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A Novel Evolutionary Genetic Optimization-Based Adaptive Neuro-Fuzzy Inference System and Geographical Information Systems Predict and Map Soil Organic Carbon Stocks Across an Afromontane Landscape

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Pedosphere 2017年第5期27卷 877-889页

作者： kennedy o.were dieu tien bui Φystein bjarne dick bal ram singh Department of Mathematical Sciences and Technology Norwegian University of Life SciencesP.O.Box 5003 NO.1432 AsNorway Kenya Agricultural and Livestock Research Organisation Kenya Soil SurveyP.O.Box 14733—00806 NairobiKenya Department of Business Administration and Computer Science Faculty of Arts and SciencesUniversity College of Southeast NorwayNO一3800 BΦi TelemarkNoway Department of Environmental Sciences Norwegian University of Life SciencesP.O.Box 5003NO一1432 AsNorway

Soil organic carbon(SOC) pool has the potential to mitigate or enhance climate change by either acting as a sink, or a source of atmospheric carbon dioxide(CO_2) and also plays a fundamental role in the health and proper functioning of soils to sustain life on Earth. As such, the objective of this study was to investigate the applicability of a novel evolutionary genetic optimization-based adaptive neuro-fuzzy inference system(ANFIS-EG) in predicting and mapping the spatial patterns of SOC stocks in the Eastern Mau Forest Reserve, Kenya. Field measurements and auxiliary data reflecting the soil-forming factors were used to design an ANFIS-EG model, which was then implemented to predict and map the areal differentiation of SOC stocks in the Eastern Mau Forest *** was achieved with a reasonable level of uncertainty(i.e., root mean square error of 15.07 Mg C ha^(-1)), hence demonstrating the applicability of the ANFIS-EG in SOC mapping studies. There is potential for improving the model performance, as indicated by the current ratio of performance to deviation(1.6). The mapping also revealed marginally higher SOC stocks in the forested ecosystems(i.e., an average of 109.78 Mg C ha^(-1)) than in the agro-ecosystems(i.e., an average of 95.9 Mg C ha^(-1)).

关键词：自适应神经模糊推理系统土壤有机碳储量进化遗传算法地理信息系统预测地图森林保护区景观

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Advances in scalable gas-phase manufacturing and processing of nanostructured solids： A review

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Particuology 2017年第1期15卷 15-39页

作者： Samir Salameh Jesus Gomez-Hernandez Aristeidis Goulas Hao Van bui J. Ruud van Ommen Delft University ofTechnology Julianalaan 136 2628 BL Delft The Netherlands Carlos III University of Madrid Avda. de la Universidad 30 28911 Leganes Madrid Spain Delft IMP B.V. Mekelweg 2 2628 CD Delft The Netherlands

Although the gas-phase production of nanostructured solids has already been carried out in industry for decades, only in recentyears has research interest in this topic begun to increase. Nevertheless, despite the remarkable scientific progress made recently, many long-established processes are still used in industry. Scientific advancements can potentially lead to the improvement of existing industrial processes, but also to the development of completely new routes. This paper aims to review state-of-the-art synthesis and processing technologies, as well as the recent developments in academic research. Flame reactors that produce inorganic nanoparticles on industrial- and lab-scales are described, alongside a detailed overview of the different systems used for the production of carbon nanotubes and graphene. We discuss the problems of agglomeration and mixing of nanoparticles, which are strongly related to synthesis and processing. Finally, we focus on two promising processing techniques, namely nanoparticle fluidization and atomic layer deposition.

关键词： Nanoparticle synthesis Gas-phase process Nanoparticle fluidization Atomic layer deposition Agglomeration

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Utilization and Satisfaction with HIV Services at 7 Provinces in Vietnam: A Cross-Sectional Study

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World Journal of AIDS 2022年第2期12卷 65-82页

作者： Le Bao Chau Pham Thi Huyen Chang Duong Minh Duc Hoang Van Minh Luu Quoc Toan bui Thi Tu Quyen Le Thi Vui bui Thi Thu Ha Hanoi University of Public Health Hanoi Vietnam

The study was carried out to determine utilization and satisfaction with essential HIV services from HIV individuals and high-risk populations in 7 socioeconomic provinces nationwide. A cross-sectional approach was applied in the study. Data were collected through face-to-face interviews using self-report questionnaires. Findings from 2380 respondents indicated a high percentage of utilization as well as a high level of satisfaction, in particular among men who have sex with men (MSM) and female sex worker (FSW) sub-group. Needle, syringe, and condom programs had lower usage and satisfaction mean scores in comparison with other services. The proportion of people who used drugs (PWID) and participated in the needle and syringe program was 53.6%. HIV counseling and testing uptake proportion of overall respondents in the last 12 months was 82.2% while the rate of antiretroviral treatment among infected PWID was 74.9%. The level of satisfaction with treatment services was found to be higher than preventive interventions (p < 0.05). Analysis using univariable logistic regression suggested an association between some socioeconomic factors such as income, employment, educational attainment, and marital status with subjects’ satisfaction with several HIV services. Preventive services, especially needle, syringe and condom programs should be prioritized to scale up the coverage and effectiveness. Innovative approaches targeting at PWID should be promoted to increase their access to prevention programs as well as HIV care when needed.

