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Colon cancer (COAD) is a common malignancy, yet its etiology is not fully elucidated. This study gathered endocytosis-related genes, using gene expression profiles from TCGA databases to categorize molecular subtypes of COAD into Cluster1 and Cluster2 based on genes related to endocytosis, and further explored the connection between the two molecular subtypes and prognostic characteristics. Differential expression analysis of the two subtypes revealed 3412 differentially expressed genes (DEGs), whose functions were remarkably enriched in the cellular metastasis and oxidative phosphorylation in Cluster1 by fGSEA. Additionally, Cluster1 exhibited higher expression levels of DEGs associated with immune infiltration and metabolism in comparison to Cluster2 by GSVA, and TIDE scores indicated patients with Cluster2 may benefit more from immunotherapy. Based on the DEGs, we utilized univariate Cox regression to identify 759 prognostic genes, which were then screened by three machine learning models (Lasso, RF, SVM-RFE) simultaneously, resulting in four feature genes: NEK4, MED13, OXSR1, and SLAIN2. Moreover, in Cluter1, these feature genes displayed consistent positive or negative correlations with immune escape-related and metabolic reprogramming-related pathways and genes in Pearson heatmap. There results suggesting that there are significant differences in immune escape and metabolic reprogramming between colon cancer subtypes Cluster1 and Cluster2 as determined by genes according to endocytosis.

The idea of a digital China was introduced at the 19th Party Congress, after which all regions of the nation launched to vigorously promote digital management, particularly in areas where population conflicts are more prevalent. This was done in order to improve governance capacity through the use of digital technology, which has since become the main goal of the current modernization of China’s overall governance system. The issues encountered are still rather noticeable as we work to improve the capability of digital governance. As an example of Meiyuan Xincun community’s attention on its digital governance capability to increase the difficulties encountered by the analysis, and so put up the corresponding ideal remedies, this article is primarily for the urban community digital governance status quo analysis

The emergence of Electricity Spot Market makes it possible that distributed electric heating equipment connect with the grid and participate in market competition as well. However, due to the functional limits, it is impossible for the power supply side to have a thorough understanding of the specific conditions of the load characteristics of the power user, and the user side will not take a global consideration of the real-time security and stability of the power grid. This paper focuses on the research about electricity consumption strategy of thermoelectric coupled load with the background of electricity spot market. The main works are as following: An operation strategy of consumer electric heating equipment based on electric spot market is proposed. Besides, an operation mode which responds to the market is obtained by analysing the time span of clearing nodes in power spot market and start-stop characteristics of distributed heat load equipment. Based on this, the operating cost control function of consumer electric heating load is designed, making it possible that the load follows changes of the clearing price under the premise of ensuring that the user’s heat demand is met within a day. Then we had a discussion about the impact of parameter changes on the operating strategy. With the help of the constraints of existing power grid, the operation strategy model of consumer electric heating equipment based on power spot market is realized.

At present, with the development of rural tourism in full swing, the protection and renewal of rural eco-tourism landscape has become an important part of rural landscape planning and construction in the new era. From the perspective of tourists’ perception, this paper takes Longji Terrace Scenic Spot in Guilin, Guangxi as an example, and uses ROST CM6 software analyzes tourists’ landscape perception and characteristics from high-frequency vocabulary, semantic network and other aspects. Based on this, it finds out the existing problems in the current landscape planning of rural eco-tourism area, and puts forward planning suggestions. The purpose is to provide reference for the rational planning and allocation of rural tourism landscape, to improve the quality of life of rural residents, and to promote the construction of beautiful villages. The results show that: (1) high-frequency words indicate that tourists focus on human landscape and natural landscape; (2) the semantic network matrix takes “landscape”, “Jiulong Wuhu”, “Longji Terrace”, “Jinkeng Dazhai” as the core; (3) tourists’ perception of the landscape of Longji Terrace Scenic Spot focuses on terrace scenery, ethnic customs and specialties, mountain climbing ways and other aspects; (4) tourists’ emotional evaluation of Longji Terrace Scenic Spot is mainly positive emotion, and relatively less negative emotion.

