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In this study, three-probe error separation was developed with three chromatic confocal displacement sensors for roundness measurement. Here, the harmonic suppression is discussed first to set suitable orientation angles among three sensors. Monte Carlo simulation is utilized to test the error separation and optimize the orientation angles and off-axial distance. The experimental setup is established using chromatic confocal sensors with a precise rotary platform. The experimental results show that the measured roundness with an orientation-angle combination of (0°, 90.1°, and 178.6°) is much better than that of another nonoptimal selection (0°, 90.4°, and 177.4°). The roundness error is only 0.7% between the proposed measurement system and an expensive ultraprecision roundness meter. Furthermore, it is proven that the eccentricity distance should be decreased as small as possible to improve the measurement accuracy. In sum, this paper proposes a feasible method for roundness measurement with reliable simulations, easily integrated sensors, and an ordinary precision rotary platform.

Purpose: Recent research has shown that hypomagnesemia is associated with increased all-cause mortality in hemodialysis patients. However, the relationship between the long-term prognosis of peritoneal dialysis (PD) and the study is not yet clear. This study will analyze the effects of hypomagnesemia on all-cause, cardiovascular diseases (CVD), and non-CVD mortality in PD patients. Method: In a retrospective cohort study, 1,004 samples were selected from 7 PD centers in China. Based on the baseline blood magnesium level at the beginning of stable dialysis, all patients were classified into blood magnesium 1.2 mmol/L group (the end event was death). The Kaplan-Meier method was used to calculate the difference in cumulative survival rate; the Cox proportional hazard model was used to analyze the risk factors of all-cause, CVD, and non-CVD death causes. Results: Cox multiple regression analysis results (reference comparison of 0.7–1.2 mmol/L group): patients with serum magnesium p = 0.001), and it is also obvious after correction by multiple models (HR = 1.578, 95% CI: 1.196–2.083, p = 0.001). Subgroup analysis of the causes of death was as follows: CVD risk (HR = 1.628, 95% CI: 1.114–2.379, p = 0.012) and non-CVD risk (HR = 1.521, 95% CI: 1.011–2.288, p = 0.044). Further analysis of the causes of infection-related death in non-CVD is also significant (HR = 1.919, 95% CI: 1.131–3.1257, p = 0.016). On the other hand, the serum magnesium>1.2 mmol/L group had lower all-cause mortality after correction (HR = 0.687, 95% CI: 0.480–0.985, p = 0.041), and subgroup analysis of the cause of death had no statistical significance (p > 0.05). Conclusions: Hypomagnesemia (serum magnesium

Objectives:To investigate the communication mechanism between international students and Chinese physicians by evaluating the influence of the transaction process on patient satisfaction, self-rating anxiety and self-efficacy.Methods:A cross-sectional survey was conducted among international students living in Central, Northern and Eastern China; enrolled at Chinese universities and experienced outpatient and inpatient healthcare services. Guided by the elements of King's transaction process: IR, Initiating and Responding; IP, Identifying Problems; MGS, Mutual Goal Setting; and EM, Exploring means and agreeing on means to achieve goals. We used spearman correlation analysis to calculate the correlation of the variables: patient satisfaction, self-efficacy, transaction process, IR, IP, MGS, and EM and regression analysis to measure the influence of transaction process on patient satisfaction, self-rating anxiety and self-efficacy.Results:Four hundred and four (404) participants were investigated for this study. The results of correlation analysis showed that there was a significant positive correlation among patient satisfaction, self-efficacy, transaction process, IR, IP, MGS, and EM (p< 0.05). Regression analysis showed that the higher scores of IR (β = 0.176,p= 0.003) and MGS (β = 0.249,p= 0.002) was associated with the higher score of patient satisfaction; the higher the score of IR and IP was associated with the higher self-efficacy score (β = 0.148,0.225;p= 0.016,0.001); and higher the MGS score was associated the lower the self-rating anxiety (β = −0.220,p= 0.022).Conclusion:The influence of transaction process on patient satisfaction, self-rating anxiety and self-efficacy between Chinese physicians and international students (Patients) was established. Findings support the urgent implementation of tools at healthcare facilities to improve the communication between Chinese doctors and international students, therefore improving patient satisfaction and self-efficacy, and reducing anxiety.

