Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Ruichen Xu"'
Feature sequence-based genome mining uncovers the hidden diversity of bacterial siderophore pathways
Autor:
Shaohua Gu, Yuanzhe Shao, Karoline Rehm, Laurent Bigler, Di Zhang, Ruolin He, Ruichen Xu, Jiqi Shao, Alexandre Jousset, Ville-Petri Friman, Xiaoying Bian, Zhong Wei, Rolf Kümmerli, Zhiyuan Li
Publikováno v:
eLife, Vol 13 (2024)
Microbial secondary metabolites are a rich source for pharmaceutical discoveries and play crucial ecological functions. While tools exist to identify secondary metabolite clusters in genomes, precise sequence-to-function mapping remains challenging b
Externí odkaz:
https://doaj.org/article/a7bc2368a90e42acab99bc2fe430548a
Autor:
Ruichen Xu, Duane C. Chapman, Caroline M. Elliott, Bruce C. Call, Robert B. Jacobson, Binbin Wang
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Bighead carp (Hypophthalmichthys nobilis), silver carp (H. molitrix), black carp (Mylopharyngodon piceus), and grass carp (Ctenopharyngodon idella), are invasive species in North America. However, they hold significant economic importance as
Externí odkaz:
https://doaj.org/article/c4ad5a187dce4e8aab31ab0b0856164c
Publikováno v:
Machines, Vol 12, Iss 4, p 252 (2024)
Autonomous lane-change, a key feature of advanced driver-assistance systems, can enhance traffic efficiency and reduce the incidence of accidents. However, safe driving of autonomous vehicles remains challenging in complex environments. How to perfor
Externí odkaz:
https://doaj.org/article/6eb4fe15619340c1ace0851248c2e53f
Autor:
Dan Shan, Shaoyang Li, Ruichen Xu, Jingtao Huang, Yi Wang, Yuandian Zheng, Shanshan Huang, Yuming Song, Junchu Han, Sayaka Suto, Zhihao Dai
Publikováno v:
Frontiers in Public Health, Vol 11 (2023)
BackgroundThe main purpose of this study was to explore the relationship between depression literacy (D-Lit) and the development and progression of depressive mood.MethodsThis longitudinal study with multiple cross-sectional analyses used data from a
Externí odkaz:
https://doaj.org/article/4ce4e4c547564b57a681f6cd079500b3
Autor:
Dan Shan, Shaoyang Li, Ruichen Xu, Glen Nie, Yangyiran Xie, Junchu Han, Xiaoyi Gao, Yuandian Zheng, Zhen Xu, Zhihao Dai
Publikováno v:
Frontiers in Aging Neuroscience, Vol 14 (2022)
Many people with coronavirus disease 2019 (COVID-19) report varying degrees of memory impairment. Neuroimaging techniques such as MRI and PET have been utilized to shed light on how COVID-19 affects brain function in humans, including memory dysfunct
Externí odkaz:
https://doaj.org/article/cd419dddd9824b0a86b5d876e07d3eea
Publikováno v:
Water Supply, Vol 21, Iss 4, Pp 1778-1792 (2021)
The aim of this study was to quantify the sources of pollution in the Yagang River Basin. A 1-D hydrodynamic model and a 1-D water quality model were combined with the excessive pollutant flux analysis method to calculate pollution data of the Yagang
Externí odkaz:
https://doaj.org/article/768c3bf9600c4ae4becd23607120c691
Publikováno v:
Water Supply, Vol 21, Iss 2, Pp 723-735 (2021)
This study utilized the ECO Lab model calculation samples of Tai Lake, in combination with robust analysis and the GCV test, to promote a faster intelligent application of machine learning and evaluate the MARS machine learning method. The results re
Externí odkaz:
https://doaj.org/article/f01b512d83784b81be1acc784be1c47a
Publikováno v:
Water, Vol 15, Iss 6, p 1213 (2023)
Systematic evaluation of water environment carrying capacity (WECC) is a prerequisite for achieving sustainable development, which reflects the water environment comprehensive condition of lake basin under the current economic development scenario. T
Externí odkaz:
https://doaj.org/article/5a2656d62e774ed29314a2eee8a723e9
Publikováno v:
Complexity, Vol 2020 (2020)
Appropriate water body diversion can improve the water quality of Tai Lake. Excessive diversion of water would, however, dramatically alter the local flow fields, which are not conducive to the growth of aquatic plants and the stability of ecosystems
Externí odkaz:
https://doaj.org/article/c47691c6ee3b42ee83c110e39429605f
Publikováno v:
Water, Vol 13, Iss 13, p 1861 (2021)
We selected Tai Lake in China as the research area, and based on the Eco-lab model, we parameterized seven main external input conditions: discharge, carbon, nitrogen, phosphorus, wind speed, elevation, and temperature. We combined the LHS uncertaint
Externí odkaz:
https://doaj.org/article/c4da9fcd9d124206b56b24333e52bb45