In order to further study the connectivity and hydraulic connection between the injection and production wells in geothermal reservoir, a dual media model of fracture-porosity was constructed by using COMSOL Multiphysic.The effects of the aperture of the fissure group in fractured rock mass, the diffusion coefficient of the rock matrix, and the permeability on the tracer breakthrough curve (BTC) at different dip angles with the mainstream direction were analyzed.The results indicate that the convection of water in the fissure is the main factor influencing the concentration migration. With the increase of the fissure aperture, the migration rate and peak concentration of the tracer are enhanced, and the degree of the influence on the tracer migration by the fissure aperture decreases with the increase of the dip angle of the fissure group. The diffusion coefficient and permeability of the rock matrix have a significant impact on the temporal and spatial distribution of the tracer concentration. With the increase of the matrix diffusion coefficient, the delay effect of the tracer migration is elevated. With the increase of the matrix permeability, the anisotropy of the reservoir pressure and concentration distribution is reduced, and the concentration distribution at the outlet boundary becomes more uniform.

As a major risk source, slope in open-pit coal mine is one of the main challenges faced by mine safety production. Taking Wanyuan open-pit coal mine in Wuhai City, Inner Mongolia Autonomous Region as an example, based on detailed investigation of slope development characteristics, deformation and failure modes were analyzed, slope radar deformation monitoring was carried out, and early warning models were established, a monitoring and early warning platform was built to achieve risk control. The results show that the slope of Wanyuan open-pit coal mine involves reverse, cross and consequent rock slope and soil slope of dump, and its deformation and failure modes are respectively tensile fracturing, wedge failure, slip-bending and creep (-tensile cracking). There is a possibility of instability under the influence of mining, blasting, rainfall or unreasonable stacking. On this basis, in order to realize the monitoring of slope without blind area, two sets of slope radar were respectively installed at the stable bedrock on the northeast and southwest sides of the mine, and the slope safety grade was divided into four grades: blue (<3 mm/h), yellow (3~8 mm/h), orange (8~15 mm/h) and red (>15 mm/h). Combined with the organizational structure of mining enterprises, the slope safety management system from slope radar deformation monitoring data-early warning model-early warning platform-risk management and control are constructed, which can provide technical reference for the construction of regional coal mine safety production capacity.

Addressing the issues of large model parameters and high computational complexity in apple target detection algorithms for complex orchard environments, which hinder application on devices with limited computational resources, an improved and lightweight apple target detection algorithm named YOLOv8n-Apple based on YOLOv8 was proposed. The backbone network, yaniaNet, was introduced to reduce model parameters and complexity. The original C2f module in the model was replaced with the C2fGhost module, which further decreased model parameters by obtaining similar feature maps through fewer convolutional operations. The lightweight upsampling operator CARAFE was utilized to address the issues of semantic loss and excessively small receptive fields associated with traditional upsampling operators. Given that traditional loss functions cannot fully capture the relative position and size differences between targets, the WIoU bounding box was adopted as the regression loss function. A dataset comprising 3 120 images of mature apples in various scenarios, including distant and close views under front-light and backlight conditions, was collected from diverse angles and backgrounds, to mitigate potential dataset uncertainties. The improved apple detection model for orchard environments demonstrated an average detection accuracy of 90%, which was 7.5, 4.8, 2.2, 3.8, and 3.4 percentage points higher than SSD, Faster R-CNN, YOLOv5, YOLOv7, and YOLOv8, respectively. The detection speed reached 286 frames per second, and the model size was reduced to 1.8 MB, representing an improvement of 41 frames per second compared to the original model, while occupying only 60.0% of size.

The tectonic activities at the bottom and surrounding the sedimentary basin will inevitably lead to changes in the sedimentary filling characteristics and evolution of the basin. These changes serve as records of the sedimentary strata’s response to tectonic activities. Based on logging interpretation and outcrop data, the sedimentary evolution of the Middle and Late Jurassic to Early Cretaceous in the Ordos Basin was analyzed through paleogeography and sedimentary facies restoration. The results indicate that the southern part of the basin developed multi-phase depositional systems, including alluvial fan, river-delta-lake, and desert phases. There was a sedimentary divergence from east to west, with the sedimentary center migrating from east to west. During this period, the basin was primarily influenced by the Yanshan Movement, with strong tectonic activities occurring around it. Consequently, a tectonic pattern emerged within the basin, characterized by uplifting and tilting in the east and sinking and depression in the west. The intense tectonic activities at the western edge of the basin also led to the development of an intralittoral foreland basin at the southwestern edge during the Late Jurassic Fenfanghe Stage. Additionally, multiple sets of molasse formations and unconformity contacts were present during the Late Jurassic and Early Cretaceous periods. Based on these insights, a model map of the Middle and Late Jurassic to Early Cretaceous tectono-sedimentary evolution has been established. The occurrence of these sedimentary events serves as a record of the basin’s response to the early and middle stages of the Yanshan Movement, proving a close relationship between sedimentary evolution and the uplift of the Qinling-Qilian Mountain orogenic belt and the Lvliang Mountains. These insights not only complement and improve the theory of tectonic-sedimentary response in the southern basin during the Yanshan Movement but also have practical significance for the exploration and development of mineral resources such as oil, gas, and uranium in the southern basin.

