Zobrazeno 1 - 10
of 109
pro vyhledávání: '"Haoqi Li"'
Publikováno v:
Autonomous Intelligent Systems, Vol 4, Iss 1, Pp 1-8 (2024)
Abstract Combining safety objectives with stability objectives is crucial for safety-critical systems. Existing studies generally unified these two objectives by constructing Lyapunov-type barrier functions. However, insufficient analysis of key set
Externí odkaz:
https://doaj.org/article/f7bcb45727ed48ebae6b5956cfff6f82
Autor:
Qinghua Shang, Wenhui Gao, Xiangting Zhang, Jianqing Zhao, Ying Wu, Haoqi Li, Ming Zhou, Zhen F. Fu, Chengguang Zhang, Ling Zhao
Publikováno v:
Animal Diseases, Vol 4, Iss 1, Pp 1-17 (2024)
Abstract Bordetella bronchiseptica (Bb) is recognized as a leading cause of respiratory diseases in dogs and cats. However, epidemiological data on Bb in dogs and cats in China are still limited, and there is no commercially available vaccine. Live v
Externí odkaz:
https://doaj.org/article/9627741322b94e6db6ce0ff8e12a987f
Autor:
Qianru Rao, Yujie Xu, Xiaorong Wang, Hang Luo, Haoqi Li, Jingyuan Xiong, Huile Gao, Guo Cheng
Publikováno v:
SusMat, Vol 4, Iss 4, Pp n/a-n/a (2024)
Abstract Dysfunction of the hypothalamus is associated with endocrine imbalances, growth abnormalities, and reproductive disorders. However, there is a lack of targeted treatment strategies focused on the hypothalamus. In this study, we constructed a
Externí odkaz:
https://doaj.org/article/78d69c50c1034aa8b18dd96a4dad41ce
Publikováno v:
BMC Psychiatry, Vol 22, Iss 1, Pp 1-7 (2022)
Abstract Background The bidirectional causal association between daytime napping frequency and schizophrenia is unclear. Methods A bidirectional two-sample Mendelian randomization (MR) analysis was conducted with summary statistics of top genetic var
Externí odkaz:
https://doaj.org/article/43dd1d88f78443e79ff0b264c71fe172
Autor:
Chen Jin, Rui Li, Tuo Deng, Zixia Lin, Haoqi Li, Yan Yang, Qing Su, Jingxian Wang, Yi Yang, Juejin Wang, Gang Chen, Yi Wang
Publikováno v:
Frontiers in Nutrition, Vol 9 (2022)
BackgroundObservational studies have revealed that dried fruit intake may be associated with cancer incidence; however, confounding factors make the results prone to be disturbed. Therefore, we conducted a two-sample Mendelian randomization (MR) stud
Externí odkaz:
https://doaj.org/article/78d85089da774c69b1f86abcfb248660
Publikováno v:
Drones, Vol 7, Iss 6, p 366 (2023)
Wind speed and direction are critical meteorological elements. Multi-rotor unmanned aerial vehicles UAVs are widely used as a premium payload platform in meteorological monitoring. The meteorological UAV is able to improve the spatial and temporal re
Externí odkaz:
https://doaj.org/article/00be3d18db044c008689a256ace3399b
Publikováno v:
Journal of Marine Science and Engineering, Vol 11, Iss 2, p 339 (2023)
On account of current algorithm and parameter design difficulties and low detection accuracy in feature extractions of small target detections in sea clutter environment, this paper proposes a correspondingly improved four feature extraction method b
Externí odkaz:
https://doaj.org/article/aba53451a7cc4cb8aff6886852326bb5
Autor:
Chen Jin, Rui Li, Tuo Deng, Jialiang Li, Yan Yang, Haoqi Li, Kaiyu Chen, Huihua Xiong, Gang Chen, Yi Wang
Publikováno v:
Frontiers in Molecular Biosciences, Vol 8 (2021)
Hepatocellular carcinoma (HCC) is a highly invasive malignancy prone to recurrence, and patients with HCC have a low 5-year survival rate. Long non-coding RNAs (lncRNAs) play a vital role in the occurrence and development of HCC. N6-methyladenosine m
Externí odkaz:
https://doaj.org/article/c555f568475943e6b669cbb887c450f4
Publikováno v:
PeerJ Computer Science, Vol 6, p e246 (2020)
Human behavior refers to the way humans act and interact. Understanding human behavior is a cornerstone of observational practice, especially in psychotherapy. An important cue of behavior analysis is the dynamical changes of emotions during the conv
Externí odkaz:
https://doaj.org/article/2085552a9aea40a395567375a5b8713e
Publikováno v:
Dianxin kexue, Vol 34, Pp 34-42 (2018)
Aiming at the difficulties in high-dimensional outlier detection at present,an algorithm of high-dimensional outlier detection based on deep belief network and linear one-class SVM was proposed.The algorithm firstly used the deep belief network which
Externí odkaz:
https://doaj.org/article/7bd862a14f544b3eaa4a654995550c56