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[Objective] The influence of different storage temperatures on the quality and total number of microbial colonies of Premna microphylla Turez jelly was studied, and the shelf-life prediction model based on quality indexes and the total number of colonies were established. [Methods] P. microphylla Turez jelly were stored at temperatures of 1, 4, 10, 15, 20 and 25 ℃, and the hardness, adhesiveness, springiness, chewiness, water holding capacity and total number of colonies were regularly measured. The influence of different temperatures on the quality indexes and the total number of colonies were discussed, and the fitting equations of each monitoring index were determined. According to the quality indexes and total number of colonies of P. microphylla Turez jelly, P. microphylla Turez jelly's shelf-life prediction model was established by combining the Arrhenius model and Belehradck model. [Results] The results show that the different storage temperature has no significant change in springiness, while the storage temperature has a significant effect on the hardness, adhesiveness, chewiness, water-holding capacity, and total number of colonies. The zero-level response equation was the best fit for the change in water holding capacity of P. microphylla Turez jelly, with an average fit of 0.978. On the influence of hardness, viscosity, and chewability, the first-order reaction had the best fitting, and the average fitting degree was 0.967, 0.904, and 0.977, respectively. The Logistics equation had the best fitting effect on the total number of colonies of P. microphylla Turez jelly, and the average fitting was 0.992. Five shelf-life prediction models were validated under the storage temperature of 3 ℃. The relative errors between the measured and predicted values were 7.50%, 8.13%, 4.38%, 5.00%, and 3.75%, respectively, with good prediction results. [Conclusion] The models can effectively predict the shelf life of P. microphylla Turez jelly under storage conditions from 1 ℃ to 25 ℃.

Objective To investigate the clinical effect of auricular acupoint pressing combined with continuous scenario simulation nursing interventions for patients with Meniere's disease. Methods A total of 60 patients who met the inclusion and exclusion criteria were randomly divided into the observation group and control group using a random number table, with 30 patients in each group. The control group received routine treatment and nursing, while the treatment group received combined with continuous scenario simulation. The intervention efficacy, patient satisfaction and sleep quality were measured and compared between groups. Results The total effective rate of intervention was 80. 00%(24/30) in the observation group and 63. 33%(19/30) in the control group, with a significant difference(P＜0. 05). The nursing satisfaction rate in the observation group was higher than that in the control group (96. 67% vs. 66. 67%), with a significant difference (P＜0. 05). The Pittsburgh Sleep Quality Index (PSQI) score in the observation group was lower than that in the control group (P＜0. 05). Conclusion The application of auricular acupoint pressing combined with continuous scenario simulation nursing interventions can improve sleep quality and nursing satisfaction of patients with Meniere's disease . (目的 探讨耳穴压丸联合持续性情景模拟护理干预耳眩晕患者的效果。方法 60例耳眩晕患者随机分为观察组和对照组, 各30例。对照组给予常规干预, 观察组在对照组基础上应用耳穴压丸联合持续性情景模拟护理干预。评估两组临床疗效、护理满意度和睡眠质量。结果 观察组总有效率为80. 00%(24/30)、护理满意度96. 67%(29/30), 高于对照组的63. 33%(19/30)和66. 67%(20/30), 差异具有统计学意义(P＜0. 05)。观察组匹兹堡睡眠质量指数量表(PSQI)评分低于对照组, 差异有统计学意义(P＜0. 05)。结论 耳穴压丸联合持续性情景模拟护理干预可改善耳眩晕患者睡眠质量, 提高患者满意度。)

ObjectiveTo explore the incidence and influencing factors of subacute and chronic pain in patients returning to the ICU after surgery, provide diagnostic and therapeutic insights for the evaluation and management of such patients, and improve the prognosis of this population.MethodsPatients who underwent surgical treatment and returned to the ICU from November 29, 2021 to December 31, 2021 at Peking Union Medical College Hospital were prospectively recruited. Subacute and chronic pain incidence and characteristics were assessed by telephone at 1 and 3 months after surgery and the influencing factors were further explored.ResultsA total of 117 patients were enrolled, with an average age of 60.9±16.0 years. The incidence of subacute postoperative pain in patients returning to the ICU after surgery was 45.7%(53/116), and the incidence of chronic postoperative pain in patients returning to the ICU after surgery was 32.7%(36/110). The mean NRS for moderate to severe subacute pain and chronic pain after surgery were(4.9±1.2) and (5.2±1.1), respectively. Multivariable logistic regression analysis showed that coronary artery disease (OR=5.263, 95% CI: 1.436-19.292)was risk factor for chronic postoperative pain in patients returning to the ICU after surgery.ConclusionsPatients returning to the ICU after surgery have a high incidence of postoperative subacute and chronic pain. Coronary artery disease was the risk factor for chronic pain.Perioperative multimodal pain management can be used to improve the pain experience of patients during ICU hospitalization and the short-term and long-term prognosis of patients.

Objective To identify the risk factors for postoperative nausea and vomiting (PONV) in surgical patients undergoing patient controlled intravenous analgesia (PCIA). Methods Our study was a retrospective cohort study, including patients who underwent surgery at Peking Union Medical College Hospital from July 1 to October 31, 2023 and received PCIA after surgery. Patient characteristics, medical history, surgical information, intraoperative medication information, postoperative analgesia follow-up information were obtained through the electronic medical record system. The patients were divided into PCIA-PONV group and non-PCIA-PONV group, depending on the occurrence of PONV during PCIA, and all patients were also divided into PCIA-POV group and non-PCIA-POV according to whether postoperative vomiting (POV) occurred. Multivariate Logistic regression analysis was used to identify the risk factors for PCIA-PONV and PCIA-POV. Results A total of 1373 patients were included in this study, with 676 cases in PCIA-PONV group. The incidence of PCIA-PONV was 49.2%. There were 285 patients in PCIA-POV group, and the incidence of PCIA-POV was 20.8%. The results of multivariate Logistic regression analysis showed that female (OR=2.134, 95% CI: 1.590-2.865, P < 0.001) and abdominal surgery (OR=1.655, 95% CI: 1.253-2.186, P < 0.001) were risk factors for PCIA-PONV, whereas the increase of age (OR=0.990, 95% CI: 0.982-0.998, P=0.019) and the increase of BMI (OR=0.961, 95% CI: 0.932-0.991, P=0.012) were protective factors for PCIA-PONV. Female (OR=2.646, 95% CI: 1.754-3.992, P < 0.001), history of general anesthesia (OR=1.372, 95% CI: 1.042-1.806, P=0.024), and intraoperative use of high-dose opioids (OR=1.607, 95% CI: 1.206-2.142, P=0.001) were risk factors for PCIA-POV, whereas no intraoperative use of neuromuscular blocking antagonists (OR=0.393, 95% CI: 0.237-0.651, P < 0.001) was protective factor for PCIA-POV. Conclusions Our study reveals the risk factors for PONV in surgical patients undergoing PCIA, and shows that comprehensive preoperative assessment and reasonable perioperative management strategies are significant in the prevention of PCIA-PONV.

