Miracle-dz/UniFAR-FTUs huggingface dataset:
Introducing Mechanical Engineers to Microprocessors with Arduino Tank Robots

Though microcontroller programming has traditionally been the dominion of electrical and computer engineers, other engineers must be familiar with the capability and integration of microcontrollers for interdisciplinary tasks. Ohio Northern University has started a two-week module on microcontroller programming in the Computer Applications course required for all mechanical engineers. The course begins with programming instruction in Matlab®, which is then applied in the microcontroller module. Each student had the in-class use of his or her own Arduino® Uno-based track-driven robot. A number of lessons were learned that would help others to successfully implement this type of module. For instance, hobby-grade robots did not prove sufficiently robust for classroom use, and recently-standard MATLAB/Simulink® native support for Arduino processors is not yet a smooth integration. Despite these and other difficulties, many students were engaged by the activity. Though less than 8% of the ME students had programmed Arduino or other microcontrollers before this class, 61% indicated that they “would like to play more with microcontrollers in the future. ” Other survey results support the success of the trial and guided its revision for the next course offering.
Nanoplasmonic Directional Coupler Using Asymmetric Parallel Coupled MIM Waveguides

This article presents the design and analysis of a nanoplasmonic directional coupler using an asymmetric parallel-coupled line metal insulator metal (MIM) waveguide. The proposed plasmonic directional coupler is designed by applying three wire transmission line (TL) model based on the basic TL characteristic parameters of the related asymmetric parallel coupled line structures. To this end, the effective refractive index, propagation length, and characteristic impedance of the related coupled line MIM waveguide structure are obtained by using fullwave simulation software CST microwave studio suite. Specifically, the dual-band nature can be obtained by exchanging the asymmetric coupled line MIM waveguide section with two asymmetric even mode step impedance resonators (SIRs) by adjusting the gap width (g1). Subsequently, a side-coupled resonator is designed and analyzed. Hence, the designed coupler is more useful to exchange several plasmonic devices such as power splitters and mixers in photonic integrated circuits (PICs) at a subwavelength scale.
Efficacy of Pharmaceutical Care in Patients with Type 2 Diabetes Mellitus and Hypertension: A Randomized Controlled Trial

Background The rates of treatment adherence and treat-to-target rates of blood pressure and blood glucose-related indexes in patients with hypertension and type 2 diabetes mellitus (T2DM) are associated with prognosis. This study aimed to investigate the efficacy of pharmaceutical care postdischarge for treatment adherence in hypertensive patients with type 2 diabetes mellitus (T2DM). Methods This was a randomized controlled trial of patients with combined T2DM and hypertension treated between January and May 2018. Pharmaceutical care included free access to a clinical pharmacist, education material, a WeChat account for live discussion, and a telephone follow-up. The primary endpoint was the 3-month medication adherence. The secondary endpoints included the achieving levels of target rates and values of fasting plasma glucose (FPG), 2 h postprandial glucose (2hPG), and hemoglobin A1c (HbA1c) and the rates of reaching the achieving target rate of blood pressure target <130/80. Results In 80 participants, the 3-month medication adherence was higher in the pharmaceutical care group than the routine group (90.0% vs. 52.5%, P < 0.001). In terms of FPG, 2hPG, and HbA1c, there were also significant differences between the pharmaceutical care and routine groups (FPG, 6.50 (6.00, 7.18) vs. 7.00 (6.83, 7.78) mmol/L, P=0.004; 2hPG, 8.45 (7.45, 9.28) vs. 9.35 (8.23, 10.15), P=0.007; HbA1c, 6.5% (6.3%, 7.0%) vs. 7.0% (6.5%, 7.4%), P=0.007). The achieving target rate of reaching the blood pressure target in the pharmaceutical care group (92.5%) was significantly higher than that in the routine group (62.5%; P < 0.05). Conclusion The postdischarge pharmaceutical care program in patients with T2DM and hypertension improves medication adherence.
Herd Behaviour, Fundamental, and Macroeconomic Variables – The Driving Forces of Stock Returns: A Panel-Based Pooled Mean Group Approach

