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Background To describe the diagnostic criteria used and their application accuracy in the practice of polycystic ovary syndrome (PCOS) caring among obstetricians and gynaecologists across China. Methods This was an Online cross-sectional survey of Obstetricians and gynecologists involved in PCOS caring conducted via the largest continuing education platform of obstetrics and gynecology across China from September 2019 to November 2019. Results A total of 2,328 respondents were eligible for the final analysis. Of these, 94.5 % were general obstetricians and gynaecologists (Ge-ObGyn), and 5.5 % were reproductive endocrinologists (Re-ObGyn). Overall, the most frequently used criteria were the Androgen Excess and Polycystic Ovary Syndrome Society (AE-PCOS) criteria (48.2 %), followed by the Rotterdam criteria (35.7 %) and NIH criteria (12.1 %). Of the respondents, 31.3 % used their diagnostic criteria in their clinical practice. More respondents who chose the Rotterdam criteria could accurately apply the diagnostic criteria than those who chose the AE-PCOS criteria (41.2 % vs. 32.1 %, P P P Conclusions Less than one-third of obstetricians and gynaecologists across China could accurately use the diagnostic criteria they choose to diagnose PCOS. There is an urgent need to train obstetricians and gynaecologists on PCOS diagnosis in an effort to improve the medical care quality of patients with PCOS.

For high efficiency Cu(In,Ga)Se2 (CIGS) solar cell, the high-resistivity layer with high optical transmittance has to be adopted between the buffer layer and the high-conductivity window layer. In this paper, we propose Sn doped ZnO (ZTO) film, instead of the traditional intrinsic ZnO (i-ZnO) film, as an alternative n-type high-resistivity window layer for CIGS solar cell. In this experiment, both ZTO and i-ZnO films are strong (002) oriented, and the surface morphologies of the two films are almost the same. The statistical roughnesses of i-ZnO film and ZTO film are 0.58 nm and 0.63 nm, respectively. However, the optical transmittance of ZTO film is higher than that of i-ZnO film with the same thickness. The efficiency of ZTO based CIGS cell was 14.24%, which is almost the same as the efficiency of i-ZnO based CIGS cell. These results fully suggest that it is very feasible to replace i-ZnO with ZTO as the high resistant window layer.

Due to the complicated structure, power communication network is difficult to guarantee the quality of service (QoS) of power services. A two-level scheduling algorithm based on software defined network (SDN) is proposed in this paper. Firstly, the priority-based scheduling method is used to meet the latency-sensitive of power service. Then, in order to alleviate congestion, queue bandwidth is adjusted according to network state information, which can be collected by the centralized control of SDN. Finally, the Mininet and Ryu controller are made use of building simulation environment. The test results show that the algorithm proposed in this paper reduce delay and packet loss rate significantly, which achieves QoS.

Multi-view subspace clustering aims to find the inherent structure of data as much as possible by fusing complementary information of multiple views to achieve better clustering results. However, most of the traditional multi-view subspace clustering algorithms are only shallow clustering algorithms, which does not capture the deep information of the data well, and does not conduct in-depth research at the self-representation level of the data. To this end, this paper proposes a novel deep multi-view subspace clustering model that introduces exclusive constraints. A deep autoencoder is used to perform nonlinear low-dimensional subspace mapping for each view to learn the deep structure of the original data. To better retain multiple views’ local structure and better reflect the complementarity, the exclusive constraints are introduced into the self-representation matrix which located in the middle layer of the deep autoencoder. The multi-view consensus self-representation matrix is used to capture the consistency information between the multi-view data. The update of autoencoder parameters and clustering parameters are iteratively optimized under the same learning framework to improve the clustering performance. Experiments on multi-view data sets prove that this method can better dig out the inherent complementary structure of multi-view data, which reflects the superiority of this method.

In the process of network consumption management of traditional wireless communication network, it is impossible to timely adjust according to the network energy efficiency, and the communication effect between nodes is not ideal. Therefore, this paper proposes a dynamic edge-cloud architecture of wireless communication network based on Software defined networking (SDN) architecture. According to the proposed model, the energy consumption of wireless communication network is analyzed. From the point of view of node communication distance, the model of energy consumption regulating is constructed. The experimental results show that the proposed SDN-based edge-cloud model can improve the delay and throughput performance of the network, which indicates that the research of this paper is conducive to the sustainable development of wireless communication network.

