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Trend detection and stochastic simulation prediction of streamflow at Yingluoxia hydrological station

Chenglong ZHANG,Mo LI,Ping GUO

Frontiers of Agricultural Science and Engineering 2017, Volume 4, Issue 1,   Pages 81-96 doi: 10.15302/J-FASE-2016112

Abstract: Investigating long-term variation and prediction of streamflow are critical to regional water resourceThe results indicated there was a significant long-term increasing trend.

Keywords： Monte Carlo     nonstationary     trend detection     streamflow prediction     decomposition and ensemble     Yingluoxia    

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Trend prediction technology of condition maintenance for large water injection units

Xiaoli XU, Sanpeng DENG

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 2,   Pages 171-175 doi: 10.1007/s11465-009-0091-0

Abstract: Trend prediction technology is the key technology to achieve condition-based maintenance of mechanicalTo ensure the normal operation of units and save maintenance costs, trend prediction technology is studiedThe main methods of the technology are given, the trend prediction method based on neural network isThe industrial site verification shows that the proposed trend prediction technology can reflect theoperating condition trend change of the water injection units and provide technical means to achieve

Keywords： water injection units     condition-based maintenance     trend prediction    

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Allocation of grassland, livestock and arable based on the spatial and temporal analysis for food demand in China

Huilong LIN, Ruichao LI, Yifan LIU, Jingrong ZHANG, Jizhou REN

Frontiers of Agricultural Science and Engineering 2017, Volume 4, Issue 1,   Pages 69-80 doi: 10.15302/J-FASE-2017140

Abstract: To explore the distribution of food demand and the projected trend in future food demand in China, thisBased on the food demand and trend in the development of grassland agriculture, the 31 provinces in China

Keywords： arable land equivalent unit (ALEU)     food equivalent unit (FEU)     food security     grassland agriculture     time trendprediction    

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Innovation and Trend of Gears-Technology

Liang Guiming

Strategic Study of CAE 2000, Volume 2, Issue 3,   Pages 1-6

Abstract:

The trend of innovation of gears in the coming 50 years will be seeking miniaturization, puification

Keywords： gears     innovation     trend    

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Temporal trend of mortality from major cancers in Xuanwei, China

Hualiang Lin,Bofu Ning,Jihua Li,Guangqiang Zhao,Yunchao Huang,Linwei Tian

Frontiers of Medicine 2015, Volume 9, Issue 4,   Pages 487-495 doi: 10.1007/s11684-015-0413-z

Abstract: This study aimed to investigate the temporal trend of eight major cancers in Xuanwei County using datarates for all other types of cancer were lower than those of the national average, but an increasing trendThe temporal trend could be partly explained by changes in risk factors, but it also may be due to theepidemiological studies are warranted to systematically examine the underlying reasons for the temporal trend

Keywords： cancer     mortality     Xuanwei     temporal trend    

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Detection of critical road roughness sections by trend analysis and investigation of driver speed interaction

Meltem SAPLIOGLU; Ayse UNAL; Melek BOCEK

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 4,   Pages 515-532 doi: 10.1007/s11709-022-0814-4

Abstract: These data were analysed using the distance-dependent Mann-Kendall trend analysis method and checkerboard

Keywords： trend analysis     checkerboard model     IRI     driver speed    

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Atomic and close-to-atomic scale manufacturing—A trend in manufacturing development

Fengzhou FANG

Frontiers of Mechanical Engineering 2016, Volume 11, Issue 4,   Pages 325-327 doi: 10.1007/s11465-016-0402-1

Abstract:

Manufacturing is the foundation of a nation’s economy. It is the primary industry to promote economic and social development. To accelerate and upgrade China’s manufacturing sector from “precision manufacturing” to “high-performance and high-quality manufacturing”, a new breakthrough should be found in terms of achieving a “leap-frog development”. Unlike conventional manufacturing, the fundamental theory of “Manufacturing 3.0” is beyond the scope of conventional theory; rather, it is based on new principles and theories at the atomic and/or close-to-atomic scale. Obtaining a dominant role at the international level is a strategic move for China’s progress.

