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Industrial Application of Artificial Intelligence in China: Current Status and Challenges

Xu Wenwei, Xiao Lizhi, Liu He

Strategic Study of CAE 2022, Volume 24, Issue 6,   Pages 173-183 doi: 10.15302/J-SSCAE-2022.07.010

Abstract: In the last decade, the AI industry has been spawned and developing rapidly.However, practice shows that the application of AI technology and algorithms in the industrial fieldcases of AI application, through which we analyze the current status, challenges, and their root causestechnologies that focus on full-stack AI, AI basic platform and tool system, and AI root technology,thus to improve the independence of China's AI core technologies.

Keywords： artificial intelligence (AI)     enterprise scenarios     intelligent solutions     application     full-stack AI     AI root technology    

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Ethical Principles and Governance Technology Development of AI in China Review

Wenjun Wu, Tiejun Huang, Ke Gong

Engineering 2020, Volume 6, Issue 3,   Pages 302-309 doi: 10.1016/j.eng.2019.12.015

Abstract: Ethics and governance are vital to the healthy and sustainable development of artificial intelligence (AIWith the long-term goal of keeping AI beneficial to human society, governments, research organizations, and companies in China have published ethical guidelines and principles for AI, and have launched projectsto develop AI governance technologies.It also describes the major research challenges in AI governance research and discusses future research

Keywords： AI ethical principles     AI governance technology     Machine learning     Privacy     Safety     Fairness    

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Alternate partial root-zone irrigation with high irrigation frequency improves root growth and reduces

Shaoqing DU, Ling TONG, Shaozhong KANG, Fusheng LI, Taisheng DU, Sien LI, Risheng DING

Frontiers of Agricultural Science and Engineering 2018, Volume 5, Issue 2,   Pages 188-196 doi: 10.15302/J-FASE-2017176

Abstract: Alternate partial root-zone irrigation (APRI) can improve water use efficiency in arid areas.show that in comparison with conventional irrigation, APRI with high frequency significantly increased rootA significantly positive relationship between stomatal conductance and root length density was foundOverall, alternate partial root-zone irrigation with high frequency has a great potential to promoteroot growth, expand water uptake capacity and reduce unproductive water loss in the arid apple production

Keywords： alternate partial root-zone irrigation     apple tree     leaf water use efficiency     root length density     stomatal    

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ROLE OF NITROGEN SENSING AND ITS INTEGRATIVE SIGNALING PATHWAYS IN SHAPING ROOT SYSTEM ARCHITECTURE

Frontiers of Agricultural Science and Engineering 2022, Volume 9, Issue 3,   Pages 316-332 doi: 10.15302/J-FASE-2022441

Abstract:

● The Green Revolution broadened the trade-off between yield and nitrogen-use efficiency.

Keywords： Nitrogen     root system architecture     phytohormone     crosstalk     nitrogen-use efficiency     breeding strategy    

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The evolution of surgical and medical treatment of aortic root aneurysm

Xu Yu Jin,Li Yuan,Mario Petrou,John R. Pepper

Frontiers of Medicine 2014, Volume 8, Issue 4,   Pages 427-432 doi: 10.1007/s11684-014-0385-4

Abstract:

Since first report of aortic root replacement in 1968, the surgical risk and long term outcome ofpatients with aortic root aneurysm have been continuously improving.

Keywords： aortic root aneurysm     aortic root replacement     valve sparing root replacement     personalised external aorticroot support    

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Effects of previous drying of sediment on root functional traits and rhizoperformance of emerged macrophytes

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 6, doi: 10.1007/s11783-021-1427-1

Abstract:

• Sediment desiccation alters morphological characteristics of aquatic sediment.

