Myocardial ischemia is caused by the incoordination between myocardial oxygen consumption and oxygen delivery in coronary artery disease, and due to its high morbidity and mortality rate, the number of patients who die from ischemic heart disease in China is increasing year by year. In order to verify that the active ingredients of Jinlume have anti-myocardial ischemic efficacy. The maximum tolerated concentration (MTC) was determined to be 15.63 μg/mL by the pre-test, and the high school and low dose groups were divided into 7.81 μg/mL (1/2 MTC), 2.60 μg/mL (1/6 MTC) based on the MTC, respectively, 0.868 μg/mL (1/18 MTC), and the positive drug group was N-acetylcysteine (125 μg/mL). With the help of network pharmacology and molecular docking technology, the possible mechanism of action of the active ingredients of Jinlume in inhibiting cardiomyocyte apoptosis and slowing down myocardial ischemia was investigated. The results showed that the aqueous extract of Jinlume had significant effects against myocardial ischemia in comparison with the positive drug group by means of zebrafish cardiac fluorescence intensity phenotyping, and its mechanism of action was related to five pathways, namely, Rap1 signaling pathway, cancer pathway, proteoglycans in cancer, PI3K-Akt signaling pathway, lipids, and atherosclerosis. It can be seen that exploring the anti-myocardial ischemic mechanism of the active ingredients of Jinlume has certain theoretical significance for the prevention and treatment of myocardial ischemia.

In order to study the task-based functional connectivity of the whole brain in schizophrenia patients and healthy controls during task switching, the NSP(nested-spectral partition) method was used to quantify the degree of integration and segregation of the whole brain network and explain differential remodeling patterns of brain networks in schizophrenia patients and healthy controls. Results show that changes in whole-brain functional connectivity patterns in schizophrenia are driven by lower network integration and higher segregation, suggesting global and network-wide local information transfer during task switching in schizophrenia patients efficiency was lower than that of healthy controls. Furthermore, the association between task switching costs (reaction time and switching costs) and task state modularity was analyzed using simple linear correlation. Lower whole-brain modularity and lower salience network modularity in schizophrenia were found to be associated with larger switch costs but not with mean reaction times across the task. In contrast, higher cortical network modularity in healthy control patients was associated with faster task reaction times but not with shorter switch costs. Taken together, the results suggest that quantifying functional network configurations across different task states can provide information about cognitive control performance.

Traditional retinal vessel segmentation methods often face challenges such as missegmentation caused by optic disc confusion, lack of continuity in segmentation results, and imprecise segmentation in detailed regions. To address these issues, a retinal vessel segmentation algorithm was proposed based on UNet. The algorithm replaced traditional square convolutions with a fusion of horizontal and vertical one-dimensional convolutions and two-dimensional square convolutions, enhancing the representation capability of the eye region. A multi-scale branch approach was adopted to increase feature space diversity, thereby improving the network’s feature learning and expression capabilities. Additionally, to further enhance segmentation performance, multi-layer dilated convolutions was introduced into the deep structure of the autoencoder, replacing traditional simple pooling operations. This approach enlarged the convolution kernel size and expanded the receptive field, achieving a fusion of multi-scale shallow and deep feature information. The proposed algorithm was evaluated on the public DRIVE and CHASE_DB1 datasets. Experimental results demonstrates that the algorithm achieves precision (0.956 8 and 0.959 8) and F₁ scores (0.832 6 and 0.830 4), respectively. Compared with traditional UNet and recent UNet-based retinal vessel segmentation methods, the proposed algorithm shows advantages in accuracy, sensitivity, specificity, and F₁ metrics, these validation results fully demonstrate the proposed model’s strong capability in precise segmentation tasks.

During the production of monocrystalline silicon, defects generated during the crystal pulling process are recognized to severely impact product quality. Traditional visual-based defect detection methods, when applied to the detection of small protrusions in crystal pulling images, are confronted with challenges such as slow detection speeds, large parameter volumes, and difficulties in deployment on embedded terminals. In response to these challenges, an improved YOLOv8 object detection model was proposed incorporating a ContextGuided module to enhance the inference efficiency of the model. An efficient DySample was introduced into the feature fusion network to optimize the efficiency and depth of feature fusion. A lightweight network structure was adopted to reduce the complexity and computational demands of the model, making it suitable for devices with limited computing resources. The model has been trained and tested on an industrial dataset, demonstrating a more accurate detection of small protrusions with a mean average precision (mAP) of 97.7%. Compared to YOLOv8n, it exhibits an increase of 11.6% in precision and a reduction in parameter volume by 31.9%, facilitating its deployment on embedded terminals.

In order to reasonably evaluate, screen, and optimize the exterior design schemes of suspended monorail train with regional cultural characteristics, an optimization method for exterior design of suspended monorail train based on fuzzy analytic hierarchy process was proposed. Firstly, the characteristics and trends of the exterior design of suspended monorail trains both domestically and internationally were analyzed, and an evaluation index system which focusing on cultural factors for the exterior design of suspended monorail train was constructed. Then, estimate matrix based on experts scores and gained weights of each individual index by calculation was established. Finally, taking the design case of a suspended monorail train with regional cultural characteristics of Guangzhou as an example, the integration of typical regional culture and design idea, as well as the evaluation and optimization of design schemes were explained. The results show that the method can be used to screen and obtain suspension monorail train design schemes with high comprehensive satisfaction in terms of exterior form, painting, and cultural relevance. It can quantitatively evaluate design schemes from multiple dimensions and provide a basis and direction for the screening and iterative optimization of design schemes.

