Miracle-dz/UniFAR-FTUs huggingface dataset:
Low-dose or no aspirin administration in acute-phase Kawasaki disease: a meta-analysis and systematic review

Objective To compare the efficacy of low-dose or no aspirin with conventional high-dose aspirin for the initial treatment in the acute-phase of Kawasaki disease (KD). Design A meta-analysis and systematic review of randomised control trials and cohort studies. Methods All available articles that compared different dosage of aspirin in the acute-phase of KD published until 20 September 2019 were included from the databases of PubMed, Embase and Cochrane Central Register of Controlled Trials Central without language restrictions. Extracted data from eligible studies were reviewed by two authors independently and analysed by using RStudio software. Results Nine cohorts with a total of 12 182 children were enrolled. We found that low-dose (3–5 mg/kg/day) or no aspirin in the acute-phase KD was associated with reducing the risk of coronary artery lesions (CALs, OR=0.81, 95% CI 0.69 to 0.95). No differences were observed in intravenous immunoglobulin resistance, length of hospital stay and fever days after admission (OR=1.35, 95% CI 0.91 to 1.98; standard mean difference (SMD)=0.17, 95% CI −1.07 to 1.4; SMD=0.3, 95% CI −1.51 to 2.11) in the low-dose/no aspirin subgroup compared with the high-dose (≥30 mg/kg/day) aspirin subgroup. We did not identify any potential factors affecting the homogeneity of CAL risk as well as clinical important effects in all included studies. Conclusions Prescribing low-dose or no aspirin in the acute-phase of KD might be associated with a decreased incidence of CAL. However, additional well-designed prospective trials are required to support the theory.
Analysis of Delay Patterns and Correlations in Railway Traffic Data

Traffic itself can be a huge challenge for most commuters regardless of the transportation method of their choice. For example, it is inevitable to experience delays and congestion during rush hours. All commute methods have their own specific characteristics when it comes to delays cars and buses suffer from traffic jams and similar principles apply to railways as well. However, the causes of railway delays are not that straightforward and they need further investigation. According to our personal experiences most passengers are not aware of the reasons behind train delays even though they are usually encountered multiple times a day. In this paper I will present possible answers based on the data collected from the publicly available APIs of Hungarian State Railways over the past 1.5 years.
Building a Representation Context Based on Attribute Exploration Algorithms

In this paper we discuss the problem of constructing the representation context of a pattern structure. First, we present a naive algorithm that computes the representation context of a pattern structure using an algorithm which is a variation of attribute exploration. Then, we study a diﬀerent sampling technique for reducing the size of the representation context. Finally we show how to build such a reduced context and we discuss the possible ways of doing it.
Inhibition of G-protein signalling in cardiac dysfunction of intellectual developmental disorder with cardiac arrhythmia (IDDCA) syndrome

Background Pathogenic variants of GNB5 encoding the β5 subunit of the guanine nucleotide-binding protein cause IDDCA syndrome, an autosomal recessive neurodevelopmental disorder associated with cognitive disability and cardiac arrhythmia, particularly severe bradycardia. Methods We used echocardiography and telemetric ECG recordings to investigate consequences of Gnb5 loss in mouse. Results We delineated a key role of Gnb5 in heart sinus conduction and showed that Gnb5-inhibitory signalling is essential for parasympathetic control of heart rate (HR) and maintenance of the sympathovagal balance. Gnb5−/− mice were smaller and had a smaller heart than Gnb5+/+ and Gnb5+/− , but exhibited better cardiac function. Lower autonomic nervous system modulation through diminished parasympathetic control and greater sympathetic regulation resulted in a higher baseline HR in Gnb5−/− mice. In contrast, Gnb5−/− mice exhibited profound bradycardia on treatment with carbachol, while sympathetic modulation of the cardiac stimulation was not altered. Concordantly, transcriptome study pinpointed altered expression of genes involved in cardiac muscle contractility in atria and ventricles of knocked-out mice. Homozygous Gnb5 loss resulted in significantly higher frequencies of sinus arrhythmias. Moreover, we described 13 affected individuals, increasing the IDDCA cohort to 44 patients. Conclusions Our data demonstrate that loss of negative regulation of the inhibitory G-protein signalling causes HR perturbations in Gnb5− /− mice, an effect mainly driven by impaired parasympathetic activity. We anticipate that unravelling the mechanism of Gnb5 signalling in the autonomic control of the heart will pave the way for future drug screening.
Creating Directed Weighted Network of Terms Based on Analysis of Text Corpora