关键词： HIV Service Utilization Satisfaction

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Climate change and groundwater resources in Mekong Delta, Vietnam

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Journal of Groundwater Science and Engineering 2017年第1期5卷 76-90页

作者： Duong D bui Nghia C Nguyen Nuong T bui Anh T T Le Dao T Le National Center for Water Resources Planning and Investigation MONRE Vietnam Tokyo Metropolitan University Japan Center for Environmental Fluid Dynamics Hanoi University of Science Vietnam

Groundwater resources have considerable influences on the human population and socioeconomic development of Vietnam and the Mekong River Delta(MRD). This paper presents an overview of the relationship between climate change and groundwater in the MRD, including the challenges, strategies and technical measures. Our results showed that groundwater levels are related to other climate and hydrological variables(i.e., rainfall, river levels, etc.); therefore, the impacts of climate change on the groundwater resources of the Mekong delta are significant, especially on groundwater recharge. Based on the results of this study, it is recommended that groundwater development in the future should focus on reducing groundwater harvesting, enhancing groundwater quantity by establishing artificial works and exploiting surface water. This study suggests that the Artificial Neural Network(ANN) model is an effective tool for forecasting groundwater levels in periods of 1 month and 3 months for aquifers in the natural and tidal regime areas of the delta.

关键词： Groundwater management Climate change ANN model Mekong River Delta

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Predicting rock size distribution in mine blasting using various novel soft computing models based on meta-heuristics and machine learning algorithms

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Geoscience Frontiers 2021年第3期12卷 458-472页

作者： Chengyu Xie Hoang Nguyen Xuan-Nam bui Yosoon Choi Jian Zhou Thao Nguyen-Trang School of Environment and Resources Xiangtan UniversityXiangtan 411105China Institute of Research and Development Duy Tan UniversityDa Nang 550000Viet Nam Department of Surface Mining Mining FacultyHanoi University of Mining and Geology18 Pho VienDuc Thang wardBac Tu Liem districtHanoi 100000Viet Nam Center for Mining Electro-Mechanical researchHanoi University of Mining and Geology18 Pho VienDuc Thang wardBac Tu Liem districtHanoi 100000Viet Nam Department of Energy Resources Engineering Pukyong National UniversityBusan 48513Republic of Korea School of Resources and Safety Engineering Central South UniversityChangsha 410083HunanChina Division of Computational Mathematics and Engineering Institute for Computational ScienceTon Duc Thang UniversityHo Chi Minh City 700000Viet Nam Faculty of Mathematics and Statistics Ton Duc Thang UniversityHo Chi Minh City 700000Viet Nam

Blasting is well-known as an effective method for fragmenting or moving rock in open-pit *** evaluate the quality of blasting,the size of rock distribution is used as a critical criterion in blasting operations.A high percentage of oversized rocks generated by blasting operations can lead to economic and environmental ***,this study proposed four novel intelligent models to predict the size of rock distribution in mine blasting in order to optimize blasting parameters,as well as the efficiency of blasting operation in open ***,a nature-inspired algorithm(i.e.,firefly algorithm-FFA)and different machine learning algorithms(i.e.,gradient boosting machine(GBM),support vector machine(SVM),Gaussian process(GP),and artificial neural network(ANN))were combined for this aim,abbreviated as FFA-GBM,FFA-SVM,FFA-GP,and FFA-ANN,***,predicted results from the abovementioned models were compared with each other using three statistical indicators(e.g.,mean absolute error,root-mean-squared error,and correlation coefficient)and color intensity *** developing and simulating the size of rock in blasting operations,136 blasting events with their images were collected and analyzed by the Split-Desktop *** which,111 events were randomly selected for the development and optimization of the ***,the remaining 25 blasting events were applied to confirm the accuracy of the proposed ***,blast design parameters were regarded as input variables to predict the size of rock in blasting ***,the obtained results revealed that the FFA is a robust optimization algorithm for estimating rock fragmentation in bench *** the models developed in this study,FFA-GBM provided the highest accuracy in predicting the size of fragmented *** other techniques(i.e.,FFA-SVM,FFA-GP,and FFA-ANN)yielded lower computational stability and ***,the FFA-GBM model can be used as a powerful