A large proportion of new energy sources, such as wind and solar energy, are unable to be directly connected to the grid owing to their instability characteristics. To solve this problem, power storage technologies, such as large-scale compressed air energy storage (CAES) technology, have become more important and are playing an increasingly important role. Liquefied air energy storage (LAES) technology is a new type of CAES technology with high power storage density, which can solve the problem of large air storage devices that other CAES systems need to configure. In this study, thermodynamic models of the main components of an LAES system are first established, and the main components of the system are analyzed and optimized. On this basis, the thermodynamic model of an LAES system is established, and the thermodynamic analysis of the system is carried out by means of exergy analysis. The analyzed results show that an LAES system configured with four-stage compression and four-stage expansion has good comprehensive thermodynamic performance. The storage pressure and release pressure of the system are determined to be 15 and 7.1 MPa, respectively, and the air temperature before the pressure-reducing valve of liquefaction is 93 K. Increasing the adiabatic efficiency of main components of the LAES system can reduce their exergy loss, thereby reducing the exergy loss of the whole system and improving its energy storage efficiency.

In this study, the stability and specificity of a counterfeit protection system (CPS) code were determined. This research involved an analysis of a counterfeit protection system code unit over time using the pattern location measurement method. We collected 379 sample sheets from 196 printers or photocopiers, covering 14 original brands, including 129 models. There was an interval of at least two months between the collections of samples from each machine. Four types of characteristics were established: CPS pattern unit, distance of the CPS unit, position of dots, size and shape of the dot. Except for the partial changes in the Xerox brand, no other brand exhibited changes over time. This implies that the CPS characteristics are stable. Meanwhile, no correlation was noted between the combinations of the characteristic systems in the collected samples, which implied strong specificity.

The first 10-kV regional compensation dynamic voltage restorer (DVR) has been installed in a 110-kV substation in Shenzhen power grid, to protect plenty of sensitive loads in a wide area si...

In this Letter, we demonstrate a passive all-fiber pulse delay method for repetition rate multiplication of dual-comb spectroscopy. By combining a cascaded Mach–Zehnder interferometer and digital error correction, a mode-resolved spectrum with improved acquisition speed and sensitivity can be obtained. This technique has the strengths of compact, broadband, high energetic efficiency, and low complexity. Due to the use of an adaptive post-processing algorithm, sophisticated closed-loop feedback electronics are not required, which provides a simple and effective scheme to break through the physical limitation of the repetition frequency of the frequency comb for phase-stable dual-comb applications.

In recent years, structured light measurement technology has been widely used in rail profile measurement. Due to the small depth of field of the conventional rail profile measurement with linear structured light, the imaging problem of defocusing blur occurs in the area of rail waist and rail bottom, which leads to low accuracy of rail profile measurement. Therefore, the Scheimpflug condition is applied to the rail profile measurement system with linear structured light, and a constant focus optical path for rail profile measurement is designed. The results show that compared with the conventional measurement optical path, the depth of field of the imaging system is expanded from less than 90 mm to 210 mm, the width of the light strip at the rail waist and rail bottom is reduced and the energy is more concentrated. At the same time, the clear imaging of the rail head, rail waist and rail bottom is ensured, and the rail profile measurement error is reduced from 0.094 mm to 0.071 mm. This method can solve the problem of low measurement accuracy caused by defocusing blur in traditional measurement optical path, and provide a reference for the application of Scheimpflug condition in rail profile measurement.

Data privacy threat arises during providing top- k query processing in the wireless sensor networks. This article presents an efficient privacy-preserving and collusion-resisting top- k (EPCT) query processing protocol. A minimized candidate encrypted dataset determination model is first designed, which is the foundation of EPCT. The model guides the idea of query processing and guarantees the correctness of the protocol. The symmetric encryption with different private key in each sensor is deployed to protect the privacy of sensory data even a few sensors in the networks have been colluding with adversaries. Based on the above model and security setting, two phases of interactions between the interested sensors and the sink are designed to implement the secure query processing protocol. The security analysis shows that the proposed protocol is capable of providing secure top- k queries in the manner of privacy protection and anticollusion, whereas the experimental result indicates that the protocol outperforms the existing works on communication overhead.

Background: The risk of acute kidney injury (AKI) in severe and critical COVID-19 patients needs to be defined br br Methods: A total of 61 severe and critic

Convolutional Neural Network (CNN), a very important neural network structure in deep learning, is a network model often used in image classification, target recognition and other fields. In botany, leaf classification and recognition is very important for identifying new or scarce tree species. In nature, plants are widely distributed, and the survival and development of all living things on the earth depend on plants. Identification of species by leaves and related research are of great help to the study the evolution law of plants, the protection of plant species and the development of agriculture. This paper uses convolutional neural network in artificial intelligence to identify the leaves of several kinds of trees collected by Kunming Institute of Botany, Yunnan Province, which can realize the automatic extraction of leaf image features, reduce tedious labor costs, and realize the use of artificial intelligence to classify leaves, thus providing an auxiliary means of artificial intelligence for botany research.

