Zobrazeno 1 - 10
of 549
pro vyhledávání: '"LI Hanqing"'
Publikováno v:
精准医学杂志, Vol 39, Iss 2, Pp 108-113 (2024)
Objective To investigate the protective effect of xylo-oligosaccharides on mice with fatty liver induced by high-fat diet and related mechanisms. Methods A total of 40 male C57/BL6J mice, aged 5 weeks, were randomly divided into low-fat diet control
Externí odkaz:
https://doaj.org/article/7e29a39fd6d34c08bd23e0d38449af4d
Publikováno v:
Magazine of Civil Engineering, Vol 17, Iss 3 (2024)
The Statistical Package for Social Sciences (SPSS) Statistics software suit was used to test the model's goodness of fit and its normal distribution. Combined with the actual pavement survey data these tools were used to verify the model. The researc
Externí odkaz:
https://doaj.org/article/75f765578aed464e94ca4852cf891b14
Publikováno v:
BMC Musculoskeletal Disorders, Vol 24, Iss 1, Pp 1-7 (2023)
Abstract Objective This study aimed to investigate the techniques and indications of upper sacroiliac screw fixation for the dysmorphic sacrum. Methods The dysmorphic sacra were selected from 267 three-dimensional pelvic models. The dysmorphic sacra
Externí odkaz:
https://doaj.org/article/bf01b08bee9a4f43a881958d811d2e7b
Autor:
Li, Hanqing, Klabjan, Diego
This paper explores a new black-box, zero-shot language model inversion problem and proposes an innovative framework for prompt reconstruction using only text outputs from a language model. Leveraging a large language model alongside an optimization
Externí odkaz:
http://arxiv.org/abs/2411.06729
Electrofreezing is a powerful technique that employs the electric field to control and enhance the freezing process. In this work, a phase-field-based lattice Boltzmann (LB) method is developed to study the electrofreezing process of sessile droplet
Externí odkaz:
http://arxiv.org/abs/2410.06657
Autor:
Fu, Siqing, Li, Tiejun, Zhang, Chunyuan, Li, Hanqing, Ma, Sheng, Zhang, Jianmin, Zhang, Ruiyi, Wu, Lizhou
Publikováno v:
IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 31, no. 10, pp. 1578-1591, Oct. 2023
High-quality random numbers are very critical to many fields such as cryptography, finance, and scientific simulation, which calls for the design of reliable true random number generators (TRNGs). Limited by entropy source, throughput, reliability, a
Externí odkaz:
http://arxiv.org/abs/2312.17453
Publikováno v:
ACCV 2024. Lecture Notes in Computer Science, vol 15479
This paper introduces a new, unsupervised method for automatic video summarization using ideas from generative adversarial networks but eliminating the discriminator, having a simple loss function, and separating training of different parts of the mo
Externí odkaz:
http://arxiv.org/abs/2311.03745
In this work, we propose Branch-to-Trunk network (BTNet), a representation learning method for multi-resolution face recognition. It consists of a trunk network (TNet), namely a unified encoder, and multiple branch networks (BNets), namely resolution
Externí odkaz:
http://arxiv.org/abs/2310.09563
Autor:
He, Mengzhe, Wang, Yali, Wu, Jiaxi, Wang, Yiru, Li, Hanqing, Li, Bo, Gan, Weihao, Wu, Wei, Qiao, Yu
Cross domain object detection is a realistic and challenging task in the wild. It suffers from performance degradation due to large shift of data distributions and lack of instance-level annotations in the target domain. Existing approaches mainly fo
Externí odkaz:
http://arxiv.org/abs/2205.01291
Autor:
Wu, Xuan 1, 6, 7, 9, Xiang, Rong 5, 9, Yang, Danting 8, He, Xiaoyao 1, Zhu, Lu 1, Sun, Fangfang 1, Li, Hanqing 1, Pi, Ningning 1, ∗, Li, Yi 2, 3, 4, 10, ∗∗
Publikováno v:
In iScience 20 December 2024 27(12)