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RETRACTED ARTICLE: Monitoring of mountain ecological environment based on Bayesian estimation and testing of motor memory function in mice

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This article was retracted on 03 November 2021

An Editorial Expression of Concern to this article was published on 28 September 2021

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Abstract

In this paper, the Bayesian estimation method is used to estimate the coefficients of wavelet transform to reconstruct the desired signal and reduce the noise. Using SNR and RMS error as noise reduction estimation indexes, we compare Bayesian estimation algorithm and global threshold algorithm, which improves the shortcomings of threshold algorithm and adaptive threshold algorithm. According to Bayesian estimation, according to the geological vulnerability characteristics of the mountain ecological environment, the geological change and its promotion mechanism of the mountain environment are selected. The paper analyzes the influence of LUCC remote sensing monitoring and dynamic changes, such as rainfall erosion and topography, and the influence of individual natural management factors, and analyzes the propulsion effect of nearby residential areas. It combines natural management with artificial management, and discusses deeply in various aspects, including the assessment and analysis of environmental geological vulnerability, and obtains relevant research results. This paper studies the function of motor memory in mice experimental model, and provides experimental basis for PD treatment in GTP. The methods were 25-30g male mice were randomly divided into normal group, control group, low dose GTP group, and high dose GTP group. After modeling mice in the control group, low dose GTP group, and high dose GTP group, climbing bar, and other experiments were carried out to detect. By studying Bayesian estimation and mountain ecological environment monitoring, it was applied to the detection of motor memory function in mice, which promoted the development of motor memory function.

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References

  • Akpan AE, Ugbaja AN, George NJ (2013) Integrated geophysical, geochemical and hydrogeological investigation of shallow groundwater resources in parts of the Ikom-Mamfe Embayment and the adjoining areas in Cross River State. Nigeria Environmental Earth Sciences 70:1435–1456. https://doi.org/10.1007/s12665-013-2232-3

    Article  Google Scholar 

  • Batayneh AT (2009) A hydrogeophysical model of the relationship between geoelectric and hydraulic parameters, Central Jordan. J Water Resour Prot 1:400–407. https://doi.org/10.4236/jwarp.2009.16048

    Article  Google Scholar 

  • Batayneh A, Eslam Elawadi, Haider Zaman, Ahmed A. Al-Taani, Yousef Nazzal, Habes Ghrefat (2014a) Environmental assessment of the Gulf of Aqaba Coastal Surface Waters, Saudi Arabia. J Coast Res 30(2):283–290

  • Batayneh A, Zaman H, Zumlot T, Ghrefat H, Mogren S, Nazzal Y, Elawadi E, Qaisy S, Bahkaly I, Al-Taani A (2014b) Hydrochemical facies and ionic ratios of the coastal groundwater aquifer of Saudi Gulf of Aqaba: implication for seawater intrusion. J Coast Res 30(1):75–87

    Google Scholar 

  • Corwin RF (1990) The self-potential method for environmental and engineering applications, in geotechnical and environmental geophysics, Vol I: Review and Tutorial, (Ward, S.H. ed), Society of Exploration Geophysics, 127-146

  • Dias CA (2000) Developments in a model to describe low-frequency electrical polarization of rocks. Geophysics 65:43–451

    Article  Google Scholar 

  • Kalyani P, Sharma AK (2013) Analysis on the factors affecting resistance of the earth electrode. International Journal of Engineering Research & Technology 2(5):1304–1307

    Google Scholar 

  • Karim HH, Al-dami HAN (2012) GPR data simulation for detecting subsurface bodies. Eng Tech J 30(15):2678–2693

    Google Scholar 

  • Kaszás-Lažetić K, Herceg D, Djurić N, Prša M (2015) Determining low- frequency earth return impedance: a consistent electromagnetic approach. Acta Polytechnica Hungarica 12(5):225–244

    Google Scholar 

  • Kruschwitz S, Binley A, Lesmes D, Elshenawy A (2010) Textural controls on low- frequency spectra of porous media. Geophysics 75:113–123. https://doi.org/10.1190/1.3479835

    Article  Google Scholar 

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Correspondence to Yong Wang.

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Responsible Editor: Sheldon Williamson

This article is part of the Topical Collection on Environment and Low Carbon Transportation

This article has been retracted. Please see the retraction notice for more detail: https://doi.org/10.1007/s12517-021-08787-5"

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Liu, Y., Wang, Y. RETRACTED ARTICLE: Monitoring of mountain ecological environment based on Bayesian estimation and testing of motor memory function in mice. Arab J Geosci 14, 1754 (2021). https://doi.org/10.1007/s12517-021-08080-5

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  • DOI: https://doi.org/10.1007/s12517-021-08080-5

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