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      Construction of Resource Ecological Compensation Mechanism Model under Rural Leisure Sports Environment

      research-article
      1 , , 2
      Journal of Environmental and Public Health
      Hindawi

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          Abstract

          In order to solve the problem of resource ecological compensation, this paper proposed a model of resource ecological compensation mechanism based on a rural leisure sports environment. The model is carried out in many places in China. The survey data involves 31 provinces, 10 years, and 43 indicators, with a total of 43 × 10 × 31 = 13,330 data. The preliminary basis of mechanism construction is summarized from four aspects. Finally, make full use of modern information technology to improve the network platform of the compensation mechanism, promote the efficient allocation and comprehensive utilization of ecotourism resources, and lay a solid foundation for establishing a reasonable and perfect resource ecological compensation mechanism and ensuring the long-term and stable operation of the mechanism. Through the experiment, it is found that the timely and effective publication of information can eliminate the inner estrangement between the two sides, so as to make the behavior of both sides more rational. A special information feedback department is established to deal with the opinions put forward by all compensation parties in tourism development, extract effective information, summarize and publish reasonable guidance information, and guide the compensation of both sides to an ideal balance through the feedback of this information. The effectiveness of the experiment is verified.

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          Most cited references28

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          The mechanism of enriched environment repairing the learning and memory impairment in offspring of prenatal stress by regulating the expression of activity-regulated cytoskeletal-associated and insulin-like growth factor-2 in hippocampus

          Background Prenatal stress can cause neurobiological and behavioral defects in offspring; environmental factors play a crucial role in regulating the development of brain and behavioral; this study was designed to test and verify whether an enriched environment can repair learning and memory impairment in offspring rats induced by prenatal stress and to explore its mechanism involving the expression of insulin-like growth factor-2 (IGF-2) and activity-regulated cytoskeletal-associated protein (Arc) in the hippocampus of the offspring. Methods Rats were selected to establish a chronic unpredictable mild stress (CUMS) model during pregnancy. Offspring were weaned on 21st day and housed under either standard or an enriched environment. The learning and memory ability were tested using Morris water maze and Y-maze. The expression of IGF-2 and Arc mRNA and protein were respectively measured by using RT-PCR and Western blotting. Results There was an elevation in the plasma corticosterone level of rat model of maternal chronic stress during pregnancy. Maternal stress’s offspring exposed to an enriched environment could decrease their plasma corticosterone level and improve their weight. The offspring of maternal stress during pregnancy exhibited abnormalities in Morris water maze and Y-maze, which were improved in an enriched environment. The expression of IGF-2, Arc mRNA, and protein in offspring of maternal stress during pregnancy was boosted and some relationships existed between these parameters after being exposed enriched environment. Conclusions The learning and memory impairment in offspring of prenatal stress can be rectified by the enriched environment, the mechanism of which is related to the decreasing plasma corticosterone and increasing hippocampal IGF-2 and Arc of offspring rats following maternal chronic stress during pregnancy.
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            Ecological Compensation Method for Soil Polluted by Heavy Metals Based on Internet of Things

            ABSTRACT The traditional ecological compensation method for soil pollution by heavy metals is complicated. It consumes a lot of human and material resources and cannot quickly meet real-life needs. This study takes an area where heavy metals pollute the soil. Increasing soil retention in this area is the target for ecological compensation, and the method is based on the internet of things. Users' willingness to participate in the land heavy metal pollution control project was studied, and the pollution degree was calculated. The area was linked to the internet tools according to the agreement, and the information exchange was carried out through information-sensing equipment of radio frequency identification. This process provided the basis for the ecological compensation standard of soil heavy metal pollution area. According to the content, changing trend, and characteristics of pollutants in the study area, the best forest species were selected for this area. The soil retention was increased to the maximum extent to realize the ecological compensation to the area polluted by heavy metals. The final results show that the ecological compensation method for soil contaminated with heavy metals based on the internet of things is cost-effective and has excellent feasibility, which can be the essential means for sustainable development of ecological construction.
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              Dispute Resolution and Litigation in PPP Road Projects: Evidence from Select Cases

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                Author and article information

                Contributors
                Journal
                J Environ Public Health
                J Environ Public Health
                jeph
                Journal of Environmental and Public Health
                Hindawi
                1687-9805
                1687-9813
                2022
                29 September 2022
                : 2022
                : 2987270
                Affiliations
                1College of Physical Education, Hunan Agricultural University, ChangSha 410128, HuNan, China
                2College of Orient Science and Technology, Hunan Agricultural University, Changsha 410128, HuNan, China
                Author notes

                Academic Editor: Zhao kaifa

                Author information
                https://orcid.org/0000-0002-5384-2610
                Article
                10.1155/2022/2987270
                9536931
                36213021
                0dd34113-29c7-4e95-ad52-d00f0bdb311d
                Copyright © 2022 Juan Rao and Xiaofen Cao.

                This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 27 May 2022
                : 15 June 2022
                : 24 June 2022
                Funding
                Funded by: Study on Ecological Value Evaluation and Ecological Compensation Mechanism of Rural Leisure Sports Resources
                Award ID: 19YBA190
                Categories
                Research Article

                Public health
                Public health

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