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It is proposed that a particular kind of activity occurs in human brains that causes our conscious experience. It is a certain dynamic organization of energetic processes having a high degree of differentiation and integration. This organization is recursively self-referential and results in a pattern of energetic activity that blossoms to a degree of complexity sufficient for consciousness. 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 ii)The total carbon emissions from energy consumption in Shaanxi is too large, but the growth rate tends to be stable. From the perspective of total carbon emissions, the carbon emissions of energy consumption in Shaanxi generally shows an increase trend from 2000 to 2021. The carbon emissions increased from 5,064.6 tons in 2000 to 22974.54 tons in 2021 which mainly due to the increase in fossil energy consumption. From the perspective of the growth rate of carbon emissions, although the total carbon emissions from energy consumption in Shaanxi is relatively high, while the relative growth rate is declining year by year. From 2000 to 2014, the growth rate of carbon emissions of energy consumption in Shaanxi dropped rapidly, and the growth rate of carbon emissions decease from 17% in 2001 to 5.3% in 2014, the growth rate of carbon emissions has basically stabilized at around 1% since 2015, indicating that Shaanxi’ active promotion of energy conservation and emission reduction policies has achieved phased results, and carbon emissions have gradually stabilized. In 2020, carbon emissions decreased by 0.7% month-on-month affected by the external economic environment and the epidemic.

Among them, C represents the carbon dioxide emissions of energy consumption, i represents the number of energy types, E i represents the consumption of the ith energy, CF i represents the calorific value of the i th energy, CC i represents the carbon content of the i th energy, ROX i represents the carbon oxidation rate of the i th energy, γ is a coefficient that represents the ratio of the relative molecular mass of carbon dioxide to the relative atomic mass of carbon, generally taking 3.67. Reference to the research method of Xu Shichun [ 37], the consumption of fossil energy is used as an accounting indicator, and raw coal, crude oil, natural gas, etc. are selected as carbon emission sources, and the carbon emission value is estimated according to the carbon dioxide emission coefficient of different energy sources. Voigt Annette, Wurster Daniel. Does diversity matter? The experience of urban nature’s diversity: Case study and cultural concept. Ecosystem Services. 2015;12:200–208. i)The energy consumption structure diversity in Shaanxi is lower than the national average. Shaanxi’s energy consumption structure diversity index and equilibrium index generally show a slow upward trend. In most years, the Shaanxi energy consumption structure diversity index is higher than 0.8, and the equilibrium index is higher than 0.6, but lower than the national energy consumption structure diversity index and equilibrium index in the same period. According to the change of the diversity index, it can be roughly divided into three stages. The first stage is from 2000 to 2005, in this stage, Shaanxi energy consumption structure diversity index and equilibrium index show a fluctuating decrease, and Shaanxi energy consumption structure diverse index dropped from 0.7751 in 2000 to 0.7519 in 2005, and the equilibrium index dropped from 0.5591 in 2000 to 0.5424 in 2005, indicating that Shaanxi’s energy consumption is overly dependent on coal resources at this stage, and the gap of various energy consumption within the energy system is widening. The second stage is from 2006 to 2012, both the Shaanxi energy consumption structure diversity index and equilibrium index have shown a rapid upward trend in this stage. The Shaanxi energy consumption structure diversity index increased from 0.766 in 2006 to 0.8257 in 2012. The equilibrium index increased from 0.5525 in 2006 to 0.5956 in 2012, indicating that the optimization of energy consumption in Shaanxi continues to improve at this stage, and the consumption of natural gas, primary electricity and other energy is expanding. The third stage is from 2013 to 2021, Shaanxi energy consumption structure diversity index and equilibrium index are basically stable in this stage, and the diversity index and equilibrium index are maintained at around 0.8 and 0.6 respectively, which reflects that the status quo of high proportion of coal in the energy consumption structure has not been changed, on the other hand, it also reflects that the types of energy sources in Shaanxi have not increased, and the main energy structure is basically stable. We gain some insight into the association between consciousness and the organization of energetic processing in the brain from studies of anesthesia. The reason why anesthetic agents obliterate consciousness is not understood ( Mashour, 2004). Recent work has focused on the ways in which they interfere with the brain’s capacity to generate patterns of localized differentiation (often termed ‘information’) and to bind together or integrate those patterns across widely distributed brain networks ( Hudetz, 2012; Hudetz and Mashour, 2016). Evidence from studies on the neurological effects of anesthetics suggests that consciousness is lost as distant regions of the brain become functionally isolated and global integration breaks down ( Lewis et al., 2012). The idea that consciousness depends on maximizing differentiation and integration in the brain lies at the heart of IIT ( Tononi, 2012; Oizumi et al., 2014).

