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Effectiveness of state incentives for promoting wind energy: A panel data examination

Deepak SANGROYA,Jogendra NAYAK

《能源前沿（英文）》 2015年 第9卷 第3期   页码 247-258 doi: 10.1007/s11708-015-0364-8

摘要： Over the last decade, India has started to concentrate earnestly on renewable energy. The Indian government, as well as different state governments, are adopting policy instruments such as feed in tariff, captive consumption, renewable purchase obligation and generation based incentive etc. aimed at renewable energy development. This paper evaluates the effectiveness of state level incentives for the development of wind energy in India. Fixed effect panel data modelling technique of econometric analysis is used to analyse the data of 26 Indian states in 11 years. The results show that feed in tariff and captive consumption are the significant predictors of wind energy development. However, renewable purchase obligation does not affect wind energy significantly.

关键词： India     wind energy development     state incentives     econometric analysis     panel data    

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The impact of government incentives and penalties on willingness to recycle plastic waste: An evolutionary

Zhen Wang, Jiazhen Huo, Yongrui Duan

《环境科学与工程前沿（英文）》 2020年 第14卷 第2期 doi: 10.1007/s11783-019-1208-2

摘要： • Punishments increase the participation probability of collectors and recyclers. • Policy-sponsored incentives make collectors and recyclers to participate earlier. • Recyclers are more sensitive to government punishments than collectors. Because governments have introduced policies involving incentives and penalties to promote the recycling of plastic waste, it is important to understand the impact of such incentives and penalties on the willingness of stakeholders to participate. In this study, government is included as a player, alongside waste collectors and recyclers, in a tripartite evolutionary game model of plastic waste recycling. The study explores the evolutionary equilibrium and performs a simulation analysis to elucidate the effect of government incentives and penalties on the willingness of other players to participate in recycling. Three conclusions are drawn from this research. First, an increase in incentives or in penalties increases the probability that collectors and recyclers will participate in the recycling process. Second, policy support incentives encourage collectors and recyclers to participate in plastic waste recycling earlier than subsidy incentives do. Finally, recyclers are more sensitive than collectors to government-imposed penalties.

关键词： Plastic waste     Recycle     Reuse     Government incentives     Government penalties     Evolutionary game    

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Supplier development and its incentives in infrastructure mega-projects: A case study on Hong Kong-Zhuhai-Macao

Wei ZENG, Jinwen ZHANG, Hongwei WANG, Hongtao ZHOU

《工程管理前沿（英文）》 2018年 第5卷 第1期   页码 88-97 doi: 10.15302/J-FEM-2018077

摘要： In this paper the Hong Kong-Zhuhai-Macao Bridge project is taken as a case to analyze supplier development in infrastructure mega-projects. Compared with manufacturing industry, the characteristics of supplier development in infrastructure mega-projects is analyzed in term of development motives, supplier selection, quality management, production mode, owner participation and risks. The critical factors influencing the construction supplier development are identified, which include incentives, collaboration, future market, trust and bilateral communication. Furthermore, focusing on the incentives for the supplier’s product quality and production capacity improvement, decision-making framework models are proposed to design the incentive mechanisms.

关键词： infrastructure mega-project     supplier development     critical success factors     incentives     case study    

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Internal incentives and operations strategies for the water-saving supply chain with cap-and-trade regulation

Zhisong CHEN, Li FANG, Huimin WANG

《工程管理前沿（英文）》 2019年 第6卷 第1期   页码 87-101 doi: 10.1007/s42524-019-0006-7

摘要：

Faced with the rapid development of modern industries of agriculture, manufacturing, and services, water resources are becoming increasingly scarce. Industries with high water consumption are generally regulated by the government’s water cap-and-trade (CAT) regulation to solve the contradiction between the limited water supply and the rapid growing water demand. Supply chain equilibrium and coordination models under the benchmark scenario without water saving and CAT regulation, water-saving supply chain equilibrium and coordination models under the scenario without/with CAT regulation are developed, analyzed and compared. The corresponding numerical and sensitivity analyses for all models are conducted and compared, and the managerial insights and policy recommendations are summarized in this article. The results indicate that (1) Conducting water saving could improve effectively the operational performance of the water-saving supply chain under the scenario without/with CAT regulation. (2) The coordination strategy based on the revenue sharing contract could efficiently coordinate the water-saving supply chain, enhance water consumption reduction rate, and improve the operational performance of the water-saving supply chain. (3) The implementation of CAT regulation enhances effectively water-consumption-reduction in the water-saving supply chain and improves the operational performance of water-saving supply chain. (4) Simultaneous implementation of CAT regulation by the government and adopting coordination strategy by the water-saving supply chain would be superior to any other scenarios/strategies. (5) A suitable water cap based on the industrial average water consumption and historical water consumption data are beneficial for constructing reasonable and effective incentive mechanism. (6) A higher marginal trade price could induce more reduction in water consumption and create better operational performance for the manufacturer and water-saving supply chain, both under the equilibrium and coordination strategies.

