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Objectives: To determine the value of cardiac magnetic resonance (CMR) quantitative tissue markers in the diagnosis of acute myocarditis, compared with the traditional Lake-Louise criteria (LLC). Methods: Totally 35 cases of patients diagnosed as acute myocarditis in Beijing Anzhen Hospital and 35 healthy volunteers were enrolled in our study, from May 2014 to August 2016. CMR protocol included quantitative assessment of T1 relaxation times using modified Look-Locker inversion recovery (MOLLI), extracellular volume fraction (ECV), T2 relaxation times. Established Lake-Louise criteria (LLC) consisting of T2-weighted signal intensity ratio (T2-ratio), early gadolinium enhancement ratio (EGEr), and late gadolinium enhancement (LGE) were assessed. Receiver operating characteristics analysis was performed to compare diagnostic performance. Results: T2-ratio (1.85±0.21 vs. 1.58±0.15; P = 0.002) and EGEr (3.87±1.62 vs. 2.15±1.36; P =0.024) were significantly higher in myocarditis subjects than in control subjects. Non-ischemic LGE was found in 27/35 (77.1%) of all myocarditis patients. Regional myocardial edema was found in 23/35 (65.7%) of all myocarditis patients. Myocardial T1 and T2 relaxation times and ECV were significantly prolonged in the myocarditis group compared with the control group (T1 native relaxation time: 1310±62 vs. 1247±27 ms, T2 native relaxation time: 65.46±8.49 vs. 55.17±3.59 ms; ECV: 34.47±8.52 vs. 27.68±5.82, P < 0.001, respectively). Areas under the curve of native T1 (0.94) and T2 relaxation times (0.91) were higher compared with those of the other CMR parameters (T2-ratio: 0.73, EGEr: 0.72, LGE: 0.88, LLC: 0.90, ECV: 0.79). Combined with LGE, each native mapping technique outperformed the diagnostic performance of LLC (P < 0.01, respectively). A combination of native parameters (T1, T2 relaxation times) significantly increased the diagnostic performance of CMR compared with LLC without need of contrast media application (0.99 vs. 0.90; P < 0.05). Conclusion: CMR quantitative tissue markers has good diagnostic efficiency for acute myocarditis, it may be potential to replace the Lake-Louise criteria in the future in patients with contraindications for the use of gadolinium-based contrast agents.

In this paper, we propose a malware detection method based on feature library and machine learning. By using a combination of static and dynamic feature extraction method, we select 8 types of static features to build a feature library. In addition, for potentially unknown malwares, we use 9 groups of dynamic features to train a support vector machine model, and give interpretable detection results based on the influence of different features. To verify the performance of our method, we conducted various experiments on a total of 129,013 malware samples and compared the results with other schemes, demonstrating the effectiveness of our method.

With the development of the Internet, the amount of information on the Internet is increasing rapidly, which makes it difficult for people to select the information they really want. A recommendation system is an effective way to solve this problem. Fake users can be injected by criminals to attack the recommendation system; therefore, accurate identification of fake users is a necessary feature of the recommendation system. Existing fake user detection algorithms focus on designing recognition methods for different types of attacks and have limited detection capabilities against unknown or hybrid attacks. The use of deep learning models can automate the extraction of false user scoring features, but neural network models are not applicable to discrete user scoring data. In this paper, random walking is used to rearrange the otherwise discrete user rating data into a rating feature matrix with spatial continuity. The rating data and the text data have some similarity in the distribution mode. By effective analogy, the TextCNN model originally used in NLP domain can be improved and applied to the classification task of rating feature matrix. Combining the ideas of random walking and word vector processing, this paper proposes a TextCNN detection model for user rating data. To verify the validity of the proposed model, the model is tested on MoiveLens dataset against 7 different attack detection algorithms, and exhibits better performance when compared with 4 attack detection algorithms. Especially for the Aop attack, the proposed model has nearly 100% detection performance with F1 – value as the evaluation index.

Identity-Based Cryptograph (IBC) takes the user's identity (such as email address, mobile phone number, personal name, etc.) as the public key, which reduces the process of exchanging digital certificates and public keys, effectively reduces the complexity of key and certificate management in the public-key system, and makes the security system easy to deploy and manage. It is very suitable for end-to-end offline secure communication, cloud data encryption, attribute-based encryption, policy-based encryption of various occasions. In order to improve the safety level of end-to-end off-line safety communication in electric vehicle pile sharing application and reduce the system complexity, this paper proposes an identity authentication system solution based on identification algorithm.