The objects in the fully mechanized working face have the features of high-speed motion, multi-scale, occlusion, etc. The existing object detection algorithms have problems such as low precision, large memory of models, and strong hardware dependence. In order to solve the above problems, a large block coal detection algorithm based on MES-YOLOv5s is proposed in fully mechanized working face. The method adopts a lightweight design, uses MobileNetV3 as the backbone network to reduce the memory occupied by the model and improve the detection speed on the CPU side. The method adds an efficient multi-scale attention (EMA) module to the neck network, fuses contextual information of different scales, and further reduces computational overhead. The method uses SIoU loss function instead of CIoU loss function to improve training speed and inference accuracy. The ablation experiment results show that MobileNetV3 significantly reduces the memory and detection time occupied by the model, but the mAP loss is severe. The EMA module and SIoU loss function can restore the precision of the loss to a certain extent, while ensuring that the model has a high detection speed on the CPU, meeting the real-time detection needs of coal mine underground objects. The comparative experimental results show that compared with DETR, YOLOv5n, YOLOv5s, and YOLOv7 models, the MES-YOLOv5s model has the best overall performance, with an mAP of 84.6%. The model occupies 11.2 MiB of memory and has a detection time of 31.8 ms on the CPU side. It can maintain high recall and precision in high-speed motion, multi-scale, occlusion, and multi-object working environments.

Classic Traditional Chinese Medicine literatures are the crystallization of the wisdom of ancient medical masters in China. They provide the essence and basis for the principles of syndrome differentiation and treatment as well as the application of syndrome differentiation in care. As the inheritors of Traditional Chinese Medicine nursing, it is necessary for us to study classic Chinese medicine literatures. This article summarizes the author's reflections and insights gained from studying classic Traditional Chinese Medicine literatures in four aspects: strengthening the understanding of Traditional Chinese Medicine concepts, cultivating Traditional Chinese Medicine thinking, establishing a solid foundation in Traditional Chinese Medicine, and enhancing confidence in Traditional Chinese Medicine. (中医经典是中国古代医学泰斗智慧的结晶, 是辨证论治、辨证施护的精髓与依据。研读中医经典是中医护理传承的必要任务。本文从强化中医理念、培养中医思维、夯实中医基础和增强中医自信四方面总结笔者在中医经典学习过程中的思想感悟。)

BackgroundNeutron localization technology can be used for monitoring spent fuel reprocessing to prevent nuclear criticality accidents.PurposeThis study aims to investigate the effects of different neutron emission modes, 3He pressure, tube diameter, and moderators on the position resolution and detection efficiency of a position-sensitive 3He proportional counter.MethodsFirstly, a 3He proportional counter with a tube diameter, tube length, and 3He pressure of 2.54 cm, 80 cm, and 405 300 Pa, respectively, was taken as object of study, and the Monte Carlo (MC) algorithm was employed to simulate the effects of neutrons with different energies, neutron emission modes, 3He pressures, tube diameters, and moderating bodies on the position resolution and detection efficiency of a position-sensitive 3He proportional counter. Then, the effects of the time difference of arrival (TDOA) on the location of a source in an active zone, source to tube distances, thickness of moderating body, and position resolution of the 3He proportional counter were investigated. Finally, a linear fitting analysis of the active region was performed, and the locations of inactive regions were estimated to determine the positioning ability of the 3He tube.ResultsSimulation results show that the position resolution of this 3He proportional counter is equal in all axial sections, and the position-resolution limit of thermal neutron source is 0.17 cm. When the thickness of the moderating body is 5 cm, and the 244Cm source is close to the external wall of the moderating body, the neutron detection efficiency is 3.0%, and the theoretical position resolution is 9.25 cm whilst experimental result of position resolution is 18.50 cm, half of the theoretical value, and the location resolution limit is 2.64 cm after processed by the linear fitting curve of the active location and a time-difference crest.ConclusionsMC simulation and experimental tests show that the position-sensitive 3He proportional counter exhibits better position resolution and detection efficiency for the 244Cm source when the thickness of the moderating body is 2~3 cm, hence suitable for practical applications.

The nursing of integrated traditional Chinese and western medicine has played an important role in the prevention and treatment of infection and infectious diseases. This paper reviewed the studies on advantages and implementation of integrated traditional Chinese and western medicine nursing in prevention and treatment of infection and infectious diseases, and provided reference for establishment of integrative nursing plans for infection and infectious diseases. (中西医结合干预在传染与感染性疾病防治中起到了重要的作用。本研究就传染与感染性疾病防治中常见的中西医结合护理方法以及优势进行综述, 旨在为进一步建立和完善传染与感染性疾病的中西医结合护理方案提供参考。)

The paper introduces the origin and style characteristics of transparent design concept, discusses the significance and value of introducing transparent design in agricultural product packaging, and elaborates on the application principles and issues that need to be paid attention to when introducing transparent design in agricultural product packaging from three aspects: pattern design, color application, and material selection.

During the movement or operation of coal mining equipment such as a roadheader, the vibration of the vehicle body can easily cause blurring of the onboard camera video. This leads to a decrease in the precision and reliability of machine vision detection based on the onboard video. In order to solve the above problem, an onboard video stabilization algorithm for roadheader based on CLAHE and Kalman filter is proposed. This algorithm consists of three parts: motion estimation, trajectory smoothing, and motion compensation. In the motion estimation stage, the contrast limited adaptive histogram equalization (CLAHE) algorithm is used to enhance the image of the underground roadway. The Shi-Tomasi algorithm is used to obtain the feature points of each image frame. The obtained feature points are tracked and matched by optical flow, and then the motion trajectory of the camera is calculated. In the trajectory smoothing stage, Kalman filtering is used to predict the current time value based on the optimal value of the previous frame of the video. It avoids the problem of pre-storing sampling data of mean filtering and improves the real-time performance of image stabilization. In the motion compensation stage, the jitter video is compensated frame by frame based on the relationship between the original motion path and the smooth path, generating a stable video sequence. The experimental results show the following points: ① After CLAHE enhancement processing, the success rate of feature point matching is increased by 58% compared to the non-enhancement processing and 43% compared to the HE enhancement processing. It indicates that the CLAHE algorithm can effectively improve the matching number of image feature points. ② Through pixel offset analysis, differential image analysis, and peak signal-to-noise ratio (PSNR) analysis, it is verified that the onboard video stabilization algorithm for roadheader based on CLAHE and Kalman filter has a good image stabilization effect. ③ Compared with the traditional HE+mean filtering algorithm, the algorithm based on CLAHE and Kalman filter reduces the overall time consumption of processing 100 frames of video images by 0.379 seconds, effectively improving the real-time performance of the video stabilization while removing jitter.