Gliomas are the most severe brain tumours with a poor prognosis. Although surgery, postoperative radiotherapy and chemotherapy can improve the survival rate of glioma patients, the prognosis of most glioma patients is still poor. In recent years, the influence of gene-targeted therapy on gliomas has been gradually discovered, and intervening the occurrence and development of brain gliomas from the perspective of the gene will significantly improve treatment prognosis. Protein Kinase C and Casein Kinase Substrate in Neurons 1 (PACSIN1) is a member of the conserved peripheral membrane protein family in eukaryotes. Improper expression of PACSIN1 can lead to neurological diseases such as Huntington’s disease and schizophrenia. However, its relationship with tumours or even gliomas has not been explored. The study aims to explore PACSIN1 as a prognostic factor that can predict overall survival (OS) for gliomas. We collected the data from CGGA, TCGA, GEO databases and the pathological glioma tissue specimens from 15 clinical glioma patients surgically resected. The differential expression of PACSIN1 in various clinical indicators, the genes related to PACSIN1 expression, the prognostic value of PACSIN1 and the functional annotations and pathway analysis of differently expressed genes (DEGs) were analysed. The results revealed that PACSIN1 had low expression levels in grade IV, IDH1 wild-type and 1p/19q non-codel group gliomas, and PACSIN1 was considered a mesenchymal molecular subtype marker. PACSIN1 expression is positively correlated with OS in all gliomas and it was found that PACSIN1 influenced the occurrence and development of gliomas through synaptic transmission. The PACSIN1 expression is negatively correlated with the malignant degree of gliomas and positively associated with the OS, indicating that PACSIN1 would play an essential role in the occurrence and development of gliomas and might be a potential new biomarker and targeted therapy site for gliomas.

Background: Covid-19 vaccine research and development is progressing and expected to be put into use in a predictable time, we aimed to learn the awareness and acceptance of the new vaccine by healthcare workers (HCWs) in Beijing, China. Methods: A cross-sectional survey was conducted to investigate HCWs including doctors, nurses and technicians from sixty hospitals in Beijing to obtain the perception of COVID-19 epidemic and the attitudes towards vaccination before before the completion of vaccine phase III clinical trials. Multivariate analysis was applied to evaluate the associated factors with intention to get vaccination.Results: A total of 8040 HCWs was recruited. 67.1% reported they would get vaccination, others said unsure or would not. Half of the HCWs were unsure whether the outbreak in China would come back and the global epidemic would last for a long time. 67.6% agreed the epidemic can be prevented by vaccination. Positive associated factors with willingness to get vaccination were mainly included epidemic situation prognosis, perception of disease severity, self infection risk and disease can be prevented by vaccine, etc. Two positive factors of “wanted the vaccine free of charge” (OR:5.807, 95%CI:5.083-6.635, PConclusions: A little above moderate willingness to get COVID-19 vaccination was found among HCWs in Beijing before the vaccine being licensed. Free vaccination strategy should be considered to implement, effective measures should be taken to remove barriers and convey correct information through appropriate ways to enhance the acceptance of COVID-19 vaccination among HCWs in China.

With the increasingly integration of distributed generator (DG) in active distribution network (ADN), the fault location problem is facing more challenges. This paper proposes a hierarchical fault location model for ADN, in which the upper-layer model is to determine the area location of the fault and the lower-layer model is to get the section location of the fault. To solve the hierarchical fault location model in an efficient way, a hybrid solving strategy combing the genetic algorithm and the integer linear programming method is applied. Case studies are carried out on a modified IEEE 33-bus distribution network, in which the DGs are of high penetration. The results show that when a single or multiple fault occurs in the ADN, the hierarchical fault location method can detect the fault location more accurately than the traditional single-layer fault location method. And the results also indicate that the model and algorithm used in this paper perform significantly better than the single model and single algorithm in terms of convergence speed, accuracy, and fault tolerance.

