Zobrazeno 1 - 10
of 103
pro vyhledávání: '"Zijie, Zhao"'
Autor:
Zijie Zhao, Tim Gruenloh, Meiyi Yan, Yixuan Wu, Zhongxuan Sun, Jiacheng Miao, Yuchang Wu, Jie Song, Qiongshi Lu
Publikováno v:
Genome Biology, Vol 25, Iss 1, Pp 1-28 (2024)
Abstract Background Polygenic risk score (PRS) is a major research topic in human genetics. However, a significant gap exists between PRS methodology and applications in practice due to often unavailable individual-level data for various PRS tasks in
Externí odkaz:
https://doaj.org/article/7215d93b706c42faab8e813e4ae4fdaa
Autor:
Yun Zhang, Tong Jin, Yining Deng, Zijie Zhao, Rui Wang, Qiong He, Jianwen Luo, Jiawei Li, Kang Du, Tao Wu, Chenfang Yan, Hao Zhang, Xinchao Lu, Chengjun Huang, Hang Gao
Publikováno v:
Microsystems & Nanoengineering, Vol 10, Iss 1, Pp 1-16 (2024)
Abstract Wearable ultrasound imaging technology has become an emerging modality for the continuous monitoring of deep-tissue physiology, providing crucial health and disease information. Fast volumetric imaging that can provide a full spatiotemporal
Externí odkaz:
https://doaj.org/article/aa916ef81d8a494689b45aba2d0d945e
This paper presents a Pre-Training Deep Reinforcement Learning(DRL) for avoidance navigation without map for mobile robots which map raw sensor data to control variable and navigate in an unknown environment. The efficient offline training strategy i
Externí odkaz:
http://arxiv.org/abs/2308.01551
Publikováno v:
Nanomaterials, Vol 14, Iss 17, p 1462 (2024)
Structural health monitoring (SHM) of composite materials is of great significance in various practical applications. However, it is a challenge to accurately monitor the damage of composites without affecting their mechanical properties. In this pap
Externí odkaz:
https://doaj.org/article/7464f8cb41844037a2270e1bf66d8048
Publikováno v:
Journal of Asian Architecture and Building Engineering, Vol 22, Iss 4, Pp 2094-2110 (2023)
The early industrial heritage of Anshan Steel Works is not only an important contested heritage to the spread of technology after the world industrial revolution, but also a typical representative of “passive receiving” the modernization of Chine
Externí odkaz:
https://doaj.org/article/5839662bfafd49b6a64ab64d2da4e5fd
Publikováno v:
Sensors, Vol 24, Iss 9, p 2714 (2024)
In this paper, we present a novel three-dimensional (3D) coupled configuration of piezoelectric micromachined ultrasound transducers (pMUTs) by combing a curved and an annular diaphragm for transmit performance optimization in biomedical applications
Externí odkaz:
https://doaj.org/article/a6820513167048118734205b8f3f417f
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-13 (2023)
Polygenic risk scores are used to improve risk prediction for common diseases but typically have reduced accuracy for individuals of non-European ancestry. Here, the authors present an approach that improves polygenic risk score performance in ancest
Externí odkaz:
https://doaj.org/article/a1e062fda2fc420eb11d06392cf93f52
Autor:
Heng Xu, Hongfang Zhao, Chunyong Ding, Defang Jiang, Zijie Zhao, Yang Li, Xiaoyu Ding, Jing Gao, Hu Zhou, Cheng Luo, Guoqiang Chen, Ao Zhang, Ying Xu, Hao Zhang
Publikováno v:
Signal Transduction and Targeted Therapy, Vol 8, Iss 1, Pp 1-16 (2023)
Abstract As a terpenoids natural product isolated from the plant Thunder God Vine, Celastrol is widely studied for its pharmacological activities, including anti-tumor activities. The clinical application of Celastrol is strictly limited due to its s
Externí odkaz:
https://doaj.org/article/88620cf1dad04887adc187163b5f2726
Publikováno v:
SSM - Mental Health, Vol 2, Iss , Pp 100044- (2022)
The current study evaluates genetic heterogeneities in response to trauma among U.S. young adults. Using Add Health Wave III, which coincidently overlapped with the September 11 attacks, and a depression mean and variance polygenic scores, we investi
Externí odkaz:
https://doaj.org/article/67fbb7a22bc646c6bc5bb872e6ec2735
Autor:
Zijie Zhao, Yanyao Yi, Jie Song, Yuchang Wu, Xiaoyuan Zhong, Yupei Lin, Timothy J. Hohman, Jason Fletcher, Qiongshi Lu
Publikováno v:
Genome Biology, Vol 22, Iss 1, Pp 1-19 (2021)
Abstract Polygenic risk scores (PRSs) have wide applications in human genetics research, but often include tuning parameters which are difficult to optimize in practice due to limited access to individual-level data. Here, we introduce PUMAS, a novel
Externí odkaz:
https://doaj.org/article/70c19ff70b3a44aabaf63eef0e36c681