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期刊论文 2

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2022 1

2020 1

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副猪嗜血杆菌，抗药性，耐药基因，越南 1

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Novel hybrid models of ANFIS and metaheuristic optimizations (SCE and ABC) for prediction of compressive strength of concrete using rebound hammer field test

Dung Quang VU; Fazal E. JALAL; Mudassir IQBAL; Dam Duc NGUYEN; Duong Kien TRONG; Indra PRAKASH; Binh Thai PHAM

《结构与土木工程前沿（英文）》 2022年 第16卷 第8期   页码 1003-1016 doi: 10.1007/s11709-022-0846-9

摘要： In this study, we developed novel hybrid models namely Adaptive Neuro Fuzzy Inference System (ANFIS) optimized by Shuffled Complex Evolution (SCE) on the one hand and ANFIS with Artificial Bee Colony (ABC) on the other hand. These were used to predict compressive strength (Cs) of concrete relating to thirteen concrete-strength affecting parameters which are easy to determine in the laboratory. Field and laboratory tests data of 108 structural elements of 18 concrete bridges of the Ha Long-Van Don Expressway, Vietnam were considered. The dataset was randomly divided into a 70:30 ratio, for training (70%) and testing (30%) of the hybrid models. Performance of the developed fuzzy metaheuristic models was evaluated using standard statistical metrics: Correlation Coefficient (R), Root Mean Square Error (RMSE) and Mean Absolute Error (MAE). The results showed that both of the novel models depict close agreement between experimental and predicted results. However, the ANFIS-ABC model reflected better convergence of the results and better performance compared to that of ANFIS-SCE in the prediction of the concrete Cs. Thus, the ANFIS-ABC model can be used for the quick and accurate estimation of compressive strength of concrete based on easily determined parameters for the design of civil engineering structures including bridges.

关键词： shuffled complex evolution     artificial bee colony     ANFIS     concrete     compressive strength     Vietnam    

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越南广平和顺化两省猪场分离副猪嗜血杆菌的抗生素耐药表型和耐药基因之间的相关性研究 Article

Chao Nguyen Van, 张丽君, Tam Vu Thi Thanh, Hung Pham Hoang Son, Tuan Tran Ngoc, 黄琦, 周锐

《工程（英文）》 2020年 第6卷 第1期   页码 40-48 doi: 10.1016/j.eng.2019.10.014

摘要：

副猪嗜血杆菌是一种对全球养猪业造成重大经济损失的病原菌。副猪嗜血杆菌防控失败的原因之一是细菌耐药性不断加重。越南拥有亚洲排名第二的生猪产量，但是缺乏针对副猪嗜血杆菌耐药性的相关研究和数据。本研究的目的是调查越南副猪嗜血杆菌的耐药性，并分析耐药性和耐药性基因之间的关系。本研究所使用的副猪嗜血杆菌分离菌株来自我们之前研究中从越南广平省和顺化省猪场分离到的菌株。本研究分别利用肉汤微稀释法和聚合酶链反应（PCR）法检测了这些菌株对25种抗生素的耐药性及相关耐药基因的存在情况。结果显示，这些分离株对甲氧苄啶/磺胺甲恶唑的耐药率达高到94.6%，其次是黏菌素、氯霉素、庆大霉素、青霉素、林可霉素和阿莫西林。这些菌株中相关联耐药基因的检出率分别为blaTEM-1 94.6%、int 76.8%、gyrA 58.9%以及rmtD 50.0%。头孢呋辛、氯霉素和妥布霉素的耐药性表型分别与耐药基因blaROB-1 [优势比（OR） = 26.3, 95% 置信区间（CI）2.7~255.7, p = 0.002]、catl (OR = 25.1, 95% CI 2.4~258.9, p = 0.004)以及strB (OR = 23.5, 95% CI 2.6~212.6, p = 0.001)呈显著正相关。本研究首次揭示了越南中部地区副猪嗜血杆菌的耐药性情况，有助于该疾病的临床控制，能够为降低越南中部的养猪业中该菌的耐药性以及为相关政策制定和临床用药提供指导。

关键词： 副猪嗜血杆菌，抗药性，耐药基因，越南    

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标题 作者 时间 类型 操作

Novel hybrid models of ANFIS and metaheuristic optimizations (SCE and ABC) for prediction of compressive strength of concrete using rebound hammer field test

Dung Quang VU; Fazal E. JALAL; Mudassir IQBAL; Dam Duc NGUYEN; Duong Kien TRONG; Indra PRAKASH; Binh Thai PHAM

期刊论文

越南广平和顺化两省猪场分离副猪嗜血杆菌的抗生素耐药表型和耐药基因之间的相关性研究

Chao Nguyen Van, 张丽君, Tam Vu Thi Thanh, Hung Pham Hoang Son, Tuan Tran Ngoc, 黄琦, 周锐

期刊论文