To observe the effects of LPS(lipopolysaccharide)-HDAC3(induced histone deacetylase 3) on the expression of HMGB1(high mobility histone B1) and nuclear translocation in RAW264.7 cells, and the intervention effect of SFI(Shenfu injection). RAW264.7 cells were induced by LPS to establish a cellular inflammatory injury model, and the cells were intervened with SFI at doses of 3, 6, and 12 μL/mL for 24 h. RT-qPCR(real-time fluorescence PCR) was used to detect the transcriptional levels of HDAC3, HMGB1, IL-1β, and TNF-α in the cells, and Western-blot was used to detect the protein expression of HMGB1 and HDAC3, and immune immunoassay to detect the protein expression of HMGB1 and HDAC3.HDAC3 protein expression, immunofluorescence to observe the effect of SFI on the subcellular localization of HMGB1. ELISA to detect the secretion levels of HMGB1, IL-1β, and TNF-α in the cell supernatant. And small interfering RNA(siRNA) after targeting to silence the HDAC3 in RAW264.7 cells. to observe the effect of SFI on HMGB1 subcellular localization. Compared with the control group, the transcription and expression of HDAC3 in RAW264.7 cells in the model group were significantly reduced (P<0.01), and the expression of HMGB1 was significantly elevated (P<0.01) and simultaneously migrated from the nucleus to the cytoplasm. The inflammatory factors in the supernatant of the cells, such as HMGB1, IL-1β and TNF-α, were significantly elevated (P<0.01). And compared with the model group, SFI (6, 12 μL/mL dose group) up-regulated the transcription and expression levels of HDAC3, down-regulated the transcription, expression, and nuclear translocation of the inflammatory factor HMGB1, and inhibited the secretion of HMGB1, IL-1β, and TNF-α in RAW264.7 cells. After targeted silencing of HDAC3, a large amount of HMGB1 was localized in the cytoplasm, and there was no significant change in protein localization after LPS stimulation, and SFI could not reverse the abnormal localization of HMGB1. SFI may inhibit LPS-induced extra-nuclear migration of HMGB1 in RAW264.7 cells by up-regulating HDAC3 expression, which in turn inhibited its downstream inflammatory response.

Guangxi is located in the South China block, its structure is relatively stable, the seismic activity observed by the instrument is relatively weak. The little observation data leads to weak research on the crustal stress field in the area. In 2019, the Beiliu earthquake sequence occurrence in this area leads to the accumulation of considerable focal mechanism data. The focal mechanism data were collected in Guangxi and its adjacent areas. Using the grid search algorithm, the stress field in overall region and subregions were inverted. The results show as follows. The statistics of the focal mechanism in this area is mainly strike-slip type, and from the distribution of NW to ES, the focal mechanism of the reverse type gradually increases, and the focal mechanism of the normal fault type gradually decreases. The principal compressive stress axis of the overall stress field is NW-SE direction, the principal extensional stress axis is NE-SW direction, both of them are close to horizontal, which representing strike-slip type. The direction of the principal compressive stress axis in the western region is close to the N-E direction, and that in the east gradually changes to the direction of NW-SE, which makes the pattern of the compressive stress direction present a fan-shaped in the overall area. Based on the stress field analysis of subregions: NE-SW and NW-SE faults are easily generated in region-a by primarily of strike-slip type. NNE-SSW and NWW-SEE faults are easily generated in region-b, with NNE-SSW faults more towards reverse strike-slip type and NWW-SEE faults tending towards strike-slip type. Pure azimuth N-S and E-W faults are easily generated in region-c, but its main fault properties are not reflected due to the influence of surrounding fault extensions, with faults mainly of reverse strike-slip and reverse fault types. NW-SE and NE-SW faults are easily generated in region-d, with NW-SE faults more towards reverse fault and NE-SW faults tending towards strike-slip.

