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Nuclear factor kappa-B(NF-κB), an intricate nuclear transcription factor, is ubiquitously present within the myriad tissues and cells of the human corpus, engaging in a multiplicity of biological processes such as the development of the immune system, immune responses, inflammatory reactions, angiogenesis, and tumorigenesis. Its cardinal role in the pathogenesis of ocular diseases is increasingly illuminated by its prevalence. Owing to the unique architecture of the ocular globe, burgeoning studies have identified the excessive activation or dysregulation of the NF-κB signaling pathway as intimately associated with the progression of a multitude of ocular conditions, including, but not limited to, cataracts, dry eye syndrome, and glaucoma. The modulation of NF-κB activation, by targeting it, offers a potent mechanism for regulating ocular inflammation and mitigating disease progression, holding promise as a potential therapeutic strategy for ophthalmic disorders. An in-depth examination of the NF-κB signaling pathway's role in ocular diseases not only enriches our comprehension of the underlying mechanisms of these ailments, but also lays a crucial foundation for the innovation of new treatment modalities. Therefore, this article endeavors to provide a compendious review of the regulatory effects exerted by the NF-κB signaling pathway in ophthalmic conditions throughout recent years.

Primary cutaneous lymphomas are a group of non-Hodgkin's lymphomas originating from the skin, with unique clinical and histological features. In December 2023, the National Comprehensive Cancer Network (NCCN) updated and released the Clinical Practice Guidelines for Primary Cutaneous Lymphomas (Version 1. 2024). Compared to the 2023 edition of the Guidelines, this update mainly focuses on the principles of diagnostic assessment, staging criteria, treatment principles for mycosis fungoides(MF) at different stages, and recommendations for radiotherapy. In conjunction with the current situation and characteristics of the diagnosis and treatment of primary cutaneous lymphoma in our country, this article interprets the main recommendations of the Guidelines to promote the application of clinical practices in our country.

[Objective] The study aims to explore the role of TaRING1 in the interaction between wheat and stripe rust, analyze its mechanism and provide theoretical basis for the green prevention and control of wheat stripe rust. [Methods] The interaction target proteins of TaRING1 were screened by yeast two-hybrid assays and verified by bimolecular fluorescence complementation (BiFC) and luciferase complementation (LCA) assays. The ubiquitylation function of TaRING1 was verified by ubiquitination analysis. The subcellular localization of target TaRIP92 was observed by transient expression in Nicotiana benthamiana and wheat protoplasts. [Results] Using TaRING1 as bait, the target protein TaRIP92 was screened by yeast two-hybrid, and the interaction between TaRING1 and TaRIP92 was verified by LCA and BiFC. In vitro ubiquitination assays proved that TaRING1 ubiquitinated TaRIP92. Transient expression in N . benthamiana and wheat protoplasts showed that TaRIP92 was localized in mitochondria. [Conclusion] TaRING1 interacts with and ubiquitinates the mitochondrial protein TaRIP92.

The three large irrigation schemes, namely Bojili, Xiaokaihe and Handun irrigation scheme, in Binzhou City of Shandong Province include in the pilot list of digital twin irrigation schemes by the Ministry of Water Resoucres. This paper systemically introduced the overall design structure of digital twin irrigation scheme for the three large irrigation schemes, as well as the construction components and technical approaches for the digital twin irrigation development in the three irrigation schemes, including, data base, vertical monitoring system, canal automation, models, support system and management platform, etc. The construction of the digital twin irrigation schemes in the three large irrigation schemes in Binzhou City is based on the existing information system. The total investment has reach more than 42.8 million RMB Yuan, and the major part of the pilot project has completed and put into use successfully and received good application results. The application of water schedule model could reduce planning time by 60% and saving water by 6%, and canal automation could save labor by 40%. With the further development, updating and application of the digital twin irrigation technology in the three large irrigation schemes, irrigation water management can be further improved by increasing digital, intelligent and precise management, which will contribute to high quality and sustainable development of irrigation schemes.

Objective To prepare composite scaffolds for rat H9C2 cardiomyocytes, and to optimize the scaffolds that facilitate the growth of H9C2 cardiomyocytes. Methods The electrospinning method was used to prepare three types of compo-site scaffolds, i.e., polycaprolactone (PCL)/chitosan (CS) scaffold (scaffold A), PCL/CS/zinc oxide (ZnO) scaffold (scaffold B), and PCL/CS/ZnO/carbon nanotubes (CNTs) scaffold (scaffold C), and the preparation of scaffolds was verified by the methods including X-ray diffraction (XRD), Fourier transform infrared (FTIR) spectroscopy, thermogravimetric (TG) analysis, and Raman spectroscopy. Electron microscopy and tensile stress, water contact angle, conductivity, and expansion rate tests were used to eva-luate the physical and chemical properties of the three types of scaffolds, and DAPI staining, electron microscopy, and CCK-8 assay were used to evaluate the biocompatibility of the three types of scaffolds. Results XRD, FTIR spectroscopy, TG analysis, and Raman spectroscopy showed that the three types of scaffolds were successfully prepared. Electron microscopy showed that scaffold C had a significantly longer fiber diameter than scaffold A (F=73.050,t=8.724,9.747,P

Objective To analyze the reasons of high-risk medication extravasation in the ICU and investigate prevention measures. Methods A total of 213 critically ill patients admitted to the hospital's intensive care unit from October 2022 to November 2023 were selected. The risk factors for high-risk medication extravasation in hospitalized patients were analyzed. The reasons for high-risk medication extravasation were studied, and measures to prevent high-risk medication extravasation and clinical management of high-risk medication extravasation were summarized. Results Among the 213 patients, 19 patients experienced high-risk medication extravasation, with an incidence rate of 8. 92%. Among the 19 patients, 9 cases were attributed to nurse-related factors, accounting for 47. 37% of the cases; 5 cases were due to patient-related factors, accounting for 26. 32%; 3 cases resulted from inappropriate vascular access selection, representing 15. 79% of the cases; and 2 cases were attributed to environmental factors, accounting for 10. 53%. Conclusion When administering intravenous fluids to patients in the intensive care unit, it is essential to be familiar with the types of high-risk extravasation-prone medications. Nurses should conduct a comprehensive assessment of patients' vasculature. Prevention is the primary approach, and targeted preventive measures can effectively prevent high-risk medication extravasation. (目的 分析重症监护室(ICU)患者常见高危药物外渗发生原因, 探讨应对措施。方法 回顾性分析医院ICU 2022 年 10 月— 2023 年 11 月收治的 213 例重症患者的临床资料, 探讨住院期间发生高危药物外渗的风险问题, 分析药物外渗的原因, 总结临床药物外渗预防和应对措施。结果 213 例患者中发生高危药物外渗19 例, 发生率为8. 92%。分析原因: 9(47. 37%)例由护士因素导致, 5(26. 32%)例由患者因素导致, 3(15. 79%)例由药物因素导致, 2(10. 53%)例由环境因素导致。结论 针对ICU患者输液治疗时, 护士需要熟知高危外渗药物种类, 对患者的血管状况进行全面评估, 以预防为主, 通过实施针对性的防范措施降低药物外渗的发生风险。)