关键词： water-saving supply chain     equilibrium     coordination     internal incentive     cap and trade regulation    

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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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Economic Analysis of Residential Distributed Solar Photovoltaic

Xi Luo,Jia-ping Liu

《工程管理前沿（英文）》 2015年 第2卷 第2期   页码 125-130 doi: 10.15302/J-FEM-2015031

摘要： Under the huge challenges of global energy conservation, emission reduction and energy security, distributed solar photovoltaic industry has become the key means to achieve economic restructuring and low carbon economy. Based on System Advisor Model software, the authors choose Baoji as the sample plot. Household load, unit investment, loan interest rate and loan fraction are used as influence factors to analyze the economic benefits of distributed solar photovoltaic in China. The result demonstrates that government incentives help to increase the profitability of distributed solar photovoltaic by a large extent; other factors that influence the profitability includes household load, unit investment cost, loan interest rate and loan fraction.

关键词： distributed solar photovoltaic     internal rate of return     price ladder     government incentives    

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Advances in tissue state recognition in spinal surgery: a review

Hao Qu, Yu Zhao

《医学前沿（英文）》 2021年 第15卷 第4期   页码 575-584 doi: 10.1007/s11684-020-0816-3

摘要： Spinal disease is an important cause of cervical discomfort, low back pain, radiating pain in the limbs, and neurogenic intermittent claudication, and its incidence is increasing annually. From the etiological viewpoint, these symptoms are directly caused by the compression of the spinal cord, nerve roots, and blood vessels and are most effectively treated with surgery. Spinal surgeries are primarily performed using two different techniques: spinal canal decompression and internal fixation. In the past, tactile sensation was the primary method used by surgeons to understand the state of the tissue within the operating area. However, this method has several disadvantages because of its subjectivity. Therefore, it has become the focus of spinal surgery research so as to strengthen the objectivity of tissue state recognition, improve the accuracy of safe area location, and avoid surgical injury to tissues. Aside from traditional imaging methods, surgical sensing techniques based on force, bioelectrical impedance, and other methods have been gradually developed and tested in the clinical setting. This article reviews the progress of different tissue state recognition methods in spinal surgery and summarizes their advantages and disadvantages.

关键词： spinal surgery     tissue state recognition     image     force sensing     bioelectrical impedance    

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Digital image correlation-based structural state detection through deep learning

《结构与土木工程前沿（英文）》 2022年 第16卷 第1期   页码 45-56 doi: 10.1007/s11709-021-0777-x

摘要： This paper presents a new approach for automatical classification of structural state through deep learning. In this work, a Convolutional Neural Network (CNN) was designed to fuse both the feature extraction and classification blocks into an intelligent and compact learning system and detect the structural state of a steel frame; the input was a series of vibration signals, and the output was a structural state. The digital image correlation (DIC) technology was utilized to collect vibration information of an actual steel frame, and subsequently, the raw signals, without further pre-processing, were directly utilized as the CNN samples. The results show that CNN can achieve 99% classification accuracy for the research model. Besides, compared with the backpropagation neural network (BPNN), the CNN had an accuracy similar to that of the BPNN, but it only consumes 19% of the training time. The outputs of the convolution and pooling layers were visually displayed and discussed as well. It is demonstrated that: 1) the CNN can extract the structural state information from the vibration signals and classify them; 2) the detection and computational performance of the CNN for the incomplete data are better than that of the BPNN; 3) the CNN has better anti-noise ability.

