The Tanshuling molybdenum deposit is located in the Jiangnan Uplift zone along south part of the Jiangnan Fault. Its main lithology type is granodiorite. With the aim to constrain their magma and ore-forming ages and deposit genesis, combined zircon U-Pb and molybdenite Re-Os geochronology together with whole-rock major and trace element geochemistry have been carried out. The result suggest that the content of SiO₂ is 64.5%~66.8%, Al₂O₃ is 14.4%~16.0%, K₂O is 3.92%~4.86%, Na₂O is 2.90%~3.91%, CaO is 1.56%~2.8%, MgO is 1.24%~1.53%, A/CNK value of 1.02~1.10, and A/NK value of 1.37~1.59. The characteristics of major elements show that the granites belong to metaaluminium to weak peraluminous high potassium calc-alkaline pot-assium series with I-type granite nature. The chondrite-normalized REE patterns are evidently right-declined, with relatively LREE enrichment and slight Eu negative anomalies. The molybdenite Re-Os age of the Tanshuling molybdenite is (133.09±0.86) Ma, and the U-Pb dating of the Maolin granodiorite is (140.4±0.62) Ma, (139.9±0.66) Ma, (139.6±0.63) Ma, all belong to the Early Cretaceous. Integrated chronological and geochemical characteristics show that the main magmatic activity of the Tanshuling molybdenum deposit belong to the Pacific tectonic system, and the alternation of extrusion and extensional has led to large-scale magmatic and mineralization in this area.

In view of the current situation of unclear understanding of the genesis of the low resistivity oil layer in Guantao Formation of CFD6-4 oilfield in Bohai Sea, the microscopic and macroscopic genetic mechanism of the low resistivity oil layer was systematically analyzed by using clay mineral analysis, scanning electron microscope, particle size analysis, heavy mineral analysis, core nuclear magnetic resonance and other data combined with the study of sedimentary evolution. The research shows that the low resistivity oil layer is rich in clay minerals compared with the conventional resistivity oil layer. The illite mixed layer and illite layer are bridged to fill the pores to form a conductive network. The clay minerals distributed in the porous network fully contact with the formation water to produce cation exchange, forming the microgenesis of the low resistivity oil layer. The complex pore structure leads to high capillary bound water porosity, which also leads to lower oil saturation in low resistivity reservoirs, which constitutes another cause of formation of low resistivity reservoirs. Low-resistance oil reservoirs in the study area are mainly developed at the end of the half-cycle of the rise of the medium-term base level. On the whole, the river energy is weak, and the sand-carrying capacity is reduced. For example, the fine-grained sediment of clay minerals is gradually enriched, and the increase of the proportion of fine-grained sediment causes the complexity of the pore structure of the reservoir, and the increase of the bound water saturation, which constitutes the macro cause of the development of low-resistance oil reservoirs.

Subsidence monitoring and reservoir parameters inversion in gas field can provide important supporting information for safe production protection and mining planning. The SBAS-InSAR method was used to investigate the surface subsidence evolution characteristics of Sebei gas fields from February 2022 to September 2023. Furthermore, the InSAR monitoring results were used as the observation measurements to invert the reservoir center projection coordinates, depth, strike and other parameters of the gas fields through the Prolate spheroid source. The results show that the subsidence funnel occurs in the Tainan gas field, the Sebei No.1 gas field and the Sebei No.2 gas field, and the average annual subsidence rate is -124~-109, -275~-34, and -329~-89 mm/a, respectively. Among them, the Sebei No.1 gas field and the Sebei No.2 gas field show a more significant surface subsidence phenomenon. And the surface of all three gas fields continues to sink rapidly. Further, the reservoir parameters were obtained by inversion of InSAR monitoring results. The results show that there is little difference between the deformation derived by using the optimal parameters and the observed deformation, and the spatial distribution is consistent, which indicates that it is feasible to invert the reservoir parameters of Sebei gas fields based on SBAS-InSAR deformation results.

