Miracle-dz/UniFAR-FTUs huggingface dataset:
Collective moral disengagement and its associations with bullying perpetration and victimization in students

Abstract The aim of the current study was to examine whether collective moral disengagement in the classroom was associated with bullying perpetration and victimisation. One-thousand-and-fifty-four students from 70 classrooms in 29 schools in the middle and southern parts of Sweden completed a questionnaire in their classroom. In line with the hypotheses, the bivariate correlation analyses at the classroom level showed that students who belonged to classrooms with lower collective moral disengagement were less likely to be victimised by bullying or engaged in bullying perpetration. Moreover, when controlling for gender and age at the individual level and including collective moral disengagement in the same model at the classroom level, multilevel analyses revealed that students who belonged to classrooms with a higher level of collective moral disengagement were more likely to be engaged in bullying perpetration or to be targets of bullying victimisation.
Does Country Attractiveness Matter in International Competition? The Case of Countries’ Bidding to Host Major Sports Events

ABSTRACT A country’s attractiveness is a factor in its success in many areas of international competition, such as encouraging international investment, but its impact on international sporting events remains unexplored. Using various measurements of country attractiveness, statistical tests of the proposition that a country’s economic, social, and environmental attractiveness are correlated with its success in bidding to host international sporting events were conducted using data on the results of competitions to host 54 world championships in Olympic sports/disciplines from 1990 to 2012. The results presented here affirm the impact of country attractiveness on the success of bids to host such events.
Fourier series estimator for predicting international market price of white sugar

Global sugar industry and trade is expected to undergo a fundamental change with long-term impacts, marked by the elimination of agricultural subsidies agreed in 2013. Because of that, price of sugar in International market will rise and can affect Country's economy. The government must make regulation to maintain price of sugar for their country. Therefore, government need to predict price of white sugar in international market for make regulation The price of white sugar on international market can be estimated and predicted using the Fourier series estimator that can analyze periodic data. The response variable is the price of white sugar on international and the predictor variable is the month order. Predicting international market price of white sugar by using Fourier series estimator gives mean absolute percentage error (MAPE) value of 5.43% that is less than 10%. It means that Fourier series estimator has high accuracy for predicting international market price of white sugar.
An exploration of the landscape of fundamental movement skills and strength development in UK professional football academies

The purpose of this study was to investigate the landscape of Fundamental Movement Skills (FMS) and strength development in professional football (soccer) academies in the UK. To achieve this, we interviewed 16 participants, whose primary responsibility was the physical development of youth players from a variety of Elite Player Performance Plan (EPPP) categorised academies. Following abductive analysis, we identified that whilst all participants acknowledged the importance of FMS and strength development for young football players, there was variance across EPPP categories relating to: (a) the time dedicated to developing FMS and strength; (b) the number, level of qualification, and utilisation of staff; and (c) the integration of the evidence informed practice into programme design and delivery. Although the key foci of academy strength and conditioning programmes generally prioritised injury reduction, performance improvement, and building a physical base for future development, the methods used to achieve these outcomes were varied. Finally, participants reported how relationships between support staff and technical coaching staff had a direct impact on the implementation of FMS and strength programmes. We have provided rich insights into a range of factors that may facilitate or hinder FMS and strength development within youth football players and thus helped to advance understanding of the practical implications of focusing on these key skills within athlete development programmes.
Board Components and Quality of Financial Reporting: Mediating Effect of Audit Quality

The main purpose of this study is to investigate the mediating effect of audit fees as an indicator of audit quality on the board components, the directors' remunerations, and the financial reporting quality in the Jordanian context. This study used Panel Data of 180 listed firms in Amman Stock Exchange from 2009 to 2017. The collected data were analyzed using the multiple regression analysis and Causal Steps Method. The results showed that the larger size of the board and independent directors on the board have a negative and significant influence on FRQ, whereas the board expertise and directors’ remuneration have a significantly positive impact on FRQ, as supported by the Agency Theory. Regarding the audit quality, the results revealed that the board size, the board independence and the directors’ remunerations have a positive and significant effect on the audit fees as an indicator of the audit quality. In contrast, the board expertise has significantly negative impact on the audit fees, and the audit quality has a partial mediating effect on the relationship of board components with FRQ. The findings are particularly important for the shareholders and regulators in introducing new legislations regarding the board composition and audit profession, increasing the monitoring role of the independent directors and large boards on the managerial performance when preparing the financial reports and highlighting the interaction between the board effectiveness and audit quality in restricting the EM practices and ensuring FRQ in one of the developing countries (Jordan). It is shown that the factors affecting FRQ can definitely enhance their ability through the interaction with the external factors to achieve the role of board of directors in in reducing the financial fraudulent. Originality/value – To the best knowledge of the authors, the current study is one of the first studies that addresses the directors’ remuneration and the mediating effect of the audit fees in the relationship between the board components and FRQ in Jordan and the Middle East.
Automated radiographic bone suppression with deep convolutional neural networks

