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Introduction Postoperative analgesia in elderly patients is still a thorny problem. Ultrasound-guided oblique subcostal transverse abdominis plane block (TAPB) has been demonstrated to provide postoperative analgesia after abdominal surgeries. However, recent studies have suggested that an alternative method, erector spinae plane block (ESPB), might also be effective. In this study, we compared the postoperative analgesic effects of ESPB and TAPB in elderly patients who had undergone laparoscopic colorectal surgery. Methods Sixty-two elderly patients (≥ 65 years old) scheduled for elective laparoscopic colorectal surgery with general anesthesia were randomly allocated to two equally sized groups: ESPB group and TAPB group. The ESPB group had a bilateral erector spinae plane block, and the TAPB group had a bilateral oblique subcostal transverse abdominis plane block. The primary outcome was visual analogue scale (VAS) pain score during the first 24 postoperative hours at resting and active states. The secondary outcomes were postoperative consumption of sufentanil, satisfaction score, the number of patients who required antiemetics, incidence of block-related complications, and other side events. Results There were no demographic differences between two groups. Compared to the TAPB group, the ESPB group had lower VAS pain scores and sufentanil consumption during the first 24 postoperative hours. Additionally, ESPB reduced the occurrence of postoperative nausea and vomiting. Furthermore, the satisfaction score was higher in the ESPB group. No other complications were reported between the two groups. Conclusions Compared with oblique subcostal TAPB, ESPB more effectively reduced postoperative pain and opioid consumption. Thus, ESPB is suitable for postoperative analgesia in elderly patients who have undergone laparoscopic colorectal surgery. Trial Registration Chinese Clinical Trial Registry: ChiCTR2000033236. Supplementary Information The online version contains supplementary material available at 10.1007/s40122-021-00329-x.

Introduction: Although the transurethral resection of the prostate (TURP) has been regarded as the gold standard surgical option for lower urinary tract symptoms due to benign prostatic hyperplasia...

A dispersive atomic fluorescence spectrometer based on a UV digital micromirror device (UV-DMD-AFS) has been proposed by our team for attenuating spectral and scattering interferences. Software is nontrivial for the automation of component control and sample analysis in the new instrument. In this work, the software was developed using the C# programming language together with multi-threading and combined with the SQLite database, which consists of component control and data acquisition, database, wavelength initialization, and real-time interference reduction module. To realize the accurate analysis of the trace heavy metal concentration, the spectral interference was avoided by measuring the non-interference wavelength, and the scattering interference was eliminated by the real-time proportional coefficient method. The microsecond rotation speed of the DMD is the key to achieving real-time reduction. The concentration of arsenic in Water Quality (GSB 07-3171-2014) was detected to validate the practicability of the software with the concentration deviation of 0.02 ng/mL.

Investigations of the magnetic signature for ferromagnetic objects are extremely important in many areas. Some famous software can calculate the magnetic signature generated by the 3D ferromagnetic objects in motion, but they require tremendous computational time and large numerical resources. Therefore, we propose a simulation method whose core idea is to approximate the ferromagnetic object by a collection of magnetic dipoles whose placement is identified with the tool path information generated by 3D printing software and calculate the magnetic signature of the ferromagnetic object using the superposition principle. In view of the fact that each particle of a rigid body has the same laws of motion while the body moving and rotating in 3D space, coordinate translations, and rotations are used to implement the six-degrees-of-freedom movement of ferromagnetic objects. The simulations with a static object and objects in motion in the application of the magnetic test for a satellite validate the correctness of the proposed method. The evaluation of magnetic interference of a survey ship demonstrates the effectiveness. The method is easy to implement and has strong practicability and powerful expansibility.

Aiming at the problems of the low automation level of distribution network, the limited available monitoring data and the difficulty in fault location, this paper proposes a fault location method based on sequence current matching idea, which only uses the monitoring data of the first end of feeder in substation to realize fault location. The fault branch is located by matching the actual fault data with the data in node fault library. And then calculate the fault distance using the curve function of the fault branch, the fault distance is determined and the actual fault point is found. The analysis of an example shows that this method has a good positioning effects.

