Errenshan area of Weiningbeishan is located in the southern margin of Alashan microcontinent, which is one of the important hydrothermal polymetallic mineralization areas in Ningxia. In order to serve the next prospecting in the periphery and deep part of the area, the multidimensional anomaly system in this area was discussed on the basis of borehole rock geochemical survey. The results show that in the known polymetallic ore bodies in this area, there are negative anomaly systems characterized by major element Na₂O, mineralization agent element anomaly system represented by S, mineralization and associated element anomaly system, etc., which confirms the existence of multidimensional anomaly system. Under the guidance of the theory of multi-dimensional anomaly system, the metallogenic conditions and favorable areas of metallogenic potential in the study area are further delineated. The research result is a new attempt to optimize geochemical exploration methods for hydrothermal polymetallic deposits in Weiningbeishan area, and has important practical value for geological prospecting in this area.

Cardiac arrest and global cerebral ischemia-reperfusion injury after cardiopulmonary resuscitation (CPR) are common pathological conditions in critically ill patients, with high mortality and disability rates. Currently, the conventional asphyxia method is commonly used to establish a brain injury model after CPR. However, it has a low resuscitation success rate and postoperative survival rate. Therefore, a modified asphyxia model of cardiac arrest and global cerebral ischemia-reperfusion injury after CPR was established and compared it with the conventional asphyxia method to evaluate its advantages. Sprague Dawley(SD) rats were randomly divided into a conventional group and a modified group. The conventional asphyxia method and the modified asphyxia method were used to establish the models, respectively. The resuscitation success rate and 24-hour survival rate were observed. Neurological deficits were assessed using neurological deficit scores. Hematoxylin-eosin staining was used to observe pathological changes in brain tissue. Transmission electron microscopy was used to examine neuronal ultrastructure. Western Blot analysis was performed to detect inflammatory, oxidative stress, and apoptotic markers. The results show that compared with the conventional asphyxia method, the modified asphyxia method has a higher resuscitation success rate and 24-hour survival rate. No significant differences are observed in brain injury, inflammation, oxidative stress, and apoptosis between the two methods. The modified asphyxia method meets the requirements for studying global cerebral ischemia-reperfusion injury.

In order to solve the problem of combining plasma equipment with robots to process casting risers, where variations in riser dimensions due to mold accuracy necessitate precise trajectories and poses for proper arc initiation and operation, a method based on a process parameter library was employed for investigation. This method was comprised of process parameter library, analysis module, similarity measurement module, path generation module, and parameter module. Through the construction of two-stage comparison method, target parameters can be quickly filtered from the library. Using path generation algorithms and deep learning algorithms, working paths and process parameters matching the point cloud model were obtained. The results show that this method can accurately generate operational trajectories and poses based on the workpiece, enabling the reduction of manual intervention, lowering of operational complexity, and enhancement of the reliability and safety of the cleaning operations for coupler castings.

Collapse, as a common geological hazard in China, are widely distributed, highly concealed, sudden, and pose significant risks. In southwestern China, where disaster-prone red beds are extensively distributed, high cutting slopes are highly susceptible to landslides and collapses if not promptly managed, especially under the combined effects of back-end catchment and freeze-thaw cycles. Taking the collapse at Shejian Town in Guangyuan as a case study, on-site investigations, image analysis, and formula calculations were conducted to examine the failure mechanisms of red bed high cutting slopes influenced by back-end catchment and freeze-thaw effects, aiming to provide insights for disaster prevention in infrastructure development within red bed regions. The results indicate that the unique topography and climate conditions of the study area contribute to abundant rainfall, creating a water-intensive environment due to the extensive back-end catchment in the collapse area and infiltration from irrigated farmlands. The prolonged saturation of rock masses, combined with repeated freeze-thaw cycles, significantly weakens the rock strength, reducing the tensile strengths of sandstone and mudstone to 166.12 kPa and 72.77 kPa, respectively. Both values are lower than the fracture water pressure of 174.87 kPa in the fractures of the red bed cut slope, ultimately leading to the occurrence of the collapse. Given the variations in failure modes of red bed high cutting slopes with different rock structures under the effects of back-end catchment and freeze-thaw cycles, it is recommended to enhance drainage measures during prevention efforts and to implement targeted treatments based on the identified failure modes.

In order to address the problems of poor flame stability, low combustion efficiency and high lean-combustion limit in traditional direct-fired porous media burners, five porous media burners with different pore arrangements were constructed for low-concentration methane (LCM) combustion experiments, and the effects of porous media arrangements, equivalence ratios and flow rates on the combustion properties of LCM were investigated. CH₄ conversion, pollutant emissions and flue gas temperatures were also analyzed under lean combustion conditions. The results show that the E-type gradually-varied porous media burner exhibits the optimal LCM combustion adaptability, which can partially compensate for the interface temperature perturbation and improve combustion stability during LCM combustion. At an equivalence ratio of 0.39 and a flow rate of 50 L/min, the stationary combustion time of LCM in the burner exceeds 140 min and the flame position is consistently maintained at 60 mm. The LCM combustion in the E-type porous media achieves a CH₄ conversion of 99.99% with CO and NO_x emissions of 531×10^-6 and 23×10^-6, respectively, generating high-quality flue gas with a mean temperature of more than 588 ℃ that can be employed in industrial production. The research results provide an important reference for improving the utilization efficiency of low-concentration methane in coal mines and reducing methane emissions.