Neutron-induced fission nuclear reaction data are critical for understanding nuclear physics, engineering, and technology. The accuracy of fission cross section of key fuel nuclides and sub-actinide nuclei is increasingly important with the development of new nuclear energy system concepts. Machine learning is a powerful tool for data analysis and modeling, and can be used to extract features from large amounts of data without requiring encoding for a specific task. Neural networks, a subset of machine learning, are particularly effective for mapping input to output for tasks with a sufficient number of target-valued data. In a recent study, researchers applied machine learning methods to analyze fission nuclear reaction cross section data. The team collected fission cross section data for the uranium isotope chain from the experimental nuclear reaction data (EXFOR) library and five sets of frequently used evaluation data from the evaluated nuclear data file (ENDF) library. The neutron-induced fission cross section data of 233-239U in the energy range from 2 to 20 MeV were selected as the training data set. To obtain fission cross sections for a given neutron number, proton number, and corresponding incident neutron energy, the feedforward neural network (FNN) was trained using fission cross section data from experimental measurement of the uranium isotope chain to achieve maximum agreement with experimental and evaluation data. The results show that the fission cross section data generated by the machine learning method can reproduce the step structure of the fission cross section well and is very close to the results of experimental and evaluation data. This provides a research basis for large-scale analysis of fission cross section data of easy-to-fission nuclei. The application of machine learning to nuclear physics and engineering is still in its early stages, and there are several challenges that need to be addressed. One major challenge is the lack of high-quality data sets, which are essential for training and testing machine learning algorithm. In addition, the complexity of nuclear reactions and the need for accurate modeling of the underlying physics present additional challenges. Despite these challenges, machine learning has the potential to revolutionize both the research and practice of nuclear physics and engineering. The ability to analyze and model large amounts of data can help researchers better understand the underlying physics of nuclear reactions and improve the accuracy of predictions. Machine learning algorithm can also be used to optimize the design and operation of nuclear reactors, leading to improved safety and efficiency. In conclusion, machine learning method is a promising approach for analyzing and modeling nuclear physics and engineering data. The application of neural networks to fission cross section data provides a new perspective on the understanding and prediction of nuclear reactions. Continued research and development of machine learning algorithm can contribute to the safe and efficient use of nuclear energy for generations to come.

Abstract： Deep neural networks have achieved great success in classification and prediction of high-dimensional data. Training deep neural networks is a data-intensive task, which needs to collect large-scale data from multiple data sources. These data usually contain sensitive information, which makes the training process of convolutional neural networks easy to leak data privacy. Aiming at the problems of data privacy and communication cost in the training process, this paper proposes a distributed training method for deep neural networks, which allows to jointly learn deep neural networks based on multiple data sources. Firstly, a distributed training architecture is proposed, which is composed of one computing center and multiple agents. Secondly, a distributed training algorithm based on multiple data sources is proposed, which allows to distributed jointly train models through the splitting of convolutional neural networks under the constraints that raw data are not shared directly and the communication cost is reduced. Thirdly, the correctness of the algorithm is analyzed. Finally, the experimental results show that our method is effective.

The combination of standardized D2 lymph node dissection and lymph node sorting after surgery can improve the survival of patients with gastric cancer and increase the accuracy of staging. With the development of different lymphatic tracers, individualized lymphatic navigation has become a new technical breakthrough in minimally invasive surgery for gastric cancer. Lymph node tracing is an important method to improve the quality of intraoperative lymph node dissection and correct the postoperative pathological stage. This article reviews the application status and progress of lymphatic navigation technology.

BackgroundThe use of neutron-based methods to locate radioactive sources within sealed containers holds great practical significance.PurposeThis study aims to locate an AmLi source within the detection space of four position-sensitive neutron detectors.MethodsFirst of all, the Monte Carlo method was applied to designing the moderating shield of the detector. Then, a delay circuit was added to one end of the detector hence the position coordinate of the source y-axis (detector axis) was determined according to the time difference between the two ends of the detector to detect the source neutron signal, and the axial position function of each detector was calibrated. Finally, the detector was used to build a measurement space around sealed container, and the position coordinates of the x-axis and z-axis (the other two directions) were determined by the ratio of the neutron count rate of the two adjacent detectors, so was the function calibration. During the measurement of neutron point-source 3D coordinates, the detector with the largest count rate was first selected to determine the axial coordinates of the source, and then the coordinates of the other two directions of the source were determined according to the ratio of the count rate of the two adjacent detectors to the detector, so as to realize the location of the source.ResultsMeasurement results of five different positions of the point source in the detection space show that the positioning deviation on each coordinate axis is within 1.5 cm, and the relative standard deviation of neutrons measured in this detection space is within 1%.ConclusionsThis methodology effectively demonstrated the feasibility of employing neutron position-sensitive detectors to precisely locate radioactive sources, establishing a strong foundation for future endeavors aimed at accurately determining the positions of nuclear materials within processing equipment in nuclear facilities.

Nuclear data are fundamental data for nuclear energy, nuclear engineering, nuclear technology applications and nuclear science research, and have always received national attention. In particular, the importance of neutroninduced fission nuclear reaction data is unquestionable and the theoretical evaluation of nuclear data is required for a long period of time. The reaction mechanism of neutron induced fission reaction is very complicated and needs to be described by several different nuclear reaction models, such as optical potential model and compound nuclei model and so on. Nowadays, the most famous international nuclear reaction program systems are TALYS and EMPIRE. In China, the program FUNF is a fission nuclear reaction program system with our own independent intellectual property rights, which was developed by Prof. Zhang Jingshang of the China Nuclear Data Center. Each of these program systems need more than 40 parameters to be adjusted. Therefore, it is necessary to optimize a large number of parameters at the same time in order to correctly describe the nuclear fission reaction data. In this work, the FUNF program system was used to calculate the fission reaction data of neutron induced 238U. The fast neutron reaction data of fissile materials with incident energy from about 1 keV up to 20 MeV were calculated by FUNF code. It consists of the spherical optical model, the HauserFeshbach model, and the angular momentum dependent exciton model to describe the emission from compound nucleus to the discrete levels of the residual nuclei in preequilibrium process, meanwhile equilibrium reaction process was described by the HauserFeshbach model with width fluctuation correction. Based on the FUNF nuclear fission reaction model, the parameters of the FUNF program system was adjusted by the advanced optimization method MINUIT. MINUIT is a numerical minimization software library in the Fortron by CERN staff Fred James in the 1970 s. Then, combined with the parallel calculation method of MPI (message passing interface), preliminary calculations for the neutron induced fission reaction of 238U were performed. The results show that the FUNF parameters obtained by the MINUIT optimization method can well describe the fission reaction data of 238U. Next, the procedure will continue to be optimized to further improve the efficiency of the tuning parameters and the accuracy of the parameters. And the application to the relevant fission nuclear reactions will be developed to improve the accuracy of our fission nuclear reaction data.

