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Akademický článek

Modulation of Spheroid Forming Capacity and TRAIL Sensitivity by KLF4 and Nanog in Gastric Cancer Cells

Autor: Han Thi Ngoc To, Qui Anh Le, Hang Thi Thuy Bui, Ji-Hong Park, Dongchul Kang

Publikováno v: Current Issues in Molecular Biology, Vol 45, Iss 1, Pp 233-248 (2022)

The expression of pluripotency factors, and their associations with clinicopathological parameters and drug response have been described in various cancers, including gastric cancer. This study investigated the association of pluripotency factor expr

Externí odkaz: https://doaj.org/article/0529c0000d7d44e49465f2cc8a7df53a

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Akademický článek

Forecasting PM2.5 emissions in open-pit minesusing a functional link neural network optimized by various optimization algorithms

Autor: Huan-Nam Bui, Hoang Nguyen, Qui-Thao Le, Tuan-Ngoc Le

Publikováno v: Горные науки и технологии, Vol 7, Iss 2, Pp 111-125 (2022)

PM2.5 air pollution is not only a significant hazard to human health in everyday life but also a dangerous risk to workers operating in open-pit mines OPMs), especially open-pit coal mines (OPCMs). PM2.5 in OPCMs can cause lung-related (e.g., pneumoc

Externí odkaz: https://doaj.org/article/a6f809dee250491e8c97bba110e88c42

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Akademický článek

Bioanalytical method validation, biopharmaceutical and pharmacokinetic evaluation of GSK-650394, a serum- and glucocorticoid-regulated kinase 1 inhibitor

Autor: Qui-Dong Le, Van-An Duong, Sang-Hun Lee, Thi-Thao-Linh Nguyen, Han-Joo Maeng

Publikováno v: Arabian Journal of Chemistry, Vol 16, Iss 2, Pp 104462- (2023)

GSK-650394 is an inhibitor of serum- and glucocorticoid-regulated kinase 1 that displays potency for treating cancer, hypertension, cardiovascular and neuronal diseases, such as Parkinson’s disease. However, the biopharmaceutical properties and pha

Externí odkaz: https://doaj.org/article/965d386247364352b9a629ffd891dadb

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Akademický článek

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Akademický článek

A Comparative Study of Different Machine Learning Algorithms in Predicting the Content of Ilmenite in Titanium Placer

Autor: Yingli LV, Qui-Thao Le, Hoang-Bac Bui, Xuan-Nam Bui, Hoang Nguyen, Trung Nguyen-Thoi, Jie Dou, Xuan Song

Publikováno v: Applied Sciences, Vol 10, Iss 2, p 635 (2020)

In this study, the ilmenite content in beach placer sand was estimated using seven soft computing techniques, namely random forest (RF), artificial neural network (ANN), k-nearest neighbors (kNN), cubist, support vector machine (SVM), stochastic grad

Externí odkaz: https://doaj.org/article/1da137705bcf4e4fb697a7b0ebaed0b4

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Predicting Blast-Induced Ground Vibration in Open-Pit Mines Using Different Nature-Inspired Optimization Algorithms and Deep Neural Network

Autor: Xuan-Nam Bui, Dinh-An Nguyen, Hoang Nguyen, Le Thi Huong Giang, Le Thi Thu Hoa, Qui-Thao Le, Quang-Hieu Tran

Publikováno v: Natural Resources Research. 30:4695-4717

Blast-induced ground vibration (GV) is a hazardous phenomenon in open-pit mines, and it has unquestionable effects, such as slope instability, deformation of structures, and changing the flow direction of groundwater. Therefore, many studies in recen

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::420c10cc51485e8286a4506dcd20d0bd
https://doi.org/10.1007/s11053-021-09896-4

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Akademický článek

Estimating PM10 Concentration from Drilling Operations in Open-Pit Mines Using an Assembly of SVR and PSO

Autor: Xuan-Nam Bui, Chang Woo Lee, Hoang Nguyen, Hoang-Bac Bui, Nguyen Quoc Long, Qui-Thao Le, Van-Duc Nguyen, Ngoc-Bich Nguyen, Hossein Moayedi

Publikováno v: Applied Sciences, Vol 9, Iss 14, p 2806 (2019)

Dust is one of the components causing heavy environmental pollution in open-pit mines, especially PM10. Some pathologies related to the lung, respiratory system, and occupational diseases have been identified due to the effects of PM10 in open-pit mi

Externí odkaz: https://doaj.org/article/8e5adb100b4c48b5b022e9e214f35825

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Akademický článek

Composition and Morphology Characteristics of Magnetic Fractions of Coal Fly Ash Wastes Processed in High-Temperature Exposure in Thermal Power Plants

Autor: Dinh-Hieu Vu, Hoang-Bac Bui, Bahareh Kalantar, Xuan-Nam Bui, Dinh-An Nguyen, Qui-Thao Le, Ngoc-Hoan Do, Hoang Nguyen

Publikováno v: Applied Sciences, Vol 9, Iss 9, p 1964 (2019)

Coal-fired power stations are one of the primary sources of power generation in the world. This will produce considerable amounts of fly ash from these power stations each year. To highlight the potential environmental hazards of these materials, thi

Externí odkaz: https://doaj.org/article/736e070699bd4441b3a8c46e523228f9

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Prediction of ground vibration intensity in mine blasting using the novel hybrid MARS–PSO–MLP model

Autor: Le Thi Thu Hoa, Qui-Thao Le, Quang-Hieu Tran, Xuan-Nam Bui, Hoang Nguyen, Hoa Anh Nguyen, Dinh-An Nguyen

Publikováno v: Engineering with Computers. 38:4007-4025

The present paper's primary goal is to propose a novel hybrid model with high reliability to predict peak particle velocity (PPV)—a ground vibration evaluation unit in mine blasting. This model is based on the coupling of the multivariate adaptive

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::673c6920a5155bad3a79ccb711d5ed9e
https://doi.org/10.1007/s00366-021-01332-8

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