A novel bamboo-wood box beam was introduced in this paper, which consisted of laminated bamboo lumber flanges and OSB webs. Four-point bending tests were conducted on composite beams to investigate the effects of shear span ratio and stiffeners on failure mode and strength. The results showed that the composite beams with shear span ratio less than two failed in web shear failure, but for the others, the beams failed in twist and delamination of OSB in flanges. The load carrying capacity of beams decreased with the increase of shear span ratio. However, the mechanical performance of beams can be improved moderately by the presence of stiffeners, and theultimate bearing capacity and initial stiffness was increased by 16.5% and 13.1% respectively.

Industrial parks serve as vital spatial carriers for economic and industrial development, exerting significant impacts on energy consumption and carbon emissions across nations. In order to promote green development in the Lancang-Mekong region, this research focuses on typical industrial parks in Laos, Thailand, and Vietnam. It analyzes the primary conditions of energy system construction, the structure of energy consumption, energy demand, and carbon emission trends in these parks. By considering local policies, development plans, and energy transition goals, the study assesses the development needs of energy consumption in the parks. It proposes differentiated schemes for constructing low-carbon energy systems in industrial parks, aiming to serve as a reference and guidance for the low-carbon energy transformation of typical industrial parks in the Lancang-Mekong region.

Green technology innovation is one of the important driving forces to promote green development of China’s economy. Based on the panel data of 29 provinces, municipalities and autonomous regions in China and the mechanism of Outward Foreign Direct Investment (OFDI) on green technology innovation, this paper introduced different spatial weights and established a Spatial Durbin Model (SDM) to study the impact of OFDI on China’s green technology innovation according to the hypothesis proposed in this paper. It is found that OFDI can significantly promote China’s green technology innovation, which is under the influence of different spatial weights, and presents a significant spatial spillover effect. However, there are obvious regional differences in the spatial impact of OFID on green technology innovation, and the spatial spillover effect in some regions is not significant enough. Then the change of international investment environment will affect the spatial spillover effect of OFDI on China’s green technology innovation. Moreover, OFDI has significant nonlinear characteristics in its impact on green technology innovation. After crossing the threshold, OFDI has significantly increased its impact on green technology innovation, which further confirms that OFDI can effectively promote China’s green technology innovation and it can promote China’s green economic development.

The green tide in the Southern Yellow Sea which has been erupting continuously for 14 years. Dominant species of the free-floating Ulva in the early stage of macroalgae bloom were Ulva compressa, Ulva flexuosa, Ulva prolifera, and Ulva linza along the coast of Jiangsu Province. In the present study, we carried out comparative studies on complete mitochondrion genomes of four kinds of bloom-forming green algae, and provided standard morphological characteristic pictures of these Ulva species. The maximum likelihood phylogenetic analysis showed that U. linza is the closest sister species of U. prolifera. This study will be helpful in studying the genetic diversity and identification of Ulva species.

Energy is the material basis for the survival and development of human society. It is of great significance for energy enterprises to obtain government subsidies, improve technological innovation ability, improve energy efficiency and realize sustainable development. Based on the data of listed energy companies in China, this paper examines the relationship between government subsidies, R & D investment and the growth of energy companies. The results show that: there is a significant positive correlation between government subsidies and the growth of energy enterprises; there is a significant positive correlation between government subsidies and R & D investment; R & D investment has a significant partial mediating effect between government subsidies and the performance of resource-based enterprises.

Layered construction of large thickness cement-stabilized macadam base makes the base change from designed being forced by whole layer to being forced by two thin layers, the existence of interfacial friction between two thin layers reduces the pavement performance of the base, which finally cause the reduction of pavement performance of whole pavement structure. To analyze the load responses of large thickness cement-stabilized macadam base asphalt pavement under different working conditions, pavement surface deflection, maximum principal stresses of surface layer bottom and base layer bottom, minimum principal strain of soil base top and maximum shear stress of surface layer bottom under two different working conditions(layered construction and one-step forming) are taken as indexes and are obtained by finite element analysis method in this paper.

Information overload is one of the most serious problems in big data environment, recommendation systems is a way to effectively mitigate the problem. In order to make use of rich user feedback and social networks information and to further improve the performance of the recommendation system ,This thesis makes a improvement on the user-based collaborative filtering algorithm by normalization method, Meanwhile the algorithm could be run on the MapReduce in the Hadoop platform. The experimental results show that the algorithm on Hadoop platform can effectively improve the accuracy of the data to recommend and computational efficiency, so as to improve the satisfaction of users.