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177Lu- prostate specific membrane antigen (PSMA) radio-ligand therapy has been approved abroad for advanced prostate cancer and has been in several clinical trials in China. Based on domestic clinical practice and experimental data and referred to international experience and viewpoints, the expert group forms a consensus on the clinical application of 177Lu-PSMA radio-ligand therapy in prostate cancer to guide clinical practice.

为了探索和建立生物催化在油脂副产品利用中的应用策略，将皱褶假丝酵母脂肪酶（CRL）固定在磁性壳聚糖（Fe3O4@CS）载体上制备磁性固定化脂肪酶（Fe3O4@CS-CRL）。采用X射线衍射仪（XRD）、扫描电子显微镜（SEM）和振动样品磁强计（VSM）对Fe3O4@CS-CRL进行了表征，测定了Fe3O4@CS-CRL的脂肪酶负载量、比活性及酶学稳定性,并将其用于催化水解大豆酸化油生产脂肪酸，通过单因素实验研究了催化反应条件对水解率的影响，考察了催化剂的重复使用性。结果表明：制备的Fe3O4@CS-CRL保留了Fe3O4的磁性晶型，呈球形颗粒状，饱和磁化强度为61.1 emu/g，脂肪酶负载量为5.53 mg/g，比活性为7.70 U/g；相比游离CRL，Fe3O4@CS-CRL具有较好的热稳定性、pH稳定性、有机溶剂稳定性及储存稳定性；Fe3O4@CS-CRL催化水解大豆酸化油生产脂肪酸最佳反应条件为反应温度40 ℃、水油比2∶ 1(PBS与大豆酸化油体积比)、催化剂用量15% (以大豆酸化油质量计)、反应时间36 h，在该条件下大豆酸化油的水解率达到84.93%；Fe3O4@CS-CRL经过5次重复使用后保持了61.4%的初始水解活性。综上，Fe3O4@CS-CRL在酸化油中进行催化反应拓宽了固定化CRL的应用范围，该催化反应体系是一种油脂精炼行业副产品的可持续高效利用方式，在代替传统高能耗工业反应中具有良好的前景。To explore and establish strategies for the application of biocatalysis in the utilization of oil by-products, Candida rugosa lipase (CRL) was immobilized on magnetic chitosan (Fe3O4@CS) to prepare magnetic immobilized lipase (Fe3O4@CS-CRL). The Fe3O4 @ CS-CRL was characterized by X-ray diffraction (XRD), scanning electron microscopy (SEM) and vibrating sample magnetometer (VSM). The lipase loading, specific activity and enzymatic stability of the Fe3O4@CS-CRL were determined. The Fe3O4@CS-CRL was used to catalyze the hydrolysis of acidified soybean oil to produce fatty acids, and the effect of the catalytic reaction conditions on the hydrolysis rate was studied through single factor experiment, and the reuse performance of the catalyst was investigated.The results showed that Fe3O4@CS-CRL retained the magnetic crystal form of Fe3O4, with spherical granule, saturation magnetization strength of 61.1 emu/g, lipase load of 5.53 mg/g, and specific activity of 7.70 U/g. Compared with free CRL, Fe3O4@CS-CRL had better thermal, pH, organic solvent and storage stability, and the optimal reaction conditions for the production of fatty acids from acidified soybean oil catalyzed by Fe3O4@CS-CRL were reaction temperature 40 ℃, water-oil volume ratio 2∶ 1(PBS to acidified soybean oil), enzyme dosage 15% (based on the mass of acidified soybean oil), and reaction time 36 h. Under the optimal conditions, the hydrolysis rate of acidified soybean oil reached 84.93%. In addition, the catalyst Fe3O4@CS-CRL maintained 61.4% of its initial activity after five times of reuse. In conclusion, the Fe3O4@CS-CRL catalytic reaction in acidified oil broadens the application range of immobilized CRL. The catalytic reaction system is a sustainable and efficient use of by-products of oil refining industry, and has a good prospect in replacing the traditional industrial reaction with high energy consumption.

Background An increasing number of objective measurements are used to explore the dose-effect relationship of Tuina, but infrared thermal imaging has been rarely used. Objective To compare the temperature, muscle tone and pain threshold in the lesion area yielded by different times (3, 5 and 7) of Tuina with cross-palm pressing manipulation using infrared thermal imaging, providing a basis for the use of infrared thermal imaging to study the dose-effect of Tuina. Methods Eighteen patients with thoracic facet joint disorder (T3-T4) who visited Tuina Department, Guangdong Provincial Hospital of Chinese Medicine (Dade Road Main Hospital) from 17th June, 2021 to 24th December, 2021 were recruited and randomized into three groups by the number of Tuina with cross-palm pressing manipulation: 7-time group (n=6), 5-time group (n=6) and 3-time group (n=6). The infrared thermal imager was utilized to obtain a full body infrared thermogram, and extract the average temperature in the lesion area. The muscle tone of the erector spinae muscle adjacent to the affected thoracic vertebrae was measured by the tissue tension test. The pain pressure threshold of the site adjacent to paraspinal process of the affected thoracic vertebra was measured by the pain-threshold analyzer. Results After intervention, the temperature on the site 0.5 inch to the right spinous process of T3 (T3 R) or T4 (T4 R) in 3-time group decreased significantly (P

Objective: This study aimed to explore the value of monoenergetic imaging using dual-layer spectral detector computed tomography (CT) for dacryocystography. Methods: Dacryocystography was performed in patients with clinically suspected lacrimal duct obstruction using a Philips IQon dual-layer spectral detector CT. The objective evaluation included the signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) of each monoenergetic image, subjective rating of image quality, and the site and degree of lacrimal duct obstruction. Results: The SNR and CNR of 50 keV images was 9.76±13.44 and 10.24±13.88, respectively, which were significantly lower than that of 70~200 keV images. The subjective scores for 50 keV and conventional image quality were (5, 5) and (4, 5), respectively, indicating good consistency in subjective scores among radiologists. Conclusion: The SNR and CNR of CT dacryocystography increased significantly at 50 keV.

Rock blasting technology is crucial for national economic development, particularly resource extraction and infrastructure construction. This paper explores the constitutive relationships in rock blasting, proposing three evolutionary stages: constitutive relationships 1.0, 2.0, and 3.0. These stages focus on contradictory relationships, energy balance, and minimum action theory, respectively. Constitutive relationship 1.0 centers on the interaction between rock and explosive impact loads, emphasizing the offense–defense dynamic. It analyzes the dynamic mechanical response of rock materials under explosive and impact loads, highlighting the conflict and balance between the explosive force and the rock resistance. This stage provides fundamental insights into the behavior of rock materials under high-stress conditions. Constitutive relationship 2.0 approaches the problem from an energy perspective. It treats rocks with significant anisotropy, joints, fractures, bedding, and cavities as complex structural materials. This stage studies the dynamic equilibrium between load input energy and the energy required to destroy the material. By understanding the relationship between structural strength, input energy, dissipated energy, and releasable strain energy, researchers can better predict the response of complex rock structures to explosive loads and improve blasting efficiency. Constitutive relationship 3.0 examines the propagation laws of stress waves under explosive loads and their relationship with medium damage effects. This stage focuses on optimizing energy propagation paths based on the minimum action theory, aiming to maximize the effectiveness of the explosive force while minimizing unwanted damage to the surrounding rock mass. These theories not only reveal the mechanical behavior of rocks under different load conditions but also provide a theoretical basis for optimizing blasting design and improving blasting outcomes. In addition to these theoretical advancements, the integration of artificial intelligence and big data technologies offers a new approach to managing and predicting rock material performance. This paper proposes the concept of rock material engineering genes, which involves establishing a rock gene library to systematically manage the physical and mechanical parameters of rocks. By constructing performance prediction models using advanced data analytics and machine learning algorithms, this approach enhances the accuracy of predicting how different rock types will respond to various engineering applications. Such a comprehensive database has significant implications for resource extraction, geological disaster prevention, and infrastructure construction. The rock material gene library is expected to play an increasingly important role in mineral resource development, geological disaster prevention, and infrastructure construction, thereby promoting the development and application of engineering technology. Its integration with traditional blasting techniques can lead to more efficient and safer methods of rock blasting, ultimately contributing to the advancement of engineering practices and economic development of regions dependent on these technologies. This holistic approach underscores the importance of continued research and technological innovation in rock blasting and material science.

Industrialized tests are conducted to produce 20MnTiB cold heading steel with varying Ce contents. A Vickers hardness tester, tensile tester, impact tester, optical microscope, and scanning electron microscope are used to study the deterioration of inclusions in the steel and observe the changes in microstructure and mechanical properties of the hot-rolled wire rod after Ce addition. The application mechanism of Ce is also analyzed. The results show that the S content in the molten steel decreases, and the cleanliness is significantly improved after the addition of 0.0025% Ce. The inclusions in the wire rod transform from large-sized and elongated Al2O3·MgO·CaO·CaS composite inclusions to small-sized and spherical CeAlO3·MgO·CaO·CaS composite inclusions. Concurrently, the long strips of MnS inclusions disappear. Thermodynamic calculations indicate that at 1839 K, the order of precipitation of different Ce inclusions is as follows: CeAlO3 > Ce2O3 > Ce2O2S > CeO2 > Ce3S4 > Ce2S3 > CeS. This suggests that with a Ce mass fraction of 0.0025%, the most probable inclusions are CeAlO3. Considering that 20MnTiB cold heading steel contains B, Ti, and other hardenability elements, improper process control during hot rolling can easily lead to the formation of a bainite structure in the wire rod. This causes the mechanical strength of the wire rod to be higher than desired, leading to occasional cracking during late cold heading and significant wear on the cold heading mold. After the addition of Ce, the microstructure of the wire rod is refined, with an increased proportion of ferrite and a reduction in both the presence and size of granular bainite. Ferrite is a soft and tough phase, while bainite is a reinforcing phase. The reduction in granular bainite and the increase in ferrite contribute to a decrease in strength and hardness. Lower hardness and strength are beneficial for improving the cold heading performance of the wire rod. After Ce addition, the cold heading performance of the wire rod is improved to a certain extent. Additionally, the ambient-temperature impact toughness of the wire rod significantly increases from 31.7 to 52.3 J with the addition of Ce, an increase of 65.0%. This substantial increase in impact performance further enhances the cold heading performance of the wire rod. The reduction in hardness and mechanical strength, combined with the significant increase in impact properties, makes the rare-earth microalloyed hot-rolled wire rod more suitable for cold heading applications. These research results provide technical and theoretical support for the further development of new rare-earth microalloyed cold heading steels.

