Miracle-dz/UniFAR-FTUs huggingface dataset:
Fast Frequent Item Mining from Big Data using Map Reduce and Bit Vectors

Article History: Received: 10 November 2020; Revised: 12 January 2021; Accepted: 27 January 2021; Published online: 05 April 2021 Abstract: One of the most important areas that are constantly being focused recently is the big data and mining frequent patterns from them is an interesting vertical which is perpetually being evolved and gained plethora of attention among the research fraternities. Generally, the data is mined with the aid of Apriori based algorithms, tree based algorithm and hash based algorithm but most of these existing algorithms suffer many snags and limitations. This paper proposes a new method that overrides and overcomes the most common problems related to speed, memory consumption and search space. The algorithm named Dual Mine employs binary vector representation and vertical data representations in the map reduce and then discover the most patterns from the large data sets. The Dual mine algorithm is then compared with some of the existing algorithms to determine the efficiency of the proposed algorithm and from the experimental results it is quite evident that the proposed algorithm “Dual Mine” outscored the other algorithms by a big magnitude with respect to speed and memory.
Sistema de sugestão de produtos para e-commerce utilizando Inteligência Artificial

Resumo. O trabalho trata da implementação de um sistema de recomendação baseado em filtragem colaborativa, utilizando técnicas de Machine Learning e Deep Learning. Esse sistema, diferentemente de outros do tipo, não depende de avaliações de clientes e infere a popularidade dos produtos com base em seu volume e recorrência de venda. Nesse estudo, as recomendações geradas são analisadas a fim de obter insights sobre as lojas virtuais das quais se originaram.
Japanese Students’ English Language Learning Experience through Computer Game-Based Student Response Systems

Technology has been vastly used in learning context for the purpose of enhancing students’ learning performance. The integration of computer in language teaching and learning is growing. In particular, the computer game-based student response systems such as Kahoot! application is implemented by some educators in their teaching classesto improve students’ learning experience. Meanwhile, collaborative learning plays an important role in teaching and learning practice. Thus, this paper aims to examine the use of Kahoot! application integrated with collaborative learning approach influences the learning experiences of Japanese students in English language classroom. An experimental research approach was conducted to study how Kahoot! application is affecting the learning experiences of Japenese students. Student engegement observation checklist and feedback form were used as the research instruments in this study. The population comprised 20 Japanese students who enrolled in English language classroom participated in this experiment. The findings show that Kahoot! integrated with collaborative learning approach made positive impact on students by contributing to better engagement and enhanced learning experience of students. This study can be a reference for instructors who plan to implement game-based student response systems and collaborative learning in English language classroom.
Future Agenda of Iraqi Social-Business Ethics through Corporate Social Responsibility: The Post-War Era

After Defeat of ISIS in Iraq and Syria, there is no major threat of peace in Iraq. Hence, it is time to reconcile the relations and restore the unity through decent policy making concerning better well-being for all Iraqi people. Appropriate business ethics based on pivotal social factors could generate proactive commercial environment in Iraq, which is the key to improve the quality of stakeholders' lives. Firms should develop their strategic corporate social responsibility practices aligned with global trends in order to create optimized values for the stakeholders. It is time for Iraq to create an ethical market for equality and unity in the path of globalization. This study tends to look deeply into this matter and create a better understanding of the subject for better future of Iraqi business laws and its development in practice. Observation and in-person conversations have been conducted in addition to reviewing the literature to understand and answer the questions of the topic at hand. This research investigates the extent of which CSR is implied within the body of Iraqi system and addresses local firms in regard to their willingness and function. Current state of the issue is investigated and possible approaches towards future implementations are provided for managerial benefits.
4IR and Right to Education in Nigeria: Synergybetween Legal Instruments and Stem Education

Laws and policies have important roles to play in advancing the Fourth Industrial Revolution (4IR) through Science, Technology, Engineering and Mathematics (STEM) research in Nigeria. STEM education and knowledge brings about development by converging scholars across the world with recent research discoveries. In order for Nigeria to reap the maximum benefits from the 4IR, its legal system must come in line with the principles advanced by the 4IR. It is important to state that the laws which have been enacted before the contemporary era are inadequate and obsolete. Education (STEM education inclusive) which will benefit the most from thenewrevolution would demand new legal instrumentsthat are adequate and effective to cater for the legal and policy demands of the 4IR by bringing forth a more current and inclusive legal protection for all the relevant beneficiaries. Using doctrinal methodology, thispaperexamines4IR and right to education in Nigeria with a view to establishing the relationship between the legal instruments and STEM education with the objective of advancing the agenda of the relevance of all fields of education for the next generation.The paper is divided into six sections and the findings show that, education (STEM education inclusive) is bedeviled with many challenges andthe extant laws are inadequate to solve them.Thus, making the goal of 4IR unachievable in Nigeria. To reach the greatest dexterities in all works of life, the paper concludes by bringing the significance of laws and policies that wouldaccommodate free STEM education in secondary and tertiary school levels in order to answer the call for 4IR. It recommends research collaboration across STEM fields for integrated curriculum and an amendment of the Constitution. It also advocates for gender equality and investing more in STEM education for having a transformative shift in Nigeria for the purpose of achieving 4IR.
Taking care of business: The routines and rationales of early-career musicians in the Dutch and British music industries