The early-warning and inspection system for the intelligent greenhouse is an inspection robot based on the Internet of things and equipped with various sensors and intelligent cameras with 4G or 5G communication functions, such as temperature and humidity, light, gas, and flame. Which uses the wireless network transmission to the cloud computing platform for data analysis, sending warning information through smartphones to enable farmers to real-time monitoring in agricultural greenhouse crop growth status, temperature and humidity, illumination, CO 2concentration, plant diseases, and insect pests, etc., to achieve automatic control, scientific planting and raising the yield and increase their income. This paper mainly analyzes the hardware and software structure of this early-warning and inspection system, data transmission and processing, and Android application, so as to promote the application of intelligent planting.

Aiming at the current situation and existing problems of the sanitary ceramics industry, the paper presents the R&D of a set of multi - robot cooperation in the spraying glazing system. Firstly, the paper introduces the requirement of spraying glazing and puts forward the technics of spraying grazing robot. Then the paper introduces the system solution of spraying glazing robot, the working mode of the cooperative multi-robot, and the method of robot trajectory planning. Finally, according to the real experimentation of established spraying glazing robot system, the paper tested and verified the performance of the system. This system plays a positive demonstration role in the sanitary ceramics industry.

Background: Remimazolam is a newly developed benzodiazepine as an alternative of conventional sedatives in the procedure of anesthesia. For the purpose of evaluating the efficacy and safety of remimazolam sedation during an endoscopy, we will perform a systematic review and meta-analysis of randomized controlled trials that compared remimazolam with midazolam and/or placebo. Methods: We will search PubMed, Embase, Web of Science, and the Cochrane Controlled Register of Trials (CENTRAL) from inception to December 2019 for randomized controlled trials that investigated efficacy and safety of remimazolam during an endoscopy. The job will be performed without language restriction. Experimental groups will include the interventions of remimazolam, while control groups will involve midazolam, placebo, or no controls. The primary outcome will be the onset time, followed by the secondary outcomes of the recovery time, the incidence of hypotension, the incidence of hypoxia and the incidence of bradycardia. Relative ratio or standardized mean difference will be used to measure the effect size of remimazolam. We will use I2 statistics to assess the between-study heterogeneity in each meta-analysis, Eager's test to detect publication bias. Results: The results of this study will be published in a peer-reviewed journal. Ethics and dissemination: There is no need for ethical approval because all data used in this meta-analysis have been published. In addition, all data will be analyzed anonymously during the review process. Protocol registration number: CRD42020170745.

In this paper, we proposed a novel real-time mosaic block detection method based on intensity order and shape feature to automatically detect mosaic blocks in video. In the proposed method, the video frame is firstly converted to gray image, and it is divided into several layers according to the gray-scale levels to obtain the binary images. Secondly, performed the morphological operations on binary image include dilation and erosion to exclude the influence of single pixel and small area. Finally, extracted the shape features of connected domain of each binary image are used to detect the mosaic block. Experiments show that the proposed method can effectively detect the abnormal image which containing mosaic blocks in video and has the good performance on accuracy.

The dynamic equivalence of wind farms is widely used for model simplification. While, the accuracy will be lower without considering the influence of wind speed correlation caused by topography and wake effect. In order to improve the accuracy, this paper proposes a dynamic cluster equivalence method of coherent generators based on hierarchical clustering analysis. Firstly, it analyzes the impacts of equivalence's accuracy such as wind speed distribution, wake effect and control strategy of turbine. Then, it uses hierarchical clustering method to correlate the disturbed trajectory of rotor current of the intra-site turbines and obtains the dynamic clustering results. Finally, it uses power loss method to obtain the equivalent parameters of multi-machine equivalent model. Simulation results verify the effectiveness of this method.

Naringin, a well known component isolated from Exocarpium Citri Grandis, has significant antitussive effects. Recently, Naringin exhibited novel anti-inflammatory effect in chronic inflammatory diseases. In this work, we firstly evaluated the effects of naringin on enhanced cough, airway hyper-responsiveness (AHR), and airway inflammation in an ovalbumin-induced experimental cough-variant asthma (CVA) model in guinea pigs. We investigated the effect of naringin (18.4 mg/kg, per os, single dose or consecutively) on cough to inhaled capsaicin after challenge with an aerosolized antigen in actively sensitized guinea pigs. The effect of naringin on AHR to inhaled methacholine was evaluated 24 h after cough determination. Airway inflammation was assessed via bronchoalveolar lavage fluid (BALF) cytology and lung histopathology. Naringin, given consecutively, significantly reduced ovalbumin-induced enhanced cough and AHR, inhibited the increases in the leukocytes, interleukin-4 (IL-4), IL-5, and IL-13 in BALF compared with the model group. Moreover, the pathologic changes in lung tissues were clearly ameliorated by naringin treatment. These results suggest that naringin may be a beneficial agent for CVA treatment.