Dual-energy subtraction (DES) is a technique that separates soft tissue from bones in a chest radiograph (CR). As DES requires specialized equipment, we propose an automatic method based on convolutional neural networks (CNNs) to generate virtual soft tissue images. A dataset comprising 35 pairs of CR and its soft-tissue version split in training (28 image pairs) and testing (7 image pairs) sets were used with data augmentation. We tested two types of images: the lung region’s cropped image and the segmented lung image. The ribs suppression was treated as a local problem, so each image was divided into 784 patches. The U-Net architecture was used to perform bone suppression. We tested two types of loss functions: mean squared error (Lmse) and Lsm, which combines Lmse with the structural similarity index measure (SSIM). Due to the patches overlapping, it was necessary to interpolate the gray levels on the reconstructed image from the predicted patches. Evaluations were based on SSIM and root mean square error (RMSE) over the reconstructed lung area. The combination that presented the best results used the loss Lsm and the segmented lung image as input to the U-Net (SSIM of 0.858 and RMSE of 0.033). We observed that the U-Net has poor performance when trained with cropped images containing all information from the chest cavity and how the loss using local information can improve CR rib bone suppression. Our results suggest that it is possible removing the rib bones accurately in CR using CNN and a patch-based approach.
Traditional versus Modern? Perceptions and Preferences of Urban Park Users in Iran

This study involved four parks in Iran—two modern ones located in Tehran and two historical, traditional examples, one in Kashan and one in Esfahan—in order to ask what are the key factors contributing to the satisfaction of visitors to the two types of park and also to compare user’s perceptions and values of the different types. An extensive questionnaire survey was conducted in each park, with a target of 300 responses, using a random sampling technique. Respondents were asked to rate the importance of a number of factors, while thinking about the park they were visiting, using a 5-point Likert scale. Descriptive and inferential statistical analysis was undertaken. The results of the scores revealed differences between the two types of park. A factor analysis of the pooled results revealed that the key aspects contributing to a visit were named as ‘having fun and enjoying oneself’, in a place with ‘no barriers to using the park’ and ‘leaving one’s cares behind’ followed by ‘relaxing in the presence of natural beauty’. A further Nonmetric Multidimensional Scaling analysis was undertaken to determine the main factors affecting the differences in preference for each type of park in relation to the key demographic variables. This revealed that the modern parks were preferred over the traditional ones for three significant sets of factors—recreation, accessibility and culture—and that there was a tendency for the historical parks to been favoured by more educated people. The conclusions are that the modern parks support the main preferred activities to support the quality of life of the population—not through their design per se but because they offer many more recreational opportunities. There is potential to include traditional elements such as water features more into parks. Park planners can take the findings and use them to help improve the quality of the parks over time.
Pengaruh protokol hidrasi dan status hidrasi terhadap kekuatan otot tungkai bawah, atensi, dan passing atlet futsal remaja

Tujuan penelitian ini untuk mengetahui pengaruh protokol hidrasi dan status hidrasi terhadap performa kekuatan otot tungkai bawah, atensi, dan passing atlet futsal. Metode yang digunakan adalah analitik kuantitatif dengan desain pretes (sebelum penerapan protokol hidrasi) dan postes (setelah 3 minggu penerapan protokol hidrasi) 22 atlet futsal Akademi Mayasari Bandung. Protokol hidrasi yang diberikan yaitu subjek mengonsumsi 500 mL air 1–2 jam sebelum latihan, 250–500 mL air 15 menit sebelum latihan, dan 500 mL–2 L air selama 1 jam latihan dengan interval minum setiap 20 menit. Pengukuran berat badan sebelum dan sesudah latihan, dilakukan menggunakan Tanita Body Composition Scales untuk menentukan status hidrasi berdasarkan kategori WHO. Performa yang diukur yaitu kekuatan otot tungkai bawah dengan leg dynamometer, atensi dengan Grid Concentration Test (GCT), dan perhitungan jumlah passing terhadap dinding sejauh 2 meter selama 30 detik. Analisis data menggunakan uji paired t-test untuk melihat perbedaan performa sebelum dan sesudah penerapan protokol hidrasi, selanjutnya untuk mengetahui pengaruhnya dilakukan analisis two-way Anova. Hasil penelitian menunjukkan bahwa protokol hidrasi berpengaruh terhadap peningkatan kekuatan otot tungkai bawah (p = 0,012), atensi (p = 0,026) dan passing (p = 0,001) pada atlet futsal, namun tidak dengan status hidrasi. The effect of hydration protocol and hydration status on lower leg muscle strength, attention, and passing of youth futsal athletes AbstractThe purpose of this study was to determine the effect of hydration protocol and hydration status on the performance of lower leg muscle strength, attention, and passing of futsal athletes. The method used was quantitative analytic with pretest (before the implementation of hydration protocol) and post-test (after three weeks of hydration protocol implementation) 22 futsal athletes at Mayasari Academy Bandung. The hydration protocol given was that the subjects consumed 500 mL of water 1–2 hours before exercise, 250–500 mL of water 15 minutes before training, and 500 mL – 2 L of water for 1 hour of training with drinking intervals every 20 minutes. Bodyweight measurements, before and after training, using Tanita Body Composition Scales to determine hydration status based on WHO categories. The performance measured was the strength of the lower leg muscles with a leg dynamometer, attention with the Grid Concentration Test (GCT), and the calculation of the number of passes (against the wall as far as 2 meters) for 30 seconds. Data analysis used paired t-test and two-way ANOVA to determine the effect of the hydration protocol on the performance. The results showed that the hydration protocol affected increasing lower leg muscle strength (p = 0.012), attention (p = 0.026), and passing (p = 0.001) in futsal athletes, but not with hydration status.
Content‐based and knowledge graph‐based paper recommendation: Exploring user preferences with the knowledge graphs for scientific paper recommendation

