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Thermo-fluidic devices and materials inspired from mass and energy transport phenomena in biological

Jian XIAO , Jing LIU ,

Frontiers in Energy 2009, Volume 3, Issue 1,   Pages 47-59 doi: 10.1007/s11708-008-0068-4

Abstract: Mass and energy transport consists of one of the most significant physiological processes in nature,which guarantees many amazing biological phenomena and activities.Potential approaches for innovating conventional technologies were discussed, corresponding biological phenomena

Keywords： bionics     mass transport     energy transport     artificial devices and materials     biology system     nature phenomena    

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The nature of cancer

Frontiers of Medicine 2023, Volume 17, Issue 4,   Pages 796-803 doi: 10.1007/s11684-022-0975-5

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

Frontiers of Engineering Management   Pages 736-741 doi: 10.1007/s42524-023-0262-4

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

Keywords： key strategies tackle     Urban agriculture nature     challenges    

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Influence of fluid-structure interaction on vortex induced vibration and lock-in phenomena in long span

Nazim Abdul NARIMAN

Frontiers of Structural and Civil Engineering 2016, Volume 10, Issue 4,   Pages 363-384 doi: 10.1007/s11709-016-0353-y

Abstract: two-way approach predicts earlier vortex induced vibration for lower critical wind velocities and lock-in phenomena

Keywords： vortex-induced vibration     fluid-structure interaction     Strouhal number     lock-in     kinetic energy    

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

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 9, doi: 10.1007/s11783-022-1534-7

Abstract:

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

Keywords： Microplastics     Mesoplastics     Water     Sediment     Characteristic     Risk Assessment    

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Soundscape of classical Chinese garden

YUAN Xiaomei, WU Shuoxian

Frontiers of Structural and Civil Engineering 2008, Volume 2, Issue 2,   Pages 172-178 doi: 10.1007/s11709-008-0026-6

Abstract: Chinese garden uses human intuitive sensation and personal poetic observation to express natural sound phenomena

Keywords： observation     classical     phenomena     intuitive     soundscape    

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

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 3,   Pages 665-681 doi: 10.1007/s11709-021-0713-0

Abstract: 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 (Rtest = 0.923) and minimum root mean square error value (RMSEtest = 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.

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

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Discussion on the Complex Nature of Modem Engineering Systems Development

Zhao Shaokui

Strategic Study of CAE 2005, Volume 7, Issue 2,   Pages 1-8

Abstract:

The paper discussed the complex nature of development research on modern complex weaponry systems,thinking to use method of systematicism (systematics) to research and deal with problems of complex nature

Keywords： engineering system     complex nature     reductionism     systematicism (systematics)    

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

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 9,   Pages 1162-1182 doi: 10.1007/s11705-022-2276-6

Abstract: salt rejection of the optimized membrane was related to the presence of lycopodium with hydrophobic nature

Keywords： lycopodium     hydrophobicity     vacuum membrane distillation     desalination    

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

Man ZHANG,Feng HE,Dongye ZHAO

Frontiers of Environmental Science & Engineering 2015, Volume 9, Issue 5,   Pages 888-896 doi: 10.1007/s11783-015-0774-1

Abstract: 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.

Keywords： catalytic hydrodechlorination     electronic structure     metal nanoparticles     reaction mechanisms    

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Studies on Combination Evaluation Methods Based on Nature Differenc

Chen Yantai,Chen Guohong,Li Meijuan

Strategic Study of CAE 2005, Volume 7, Issue 8,   Pages 56-59

Abstract:

This paper firstly defines a group of system evaluation methods of attributes difference. Secondly, it puts forward one new combination evaluation method , in order to solve the problem of inconsistencies in the conclusions, which is caused by adopting many different single methods to evaluate the same objective. This method is used to evaluate the comprehensive competitive power of 15 cities in western China .to make the system evaluation more scientific and useful.

Keywords： evaluation methods with different nature     combination evaluation     re-combination    

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Phenomena identification and ranking table exercise for thorium based molten salt reactor-solid fuel

Xiaojing LIU, Qi WANG, Zhaozhong HE, Kun CHEN, Xu CHENG

Frontiers in Energy 2019, Volume 13, Issue 4,   Pages 707-714 doi: 10.1007/s11708-019-0616-0

Abstract: applications for TMSR-SF in the future, it is necessary to fully understand the significant features and phenomenaIn this paper, the safety-relevant phenomena, importance, and knowledge base were assessed for the selectedThe phenomena having significant impact but with limited knowledge of their history are core coolant

Keywords： phenomena identification and ranking table (PIRT)     thorium based molten salt reactor-solid fuel (TMSR-SF    

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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

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 1,   Pages 61-79 doi: 10.1007/s11709-020-0684-6

Abstract: 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.

Keywords： foamed concrete     adaptive neuro fuzzy inference system     nature-inspired algorithms     prediction of compressive    

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Exploring the Basic Structure of Nature

Ding Zhaozhong

Strategic Study of CAE 2000, Volume 2, Issue 10,   Pages 7-9

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MECHANISMS IN DIVERSIFYING AGRICULTURAL SYSTEMS FOR SUSTAINABILITY: EXPERIENCE FROM STUDIES DEPLOYING NATURE-BASED

Frontiers of Agricultural Science and Engineering 2022, Volume 9, Issue 2,   Pages 214-237 doi: 10.15302/J-FASE-2021437

Abstract: Soil and plant management interventions, including nature-based solutions, can also enhance soil quality

Keywords： diversification / ecological principles / legumes / plant management / soil management / soil ecosystem services    

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Title Author Date Type Operation

Thermo-fluidic devices and materials inspired from mass and energy transport phenomena in biological

Jian XIAO , Jing LIU ,

Journal Article

The nature of cancer

Journal Article

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

Journal Article

Influence of fluid-structure interaction on vortex induced vibration and lock-in phenomena in long span

Nazim Abdul NARIMAN

Journal Article

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

Journal Article

Soundscape of classical Chinese garden

YUAN Xiaomei, WU Shuoxian

Journal Article

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

Journal Article

Discussion on the Complex Nature of Modem Engineering Systems Development

Zhao Shaokui

Journal Article

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

Journal Article

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

Man ZHANG,Feng HE,Dongye ZHAO

Journal Article

Studies on Combination Evaluation Methods Based on Nature Differenc

Chen Yantai,Chen Guohong,Li Meijuan

Journal Article

Phenomena identification and ranking table exercise for thorium based molten salt reactor-solid fuel

Xiaojing LIU, Qi WANG, Zhaozhong HE, Kun CHEN, Xu CHENG

Journal Article

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

Journal Article

Exploring the Basic Structure of Nature

Ding Zhaozhong

Journal Article

MECHANISMS IN DIVERSIFYING AGRICULTURAL SYSTEMS FOR SUSTAINABILITY: EXPERIENCE FROM STUDIES DEPLOYING NATURE-BASED

Journal Article