The Screening Tool of Older Person's Potentially Inappropriate Prescriptions (STOPP) and the Screening Tool to Alert to Right Treatment (START) were initially developed by a panel of experts from Cork University Hospital, Ireland in 2008, and underwent a second update in 2015. Since their inception, these criteria have played a pivotal role in identifying potentially inappropriate medication use in the elderly, enhancing oversight of medication misuse in older individuals, and reducing adverse drug events among the elderly. In 2023, the third edition of the STOPP/START criteria was released, providing updated and more practical evidence-based guidance. Building upon the second edition, this iteration includes the addition, revision, and removal of certain criteria, resulting in a total of 190 new standards for potentially inappropriate medication use. This latest version incorporates the most recent research findings and clinical evidence related to appropriate medication use in older adults. We provide a detailed analysis of the STOPP/START criteria (version 3), offering valuable insights for the updating and refinement of potentially inappropriate medication criteria in our country. Furthermore, it presents recommendations for future research in this field.

After 50 years of research on the correlation between the geomagnetic field and climate, we have gained a deeper understanding that the regulation of climate by geomagnetic field changes is far more complex than previously imagined. In this paper, we comprehensively review the research connecting the geomagnetic field and climate over the past 50 years, examining different spatial and temporal scales. Our results demonstrate a significant correlation between geomagnetic field changes and climate at various scales, including millennial-scale geomagnetic reversals, thousand-year-scale geomagnetic shifts, centennial-scale geomagnetic abrupt, and even decadal-scale variations in geomagnetic activity. The Matuyama–Brunhes geomagnetic reversal is associated with the cold climate. The increase in galactic cosmic rays (GCR) during this period gave rise to the formation of low-altitude cloud "umbrella effects", subsequently weakening the East Asian summer monsoon and intensifying the East Asian winter monsoon. Archaeomagnetic data from Mesopotamia remarkably illustrates a consistent correlation between four cold periods in the last three thousand years and a sudden increase in geomagnetic anomalies. Exploring the possibility that these geomagnetic anomalies correspond to extreme tilts of the Earth's dipole, it is hypothesized that auroral ovals and sub-auroral regions may have expanded to lower latitudes. In these regions, cosmic rays potentially interacted with a more humid troposphere, resulting in increased cloud cover and, consequently, observed atmospheric cooling. Changes in GCR flux, induced by solar activity and variations in the geomagnetic field, are proposed to have significant implications for alterations in temperate pressure systems, precipitation patterns, and atmospheric electric fields. These effects play diverse roles within the intricately coupled system of the Earth's atmosphere and the near-Earth space environment. However, it's important to note that correlation does not imply causation, and the potential mechanisms by which the geomagnetic field influences climate change are still a subject of debate. The cosmic ray-cloud mechanism is the most promising avenue for understanding how the geomagnetic field regulates climate, operating effectively across different time scales, but its exact physical mechanisms and relative importance remain unresolved issues. We propose that understanding the correlation between the geomagnetic field and climate from the perspective of solar-terrestrial multisphere coupling is crucial, with a specific focus on the response of regional climate systems to changes in regional magnetic fields. By integrating knowledge from ancient times to the present, from regional to global perspectives, we aim to form a comprehensive understanding of the correlation between the geomagnetic field and climate change. The recent successful launch of Aoke-1, which can delicately characterize magnetic field changes in the South Atlantic Anomaly (SAA), the first discovery of the centennial-scale western Pacific anomaly (WPA), and the rapid development of paleomagnetic/archaeomagnetic and paleoclimate data reconstruction have provided new historical opportunities for research on the geomagnetic field and climate. This progress indicates that the study of the impact of geomagnetic field changes on climate will be propelled to new heights.

Experimental modal analysis is a method of measuring the natural vibration characteristics of a structure through experiments. The analysis results are mainly used to modify the structural dynamic models and provide data support for structural dynamics，aeroelastic analysis and vibration control design. This article systematically reviews the research progress of experimental modal analysis methods at home and abroad，starting from two aspects：classic experimental modal analysis methods and modern modal analysis methods，and summarizes the basic principles of the two mainstream methods，the classic phase resonance method and the phase separation method， briefly introduces the experimental modal analysis methods developed in recent years，and summarizes the characteristics of different modal analysis methods. Finally，the current problems and possible future development trends of experimental modal analysis methods are given.

Objective To study the efficacy and safety of secukinumab in the treatment of moderate and severe plaque psoriasis in children. Methods A total of 10 children with psoriasis were enrolled at Yongcheng Central Hospital from November 2021 to November 2022. All patients were treated with subcutaneous injection of secukinumab and followed up for 52 weeks. The psoriasis area and severity index (PASI) and childrens' dermatology life quality index(CDLQI) were evaluated, and adverse reactions were observed. Results After 4 weeks of the treatment, 8 patients achieved PASI 75, among which 7 patients achieved PASI 90 and PASI 100 was observed in 5 patients. After 8 weeks of the treatment, all 10 patients reached PASI 75, including 8 patients with PASI 100. After 12 weeks, all 10 patients achieved PASI 100. By 52 weeks, 9 patients reached PASI 75, including 8 patients with PASI 90 and 7 patients with PASI 100. After 4 weeks of the treatment, CDLQI scores were significantly decreased and declined to 0 by 52 weeks. No adverse reactions were observed in all patients. Conclusions Secukinumab can rapidly improve moderate to severe plaque psoriasis in children and exhibits long-lasting benefit. It is safe and can quickly improve the quality of life of the children.

In the context of the development of new power systems, a three-dimensional spatio-temporal adaptation assessment model based on grid satisfaction, spatio-temporal resources, and effectiveness improvement is proposed to address the problems of distribution network planning and construction, the adaptability of key distribution network technologies to the space and time in which they are applied, and the difficulty of quantifying application defects. Subjective assignment in hierarchical analysis is improved using continuous interval ordered weighted average operator, and the problem of bias of the single assignment method is solved by the introduction of a subjective-objective combination assignment method constructed by the conflicting correlation among criteria method. The degree of affiliation of each indicator is determined using the fuzzy integrated evaluation method and the evaluation level is then obtained. The case studies show that the proposed method can quantify the degree of fit between the key technologies of the distribution network and the space-time, identify the adaptability of the key technologies to different space-times and the degree of satisfaction of the application of the technologies in different space-times, and reveal the weaknesses of the key technologies of the distribution network, which can help improve the efficiency and effectiveness of the investment in the distribution network and better serve the high-quality development of the economy and society.

This is an article in the field of mineral processing engineering. Compared with foam flotation, the hydrophobic-hydrophilic two-liquid separation has a greater advantage in the recovery of ultra-fine particles (coal 30～50 μm, non-coal 10～20 μm). Based on oil agglomeration, Otiska process, displacement dehydration, dual-liquid flotation and low boiling point non-polar liquid recovery, a new kind of hydrophobic-hydrophilic dual-liquid separation technology (HHS) can promote the full fragmentation and redistribution of ultra-fine aggregates in the dual-phase system, so as to achieve the purpose of flooding water and ash reduction. In this article, the development of hydrophobic-hydrophilic separation in recent years was summarized and compared from the aspects of HHS coal preparation process, aggregate crushing theory, feasibility of hydrophobic liquid recovery, technological advantages compared with foam flotation and oil agglomeration, and dehydration of fine coal, in order to provide references for the further development.

