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He Tianli. On the Main Task of China’s Industrial Structure Adjustment Under the Goal of Low Carbon Economy. Management & Engineering. 2011;10:101–105. Despite the enormous amount of interest in the physics of energy and its central importance in so many branches of science, its nature remains in many ways mysterious ( Feynman, 1963; Smil, 2008; Coopersmith, 2010) and it has been the subject of relatively little philosophical interrogation ( Coelho, 2009). Treating energy as an abstract accounting quantity is perfectly satisfactory for many scientific purposes, where there is little reason to question its nature. But if energetic activity plays a significant role in consciousness, as the evidence cited above suggests it might, then its nature deserves closer scrutiny. In discussions of the nature and behavior of forces at the microscopic level we often find references to the way they ‘feel’ ( Feynman, 1963 ), or the way they ‘experience’ each other in fields ( Rennie, 2015 ). It would be interesting to investigate what motivates the use of such terms in this context. Is it reasonable then to propose that consciousness is caused by the way energetic activity is dynamically and recursively organized in the brain? It is no less reasonable than attributing the causes of other biological phenomena, such as the behavior of the nematode worm, to the way energetic activity is organized. If consciousness is a physical (biological and chemical) process, and if physical processes are caused by energetic activity (alongside forces and work), then consciousness, in principle, could be caused by energetic activity and the way it is organized. Naturalizing Consciousness

The author confirms being the sole contributor of this work and has approved it for publication. Funding Despite these promising results, power plants relying on forest biomass pellets also face several problems such as high energy consumption, labor-intensive process, higher prices than other solid biofuels, need for higher storage space in comparison with oil, need for ash removal, and susceptibility of pellets to moisture exposure ( Abdoli et al., 2018). Conversion of Forest Biomass Into Liquid Biofuels

Direct Utilization of Forest Biomass

Neuroanthropologist Terence Deacon defines energy as a “relationship of difference” ( Deacon, 2013 ). Note that energy is difference, but not all differences are energy; red is a color, not all colors are red. Akyürek Zuhal. LMDI decomposition analysis of energy consumption of Turkish manufacturing industry: 2005–2014. Energy Efficiency. 2020;13(4):649–663.

v)The energy consumption structure diversity in Shaanxi is positively correlated with carbon emissions. Shaanxi H index is positively correlated with Shaanxi carbon emissions, and for every 1% increase in Shaanxi H index, Shaanxi carbon emissions increase by 7.175%, indicating that with the improvement of the diversity index of energy consumption structure in Shaanxi, carbon emissions will gradually increase. Although the energy consumption structure diversity index in Shaanxi is improving, while it is mainly due to the internal substitution of fossil energy, and the proportion of primary electricity and other energy sources is still relatively low, which leads to a higher output level of carbon emissions. The proportion of coal is positively correlated with carbon emissions in Shaanxi, and for every 1% increase in the proportion of coal, carbon emissions in Shaanxi increase by 11.087%, indicating that with the increase in the proportion of coal consumption in Shaanxi’s total energy consumption, carbon emissions are also increasing. Coal consumption is one of the main factors causing the increase in carbon emissions, excessive reliance on coal energy will lead to increase carbon emissions. Therefore, it is necessary to gradually reduce the proportion of coal consumption and pay more attention to reduce the carbon emissions of primary electricity and other energy sources in the process of optimizing the energy consumption structure. Ying CHEN, Tao HUANG, Lixin TIAN. Co-integration analysis of energy structure diversity and energy efficiency with provincial data as example. Journal of Jiangsu University(Natural Science Edition). 2016;37(02):242–248.Mozumder Pallab, Vásquez William F., Marathe Achla. Consumers’ preference for renewable energy in the southwest USA. 2011;33(6):1119–1126.

The difference between 1 and 0, for example, is an abstract difference conceived within a conscious mind. He Yongxiu, Pang Yuexia, Shu Han. The Synergy Mechanism of Promoting Renewable Energy Consumption in China. Energy Procedia. 2017;105:327–334.

In addition to producing hydrogen-rich syngas, forest biomass can also be used to produce biogas through anaerobic digestion ( Tabatabaei et al., 2020a). The technology of converting forest biomass into CH 4 is relatively mature and has been used for practical production for many years ( González et al., 2006; Tabatabaei et al., 2020b). The production of biogas, whose main components are CH 4 and CO 2, is largely affected by the composition of raw materials ( Dehhaghi et al., 2019). It should be noted that in addition to species, the composition of forest biomass could also be affected by variations in geographical location and growth environment. Liu Wei, Li Hong. Improving energy consumption structure: A comprehensive assessment of fossil energy subsidies reform in China. Energy Policy. 2011;39(7):4134–4143.

The article is supported by the Program for Innovative Research Team (in Science and Technology) in University of Henan Province (No. 21IRTSTHN020) and Central Plain Scholar Funding Project of Henan Province (No. 212101510005). Conflict of Interest Patterson, M. Complexity and Evolution; Cambridge University Press: Cambridge, UK, 1996. [ Google Scholar]

The Brain as a ‘Difference Engine’

The philosopher Thomas Nagel summarized one of our greatest intellectual challenges: how to explain mental processes as physical processes. The aim of this paper is to outline a principle according to which consciousness could be explained as a physical process caused by the organization of energy in the brain 1. Discussing the diversity of energy consumption structure will provide an interesting new way of thinking for carbon emission reduction. As a large province of energy supply, Shaanxi’s energy consumption structure has attracted much attention, what impact does it have on local energy efficiency and carbon emissions? In this paper, the diversity calculation method will be used to calculate the energy consumption structure of Shaanxi, China, and establish a regression model between the energy consumption structure, energy efficiency and carbon emissions, and discuss the relationship between them. At present, the main methods of carbon emission accounting are emission factor method, material balance method and actual measurement method. The emission factor method is the main method of IPCC and international carbon emission accounting, which has good applicability and operability. The emission factor method is selected to calculate the carbon emission of energy consumption in Shaanxi. The calculation formula of the emission factor method is: The authors of Wollstadt et al. (2017) , for example, studied the breakdown of local information processing under anesthesia using information theoretic methods. They point out that the EEG procedure they used did not directly record information processing in the brain but local field potentials, that is, fluctuations in quantities of potential energy. There seems to be an ambiguity in some textbooks about whether energy is an enabling property possessed by a system or body, e.g., Duncan (2002) , or a measure of such a property, e.g., Rennie (2015) . I will take energy to be a property possessed by systems or bodies, quantities of which can be measured.

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