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Powder bed fusion titanium alloys， as an important metallic material， are widely used in aerospace， medical devices and automotive industries.However， due to their unique material properties and processing methods， surface quality and performance remainone of key issues that constrain their application.In this paper， the research progress on surface polishing techniques for powder bed fusion titanium alloys was reviewed.The advancements in chemical polishing， electrochemical polishing， plasma electrolytic polishing， laser polishing and mechanical polishing were introduced.These techniques have provided options for achieving surface quality and performance that meet various application needs for powder bed fusion titanium alloys.Additionally， the development of composite polishing technologies and related advancements were also prospected.

[Objective] The summer rainfall intensity in the desert steppe is strong and concentrated, and the harm of hydraulic erosion is serious. It is of great significance for soil and water conservation in this area to clarify the process of runoff and sediment yield, as well as the law of nutrient transport. [Methods] The experiment is based on natural rainfall observation data and artificial rainfall simulation methods, studying the runoff and sediment production processes, nutrient transport patterns in the desert steppe area, and investigating the impact of vegetation on runoff and sediment production through different vegetation treatments. [Results] (1) Different vegetation treatments had different effects on soil and water conservation. Among the three different treatments, the soil and water conservation effect of natural grassland the best, and the runoff reduction rate and sediment reduction rate were 11.37% and 49.67%, respectively. (2) The process of runoff and sediment production would change the material composition of surface soil, make the surface soil coarse-grained, and also affect soil nutrients. After rainfall, the sand content increased by 5.97%~15.71%, and the soil available N, P and organic matter decreased by 40.84%, 27.08%, 33.49%, respectively. (3) The runoff and sediment yield increased with the increase of slope and rainfall intensity, and the power function can better fit the relationship between rainfall duration and runoff and sediment yield. With the increase of rainfall intensity, the peak runoff yield increased by 6.70 L on average when the slope was 5°~25°. When the rainfall intensity is 0.6~2.0 mm/L, the inflection point of the sediment yield increase rate will appear between the slope of 15°~20°. [Conclusion] The research results can provide a theoretical reference for the comprehensive prevention and control of soil and water loss in desert steppe areas, which is helpful in improving the ecological environment of desert steppe regions and carrying out soil and water conservation efforts in this area.

The temperature prediction of geothermal reservoirs at different depths is to determine the key parameters such as thermal energy storage, heat output capacity, and the sustainable utilization period of geothermal reservoirs. Taking the geothermal wells in the Qiabuqia area of Gonghe Basin as an example, this study proposes a temperature prediction model for heat reservoirs under different constraints based on particle swarm optimization (PSO) and long short-term memory network (LSTM). The prediction effect of this model is verified by comparing with those of the BP model and LSTM model. The results show that the RMSE value, MAPE value and MAD value in the prediction results of the model are the smallest compared with those in BP and LSTM models, and the minimum RMSE value is only 1.192. The determination coefficient of the model is 0.929, showing a good prediction effect. This indicates that this model could realize the prediction of reservoir temperature in geothermal system, which provides references for the efficient and long-term development of geothermal system.

Federated learning, capable of training models by sharing gradient parameters, faces the risk of dishonest data aggregation by malicious servers during the model aggregation process. Untrusted users participating in federated learning may also pose a threat by poisoning the global model, thereby compromising the reliability and security of the model training process. To address these issues, homomorphic proxy re-authentication was introduced for the first time to propose a bi-directional authentication method suitable for multi-party aggregation computation. Additionally, a privacy-preserving, efficient, and trustworthy federated learning aggregation method was constructed, combining the double mask technique. This method not only enables users to verify the correctness of global model aggregation results but also allows the aggregation server to assess the trustworthiness and model integrity of the model sources uploaded by the users. It prevents attackers from maliciously manipulating users to disrupt secure aggregation, without leaking users’ private data during the verification process. The security of the verifiable federated aggregation method was demonstrated through formal security analysis, which effectively resists forgery attacks and Sybil attacks, exhibiting good robustness. Simulation experiments further illustrated that the proposed method can achieve credible verification of the aggregation results without impacting federated training. Moreover, the verification process remains unaffected even if users quit in the middle.

Abstract [Objective] The study aims to elucidate the regulatory mechanism of the double petal trait in rose. We cloned an AG homologous gene RcAGL61, which was previously screened and related to flower development, and examined its function. [Methods] qRT-PCR was used to analyze the expression of RcAGL61 in flower buds of the double-petaled lines and single-petaled lines in Rosa chinensis ‘Zhaiye Tengben Yuejihua’ × R. chinensis‘Old Blush’ population. RcAGL61 was cloned from the double-petaled lines and single-petal lines, and bioinformatics analysis, subcellular localization, and VIGS experiments were carried out. [Results] (1) The expression of RcAGL61 was higher in the five developmental stages of the singlepetaled line than the double-petaled line, and the expression was higher in S4-S5 stages than in S1-S3 stages in the single-petaled line. (2) The coding sequence of RcAGL61 was the same in the double-petaled line and single-petaled line, with a length of 495 bp, which had a similarity of 30.75% with RcAG. RcAGL61 encoded 164 amino acids, which contained a conserved MADS-box, belonging to the MADS-box family. (3) RcAGL61 was localized in the nucleus. (4) When silenced by VIGS technique in R. chinensis ‘Old Blush’, the petalized stamens and petal numbers were increased, while the stamen numbers were decreased. The number of sepals and pistils had no significant change. [Conclusion] RcAGL61 is involved in regulating the transition between stamens and petal primordiums, and affects the number of petals in R. chinensis.

[Objective] The objective of this study was to develop a precise calculation method for fuel-powered private car travel carbon emissions, utilizing big data from car owners and employing machine learning techniques. This method aims to address the limitations of existing macro-level studies and provide a scientific basis for accurately estimating road transport carbon emissions. It will also contribute to achieving peak carbon dioxide emissions and promoting carbon neutrality in China. [Methods] Based on multidimensional data disclosed by over 130000 fuel vehicle owners in China from 2014 to 2023, this article utilizes methods such as linear regression, decision trees, and neural networks to propose a calculation model and prediction model for the average cumulative travel carbon emissions of vehicle groups with the same number of days traveled as well as individual vehicles. Subsequently, a calculation model for annual average travel carbon emissions of vehicles is constructed. [Results] (1) In terms of predicting the cumulative travel carbon emissions of vehicles, compared to the vehicle cumulative travel carbon emission prediction model based solely on vehicle age, the prediction accuracy (R2) of the model with 25 variables in five categories (vehicle type, manufacturer, region, city level, price range) and vehicle age increased from 0.666 to 0.821. Age was found to have the highest impact on predicting cumulative travel carbon emissions for vehicles. (2) In terms of predicting the average cumulative carbon emissions from vehicles in a group with the same number of days traveled, the results based on neural network methods show that the prediction accuracy for the average cumulative travel carbon emissions at a national level reaches 0.915. The prediction accuracy for average cumulative travel carbon emissions for vehicles in five categories including vehicle type, manufacturer, region, city level, and price range ranges from 0.875 to 0.925. (3) In terms of calculating the average annual carbon emissions from vehicle travel, the national level has an average of 2.99 t. Vehicles in three categories—imported manufacturers, prices between (500, 1000] thousand CNY, and prices over 1000 thousand CNY—have higher average annual carbon emissions exceeding 4 t. Vehicles in six categories—MPV and SUV models, South China region, super large cities, price range between (200, 300] thousand CNY and price range between (300, 500] thousand CNY—have average annual carbon emissions ranging from 3.00 to 3.99 t. The remaining fifteen subcategories have lower average annual carbon emissions than the national level's average level and fall within the range of 2.15 to 2.99 t. [Conclusion] The large-scale vehicle owner data of multiple dimensions such as vehicle age, vehicle type, manufacturer, region, city level, and price range, along with the neural network model, contribute to improving the scientific and comprehensive measurement of carbon emissions from private car usage cycles. The calculation of road traffic carbon emissions in different regions should take into account the aforementioned differences in features. This study provides a reference for calculating carbon emissions from new energy private car travel.