This article explores a small sample of musicians in two European musical contexts – the Netherlands and the UK. It examines the relationship between the conditions of national music industries and the strategies used to negotiate a career in music and the extent to which musicians frame their careers as entrepreneurs. Interview data from two projects with early-career musicians form the basis of our secondary comparative analysis. We argue that their strategizing can be framed as a set of responses to their local structural conditions. However, neither set of responses produces market advantage. Instead, traditional power and economic relations that reinforce the logic of the hegemonic mainstream industry tend to prevail, whereby only a very small fraction of the aspiring musicians can sustain themselves financially in music.
Principais fatores que afetam a precocidade de novilhas nelores e a classificação do sistema de produção precoce: uma revisão

Por muito tempo a precocidade para a raça Nelore foi uma questão-paradigma para os criadores de bovinos de corte. No entanto, nos últimos anos, muitas dessas questões vêm sendo esclarecidas, e agora, sem tantos receios como em tempos passados, pode-se dizer com segurança que a raça Nelore possui animais precoces, e a utilização e multiplicação desses genes voltados à precocidade em um rebanho são essenciais para a manutenção de uma pecuária cada vez mais rentável. Para que essa precocidade possa ser utilizada de uma forma adequada é preciso entender que ela não pode ser tratada como um fator isolado, é necessário compreender que a nutrição, o melhoramento genético e a sanidade são fundamentais para que se alcance os objetivos traçados, reduzindo assim o período de inatividade dos animais no rebanho. Diante do exposto, este trabalho tem como objetivo realizar uma revisão bibliográfica acerca dos principais fatores que influenciam a puberdade de novilhas Nelores, assim como caracterizar o sistema de produção precoce.
Back-Calculation of Fish Size in Diet Analysis of Piscivorous Predators: A New Index for the Alien Silurus glanis

The wels catfish Silurus glanis has been constantly spreading in many European basins, outside its native range. Being a voracious predator, it is considered to have a severe impact on local fish communities. In the Ticino River (Northern Italy), bones of S. glanis were found in feces from the top predator Lutra lutra. To estimate the control capability of L. lutra for this species and to back-calculate S. glanis’ size from its bone remains, whole skeletons from 27 differently sized S. glanis specimens were analyzed. A double pharyngeal element and all caudal vertebrae emerged as significant items for species identification. The mean length of the pharyngeal element was directly related to fish mass, while for vertebrae, a K-index was proposed to identify the position of each vertebra along the spine and, from this, to calculate the original fish mass. This methodology allowed us to establish that the length of the preyed S. glanis was 85–435 mm, and the ages were between 0+ and 2+ years. The proposed methodology opens new perspectives for more detailed studies on the efficiency of predation by piscivorous species on allochthonous ones.
Fourier Transform (FT) Analysis of the Stress as a Tool to Follow the Fatigue Behavior of Metals

This work investigates the possibility of applying Fourier Transform (FT) analysis of the force signal to follow fatigue behavior of metals under oscillatory displacement-controlled tests in uniaxial tension/tension. As a first step, three different materials were selected (cold rolled steel, aluminium and brass). The FT analysis revealed a low level of nonlinearities in the force response, which was possible to measure and quantify as higher harmonics of the imposed sinusoidal deformation. Due to geometric reasons, the odd higher harmonics represent the symmetric nonlinearity while even ones are related to asymmetry, so both odd and even harmonics need to be analyzed separately. The time evolution of the higher harmonics showed that the odd higher harmonics continuously increase during the test. Criteria to better predict the mechanical fatigue and failure (life time) are then proposed based on the integral and derivative based on the time evolution the odd higher harmonics. In contrast, for tests in the high cycle fatigue regime, the even higher harmonics are mainly noise at the beginning of the test (undamaged state), but start to rise after the occurrence of a crack due to internal crack friction. Based on the analysis performed, FT analysis of the force during mechanical fatigue testing of metals is a sensitive tool used to predict failure and to improve our understanding of the dynamics involved in mechanical fatigue.
Validation of a Novel Trial Oral Appliance Protocol Versus a Conventional Custom Oral Appliance Protocol for the Treatment of Obstructive Sleep Apnea

