Miracle-dz/UniFAR-FTUs huggingface dataset:
Think Aloud in Collaborative Discussion on Reading Comprehension of EFL Students

Tujuan penelitian ini untuk mendeskripsikan proses dan persepsi siswa mengenai penggunaan think aloud dalam diskusi kolaboratif terhadap pemahaman membaca siswa EFL, dan juga untuk mengetahui apakah ada perbedaan yang signifikan terhadap hasil peningkatan pemahaman membaca siswa. Penelitian ini dilakukan di SMA Al-Kautsar Bandar Lampung terhadap siswa kelas sebelas. Data dalam penelitian ini dianalis secara kuantitatif dan kualitatif. Hasil penelitian menunjukkan think aloud dalam diskusi kolaboratif membantu siswa memahami teks bacaan. Selain itu, hasil tes membaca menunjukkan terdapat perbedaan yang signifikan terhadap peningkatan membaca siswa antara siswa yang diajarkan menggunakan think aloud dalam diskusi kolaboratif dan siswa yang diajarkan menggunakan metode konvensional. Ini dapat disimpulkan bahwa think aloud dalam diskusi kolaboratif adalah strategi yang baik untuk membantu siswa memahami teks bacaan.This research was intended to describe the process and students' perception of using think aloud in collaborative discussion on EFL students' reading comprehension, and also to find out whether there was a difference on the students' reading achievement. The research was conducted at SMA Al-Kautsar Bandar Lampung to the eleventh grade students. The data were analyzed both quantitatively and qualitatively. The result shows that think aloud in collaborative discussion helped the students comprehend the texts. Furthermore, the result of reading test indicated that there was asignificant difference of students' reading achievement between those who are taught using think aloud in collaborative discussion and those who are taught using conventional method. It can be concluded that think aloud in collaborative discussion is a good strategy to help the students comprehend reading texts.
The Everyman archetype: discursive reframing of private landlords in the financialization of rental housing

Abstract This article investigates the politico-cultural processes underpinning the financialization of private rental housing. Exploring the case of Australia, it shows how debt-financed landlords have been discursively reframed as ‘mum and dad investors’ who are valorized politically as enterprising, self-reliant and providing essential housing. This article then critically appraises this depiction based on available secondary data, and finds that protagonists are, predominantly, midlife and older households with higher household incomes and higher wealth levels. Furthermore, deployment of an Everyman archetype is a politico-cultural device for normalizing this type of activity as part of the financialization of everyday life. Discursive reframing bolsters political and public support for investor-landlordism as an important contributor to asset-based welfare.
Upstream Social Marketing for Implementing Mobile Government

This article analyses the main aspects of upstream social marketing for the implementation of mobile government (MGov). The methodology of current research is based on the systematic literature review in the fields of MGov and social marketing. According to our findings, most researchers investigated MGov from the side of citizens (consumers) and emphasised the benefits to them while changing their attitudes and behaviours in employing mobile applications. However, as there is a lack of research from the side of governmental bodies, in this paper we were looking for new meanings, attitudes and values from their perspective. Limitations of employment of MGov occur due knowledge gap among decision makers and public policy formers (upstream audience). Therefore, we argue that upstream social marketing for the upstream audience would bring success in faster MGov implementation. Specific social marketing would be mostly valuable on the municipal level that is the closest substance to the society. Thus, in our paper, we emphasise the benefit of the MGov for the local upstream audience and propose possible external marketers as well as the motivating theses based on the 7P of marketing mix (consisting of seven P elements: Product, Price, Place or physical evidence, Promotion, Participants or people, Processes, Political power) for the successful MGov on municipal level.
What Goes up Must Not Come Down - Time Series Momentum in Factor Risk Premiums

I document significant time variation and predictability in a set of risk factors based on technical indicators. As these indicators are primarily designed to detect trends in asset prices, these findings imply substantial time series momentum in factor risk premiums. Specifically, risk premiums are significantly larger (lower) following recent uptrends (downtrends) in the underlying risk factor. A trend-based dynamic factor strategy, which uses the trend-based signals in order to lever up or down the risk factor, yields annual utility gains of up to 500 basis points, doubles the risk factors' Sharpe ratio, and more than halves their maximum drawdown. In a conditional asset pricing context, employing technical indicators as conditioning information substantially improves a model's explanatory power. Overall, my evidence poses several challenges to risk-based asset pricing theories and seems to be more in line with theories of sentiment and investors initial under- and subsequent overreaction to new information.
Efficient Deep Aesthetic Image Classification using Connected Local and Global Features