Using prediction-aware label assignment to choose positive samples has proven to be the key to remove Non-maximum Suppression (NMS) and reach end-to-end object detection. However, existing prediction-aware label assignment methods combine the classification cost and localization cost simply by multiplication or addition. It might produce unstable assignment results since the classification cost and localization cost are used independently to assign labels, and thus degrades the detection accuracy. In this paper, we propose a classification-IoU joint label assignment that takes advantage of the correlation between classification and localization to choose positive samples. In particular, we add category and localization consistency constraints to the cost function for label assignment, and improve the stability of label assignment. Besides, a classification-IoU joint representation is applied to improve the correlation between classification and localization in the process of training. It is trained by the loss function that considers classification and location quality simultaneously. Extensive experiments demonstrate the effectiveness of our method. On COCO dataset, the end-to-end object detector with the techniques we proposed, achieves competitive performance against the state-of-the-art object detectors.

The dynamic characteristics of concrete are the key point of the dam seismic safety design. In order to study the dynamic characteristics of concrete, a CT scan test of concrete under dynamic load was carried out; CT scan images of the concrete loading process were obtained. Based on the definition of integrity, integrity area, and intercepted sections in the quantitative zoning theory, the concrete CT images were divided into the hole or crack area ( P 0 − λ 1 ), hardened cement stone area ( P λ 1 − λ 2 ), and aggregate area ( P λ 2 − 1 ). And the determination method of partition threshold is studied. Then, based on the CT resolution unit, a concrete numerical calculation model of structural random is established, and the numerical simulation experiment of concrete under uniaxial dynamic load is carried out. The results show that the concrete numerical calculation model of structural random is very close to the actual mesostructure of concrete, and the interface thickness between aggregate and hardened cement is very close to the actual interface thickness (which is 40~50 μm). Under the action of dynamic load, the damage of the sample is mainly concentrated in the upper part of the sample, and the damage is easy to occur at the initial defect place, and the damage occurs at multiple points at the same time. The damage crack is relatively straight, the phenomenon of the crack passing through the aggregate is obvious, and the crack expands along the fastest path of energy release.

With the rise of "Internet +" economy in the new era, the outbreak of COVID-19 has led to the emergence and gradual growth of the special group of online contract workers, which has led to the evolution of some complex labor relations. In the face of this dilemma of identity, the traditional labor relations are also changing. Based on the research paradigm of identity theory, summarizes the related concepts of "online contract workers", in a social environment of this group is discussed the development of labor relations, analyzes its characteristics and existing problems, find help "online contract workers' labor relationship reconstruction countermeasures and Suggestions of the new age has certain reference significance to the improvement of employment quality.

IntroductionAs people age, they are more likely to experience a decline in their response inhibition ability, which interferes with daily life. Previous studies have shown that exercise intervention can improve the cognitive ability of the elderly, but research on open-skill and closed-skill exercises to improve the response inhibition in this age group is still limited. This study will explore the advantages of long-term intervention of table tennis (open-skill exercise) compared with fit aerobics (closed-skill exercise) on the response inhibitory ability of the elderly.Methods and analysisA single-blind randomised controlled trial will be conducted. A total of 90 elderly subjects will be recruited and allocated randomly to the following groups: table tennis, fit aerobics and control. The interventions for the table tennis group and the fit aerobics group will be implemented in three 60 min sessions per week for 6 months; the control group will receive no exercise intervention. The primary assessment will be behavioural indicators of response inhibitory ability in the elderly based on the stop signal task. The secondary outcomes will include cognitive ability, mental status and depression in the elderly. Assessments will be conducted at baseline, 3 months, 6 months and 12 months.Ethics and disseminationThis study was approved by the Shanghai University of Sport Research Ethics Committee (102772019RT012) and will provide reference for the advantages of table tennis compared with other types of sports in improving the response inhibitory ability of the elderly. The results of this study will provide a theoretical basis for choosing the best exercise programme to improve the response inhibitory ability of the elderly.Trial registration numberThis study has been registered prospectively in the Chinese Clinical Trial Registry (ChiCTR2100043616, 23 February 2021).