Conflict of Interest Statement

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 Province International Collaboration Lab of Forest Resources Utilization, School of Forestry, Henan Agricultural University, Zhengzhou, China

Shi-chun XU, Ru-yin . Study on the Measurement and Influential Factors of Chinese Energy and Carbon Emission Efficiencies. Soft Science. 2015;29(3):74–78. Among them, l t represents the number of employees at the end of the year, yr t represents the average years of education of the population over the age of 15, the number of employees is from the Shaanxi Statistical Yearbook, and the average number of years of education of the population over the age of 15 in 2010 and 2020 comes from the Sixth and Seventh National Census data, the average years of education of the population over the age of 15 in 2000 is estimated using the years of education method, and different years are set according to different levels of education, 0 years for illiteracy, 3 years for literacy classes, 6 years for primary schools, 9 years of junior high school, 12 years of high school and technical secondary school, 16 years of junior college, undergraduate and postgraduate. It is estimated that the average number of years of education of people over the age of 15 in Shaanxi was 8.04 years in 2000. It should be noted that forest biomass, due to the presence of bark and juvenile wood, tends to have higher lignin contents ( Zhu et al., 2015). As a result, forest biomass is more recalcitrant to bioconversion into sugars than other biomass types such as agricultural residues ( Yamamoto et al., 2014). Although there are pretreatment processes to overcome such a high level of recalcitrance for efficient sugar/biofuel production, they are more time-consuming and costlier. One of these methods is steam explosion treatment which has been reported to increase bioethanol production of Hemp fiber by upto 70% ( Zhao et al., 2020). It has also been claimed that the application of surfactants, owing to their unique structure and functional properties, could improve the solubility, fluidity, bioavailability, and biodegradability of forest biomass, thereby increasing the production of bioethanol. Zheng et al. (2020) argued that tween, polyethylene glycol (PEG), and sulfonate-based surfactants could increase the conversion rate of lignocellulose by 10–20%. Information is variously and sometimes imprecisely defined in science ( Capurro and Hjørland, 2003), its meaning is still strongly contested ( Lombardi et al., 2016; Roederer, 2016), and many people regard it as being to some extent subjective, relativistic, or observer-dependent ( von Foerster, 2003; Deacon, 2010; Werner, 2011; Logan, 2012; Searle, 2013; de-Wit et al., 2016). The term is often used in science colloquially (meaning ‘what is conveyed by an arrangement of things’) or “intuitively” ( Erra et al., 2016). And where one might expect to find a clear definition, such as in a dictionary of physics, biology or chemistry, none appears ( Hine, 2015; Rennie, 2015, 2016). Lian-de LI, Qing WANG, Hao LIU, Yang SONG. Calculation and Analysis of Diversity of Domestic Primary Energy Supply. Journal of Northeastern University(Natural Science). 2008;29(4):577–580.

HYPOTHESIS AND THEORY article

The above energy structure adjustment strategies have been partially applied to the development of Chinese energy industry policies, and a series of policies have been published to encourage the development of new energy industries and restrict the expansion of high energy-consuming industries, the main purpose is to improve the energy consumption structure through continuous industrial structure optimization. After nearly 6 years of supply-side structural reforms in the coal industry, energy consumption structure in China has been optimized, the proportion of coal consumption continues to decline, and the proportion of new energy and renewable energy consumption increases gradually. The energy consumption structure is more diversified, forming an energy production and consumption system of coal as the mainstay paralleling development with oil, natural gas, hydropower, wind power, solar power, nuclear power, etc. It is foreseeable that with the optimization of China’s industrial structure, the improvement of new energy investment capacity, and the improvement of the profitability of renewable energy, energy consumption diversity will become an important development direction of China’s energy industry. So how to establish the energy consumption diversity evaluation index, how to determine energy consumption diversity level of Shaanxi Province, and how to understand the current situation and evolution trends of energy consumption structure diversity, are all important issues to be faced after the adjustment of energy structure. 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: