Miracle-dz/UniFAR-FTUs huggingface dataset:
Time-frequency and time-scale domain analysis of voltage disturbances

This paper discusses the analysis of voltage disturbance recordings in the time-frequency domain and in the time-scale domain. The discrete short-time Fourier transform (STFT) is used for the time-frequency domain; dyadic and binary-tree wavelet filters for the time-scale domain. The theory is explained with special emphases on the analysis of voltage disturbance data. Dyadic wavelet filters are not suitable for the harmonic analysis of disturbance data. Filter center frequencies and bandwidths are inflexible, and the results do not give easy insight in the time behavior of the harmonics. On the other hand, band-pass filter outputs from discrete STFT are well associated with harmonics and are thus more useful for power system analysis. With a properly chosen window size, the discrete STFT is also able to detect and analyze transients in a voltage disturbance. Overall, the STFT is more suitable than wavelet filters for the analysis of power system voltage disturbance data.
Family Characteristics as Determinants of Mental Health in Adolescents

The family environment is considered to be a micro-ecological system with numerous risk and protective factors for mental health. The goal of this research was to determine how different functional and/or structural family characteristics affect some indicators of mental health in adolescents. A number of 1,239 adolescents (ages 15–19) participated in the research. General Data Questionnaire, Family Life Satisfaction Scale, Family Communication Scale, Positive Mental Health Scale, Anxiety, Depression and Stress Scale, and Stressful Events in the Family Checklist, were applied. The results indicated no connection between sociodemographic characteristics and self-assessed satisfaction. Adolescents with older parents were less satisfied with their family and familial communication. Gender differences in mental health were confirmed, mostly to the detriment of girls. The mother’s age and the father’s level of education significantly correlate with individual mental health. Adolescents with older mothers reported lower mental health. Adolescents with fathers of lower educational status reported higher stress and depression level. Stress within the family proved to be significant in explaining adolescents’ mental health, especially due to financial issues, and conflicts among family members. Finally, the results indicated that family communication and satisfaction, with the control of sociodemographic characteristics and stress in a family, additionally explain the significant part of the variance in adolescents’ mental health.
ABSOLUTE CAPACITY DETERMINATION AND TIMETABLING IN RAILWAYS

To determine with certainty the capacity of a railway line or network a train timetabling problem should be solved. However due to the size and complexity of this timetabling problem, simpler approximations and simulations are more often used in practice. Absolute capacity on the other hand may be more simply obtained by ignoring the possibility of collision conflicts, which are manifested as interference delays and occur as a result of insufficient passing facilities. This is achieved by allowing trains to pass through one another on non-critical sections in the timetable. Under this assumption, the full timetabling problem may be considerably reduced. In this paper details of a timetabling approach are presented and the calculation of important parameters required in the approach. Mathematical models for solving both the full and reduced timetabling problem are then developed. Alternative heuristics however are also proposed and extended because the reduced problem is still of considerable size and complexity.
Analysis and Design of Doweled Slab‐on‐Grade Pavement Systems

This paper provides an in‐depth synthesis of knowledge acquired over the last several decades pertaining to the analysis and design of doweled slab‐on‐grade pavement systems. This task is accomplished on the basis of rigorous, theoretically sound engineering principles, and relies extensively on the application of dimensional analysis for the interpretation of finite element data pertaining to the behavior of doweled joints. A design procedure is derived that allows, for the first time, the determination of the dowel diameter and spacing required to achieve a desired level of load transfer, or a threshold value of dowel‐concrete bearing stress. The proposed approach eliminates the need for any a priori assumptions with respect to the distribution of dowel shear forces. An efficient and general method for the backcalculation of the modulus of dowel reaction, K, from deflection data is also suggested. These research findings constitute a mechanistic structural model for JPCP and contribute significantly tow.
Deep multimodal autoencoder for crack criticality assessment

