Video observations, atmospheric path, orbit and fragmentation record of the fall of the Peekskill meteorite

Author(s):  
Z. Ceplecha ◽  
P. Brown ◽  
R. L. Hawkes ◽  
G. Wetherill ◽  
M. Beech ◽  
...  
1995 ◽  
Vol 68 (1-3) ◽  
pp. 189-197 ◽  
Author(s):  
M. Beech ◽  
P. Brown ◽  
R. L. Hawkes ◽  
Z. Ceplecha ◽  
K. Mossman ◽  
...  

1996 ◽  
Vol 72 (1-3) ◽  
pp. 395-404 ◽  
Author(s):  
Z. Ceplecka ◽  
P. Brown ◽  
R. L. Hawkes ◽  
G. Wetherill ◽  
M. Beech ◽  
...  

Drones ◽  
2021 ◽  
Vol 5 (3) ◽  
pp. 71
Author(s):  
Tomoko Saitoh ◽  
Moyu Kobayashi

Recently, drone technology advanced, and its safety and operability markedly improved, leading to its increased application in animal research. This study demonstrated drone application in livestock management, using its technology to observe horse behavior and verify the appropriate horse–drone distance for aerial behavioral observations. Recordings were conducted from September to October 2017 on 11 horses using the Phantom 4 Pro drone. Four flight altitudes were tested (60, 50, 40, and 30 m) to investigate the reactions of the horses to the drones and observe their behavior; the recording time at each altitude was 5 min. None of the horses displayed avoidance behavior at any flight altitude, and the observer was able to distinguish between any two horses. Recorded behaviors were foraging, moving, standing, recumbency, avoidance, and others. Foraging was the most common behavior observed both directly and in the drone videos. The correlation coefficients of all behavioral data from direct and drone video observations at all altitudes were significant (p < 0.01). These results indicate that horse behavior can be discerned with equal accuracy by both direct and recorded drone video observations. In conclusion, drones can be useful for recording and analyzing horse behavior.


2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 152-152
Author(s):  
Ying-Ling Jao ◽  
Carissa Coleman ◽  
Kristine Williams ◽  
Diane Berish ◽  
Wen Liu ◽  
...  

Abstract Communication is fundamental for daily care activities in nursing homes (NHs). Second-by-second behavioral coding of video observations is an ideal approach to examine the interactive nature of communication but requires a reliable coding scheme. Recent studies have adapted the Peron-Centered Behavioral Inventory (PCBI) and Task-Centered Behavioral Inventory (TCBI) to analyze caregiver communication during mealtime interactions, but their use for coding general daily caregiving activities has not been widely evaluated. This pilot study adapted the PCBI and TCBI of video observations and determined their inter-rater reliability for measuring caregiver verbal communication with persons with dementia (PwD). We analyzed videos from a randomized controlled trial of an intervention to improve caregiver communication in NHs. We selected one 1-minute segment from 12 videos that included interactions of caregiver-resident dyads. One research assistant transcribed caregivers’ verbal communication and segmented the communication into utterances. Two other research assistants independently coded each utterance using the adapted PCBI and TCBI. The coding scheme was expanded by modifying the existing operational definitions, adding three new codes, and developing a coding decision guide. Residents were Caucasian (100%), mean age 86 years with dementia and resistive behaviors. The adapted PCBI and TCBI had an inter-rater reliability of Kappa=0.656 (p&lt;.001) across the 12 videos. Overall, our adapted PCBI and TCBI showed substantial inter-rater reliability. The results support the use of our adapted PCBI and TCBI to distinguish between person-centered and task-centered communication in video observations, which, in turn, allows for sequential analysis to examine the impact of caregiver communication on PwD.


Author(s):  
Andrew L. DiMatteo ◽  
Juergen Neubauer ◽  
David G. Lott ◽  
Stephanie Zacharias ◽  
Thomas Murry ◽  
...  

2015 ◽  
Vol 107 ◽  
pp. 115-123 ◽  
Author(s):  
Eric Feczko ◽  
Thomas A.J. Mitchell ◽  
Hasse Walum ◽  
Jenna M. Brooks ◽  
Thomas R. Heitz ◽  
...  

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