关键词： Mine blasting Rock fragmentation Artificial intelligence Hybrid model Gradient boosting machine Meta-heuristic algorithm

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Suzuki Reaction of Aryl Bromides Using a Phosphine-Free Magnetic Nanoparticle-Supported Palladium Catalyst

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催化学报 2011年第11期32卷 1667-1676页

作者： Nghia T. bui Trung B. DANG Ha V. LE Nam T. S. PHAN Department of Chemical Engineering HCMC University of Technology VNU-HCM 268 Ly Thuong Kiet Distriet 10 Ho Chi Minh City Viet Nam

A palladium catalyst immobilized on superparaganetic nanoparticles was prepared with a palladium loading of 0.30 mmol/g. The catalyst was characterized using X-ray diffraction, scanning electron microscopy, transmission electron microscopy, vibrating sample magnetometry, thermogravimetric analysis, Fourier transform infrared, atomic absorption spectrophotometry, and nitrogen adsorption. The immobilized palladium catalyst was an efficient catalyst without added phosphine ligands for the Suzuki cross-coupling reaction of several aryl bromides with phenylboronic acid. The recovery of catalyst was simply by magnetic decantation in the presence of a magnet. The immobilized palladium catalyst can be reused many times without significant degradation in catalytic activity. No leaching of active palladium species into the reaction solution was detected.

关键词： superparamagnetic nanoparticle Suzuki reaction palladium aryl bromide

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平板表面裂纹应力强度因子和应力分布规律的确定

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东南大学学报（自然科学版） 2014年第4期44卷 728-734页

作者： bui Manh Tuan 陈云飞东南大学机械工程学院南京210081 濉和工业学院机械工程学院越南濉和56000

基于有限元法(FEM)和节点位移方法,研究了在中间裂纹与侧裂纹处裂纹尖端的应力强度因子和应力场.使用8节点四边形等参元和1/4节点退化单元,对网格密度和裂纹长度对计算精度的影响进行了研究.改善裂纹尖端周围子区域的节点密度,在保证结... 详细信息

基于有限元法(FEM)和节点位移方法,研究了在中间裂纹与侧裂纹处裂纹尖端的应力强度因子和应力场.使用8节点四边形等参元和1/4节点退化单元,对网格密度和裂纹长度对计算精度的影响进行了研究.改善裂纹尖端周围子区域的节点密度,在保证结果精度的同时,可以节省计算时间.为了计算和分析裂纹尖端的应力强度因子、应力场与位移场,利用Matlab/Simulink编写了关于平板Ⅰ型和Ⅱ型应力强度因子的代码,并比较了有限元方法与精确方法的计算结果.结果表明,所提出的方法有助于提高计算精度与收敛速度,且算法合理,可以提高仿真精度并指导工程设计.

关键词：裂纹应力强度因子节点位移法网格细化

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Seroprotection after hepatitis B vaccination amongst infants aged between 12 and 24 months in Ho Chi Minh City, Vietnam

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Asian Pacific Journal of Tropical Medicine 2020年第7期13卷 295-300页

作者： Giao Huynh Quang Vinh bui Ngoc Lan Nguyen Le An Pham Faculty of Public Health University of Medicine and Pharmacy at Ho Chi Minh CityVietnam Department of Pediatrics University of Medicine and Pharmacy at Ho Chi Minh CityVietnam Department of Microbiology and Parasitology University of Medicine and Pharmacy at Ho Chi Minh CityVietnam Center for training of Family Medicine University of Medicine and Pharmacy at Ho Chi Minh City Vietnam

Objective:To assess levels of HBs Ab amongst infants who received hepatitis B vaccine in the Expanded Program on Immunization in ***:A cross-sectional study was carried out at 16 community health centers from February 2016 to July *** infants were tested for HBs Ab and HBs *** questionnaires were used to collect relevant information about the demographics of the parents/caregivers and their infants after physical ***:A total of 199 eligible infants were selected with a mean age of(17.3±4.5)*** antibody levels with HBs Ab≥10 m IU/m L were detected in 68.3%of *** these,antibody levels from 10 to 99 m IU/m L were 48.5%of those tested and antibody levels≥100 ml U/m L were recorded as 51.5%.No cases were recorded of being infected with hepatitis B *** rate of positive HBs Ab level in those who were not wasting and≥18 months old was less than that among those who were<18 months old(OR 0.49,95%CI:0.26-0.92,P<0.05)while the infants with wasting and<18 months were less likely to be positive HBs Ab than those who were not wasting and of the same age group(OR 0.15,95%CI:0.04-0.55,P<0.05).Conclusions:Seroprotection against hepatitis B virus was low in the infants tested(at 68.3%),which suggests that the hepatitis B vaccine should be administered with one additional dose for infants between 12 and 24 months of age,particularly those with wasting.