In recent years, MXenes has been recognized as a promising material due to its unique physical and chemical properties. Compared with traditional two-dimensional nanomaterials, MXenes has the advantages of large specific surface area, high hydrophilicity, abundant surface active sites, and excellent chemical stability, which makes it have a wide application prospect in environmental remediation technologies such as adsorption. In this paper, the structure and physicochemical properties of MXenes were introduced. The research progress of MXenes for water pollution adsorption remediation was reviewed. The current status of adsorption treatment of heavy metals, dyes, radioactive substances and antibiotics by MXene-based adsorption materials were listed. The characteristics, adsorption conditions, adsorption capacity and corresponding adsorption mechanism of each adsorbent were introduced.The reuse ability of MXenes was discussed. On this basis, the challenges and prospects of MXenes application in the field of water treatment were discussed.

A better understanding of the spatiotemporal dynamics of species composition and biodiversity provides significant insights into the distribution patterns of biodiversity and the prediction of biodiversity fate in a global change context. However, how species and phylogenetic diversity change along elevational gradient with temporal scale in mountain ecosystems is still unknown. In this study, we used census data (2004, 2008 and 2013) of an elevational transect (elevational range 960 - 2 878 m) covering eastern and western slopes of Gaoligong Mountains, SW China, to investigate the spatiotemporal dynamics of forest arbor layer (DBH≥5 cm) species composition, species diversity and phylogenetic diversity. The results were as follows: (1) Species diversity was hump-shaped along the elevational gradient, while the phylogenetic diversity increased with increasing elevation. Clustering phylogenetic structure was observed at low elevations, and over dispersed or random structure was detected at high elevations. (2) Overall, temporal species and phylogenetic beta diversity analysis showed no significant difference among these three investigation time points. However, we found a higher clustering of phylogenetic structure along the temporal scale. (3) Spatial beta diversity showed that there was a significant loss of species at low elevations (960 - 1 381 m) on the eastern slope, where the vegetation had been disturbed or completely converted into farmland. The main lost species including Terminalia chebula, Quercus acutissima, Pistacia weinmanniifolia, Hovenia acerba and Ilex wattii. In contrast, the change in the western slope was mild at low elevations, only observing species abundance increasing, which including Cyclobalanopsis oxyodon, Symplocos chinensis, and Taiwania cryptomerioides. Therefore, we speculated that the dynamic changes in species and phylogenetic diversity of the arbor layer of subtropical evergreen broadleaf forest might be related to communities succession process and climatic change in middle and high elevations, while the communities at low elevations were seriously impacted by human activities in Gaoligong Mountains. The results deepen the understanding of the mechanisms of plant community dynamics in Gaoligong Mountains, and provide new insights to guide precise conservation strategies in the region.

Myocardial ischemia-reperfusion injury (MIRI) is one of the leading causes of death from cardiovascular disease in humans, especially in individuals exposed to cold environments. Long non-coding RNAs (lncRNAs) regulate MIRI through multiple mechanisms.This study explored the regulatory effect of lncRNA-AK138945 on myocardial ischemia-reperfusion injury and its mechanism.

Based on the ecological environmental statistics and monitoring datas of municipal wastewater treatment plants in China， the empirical sludge yield coefficient（YQ） and the sludge yield coefficient（YCOD） calculated based on the sludge proliferation caused by the removal of COD in municipal wastewater treatment plants in China were analyzed，and the response relationships between single factor such as influent COD，design treatment scale，treatment process，regional distribution and sludge yield coefficient，as well as response relationships between multiple factors and sludge yield coefficient were studied. The results showed that the average of YQ of municipal wastewater treatment plants in China was 1.33×10-4 t/m3 and the average of YCOD was 0.81 kg/kg. YQ and YCOD showed positive skewed distribution in general. The average of YQ was positively correlated with COD in influent and design treatment scale，meanwhile the average of YCOD was negatively correlated with COD in influent and design treatment scale. The COD range corresponding to the average values of YQ and YCOD was 150-250 mg/L. YQ and YCOD for wastewater treatment plants with design treatment scale of 1×104-1×105 m3/d were the closest to the overall national average，with relative deviations of 2.8% and -4.3% respectively. YQ and YCOD of A2/O process，oxidation ditch type，ordinary activated sludge method and A/O process were close to the overall national average，with relative deviations ranging from -1.8%-1.9% and -2.3%-5.8% respectively. YQ of East China and Central China，YCOD of East China and Southwest China were basically the same as the national average. The COD in influent was the most significant influencing factor for YQ and YCOD through using multifactor analysis of variance.

C2H6S2N2O3Co, monoclinic, C2/c (no. 15), a = 12.4340(7) Å, b = 6.0522(4) Å, c = 10.6851(8) Å, β = 90.543(6)°, V = 804.05(9) Å3, Z = 4, Rgt(F) = 0.0200, wRref(F2) = 0.0499, T = 298(2) K.