All-oral direct-acting antiviral therapies are becoming the choice for hepatitis C (HCV) treatment. In this study, we aimed to evaluate the efficacy and safety of ritonavir-boosted danoprevir (DNVr) plus sofosbuvir±ribavirin on HCV genotype 1, 2, 3, or 6 in the real world in China. In this observational, prospective, multicenter cohort, we enrolled a total of 58 patients with HCV genotype 1, 2, 3, or 6 patients from July 2018 to December 2019. All patients were treated with DNVr plus sofosbuvir ± ribavirin for 12 weeks and then followed up for 12 weeks. The primary endpoint was the rate of sustained virologic response at week 12 after the end of treatment (SVR12). The secondary endpoint was virologic response rate at end-of-treatment and adverse event outcome. Of the 58 patients who were enrolled, 5.2% (n = 3) had genotype 1a; 43.1% (n = 25) had HCV genotype 1b; 17.2% (n = 10) had genotype 2a; 5.2% (n = 3) had genotype 3a; 8.6% (n = 5) had genotype 3b; and 20.7% (n = 12) had genotype 6a. The virologic response rate at end-of-treatment was 100% (58/58). The HCV-RNA results of 5 patients were absent at week 12 after treatment. Among the 53 patients, SVR12 rate achieved 100% (53/53) with DNVr plus sofosbuvir ± ribavirin treatment in patients with HCV genotype 1b, 2a, 3, and 6a. For compensated cirrhosis and noncirrhosis patients, SVR12 was 100% with DNVr plus sofosbuvir ± ribavirin treatment. No serious event was observed during the treatment and follow-up. Only 5 patients had mild adverse events. DNVr plus sofosbuvir ± ribavirin for 12 weeks provided 100% SVR12 in a broad patient population and were well tolerated, which may be a promising regimen for CHC treatment.

The multi-lateral shearing interferometers (multi-LSIs) are featured in the improved accuracy and noise resistance of wavefront reconstruction using phase differences in multiple directions. Nowadays the multidirectional phase differences are usually extracted from multi-LSIs’ interferogram using the fast Fourier transform (FFT) method, whose accuracy is limited by spectral leakage effect. To improve the measurement accuracy of multi-LSIs, a phase extraction method developed from moire technique is proposed in this paper. Using virtual gratings with properly large carrier frequencies, the desired phase information in each of the multiple directions can be modulated into low-frequency domain of the corresponding moire pattern with larger separations between unnecessary side lobes. In this way, low-pass filters with higher cut-off frequencies can be applied in moire technique to reduce the inaccuracy induced by spectral leakage effect. Meanwhile, phase shifting method can be applied to extract phase information from a single fringe pattern with better noise resistance by easily introducing phase shifts in computer generated virtual gratings. Simulation results show that the proposed method has higher accuracy and better anti-noise performance than the FFT method when spectral leakage effect exists. To demonstrate accuracy of the proposed method, a null test experiment of the quadriwave LSI has been conducted and experimental results show that measurement accuracy of the quadriwave LSI can be significantly improved by substituting the FFT method with the proposed method in phase extraction process.

Gas insulated switch-gear (GIS) is an important equipment in power systems and is widely used in high voltage and ultra-high voltage applications. Partial discharge (PD) is one of the main causes of the failure of GIS. Ultrasonic method is an effective means to detect PD of GIS. It can conduct live detection on GIS to evaluate its insulation state. The existing ultrasonic PD detection method generally needs the power supply and the electronic measuring instrument. The signal diagnosis is inconvenient, and the need of professional knowledge of the inspectors is relatively high. In this paper, based on ultrasonic PD detection method, combined with wireless communication technology, a novel portable PD detection device is developed. It is easy to carry, and has signal processing function, can upload data to the terminal, which is convenient for the inspectors to make diagnosis. The test results show that it is stable and reliable, and can locate the PD, which fully improves the efficiency of PD detection.

