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The influence of social media on stock volatility

Xianjiao WU, Xiaolin WANG, Shudong MA, Qiang YE

Frontiers of Engineering Management 2017, Volume 4, Issue 2,   Pages 201-211 doi: 10.15302/J-FEM-2017018

Abstract: This study explores the influence of social media on stock volatility and builds a feature model withWe find that the effect of social factors, such as increased attention to a stock’s volatility, is moreA prediction model is introduced based on social factors and public sentiment to predict stock volatilityOur findings indicate that the influence of social media data on the next day’s volatility is more significant

Keywords： stock volatility     social data     sentiment analysis     boosting algorithm    

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Macroeconomic impacts of oil price volatility: mitigation and resilience

Zoheir EBRAHIM, Oliver R. INDERWILDI, David A. KING

Frontiers in Energy 2014, Volume 8, Issue 1,   Pages 9-24 doi: 10.1007/s11708-014-0303-0

Abstract: Numerous studies have addressed the effect of price volatility on specific economic parameters.lacks a comprehensive review of the interactions between global macroeconomic performance and oil price volatilityPrice volatility is intrinsic in commodity markets, but has been advancing at a faster rate in the crudeliterature review and analysis of the behavioral responses of macroeconomic agents to OPV shows that such volatility

Keywords： conventional oil     price volatility     macroeconomy     economic stability     energy security    

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Sinks of steel in China–addition to in-use stock, export and loss

Hua GUO,Tianzhu ZHANG

Frontiers of Environmental Science & Engineering 2016, Volume 10, Issue 1,   Pages 141-149 doi: 10.1007/s11783-014-0696-3

Abstract: The researchers calculate the steel demand in China from 2000 to 2009 based on three sinks (steel stockThe researchers conclude that addition to in-use stock is the main driver of steel demand and that the10-year average addition to in-use stock accounted for 77% of the steel sinks, in which 55% of the addition

Keywords： steel demand     driver     Material Flow Analysis (MFA)     Substance Flow Analysis (SFA)     addition to in-use stock    

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Proliferation of district heating using local energy resources through strategic building-stock management

Yi DOU, Keijiro OKUOKA, Minoru FUJII, Hiroki TANIKAWA, Tsuyoshi FUJITA, Takuya TOGAWA, Liang DONG

Frontiers in Energy 2018, Volume 12, Issue 3,   Pages 411-425 doi: 10.1007/s11708-018-0577-8

Abstract:

District heating systems using cogeneration technology and renewable resources are considered as an effective approach to resources conservation and reduction of greenhouse gas (GHG) emissions. However, wide-spread aging and depopulation problems, as well as the popularization of energy-saving technologies in buildings, are estimated to greatly decrease energy consumption, leading to inefficiency in district heating and barriers to technology proliferation. From a long-term perspective, land use changes, especially the progression of compact city plans, have the potential to offset the decrement in energy consumption that maintains the efficiency of district heating systems. An integrated model is developed in this paper based on building cohort analysis to evaluate the economic feasibility and environmental impact of introducing district heating systems to a long-term compact city plan. As applied to a case in the Soma Region of Fukushima, Japan, potential migration from the suburbs to the central station districts is simulated, where district heating based on gas-fired cogeneration is expected to be introduced. The results indicate that guided migration to produce concentrated centers of population can substantially increase the heat demand density, which supports a wider application of district heating systems and better low-carbon performance. These results are further discussed in relation to technology innovation and related policies. It is concluded that policies related to urban land use planning and energy management should be integrated and quantitatively evaluated over the long-term with the aim of supporting urban low-carbon sustainable development.

