Miracle-dz/UniFAR-FTUs huggingface dataset:
Is Science Education Relevant

Jn this article a range of results from the ROSE-project (Schrein­ er & Sjoberg, 2004,205) are reported with particular focus on the question of whether science education is relevant to 15-year olds in three OECD countries: Japan, England and Denmark. Based on an analysis of the available data, four dimensions of sci­ ence and science class relevance are investigated. These dimensions wil be referred to as the Everyday life dimension, the Futureand carer dimension, the Science, technology and society dimension and finaly the Science clas content dimension. Finaly the results are discused in a broader perspective. Science education in Europe at all levels is facing significant challenges. Firstly; it is often argued that all citizens must be sci­ entifically literate in order to participate competently in a mod­ ern knowledge-based society where science and technology have major impact on everybody’s fife. On a daily basis, we all face de­ bates in media and in the political arena about socioscientific controversies such as global climate change, the use of gene ma­ nipulated organisms in food products and cloning of human beings (Kolste, 2001). The need for a broadly based and com­ petent participation in decision making concerning these issues demands of the educational system that science be taught in ways which make it interesting and relevant to all students (An­ dersen et al., 2003; Millar & Osborne, 1998). Secondly, there is concern that European countries will find it increasingly more difficult to meet the need for a knowledgeand technologybased society to produce a high proportion of trained citizens capable of conducting research, development and education within science and technology (The High Level Group on In­ creasing Humans Resources for Science and Technology in Eu­ rope, 2004). In order for European educational systems to meet these chal­ lenges science educators and scientists need a qualitatively deep­ er and more solid evidence-based understanding of young peo­ ples’ attitudes towards science, technology and school science. Hence the ROSE-project and this article.
Ant colony system for robot path planning in global static environment

This paper presents a variation of Ant Colony System (ACS) algorithm utilized for Robot Path Planning (RPP) purposes. An accurate representation of heuristic and visibility equation of state transition rules is proposed to sustain the function of Ant Colony System (ACS) for solving RPP problem of finding the optimal path. This algorithm was applied within a global static map that consists of feasible free space nodes. The performance of algorithms in terms of computation time and number of iteration required to obtain an optimal path were evaluated by using a simulation approach. The results were discussed thoroughly and compared with other evolutionary approaches to verify the effectiveness of the proposed ACS.
Spin wave radiation from vortices in 3

We consider a vortex line in the B phase of superfluid He under uniformly precessing magnetization. The magnetization exerts torque on the vortex, causing its order parameter to oscillate. These oscillations generate spin waves, which is analogous to an oscillating charge generating electromagnetic radiation. The spin waves carry energy, causing dissipation in the system. Solving the equations of spin dynamics, we calculate the energy dissipation caused by spin wave radiation for arbitrary tipping angles of the magnetization and directions of the magnetic field, and for both vortex types of He-B. For the double-core vortex we also consider the anisotropy of the radiation and the dependence of the dissipation on twisting of the half cores. The radiated energy is compared with experiments in the mid-temperature range T ∼ 0.5Tc. The dependence of the calculated dissipation on several parameters is in good agreement with the experiments. Combined with numerically calculated vortex structure, the radiation theory produces the order of magnitude of the experimental dissipation. The agreement with the experiments indicates that spin wave radiation is the dominant dissipation mechanism for vortices in superfluid He-B in the mid-temperature range.
Oil Price Density Forecasts: Exploring the Linkages with Stock Markets

In the recent years several commentators hinted at an increase of the correlation between equity and commodity prices, and blamed investment in commodity-related products for this. First, this paper investigates such claims by looking at various measures of correlation. Next, we assess to what extent correlations between oil and equity prices can be exploited for asset allocation. We develop a time-varying Bayesian Dynamic Conditional Correlation model for volatilities and correlations and find that joint modelling of oil and equity prices produces more accurate point and density forecasts for oil which lead to substantial benefits in portfolio wealth.
On the distinction and presentation of idioms and collocations in bilingual English-Greek dictionaries

The distinction between idioms and collocations has long been recognised as being problematic. In the present paper I focus on the distinction between these multi-word constructions on the basis of linguistic criteria already proposed in the framework of various approaches. I also investigate the lexicographical choices made during the compilation of two bilingual English-Greek dictionaries with regard to idioms and collocations. These choices pertain to the selection of idioms and collocations to be included, to the selection of their translational equivalents in the target language, the microstructure of entries including collocational information, and finally to lexicographical instructions such as labels. Following an overview of these choices, I suggest that idioms and collocations are more usefully distinguished based on the theoretical and practical considerations (such as frequency, semantic opacity, internal lexical or syntactic variation, etc), and show how these considerations may be applied by presenting a revised entry for bilingual English-Greek dictionary.
Teacher’ Self-Efficacy And Student Learning

