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Gain-enhanced reconfigurable radiation array with mechanically driven system and directive elements

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 4, doi: 10.1007/s11465-022-0716-0

Abstract: miniaturized elements and a mechanically reconfigurable system to obtain gain-enhanced antennas in compact and deployed

Keywords： mechanism     reconfigurable radiation array (RRA)     compact state     deployed state     enhanced gain    

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Self-deployed execution environment for high performance computing Research Articles

Mingtian SHAO, Kai LU, Wenzhe ZHANG

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 6,   Pages 845-857 doi: 10.1631/FITEE.2100016

Abstract: Facing the above-mentioned problems, in this paper we propose a self-deployed (SDEE) for HPC.The job and its dependencies are analyzed, packaged, deployed, and executed automatically.

Keywords： Execution environment     High performance computing     Light-weight     Isolation     Overlay    

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Advances in tissue state recognition in spinal surgery: a review

Hao Qu, Yu Zhao

Frontiers of Medicine 2021, Volume 15, Issue 4,   Pages 575-584 doi: 10.1007/s11684-020-0816-3

Abstract: In the past, tactile sensation was the primary method used by surgeons to understand the state of theTherefore, it has become the focus of spinal surgery research so as to strengthen the objectivity of tissue stateThis article reviews the progress of different tissue state recognition methods in spinal surgery and

Keywords： spinal surgery     tissue state recognition     image     force sensing     bioelectrical impedance    

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

Deepak SANGROYA,Jogendra NAYAK

Frontiers in Energy 2015, Volume 9, Issue 3,   Pages 247-258 doi: 10.1007/s11708-015-0364-8

Abstract: The Indian government, as well as different state governments, are adopting policy instruments such asThis paper evaluates the effectiveness of state level incentives for the development of wind energy in

Keywords： India     wind energy development     state incentives     econometric analysis     panel data    

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Digital image correlation-based structural state detection through deep learning

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 1,   Pages 45-56 doi: 10.1007/s11709-021-0777-x

Abstract: This paper presents a new approach for automatical classification of structural state through deep learningand classification blocks into an intelligent and compact learning system and detect the structural stateof a steel frame; the input was a series of vibration signals, and the output was a structural stateIt is demonstrated that: 1) the CNN can extract the structural state information from the vibration signals

Keywords： 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

Frontiers of Chemical Science and Engineering 2012, Volume 6, Issue 2,   Pages 146-151 doi: 10.1007/s11705-012-1220-6

Abstract: Solid state fermentation of corn stover with the white-rot fungus was carried out and the efficiencywas biologically pretreated for nine days, and the hydrolysis yield decreased sharply if the solid state

Keywords： biological pretreatment     Phanerochaete chrysosporium     solid state fermentation     biorecalcitrance    

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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

Frontiers of Structural and Civil Engineering 2012, Volume 6, Issue 4,   Pages 365-378 doi: 10.1007/s11709-012-0178-2

Abstract: further, the stress-strain curve shows an elasto-plastic behavior which suggests using the disturbed state

Keywords： 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

Frontiers in Energy doi: 10.1007/s11708-023-0891-7

Abstract: analyses the application of machine learning (ML), one of the many branches of AI, to lithium-ion battery state

Keywords： 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

Frontiers of Engineering Management 2015, Volume 2, Issue 1,   Pages 64-70 doi: 10.15302/J-FEM-2015017

Abstract: relationship between each innovation system, and the role in the enterprise innovation especially the State-ownedinnovation, so as to provide a theoretical and practical basis for the design and improvement of the State-owned

Keywords： 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

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 1,   Pages 43-47 doi: 10.1007/s11465-015-0327-0

Abstract: Steady-state vibration may be induced by backlash in closed loop feed drive systems.as position controller gain, velocity controller gain, load and the magnitude of backlash, on steady-stateThe steady-state vibration amplitude increases with the position controller gain, load and the magnitudeThe steady-state vibration frequency increases with the position controller gain and the velocity controller

Keywords： backlash     servo rotary table     steady-state vibration    

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Assessment of robustness of structures: Current state of research

Colin BRETT, Yong LU

Frontiers of Structural and Civil Engineering 2013, Volume 7, Issue 4,   Pages 356-368 doi: 10.1007/s11709-013-0220-z

Abstract: This paper is aimed to provide a general overview of the current state of research concerning structural

Keywords： 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

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 5, doi: 10.1007/s11783-020-1373-3

Abstract:

• The properties of Fe(VI) were summarized.