Compressive strength is an important index to characterize the mechanical properties of filling body. It is of great significance to ensure the safety of stope by quickly and accurately determining the compressive strength of filling body. In order to explore the influence law of the strength of multi-source coal-based solid waste filling body and accurately predict the strength of coal-based solid waste filling body to guide the safe, efficient and green mining of coal mine, the influencing factors of the compressive strength of coal-based solid waste filling body were studied by orthogonal test with coal gangue as coarse material, desulfurization gypsum, gasification slag and bottom slag as fine material, fly ash and cement as cementing agent. The grey correlation degree analysis method was used to analyze the correlation between each test factor and the compressive strength of filling body. The strength prediction of coal-based solid waste backfill at different curing ages was carried out by using 5-11-3 three-layer back propagation(BP) neural network structure. The results show that the influence of concentration, gasification slag and desulfurization gypsum content on compressive strength increases with the increase of curing age, and the influence of fly ash and bottom slag content on compressive strength increases first and then decreases with the increase of curing age. Orthogonal test combined with BP neural network can reduce the number of tests without losing generality. The correlation coefficient R of strength prediction of coal-based solid waste backfill is 0.999 87. It can be seen that high concentration and high content of gasification slag and desulfurization gypsum are of great significance for filling body requiring high strength. At the same time, orthogonal test combined with BP neural network can accurately predict the strength of filling body.

The spatial variation characteristics of soil fertility in potato growing area were clarified to provide theoretical basis for soil precise fertilization and fertilizer management in the study area. Taking Keshan Farm in Heilongjiang Province as the study area, 100 sample points were selected in the potato growing area, and soil pH, organic matter, total nitrogen, total phosphorus and total potassium were selected as the indicators to evaluate soil fertility. Geostatistics and geographic information system(GIS) were combined to analyze the spatial variation characteristics of soil nutrients, and soil comprehensive evaluation method was used to evaluate soil fertility in the study area. Results show that the soil is weakly acidic and the pH variation coefficient is small. The contents of organic matter, total nitrogen, total phosphorus and total potassium are at medium and high levels, belonging to moderate intensity variation. Soil pH is a moderate spatial autocorrelation, and the spatial autocorrelation of organic matter, total nitrogen, total phosphorus and total potassium is weak. The spatial accumulation of organic matter and total nitrogen is significant. The spatial variation of soil nutrients in the study area is obvious, showing an east-west direction, and the content of soil nutrients in the middle of the study area is relatively low. The soil fertility in the study area is above the medium level, and the area with good fertility accounts for 72% of the total area. The soil fertility of Keshan farm is good, which can meet the needs of potato growth. Human factors are the main factors affecting soil nutrient content.

The reservoir of Chang 7 in Heshuinan area of Ordos Basin has high salinity of formation water and strong heterogeneity of mud content, which leads to unclear understanding of oil-water distribution and main controlling factors. It seriously restricts the efficient development of the oilfield. In order to improve the efficiency and accuracy of the identification of oil-water layer and clarify the distribution law of oil and water, the intelligent random forest method was used to interpret the fluid properties on the basis of logging, oil test and production test data, and defined the distribution law of oil and water in Chang 7 in Heshuinan area. In addition, the controlling factors of oil and water distribution were analyzed from various angles by combining the experiments of constant rate mercury injection, CT (computerized tomography) and nuclear magnetic resonance. The results show that the accuracy of the fluid properties interpretation can reach 78.9% by using random forest method. In the vertical direction, the oil layer developed in Chang 7₁ is better than that in Chang 7₂, and the oil-water layer and water layer are mainly developed in Chang 7₂. In the plane direction, the eastern oil layer is thicker and distributed more continuously, and the southwest oil layer near the B60 well area has higher water content. The fluid properties inside the reservoir are controlled by the shale content, the pore structure and the viscosity of crude oil. The pore size and the connectivity of pore throat of the reservoir are affected by the content of mud. The pore structure of the reservoir and the viscosity of crude oil together control the fluid mobility, thus affecting the spatial distribution of oil and water in Heshuinan area.

The study area is located in the southeastern part of the Badanjilin Basin, in the Benbatu region. Multiple airborne radiometric anomalies have been discovered in the area. To further explore the causes of these anomalies and provide references for subsequent uranium exploration work, these airborne radioactive anomalies were classified, summarized, ground verified, and analyzed for their potential for uranium mineralization. The results show that there are two types of anomalies in the area, one is a densely distributed strong anomaly in the central part, which is mainly an airborne radiometric anomaly for exploring hard sandstone-type uranium ores. The other is a weak anomaly distributed in a strip in the southeast, which is mainly an anomaly for exploring in-situ leachable sandstone-type uranium ores and represents a new type of uranium mineralization discovered in the area. By combining regional geological data, the potential for mineralization of the weak anomalies HFU-03 and HFU-04 was analyzed. The research results provide new clues and ideas for the types of uranium exploration in the area.

The Chang 6₃ sand formation in Block A of Ordos Basin is an ultra-low permeability reservoir, which is difficult to be conventionally exploited. At present, horizontal well fracturing is widely used for development. According to the physical characteristics of ultra-low permeability reservoir, the geomechanical model and fracturing simulation software, combined with embedded discrete fracture method were used to characterize the artificial fractures generated by fracturing simulation of Chang 6₃ sand formation, and carried out numerical simulation research based on this. Through this integrated process, the integrated simulation of complex fracturing of horizontal wells were realized, and the efficiency of horizontal well development was improved. The results show that the embedded discrete fracture method can effectively combine fracturing and numerical simulation, and realize the integrated flow from fracturing to numerical simulation of horizontal wells. The accuracy of the numerical model was verified by the historical fitting of the production mode of fixed oil production. By adjusting the relevant parameters to optimize the model, it is more in line with the actual production situation of the well group, which is conducive to the subsequent development plan adjustment and production forecast.