The teacher’s perception of their teaching self-efficacy includes a whole set of beliefs about their own ability to teach and to exert a positive effect on student learning. These beliefs are linked to behaviour patterns that teachers show in the classroom, and that establish marked differences in the type of teaching and in the strategies and methodologies used by teachers in their daily practice. This paper examines the results of a study in which 71 teachers and over 200 students from the University of Deusto (Spain) and the Catholic University of Temuco (Chile) took part. The aim of this study was to analyse teachers’ beliefs and their relationship to students’ perceived learning.
Deep Learning Approaches to Aircraft Maintenance, Repair and Overhaul: A Review

The use of sensor technology constantly gathering aircrafts' status data has promoted the rapid development of data-driven solutions in aerospace engineering. These methods assist, for instance, with determining appropriate actions for aircraft maintenance, repair and overhaul (MRO). Challenges however are found when dealing with such large amounts of data. Identifying patterns, anomalies and faults disambiguation, with acceptable levels of accuracy and reliability are examples of complex problems in this area. Experiments using deep learning techniques, however, have demonstrated its usefulness in assisting on the analysis aircraft health data. The purpose of this paper therefore is to conduct a survey on deep learning architectures and their application in aircraft MRO. Although deep learning in general is not yet largely exploited for aircraft health, from our search, we identified four main architectures employed to MRO, namely, Deep Autoencoders, Long Short-Term Memory, Convolutional Neural Networks and Deep Belief Networks. For each architecture, we review their main concepts, the types of problems to which these architectures are employed to, the type of data used and their outcomes. We also discuss how research in this area can be advanced by identifying current research gaps and outlining future research opportunities.
Geodemographics of Travel E-shoppers: An Empirical Analysis of UK Consumers

Among all the industries, the travel industry has clearly benefited the most from the development of Internet technology. Obviously, the Internet has changed how people interact with travel agents, for example, the issuance of e-tickets for flights has replaced the ticketing counters of travel agents and airlines offices. This study aims to fill the gaps in the current understanding of the potential of expanding the online market for travel services in the United Kingdom through examining the geodemographic profile of online shoppers. This study involved analysing the customers' demographic and geographic data and their purchasing pattern. The results are consistent with past models and commercial databases that have been adopted by many companies in segmenting their market. The study offers suggestions for consideration by businesses and the government.
Control-Flow Integrity for Real-Time Embedded Systems

Attacks on real-time embedded systems can endanger lives and critical infrastructure. Despite this, techniques for securing embedded systems software have not been widely studied. Many existing security techniques for general-purpose computers rely on assumptions that do not hold in the embedded case. This paper focuses on one such technique, control-flow integrity (CFI), that has been vetted as an effective countermeasure against control-flow hijacking attacks on general-purpose computing systems. Without the process isolation and fine-grained memory protections provided by a general-purpose computer with a rich operating system, CFI cannot provide any security guarantees. This work proposes RECFISH, a system for providing CFI guarantees on ARM Cortex-R devices running minimal real-time operating systems. We provide techniques for protecting runtime structures, isolating processes, and instrumenting compiled ARM binaries with CFI protection. We empirically evaluate RECFISH and its performance implications for real-time systems. Our results suggest RECFISH can be directly applied to binaries without compromising real-time performance; in a test of over six million realistic task systems running FreeRTOS, 85% were still schedulable after adding RECFISH.
Autoregressive Prediction with Rolling Mechanism for Time Series Forecasting with Small Sample Size

Reasonable prediction makes significant practical sense to stochastic and unstable time series analysis with small or limited sample size. Motivated by the rolling idea in grey theory and the practical relevance of very short-term forecasting or 1-step-ahead prediction, a novel autoregressive (AR) prediction approach with rolling mechanism is proposed. In the modeling procedure, a new developed AR equation, which can be used to model nonstationary time series, is constructed in each prediction step. Meanwhile, the data window, for the next step ahead forecasting, rolls on by adding the most recent derived prediction result while deleting the first value of the former used sample data set. This rolling mechanism is an efficient technique for its advantages of improved forecasting accuracy, applicability in the case of limited and unstable data situations, and requirement of little computational effort. The general performance, influence of sample size, nonlinearity dynamic mechanism, and significance of the observed trends, as well as innovation variance, are illustrated and verified with Monte Carlo simulations. The proposed methodology is then applied to several practical data sets, including multiple building settlement sequences and two economic series.
Should Foreign Aid Fund Agricultural Training? Evidence from Armenia

This working paper used a randomized controlled trial to estimate the effectiveness of a U.S. government-funded farmer assistance program that trained more than 50,000 farmers throughout Armenia. Training did not increase household income or consumption, or affect mediating outcomes, such as adoption of agricultural practices or changes in cultivation of crops, suggesting that longer-term impacts are unlikely to materialize.
Tourism and economic growth in Portugal: An empirical investigation of causal links