[Objective] For the joint application of double-row high vertical nylon mesh sand barriers and grass checkerboard sand barriers, wind tunnel experimental studies were conducted to optimize the configuration of nylon mesh sand barriers porosity in the joint sand barriers and investigate the sand control benefits of the joint sand barriers under each porosity. [Methods] Based on the wind tunnel simulation experimental data, we carried out the characterization of the changes in the wind velocity flow field, aerodynamic roughness, friction wind velocity, sand transport rate with height, and sand blocking rate of the joint sand barriers with different porosities (40%, 45%, and 55%) at different wind speeds. [Results] (1) The area of wind shadow zone of the joint sand barrier was the largest at 40% porosity of nylon mesh sand barrier under the same wind speed. (2) As the porosity of the nylon mesh sand barrier increases, the aerodynamic roughness and friction wind speed decreased, and the values of aerodynamic roughness and friction wind speed of the joint sand barrier at 40% porosity were the largest at the same wind speed and the same location. (3) The sand transport rate on the surface increased with the increase of wind speed. Inside and on the leeward side of the joint sand barriers, the sand transport rate decreased exponentially with the increase of height, and the sand transport was mainly concentrated at the height of 0~12 cm. (4) Wind speed and sand barrier rate showed a negative correlation; sand barrier rate and porosity also showed a negative correlation, the porosity of 40% of the joint sand barriers had a better sand barrier rate; double rows of high vertical nylon mesh sand barriers and grass checkerboard sand fixation measures combined with the sand barrier rate superposition also existed. [Conclusion] Therefore, the combination of double-row vertical nylon mesh with 40% porosity and grass checkerboards can realize better configuration and sand control benefits.

Objective: To investigate the protective effect of garlic polysaccharides against metabolic-associated fatty liver disease (MAFLD) in mice. Methods: Totally 50 male C57BL/6 mice were randomly equally divided into five groups, namely, normal, model, low-, medium-, and high-dose garlic polysaccharides (250, 1 000, and 3 000 mg/kg mb, respectively). After 28 days of feeding, serum and liver samples were taken for pathomorphological examination, biochemical assays, and quantitative analysis of the expression of the genes Hmox1, Cat, Gpx1, Tnf, Ccl2, Cxcl2, Cxcl10, IL-1a, IL-1b, Fasn, Acaca, Cpt1a, Acox, Cd36, Fabp1, Apob and Mttp. Results: Compared with the model group, garlic polysaccharides at the medium and high doses significantly alleviated MAFLD, restoring the pathological morphology to normal, bringing the levels of malondialdehyde (MDA) and superoxide dismutase (SOD) in liver tissue back to near-normal levels, and obviously restoring the expression of Hmox1, Tnf, Ccl2, Cxcl2, Cxcl10, Cpt1a, and Acox to normal levels. Conclusion: Intervention of garlic polysaccharides, especially at the medium dose, can basically eliminate liver damage caused by MAFLD. The underlying mechanism may be related to the regulation of lipid metabolism and inflammatory gene expression through suppressing the nuclear factor-κB signaling pathway, thereby reducing lipid deposition and lipid peroxidation.

Hemorrhagic shock is a common acute and critical disease caused by trauma in clinic. In particular, local tissue hypoperfusion and cell hypoxia caused by renal ischemia and hypoxia can easily lead to acute kidney injury. In clinical practice, safer, practical, and effective resuscitation methods for patients with hemorrhagic shock are constantly explored to achieve the purpose of better protection of the kidney, such as the applications from colloidal crystal liquid to hypertonic fluid, from normal-pressure resuscitation to low-pressure resuscitation, from correcting blood pressure to restoring oxygen supply to tissue cells, from maintaining hemodynamic stability to inhibiting apoptosis, and from vasoactive drugs to Chinese traditional medicines to enzyme inhibitors. This article reviews the research progress of kidney protection for patients with hemorrhagic shock in recent years.

In the era of evidence-based medicine, it is necessary to explore the unique advantages of traditional Chinese medicine (TCM) based on standardized technical methods and operating procedures in order to achieve the modernization and internationalization of TCM and benefit all humanity. The proposal of a three-pronged evidence system combining TCM theory, human experience and experimental evidence marks an important progress in the thinking method of the TCM evaluation system. The multi-evidence body integrated through appropriate methods provides a strong support for the clinical guideline recommendations and evidence-based health decision-making in TCM. Based on the current methodological progress of international evidence synthesis and grading, this paper proposes a novel approach for integrating multi-evidence in TCM: the MERGE framework. The aim is to establish a solid foundation for the development of this methodology and provide guidance for the advancement of evidence-based medicine framework in TCM.

The aims of developing rapid and living guidelines is to keep the recommendations in the guideline up-to-date. Compared with the conventional guideline, the rapid and living guideline can make better use of the existing evidence and apply and transform the evidence in a timely manner. This paper introduces the advantages and usage of rapid and living guidelines, the development process and existing challenges, and offers some insights, in order to provide reference for domestic organizations and scholars engaged in guideline development.

Objective: To optimize the extraction process of total flavonoids from Aloe vera stir-fry products and investigate its antioxidant activity. Methods: Single factor test and response surface method were used to optimize the extraction process, The content of total flavonoids in Aloe vera raw and fried products from different areas was determined by UV spectrophotometry,The antioxidant activity was studied by DPPH·, ABTS+·, ·OH and FRAP methods, the correlation between total flavonoids yield and antioxidant activity was analyzed by Pearson correlation. Results: The optimal extraction conditions were as follows soaking time 3 h, ultrasonic time 15 min, ethanol volume fraction 60% and solid-liquid ratio 1∶10 （g/mL）. The content of total flavonoids in Aloe vera increased. The total flavonoids of Aloe vera raw and fried products from 8 producing areas had certain scavenging effect on four kinds of free radicals, and the concentration was positively correlated with that of Aloe vera, showing good antioxidant activity.Correlation analysis showed that antioxidant capacity was significantly correlated with total flavonoid yield. Conclusion: The optimized extraction process of total flavonoids from Aloe vera stir-fried products is reasonable and feasible, and has strong antioxidant activity.