The existing research aims to seek the herding effects on stock returns at the industry level in Pakistan Stock Exchange (PSX). Moreover, the relationship between stock returns and herding has been studied by taking some macroeconomic (exchange rate, interest rate, and inflation rate) and fundamental (return on equity and earnings per share) control variables. Herding is actually imitating other’s behaviour. This phenomenon indicates a situation where the investors follow the crowed and ignores their personal information, despite knowing the correctness of their information. Herd behaviour may drive from fundamental factors leading to efficient markets. However, it may not be associated with fundamental information causing unstable prices. The stock price data of PSX listed companies from 1999 to 2017 have been the point of focus. The underlying herding measure was the cross-sectional absolute deviation (CSAD), proposed by Chang et al. (2000). The significant analysis technique facilitating the current research is pooled mean group (PMG)/panel autoregressive distributed lag (ARDL) approach. Findings revealed that some sectors are evident for positive effect of herding on stock returns, whereas some others are witnessed for its negative effects on stock returns, in both long run and short run. As far as the control variables are concerned, they demonstrated both significant and insignificant effects on stock returns in different sectors of PSX. The study has important implications for policymakers.
Computer Analysis and Automatic Recognition Technology of Music Emotion

With the rapid development of the related computer industry, the use of computer-related technologies has become more and more frequent. The music industry is no exception. The research and analysis of music emotions has been a problem since ancient times. Due to the diversification of music emotions, people with different music in the same piece of music will have different feelings. The research topic of this article is to make a comprehensive analysis of the computer’s automatic identification technology, combined with the powerful subcapacity of the computer, so that the research on music emotion can be developed rapidly. The article analyzes the technical research of the automatic recognition and analysis of music emotion in the computer, and conducts a comprehensive analysis of the music emotion through the research of the computer-related automatic recognition technology. This paper focuses on the computer automatic recognition model of music emotion, and successfully realizes the design and simulation of the automatic recognition system based on the MATLAB platform. An automatic identification model using BP neural network algorithm is proposed. By comparing it with the statistical classification algorithm, the experimental results verify the effectiveness of the designed BP network in music emotion recognition.
Arithmetic Optimization with RetinaNet Model for Motor Imagery Classification on Brain Computer Interface

Brain Computer Interface (BCI) technology commonly used to enable communication for the person with movement disability. It allows the person to communicate and control assistive robots by the use of electroencephalogram (EEG) or other brain signals. Though several approaches have been available in the literature for learning EEG signal feature, the deep learning (DL) models need to further explore for generating novel representation of EEG features and accomplish enhanced outcomes for MI classification. With this motivation, this study designs an arithmetic optimization with RetinaNet based deep learning model for MI classification (AORNDL-MIC) technique on BCIs. The proposed AORNDL-MIC technique initially exploits Multiscale Principal Component Analysis (MSPCA) approach for the EEG signal denoising and Continuous Wavelet Transform (CWT) is exploited for the transformation of 1D-EEG signal into 2D time-frequency amplitude representation, which enables to utilize the DL model via transfer learning approach. In addition, the DL based RetinaNet is applied for extracting of feature vectors from the EEG signal which are then classified with the help of ID3 classifier. In order to optimize the classification efficiency of the AORNDL-MIC technique, arithmetical optimization algorithm (AOA) is employed for hyperparameter tuning of the RetinaNet. The experimental analysis of the AORNDL-MIC algorithm on the benchmark data sets reported its promising performance over the recent state of art methodologies.
The Role of Generic Price Look-Up Code in WIC Benefit Redemptions