The element vision in the graphic design further extends the meaning of the dimension, and introduces the imagination of the person into the graphic design element, so that the dimension in the graphic design element is greatly expanded, not only is limited to the real existing dimension in the nature and the environment, It is also an active collection and integration of social phenomena. A computer-aided multi-dimensional representation of graphic design visual elements is proposed. A computer-aided multi-dimensional representation of graphic design visual elements is presented. through the plane template characteristic matching method, the multi-dimensional characteristic equalization processing of the graphic design visual element is carried out, the graphic design visual image is subjected to the multi-dimensional information enhancement processing in the communication area, the spatial expansion and expression ability of the graphic design is improved, And the multi-dimensional expression of the graphic design visual element is carried out. The simulation results show that the method can improve the multi-dimensional expression of visual elements in graphic design, and improve the multi-dimensional expression of visual elements in graphic design.

Recent studies have shown that some inflammatory markers are associated with the prognosis of solid tumors. This study aims to evaluate the prognosis of glioma patients with or without adjuvant treatment using the systemic immune-inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), and platelet-lymphocyte ratio (PLR). All patients who were diagnosed with gliomas at the first and second affiliated hospital of Guangxi Medical University between 2011 and 2020 were included in this study. The optimal cutoff value of SII, NLR, and PLR was determined by X-tile software program. We stratified patients into several groups and evaluated the progression-free survival (PFS) and overall survival (OS) of SII, NLR, and PLR during the period of pre-surgical, con-chemoradiotherapy, and post-treatments. Multivariate Cox regression analyses were performed to detect the relationships between OS, PFS, and prognostic variables. A total of 67 gliomas patients were enrolled in the study. The cutoff values of SII, NLR, and PLR were 781.5 × 109/L, 2.9 × 109/L, and 123.2 × 109/L, respectively. Patients who are pre-SII

Pyrroline-5-carboxylate reductase 1 (PYCR1) is an enzyme involved in cell metabolism and is upregulated in cancer. However, the correlations of PYCR1 expression with the clinicopathological features and prognosis of renal cell carcinoma (RCC) remain unclear. The purpose of this study was to identify the expression of PYCR1 and its clinical relevance in RCC patients. PYCR1 mRNA expression differences between RCC and the adjacent normal renal tissues were assessed using the Cancer Genome Atlas database (TCGA). Subsequently, the expression of PYCR1 mRNA and protein were evaluated by quantitative real-time polymerase chain reaction, Western blot, and immunochemistry using 30 paired frozen samples of RCC and the adjacent normal renal tissues. The protein expression of PYCR1 was evaluated by immunostaining formalin-fixed, paraffin-embedded sections of RCC samples from 96 patients who underwent radical nephrectomy, and its relationship with clinical features were analyzed. Nonpaired t tests were used to statistically analyze the differences between the 2 groups. Cox univariable and multivariable analyses of overall survival (OS) among RCC patients were performed. The expression of PYCR1 mRNA was significantly upregulated in RCC tissues compared to adjacent normal renal tissues in the TCGA database (P

NoSQL data-stores are commonly used to provide flexibility and availability for big data handling. However, there is a lack of comprehensive studies about which NoSQL data-store performs the best from the two scalability aspects, (scale-up, and scale-out), in a distributed and parallel processing environment. This paper compares the popular NoSQL data-stores (Cassandra, HBase, and MongoDB) and analyzes the resulting performance. Our experiments measure throughput, latency, and run-time of the evaluated data-stores on a big data set that consist of standard benchmarking workloads. Our results provide that the performance of each NoSQL data-store varies according to two main factors, (a) the type of executed operation, (read, scan, update, write, and insert), and (b) the level of distribution.

The national audit is produced and developed to meet the objective requirements of national governance, and is a basic institutional arrangement within the governance system. In terms of its institutional attributes, legal status and functions, the national audit is the cornerstone of national governance and an important guarantee driving the modernization of governance. In this new historical era, the national audit needs to be appropriate to the new situation and new requirements of comprehensively deepening reform and enhancing the rule of law. We must accelerate the improvement of the audit system, enhance the breadth of coverage of audit supervision, comprehensively increase audit capacity, give greater effect to the functional role of audit and boost the modernization of the national governance system and governance capability.