目的 分析不同民族缺血性卒中患者对基于快速细胞色素P450酶家族2亚家族C成员19 （cytochrome P450 family 2 subfamily C member 19，CYP2C19）基因检测指导抗血小板治疗方案的反应差异。 方法 前瞻性连续纳入2023年1—7月在南宁市第三人民医院住院治疗的汉族（对照组）和壮族（试验组）非心源性轻型缺血性卒中患者。所有患者在CYP2C19基因检测结果指导下进行抗血小板治疗：对于基因表型为氯吡格雷快代谢的患者，抗血小板药物选择硫酸氢氯吡格雷；对于中间代谢或慢代谢的患者，抗血小板药物选择阿司匹林肠溶片或替格瑞洛片。随访90 d，记录mRS评分、日常生活能力量表（activity of daily living scale，ADL）评分、NIHSS评分以及90 d缺血性卒中累积复发率。 结果 共纳入1036例缺血性卒中患者，对照组743例，CYP2C19基因检测结果显示，氯吡格雷快代谢、中间代谢、慢代谢型患者分别为299例（40.24%）、345例（46.43%）和99例（13.32%）。试验组293例，氯吡格雷快代谢、中间代谢、慢代谢型患者分别为107例（36.52%）、161例（54.95%）和25例（8.53%）。两组不同CYP2C19基因表型的比例差异无统计学意义。随访90 d，两组间的mRS评分、ADL评分、NIHSS评分差异无统计学意义。对照组和试验组的90 d缺血性卒中累积复发率分别为5.52%（41/743）和5.12%（15/293），差异无统计学意义。 结论 基于CYP2C19基因检测指导的抗血小板治疗在汉族和壮族的缺血性卒中患者人群中，预防缺血性卒中复发的效果相似。 Abstract: Objective To analyze the difference in response of antiplatelet therapy guided by cytochrome P450 family 2 subfamily C member 19 (CYP2C19) gene detection in ischemic stroke patients of different ethnic groups. Methods The prospective study consecutively included Han (the control group) and Zhuang (the experimental group) patients with non-cardiogenic mild ischemic stroke who were hospitalized for treatment at the Third People’s Hospital of Nanning from January to July 2023. All patients were administered antiplatelet therapy, with the choice of medication guided by CYP2C19 gene detection results. Fast metabolizers were given clopidogrel bisulfate, while intermediate or slow metabolizers were given enteric-coated aspirin or ticagrelor. A follow-up period of 90 days was established to record the mRS scores, activity of daily living scale (ADL) scores, NIHSS scores, and the cumulative recurrence rates of ischemic stroke at 90 days. Results A total of 1036 patients with ischemic stroke were included, with 743 in the control group. The results of the CYP2C19 gene detection showed that there were 299 (40.24%) fast metabolizers, 345 (46.43%) intermediate metabolizers, and 99 (13.32%) slow metabolizers of clopidogrel. In the experimental group, there were 293 patients, with 107 (36.52%) fast metabolizers, 161 (54.95%) intermediate metabolizers, and 25 (8.53%) slow metabolizers of clopidogrel. The differences in the proportion of different CYP2C19 genotypes between the two groups were not statistically significant. After a 90 days follow-up, there was no significant difference in mRS scores, ADL scores, and NIHSS scores between the two groups. The cumulative recurrence rates of ischemic stroke at 90 days for the control group and the experimental group were 5.52% (41/743) and 5.12% (15/293), respectively, with no statistically significant difference. Conclusions Antiplatelet therapy guided by CYP2C19 gene detection has similar effects in preventing the recurrence of ischemic stroke in Han and Zhuang patients.

Objective To provide foundational data for exploring the association between KIR genes and diseases by analyzing the frequency and polymorphism of killer-cell immunoglobulin-like receptor (KIR) genes in Han, Manchu and Korean populations in Jilin Province. Methods KIR gene typing was performed on 129 Manchu, 198 Korean and 201 Han individuals from Jilin using the polymerase chain reaction-sequence specific primers (PCR-SSP) technique. Results KIR3DL2, KIR3DL3, KIR3DP1 and KIR2DL4 were detected in all subjects. KIR2DL1, KIR2DL3, KIR2DS4, KIR3DL1 and KIR2DP1 genes had high detection frequencies, ranging from 93% to 98% across the three ethnic groups. In contrast, the detection rates of KIR2DL2, KIR2DL5, KIR3DS1, KIR2DS1, KIR2DS2, KIR2DS3 and KIR2DS5 were lower, ranging from 13% to 45%. Notably, the detection frequencies of KIR2DL5 (17.83%) and KIR2DS1 (17.83%) in the Manchu population were significantly lower than those in the Korean (42.93%, 47.47%) and Han (33.83%, 33.33%) populations in Jilin. The detection frequencies of KIR2DL5 (42.93%) and KIR2DS1 (47.47%) were significantly higher in the Korean population compared to the Han (33.83%, 33.33%) and Manchu (17.83%, 17.83%) population. The frequency of the KIRAA haplotype in the Han population was the highest among the three ethnic groups in Jilin at 61.19%, significantly higher than that in the Korean population (42.93%). Differences between the three groups were statistically significant (P

With rapid development and maturity of single-cell measurements, single-cell biology and pathology has become an emerging discipline to understand the disease. However, it is important to address concerns raised by clinicians as to how to apply single-cell measurements for clinical practice, translate the signals of single-cell systems biology into determination of clinical phenotype, and predict patient response to therapies. This paper proposes a new system coined as the clinical artificial intelligent single-cell (caiSC) with the dynamic generator of clinical single-cell informatics, artificial intelligent analyzers, molecular multimodal reference boxes, clinical inputs and outputs, and AI-based computerization. This system provides reliable and rapid information for impacting clinical diagnoses, monitoring, and prediction of the disease at the single-cell level. The caiSC represents an important step and milestone to translate the single-cell measurement into clinical application, assist clinicians’ decision-making, and improve the quality of medical services. There is increasing evidence to support the possibility of the caiSC proposal, since the corresponding biotechnologies associated with caiSCs are rapidly developed. Therefore, we call the special attention and efforts from various scientists and clinicians on the caiSCs and believe that the appearance of the caiSCs can shed light on the future of clinical molecular medicine.

As the turbine inlet temperatures of aero engines continue to rise， there is an urgent need to develop a new generation of single-crystal superalloys and their thermal protective coatings for turbine blades. In order to meet the stringent requirements for the comprehensive performance of high-temperature structural materials in the complex service environments of aero engines， the intelligent design research of single crystal superalloys and thermal protection coatings has been gradually carried out at home and abroad in recent years under the promotion of material integrated computational engineering and material informatics. This paper reviews the latest research progress in the design of novel single-crystal superalloys and thermal protective coatings by utilizing multi-scale computational simulations and machine learning methods. The findings confirm that multi-scale computational simulations offer robust theoretical support for understanding the strengthening and toughening mechanisms of single-crystal superalloys， as well as the oxidation resistance and diffusion protective mechanisms of thermal protective coatings. Additionally， the study highlights the reliability and significant potential of machine learning in constructing intrinsic "composition-structure-property" relationship for high-temperature structural materials. This approach paves an intelligent and efficient new pathway for the rapid development of next-generation high-temperature single-crystal superalloys and thermal protective coatings.

The aircraft engine is considered the “heart” of the aircraft. The development of advanced aircraft engines focuses on achieving a high thrust-to-weight ratio，high efficiency，low fuel consumption，and extended operational life. High-temperature functional coatings，such as thermal barrier coatings（TBCs），thermal/environmental barrier composite coatings（T/EBCs），and high-temperature stealth coatings，are applied to critical hot-end components of aircraft engines. These coatings play a significant role in enhancing the service performance，operational life，safety and reliability of the engine. Taking TBCs，T/EBCs，and high-temperature stealth coatings as examples，this paper provides a systematic overview of recent research progress in the design of high-temperature functional coating materials，coating preparation science and technology，and coating performance evaluation and characterization，both domestically and internationally，with a specific focus on the advancements made at Beihang University. Furthermore，challenges and development trends faced by new high-temperature functional coatings of advanced aircraft engines in the future are also discussed. In the future，the research focus of advanced high-temperature functional coatings will shift toward multifunctional composite coatings，enhanced adaptability to extreme environments，and improved process compatibility.

[Objective] Jiaojia-type gold deposit is a new type of gold mine discovered by Shandong geologists in northwestern Jiaodong in the 1960s, and its output is controlled by regional tectonic fracture zones. Pyrite sericitized alteration generally occurred during the ore-forming period, which is characterized by a large scale, distinct alteration zones, concentration of mineralization, simple morphology of the ore body, relatively uniform grade, and simple mineral combinations. The deposit has gone through 12 years of exploration and scientific research, from discovery to establishment. [Methods] This new type of gold deposit has been rapidly promoted since its establishment and has achieved fruitful prospecting results in China. Deep exploration achievements of the Jiaojia-type gold deposit have been coming up in the Jiaodong area since the 21st century. [Results] The accumulated gold resource reserves submitted have been 3617.12 tons by 2020, which has helped the Jiaodong area become the third largest gold cluster in the world, and gold reserves of China have risen to the second rink in the world. Research on the Jiaojia-style gold mine has also made considerable progress, with the age of mineralization accurately limited to 126~120 Ma and formation occurring under a strong regional extension background. The source of mineralization material has multiple origins, with the Archean tholeiite being the initial source rock of gold-bearing minerals. The ore-forming process is divided into four stages, and the “thermo-extension”metallogenic theory and the step metallogenic model are proposed. The metallogenic depth is about 5~10 km, and the post-metallogenic denudation thickness is 5.2±1.2 km, with the deposits well preserved. [Conclusion] The metallogenic prediction study concluded that the total gold resources in the three major metallogenic zones of Sanshandao, Jiaojia, and Zhaoping in the northwestern Jiaozhou area were 7258~10150 tons of metal at a depth of 5000 m, which demonstrates the immense potential of the deeper part of the Jiaojia-type gold deposits for exploration. A set of key exploration techniques was summarized for different exploration stages, from shallow to deep. [Significance] These studies enriched the metallogenic theory of the Jiaojia-type gold deposit, making the metallogenic prediction results highly accurate, reliable, and effective in guiding the gold exploration in the Jiaodong peninsula.