An improved NSCT of infrared and visible light image fusion method is proposed, which aims at the problem of low contrast between target and background in infrared and visible light fusion images. Firstly, the infrared and visible images are preprocessed respectively. Secondly, the morphological Top-hat operator is used to suppress the background of the image. According to the contrast between the target and the surrounding background, the salient region of interest is segmented. Finally, the high frequency and low frequency components of the visible and infrared images are obtained by NSCT transform. Then, different fusion strategies are designed in the salient and non-salient regions to fuse the low-frequency coefficients and high-frequency coefficients. Experimental results show that compared with other algorithms, the fusion image obtained by this method enhances the contrast between the thermal target and the background, while retaining the details of the background information, more in line with human visual perception.

INTRODUCTION AND OBJECTIVES:To assess whether the recovery of urinary continence after holmium laser enucleation of the prostate (HoLEP) is associated with preoperative magnetic resonance imaging M...

To reduce power-hungry floating point operations and memory accesses in deep neural networks, quantized neural networks are proposed that replace floating point multiplications with simplified reduced-precision operations. To compensate for the accuracy loss due to the high degree of quantization, wider neural network layers with three or more times as many feature maps are employed. One by-product from these inflated layers is increased redundancy in the network. To further improve computational efficiency and leverage this inherent redundancy, we propose a joint optimization approach that simultaneously explores hardware-oriented training and efficient accelerator implementation of binary neural networks (BNN) in FPGAs. More specifically, our SparseBNN method consists of two parts. First, SparseBNN-SW is a training algorithm developed to enhance the structured sparsity of BNNs by 1) training for zero-valued ternary weights instead of binary that are more amenable to pruning and 2) regulating the sparsity for more efficient hardware deployment. Next, we present SparseBNN-HW, an accelerator architecture designed to directly execute the inference on the sparse-encoded format to save both memory access and computations. Experimental results on various representative datasets demonstrate that SparseBNN improves the power efficiency (GOPS/Watt) and resource efficiency (GOPS/kLUT) over the baseline BNN FPGA implementation by 1.70X and 2.22X.

Personalized recommendation systems leverage deep learning models and account for the majority of data center AI cycles. Their performance is dominated by memory-bound sparse embedding operations with unique irregular memory access patterns that pose a fundamental challenge to accelerate. This paper proposes a lightweight, commodity DRAM compliant, near-memory processing solution to accelerate personalized recommendation inference. The in-depth characterization of production-grade recommendation models shows that embedding operations with high model-, operator- and data-level parallelism lead to memory bandwidth saturation, limiting recommendation inference performance. We propose RecNMP which provides a scalable solution to improve system throughput, supporting a broad range of sparse embedding models. RecNMP is specifically tailored to production environments with heavy co-location of operators on a single server. Several hardware/software co-optimization techniques such as memory-side caching, table-aware packet scheduling, and hot entry profiling are studied, providing up to $9.8 \times$ memory latency speedup over a highly-optimized baseline. Overall, RecNMP offers $4.2 \times$ throughput improvement and 45.8% memory energy savings.

In this paper we present a novel semi-direct tracking and mapping approach for RGB-D cameras, which inherits the advantages of both direct and feature-based methods, and achieves high accuracy and robustness. The proposed method comprises three threads: tracking, local mapping and loop closing. In the tracking thread, the input RGB-D frames are tracked with a direct method and refined by minimizing geometric error. Since RGB-D cameras can obtain depth maps directly, we take both appearance and depth information into account for feature extraction and matching, that improves the tracking accuracy of the approach. The local mapping is performed to process new keyframes and refine the local map for improving the local consistency of SLAM. The loop closing detects and corrects loops, so that the consistent SLAM map can be obtained. Experiments on two benchmark datasets show that our approach performs well in scenes with low-texture and large moving objects, and obtains results with high accuracy.

