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Abstract Lignin is main composition of agricultural biomass which can be decomposed through enzymatic hydrolysis by fungi. However, there are still needs to identify more efficient and effective fungal stain for biomass valorization. In this study, lignin degrading fungi from birch forest were screened for sustainable degradation of waste agricultural straws. The most effective strain was identified as Cerrena unicolor GC.u01 using 18 S rDNA gene-sequencing technology. Three different crop straws (corn stalk, rice and wheat straws) were used for the biotreatment studies. The activities of lignin degrading enzymes, laccase (Lac), cellulase and xylanase, secreted by C. unicolor were also determined. Scanning electron microscopy (SEM), fourier transform infrared spectroscopy (FTIR) and thermal gravimetric analyzer (TGA) were further used to monitor the effects of the biotreatment process. The results showed that C. unicolor degraded 34.3% rice straw lignin, a percentage which was higher than other isolated strains after 15 d straw liquid fermentation. The highest Lac activity (8.396 U•mL− 1) was observed with corn stalk on the 7 d. Cellulase and xylanase activities, in the same biomass, were higher than those of wheat and rice straws after 15 d. Furthermore, SEM, FTIR and TGA analyses showed that C. unicolor pretreatment process had significant effects on corn stalk, rice and wheat straws’ structures. The newly isolated stain of C. unicolor demonstrated high lignin degradation potential that can provide effective, ecofriendly means of valorizing biomass to industrial useable raw-material.

Abstract This study proposes a new generation network based on transformers and guided by the music theory to produce high‐quality music work. In this study, the decoding block of the transformer is used to learn the internal information of single‐track music, and cross‐track transformers are used to learn the information amongst the tracks of different musical instruments. A reward network based on the music theory is proposed, which optimizes the global and local loss objective functions while training and discriminating the network so that the reward network can provide a reliable adjustment method for the generation of the network. The method of combining the reward network and cross entropy loss is used to guide the training of the generator and produce high‐quality music work. Compared with other multi‐track music generation models, the experimental results verify the validity of the model.

Objective To provide a basis for formulating precise prevention and control strategies, the temporal and spatial aggregation characteristics of county road traffic injury mortality were analyzed, Shandong, 2012-2021. Methods The traffic injury mortality rate was calculated by using the data from the death registration and reporting system of Shandong. Geoda 1.18 and SatScan 9.7 were used for spatial autocorrelation analysis and spatiotemporal scanning analysis to explore the characteristics of spatiotemporal aggregation, and principal component regression analysis was used to explore the influencing factors. Results Road traffic injury mortality rate in Shandong from 2012 to 2021 showed an overall decreasing trend and was high in the fall. The spatial correlation existed in each year, and the "high-high" aggregation area was mainly located in the central and northwestern parts of Shandong. The spatial scan revealed the existence of four clusters across the entire population. Cluster 1 existed from March 2012 to February 2015, covering 26 districts and counties, primarily located in south-central Shandong. Similar to the total population, urban and rural areas were mainly located in the central and southern part of Shandong, and the main urban agglomeration area existed from January 2012 to December 2014, covering 19 districts and counties; The main rural agglomeration area existed from January 2012 to December 2014, covering 38 districts and counties. Principal component regression analysis showed that the variables reflecting the economic and transportation conditions had a greater impact. Among them, the number of permanent residents and the volume of passenger and freight transportation were positively correlated with the mortality rate, while others were negatively correlated. Conclusion From 2012 to 2021, the mortality rate of road traffic injuries in Shandong showed a decreasing trend. The main agglomeration area exists in the central and southern part of Shandong, and the rural agglomeration is more obvious. According to the characteristics of clustering, attention should be paid to the enforcement of laws and regulations, infrastructure construction, population flow and other factors in high-risk areas, and prevention and control strategies should be adopted or adjusted according to local conditions. [ABSTRACT FROM AUTHOR]