Stroke research and rehabilitation have traditionally focused on the physical and functional impact of a stroke. Less attention has been given to the psychosocial factors associated with this chronic condition. By the few studies that have specifically focused on psychosocial factors in the context of stroke, poststroke depression is demonstrated to significantly influence stroke outcomes. Associations of stroke with psychological symptoms other than depression have rarely been evaluated. This study was aimed to investigate the changes of psychological stress, social support and medication adherence in patients with ischemic stroke in the mainland of China. In this study, 90 patients with hemiplegia one year after first-ever middle cerebral artery infarction (stroke group) in the Zhongnan Hospital of Wuhan University from June 2008 to June 2011 were recruited for interview. Ninety age- and sex-matched normal volunteers (control group) were also examined at the same period. The psychological distress was assessed by the Symptom Checklist 90 (SCL-90), the social support by the Social Support Rating Scale (SSRS), and medication adherence by Morisky's self-reported inventory, respectively. Group differences were analyzed using unpaired-t test and chi-squared test. The results showed that total mean scores of the SCL-90 in the stroke group were higher than those in the control group (P0.01). Except two dimensions, paranoid ideation and psychoticism, mean scores of the rest dimensions (including somatization, obsession-compulsion, interpersonal sensitivity, depression, anxiety, hostility, and phobic anxiety) of SCL-90 were significantly higher in the stroke group than those in the control group (P0.05, or P0.01). The objective support, subjective support, support availability and total social support scores in the stroke group were significantly higher than those in the control group (P0.05, or P0.01). Those in the "SCL-90 total scores150 group" were significantly higher than in the "SCL-90 total scores100 group" and the "SCL-90 total scores between 100 to 150 group" (P0.05, or P0.01). Those in the "SCL-90 total scores between 100 to 150 group" were significantly higher than in the "SCL-90 total scores100 group" (P0.05). In 90 patients with ischemic stroke, 26 (28.89%) patients obtained high medication adherence, 47 (52.22%) patients medium medication adherence, and 17 (18.89%) patients low medication adherence, respectively. Among these stroke patients, there were 17 (50.00%) patients with high medication adherence in the "SCL-90 total scores150 group", 28 (75.67%) patients with medium medication adherence in the "SCL-90 total scores between 100 to 150 group", and 12 (61.16%) patients with low medication adherence in the "SCL-90 total scores100 group", respectively. There was significant difference in the medication adherence rate among the different SCL-90 scores groups in these stroke patients (P0.05 or P0.01). It was led to conclude that ischemic stroke patients one year after hemiplegia have psychological distress, low level of social support and poor medication adherence in the mainland of China. Therefore, it is necessary to mobilize the government, medical institutions and various social support groups to offer psychological interventions to relieve the stress of patients with ischemic stroke, and improve their medication adherence.

No index for non-invasive diagnosis of subclinical pelvic inflammatory disease (PID) is available at this time. Here we carried out a plasma metabolomic study to search for potential biomarkers to facilitate its non-invasive diagnosis.The metabolites in plasma were detected by using an LC-Q-TOF-MS method. The metabolic profiles of subclinical PID patients and healthy controls were discriminated by multivariate analysis. 30 patients and 28 controls were enrolled for PLS-DA model construction, and further 8 patients and 8 controls were employed for model validation. Univariate analysis was performed to evaluate potential biomarkers.The metabolic profiles of subclinical PID patients were different from those of healthy controls in a PLS-DA model, and this model was validated by permutation test and could accurately classify further 16 samples in T-prediction. Eleven differentiating metabolites, with the variable importance in the project1 and corrected P 0.05, were found as potential biomarkers. These metabolites included eight lipids, p-cresol, 3-indolepropionic acid and indoxylsulfuric acid. Among them, lysophosphatidic acid (16,0/0:0) showed a highest AUC value of receiver operating characteristic curve (0.855), with sensitivity of 89.3% and specificity of 73.3%.Through an LC-Q-TOF-MS based metabolomic analysis on subclinical PID, this study reports the potential plasma biomarkers which may be helpful for its non-invasive diagnosis.