Spectral uncertainty is one of the most prominent spectral characteristics of hyperspectral images. Compared to the process of remote sensing hyperspectral imaging, hyperspectral imaging under land-based imaging conditions has the characteristics of variable detection directions, random imaging times, and complex environmental conditions, resulting in increased spectral uncertainty of targets in land-based hyperspectral images. The spectral uncertainty of the target mainly refers to the phenomenon of “Same spectral reflectance but different objects” and “Same object but different spectral reflectance” which poses significant difficulties for subsequent hyperspectral image target detection and recognition. In order to analyze the spectral uncertainty of hyperspectral images in land-based applications and address the issue of spectral uncertainty in similar targets, a spectral uncertainty evaluation index based on standard deviation vector was proposed. For the overall spectral separability between different types of targets, a quantitative index based on Jaccard Distance (JD-SSI) is proposed to measure the spectral separability of different kinds of targets. The experiment focused on grassland and its four typical camouflage materials, analyzing the spectral intra class differences and inter class separability of each target with grassland. It is a fundamental work for studying the spectral characteristics of land-based hyperspectral images, providing a new approach for subsequent spectral band extraction, hyperspectral image classification, and target detection tasks.

C16H14ZnN4O5, orthorhombic, Pbcn (no. 60), a = 19.0280(5) Å, b = 9.0707(2) Å, c = 20.0081(6) Å, V = 3453.34(16) Å3, Z = 8, Rgt (F) = 0.0396, wRref (F 2) = 0.0953, T = 230(2) K.

Differentiated thyroid carcinoma (DTC) is the most common thyroid carcinoma, with a generally favorable prognosis for most patients. At present, Surgery, 131I and thyroid stimulating hormone (TSH) suppression are the main therapeutic means among which, TSH suppression therapy plays an important role in the postoperative management of DTC patients, which has the effect of decreasing the risk of recurrence, slowing down the progression of the disease, and improving long-term survival. However, excessive TSH suppression can increase the risk of adverse events in the cardiovascular and skeletal systems. Currently, there is ongoing debate regarding the optimal target range for serum TSH suppression in patients of all types. In clinical practice, it is important to carefully balance the benefits and potential risks of TSH suppression, and to personalize the target range for serum TSH based on dynamic assessments during patient follow-up. This article aimed to discuss the intensity, benefits, and risks of TSH suppression after surgery for DTC patients, as well as the current controversies about this topic.

Considering the complex operating environment of offshore large megawatt wind turbines, a connecting rod coupling with metal elastic joints and parallel shaft holes is developed. The strength of its key components is checked, the overall finite element model of the connecting rod coupling is established, and the stress magnitude and distribution characteristics of each key component under rated (maximum) torque are analyzed.Based on the torque load sequence, combined with the coupling material S/N curve, and using finite element analysis software, the coupling fatigue life is obtained. Through stiffness tests, static and dynamic performance tests and dynamic balance tests, the overall axial, angular, and torsional stiffness are obtained, the slip torque is calibrated, and the torque transmission efficiency and dynamic balance level are given. The results show that the structural strength and life of the coupling meet the design requirements, and can achieve the expected slip torque effect; at the same time, the torque transmission efficiency can reach more than 99.93%, the dynamic balance level does not exceed G1.0, and the coupling performance can meet the requirements of large offshore wind turbines.

Abstract A novel polysaccharide PSRa-2 was purified from Stropharia rugosoannulata fruiting bodies using high pressure homogenization-assisted dual enzyme method, ion exchange, and gel chromatography. The PSRa-2 was characterized via FT-IR, HPAEC, SEM, Congo red test, SEC–MALLS-RI, methylation analysis, and NMR analysis. Structural characterization revealed that PSRa-2 was an α-glucan with a Mw 455.6 kDa. The backbone of PSRa-2 was composed of →4)-α-d-Glcp-(1→ and →3)-α-d-Glcp-(1→ and branches of α-d-Glcp-(1→ at position O-6 of →4,6)-α-d-Glcp-(1→. PSRa-2 induced splenocyte proliferation and protected splenocytes against 5-Fu-induced immunosuppression by restoring the proliferation and secretion of cytokines (TNF-α and IL-2) secretion levels. Thus, PSRa-2 exhibits obviously immunomodulatory activity and represents a potential natural immunomodulator. Graphical Abstract

Abstract Background Primary immune thrombocytopenia (ITP) can increase the risk of neonatal thrombocytopenia (NT). This study aimed to investigate the key factors for predicting the risk of NT. Methods Data were retrospectively collected from all pregnant women with ITP from 2015 to 2021. Newborns were divided into two groups according to the presence or absence of NT. The parameters between the two groups were then compared. Next, the correlation between maternal platelet-to-lymphocyte ratio (PLR) and neonatal platelet count was analyzed by logistic regression and generalized additive model. Additionally, the relationships among the platelet counts of siblings were also determined. Results A total of 147 maternal cases were included. NT was observed in 46 (31.72%) neonates. A history of previous children with NT appeared to have predictive value for NT (OR 16.484, 95% CI 2.212–122.858, P

In underwater mobile visible light communication systems, the received optical power varies significantly when the transmission distance changes due to the large intrinsic absorption of water. This paper proposes an underwater mobile visible light communication technology based on Gain Feedback Control (GFC), which expands the dynamic range of both communication distance and Field of View (FOV). At a moving speed of 0.13 m/s, we achieved real-time duplex video transmission with adjustable communication distances between 0.9~5.2 m, data rates of 5.0 Mbit/s, video pixels of 800×600, and Frames Per Second (FPS) greater than zero. Compared with the system without GFC, the dynamic range of communication distance and receiving FOV angle has expanded to 5.3 and 2.8 times, respectively. In order to further verify the performance of the system, we measured the average scintillation index, data transmission outage probability, and Bit Error Rate (BER) of the system at different moving speeds. Within the dynamic range of communication distance, as the moving speed increases, the average scintillation index and BER correspondingly increase. However, even when the moving speed reaches 0.83 m/s, which is the maximum speed of the system, communication remains uninterrupted. Our results indicate that the system has good robustness and has good potential underwater mobile communication applications.