One of the most urgent problems of natural language processing -formalization and creation ontological models of subject domains based on the text corpora is considered. In this work, a new approach for determining the weights of links in the network of terms that correspond to certain concepts of the considered subject domain is considered. In particular, applying the proposed approach for determining the weights of links in the network of terms, the terminological ontology of the subject domain that related to an ecological footprint was created as an approbation. Further analysis of the created model made it possible to determine the most influential and significant links between the corresponding nodes in the network of terms that in turn correspond to certain concepts of the considered subject domain. The proposed and considered approaches and methods were programmed and using the software for modeling and visualization of graphs – Gephi the built directed networks of terms were visualized for better visual perception. The weighted directed networks of terms built according to the proposed approach can be used for automatically creating terminological ontologies of subject domains with the participation of experts. Also, the research result can be used to create personal search interfaces for users of information retrieval systems and also can be used in navigation systems in data-bases. It should help users of such systems simplify the process of searching the relevant information.
Vibrations and Acoustic Noise Analyses of Modular SPM Machines

This paper investigates the vibrations and acoustic noise behavior of some equal tooth width, unequal tooth width and modular surface mounted permanent magnet machines. The investigations are based on finite element analysis (ANSYS) and the performances such as radial force (and airgap magnetic pressure), vibration modes (shapes and resonant frequencies), radial displacement and acceleration of the stator, and sound pressure level have been calculated and compared amongst different machines. It has been found that due to the existence of flux gaps in stator alternate teeth, at the same operating condition (phase current and rotor speed), the modular machines can reduce the sound pressure level by up to 15dB compared to the equal tooth width permanent magnet machines. A similar reduction in sound pressure level can be achieved by adopting the unequal tooth width permanent magnet machine.
Optimal Design of Integrated Planar Inductor for a Hybrid Totem-Pole PFC Converter

Optimal design of the planar integrated inductor is presented for a hybrid totem-pole bridgeless power factor correction (PFC) converter with a high frequency GaN-based switching leg and a low frequency Si-diode-based switching leg. The switching frequency of the PFC converter can be up to MHz by adopting critical mode (CRM) soft-switching operation mode. In order to achieve lower height and high power density, the inductor is split into two small inductors and then implemented with a planar integrated magnetic core. Footprint and power loss of the inductor with different magnetic core structure are analyzed and compared. Optimal design method of the integrated inductor is presented as well. Finally, a 700kHz 400W PFC converter is designed and tested to verify the effectiveness of the hybrid totem-pole bridgeless PFC converter with a planar integrated inductor.
Implementation of a Magnetometer based Vehicle Detection System for Smart Parking applications

The time lost looking for a free parking spot in a city impacts negatively not only on the mood of the drivers but also on the environment in terms of air quality and fuel consumption. The vehicle detection can be considered as the most important task in Smart Parking systems as it allows to automatically monitor the occupancy state of the parking spots in a city. In this paper, we implement and test a vehicle detection system based on a magnetometer sensor, which is part of a complete Smart Parking system under development at the University of Cagliari. After a preliminary analysis conducted to test the performance of the magnetometer, we conducted two specific experiments to investigate the suitability of the magnetometer as the mean to detect the presence of a vehicle in the parking spots. The first experiment, involving 15 different vehicles, has demonstrated that the magnetometer can be used to reliably detect the presence of a vehicle in a parking spot if it is placed under the front or rear axle of the vehicle. From the second experiment it resulted that, when considering 3 adjacent parking spots and only one magnetometer placed in the central spot, it is not possible to reliably detect the vehicles parked on the adjacent spots. Therefore, one magnetometer for each considered parking spot is needed.
Investigation on the potential of PCB winding technology for high-dynamic and high-precision linear actuators