In continuum mechanics, the prediction of defect harmfulness requires to solve approximately partial differential equations with given boundary conditions. In this contribution boundary conditions are learnt for tight local volumes (TLV) surrounding cracks in three‐dimensional volumes. A nonparametric data‐driven approach is used to define the space of defects, by considering defects observed via X‐Ray computed tomography. The dimension of the ambient space for the observed images of defects is huge. A nonlinear dimensionality reduction scheme is proposed in order to train a reduced latent space for both the morphology of defects and their local mechanical effects in the TLV. A multimodal autoencoder enables to mix morphological and mechanical data. It contains a single latent space, termed mechanical latent space. But this latent space is fed by two encoders. One is related to the images of defects and the other to mechanical fields in the TLV. The latent variables are input variables for a geometrical decoder and for a mechanical decoder. In this work, mechanical variables are displacement fields. The autoencoder on mechanical variables enables projection‐based model order reduction as proposed in the study of Lee and Carlberg. The main novelty of this paper is a submodeling approach assisted by artificial intelligence. Here, for defect images in the test set, Dirichlet boundary conditions are applied to TLV. These boundary conditions are forecasted by the mechanical decoder with a latent vector predicted by the morphological encoder. For that purpose, a mapping is trained to convert morphological latent variables into mechanical latent variables, denoted “direct mapping. ” An “inverse mapping” is also trained for error estimation with respect to morphological predictions. Errors on mechanical predictions are close to 5% with simulation speed‐up ranging for 3 to 120. We show that latent variables forecasted by the images of defects are prone to a better understanding of the predictions.
Two antipodal vivaldi antennas and an antenna array for microwave early breast cancer detection

Two small antipodal Vivaldi antennas for ultrawide band early breast cancer detection are proposed. The antennas are designed to operate in the spectrum from 1 to 10 GHz, according to the requirements of wave penetration in the breast and imaging resolution. Simulated and measured reflection parameters of the proposed antennas are evaluated. Numerical results also show the proposed antennas have good near‐field radiation performance. Finally, an antenna array consisting of eight antipodal Vivaldi antennas, appropriate to collect the tumor scattering signal in the breast is presented. © 2012 Wiley Periodicals, Inc. Microwave Opt Technol Lett 55:670–674, 2013; View this article online at wileyonlinelibrary.com. DOI 10.1002/mop.27384
Evaluation of Antioxidant and Antibacterial Activities of White Mulberry (Morus alba L.) Fruit Extracts

The fruit of mulberry trees (Morus sp.), mulberries, are traditionally utilised as a nutritional food and provide health benefits as well as skin nourishment in Thailand. White mulberries (Morus alba L.) from Chiang Mai and Mae Hong Son provinces were evaluated for their antioxidant and antibacterial activities. The antioxidant activities as well as the total phenolic, flavonoid and anthocyanin content of the aqueous and ethanolic extracts were determined using 2,2-diphenyl-1-picrylhydrazyl (DPPH), 2,2′-azinobis-(3-ethylbenzothiazolin-6-sulfonic acid) (ABTS) and ferric reducing antioxidant power (FRAP) assays. The aqueous extracts of mulberries exhibited the highest antioxidant activity, which was associated with a higher phenolic and anthocyanin content. In testing the potent antibacterial activity against Escherichia coli, Salmonella Typhi, Shigella dysenteriae, Staphylococcus aureus and Vibrio cholerae, the mulberry extracts proved to be quite efficient, especially following water extraction. Time-kill and antibacterial adhesion assays further indicated that aqueous mulberry extracts could inhibit bacterial growth and prevent adhesions of pathogenic enteric bacteria on intestinal epithelial cells. It thus appears that mulberries can potentially be consumed as a good source of antioxidants, containing antimicrobial properties against some pathogenic bacteria which cause gastrointestinal tract infections.
A Comparative Study of Islam and Buddhism: A Multicultural Society Perspective

In this article, two great world religions, Islam and Buddhism, are compared. The purpose is to highlight similarities and differences between the two religions. Additionally, this article aims to project elements and teachings that are deemed important by their followers. A neutral stance on their beliefs is especially important in a multicultural society. The study was conducted to promote the harmony and betterment of Malaysian society, and the nation at large; a value process of understanding of each religion is recommended, which can then lead to acceptance, respect and tolerance among the population, and form the basis for developing a paradigmatic Malaysian society that has unity in diversity. This study adopted document analysis as the research method for data collection and data analysis. The conclusions drawn are that, although the two religions appear rather different in terms of principles and practices, the core values of avoiding evil and doing good are similar. In addition, the study proposes that without prejudice and pride, the basics of all commonly practiced religions in Malaysia should be introduced to all Malaysians, with the objective of all understanding, but not necessarily embracing, each other’s religion.
Fiscal Policy Behaviour and Domestic Financial Market Stability: Agenda for Stabilization in Nigeria