Neurodegenerative diseases are a group of disorders in which progressive loss of neurons due to abnormal protein deposits causes structural and functional changes in the brain, including Alzheimer's disease (AD), Parkinson's disease (PD), dementia with Lewy bodies (DLB) and frontotemporal dementia (FTD). In brain imaging studies of neurodegenerative diseases, resting ⁃ state fMRI (rs ⁃fMRI) has been widely used, with most studies analysing static features of brain function. However, the human brain is dynamic and its neural activity is non ⁃ stationary, and static studies can not reveal the time ⁃ varying features of brain function. In recent years, many studies have used dynamic analysis of brain function based on rs ⁃fMRI in order to reveal the dynamic nature of complex neural activity in the brain and further investigate the pathophysiological mechanisms and diagnostic markers of disease. In this paper, we will briefly introduce the rs ⁃fMRI analysis method, the common methods of rs ⁃fMRI ⁃ based dynamic analysis of brain function and its application and research progress in common neurodegenerative diseases.

Objective To analyze and describe the learning curve of radial artery catheterization under ultrasound-guided dynamic needle tip positioning (DNTP) by anesthesia residents in Peking Union Medical College Hospital and to explore the learning intensity of supervision practice required to master this technique. Methods From January 2018 to June 2018, the learning records of two anesthesia residents in the Peking Union Medical College Hospital who perform radial artery catheterization under ultrasound-guided DNTP technique were used to describe the learning curve of cumulative sum analysis (CUSUM). The learning intensities were explored to improve the attempts and time needed for successful catheterization, first-attempt and overall success rates. The evaluation indexes before and after reaching the learning intensity were compared. Results Taking the attempts and time needed for successful catheterization, and the first and overall success rate as the evaluation indexes, the learning intensity required for the two trainees to master DNTP was 29/36, 29/29, 29/36 and 14/11 cases. After reaching this learning intensity, the number of operations required for successful puncture and catheterization decreased significantly (P＜ 0.05), and the time required, the first time and the overall success rate improved. Conclusions Considering the attempts and time needed for successful catheterization, first-attempt and overall success rates the learning intensity of the supervision practice needs to reach 36 cases.

Objective To investigate the clinicopathological characteristics and prognosis of patients with Borrmann type Ⅳ gastric cancer. Methods A cohort retrospective analysis of 2386 patients with gastric cancer who underwent radical surgery was used to screen out Borrmann type Ⅳ patients, and analyze their clinical features and prognostic factors. Results Among 2386 patients with gastric cancer, 363 cases (15.21%) were Borrmann type Ⅳ. Compared with non-Borrmann type Ⅳ gastric cancer patients, Borrmann type Ⅳ patients had higher rates of simultaneous liver metastasis, metachronous liver metastasis, lymph node metastasis and vascular infiltration. Moreover, the age of onset tended to be younger and the pathological type tended to be poorly differentiated-undifferentiated (all P < 0.05). The 5-year OS of the entire group was 49.32% and the 5-year DFS was 44.61%. There were significant differences in 5-year OS and DFS between Borrmann type Ⅳ and non-Borrmann type Ⅳpatients (all P < 0.001). The subgroup analyses showed that there were statistically significant differences in 5-year OS and DFS of gastric cancer patients between Borrmann type Ⅳ and non-Borrmann type Ⅳ in pT2-pT4a and pN0-pN3a stages (all P < 0.005). Multivariate analysis showed that the poorly differentiated-undifferentiated tumor, the T4a-pT4b stage of tumor invasion depth, lymph node metastasis, the ⅢA-ⅢC pTNM stage of the tumor, postoperative liver metastasis and peritoneal metastasis were independent risk factors affecting the prognosis of Borrmann type Ⅳ gastric cancer patients (all P < 0.05). Conclusion Borrmann type Ⅳ gastric cancer is prone to liver metastasis, lymph node metastasis, peritoneal metastasis and poor prognosis, and it's prognosis is affected by a variety of independent risk factors.

Aiming at problems of poor environmental adaptability of photoelectric navigation and low accuracy of long-term positioning of inertial navigation adopted in roadheader positioning, an inertial navigation positioning method of roadheader based on zero-velocity update was put forward based on analysis of movement characteristics of roadheader. In short stopping time interval of roadheader, velocity error curve of inertial navigation system is fitted by quadratic curve, and position error curve is obtained by integration, so as to correct position measurement value of inertial navigation system. The test results show that the inertial navigation positioning accuracy of roadheader based on zero-speed update can reach centimeter-level, fluctuation range of positioning error is small, and accumulated positioning error has no obvious increasing trend with the increase of time, which meets positioning requirements of roadheader.

Based on the analysis on temperature and stress distributions, as well as fatigue crack propagation in cutting tools, a model for designing compositional distribution and microstructure with graded characteristics was proposed. The addition of ductile phase and the introduction of the graded structure are beneficial to slow down the fatigue crack propagation rate and improve tool life.Al2O3-(W,Ti)C-TiN-Mo-Ni nano-composite tool material with graded structures was fabricated via two stage hot pressing sintering process, and the microstructure and mechanical properties were studied. The results show that the surface hardness, fracture toughness of inner layer and bending strength of the cermet with sintered gradient structure reach 19.258GPa, 10.015MPa·m1/2 and 1017.475MPa,respectively.The performance requirements to cutting tools were met. The dimple cleavage and torn edge of the binding phase in the fracture surfaces can be beneficial to the improvement of the fracture toughness and bending strength,so the resistance to fatigue crack propagation of tools is improved.

Problems of navigation and positioning of boom-type roadheader and its particularity and mathematical description were described. Status of technology of electro-optical navigation and positioning and pose detection, technology of inertial navigation, and navigation and positioning technology based on multi-information fusion were analyzed in details. The conclusions were obtained: the technology of electro-optical navigation is mature and has high precision, but there are serious environmental adaptability problems in coal mine application; the inertial navigation technology has strong adaptability, high accuracy of pose detection, but has poor precision of long-term positioning; the technology based on fusions of multi-information and multi-sensor, which combining electro-optical navigation and inertial navigation, may be the better way to solve the problem of spatial position and pose detection of boom-type roadheader, the key to realization of information fusion is to solve measuring benchmarking issues brought from multi-information and multi-sensor, and more robust fusion algorithm is needed.