Keywords： atomic manufacturing     Manufacturing 3.0     Manufacturing 2025     Industry 4.0    

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Innovation-driven trend shaping COVID-19 vaccine development in China

Frontiers of Medicine doi: 10.1007/s11684-023-1034-6

Abstract: Confronted with the coronavirus disease 2019 (COVID-19) pandemic, China has become an asset in tackling the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission and mutation, with several innovative platforms, which provides various technical means in this persisting combat. Derived from collaborated researches, vaccines based on the spike protein of SARS-CoV-2 or inactivated whole virus are a cornerstone of the public health response to COVID-19. Herein, we outline representative vaccines in multiple routes, while the merits and plights of the existing vaccine strategies are also summarized. Likewise, new technologies may provide more potent or broader immunity and will contribute to fight against hypermutated SARS-CoV-2 variants. All in all, with the ultimate aim of delivering robust and durable protection that is resilient to emerging infectious disease, alongside the traditional routes, the discovery of innovative approach to developing effective vaccines based on virus properties remains our top priority.

Keywords： SARS-CoV-2     COVID-19 vaccine     vaccine development    

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Globalization of R&D： New Trend of Economy Globalization

Zhang Yanzhong

Strategic Study of CAE 2005, Volume 7, Issue 9,   Pages 14-17

Abstract:

The profound influence of economy globalization on the progress of the world, especially the impact on the development of China is described. It proposes that the globalization of R&D is a new stage of economy globalization. The rapid development of TNCs’ R&D in China is presented. The opportunities and challenges of R&D globalization for both developed and developing countries are discussed. The measures for encouraging globalization of R&D for developed, developing countries and UN are suggested.

Keywords： globalization of R&D     economy globalization     TNCs     R&D center     new trend    

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Spatial prediction of soil contamination based on machine learning: a review

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 8, doi: 10.1007/s11783-023-1693-1

Abstract:

● A review of machine learning (ML) for spatial prediction of soil

Keywords： Soil contamination     Machine learning     Prediction     Spatial distribution    

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The development trend and practical innovation of smart cities under the integration of new technologies

Xiaohong CHEN

Frontiers of Engineering Management 2019, Volume 6, Issue 4,   Pages 485-502 doi: 10.1007/s42524-019-0057-9

Abstract: Smart cities have rapidly developed in the context of the integration of new digital technologies such as big data, Internet of Things, artificial intelligence, blockchains, and virtual reality. These cities have conducted practical innovations and typical cases in many sectors, such as in government, transportation, environmental protection, energy, medical care, and logistics, and have produced many social, economic, and ecological benefits. However, there are still some problems that continue to hinder the construction of smart cities. This paper examines such problems in depth and proposes some relevant countermeasures and suggestions.

Keywords： new technology integration     smart city     big data     practical innovation    

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Hybrid deep learning model for risk prediction of fracture in patients with diabetes and osteoporosis

Frontiers of Medicine 2022, Volume 16, Issue 3,   Pages 496-506 doi: 10.1007/s11684-021-0828-7

Abstract: The fracture risk of patients with diabetes is higher than those of patients without diabetes due to hyperglycemia, usage of diabetes drugs, changes in insulin levels, and excretion, and this risk begins as early as adolescence. Many factors including demographic data (such as age, height, weight, and gender), medical history (such as smoking, drinking, and menopause), and examination (such as bone mineral density, blood routine, and urine routine) may be related to bone metabolism in patients with diabetes. However, most of the existing methods are qualitative assessments and do not consider the interactions of the physiological factors of humans. In addition, the fracture risk of patients with diabetes and osteoporosis has not been further studied previously. In this paper, a hybrid model combining XGBoost with deep neural network is used to predict the fracture risk of patients with diabetes and osteoporosis, and investigate the effect of patients’ physiological factors on fracture risk. A total of 147 raw input features are considered in our model. The presented model is compared with several benchmarks based on various metrics to prove its effectiveness. Moreover, the top 18 influencing factors of fracture risks of patients with diabetes are determined.