One of the most significant recent changes in the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) is that the Healthy, Hunger-Free Kids Act of 2010 mandated the conversion of the program to an electronic benefit transfer (EBT) system by October 1, 2020. This mandate has led to some technical challenges and policy issues. Focusing on the adoption of a generic price look-up (PLU) code, an important EBT mechanism intended to facilitate the redemption of fresh produce, this research examines how different mapping approaches in using the generic PLU code are associated with WIC participants’ cash value benefit redemption. Using the redemption data of 121,021 Virginia WIC participants in 2015, the first year after the full implementation of the EBT system in Virginia, the authors identified three groups of WIC participants based on their exposure to the generic PLU code. Results show that WIC participants who had ever been exposed to the generic code tended to have a significantly higher fruit and vegetable redemption rate than those who had never experienced the generic code. The authors also conducted a qualitative study to provide insights regarding the potential mechanism underlying the hypothesized relationships. Relevant policy implications and future research directions are discussed.
Student computer attitudes, experience and perceptions about the use of two software applications in Building Engineering

ABSTRACT The purpose of this study was to examine students’ computer attitudes and experience, as well as students’ perceptions about the use of two specific software applications (Google Drive Spreadsheets and Arquimedes) in the Building Engineering context. The relationships among these variables were also examined. Ninety-two students took part in this study. Results suggest that students hold favourable computer attitudes. Moreover, it was found a significant positive relationship among students’ attitudes and their computer experience. Findings also show that students find Arquimedes software more useful and with higher output quality than Google Drive Spreadsheets, while the latter is perceived to be easier to use. Regarding the relationship among students’ attitudes towards the use of computers and their perceptions about the use of both software applications, only a significant positive relationship in the case of Arquimedes was found. Findings are discussed in terms of its implications for practice and further research.
Study on Dynamic Characteristics of Mars Entry Module in Transonic and Supersonic Speeds

The aerodynamic configuration of the Tianwen-1 Mars entry module that adopts a blunt-nosed and short body shape has obvious dynamic instability from transonic to supersonic speeds, which may bring risk to parachute deployment. The unsteady detached eddy of the entry module cannot be accurately simulated by the Reynolds-Averaged Navier-Stokes (RANS) model, while the computational cost for direct numerical simulation (DNS) and large eddy simulation (LES) is huge. It is difficult to implement these methods in the coupled engineering calculation of unsteady flow and motion. This paper proposes the integrated numerical simulation method of computational fluid dynamics and rigid body dynamics (CFD/RBD) based on detached eddy simulation (DES) and calculates and studies the dynamic characteristics of attitude oscillation of the Mars entry module in free flight from transonic to supersonic speeds with one degree of freedom (1-DOF) at small releasing angle of attack. In addition, the unstable range of Mach number and angle of attack are determined, and the effect of different afterbody shapes on dynamic stability is analyzed.
Frequency adjustment in ultrasonic tomography system with a metal pipe conveyor

The application of ultrasonic tomography systems for producing cross-sectional images of objects by a noninvasive method plays a dominant role in industry, especially in the oil industry. Since finding the appropriate ultrasonic sensor is the main step in designing an ultrasonic tomography system, determination of the properties of the ultrasonic sensor is very important. In this paper, the manner of ultrasonic wave propagation in various regions and its dependence on frequency are investigated. A finite element software (COMSOL Multiphysics 3.5) is used for visualizing the practical module in a virtual environment to describe the physical interaction inside a metal pipe. Since the transmission mode of an ultrasonic wave is significant in accordance with the data being carried, a frequency should be chosen in which the straight path wave is improved and other propagation modes such as a surface wave on the wall of a metal pipe are attenuated. A frequency of 40 kHz is extracted as the resonance frequency of a desired ultrasonic sensor owing to the simulation results. This claim is proved by the practical testing that is presented in this paper.
Analysis and implementation of high-gain non-isolated DC–DC boost converter