Wine is a complex solution system generated by physical, chemical and biological transformation of grape berries. Traditional methods for wine authenticity identification and quality control are cumbersome and time-consuming, and therefore cannot meet the needs of mass production. Spectroscopic techniques can simplify the procedure of wine analysis, shorten the analysis time, and enable simultaneous analysis of multiple components. Therefore, spectroscopic techniques have been widely used to assess wine quality and identify the geographical origin, variety, age and authenticity of wine. Furthermore, the combination of spectroscopic techniques and chemometrics allows the identification or modeling of key chemical markers, providing rapid, accurate, non-destructive and real-time detection for wine analysis and quality control. In this article, we summarize the theoretical basis for the application of ultraviolet-visible (UV-Vis), infrared, fluorescence and Raman spectroscopy for wine analysis. Furthermore, we review the current status of the application of spectroscopic techniques in conjunction with chemometrics for wine traceability, quality control and authenticity identification. Finally, we discuss the challenges that spectroscopic techniques face when applied in practice and propose possible solutions to these challenges.

In order to study the effect of intermittent ozone treatment on the storage quality and preservation of kiwifruit, ‘Hayward’ kiwifruit were fumigated with different concentrations (0, 21.4, 42.8 and 64.2 mg/m3) of ozone once every seven days during storage at (0.0 ± 0.5) ℃. Quality indexes and the antioxidant enzyme activity of superoxide dismutase (SOD) and ascorbate peroxidase (APX) were measured regularly during storage. The results showed that compared with the control group, ozone treatment at all concentrations effectively reduced fruit mass loss rate, soft fruit rate and decay rate, inhibited the increase of total soluble solid (TSS) and malondialdehyde (MDA) contents, delayed the decrease of titratable acid (TA) content and fruit hardness, and maintained higher vitamin C (VC), total phenol and flavonoid contents. The preservative effect of ozone at 42.8 mg/m3 was better than those at 21.4 and 64.2 mg/m3 concentrations. After 140-day storage, the hardness and VC content in the 42.8 mg/m3 treatment group were 76.92% and 43.10% higher than those in the control group, respectively. The peak values of catalase (CAT) and peroxidase (POD) activity were 36.53% and 89.31% higher than those of the control group, respectively. Ozone treatment also effectively controlled the soft fruit rate and decay rate of kiwifruit during the shelf-life period. On the 9th day, the decay rate of the 42.8 mg/m3 treatment group was 16.67%, which was 63.77% lower than that of the control group. It is concluded that intermittent ozone treatment at a concentration of 42.8 mg/m3 can effectively slow down the senescence process and improve the storage quality and nutritional value of kiwifruit.

To reveal the enrichment conditions and resource potential of coal-rock gas in the Ordos Basin, this paper presents a systematic research on the sedimentary environment, distribution, physical properties, reservoir characteristics, gas-bearing characteristics and gas accumulation play of deep coals. The results show that thick coals are widely distributed in the Carboniferous–Permian of the Ordos Basin. The main coal seams Carboniferous 5# and Permian 8# in the Carboniferous–Permian have strong hydrocarbon generation capacity and high thermal evolution degree, which provide abundant materials for the formation of coal-rock gas. Deep coal reservoirs have good physical properties, especially porosity and permeability. Coal seams Carboniferous 5# and Permian 8# exhibit the average porosity of 4.1% and 6.4%, and the average permeability of 8.7×10−3 μm2 and 15.7×10−3 μm2, respectively. Cleats and fissures are developed in the coals, and together with the micropores, constitute the main storage space. With the increase of evolution degree, the micropore volume tends to increase. The development degree of cleats and fissures has a great impact on permeability. The coal reservoirs and their industrial compositions exhibit significantly heterogeneous distribution in the vertical direction. The bright coal seam, which is in the middle and upper section, less affected by ash filling compared with the lower section, and contains well-developed pores and fissures, is a high-quality reservoir interval. The deep coals present good gas-bearing characteristics in Ordos Basin, with the gas content of 7.5–20.0 m3/t, and the proportion of free gas (greater than 10%, mostly 11.0%–55.1%) in coal-rock gas significantly higher than that in shallow coals. The enrichment degree of free gas in deep coals is controlled by the number of macropores and microfractures. The coal rock pressure testing shows that the coal-limestone and coal-mudstone combinations for gas accumulation have good sealing capacity, and the mudstone/limestone (roof)-coal-mudstone (floor) combination generally indicates high coal-rock gas values. The coal-rock gas resources in the Ordos Basin were preliminarily estimated by the volume method to be 22.38×1012 m3, and the main coal-rock gas prospects in the Ordos Basin were defined. In the central-east of the Ordos Basin, Wushenqi, Hengshan–Suide, Yan'an, Zichang, and Yichuan are coal-rock gas prospects for the coal seam #8 of the Benxi Formation, and Linxian West, Mizhi, Yichuan–Huangling, Yulin, and Wushenqi–Hengshan are coal-rock gas prospects for the coal seam #5 of the Shanxi Formation, which are expected to become new areas for increased gas reserves and production.

Objective In existing train control systems based on moving blocking, there is a significant safety margin between adjacent trains. This leads to a mismatch between the transportation efficiency of a segment and its actual capacity needs, especially during peak passenger flow periods. Virtual formation trains can increase line capacity and better adapt to imbalanced commuter flows. Therefore, it is essential to develop a high-precision tracking control strategy suitable for virtual formation trains. Method To address the operational control challenges of virtual formation trains, a tracking control strategy based on sliding mode control is proposed. A train dynamics model and a virtual formation train operation control model are developed. A non-singular terminal sliding mode controller is designed, its performance is tested through simulations. Result & Conclusion Under the proposed virtual formation train control strategy, both the position and speed tracking errors of the virtual formation trains can asymptotically converge to zero along the sliding mode surface within a finite time. In the simulation verification tests involving four trains, when the operating state of the lead train changes, the other trains in the virtual formation quickly follow the expected speed trajectory, demonstrating the effectiveness of the proposed control strategy for virtual formation train tracking control.

Objective Due to the limited space available at the shield launching site, the restricted size of the reaction frame cannot provide sufficient shield launching reaction force on its own. Therefore, it is necessary to design and install a back-support structure for the reaction frame to achieve synergistic stress between the two. Method Taking a project on Shanghai Airport Link Line as the background, the finite element analysis method is adopted to systematically study the connection method between the reaction frame and the shear wall, and the influence of the shear wall longitudinal length, thickness and height on the stress and deformation of the reaction frame structure is analyzed. Through simulation, the optimal connection method between the reaction frame and the shear wall, as well as the optimal size combination of the shear wall are screened out. Result & Conclusion The reaction frame and the shear wall are connected in a close-fitting manner to avoid the transmission of bending moment by the fitting surface of the reaction frame and the permanent structure, which has less influence on the permanent structure and can effectively release the bending moment at the unfavourable parts of the reaction frame, making the stress of the reaction frame more reasonable. As the longitudinal length of the shear wall increases, the stress and deformation capacity of the reaction frame and shear wall structure can be significantly improved; the change in the thickness of the shear wall has less influence on the stress and deformation of the reaction frame, but to some extent it can enhance the stress of the shear wall itself and reduce the deformation. The height of the shear wall has a very significant influence on the stress and deformation of the reaction frame and the shear wall structure. When the height of the shear wall is less than 13.5 m, because the top of the wall is not anchored into the center plate, resulting in the unfavorable state for the stress and deformation of the reaction frame and shear wall itself.

Objective As the sand layer located at the launching end of the slurry shield section is connected with seawater during the tunnel construction of Xiamen Metro Line 3, accidents like water and mud gushing, ground collapse may occur when the shield starts. Therefore, it is necessary to study the mud film stability of urban slurry shield tunnel to ensure the construction safety. Method A numerical model is developed to simulate the mud film formation and infiltration process under different permeability conditions by using the DEM-CFD (Discrete Element Method-Computational Fluid Dynamics) coupling method. The impermeability stability of the mud film is evaluated by analyzing the spatial distribution of slurry particles, the mud film hydraulic pressure changes, and the force chain network. Result & Conclusion The increase in sand particle size and slurry cohesion inhibits and enhances mud film formation, its long-term impermeability and mechanical stability under dynamic hydraulic loads respectively. The increase in cohesion enhances both the mud film forming density and the impermeability stability. However, the enhancement of impermeability stability is limited for the mud film on smaller grain size stratum. In sandy stratum with large pores and low cohesion, the mud film is prone to collapse, but increasing the cohesive force can effectively enhance its stability. Therefore, by selecting the appropriate particle size ratio and slurry cohesion, mud film impermeability stability can be improved to meet the engineering requirements.

Objective The noise generated by air-conditioning system is a primary source of static noise in trams, with most of the interior noise originating from the air-conditioning supply fan. Aimed at reducing the noise in air-conditioning duct, research focusing on the duct structure is carried out to design a low-frequency, broadband noise elimination and reduction structure. Method Noise reduction optimization is performed on the noise transmission path of the air-conditioning return air duct in trams. Referring to the original air return structure, a composite noise reduction device is designed, which is based on a perforated plate combined with porous sound-absorbing materials, to mitigate the fan noise transmitted through the return air duct. A statistical energy model that includes the return air duct and the fan noise source is established. Combined with the theoretical calculation of sound absorption structure, the noise reduction characteristics of diversion and noise elimination air duct are calculated and analyzed. Result & Conclusion The adoption of a flow division and noise elimination duct effectively decreases the noise transmitted by the fan. By building a test platform for air-conditioning duct, the feasibility of using the noise reduction duct to eliminate tram air-conditioning system noise is validated.