In order to achieve the maximum power extraction below its rated value, wind turbine is generally controlled by maximum power point tracking (MPPT) strategies. However, due to the large inertia of wind turbines, it is difficult to adjust the rotor speed according to the highly fluctuant wind speed accurately and quickly. Consequently, the efficiency of wind energy extraction will not reach its theoretical maximum value. To address this problem, a more conservative speed reference that is suitable for the sluggish behavior of wind turbines was proposed to improve the MPPT performance. In this paper, a first-order digital filter is adopted to smooth the optimal speed. It is illustrated that a single-peak curve satisfies the statistical relation between the filter parameter and the average wind energy capture efficiency as turbulence condition varies. On this basis, a control strategy based on an adaptive algorithm is proposed to optimize the speed reference. Finally, it is verified through FAST (Fatigue, Aerodynamics, Structures, and Turbulence) simulation that the proposed method can increase wind energy production.

To achieve automatic generation control (AGC), the constant active power control is required for wind turbine generators (WTG). The accurate estimation of available wind power (AWP) is a prerequisite for WTGs to effectively participate in AGC and enhance the performance of AGC. In such a case, the maximum power point tracking (MPPT) control is not adopted and accordingly the MPPT principle cannot be utilized to estimate the AWP. Therefore, it is necessary to explore the factors influencing the AWP of WTGs undertaking AGC and investigate their influence mechanism so that the AWP can be accurately estimated. Since the output electric power of WTG is originated from wind energy, wind speed and its fluctuation are the factors that exert a significant influence on AWP. Therefore, in this paper, the impact of turbulence condition (including mean wind speed, turbulence intensity and turbulence frequency) on AWP and the influence mechanism are investigated by numerical simulation based on MATLAB/Simulink This study will provide the foundation for the accurate estimation of AWP.

The purpose of this study was to evaluate the roles of different housing environments in neurological function, cerebral metabolism, cerebral infarction and neuron apoptosis after focal cerebral ischemia. Twenty-eight Sprague-Dawley rats were divided into control group (CG) and cerebral ischemia group, and the latter was further divided into subgroups of different housing conditions: standard environment (SE) subgroup, individual living environment (IE) subgroup, and enriched environment (EE) subgroup. Focal cerebral ischemia was induced by the middle cerebral artery occlusion (MCAO). Beam walking test was used to quantify the changes of overall motor function. Cerebral infarction and cerebral metabolism were studied by in vivo magnetic resonance imaging and 1H-magnetic resonance spectra, respectively. Neuron necrosis and apoptosis were detected by hematoxylin-eosin and TUNEL staining methods, respectively. The results showed that performance on the beam-walk test was improved in EE subgroup when compared to SE subgroup and IE subgroup. Cerebral infarct volume in IE subgroup was significantly larger than that in SE subgroup (P

AVCI, Bahattin/0000-0001-6471-6495; LUTFIOGLU, MUGE/0000-0003-1499-5902 WOS: 000461325900043 PubMed: 29267671 This study aimed to assess the impact of hyperlipidemia on healthy and diseased periodontal tissue by evaluating oxidative stress biomarkers in gingival crevicular fluid (GCF). Clinical periodontal parameters and blood serum lipid, GCF malondialdehyde (MDA), protein carbonyl (PC), and total antioxidant capacity (TAOC) levels were evaluated in six age and sex-matched groups (n = 15 each) of normolipidemic and hyperlipidemic individuals as follows: normolipidemic + periodontally healthy (H), normolipidemic + gingivitis (G), normolipidemic + chronic periodontitis (CP), hyperlipidemic + periodontally healthy (HH), hyperlipidemic + gingivitis (HG), and hyperlipidemic + CP (HCP). GCF MDA, and PC levels varied among groups, with patients with periodontitis having the highest MDA and PC levels [CP > G > H (p < 0.01) and HCP > HG > HH (p < 0.01)] and the lowest TAOC levels [CP < G < H (p < 0.01) and HCP < HG < HH (p < 0.01)]. Furthermore, paired comparisons showed MDA and PC levels to be higher and TAOC levels to be lower in HCP compared with NCP (p < 0.01). In patients with hyperlipidemia, GCF, MDA, and PC levels positively correlated with clinical assessments and serum triglycerides (TG), total cholesterol (TC), and low-density lipoprotein cholesterol (LDL) levels and negatively correlated with serum high-density lipoprotein cholesterol (HDL) levels, whereas GCF TAOC levels negatively correlated with clinical assessments and serum TG, TC, and LDL levels, but positively correlated with serum HDL levels (p < 0.01). In normolipidemic patients, GCF, MDA, and PC levels positively correlated with clinical assessments and serum TG levels and negatively correlated with serum HDL levels, whereas GCF TAOC levels negatively correlated with clinical assessments and serum TG levels and positively correlated with serum HDL levels (p < 0.01). In conclusion, abnormal serum lipid subfractions could be considered a risk factor for enhancing oxidative stress in GCF in the presence of periodontal disease.

