• Carbon Price
    • Jianguo Zhou
    • Jianguo Zhou: Influence Statistics

      Jianguo Zhou

      Jianguo Zhou

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      North China Electric Power University | Department of General Surgery, Linping Campus, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, ...

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      Jianguo Zhou:Expert Impact

      Concepts for whichJianguo Zhouhas direct influence:Carbon price,Extreme learning machine,Immune subtypes,Carbon emission,Chloroplast genome,Carbon emissions,Sparrow search algorithm,Body iron status.

      Jianguo Zhou:KOL impact

      Concepts related to the work of other authors for whichfor which Jianguo Zhou has influence:Carbon price,Gestational diabetes,Activity coefficients,Signal strength,Iron status,Node localization,Extreme learning machine.

      KOL Resume for Jianguo Zhou


      North China Electric Power University

      Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China


      Software School of Yunnan University, Kunming, China

      Department of Radiation Oncology, Universitätsklinikum Erlangen, Erlangen, Germany


      School of Environment, Henan Normal University, Key Laboratory of Yellow River and Huai River Water Environment and Pollution Control, Xinxiang 453007, China


      School of Electronic Information, Wuhan University, Wuhan, China


      School of Economics and Management, North China Electric Power University, Baoding, Hebei, China


      Department of General Surgery, Shanghai Sijing Hospital, 389 Sitong Road, 201601, Shanghai, China


      Sch. of Geodesy & Geomatics, Wuhan Univ., Wuhan, China


      North China Electric Power University, No.689 Huadian Road, Baoding, Hebei province, China, 071003


      Henan Key Laboratory for Environmental Pollution Control, Key Laboratory of Green Chemical Media and Reactions, Ministry of Education, School of Chemical and Environmental Sciences, Henan Normal University, 453007, Xinxiang, China


      Department of Orthopaedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430022, Wuhan, China


      Depart. of Computer Science, University of Leicester, LE1 7RH, Leicester, UK


      Department of Mathematics, Nanjing University Nanjing 210093, P.R. China


      Department of Chemistry, Henan Normal Univeristy, Xinxiang, Henan 453002, People's Republic of China

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      Sample of concepts for which Jianguo Zhou is among the top experts in the world.
      Concept World rank
      secondary decomposition elm #1
      bes elm #1
      decomposed subsection #1
      proposed model performer #1
      bes ceemdan #1
      mechanism carbon emissions #1
      elm bes #1
      vmd bes #1
      ceemdanvmd beselm #1
      ceemdan utilized #1
      imf1 strongest volatility #1
      constraint carbon intensity #2
      edges sparsest graph #4
      pacf elm #4
      27815−31815 #5
      denitration technology #6
      agcl−ag #6
      pathloss model parameters #7
      strongest volatility #8
      carbon price paper #11
      carbon price series #11
      carbon price prediction #15
      vertices broadcasting #15
      immune subtypes glioma #15
      price intrinsic #17
      ferritin gdm #18
      forecasting carbon price #19
      sparsest graph #20
      ceemdan vmd #20
      carbon price data #22
      patients immune subtypes #22
      bes algorithm #25
      vmd ssa #26
      price secondary #27
      trio expression #27
      glioma mrna #28
      improved ceemdan #29
      decomposition extreme #30
      hcl glucose #33
      expression trio #34
      framework ddos #35
      sparrow search algorithm #36
      proposed combination model #37
      esmd method #37
      29815 comparison #38
      innovative hybrid model #39
      optimized elm #39
      elm improved #46
      carbon trading prices #47
      function pacf #47
      Sign-in to see all concepts, it's free!

      Prominent publications by Jianguo Zhou

      KOL-Index: 9758

      Biological and epidemiological evidence have found that gestational diabetes mellitus (GDM) may be correlated with body iron status and dietary iron intake. Therefore, we investigated the relationship between dietary iron intake and body iron status and GDM risk.We conducted a systematic search in Embase, PubMed, Web of Science, and Cochrane Library up to April 2015. Prospective cohort studies or case-control studies which appraised the relationship between body iron status, dietary iron ...