In this paper we investigate the aesthetic image classification problem, also known as automatically classifying an image into low or high aesthetic quality, which is quite a challenging problem. Considering both the local and global information of images is quite important for image aesthetic quality assessment. Currently, a powerful inception module is proposed which shows very high performance in object classification. We have the observation that the inception module has the ability of considering both the local and global features in nature. Thus, in this paper, we propose a novel DCNN structure codenamed ILGNet for image aesthetics classification, which introduces the Inception module and connects intermediate Local layers to the Global layer for the output. In addition, the ILGNet is derived from part of the GoogLeNet. Thus, we can easily use a pre-trained image classification GoogleLeNet model on the ImageNet dataset and fine tune our connected local and global layer on the large scale aesthetics assessment AVA dataset. The experimental results show that the proposed ILGNet outperforms the state of the art results in image aesthetics assessment in the AVA benchmark. The time cost of both training and test of the ILGNet are significantly less than those of full GoogLeNet with only a little reduction of the classification accuracy. Our ILGNet can achieve similar classification accuracy as that of 2/3 GoogLeNet, whose computational cost is nearly twice of ours. This makes the aesthetic assessment model more easily to be integrated into mobile and embedded systems.
Why and how should design patterns be formalized

Textual descriptions of design patterns are ambiguous and may lead to conflicting interpretations. Since patterns are meant for communication and education, a correct and complete understanding is a prerequisite to their successful usage. Formal specification of design patterns is meant to complement existing textual descriptions. Formal specification allows a rigorous reasoning of design patterns and facilitates tool support for their usage.
TOURISM AND NATURAL ENVIRONMENT IN THE NP TAGANAY (RUSSIA) - HABITS AND PERCEPTIONS OF THE VISITORS

The research analyzes attitudes and habits of the visitors in the National Park (NP) Taganay on South Urals in Russia. The survey method was applied on a sample of 305 respondents in order to investigate visitors’ travel habits, as well as their perceptions regarding different experiences they were exposed to. The results identified a strong positive perception regarding overall experiences from visiting the NP. Specific permanent patterns of behavior were observed and compatibility between visitors’ habits and the environment was determined. The most significant variables affecting perceptions are the frequency of visits and the age. The study has identified certain concerns regarding environmental issues. Respondents were found sensitive to garbage production in public areas and the presence of noise in protected * Corresponding author Tatiana N. TRETIAKOVA, Jovana BRANKOV, Marko D. PETROVIĆ, Yulia A. SYROMIATNIKOVA, Milan M. RADOVANOVIĆ, Alexey MIKHAILOVICH YAKOVLEV 596 territory. The results of the study provide inputs for solving the long-standing conflict between nature conservation and mass tourism in Russian protected areas.
The Income Diversification Strategies of Smallholders in the Hills of Nepal

Motivation. There is an ongoing debate in development economics about whether resources aiming to improve household welfare should be allocated to general development programmes, such as providing education, or to specific income enhancing programmes, such as promoting certain commodities or practices. Purpose. This article contributes to this debate by analysing income levels and income diversification strategies of households that were engaged in growing organic coffee in the hills of Nepal. Engaging in organic coffee production is hypothesized to be an important income enhancing activity for asset‐poor subsistence farmers. Approach and Methods. We conducted a structured household survey of 441 coffee growers from Gulmi and Lalitpur districts in Nepal with a focus on the sources of income. The household income diversification was measured using the mean of the household share of each type of income and the share of a given source of income over a given group of households. We modelled the determinants of household income using Ordinary Least Squares and Tobit regressions. Findings. We found that most households derive a higher proportion of income from off‐farm sources. The main finding is that education increases household off‐farm income by improving access to domestic and international labour markets, and this reduces dependence on farming. Low‐income households have a higher proportion of income from farming. Across all households, non‐certified coffee production is financially more attractive to farmers than organic production. Policy Implications. Our findings suggest that investing in general development, especially education, is more effective than a scheme to promote cash crops as it allows asset‐poor subsistence farmers to engage in regional and international labour markets.
Is Learning Data in the Right Shape?