This study is designed to investigate the relationship between real income and both national and international tourism volume for Portugal. The study uses quarterly data and covers the period for 1995-2015. The stationary properties of the time series data are examined by using conventional and endogenous break unit root tests . The Johansen maximum likelihood cointegration and Toda-Yamamoto Granger causality tests are employed to search for a long-run relationship along with causality among the variables. The findings of the tests provide evidence for the existence of long-run cointegration relationship between arrivals at tourist accommodation establishments and real income. The causality results show that real income is caused by foreign tourist’s arrivals, and detect bilateral causality between domestic tourists and foreign tourists.
Anti-proliferation of MDA-MB-231 cells by Averrhoa bilimbi extract is associated with G0/G1 perturbation and mitochondria-mediated apoptosis independent of p53

Practiced as folk medicine since ancient times, bilimbi (Averrhoa bilimbi) is commonly consumed and widely cultivated in Malaysia. In search for naturally occurring anticancer agents, a potential fruit extract was found to exert anticancer properties in vitro without any cytotoxic effect on normal cells. This study investigated the anti-proliferative effect and underlying cell death pathway induced by bilimbi ethanolic extract on human non-hormone-dependent breast cancer cell line, MDA-MB-231. Anticancer potential of bilimbi extract was conducted by investigating the in vitro growth inhibitory effect, DNA fragmentation, cell cycle progression and anti-proliferation assay. Release of caspases, cytochrome c and apoptotic proteins were demonstrated to determine the mechanism of cell death pathway. Findings revealed that bilimbi inhibited growth of MDA-MB-231 cells through the induction of apoptosis mediated by cell cycle arrest at G0/G1 checkpoint. Released of cytochrome c coupled with up-regulation of caspase-3/7, caspase-9 and Bax pro-apoptotic proteins in addition to down-regulation of dysfunctional p53 and Bcl-2 anti-apoptotic proteins implied that bilimbi induced a p53-independent mitochondrial apoptosis pathway in MDA-MB-231. These results suggest that bilimbi could induce tumor cell anti-proliferation through apoptosis. As a natural product, bilimbi could be a promising anticancer agent and an inexpensive approach to cancer chemoprevention strategy.
Vulnerability analysis of the Mavlink protocol for Unmanned Aerial Vehicles

Recently, interest in the Unmanned Aerial Vehicle (UAV) has increased, and unmanned aircraft are utilized in various fields. Especially UAVs are used for rescue systems, disaster detection, and military purposes, as well as for leisure and commercial purposes. However, since UAVs are increasingly used not only for positive purposes but also for negative ones, it is necessary to detect and neutralize malicious drones. In this paper, we proposed a method of controlling UAVs and analyzed its operation structure, the MAVLink protocol which is a communication protocol of UAVs. We also experimented with ICMP flooding and packet injection attacks which disables UAVs by exploiting the vulnerability of the MAVLink protocol. Especially, we exploited the vulnerability of the MAVLink waypoint protocol to perform an experiment to disable a UAV executing a mission. As a result of the experiment, we confirmed that the attacked UAV was stopped and the mission
Item-Based Explanations for User-Based Recommendations

Explanations can increase user satisfaction with recommender systems. While it is relatively easy to explain the recommendations of a content-based or an item-based collaborative recommender system, user-based collaborative recommendations are harder to explain. In this work, we adopt an approach from the literature that generates explanation rules for userbased collaborative-filtering recommendations. These rules are item-based: for example, “If you liked Toy Story then you might also like Finding Nemo”. We modify the approach by proposing two new, alternative measures of explanation rule quality. We evaluate the two new measures in a user study and show that users prefer explanation rules whose antecedents are both accurate and unique with respect to the recommended item. Keywords–Recommender systems; Explanations; Collaborative filtering.
Kalman Filter Aided Cooperative Optical Beam Tracking

In free-space optical communication between mobile terminals relative motion of the terminals requires an active mechanism to maintain optical alignment between the stations. Cooperative optical beam tracking could be used to address this problem. In this alignment scheme, each station tracks the arrival direction of its impinging beam to employ it as a guide to precisely point its own beam toward the opposite station. Tracking is achieved at each station by a quadrant photodetector which generates simultaneous azimuth and elevation error voltages. In this study a Kalman filtering assisted cooperative optical beam tracking has been proposed and its suitability to cooperative beam tracking is discussed. In this method, Kalman filter is employed to predict the alignment error that is used to produce appropriate control signals for re-alignment. Performance of the proposed method has been demonstrated through simulations.
Bayesian Inference in Cointegrated I (2) Systems: A Generalization of the Triangular Model