Fire accidents occur occasionally when grid structures are extensively applied, although many grid structures do not suffer general failure after fire disasters and can be used again after reasonable evaluation and reinforcement. To reasonably evaluate the residual load bearing capacity of grid structures, this paper investigated stability bearing capacity of steel tube members in grid structures after fire disasters through axial compression experiment and numerical simulation. Axial compression experiments performed on 32 steel tubes after exposure to the ISO-834 standard fire, and three highest fire temperatures were considered, including 600 °C，800 °C and 1000 °C. The temperature distributions in the specimens during the heating and related mechanical properties such as load-displacement curves, ultimate loads and strain distributions of the specimens, were obtained and analyzed. Finite element analysis was also conducted by using ABAQUS software. Then, the main factors influencing the residual stability bearing capacities of the steel tube members exposed to high temperatures were obtained through a lot of numerical analysis. Based on the results of experiments and numerical analysis, the formula for the computation of the residual stability bearing capacities of the steel tube members after fire disasters was presented. And calculated results using the formulas accorded well with experimental results.

This paper proposes a shipbuilding schedule planning system based on the constant work-in-process (CONWIP) as a new way to deepen the schedule planning management and implement the lean shipbuilding. It fully discusses the forms, key elements, the ways and processes of implementation, etc. It demonstrates the advantages of the CONWIP system over the KANBAN system and the feasibility of applying the CONWIP system in shipbuilding by taking the flat section manufacturing of the shipbuilding as an example and applying the plant-simulation software to simulation analysis. We also provide the corresponding solutions to solve the problems, found in the application of the CONWIP system, and discuss the process and result of a simulation of the solutions. 1. Background The level and the structure of the shipbuilding production plan are relatively complex, and the derivative of the plan has many kinds of the species. After many years of researches and practices of shipbuilding enterprises in domestic and foreign, the types and classifications of the shipbuilding production plan have become consistent, which means that the shipbuilding production plan is composed of the three types of plans: basic plan, load plan, schedule plan. Basic plan is a programmatic plan in system, load plan is a system of protection plan, and schedule plan is implementation plan. Shipbuilding production planning system is shown in Table 1. Schedule plan usually decomposes the plan into each workstation and process, and then comes into the schedule plan of workstations and processes according to the general production task, the basic plan and building procedure. The plan mainly contains large schedule plan, medium schedule plan, and detailed schedule plan. Large schedule plan mainly refers to the construction of the main process planning, main material demand date, and comprehensive plan of each professional drawing; the medium schedule plan includes preinstallment medium schedule plan, the succeeding medium schedule plan, and installment medium schedule plan, which are based on the erection network scheduling; detailed schedule plan mainly refers to the monthly, weekly, and daily production plan which are made on the standard of the medium schedule plan by the production department. The traditional shipbuilding planning is top-down push plan system. In this system, it requires a complete production management data for production department from the design and planning departments. Load plan and schedule plan are strictly made and carried out on the basis of production load balance which conducted by working hours, capacity, and the data of energy consumption. However, because of the planning system in which monthly plan is made to meet the line table as a starting point, so it lacks of the balance of the actual state. Eventually, this plan system leads to a poor balance and operability, random plan execution, and a great deviation in the actual production situation of the system, because of these the scheduling production relies heavily on spot control. Therefore, during the current time when the lean shipbuilding idea is a consensus of the industry development, how to enhance the schedule planning management has become a key issue for the realization of the lean shipbuilding.

Bamboo is well known as a kind of environment-friendly and sustainable material with superior mechanical properties such as high strength to weight ratio . Generally, it is accepted that bamboo has wide application possibilities in the construction sector. In the present development of the processing technology, engineered bamboo has gradually entered the field of modern structural engineering since the beginning of present century. This paper proposed a novel sandwich panel composed of engineered bamboo face and aerated concrete core. Investigation and analysis of the mechanical properties of this novel engineered bamboo–concrete sandwich panel under axial load was conducted through experiments and theoretical equations. The influence of different factor like face type, thickness of face and core; connection type between the face and the core was discussed as well. The result showed that the bamboo face significantly affected the panel mechanical properties and demonstrated that the sandwich panel proposed in this paper is promising due to its distinguished recorded structural performance.

Hua’er, a peculiar type of folk song in Northwest China, can be translated by referring to English love poems to recreate analogous but fundamentally different intertextual relations in English. The intertextuality perspective of translation enables the translator to see the rendition not as a product but as one of the numerous interpretive possibilities. Seen in this light, translating romantic Hua’er is able to open up one of many dialogues with English language and culture. By analyzing pieces of romantic Hua’er which the author translated, this paper aims to explore ways of representing the original intertextual relations in the English cultural context through three specific situations where the intertexts within Hua’er are recreated in the receiving language. The three ways are reproducing by substitution for intertexts likely to remain unrecognized in English, retaining intertexts with distinctive Chinese characteristics and constructing intertexts in a new context familiar to English readers.