This paper set out to investigate the impact of adjustments in fiscal policy tools on the stability of domestic financial market activities. The paper sampled four fiscal policy measures (Government Capital Expenditure, Government Recurrent Expenditure, Tax revenue and Total Debt) for the period 1981 to 2014 and regressed them on the interest rate in the domestic financial market. Descriptive statistic and Augmented Dicky Fuller unit root test where used to evaluate the behaviour of the rate of change time series Nigerian data, while co-integration mechanism, Granger causality test and GARCH technique was employed for analyses. The findings revealed the following: (1) Government Capital and Recurrent Expenditure as well as Tax revenue occupy critical place in causing financial stability in the domestic financial market in Nigeria. (2) increase in Government Capital Expenditure and Government Re-current Expenditure stabilizes the activities in the domestic financial market through reduction in Interest rate, whereas increase in Tax Revenue and Total Debt causes swings in the activities in the domestic financial market by increasing Interest rate. (3) In the long run, Government Capital Expenditure, Government Re-current Expenditure, Tax revenue and Total Debt show evidence of capacity to stabilize the activities in the domestic financial market. The study posit that adjustments in fiscal policy behaviour impacts significantly on the stability of the domestic financial market in Nigeria both in the short and the long-run. Based on the findings, it is recommended that fiscal policies should be appropriately articulated and efficiently manipulated in order to significantly improve stability in domestic financial markets.
Built Environment, Individual Attributes, and Variability of Body Mass Index of Drivers in the Chicago, Illinois, Metropolitan Area

The body mass index (BMI) and the propensity of being overweight or obese among drivers in the Chicago, Illinois, metropolitan area are affected by factors related to the built environment. A multilevel analysis distinguished the contributions of individual attributes and areal environmental factors. The empirical analysis provided evidence that BMI variability and the propensity of being overweight or obese could mostly be attributed to the educational and ethnicity profiles of residential areas. Drivers living closer to the city were also likely to have slightly lower BMI values than their counterparts who lived in areas far from the city. Finally, the effects of drivers' gender and age are significant and provide additional insights.
Iterative Feedforward Control for Bearing-Free Multibody Systems

Corresponding Author: Nicola Yvonne Bailey Department of Mechanical Engineering, University of Bath, United Kingdom E-mail: n.y. bailey@bath.ac. uk Abstract: Automated machinery and robotics are commonly conventional multibody systems containing bearing components, which exhibit uncertain, discontinuous and complex tribological characteristics. These generate wear and fundamentally limit the precision of small scale motion due to the tribological effects being difficult to compensate for using model-based active control. However, they can be eliminated through the replacement of traditional bearing joints with flexure couplings, which offers a potential increase in the performance envelope. Initially a plain flexure coupling capable of large deformation is investigated, with a representative mathematical model derived based on large deformation Euler-Bernoulli theory which is validated using a bespoke experimental facility; proof of concept for the design of empirical controllers utilising experimental data is presented. Various designs of novel compound flexure couplings are conceived, comprising of multiple sections of spring steel. The presented compound flexure couplings are then characterised experimentally. A focused study of a two-compound flexure coupling-rigid body system is presented and the feasibility of generating open-loop feedfoward controllers from identified models is demonstrated in terms of accurate large displacement control. Including path correction in the presented control methodology reduces tracking errors by at least 62% and 71% in (x, y) directions, respectively, for the cases considered.
Digital control of induction motor current with deadbeat response using predictive state observer

For a high-power induction motor drive, the switching frequency of the inverter cannot become higher than one kilohertz, and such a switching frequency produces a large current ripple, which then produces torque ripple. To minimize the current ripple, a method based on deadbeat control theory for current regulation is proposed. The pulsewidth modulation (PWM) pattern is determined at every sampling instant based on stator current measurements, motor speed, current references, and rotor flux vector, which is predicted by a state observer with variable poles selection, so that the stator currents are controlled to be exactly equal to the reference currents at every sampling instant. The proposed method consists of two parts: (1) derivation of a deadbeat control and (2) construction of a state observer that predicts the rotor flux and the stator currents in the next sampling instant. This paper describes a theoretical analysis, computer simulations and experimental results. >
Face Recognition Model based on the Laplacian Pyramid Fusion Technique

