Zobrazeno 1 - 10
of 9 675
pro vyhledávání: '"Han, Chang"'
Compound graphs are networks in which vertices can be grouped into larger subsets, with these subsets capable of further grouping, resulting in a nesting that can be many levels deep. In several applications, including biological workflows, chemical
Externí odkaz:
http://arxiv.org/abs/2408.04045
Autor:
Han, Chang, Isaacs, Katherine E.
Referential gestures, or as termed in linguistics, deixis, are an essential part of communication around data visualizations. Despite their importance, such gestures are often overlooked when documenting data analysis meetings. Transcripts, for insta
Externí odkaz:
http://arxiv.org/abs/2408.04041
Autor:
Jung, Youngmoon, Lee, Seungjin, Yang, Joon-Young, Roh, Jaeyoung, Han, Chang Woo, Cho, Hoon-Young
In recent years, there has been an increasing focus on user convenience, leading to increased interest in text-based keyword enrollment systems for keyword spotting (KWS). Since the system utilizes text input during the enrollment phase and audio inp
Externí odkaz:
http://arxiv.org/abs/2406.05314
Autor:
Kweon, Sunjun, Kim, Junu, Kim, Jiyoun, Im, Sujeong, Cho, Eunbyeol, Bae, Seongsu, Oh, Jungwoo, Lee, Gyubok, Moon, Jong Hak, You, Seng Chan, Baek, Seungjin, Han, Chang Hoon, Jung, Yoon Bin, Jo, Yohan, Choi, Edward
The development of large language models tailored for handling patients' clinical notes is often hindered by the limited accessibility and usability of these notes due to strict privacy regulations. To address these challenges, we first create synthe
Externí odkaz:
http://arxiv.org/abs/2309.00237
Publikováno v:
Journal of Neurodevelopmental Disorders, Vol 16, Iss 1, Pp 1-11 (2024)
Abstract Background A multi-method, multi-informant approach is crucial for evaluating attention-deficit/hyperactivity disorders (ADHD) in preschool children due to the diagnostic complexities and challenges at this developmental stage. However, most
Externí odkaz:
https://doaj.org/article/87c64c7c9460407498d7948b121db5e6
Autor:
Nan Hu, Jian-Xin Shi, Chong Chen, Hai-Huan Xu, Zhe-Han Chang, Peng-Fei Hu, Di Guo, Xiao-Wang Zhang, Wen-Wei Shao, Xiu Fan, Jia-Chen Zuo, Dong Ming, Xiao-Hong Li
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-16 (2024)
Abstract The reconstruction of damaged neural circuits is critical for neurological repair after brain injury. Classical brain-computer interfaces (BCIs) allow direct communication between the brain and external controllers to compensate for lost fun
Externí odkaz:
https://doaj.org/article/81071419df7543c0b06457f3632feea4
Publikováno v:
Journal of Neuroinflammation, Vol 21, Iss 1, Pp 1-15 (2024)
Abstract Background Alzheimer’s disease (AD) is a neurodegenerative disease that causes cognitive dysfunction in older adults. One of the AD pathological factors, β-Amyloid (Aβ), triggers inflammatory responses and phagocytosis of microglia. C-ty
Externí odkaz:
https://doaj.org/article/8fec39495d024e938bed4c6fc44d369b
Autor:
Ching-Han Chang, Pawel L. Urban
Publikováno v:
ACS Omega, Vol 9, Iss 42, Pp 43211-43218 (2024)
Externí odkaz:
https://doaj.org/article/f9a7331c8f554338a315b325bffdd24a
Autor:
Weidong Chen, Ga-Eun Lee, Dohyun Jeung, Jiin Byun, Juan Wu, Xianzhe Li, Joo Young Lee, Han Chang Kang, Hye Suk Lee, Kwang Dong Kim, Soo-Bin Nam, Cheol-Jung Lee, Young Jik Kwon, Yong-Yeon Cho
Publikováno v:
Cell Death Discovery, Vol 10, Iss 1, Pp 1-16 (2024)
Abstract Cyclic guanosine-adenosine monophosphate synthase (cGAS) is a key cytosolic DNA sensor that plays a pivotal role in the innate immune response. Although a decade of research on the cGAS has advanced our understanding of inflammasome formatio
Externí odkaz:
https://doaj.org/article/3973bdbcf1074afe8ebbe5d78a11e031
Publikováno v:
BMC Medical Education, Vol 24, Iss 1, Pp 1-7 (2024)
Abstract Students often struggle to apply their knowledge of bioscience to their care practice. Such knowledge is generally learned through remembering and understanding, but retention quickly fades. They also experience difficulty progressing to hig
Externí odkaz:
https://doaj.org/article/b518557b070f4bd3b4cd3452c46a2ad8