Acute ischemic stroke is a common and serious neurological disease. Oxygen therapy has been shown to increase oxygen supply to ischemic tissues and improve outcomes after cerebral ischemia/reperfusion. Normobaric hyperoxia (NBO), an easily applicable and non-invasive method, shows protective effects on acute ischemic stroke animals and patients in pilot studies. However, many critical scientific questions are still unclear, such as the therapeutic time window of NBO, the long-term effects and the benefits of NBO in large clinic trials. In this article, we review the current literatures on NBO treatment of acute ischemic stroke in preclinical and clinical studies and try to analyze and identify the key gaps or unknowns in our understanding about NBO. Based on these analyses, we provide suggestions for future studies.

Based on the operation and energy consumption calculation data of 300MW subcritical steam drum furnace in a plant, the energy consumption variation characteristics of the unit under various working conditions were analyzed. It was found that the coal consumption of the unit was about 40g/kWh higher than the rated load during low load peaking operation. The boiler efficiency was not significantly reduced during low-load operation, but the main and reheat steam temperatures were significantly reduced, resulting in a significant decrease in the efficiency of the high and medium pressure cylinders of the turbine. In addition, the analysis found that high auxiliary power consumption rate was also an important factor affecting low load energy consumption during low load operation.

In this paper, combined with experiments and theoretical calculations, the effect of urban low-calorific value sludge on the slagging characteristics of easy-slagging coals is studied. The results show that when the melting point of sludge ash is lower than that of coal ash, the ash melting point of the mixture after the two blends will be lower than the melting point of raw coal ash. When SiO2 and Al2O3, which are relatively high in sludge, are used as single additives, the ash melting point of coal will first decrease and then increase. As the mixing ratio of sludge increases, coal ash slagging characteristics show a trend of gradual relief. For coals that are prone to slagging and rich in alkali metals, they can be appropriately mixed with sludge rich in silicon and aluminum compounds or additives to improve Slagging characteristics.

Coherent X-ray diffraction imaging (CDI) method is a powerful X-ray imaging technique with high resolution up to nanometer scale. Most of the synchrotron radiation facilities and free electron laser facilities are equipped with this state-of-the-art imaging technique and have made many outstanding achievements in multiple scientific areas. Up to now, although scanning CDI (ptychography) method based on a soft X-ray source has been opened to users, the hard X-ray CDI experimental platform has not been built at Shanghai Synchrotron Radiation Facility (SSRF) which can research some relatively thick specimens and easily extend to three-dimensional imaging. As some new beamlines with undulator source were put into operation recently, it is possible and feasible to build up the CDI experimental platform with hard X-ray. In this article, we report the hard X-ray CDI experimental platform development process and preliminary experimental results of coherent diffraction pattern and image reconstruction at SSRF. Based on the operating BL19U2 biological small-angle X-ray scattering (SAXS) beamline at SSRF, the hard X-ray coherent beam is obtained through effective optical path designation at 12 keV and 13.5 keV. The hard X-ray optimization includes tuning several slits, double crystal monochromator (DCM), horizontal deflection mirror, focusing mirror system and pinhole, etc. Furthermore, hard X-ray CDI experiments are conducted. The spatial coherent length of the incident beam is also measured from the pinhole diffraction pattern. This platform can provide both conventional mode and scanning mode (ptychography) for the coherent diffraction imaging method, and the correct image reconstruction from the experimental diffraction patterns proves that the platform has the experimental capability for hard X-ray CDI. In the conventional forward scattering CDI mode, coherent diffraction patterns of pinhole are collected and used to analyse the coherence property of the optimized X-ray beam. The structure of pinhole is also reconstructed from the diffraction pattern. In the scanning CDI mode, a zone plate is used as a sample. The central area of zone plate is reconstructed correctly. About 90 nm/pixel resolution of reconstruction is achieved which is extremely dependent on the X-ray flux density from the undulator source emission. Hard X-ray CDI experimental platform based on the synchrotron radiation facility is first built in China. It will provide effective software and hardware supporting for the development and application of hard X-ray CDI experiments in China in the future.