This paper will try to overcome two difficulties encountered by the C0 three-node triangular element based on the displacement-based higher-order models. They are (i) transverse shear stresses computed from constitutive equations vanish at the clamped edges, and (ii) it is difficult to accurately produce the transverse shear stresses even using the integration of the three-dimensional equilibrium equation. Invalidation of the equilibrium equation approach ought to attribute to the higher-order derivations of displacement parameters involved in transverse shear stress components after integrating three-dimensional equilibrium equation. Thus, the higher-order derivatives of displacement parameters will be taken out from transverse shear stress field by using the three-field Hu–Washizu variational principle before the finite element procedure is implemented. Therefore, such method is named as the preprocessing method for transverse shear stresses in present work. Because the higher-order derivatives of displacement parameters have been eliminated, a C0 three-node triangular element based on the higher-order zig-zag theory can be presented by using the linear interpolation function. Performance of the proposed element is numerically evaluated by analyzing multilayered sandwich plates with different loading conditions, lamination sequences, material constants and boundary conditions, and it can be found that the present model works well in the finite element framework.

IntroductionType 2 diabetes mellitus (T2DM) is a substantial health problem worldwide. Pre-diabetic state is associated with increased risk for the development of diabetes. There are various pharmacological therapies with glucose-lowering activity for diabetes prevention. Of those, most are being compared with placebo instead of active agents. The relative effects and safety of different glucose-lowering drugs still remain uncertain. To address this gap, we will conduct a systematic review and network meta-analysis (NMA) to evaluate comparative efficacy and safety of glucose-lowering agents for T2DM prevention in patients with pre-diabetes.Methods and analysisPubMed, the Cochrane library and Embase will be searched from inception to December 2019 for relevant randomised controlled trials (RCTs) that examined anti-diabetic drugs for diabetes prevention in patients with pre-diabetes. Two reviewers working independently will screen titles, abstracts and full papers. Data extraction will also be completed by two independent authors. The primary outcome will be the incidence of T2DM in patients with pre-diabetes at baseline. Secondary outcomes will include the achievement of normoglycaemia, all-cause mortality, cardiovascular mortality and hypoglycaemic event. Pairwise meta-analysis and NMA will be conducted for each outcome using a frequentist random-effects model. Additionally, subgroup analyses will also be performed. The comparison-adjusted funnel plot will be used to assess publication bias. The overall quality of evidence will be rated with the Grading of Recommendations Assessment, Development and Evaluation framework. Data analysis will be conducted using Stata V.14.0.Ethics and disseminationEthics approval is not required. We plan to submit the results of this study to a peer-review journal.PROSPERO registration numberCRD42019119157.

In the group's previous study, fibrinogen alpha chain (FGA) was identified as an up-regulated differential protein that was highly expressed in women with endometriosis. The current study investigated the expression and effects of FGA in endometriosis. It also evaluated the effects of FGA on human endometrial stromal cells and studied the possible mechanism.This was a cross-sectional analysis of FGA expression in plasma and endometrial tissue of matched eutopic and ectopic samples from women with endometriosis undergoing laparoscopic surgery and samples from women without endometriosis. Forty-four patients with endometriosis and 32 healthy control subjects who donated plasma for FGA analysis, including 26 matched cases of eutopic and ectopic endometria from endometriosis patients and 22 endometria from healthy control subjects, were analysed. The effects of FGA were studied in a human endometrial stromal cell line after transfection with FGA short interfering RNA (siRNA).FGA concentrations in serum and expression in eutopic and ectopic endometrial tissue were significantly higher in women with endometriosis than controls (P 0.05 and P 0.01 respectively), whereas FGA expression was not significantly different in eutopic compared with ectopic endometrial tissues from the same patients. High FGA concentrations in serum were related to disease stage and ovarian involvement, but were not affected by age and menstrual cycle. The knockdown of FGA expression by FGA siRNA inhibited hEM15A cellular adhesion, migration and invasion, and attenuated matrix metalloproteinase-2 (MMP-2) expression.High FGA expression in endometriosis was closely related to disease severity and affected cell adhesion, migration and invasion, which might play an important role in the pathogenesis of endometriosis.