Bypass valve is a common pressure protector in adjustable pressurization system. Its characteristic parameters directly influence the operating pressure and operation safety of such system. By AMESim system simulation platform, the paper establishes a model for turbopump and its pressure regulating system, makes characteristic description of key components in the system, studies and analyzes the influence of physical parameter, adjustable degree of opening and other characteristic parameters of bypass valve on turbopump output characteristic, system pressure and flow. The findings show that bypass valve, in the case of turbine speed regulating failure, can effectively drop system pressure, reduce turbopump speed and control system flow, and its parameter regulating capacity intensifies with the increase of diameter of bypass valve. The study provides reference for other aircraft fuel bypass valve design and system safety design.

In automatic visual inspection of TFT-LCD, MURA defect is difficult to recognize due to uneven brightness of the panel. This paper proposed a preprocessing method to eliminate such unevenness using Empirical Mode Decomposition (EMD). Comparing to existing algorithms, such as the Principal Components Analysis (PCA), this method provided a more integral distribution of the unevenness. Then a grey level nonlinear transformation was proposed to eliminate the unevenness of the original image. Besides eliminating the unevenness, results indicated that the EMD method can further give the upheaval features, as white points and texture features, and graded features, as MURA defect, which suggested that it may be possible to extract the MURA defect in an uneven illumination image by the proposed method.

B-cell activating factor of the TNF family (BAFF) has been documented to act as a critical factor in the development of aggressive B lymphocytes and autoimmune diseases. However, the effect of various cytokines on BAFF-elicited neoplastic B-lymphoid cells is not known. In this study, we exhibited that administration of human soluble BAFF (hsBAFF), IL-2, IL-4, IFN-γ, or TNF-α alone increased cell viability and survival in Raji cells concentration-dependently, yet a more robust viability/survival was seen in the cells co-treatment of IL-2, IL-4, IFN-γ, or TNF-α with hsBAFF, respectively. Further research revealed that both Erk1/2 and S6K1 signaling pathways were essential for IL-2, IL-4, IFN-γ, or TNF-α enhancement of the viability/survival in the hsBAFF-stimulated cells, as inhibition of Erk1/2 with U0126 or down-regulation of Erk1/2, or blockage of S6K1 with rapamycin or silencing S6K1, or silencing S6K1/Erk1/2, respectively, reduced the cell viability/survival in the cells treated with/without hsBAFF ± IL-2, IL-4, IFN-γ, or TNF-α. These findings indicate that IL-2, IL-4, IFN-γ or TNF-α enhances BAFF-stimulated cell viability/survival by activating Erk1/2 and S6K1 signaling in neoplastic B-lymphoid cells. Our data suggest that modulation of IL-2, IL-4, IFN-γ and/or TNF-α levels, or inhibitors of Erk1/2 or S6K1 may be a new approach to prevent BAFF-induced aggressive B-cell malignancies.

This paper develops a humped spiral antenna of top inductively coupled plasma with variable gap. Comparing with planar spiral antennae, it investigates the performance of humped spiral antennae in the calculated electromagnetic configurations and experimental results. It finds that the humped antenna has the improved uniformity of plasma density in the radial direction and the decreased electron temperature in the top inductively coupled plasma. By experimental and theoretical analyses, the plasma performance in the case of humped antennae is considered to be the combined results of the uniform electromagnetic configurations and the depressed capacitively coupling effect.

As one of the key procedures in preliminary design, the project location of unified power flow controller (UPFC in short) plays a decisive role in improving control effect. Usually the quantity of UPFC devices is limited considering social and economic factors, thus the optimization objective of project location is to make use of limited UPFC to the largest extend. Therefore, a practical algorithm for UPFC project location is presented in this paper. The load of lines is used as the weight coefficient, and the location adaptability index is defined based on weighted line outage distribution factor, which can be solved by DC power flow method. Then the recommended location is determined by measuring the index value. The results of an IEEE example shows that the computational efficiency is high and the method is reliable.