Objective The size of the reaction frame is strictly constrained in shield tunnel initial operation under limited space environment. In view of this, to ensure the frame can withstand the huge reaction force generated during the start-up of the large-diameter shield machine and effectively control the stress deformation, it is proposed to study and design a reaction frame with sufficient strength and stiffness, compact structure, and adaptability to space-limited environments. Method Taking the JCXSG-8 section of Shanghai Airport Link project as the background, the stress and deformation characteristics of the reaction frame under different back-support modes are studied in depth in terms of the actual situation of limited reaction frame size. Through optimizing the local structure of the reaction frame and the layout of the force transmission support, an improvement scheme is proposed and verified in combination with the actual construction conditions on site to ensure the rationality and effectiveness of the design. Result & Conclusion In the setting of the reaction frame back-support, the use of shear walls is superior than the diagonal braces, and can effectively improve the structural stability. In addition, adding middle supports to the lower inclined beam significantly reduces the bending moment of the lower inclined beam end support, thereby effectively reducing the torque of the bottom beam and mullion beam, and improving the load-bearing capacity of the overall structure. At the same time, the number and arrangement of force transmitting struts on the upper inclined beam have a significant influence on the maximum bending moment and deformation of the reaction frame. In the actual construction of this project, a 1-m-thick reaction frame is used with a 900-mm-thick shear wall setting up in its back-support position. At the same time, a support is added on the lower inclined beam of the reaction frame, and the number of force transmitting struts on the upper inclined beam is appropriately reduced.

In order to quantify the anisotropic characteristics of mesoscopic deformation during the process of coal adsorbing methane, the CT scanning experiment of adsorption deformation was conducted during the methane adsorption process of anthracite coal under constant temperature using the ACTIS-CT scanning experimental system, the strain deformation of meso-structure of coal was quantitatively calculated during the adsorption process based on the particle tracking strain calculation algorithm of CT image, and the change regulation was discussed. On this basis, a quantitative research method for the heterogeneity of micro deformation of coal adsorbing methane based on CT technology was proposed, and the fractal dimension D was calculated using the fractal dimension method to quantitatively evaluate the heterogeneity of micro deformation of coal. Based on the physical description of fractal geometry and micro-strain deformation distribution, the relationship between fractal dimension D and anisotropic deformation characteristics of methane adsorption was also discussed. The results indicate that: the expansion deformation of coal adsorbing gas first compresses pores or cracks to obtain a larger expansion space; the heterogeneity of microscopic deformation caused by coal adsorbing methane conforms to the fractal characteristics; the fractal dimension is negatively correlated with the expansion and deformation rate of coal after methane adsorption; the higher the expansion and deformation rate is, the lower the fractal dimension is. In other words, the larger the expansion of coal after methane adsorption is, the lower the irregularity of the overall heterogeneous strain deformation of coal is. On the contrary, the lower the value of expansion deformation rate, the higher the fractal dimension, and the higher the irregularity of the whole heterogeneous strain deformation of coal.

In order to reduce the risk of coal mine production, timely predict and control the risk of roadway roof fall, twelve evaluation indexes such as the thickness of stable rock strata, geological conditions and cross-section shape of roadway were selected. The risk evaluation index system of roadway roof fall was constructed, and the risk degree standard of roadway roof fall was proposed. The risk evaluation model of roadway roof fall was established by using the combination weight matter-element extension theory of analytic hierarchy process (AHP) and entropy weight (EW). The risk degree of roadway roof fall was determined according to the principle of maximum membership degree, and the risk assessment system of roadway roof fall (MW-MEW) was developed based on JavaWeb. The evaluation method and MW-MEW system were applied to evaluate the risk degree of roof fall in C9 return air connecting roadway of Xinglu Coal Mine, and the evaluation results were compared with those of AHP-matter element extension model. The results showed that the evaluation results of the evaluation method were in line with the actual engineering situation and were better than the AHP-matter element extension model.

As optimization problems grow increasingly complex, characterized by their intricate difficulty, larger-scale, and diverse constraints, swarm intelligence optimization algorithms have emerged as an effective solution for addressing these multifaceted challenges. Among these, the marine predators algorithm, a recent innovation in intelligent optimization algorithms, has demonstrated remarkable efficacy in solving optimization issues. However, its application to complex CEC test function sets and engineering constraint problems reveals several limitations, including limited adaptive ability, low optimization accuracy, and high local shackle probability. This paper proposes an enhanced version of the marine predators algorithm designed to overcome its inherent shortcomings. The enhancement begins with the integration of a learning automata guided teaching–learning search mechanism during the marine memory stage. This adjustment aims to strike a better balance between exploration and exploitation across different iteration periods. Subsequently, the introduction of a logarithmic spiral exploration mechanism phase strengthens the algorithm’s ability to conduct nuanced searchers around the optimal solution, thereby improving convergence accuracy. Finally, an improved adaptive relative reflection strategy is added at the end of each iteration to enhance the algorithm’s capability to escape local optima and reduce the risk of local shackling. The optimization performance of this refined algorithm is evaluated through parameter sensitivity analysis, determining the optimal parameter values. To validate its effectiveness, the improved algorithm undergoes testing against six benchmark algorithms, including the basic marine predators algorithm and its variants, as well as other improved algorithms and those recognized with awards in the CEC2017 test suite across 100 dimensions. The evaluation focuses on optimization accuracy, the Wilcoxon rank sum test, and boxplot analysis. The test results indicate that the improved algorithm proposed in this paper outperforms the other six benchmark algorithms in optimization precision, convergence rate, and solution stability, particularly when solving complex functions in high-dimensional (100 dimensions) spaces. Furthermore, the applicability and superior performance of the improved algorithm are demonstrated through comparative analysis with four established algorithms on challenging engineering design optimization problems. These include welded beam design, process synthesis, heat exchanger network design, and design optimization of industrial refrigeration systems. The findings unequivocally showcase the enhanced algorithm’s exceptional ability to solve various engineering constraint problems effectively.

With globalization accelerating, films, as unique cultural products, are increasingly crossing borders and forming global trade networks. This network is a significant research focus in film geography. An in-depth analysis of the global film trade network helps illuminates its spatial and temporal patterns, offering both academic insight and practical value for the expansion of the Chinese film market overseas and the implementing cultural power strategies. Based on data from the United Nations Commodity Trade Statistics Database, this study uses complex network analysis methods to explore the evolution of the spatial and temporal characteristics of the global film trade network from 2004 to 2019. The findings reveal four key trends: first, the continuous expansion, seen in the growing number of nodes and trade flows indicates that the film trade relations between countries are becoming closer, creating a highly interconnected international cultural market. This reflects a growing decentralization of global cultural products, particularly with an increased in participation from Asian countries. Second, the trade network's topology has shifted from a dual-core model centered on Europe and America to a multipolar structure centered on Europe, Asia, and the United States, highlighting the increasingly important role of Asian countries, especially China, in the global film trade. Third, the distinction between the network's core and periphery has become more pronounced, revealing an increasing hierarchy in the film trade. This hierarchy may exacerbate market imbalances, giving stronger countries more influence over film production and distribution, whereas smaller cultural markets face more severe challenges. Finally, community detection analysis shows that the global film trade network exhibits significant community distribution characteristics, with these communities being relatively geographically concentrated, fostering stable exchange and cooperation of cultural products. This study examines the spatial and temporal evolution of the global film trade network from a macro perspective, focusing on the overall characteristics, topological structure, spatial evolution, and community formation. The research found that film geography emphasizes the role of films as a social practice, revealing cultural exchanges and their global dissemination among different countries and regions. Economic power continues to play a crucial role in the global film distribution. Despite the increasingly interconnected global film trade, the diversification of trade partners were not decentralized; rather, it has reinforced connections among countries within regions, reflecting a complementary relationship between regionalization and globalization. Economically developed countries dominate regional groups, highlighting the critical role of economic power in the global film trade. Despite stable trade cooperation, cultural imperialism remains a persistent issue as the dominance of American films in the global market promotes cultural homogenization. The study highlights the interplay of economic and cultural forces in shaping global film product flows, with the film network intersecting with other global networks. This calls for a critical analysis of power dynamics and sociocultural significance within these structures. As globalization advances, more nations are integrating into the global film trade, with China emerging as a key player. However, there is still a need to optimize trade structures, actively expand markets, and foster collaboration with countries involved in the Belt and Road Initiative to strengthen China's s position in the global film trade network.

To investigate the application of lemongrass essential oil in extending the shelf life of pickle. This study used lemongrass essential oil as the core material, sodium carboxymethyl starch and sodium caseinate as wall materials to prepare lemongrass essential oil microcapsules, and examined the effects of the mass ratio of sodium carboxymethyl starch to sodium caseinate on physicochemical properties, microscopic morphology, thermal stability, and others of lemongrass essential oil microcapsules. Furthermore, the effects of microencapsulation on the chemical composition of the essential oil and the antibacterial activity against major pathogenic bacteria in pickle was evaluated. Results showed that when the mass ratio of sodium carboxymethyl starch to sodium caseinate was 1:5 and 1:9, there was no significant difference in the essential oil encapsulation rate (P>0.05), which was 98.29% and 96.90%, respectively. The appearance was spherical and blocky. With the increasing sodium caseinate content, the micropores on the surface of the microcapsules gradually decreased, and the cavities became smaller. The thermogravimetric curves showed that the temperature corresponding to the maximum weight loss rate of microcapsules was increased with the increasing casein content, reaching a maximum of 314.27 ℃, while that of pure essential oil was only 106.27 ℃. Gas chromatgraphy-mass spectrometry (GC-MS) results showed that essential oil microcapsulation treatment retained multiple antibacterial ingredients of essential oils such as nerol (34.69%), geranyl acetate (27.41%), linalool (5.65%) and caryophyllene (6.50%). This conferred lemongrass essential oil microcapsules strong antibacterial properties against the main spoilage bacteria Bacillus subtilis in pickle and Staphylococcus epidermidis, the bacteria that cause packaging bags to bulge, with the minimum inhibitory concentration of 97.66 µg/mL for Bacillus subtilis and 195.31 µg/mL for Staphylococcus epidermidis, and the maximum bactericidal concentration of 1562.5 µg/mL for both bacteria. In summary, it is feasible to use sodium carboxymethyl starch and sodium caseinate as encapsulating agents to prepare lemongrass essential oil microcapsules, with a desirable inhibitory effect on the main spoilage bacteria in pickle. This research would provide a new perspective for further exploring the application of lemongrass essential oil in extending the shelf life of pickle.