Keywords： Fibrous-root macrophytes     Thick-root macrophytes     Nutrients removal     Wet sediment     Dried-rewetted sediment    

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Optimizing hairy root production from explants of

Zhaogui YAN, Shengyu LIU, Junlian ZHANG, Guan HUANG, Lijun DUAN, Yaomei YE

Frontiers of Agricultural Science and Engineering 2020, Volume 7, Issue 4,   Pages 513-522 doi: 10.15302/J-FASE-2019272

Abstract: this species on a large scale, hairy roots in were induced using and various factors affecting hairy rootThe optimal protocol for hairy root induction and growth was: young shoots, pre-cultured in Y1 for 2

Keywords： hairy root induction     medicinal plant     MS growth medium     Phyllanthus hainanensis     Rhizobium rhizogenes    

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Improving the efficiency and effectiveness of global phosphorus use: focus on root and rhizosphere levels

Uwe LUDEWIG, Lixing YUAN, Günter NEUMANN

Frontiers of Agricultural Science and Engineering 2019, Volume 6, Issue 4,   Pages 357-365 doi: 10.15302/J-FASE-2019275

Abstract: In maize, studies on root architectural and morphological traits appear promising.

Keywords： acquisition efficiency     plant growth promoting rhizobacteria     phosphate     use efficiency     utilization efficiency    

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A knowledge reasoning Fuzzy-Bayesian network for root cause analysis of abnormal aluminum electrolysis

Weichao Yue, Xiaofang Chen, Weihua Gui, Yongfang Xie, Hongliang Zhang

Frontiers of Chemical Science and Engineering 2017, Volume 11, Issue 3,   Pages 414-428 doi: 10.1007/s11705-017-1663-x

Abstract: Root cause analysis (RCA) of abnormal aluminum electrolysis cell condition has long been a challengingtechnicians providing a clear and intuitive framework to this complex task, and also achieve the result of rootThe proposed method was verified under 20 sets of abnormal cell conditions, and implements root causeanalysis by finding the abnormal state of root node, which has a maximum posterior probability by Bayesian

Keywords： electrolysis cell condition     Fuzzy-Bayesian network     multi-source knowledge solidification and reasoning     root    

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Reduced texaphyrin: A ratiometric optical sensor for heavy metals in aqueous solution

Root, Gregory Thiabaud, Jonathan L. Sessler

Frontiers of Chemical Science and Engineering 2020, Volume 14, Issue 1,   Pages 19-27 doi: 10.1007/s11705-019-1888-y

Abstract: We report here a water-soluble metal cation sensor system based on the as-prepared or reduced form of an expanded porphyrin, texaphyrin. Upon metal complexation, a change in the redox state of the ligand occurs that is accompanied by a color change from red to green. Although long employed for synthesis in organic media, we have now found that this complexation-driven redox behavior may be used to achieve the naked eye detectable colorimetric sensing of several number of less-common metal ions in aqueous media. Exposure to In(III), Hg(II), Cd(II), Mn(II), Bi(III), Co(II), and Pb(II) cations leads to a colorimetric response within 10 min. This process is selective for Hg(II) under conditions of competitive analysis. Furthermore, among the subset of response-producing cations, In(III) proved unique in giving rise to a ratiometric change in the ligand-based fluorescence features, including an overall increase in intensity. The cation selectivity observed in aqueous media stands in contrast to what is seen in organic solvents, where a wide range of texaphyrin metal complexes may be prepared. The formation of metal cation complexes under the present aqueous conditions was confirmed by reversed phase high-performance liquid chromatography, ultra-violet-visible absorption and fluorescence spectroscopies, and high-resolution mass spectrometry.

Keywords： texaphyrin     fluorescent sensor     ion-sensing     indium     mercury    

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The Major Root Causes of Smog in China and Technologies and Solutions to Reduce It

Ke Liu

Frontiers of Engineering Management 2016, Volume 3, Issue 4,   Pages 343-348 doi: 10.15302/J-FEM-2016053

Abstract: This paper discusses the two major root causes of smog in China.

