At present, China's offshore floating photovoltaic is in its exploratory stage, which ensures the dynamic stability of floating photovoltaic foundation under varying environmental loads becoming a key research priority. In order to more effectively solve the above-mentioned difficulties and the shortage of land resources in the photovoltaic industry, a floating photovoltaic PE floating block foundation structure design, hydrodynamic calculation and optimization were completed through numerical simulation calculation based on the environmental conditions of a sea area in Rushan City, Weihai. The results indicate that wave height, wave period, and wave incidence angle have varying degrees of influence on the motion response and internal force values of the structure. Based on the analysis, practical applications of the new floating foundation in specific projects are guided, showing promising results that verify the feasibility and stability of this foundation structure's application.

To solve the problems of multiple influencing factors, different focuses of participating parties, and inability to quantitatively describe the comparison and selection schemes in the current process of selecting routes for mountainous expressways, based on thorough research on the influencing factors of expressway and railway route selection at home and abroad, the influencing factors of expressway route selection in mountainous areas of China were systematically analyzed and summarized, and four aspects : economy, technology, safety and environment were summarized, totaling 16 specific influencing factors. Based on the Xihe to Tanchang Expressway project, a group of 164 experts from the local government, industry regulatory departments, owners, design, construction, supervision, third-party testing units, and research institutes in the project area were organized to form an expert group. The analytic hierarchy process (AHP) was used to evaluate the importance of 16 route selection influencing factors. The results show that the comprehensive weight average score of the three influencing factors in the environmental indicators is high, reflecting the further strengthening of environmental awareness in the field of engineering construction. To further establish a optimization model for scheme comparison, taking the scheme comparison of the route from the project Dengta Village to Haolin Village as an example, the technique for order preference by similarity to idea solution (TOPSIS) method based on the AHP was used to compare and select schemes. The superiority of the four comparison schemes is 2.84, 0.56, 0.72, and 2. 15, respectively, indicating that scheme 1 is optimal. Based on a comprehensive analysis of the factors affecting the selection of mountainous expressway routes, the research results adopt the AHP-TOPSIS comprehensive evaluation index system model. While fully utilizing expert experience, it can objectively and scientifically

In order to promote the green, low-carbon and high-quality development of rural areas in western Inner Mongolia, the data collected from the survey and literature was combined, the energy consumption of farmhouses was jointly simulated through DeST and Trnsys software, single factor analysis was carried out, the orthogonal test method was used to obtain multiple schemes, and the gray fuzzy comprehensive evaluation method based on random forest algorithm was used to comprehensively optimize the enclosure structure and heating system, and selected the most suitable green and low-carbon farmhouse scheme in western Inner Mongolia. The results show that the optimal scheme of green and low-carbon farmhouses in western Inner Mongolia is as follows: the building is facing north and south, the floor height is${3.4}\mathrm{\;m}$, the ground is${20}\mathrm{\;{mm}}$polystyrene extruded polystyrene board (XPS) thermal insulation tile floor, the roof is${120}\mathrm{\;{mm}}$expanded polystyrene foam board (EPS) insulation board inverted concrete block roof, the external wall is${160}\mathrm{\;{mm}}$polystyrene extruded polystyrene board (XPS) insulation board external insulation concrete block wall, the external window is$6\mathrm{C}+ {12}\mathrm{{Ar}}+ 6\mathrm{C}6\mathrm{\;{mm}}$double-layer ordinary glass inert gas plastic steel window, the south-facing window-to-wall ratio is 0.5, the north-facing window-to-wall ratio is 0.5, and the sunlight depth is${1.2}\mathrm{\;m}$. The material of the sunshine room is$6\mathrm{C}+ {12}\mathrm{{Ar}}+ 6\mathrm{C}6\mathrm{\;{mm}}$double-layer inert gas ordinary glass + plastic steel window frame + thermal insulation curtains, and the wind power generation efficiency is${45}\%$. The heating energy consumption of the optimal scheme is${2661.15}\mathrm{\;{kW}}\cdot \mathrm{h}$,the average indoor temperature on the coldest day is${11.62}{}^{\circ }\mathrm{C}$, the carbon emission reduction is${10.02}\mathrm{\;t}/\mathrm{a}$, the solar heat gain is${67702.75}\mathrm{\;{kW}}$, and the net present value$> 0$, which is economical and has a certain degree of popularization in the rural areas of western Inner Mongolia, providing a development direction for the green and low-carbon transformation of rural houses in western Inner Mongolia.