关键词： structural state detection     deep learning     digital image correlation     vibration signal     steel frame    

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Biological pretreatment of corn stover by solid state fermentation of

Jian ZHANG, Xin REN, Wenqun CHEN, Jie BAO

《化学科学与工程前沿（英文）》 2012年 第6卷 第2期   页码 146-151 doi: 10.1007/s11705-012-1220-6

摘要： Biological pretreatment is a promising way to overcome the biorecalcitrance of cleaving the supermolecular structure of lignocellulose by lignin degrading enzymes from microorganisms. Solid state fermentation of corn stover with the white-rot fungus was carried out and the efficiency of this pretreatment was evaluated. The enzymatic hydrolysis yield reached a maximum when the corn stover was biologically pretreated for nine days, and the hydrolysis yield decreased sharply if the solid state fermentation was carried out for more than nine days. A possible explanation for this sharp decrease is that not only the lignin degrading enzymes (LiP and MnP) were secreted, but also other metabolites, which were toxic or fatal to the hydrolysis enzymes resulting in the lower hydrolysis yield were generated during the prolonged period of biopretreatment. These results are useful to help determine the optimal timing and to understand the lignin structure and degradation mechanism in biological pretreatment processes.

关键词： biological pretreatment     Phanerochaete chrysosporium     solid state fermentation     biorecalcitrance     hydrolysis yield    

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Development of a constitutive model for rockfills and similar granular materials based on the disturbed state

Mehdi VEISKARAMI, Ali GHORBANI, Mohammadreza ALAVIPOUR

《结构与土木工程前沿（英文）》 2012年 第6卷 第4期   页码 365-378 doi: 10.1007/s11709-012-0178-2

摘要： Behavior of rockfills was investigated experimentally and theoretically. A series of standard triaxial compression tests were carried out on a quarried rockfill material at different stress levels. It was found that both the stress level and the shear stress ratio, like most of granular materials, controls the behavior of rockfill materials. At lower shear stress ratios the behavior is much more similar to a nonlinear elastic solid. When the shear stress goes further, the stress-strain curve shows an elasto-plastic behavior which suggests using the disturbed state concept to develop a constitutive model to predict the stress-strain behavior. The presented constitutive model complies reasonably with the experimental data.

关键词： constitutive model     granular material     rockfill     plasticity     disturbed state concept     stress level    

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Machine learning and neural network supported state of health simulation and forecasting model for lithium-ion

《能源前沿（英文）》 doi: 10.1007/s11708-023-0891-7

摘要： As the intersection of disciplines deepens, the field of battery modeling is increasingly employing various artificial intelligence (AI) approaches to improve the efficiency of battery management and enhance the stability and reliability of battery operation. This paper reviews the value of AI methods in lithium-ion battery health management and in particular analyses the application of machine learning (ML), one of the many branches of AI, to lithium-ion battery state of health (SOH), focusing on the advantages and strengths of neural network (NN) methods in ML for lithium-ion battery SOH simulation and prediction. NN is one of the important branches of ML, in which the application of NNs such as backpropagation NN, convolutional NN, and long short-term memory NN in SOH estimation of lithium-ion batteries has received wide attention. Reports so far have shown that the utilization of NN to model the SOH of lithium-ion batteries has the advantages of high efficiency, low energy consumption, high robustness, and scalable models. In the future, NN can make a greater contribution to lithium-ion battery management by, first, utilizing more field data to play a more practical role in health feature screening and model building, and second, by enhancing the intelligent screening and combination of battery parameters to characterize the actual lithium-ion battery SOH to a greater extent. The in-depth application of NN in lithium-ion battery SOH will certainly further enhance the science, reliability, stability, and robustness of lithium-ion battery management.

关键词： machine learning     lithium-ion battery     state of health     neural network     artificial intelligence    

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Firm Innovation Systems: Perspectives of Researches on State-owned Key Enterprises

Jin Chen,Shu-fang Huang,Qing-rui Xu

《工程管理前沿（英文）》 2015年 第2卷 第1期   页码 64-70 doi: 10.15302/J-FEM-2015017

摘要： Based on the origin of the innovation theory and the technological innovation models of Rothwell, this paper puts forward four-generations of evolutionary models using the firm innovation system: “Internal R&D-Oriented Innovation System”, “Internal and External Collaborative Innovation System”, “Highly Strategic-Oriented Innovation System” and “Ecological Innovation System”. This paper dwells on the characteristics and relationship between each innovation system, and the role in the enterprise innovation especially the State-owned Key Enterprises innovation, so as to provide a theoretical and practical basis for the design and improvement of the State-owned Key Enterprises innovation system.