Water sorption and its hysteresis are widespread phenomena that are important for food processing and food quality. In the present study, water sorption and desorption isotherms of wheat flour were measured at three temperatures using a dynamic vapor sorption (DVS) instrument, and modeled according to the Vrentas-Vrentas (VV) theory. Results showed that the degree of water sorption hysteresis decreased with an increase in temperature. In addition, overlapping between desorption and sorption isotherms was observed at high water activity. Based on this, an approach was proposed to determine the critical water content at which glass transition occurs. For both water sorption and desorption, the Flory-Huggins interaction parameter χ varied with the volume fraction of water, and a modified Fermi function was proposed using the Peleg model to describe this relationship. When desorption isotherms were modeled based on the sorption parameter χ, the VV model parameter k was expressed as a function of the volume fraction of water using a Fermi-type function.

Due to the influence of underground coal dust and easy obstruction, the laser point cloud data of hydraulic supports is prone to be incomplete. The existing point cloud segmentation algorithms are difficult to obtain fine-grained point cloud features, unable to obtain complete structural information of the point cloud. The algorithms are prone to introducing semantically dissimilar points in the neighborhood, resulting in low precision of laser point cloud segmentation for hydraulic supports. In order to solve the above problems, a laser point cloud segmentation algorithm for hydraulic supports based on neighborhood feature encoding and optimization is proposed. The method introduces a local neighborhood feature aggregation module consisting of neighborhood feature encoding module, neighborhood feature optimization module, and hybrid pooling module. The neighborhood feature encoding module adds polar coordinate encoding and centroid offset to represent the spatial structure of local point clouds on the basis of traditional 3D coordinate encoding, improving the feature extraction capability for incomplete point clouds. The neighborhood feature optimization module optimizes the feature expression in the neighborhood space by judging the feature distance and discarding redundant features, thereby more effectively learning the local fine-grained features of the point cloud and enhancing the local contextual information of the point cloud. The hybrid pooling module combines attention pooling and max pooling to obtain single point features with rich information by aggregating salient and important features within the neighborhood, reducing information loss. A neighborhood expansion module consisting of two sets of local neighborhood feature aggregation modules and residual connections is constructed to capture long-range dependencies between features, expand the local receptive field of individual points, and aggregate more effective features. The experimental results show that the algorithm has an mean intersection over union of 93.26% and an average accuracy of 96.42% on the laser point cloud segmentation dataset of hydraulic supports. It can effectively distinguish different geometric structures of hydraulic supports and achieve accurate segmentation of various components of hydraulic supports.

Objective To explore the research hotspots and trends in the field of quality of life of oral cancer patients, so as to provide a guiding basis for quality of life studies on oral cancer patients in China. Methods Using the literature related to the quality of life of oral cancer patients published in Web of Science from 2000 to 2022 as the data source. The CiteSpace software was used for visual analysis. Results A total of 860 relevant articles were included after removing the duplicates by Citespace, and the number of annual publications basically showed an upward trend. The main body of the researches was concentrated in universities and research institutes in the United States and the United Kingdom, and the institutions and countries have formed a certain scale of cooperative groups. Research hotspots are the factors influencing the quality of life of oral cancer patients, assessment tools for quality of life, interventions and management of influencing factors. Conclusion It is recommended that researchers learn from the advanced theories and models of foreign countries to further develop a quality of life assessment scale more suitable for oral cancer patients in China. In the future, the main focus should be on personalized treatment plans, rehabilitation training methods and management, supportive care needs, and body imagery changes so as to better improve the quality of life of oral cancer patients. (目的 使用文献计量法探讨国际口腔癌患者生活质量研究的热点及趋势, 为我国口腔癌患者生活质量研究提供指导依据。方法 以2000年—2022年Web of Science收录的口腔癌患者生活质量相关文献为数据来源, 运用CiteSpace软件进行可视化分析。结果 经CiteSpace去重后共纳入860篇相关文献, 年度发文量基本呈上升趋势; 研究主体集中在美国和英国的高校及研究所, 各机构和国家形成了一定规模的合作团体; 研究热点为口腔癌患者生活质量的影响因素、生活质量的评估工具、影响因素的干预和管理。结论 建议研究者学习借鉴国外先进理论及模式, 进一步研制更适合我国口腔癌患者的生活质量评估量表。未来应重点关注个性化治疗方案、康复训练方法及管理、支持性照护需求、身体意象改变, 以更好地提高口腔癌患者生活质量。)

Large-scale application of new energies is a major approach to achieving carbon peaking and carbon neutralization. Conducting research on the safety risk prevention and control strategy of new energy application helps in the establishment of a monitoring, risk prevention, and guarantee system for new energy application and promotes the high-quality development of related industries. Currently, new energy application in China involves various types of emerging infrastructures and faces challenges such as complex causes of safety accidents, incomplete understanding of safety risks, inadequate safety prevention and control technology systems, and lagging construction of a safety regulatory system. This study analyzes the current status and safety situation of new energy application in China and delves into the safety risk prevention and control issues faced by new energy application infrastructures such as charging/swapping stations, energy storage stations, hydrogen fuelling stations, and integrated energy stations. It also summarizes the current situation and experiences abroad regarding safety risk prevention and control. To establish a comprehensive system for preventing and controlling safety accidents before, during, and after they occur, and to enhance the safety risk management and regulatory capabilities of all stakeholders, this study constructs a strategic framework for safety risk prevention and control for new energy application. It clarifies the key tasks in terms of management and technology development and proposes medium- to long-term engineering and technological support projects. Furthermore, we propose development suggestions in terms of top-level design, governance standards, regulatory platforms, technological research and development, talent cultivation, and ecological co-construction, thus to promote the safety research and application of new energies.

