Zobrazeno 1 - 10
of 76
pro vyhledávání: '"Yitong Yang"'
Publikováno v:
BMC Public Health, Vol 24, Iss 1, Pp 1-8 (2024)
Abstract Purpose To examine the knowledge, attitudes, and practices (KAP) of caregivers of children with Kawasaki disease toward Kawasaki disease. Methods This cross-sectional study was conducted at four hospitals in China from March 2023 to June 202
Externí odkaz:
https://doaj.org/article/5fcbc2443c4c4fd98b0a182f4a12eed9
Publikováno v:
Renal Failure, Vol 46, Iss 2 (2024)
Background Podocytes, as intrinsic renal cells, can also express MHC-II and costimulatory molecules under inflammatory conditions, suggesting that they may act as antigen-presenting cells (APCs) to activate immune cell responses and then lead to immu
Externí odkaz:
https://doaj.org/article/4b1e3a3b5d1f45619ad053aada304cbb
Autor:
Yingxin Wang, Wenzhu Liu, Yitong Yang, Yu Wang, Yao Tang, Zexin Zhan, Xiaohan Sun, Yichang Jiao, Didi Shan, Rui Zhang, Dongdong Wang, Ping Sun, Xiulian Sun, Chuanzhu Yan, Fuchen Liu
Publikováno v:
Stem Cell Research, Vol 77, Iss , Pp 103435- (2024)
We used a non-integrated reprogramming approach to establish a human induced pluripotent stem cell (hiPSC) line (INNDSUi004-A) from the skin fibroblasts of a 13-year-old female individual with Congenital Nemaline Myopath. The cells obtained have typi
Externí odkaz:
https://doaj.org/article/1ff46862fc5145f49019e0f3c98cf19b
Autor:
Wenzhu Liu, Yingxin Wang, Yitong Yang, Yu Wang, Yao Tang, Yichang Jiao, Didi Shan, Zexin Zhan, Rui Zhang, Dongdong Wang, Xiaohan Sun, Ping Sun, Xiulian Sun, Chuanzhu Yan, Fuchen Liu
Publikováno v:
Stem Cell Research, Vol 77, Iss , Pp 103386- (2024)
We obtained skin fibroblasts from a 34-year-old healthy woman and established a human induced pluripotent stem cell (hiPSC) line (INDSUi005-A) using a non-integrated reprogramming approach. The obtained cells have typical characteristics of embryonic
Externí odkaz:
https://doaj.org/article/8e839ec72bed46d98e03d9a60c33e2fc
Publikováno v:
Green Chemical Engineering, Vol 4, Iss 4, Pp 427-432 (2023)
Rapid, selective, and quantitative profiling of SO32− is a prerequisite for investigating its effect on different physiopathological processes. To address this challenge, our team prepared a ratiometric fluorescent probe HBTC-S, based on 4-(benzoth
Externí odkaz:
https://doaj.org/article/0a249770bc674e73b86e153e61303cf7
Publikováno v:
Behavioral Sciences, Vol 14, Iss 9, p 738 (2024)
Social commerce blurs the boundary between online social interaction and online shopping. The emergence of video streams introduces novel marketing modalities to social commerce. However, there is a paucity of comprehensive studies investigating the
Externí odkaz:
https://doaj.org/article/eaa182f3605548a69f344475fae6c499
Autor:
Yitong Yang, BSc, Matthias Chung, PhD, Jerome Yerly, PhD, Davide Piccini, PhD, Matthias Stuber, PhD, John Oshinski, PhD
Publikováno v:
Journal of Cardiovascular Magnetic Resonance, Vol 26, Iss , Pp 100804- (2024)
Externí odkaz:
https://doaj.org/article/3b2d03aed51b4047a0bade75fa643275
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 35, Iss 6, Pp 101545- (2023)
Intelligent farm robots empowered by proper vision algorithms are the new agricultural machinery that eases weed control with speed and accuracy. Based on the farmland substantial similarity between the crops, and weeds, or other background interfere
Externí odkaz:
https://doaj.org/article/a2254f9da0bc485e91f064d8042e5425
Autor:
Yitong Yang, Zahraw Shah, Athira J. Jacob, Jackson Hair, Teodora Chitiboi, Tiziano Passerini, Jerome Yerly, Lorenzo Di Sopra, Davide Piccini, Zahra Hosseini, Puneet Sharma, Anurag Sahu, Matthias Stuber, John N. Oshinski
Publikováno v:
Frontiers in Radiology, Vol 3 (2023)
IntroductionDeep learning (DL)-based segmentation has gained popularity for routine cardiac magnetic resonance (CMR) image analysis and in particular, delineation of left ventricular (LV) borders for LV volume determination. Free-breathing, self-navi
Externí odkaz:
https://doaj.org/article/5fac8cbe2fc74480851a956d1984e4f2
Publikováno v:
Frontiers in Earth Science, Vol 11 (2023)
Air pollution is of high relevance to human health. In this study, multiple machine-learning (ML) models—linear regression, random forest (RF), AdaBoost, and neural networks (NNs)—were used to explore the potential impacts of air-pollutant concen
Externí odkaz:
https://doaj.org/article/9205fb2c63654d29a4c0206da1bf2647