Researchers usually face difficulties in finding scientific papers relevant to their research interests due to increasing growth. Recommender systems emerge as a leading solution to filter valuable items intelligently. Recently, deep learning algorithms, such as convolutional neural network, improved traditional recommendation technologies, for example, the graph‐based or content‐based methods. However, existing graph‐based methods ignore high‐order association between users and items on graphs, and content‐based methods ignore global features of texts for explicit user preferences. Therefore, this paper proposes a Content‐based and knowledge Graph‐based Paper Recommendation method (CGPRec), which uses a two‐layer self‐attention block to obtain global features of texts for more complete explicit user preferences, and proposes an improved graph convolutional network for modeling high‐order associations on the knowledge graph to mine implicit user preferences. And the knowledge graph in this paper is constructed with concept nodes, user nodes, paper nodes, and other meta‐data nodes. Experimental results on a public dataset, CiteULike‐a, and a real application log dataset, AHData, show that our model outperforms compared with baseline methods.
Command-filter-based adaptive neural tracking control for strict-feedback stochastic nonlinear systems with input dead-zone

The problem of command-filter-based adaptive tracking control is investigated for a class of stochastic nonlinear systems with strict-feedback structure with input dead-zone in this paper. Radial basis function neural network (RBF NN) is employed to approximate the packaged unknown nonlinearities. In order to eliminate the influence of ‘the explosion of complexity’ which will exist in the conventional controller design process via backstepping technique, the control method of the command-filter is introduced. For the problem of input dead-zone which appears in the stochastic nonlinear systems, which will be dealt by a reasonable method, namely, the dead-zone nonlinearity can be regarded as a combination for a linear term and bounded disturbance-like term. Combined adaptive backstepping design algorithm and Lyapunov stability theorem, an adaptive neural command-filter controller is developed. The proposed control scheme reduces the calculation burden due to the repeated differentiation for the virtual control laws and guarantees all the closed-loop signals remain semi-globally uniformly ultimately bounded (SGUUB) in the sense of the four moment. And the tracking error converges to a small area near zero. Meanwhile, the effectiveness of the presented approach is proved by simulation results.
Exploring British Adolescents’ Views and Experiences of Problematic Smartphone Use and Smartphone Etiquette