      Known for Iron Intake | Serum Ferritin | Gdm Risk | Gestational Diabetes | Casecontrol Studies
      KOL-Index: 8349

      Triple functional domain protein (TRIO) is an evolutionarily conserved Dbl family guanine nucleotide exchange factors (GEFs) involved in cell proliferation and progression of some types of cancer. However, the expression and prognostic role of TRIO in hepatocellular carcinoma (HCC) have not yet been determined. Therefore, we attempted to determine the impact of TRIO on the clinical outcome of HCC patients to further identify its role in HCC. TRIO expression was examined using ...

      Known for Hepatocellular Carcinoma | Trio Expression | Cell Proliferation | Hcc Tissues | Guanine Nucleotide
      KOL-Index: 6843

      Due to the nonlinear and non-stationary characteristics of the carbon price, it is difficult to predict the carbon price accurately. This paper proposes a new novel hybrid model for carbon price prediction. The proposed model consists of an extreme-point symmetric mode decomposition, an extreme learning machine, and a grey wolf optimizer algorithm. Firstly, the extreme-point symmetric mode decomposition is employed to decompose the carbon price into several intrinsic mode functions and ...

      Known for Carbon Price | Extreme Learning Machine | Intrinsic Functions | Input Variables | Wolf Optimizer
      KOL-Index: 6431

      Background: Nowadays, researchers are leveraging the mRNA-based vaccine technology used to develop personalized immunotherapy for cancer. However, its application against glioma is still in its infancy. In this study, the applicable candidates were excavated for mRNA vaccine treatment in the perspective of immune regulation, and suitable glioma recipients with corresponding immune subtypes were further investigated.

      Methods: The RNA-seq data and clinical information of 702 and 325 ...

      Known for Immune Subtypes | Mrna Vaccine | Tumor Antigens | Glioma Identified | Brain Neoplasms
      KOL-Index: 6358

      While software defined network (SDN) brings more innovation to the development of future networks, it also faces a more severe threat from DDoS attacks. In order to deal with the single point of failure on SDN controller caused by DDoS attacks, we propose a framework for detection and defense of DDoS attacks in the SDN environment. Firstly, we deploy a trigger mechanism of DDoS attack detection on data plane to screen for abnormal flows in the network. Then, we use a combined machine ...

      Known for Sdn Environment | Ddos Attack Detection | Data Plane | Software Defined Network | Single Point
      KOL-Index: 6213

      As the the major functional component of Paeonia suffruticosa, paeonol (PAE) has shown its potential to inhibit the progression of multiple cancer types. In the current study, the mechanism driving the effect of PAE on osteosarcoma (OS) was investigated by focusing on its influence on TLR4-mediated MAPK/NF-κB pathway. Human OS cells were firstly administrated with PAE of different concentrations to assess its effect on the proliferation, apoptosis, metastasis, and TLR4/MAPK/NF-κB pathway ...

      Known for Κb Pathway | Human Cells | Proliferation Apoptosis | Paeonol Pae | Inhibited Expression
      KOL-Index: 5804

      With the official launch of China’s national unified carbon trading system (ETS) in 2017, it has played an increasingly important role in controlling the growth of carbon dioxide emissions. One of the core issues in carbon trading is the allocation of initial carbon emissions permits. Since the industry emits the largest amount of carbon dioxide in China, a study on the allocation of carbon emission permits among China’s industrial sectors is necessary to promote industry carbon ...