Background: Human Immunodeficiency Virus (HIV) infection is known to be a risk factor for orthopedic surgical site infection (SSI) and periprosthetic joint infection (PJI). We try to preoperative application of a rapid antiviral therapy in a short period of time to quickly reduce viral load and improve the immune function in patients with reconstruction, further reduce the risk operation. Methods: From January 2013 to August 2018, clinical data of 40 patients with hiv-positive orthopedic patients with fractures were collected in this study. According to the AO classification of age and gender fractures, 20 cases were randomly divided into the treatment group (RAL+ENT) and the control group (routine HAART). To observe and compare the changes of HIV-RNA and CD4+ T cell count of patients in the two groups within 2 weeks after perioperative treatment, and to compare the postoperative complications of patients in the two groups. Findings: The wounds of all the patients in the treatment group were healed in one stage without wound infection. Opportunistic infection occurred in 1 patient, and postoperative wound infection and delayed healing occurred in only 3 patients in the control group. All patients had no bone infection, death, or other serious orthopedic complications. Within two weeks, the viral load of the treatment group (92469.375 copies/ml) was lower than that of the control group (30705.375 copies/ml), and the increased amount and speed of CD4+ T cell count were higher than that in the control group (P < 0.05). Interpretation: The preoperative rapid antiviral therapy (RAL+ENT) can reduce the viral load and increase CD4+ T cell count more effectively and rapidly in the short term. For patients with hiv-positive fractures, good clinical efficacy can be achieved through reasonable preoperative evaluation, optimization of preoperative management and rapid antiviral therapy. Funding: 1. Capital's Funds for Health Improvement and Research (CFH, 2018-2-21, 74) 2. Science and technology general project of Beijing municipal commissioner of education (KM, 201810025029) Declaration of Interest: All authors declare no competing interests. Ethical Approval: All patients signed informed consent before blood collection and surgery and volunteered to participate in the experiment. Adopted by the ethics committee of Beijing ditan hospital affiliated to capital medical university.

The thermal cracking of massive concrete, especially for the dam concrete, due to the complex temperature histories and restraint conditions jeopardizes the structure's safety and durability. Suitable failure criterion is one of the critical factors for preventing thermal cracking. The eligible failure criterion depends on the full understanding of the failure mechanism, which further relies on convincing experimental techniques. Though the mechanisms and experimental techniques of thermal cracking have been extensively studied, their relations to failure criteria are rarely established. Thus this state-of-the-art review focuses on the thermal failure criteria, related to mechanisms and temperature stress test (TST) methods. The TST researches show the restrained concrete exhibits lower failure stress than its direct tensile strength tested by the free specimen, while has a larger failure strain than its tensile strain capacity, leading to disqualification of the conventional tensile strength/strain capacity criterion. The development of a multiple TST machine system enables the establishment and verification of a Stress-Strain combined criterion. Meanwhile, more verifications experiments considering the material compositions, temperature histories, restrained degrees, loading durations should be conducted. Moreover, the three-dimensional failure criteria and TST methods are suggested for future research.

The heat-pipe solar water heating (HP-SWH) system and the heat-pipe photovoltaic/thermal (HP-PV/T) system are two practical solar systems, both of which use heat pipes to transfer heat. By selecting appropriate working fluid of the heat-pipes, these systems can be used in the cold region without being frozen. However, performances of these two solar systems are different because the HP-PV/T system can simultaneously provide electricity and heat, whereas the HP-SWH system provides heat only. In order to understand these two systems, this work presents a mathematical model for each system to study their one-day and annual performances. One-day simulation results showed that the HP-SWH system obtained more thermal energy and total energy than the HP-PV/T system while the HP-PV/T system achieved higher exergy efficiency than the HP-SWH system. Annual simulation results indicated that the HP-SWH system can heat the water to the available temperature (45°C) solely by solar energy for more than 121 days ...

Aiming at the anomaly recognition method of large area measurement system (WAMS), a method based on Grey Mrrelatian Aru and Isolation Forest algorithm is proposed, considering the attributes of power data and the big data characteristics of large area measurement system. In this method, the relational matrix of power data attribute sequence is obtained through grey relational analysis, and the dependent attributes are selected according to the relational matrix for attribute sequence merging. Then, the data set is partitioned by cascaded isolated forest model and abnormal data are detected. Taking the data of a province’s wide-area measurement system as an example for experimental simulation, compared with LOF, Kmeans and IForest, under the same inspection time, the GRA-IForest model has achieved good inspection results and achieved a higher overall detection accuracy and lower standard deviation.