Objective: This study aimed to explore the best irradiation method and irradiation dose to treat Choerospondias axillaris pastilles. Methods: C. axillaris pastilles were irradiated with 0～10 kGy gradient dose of 60Co-γ ray and electron beam respectively, the changes of the indexes including microbial load, protein, fat, total sugar, L(+)-ascorbic acid, organic acids, pH value, sensory quality, and the shelf life quality stored in 0～360 days at room temperature were studied. Results: 60Co-γ ray and electron beam irradiation both had bactericidal effects on C. axillaris pastilles, all microbial limit indexes including aerobic bacterial count, coliform bacteria, mold, and the pathogenic bacteria limit indexes including salmonella and staphylococcus aureus were not detected in the samples with the irradiation dose of 4 kGy. The contents of protein, fat, total sugar, organic acids (mainly citric acid), pH, and sensory quality in C. axillaris pastilles were not significantly affected by 60Co-γ ray and electron beam irradiation of less than 10 kGy. However, the content of L(+)-ascorbic acid was significantly decreased compared with the control group after irradiation (P＜0.05), it was negatively correlated with irradiation dose, and 60Co-γ ray irradiation had a greater impact than that of electron beam irradiation. The C. axillaris pastilles batch products were irradiated with 60Co-γ ray and electron beam of 4～10 kGy, the products were stored for 0～360 days at room temperature, and the microbial limit indexes including aerobic bacterial count, coliform bacteria, mold in the products were less than 10 CFU/g. There were no significant changes in the smell, taste, and tissue state of C. axillaris pastilles, but with the extension of storage time, its color deepened due to browning, but it was still acceptable within 270 days of storage. Conclusion: 60Co-γ ray and electron beam irradiation both are effective methods for sterilization and storage of C. axillaris pastilles, and the recommended irradiation dose is 4～10 kGy.

Variable camber wing is one of the key research directions of advanced aircraft in the future. The inhe-rent contradiction between the rigidity of wing structure and the bending deformation ability is the difficulty in the design of variable camber wing structure. In this paper, a new structure and function integrated variable camber wing structure is designed. Based on the inductive motion mechanism of mimosa in nature, on the one hand, a double-layer array M-type elastic connector is arranged in the elastic deformation zone of the variable camber ribs to meet the requirements of structural stiffness and flexible deformation. On the other hand, the aerodynamic muscle is embedded in the ribs to meet the airfoil deformation drive while maintaining the overall airfoil structural stiffness. Through simulation analysis and experimental test of the prototype, the results show that the variable camber wing design can meet the camber change effect of 13.5° upward and 9.5° downward, thus verifying the feasibility of the variable camber wing structure design.

Background Promoting hierarchical treatment is the key to solve the irrational utilization of pediatric medical resources, but there is a lack of relevant studies on the current status of implementation of hierarchical diagnosis and treatment for children. Objective To describe the healthcare-seeking behavior of children with upper respiratory tract infection, including number of visits and health-seeking institutions and explore the main influencing factors of first visit of priamry care (community health services) . Methods Two questionnaires were administered to the parents of children attending the pediatric outpatient department of the Third Affiliated Hospital of Sun Yat-sen University and the Community Health Service Center in Shipai Street, Tianhe District in the same administrative district from March to July in 2019 and from February to July in 2022 using convenience sampling method, respectively. The included subjects were divided into the 2019 group (n=419) and 2022 group (n=307) according to the survey time. The questionnaire on the healthcare-seeking behavior and its influencing factors of children with upper respiratory tract infection using Anderson model as a theoretical guide was involved, univariate and multivariate Logistic regression analyses were used to explore the influencing factors of the first visit of children with upper respiratory tract infection in primary care. Results Among the 419 participated children in 2019, 301 (71.84%) visited for the first time, 87 (20.76%) for the second time and 31 (7.40%) for the third time and fourth time, with 47.49%, 27.12% and 16.13% visited the conmmunity health services centers, respectively. Among the 307 participated children in 2022, 219 (71.34%) visited for the first time, 72 (23.45%) for the second time and 16 (5.21%) for the third time or fourth time, with 41.04%, 39.77% and 43.75% visited the conmmunity health services centers, respectively. The results of multivariate Logistic regression analysis showed that the nearest medical institution was not a community health service center〔OR=0.220, 95%CI (0.147, 1.056), P

Background Low shearing force can induce vascular inflammatory response, which leads to the occurrence and development of hypertension. Estrogen can regulate the immune system and inflammatory response through estrogen receptor mediated pathway, with a protective effect on hypertension. Cardiovascular diseases have become the leading cause of death in China. Objective To investigate the current prevalence and influencing factors of hypertension in women, explore the correlation of shearing force and estradiol with hypertension as well as the effect of estradiol on hypertension under various shearing force, so as to further explore the effect of the interaction between estradiol and shearing force on hypertension. Methods Female patients admitted to the Department of Cardiology of Hunan People's Hospital from January to August 2021 were selected as the study subjects, 288 of whom with essential hypertension were included as the case group, and 296 female non-hypertensive medical examiners in the physical examination department of Hunan People's Hospital were randomly selected as the control group. The self-designed questionnaire was used to investigate the general information of the study subjects, and the fasting venous blood samples of the subjects were taken in the early morning for the examination of laboratory indicators. The color doppler ultrasound was used for ultrasonography on vessels to calculate the shearing force. Multivariate Logistic regression was used to construct the hypertension prediction model and draw the nomogram. Receiver operating characteristic curve (ROC curve) was plotted to evaluate the hypertension prediction model. Stratification analysis was conducted on estradiol in four groups to explore the effect of each estradiol group on the occurrence of hypertension under different shearing force dichotomous groups. The multiplicative interaction model was used to evaluate the interaction between estradiol and shearing force. Results There were significant differences in age, education level, body mass index (BMI), menopause, family history of hypertension, triglyceride (TG), total cholesterol (TC), low density lipoprotein cholesterol (LDL-C), high density lipoprotein cholesterol (HDL-C), estradiol, uric acid (UA), creatinine (Scr), urea nitrogen (BUN), shear force, and blood viscosity between the case group and control group (P60 years old〔OR=2.172, 95%CI (1.361, 3.468) 〕, menopause〔OR=14.940, 95%CI (1.938, 115.176) 〕, family history of hypertension〔OR=1.614, 95%CI (1.014, 2.570) 〕, BMI of 24-28 kg/m2〔OR=3.454, 95%CI (2.072, 5.758) 〕, BMI>28 kg/m2〔OR=6.750, 95%CI (2.380, 19.146) 〕, TG of 1.30-1.83 mmol/L〔OR=1.980, 95%CI (1.114, 3.520) 〕, TG>1.83 mmol/L〔OR=2.311, 95%CI (1.308, 4.082) 〕, TC of 4.29-5.12 mmol/L〔OR=2.222, 95%CI (1.250, 3.950) 〕, TC>5.12 mmol/L〔OR=1.884, 95%CI (1.062, 3.341) 〕, LDL-C>2.81 mmol/L〔OR=1.546, 95%CI (1.150, 2.078) 〕, HDL-C>1.17 mmol/L〔OR=0.140, 95%CI (0.065, 0.301) 〕, BUN>5.47 mmol/L〔OR=3.249, 95%CI (2.380, 4.434) 〕, Scr>69 μmol/L〔OR=1.166, 95%CI (1.126, 1.207) 〕, UA>324 μmol/L〔OR=1.040, 95%CI (1.029, 1.050) 〕, WBV4.41 mPa·s〔OR=3.456, 95%CI (2.557, 4.671) 〕, estradiol of 10.60-23.99 ng/L〔OR=0.005, 95%CI (0.001, 0.020) 〕, shearing force >8.21 dyne/cm2〔OR=0.033, 95%CI (0.017, 0.062) 〕were influncing factors for hypertension (P8.21 dyne/cm2 group, estradiol≥15.39 ng/L was significantly associated with reduced risk of hypertension〔OR=0.012, 95%CI (0.005, 0.019), P

