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Instrumented toys for assessing spatial cognition in infants

Domenico CAMPOLO, Fabrizio TAFFONI, Domenico FORMICA, Flavio KELLER, Eugenio GUGLIELMELLI

Frontiers of Mechanical Engineering 2011, Volume 6, Issue 1,   Pages 82-88 doi: 10.1007/s11465-011-0208-0

Abstract: maturation of sensory, motor and cognitive abilities in young children, in relation to the achievement of developmental

Keywords: inertial-magnetic sensing     in-field calibration     neuro-developmental engineering     ecological assessment    

Study on the Developmental Strategies for the Engineering of Aqua Nutrition and Feed

Xie Shouqi,Zhang Wenbing,Han Dong and Mai Kangsen

Strategic Study of CAE 2016, Volume 18, Issue 3,   Pages 29-36 doi: 10.15302/J-SSCAE-2016.03.005

Abstract:

This paper reviews the research in nutrition and feed development in aquaculture animals in recent years, and analyzes the problem and future development of feed industry. In past 10 years, great advances have been achieved in aquaculture animal nutrient requirements, feeding, larval feed, broodstock nutrition, additives etc. But there are still some problems regarding aquafeed including high feed conversion ratio, high environmental discharge, high feed cost and unstable profit. In the near future, the research and development of aquaculture nutrition and feed should focus on "high efficiency, safety, economic and environmental neutral". New concepts from ecology and genomics technologies should be applied in the study on molecular mechanism of nutrition and metabolism, nutrient requirements and accurate feed and feeding, feed quality control and processing, animal quality regulation, etc. The government should provide more opportunities for cooperation between scientists from different areas and long term support.

Keywords: aquaculture     aqua nutrition     feed     developmental strategy    

Bridging the gap: Neuro-Symbolic Computing for advanced AI applications in construction

Frontiers of Engineering Management   Pages 727-735 doi: 10.1007/s42524-023-0266-0

Abstract: The integration of Neuro-Symbolic Computing (NSC), an emerging field that combines DL and symbolic reasoning

Keywords: advanced AI in construction     safety and quality inspection     Neuro-Symbolic Computing     Deep Learning    

Current techniques for assessing developmental neurotoxicity of pesticides

GAO Yu, TIAN Ying, SHEN Xiaoming

Frontiers of Medicine 2008, Volume 2, Issue 4,   Pages 337-343 doi: 10.1007/s11684-008-0064-4

Abstract: There is a need for better understanding of the potential developmental neurotoxicity of pesticides.Techniques for assessing developmental neurotoxicity of pesticides will continue to be developed, renderingCurrent techniques used in evaluating the developmental neurotoxicity of OPs and PRY are presented in

Keywords: paradigms     Pyrethroids     non-mammalian     susceptible     morphological    

Prediction of falling weight deflectometer parameters using hybrid model of genetic algorithm and adaptive neuro-fuzzy

Frontiers of Structural and Civil Engineering   Pages 812-826 doi: 10.1007/s11709-023-0940-7

Abstract: A falling weight deflectometer is a testing device used in civil engineering to measure and evaluatedeveloped a novel hybrid artificial intelligence model, i.e., a genetic algorithm (GA)-optimized adaptive neuro-fuzzy

Keywords: falling weight deflectometer     modulus of subgrade reaction     elastic modulus     metaheuristic algorithms    

HIGH QUALITY DEVELOPMENTAL APPROACH FOR SOIL AND WATER CONSERVATION AND ECOLOGICAL PROTECTION ON THE

Frontiers of Agricultural Science and Engineering 2021, Volume 8, Issue 4,   Pages 501-511 doi: 10.15302/J-FASE-2021425

Abstract:

The Loess Plateau is the core area in the Yellow River basin for implementing environmental protection and high-quality development strategies. A series of ecological projects has implemented aimed at soil and water conservation and ecological management on the Loess Plateau over the past 70 years. The effects of the ecological projects are apparent mainly through a marked increase in vegetation cover, controlled soil erosion and reduced flow of sediment into the Yellow River, continual optimization of the industrial structure and increased production from arable land, poverty alleviation and greater prosperity, and optimal allocation of space for biological organisms. Major problems have also been analyzed in ecological management including the fragile ecosystem of the region, maintaining the stability of vegetation, lower agricultural productivity and continued risk from natural disasters. Some suitable schemes and models have been developed for the coordinated development of the region through research and demonstration, striking the optimum balance between rural industry and ecology, and increased regional capacity to supply high-quality ecological products. Countermeasures to address the problems are suggested to guide ecological management and high-quality development in the future.

