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Ground-to-Air Radar Jamming Syste——Functions in Current Local Conflict and Its Development Trend

Zhang Xixiang

Strategic Study of CAE 2000, Volume 2, Issue 7,   Pages 55-65

Abstract:

The paper notes that in 2 current conflicts in 1990s, the intruders won the wars with very lowIt has both defensive and offensive functions with its 3D jamming capabilities.

Keywords： ground-to-air jamming system     functions in current conflict     development trend    

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The Detonation and Resoluble Architecture of Conflict Management in Collaborative Environment

Wang Chonghai,Hao Yongping,Zhang Deyu

Strategic Study of CAE 2002, Volume 4, Issue 4,   Pages 83-85

Abstract: Meanwhile, this also increases the incidence of conflict.In this paper, through analyzing the present conflict management, its origin and the whole architectureand the topology of conflict management are described.Furthermore, the authors discusse the managed hierarchy and tri-layer service architecture of conflictThis offers the technological support to manage conflict problems in Web-based collaborative environment

Keywords： CSCW     conflict     conflict management    

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Corrigendum to “High-Speed Railway Train Timetable Conflict Prediction Based on Fuzzy Temporal

He Zhuang, Liping Feng, Chao Wen, Qiyuan Peng, Qizhi Tang

Engineering 2017, Volume 3, Issue 1,   Pages 150-150 doi: 10.1016/J.ENG.2017.01.002

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High-Speed Railway Train Timetable Conflict Prediction Based on Fuzzy Temporal Knowledge Reasoning

He Zhuang, Liping Feng, Chao Wen, Qiyuan Peng, Qizhi Tang

Engineering 2016, Volume 2, Issue 3,   Pages 366-373 doi: 10.1016/J.ENG.2016.03.019

Abstract: Therefore, reliable conflict prediction results can be valuable references for dispatchers in makingIn contrast to the traditional approach to conflict prediction that involves introducing random disturbancesTo measure conflict prediction results more comprehensively, we divided conflicts into potential conflictsBased on the temporal fuzzy reasoning method, with some adjustment, a new conflict prediction methodThe results prove that conflict prediction after fuzzy processing of the time intervals of a train timetable

Keywords： High-speed railway     Train timetable     Conflict prediction     Fuzzy temporal knowledge reasoning    

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Research of Refinement Methods of Dynamic Model Based on Frequency Response Functions

Zhu Dangdang,Feng Yaoqi,Xiang Shuhong

Strategic Study of CAE 2005, Volume 7, Issue 8,   Pages 89-94

Abstract: dynamic model improvement methods, and researched the refinement methods based on frequency and response functionsIn order to make the full use of the frequency and response functions obtained in the vibration test,the paper introduced three dynamic model improvement methods with frequency and response functions such

Keywords： spacecraft     dynamics     frequency and response functions     model refinement    

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Silica-based nanoarchitecture for an optimal combination of photothermal and chemodynamic therapy functions

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 12,   Pages 2144-2155 doi: 10.1007/s11705-023-2362-4

Abstract: This study introduces multifunctional silica nanoparticles that exhibit both high photothermal and chemodynamic therapeutic activities, in addition to luminescence. The activity of the silica nanoparticles is derived from their plasmonic properties, which are a result of infusing the silica nanoparticles with multiple Cu2–xS cores. This infusion process is facilitated by a recoating of the silica nanoparticles with a cationic surfactant. The key factors that enable the internal incorporation of the Cu2–xS cores and the external deposition of red-emitting carbon dots are identified. The Cu2–xS cores within the silica nanoparticles exhibit both self-boosting generation of reactive oxygen species and high photothermal conversion efficacy, which are essential for photothermal and chemodynamic activities. The silica nanoparticles’ small size (no more than 70 nm) and high colloidal stability are prerequisites for their cell internalization. The internalization of the red-emitting silica nanoparticles within cells is visualized using fluorescence microscopy techniques. The chemodynamic activity of the silica nanoparticles is associated with their dark cytotoxicity, and the mechanisms of cell death are evaluated using an apoptotic assay. The photothermal activity of the silica nanoparticles is demonstrated by significant cell death under near-infrared (1064 nm) irradiation.