Taking 307 working face of Tingnan Coal Mine as the engineering background, in order to verify the reliability of real-time monitoring of water flowing fractured zone height by micro-seismic monitoring data, the mechanical numerical simulation software is used. In order to analyze the relationship between micro-seismic events and roof water inflow, the mathematical statistics method is used to establish the correlation between them. The results show that the micro-seismic events in 307 working face are concentrated in the areas with serious overburden damage under different driving distances, which can reflect the overburden damage and the development height of the water conducting fracture zone; the numerical simulation results of working face mining are basically consistent with the change rules of micro-seismic monitoring events. The highly developed water conducting fracture zone is characterized by “rapid growth in the early stage, slow growth in the middle stage, and balance in the later stage”. The number of micro-seismic monitoring data events in 307 working face has a significant correlation with the water inflow in the same time period. The occurrence of water inflow events and micro-seismic events has a specific lag effect, and the accuracy of water inflow prediction can be better improved by using appropriate lag micro-seismic data for prediction.

Background Stroke is one of the major public health problems affecting human health in current. Longitudinal check up data has accumulated a large amount of health information. However, the utilization rate of the longitudinal check up data is low and important information has not been fully extracted due to many problems such as missing data and small sample size, which brings difficulties to the effective prevention and control of common chronic diseases. Objective To explore the risk factors of stroke in check-up population based on Bayesian multivariate joint model, so as to provide a new approach for the analysis of risk factors for chronic diseases. Methods In this study, the data were collected from the Center for Health and Medicine, Xijing Hospital, Air Force Military Medical University from 2008 to 2015. Follow-up status: the follow up was conducted with the first occurrence of stroke as the outcome event and stopped at the occurrence of outcome event or ended when the collection of medical examination information was completed by 2015 if the outcome event did not occur. The interval between physical examinations was 1 year. The participants were divided into the stroke group and the non-stroke group according to whether stroke occurred during follow-up. Longitudinal variables observed in this study included total cholesterol (TC) , triglyceride (TG) , low density lipoprotein cholesterol (LDL-C) , high density lipoprotein cholesterol (HDL-C) , body mass index (BMI) and systolic blood pressure (SBP) . Multivariate Cox regression model was used to analyze the influence of baseline conditions on stroke outcome events. Bayesian multivariate joint model was used for analyzing the effect of longitudinal trajectory of TC, TG, LDL-C, HDL-C, BMI and SBP on the incidence of stroke during follow-up. Results A total of 234 subjects with 1 581 longitudinal follow-up records were included in this study, with the mean follow-up time of (7.4±1.2) years, of which 70 cases (29.9%) developed stroke during the follow-up. The results of multivariate Cox proportional hazards model showed that there was no effect of baseline values including TC, TG, LDL-C, HDL-C, BMI and SBP on the incidence of stroke (P>0.05) . The results of Bayesian multivariate joint model showed that the risk of stroke was 1.863 times higher for per longitudinal increase of 1 mmol/L TG level 〔95%CI (1.018, 3.294) , P=0.042〕 and 1.347 times higher for per longitudinal increase of 1 mmol/L LDL-C level〔95%CI (1.045, 1.863) , P=0.046〕. Conclusion The longitudinal increase of TG and LDL-C levels over time is a risk factor for stroke in check-up population. Bayesian multivariate joint model can be used to explore the risk factors of chronic diseases in check-up population.

Objective To systematically evaluate the clinical efficacy of acupuncture in the treatment of type 2 diabetes mellitus. Methods The related literatures of 12 databases at home and abroad were searched for the period from the establishment of the database to March 2022. RevMan 5.3 software was used for Meta-analysis. Results A total of 14 randomized controlled trials were included, including 1 344 patients. The results of Meta-analysis showed that acupuncture plus western medicine was superior to western medicine in improving fasting blood glucose［MD=-1.26, 95%CI（-1.50，-1.03）, Z=10.57, P＜0.01］, 2-hour postprandial blood glucose［MD=-1.65, 95%CI（-1.88，-1.42）,Z=14.25, P＜0.01］, glycosylated hemoglobin［MD=-0.97，95%CI（-1.25，-0.69）, Z=6.76, P＜0.01］ and insulin resistance index［MD=-1.35, 95%CI（-1.54，-1.15）, Z=13.23, P＜0.01］. GRADE evidence quality evaluation results showed that 2-hour postprandial blood glucose was high quality evidence, while fasting blood glucose, glycosylated hemoglobin and insulin resistance index were medium quality evidence. Conclusion The current evidence shows that the efficacy of acupuncture plus western medicine in the treatment of type 2 diabetes mellitus is better than that of western medicine. Acupuncture has a better effect on type 2 diabetes mellitus.

Background Sleep duration is strongly associated with hypertension, but its effect on H-type hypertension in female population is not well characterized. Objective The examine the effect of sleep duration on the prevalence of H-type hypertension in female population. Methods A cross-sectional study design was used. One thousand seven hundred and nine female hypertensive inpatients were selected from Department of General Medicine and Geriatric Department of Hunan Provincial People's Hospital from July 2018 to December 2020, among whom those who with serum Hcy≥10 μmol/L and the others were assigned into H-type hypertension and non-H-type hypertension groups, respectively. Binary Logistic regression was used to assess the correlation of between sleep duration and H-type hypertension across three groups with different self-reported mean daily sleep durations in the past month (8 h) , and to further assess the correlation between the two across by age (≤60 and >60) . Results The distribution of age, education level and marital status differed across three groups with different daily sleep durations (P8 h. The distribution of age, education level, living area (urban or rural) , marital status, BMI, exercise status, and daily sleep duration, as well as prevalence of drinking between H-type hypertension group〔973 (56.93%) 〕 and non-H-type hypertension group〔736 (43.07%) 〕 (P

Objective: To develop selenium-enriched （Se-enriched） Moringa oleifera seed protein resources. Methods: Using Se-enriched Moringa oleifera seed protein powder as raw material, the enzymatic hydrolysis conditions of Se-enriched Moringa oleifera seed protein antihypertensive peptides from Se-enriched Moringa oleifera seed protein were obtained by single factor and response surface optimization, and the ACE inhibitory activity, Se content and stability of the optimal enzymatic hydrolysate were analyzed. Results: The optimal enzymatic hydrolysis conditions of Se-enriched Moringa oleifera were as follows: enzymatic hydrolysis time 3 h, temperature 34 ℃, pH 8, concentration of substrate 7%, enzyme to substrate ratio 0.3%. Under these conditions, the semi-inhibitory concentration of ACE of the peptides was 1.956 mg/mL. The Se content of the antihypertensive peptide was 1.394 mg/kg, which was 1.1 times that of the raw protein. Moreover, the antihypertensive peptides （5 mg/mL） had good thermal stability and acid-base stability, and could still maintain good ACE inhibitory activity after digestion by gastrointestinal enzyme system in vitro. Conclusion: The Se-enriched Moringa oleifera seed protein antihypertensive peptides obtained by response surface optimization showed strong ACE inhibitory activity and good stability.

