Miracle-dz/UniFAR-FTUs huggingface dataset:
A Comparative Analysis of Three-Phase, Multi-Phase and Dual Stator Axial Flux Permanent Magnet Synchronous Generator for Vertical Axis Wind Turbine

In this paper, the performances of all the three kinds of Axial type Multi-Pole Permanent Magnet Synchronous Generators (PMSG) namely Three-phase, Multi-phase or Five Phase and Double Stator fixed in Vertical Axis Wind Turbine (VAWT) were investigated and compared in order to get an optimal system. MATLAB/Simulink had been used to model and simulate the wind turbine system together with all the three types Permanent Magnet Generators. It was observed from the result that with the increasing number of pole in both low and high wind speed, the five phase generator produced more power than the other two generators. In general, it was observed that the responses of the Multi-phase generator at both high and low speed wind showed promising aspect towards the system followed by Dual Stator. But with the change of the variables such as wind velocity, turbine height, radius, area together with the generator pole pairs and stator resistance, the optimum system should be chosen by considering the trade-off between different configurations which were firmly analyzed and described in this paper.
Systematizing the Promotion of Reading: PLIA, an Interactive Platform

This article introduces PLIA platform, an innovative tool based on the portfolio of the Common European Framework of Reference for Languages, for students to develop and self-assess their comprehension, speed and reading action. Its main objectives are to systematize reading work, establish a shared assessment strategy, create an instrument for collecting information and finally offer the students an analysis of the evolution in their metacognitive development as readers. PLIA has been evaluated with a sample of 220 users of primary and secondary education during a school year, obtaining a trend of improvement of nearly 15% on average in terms of comprehension, speed and reading action. The number of readings per school term increased by more than 70% on average due to the users’ high degree of motivation since they knew their results and improvement areas throughout their reading process. This new system involves the whole family in their children's learning. It offers a point of reflection to establish objectives and learning strategies, self-evaluation and peer evaluation. It also helps the faculty to design the linguistic project of the centers, allowing institutions to verify good academic results and making it possible to obtain a quantitative result of the reading level of a specific group, a full grade, or the entire center.
Frequency domain pilot interval allocation optimization for compatible single-sideband modulation orthogonal frequency division multiplexing transmission with direct detection

Abstract. A simple frequency domain pilot interval allocation scheme is proposed for pilot-based channel estimation of a compatible single-sideband modulation direct detection optical orthogonal frequency division multiplexing transmission system. Compatible single-sideband modulation for orthogonal frequency-division multiplexing transmission with direct detection is strongly suggested to overcome chromatic dispersion without explicit dispersion compensation. The proposed optimal scheme can improve the channel estimation performance, by approximately three dB receiving sensitivity, without additional hardware or complex computation.
Small side-lobe filter design for multitone data-communication applications

An approach for realizing filter banks having improved side-lobe performance compared to approaches such as those based on inverse Fourier transforms (IFTs), especially for greater frequency differences from the passband frequencies, is presented. The approach is based on using a weighted-sum of near-adjacent IFT filters to realize the individual channel-bank filters, but with constraints added that results in significantly improved stopband performance while still achieving small reconstruction errors. The proposed channel banks are suitable for realizing multitone digital data communication systems, such as Asymmetric Digital Subscriber Line (ADSL) systems, where stopband performance is critical. Under the conditions of maximal decimation, the reconstruction is not perfect, but aliasing errors are small enough to be negligible in practical communication systems. For some cases, the filter coefficients can be determined exactly without using optimization. Given the frequency-weighting coefficients reported herein, near-optimal multirate filter banks may be designed exactly without optimization for all even n.
Gastric Schwannomas Misdiagnosed as GIST: A Comparative Study of Clinic Strategies Based on Membrane Marker Detection