Keywords： copper sulfide nanoparticles     chemodynamic therapy     photothermal therapy     carbon dots     silica nanoparticles    

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Potential functions of esophageal cancer-related gene-4 in the cardiovascular system

Rui Zhou, Yuanshu Liu, Wenjun Huang, Xitong Dang

Frontiers of Medicine 2019, Volume 13, Issue 6,   Pages 639-645 doi: 10.1007/s11684-019-0701-0

Abstract: carotid body, adrenal glands, choroid plexus, and leukocytes among others, where it exerts distinct functions

Keywords： tumor suppressor gene     esophageal cancer-related gene-4     cardiovascular disease     hypoxia    

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Long noncoding RNA LOC646029 functions as a ceRNA to suppress ovarian cancer progression through the

Frontiers of Medicine   Pages 924-938 doi: 10.1007/s11684-023-1004-z

Abstract: In the current study, the lncRNA LOC646029 was markedly downregulated in metastatic ovarian tumors compared

Keywords： ovarian cancer     lncRNA LOC646029     metastasis     microRNA 627-3p     SPRED1    

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The use of Artificial Neural Networks to estimate seismic damage and derive vulnerability functions for

Tiago Miguel FERREIRA, João ESTÊVÃO, Rui MAIO, Romeu VICENTE

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 3,   Pages 609-622 doi: 10.1007/s11709-020-0623-6

Abstract: This paper discusses the adoption of Artificial Intelligence-based techniques to estimate seismic damage, not with the goal of replacing existing approaches, but as a mean to improve the precision of empirical methods. For such, damage data collected in the aftermath of the 1998 Azores earthquake (Portugal) is used to develop a comparative analysis between damage grades obtained resorting to a classic damage formulation and an innovative approach based on Artificial Neural Networks (ANNs). The analysis is carried out on the basis of a vulnerability index computed with a hybrid seismic vulnerability assessment methodology, which is subsequently used as input to both approaches. The results obtained are then compared with real post-earthquake damage observation and critically discussed taking into account the level of adjustment achieved by each approach. Finally, a computer routine that uses the ANN as an approximation function is developed and applied to derive a new vulnerability curve expression. In general terms, the ANN developed in this study allowed to obtain much better approximations than those achieved with the original vulnerability approach, which has revealed to be quite non-conservative. Similarly, the proposed vulnerability curve expression was found to provide a more accurate damage prediction than the traditional analytical expressions.

Keywords： Artificial Neural Networks     seismic vulnerability     masonry buildings     damage estimation     vulnerability curves    

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Enhancement of the polynomial functions response surface model for real-time analyzing ozone sensitivity

Jiangbo Jin, Yun Zhu, Jicheng Jang, Shuxiao Wang, Jia Xing, Pen-Chi Chiang, Shaojia Fan, Shicheng Long

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 2, doi: 10.1007/s11783-020-1323-0

Abstract: An Enhanced polynomial functions Response Surface Model (Epf-RSM) with the capability to analyze O3-NOx-VOCSeveral comparisons between Epf-RSM and pf-ERSM (polynomial functions based ERSM) were performed using

Keywords： Response surface model     Hill-climbing algorithm     Ozone pollution     Precursor emissions     Control strategy    

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Physiological functions and clinical implications of the N-end rule pathway

Yujiao Liu,Chao Liu,Wen Dong,Wei Li

Frontiers of Medicine 2016, Volume 10, Issue 3,   Pages 258-270 doi: 10.1007/s11684-016-0458-7

Abstract: The molecular basis of the N-end rule pathway has been elucidated and its physiological functions haveThis review summarized the physiological functions of the N-end rule pathway, introduced the related

Keywords： N-end rule pathway     Ate1     cardiovascular development     neurogenesis     spermatogenesis     neurodegenerative disorders     Johanson–Blizzard syndrome    

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Evidence for lung repair and regeneration in humans: key stem cells and therapeutic functions of fibroblast

Xuran Chu, Chengshui Chen, Chaolei Chen, Jin-San Zhang, Saverio Bellusci, Xiaokun Li

Frontiers of Medicine 2020, Volume 14, Issue 3,   Pages 262-272 doi: 10.1007/s11684-019-0717-5

Abstract: Regeneration carries the idea of regrowing partially or completely a missing organ. Repair, on the other hand, allows restoring the function of an existing but failing organ. The recognition that human lungs can both repair and regenerate is quite novel, the concept has not been widely used to treat patients. We present evidence that the human adult lung does repair and regenerate and introduce different ways to harness this power. Various types of lung stem cells are capable of proliferating and differentiating upon injury driving the repair/regeneration process. Injury models, primarily in mice, combined with lineage tracing studies, have allowed the identification of these important cells. Some of these cells, such as basal cells, broncho-alveolar stem cells, and alveolar type 2 cells, rely on fibroblast growth factor (FGF) signaling for their survival, proliferation and/or differentiation. While pre-clinical studies have shown the therapeutic benefits of FGFs, a recent clinical trial for acute respiratory distress syndrome (ARDS) using intravenous injection of FGF7 did not report the expected beneficial effects. We discuss the potential reasons for these negative results and propose the rationale for new approaches for future clinical trials, such as delivery of FGFs to the damaged lungs through efficient inhalation systems, which may be more promising than systemic exposure to FGFs. While this change in the administration route presents a challenge, the therapeutic promises displayed by FGFs are worth the effort.