Random point generation plays an important role in assisting random sampling and is widely used in various disciplines. This paper proposes a new algorithm to generate random points in polygon based on Triangulation. Firstly, the polygons are triangulated, and then the number of random points in each triangle is allocated according to the triangle area. Finally, the given number of random points is generated inside the triangle. In the experiment, the results showed that the proposed algorithm is 20 times faster than the algorithm in QGIS software on average. And with the increase of the complexity of the polygon, the advantages of this algorithm are more obvious.

Early-age restrained creep influences the cracking properties of concrete. However, conventional creep measurements require a large number of tests to predict the restrained creep as it is influenced by the combined effects of variable temperature, creep recovery, and varying compression and tension stresses. In this work, a double feedback control method for temperature stress testing was developed to measure the early-age restrained creep of concrete. The results demonstrate that the conventional single feedback control method neglects the effect of restrained elastic deformation, thus providing a larger-than-actual creep measurement. The tests found that the double feedback control method eliminates the influence of restrained elastic deformation. The creep results from the double feedback method match well with results from the single feedback method after compensation for the effects of restrained elastic deformation is accounted for. The difference in restrained creep between the single and double feedback methods is significant for concrete with a low modulus of elasticity but can be neglected in concrete with a high modulus of elasticity. The ratio between creep and free deformation was found to be 40&ndash, 60% for low, moderate, and high strength concretes alike. The double feedback control method is therefore recommended for determining the restrained creep using a temperature stress testing machine.

Cu-doped quantum dots( QDs) were used as color converting materials for preparing efficient white light-emitting diodes( LEDs). The Cu-doped QDs synthesized by chemical method showed composition-tunable emission from green to deep red and large Stokes shifts. By using the combination of green light-emitting Zn In S∶ Cu QDs and red emitting Zn Cd S∶ Cu QDs with blue Ga N chips,a high color rendering white LED was fabricated. The resulting three-band RGB QD-white LED exhibits high performance with luminous efficacy of 71 lm / W,color rendering index up to 94,CIE-coordinates of( 0. 352 4,0. 365 1),and color temperature of 4 788 K. Based on the changes in the photoluminescence lifetimes of Cu-doped QDs,it is found that the energy transfer process from green Zn In S∶ Cu QDs to red Zn Cd S∶ Cu QDs can be negligible,because the red QDs had no absorption at green band. These results suggest that Cu-doped QDs are promising for solid state lighting.

The study was aimed to compare the effects of standard and augmented acupuncture on depressive symptoms and sleep disturbances in patients with depression. This is a randomized, single-blind, multicenter trial. 140 subjects with clinical insomnia (score of ≥ 7 on the Pittsburgh Sleep Quality Index (PSQI)) were randomized to the standard (LI4, LIV3, EX-HN3, and GV20) or augmented (LI4, LIV3, EX-HN3, GV20, LU7, and KID6, including intradermal needles for sustained treatment) acupuncture groups. Participants received two sessions weekly for six weeks. In trial, The primary outcomes were improvements in PSQI and the Hamilton Rating Scale (HAMD). Secondary outcomes were treatment credibility and adverse events. Outcomes were assessed at baseline, week 3, end of treatment, and 4-week follow-up. From the 105 randomized patients, 89 completed the trial and were included in the final analyses. Better efficacy was observed in the augmented group compared with the standard acupuncture to improve the PSQI and HAMD at week 3, end of treatment, and 4-week follow-up (all p

A deep learning processor with 8 gated recurrent neural network (RNN) accelerators is proposed in this paper. It features on-chip incremental learning by numerical and local gradient computation enhancement. Extra precision of training is obtained without extending the bit-width. Tri-mode weight access (DMA/FIFO/RAM) improves the throughput during incremental learning. The number multipliers and activation function engines are reduced by hardware sharing. The processor is fabricated in 65nm CMOS, consumes 155mW at 400MHz /1.2V or 6.6mW at 20MHz /0.8V. It achieves a peak throughput of 54.2Kfps and energy efficiency of 0.24μJ/classification on MNIST. Demonstrations are accomplished on sequential AI tasks such as text-based motion detection and real-time wake-up word speech recognition.