A new diagnostic based on Doppler shift is designed to measure the power profile of a hydrogen or deuterium neutral beam on the magnetic confined fusion machines. The interference filters and multi-channel photon detector array (PDA) are the main components of this diagnosis. The multi-channel PDA measures the line integrated Doppler Hα signal emitted by the neutral beam at one section in two directions. The local intensity of neutral beam can be obtained with the tomography technique. Compared to the conventional calorimeter diagnoses, this diagnosis can provide the beam profile without blocking the injection of neutral beam.

An electromagnetic-field FDTD method coupled with plasma fluid model is put forward to study the phenomena of High Power Microwave flashover and breakdown on outputwindow. The numerical results could be concluded as follows. For flashover and breakdown on outer surface, output microwave pulse is shortened without cut-off; there is a standing-wave distribution of electric field RMS (Root-Mean-Square) value before the window with fixed-positions of wave nodes and antinodes; there is a ultra-high-density (∼1021/m3) and ultra-thin (∼mm) plasma shell with slow diffusion, microwave could penetrate the plasma-shell partly; the shortening of output microwave is caused by plasma absorption mostly. The output pulse of microwave could be lengthened by decrease the initial density or depth of plasmas; the other way is to shorten incident microwave pulse or decrease the value of incident microwave power. For flashover and breakdown on inner surface, there is also a standing-wave distribution of electric field RMS value before the window but the positions of wave nodes and antinodes varying with time; the plasma region move to the direction of microwave source; with strong-outgassing, output microwave pulse is shortened without cut-off, there are a “thread-like” ultra-high-density (∼1021/m3) and ultra-thin (∼mm) plasma regions with slow diffusion, the distance between two “thread-like” region is about a quarter of microwave wavelength, the shortening of output microwave is caused by plasma absorption mostly; with weak-outgassing and low electric field value, the output pulse of microwave are lengthened but cut-off finally, there are a “belt-like” high-density (∼1018/m3) and thin (mm∼cm) plasma regions with fast diffusion, the distance between two “belt-like” region is about a quarter of microwave wavelength, the shortening of output microwave is caused by plasma absorption mostly; with weak-outgassing and high electric field value, output pulse of microwave is cut-off quickly, a “block-like” diffuse ultra-high-density (∼1021/m3) and deep (∼cm) plasma regions are formed with very fast diffusion, the shortening of output microwave is caused by plasma reflection mostly.

By using a rotating hexahedral mirror placed in front of the objective lens and two sets of visible and ultraviolet monochromators coupled with a branchy quartz fiber bundle, a spacetime resolved spectroscopic system has been developed on the HT-7 superconducting tokamak. A center monitoring system has been used including a Helium-Neon laser and a photodiode detector to indicate the absolute position of the measurement in order to reduce the error caused by the uncertain emissive position of the plasma. By using the asymmetric Abel inversion, the spacetime resolved local emission coefficients of the spectroscopic line emissions have been obtained. Presented in this article are simultaneous measurements of two spectral line emissions such as CV-227.1 nm and OV-278.1 nm during a single plasma discharge on the HT-7. Experimental results indicate that the time resolution is better than 3 ms, the space resolution is better than 1.5 cm, the ratio of signal to background is better than 10:1, and the relative error of chord-integrated emission profile is less than 10%. Compared to traditional multichannel detecting systems, this system has considerably improved measurement efficiency, reduced uncertainty, and is therefore suitable for transport studies of global particles and impurities.

Background Ischemic stroke is the second most common cause of death and the primary cause of disability throughout the world. Acupuncture is frequently advocated as an adjunct treatment during stroke rehabilitation. The aim of this study was to update the clinical efficacy and safety of acupuncture for cerebral infarction. Methods Randomized controlled trials (RCT) on acupuncture treating cerebral infarction were searched from the following databases: PubMed, EMBASE, Cochrane Library, CNKI, CMB and VIP from inception to October 2013. The data of RCTs meeting the inclusive criteria were extracted according to Cochrane methods. The meta-analyses were conducted using Rev Man 5.0 software. Results A total of 25 trials involving 2224 patients were included. The results of this meta-analysis showed that the groups receiving acupuncture (observation group) were superior to the comparison groups (control group), with significant differences in the Clinical Efficacy Rates [OR = 4.04, 95%CI (2.93, 5.57), P

Uniformity of inductively coupled plasma (ICP) is improved with a cone spiral antenna in our experiment. Performance of the ICP with a new type of antenna is experimentally investigated. The results indicate that the uniformity of plasma density in the radial direction is obviously improved as compared to the ICP with a planar spiral antenna. Performance of ICP is analysed with the experimental results.