Magnetic field in magnetic bearings is the physical medium to realize magnetic levitation, the distribution of the magnetic field determines the operating performance of magnetic bearings. In this paper, a thin-slice Fiber Bragg Grating-Giant Magnetostrictive Material magnetic sensor used for the air gap of magnetic bearings was proposed and tested in the condition of dynamic magnetic field. The static property of the sensor was calibrated and a polynomial curve was fitted to describe the performance of the sensor. Measurement of dynamic magnetic field with different frequencies in magnetic bearings was implemented. Comparing with the finite element simulations, the results showed the DC component of the magnetic field was detected by the sensor and error was less than 5.87%.

In order to solve the problem of slow transmission efficiency, small amount of information, short coverage distance, easy to be disturbed, and easy packet loss in the transmission process of traditional narrowband modules,based on HPLC, this paper designed and applied the intelligent technical scheme of smart grid measurement operation.

To solve the problem that users cannot use network resources efficiently, based on mobile edge computer network architecture,in a resource-constrained system, an energy-efficient offload strategy and a wireless resource joint optimization algorithm (EEJS) are proposed to achieve a balance between user diversity and MS diversity.

Objective: The aim of this study was to investigate the effect of vitamin D on the metabolic characteristics of polycystic ovary syndrome(PCOS) and its mechanism. Methods and Results: 155 cases of PCOS patients and 74 non-PCOS women withmatched age and BMI were enrolled in this study.Data were collected from May 2016 to November 2017. Plasma 25-hydroxyvitamin D[25(OH)D], metabolic markers, and sex hormones were measured. Homeostasis model assessment(HOMA-IR), triglyceride(TG), testosterone(T), free androgen index(FAI) and uric acid(UA) were significantly increased(P Conclusion: Serum level of vitamin D was lower in women with PCOS than controls. Vitamin D in overweight/obese women with PCOS was lower than normal-weight women with PCOS. Vitamin D is associated with insulin resistance and cardiovascular disease risk in overweight/obese women with PCOS. Disclosure S. Shanmei: None. L. Jiayi: None. L. Yikun: None. Q. Chengcheng: None. Y. Jiamiao: None. Y. Bi: None. D. Zhu: None.

HVDC Light is a new-type HVDC based on Voltage Sourced Converters Technology, applicable to small power transmission. HVDC Light using IGBT build up voltage source converter(VSC) and using microcomputer controlling PWM control technology, with simple operation pattern and output wave. The VSC technology have many more superiorities, such as small cubage, strong function, decreasing filter device an simplifying conversation structure. For these reasons, this technology is named HVD Light. Besides the superiorities of traditional HVDC, HVDC Light can be used for supplying to the isolated and distanced load, economically transmitting power to center load and connecting separated sources. Also, the control method of HVDC Light is much more flexible and multivariate. The voltage drop in the transmission line will be decrease and the voltage quality will be increased by using HVDC Light technology. In this paper, the control method and its application of HVDC Light will be most studied. Firstly, the mathematical model of HVDC Light and the DQ model of VS are established. Then the structure of control system and the basic control method are introduced for designing VSC controllers. The VSC controller is based on dual-close-loop control strategy. For validating the VSC controller, the MATLAB simulation models are established. It is demonstrated by simulation results that the controller is convenient flexible and efficient; moreover, the power flow and the stability of HVDC Light system can be controlled easily, all the basic control method can be achieved by this controller.

Compared to other energy storage form, SMES has prominent advantages. It is a mature superconducting power device in the power system. It owns a promising application prospects. This paper introduces operating principle, basic structure, the application in power system and other aspects about SMES. In addition, on the basis of understanding its different component parts, its core function, control strategy of power regulate is elaborated. A new effective improvement PWM control method is mentioned.

International audience; Content Delivery Networks (CDNs) are confronted with a sharp increase in traffic related to live video (channel) streaming. Previous theoretical models that deal with streaming capacity problems do not capture the emerging reality faced by today's CDNs. In particular, a modern CDN has to deliver a large set of independent non-divisible data streams, which need to be either delivered in whole, or not delivered at all. This constraint is not addressed in previous works. In this paper we identify a new, discretized streaming model for live video delivery in CDNs. For this model we formulate a general optimization problem and show that it is NP-complete. Then we study a practical scenario that occurs in real CDNs. We present a fast, easy to implement, and near-optimal algorithm with performance approximation ratios that are negligible for large network. To our knowledge, these are the first results for the discretized streaming model, and have both practical and theoretical importance in a topic of growing criticality.