Based on four degrees of freedom cartesian transfer robot structural model,the method of parametric modeling of the main part and component of the cartesian robot are studied.Considering the actual needs of different production lines,and combined with CATIA virtual design technology and knowledge engineering techniques,the issues of cartesian robot three-dimensional model rapid generation is solved.The three-dimensional standard part and component library is built by CATIA V5R19.The selection of components and automatic generation are achieved,the designer can obtain the structural parameters by considering the user requirements and do some design calculations relevant to the selected design parameter.

The paper presented a performance testing method of section monitoring system according to general working principle of section monitoring system. The method measures spatial position of feature point on cutting header by setting references of roadheader and roadway, and projected spatial track of a series feature points obtained on the plane where section outline was defined according to the references of roadheader and roadway when cutting header completes section scanning under guiding to section monitoring system, so as to form a real section outline. Finally, the method compared the real section outline with the defined one according to indexes of angle error, position error and shape error to complete performance evaluation of section monitoring system. The experimental result showed that the method is effective and accurate.

In applications of public-key encryption schemes, anonymity（key-privacy） as well as security（data-privacy） is useful and widely desired.Recently Canetti-Halevi-Katz proposed a generic and elegant IBE-based construction for（tra-ditional） public-key encryption, whose performance was improved by another construction proposed by Boneh-Katz.To analyze such two constructions’ anonymity, two new and generic concepts in IBE scheme,"master-key anonymity"and"relevant master-key anonymity"were proposed and two different sufficient conditions for chosen-ciphertext anonymity were proved for Canetti-Halevi-Katz and Boneh-Katz constructions.

Purpose Based on the theory of "there is a cause but no death", the effects of Korean epimedium on liver function in rats with kidney yang deficiency, kidney yin deficiency and normal rats were observed, and the relationship between Korean epimedium-induced liver damage and body symptoms was explored. method A total of 72 male SD rats were divided into a normal group, a kidney yang deficiency group, and a kidney yin deficiency group by random number table method. The rats in the kidney yang deficiency group were intramuscularly injected with hydrocortisone injection (20 mg/kg) daily to establish the kidney yang deficiency syndrome model, and the rats in the kidney yin deficiency group were gavaged with thyroid tablet suspension (160 mg/kg) daily to establish the kidney yin deficiency syndrome model for 14 consecutive days. After the model was successfully established, the rats were divided into a normal group, a low-dose and high-dose Korean epimedium group, a kidney yang deficiency group, a kidney yang deficiency + low-dose Korean epimedium group, a kidney yin deficiency group, and a kidney yin deficiency + low-dose Korean epimedium group. The animals in the drug group were continuously gavaged with the corresponding drugs, with the dose of Korean epimedium low-dose group being 0.26 g/kg and the dose of Korean epimedium high-dose group being 0.77 g/kg. The other groups were given drinking water once a day for 28 consecutive days. The changes in body weight of rats were monitored during the administration period. After the administration, the serum alkaline phosphatase (ALP), alanine aminotransferase (ALT), aspartate aminotransferase (AST), direct bilirubin (DBil), indirect bilirubin (IBil) and total bilirubin (TBil) levels of rats in each group were detected by biochemical analyzer. The liver weight of rats in each group was measured, and the organ-to-body ratio and organ-brain ratio were calculated. HE staining was used to observe the pathological changes in the liver of rats in each group. result Compared with the normal group, the body weight of rats in the high-dose Korean epimedium group decreased and IBil increased on the 21st day of administration (all P < 0.05); the body weight of rats in the kidney-yang deficiency group decreased at each measurement time point from the 3rd to the 28th day, ALP increased, and liver weight decreased (all P < 0.05). Compared with the kidney-yang deficiency group, the ALP of rats in the kidney-yang deficiency + high-dose Korean epimedium group decreased (all P < 0.05), the pathological damage of liver tissue in rats in each kidney-yang deficiency group was improved, the fat vacuoles decreased, and the pathological score showed a downward trend. Compared with the kidney-yin deficiency group, the IBil of rats in the kidney-yin deficiency + high-dose Korean epimedium group increased and the organ-brain ratio decreased (all P < 0.05). in conclusion Within the studied dosage range, Korean epimedium had little effect on the liver function of rats with kidney yang deficiency, but had a certain liver-injury effect on normal rats and rats with kidney yin deficiency. There may be a correlation between Korean epimedium-induced liver damage and the syndrome. Objective This study explored the effects of Epimedium koreanum Nakai (EK) on liver function in normal, kidney yang deficiency (KYANGDS), and kidney yin deficiency (KYINDS) rats based on the theory of "You Gu Wu Yun." The study also investigated the connection between EK-induced liver injury and symptoms. Methods Seventy-two male SD rats were divided into normal, KYANGDS, and KYINDS groups using the random number table method. The KYANGDS model was established through intramuscular injection of 20 mg/kg of hydrocortisone, whereas the KYINDS model was established through daily gavage of 160 mg/kg of thyroid tablet suspension for 14 consecutive days. After successful modeling, the rats were divided into the normal, EK low-dose, EK high-dose, KYANGDS, KYANGDS + EK low-dose, KYANGDS + EK high-dose, KYINDS, KYINDS + EK low-dose, and KYINDS + EK high-dose groups using the random number table method. Animals in the drug groups were administered low (0.26 g/kg) and high (0.77 g/kg) EK extract doses through continuous gavage. The other groups received drinking water once a day for 28 consecutive days. Changes in body mass were monitored during the administration period, and serum alkaline phosphatase (ALP), alanine transaminase(ALT), aspartate transaminase(AST), direct bilirubin, indirect bilirubin (IBil), and total bilirubin (TBil) were measured at the end of administration using biochemical analyzers. The liver weight, visceral body ratio, and visceral brain ratio were measured. Hematoxylin and eosin staining were performed to observe the pathological changes in the liver. Results Compared with the normal group, the EK high-dose group showed a decrease in body weight on the 21st day during the drug administration period and an increase in IBil (P<0.05); the KYANGDS group had lower body weight at each measurement time point from the third to the 28th day, higher ALP, and lower liver weight (P<0.05). Compared with the KYANGDS group, the KYANGDS + EK high-dose group had decreased ALP levels (P<0.05). The pathological damage of liver tissue in each KYANGDS administration group improved, the presence of fat vacuoles were reduced, and pathological scores show a decreasing trend. Compared with the KYINDS group, KYINDS+ EK high-dose group exhibited a higher IBil level and a lower visceral brain ratio(P<0.05). Conclusion EK has a small effect on the liver function of rats with KYANGDS within the dose range; however, it has a specific hepatogenic impact on normal and KYINDS rats, and EK-induced liver injury and the symptoms may be associated with each other. [ABSTRACT FROM AUTHOR]

