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Urban agriculture as nature-based solutions: Three key strategies to tackle emerging issues on food security

《工程管理前沿（英文）》页码 736-741 doi: 10.1007/s42524-023-0262-4

摘要： Urban agriculture as nature-based solutions: Three key strategies to tackle emerging issues on food security in Chinese cities under climatic and non-climatic challenges

关键词： key strategies tackle Urban agriculture nature challenges

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The nature of cancer

《医学前沿（英文）》 2023年第17卷第4期页码 796-803 doi: 10.1007/s11684-022-0975-5

摘要： The nature of cancer

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Occurrence and distribution of micro- and mesoplastics in the high-latitude nature reserve, northern

《环境科学与工程前沿（英文）》 2022年第16卷第9期 doi: 10.1007/s11783-022-1534-7

摘要：

• The first study on micro(meso)plastics (MMPs) in the Liaohe River Reserve is reported.

关键词： Microplastics Mesoplastics Water Sediment Characteristic Risk Assessment

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China’s Agriculture Green Development: from Concept to Actions

《农业科学与工程前沿（英文）》 doi: 10.15302/J-FASE-2023512

摘要：

● A target-threshold indicator evaluation system is proposed to measure China’s agriculture transformation.

关键词： agricultural transformation Agriculture Green Development historical trend indicator system theoretical conception

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Assessment of novel nature-inspired fuzzy models for predicting long contraction scouring and related

《结构与土木工程前沿（英文）》 2021年第15卷第3期页码 665-681 doi: 10.1007/s11709-021-0713-0

摘要： The scouring phenomenon is one of the major problems experienced in hydraulic engineering. In this study, an adaptive neuro-fuzzy inference system is hybridized with several evolutionary approaches, including the ant colony optimization, genetic algorithm, teaching-learning-based optimization, biogeographical-based optimization, and invasive weed optimization for estimating the long contraction scour depth. The proposed hybrid models are built using non-dimensional information collected from previous studies. The proposed hybrid intelligent models are evaluated using several statistical performance metrics and graphical presentations. Besides, the uncertainty of models, variables, and data are inspected. Based on the achieved modeling results, adaptive neuro-fuzzy inference system–biogeographic based optimization (ANFIS-BBO) provides superior prediction accuracy compared to others, with a maximum correlation coefficient (R_test = 0.923) and minimum root mean square error value (RMSE_test = 0.0193). Thus, the proposed ANFIS-BBO is a capable cost-effective method for predicting long contraction scouring, thus, contributing to the base knowledge of hydraulic structure sustainability.

关键词： long contraction scour prediction uncertainty ANFIS model meta-heuristic algorithm

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工程系统开发复杂性的讨论

赵少奎

《中国工程科学》 2005年第7卷第2期页码 1-8

摘要：

在讨论了现代复杂武器装备系统的发展研究、开发性科研工程和特殊复杂环境工程开发过程复杂性的基础上，进一步提出了研究、处理复杂性问题系统论方法的总体思路。

关键词：工程系统复杂性还原论系统论

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Policy options for Agriculture Green Development by farmers in China

Laurence E. D. SMITH

《农业科学与工程前沿（英文）》 2020年第7卷第1期页码 90-97 doi: 10.15302/J-FASE-2019290

摘要：

Farmers are the key agents who manage land and water. Agriculture Green Development (AGD) requires a transformation in farming from high resource consumption and environmental cost to sustainable intensification with high productivity, high resource use efficiency and low environmental risk. This paper analyzes the public policy challenge of AGD and makes the case for a location-sensitive policy mix made up of regulation, advice provision, voluntarism and targeted incentives. The public agricultural extension service in China is a key resource, but one that requires reorientation and reform with the aim of better balancing high farm productivity with environmental protection.

关键词： agriculture environment development incentives policy regulation

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2023年度农业前沿

农业项目组

《全球工程前沿》 2023年第7卷第1期页码 181-208

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HIGHLIGHTS OF THE SPECIAL ISSUE “CARBON NEUTRALITY AND A LOW CARBON ECONOMY FOR AGRICULTURE”

《农业科学与工程前沿（英文）》 2023年第10卷第2期页码 153-154 doi: 10.15302/J-FASE-2023497

摘要： HIGHLIGHTS OF THE SPECIAL ISSUE “CARBON NEUTRALITY AND A LOW CARBON ECONOMY FOR AGRICULTURE”

关键词： CARBON ISSUE NEUTRALITY HIGHLIGHTS AGRICULTURE

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Incorporation of 3-dimensional lycopodium with hydrophobic nature and interconnected nano-channels into

《化学科学与工程前沿（英文）》 2023年第17卷第9期页码 1162-1182 doi: 10.1007/s11705-022-2276-6

摘要： In the present research, for the first time, lycopodium as a novel nanofiller was incorporated into a polyvinylidene fluoride matrix to fabricate lycopodium/polyvinylidene fluoride flat-sheet membrane for desalination applications by vacuum membrane distillation process. The prepared lycopodium/polyvinylidene fluoride membranes and lycopodium were characterized by field emission scanning electron microscopy, X-ray diffraction, Fourier transform infrared, energy dispersive X-ray, and mapping analyses. Water contact angle and liquid entry pressure measurements were also performed. Response surface methodology was applied to optimize membrane structure and performance. The optimized lycopodium/polyvinylidene fluoride membrane exhibits superior performance compared to the neat polyvinylidene fluoride membrane in terms of flux, salt rejection, water contact angle, and hydrophobicity. In vacuum membrane distillation experiments, using a 15000 ppm NaCl solution as a feed at 70 °C, the neat polyvinylidene fluoride membrane, optimum membrane, and agglomerated membrane (with high lycopodium loading) demonstrated 3.80, 25.20, and 14.83 LMH flux and 63.30%, 99.99%, 99.96% salt rejection, respectively. This improvement in flux and salt rejection of the optimized membrane was related to the presence of lycopodium with hydrophobic nature and interconnected nano-channels in membrane structure. It was found that lycopodium, as the most hydrophobic material, effectively influences the membrane performance and structure for membrane distillation applications.