To explore the flow and heat transfer characteristics of liquid lead-bismuth eutectic (LBE) in the hexagonal rod bundle assembly, an experiment on liquid lead-bismuth heat transfer was carried out at 0.250 kPa of operation pressure, 200-300 ℃ of inlet temperature, 0.47 071.48 W·m-2 of heat flux, 0.4 kg·s-1 of mass flow rate, and 300-600 of Peclet number (Pe). The experimental facilities and operating conditions were introduced in detail, and the uncertainty of this experiment was analyzed to ensure the accuracy of the results. The heat transfer characteristics of liquid lead-bismuth in the rod bundle under different measuring points, heat flux, and inlet temperature were analyzed, and the relevant experimental results were obtained. The simplified Reynolds averaging equation of turbulent flow and heat transfer were also introduced to analyze the characteristics of LBE based on experimental results. The experimental data show that different inlet temperatures have little effect on the flow and heat transfer characteristics of LBE. At high Pe operating condition, the difference of heat transfer of LBE under different wall heat fluxes is also not significant. Based on the experimental measurements of flow and heat transfer characteristics in the rod bundle channel, the flow and heat transfer empirical relations of liquid metal in the world were calculated and evaluated. The results show that the relation of Mikityuk has the best prediction to this experiment which is introduced in this article. This is because that Mikityuk sorts and analyzed the previous heat transfer relations for liquid metals, and obtains a new form to describe the heat transfer relations for liquid metals. Therefore, a new heat transfer relation of LBE was fitted with reference to the basic form of relation of Mikityuk. The applicability and reliability of the new empirical relation were checked out and evaluated by the experimental data of Karlsruhe Institute of Technology (KIT) in Germany under 19 rods bundle operating condition. The calculation results show that the deviation of the new empirical relation for the KIT 19 rod bundle is ±20%, which proves that the new empirical relation has the high applicability and reliability. Finally, based on the similarity principle of fluid mechanics, the reason for the deviation between the empirical relationship fitted in this article and the KIT 19 rod bundle experiment data was also analyzed. The experimental data and the new empirical relation in this article can provide the references and technical supports for the design and research of flow and heat transfer characteristics of LBE in rod bundle channel of hexagonal assembly in the liquid metal cooled reactor in China.

In the rapid development of the petrochemical industry in the context of the increasing number of large tanks, large tanks in the production and installation process encountered the first problem the pontoon plate welding deformation and weld seam is too large and other defects, through the construction of the ship plate welding special robotic arm of the intelligent perception and decision-making system to solve such defects. Summarize the Structure of crude oil storage tanks and welding process characteristics based on the ultrasonic distance measurement in the distance sensor to obtain the characteristic data set, combined with the distinct data and computer programming language to build the intelligent perception and decision-making system of the unique robotic arm for ship plate welding. They set the relevant parameter values based on simulation experiments on the welding of a particular robot arm perception and decision-making system for the application of example analysis. Compared to the traditional LSTM algorithm, the YOLO-v5 network-driven weld target detection algorithm has a 5.5% higher accuracy and a 9.1% higher success rate in time robustness evaluation. In addition, the welding decision model based on the DDPG algorithm possesses excellent computational accuracy, and the average error of each parameter in the welding decision of the ship plate is controlled within 5%. This study greatly improves the welding quality of the pontoon plate of crude oil storage tanks and provides solid technical support for the successful completion of the project.

To solve the problem of high tobacco content and serious tobacco waste caused by poor equipment parameter settings in the tobacco stem shreds air separation process of the existing air separator of tobacco cutting workshop, this paper proposes a computational fluid dynamics (CFD) simulation analysis strategy for the aerodynamic characteristics of particle suspension in the air separator of tobacco cutting workshop. Firstly, in response to the problem that CFD numerical simulation software can only be applied to spherical models and cannot directly simulate the process of tobacco stem shreds selection, the discrete element analysis strategy DEM is introduced for fusion improvement, achieving effective simulation analysis of tobacco stem shreds selection process. Secondly, in response to the existing literature not considering the movement of the cut stem particles in the air separator and neglecting the particle collision during the tobacco stem shreds separation process, which leads to a certain deviation in the analysis data, a collision simulation model considering the radial movement distance between the stem and the floating chamber wall of the air separation device is introduced, which is fed back into the DEM-CFD fusion numerical simulation process to deeply optimize the parameters and improve the recovery efficiency of tobacco consumption. Finally, a domestic cigarette factory brand tobacco stem shreds and sticks were used as the experimental object for simulation analysis, and the optimal separation negative pressure of the air separator of the tobacco cutting workshop was obtained, verifying the effectiveness of the proposed method.

To solve the problems of low model simulation accuracy and slow simulation algorithm running speed that is not suitable for actual production needs caused by neglecting particle motion collision in the existing air separator of tobacco cutting workshop during the tobacco stem shreds air separation process, this paper proposes an equipment optimization research strategy based on particle suspension characteristics for the Tobacco Stem Shreds Air separator. Firstly, using the principles of suspension separation and inertial separation, a two-stage separation device for tobacco stem shreds is designed, and a two-stage separation chamber model is established. Computational fluid dynamics (CFD) numerical simulation is used to study the separation chamber of the tobacco stem shreds two-stage separation device. Secondly, the Discrete Element Simulation Platform is introduced to improve and enhance the CFD strategy, and it is used for simulation analysis of the Tobacco Stem Shreds Air separator process to solve the problem of ignoring collisions during particle motion solely using the CFD strategy. Finally, a parallel computing strategy is introduced to construct a parallel discrete unit individual (DUI) based CFD strategy (DUI-CFD), which solves the problem of low computational efficiency in single-threaded DUI-CFD coupling simulation technology. The proposed method has been shown to accurately simulate the separation process of tobacco stem shreds in an air separator and achieve higher simulation calculation speeds, as demonstrated by the experimental results.

Traditional music encapsulates the profound historical wisdom and cultural imprints of a nation, representing an invaluable asset within the enduring heritage of its people. It also serves as an essential resource for music education in higher education institutions. This study aims to delineate the methodologies for the productive incorporation of traditional music into the music curricula of colleges and universities. Utilizing a questionnaire survey, this research examines the current practices of integrating traditional music into academic settings while concurrently identifying and analyzing prevalent challenges encountered in this endeavor. A factor analysis was conducted to extract the principal components from the identified challenges, providing a structured understanding of the influencing factors. The findings from this study suggest that the primary determinants impacting the integration of traditional music into university music programs include the pedagogical approaches of educators, the educational environment, and the prevailing campus culture. Furthermore, the study proposes several effective strategies for the integration of traditional music into music education, which include fostering emotional connections with the music, emphasizing scientifically backed vocal techniques, and incorporating exemplary cases into the curriculum. These strategies aim to enhance the educational experience and cultural appreciation among students, thereby enriching the music education landscape in higher educational settings.