As the demand for renewable energy access to the grid grows gradually, the peaking function of thermal power unit in grid system is increasingly highlighted. This paper analyzed the security problems of thermal power unit load, and to carry out the load test at 8 units. We analyzed the safety index, including hearth negative pressure fluctuations, water-cooled wall temperature, axial displacement of turbine, and found that some existing units can achieve 60%-70% peaking capacity without flexibility transformation. The negative pressure of some units fluctuates greatly, which reflects the poor stability of the boiler in the low load stage.

The paper studies a new calibration method based on the framework of automatic test system. The method uses IVI (Interchangeable Virtual Instruments) as the hardware basis of the system to discuss the fast and intelligent automatic calibration of the test equipment. It intelligently analyzes the correlation of system parameters for highly complex calibrated instruments using a stepwise regression, and accurately selects high correlation factors for the calibration of each parameter. And it performs accurate multistage segmentation of the calibrated parameters using the M5 model tree algorithm to ensure calculating the linear regression equation under the least mean square and realizing the fitting and calibration of each parameter; and calibration results are then configured as a file to the folder set by the calibrated instrument to replace the original calibration file. It does not require highly experienced engineers to perform a large number of analyses, but automatically tests, autonomously analyzes, automatically calculates, generates and gives calibration files. The system is fast, intelligent, and efficient. In the paper, the self-made pulse generator is taken as an example, and the amplitude of the pulse generator is calibrated. The calibrated system error is less than 1.5%.

In the field of digital testing, the capacity of test data sets has grown rapidly. It is difficult for a single data generating device to take into account various test requirements. The large capacity data sets that are made up of multiple data source devices is becoming the development mainstream. In the integrated system, the key to improving test efficiency of the system is to efficiently and quickly generate the large-capacity data sets. Based on the Huffman algorithm and command transmission, the author proposes a software processing method, which achieves the goal of collaborative editing and data synthesis of multiple data generators, and it successfully applies to the efficient synthesis and processing of 96-channel and 5Gbits ultra-large capacity data sets.

With the development of energy Internet, the Micro Energy Grid, which includes various forms of energy, including gas, electricity, cold and heat, has developed rapidly. The application of energy storage technology can greatly improve the energy efficiency and reliability of Micro Energy Grid . In this paper, conventional storage technologies such as heat storage, hydrogen storage, electric vehicles and electrochemical energy storage are introduced, and the idea of energy storage technology based on energy hub is put forward.

The intrinsic error tolerance of neural network (NN) makes approximate computing a promising technique to improve the energy efficiency of NN inference. Conventional approximate computing focuses on balancing the efficiency-accuracy trade-off for existing pre-trained networks, which can lead to suboptimal solutions. In this paper, we propose AxTrain, a hardware-oriented training framework to facilitate approximate computing for NN inference. Specifically, AxTrain leverages the synergy between two orthogonal methods---one actively searches for a network parameters distribution with high error tolerance, and the other passively learns resilient weights by numerically incorporating the noise distributions of the approximate hardware in the forward pass during the training phase. Experimental results from various datasets with near-threshold computing and approximation multiplication strategies demonstrate AxTrain's ability to obtain resilient neural network parameters and system energy efficiency improvement., Comment: In International Symposium on Low Power Electronics and Design (ISLPED) 2018

Although widely deployed in recent years, the IPv6 protocols still have many security problems, especially the Man-In-The-Middle Attack in LAN (Local Area Network). In this paper we present an Address Forging and Data-Gram Forwarding based IPv6 Man-In-The-Middle Attack testing system to help user aware the security risks in IPv6 Networks.