Keywords： building stock     compact city     district heating     energy use     Fukushima    

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Partitioning of heavy metals during municipal solid waste incineration on a laboratory fluid bed furnace

LI Jianxin, YAN Jianhua, CHI Yong

Frontiers in Energy 2007, Volume 1, Issue 3,   Pages 359-364 doi: 10.1007/s11708-007-0054-2

Abstract: experimental results show that temperature and chloride content in the feed have significant influence on the volatility

Keywords： partitioning     municipal     volatility     significant influence     temperature    

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Important Progress in Estimating Forest Resources

Zhao Xianwen,Li Chonggui,Si Lin,Tian Yonglin,Yuan Kaixian

Strategic Study of CAE 2001, Volume 3, Issue 8,   Pages 15-24

Abstract: been used since then in the activities of forest resource inventory, especially in estimating forest stockvolume, they include： Estimating volume stock of forest using quantitative value and qualitative factorsremote sensing image against sampling plots on the ground, decreasing field work, increasing accuracy of stockapplications have confirmed that remote sensing information play a leading role in estimating forest stock

Keywords： inventory by remote sensing     non-parameter estimation     forest stock volume     modern statistics    

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Strategies of CFSM Green & Circular Development Research in the Qinba Mountain Area

Liu Xu,Mei Xurong,Yang Zhengli and Yang Shiqi

Strategic Study of CAE 2016, Volume 18, Issue 5,   Pages 24-30 doi: 10.15302/J-SSCAE-2016.05.004

Abstract: In order to build the green & circular development system for the crop farming, forestry, stock farmingscience and education leading; ecological agriculture, which depends on the harmonious cycle of crop and stock

Keywords： the Qinba Mountain Area     crop farming     forestry     stock farming and medicinal materials (CFSM)     the green    

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Big Geodata Reveals Spatial Patterns of Built Environment Stocks Across and Within Cities in China

Zhou Huang,Yi Bao,Ruichang Mao,Han Wang,Ganmin Yin,Lin Wan,Houji Qi,Qiaoxuan Li,Hongzhao Tang,Qiance Liu,Linna Li,Bailang Yu,Qinghua Guo,Yu Liu,Huadong Guo,Gang Liu,

Engineering doi: 10.1016/j.eng.2023.05.015

Abstract: and infrastructure accompanied by rapid urbanization offer an important, yet hitherto largely missing stockThis study leveraged multi-source big geodata, machine learning, and bottom-up stock accounting to characterizeThe per capita built environment stock of many cities (240 tonnes per capita on average) is close to

Keywords： urban system engineering     built environment stock     spatial pattern     urban sustainability     big geodata    

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Title Author Date Type Operation

The influence of social media on stock volatility

Xianjiao WU, Xiaolin WANG, Shudong MA, Qiang YE

Journal Article

Macroeconomic impacts of oil price volatility: mitigation and resilience

Zoheir EBRAHIM, Oliver R. INDERWILDI, David A. KING

Journal Article

Sinks of steel in China–addition to in-use stock, export and loss

Hua GUO,Tianzhu ZHANG

Journal Article

Proliferation of district heating using local energy resources through strategic building-stock management

Yi DOU, Keijiro OKUOKA, Minoru FUJII, Hiroki TANIKAWA, Tsuyoshi FUJITA, Takuya TOGAWA, Liang DONG

Journal Article

Partitioning of heavy metals during municipal solid waste incineration on a laboratory fluid bed furnace

LI Jianxin, YAN Jianhua, CHI Yong

Journal Article

Important Progress in Estimating Forest Resources

Zhao Xianwen,Li Chonggui,Si Lin,Tian Yonglin,Yuan Kaixian

Journal Article

Strategies of CFSM Green & Circular Development Research in the Qinba Mountain Area

Liu Xu,Mei Xurong,Yang Zhengli and Yang Shiqi

Journal Article

Big Geodata Reveals Spatial Patterns of Built Environment Stocks Across and Within Cities in China

Zhou Huang,Yi Bao,Ruichang Mao,Han Wang,Ganmin Yin,Lin Wan,Houji Qi,Qiaoxuan Li,Hongzhao Tang,Qiance Liu,Linna Li,Bailang Yu,Qinghua Guo,Yu Liu,Huadong Guo,Gang Liu,

Journal Article

Zhong Rui: Research on the Correlation between International Crude Oil Market and China's Stock Market

19 May 2022

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