With the trend of information technology, contemporary English language teaching is moving positively in the direction of intelligence. This study utilizes the text embedding model to represent language and convert it into a format that computers can process. Through the methods of adversarial training and self-learning training and adding the fine-tuning process to improve the effect of cross-linguistic word vectors, the machine reading comprehension and translation model is constructed to ensure the semantic consistency between it and the input source text. Meanwhile, this study combines the model to implement an innovative teaching model of English in colleges and universities and evaluates its effectiveness. The results show that the effectiveness of the proposed method in this paper on this indicator has been narrowed to a gap of 11.48%, which significantly confirms the effectiveness of the proposed model. In the direction of E2C, the cross-linguistic embedding model has the highest average F1 score (0.894). The average score of class 1 results is 82.6843, corresponding to a critical confidence level of 0.036

This paper builds a power operation target detection model based on the YOLOv4 algorithm in intelligent image recognition, and optimizes the YOLOv4 algorithm by combining with the loss function to improve the accuracy of power target operation detection. The kmeans++ algorithm was used to cluster the electric power operation behaviors to obtain a more accurate electric power operation behavior dataset. Three sets of tests were conducted after the model was constructed, targeting the behavioral set of electric power workers in a certain place and the behavior in VOC format, followed by the multi-target tracking effect test. The analysis based on the obtained data showed that the helmet placement detection confidence, fatigue detection confidence, smoking detection confidence, and fall detection confidence reached 0.97, 0.93, 0.89, and 0.93, respectively. The transmission speed got 53.58 fps, and the recall and precision of the multi-target tracking were also above 93%. The YOLOv4 detection model based on keans++ clustering algorithm can effectively detect and identify the variable power operation behavior images.

This paper synthesizes the influencing factors of financial stability in Henan Province, selects indicators from both internal and external aspects, and determines the index system of economic stability in Henan Province. On this basis, the entropy method is utilized to attach weights to each indicator, and the impulse response and Granger causality test in the VAR model is used to detect the financial stability of Henan Province. In addition, considering that financial risk early warning is critical to the economic security of the country and Henan Province, the principal component analysis method is further used to screen the risk warning indicators, construct a VAR model for financial risk early warning in Henan Province, and analyze the financial risk based on the comprehensive risk warning score. The results show that the risk status of banking financial institutions (16.3252) is relatively poor, while the complete risk status of financial guarantee institutions (42.62864) is at the warning level, and the VAR model accurately reveals the financial stability and risk status of Henan Province. This study provides theoretical knowledge for the modeling analysis of financial stability and risk early warning research in Henan Province, which is of great practical significance for improving the effect of local financial supervision in Henan Province and maintaining the stable operation of finance in Henan Province.

In this paper, firstly, according to mental health education, the research on the perception penetration of the piano course is illustrated from the two directions of body perception and mind perception. Secondly, it researches the music feature extraction in the piano course, obtains the amplitude, wavelength and frequency of the music feature according to the piano string vibration equation, then applies the short-time Fourier analysis to identify the music feature and reconstructs the piano timbre by using the identification result, which provides technical support for the design and realization of the piano course teaching system. Then, the overall design direction of the piano course teaching system is determined according to the teaching needs of the piano course in colleges and universities, and then the core module of the piano course system is realized. At the same time, the teaching of piano courses is empirically analyzed through statistical analysis. The results show that there is a significant difference between piano course teaching and the degree of perception and cognition in piano course teaching (F=4.194, p

To better allow accurate identification of non-smooth signals in two-way relay networks. In this paper, an algorithm based on the two-way relay network system model, the RLS algorithm, is proposed. The algorithm introduces the recursive least squares principle algorithm to the basic cost function of nonsmooth signal identification, optimizes the signal identification model by exponential weighting, and uses the time-varying variance matrix and the optimal identification data separation matrix to make real-time estimates of the new cost function for obtaining nonsmooth signals. And a new index, the PI index, is introduced to define whether the non-stationary signal is stable and reliable. Through two sets of comparison tests, we can learn that the RLS algorithm based on the two-way relay network system is better than other algorithms in the identification of non-stationary signals. It shows that the RLS algorithm can better identify and manage the information flow in a two-way relay network, make the non-stationary signal more stable, and further improve the convergence and convergence speed of the non-stationary signal to provide a better information interaction experience for both sides of electronic communication.

This paper firstly takes the demand of older people for indoor space environment as a breakthrough and analyzes the characteristics of the elderly group, the spatial environment demand generated by the physiological and psychological characteristics of the elderly and the application of computer simulation in the design of aging-friendly indoor space. Secondly, we use a color space algorithm and feature extraction algorithm to construct an aging-friendly design model based on a human-computer interaction algorithm. Finally, several elderly individuals’ preferences are examined and analyzed. The results show that more older adults request the design of three aspects, namely anti-slip measures, intelligent door lock and handrail, in the space design, accounting for 86%, 83% and 87%, respectively. These data were used to generate the final interface form suitable for most older adults.

Friction capacity is a principal characteristic in designing driven piles. Considering the complexities in analyzing the behavior of piles, many studies have recommended the use of machine learning for this purpose. However, the used methodologies need to be updated and improved with respect to recent computational advances such as the development of optimization algorithms. In this work, three metaheuristic algorithms, namely equilibrium optimizer (EO), biogeography-based optimization (BBO), and salp swarm algorithm (SSA) are deployed to optimize an artificial neural network (ANN) for predicting pile friction capacity based on pile geometry, effective stress, and shear strength. The findings indicate the suitability of the proposed algorithms. More specifically, in the training phase, the ANN supervised by SSA yielded the most accurate results, whereas in the testing phase, the BBO-ANN outperformed the two other models. The calculated mean absolute error, Pearson correlation coefficient, and root mean square error for the models are as follows: 6.0740, 0.9385, and 7.0678 for the EO-ANN, 6.1450, 0.9440, and 6.7343 for the BBO-ANN, and 5.9684, 0.9395, and 7.1322 for the SSA-ANN. It is shown that both SSA-ANN and BBO-ANN can serve as efficient tools for the reliable design of driven piles, providing efficient computational intelligence alternatives to traditional design methods.

