Microbial Removal of Petroleum Hydrocarbons from Contaminated Soil under Arsenic Stress

Autor: Qu Su, Jiang Yu, Kaiqin Fang, Panyue Dong, Zheyong Li, Wuzhu Zhang, Manxia Liu, Luojing Xiang, Junxiong Cai

Publikováno v: Toxics, Vol 11, Iss 2, p 143 (2023)

The contamination of soils with petroleum and its derivatives is a longstanding, widespread, and worsening environmental issue. However, efforts to remediate petroleum hydrocarbon-polluted soils often neglect or overlook the interference of heavy met

Externí odkaz: https://doaj.org/article/ccfb5a47608045d89b7b9c9f4a4ce6e6

A Geomagnetic Sensor Dataset for Traffic Flow Prediction

Autor: Huanchen Wang, Quanjun Chen, Zheng Dong, Xuan Song, Hao Tian, Donglong Yang, Manxia Liu

Publikováno v: 2022 IEEE International Conference on Big Data (Big Data).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d1c54fc3bdbe5737aedce445bfc927b5
https://doi.org/10.1109/bigdata55660.2022.10020763

A comparison between discrete and continuous time Bayesian networks in learning from clinical time series data with irregularity

Autor: Arjen Hommersom, Erik Bischoff, Fabio Stella, Peter J. F. Lucas, Lonneke M. Boer, Manxia Liu

Publikováno v: Liu, M, Stella, F, Hommersom, A, Lucas, P J F, Boer, L & Bischoff, E 2019, ' A comparison between discrete and continuous time Bayesian networks in learning from clinical time series data with irregularity ', Artificial Intelligence in Medicine, vol. 95, pp. 104-117 . https://doi.org/10.1016/j.artmed.2018.10.002
Artificial intelligence in medicine, 95, 104-117. Elsevier
Artificial Intelligence in Medicine, 95, 104-117. Elsevier
Artificial Intelligence in Medicine, 95, 104-117
Artificial Intelligence in Medicine, 95, pp. 104-117

Background:Recently, mobile devices, such as smartphones, have been introduced into healthcare research to substitute paper diaries as data-collection tools in the home environment. Such devices support collecting patient data at different time point

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab3550eee9ea61a78aa23896a069a537
https://doi.org/10.1016/j.artmed.2018.10.002

The effects of foam filling on the dynamic response of metallic corrugated core sandwich panel under air blast loading – Experimental investigations

Autor: Wei Xiao, Manxia Liu, Changzai Zhang, Jun Liu, Yuansheng Cheng, Pan Zhang, Hailiang Hou

Publikováno v: International Journal of Mechanical Sciences. 145:378-388

This research aims to elucidate the effects of foam filling on the dynamic response of metallic corrugated core sandwich panels by conducting air blast testing. The panels were designed to investigate the influences of specific parameters, like the f

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::20f69b1fcaf65b5c53e7fa87b8c58932
https://doi.org/10.1016/j.ijmecsci.2018.07.030

Numerical Study on the Response of Functionally Graded PVC Foam Core Sandwich Panels Subjected to Non-Contact Underwater Explosion

Autor: Tianyu Zhou, Jun Liu, Manxia Liu, Yuansheng Cheng, Pan Zhang

Publikováno v: Volume 3: Structures, Safety, and Reliability.

In this paper, the numerical model was developed by using the commercial code LS/DYNA to investigate the dynamic response of sandwich panels with three PVC foam core layers subjected to non-contact underwater explosion. The simulation results showed

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::34e530557e749422d610ea43d8d9bbed
https://doi.org/10.1115/omae2018-77629