Zobrazeno 1 - 10
of 1 308
pro vyhledávání: '"LI Xiangrui"'
Publikováno v:
Guoji Yanke Zazhi, Vol 24, Iss 5, Pp 784-789 (2024)
Etiological research is necessary for understanding the occurrence and epidemiological patterns of diseases, and is also a prerequisite for the diagnosis, prevention and treatment of clinical diseases. Mendelian randomization(MR), a method of researc
Externí odkaz:
https://doaj.org/article/c3c68f889d8d470c97c19de78be8be74
Autor:
Li, Xiangrui
The importance of Non-Intrusive Load Monitoring (NILM) has been increasingly recognized, given that NILM can enhance energy awareness and provide valuable insights for energy program design. Many existing NILM methods often rely on specialized device
Externí odkaz:
http://arxiv.org/abs/2409.00007
Publikováno v:
Parasite, Vol 28, p 13 (2021)
The surface protein TIGIT (T cell immunoglobulin and immunoreceptor tyrosine-based inhibitory motif (ITIM) domain) has been characterized as an important regulator of cell-mediated immune responses in various infections. However, TIGIT expression in
Externí odkaz:
https://doaj.org/article/22e4810644694f25acd7c88d63b77d8c
Publikováno v:
Parasite, Vol 28, p 55 (2021)
Toxoplasma gondii is widespread worldwide and can infect swine. This study evaluated the seroprevalence of T. gondii in swine from central China after an outbreak of African swine fever (ASF). A total of 2683 swine serum samples were collected from f
Externí odkaz:
https://doaj.org/article/d8765ecc9791443d8b30fa7b25dc11ca
Autor:
Li Xiangrui
Publikováno v:
MATEC Web of Conferences, Vol 353, p 01022 (2021)
With the rapid growth of lithium-ion batteries (LIBs) industry and market, it is important to develop LIBs with higher capacities, stability and lifespan. However, challenges like low conductivity, solid electrolyte interface formation and electrode
Externí odkaz:
https://doaj.org/article/faf0e858802f427ca525669be0723be5
Autor:
Poldrack, Russell A., Markiewicz, Christopher J., Appelhoff, Stefan, Ashar, Yoni K., Auer, Tibor, Baillet, Sylvain, Bansal, Shashank, Beltrachini, Leandro, Benar, Christian G., Bertazzoli, Giacomo, Bhogawar, Suyash, Blair, Ross W., Bortoletto, Marta, Boudreau, Mathieu, Brooks, Teon L., Calhoun, Vince D., Castelli, Filippo Maria, Clement, Patricia, Cohen, Alexander L, Cohen-Adad, Julien, D'Ambrosio, Sasha, de Hollander, Gilles, de la iglesia-Vayá, María, de la Vega, Alejandro, Delorme, Arnaud, Devinsky, Orrin, Draschkow, Dejan, Duff, Eugene Paul, DuPre, Elizabeth, Earl, Eric, Esteban, Oscar, Feingold, Franklin W., Flandin, Guillaume, galassi, anthony, Gallitto, Giuseppe, Ganz, Melanie, Gau, Rémi, Gholam, James, Ghosh, Satrajit S., Giacomel, Alessio, Gillman, Ashley G, Gleeson, Padraig, Gramfort, Alexandre, Guay, Samuel, Guidali, Giacomo, Halchenko, Yaroslav O., Handwerker, Daniel A., Hardcastle, Nell, Herholz, Peer, Hermes, Dora, Honey, Christopher J., Innis, Robert B., Ioanas, Horea-Ioan, Jahn, Andrew, Karakuzu, Agah, Keator, David B., Kiar, Gregory, Kincses, Balint, Laird, Angela R., Lau, Jonathan C., Lazari, Alberto, Legarreta, Jon Haitz, Li, Adam, Li, Xiangrui, Love, Bradley C., Lu, Hanzhang, Maumet, Camille, Mazzamuto, Giacomo, Meisler, Steven L., Mikkelsen, Mark, Mutsaerts, Henk, Nichols, Thomas E., Nikolaidis, Aki, Nilsonne, Gustav, Niso, Guiomar, Norgaard, Martin, Okell, Thomas W, Oostenveld, Robert, Ort, Eduard, Park, Patrick J., Pawlik, Mateusz, Pernet, Cyril R., Pestilli, Franco, Petr, Jan, Phillips, Christophe, Poline, Jean-Baptiste, Pollonini, Luca, Raamana, Pradeep Reddy, Ritter, Petra, Rizzo, Gaia, Robbins, Kay A., Rockhill, Alexander P., Rogers, Christine, Rokem, Ariel, Rorden, Chris, Routier, Alexandre, Saborit-Torres, Jose Manuel, Salo, Taylor, Schirner, Michael, Smith, Robert E., Spisak, Tamas, Sprenger, Julia, Swann, Nicole C., Szinte, Martin, Takerkart, Sylvain, Thirion, Bertrand, Thomas, Adam G., Torabian, Sajjad, Varoquaux, Gael, Voytek, Bradley, Welzel, Julius, Wilson, Martin, Yarkoni, Tal, Gorgolewski, Krzysztof J.
The Brain Imaging Data Structure (BIDS) is a community-driven standard for the organization of data and metadata from a growing range of neuroscience modalities. This paper is meant as a history of how the standard has developed and grown over time.
Externí odkaz:
http://arxiv.org/abs/2309.05768
Autor:
Wang Shuai, Li Haoran, Yao Zhijun, Li Pengju, Wang Dong, Zhang Haizhu, Xie Qing, Zhang Zhenchao, Li Xiangrui
Publikováno v:
Parasite, Vol 27, p 30 (2020)
Toxocariasis is a zoonotic disease that poses a threat to public health worldwide. In the present study, we investigated the seroprevalence of Toxocara infection among primary school children in Henan province, central China, which was previously unk
Externí odkaz:
https://doaj.org/article/052a1856a36842efa342678e869048c9
Autor:
Zhang Zhenchao, Zhou Zhouyang, Huang Jianmei, Sun Xiaoting, Haseeb Muhammad, Ahmed Shakeel, Shah Muhammad Ali A., Yan Ruofeng, Song Xiaokai, Xu Lixin, Li Xiangrui
Publikováno v:
Parasite, Vol 27, p 18 (2020)
Eimeria acervulina is one of seven Eimeria spp. that can infect chicken duodenal epithelial cells. Eimeria microneme protein 3 (MIC3) plays a vital role in the invasion of host epithelial tissue by the parasite. In this study, we found that chicken (
Externí odkaz:
https://doaj.org/article/71f77b263d2f42c58bb151f9316219c4
Autor:
Wang Shuai, Yao Zhijun, Li Haoran, Li Pengju, Wang Dong, Zhang Haizhu, Xie Qing, Zhang Zhenchao, Li Xiangrui
Publikováno v:
Parasite, Vol 27, p 23 (2020)
Toxoplasma gondii is an obligate intracellular protozoan parasite with global distribution. However, data on T. gondii infection among children in primary school in Henan province, central China were lacking. In this study, 2451 serum samples of prim
Externí odkaz:
https://doaj.org/article/ffbaf0429e9f4c6997da5378252d5987
Deep neural networks (DNNs) for supervised learning can be viewed as a pipeline of the feature extractor (i.e., last hidden layer) and a linear classifier (i.e., output layer) that are trained jointly with stochastic gradient descent (SGD) on the los
Externí odkaz:
http://arxiv.org/abs/2211.13332