DOI: 10.14704/nq.2018.16.5.1386

Comprehensive Evaluation of Utilization of Organic Wastes as Resources Based on Cognitive Behavioral Science

Qingsheng Zhou, Yao Wang, Xinzheng Li, Yichuan Zhang


Based on the theory of cognitive behavior, this article designs a brain evoked potential experiment and selects 30 livestock husbandry farmers from six provinces in East China as objects to verify the influence of cognitive attitude, subjective behavior and code of conduct on their willingness to utilize organic wastes as resources, and to draw the portraits of those farmers who utilize organic wastes as resources, which can provide theoretical basis and scientific reference for the government to formulate relevant policies on utilization of rural organic wastes as resources in later period. The results are as follows: (1) The farmer's cognition attitude, subjective behavior and code of conduct all have positive effect on their willingness to utilize organic wastes as resources, in which their cognitive attitude shows the strongest influence. The three influencing factors, including farmers' cognitive attitude, subjective behavior, and code of conduct, are the most closely related to each other. (2) Farmers' willingness to use organic wastes as resources has a significant effect on their behavior of utilizing organic wastes as resources, and there is a positive correlation between them. (3) Farmers' leisure time, household income, and technical skills also have a significant impact on the farmers' behavior in utilizing organic wastes as resources.


Cognitive Behavioral Science, Organic Waste, Comprehensive Evaluation, Brain Evoked Potential Experiment

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Barkley RA, Dupaul GJ, Mcmurray MB. Comprehensive evaluation of attention deficit disorder with and without hyperactivity as defined by research criteria. Journal of Consulting & Clinical Psychology 1990; 58(6): 775-89.

Dillies MA, Rau A, Aubert J, Hennequetantier C, Jeanmougin M, Servant N., Keime C, Marot G, Castel D, Estelle J, Guernec G, Jagla B, Journeau L, Laloe D, Le Gall C, Schaeffer B, Le Crom S, Guedj M, Jaffrezic F, French SC. A comprehensive evaluation of normalization methods for illumina high-throughput RNA sequencing data analysis. Briefings in Bioinformatics 2013; 14(6): 671-83.

Dugas MJ, Robichaud M. Cognitive-behavioral treatment for generalized anxiety disorder: from science to practice. Journal of Contemporary Psychotherapy 2007; 30(2): 149-61.

Herbert JD, Gaudiano BA, Forman EM. The importance of theory in cognitive behavior therapy: a perspective of contextual behavioral science. Behavior Therapy 2013; 44(4): 580-91.

Kajii H, Kawaki H, Nakahama Y, Fujiwara Y, Oshio T. P-112 influence of preference for beverages on α & β wave of electroencephalogram (eeg) and heart rate variation. Japanese Journal of Taste & Smell Research 2007; 14: 561-64.

Pu X, Liu T, Wu Q, Zhang R, Xu P, Li K, Xia Y, Yao D. Study on neurofeedback system based on electroencephalogram signals. Journal of Biomedical Engineering 2014; 31(4):894-98.

Semache A, Hamidat A, Benchatti A. Impact study of the solar energy on the energy performances of the rural housing in Algeria, International Journal of Heat and Technology 2015; 33(4): 229-36.

Shadel WG. Introduction to the special series what can personality science offer cognitive-behavioral therapy and research? Behavior Therapy 2004; 35(1): 101-11.

Simons AD, Rozek DC, Serrano JL. Wanted: reliable and valid measures for the science of cognitive behavioral therapy dissemination and implementation. Clinical Psychology Science & Practice 2013; 20(2): 181–94.

Song MJ, Shin H, Baek GJ, Kim HG, Kook C. A basic study on the characteristics of the electroencephalogram corresponded with the evaluating words of soundscape sound source. International Journal of the Korea Institute of Ecological Architecture & Environment 2011; 11(3): 49-56.

Statnikov A, Aliferis CF, Tsamardinos I, Hardin D, Levy S. A comprehensive evaluation of multicategory classification methods for microarray gene expression cancer diagnosis. Bioinformatics 2005; 21(5): 631-43.

Tang X, Zhou J. Electroencephalogram feature selection based on divergence analysis. Computer Engineering 2015; 41(5): 290-94.

Wang ZS. Research on the precision design of cat in the process of agricultural mechanization, Academic Journal of Manufacturing Engineering 2016; 14(2): 65-70.

Werth E, Dijk DJ, Achermann P, Borbély AA. Dynamics of the sleep eeg after an early evening nap: experimental data and simulations. American Journal of Physiology 1996; 271(2): 501-10.

Zhou ZH, Chen S, Xu F, Jiang HL, Xiao Y. Study on TFP of grain in Poyang Lake Ecological Economic Zone on DEA, Mathematical Modelling of Engineering Problems 2014; 1(2): 1-6.

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