Objective To explore the current situation and influencing factors of the family burden of patients with severe mental disorders. Methods The main guardians of 715 patients with severe mental disorders in Qingyang City were selected as the research object by the multi-stage stratified cluster random sampling method. A self-made questionnaire was applied to investigate the guardian's demographic data, family situation, health status, patient demographic data, and disease treatment. The current situation of family burden was investigated by the Family Burden Scale (FBS). Multiple linear regression analysis was applied to analyze the influencing factors of family burden for patients with severe mental disorders. Results The total FBS score was 22.36 ± 13.11, and the burden of medium and above accounted for 50.57%. The financial burden on the family was the heaviest. The results of multiple linear regression analysis revealed that the patient's education level, marital status, monthly medication expenses, current condition, medication adherence, medical security, guardian's health status, relationship with the patient, cohabitation time, and monthly family income were the influencing factors of family burden (P < 0.05). Conclusion The family burden of patients with serious mental disorders in Qingyang City is relatively heavy. Families with unstable patient conditions, high monthly medication expenses, low household income, guardians in sub-health or suffering from chronic disease, and long-term living with the patient require further attention. Providing these families with assistance and support is essential to alleviating their burden. [ABSTRACT FROM AUTHOR]

Thermally processed foods, such as cookies, are susceptible to heat treatments and easily generate hazardous substances including reactive carbonyl compounds, 5-hydroxymethylfurfural, acrylamide, and advanced glycation end products (AGEs). They all displayed various deleterious effects on human health. Amino acids have been found to inhibit the formation of these harmful substances by eliminating the reactive carbonyl compounds. However, the application of single amino acids in food products tends to affect the organoleptic quality of the products negatively. Moreover, the simultaneous inhibition effects of the amino acids on different hazardous substances in real food were less investigated. This study aimed to obtain an amino acid complex formula that could efficiently and simultaneously reduce the levels of the abovementioned harmful substances in cookies while retaining the desired organoleptic quality of the products. Four amino acids with efficient elimination capacity on harmful substances were selected for the investigation. Based on the evaluation of sensory, colour, and texture properties, and the inhibition rate of all the harmful substances, the amino acid formula was optimized as 0.15 g/ kg of cysteine, 0.35 g/ kg of γ-aminobutyric acid, 0.5 g/ kg of alanine, and 0.5 g/ kg of glycine. The cookies prepared with this formula showed an evident reduction in the levels of 5-hydroxymethylfurfural, methylglyoxal, 3-deoxyglucosone, acrylamide, carboxymethyl lysine, carboxyethyl lysine, and fluorescent AGEs by 92%, 28%, 47%, 38%, 50%, 71%, and 62%, respectively, as compared to the blank group. In addition, this formula improved the crispiness of cookies and the organoleptic qualities of the product. The study provides important strategies and guidelines for the control of harmful substances, and in the meantime, the improvement of the quality of thermally processed foods such as cookies. [ABSTRACT FROM AUTHOR]

Books on poetry methods in the Republic of China are divided into two types. The first type is teaching materials or course notes compiled by school teachers to guide students in writing poetry. It is represented by university lecture notes such as Huang Jie' s Rhythm of Poetry, Feng Zhen' s Examples of Seven Character Quatrains Methods, and Xu Qian' s Poetics. They specialize in teaching knowledge and techniques of different poetic styles, with characteristics of specialization, specialization, and systematicity. The second type is poetry enlightenment reading materials compiled for poetry writing enthusiasts in society. It is represented by Zhang Tinghua' s Preliminary Study of Poetry, Liu Tieleng's Hundred Methods of Poetry Writing. They mainly teach the basic knowledge and skills of poetry writing, presenting characteristics of foundation, enlightenment, and popularization. The former belongs to a part of university literature education and reveals the teaching situation of old-style poetry writing in the Chinese Department. The latter belongs to a part of social education and reveals the teaching methods of old-style poetry writing in the society of the Republic of China.They find it difficult to ignore the New Poetry Movement, accuse the abuse of new poetry in the preface, regret the loss of elegance and grace, and create a special chapter in the main text to comment on new-poetry. This forced books on poetry methods to engage in dialogue with new poetry when teaching classical poetry. [ABSTRACT FROM AUTHOR]

Cellular dysfunction caused by vesicle transport is associated with a variety of diseases. The trans-Golgi network (TGN) to endosome transport is an important pathway of vesicle transport, and its defects leading to protein balance disorders has been linked to many diseases such as cancer, neurodegenerative diseases and diabetes mellitus. Golgi-associated gamma-adaptin ear-containing ADP-ribosylation factor-binding protein 2 (GGA2) is a crucial protein involved in TGN-endosomal transport. It plays a significant role in the regulation of several diseases, including cancer, Alzheimer disease, type 2 diabetes mellitus and cerebral ischemia, by mediating protein transport with important biological significance. This article provides an overview of the molecular structure of GGA2, its role in regulating clathrin-mediated protein transport between TGN and endosomes, and its potential implications for a variety of diseases. [ABSTRACT FROM AUTHOR]

Objective To elucidate the metabolomic mechanisms for the clinical phenomes of spleen deficiency and dampness-heat syndrome (PXSR) and the dampness-heat accumulation syndrome (SRYJ) associated with colorectal cancer (CRC). Methods From March 2021 to October 2021, A total of 68 patients with spleen deficiency and dampness-heat syndrome and 58 patients with dampness-heat accumulation syndrome of colorectal cancer were recruited in the Affiliated Hospital of Traditional Chinese Medicine of Southwest Medical University, and 62 healthy control with balanced constitution personnel who underwent physical examination here. Cohorts were established for PXSR phenome (PXSRP), SRYJ phenome (SRYJP), and healthy control with balanced constitution (BC). Serum metabolites were isolated and identified by non-targeted metabolomics and ultra-high liquid chromatography and mass spectrometry (UHPLC-QE-MS) ; the results were further analyzed by principal component analysis (PCA), Orthogonal partial least squares discriminant analysis (OLPS-DA) analysis and bioinformatics analysis. Results Compared with Group BC, Group PXSRP had 12 metabolite differences, including downregulation of guanidoacetic acid, and upregulation of formiminoglat-amic acid, imidazoleacetic acid, deoxyuridine, cytidine, pseudouridine, ornithine, N-acetylornithine, 5-hydroxyindoleacetic acid, porphobilinogen, succinic acid semialdehyde, and galactitol. 7 metabolic pathways were involved, mainly involving abnormal energy metabolism. Group SRYJP had 17 metabolite differences, including upregulation of deoxyuridine, cytidine, porphobilinogen, arachidonic acid, prostaglandin B2, isocitric acid, L-gulonolactone, and downregulation of guanidoacetic acid, uridine, hydroxyproline, pyrrole-2- carboxylic acid, adenosine, 5, 6-DHET, 8, 9-DiHETrE, 9, lO-DHOME, bovinic acid, and hydroxypyruvic acid. Nine metabolic pathways were involved, mainly with lipid metabolism and tricarboxylic acid cycle abnormality. There were 4 identical characteristic metabolite differences (guanidoacetic acid, deoxyuridine, cytidine, porphobilinogen) between group PXSRP and group SRYJP. Conclusion These results reveal the metabolomic mechanism of the formation of the clinical phenomes of PXSR and SRYJ associated with CRC and provide objective metabolomic evidence for the precise diagnosis of CRC clinical phenomes. [ABSTRACT FROM AUTHOR]

