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EXPLORING THE RELATIVE ADVANTAGES OF LOCAL INNOVATION IN AGROFORESTRY

《农业科学与工程前沿（英文）》 2023年第10卷第1期页码 61-72 doi: 10.15302/J-FASE-2022476

摘要：

● Promotion of local sustainable innovation developed by forest farmers.

关键词： agroforestry forest farmers local innovation relative advantage social forestry

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Comments on the special issue on forestry of

John L. INNES

《农业科学与工程前沿（英文）》 2017年第4卷第4期页码 502-503 doi: 10.15302/J-FASE-2017189

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面向21世纪的中国林业遥感

赵宪文

《中国工程科学》 1999年第1卷第3期页码 16-21

摘要：

重点概述了近20年来林业遥感专家们为改进森林资源调查方法所作的诸多努力，如用卫星数据估计森林蓄积量、小块林地面积、以及森林郁闭度方法的研究、森林动态图的编制等。特别是上述方法在经过森林调查实际应用并进行效益分析后，提出的改进现行调查体系的建议。此外还提及了遥感用于评估、监测森林生态环境和森林灾害等方面取得的进展。对21世纪中国林业遥感前景进行了展望。作者认为下一个世纪中国林业遥感发展的主要方向是：包容各种新技术，形成新的技术体系，并与国际接轨；利用遥感的优势，研究森林的宏观状况与作用；与森林经营进一步结合。

关键词：林业遥感持续发展 21世纪

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Forestry in China

《农业科学与工程前沿（英文）》 2017年第4卷第4期页码 509-516 doi: 10.15302/J-FASE-2017190

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Emergence mechanisms of group consensus in social networks

《工程管理前沿（英文）》 doi: 10.1007/s42524-023-0277-x

摘要： Reaching consensus within larger social network groups has emerged as a pivotal concern in the digital age of connectivity. This article redefines group consensus as the emergence of collective intelligence resulting from self-organizing actions and interactions of individuals within a social network group. In our exploration of extant research on group consensus, we illuminate two frequently underestimated, yet noteworthy facets: Dynamism and emergence. In contrast to the conventional perspective of consensus as a mere outcome, we perceive it as an ongoing, dynamic process. This process encompasses self-organized communication and interaction among group members, collectively guiding the group towards cognitive convergence and viewpoint integration. Consequently, it is imperative to redirect our focus from the outcomes of group interactions to an examination of the relationships and processes underpinning consensus formation, thus elucidating the mechanisms responsible for the generation of group consensus. The amalgamation of cognitive contexts and accurate simplification of real-world scenarios for simulation and experimental analysis offers a pragmatic operational approach. This study contributes novel theoretical underpinnings and quantitative insights for establishing and sustaining group consensus within the realm of engineering management practices. Concurrently, it holds substantial importance for advancing the broader research landscape pertaining to social consensus.

关键词： group consensus social network collective intelligence

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The influence of social media on stock volatility

Xianjiao WU, Xiaolin WANG, Shudong MA, Qiang YE

《工程管理前沿（英文）》 2017年第4卷第2期页码 201-211 doi: 10.15302/J-FEM-2017018

摘要： This study explores the influence of social media on stock volatility and builds a feature model with an intelligence algorithm using social media data from Xueqiu.com in China, Sina Finance and Economics, Sina Microblog, and Oriental Fortune. We find that the effect of social factors, such as increased attention to a stock’s volatility, is more significant than public sentiment. A prediction model is introduced based on social factors and public sentiment to predict stock volatility. Our findings indicate that the influence of social media data on the next day’s volatility is more significant but declines over time.

关键词： stock volatility social data sentiment analysis boosting algorithm

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Spatial impacts of climate factors on regional agricultural and forestry biomass resources in north-eastern