In this paper, a Fusion Feature-Level Face Recognition Model (FFLFRM) based on the Laplacian Pyramid (LP) fusion technique is proposed. The proposed FFLFRM model consists of four main processes: face detection, feature extraction, feature fusion, and face classification. In the FFLFRM model, the important characteristics of the face (i.e., the mouth, nose, and eyes) are detected, as well as, both global and local features are extracted using Principal Component Analysis (PCA) and the Local Binary Pattern (LBP) extraction methods. The extracted features are then fused using the LP fusion technique and classified using the Artificial Neural Network (ANN) classifier. The FFLFRM model was tested on 10,000 face images generated from the Olivetti Research Laboratory (ORL) database. The performance of the FFLFRM was compared with three state-of-the-art face recognition models based on local, global, and Frequency Partition (FP) fusion techniques, in terms of illumination, pose, expression, occlusion, and low image resolution challenges. The recognition results of the proposed FFLFRM were promising. Hence, it achieved up to 98.2 recognition accuracy. Thus, shows the effectiveness of the proposed model in manipulating with variant face challenges.
Design and Implementation of Situation Plotting System Based on Hand-drawn Sketch Recognition

Military symbology sketch is the most natu-ral human-machine interaction way to express human thinking and also an important means to express bat-tleﬁeld situation. Aiming at the problems of sparse data set, low recognition accuracy and difﬁcult model application of military symbology sketch, this paper proposes a situation plotting system based on hand-drawn sketch recognition.Firstly, through the self-developed military symbology sketch acquisition application, the data set is collected. Then the military symbology s-ketch is trained based on Resnet34 and the trained model is applied to the Web situation plotting system to realize online military symbology sketch recognition. Finally, the feedback mechanism is introduced to promote the correction of the Resnet34 model, so as to further improve the accuracy of sketch recognition and the human-machine interaction efﬁciency of the situation plotting system.
A Preliminary Study on the Relationship between Financial Literacy and Business Performance among Entrepreneurs in Bauchi Metropolis, Nigeria

Entrepreneurs are the backbone of all prosperous economies worldwide, since they are regarded as a key driver of economic growth in creating job opportunities, eradicating poverty and leading to the production of both developed and emerging countries' gross domestic product (GDP). This paper presents the findings of a pilot survey aimed at validating a questionnaire explicitly designed to gather data on the relationship between financial literacy and business performance among entrepreneurs. A total of 37 sampled respondents were used in the analysis using a stratified and clear random sampling technique. The data were analyzed with the assistance of the Statistical Kit for Social Sciences (SPSS) version 23, of which the study of the variables and assessment of the reliability were carried out. As a result, only 44 of the 49 elements that initially formed the survey were retained. A total of 9 components emerged from the data that were named in accordance with their underlying constructs. The factor loadings reported met the appropriate threshold of . 50. The reliability of the items and the respective scales was also within the acceptable range of . 70. It was thus concluded that the questionnaire was reliable and could be used for the reason for which it was built.
INTERACTIONS BETWEEN PRODUCT AND LABOUR MARKET REGULATIONS: DO THEY AFFECT EMPLOYMENT? EVIDENCE FROM OECD COUNTRIES

1. How do labour market institutions and regulations interact with the product market environment in determining labour market outcomes? Is increased product market competition likely to have sizeable effects on employment performance? In this paper, we address these issues by providing some empirical evidence from OECD countries over the past two decades. Our working hypothesis is that competition, or the lack of it, interacts with labour market regulations and institutions to affect the functioning of the labour market in important ways. Recent research has set out a variety of channels through which this may happen (Krueger and Pischke, 1998; Nickell, 2000; Nicoletti et al., 2001; Blanchard and Giavazzi, 2001; Amable and Gatti, 2001). However, there is no agreement on the direction and empirical relevance of the effect of competition on employment at the aggregate level. For instance, some have pointed out that the primary (short and long-run) effects of product market competition are to be expected on output and productivity (Blanchard, 2001), while their effects on employment are likely to be transient and of uncertain sign. Long-run employment effects are possible, but their direction and relevance may depend on both the particular policies that brought about an increase in product market competition (Blanchard and Giavazzi, 2001) and the institutional features of the labour market (Amable and Gatti, 2001).
Evaluation of overall equipment effectiveness based on market

Purpose – Continuous manufacturing systems used within the steel industry involve different machines and processes that are arranged in a sequence of operations in order to manufacture the products. The steel industry is generally a capital‐intensive industry and, because of high capital investment, the utilisation of equipment as effectively as possible is of high priority. This paper seeks to illustrate a new method, overall equipment effectiveness market‐based (OEE‐MB) for the precise calculation of equipment effectiveness for full process cycle in order to respond to the steel market.Design/methodology/approach – A refinement of the existing concept of OEE is developed based on a new scheme for loss analysis within market time. The paper illustrates the concept with a case study based on compact strip manufacturing processes within the steel industry.Findings – While the results for OEE by ignoring a considerable amount of possible hidden losses might be satisfying, the OEE‐MB report shows potential r.