Keywords： FGF     human lung     repair     regeneration     stem cells    

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Identifying subassemblies and understanding their functions during a design review in immersive and non-immersive

Fanika LUKAČEVIĆ, Stanko ŠKEC, Peter TÖRLIND, Mario ŠTORGAL

Frontiers of Engineering Management 2021, Volume 8, Issue 3,   Pages 412-428 doi: 10.1007/s42524-020-0099-z

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A Fault Location Approach for the Testable Realization of Logic Functions

Pan Zhongliang

Strategic Study of CAE 2002, Volume 4, Issue 1,   Pages 69-74

Abstract:

An approach of design for testability(DFT) for logic functions is presented in the paper, which employsAND gates and XOR gates tree to realize the generalized Reed-Muller expression of arbitrary logic functions

Keywords： logic functions     Reed-Muller expressions     design for testability     single stuck at fault     faults location    

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Effect of current density on groundwater arsenite removal performance using air cathode electrocoagulation

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 6, doi: 10.1007/s11783-021-1399-1

Abstract:

• With the same charge, current density had little effect on As(III)

Keywords： Electrocoagulation     Air cathode     Arsenic     Current density     Energy consumption    

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Title Author Date Type Operation

Ground-to-Air Radar Jamming Syste——Functions in Current Local Conflict and Its Development Trend

Zhang Xixiang

Journal Article

The Detonation and Resoluble Architecture of Conflict Management in Collaborative Environment

Wang Chonghai,Hao Yongping,Zhang Deyu

Journal Article

Corrigendum to “High-Speed Railway Train Timetable Conflict Prediction Based on Fuzzy Temporal

He Zhuang, Liping Feng, Chao Wen, Qiyuan Peng, Qizhi Tang

Journal Article

High-Speed Railway Train Timetable Conflict Prediction Based on Fuzzy Temporal Knowledge Reasoning

He Zhuang, Liping Feng, Chao Wen, Qiyuan Peng, Qizhi Tang

Journal Article

Research of Refinement Methods of Dynamic Model Based on Frequency Response Functions

Zhu Dangdang,Feng Yaoqi,Xiang Shuhong

Journal Article

Silica-based nanoarchitecture for an optimal combination of photothermal and chemodynamic therapy functions

Journal Article

Potential functions of esophageal cancer-related gene-4 in the cardiovascular system

Rui Zhou, Yuanshu Liu, Wenjun Huang, Xitong Dang

Journal Article

Long noncoding RNA LOC646029 functions as a ceRNA to suppress ovarian cancer progression through the

Journal Article

The use of Artificial Neural Networks to estimate seismic damage and derive vulnerability functions for

Tiago Miguel FERREIRA, João ESTÊVÃO, Rui MAIO, Romeu VICENTE

Journal Article

Enhancement of the polynomial functions response surface model for real-time analyzing ozone sensitivity

Jiangbo Jin, Yun Zhu, Jicheng Jang, Shuxiao Wang, Jia Xing, Pen-Chi Chiang, Shaojia Fan, Shicheng Long

Journal Article

Physiological functions and clinical implications of the N-end rule pathway

Yujiao Liu,Chao Liu,Wen Dong,Wei Li

Journal Article

Evidence for lung repair and regeneration in humans: key stem cells and therapeutic functions of fibroblast

Xuran Chu, Chengshui Chen, Chaolei Chen, Jin-San Zhang, Saverio Bellusci, Xiaokun Li

Journal Article

Identifying subassemblies and understanding their functions during a design review in immersive and non-immersive

Fanika LUKAČEVIĆ, Stanko ŠKEC, Peter TÖRLIND, Mario ŠTORGAL

Journal Article

A Fault Location Approach for the Testable Realization of Logic Functions

Pan Zhongliang

Journal Article

Effect of current density on groundwater arsenite removal performance using air cathode electrocoagulation

Journal Article