Slotless linear permanent magnet actuators are widely used in applications that require a high dynamics and precision in the motion. However, the windings limit the performances of such motors. A new technology, that consists in printing the windings on a PCB has shown promising results for rotary motor, as well as for tubular linear motor. This paper proposes to study the potential of this technology for a planar linear motor. To that end, an analytical model of the actuator is first presented, from which performance criteria related to the force density and to the force ripple are derived. Then, using those criteria, the results of a bi-objective optimization, based on an existing linear actuator, are presented. Finally, a first prototype is built and characterized in a test bench with a view to validate the optimization results and to make a comparison with the existing motor.
Predictive zero-sequence control of parallel three-phase active rectifiers

Model Predictive Control has been recently considered for many power electronics control applications. The reasons of such interest are the many benefits it can provide over classical control techniques. As for example of these advantages, Model Predictive Control avoid cascaded control loops, easily include non-linear constraints in the control algorithm and provides a fast dynamic. In particular, Finite Control Set Model Predictive Control directly considers the discrete power electronics converters state to perform the control action, thus simplifying the control derivation and implementation. This paper proposes an application of Finite Control Set Model Predictive Control to parallel three-phase active rectifiers control, where active and reactive power, DC voltage and zero sequence power are controlled within one single control loop. The proposed control approach is validated through simulation in several operating conditions.
An IoT-based Air Quality Monitoring Platform

Air pollution is a major environmental problem and causes serious damage to human health. Considering the COVID-19 pandemic scenario, the importance of monitoring and controlling pollution emissions becomes more relevant and fundamental for combating the disease. Seeking to contribute with technological tools, this work presents a proposal for a system based on IoT using low sensors to monitor the most novice pollutants to health, according to the recommendations of the World Health Organization. The proposal presents the development in the hardware layer of a device able to measure the concentrations of the following pollutants: Particulate Material (PM2.5 and PM10), Ozone, Carbon Monoxide, Nitrogen Dioxide and Ammonia by means of three sensors, respectively, PMSA003, MICS-6814 and MQ-131. The device is be equipped with the ESP-WROOM-32 microcontroller that has a Wi-Fi and Bluetooth wireless interface that will allow data to be sent to a server in the cloud. It is important to note that what differentiates from the proposal from others is the implementation of periodic notifications and the sending of alerts for cases in which a given pollutant has reached the maximum acceptable concentration.
Modulated Model Predictive Control for 3TSMC

In this digest, the modulated model predictive control (MMPC) method for the three-phase third-harmonic injection two-stage matrix converter (3TSMC) is proposed, where the inverter and the current injection link are independently modulated. The sinusoidal input currents are achieved by the predictive control of the current injection link, simultaneously the output currents are obtained by the predictive control of the inverter. The proposed MMPC method guarantees good system performance at low switching frequency, and it eliminates the weight factor used to balance the input and output performance. The simulation results verify the correctness of the proposed method.
Matching Images On The Face Of A Buddha Statue Using The Scale Invariant Feature Transform (SIFT) Method

The condition of the statue in Indonesia at this time many are missing, especially the face of the statue. 504 Buddha statues in the Borobudur temple, there are 248 statues which are now in a headless condition. The condition of the lost statue face is due to being stolen, still buried in the area around the temple, or has changed hands to another party. To find the statue’s head according to the face, a matching image is needed, one of which uses the sift method. Buddha face statue matching can be done based on the characteristics of hair, eyebrow shape, lips, head shape or attributes found on the head of the statue. The image matching method can describe an image with a specific keypoint using Scale Invariant Feature Transform (SIFT), where each keypoint has a gradient orientation (GO) and gradient magnitude (GM) which are processed into features in the image registration process. The purpose of this study is to match the face images of Buddha statues with different angles. This study aims to match the face image of the original statue with the image of the statue chosen from different angles. The results of this study are that the same image with different angles obtains 90% accuracy.
The Active Gate Driver for Switching Loss Reduction of Inverter

