Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Lexin Zhou"'
Autor:
Kun Qin, Lexin Zhou
Publikováno v:
PLoS ONE, Vol 19, Iss 11, p e0311629 (2024)
As globalization and economic development accelerate, Chinese tea has emerged as an essential export commodity in the international market. China boasts abundant tea resources, which have significantly promoted economic growth through tea exports. Th
Externí odkaz:
https://doaj.org/article/d20aa0e4933646faa4238a27e027aa3d
Autor:
Lexin Zhou, Nekane Romero-García, Juan Martínez-Miranda, J Alberto Conejero, Juan M García-Gómez, Carlos Sáez
Publikováno v:
JMIR Public Health and Surveillance, Vol 8, Iss 3, p e30032 (2022)
BackgroundThe COVID-19 pandemic has led to an unprecedented global health care challenge for both medical institutions and researchers. Recognizing different COVID-19 subphenotypes—the division of populations of patients into more meaningful subgro
Externí odkaz:
https://doaj.org/article/1fb732a2c1f94a54a12062c1d602152d
Autor:
Yuanyuan Cheng, Lexin Zhou, Tian Liang, Jiayin Man, Yinghao Wang, Yu Li, Hui Chen, Taoxiang Zhang
Publikováno v:
Microorganisms, Vol 10, Iss 1, p 42 (2021)
Based on the importance and sensitivity of microbial communities to changes in the forest ecosystem, soil microorganisms can be used to indicate the health of the forest system. The metagenome sequencing was used to analyze the changes of microbial c
Externí odkaz:
https://doaj.org/article/e90e33bd61184279a79116327ef35f4e
Autor:
Yang Xia, Lexin Zhou, Kun Wang, Chengwei Lu, Zhen Xiao, Qinzhong Mao, Xiaoxiao Lu, Jun Zhang, Hui Huang, Yongping Gan, Xinping He, Wenkui Zhang, Xinhui Xia
Publikováno v:
Journal of Solid State Electrochemistry. 27:1363-1372
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 42:1445-1454
Aspect-based sentiment analysis (ABSA) contains three subtasks, namely aspect term extraction, opinion term extraction and aspect-level sentiment classification. In order to make full use of the relationship between the three subtasks, some recent st
Autor:
Lexin Zhou, Nekane Romero-García, Rafael Badenes, Teresa García Morales, David Lora, Agustín Gómez de la Cámara, Francisco T García Ruiz, Juan M García-Gómez, Carlos Sáez
Background Elderly patients with COVID-19 are among the most numerous populations being admitted in the ICU due to its high mortality rate and high comorbidity incidence. An early severity risk stratification at hospital admission could help optimize
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::214d761c293edfacf1faa50fb14b88ee
https://doi.org/10.1101/2022.05.10.22274889
https://doi.org/10.1101/2022.05.10.22274889
Autor:
Lexin Zhou, Nekane Romero-García, Juan Martínez-Miranda, J Alberto Conejero, Juan M García-Gómez, Carlos Sáez
BACKGROUND The COVID-19 pandemic has led to an unprecedented global health care challenge for both medical institutions and researchers. Recognizing different COVID-19 subphenotypes—the division of populations of patients into more meaningful subgr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::966d17c7f3528db061b08bc4ea8659bc
https://doi.org/10.2196/preprints.30032
https://doi.org/10.2196/preprints.30032
Autor:
Juan M. García-Gómez, Juan Martínez-Miranda, Nekane Romero, J. Alberto Conejero, Lexin Zhou, Carlos Sáez
Objective To describe COVID-19 subphenotypes regarding severity patterns including prognostic, ICU and morbimortality outcomes, through stratification based on gender and age groups, as described by inter-patient variability patterns in clinical phen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4baf4ac182305b6a60c390f22a1817d6
https://doi.org/10.1101/2021.02.21.21252132
https://doi.org/10.1101/2021.02.21.21252132
Autor:
Haiping Xu, Lexin Zhou
Publikováno v:
MobileCloud
Current cloud-based solutions of mobile commerce (m-commerce) for on-demand transport services, such as Uber and Didi Dache, uses a take-it-or-leave-it market mechanism, in which passengers and drivers have no option but to accept or reject given mar