Smartphones are now a ubiquitous part of daily life for adolescents in the United Kingdom, who use their phones for a multitude of reasons beyond calling or texting. To date, little qualitative research has been conducted with adolescent smartphone users about their experiences of smartphone use, particularly problematic or excessive use. This study directly explored the topics of problematic use and smartphone etiquette with 13 British adolescents aged 16–18 years across three focus group discussions. An inductive thematic analysis resulted in the development of four themes related to users’ experiences: The Comfort Bubble, Digital Native Etiquette, The Extended Self, and Defining Dependency. These themes encompass the different drives underlying potentially excessive or antisocial smartphone use and how young people seek to minimize these risks by monitoring both their own and others’ smartphone use. The findings of this study demonstrate the complexity of disentangling functional and enjoyable smartphone use from problematic use in an era when smartphones are embedded so deeply in modern life. The implications of these findings are discussed in terms of potential future measures of problematic smartphone use and ways of promoting education about healthy smartphone use by applying some of the strategies put forward by the young people in this study. Résumé Les téléphones intelligents sont omniprésents dans la vie quotidienne des adolescents au Royaume-Uni. Ceux-ci les utilisent pour une foule de raisons dépassant le simple appel ou message texte. Il existe à ce jour très peu de recherches qualitatives menées auprès d’adolescents qui utilisent un téléphone intelligent au sujet de leur expérience d’utilisation, particulièrement si elle est problématique ou excessive. Cette étude se penche directement sur l’utilisation problématique et l’étiquette chez 13 adolescents britanniques âgés de 16 à 18 ans dans le cadre de trois groupes de discussion. Une analyse thématique inductive a permis de cerner quatre thèmes liés à l’expérience des utilisateurs : la bulle du confort, l’étiquette numérique naturelle, l’extension du Soi et la définition de la dépendance. Ces thèmes englobent les différents facteurs qui peuvent sous-tendre l’utilisation excessive ou antisociale des téléphones intelligents et la façon dont les jeunes cherchent à réduire ces risques en surveillant leur propre utilisation et celle d’autres personnes. Les conclusions de cette étude démontrent à quel point il est complexe de faire la distinction entre l’utilisation fonctionnelle et agréable du téléphone intelligent et son utilisation problématique à une époque où cet appareil est si profondément ancré dans la vie moderne. Les implications de ces conclusions sont abordées sur le plan des mesures futures potentielles visant l’utilisation problématique des téléphones intelligents et les façons de promouvoir la sensibilisation à l’usage sain à l’aide de certaines des stratégies suggérées par les jeunes ayant participé à cette étude.
Hybrid Dielectric Resonator Antenna for Diversity Applications With Linear or Circular Polarization

This article presents a novel dielectric resonator antenna (DRA) with an eight-port feeding system offering gain and polarization diversity. The single-antenna unit is defined by a square arrangement of four aperture coupled slots (ACSs), hybridized with the radiation of the dielectric resonator. Basically, an atypical feeding layout, realized by two microstrip transmission lines driving each of the four ACSs (thus requiring a total of eight feed lines), allows for controlled excitation of the polarization. This resonator and feeder define the eight-port DRA, which, can offer linear polarization (LP), right-handed circular polarization (RHCP), or left-handed circular polarization (LHCP). Reflection coefficient and coupling values for different port excitation scenarios are also investigated for each polarization state of the $L$ -band antenna. The maximum gain is about 5 dBic for LHCP or RCHP and 5 dBi when considering LP radiation. Such agility can be useful for the global navigation satellite system (GNSS), for example, and other RF challenged environments where the dominant polarization is not known a priori. Other applications include duplex systems, wireless communications, and other phased arrays where gain or polarization diversity is of interest.
Development of an indirect competitive ELISA for the detection of acenaphthene and pyrene

ABSTRACT Polycyclic aromatic hydrocarbons (PAHs) have mutagenic and carcinogenic properties. Acenaphthene and pyrene were members of 16 PAHs which were listed as the priority pollutants in water environment by US Environmental Protection Agency. The reported instrumental methods and immunoassays did not meet the need for simple and sensitive detection of acenaphthene and pyrene. In this study, a monoclonal antiobody having high affinities with acenaphthene and pyrene was produced and an indirect competitive enzyme-linked immunosorbent assay (ELISA) was developed for sensitive detection of acenaphthene and pyrene in water sample. The linear range of the assay was between 3.53 and 41.98 ng mL−1. The sensitivity was 12.17 ng mL−1 which was more sensitive than those of reported ELISAs. The average recovery of acenaphthene and pyrene from three kinds of water samples was 99.08% and 98.45, respectively. The developed ELISA could be used for sensitive detection of acenaphthene and pyrene in water samples.
Robust Digital Control Strategy Based on Fuzzy Logic for a Solar Charger of VRLA Batteries

This paper presents the design and implementation of a digital control strategy for a Buck converter, used as a solar charger of valve-regulated lead acid (VRLA) batteries. The control system consists of two fuzzy logic controllers (FLCs), which adjust the appropriate increment of the converter duty cycle based on battery state of charge according to a three-stage charging scheme. One FLC works as a maximum power point tracker (FLC-MPPT), while the other regulates the battery voltage (FLC-VR). This approach of using two different set of membership functions overcomes the limitations of the battery chargers with a single control function, where the voltage supplied to the battery is either not constant due to the operation of the MPPT algorithm (possibly damaging the battery) or is constant due to the operation of the voltage control (hence, MPP cannot be achieved). In this way, the proposed control approach has the advantage of extracting the maximum energy of the PV panel, preventing battery damage caused by variable MPPT voltage, thereby extending the battery’s lifetime. Moreover, it allows overcoming of the drawbacks of the conventional solar chargers, which become slow or inaccurate during abrupt changes in weather conditions. The strategy is developed to be implemented in a low-cost AT91SAM3X8E Arduino Due microcontroller. Simulations by MATLAB/Simulink and experimental results from hardware implementation are provided and discussed, which validate the reliability and robustness of the control strategy.