High step-up DC-DC converters are increasingly required in many industrial applications. Conventional topologies operate at extreme duty cycle, high-semiconductor voltage stress, switching loss, and diode reverse recovery problems. This study presents a new non-isolated high gain, boost converter operating with a modest duty cycle by integrating a coupled inductor and switched capacitor technique. Importantly, the structure of the high-voltage side, together with the switched capacitor, reduces the voltage stress of the power switch to less than one third of the output voltage, which in turn helps to reduce the conduction loss by using a low on-resistance (R ds-on ) switch. The diode voltage stress is less than the output voltage which facilitates faster recovery. Furthermore, the converter employs a passive clamp circuit to recycle the leakage energy. The main switch achieves zero current switching (ZCS) turn-on performance and all diodes achieve (ZCS) turn off reducing reverse recovery related losses. As a result, the circuit exhibits high efficiency performance; which is essential for most modern power electronic applications. In this study, the operational principle and performance characteristics of the proposed converter is presented and validated experimentally with a 250 W, 20V input voltage/190V output voltage prototype circuit.
The yield of gasoline range hydrocarbons from plastic waste pyrolysis

ABSTRACT Plastic waste has become a serious issue that causes environmental contamination because of not degrading naturally and neglecting in the landfills over the years. Therefore, this paper deals with the experimental investigation of thermal and catalytic cracking using various types of plastics including high-density polyethylene (HDPE), low-density polyethylene (LDPE), polypropylene (PP), polystyrene (PS), and polyethylene terephthalate (PET) in a stainless-steel semi-batch reactor under nitrogen atmosphere at the temperatures ranging from 350 to 500°C and by varying the residence times (60, 90, and 120 min). In the catalytic cracking, the experiments were run by varying the catalyst to polymer ratios (5, 10, and 15 wt%), as well as a catalyst bed has been designed for catalytic cracking experiments. The produced liquid was analyzed using Gas Chromatography-Mass Spectroscopy (GC-MS) which revealed that the liquid produced contained mainly aromatic and paraffinic hydrocarbons that can be used as fuel. According to the experimental results, the highest liquid yield obtained from thermal cracking was 92.4 wt% using PS as feedstock at 500°C and 120 min, while the highest liquid yield obtained from catalytic cracking was 90.45 wt% using LDPE as feedstock and 5 wt% of the Ketjenfine PR.9 catalyst at 500°C and 90 min. Therefore, Ketjenfine PR.9 was found to be appropriate as a catalyst for the degradation of plastics.
The joint role of HRM and leadership for teleworker well-being: An analysis during the COVID-19 pandemic

The sudden and extensive implementation of teleworking in the beginning of the COVID-19 pandemic has threatened employees’ well-being. Based on the challenges that particularly threatened such well-being in the beginning of the pandemic, we identify sets of telework-specific HRM practices and leadership behaviors, and examine their joint relationships with teleworkers’ happiness well-being in terms of work engagement and job satisfaction. Thus, we also consider the mediating roles of social isolation (as an indicator of social well-being) and psychological strain (as an indicator of health well-being). We also expect that HRM and leadership should interact and reinforce each other. Our analyses are based on data from German teleworkers at two consecutive points in time. Our findings reveal differentiated and complementary effects of telework-oriented HRM and leadership. In particular, we identified the provision of health care to contribute most to telework-oriented HRM’s relationship with social isolation and happiness well-being. Telework-oriented leadership mainly affected teleworkers’ happiness well-being via strain by ensuring communication and information exchanges between teleworkers.
Struktur dan Kaidah Kebahasaan Cerita Rakyat dalam BSE Bahasa Indonesia Kelas X SMA Tahun Pelajaran 2020/2021

