Zobrazeno 1 - 10
of 656
pro vyhledávání: '"LIU Jiani"'
Publikováno v:
Open Medicine, Vol 17, Iss 1, Pp 1860-1868 (2022)
Chronic cerebral hypoperfusion (CCH) is a frequent ischemic cerebrovascular disease that induces brain dysfunction. Shunaoxin pills (SNX) are traditional Chinese medicines (TCM), frequently used for the treatment of CCH. The purpose of this study was
Externí odkaz:
https://doaj.org/article/d5699ec9717c4f1fb983a743f08463a2
Autor:
Jiang Yanyan, Jiang Aiying, Ren Guangxu, Wang Long, Xin Xianming, Yuan Zhongying, Liu Jiani, Li Zhen, Sun Yanbin, Zhou Shanshan, Lu Gang, Huang Huicong, Zhao Wei
Publikováno v:
Parasite, Vol 31, p 34 (2024)
Wild rodents serve as reservoirs for Cryptosporidium and are overpopulated globally. However, genetic data regarding Cryptosporidium in these animals from China are limited. Here, we have determined the prevalence and genetic characteristics of Crypt
Externí odkaz:
https://doaj.org/article/380ca0142d0141779645584bbe63856a
Publikováno v:
Shiyan dongwu yu bijiao yixue, Vol 42, Iss 3, Pp 177-186 (2022)
Objective To compare and explore the histopathological and ultrastructural characteristics of the olfactory bulb in 6- and 12-month-old APP/PS1 double-transgenic mice and their spatial learning and memory ability, as well as the effects of memantine
Externí odkaz:
https://doaj.org/article/893baeae189b48479430c9e994220284
Additive models can be used for interpretable machine learning for their clarity and simplicity. However, In the classical models for high-order data, the vectorization operation disrupts the data structure, which may lead to degenerated accuracy and
Externí odkaz:
http://arxiv.org/abs/2406.02980
Offline Imitation Learning (IL) with imperfect demonstrations has garnered increasing attention owing to the scarcity of expert data in many real-world domains. A fundamental problem in this scenario is how to extract positive behaviors from noisy da
Externí odkaz:
http://arxiv.org/abs/2405.17476
The proliferation of images captured from millions of cameras and the advancement of facial recognition (FR) technology have made the abuse of FR a severe privacy threat. Existing works typically rely on obfuscation, synthesis, or adversarial example
Externí odkaz:
http://arxiv.org/abs/2401.00151
Efficient probability density estimation is a core challenge in statistical machine learning. Tensor-based probabilistic graph methods address interpretability and stability concerns encountered in neural network approaches. However, a substantial nu
Externí odkaz:
http://arxiv.org/abs/2312.08075
Autor:
Liu Jiani
Publikováno v:
E3S Web of Conferences, Vol 236, p 05088 (2021)
The unexpected outbreak of the Covid-19 in 2020 has shifted the focus of the media worldwide to the comprehensive, tridimensional and truthful coverage of the catastrophe to the audience. Through the shooting of the Wuhan epidemic as an example, the
Externí odkaz:
https://doaj.org/article/5b91a3fa34f74fe4ad33741c67c4b887
Multitask learning (MTL) leverages task-relatedness to enhance performance. With the emergence of multimodal data, tasks can now be referenced by multiple indices. In this paper, we employ high-order tensors, with each mode corresponding to a task in
Externí odkaz:
http://arxiv.org/abs/2308.16056