Wenyan Wang, Wei Ouyang, Fanghua Hao, Yun Luan, Bo Hu

《环境科学与工程前沿（英文）》 2016年第10卷第4期 doi: 10.1007/s11783-016-0864-8

摘要： Dynamic analysis of biomass combined NPP modeling has been adopted. Temperature trends to warming and precipitation has periodic fluctuation. Regional distribution of agricultural and forestry biomass is mutual and divergent. Precipitation is significantly positive correlated with agricultural biomass. Temperature is negative on forestry biomass in Lesser Khingan & northern Changbai. Precipitation plays positive effect on biomass in southwestern Changbai Mountain. The dynamics of agricultural and forestry biomass are highly sensitive to climate change, particularly in high latitude regions. Heilongjiang Province was selected as research area in North-east China. We explored the trend of regional climate warming and distribution feature of biomass resources, and then analyzed on the spatial relationship between climate factors and biomass resources. Net primary productivity (NPP) is one of the key indicators of vegetation productivity, and was simulated as base data to calculate the distribution of agricultural and forestry biomass. The results show that temperatures rose by up to 0.37°C/10a from 1961 to 2013. Spatially, the variation of agricultural biomass per unit area changed from -1.93 to 5.85 t·km ·a during 2000–2013. More than 85% of farmland areas showed a positive relationship between agricultural biomass and precipitation. The results suggest that precipitation exerts an overwhelming climate influence on agricultural biomass. The mean density of forestry biomass varied from 10 to 30 t·km . Temperature had a significant negative effect on forestry biomass in Lesser Khingan and northern Changbai Mountain, because increased temperature leads to decreased Rubisco activity and increased respiration in these areas. Precipitation had a significant positive relationship with forestry biomass in south-western Changbai Mountain, because this area had a warmer climate and stress from insufficient precipitation may induce xylem cavitation. Understanding the effects of climate factors on regional biomass resources is of great significance in improving environmental management and promoting sustainable development of further biomass resource use.

关键词： Biomass resources Net primary productivity (NPP) Climate change Heilongjiang Province China Climate Energy systems/technology Other sustainability (specify) Statistical methods GIS Model flow CFD

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review of modeling, structure, and integration techniques of smart buildings in the cyber-physical-social

《能源前沿（英文）》 2022年第16卷第1期页码 74-94 doi: 10.1007/s11708-021-0792-6

摘要： Smart buildings have been proven to be a kind of flexible demand response resources in the power system. To maximize the utilization of the demand response resources, such as the heating, ventilating and air-conditioning (HVAC), the energy storage systems (ESSs), the plug-in electric vehicles (PEVs), and the photovoltaic systems (PVs), their controlling, operation and information communication technologies have been widely studied. Involving human behaviors and cyber space, a traditional power system evolves into a cyber-physical-social system (CPSS). Lots of new operation frameworks, controlling methods and potential resources integration techniques will be introduced. Conversely, these new techniques urge the reforming requirement of the techniques on the modeling, structure, and integration techniques of smart buildings. In this paper, a brief comprehensive survey of the modeling, controlling, and operation of smart buildings is provided. Besides, a novel CPSS-based smart building operation structure is proposed, and the integration techniques for the group of smart buildings are discussed. Moreover, available business models for aggregating the smart buildings are discussed. Furthermore, the required advanced technologies for well-developed smart buildings are outlined.

关键词： smart buildings cyber-physical-social-system optimization modeling demand response virtual power plant

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基于主成分分析法的秦巴山脉区域林业产业发展研究

郑东晖,后华,翟明普,渠美

《中国工程科学》 2020年第22卷第1期页码 120-126 doi: 10.15302/J-SSCAE-2020.01.013

摘要：

林业产业作为国民经济的重要基础性产业，在生态建设中的地位日益突出。本文系统梳理了秦巴山脉区域的林业产业发展现状，详细开展了区域林业产业的优势、劣势、机遇和威胁（SWOT）分析，以专家问卷调查作为数据来源，运用主成分分析方法，以统计分析的方式寻找出对秦巴山脉林业产业发展有较大影响的要素，以之作为区域林业产业发展战略制定的科学依据。研究表明，生态环境问题、集约化程度低、森林旅游业发展机遇、区位优势、资源优势等方面是秦巴山脉区域林业产业发展的主要影响因素；区域林业产业发展重在于生态建设，应利用区位和资源优势，做大做强特色产业，优化产业结构；同时大力发展以森林旅游为主的第三产业，保障区域林业产业的高质量发展。

关键词：秦巴山脉区域林业产业 SWOT分析主成分分析法生态环境

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Environmental, social, and economic assessment of energy utilization of crop residue in China

Yueling ZHANG, Junjie LI, Huan LIU, Guangling ZHAO, Yajun TIAN, Kechang XIE

《能源前沿（英文）》 2021年第15卷第2期页码 308-319 doi: 10.1007/s11708-020-0696-x

摘要： This paper aims to discuss an environmental, social, and economic analysis of energy utilization of crop residues from life cycle perspectives in China. The methodologies employed to achieve this objective are environmental life cycle assessment (E-LCA), life cycle cost (LCC), and social life cycle assessment (S-LCA). Five scenarios are developed based on the conversion technologies and final bioenergy products. The system boundaries include crop residue collection, transportation, pre-treatment, and conversion process. The replaced amounts of energy are also taken into account in the E-LCA analysis. The functional unit is defined as 1 MJ of energy produced. Eight impact categories are considered besides climate change in E-LCA. The investment capital cost and salary cost are collected and compared in the life cycle of the scenarios. Three stakeholders and several subcategories are considered in the S-LCA analysis defined by UNEP/SETAS guidelines. The results show that the energy utilization of crop residue has carbon emission factors of 0.09–0.18 kg (CO eq per 1 MJ), and presents a net carbon emissions reduction of 0.03–0.15 kg (CO eq per 1 MJ) compared with the convectional electricity or petrol, but the other impacts should be paid attention to in the biomass energy scenarios. The energy utilization of crop residues can bring economic benefit to local communities and the society, but the working conditions of local workers need to be improved in future biomass energy development.