Artikel ini bertujuan untuk mendeskripsikan struktur dan kaidah kebahasaan teks cerita rakyat yang terdapat dalam buku sekolah elektronik (BSE) Bahasa Indonesia. Penelitian ini berpendekatan kualitatif dengan menerapkan metode analisis isi. Suber data dalam penelitian ini adalah cerita rakyat yang terdapat dalam BSE Bahasa Indonesia yang diterbitkan oleh Kementerian Pendidikan dan Kebudayaan diperuntukkan bagi siswa SMA kelas X tahun pelajaran 2020/2021. Berdasarkan penelitian yang telah dilakukan dapat diperoleh data bahwa secara keseluruhan teks cerita rakyat yang terdapat dalam BSE Bahasa Indonesia mengandung struktur yang lengkap yang terdiri atas orientasi, komplikasi, resolusi, dan koda. Dari segi ciri kebahasaan kebahasaan, teks cerita rakyat yang terdapat dalam BSE bahasa Indonesia sangat bervariasi, yaitu terdiri atas kata kerja waktu, kata kerja tindakan, kata sifat, dan kata sandang. Hasil penelitian menunjukkan kualitas pilihan teks cerita rakyat yang terdapat dalam BSE bahasa Indonesia tergolong baik. Kata kunci: Cerita Rakyat; Struktur; dan Kaidah Kebahasaan
CodeNet: Code-Targeted Convolutional Neural Network Architecture for Smart Contract Vulnerability Detection

A smart contract is a computer program which is automatically executed with some conditional statements such as “if/then”. Since smart contracts can include some vulnerable program codes, smart contract exploit was recently highlighted as one of the severe threats to Ethereum blockchain. As one of the efficient and effective smart contract vulnerability detection methods, deep learning methods have been studied due to the fast detection speed and the high detection accuracy. Recently, the deep learning methods using convolutional neural network(CNN) have actively studied to classify images transformed from smart contracts into vulnerable or invulnerable. However, while simply transforming a smart contract into an image and analyzing, semantics and context of the smart contract are ignored to cause false detection alarms. To detect vulnerable smart contracts while maintaining their semantics and context, we propose a new code-targeted CNN architecture, called CodeNet. To improve the performance of CodeNet, we also design a data pre-processing procedure, where a smart contract is transformed into an image while maintaining locality. From the experimental results under various types of vulnerabilities, the proposed CodeNet-based vulnerability detection method shows the good-enough detection performance and detection time compared to well-known state-of-the-art vulnerability detection tools.
Cloud removal from satellite imagery using multispectral edge-filtered conditional generative adversarial networks

ABSTRACT We propose a Generative Adversarial Network (GAN) based architecture for removing clouds from satellite imagery. Data used for training comprises of visible light RGB and near-infrared (NIR) band images. The novelty lies in the structure of the discriminator in the GAN architecture, which compares generated and target cloud-free RGB images concatenated with their edge-filtered versions. Experimental results show that our approach to removing clouds outperforms both visually and according to metrics, a benchmark solution that does not take edge filtering into account, and that improvements are robust when varying both training dataset size and NIR cloud penetrability.
Quality Study and Numerical Simulation Analysis of Solid–Liquid Two-Phase Magnetic Fluid Polishing Seven-Order Variable-Diameter Pipe

Variable-diameter pipe parts have been widely used in the automobile industry, aerospace industry, and other fields. To enhance the surface quality of variable-diameter pipe and explore the effect of solid–liquid two-phase magnetic fluid (SLTPMF) on polishing, in this paper, the seven-order variable-diameter pipe with symmetrical structure is taken as the research object to carry out experimental research and numerical simulation. The experimental research shows that the best surface roughness is reduced by an order of magnitude to Ra 0.054 μm. The solid–liquid two-phase magnetic fluid polishing (SLTPMFP) technology has reliability and superiority in improving the roughness of variable-diameter pipe parts. The simulation results show that the wall shear stress of solid–liquid two-phase magnetic fluid on the wall surface of the workpiece affects the improvement of roughness. The greater the wall shear force, the better the surface roughness can be obtained. The velocity and dynamic pressure cloud diagram show that the velocity and dynamic pressure on the center axis of the workpiece first increase and then decrease with the flow of the magnetic fluid. The velocity and dynamic pressure on the near wall surface are reduced due to the shear collision with the workpiece. This work can provide technical and theoretical support for the actual production of SLTPMF precision polishing.