Keywords： smog     emissions     coal refining     coal utilization     solutions    

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Platform governance in the era of AI and the digital economy

Frontiers of Engineering Management 2023, Volume 10, Issue 1,   Pages 177-182 doi: 10.1007/s42524-022-0241-1

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Development Strategy for the Core Software and Hardware of Artificial Intelligence in China

Gao Lei, Fu Yongquan, Li Dongsheng, Liao Xiangke

Strategic Study of CAE 2021, Volume 23, Issue 3,   Pages 90-97 doi: 10.15302/J-SSCAE-2021.03.008

Abstract:

Artificial intelligence (AI) is an important enabling technology forfrom the aspects of technology, industry, and policy, and analyze the problems faced by China’Subsequently, we present the development ideas of China’s AI hardware and software technology andcore hardware, AI core software, and AI-related basic technology.for science and technology innovation to acquire increased scientific research investment; AI open

Keywords： artificial intelligence (AI)     core software and hardware     AI chip     basic intelligent algorithm     new enablingtechnology    

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Bridging the gap: Neuro-Symbolic Computing for advanced AI applications in construction

Frontiers of Engineering Management   Pages 727-735 doi: 10.1007/s42524-023-0266-0

Abstract: Deep Learning (DL) has revolutionized the field of Artificial Intelligence (AI) in various domains suchNSC has the potential to enable more robust, interpretable, and accurate AI systems in construction by

Keywords： advanced AI in construction     safety and quality inspection     Neuro-Symbolic Computing     Deep Learning    

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INTERFERENCE BY NON-HOST PLANT ROOTS AND ROOT EXUDATES IN THE INFECTION PROCESSES OF PHYTOPHTHORA NICOTIANAE

Frontiers of Agricultural Science and Engineering 2021, Volume 8, Issue 3,   Pages 447-459 doi: 10.15302/J-FASE-2021399

Abstract: Interactions between fennel (Foeniculum vulgare) roots/root exudates and Phytophthora

Keywords： fennel and tobacco rotation     infection behavior     Phytophthora nicotianae     reactive oxygen species     vanillin    

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Title Author Date Type Operation

Industrial Application of Artificial Intelligence in China: Current Status and Challenges

Xu Wenwei, Xiao Lizhi, Liu He

Journal Article

Ethical Principles and Governance Technology Development of AI in China

Wenjun Wu, Tiejun Huang, Ke Gong

Journal Article

Alternate partial root-zone irrigation with high irrigation frequency improves root growth and reduces

Shaoqing DU, Ling TONG, Shaozhong KANG, Fusheng LI, Taisheng DU, Sien LI, Risheng DING

Journal Article

ROLE OF NITROGEN SENSING AND ITS INTEGRATIVE SIGNALING PATHWAYS IN SHAPING ROOT SYSTEM ARCHITECTURE

Journal Article

The evolution of surgical and medical treatment of aortic root aneurysm

Xu Yu Jin,Li Yuan,Mario Petrou,John R. Pepper

Journal Article

Effects of previous drying of sediment on root functional traits and rhizoperformance of emerged macrophytes

Journal Article

Optimizing hairy root production from explants of

Zhaogui YAN, Shengyu LIU, Junlian ZHANG, Guan HUANG, Lijun DUAN, Yaomei YE

Journal Article

Improving the efficiency and effectiveness of global phosphorus use: focus on root and rhizosphere levels

Uwe LUDEWIG, Lixing YUAN, Günter NEUMANN

Journal Article

A knowledge reasoning Fuzzy-Bayesian network for root cause analysis of abnormal aluminum electrolysis

Weichao Yue, Xiaofang Chen, Weihua Gui, Yongfang Xie, Hongliang Zhang

Journal Article

Reduced texaphyrin: A ratiometric optical sensor for heavy metals in aqueous solution

Root, Gregory Thiabaud, Jonathan L. Sessler

Journal Article

The Major Root Causes of Smog in China and Technologies and Solutions to Reduce It

Ke Liu

Journal Article

Platform governance in the era of AI and the digital economy

Journal Article

Development Strategy for the Core Software and Hardware of Artificial Intelligence in China

Gao Lei, Fu Yongquan, Li Dongsheng, Liao Xiangke

Journal Article

Bridging the gap: Neuro-Symbolic Computing for advanced AI applications in construction

Journal Article

INTERFERENCE BY NON-HOST PLANT ROOTS AND ROOT EXUDATES IN THE INFECTION PROCESSES OF PHYTOPHTHORA NICOTIANAE

Journal Article