Pairing-free certificate-less two-party authenticated key agreement (CT-AKA) protocol is computation-efficient, easily manageable, and less key escrow dependent compared to traditional pairing-based identity-based protocol. In this paper, we propose four types of attacks on CT-AKA, present a pairing-free CT-AKA protocol and analyze its security in Lippold model. Compared with relevant CT-AKA protocols, our protocol is more efficient, secure and practical to apply.

Atmospheric aerosol is one of the most important factors that cause the random variation of solar radiation intensity. In view of the problem that the atmospheric aerosol optical depth (AOD) is difficult to obtain real-timely and conveniently with high accuracy, estimation model of AOD using PM concentration is proposed in this paper. Two kinds of modeling methods BP neural network and support vector machine are adopted respectively to establish the estimation model, and contrast of their prediction result is performed. Experiment result indicate that both support vector machine(SVM) and BP neural network have strong nonlinear fitting ability and easy to realize; BP neural network model needs shorter computation time than SVM model, while the SVM model is more accurate than BP neural network model.

Photovoltaic (PV) power prediction is a key technology to improve the control and scheduling performance of PV power plant and ensure safe and stable grid operation with high-ratio PV power generation. In recent years, the frequent occurrence of hazy weather has seriously influence on the output power of PV panels, aiming at this problem, output power attenuation characteristic test is implemented for PV panels with dust deposition, by taking PM accumulated concentration and installation angle as input variables, a output power attenuation rate prediction model for PV panels is proposed based on BP neural network. Experiment result indicates that the presented BP neural network prediction model has the virtues of high precision and good generalization ability.

With the high-speed development of the Internet, a growing number of Internet users like giving their subjective comments in the BBS, blog and shopping website. These comments contains critics’ attitudes, emotions, views and other information. Using these information reasonablely can help understand the social public opinion and make a timely response and help dealer to improve quality and service of products and make consumers know merchandise. This paper mainly discusses using convolutional neural network (CNN) for the operation of the text feature extraction. The concrete realization are discussed. Then combining with other text classifier make class operation. The experiment result shows the effectiveness of the method which is proposed in this paper.

Linux containers have recently gained more popularity as an operating system level virtualization approach for running multiple isolated OS distros on a control host or deploying large scale microservice-based applications in the cloud environment. The wide adoption of containers as an application deployment platform also attracts attackers’ attention. Since the system calls are the entry points for processes trapping into the kernel, Linux seccomp filter has been integrated into popular container management tools such as Docker to effectively constrain the system calls available to the container. However, Docker lacks a method to obtain and customize the set of necessary system calls for a given application. Moreover, we observe that a number of system calls are only used during the short-term booting phase and can be safely removed from the long-term running phase for a given application container. In this paper, we propose a container security mechanism called SPEAKER that can dramatically reduce the number of available system calls to a given application container by customizing and differentiating its necessary system calls at two different execution phases, namely, booting phase and running phase. For a given application container, we first separate its execution into booting phase and running phase and then trace the invoked system calls at these two phases, respectively. Second, we extend the Linux seccomp filter to dynamically update the available system calls when the application is running from the booting phase into the running phase. Our mechanism is non-intrusive to the application running in the container. We evaluate SPEAKER on the popular web server and data store containers from Docker hub, and the experimental results show that it can successfully reduce more than 50% and 35% system calls in the running phase for the data store containers and the web server containers, respectively, with negligible performance overhead.

Aortocaval compression by the gravid uterus, low baseline vasomotor tone, and spinal anesthesia-related sympathetic blockade contribute to spinal anesthesia-induced hypotension during cesarean delivery. The finger perfusion index (PI) can predict spinal hypotension by reflecting baseline vasomotor tone, but cannot directly reflect aortocaval compression by the gravid uterus. This study aimed to examine whether baseline toe PIs predict the incidence of maternal hypotension and reflect aortocaval compression by the gravid uterus during cesarean delivery under spinal anesthesia.One hundred parturients undergoing elective cesarean delivery were enrolled. The relationship between baseline toe PI and the incidence of hypotension after induction of spinal anesthesia was quantified using area under the receiver operator curves, and results compared for the right and left toe PIs.The area under the receiver operator curves for left and right toe baseline PIs were 0.81 (95% confidence interval, 0.71-0.88) and 0.76 (95% confidence interval, 0.66-0.84), respectively. After induction of spinal anesthesia, the toe PIs did not change in parturients with hypotension, but increased significantly among those who did not develop hypotension.Our study demonstrated that baseline toe PIs were inversely associated with the incidence of postspinal hypotension during cesarean delivery. Continuous monitoring of toe PIs during induction of spinal anesthesia might help to predict the development of postspinal hypotension and reflect the aortocaval compression by the gravid uterus.