To solve the breeding problem of the serious shortage of female cassava flowers, cassava variety 'Xinxianxuan 048' was used as the experimental material. Transcriptional sequencing technology was used to analyze the biological information of differentially expressed genes in female and male flowers during the critical period of cassava flower sex differentiation, explore the functions of differentially expressed genes and possible regulatory pathways involved, excavate candidate genes related to female differentiation, and verify the sequencing results by qRT-PCR method. The results showed that: There were 545 differentially expressed genes between male and female cassava flowers at the critical stage of gender differentiation. Among them, 48.63% of the differential genes were enriched in GO pathway of floral organ morphogenesis and development, and the genes enriched in plant phenylpropanol biosynthesis and plant hormone signal transduction were the most. AGL11, YABBY4, CRC, SUP, and other flower sex differentiation genes were significantly up-regulated in female flowers. Four genes of the cytokinin signaling pathway, including HK4, HPt4, ARR8, and ARR12, were significantly up-regulated in female flowers, while IAA14, GH3, SAUR22, and SAURR20, the early auxin response genes, were significantly down-regulated in female flowers. Therefore, the sexual differentiation of cassava flowers mainly involved the biological pathways of pollen, gametophyte, floral organ morphogenesis and development, and two metabolic pathways of plant phenylpropanoid biosynthesis and plant hormone signal transduction. Cytokinin and auxin might be the main hormones in cassava female flower differentiation. AGL11, YABBY4, CRC, SUP, HK4, HPt4, ARR8, and ARR12 may be positive regulators of cassava female flower differentiation. [ABSTRACT FROM AUTHOR]

A multivariate linear regression model between the coupling factor and the quality index of oat noodles in the drying system was established, and the drying coupling factor predicted the quality index of oat noodles. Taking the quality index of oat noodles as the dependent variables, and the coupling factors (temperature, air absolute water potential, air absolute water potential and accumulated temperature) as the independent variables, through multiple linear regression, the prediction model of each quality index of oat noodles was established, evaluated and verified. The results showed that the established quality index regression models of optimal cooking time, cooking loss, cooking water absorption, ductility, hardness, chewability, adhesion, flexural strength, breaking distance, acidity and fatty acid value, were significant (P <0.01), and the model's coefficients R2 for quality index prediction were 0.8075, 0.9981, 0.8485, 0.8354, 0.8118, 0.8194, 0.8030, 0.8416, 0.8838, 0.8100 and 0.8888, respectively. The drying coupling factor can be used to predict the quality index of oat noodles, and the study provided a theoretical basis for the quality control of oat noodles in the drying process. [ABSTRACT FROM AUTHOR]

Objective The flexible adjustment of train marshalling is an important measure and development trend for urban rail transit train traction energy saving. In order to achieve precise delivery of transport capacity, reduce operational energy consumption and cost, it is necessary to study the flexible train marshalling technology in urban rail transit under the dual carbon (carbon peak and carbon neutrality) background. Method The distribution characteristics of passenger flows in different forecast years, weeks, daily periods, and in different sections of the whole line during peak hours are analyzed. Based on the optimum match between transport capacity and demand, the operation scenarios applicable to the three operation schemes (fixed train marshalling operation, train online coupling/de-marshalling operation, and virtual train marshalling operation) with flexible train marshalling technology are analyzed. The configuration requirements of each system under different operation schemes are elaborated. Result & Conclusion All the three operation schemes with different train marshalling have their applicability and advantages under different operation scenarios. Both the train online coupling/de-marshalling operation scheme and the train virtual marshalling operation scheme have broad application space.

With the continuous improvement of 5G standards, 5G network equipment of global mobile operators has become mature. China's railways take 5G as a new generation of mobile communication technology for railway dedicated network, the R&D of railway application equipment is under way, and the 5G-R equipment interoperation test needs to be started urgently to provide conditions for the deployment of future 5G-R system. Based on the system architecture of 5G-R network and the theory of interoperation test, this paper presents the test architecture of 5G-R interoperation, innovatively puts forward one test method named the building block to set up processes for the verified 5G-R system described in the test architecture. According to the building process of the building block method, this paper lists the interoperation test interface and key test content of the test interface for the equipment to be tested, offers the design process of the interoperation test specification and the test framework of interoperation static and dynamic test environment. [ABSTRACT FROM AUTHOR]

In view of the compound adding requirement of a hard cigarette filter rod, a kind of loading and unloading mechanism of cigarette filter rods was designed. ANSYS WorkBench software was used to simulate the transient dynamics of the filter rod loading and unloading mechanism by using the method of transient dynamics analysis, and the dynamic characteristics of the mechanism were studied from the perspective of structural dynamics. The analysis results show that the maximum equivalent stress of the filter rod loading and unloading mechanism is 112.54 MPa, which is less than the allowable stress of the material. The rationality and stability of the filter rod loading and unloading mechanism were verified by setting up an experimental platform for testing. The results show that the structure design of the filter rod loading and unloading mechanism is reasonable, and the success rate of loading rods reaches 100%, which can meet the work requirements. [ABSTRACT FROM AUTHOR]

In order to improve the ablation resistance of carbon materials, Si-SiC and Si-SiC-TaB2 coatings were prepared on the surface of graphite materials using graphite block as the matrix, SiC (d50 =10 µm), B4C (d50 =50 µm) and TaC (d50=3 µm) as main raw materials, by the slurry method combined with reactive melt infiltration of Si. The phase composition, the microstructure, and the element distribution of the coatings were studied, the thermal shock resistance of the Si-SiC-TaB2 composite coating from room temperature to 1 600 °C was investigated, and the ablation resistance of the coating on graphite at high temperatures was tested by the plasma flame ablation test (120 and 1 980 s at 2 350 °C, respectively). The results show that: the structure of Si-SiC-TaB2 composite coating is dense, and there is no obvious interface among SiC, TaB2 ceramic particles and Si in the coating. After 20 cycles of thermal shock from 1 600 °C to room temperature, the mass of the coating sample basically increases gradually, and the sample performs good thermal shock resistance. The mass of the Si-SiC-TaB2 composite coated sample increases after 1 980 s of ablation, and the surface is covered with a Ta-Si-O oxidation protective layer containing Ta2O5 and SiO2, which effectively prevents the corrosion of high temperature flame to the interior of the graphite. The mass of the Si-SiC coated sample decreases after ablation, and a damaged SiO2 oxide layer is formed on the surface, and there are clearly visible ablation pits. [ABSTRACT FROM AUTHOR]