Keywords： Ferrate     Oxidation     Disinfection     Coagulation     Enhancement    

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To Enhance the Competitiveness and Viability of State-owned Enterprises——On “Personnel and Systems Management” and Sustainable Development of State-owned Enterprises

Xia Guohong

Strategic Study of CAE 2003, Volume 5, Issue 3,   Pages 75-82

Abstract:

It is a great challenge facing all leaders of state-owned enterprises (SOE) of how to enhance theTalents and scientific & technological innovations are critical to the core competitiveness of the state-ownedldquo;Choosing qualified persons” is key to ensuring the competitiveness and viability of the state-owned

Keywords： state-owned enterprise     management     sustainable development    

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Solubility of CO in solid-state PET measured by pressure-decay method

CHEN Miaocan, ZHAO Ling, LIU Tao, WU Jiangwei, YUAN Weikang

Frontiers of Chemical Science and Engineering 2008, Volume 2, Issue 2,   Pages 214-219 doi: 10.1007/s11705-008-0040-1

Abstract: The solubility of CO in solid-state PET was measured using a pressure-decay method.order to calculate the solubility of CO in the amorphous region of PET, the crystallinity of solid stateregion of PET at 373.15 K, 398.15 K and 423.15 K was correlated with the Sanchez-Lacombe equation of state

Keywords： Sanchez-Lacombe equation     solid-state PET     different     relationship     calorimetry    

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Characteristics and mixing state of S-rich particles in haze episodes in Beijing

Jun Hu, Fengkui Duan, Kebin He, Yongliang Ma, Shuping Dong, Xiande Liu

Frontiers of Environmental Science & Engineering 2016, Volume 10, Issue 5, doi: 10.1007/s11783-016-0861-y

Abstract: Four types of S-rich particles are identified by SEM/FESEM-EDX With on-line observation, characteristics of S-rich particles are discovered Intensities of formation of S-rich particles are seasonally different Direct individual analysis using Scanning Electron Microscopy combined with online observation was conducted to examine the S-rich particles in PM of two typical polluted haze episodes in summer and winter from 2014 to 2015 in Beijing. Four major types of S-rich particles, including secondary CaSO particles (mainly observed in summer), S-rich mineral particles (SRM), S-rich water droplets (SRW) and (C, O, S)-rich particles (COS) were identified. We found the different typical morphologies and element distributions of S-rich particles and considered that (C, O, S)-rich particles had two major mixing states in different seasons. On the basis of the S-rich particles’ relative abundances, S concentrations and their relationships with PM as well as the seasonal comparison, we revealed that the S-participated formation degrees of SRM and SRW would enhance with increasing PM concentration. Moreover, C-rich matter and sulfate had seasonally different but significant impacts on the formation of COS.

Keywords： S-rich particles     Morphology     Element distribution     Mixing state    

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Title Author Date Type Operation

Gain-enhanced reconfigurable radiation array with mechanically driven system and directive elements

Journal Article

Self-deployed execution environment for high performance computing

Mingtian SHAO, Kai LU, Wenzhe ZHANG

Journal Article

Advances in tissue state recognition in spinal surgery: a review

Hao Qu, Yu Zhao

Journal Article

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

Deepak SANGROYA,Jogendra NAYAK

Journal Article

Digital image correlation-based structural state detection through deep learning

Journal Article

Biological pretreatment of corn stover by solid state fermentation of

Jian ZHANG, Xin REN, Wenqun CHEN, Jie BAO

Journal Article

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

Mehdi VEISKARAMI, Ali GHORBANI, Mohammadreza ALAVIPOUR

Journal Article

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

Journal Article

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

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

Journal Article

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

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

Journal Article

Assessment of robustness of structures: Current state of research

Colin BRETT, Yong LU

Journal Article

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

Journal Article

To Enhance the Competitiveness and Viability of State-owned Enterprises——On “Personnel and Systems Management” and Sustainable Development of State-owned Enterprises

Xia Guohong

Journal Article

Solubility of CO in solid-state PET measured by pressure-decay method

CHEN Miaocan, ZHAO Ling, LIU Tao, WU Jiangwei, YUAN Weikang

Journal Article

Characteristics and mixing state of S-rich particles in haze episodes in Beijing

Jun Hu, Fengkui Duan, Kebin He, Yongliang Ma, Shuping Dong, Xiande Liu

Journal Article