Study Objective: The goal of the study is to compare the treatment response achieved with a trial oral appliance (OA) to that obtained with a custom OA. Methods: A within-subject, repeated-measures, case-control design was performed in which 193 patients were fitted with an Apnea Guard® trial OA (AG), with the vertical dimension of occlusion (VDO) dependent on sex and tongue scallop and protruded to a target setting. Two-night sleep studies assessed response to the AG (i.e., night 1 = baseline, night 2 = AG). Eighty-four responders to the AG were subsequently assessed with a custom OA (CA), fabricated and titrated according to a conventional protocol. Comparisons were then made between the CA and AG. Results: Both males and females showed significant improvements in the overall and supine apnea-hypopnea index (AHI) values, independent of OA and tongue scallop (all P<0.01). Relative to the CA, the AG provided significantly greater reductions in the overall AHI values (P<0.002). Both OAs significantly reduced the nonsupine AHIs in males, but not in females. The proportion of subjects who achieved an AHI < 10 events/h was 44.0% with the CA versus 73.8% with the AG (P<0.0001). The percentages of those who achieved >50% AHI reductions with the CA and AG were 52.4% and 77.4%, respectively (P<0.002). Applying logistic regression to posttreatment AHIs obtained from the two OAs across three outcome criteria, VDO (odds ratio: 1.34–1.83, all P<0.006) and pretreatment overall AHI values (odds ratio: 0.88-1.05, all P<0.02) consistently predicted therapeutic response. Conclusion: The results from this study demonstrated that the AG protocol, which selectively accommodates sex and tongue scallop, provided treatment responses superior to a conventional CA protocol.
Pedestrian Avoidance Method of Autonomous Personal Mobility Vehicles Considering Passenger Comfort

During the autonomous locomotion of personal mobility vehicles (PMVs) in pedestrian space, it is necessary to avoid collisions with pedestrians walking nearby. The avoidance paths of the PMVs are affected by the behavior of the pedestrians, which may also affect passenger comfort. In this study, a local path planning method considering passenger comfort is proposed to design comfortable pedestrian avoidance strategies during autonomous locomotion of PMVs in pedestrian space. First, pedestrian behaviors that affect passenger comfort are investigated by evaluating the comfort in pedestrian avoidance scenarios with different avoidance methods and pedestrian behavior. Next, requirements for a pedestrian avoidance method considering comfort are set based on the behaviors affecting passenger comfort. Finally, a novel path planning method satisfying the requirements is proposed. It is confirmed that the proposed method can generate comfortable paths in pedestrian space, and the validity of the proposed method is examined by a subject experiment.
Understanding formability and geometrical accuracy of SPIF process used as Reshaping approach

Putting in place Circular Economy strategies is an urgent action to be undertaken. Manufacturing processes play a relevant role as efficient material reuse enabler. Scientists have to make an effort either to find new process or to rethink old process to reprocess End-of-life (EoL) components to recover both material and functions. In this paper, Single Point Incremental Forming (SPIF) process is used for reshaping sheet metal EoL components. Deep drawing process as well as uniaxial pre-straining (to imitate the End-of-Life component) followed by SPIF operations (to obtain the reshaped components) are setup and implemented to form and reform aluminum sheet metal components. As the authors have already proved the technical feasibility of such an approach, the present paper aims at a better understanding of the formability and geometrical accuracy performance of SPIF process as used to reform components. Specifically, an experimental campaign varying kind and extent of restraining is developed and the formability and geometrical accuracy of the subsequent SIPF operations is analyzed. Results proves that SPIF process is a promising approach for reshaping purpose.
Future Climate Change Impacts on European Viticulture: A Review on Recent Scientific Advances

Climate change is a continuous spatiotemporal reality, possibly endangering the viability of the grapevine (Vitis vinifera L.) in the future. Europe emerges as an especially responsive area where the grapevine is largely recognised as one of the most important crops, playing a key environmental and socio-economic role. The mounting evidence on significant impacts of climate change on viticulture urges the scientific community in investigating the potential evolution of these impacts in the upcoming decades. In this review work, a first attempt for the compilation of selected scientific research on this subject, during a relatively recent time frame (2010–2020), is implemented. For this purpose, a thorough investigation through multiple search queries was conducted and further screened by focusing exclusively on the predicted productivity parameters (phenology timing, product quality and yield) and cultivation area alteration. Main findings on the potential impacts of future climate change are described as changes in grapevine phenological timing, alterations in grape and wine composition, heterogeneous effects on grapevine yield, the expansion into areas that were previously unsuitable for grapevine cultivation and significant geographical displacements in traditional growing areas. These compiled findings may facilitate and delineate the implementation of effective adaptation and mitigation strategies, ultimately potentiating the future sustainability of European viticulture.
The neural timecourse of American English vowel discrimination by Japanese, Russian and Spanish second-language learners of English