In order to identify the single nucleotide polymorphism (SNP) of StDRO1 gene associated with potato root traits, StDRO1 gene coding region of the 110 tetraploid potato genotypes was cloned and sequenced. The association analysis between the StDRO1 SNPs and the major root traits of potato such as surface area, volume, and average diameter were carried out. The results showed that a SNP (G64C) was detected in the second exon of the StDRO1, 10 SNPs (G152A, A214G, A297G, C314T, A337T, T353C, T560A, C577A, C620A, and C625A) were identified in the third exon, and a SNP (T793A) was detected in the fourth exon. The association analysis indicated that in the total root volume, G152A locus of StDRO1 gene showed that GA genotype was superior to GG genotype (P < 0.05). In the average root diameter, C314 locus showed that CC genotype were superior to CT genotype (P < 0.05). In the root surface area, fresh weight, and dry weight, A337T locus showed that AT genotype were better than AA genotype (P < 0.05), while the locus in the average root diameter showed that AT genotype was significantly lower than AA genotype (P < 0.05). The root surface area, root volume, and fresh weight were showed as TC genotype > TT genotype (P < 0.05) in T353C site; the root volume was showed as CA genotype > CC genotype (P < 0.05) in C620A site; the root surface area, root volume, and fresh weight were showed as AT genotype > TT genotype (P < 0.05) in T793A site. In summary, the above six SNPs of StDRO1 genes had a significant impact on potato root traits, and the A337T, T353C, and T793A sites were particularly important. These results provide a basic theoretical reference for subsequent potato root architecture research and genetic improvement, but whether it could be used as a genetic marker for potato root traits need to be further verified by expanding the population sample. [ABSTRACT FROM AUTHOR]

[Objective] This study analyzed the diurnal transpiration of Larix gmelinii stand and its responses to environmental factors to further clarify regulation mechanism of environmental conditions on stand transpiration. [Method] During the growing season of June to August in 2018, trees in the sample plot of L. gmelinii forest were divided into three diameter classes according to diameter at breast height, and one tree was selected for each diameter class. The stem sap flow density was measured by thermal probe technology, and the stand evapotranspiration was obtained by scale expansion. The net solar radiation (Rn), air temperature (Ta), relative humidity (RH) and soil moisture were observed simultaneously. Soil water content (SWC), photosynthetically active radiation (PAR) and other environmental factors as well as response of stand transpiration to environmental factors were analyzed by Pearson correlation analysis, principal component analysis and multiple regression fitting. Based on decoupling connection number (Q) and diurnal variations of transpiration, the dominant period of transpiration was determined by net solar radiation (Rn) and water vapor pressure deficit (VPD). [Result] (1) The daily transpiration of L. gmelinii stands from June to August was 0. 41-1. 44 mm/d, and average daily transpiration was in the order of July (0. 85 mm/d) >August (0. 65 mm/d) >June (0. 64 mm/d). (2) Pearson correlation analysis showed that main environmental factors affecting daily transpiration were Rn, Ta and SWC with absolute correlation coefficients in the order of SWC (0. 657) > Ta(0. 383) >Rn(0. 318). (3) Through principal component analysis, environmental factors affecting transpiration of L. gmelinii stand included plant growth factors (WS, SWC and PAR), water change factors (Rn, RH and SWC), and daily transpiration driving factors (Ta and Rn). The contribution rates of Ta and Rn to transpiration of L. gmelinii stand were in the order of Rn (61. 36%) >Ta(38. 64%). (4) Based on diurnal variations of decoupling connection number and stand transpiration, Rn dominant period was from 05:30 to 13:00 and VPD dominant period was from 13:00 to 02:50 of next day. [Conclusion] The main environmental factors affecting daily transpiration of L. gmelinii stand were Rn and Ta. On diurnal scale, Rn and VPD dominated daily transpiration with different dominant periods. [ABSTRACT FROM AUTHOR]

New energy power generation devices are mostly located in weak power grid areas, where the grid voltage harmonic content is high. Affected by the grid voltage harmonics and switching characteristics, the current of the grid-connected inverter is prone to distortion, which affects the system stability. To solve this problem, a selective harmonic current suppression method based on passivity-based control is proposed for three-phase grid-connected inverters in this paper. Firstly, the Euler-Lagrange (EL) mathematical model of the three-phase grid-connected inverter is established, and the current loop passivity-based controller is designed. Then, combined with the multiple reference frame (MRF) method, an error voltage compensation loop is introduced to independently control the harmonic current. Finally, a simulation model of the system is built and a comparative simulation study is performed with the conventional proportional integral (PI) control and passivity-based control. The simulation results show that the proposed control method which has the advantages of passivity-based control, can effectively suppress the harmonic current of the grid-connected inverter and reduce the design requirements of the filter, thus improving the adaptability of the grid-connected inverter to the weak grid.

Objective To summarize the treatment experiences and surgical measure and efficacy of spinal hemangioblastoma. Methods and Results The surgical experiences of 7 patients with spinal hemangioblastoma from February 2012 to February 2017 in Tianjin Huanhu Hospital were analyzed retrospectively. Spinal MRI showed occupying lesion, empty vessel signals and syringomyelia (SM), with enhancement, All patients underwent microsurgical resection, and total resection was achieved (total excision in 5 cases and focus of responsibility total resection in 2 cases). Pathological examination confirmed hemangioblastoma. After operation, 6 cases improved, one case had no change, and no one died. During follow-up period, 5 cases was McCormick Scale -, one was McCormick Scale II, and one was McCormick Scale -. No tumor recurrence was found. Conclusions The spinal hemangioblastoma is highly vascularized benign intramedullary tumors that can be cured surgically under microscopy. [ABSTRACT FROM AUTHOR]

An intelligent mechanical vehicle system based on synchronous control of human arm is designed. This system uses a low-power heterogeneous multi-processor and multi-core electromechanical system. The system adopts low-power heterogeneous multi-processor and multi-core electromechanical system, and through optimized game engine human-computer interactive graphical control interface, supplemented by wearable EMG signal and arm attitude sensor, it can control the movement of intelligent vehicle, synchronous extension of the arm and grasping of the manipulator by gesture and arm attitude wireless remote control. As a result, the vehicle-borne high-speed lidar system and camera system are realized. In complex and unknown environment, the location of the remote control locomotive, fast reconstruction of two-dimensional and three-dimensional scene, seamless switching display are realized. The experimental results show that the system has good robustness and real-time performance, which meets the application requirements and has good application prospects. [ABSTRACT FROM AUTHOR]