This paper provides a design of 2-3.5GHz transmitter front-end based on 0.18µm RF CMOS process. The front-end circuits consist of IF single-differential converter (SDC), LO SDC, up-conversion mixer and an output buffer for testing. Under 3.3V power supply, the post-simulation results indicate that the current consumption is 38.3mA, IP1dB is 0dBm, the voltage gain at 2-3.5GHz is 4.7-3.1dB, and NF is lower than 14.5dB.The front-end design has been applied in the 2-3.5GHz transmitter and meets the requirements of system application. zhiqunli@seu.edu.cn

Our country's industry has been developed so rapidly that auto production and sales capacity increased year by year. Meanwhile, small-displacement car has come to a high developing stage in the market, and the requirement be putting forward higher on organizational management of new product developing projects. The paper analysis organizational management status and problems on new car product developing projects, and then build project platform organization structural in order to organizational project management. At last, analysis of the organizational platform model for new car product developing project about its operation, responsibilities and Advantages. Optimizing the project management organizational structure provides strong warranty for the rapid replacement of new car products and for the sustainable development of the car companies.

According to the estimation by IEA, the natural gas can become the main energy by the middle of this century. Being a typical network industry, pipeline transportation has vertical integration characteristics. But in view of pipeline transportation' professional barrier, the domestic research into pipeline transportation integrated pricing is rare, even still blank in how to guarantee fairness between pipeline operators and other intermediate traders of natural gas. This paper studied the pricing question above, analyzed the price discrimination and non-price discrimination of pipeline inserted pricing, and finally constructed a natural gas pipeline transportation model which realized the non-price discrimination.

Interactive projection systems based on CCD/CMOS have been greatly developed in recent years for their non-contact sensing type. However, the location accuracy and tracing speed are limited by the resolution and frame rate of the CCD/CMOS. In this paper, we introduced a new type of non-contact interactive projection system based on a two-dimensional position sensitive detector (PSD). By using the PSD, both high positioning accuracy and high tracing speed can be achieved. Experimental results show that the positioning error is about 2mm over a 1200mm×1000mm projection screen, and the sampling rate is at least 200Hz.

with the great advantages of interactive projection technology, the new optical-electronic human-computer interactive large screen display system has been paid more and more attention. In this paper, the approach with a new optical structure based on linear detectors has been presented. This system consists of computer, projector, camera and digital pen, and the camera uses two linear detectors to detect the infrared light point, which is reflected by two stripe mirrors separately, so that the location of the light point could be measured. This method has the advantages of anti-obstruct, fast tracking, low-cost, and can be widely used in teaching, training, and so on.

An economical large area touch panel was presented. Through a new type of optical path constituted by specially arranged mirrors and other optical devices, the one-dimensional imaging of an object on top of the touch panel surface can be captured by one-dimensional optical sensors such as CCD, CMOS or PSD and its position can be located. Simple optical structure, less component and improved processing speed through the use of one-dimensional optical sensors, makes it suitable to large-space touch panel applications.

In the modern times, the highway management needs better information supporting system to connect all these Online Transaction Processing Systems, to meet the integrated data analysis need of scientific management. Because of the deficiencies of traditional data management information system, the data warehouse technology has been used to organize and analysis the massive datas and provide a basis decision-making supporting. Combination of the highway management practices, in this paper the provincial highway management data warehouse architecture was constructed and the data model design method and strategy were put forward, and the subject, data granularity of data warehouse for highway management were analysised. In finally the meta-data organize and its implementation program were discussed. With the application of data warehouse technology in highway management, which will promote the analysis of management decision-making of China's highway modernization, scientific and information process.

In the field of electrical power engineering, pattern recognition is commonly used for classification of defects caused of partial discharge (PD) in gas insulated substation (GIS) in order to assess the insulated system in time. As phase information can't be acquired effectively using real wavelet transform for extracting features because of only real coefficients being existed, in this paper, the method of complex wavelet transform (CWT) for decomposing ultra-high frequency (UHF) PD signals is proposed; complex coefficient is constructed by combining the real part and imaginary part of complex wavelet coefficients which can describe PD signal integrally; and the features can be extracted from complex coefficients of each scale; additionally, optimal complex coefficients are selected by comparing Jsum criterion; Finally, PD samples are acquired through large number of experiments, and BP neural network is used to identify the PD source by four typical insulated defects effectively. The results show that the features extracted from the optimal compound coefficient corresponding to the best complex wavelet have wonderful results.

The paper presents the unity planning method of traffic network, and the key model of the three objectives with three dimensions search model to the method is established after reviewing some class models having been applied on the traffic network planning. A practical example of traffic network planning was accomplished by the method, which demonstrates the method has a better application value.