 

Keywords: ecological management     high quality development     industrial structure     soil erosion     soil and water conservation     Loess Plateau    

Application of adaptive neuro-fuzzy inference system and cuckoo optimization algorithm for analyzing

Reza TEIMOURI, Hamed SOHRABPOOR

Frontiers of Mechanical Engineering 2013, Volume 8, Issue 4,   Pages 429-442 doi: 10.1007/s11465-013-0277-3

Abstract: applied voltage and feed rate on material removal rate (MRR) and surface roughness (SR) the adaptive neuro-fuzzy

Keywords: electrochemical machining process (ECM)     modeling     adaptive neuro-fuzzy inference system (ANFIS)     optimization    

Simulation of foamed concrete compressive strength prediction using adaptive neuro-fuzzy inference system

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: This study investigates several novel hybrid adaptive neuro-fuzzy inference system (ANFIS) evolutionary

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

Predication of discharge coefficient of cylindrical weir-gate using adaptive neuro fuzzy inference systems

Abbas PARSAIE,Amir Hamzeh HAGHIABI,Mojtaba SANEIE,Hasan TORABI

Frontiers of Structural and Civil Engineering 2017, Volume 11, Issue 1,   Pages 111-122 doi: 10.1007/s11709-016-0354-x

Abstract: In this research, discharge coefficient of weir-gate was predicated using adaptive neuro fuzzy inference

Keywords: weir-gate     soft computing     crest geometry     circular crest weir     cylindrical shape    

Bisphenol-A epoxy resin reinforced and toughened by hyperbranched epoxy resin

ZHANG Daohong, JIA Demin, HUANG Xianbo

Frontiers of Chemical Science and Engineering 2007, Volume 1, Issue 4,   Pages 349-354 doi: 10.1007/s11705-007-0063-z

Abstract: The study on toughening and reinforcing of bisphenol-A epoxy resin is one of important developmental

Keywords: thermogravimetric analysis     developmental direction     flexural strength     HTDE-2/E51     technology    

Effect of repeated gonadotropin stimulation on ovarian reserves and proliferation of ovarian surface epithelium in mice

Linlin LIANG, Bei XU, Guijin ZHU

Frontiers of Medicine 2009, Volume 3, Issue 2,   Pages 220-226 doi: 10.1007/s11684-009-0037-2

Abstract: on the ovarian follicular population and morphology in female mice and its influence on the embryo’s developmental

Keywords: gonadotropin-releasing hormone     ovarian reserve     embryo developmental ability     ovarian surface epithelium    

Enhancement of grid-connected photovoltaic system using ANFIS-GA under different circumstances

Saeed VAFAEI,Alireza REZVANI,Majid GANDOMKAR,Maziar IZADBAKHSH

Frontiers in Energy 2015, Volume 9, Issue 3,   Pages 322-334 doi: 10.1007/s11708-015-0362-x

Abstract: The aim of this paper is to simulate and control a grid-connected PV source by using an adaptive neuro-fuzzy

Keywords: photovoltaic system     maximum power point (MPP)     adaptive neuro-fuzzy inference system (ANFIS)     genetic algorithm    

Developmental expression of CAPON and Dexras1 in spinal cord of rats

LI Xin, CHENG Chun, CHEN Mengling, GAO Shangfeng, ZHAO Jian, NIU Shuqiong, SHEN Aiguo

Frontiers of Medicine 2008, Volume 2, Issue 1,   Pages 75-81 doi: 10.1007/s11684-008-0014-1

Abstract: real-time polymerase chain reaction (Real-time PCR), as a quantitative method, was used to study the developmental

Keywords: CAPON     ISH     differentiation     postnatal     different subcellular    

Development Strategy for China's Energy Conservation and Environmental Protection Industry

Feng Huijuan, Luo Hong, Pei Yingying, Xue Jie, Yang ZhanHong, Lv Lianhong

Strategic Study of CAE 2016, Volume 18, Issue 4,   Pages 1-8 doi: 10.15302/J-SSCAE-2016.04.001

Abstract:

Developing the energy conservation and environmental protection industry—a new economic growth engine—is an important guarantee for the promotion of ecological civilization construction and the realization of green development in China. This paper proceeds from the development status of this industry to analyze the deep-seated problems affecting China’s energy conservation and environmental protection industry development, study and determine the new industrial development trends in the 13th Five-Year Plan period, and define the development objectives and key projects of this industry, thereby offering strategic suggestions for promoting the energy conservation and environmental protection industry development in China. 