关键词： firm innovation system     state-owned key enterprises     ecology     evolution    

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Modeling and analysis of steady-state vibration induced by backlash in servo rotary table

Xiao YANG,Dun LU,Sanli LIU,Jun ZHANG,Wanhua ZHAO

《机械工程前沿（英文）》 2015年 第10卷 第1期   页码 43-47 doi: 10.1007/s11465-015-0327-0

摘要：

Backlash cannot be always avoided in mechanical systems because of wear or looseness. Steady-state vibration may be induced by backlash in closed loop feed drive systems. This paper presents a mathematical model of a servo rotary table, considering the effect of backlash. The accuracy of this model is verified by an experiment. The influences of the parameters, such as position controller gain, velocity controller gain, load and the magnitude of backlash, on steady-state vibration are discussed. The steady-state vibration amplitude increases with the position controller gain, load and the magnitude of backlash. The steady-state vibration frequency increases with the position controller gain and the velocity controller gain, while an increase in load leads to a decrease in the frequency.

关键词： backlash     servo rotary table     steady-state vibration    

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Assessment of robustness of structures: Current state of research

Colin BRETT, Yong LU

《结构与土木工程前沿（英文）》 2013年 第7卷 第4期   页码 356-368 doi: 10.1007/s11709-013-0220-z

摘要： The concept of structural robustness and relevant design guidelines have been in existence in the progressive collapse literature since the 1970s following the partial collapse of the Ronan Point apartment building; however, in the more general context, research on the evaluation and enhancement of structural robustness is still relatively limited. This paper is aimed to provide a general overview of the current state of research concerning structural robustness. The focus is placed on the quantification and the associated evaluation methodologies, rather than specific measures to ensure prescriptive robustness requirements. Some associated concepts, such as redundancy and vulnerability, will be discussed and interpreted in the general context of robustness such that the corresponding methodologies can be compared quantitatively using a comparable scale. A framework methodology proposed by the authors is also introduced in line with the discussion of the literature.

关键词： structural robustness     abnormal exposure     vulnerability     collapse     consequence    

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Application of Fe(VI) in abating contaminants in water: State of art and knowledge gaps

《环境科学与工程前沿（英文）》 2021年 第15卷 第5期 doi: 10.1007/s11783-020-1373-3

摘要：

• The properties of Fe(VI) were summarized.

关键词： Ferrate     Oxidation     Disinfection     Coagulation     Enhancement    

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标题 作者 时间 类型 操作

Effectiveness of state incentives for promoting wind energy: A panel data examination

Deepak SANGROYA,Jogendra NAYAK

期刊论文

The impact of government incentives and penalties on willingness to recycle plastic waste: An evolutionary

Zhen Wang, Jiazhen Huo, Yongrui Duan

期刊论文

Supplier development and its incentives in infrastructure mega-projects: A case study on Hong Kong-Zhuhai-Macao

Wei ZENG, Jinwen ZHANG, Hongwei WANG, Hongtao ZHOU

期刊论文

Internal incentives and operations strategies for the water-saving supply chain with cap-and-trade regulation

Zhisong CHEN, Li FANG, Huimin WANG

期刊论文

Policy options for Agriculture Green Development by farmers in China

Laurence E. D. SMITH

期刊论文

Economic Analysis of Residential Distributed Solar Photovoltaic

Xi Luo,Jia-ping Liu

期刊论文

Advances in tissue state recognition in spinal surgery: a review

Hao Qu, Yu Zhao

期刊论文

Digital image correlation-based structural state detection through deep learning

期刊论文

Biological pretreatment of corn stover by solid state fermentation of

Jian ZHANG, Xin REN, Wenqun CHEN, Jie BAO

期刊论文

Development of a constitutive model for rockfills and similar granular materials based on the disturbed state

Mehdi VEISKARAMI, Ali GHORBANI, Mohammadreza ALAVIPOUR

期刊论文

Machine learning and neural network supported state of health simulation and forecasting model for lithium-ion

期刊论文

Firm Innovation Systems: Perspectives of Researches on State-owned Key Enterprises

Jin Chen,Shu-fang Huang,Qing-rui Xu

期刊论文

Modeling and analysis of steady-state vibration induced by backlash in servo rotary table

Xiao YANG,Dun LU,Sanli LIU,Jun ZHANG,Wanhua ZHAO

期刊论文

Assessment of robustness of structures: Current state of research

Colin BRETT, Yong LU

期刊论文

Application of Fe(VI) in abating contaminants in water: State of art and knowledge gaps

期刊论文