In order to improve the rotating bending fatigue life of PH13 - 8Mo stainless steel, the surface morphology, surface roughness and fatigue life of samples without shot peening, single shot peening and composite shot peening were tested respectively in the H510, H540 and H550 heat - treated states. Results showed that in the comparison with single shot peening, the fatigue enhancing effect of the specimens treated with composite shot peening in H540 and H550 states was significantly better than that of the specimens in H510 state. Under the condition that σmax=800 MPa and R=-1, the Kt=1 fatigue life of specimens in H510, H540 and H550 states was increased by 0.3, 1.4 and 1.4 times respectively. Compared with single shot peening, the enhancing effect of Kt=2 composite shot peening had better than that of Kt=1. Under the condition that σmax=550 MPa and R=-1, the Kt=2 rotating bending fatigue life was increased by 5.5 times. Shot peening could improve the fatigue life of PH13 - 8Mo steel. The Kt=1 rotating bending fatigue life of the specimens treated with shot peening was at least 1 order of magnitude higher than that of the non - shot peening specimens. Besides, the surface roughness, surface morphology, residual stress field and fatigue life of composite shot peening specimens were all better than that of the specimens treated with single shot peening.

Q235 steel is widely used in the infrastructure industry due to its high performance and low price, but it is prone to corrode in both terrestrial atmospheric environment and high salt fog environment at the seaside. In the marine field, inorganic zinc - rich coatings are the most commonly used anticorrosive conductive coatings, and the modification research on such coatings is promising. In this paper, the coatings were added with 2% graphene + 2% calcium carbonate for the purpose of improving corrosion resistance. Subsequently, the corrosion behaviors of the as - prepared coatings were investigated through simulated seawater immersion experiments and simulated sea salt aerosol experiments with the help of electrochemical impedance (EIS), scanning electron microscopy (SEM) and X - ray diffraction (XRD) analysis. Results showed that in the comparison of the original formula coating, the coating added with 2% graphene and 2% calcium carbonate possessed higher impedance value and lower corrosion current density. In addition, the generated corrosion products prevented the intrusion of corrosive medium and slowed down the corrosion. In general, the inorganic zinc - rich coating added with 2% graphene + 2% calcium carbonate had better corrosion resistance compared with the original formula coating.

Owing to the poor corrosion resistance of magnesium alloys, applying proper surface modification treatment to improve their corrosion resistance has become a hot point of current research. In this work, Al powders were pre - placed on the surface of AZ91D magnesium alloy and further treated by laser alloying. The microstructures of the alloyed layer and the substrate were compared and analyzed, and the corrosion resistances of the magnesium alloy and the alloyed layer were tested. Results showed that the gray - white matrix in the laser alloyed area was composed of a small part of α - Mg and a large amount of β - Mg17Al12, the dark black dotted structure was α - Mg+β - Mg17Al12, and the coniferous structure was α - Mg. In all, the laser alloying process refined the α - Mg grains in the alloyed area, reduced the segregation degree of aluminum element, and significantly increased the content of β - Mg17Al12, and therefore greatly improved the corrosion resistance of the magnesium alloy surface.

Marine creatures have an abundance of polysaccharides, active proteins, active peptides, and amino acids. With advancements in separation extraction and structure-activity relationship analysis technology, marine animal polysaccharides, as important components of marine animal active ingredients, are shown to exhibit a variety of biological activities such as immune regulation, hypoglycemic activities, antioxidant effects, lipid-lowering processes, and anticancer properties. This article examines the different types, biological activities, and applications of polysaccharides in biomedicine, aquaculture, food, cosmetics, and proposes potential research directions for pursuit by providing theoretical reference to promote the high-value and ecological development and utilization of marine animals. [ABSTRACT FROM AUTHOR]

Based on the discrete element development environment YADE under Linux environment, this paper develops a three-dimensional simulation system for continuous feeding and coal caving in fully mechanized caving face. The system which sets the coal caving parameters based on the real geological environment of the coal mine can effectively simulate the swing of the tail beam, the pushing action of the hydraulic support, and the mixed dynamic change process of the coal and gangue on the top of the tail beam during the coal caving process. On this basis, the comparison experiments of single-wheel coal caving and double round coal caving were carried out. The experimental results show that the three-dimensional model of feeding and coal caving can truly simulate the top coal caving process. It also provides a new method for studying the top coal caving law of fully mechanized caving mining from three-dimensional perspective; under the condition of continuous feeding and coal caving in fully mechanized caving face, the effect of double-wheel sublevel interval caving is the best, the average top coal recovery rate is 86.64% and the gangue rate of 4.06%.

Schwann cells (SCs) have a strong plasticity. After peripheral nerve injury, Schwann cells dedifferentiate into repair phenotype and dominate the repair process. C-Jun N-terminal kinase, mitogen activated protein kinase(MAPK) and other signaling pathways and transcriptional regulators are involved in regulating Schwann cell-mediated repair process. This review discusses the main signaling pathways and transcriptional regulators of Schwann cell promoting peripheral nerve regeneration.

Objective: This study aimed to reveal the composition differences and antioxidant activities of kernel and peel from raw and fried semen from Ziziphi spinosae. Methods: Using 1, 1-diphenyl-2-picrylhydrazyl (DPPH) radical, hydroxyl radical (·OH), superoxide anion radical (O-2·), 2,2'-amino-di (3-ethyl-benzothiazoline-6-sulphonic acid) ammonium salt (ABTS) free radical scavenging ability and ferric reducing antioxidant power (FRAP) to determine the antioxidant activity of peel, kernel and jujube benevolence from different semen. Moreover, the components of peel, kernel and jujube benevolence were also studied by UV spectrophotometer. Results: The results showed that the peel, kernel, and jujube benevolence of all the semen had certain antioxidant effects, and the order of their antioxidant capacity was peel＞ jujube benevolence＞ kernel. The composition study showed that the contents of total flavonoids, total saponins and total phenolic acids in the semen peel were higher than those in jujube benevolence and kernel, and there was no significant difference in the content of total polysaccharides among samples. Therefore, the pharmacodynamic material basis of antioxidant activity in the peel was verified to be flavonoids, saponins and phenolic acids. However, there was no significant difference in antioxidant activity, total saponins, total flavonoids, total phenolic acids and total polysaccharides between the raw and fried semen. Conclusion: The peel, kernel and jujube benevolence of raw and fried Ziziphi spinosae semen all have antioxidant activity, and this provides a theoretical basis for the further development and market application of Z. spinosae semen.