Keywords: energy saving     environmental protection     industry     developmental strategy    

Prediction of cost and emission from Indian coal-fired power plants with CO

Naushita SHARMA, Udayan SINGH, Siba Sankar MAHAPATRA

Frontiers in Energy 2019, Volume 13, Issue 1,   Pages 149-162 doi: 10.1007/s11708-017-0482-6

Abstract: Coal-fired power plants are one of the most important targets with respect to reduction of CO emissions. The reasons for this are that coal-fired power plants offer localized large point sources (LPS) of CO and that the Indian power sector contributes to roughly half of all-India CO emissions. CO capture and storage (CCS) can be implemented in these power plants for long-term decarbonisation of the Indian economy. In this paper, two artificial intelligence (AI) techniques—adaptive network based fuzzy inference system (ANFIS) and multi gene genetic programming (MGGP) are used to model Indian coal-fired power plants with CO capture. The data set of 75 power plants take the plant size, the capture type, the load and the CO emission as the input and the COE and annual CO emissions as the output. It is found that MGGP is more suited to these applications with an value of more than 99% between the predicted and actual values, as against the ~96% correlation for the ANFIS approach. MGGP also gives the traditionally expected results in sensitivity analysis, which ANFIS fails to give. Several other parameters in the base plant and CO capture unit may be included in similar studies to give a more accurate result. This is because MGGP gives a better perspective toward qualitative data, such as capture type, as compared to ANFIS.

Keywords: carbon capture and storage     power plants     artificial intelligence     genetic programming     neuro fuzzy    

Title Author Date Type Operation

Instrumented toys for assessing spatial cognition in infants

Domenico CAMPOLO, Fabrizio TAFFONI, Domenico FORMICA, Flavio KELLER, Eugenio GUGLIELMELLI

Journal Article

Study on the Developmental Strategies for the Engineering of Aqua Nutrition and Feed

Xie Shouqi,Zhang Wenbing,Han Dong and Mai Kangsen

Journal Article

Bridging the gap: Neuro-Symbolic Computing for advanced AI applications in construction

Journal Article

Current techniques for assessing developmental neurotoxicity of pesticides

GAO Yu, TIAN Ying, SHEN Xiaoming

Journal Article

Prediction of falling weight deflectometer parameters using hybrid model of genetic algorithm and adaptive neuro-fuzzy

Journal Article

HIGH QUALITY DEVELOPMENTAL APPROACH FOR SOIL AND WATER CONSERVATION AND ECOLOGICAL PROTECTION ON THE

Journal Article

Application of adaptive neuro-fuzzy inference system and cuckoo optimization algorithm for analyzing

Reza TEIMOURI, Hamed SOHRABPOOR

Journal Article

Simulation of foamed concrete compressive strength prediction using adaptive neuro-fuzzy inference system

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

Journal Article

Predication of discharge coefficient of cylindrical weir-gate using adaptive neuro fuzzy inference systems

Abbas PARSAIE,Amir Hamzeh HAGHIABI,Mojtaba SANEIE,Hasan TORABI

Journal Article

Bisphenol-A epoxy resin reinforced and toughened by hyperbranched epoxy resin

ZHANG Daohong, JIA Demin, HUANG Xianbo

Journal Article

Effect of repeated gonadotropin stimulation on ovarian reserves and proliferation of ovarian surface epithelium in mice

Linlin LIANG, Bei XU, Guijin ZHU

Journal Article

Enhancement of grid-connected photovoltaic system using ANFIS-GA under different circumstances

Saeed VAFAEI,Alireza REZVANI,Majid GANDOMKAR,Maziar IZADBAKHSH

Journal Article

Developmental expression of CAPON and Dexras1 in spinal cord of rats

LI Xin, CHENG Chun, CHEN Mengling, GAO Shangfeng, ZHAO Jian, NIU Shuqiong, SHEN Aiguo

Journal Article

Development Strategy for China's Energy Conservation and Environmental Protection Industry

Feng Huijuan, Luo Hong, Pei Yingying, Xue Jie, Yang ZhanHong, Lv Lianhong

Journal Article

Prediction of cost and emission from Indian coal-fired power plants with CO

Naushita SHARMA, Udayan SINGH, Siba Sankar MAHAPATRA

Journal Article