Cognitive manipulation of emotional and non-emotional information in working memory of patients with depression: a rigid processing style

Autor: Jiacheng Cui, Jianglin Wen, Dong Wang

Publikováno v: Frontiers in Psychology, Vol 14 (2023)

IntroductionCognitive psychology is one of the important perspectives to understand depression. Compared with previous studies, recent researchers increasingly focused on the exploration of the comprehensive cognitive process of patients with depress

Externí odkaz: https://doaj.org/article/11a06b5ed4154b4dad4f4e63b2c4118b

Early Event-Related Potential During Figure and Object Perception of Abacus Mental Calculation Training Children: A Randomized Controlled Trial

Autor: Dong Wang, Kongmei Zhu, Jiacheng Cui, Jianglin Wen

Publikováno v: Frontiers in Behavioral Neuroscience, Vol 16 (2022)

The aim of this study was to discuss the effect of abacus mental calculation (AMC) on the early processing of children’s perception on numbers and objects. We designed a randomized controlled trial, and a total of 28 subjects were randomly distribu

Externí odkaz: https://doaj.org/article/73eabc5193f245a0b412e19295f5b439

A transferred multitask regularization convolutional neural network (TrMR-CNN) for laser-induced breakdown spectroscopy quantitative analysis

Autor: Jiacheng Cui, Weiran Song, Zongyu Hou, Weilun Gu, Zhe Wang

Publikováno v: Journal of Analytical Atomic Spectrometry. 37:2059-2068

A quantification method combining transfer learning, a convolutional neural network and multitask regularization to improve prediction accuracy and model robustness on limited data.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::728f12f145f481716a72a4c7c45fad1b
https://doi.org/10.1039/d2ja00182a

Spectral knowledge-based regression for laser-induced breakdown spectroscopy quantitative analysis

Autor: Weiran Song, Muhammad Sher Afgan, Yong-Huan Yun, Hui Wang, Jiacheng Cui, Weilun Gu, Zongyu Hou, Zhe Wang

Publikováno v: Song, W, Afgan, M S, Yun, Y-H, Wang, H, Cui, J, Gu, W, Hou, Z & Wang, Z 2022, ' Spectral knowledge-based regression for laser-induced breakdown spectroscopy quantitative analysis ', Expert Systems with Applications, vol. 205 .
Queen's University Belfast-PURE

Laser-induced breakdown spectroscopy (LIBS) is a promising atomic emission spectroscopic technique for multi-elemental analysis and has the advantages of real-time multi-element measurement, minimal sample preparation and remote detection. However, t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e886c32a637665f369708149c14fe3b
https://doi.org/10.1016/j.eswa.2022.117756

Industrial at-line analysis of coal properties using laser-induced breakdown spectroscopy combined with machine learning

Autor: Zhe Wang, Zhenhua Zhou, Jiacheng Cui, Weiran Song, Hui Wang, Zhigang Li, Weilun Gu, Zongyu Hou, Qing Ye, Gangyao Yan

Publikováno v: Fuel. 306:121667

Coal analysis is of great importance to improve coal combustion/utilization efficiency and operation safety and to reduce pollution. In this work, we develop a LIBS system for at-line coal analysis, which can pre-treat coal blocks into pressed pellet

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::96610ede9c77e2fc1d45976176a714a0
https://doi.org/10.1016/j.fuel.2021.121667