Keywords： XGBoost     deep neural network     healthcare     risk prediction    

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A study on the status quo, development trend and the innovation frontline of hydraulic and hydroelectric

Ma Hongqi

Strategic Study of CAE 2011, Volume 13, Issue 12,   Pages 15-19

Abstract:

This paper introduces the major domestic achievements on underground projects and technology. As cities are faced with a series of social and environmental problems, such as speeding up of urbanization, shortage of resources, worsening of environment and soil declination, underground space will soon be developed and utilized as a new form of national resources, and the demand for underground projects has a huge potential. The paper elaborates on the fundamental scientific and critical technological problems in the research of underground project technological innovations.

Keywords： underground project technology     status quo and development trend     study on the innovation frontline    

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Position-varying surface roughness prediction method considering compensated acceleration in milling

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 4,   Pages 855-867 doi: 10.1007/s11465-021-0649-z

Abstract: Aiming at surface roughness prediction in the machining process, this paper proposes a position-varyingsurface roughness prediction method based on compensated acceleration by using regression analysis.i>R-square proving the effectiveness of the filtering features, is selected as the input of the predictionMoreover, the prediction curve matches and agrees well with the actual surface state, which verifies

Keywords： surface roughness prediction     compensated acceleration     milling     thin-walled workpiece    

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Improved prediction of pile bending moment and deflection due to adjacent braced excavation

Frontiers of Structural and Civil Engineering doi: 10.1007/s11709-023-0961-2

Abstract: Deep excavations in dense urban areas have caused damage to nearby existing structures in numerous past construction cases. Proper assessment is crucial in the initial design stages. This study develops equations to predict the existing pile bending moment and deflection produced by adjacent braced excavations. Influential parameters (i.e., the excavation geometry, diaphragm wall thickness, pile geometry, strength and small-strain stiffness of the soil, and soft clay thickness) were considered and employed in the developed equations. It is practically unfeasible to obtain measurement data; hence, artificial data for the bending moment and deflection of existing piles were produced from well-calibrated numerical analyses of hypothetical cases, using the three-dimensional finite element method. The developed equations were established through a multiple linear regression analysis of the artificial data, using the transformation technique. In addition, the three-dimensional nature of the excavation work was characterized by considering the excavation corner effect, using the plane strain ratio parameter. The estimation results of the developed equations can provide satisfactory pile bending moment and deflection data and are more accurate than those found in previous studies.

Keywords： pile responses     excavation     prediction     deflection     bending moments    

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Title Author Date Type Operation

Trend detection and stochastic simulation prediction of streamflow at Yingluoxia hydrological station

Chenglong ZHANG,Mo LI,Ping GUO

Journal Article

Trend prediction technology of condition maintenance for large water injection units

Xiaoli XU, Sanpeng DENG

Journal Article

Allocation of grassland, livestock and arable based on the spatial and temporal analysis for food demand in China

Huilong LIN, Ruichao LI, Yifan LIU, Jingrong ZHANG, Jizhou REN

Journal Article

Innovation and Trend of Gears-Technology

Liang Guiming

Journal Article

Temporal trend of mortality from major cancers in Xuanwei, China

Hualiang Lin,Bofu Ning,Jihua Li,Guangqiang Zhao,Yunchao Huang,Linwei Tian

Journal Article

Detection of critical road roughness sections by trend analysis and investigation of driver speed interaction

Meltem SAPLIOGLU; Ayse UNAL; Melek BOCEK

Journal Article

Atomic and close-to-atomic scale manufacturing—A trend in manufacturing development

Fengzhou FANG

Journal Article

Innovation-driven trend shaping COVID-19 vaccine development in China

Journal Article

Globalization of R&D： New Trend of Economy Globalization

Zhang Yanzhong

Journal Article

Spatial prediction of soil contamination based on machine learning: a review

Journal Article

The development trend and practical innovation of smart cities under the integration of new technologies

Xiaohong CHEN

Journal Article

Hybrid deep learning model for risk prediction of fracture in patients with diabetes and osteoporosis

Journal Article

A study on the status quo, development trend and the innovation frontline of hydraulic and hydroelectric

Ma Hongqi

Journal Article

Position-varying surface roughness prediction method considering compensated acceleration in milling

Journal Article

Improved prediction of pile bending moment and deflection due to adjacent braced excavation

Journal Article