This paper summarized the treatment outcome of moxibustion combined with Traditional Chinese Medicine (TCM) ointment and nursing management of a patient with low back pain caused by lumbar disc herniation. Based on the comprehensive nursing evaluation, moxibustion and TCM ointment technology were carried out to alleviate the symptoms of low back pain and swelling pain in lower limbs. (本文总结中医特色护理技术治疗1例腰痹病疼痛患者的护理体会。在完善护理评估的基础上, 实施中医特色护理技术艾灸和中药膏摩。患者经干预后腰部疼痛及双下肢胀痛的症状缓解。)

Postoperative urinary retention is one of the common complications after hip fracture surgery. This paper sorts out and analyzes the influencing factors of postoperative urinary retention of hip fracture and application effect of moxibustion in nursing of postoperative urinary retention, in order to provide more reference for improvement of early rehabilitation of patients after hip fracture surgery. (尿潴留是髋部骨折术后常见的并发症之一, 严重影响患者术后康复。本文整理和分析髋部骨折术后尿潴留的影响因素, 总结艾灸改善髋部骨折术后尿潴留临床应用现状, 旨在为更好地促进髋部骨折术后尿潴留患者的康复提供参考。)

The threats of nonrenewable energy consumption and environmental disruption caused by the extensive use of metals and polymers derived from petroleum have prompted the development of eco-friendly, high-performance, and long-lasting structural materials. After various treatments, cellulose materials exhibit exceptional properties such as high strength, fire resistance, hydrophobic properties, and thermal stability. Cellulose-based structural materials have excellent mechanical strength and the distinct advantages of being lightweight, inexpensive, and energy efficient. This review summarizes the recent progress in the preparation methods and properties of high-performance cellulose structural materials such as high-strength cellulose structural materials, thermal insulation cellulose structural materials, flame-retardant cellulose structural materials, hydrophobic cellulose structural materials, cellulose structural material with electrical properties, and other cellulose structural materials. The future of high-performance cellulosic structural materials and the prospective of their development are concluded.

The application of magnesium alloy is limited due to its poor deformation ability and corrosion resistance.In order to extend its application，a novel Mg-0.12Ca-0.08Ba alloy was designed and prepared by low alloying method.The corrosion behavior of the as-prepared alloy in 3.5%NaCl solution was investigated by immersion test in NaCl solution，SEM，EDS analysis and electrochemical test.Results showed that with the increase of corrosion time，the surface of extruded and extruded annealed Mg-0.12Ca-0.08Ba alloy changed from local pitting to large-scale corrosion，and the corrosion products gradually increased.The corrosion products were mainly MgO and Mg(OH)2，the line roughness and surface roughness of the alloy surface increased significantly，and the hydrogen evolution rate decreased gradually.Compared with extruded magnesium alloy，the hydrogen evolution rate of annealed alloy was slower，the open circuit potential was higher，and the corrosion current was smaller，indicating that the corrosion resistance performance of annealed alloy was better.

In clinical practice, early diagnosis, accurate assessment and effective management of rare skin diseases are difficult. The Big Data gives rise to the exponential growth of biomedical data, including medical images, multi-omics information and electronic health records. Artificial intelligence (AI), particularly machine learning, has its advantage in processing complex and abundant information. Researches have applied AI in the field of rare skin diseases. In this paper, we briefly describe, discuss, and foresee the research on AI based image data, multi-omics data & text data and AI in assisting rare skin disease drug development, in order to improve the awareness of dermatologist understanding of this field and actively promote the development of AI usage on rare skin diseases.

Rare diseases are characterized by extremely low incidence rate and small number of patients in total. The drugs used to treat rare diseases are called orphan drugs. Currently, 450 kinds of rare skin diseases have been identified, most of which lack in effective treatments. Supported by the policy-making from the country and pushed by all sectors of the society, drugs for rare skin diseases have been emerging continuously recently in China. This paper reviews the current accessibility of the orphan drugs for skin rare diseases that have been approved in China and in other countries and regions for a better understanding of rare dermatosis and orphan drugs for the diseases.

Fatty acid oxidation (FAO) has been proven to be an accomplice in tumor progression. Carnitine palmitoyltransferase 1C (CPT1C), a rate-limiting enzyme in FAO, mainly functions to catalyze fatty acid carnitinylation and guarantee subsequent entry into the mitochondria for FAO in colorectal cancer (CRC). Gene expression data and clinical information extracted from The Cancer Genome Atlas (TCGA) database show significantly higher expression of CPT1C in patients with metastatic CRC ( P=0.005). Moreover, overexpression of CPT1C is correlated with worse relapse-free survival in CRC (HR 2.1, P=0.0006), while no statistical significance is indicated for CPT1A and CPT1B. Further experiments demonstrate that downregulation of CPT1C expression leads to a decrease in the FAO rate, suppression of cell proliferation, cell cycle arrest and repression of cell migration in CRC, whereas opposite results are obtained when CPT1C is overexpressed. Furthermore, an FAO inhibitor almost completely reverses the enhanced cell proliferation and migration induced by CPT1C overexpression. In addition, analysis of TCGA data illustrates a positive association between CPT1C expression and HIF1α level, suggesting that CPT1C is a transcriptional target of HIF1α. In conclusion, CPT1C overexpression indicates poor relapse-free survival of patients with CRC, and CPT1C is transcriptionally activated by HIF1α, thereby promoting the proliferation and migration of CRC cells.

ObjectiveTo assess the quality and safety of tea substitutes sold in Hebei Province.MethodsSixty-three samples of tea substitutes were collected from the markets of three cities in Hebei Province. Each sample was tested for moulds， coliforms， cadmium， moisture and ash content according to national standard methods. The test results were assessed in terms of qualification according to local safety standard of Hebei Province for tea substitutes.ResultsAmong the 63 samples， 16 samples had moulds counts exceeding the limit. The over-limit rate for moulds was 25.4%； the moulds contents varied from 140~18 000 CFU/g in over-limit samples with the median of 600 CFU/g. Four samples were found to exceed the limit of coliforms with a 6.3% （4/63） over-limit rate. The coliforms measurements of over-limit samples were between 7.5~110 MPN/g with the median of 110 MPN/g. One sample was over limit for cadmium with the content of 9.6 mg/kg. The test results for moisture and ash content of the 63 samples were all in accordance with the standard. Among the 63 samples， 46 samples were qualified for all measurements， and the total qualified rate was 73.0% （46/63）. There was no statistics difference in the qualified rate of tea substitutes among different producing areas and different product types.ConclusionThe unqualified rate of the tea substitutes sold in Hebei Province was high. Most unqualified samples exceeded the standard for mold， while a few samples exceeded the standard for coliforms and cadmium.