关键词： Hepatitis B virus Hepatitis B Vaccine Vaccination Expanded Program on Immunization

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基于离心模型试验的高强度桩复合地基桩帽效应分析

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岩土工程学报 2008年第8期30卷 1158-1164页

作者： bui Phu Doanh 罗强张良西南交通大学土木工程学院四川成都610031

桩帽的设置及其覆盖率的变化对高强度桩复合地基的工程特性影响巨大,对桩帽尺寸的合理设计是实现高强度桩–桩间土–加筋垫层协调承载和变形控制的技术关键。结合某铁路新建双线段(v≥200 km/h)现场软基处理工点的具体情况,进行了4组设... 详细信息

桩帽的设置及其覆盖率的变化对高强度桩复合地基的工程特性影响巨大,对桩帽尺寸的合理设计是实现高强度桩–桩间土–加筋垫层协调承载和变形控制的技术关键。结合某铁路新建双线段(v≥200 km/h)现场软基处理工点的具体情况,进行了4组设置桩帽的高强度桩复合地基离心模型试验,测试了地基变形、桩身应变、桩帽顶面及桩间土压力、垫层拉筋受力等数据。试验数据表明:①在桩顶设置桩帽能有效发挥高强度桩的承载能力,调整桩和桩间土的荷载分配,提高地基的稳定性;②在桩间距不变的条件下,地基变形、垫层拉筋受力、桩帽顶面及桩间土压力等随桩帽覆盖率的提高而减小,桩土应力比则增加;③垫层拉筋受力沿路基横截面基本呈M型对称分布,峰值出现在左右路肩附近位置,与地基的剪切破坏位置有较好的一致性。

关键词：离心模型试验软土地基路堤高强度桩复合地基桩帽效应

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城市和郊区麻栎林土壤有机碳组分及管理指数变化特征

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江苏农业学报 2022年第2期38卷 369-376页

作者：许慧 bui Van Thang 范洪旺许克福陶晓徐小牛安徽农业大学林学与园林学院安徽合肥230036

为了解城郊差异背景下森林土壤有机碳及其组分、碳库管理指数差异,揭示城郊差异对森林土壤活性有机碳含量及其稳定性的影响机制,于2017年7月至2018年3月对安徽省合肥市城市蜀山国家森林公园与郊区紫蓬山国家森林公园麻栎(Quercus acutis... 详细信息

为了解城郊差异背景下森林土壤有机碳及其组分、碳库管理指数差异,揭示城郊差异对森林土壤活性有机碳含量及其稳定性的影响机制,于2017年7月至2018年3月对安徽省合肥市城市蜀山国家森林公园与郊区紫蓬山国家森林公园麻栎(Quercus acutissima)林土壤进行分季节采样,系统比较城市和郊区森林土壤总有机碳(SOC)含量及活性有机碳组分[易氧化碳(EOC)、颗粒有机碳(POC)]含量、全氮(TN)含量季节动态特征及碳库管理指数变化特征。结果显示,城区森林土壤SOC、TN、EOC、POC含量明显高于郊区森林土壤,且0~10 cm土层含量显著大于0~20 cm土层(P<0.05),在0~10 cm土层,城市森林土壤SOC、TN含量分别是郊区的1.67、1.45倍,10~20 cm土层城市森林土壤SOC、TN含量分别是郊区的1.95、1.68倍。EOC占SOC的比例表现为郊区大于城市,POC占SOC的比例表现为城市大于郊区;蜀山森林土壤EOC、POC含量有显著的季节变化(P<0.05),表现为夏季高,春秋低;土层深度及季节的交互作用对EOC、POC含量无显著影响;土壤TN、SOC和EOC、POC含量两两之间呈极显著(P<0.001)相关;与城市森林相比,郊区土壤碳氮比(C/N)较低;城市森林土壤碳库活度(A)低于郊区,土壤碳库指数(CPI)高于郊区。在本研究区域,城市森林土壤储存了较多的碳,碳库相对稳定,具有较强的固碳潜力。

关键词：城市化麻栎林土壤有机碳颗粒有机碳易氧化碳碳库管理指数

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