This paper represent the active gate driver to reduce switching loss of inverter systems. The proposed active gate driver is more proper component for high power conversion systems. The passive driving method using a fixed gate resistance has a disadvantage that it can cause a large turnoff surge voltage when it is cut off because it uses the same turnoff gate resistance as a normal state in which a large collector current flows, such as a short circuit. However, in case of the active gate driver, In order to drive the IGBT in the SOA area, a method to reduce the turn-on loss of the IGBT and the turnoff loss of the reflux diode is proposed without changing the optimally set di/dt. The validation of proposed gate driver was verified by laboratory prototype.
Disponibilité des HAP dans les sols de friches industrielles et influence des conditions rhizosphériques

Les HAP contaminent de nombreux sols de friches industrielles. Leur dissipation par biodegradation est limitee par leur faible disponibilite. Nous avons etudie les facteurs controlant cette disponibilite dans les sols ainsi que les variables rhizospheriques qui la font varier. Nous avons prealablement defini que la disponibilite des HAP pouvait etre estimee par une extraction en 30 heures sur une resine adsorbante, le Tenax®. Ce protocole a permis de comparer la disponibilite dans trois sols de friche et de determiner les facteurs de controle de celle-ci. Le premier facteur est le diametre des particules de black carbon qui sont la matrice porteuse de HAP. Ensuite, l’intensite d’agregation par l’intermediaire de ciments carbonates est le deuxieme facteur de controle important de la disponibilite des HAP. Des experiences de laboratoire ont montre que la disponibilite des HAP peut etre influencee par des variables rhizospheriques. Ainsi, l’acidification d’un sol calcaire permet la dissolution des ciments carbonates et augmente la disponibilite des HAP du fait de la desagregation. L’alcalinisation quant a elle, augmente la disponibilite en diminuant les forces de sorption et parfois en decondensant la phase organique porteuse de HAP. En plus de son role acidifiant, l’acide citrique par ses proprietes complexantes permet d’augmenter la disponibilite des HAP de 40%. Les parametres modifies artificiellement au laboratoire ne sont pas toujours aussi facilement controlable in situ. Dans des experiences de terrain, nous avons vu qu’une alcalinisation artificielle du sol entrainait l’accroissement de la vitesse de dissipation des HAP. La culture de lupin blanc connu pour exsuder de l’acide citrique dans sa rhizosphere, a permis l’augmentation significative de la dissipation de l’anthracene, resultat tres encourageant compte-tenu de la courte duree de culture et la relative phytotoxicite des sols etudies
A Novel Boost Converter Topology with Non-Pulsating Input and Output Current

This paper proposes a new fourth-order dc-dc boost converter, developed as an improved version of the traditional Zeta converter, the main advantages of the proposed quasi-zeta converter are: (i) it can be constructed with a commercial half-bridge transistors package, in contrast with the traditional Zeta converter in which the diode and transistor are not connected to the same node, this characteristic makes easier constructing a high power converter with the proposed configuration, (iii) inductors drain a current smaller than the input current, which reduces the size of inductors, finally, (iii) both input and output current are non-pulsating, which reduces the possibility of having EMI problems. Converter design expressions are formulated with a time-domain analysis. The large signal non-linear model is provided along with a linear small-signal approximation. A comparative evaluation shows the proposed converter requires 55% to the energy stored in inductors to comply with a required input current ripple in comparison with the super-boost converter. Experimental results are provided to verify the principle of the proposed converter.
Printed Piezoresistive Strain sensors for Wearable Systems