Ergonomic testing is an important part of the performance evaluation of protective clothing. To evaluate the commonly used disposable medical protective clothing with/'without foot coverings in the market, 30 volunteers were recruited as subjects to wear both types of protective clothing for subjective and objective evaluations, including range of motion, flexibility, and subjective evaluations of joint movements. The results showed that both types of protective clothing restricted the flexion-extension and adduction-abduction range of the ankle joint, increased the internal-external rotation angle of the ankle joint, and significantly increased the abduction angle of the knee joint. Wearing disposable protective clothing with foot coverings limited the freedom of limb movement, while wearing clothing without foot coverings significantly affected trunk movements such as flexion and extension. [ABSTRACT FROM AUTHOR]

Based on the daily average temperature, daily maximum temperature and daily minimum temperature from the 18 global climate models that participated in the phase 6 of the Coupled Model Intercomparison Project (CMIP6) and their precedent phase project (CMIP5), and the 84 observational stations during 1986-2005, the capabilities of CMIP6 on simulating the temperature over Guizhou by Portrait and Taylor chat were evaluated. The best simulation results were selected to project the characteristics of temperature in Guizhou under three scenarios (SSP1-2.6, SSP2-4.5 and SSP5-8.5) from 2023 to 2100. The results showed that the CMIP6-MME (multi-model ensemble) generally had better performance in simulating the indices including the numbers of forest days (FD), the length of the growing season (GSL), the numbers of summer days (SU), the lowest value of the minimum temperature (TNN) and the mean temperature (Tav), respectively during 1986-2005. Compared to the reference period (1995-2014), FD decreased significantly, but GSL, SU, TNN and Tav increased obviously from 2023 to 2100 under three scenarios. Furthermore, it was indicated that FD (GSL, SU, TNN and Tav) were less (more) than that in 1995-2014 during the 21st century under three scenarios over Guizhou, and the decrease (increase) was proportional to the emission scenario, with the amplitude of FD (GSL) reducing (growing) from south to north, SU rising from northeast to southwest, TNN/Tav going up from southwest to northeast. [ABSTRACT FROM AUTHOR]

As a possible countermeasure to the lack in algorithms for solving maximum regularization satisfiability problems as well as inadequate accuracy of intelligent optimization algorithms for solving maximum satisfiability problems, a discrete chaotic quantum based bat algorithm based on the bat algorithm (BA) was proposed herein. This algorithm was discretized by conversion of continuous values to discrete binary codes. By applying quantum theory, introducing quantum bit encoding and heuristic quantum mutation, the mutation is achieved by changing the probability amplitude of non optimal individuals through quantum rotation gates, solving the problems of precocity and slow convergence speed. In position update, chaotic mapping is used to replace fixed parameters, which enhances flexibility and diversity, and improves global optimization ability and solving efficiency. The experimental results show that the proposed algorithm has much higher accuracy than traditional heuristic algorithms in generating different scale examples in the stochastic regularization satisfiability problem instance generation model. At the same time, compared with the award-winning solver, it also has a certain level of competitiveness, verifying the effectiveness of the algorithm. [ABSTRACT FROM AUTHOR]

Pesticide application using UAV sprayer has become a new highlight in the development of agricultural machinery and plant protection in China. Spray droplets from UAV could reach the crop canopy and deposit on the control target surface under the assistance of rotor's downwash airflow after atomization, including a secondary atomization effect of airflow on the droplets, so the spray performance of aerial pesticide application is inseparable from the effect of the rotor's downwash airflow field. In order to explore the effect of downwash airflow field on UAV's spray deposition characteristics, taking the main model of eight-rotor UAV with "X-type" as the research object and designing the actual measuring test, a multi-channel micro-meteorology measurement system(MMMS) was used to determine the downwash airflow speed at different horizontal positions, and meanwhile the tracer Allura Red solution was applied instead of chemicals to obtain the distribution characteristics of spray deposition. The visual analysis of the measured results of the downwash airflow field distribution was focused, and then the distribution characteristics of both the downwash airflow field and the droplet deposition at a certain flight height and speed, and the correlation relationship between them were analyzed. During the flight operation of the 8-rotor UAV, as the flight speed increased from 1.0 to 6.0 m/s and the flight height increased from 1 to 2 m, the intensity of the downwash airflow field in directions of X, Y, and Z generally changed from strong to weak, and the distribution state changed from concentration to dispersion; the X direction airflow was the vortex generated by the interaction between the downwash airflow and the outside air and its effect on droplets was reversed flight direction; the airflow in Y direction was to the both sides from flight path, caused by the combination of downwash airflow and ground effect; the airflow in Z direction, the vertical downward component of the downwash airflow, had a direct promotion effect on spray deposition. Significant negative correlations were shown between both the flying speed and the peak value in the range of the downwash airflow field (P 0), that was, the stronger the downwash airflow field in the vertical ground direction, the more droplets deposited in the effective spray swath. When the flight speed increased to 6.0 m/s, the wind speed was significantly reduced, and the promotion effect of the downwash airflow field on the droplet deposition disappeared(P> 0.05). The operation speed of UAV should not be set faster than 6.0 m/s to avoid the chemicals loss caused by the weakened effect of the downwash airflow field. The findings of this study are expected to provide theoretical basis and data support for improving the quality of low-altitude and low-volume application operations and the formulation of UAV field operations specifications.

Objectives In this paper, in order to record and analyze the buckling failure path of stiffened panels during the loading process, a method for measuring the three-dimensional deformation field stiffened panel was established.Methods By means of the numerical simulations through finite element analysis software ABAQUS, several different sizes of stiffened panels was determined, and the loading tests were carried out. The full-field displacement and strain information were measured by 3D digital image correlation (3D-DIC) measurement system, which obtained buckling failure process of stiffened panels.Results The results show that the buckling bulges appear in each bay of the stiffened panel in the initial compression stage, and the number of buckling bulges gradually increases as the load increases. In the post-buckling stage, the loading capacity of the stiffened panel decreases but the out-of-plane displacement continues to increase, and the buckling waves gradually develop into the final displacement distributions. The collapse modes of the stiffened panel are the overall buckling of the plating and the tripping of the stiffeners.Conclusions The 3D-DIC measurement system is adopted to measure the whole displacement and strain fields of the specimens in the test and obtain the buckling failure path, which provides reliable information for the study into the theory and numerical calculation methods of the stability of stiffened panels.

Objective To investigate the effect of miR-205-5p on the proliferation, migration and invasion of gastric cancer cells by targeting at RAS oncogene family (RAP2B). Methods RT-qPCR and Western blot were used to detect the expression of miR-205-5p and RAP2B in gastric cancer cell lines AGS, MGC803, MKN-28, SGC-7901 and normal gastric mucosal cell line GES-1. Over expressing miR-205-5p, inhibition of RAP2B, cell viability was detected by MTT assay; cell migration and invasion ability were detected by Transwell method; The expression of RAP2B, cyclin D1, MMP-2, MMP-9 GSK-3β and β-catenin proteins were detected by Western blot. The dual luciferase reporter gene assay was used to verify the targeting of miR-205-5p to RAP2B. Results Compared with normal gastric mucosal cells, the expression of miR-205-5p was significantly decreased in four gastric cancer cell lines, and the expression of RAP2B was significantly increased (P＜0.05). The over-expression of miR-205-5p or inhibition of RAP2B inhibited the proliferation, migration and invasion of AGS cells and inhibited the expression of cyclin D1, MMP-2 and MMP-9 proteins (P＜0.05). miR-205-5pnegatively regulated the expression of RAP2B. Conclusions miR-205-5p inhibits the proliferation, migration and invasion of gastric cancer cells in vitro by targeting at RAP2B.

