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| 1 | Activated carbon/Fe 3 O 4 nanoparticle composite: Fabrication, methyl orange removal and regeneration by hydrogen peroxide显示文摘 | Manh Huy Do Ngoc Hoa Phan Thi Dung Nguyen Thi Thu Suong Pham Van Khoa Nguyen Thi Thuy Trang Vu Thi Kim Phuong Nguyen | 2011 | Chemosphere2011，，8： | 2 |
| 2 | A triterpene saponin from Achyranthes bidentata BI显示文摘 | Nikolov S Phan Thi Hoa Asenov I | 1991 | Farmatsiya1991，41，2： | 1 |
| 3 | Insulin secretion is stimulated by ethanol extract of Anemarrhena asphodeloides in isolated islet of healthy wistar and diabetic Goto-kakizaki rats显示文摘 | Hoa NK Phan DV Thuan ND | 2004 | Exp Clin Endocrinal Diabetes2004，1，12： | 1 |
| 4 | Activated carbon/Fe304 nanoparticle composite : Fabrication, methyl orange removal and regeneration by hydrogen peroxide显示文摘 | Manh Huy Do Ngoc Hoa Phan Thi Dung Nguyen | 2001 | Chemosphere2001，85，8： | 1 |
| 5 | Magnetic Fe2MO4 (M:Fe, Mn) activated carbons: Fabrica-tion, characterization and heterogeneous Fenton oxidation ofmethyl orange显示文摘 | Nguyen Thi Dung Phan Ngoc Hoa Do Manh Huy | 2011 | J Hazard Mater2011，185，23： | 1 |
| 6 | Compensation of Zn substitution and secondary phase controls effective mass and weighted mobility in In and Ga co-doped ZnO material显示文摘Conductivity s and thermal conductivity k are directly related to carrier concentration while Seebeck coefficient S is inversely proportional to carrier concentration.Therefore,improving thermoelectric(TE)performance is challenging.Here,the first-time analysis of secondary phase-controlled TE performance in terms of density-of-state effective mass m*d,weighted mobility mw and quality factor B is discussed in ZnO system.The results show that the secondary spinel phase Ga2O_(3)(ZnO)9 not only impacts on k but also on s and S at high temperature,while the effect of carrier concentration seem to be dominant at low temperature.For the high-spinel-segregation sample,a compensation of dopant atoms from the spinel to substitutional sites in the ZnO matrix at high temperature leads to a low decreased rate of temperaturedependent m*d.The compensation process also induces a band sharpening,a small mw reduction,and a large B enhancement.As a result,In and Ga co-doped ZnO bulk with the highest spinel segregation achieves the greatest PF improvement by 112.8%,owing to enhanced Seebeck coefficient by 110%as compared to the good Zn-substitution sample. | Oanh Kieu Truong Le Anh Tuan Thanh Pham Ngoc Kim Pham Trang Huyen Cao Pham Truong Huu Nguyen Dung Van Hoang Hanh Kieu Thi Ta Dai Cao Truong Hoa Thi Lai Thuy Dieu Thi Ung Vinh Cao Tran Thang Bach Phan | 2021 | Journal of Materiomics2021，7，4： | 0 |
| 7 | Novel Time Series Bagging Based Hybrid Models for Predicting Historical Water Levels in the Mekong Delta Region, Vietnam显示文摘Water level predictions in the river,lake and delta play an important role in flood management.Every year Mekong River delta of Vietnam is experiencing flood due to heavy monsoon rains and high tides.Land subsidence may also aggravate flooding problems in this area.Therefore,accurate predictions of water levels in this region are very important to forewarn the people and authorities for taking timely adequate remedial measures to prevent losses of life and property.There are so many methods available to predict the water levels based on historical data but nowadays Machine Learning(ML)methods are considered the best tool for accurate prediction.In this study,we have used surface water level data of 18 water level measurement stations of the Mekong River delta from 2000 to 2018 to build novel time-series Bagging based hybrid ML models namely:Bagging(RF),Bagging(SOM)and Bagging(M5P)to predict historical water levels in the study area.Performances of the Bagging-based hybrid models were compared with Reduced Error Pruning Trees(REPT),which is a benchmark ML model.The data of 19 years period was divided into 70:30 ratio for the modeling.The data of the period 1/2000 to 5/2013(which is about 70%of total data)was used for the training and for the period 5/2013 to 12/2018(which is about 30%of total data)was used for testing(validating)the models.Performance of the models was evaluated using standard statistical measures:Coefficient of Determination(R2),Root Mean Square Error(RMSE)and Mean Absolute Error(MAE).Results show that the performance of all the developed models is good(R2>0.9)for the prediction of water levels in the study area.However,the Bagging-based hybrid models are slightly better than another model such as REPT.Thus,these Bagging-based hybrid time series models can be used for predicting water levels at Mekong data. | Nguyen Thanh Hoan Nguyen Van Dung Ho Le Thu Hoa Thuy Quynh Nadhir Al-Ansari Tran Van Phong Phan Trong Trinh Dam Duc Nguyen Hiep Van Le Hanh Bich Thi Nguyen Mahdis Amiri Indra Prakash Binh Thai Pham | 2022 | Computer Modeling in Engineering & Sciences2022，，6： | 0 |
| 8 | Stable Quadruple Helical Tetraradicaloid with Thermally Induced Intramolecular Magnetic Switching显示文摘We report an air-stable tetraradicaloid based on a rarely explored perylenequinonoid(PQ)core,namely,tetrabenzo-annulated tetracyclopenta[b,e,k,n]perylene(TBCP),which has a quadruple helical structure.As validated by X-ray crystallographic analysis and theoretical calculations,the nonplanar TBCP possesses unique hybrid resonance structures of two open-shell singlet diradicaloids.Remarkably,magnetic measurements reveal that TBCP in powder form shows unusual magnetic hysteresis upon heating followed by cooling,corresponding to interconversion of structure isomers with different magnetic properties.Such electronic properties can be rationalized as the response of structural changes to external thermal stimuli,accompanied by a subtle balance of two types of intramolecular magnetic interactions between four-site spin centers.The results provide a novel organic polyradicaloid as an unprecedented example of a functional material with the potential for intramolecular magnetic switching. | Jing Guo Zhiyu Li Jun Zhang Bo Li Yuan Liang Yanpei Wang Sheng Xie Hoa Phan Tun Seng Herng Jun Ding Jishan Wu Ben Zhong Tang Zebing Zeng | 2022 | CCS Chemistry2022，4，1： | 0 |
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