: Gastric schwannomas are one of the rarest gastric tumors originating from the nerve plexus of the gut wall. Because most of these tumors don’t have any specific symptom and the majority of gastric mesenchymal tumors are gastrointestinal stromal tumors (GISTs), many are therefore misdiagnosed as GISTs. In addition, gastric schwannoma is the benign and slow-growing lesion in the stomach, but GISTs had poor outcomes due to lack of response to nonsurgical interventions. In our study, we analyzed two cases of these tumors. Computer tomography (CT), contrast-enhanced CT, gastroscopy, endoscopic ultrasonography (EUS) were applied to diagnose these two patients. In addition, histological examination and immunohistochemistry (IHC) were used to confirm the final diagnosis. All imageological examination such as CT, contrast-enhanced CT, gastroscopy and EUS, diagnosed these two patients as gastrointestinal stromal tumors. Surprisingly, after the subtotal gastric surgery, histological examination showed that these lesions were composed of spindle cells. Those cells presenting in the bundle or fence-like arrangement were mildly heterologous. The outcomes of immunohistochemistry of the cell membrane markers (CD117 / DOG-1 negative, CD34 mild positive or negative) were the exact opposite of the characteristic presentation of GIST. These pathological findings refused the primary diagnosis, and were in coincidence with the characteristics of gastric schwannomas. To our best knowledge, these tumors are really rare that only two cases could be reported and analyzed clinically. CT and EUS could help diagnose gastric schwannomas before pathological examination results, but in order to define this diagnosis correctly. Pathological examination and IHC staining should be applied after surgery. To avoid the recurrence, it is better to resect the lesion completely, regardless of the malignant or benign disease.
Investigation of supersonic jet flow using modal decomposition

Supersonic jet noise has been an important research topic for decades, both for its relevance within the aeronautical industry and for its scientific value. In the present study, the jet flow field produced by a slightly over expanded conical convergent-divergent nozzle was studied using modal decomposition. The nozzle exit Mach number is 1.58 at a nozzle pressure ratio of 4.0. The nozzle has an engine like geometry with a relatively sharp throat, creating an internal shock wave. Two different methods for modal decomposition were applied to the supersonic jet flow, namely Dynamic Mode Decomposition (DMD) and a method based on the Arnoldi algorithm. The DMD algorithm returns the eigenmodes of an approximate linear flow operator, which is constructed from the data set used in the algorithm. In the present study, the DMD algorithm was applied to observational data from a Large Eddy Simulation (LES) and 2D axisymmetric URANS simulation, respectively. The Arnoldi algorithm uses a 2D linearized flow solver to project the linear flow dynamics onto a reduced order Krylov subspace and computes the eigenmodes of that projection. Here, A steady state RANS solution of the jet flow was used as a reference state in the linear solver. The Results of the Arnoldi analysis for a azimuthal wavenumber m = 0 were directly compered with the DMD modes of a URANS simulations. It was found that both methods produce nearly identical modes in this case. The DMD modes of the LES data are comparable with the Arnoldi and URANS DMD modes in terms of frequency, acoustic radiation, and shock-cell movement. They were however, found to be significantly more damped. An additional Arnoldi analysis was performed with azimuthal wavenumber m = 1 and the resulting least damped mode had a frequency close to the experimentally observed screech frequency for the same nozzle geometry and operating condition. An animation of the evolution of the eigenmode reveals a feedback loop mechanisms that might contribute to the formation of screech tones.
Design Thinking and Cloud Manufacturing: A Study of Cloud Model Sharing Platform Based on Separated Data Log

To solve the product data consistency problem which is caused by the portable system that cannot conduct real-time update of product data in mobile environment under the mass customization production mode, a new product data optimistic replication method based on log is presented. This paper focuses on the design thinking provider, probing into a manufacturing resource design thinking cloud platform based on manufacturing resource-locating technologies, and also discuss several application scenarios of cloud locating technologies in the manufacturing environment. The actual demand of manufacturing creates a new mode which is service-oriented and has high efficiency and low consumption. Finally, they are different from the crowd-sourcing application model of Local-Motors. The sharing platform operator is responsible for a master plan for the platform, proposing a open interface standard and establishing a service operation mode.
Effect of tocotrienol on the primary progression of nonalcoholic steatohepatitis in a mouse model