Objective To select and develop a SNP-STR multiplex amplification system with genetic markers compatible with current STR databases. To understand its genetic polymorphisms in Sichuan Han population and its application value in DNA mixture analysis. Methods Based on the STR genetic markers in commercial kits, SNPs adjacent to these STR markers were selected to be SNP-STR genetic markers. A SNP-STR multiplex amplification system with genetic markers based on allele-specific amplification was constructed using allele-specific amplification primers. The genetic polymorphism of the system in the Sichuan Han population was investigated and the efficiency of systems with different numbers of loci to detect the two individual DNA mixture samples was evaluated. Results An allele-specific multiplex amplification system constituted of 13 SNP-STR genetic markers was selected and constructed. In Sichuan Han population, the heterozygosity of each locus ranged from 0.76 to 0.88, and the combined discrimination power reached 0.999 999 999 999 999 968. In the analysis of the two individual DNA mixture samples： for single-locus amplification, the genotype of the minor components can still be detected when the mixture ratio reaches 1 000∶1; for multiple loci multiplex amplification, the maximum mixture ratio can reach 500∶1. As the number of loci in the system increased, the detection efficiency of the minor components in the DNA mixture decreased. Conclusion SNP-STR genetic markers have a higher polymorphism than STR. The multiplex amplification system made of SNP-STR genetic markers has a better analysis efficiency for mixed samples than traditional STR multiplex amplification system.

The number of death from insulin overdose, including accidental poisoning, suicide and homicide, is increasing these years. The forensic diagnosis of death from insulin overdose is a tough task. Glucose is the main energy source of the brain. Therefore, hypoglycemic brain damage is considered to be the main reason of death from insulin overdose. Recently, research of hypoglycemic brain damage caused by insulin overdose is gradually being paid attention in the field of forensic medicine. This paper summarizes the neuropathologic changes, pathophysiologic process and potential neural molecular markers of hypoglycemic brain damage caused by insulin overdose in terms of forensic neuropathology, providing reference for the research and practice in forensic medicine related fields.

The split process of random forest decision tree is affected by the unbalance and variability of data set, which will lead to the bias of weight allocation and prediction results. For railway in mountainous area, the influencing factors of flood risk are numerous, and the differences between data are large. How to improve the influence of data imbalance and variability is directly related to the ranking of the importance of each factor and the accuracy of evaluation results. In this regard, nine risk indicators from disaster causing factors and disaster pregnant environment were selected based on the theory of watershed disaster system to construct the flood risk assessment data set for railway in mountainous area. On this basis, the improved random forest algorithm based on Gini split function and Sigmoid split function were respectively used for model training and comparative analysis. The optimal model was used to forecast the flood risk along the Yuanping section of Shuohuang Railway, and the results of field investigation were used to verify the forecast results. The results show topographic factors (elevation, slope and aspect) are closely related to flood risk. As the internal cause of flood risk, disaster environment plays a decisive role in the flood risk assessment of railway in mountainous area. The improved random forest algorithm based on Sigmoid split function can improve the information purity, reduce the data variation and improve the accuracy during the split process, and the prediction results are in good agreement with the field situation. The research results can provide a reference for the risk assessment of railway in mountainous area under rainstorm and flood situation. [ABSTRACT FROM AUTHOR]

In order to study the effects of relaxation characteristics of asphalt binders on its low-temperature performance, beam bending relaxation test was conducted through dynamic thermomechanical analyzer (DMA) at low temperatures. The relaxation characteristics of four asphalt binders were further evaluated by relaxation rate and relaxation time. In addition, the low temperature performance of asphalt binders was evaluated by bending beam rheometer (BBR) and single notch beam bending (SENB) tests. The correlation between the relaxation characteristics of asphalt binders and their low-temperature cracking resistance was evaluated based on Person's correlation coefficient and Spearman rank correlation coefficient. The results showed that the lower the temperature is, the worse was the relaxation performance of asphalt binders. Meanwhile, there was an excellent correlation between the relaxation rates and the low temperature property indexes. However, the relaxation time presented a poor correlation with low-temperature performance indexes. The maximum displacement of asphalt binders during fracture process and λ at the corresponding temperature showed a desired correlation with the relaxation performance indexes. Therefore, the relaxation characteristic indexes can be further utilized to investigate the low-temperature performance of asphalt binders. [ABSTRACT FROM AUTHOR]

To improve the problems of liquid splashing, plasma quenching, and poor stability encountered in the detection of liquid samples using laser induced breakdown spectroscopy (LIBS), combined with electrochemical enrichment methods, LIBS detection of uranium(U) in water was carried out using KC1 as the electrolyte and graphite rod as the cathode. U II 367.007 nm and U II 409.013 nm were selected as the analysis objects for quantitative analysis, focusing on the influence of enrichment voltage, KC1 mass concentration, laser pulse energy, excitation method, etc. on the characteristic spectral line intensity of uranium elements. The spatial distribution of adsorbed elements on the surface of graphite rods was analyzed using scanning electron microscopy(SEM) and energy dispersive spectroscopy(EDS). The results showed that the optimal enrichment voltage was 1.6 V, and an appropriate concentration of electrolyte KC1 improved the enrichment efficiency and uniformity of uranium elements. Increasing laser pulse energy and using photoelectric dual pulse excitation enhanced the intensity of uranium element characteristic spectral lines and improved the signal-to-noise ratio. Under the excitation of photoelectric dual pulses, quantitative analysis of uranium element in water was carried out, and the detection limits of U II 367.007 nm and U II 409.013 nm were obtained to be 25.89 and 15.00 µg/L, respectively with correlation coefficients greater than 0.98. This research method and results can provide technical support for the investigation of radioactive nuclide content in water bodies, the current situation of uranium pollution in drinking water, and the monitoring of uranium containing wastewater in the nuclear industry. [ABSTRACT FROM AUTHOR]

Shearing is the basic factor involved in gravity thickening of paste. This work focuses on the influence of pores and throats characteristics on water drainage channel evolution, and determines the proportion of discharged water in tailings thickener bed. Pilot-scale experiment combined with computed tomography (CT) and pore network model (PNM) technology to determine the micropore structure. The maximum ball algorithm is used to analyze the evolution of pores and throats with and without shearing. The results show that the tailings underflow concentration increases from 55.8% to 58.5% under 2 r·min-1 rake shearing and the porosity decreases from 43.05% to 36.59%, the decrease rate of porosity is 15%. The pore structure can be divided into two types, i.e., "balls" and "sticks, " by the PNM technology. The quantity of "balls" and "sticks" increases by 16.5% and 22%, respectively. However, the average radius of balls decreases slightly in the range of 40-60 μm under shearing. The average radius of sticks decreases from 9.83 μm to 8.58 μm, i.e., by 12.7%. Nevertheless, the length of sticks exhibits only a slight change. The coordination number of balls increases significantly from 25.73% to 44.58% in the range of 5-10 under shearing, and the particles are in close contact. The concept of "the volume ratio of pores to balls" is proposed for the quantitative characterization of the pore structure. The volume fraction of balls decreases from 14.14% to 12.75%, the decrease rate of volume fraction is 9.83%, and volume fraction of sticks decreases from 28.91% to 23.84%, the decrease rate of volume fraction is 17.54%. The volume ratio of balls to sticks increases from 48.91% to 53.48%, and increase rate of it is 9.34%. When the volume decrease of balls is more than that of sticks, the volume ratio of balls to sticks increases. This work reveals the shearing drainage mechanism of unclassified tailings gravity thickening from the perspective of pore structure change, i.e., the drainage is mainly discharged from the throat more than the pore from the tailings thickener bed shear dewatering process.