Range Cell Migration Correction (RCMC) represents an important advancement in the estimation of moving target parameters and imaging of targets in high-resolution Synthetic Aperture Radar (SAR) systems. When the motion of a target or platform becomes complex, the traditional low-order RCMC method may no longer be suitable. Meanwhile, the existing high-order RCMC method based on parameterization is susceptible to issues such as model mismatch and high computational complexity. Additionally, its performance may decrease significantly under a low Signal-to-Noise Ratio (SNR). This research utilizes Extended Kalman Filter (EKF) to track the phase responsible for RCM and develop a phase compensation function to achieve RCMC. The proposed approach is model-independent and can track high-order components in the phase, thereby enabling high-order RCMC of moving targets in SAR. In addition, EKF can filter signals during phase tracking to effectively lower the SNR threshold of the proposed method. Thus, this method offers broad applicability, moderate computational complexity, and the ability to correct non-negligible high-order residual range cell migrations, thereby distinguishing it from traditional methods. This study thoroughly explains the principles and mathematical model behind the proposed method, demonstrating its effectiveness and superiority through multiple sets of simulations and measured data processing.

In this study, on the basis of single factor experiments, the effects of raw material mass concentration, ethanol volume fraction, ultrasonic power, extraction temperature, and extraction time on the lipase inhibition activity of mulberry leaves extract were investigated in combination with response surface methodology to optimize the ultrasonic-assisted extraction process of the lipase-inhibiting components of mulberry leaves. Meanwhile, the active ingredients of mulberry leaves extract were analyzed by UPLC-Q-TOF HRMS. The results showed that the optimal extraction process parameters for the lipase-inhibiting components of mulberry leaves were as follows: The mass concentration of raw material was 0.05 g/mL, volume fraction of ethanol was 70%, ultrasonic power was 195 W, extraction temperature was 31 ℃ and the extraction time was 40 min. Under these conditions, the lipase inhibition rate of mulberry leaves extract was 39.68%. A total of 1067 compounds were identified. Flavonoids and phenolic acids accounted for the highest proportion, containing 203 and 201 compounds, respectively. These compounds might be the material basis for the lipase inhibiting activity of mulberry leaves extract. In this study, the ultrasonic-assisted extraction process of mulberry leaves was optimized to improve the extraction efficiency of the lipase-inhibiting active components, and the main active ingredients were analyzed. The results may provide a reference for the functional application of mulberry leaves in improving lipid metabolism and the development of health food.

The waters of the Changdao Archipelago are located at the confluence of the Yellow and Bohai seas, which have high species diversity and spatial and temporal heterogeneity. This area is an important route for migratory fish and macroinvertebrates to enter the Bohai Sea for spawning or to leave the Bohai Sea southward for overwintering. In recent decades, with increasing human activities, fishing pressure, and ocean pollution, the ecosystems of the Yellow and Bohai seas have become fragile with many fishery species evolving towards miniaturization and precociousness. Important fishery resources are unable to fulfill the minimum requirements during the fishing season, and the support function of the Yellow and Bohai seas is diminishing. Research on fishery species in the waters of the Changdao Archipelago is less focused on their composition, community structure, and fishery biological health evaluation. To understand the species composition and diversity of demersal fishery species in the waters of the Changdao Archipelago and to identify keystone species that play important regulatory roles in the biological community, we analyzed the biological diversity and identified the dominant species based on the Changdao Archipelago fishery resource survey data from March to December 2021. Keystone species were determined by food web topology and social network analysis, and the fishery biological health status was determined based on the 2021 survey data. A total of 38 species of fish (mainly warm-water, demersal, and low-value fish) and 50 species of invertebrates (mainly small crustaceans) were caught in the area. There were obvious seasonal variations in the composition of the dominant species, with invertebrates, such as Alpheus japonicus and Oratosquilla oratoria, dominating in the spring, Chaeturichthys stigmatias and O. oratoria in the summer and autumn, and only A. japonicus and C. stigmatias in the winter. The species Margalef richness index (R) was highest in the summer, and the Shannon-Wiener diversity index (H´) and Pielou evenness index (J´) were highest in the autumn, in the waters of the Changdao Archipelago. To further investigate the food web topology of the bottom fishery community in the waters of the Changdao Archipelago, and to identify keystone species, seasonal changes in the topology of the study area were analyzed. Based on field survey data, the main species (IRI > 100) were constructed. The area contained 13–23 main species (S) and 32–113 feeding relationships (L) in four seasons. The node density (Dd) ranged from 0.18–0.41, link density from 2.46–5.65, connectance (C) from 0.18–0.28, clustering coefficient (Cl) from 0.334–0.401, and weighted clustering coefficient (W-Cl) from 0.276–0.373, consistent with the interspecific feeding relationships in communities under natural conditions. There were significant seasonal variations in each topological index. Based on the topological structure index, we analyzed the robustness of keystone species at the bottom of the food web in the waters of the Changdao Archipelago. Using different removal methods, we found that these three species have differences in maintaining the robustness of the food web. To study the importance of keystone species, species were removed in ascending and descending order according to the node degree (D). Under the descending order of removal, the stability of the food web showed a downward trend, showing a "staged" change of first increasing and then decreasing. This change may be due to the reconstruction of the food web caused by the loss of some species. Even if new feeding relationships are created among other species, the number of corresponding feeding relationships decreased exponentially, while feeding relationships with ascending removal patterns showed an inverted U-shaped trend with a significantly slower rate of decline. The most important species in the food web were removed first in descending order, which had the greatest effect on the stability of the food web and the number of feeding relationships. Among them are species that play important roles in the robustness of the food web—C. stigmatias, Pennahia argentata, A. japonicus, and O. oratoria are both dominant and keystone species. The keystone species in the waters of the Changdao Archipelago are diverse and small, as most of the bottom organisms in the area are omnivores with diverse feeding relationships and include many migratory species in addition to native species, which leads to the diversity of keystone species—C. stigmatias, P. argentata, A. japonicus and O. oratoria are both dominant and keystone species. The keystone species are characterized by diversification and miniaturism. When keystone species were removed from the food web, the linkage robustness and number of feeding relationships decreased significantly, indicating that keystone species play important roles in maintaining the stability of the food web. In winter, keystone predator species change from O. oratoria and P. argentat to C. stigmatias, and A. japonicus changes from the keystone prey species to the keystone intermediate species. Niche replacement of keystone species leads to the simplification of the bottom of the food web and, to some extent, increases the vulnerability of the bottom community structure in the waters of the Changdao Archipelago. Therefore, in future studies, dynamic monitoring and protection of keystone species should be strengthened to maintain their robustness function in the food web, to maximize the protection of natural resources in the waters of the Changdao Archipelago.

Objective To explore the correlations of genotype and phenotype of myopathic form of carnitine palmitoyltransferase Ⅱ (CPT Ⅱ) deficiency and to improve the clinical understanding of the disease. Methods The clinical data of a case of myopathic form of CPT Ⅱ deficiency were analyzed, including the results of gene detection, diagnosis, treatment, and follow-up. The literature was reviewed to summarize the clinical characteristics, diagnosis, and treatment of CPT Ⅱ deficiency. Results The patient, a 10-month-old girl, was admitted to the hospital with acute enteritis. The blood creatine kinase and myoglobin were significantly increased in the auxiliary examination. Her father had a history of weakness after regular exercise and myoglobinuria. Both the father and the daughter carried the heterozygous pathogenic mutation c.989dupTp. (Ile332fs) in the CPT2 gene, which confirmed the diagnosis of myopathic form of CPT Ⅱ deficiency. After treatment with infection control and supplementation of a large amount of carbohydrates, creatine kinase and myoglobin returned to normal levels. Following discharge, follow-up showed that the patient was in good condition. Conclusion Myopathic form of CPT Ⅱ deficiency is a common disease that affects the lipid metabolism in skeletal muscle and is a common cause of hereditary myoglobinuria. However, its symptoms can be quite subtle and are frequently overlooked in clinical practice. When a patient exhibits repeated increases in creatine kinase as well as exercise intolerance, myoglobinuria, or positive family history, the disease should be taken into consideration.

One of the core purposes of introducing the "Promotion or Exit" system in Chinese universities is to create a fair and just competition order for the profession of teachers, with procedural justice as its inherent function and the starting point for the system of examination. The "Promotion or Exit" system presents a multi-stage procedures from the perspective of administrative process theory, with unique features and designs in each stage. Introducing the comprehensive procedural justice theory into the "Promotion or Exit" system, and embedding and shaping the indicator elements of the theory according to the multi-stage characteristics of the system, can form a holistic procedural justice structure. The current"Promotion or Exit"system in universities of China has problems such as insufficient disclosure of recruitment information, insufficient participation in evaluation and appointment, overly rigid renewal procedures, and a lack of substantive due process for dismissal; Corrections can be made in terms of ensuring the integrity of the recruitment process, increasing participation in the formulation of evaluation and appointment standards, enhancing the flexibility of the renewal process, and strengthening the substantive legitimacy of the dismissal process; It is also necessary to achieve the goal of institutional procedural justice through national legislation, university regulations, and judicial review.