This paper generalizes the cointegrating model of Phillips (1991) to allow for I (0), I (1) and I (2) processes. The model has a simple form that permits a wider range of I (2) processes than are usually considered, including a more flexible form of polynomial cointegration. Further, the specification relaxes restrictions identified by Phillips (1991) on the I (1) and I (2) cointegrating vectors and restrictions on how the stochastic trends enter the system. To date there has been little work on Bayesian I (2) analysis and so this paper attempts to address this gap in the literature. A method of Bayesian inference in potentially I (2) processes is presented with application to Australian money demand using a Jeffreys prior and a shrinkage prior.
Reproductive Performance of Three Iranian Sheep Breeds

To evaluate the ewe reproductive performances of three Iranian local sheep breeds, namely Moghani, Chal and Zel, 27 rams and 473 ewes were used as the foundation flock in a crossbreeding program. The three breeds were crossed amongst themselves reciprocally. Ram breed and ewe breed showed a two-way interaction on apparent fertility. The Zel ewes showed higher fertility than the Chal and Moghani ewes (94.4 vs 77.3 and 84.6%). Prolificacy among main and individual mating groups were not significantly different (p>0.05). Zel ewes were 22.3 and 14.8% more reproductive (p<0.05) than Chal and Moghani ewes, respectively. Zel and Moghani ewes showed higher (p<0.05) ewe productivity than Chal ewes. Ram breed had a significant (p<0.05) effect on ewe efficiency. The Zel rams were not completely successful to mate with Chal ewes, this caused a to way-interaction between ram and ewe breeds. The Zel ewes mated with Chal and Moghani rams showed 26.1 and 28.5% more efficiency than those mated with Zel rams. This observation strongly supports the use of crossbreeding to improve the efficiency of the Zel ewes. With decreasing lamb mortality, through supplemented feeding of lambs in pre-weaning period, and increasing litter weight, through crossbreeding, it should be possible to improve the efficiency of Zel ewes even better than Chal and Moghani ewes. Small body size of Zel ewes that needs the lower maintenance requirements would be a well advantageous to using Zel ewes as the dam herd to produce commercial lambs in north area of Iran. (Asian-Aust. J. Anim. Sci. 2003. Vol 16, No. 1 : 11-14)
Convolutional Recurrent Neural Networks for Urban Sound Classification Using Raw Waveforms

Recent studies have demonstrated deep learning approaches directly from raw data have been successfully used in image and text. This approach has been applied to audio signals as well but not fully explored yet. In this works, we propose a convolutional recurrent neural network that directly uses time-domain waveforms as input in the domain of urban sound classification. Convolutional recurrent neural network is combined model of convolutional neural networks for extracting sound features and recurrent neural networks for temporal aggregation of the extracted features. The method was evaluated using the UrbanSound8k dataset, the largest public dataset of urban environmental sound sources available for research. The results show how convolutional recurrent neural network with raw waveforms improve the accuracy in urban sound classification and provide effectiveness of its structure with respect to the number of parameters.
THE RELATIONSHIP BETWEEN EARLY ATTACHMENT AND MARITAL SATISFACTION IN EARLY ADULTHOOD

iii ACKNOWLEDGMENTS iv LIST OF TABLES vii LIST OF FIGURES viii CHAPTER ONE: INTRODUCTION 1 Benefits of Marriage 4 Marital Satisfaction 7 Demographic and Belief Similarities 8 Personality Qualities 8 Communication 9 Sexual Satisfaction 12 Love 15 Partner Attachment 17 Summary and Purpose of Study 23 CHAPTER TWO: METHOD Participants 26 Measures 26 Marital Satisfaction 27 Sexual Satisfaction 27 Communication 28 Early Attachment 29 Partner Attachment 30 Demographics 30
News Article Classification with Clustering using Semi-Supervised Learning

This paper proposes a method for automated classification of news articles from various online news sources into certain labels based on their domain. The work uses concepts of Natural Language Processing and Machine Learning. Concepts in Clustering, including Spherical K-Means Clustering and Incremental Clustering have been explored. The accuracy of the results obtained from the suggested models was encouraging. These results can be used to compare how the interests of different audiences vary for different news sources.
The concept and perception of peace education in Gilgit Baltistan Pakistan: A comparative case study

In the geographically remote culture and context of Gilgit Baltistan Pakistan, this study explores the perceptions and practices of peace education by two secondary school head teachers (one in a relatively urban area and another in a rural area), as well as three additional teachers from each school. A qualitative, interview-based research approach is employed. The concept of peace education is related by the interviewed teachers to the inculcation and development of positive thinking and positive attitude among students. This positivity is seen as instrumental for the holistic development of the children, and ultimately, for the cultivation of a peaceful society.