The widely used technologies of Selective Catalytic Reduction (SCR), Non-selective Catalytic Reduction (SNCR) and hybrid SNCR-SCR for coal-fired boiler in China are reviewed. The technical characteristics of different processes and transformation methods are compared. Analysis is made about the advantages of each technology and the major problems in the retrofitting. The proposal for the corresponding problems is presented. Reference is provided for coal-fired boiler denitrification transformation in China.

The Shanshucao landslide is a recent landslide that occurred in the China Three Gorges Reservoir area. It is next to the Daling Hydropower Station landslide, one of the geological hazard professional monitoring points in the China Three Gorges Reservoir. The Shanshucao landslide had not shown a significant deformation during recent decades until September 2nd, 2014. On that day, the Shanshucao landslide abruptly started to move at around 9 a.m. local time, stopped at 13:19 p.m., and caused a 43.2 × 104m3 landslide mass which slipped into the Luogudong River, the secondary branch of Yangtze River. Fortunately, the local government gave an efficient early warning and organized a successful emergency evacuation. Nobody was injured or killed in this landslide failure event. The Daling Hydropower Station and its attached buildings were eradicated by the landslide. Posterior to the failure, a newborn free surface occurred on the dip slope. The remaining body of the landslide poses a great threat to the safety of both the village and the Three Gorges Reservoir operation. Subsequently, an emergency monitoring system has been placed on the slope to observe any subsequent deformation. By applying the kinematic model, this article will give a general outlook on the failure event and investigate the geological features which caused the slope instability. Also, the two inclined blocks models are introduced in the back analysis and show a good comparison to the site observation results. This article will provide guidance and suggestion for the stability analysis of similar highly weathered bedded landslides in the China Three Gorges Reservoir area.

For realizing to the triboelectrostatic separation of mineral matters from cleaned coal with density of

As e-commerce develops quickly and online product reviews dramatically increases, extraction of attribute words in the product review is of significance. In this paper, authors presented an efficient extraction method, with categorization by synonyms, based on ontology library, of product reviews attribute words under the big data environments. The experiment validated the approach and it improves the extraction efficiency of attribute words.

The sub-diffraction-limit spatially structured light patterns have attracted more and more attention for their important applications in many frontier scientific fields. The present paper aims at developing sub-diffraction-limit spatially structured beam patterns which might have great potential to improve the light performance in fields such as super resolution imagery, optical tweezer, micro/nano lithography, etc. Here, a variety of spatially structured beam patterns are obtained by the phase modulation of polarized beams and studied in detail experimentally and numerically. Firstly, a new kind of phase plate, which combines the merits of circular and vortex 2 phase plates, is proposed based on the wave front design; it is composed of two spiral-shaped phase plates with their phases changing from 0 to 2 and - to , respectively. Later, the phase plate is applied to the circularly polarized Gaussian beam modulation in a high NA system. By combining a self-made circular with a commercial vortex 2 phase plate, the designed new phase plate is implemented in the experiment. The morphology of the spatially structured light pattern, which is generated on the focal plane, is observed by a CCD camera in the experiment. The beam pattern presents a donut shape on the focal plane, while the dimension of the donut-shaped pattern becomes smaller as the imaging plane axially deviates from the focal plane. It is found that the beam patterns captured in experiment highly consist with the numerical simulation results carried out by the vectorial diffraction integral theory. It can be deduced that the spatially structured beam is capillary-shaped. Meanwhile, at the two ends of the capillary-shaped beam, the inner diameter is smaller than the diffraction limitation. Furthermore, the structured beam pattern presents a spatial voxel distribution with center and axis symmetry. Finally, the characteristics of the spatially structured beam patterns, which are generated by modulating circular, linear, radial and azimuthal polarized beams with the new designed phase plate, are analyzed and discussed in detail. It is found that for circular, linear, radial and azimuthal polarization, the full widths at half maximum (FWHMs) of the minimum dark spots in the horizontal direction are 0.31, 0.32, 0.24 and 0.36, respectively. On the optical axis, the FWHMs of the dark spots created by linearly, radially and azimuthally polarized light, are 0.8, 0.78 and 0.76 , respectively, and no axial intensity is found with circularly polarized beam incidence.