The vibration excitation transmission of the platform should be suppressed while ensuring the safe and reliable operation of equipment. Currently, most research on vibration reduction focuses on individual pedestals or pedestal-platform plate structures, with few studies comprehensively considering the relationship between equipment, pedestal, and platform bottom plate vibrations. ultra-deep water semi-submersible drilling platform equipment’s long base was taken as the research object and impedance analysis and optimization design technology was utilized to control input power flow of the platform bottom plate in key frequency bands. Design variables such as mass and stiffness were optimized to improve base plate thickness while maintaining support strength and stiffness. A coupling vibration control model for “equipment-pedestal-platform” was established, using a particle swarm optimization algorithm with linear weight decline for optimization. Finite element method verification results show that this technical process is feasible, reducing optimized input power flow by 95.43% in low frequencies below 300 Hz and decreasing total response level of vibration acceleration by 18.1 dB.

The rod of a fire drive production well in Xinjiang oilfield is seriously corroded, and there are many corrosion pits on the surface. In order to find out the cause of rod corrosion failure, the metallographic structure and physical and chemical properties of the failed rod were tested and analyzed, and the corrosion characteristics were analyzed by scanning electron microscope, energy spectrometer and X-ray diffraction analysis, and the failure causes were found out combined with the service conditions of the rod. The results show that the chemical composition, metalloid structure and inclusions of the D-class rod meet the standard requirements of the rod. The rod has only been in service for 1 year and 8 months and its diameter has decreased from 19 mm to 16 mm, the average corrosion rate is 1.796 mm /a, and the maximum surface corrosion pit depth is 2.1 mm. The surface of the rod is mainly attached with FeCO₃, FeS and CaCO₃. It is judged that the rod is corroded by CO₂/H₂S and underscale corrosion caused by high salinity produced water. At the same time, a large amount of Cl^- in the produced liquid promotes the development of pitting pits. It is recommended to inject corrosion and scale inhibitor into production wells with temperature lower than 50 ℃, pH value between 6 and 8, and formation water belonging to high calcium and high chlorine to protect the D-class rod and extend the service life of the rod.

Considering the characteristics of poor permeability, mixed particle sizes, and complex pore structures of conglomerates, a study was conducted on the pore structure characteristics and connectivity of the Mahu Urho Formation conglomerates using CT(computed tomography)scanning and 3D reconstruction techniques. By establishing a pore structure extraction method combining conventional threshold segmentation and top-hat algorithm, the challenge of extracting microcracks was overcome. The study reveals that the main types of pores in the Urho Group conglomerates are intergranular pores, dissolved pores, and microfractures, with the 3D pore types are mainly lamellar pore structures and isolated pore structures. Although pores with equivalent radii of conglomerate samples smaller than 30 μm account for a high proportion, their contribution to the total pore volume is relatively low. Pores larger than 60 μm, while fewer in number, occupy over 50% of the total pore volume, serving as the primary storage space. Experimental samples are predominantly characterized by level III connected domains, exhibiting good connectivity conducive to the accumulation and extraction of oil and gas. The investigation into the pore structure characteristics of strongly inhomogeneous conglomerates holds significant theoretical and practical value for an in-depth understanding of such characteristics and for the exploration and development of oil and gas reservoirs in sand conglomerates.

In order to comprehend the scale and connectivity of sandbodies in late oilfield development, it is imperative to conduct a detailed characterization of fluvial sandbodies in the upper Guantao Formation of Gudong oilfield. Through comprehensive analysis of core, well logging, and seismic data, the sedimentary characteristics of braided river and meandering river were determined under the control of dense well array. The results indicate that the upper Guantao Formation has undergone a sedimentary evolution process from braided river to meandering river. The lower Guantao Formation exhibits braided fluvial reservoir with braid bar, braid channel, and overbank sand microfacies, while the upper Guantao Formation features meandering fluvial reservoir with microfacies types such as point bar, abandoned channel, crevasse splay, and floodplain. By conducting core-log calibration analysis, the logging response characteristics and sandbody development laws of braided and meandering rivers were determined. The channel sandbody of a braided river is cut and overlapped in multiple stages while being distributed across multiple branches on a plane. On the other hand, the meandering fluvial channel sandbody develops in isolation but forms strips on a plane. Under the control of dense well array, we have quantitatively determined the scale of sandbody development for both braided and meandering rivers. Additionally, the relationship between sandbody thickness and width for different river types were established which holds significant guiding significance for identifying sandbody connectivity and 3D geological modeling.

A significant number of subsalt oil and gas fields are distributed worldwide. Due to the high costs associated with coring operations in salt formations, conducting creep experiments on specific salt rock cores is challenging. To address this issue, a method for creating artificial salt rock cores was developed wherein the degree of recrystallization was controlled by adjusting the preparation temperature and pressure. By testing the acoustic velocity, density, and uniaxial peak strength of salt rock cores under different preparation conditions, the optimal preparation conditions were identified. Creep experiments verified that the artificial salt rock cores exhibit similar creep characteristics to natural salt rock cores, indicating the feasibility of using artificial cores as substitutes for natural ones. Based on indoor creep experiments, a viscoelastic constitutive model of salt rock was constructed. The result showed that the rheological characteristics of the decelerating creep stage conform to the Kelvin model, while the steady-state creep stage aligns with the Heard model. A UMAT subroutine was compiled to describe the creep characteristics of the decelerating and steady-state stages, demonstrating a good fit and indicating the applicability of the viscoelastic model constructed in this study. Creep experiments on composite salt rocks with different contents of anhydrite showed that the presence of anhydrite inhibits the creep of salt rock. The higher the anhydrite content in the salt rock, the lower the creep rate of the rock. Therefore, in salt layers containing anhydrite, the density of drilling fluid used during drilling can be appropriately reduced.