Tocotrienol (T3), a vitamin E (Vit E) isoform, is known to have both biological and antioxidant effects. Although alpha-tocopherol (α-Toc), another isoform of Vit E is suggested to be a useful treatment against nonalcoholic steatohepatitis (NASH), the effect of T3 on NASH is unclear. This study aimed to comparatively evaluate the effects of T3 and α-Toc on NASH in the early stage of NASH progression, using a recently established NASH mouse model induced by a choline-deficient l-amino acid-defined high-fat diet (CDAHFD). Six-week-old male mice were divided into four groups (n = 6 per group) and fed the CDAHFD for 1 week. The first group was given no other treatment (Pre). The other three groups continued the CDAHFD plus daily oral administration of Vit E-free corn oil (Control), corn oil containing α-Toc, or corn oil containing T3 for additional 2 weeks. Neither Vit E treatment changed the histologic features of NASH, but T3 significantly reduced the mRNA expression of several genes related to inflammation and fibrosis and α-Toc did not. These results suggested that oral T3 treatment was more effective than α-Toc at suppressing hepatic inflammation and fibrosis in the early stage of NASH progression in CDAHFD model mice.
A Multi-weight Based Clustering Algorithm for Wireless Sensor Networks

The energy supply of nodes will be limited strictly in the wireless sensor networks (WSN). Considering the characteristic, a new scheme called Multi-weight Based Clustering Algorithm(MWBCA) is presented . Based on the LEACH, MWBCA take into consideration many factors such as residual energy, have been the time as a cluster heads and the number of node's neighbors. Elects cluster head relying on the calculated weight clustering algorithm. The simulation results show that compared with LEACH the scheme effectively balance the load of cluster heads, and prevent the cluster heads from becoming the bottleneck effectively. Abstract. W sieciach bez(przewodowych energia zasilania wezlow moze byc ograniczona. Zaprezentowano nowy schemat nazwany Multi-weight Based Clustering Algorithm(MWBCA). Wzieto pod uwage takie parametry jak energie szczątkową, liczbe sąsiadujących wezlow. Zaproponowany algorytm rownomiernie obciąza glowice klastrow. (Wielowagowy algorytm klastrow w bezprzewodowej sieci czujnikow)
Spatial Characterization of GNSS Multipath Channels

There is a growing interest in detecting and processing Global Navigation Satellite System (GNSS) signals in indoors and urban canyons by handheld devices. To overcome the signal attenuation problem in such adverse fading environments, long coherent integration is normally used. Moving the antenna arbitrarily while collecting signals is generally avoided as it temporally decorrelates the signals and limits the coherent integration gain. This decorrelation is a function of the antenna displacement and geometry of reflectors and angle of arrival of the received signal. Hence, to have an optimum receiver processing strategy it is crucial to characterize the multipath fading channel parameters. Herein, Angle of Arrival (AoA) and Angle Spread (AS) along with signal spatial correlation coefficient and fading intensity in GNSS multipath indoor channels are defined and quantified theoretically and practically. A synthetic uniform circular array utilizing a right-hand circular polarized (RHCP) antenna has been used to measure the spatial characteristics of indoor GNSS fading channels. Furthermore, rotating effect of a circular polarized antenna on the synthetic array processing and AoA estimation has been characterized. The performance of the beamforming technique via array gain is also assessed to explore the advantages and limitations of beamforming in fading conditions.
Fundamental periods of steel concentrically braced frames designed to Eurocode 8