Reactive power control of hybrid DC asynchronous interconnection system has a vital impact on the safety, reliability and high quality of AC/DC power transmission system. The LCC-HVDC unit and MMC-HVDC unit share the same station control system in the hybrid DC asynchronous interconnected system. Firstly, this paper studies the reactive power switching control of LCC-HVDC system, including five subfunctions and control strategies of the reactive power switching control. Secondly, the reactive power auxiliary control of LCC-HVDC system including low load reactive power regulation function and Gamma-Kick function is studied. And the shortcomings of using reactive power auxiliary control are pointed out. Finally, the reactive power control of MMC-HVDC system is deeply studied. The mathematical model of MMC-HVDC control system is established. Reactive power control of MMC-HVDC can be used to replace reactive power auxiliary control of LCC-HVDC to improve the converter utilization and service life

II-oxides wide-bandgap semiconductor, including the beryllium oxide (BeO), magnesium oxide (MgO), zinc oxide (ZnO), have large exciton binding energy (ZnO 60 meV, MgO 80 meV), high optical gain (ZnO 300 cm–1) and wide tunable band gap (3.37 eV ZnO, MgO 7.8 eV, BeO 10.6 eV), which are the advantages of achieving low-threshold laser devices in the ultraviolet wavelength. It is also one of the important candidates to replace the traditional gas arc lamp (such as mercury lamp, deuterium lamp, excimer lamp, xenon lamp etc.) as the source of deep ultraviolet and even vacuum ultraviolet. Although, during the past decades, the ZnO-based pn homojunction devices have made great progress in the near-UV electroluminescence, but as the band gap broadens, the acceptor (or donor) ionization energy becomes higher (On the order of hundreds meV), which causing the room temperature equivalent thermal energy (26 meV) cannot make the impurities ionizing effectively. In addition, the self-compensation effect in the doping process further weakens the carrier yield. These above drawbacks have become the bottleneck that hinders II-oxides wide-bandgap semiconductor from achieving ultraviolet laser devices and expanding to shorter wavelengths, and are also a common problem faced by other wide-bandgap semiconductor materials. The regulation of the electrical and luminescent properties of materials often depends on the control of critical defect states. The rich point defects and their combination types make the II-oxides wide-bandgap semiconductors an important platform for studying defect physics. For the identification and characterization of specific point defects, it is expected to discover and further construct shallower defect states, which will provide a basis for the regulation of electrical performance. In this paper, recent research results of II-oxides wide-bandgap semiconductors will be described from three aspects: high-quality epitaxial growth, impurity and point defects, p-type doping and ultraviolet electroluminescence. Through the overview of related research works, II-oxides wide-bandgap semiconductors are clarified as deep ultraviolet light sources materials. Meanwhile, indicates that the key to the regulation of electrical performance in the future lies in the regulation of point defects.

Objective: To understand whether non-pharmacological treatment can reduce intensive care units. Methods: A review was conducted by searching the literature in the CINAHL, PubMed, PsycINFO, and EMBASE database. The prevalence of sputum in the ICU is 16%-89%. It is characterized by short-term memory loss, disorientation and impaired attention. There are three types of sputum, including hyperactivity, hyperactivity, and mixing. Both pharmacology and non-pharmacology include ABCDE care bundles, sedation, early mobilization, promotion of personal sleep quality, reduced noise and artificial lighting, and patient education. Music therapy as a non-pharmacological intervention has not been fully studied. CONCLUSIONS: Non-pharmacological treatment of sputum in the ICU remains an effective method because it eliminates the use of sedatives. However, this depends on the health of the patient, such as vision and hearing impairment. Exploring the effectiveness of music therapy for this condition will help to further improve the multi-component approach, which requires a combination of non-pharmacological interventions to promote patient health.