      Known for Carbon Intensity | Sectors China | Core Issues | Emission Reduction | Analysis Dea
      KOL-Index: 4554

      Electromotive forces of cells without liquid-junction Pt, H2(g, p°)|HCl(m E)|AgCl−Ag and Pt, H2(g, p°)|HCl(m E),G(m N)|AgCl−Ag, have been measured at 10 K intervals from 278.15 to 318.15 K, where G refers to d-glucose, m E = 0.005−0.1 mol kg-1, and m N = 0.1−0.3 mol kg-1. The thermodynamic parameters of interaction, f EN (g EN, h EN, s EN c p ,EN), of G with HCl in water have been evaluated. It appears that g EN > 0, h EN > 0, Ts EN > 0, and c p ,EN < 0 at all five temperatures (except ...

      Known for Hcl Water | Interaction Parameters | Increasing Temperature | Electromotive Forces | 10 Intervals
      KOL-Index: 4517

      The nonlinear and non-stationary nature of wind power creates a difficult challenge for the stable operation of the power system when it accesses the grid. Improving the prediction accuracy of short-term wind power is beneficial to the power system dispatching department in formulating a power generation plan, reducing the rotation reserve capacity and improving the safety and reliability of the power grid operation. This paper has constructed a new hybrid model, named the ESMD-PSO-ELM ...

      Known for Extreme Learning Machine | Term Wind | Hybrid Model | Predictive Performance | Prediction Accuracy
      KOL-Index: 3125

      Activated biochar (A-BC550) that was prepared by salt-sealing pyrolysis (at 550 °C) and coupled with NaOH treatment was used to remove cadmium (II) from an aqueous solution. The FTIR spectroscopy and XPS analysis showed that the content of carboxyl and methoxy (CH3 O) groups was increased by the NaOH impregnation that occurred before pyrolysis. The complexation and precipitation that occurred played a leading role in the subsequent adsorption. Adsorption occurred on the surface of the ...

      Known for Naoh Treatment | Biochar Adsorption | Aqueous Solution | Ftir Spectroscopy | Isotherm Model
      KOL-Index: 3022

      In this letter we present a novel method for source node localization using received signal strength in situations where path-loss model parameters are unknown. First, a ratio approach is used to eliminate the transmitting power uncertainty, then, combined with a search method for path-loss exponent under certain constraints, linear least squares is utilized to determine the location of the source node. Simulations are used to demonstrate the feasibility and suitability of the proposed ...

      Known for Source Localization | Model Parameters | Signal Strength | Path Loss | Linear Squares
      KOL-Index: 2860

      This paper utilizes the generalized Fisher index (GFI) to decompose the factors of carbon emission and exploits improved particle swarm optimization-back propagation (IPSO-BP) neural network modelling to predict the primary energy consumption CO2 emissions in different scenarios of Beijing-Tianjin-Hebei region. The results show that (1) the main factors that affect the region are economic factors, followed by population size. On the contrary, the factors that mainly inhibit the carbon ...

      Known for Carbon Emissions | Energy Intensity | Beijingtianjinhebei Region | Tianjin Hebei
      KOL-Index: 2824

      Carbon emission reduction is now a global issue, and the prediction of carbon trading market prices is an important means of reducing emissions. This paper innovatively proposes a second decomposition carbon price prediction model based on the nuclear extreme learning machine optimized by the Sparrow search algorithm and considers the structural and nonstructural influencing factors in the model. Firstly, empirical mode decomposition (EMD) is used to decompose the carbon price data and ...

      Known for Carbon Price | Sparrow Search Algorithm | Variational Decomposition | Extreme Learning Machine | Emission Reduction
      KOL-Index: 2526

      The randomness and volatility of wind power poses a serious threat to the stability, continuity, and adjustability of the power system when it is connected to the grid. Accurate short-term wind power prediction methods have important practical value for achieving high-precision prediction of wind farm power generation and safety and economic dispatch. Therefore, this paper proposes a novel combined model to improve the accuracy of short-term wind power prediction, which involves grey ...

      Known for Forecasting Models | Artificial Neural Networks | Wind Speed | Esmd Method | Point Symmetric

      Key People For Carbon Price

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      North China Electric Power University | Department of General Surgery, Linping Campus, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China. | Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union

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