Most of Triassic strata in Guizhou are distributed with bedding rock landslides with weak interbeds, which are characterized by strong destructiveness, complex slip mechanism and difficult treatment. Taking the West Second Ring landslide in Guiyang City as an example, the disaster mechanism and instability evolution process were explored by means of field geological investigation, theoretical analysis and discrete element numerical simulation. The results show that the West Second Ring landslide is mainly composed of dolomitic layered cataclastic rock mass with good permeability and water retention, showing a “sponge” structure, and continuous rainfall is the direct cause of the landslide. The landslide is first cut out by the front sliding body and gradually pulled upward, and then the tensile cracks at the trailing edge of the sliding body developed further, which led to slip-tensile crack failure under the action of gravity. The simulation results are basically consistent with the actual situation. The landslide in West Second Ring Road can be divided into four stages of deformation and instability: natural dissolution and cracking, excavation and unloading expansion, saturated and weakened shear, and slow sliding and accumulation. The conclusions have certain reference significance for the disaster mechanism analysis and engineering prevention of Triassic bedding rock landslide with weak interlayer in Guizhou.

To investigate the correlation between aerobic exercise and cardiac function, lipid metabolism, and inflammation in patients with cardiovascular disease, by searching PubMed, Embase, Scopus, and China National Knowledge Infrastructure (CNKI) databases for relevant studies on the effects of aerobic exercise on cardiac function, lipid metabolism, and inflammatory factors in patients with cardiovascular disease, Meta-analysis and correlation analysis were conducted using RevMan5.4 and R software. The results show that aerobic exercise significantly reduces B-type natriuretic peptide (BNP) [SMD=-0.84, 95% CI (-1.34, - 0.34), P=0.001], systolic blood pressure (SBP) [SMD=- 0.55, 95% CI (-0.86, - 0.25), P=0.000 4], and diastolic blood pressure (DBP) [SMD=- 0.99, 95% CI (-1.67, - 0.32), P=0.004], LDL [SMD=- 0.53, 95% CI (- 0.89, - 0.18), P=0.003], and C-reactive protein (CRP) [SMD=-0.53, 95% CI (-0.90, -0.16), P=0.005]. CRP is positively correlated with HDL, LDL, and DBP, with correlation coefficients of 0.35, 0.26, and 0.28, respectively. CRP is negatively correlated with SBP, with correlation coefficients of -0.31. From this, it can be seen that aerobic exercise can improve heart function, lipid metabolism, and levels of inflammatory factors to a certain extent in patients with cardiovascular diseases, and there is a correlation between heart function, lipid metabolism, and inflammation.

Considering the high-temperature thermosetting chemical issues in the manufacturing process of composite tensile armor layers, the curing kinetics of T700/epoxy prepregs were explored. Through differential scanning calorimetry (DSC) analysis and the Starink method, the autocatalytic reaction curing kinetic parameters were accurately calculated. Then a curing kinetic model was established. It has been shown by experimental results that the reaction rate of the prepreg is significantly increased at higher heating rates. After the peak is reached, the reaction rate is decreased more rapidly, resulting in a lower average final reaction heat. The apparent activation energy of the curing reaction for this prepreg is 77.04 kJ/mol, and high consistency with the experimental data is exhibited by the constructed curing kinetic model.

With the promotion of green development in civil aviation, aircraft noise has become an issue that cannot be ignored. An improved dynamic window approach (DWA) combining aircraft performance was proposed, which introduces the constraint of continuous climb operations (CCO) and constructs performance constraints for aircraft. To address the problem of rough solution set caused by traversal in traditional DWA algorithm, genetic algorithm(GA) was used for optimization. Secondly, speed was used to represent the time indirectly in order to optimize the track evaluation function. The effect of population distribution was added to make the model more reasonable. Finally, taking the departure direction of BOKIR-8T at Chengdu Shuangliu Airport as an example, the improved algorithm (DWA-GA) was compared with the traditional DWA algorithm, and the flight path under the influence of population distribution was compared, and the aircraft performance parameters and noise influence range were analyzed. The simulation results show that the improved algorithm is more accurate than the traditional DWA algorithm at low resolution, and the population distribution has obvious influence on the track.