Long intergenic noncoding RNA 00511 (LINC00511) predicts poor prognosis in various malignancies and functions as an oncogene in distinct malignant tumors. The role of LINC00511 in melanoma progression was assessed. In our research, expression of LINC00511 in melanoma cells was detected by quantitative reverse transcription PCR. Colony formation and CCK8 assays were used to detect cell proliferation. Cell metastasis was evaluated by transwell and wound healing assays. Downstream target of LINC00511 was investigated by luciferase activity assay. As a results, LINC00511 was elevated in melanoma cells and tissues. Loss of LINC00511 decreased cell viability, reduced proliferation, invasion, and migration of melanoma. miR-610 was target of LINC00511, and miR-610 binds to 3′UTR of nucleobindin-2 (NUCB2). Inhibition of miR-610 attenuated LINC00511 deficiency-induced decrease of NUCB2 in melanoma cells. Loss of miR-610 weakened LINC00511 deficiency-induced decrease of cell viability, proliferation, invasion, and migration of melanoma. In conclusion, silence of LINC00511 reduced cell proliferation and metastasis of melanoma through down-regulation of miR-610-mediated NUCB2.

High-entropy alloys have attracted great attention in various fields due to their high-entropy effect, severe lattice distortion, slow diffusion and special and excellent material performance due to the combination of various alloying elements in equal or near-equal molar proportions. Its high strength and hardness, fatigue resistance, excellent corrosion resistance, radiation resistance, near-zero thermal expansion coefficient, catalytic response, thermoelectric response and photoelectric conversion make high-entropy alloys have potential applications in many aspects. High-throughput computation and machine learning technology have rapidly become powerful tools to explore the huge composition space of high-entropy alloys and comprehensively predict material properties. The basic concepts of high-throughput computing and machine learning were introduced in this paper as well as the advantages of first-principles calculation, thermodynamic/kinetic calculation and machine learning in the research of high-entropy alloys. The application research status of high-entropy alloy composition screening, phase and microstructure calculations and performance prediction were summarized. In the final part, the existing problems, and the solutions and future prospects of this field were summarized, including developing tools for first-principles calculations and machine learning of high-entropy alloys, building high-quality databases for high-entropy alloys and integrating high-throughput computing with machine learning to globally optimize the mechanical property and service performance of high-entropy alloys.

In order to improve the dust control efficiency of swirling air curtain in fully mechanized excavation face and reduce the pollution of high concentration dust, this paper analyzes the influence of dust extraction area on swirling air curtain dust control by combining numerical simulation with engineering measurement. The results show that with the increase of the distance between the air extraction vent and the working face, the farther the air extraction duct is from the side wall of the roadway opposite to the air compression duct, the lower the dust control ability of the working face flow field, and the higher the diffusion distance and diffusion angle of the high concentration dust. Based on the simulation results, it is determined that the optimal dust extraction area of the swirling air curtain dust control in the fully mechanized excavation face is 2 m away from the working face, and the air extraction duct is installed on the side wall of the roadway opposite to the air compression duct. Through engineering application, the validity of the numerical simulation conclusion is verified. The dust concentration at the driver of driving machine can be reduced to 24.6 mg/m3, the dust control efficiency of the air curtain reaches 91%.

BACKGROUND As an oil and gas geochemical detection and analysis technology, rock pyrolysis is widely used in oil and gas exploration. Moreover, this technology is fast, economical, and effective in evaluating the hydrocarbon-generating potential of source rocks and identifying the oiliness of reservoir rocks. Rock pyrolysis standard materials are used for the calibration and quality monitoring of rock pyrolysis instruments, as well as being the key material basis for quantitative calculation of rock pyrolysis analysis parameters for source and reservoir rocks. At present, rock pyrolysis standard materials are relatively scarce, and most of the on-site mud logging rock pyrolysis tests use value transfer samples for instrument calibration and quality control, which brings uncertainties to data quality. At the same time, the rock pyrolysis standard material in China lacks the important parameter S4 for source rock evaluation, while the rock pyrolysis standard material in foreign countries has only one value and cannot be used for gradient calibration. Therefore, it cannot meet the application and development requirements of rock pyrolysis analysis technology in oil and gas exploration. OBJECTIVES To develop five kinds of reference materials for rock pyrolysis, with a certain gradient value of each parameter, which can satisfy the needs of conventional oil and gas testing in petroleum exploration. METHODS Candidate samples were collected from dark mudstone, oil shale and carbonaceous mudstone in the Triassic Yanchang Formation, Permian Shanxi Formation, Taiyuan Formation and Carboniferous Benxi Formation in the Ordos Basin. After impurity treatment, jaw crushing, ball mill fine grinding, powder sieving 200 mesh, mixer mixing, 60Co irradiation disinfection and sterilization, and passing the preliminary homogeneity test, the samples were packed and numbered. RESULTS For each candidate, 5×30 bottles of samples were randomly selected for uniformity testing, and the measured values of F were all less than F0.05(29, 60). There was no significant systematic difference within and between groups of samples, and the uniformity was good. Short-term stability and long-term stability were tested by the straight line fitting method, and the slope of the fitting line |b1| < t0.05·S(b1), had good stability. Eight laboratories adopted the rock pyrolysis analysis method for collaborative determination. All of the determination analysis data conformed to the normal distribution, and the determination results and corresponding uncertainties were obtained. The fixed value parameters are S2, Tmax, S4 and reference value S1, wherein the value range of S2 is 2.01-11.90mg/g, the value range of Tmax is 437-442℃, the value range of S4 is 9.5-29.9mg/g. CONCLUSIONS In accordance with the national standard material research standards and specifications, five reference materials for rock pyrolysis, GBW(E)070323, GBW(E)070324, GBW(E)070325, GBW(E)070326 and GBW(E)070327, were successfully developed. The value of each parameter presents a certain gradient, which basically covers the content range of conventional pyrolysis analysis.