Printed strain sensors are on high demand for flexible electronics and smart wearables. They are expected to exhibit high Figure of merits in terms of sensitivity, reliability, cost effectiveness, ease of fabrication etc. However, it is challenging to meet these attributes simultaneously. In this paper, we present a simple yet efficient method to fabricate the printed piezoresistive strain sensors with composite of carbon-based and silver-based pastes. The composite paste containing 80% and 20% by volume of carbon and silver paste was printed on poly vinyl chloride (PVC) substrate to realize the piezoresistive strain sensor over an area of 20 mm x 2 mm. The electromechanical characterization of the sensor demonstrated sensitivity of the order of 80% ($\Delta$R/R) with good repeatability and stability. The piezoresistive behaviour of presented printed composite material is owing to the modulation of electrical conductivity and conduction path by the minor inclusion of highly conductive silver fillers in a slightly less conductive carbon matrix. Finally, the strain sensor was integrated on the finger of a vinyl glove and response was monitored with finger movements. The obtained results point towards the potential use of the sensor for flexible electronics, robotics and smart wearable devices.
Low-Speed Operation of a Motor Drive System Using Dual Inverters to Reduce Input Current Harmonics

This paper proposes a switching pattern for a dual inverter system that can reduce the carrier component of input current harmonics. The proposed system consists of the main inverter (Inv.1), a floating inverter (Inv.2), and an open-end winding machine. The conventional method has a disadvantage as it requires a large-capacitance because the fluctuation of the DC link voltage of Inv.2 increases when the motor operates at a low speed. The proposed switching pattern consists of an Inv.1 does 18-step drive (switching at 18 times the fundamental frequency of the load) and Inv.2 does pulse width modulation. The voltage of the Inv.2 side capacitor can be controlled by using the phase shift for Inv.1. Moreover, any voltage can be output to the load by performing reactive power compensation with Inv.2. By adopting the proposed switching pattern, the voltage fluctuation of the capacitor is reduced without affecting the harmonics of the input current; therefore, the capacitance can be reduced. The validity of the proposed system is confirmed with a prototype. The proposed system can reduce the capacity of the Inv.2 side capacitor by about 14.5% to 31.6%. Moreover, the transition between modes has also been confirmed by experiments.
Fault-Tolerant Control Strategy for Reduced Torque Ripple of Independent Twelve-phase BLDC Motor Drive System under Open-Circuit Faults

Multi-phase BLDC (Brushless DC electric motor) are increasingly used in traction or propulsion applications due to their higher efficiency, power density and relatively easy control. The stable operation of these multi-phase BLDC motors in propulsion systems of large capacity during various fault scenario without generating large torque ripple and ohmic loss is an important engineering topic. In this paper, a novel fault-tolerant control method for multi-phase BLDC motor drive systems under an open-circuit failure of single-phase stator winding. The proposed method is to control the phase angles of the healthy phases in which the magnitude of the controlled phase current is increased to a minimum so that the torque ripple is minimized. The superior performance of the proposed concept as compared to the prior arts are demonstrated through the simulation model of independent 12-phase BLDC motor.
Photonic Generation of Triangular-Shaped Waveform With Tunable Symmetry Factor Based on Two Single-Drive Mach-Zehnder Modulator

An approach to generating triangular-shaped waveform with variable symmetry based on two single-drive Mach-Zehnder Modulator is proposed and analyzed. By setting the bias state of modulators, the rotation angle of polarization controller, phase shift of phase shifters and the modulation index of modulators properly, triangular-shaped waveforms with different symmetry can be synthesized in time-domain. The detailed theoretical analysis and simulation are given. Triangular-shaped waveforms with different symmetry factor (0%–100%) are obtained in simulation. Compared with previous scheme for generating triangular-shaped waveforms with different symmetry, the generated triangular-shaped waveform in this paper is more similar to the ideal waveform.