To address the challenges of extracting and identifying fault features from roadheader cutting vibration signal, a new fault diagnosis method of roadheader cutting head based on the refine composite multi-scale fuzzy dispersion entropy(RCMFDE) and hippo optimized random forest(HORF) was proposed. Firstly, RCMFDE was used to comprehensively characterize the fault feature information of the roadheader cutting head, and the fault feature data set was constructed. Secondly, the fault type was trained and tested by the HORF to realize the fault pattern recognition of the cutting head of the roadheader. Finally, the proposed method was applied to the experimental data analysis of the cutting head of the roadheader, and compared with the existing multi-scale fuzzy entropy and fine-complex multi-scale spread entropy fault feature extraction methods. The results of the trial indicate that RCMFDE performs better than the other two entropy approaches in discovering defect features, and hippo random forest outperforms extreme learning machine and support vector machine in error recognition. The fault diagnosis method can more correctly recognize the error type of the cutting head of the roadheader, and the rate of accuracy of the recognition obtained 100%.

The issues of idler blocking during belt conveyor operation were addressed, which leads to excessive friction and abnormal temperature rise between idlers and conveyor belts. A friction surface temperature rise model for faulty idlers and conveyor belts was established based on microscopic friction theory, considering the phenomenon of hysteresis-induced heat generation and utilizing the virtual work approach. The finite element method was employed to conduct a thermo-mechanical coupling simulation on the friction model to analyze the effects of belt speed and load on temperature rise. An experimental platform was constructed to investigate the heat generation from friction between faulty idlers and conveyor belts, where an infrared thermal imager was utilized to monitor the temperature rise under varying parameters. The results indicate that the friction-induced heat generation between faulty idlers and conveyor belts positively correlates with both belt speed and load. An increase in either factor results in heightened heat generation, with the heat being primarily concentrated on the surface of the faulty idlers. The maximum deviation between experimental values and theoretical calculations is 8.7%, confirming the reliability of the theoretical model. Corresponding measures are proposed based on these findings.

China’s tight oil reservoirs have distinctive characteristics, including thin interbedded layers with alternate distribution in the longitudinal direction and strong reservoir heterogeneity. In order to maximize productivity and economic benefits, a development approach was commonly employed, involving a well network with layered fracturing for the simultaneous development of multiple layers. However, existing productivity models for fractured directional wells are only applicable to single-layer development and do not consider inter-layer interference, making them unsuitable for predicting well productivity of multi-layer development. In order to improve the accuracy of productivity prediction, the flow field nearby the fractured directional well is divided into the main fracture region, the stimulated reservoir volume region, and the un-stimulated reservoir volume region. Considering the effects of flow patterns in different regions and stress sensitivity, and introducing a disturbance coefficient, a non-steady-state productivity prediction model for multi-layer fractured directional well in tight oil reservoirs was established. After validating the model accuracy, the influence of fracture half-length, fracture conductivity, threshold pressure gradient, stress sensitivity and reservoir heterogeneity on the productivity of fractured directional well was further investigated. The results indicate that the threshold pressure gradient, stress sensitivity and longitudinal heterogeneity significantly affect the productivity of fractured directional well. The larger the threshold pressure gradient, and the more significant the stress sensitivity and longitudinal heterogeneity, the lower the productivity of fractured directional wells. With the gradual increase in fracture half-length, fracture conductivity, and matrix permeability, the productivity of fractured directional wells increases, but each factor has its optimal range. The ranking of factors affecting productivity is as follows: matrix permeability, fracture conductivity, fracture half-length, threshold pressure gradient, longitudinal heterogeneity, stress sensitivity.