In the context of achieving carbon peak and carbon neutrality in transportation, high-precision, fine-grained, and highly feasible real-time prediction methods for motor vehicle energy consumption have become key components in reducing carbon emissions. Addressing the issue of limited universality in traditional regression-based vehicle energy consumption models, a prediction model based on the radial basis function neural network (RBFNN) has been developed. Firstly, the influencing factors of vehicle energy consumption were analyzed, and the influence factor matrix was normalized using the Min-Max standardization method. Then, the grey wolf optimization (GWO) algorithm was employed to optimize the training of the centers of the hidden layer, the width of the Gaussian function, and the weights connecting the hidden layer to the output layer in the RBFNN algorithm. Finally, a comprehensive analysis of the model's prediction accuracy was conducted through horizontal model comparisons and real-world vehicle measurements. The test results demonstrate that the RBFNN algorithm improves prediction accuracy by approximately 12% compared to traditional regression models, achieving an overall accuracy of over 90%. This makes it highly effective in accurately predicting the energy consumption of urban motor vehicles.

To explore the impact of the spatial distribution of material sources within a watershed on the susceptibility to debris flows. The nearest neighbor index was adopted, based on the principles of mathematical statistics, to quantify the spatial clustering of material sources. Using 2243 small watersheds as evaluation units, the longitudinal gradient, area-elevation integral, topographic wetness index, peak ground acceleration of earthquakes, and rock hardness were taken as disaster-prone indicators, and the aggregation index of material sources, connectivity index, and material reserves were taken as the core material source indicators. The LightGBM model was relied on to investigate the susceptibility to debris flows in the Shigu-Gangtuo section of the upper reaches of the Jinsha River. The research process calculated the index system of material source factors and the index system without material source factors. Both results indicate that the high and very high susceptibility areas are mainly concentrated in the Benzilan-Batang section. The receiver operating characteristic curve (ROC) curve analysis shows that after incorporating the material source characteristic indicators, the area under the curve (AUC) value increases by 6% compared to the AUC value without material source characteristics, indicating that the model performs well and has high predictive accuracy after the inclusion of material source indicators. It also proves that the material source characteristic indicators are highly correlated with the probability of debris flow occurrence.

In order to study the formation mechanism, paleoenvironment, paleoclimate, tectonic background, and source of black shale in the Shengping Formation of the Middle Ordovician in northern Guangxi, sixteen samples of black shale and black siliceous shale were collected from the Shengping Formation at Xishuiyuan section in Quanzhou County, Guilin City, Guangxi Zhuang Autonomous Region, and element geochemistry testing and analysis were conducted on them. The results show that the content of the main element${\mathrm{{SiO}}}_{2}$in the black shale of the Shengping Formation at Xishuiyuan section is the highest (${62.37}\%\sim {91.65}\%$, average${78.04}\%$), followed by${\mathrm{{Al}}}_{2}{\mathrm{O}}_{3}({2.88}\%\sim$16.92%, average 9.15%). Compared with the North American shale (NASC), the content of trace elements in the study area shows a loss for all elements. The value of the sample${\left(\mathrm{{La}}/\mathrm{{Yb}}\right)}_{\mathrm{N}}$is${7.185}\sim {15.858}$, with an average of 10.678. The light rare earth elements (LREE)/ heavy rare earth elements (HREE) values are${8.165}\sim {15.440}$, with an average of 11.029. It indicates that the differentiation phenomenon of light and heavy rare earth elements is more obvious, and LREE are relatively enriched compared to HREE. The δEu value exhibits negative anomalies$\left({{0.589}\sim {0.950}}\right)$, with an average value of 0.758 ; The$\delta \mathrm{{Ce}}$value exhibits positive anomalies$\left({{1.165}\sim {1.412}}\right.$, with an average of 1.259). The geochemical characteristics show that the structural background of the black shale source area in the Shengping Formation of the Xishuiyuan profile is passive continental margin, and the source rock type is sedimentary rock. The source area has undergone moderate to strong chemical weathering, which is greatly affected by chemical weathering, with a predominantly warm and humid climate. The sedimentary environment is mainly a deoxidizing environment with oxygen deficiency.