A two‐phase research program has been undertaken to investigate fundamental natural periods of concentrically braced frames (CBFs) designed according to Eurocode 8 (EC8). In the first phase of the program, over 83,700 buildings were designed, and the accuracy of the lower bound expressions given in well‐known design specifications was evaluated. The results indicated that the lower bound expressions given in EC8 and National Building Code of Canada (NBCC) are acceptable. Although all structures had periods longer than the ones estimated by the EC8 expression, a few structures had shorter periods than the ones estimated by the NBCC expression. In general, the lower bound expressions given in EC8 and NBCC were found to provide over conservative estimates for most cases. In the second phase of the program, a simple hand method was developed to estimate the fundamental natural periods of CBFs designed to EC8. This method requires the use of inelastic top story drift ratio as a parameter to quantify stiffness characteristics. The drift ratios were extracted from the design pool developed as a part of the first phase and represented by simple mathematical relationships. Evaluation of the proposed method indicated that the method is accurate in providing estimates of the fundamental period. To safeguard against providing unconservative estimates, the method was modified to arrive at a new lower bound expression, which significantly improves the estimates compared with the ones provided by the existing expressions. Copyright © 2013 John Wiley & Sons, Ltd.
Impacts of Perceived Security and Knowledge on Continuous Intention to Use Mobile Fintech Payment Services: An Empirical Study in Vietnam

Stepping into the technological boom time, Vietnam has integrated into the trends of using Fintech applications as a new means of payment. This article evaluates the relationship between perceived security (including service security and platform security), knowledge, confirmation, perceived usefulness, satisfaction, attitude and lastly enterprise’s images regarding the service and continuous intention to use Fintech services. The survey results of 352 Vietnamese customers using Fintech services, reliability test and extended post-acceptance model (EPAM) which is based on PAM and ECT models. From the survey, we further found out that perceived security (BSS) has no direct impact on continued intention to use, while perceived security (BSS) has positive impact on confirmation (CON), similarly, perceived usefulness (PU) and user’s satisfaction (SES). Knowledge of the Mobile Fintech payment service (KNOW) has a positive impact on perceived security (BSS). Confirmation (CON) has a positive influence on perceived usefulness but in the meanwhile it has created a negative impact on user’s satisfaction (SES). From the survey it can also tell that user’s attitude (ATT) and enterprise image (IMG) both have a positive impact on continual intention to use Fintech services. From the research results, we also propose some recommendation to enhance the continual intention to use Fintech services in Vietnam.
Color image encryption using linear feedback shift registers by three dimensional permutation and substitution operations

This study proposes a scale-invariant digital color image encryption method that includes three main steps the pre-substitution, the 3D scale-invariant modular chaotic map, and the post-substitution. 1) The pre-substitution: At the first stage, pixels of plain sub-images are XOR with different key patterns. By starting from one of the plain sub-images, the pixels of the selected plain sub-image is XOR with the initial key, and the result is used as the cipher sub-image and as the next key pattern for performing XOR operations on the next plain sub-image. In other words, the XOR result of each step is used as the next step key pattern, 2) the 3D permutation: At the second stage, first the red, green, and blue components of a $M times N$ color image is divided to m sub-images with size $n times n$. Then m sub-images are partitioned into $k = leftlceil {frac{m}{n}} rightrceil $ windows $W_1$ to $W_k$ with size $n times n$ sub-images. The last two i؟¼$W_k-1$ and i؟¼$W_k$ windows may be overlap in several sub-images. Finally, the three-dimensional modular chaotic maps are performed on the $W_1$i؟¼ to $W_k$i؟¼ windows with MIPF keys and selected by LFSR, 3) the post-substitution: At the final stage, the $M times N$ color image is initially divided into a set of color sub-images. Then, the 24-bit pixels of each sub-images are circularly shifted with several bits specified in the secret key. Modular arithmetic is used in the 3D scale-invariant chaotic maps to increase keyspace and enhance security parameters. With repeat at least one round of main steps, the proposed encryption scheme reaches optimum parameter values and it is highly sensitive to minor differences in both secret key and plain image. The proposed encryption method for images improves the standard parameters of evaluation such as entropy, adjacent pixel correlations, histogram, and expanded keyspace.
Protocols Design and Area Division for Privacy-Preserving Delay-Aware Authentication in Vehicular Networks