[Objective] Accelerating the green and low-carbon industrial transition of China is a strategic requirement for implementing the new development concept. Studying the impact of new energy demonstration cities construction on the green transition of industrial enterprises is of great significance for the realization of the dual-carbon goals and the promotion of high-quality economic development. [Methods] Taking the new energy demonstration city policy as a quasi-natural experiment, and based on the data of A-share listed industrial enterprises from 2008 to 2021, this study used the difference-in-differences method to investigate the impact of the construction of new energy demonstration cities on the green transition of industrial enterprises and mechanisms. [Results] (1) The construction of new energy demonstration cities was helpful for promoting the green transition of industrial enterprises, and the effect was more prominent in state-owned, highly competitive industries and enterprises in resource-based cities. (2) Mechanism analysis showed that on the one hand, the construction of new energy demonstration cities will change the incentive structure of local governments, increase the financial support for the green behavior of industrial enterprises, and on the other hand, it will also force industrial enterprises to increase the level of green investment by setting binding development targets, which jointly promote the green transition of industrial enterprises. (3) Further analysis showed that the green transition carried out by industrial enterprises under the construction of new energy demonstration cities can improve their own environmental performance without reducing their economic performance, and can achieve Pareto improvement of emission reduction and development. [Conclusion] The construction of new energy demonstration cities will help to promote the green transition and development of industrial enterprises. Therefore, government departments should further expand the pilot scope of the new energy demonstration cities, improve the assessment and supervision mechanism of the demonstration cities, and increase policy support for the green behavior of industrial enterprises, so as to promote the green and low-carbon transition of industries.

To address the limitations of current deep learning-based methods in extracting contract bytecode features and representing vulnerability semantics, as well as the shortcomings of the traditional graph neural networks in learning temporal information from contract statements, a method for detecting vulnerabilities in contracts was proposed based on pre-trained and temporal graph neural network. Firstly, the pre-trained model was used to transform smart contract bytecode into a vulnerability semantics-aware contract graph structure. Then, combined with a self-attention mechanism, the event-driven temporal graph neural network was designed to extract temporal information during contract execution. Finally, focusing on reentrant vulnerabilities, timestamp dependency vulnerabilities, and Tx.origin authentication vulnerabilities, extensive experiments were conducted on a dataset of 120 932 actual contracts. The results show that the proposed method significantly outperforms existing approaches.

The purpose of this study was to develop a total nutrition emulsion suitable for post-gastrectomy patients. The effects of different protein types, maltodextrins with different dextrose equivalent (DE) values, and different oils on the stability of the emulsion were investigated by measuring the particle size and sedimentation rate, and the effects on blood glucose and body mass in post-gastrectomy mice were also assessed. Furthermore, the number of homogenization cycles, homogenization pressure and pH were optimized for the processing of the emulsion. The results showed that good stability was observed in the emulsion made with whey protein as a protein source, maltodextrin with a DE value of 12, and a mixture of peanut oil and caprylic triglyceride or capric triglyceride at a ratio of 2:1, which was most favorable for restoring blood glucose and body mass in post-gastrectomy mice. The emulsion processed by 7 homogenization cycles at 70 kPa and pH 7.0 had the smallest particle size, the lowest sedimentation rate and the best stability. The findings obtained in this study provide theoretical guidance for the research and development of special emulsion-type foods for post-gastrectomy patients.

The effective control of endogenous contamination of black and odorous water has become an important work in China. Phytoremediation technology is more widely used, and microbial agent method is gradually accepted due to the absence of chemical agents. In this study, microbial enhanced phytoremediation technology was used to purify black and odorous water, the removal effects of single microorganisms, single plants, and microorganisms-plant combinations on endogenous pollutants such as nitrogen and phosphorus in sediment were investigated. The results showed that the combination of microorganisms and plants exhibited better removal effect of total nitrogen and total phosphorus. Moreover, after 56 days, the removal rates of total nitrogen and total phosphorus in the sediment were 43.59% and 52.10%, respectively, which increased by 8.74% and 5.27% compared with that of single microorganisms system, and increased by 19.47% and 9.76% compared with that of single plants system. The synergistic effect of microorganisms and plants could increase the release and absorption rates of nitrogen and phosphorus in sediment, while promote nitrogen and phosphorus cycling. The high-throughput sequencing results showed that the dominant phylum in the microorganism-plant system was Proteobacteria (relative abundance 54%). The dominant phylum was Gammaproteobacteria (49%), and the dominant genus was Cavicella (10%). Microbial enhanced phytoremediation technology could provide technical support for the treatment of black and odorous sediment pollution.

With the development of economy and frequent industrial activities by humans, phosphorus is gradually transformed from phosphate ore to phosphate and into water bodies. The presence of phosphorus in wastewater can lead to water pollution and eutrophication. Moreover, due to the increasing consumption of phosphate rock, phosphate ore resources have gradually become a scarce resource. Therefore, the recycling and reuse of phosphorus resources is of great significance, and phosphorus containing wastewater is considered a potential source for phosphorus recovery. The induced crystallization method using a reactor for phosphorus resource recovery has the advantages of simple design, easy operation, high recovery efficiency, and minimal environmental impact, which makes it an ideal phosphorus recovery method. Firstly, the principle of induced crystallization method was briefly described from the perspectives of kinetics and thermodynamics. Secondly, the influencing factors of two commonly used induced crystallization methods, hydroxyapatite(HAP) and microbially available phosphorus(MAP), for phosphorus recovery were analyzed, including supersaturation, pH, ion ratio, hydraulic retention time(HRT), rising flow rate, and reactor type. Thirdly, the application of the two induced crystallization methods in the actual field of phosphorus recovery was introduced. Finally, the development prospects and optimization of process application conditions for the recovery and utilization of phosphorus resources by induced crystallization method were discussed.

Based on the practical problem that excessive effluent pollutants caused by the impact of soybean wastewater on urban sewage treatment system, the effect of soybean wastewater on pollutants removal in sequencing batch reactor (SBR) and emergency control measures were investigated through single cycle instantaneous wastewater impact test. The results showed that with the increase of water quality impact load, COD removal rate increased initially and then decreased, while NH4+-N and TN removal rates increased gradually. The effect of water quality impact on TP removal was relatively small. When COD of the impact wastewater was 370 mg/L, the effluent NH4+-N and TN could not meet the first level class A standard of Discharge Standard of Pollutants for Municipal Wastewater Treatment Plant (GB 18918-2002). As the water volume impact increased, the changes of COD and TN removal rates remained consistent with the water quality impact, and the effect of water volume impact on NH4+-N and TP removal was relatively small. As the impact of water quality and water volume increased, the protein(PN) and polysaccharide(PS) components in extracellular polymeric substances(EPS) were both affected. Regulating the aeration rate could be used as an effective emergency control measure for the impact of soybean products wastewater. When the COD of the impact wastewater was 370 mg/L and the aeration rate was 0.9 L/min, COD, NH4+-N, TN, and TP could all meet the discharge standards. The results could provide reference for coping with the impact of other loaded soybean products wastewater.

The severe acute respiratory syndrome coronavirus 2 （SARS-CoV-2） is still spreading widely around the world， and it is estimated that there are more than 760 million confirmed cases of SARS-CoV-2 infection （COVID-19）. Although most of the infected patients can be cured， there are still many patients who experience persistent clinical symptoms such as dizziness， fatigue， weakness， coughing and chest pain， etc. at two to three months or even longer after being infected with SARS-CoV-2. Internationally， this type of discomforts is referred to as long COVID. The emergence of long COVID has brought a new crisis to people’s health， which not only affects the quality of life and work of patients， but also brings great pressure on the health care of the society. Continuously exploring the impact of long COVID and its underlying mechanism， developing health management strategies for long COVID， and better prevention and treatment of long COVID are still the focus of research worldwide. The article introduces the definition of long COVID and reviews recent research progress in its underlying mechanism， common systemic clinical manifestations， risk factors， and health management of long COVID， aiming to provide more ideas for deepening clinicians’ understanding of long COVID.

Objective To analyze the impact of endoscopy surgery and open surgery on the quality of life of breast cancer patients. Methods Three hundred and forty-four female breast cancer patients who underwent two different surgical methods were collected， including 92 cases in the endoscopic surgery group and 252 cases in the open surgery group. Functional Assessment of Cancer Therapy-Breast （FACT-B） was used to investigate the quality of life of patients after surgery in two groups. Results The FACT-B items“I am satisfied with my sex life”“I am able to work （including home work）”“My work （including home work） makes me feel a sense of accomplishment”“I feel sexually attractive”“I still feel like a woman”“I worry about the effect of stress on my disease”were statistically significant in two groups （all P < 0.05），the endoscopic surgery group was superior to the open surgery group. There was no significant difference in the other items between the two groups （all P > 0.05）. Conclusion The quality of life of breast cancer patients undergoing endoscopy surgery was better than that of patients undergoing open surgery.