Based on the Wnt/β-catenin pathway, to investigate the anti-tumor effect of Gegen Qinlian Decoction (GQD) on colorectal cancer and its effect on nuclear translocation of protein regulator of cytokinesis 1 (PRC1). BALB/c nude mice were subcutaneously inoculated with the CT26 colorectal cancer cell line and divided into GQD low (L-GQD), medium (M-GQD), and high (H-GQD) dose groups, with the model group serving as the control. The mice were administered the drug daily for 25 days, and the growth of the tumors was recorded. Following the conclusion of the previous administration, the tumor was surgically excised and subjected to subsequent observation. The proliferation and apoptosis of the tumor were assessed using hematoxylin-eosin staining(HE), immuohistochemistry (IHC), and terminal deoxynucleotidyl transferase-mediated dUTP nick end labeling (TUNEL) staining techniques, while the Wnt/B-catenin pathway was examined through qRT-PCR and western blot (WB) analysis. Furthermore, alterations in the expression of catenin signals and downstream factors were investigated. In addition, WB was used to detect the effects of GQD on the phosphorylation level of PRC1 and its subcellular localization. Compared with the model group, GQD inhibited the growth and increased the apoptosis level of colorectal tumors in vivo in a dose-dependent manner. IHC results show that GQD down-regulated the expressions of proliferation-related proteins cyclind1 , marker of proliferation Ki-67 (Ki67), and platelet endothelial cell adhesion molecule-1 (CD31)$\left({P <{0.05}}\right)$, and promoted the expressions of approbation-related proteins Caspase 3 and Caspase 9$\left({P <{0.05}}\right)$. GQD is further found to inhibit the activation of Wnt/β-catenin signaling, which may be related to the reduction of PRC1 phosphorylation level and the alteration of its nuclear retention ratio. This inhibition of Wnt/β-catenin signaling by GQD is closely associated with the suppression of colorectal tumor proliferation and the promotion of apoptosis. Moreover, GQD may involve in mediating nuclear translocation of PRC1.

In order to study the stability of the tunnel structure under the airport runway when the aircraft is running, the numerical calculation model of the runway, soil layer and tunnel structure co-deformation was constructed by establishing the six-degree-of-freedom dynamic equation of the “five-point contact” aircraft. The influence of the aircraft type, pavement type and buried depth on the stability of the tunnel structure was analyzed. The results show that the more concentrated the distribution position of the main landing gear wheel is, the greater the influence on the stability of the tunnel structure under different aircraft loads. The attenuation effect of stress diffusion on the flexible tunnel surface is obviously better than that on the rigid tunnel surface, and the deformation degree of the arch top is more significant than other locations. With the increase of the buried depth of the tunnel structure, the disturbance effect of aircraft load on the tunnel structure shows a decreasing trend. When the buried depth of the tunnel structure exceeds${64}\mathrm{\;m}$, the tunnel structure no longer bears the disturbance effect of aircraft load.

Based on the field pull destructive test of 9 anti-floating anchor of screw-thread steel bars in a foundation pit anti-float project in Qingdao, the load-displacement characteristics of anti-floating anchor of screw-thread steel bars under different anchoring lengths were studied, and the bearing performance of anti-floating anchor of screw-thread steel bars was determined. The results show that the ultimate uplift bearing capacity of the anti-floating anchor of screw-thread steel bars with the same diameter is 681 kN for the 3.0 m and 3.5 m anchors anchored in medium-weathered granite, and 1 004 kN for the 4.0 m anchors anchored in medium-weathered granite. At the initial stage of loading, the displacement of anchor head increase linearly, and with the increase of load, the displacement of anchor head increase abruptly, all of which exceed 50 mm. The agreement between the hyperbolic function and the power function load-displacement curve model and the measured value is good when the load level is low, but is relatively poor when the failure is near, and the predicted ultimate tensile strength is much different from the measured value. The exponential function load-displacement curve model can predict the ultimate uplift bearing capacity of the test anchors with high accuracy and good agreement with the measured curve.

In order to solve the problems of roof breakage, support difficulty, water and mud inrush encountered in underground space operations such as mining and tunnel excavation, polyester ammonia/water glass organic-inorganic hybrid grouting reinforcement material was taken as the research object. By establishing a similar simulation grouting model, the temperature and pressure of measuring points at different distances from the injection point during the model grouting process were studied, and the slurry diffusion law was analyzed. The mechanical properties of grouting reinforcement were analyzed to test the consolidation effect. The results show that the polyurethane(PU)/water glass double-liquid grouting material exhibits irregular diffusion in the broken rock test model, and the curing reaction is an exothermic reaction. It reaches a maximum of${83.2}\mathrm{C}$at 10 min after slurry injection, which is 6.6 times of room temperature. The maximum pressure is${5.7}\mathrm{{MPa}}$, which is 1.425 times of the test load. The temperature and pressure increase rapidly with time and then slowly decline and finally stabilize. The uniaxial compressive strength range of polyurethane/water glass double liquid grouting and solid is${15.32}\sim {32.57}\mathrm{{MPa}}$, the maximum bearing capacity of triaxial loading is${41.9}\mathrm{{MPa}}$, the residual strength is${25}\mathrm{{MPa}}$, the maximum load of creep failure is${25}\mathrm{{MPa}}$, and the strength of the injected material is greatly improved after consolidation. Through the microscopic analysis of grouting reinforcement, it can be seen that the rock and slurry are closely cemented at the junction, and the grouting reinforcement effect is good.