关键词： crop residue life cycle assessment life cycle cost social life cycle assessment energy production

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Are public‒private partnerships still an answer for social infrastructure?

《工程管理前沿（英文）》页码 467-482 doi: 10.1007/s42524-023-0249-1

摘要： Social infrastructure has become an important element for measuring national economic development and social benefits that are usually financed in the form of government grants, private investment, and public‒private partnerships (PPPs). However, social infrastructure PPPs have attracted considerable public debate due to their low profitability and complex operational demands. This study aims to answer the question, “are PPPs still an answer for social infrastructure?”, from the perspectives of the body of knowledge, application status, and prospects. Initially, an iterative search and review procedure and a scientometric analysis were performed to systematically screen the literature and to structure the body of knowledge of the social infrastructure PPPs literature. Furthermore, the application status and trends were analyzed to further explore the studied countries/regions, application sectors, and research topics. Results show that PPPs still have valuable application potential for delivering social infrastructure despite their mixed results across different topics. Six main research themes and the corresponding research trends were also identified, namely, financing and economics viability, risk management, performance management, contract and relationship management, governance and regulation, and facilitating and hindering factors. These findings offer practitioners and researchers a comprehensive overview and constructive guidance on social infrastructure PPPs.

关键词： public‒private partnerships social infrastructure scientometric analysis systematic review

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社会影响力分析——模型、方法和评价 Review

李侃, 张林, 黄河燕

《工程（英文）》 2018年第4卷第1期页码 40-46 doi: 10.1016/j.eng.2018.02.004

摘要：

社会影响力分析（SIA）是一个广泛的研究领域，吸引了诸多研究者的兴趣。本文总结了SIA 相关的模型、方法和评价方面代表性的工作，并将SIA 模型归纳为两种类型：微观模型和宏观模型。微观模型考虑人与人之间的相互影响和影响的过程，而宏观模型认为每个人具有相同的传播概率和影响力。本文分析了包括影响最大化、影响最小化、影响流和个人影响力等的社会影响力分析方法；介绍了影响力评价指标，并分析了社会影响力评价模型。本文的目标是对社会影响力提供全面的分析，旨在辅助理解社会行为，为舆论影响提供理论基础，并揭示未来的研究方向和潜在的应用。

关键词：社会影响力分析在线社交网络社会影响力分析模型影响力评价

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Social responsibility in infrastructure mega-projects: A case study of ecological compensation for

Zheming LIU, Liangyan WANG, Zhaohan SHENG, Xinglin GAO

《工程管理前沿（英文）》 2018年第5卷第1期页码 98-108 doi: 10.15302/J-FEM-2018084

摘要： Ecological compensation plays an important role in implementing the social responsibility of infrastructure mega-projects. Based on the results of a field study, an in-depth interview, and archive data, this paper introduces the ecological compensation for (the Indo-Pacific humpbacked dolphin) during the construction of the Hong Kong-Zhuhai-Macao Bridge. It studies the concrete measures, decision-making processes, and organizational collaboration of the ecological compensation, using the method of a case study. The present study not only enriches our understanding of the ecological compensation practice during the construction of infrastructure mega-projects, but also extends the literature on the social responsibility of infrastructure mega-projects. This sheds light on the protection of the environment as well as biodiversity in the construction of future infrastructure mega-projects.

关键词： infrastructure mega-projects social responsibility ecological compensation Hong Kong-Zhuhai-Macao Bridge Sousa chinensis

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Identifying spreading influence nodes for social networks

《工程管理前沿（英文）》页码 520-549 doi: 10.1007/s42524-022-0190-8

摘要： The identification of spreading influence nodes in social networks, which studies how to detect important individuals in human society, has attracted increasing attention from physical and computer science, social science and economics communities. The identification algorithms of spreading influence nodes can be used to evaluate the spreading influence, describe the node’s position, and identify interaction centralities. This review summarizes the recent progress about the identification algorithms of spreading influence nodes from the viewpoint of social networks, emphasizing the contributions from physical perspectives and approaches, including the microstructure-based algorithms, community structure-based algorithms, macrostructure-based algorithms, and machine learning-based algorithms. We introduce diffusion models and performance evaluation metrics, and outline future challenges of the identification of spreading influence nodes.

关键词： complex network network science spreading influence machine learning