To improve the accuracy of short-term precipitation forecasts, a deep learning method is proposed to correct numerical model precipitation forecast products. This method extracts spatiotemporal features from numerical model forecasts and observations using a neural network and performs corrections based on a gated recurrent unit (GRU) framework. Additionally, an atmospheric physics adaptor module is meticulously designed to address systematic errors in the intensity and displacement of numerical model forecast by leveraging physical condition mechanisms. The module plays a crucial role within the overarching model framework, which consists of three integrated components: Feature network, recurrent-revising network, and physical adaptor. The feature network extracts precipitation intensity, distribution, motion characteristics and other related atmospheric physical features from precipitation in situ and numerical model forecast data, serving as input to the recurrent-revising network. Recurrent-revising network utilizes a recurrent neural network structure to adjust grid point forecast results on a time-step basis. Deep neural networks are used to extract spatiotemporal variation features from numerical model forecast data and historical observations, learning systematic errors in the evolution processes to correct the precipitation magnitude and distribution. The physical adaptor is an atmospheric physics adaptation module, which preprocesses numerical model forecast data using frequency distribution fitting and distribution deviation correction methods. In Guangxi convective-scale model precipitation forecast data, when there are significant differences between numerous samples and the precipitation in situ, the feature correlation is low, making it a challenge to capture systematic error characteristics during neural network training. By preprocessing the samples with the physical adaptor, differences between forecasts and observations are reduced, enhancing feature correlation between training input datasets and observations, thus facilitating better neural network training and achieving superior correction skills. This method not only adheres to but also integrates fundamental atmospheric physical laws governing precipitation evolution, thereby offering a robust and innovative approach for post-processing numerical model short-term precipitation forecasts. By incorporating these physical principles into the model framework, corrected forecasts not only reflect statistical patterns but also adhere closely to the underlying physical processes driving precipitation dynamics. Experimental results in Guangxi indicate that the model demonstrates positive threat score skills across various forecast times and precipitation intensities. Specifically, for different precipitation intensities (average of all times), threat score skills for 0.1 mm·h-1, 2 mm·h-1, 7 mm·h-1, 15 mm·h-1, 25 mm·h-1, and 40 mm·h-1 are 5.67%, 3.59%, 2.18%, 1.46%, 1.01%, and 0.46%, respectively; for different lead times, threat score skills for 0-2 h, 2-4 h, and 4-6 h are 4.77%, 1.28%, and 0.91%, respectively; and the overall average threat score skill across all precipitation intensities and times is 2.21%.

BackgroundWorkers engaged in benzene-exposed or benzene-containing solvent-exposed operations in China are predominantly subjected to a low concentration of benzene series compounds, and prolonged exposure to low concentrations of benzene, toluene, and xylene (BTX) may have implications for blood pressure. ObjectiveTo investigate the influence of low-concentration BTX exposure on the blood pressure of workers, aiming to provide a basis for enterprises to devise associated health management strategies to mitigate the occurrence of hypertension among workers exposed to low concentrations of BTX. MethodsUsing a cross-sectional design, 884 workers from a petroleum refining enterprise in Hainan who participated in an occupational health examination in 2022 were selected as the study population, and were divided into an exposure group of 649 workers and a control group of 235 workers based on their reporting of BTX exposure or not. Data on workplace BTX concentrations and health examinations of the study subjects were collected and questionnaires were administered. In addition, S-phenylmercapturic acid (S-PMA), hippuric acid (HA), and methyl hippuric acid (MHA, including the three isomers 2-MHA, 3-MHA, and 4-MHA) were measured in the urine of the workers using high-performance liquid chromatography-tandem triple quadrupole mass spectrometry to assess internal BTX burden. The effects of low-concentration BTX exposure on blood pressure were analyzed. ResultsIn 2022, the concentrations of benzene, toluene, and xylene of all monitoring points did not exceeded the national limits by either time-weighted average (TWA) or short-term exposure limit (STEL), indicating low-concentration BTX exposure. Regarding the internal burden of BTX, the concentrations of benzene metabolite S-PMA, toluene metabolite HA, and xylene metabolites 3-MHA and 4-MHA in the urine samples in the exposure group were higher than those in the control group (P < 0.05). The correlation analysis showed a positive correlation between urinary S-PMA concentration and diastolic blood pressure in the workers (r=0.265, P < 0.05). Differences in systolic and diastolic blood pressure distributions were statistically significant among workers grouped by sex, age, work years, educational levels, monthly income, body mass index (BMI), alcohol use, dietary oil, and types of residential address (P < 0.05). Significant differences in systolic blood pressure distribution were observed among workers by smoking status and levels of labor intensity (P < 0.05). Compared with the control group, the workers in the exposure group exhibited a significant increase in diastolic blood pressure (P < 0.05). The results of multiple linear regression showed that age, sex, and BMI had statistically significant effects on systolic blood pressure (P < 0.05), while age, work years, and BMI had statistically significant effects on diastolic blood pressure (P < 0.05). The systolic blood pressure of age > 35 years, male, overweight and obese workers was significantly higher than that of age ≤ 35 years, female, and underweight workers, and the diastolic blood pressure of age > 35 years, work years > 5 years, and obese workers was higher than age ≤35 years, ≤5 years of service, and underweight workers. Low-concentration BTX exposure was one of the main influencing factors for elevated diastolic blood pressure, and the exposed workers showed a 1.337 mmHg increase in diastolic blood pressure compared to the control group (P < 0.05). ConclusionLow-concentration BTX exposure, work years > 5 years, and obesity may elevate blood pressure among petroleum refininig workers. Regular blood pressure monitoring and enhanced health interventions for this occupational group are warranted.

[Objective] The study aims to explore the antibacterial activity and allelopathy of flavonoids from leaves of Eleutherococcus brachypus, and to provide the basis for the development of plant-derived antimicrobial agents and the application of their allelopathy in plant protection and agricultural production. [Methods] Leaf flavonoids was extracted by an ultrasonic-assisted method from E. brachypus leaves, then the antibacterial sphere, the minimum inhibitory concentration (MIC), the apoptosis rate, MDA content, ROS content, and the activity of antioxidant enzymes of epidermal cells from onion scaly leaves, as well as the inhibitory rate of the onion root and shoot growth were determined with different concentrations of leaf flavonoid extracts (100%, 50%, and 25%). [Results] (1) The yield of leaf flavonoids from E. brachypus was 42.3 mg/g. (2) At same concentration, the diameter of the inhibition zone was S. aureus > B. subtilis > Salmonella, respectively, and expanded with the increase in the extract concentrations with the same strain. The minimum inhibitory concentration of the three strains was also S. aureus < B. subtilis < Salmonella, respectively. (3) Each concentration of leaf flavonoids from E. brachypus induced apoptosis in the upper epidermal cells of Allium cepa. Meanwhile, as the concentration of flavonoid extracts increased, the apoptosis rate, MDA content, and H2O2 content were increased. POD activity and CAT activity were increased first and then decreased during the same time of treatment, which were higher in treatment groups than the control. (4) The growth of root and shoot of the onion scale leaves were inhibited under the treatment of flavonoids extracts, which was negatively correlated with the treatment dose. [Conclusion] The antibacterial effects of the leaf flavonoid extracts of E. brachypus on Gram-positive bacteria are better than that of Gram-negative bacteria, and the antibacterial effects are positively correlated with the concentration of flavonoid extracts. Moreover, all these changes suggest that the allelopathic mechanism of flavonoid extracts from E. brachypus may be due to the overproduction of ROS and the inhibition of antioxidant enzyme activity, which cause oxidative damage to membrane lipids and cell death.

The oral microbial community undergoes significant changes during pregnancy due to constant changes in hormones, immune levels, dietary habits, and other external environmental factors. Recent evidence suggests a link between periodontal disease and pregnancy-related oral dysbiosis. Although this oral dysbiosis and pathogenic periodontal bacteria are thought to be associated with adverse pregnancy outcomes, it remains unclear how pregnancy-related oral dysbiosis regulates oral diseases and birth outcomes. Prenatal interventions can proactively reduce adverse pregnancy outcomes to protect child health, but further research is needed to elucidate the mechanisms. Understanding the changes in oral microorganisms during pregnancy is critical for this endeavor.

[Objective] Aiming at the problems of low accuracy and poor robustness in the previous classification methods based on artificial features. [Methods] A strong generalization automatic classification method of potato shape and size was proposed in this study. First, two potato ViT models were built based on Transformer model to complete potato shape grading and size grading tasks in parallel. Secondly, a robust model was trained by using migration strategy and data augmentation method. Finally, the effectiveness of this method in potato grading was verified by quantitative analysis of test sets. [Results] The experimental results show that the potato ViT model achieves 96.36% and 94.75% for potato shape classification, and 89.66% and 85.16% for size grading in terms of accuracy and μF1 index. The classification accuracy was better than VGG16, ResNet50 and MobileNetV3 network models. [Conclusion] The results shows that it is feasible to apply the proposed method for the real-time and accurate detection of potato shape and size. The results of this study can provide theoretical and technical support for potato intelligent grading.

In order to solve the problems of inconsistent concept of massive heterogeneous data, confusing and unclear data relationship, repeated data storage and data inconsistency, and high degree of coupling between various business systems, the description specification of coal mine metadata is proposed, and the core data unit and data object model set of coal mine safety production are formed. A distributed data storage center is built based on MongoDB object-oriented database, Redis memory database, MySQL relational database, PostGIS spatial database, HBase big data and file storage; through data collection and interaction services, data analysis and storage services, the unified data collection, analysis and storage of multi-business subsystems and data sharing and interaction based on Web API are realized, and a data center system providing data services for various types of intelligent mine information systems is built. The field industrial test shows that the collection and storage efficiency of the data center is in line with the industry standard, and the response speed of data query is fast, which can meet the requirements of intelligent mine data interaction.