Objective: To discuss the application of the Standardized Management System in Intensive Care Units (ICU) for specialist nursing and the effectiveness of this system in improving working performance within the unit. Methods: Specialty nurses were trained by the Standardized Management System that is a series of goal, position, and responsibilities setting. In addition to this development, a standardized method for evaluation is implemented. The affection was evaluated through the Quality Inspection Approach, Teaching Research, Clinical Data, and Job Satisfaction Questionnaire. Results: In terms of Quality of Care and Teaching Satisfaction, we have the best scores within the hospital. Specialty ICU nurses carried out seventeen new technological and research techniques with great success and did much the practice of detailed care within the clinic. In addition, due to the attention and care provided by the ICU Nurses, these nurses received a higher satisfaction score than any other department. (4.331±0.669 vs. 3.607±0.402，P=0.001). Conclusion: The specialty nurses with the Standardized Management System were showed improved ICU quality care and teaching level. In addition, the application of the Standardized Management System instilled a greater level for the development of ICU nursing Furth more, the specialty nurses was well satisfied with their jobs.

Background Health education has been considered as the effectiveness method to increase the self-care skills of diabetes patients. However, limited studies to investigate the association of health education via Wechat platform on increased the basic self-care skills and glycemic control rate in patients with type 2 diabetes. Methods A total number of 120 type 2 diabetes patients were randomized into intervention (health education by Wechat platform plus usual care) and the control group (usual care). Biochemical parameters including fasting plasma glucose (FPG), 2-hour plasma glucose (2hPG), glycosylated hemoglobin A1c (HbA1c) were measured among the 2 groups at baseline 6-month and 12-month. Diabetes Management Self-Efficacy (SE) Scale was completed at baseline 6-month and 12-month. Results Significant difference of HbA1c concentration and SE were found between intervention and control groups at 6-month and 12-month (P .05). Conclusion Health education of diabetic individuals via Wechat platform in conjunction with conventional diabetes treatment could improve glycemic control and positively influence other aspects of diabetes self-care skills.

Statistical analysis for the data of HC mine gas emission rate by using grey relational analysis method, the index system effecting on mine gas emission factors are established with the method and the relational degrees between the factors and mine gas emissions are analyzed. The main factors effecting on mine gas emission are determined based on the size of relational degree by the quantitative analysis. The results show that the method is simple, and provides more flexibility to comprehensive analysis of the statistical data, and overcome the shortcomings of a different dimension data can not find regular. Its useful to find the main control factors effecting on mine gas emission.

Objectives We compared the correlation of regulatory T cell (Treg) and Th17 cell function disequilibrium with calcification in uremic patients on maintenance hemodialysis (MHD) with healthy controls, and investigated if their influence possibly increased the development and outcome of cardiovascular complications in uremic patients after MHD. Methods The extent of coronary artery calcification was assessed by coronary artery calcification scoring (CACS) in uremic patients with and without adverse cardiovascular events after MHD (MHD group 1 vs. MHD group 2, respectively). Peripheral blood mononuclear cells were incubated with rhBMP-2 as positive control. The Treg/Th17 cell frequencies, Foxp3 ROR-γt mRNA expressions, and MIP 3α/CCL20 concentrations were measured. Results The CACS score was significantly higher in MHD group 1 as compared group 2. In comparison with controls, rhBMP-2 upregulates Treg/Th17 functional disequilibrium in uremic patients, displayed higher Treg and Th17 frequencies, Foxp3 and ROR-γt expressions, and MIP3α/CCL20 concentrations. However, the up-regulations of Treg frequencies and Foxp3 expressions were significant in controls but not in MHD patients. It was also observed that Treg/Th17 functional disequilibrium was not only correlated with rhBMP-2 state but also consistent with the cardiovascular complications. Moreover, the CACS was negatively correlated with Treg cell frequencies but positively correlated with Th17 cell frequencies and MIP3α/CCL20 concentrations. Conclusions Function disequilibrium of Treg/Th17 was related to the degree of the rhBMP-2 state. Function disequilibrium of the Treg/Th17 might act synergistically with rhBMP-2 in the high incidence of immune-mediated cardiovascular complications after MHD.