The problem of security and privacy in vehicular networks is a vital issue, and it attracts increasing attention to address the security vulnerability of vehicular networks. Authentication solutions are introduced for vehicular networks to ensure that network access is only given to authorized users. Among authentication solutions for vehicular networks, group signature not only offers authentication services, but also provides conditional privacy preservation. However, the current group signature approach for authentication in vehicular networks exhibits time-consuming signature verification and poor scalability. To overcome these shortcomings, we propose a flexible and efficient delay-aware authentication scheme (FEDAS) by utilizing edge computing paradigm. In the proposed architecture, we design the authentication group maintaining mechanism and develop the collaborative CRL management method. Moreover, we propose transition zone to solve the reliable authentication problem in border area of the group. To implement the proposed architecture, we propose a model for calculating the length of local CRL, which establishes the relationship between the size of a sub-area and the length of local CRL. And we also design a method for area division based on the length of local CRL, which provides division principle for our authentication scheme. We conduct extensive simulations to verify the effectiveness of our proposed scheme.
Improved performance of Cu-Co CPP GMR sensors

We have fabricated and tested GMR magnetic sensors that operate in the CPP mode. This work is a continuation of the ultra-high density magnetic sensor research introduced at INTERMAG 96. We have made two significant modifications to the process sequence. First, contact to the sensor is made through a metal conduit deposited in situ with the multilayers. This deposition replaces electroplating. This configuration ensures a good electrical interface between the top of multilayer stack and the top contact, and a continuous, conductive current path to the sensor. The consequences of this modification are an increase in yield of operational devices to /spl ges/90% per wafer and a significant reduction of the device resistance to /spl les/560 m/spl Omega/ and of the uniformity of the device resistance to /spl les/3%. Second, the as-deposited multilayer structure has been changed from [Cu 30 /spl Aring//Co 20 /spl Aring/]/sub 18/ (third peak) to [Cu 20.5 /spl Aring//Co 12 /spl Aring/]/sub 30/ (second peak) to increase the GMR response. The best second peak CPP GMR response from a single device is 39%. The sensitivity of that device is 0.13 %/Oe.
Friction Stir Welding as a Joining Process through Modified Conventional Milling Machine: A Review

Through this paper an attempt is made to review some techniques for modifying vertical milling machine to achieve special welding technology of friction stir welding (FSW) which is a solid-state joining process. As this process of joining is achieving success daily at the level of research but its excess to workshops having lesser capital is limited because of costlier machines. This problem inspired to review techniques so that FSW can be achieved in workshops with little modifications in the conventional machine like vertical milling. Modification of tool design and redesign of clamping system are discussed so that conventional milling machine can be used for friction stir welding. The major applications of FSW in the field of aerospace, shipbuilding and automotive are also reported.
RBOTUE: Rumor Blocking Considering Outbreak Threshold and User Experience

When a rumor breaks out in online social network (OSN), it can lead to significant negative impact on human society, especially in the context of public emergencies, such as pandemic. Toward restraining rumor outbreak in OSN, one of the effective containment measures is to block influential users to minimize the spread of rumors. However, most of previous efforts ignore the imbalance between the cost and effect of rumor suppression. To fill this gap, from the perspective of public opinion crisis, a dynamic rumor spread model called PISIR model is established, which takes into account the overall popularity and individual tendency of rumors. Based on this model, two rumor blocking algorithms considering outbreak threshold and user experience, called 1-Hop and 2-Hop RBOTUE algorithms, are proposed, respectively. In the algorithms, a hyperbolic discount effect-based user experience mode is introduced as the constraint to ensure the user experience in OSN, then the blocking strategy is implemented on the selected subset of nodes to keep the rumor spread scale always below the outbreak warning line. The experimental results in two synthetic networks and four real OSNs indicate that both 1-Hop and 2-Hop RBOTUE algorithms have lower rumor infection rate and require less number of blocked nodes, which means that proposed algorithms can achieve better blocking performance with less restraining cost of rumors in mainstream social networks, and the two algorithms also have different adaptability for different OSNs.