Abstract This study investigated the influence of first language (L1) phoneme features and phonetic salience on discrimination of second language (L2) American English (AE) vowels. On a perceptual task, L2 adult learners of English with Spanish, Japanese or Russian as an L1 showed poorer discrimination of the spectral-only difference between /æ:/ as the oddball (deviant) among frequent /ɑ:/ stimuli compared to AE controls. The Spanish listeners showed a significant difference from the controls for the spectral-temporal contrast between /ɑ:/ and /ʌ/ for both perception and the neural Mismatch Negativity (MMN), but only for deviant /ɑ:/ versus /ʌ/ (duration decrement). For deviant /ʌ/ versus /ɑ:/, and for deviant /æ:/ versus /ʌ/ or /ɑ:/, all participants showed equivalent MMN amplitude. The asymmetrical pattern for /ɑ:/ and /ʌ/ suggested that L2 phonetic detail was maintained only for the deviant. These findings indicated that discrimination was more strongly influenced by L1 phonology than phonetic salience.
Soil moisture and nitrogen content influence wheat yield through their effects on the root system and soil bacterial diversity under drip irrigation

Soil properties and plants influence soil microbial community diversity, and their role in nutrient cycling could influence plant productivity; however, it is not clear the relationships between soil bacterial communities, soil moisture, and nitrogen (N) content, and whether these associations influence plant productivity. In this study, we investigated how the soil microbial community affects root zone productivity in winter wheat. We also verified whether productivity can be improved by water adjustment and N management in drip irrigation field experiments (I0, natural condition; I1, jointing to heading stage S1 55%–80%θf, field capacity, anthesis to mature stage S2 70%–80%θf; I2, S1 55%–90%θf, S2 70%–90%θf; and I3, S1 55%–100%θf, S2 70%–100%θf) and under different N application rates (N0, N1, N2, and N3 represent 0, 150, 200, and 250 kg N ha−1). Soil moisture and N application rate significantly influenced water use efficiency (WUE), N use efficiency (NUE), yield, and soil bacterial abundance and diversity in the wheat root zone. N application decreased the richness indices in un‐irrigated soils (I0), whereas it initially increased, and then decreased the indices in irrigated soils (I1, I2, and I3). The primary factor influencing the dominant bacterial taxa was soil moisture content (SMC), followed by root length density (RLD). The root system and soil bacterial diversity strong influenced wheat yield. The I1N1 treatment resulted in the highest root weight density (RWD), WUE, and NUE, and thus increased wheat yield; furthermore, it had the least influence on the diversity of soil bacteria. Our work suggests that the response of bacterial communities to soil moisture and nitrogen content largely regulates crop production in agro‐ecosystems, and that regulating soil moisture and nitrogen fertilizer use may provide a sustainable solution for maintaining farmland productivity.
The Impact Of Fuel Price Fluctuation And Macroeconomic Variables To Airlines Performance

The airlines industry is facing significant financial risks which arises from the changes in current economic conditions that has impacted the vulnerability of stock returns as well as its financial performance. This research primarily aims to study the effects of fuel price fluctuations and macroeconomic variables to airlines performance from both internal (represented by RoA and RoE) and market perspective (represented by airlines stock return). Data was obtained from publicly listed airlines registered in the International Air Transport Association (IATA) with their business model classification: Low-Cost Carriers (LCC) and Full-Service Carriers (FSC). The analysis was carried out using multiple panel data regression model.
Zero-one inflated negative binomial - beta exponential distribution for count data with many zeros and ones

Abstract The characteristic of count data that have a high frequency of zeros and ones can be considered under a zero-one inflated distribution. In this article, we present a zero-one inflated negative binomial - beta exponential distribution to analyze for such data. This distribution shows that it is extended the mixture negative binomial with beta exponential distributions, was proposed by Pudprommarat, Bodhisuwan, and Zeephongsekul (2012). Some important properties of this distribution are discussed, which include probability mass function, moment generating function, moment about the origin, mean and variance. Additionally, some sub-models are presented. Its parameters are also derived based on the maximum likelihood estimation procedure. The applicability of the proposed distribution is demonstrated for fitting to three real data sets. We also evaluate the abilities of model selection relying on the negative log-likelihood, Akaike information criterion, mean absolute error, root mean squared error, discrete Kolmogorov–Smirnov test and Anderson-Darling tests. Results from this study indicate the zero-one inflated negative binomial - beta exponential distribution has shown the best fit for these data sets when it is compared with some sub-models and the zero-one inflated of traditional distributions.