There are various evaluation methods for the effectiveness of asphalt pavement grouting repair, most of which rely on on-site testing of a single indicator. Up to now, there are few related reports in the comprehensive evaluation of multiple indicators. In order to comprehensively understand the detection methods of asphalt pavement grouting repair effect and promote the development and application from single index evaluation to multi index evaluation methods, the research status of relative methods were summarized including drilling core method, grouting plug gauge method, deflection detection method, modulus inverse algorithm, ground penetrating radar method, and transient Rayleigh surface wave method in the detection of grouting filling quality, pavement strength, pavement modulus, compaction degree, void ratio, and grouting repair degree and other indicators. Furthermore, drawing on the current research status in the fields of tunnel grouting and goaf grouting, the application prospects of fuzzy analytic hierarchy process, grey correlation degree method were analyzed, as well as subjective and objective weighting cloud model in the evaluation of grouting repair effect of internal diseases in asphalt pavement, and looks forward to the development trend of precision, objectivity, and informatization in the evaluation of grouting repair effect of asphalt pavement were forecasted. Diversified method guidance is provided for evaluating the grouting repair effect of internal diseases in asphalt pavement.

To explore the effects of typical uncertainty factors on the seismic performance of small-and medium-span bridges during design, construction, and service, a four-span continuous small box girder bridge was taken as the engineering background, and a nonlinear dynamic model was built based on OpenSees. The influence mechanisms of seismic uncertainty, modeling parameter uncertainty, and capacity uncertainty on the seismic demand of key components were analyzed. On this basis, combined with the theory of fragility analysis, the linkage effect of the above uncertainty factors in the establishment of component fragility curves was explored, and then the degree of influence of each type of uncertainty factors on the analysis of structural seismic performance was quantified. The results show that the differences in the seismic hysteresis curves of the components are mainly caused by the uncertainties of the modeling parameters, while the differences in the peak seismic response are mainly caused by the combined uncertainties of ground shaking and modeling parameters. The modeling parameter uncertainty and component seismic capacity uncertainty can lead to an increase in the probability of structural damage, which consequently makes some components unable to meet the required damage state. The consideration of the uncertainty factor increases the probability of failure of the bridge system susceptibility curve, and the effect of uncertainty increases as the degree of damage deepens, biasing the analysis results by more than 30 percent.

In order to ensure the safe and stable operation of the power system after large-scale grid-connection of new energy, it is necessary to quantitatively assess the vulnerability of the power grid before and after grid-connection. Therefore, a composite new energy power grid vulnerability analysis method based on complex networks and electrical characteristics was proposed, and the IEEE-39 node was simulated. Firstly, a vulnerability assessment system was constructed by selecting degree centrality, proximity centrality, eigenvector centrality, electric power flow interval, voltage stability and power balance, and then solving each secondary index according to the formula. Secondly, entropy weight method was used to calculate the index weight, TOPSIS method was used to rank the vulnerability of nodes before and after grid connection, and comparative analysis was made. Finally, the obstacle factor model was used to analyze the influence degree of each index on the vulnerability of power grid. The research results indicate that the number and location of new energy sources connected to the grid affect the vulnerability of the power grid. Among the influencing factors of grid vulnerability, the order of influence is voltage stability indicator > closeness centrality indicator > active power balance indicator.

In order to study the failure mode and energy dissipation law of granite with double elliptical defects, dynamic splitting tensile experiments were conducted on granite with double elliptical defect angles of 0°, 45°, 90°, and 135° using a SHPB(split Hopkinson bar) device. The relationship between the angle and spacing of double elliptical defects, as well as the failure morphology and energy of granite, was explored. The results show that when the distance between double elliptical defects remains constant, the larger the included angle, the easier the specimen is to fracture. When the angle remains constant, the spacing increases and the rock sample is more prone to fracture. The dissipated energy density of the specimen decreases with the increase of the included angle, and the downward trend gradually tends to be gentle. The failure mode of the specimen is highly sensitive to the angle, that is, as the angle increases, the degree of fragmentation of the rock sample gradually intensifies, the symmetry of the fragments disappears, the wedge effect gradually becomes obvious, and the plasticity increases. When the included angle exceeds 90°, the degree of fragmentation begins to decrease again, and the rock sample exhibits symmetrical fracture.