LunAero: Automated "smart" hardware for recording video of nocturnal migration.

HardwareX

Oklahoma Biological Survey, University of Oklahoma, 111 Chesapeake St., Norman, OK 73019 USA.

Published: April 2020

AI Article Synopsis

Article Abstract

Moon watching is a method of quantifying nocturnal bird migration by focusing a telescope on the moon and recording observations of flying birds silhouetted against the lunar surface. Although simple and well-established, researchers use moon watching infrequently due in part to the hours of late night observation it requires. To reduce the labor entailed in moon watching, we designed a low-cost system called LunAero that can track and record video of the moon at night. Here we present a proof-of-concept prototype that can serve as a platform for citizen scientists interested in observing nocturnal bird migration. We tested the video recording on clear nights from February 2018 to May 2019 when the moon was full or nearly full. Manual analysis of a 1.5 h sample of video revealed a total of 450 birds, which is a much higher detection rate than previous moon watching efforts have yielded. The hardware described here is part of a larger effort involving software development (currently underway) to automate recorded video analysis. We argue that LunAero can reduce the labor involved in moon watching, offer improved data quality over traditional moon watching, and provide insights into social behavior and wind-drift compensation in migrating birds.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9041248PMC
http://dx.doi.org/10.1016/j.ohx.2020.e00106DOI Listing

Publication Analysis

Top Keywords

moon watching
24
moon
9
nocturnal bird
8
bird migration
8
reduce labor
8
watching
6
video
5
lunaero automated
4
automated "smart"
4
"smart" hardware
4

Similar Publications

Background: Sudden unexpected infant death (SUID) is a leading cause of death for US infants, and nonrecommended sleep practices are reported in most of these deaths. SUID rates have not declined over the past 20 years despite significant educational efforts. Integration of prenatal safe sleep and breastfeeding education into a pregnancy app may be one approach to engaging pregnant individuals in education about infant care practices prior to childbirth.

View Article and Find Full Text PDF

Although we have multiple senses, multimedia mainly targets vision and olfaction. To expand the senses impacted by multimedia, olfactory stimulation has been used to enhance the sense of reality. Odors are primarily matched with objects in scenes.

View Article and Find Full Text PDF
Article Synopsis
  • Increased fast food consumption among adolescents during COVID-19 school closures is linked to poor dietary and lifestyle choices, raising public health concerns.
  • A study involving 1,710 middle and high school students in Gwangju, South Korea found that factors like irregular meal patterns, decreased physical activity, and increased sedentary behavior contributed to this trend.
  • The findings emphasize the need for dietary interventions and guidelines to promote healthier eating habits among adolescents during times of disruption, like school closures.*
View Article and Find Full Text PDF

Aims: To assess the impact of learner-participation and instructor-led simulation videos on nurses' CPR skills, focusing on iterative learning to boost proficiency in ACLS.

Background: Advanced cardiac life support (ACLS) training is crucial for nurses, especially to improve cardiopulmonary resuscitation (CPR) proficiency, for which an effective training strategy is needed.

Design: A quasi-experimental, pretest-posttest design was implemented to assess the impact of self-simulation and model simulation videos on sustaining CPR education.

View Article and Find Full Text PDF

To enhance the early detection of Attention Deficit/Hyperactivity Disorder (ADHD) and Autism Spectrum Disorder (ASD) by leveraging clinical variables collected at child and adolescent mental health services (CAMHS). This study included children diagnosed with ADHD and/or ASD ( = 857). Three logistic regression models were developed to predict the presence of ADHD, its subtypes, and ASD.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!