In view of shortcomings of existing coal mine wireless data transmission technologies, such as significant multipath effect, short transmission distance, poor noise resistance and low sensitivity, and demand for large-scale equipment information interconnection in coal industry, a wireless data transmission node for informatization upgrade of coal mine equipment was designed. The node establishes a reliable wireless data channel between devices through LoRa-CSS technology, uses PSoC, a programmable system-on-chip based on IP core structure, to flexibly adapt data interfaces of various coal mine equipments, and uses unified normalized data format for command and data information interaction. The electromagnetic isolation characteristic test results show that the node has strong isolation characteristic and is not affected by impact voltage, and can effectively reduce short-time high-intensity surge signal to the value below device tolerance. The actual application results show that the data communication between each node and the host computer and the coal mine equipments is ideal, and the node can effectively construct a stable data transmission channel from the central station to the equipment.

Objective To analyse and detect CSF1PO and D18S51 loci by next generation sequencing （NGS） technology for the study on their sequence polymorphism. Methods The peripheral blood samples were collected from 165 unrelated individuals of Chinese Han population. DNA samples were obtained by QIAamp DNA Mini kit. The library was constructed by Ion Plus Fragment Library. DNA sequencing analysis was performed on Ion Torrent PGMTM Platform. The newfound alleles were verified by Sanger sequencing. Data were analysed by Torrent SuiteTM v5.0.2 and Integrative Genomics Viewer for the genotype identification and frequency count. The data were analysed statistically by PowerState v12. Results The length and sequence polymorphisms of CSF1PO and D18S51 loci were simultaneously obtained by NGS technology. A new genotype was found on CSF1PO locus, and two new genotypes on D18S51 locus. Sanger sequencing was used to verify the newfound alleles found by NGS technology, and the results of verification showed consistency. Conclusion The structure of core repeats on CSF1PO and D18S51 loci was detected by NGS in this study for the improvement of the identifying performance of locus.

CPMG sequence is widely used to measure crosslink density of rubber. However, the crosslink density obtained by this technique has a strong dependence on the interval times between the pulses in CPMG sequence, and the results measured have only a weak correlation with rubber hardness. To overcome this shortcoming, we proposed in this work to construct a 1H T2 relaxation curve by summing Gaussian-weighted CPMG relaxation curves acquired at by varying the interval time between the pulses in CPMG sequence. Using the multi-echo Gaussian-weighted relaxation curve to calculate the crosslink density gave results that had greatly improved correlation with the rubber hardness. The new method was also fast and efficient, as it took only one-tenth of the experimental time required for the conventional 1H double quantum NMR (1H DQ NMR) experiment.

NMR is a frequently used technique for measuring crosslink density of rubbers. In this work, three commonly used proton NMR methods for measuring crosslink density of rubbers[i.e., 1H double-quantum (DQ) NMR, 1H Hahn echo and 1H CPMG echo] were compared. Different approaches showed different results, and the origin of such discrepancy was discussed. The echo time dependence of the crosslink density measured with the CPMG echo method was studied. The ways to improve theCPMG echo-based measurements are discussed.

As a renewable resource, Glycyrrhiza uralensis residue is rich in a variety of active substances, such as flavonoids, polysaccharides and wood fibers. Extracting Glycyrrhiza uralensis residue can fully explore and utilize the active ingredients in residue, increasing the potential added value of the medicinal residue. The active substances extracted from Glycyrrhiza uralensis residue are beneficial to improve the growth performance and reproductive level of animals and enhance antioxidant capacity and immunity of animals. Glycyrrhiza uralensis extract has a certain anti-inflammatory effect. The article reviews the extraction methods of various active ingredients in Glycyrrhiza uralensis residue and their applications in animal production, in order to provide a reference for promoting the reuse of Glycyrrhiza uralensis resources and improving the efficiency of animal production. [ABSTRACT FROM AUTHOR]

Track quality status evaluation is of great significance to the safe operation and maintenance of trains. Therefore, this paper constructs a track quality status evaluation model based on the combination weighting method of game theory and grey clustering. The model first puts forward a comprehensive evaluation index system including track geometric state and structural state, then uses game theory to seek the optimal decision-making solution among analytic hierarchy process, entropy method and coefficient of variation method, and obtains the subjective and objective weights and combination weights of each index. On this basis, grey clustering is used to evaluate the track quality state according to the principle of maximum membership, Finally, the evaluation model is verified and studied by an example. The research results show that the excellent proportion of the evaluation results of the eight track units calculated by the model is 75%, which is basically consistent with the evaluation results of the Chengdu Metro inspection. However, the use of a weight method alone is greatly affected by the subjective and objective factors, which deviates from the actual results. Thus, the scientificity and rationality of the index system and method of the model are verified, and the direction of further research and optimization is given. [ABSTRACT FROM AUTHOR]

In response to the problems of complex oil and water distribution pattern, poor understanding of sand bodv depositional characteristics and depositional control factors in the second member of the Sangonghe Formation in the Moxizhuang area, the depositional characteristics of the area were analvzed, the depositional control factors were determined, and depositional modes were established in different periods to clarifv the spatial location of sand-stone reservoirs on the basis of the logging, coring, physical properties and seismic data and in combination with the fault activity. The study shows that in the Moxizhuang area, the braided river delta front sedimentary system is de-veloped, which is divided into 8 kinds of lithofacies such as granularly supported conglomerate facies, sandy conglomerate facies, pebbly sandstone facies massive sandstone facies, cross-laminated sandstone facies, parallel-lam-inated sandstone facies, horizontal-laminated sandstone facies, mudstone facies and 6 kinds of sedimentary micro-facies, such as braided watercourse, interdistributary bay, channel sand bar, mouth bar, distal bar, and shore-shallow lake microfacies according to the sedimentary characteristics; during the depositional period of the lower subsection of the second member of the Sangonghe Formation, the north fault activity was strong, so the slope -break geomorphology was formed in the study area, resulting in hydrodynamic conversion depositional features between the north and south parts of the studv area; in the context of the lake level rising and hvdrodvnamic wweake-ning, the activitv of the south fault intensified during the depositional period of the upper subsection, which togeth-er wwith the graben tectonics formed bv the north faults controlled the conversion of the deposition direction of the sand bodv in the southeastern part of the studv area, and favored a shift in the depositional direction of the sand bodv to a nearlv east-west direction. This studv is of guiding significance in determining the spatial distribution of sand bodv reservoirs in the Moxizhuang Area. [ABSTRACT FROM AUTHOR]