Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Inseong Jeong"'
Publikováno v:
Journal of Advanced Veterinary and Animal Research, Vol 11, Iss 3, Pp 627-636 (2024)
Objective: This study aimed to evaluate the prevalence of cranial cruciate ligament rupture (RCCL) and the efficacy of tibial plateau angle (TPA) as a prognostic indicator in small breed dogs diagnosed with RCCL. Materials and Methods: For this study
Externí odkaz:
https://doaj.org/article/583d8221aef745d79283b988d6ef5b61
Publikováno v:
Animals, Vol 14, Iss 12, p 1746 (2024)
A 9-year-old castrated male Schnauzer dog, weighing 11.6 kg, presented with a persistent hemorrhagic oral mass. An oral examination revealed a right maxillary oral mass characterized by continuous bleeding, halitosis, and severe pain. A cytological e
Externí odkaz:
https://doaj.org/article/d44c04958f204cdf8b6ea733b07e330e
Publikováno v:
Journal of Management. 49:1394-1429
Although a crisis provides room for creativity, organizations often suffer from creativity deficits in such a situation. Indeed, threat-rigidity theory suggests that an employee-experienced crisis may hinder employee creativity. An interesting but un
Publikováno v:
Academy of Management Proceedings. 2022
Autor:
Inseong Jeong, Yaping Gong
Publikováno v:
Academy of Management Proceedings. 2022
Publikováno v:
Academy of Management Proceedings. 2022
Publikováno v:
Group & Organization Management. :105960112110729
We investigate how and when ethical leadership predicts team creativity. With its strong compliance with organizational norms and procedures, ethical leadership can be seen as antithetical to creativity. Similarly, collective need for cognitive closu
Autor:
Inseong Jeong, Gihong Kim
Publikováno v:
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography. 31:585-592
Autor:
Inseong Jeong
Publikováno v:
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography. 30:665-672
Amid rapidly increasing imagery inputs and their volume in a remote sensing imagery database, Content-Based Image Retrieval (CBIR) is an effective tool to search for an image feature or image content of interest a user wants to retrieve. It seeks to
Publikováno v:
Photogrammetric Engineering & Remote Sensing. 77:825-838
As third-party lidar software manufacturers are increasingly adding support for full-waveform data, a common question is which algorithm(s) to implement. To this end, a new approach is needed to compare and contrast various lidar waveform processing