关键词： lycopodium hydrophobicity vacuum membrane distillation desalination

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Highlights of special issue on ‘Agriculture in Water-Limited Areas’

Pute WU

《农业科学与工程前沿（英文）》 2017年第4卷第2期页码 123-125 doi: 10.15302/J-FASE-2017147

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noble metal nanoparticles toward hydrodechlorination: influence of catalyst electronic structure and nature

Man ZHANG,Feng HE,Dongye ZHAO

《环境科学与工程前沿（英文）》 2015年第9卷第5期页码 888-896 doi: 10.1007/s11783-015-0774-1

摘要： In this study, stabilized Pd, Pt and Au nanoparticles were successfully prepared in aqueous phase using sodium carboxymethyl cellulose (CMC) as a capping agent. These metal nanoparticles were then tested for catalytic hydrodechlorination toward two classes of organochlorinated compounds (vinyl polychlorides including trichloroethylene (TCE), tetrachloroethylene (PCE), and alkyl polychlorides including 1,1,1-trichloroethane (1,1,1-TCA), and 1,1,1,2-tetrachloroethane (1,1,1,2-TeCA)) to determine the rate-limiting steps and to explore the reaction mechanisms. The surface area normalized reaction rate constant, , showed a systematic dependence on the electronic structure (the density of states at the Fermi level) of the metals, suggesting that adsorption of organochlorinated reactants on the metal catalyst surfaces is the rate-limiting step for catalytic hydrodechlorination. Hydrodechlorination rates of 1,1,1-TCA and 1,1,1,2-TeCA agreed with the bond strength of the first (weakest) dissociated C-Cl bond, suggesting that C-Cl bond cleavage, which is the first step for dissociative adsorption of the alkyl polychlorides, controlled the catalytic hydrodechlorination rate. However, hydrodechlorination rates of TCE and PCE correlated with the adsorption energies of their molecular (non-dissociative) adsorption on the noble metals rather than with the first C-Cl bond strength, suggesting that molecular adsorption governs the reaction rate for hydrodechlorination of the vinyl polychlorides.

关键词： catalytic hydrodechlorination electronic structure metal nanoparticles reaction mechanisms

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基于评价方法属性层次的组合评价研究

陈衍泰,陈国宏,李美娟

《中国工程科学》 2005年第7卷第8期页码 56-59

摘要：

针对现存的多种单一综合评价方法机理、属性层次相异引起的对同一个对象评价结论不相容的问题，提出一种新的组合评价方法。定义了“具有相容性”与“特殊属性”的两类综合评价方法；建立了两个组合评价模型，分别将这两个属性层次方法所得的不一致的评价值与排序结论进行组合；在此基础上提出“复组合”的概念。并应用此模型对我国欠发达地区15个城市的综合实力进行评价，使得系统评价更具有科学性和实用性，为欠发达地区开发战略制订宏观经济政策提供实证基础。

关键词：评价方法的属性层次组合模型复组合

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foamed concrete compressive strength prediction using adaptive neuro-fuzzy inference system optimized by nature-inspired

Ahmad SHARAFATI, H. NADERPOUR, Sinan Q. SALIH, E. ONYARI, Zaher Mundher YASEEN

《结构与土木工程前沿（英文）》 2021年第15卷第1期页码 61-79 doi: 10.1007/s11709-020-0684-6

摘要： Concrete compressive strength prediction is an essential process for material design and sustainability. This study investigates several novel hybrid adaptive neuro-fuzzy inference system (ANFIS) evolutionary models, i.e., ANFIS–particle swarm optimization (PSO), ANFIS–ant colony, ANFIS–differential evolution (DE), and ANFIS–genetic algorithm to predict the foamed concrete compressive strength. Several concrete properties, including cement content (C), oven dry density (O), water-to-binder ratio (W), and foamed volume (F) are used as input variables. A relevant data set is obtained from open-access published experimental investigations and used to build predictive models. The performance of the proposed predictive models is evaluated based on the mean performance (MP), which is the mean value of several statistical error indices. To optimize each predictive model and its input variables, univariate (C, O, W, and F), bivariate (C–O, C–W, C–F, O–W, O–F, and W–F), trivariate (C–O–W, C–W–F, O–W–F), and four-variate (C–O–W–F) combinations of input variables are constructed for each model. The results indicate that the best predictions obtained using the univariate, bivariate, trivariate, and four-variate models are ANFIS–DE– (O) (MP= 0.96), ANFIS–PSO– (C-O) (MP= 0.88), ANFIS–DE– (O–W–F) (MP= 0.94), and ANFIS–PSO– (C–O–W–F) (MP= 0.89), respectively. ANFIS–PSO– (C–O) yielded the best accurate prediction of compressive strength with an MP value of 0.96.

关键词： foamed concrete adaptive neuro fuzzy inference system nature-inspired algorithms prediction of compressive strength