterinary Medical ...
Bushong, Sherry
core   +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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