In this short thought-piece, I attempt to capture the type of freewheeling discussions I had with our late colleague, Mika Seppala, a research mathematician from Helsinki. Mika, not being a psychometrician or learning scientist, was blissfully free from the design constraints that experts sometimes ingest, unwittingly. I also draw on delightful conversations with the German research mathematician, Heinz-Otto Peitgen, a polyglot whose work includes advances in medical imaging and explorations in fractal geometry for K–12 students. Together, they taught me to reconsider foundational assumptions about learning, how to describe it, and how to grow it. Accordingly, I use this set of papers as a prompt for examining assumptions that numerical precision ensures scientific insight, that linear models best capture growth in learning, and that relaxing a fixation with time (exemplified by the reification of pre- and post-testing) might open up new topologies for describing, predicting, and promoting learning in its myriad manifestations.
What Drives Work Addicts to Action? The Extended Model of Work Craving

Abstract The theory of work craving highlights three pathological components of work addiction: the behavioral wanting component (an obsessive-compulsive desire for work), the hedonic liking components (the reduction of negative emotions and compensation for low self-worth), and the cognitive learning component (neurotic perfectionism). In this article, I link the theory of work craving with the theory of motivation and the incentive-sensitization theory of addiction and discuss three major issues: (a) obsessive-compulsive symptoms are not sufficient to diagnose workaholism; (b) two hedonic components of work craving, namely, activity-related and purpose-related incentives, should be considered; and (c) incentive-sensitization is an additional mechanism that may be prepotent for addictive working.
Simultaneous passive SAR imaging and detection of airborne targets

Passive radar has been given much attention for many years. It has several advantages in comparison to active radar, such as possibility of lower cost sensors, ability to operate without disturbing the environment as well as allowing the radar covert operation. As such, passive radar exploits signals of opportunity e.g. FM radio and DVB-T. Ground based passive radars is well proved and is usually for simplicity on a stationary platform, using an array of antennas and a dedicated antenna for reference channel. Most commonly these radars aim at detecting airborne objects. However, recently results have been presented with passive radar on airborne platforms, in which synthetic aperture radar (SAR) images using DVB-T signals has been performed. Only limited research results are published on the topic of air to air passive radar and even less in combination with SAR. In this paper, we present a method that combines passive SAR with airborne moving target detection.
Serious Game for Learning Code Inspection Skills

With the goal of turning software engineering learning more interesting and attractive, or more precisely code reviewing technique, was developed in 2013 an application that allows a teacher to make a set of challenges available in order that students may compete among themselves, finding the maximum number of errors in the least time possible. However this application contains some limitation in what concerns code reviews and inspections, since it only allows individual reviews, while the ideal review is usually done by a group. In addition, the application requires to be installed locally, which lowers both the spectrum of supported devices and the easiness of accessibility.The objective of this dissertation is to investigate, develop and implement an application that includes serious games concepts in code inspections in a way that allows for a better reproduction of a code inspection process. The main challenge is to reduce the limitations of the previous work, develop a feature that allows an approximate reproduction of what a code inspection is, or in other words, that allows group revisions, and add gamification concepts to it. To reach the solution, it was necessary to research gamification elements that favor the continuous use of the application and promote competitiveness.This dissertation shows the research and investigation done, the implementation of the solution found, as well as the results of its testing.
International Competition and Inflation : A New Keynesian Perspective

We develop and estimate an open economy New Keynesian Phillips curve (NKPC) in which variable demand elasticities give rise to changes in desired markups in response to changes in competitive pressure from abroad. A parametric restriction on our speciflcation yields the standard NKPC, in which the elasticity is constant, and there is no role for foreign competition to in∞uence domestic in∞ation. By comparing the unrestricted and restricted speciflcations, we provide evidence that foreign competition plays an important role in accounting for the behavior of in∞ation in the traded goods sector. Our estimates suggest that foreign competition has lowered domestic goods in∞ation about 1 percentage point over the 2000-2006 period. Our results also provide evidence against demand curves with a constant elasticity in the context of models of monopolistic competition.
Study of machine learning based recommendation techniques used by E-commerce

“Customer who viewed this item wills also view that” is an intelligent as well as expert activity that keeps track of customers. Online shopping trends are based on the statistics which execute cross-selling mechanism. This intelligent algorithm will suggest your site visitors with products which were mostly explored by other customers on basis of maximum ratings, purchased or liked and viewed. These suggestions display on product pages that are based on the current product. Various Shopping application and web-sites are using different methods to attract customers. In this paper we are going to study the algorithm and introduction to machine learning approach to find how E-commerce uses recommendation techniques.
Investigation of fluid transients in a penstock attached to a Francis turbine rig using seismic interferometry

Pressure fluctuations in hydropower plants contribute to fatigue loads. Pressure pulsations generated by a reaction turbine will create fluid transients in the attached system which can increase the load on structural parts if resonance occurs. Several factors govern transients in a pipe system where the main parameters are the length between reflection points and the propagation velocity. This paper investigates how to find the propagation velocity of pressure waves measured in the penstock at the Hydropower Laboratory at NTNU by applying techniques from seismic interferometry. A simple 1-D model has been developed using the method of characteristics to compare the experimental results to a known system. Seismic interferometry is primarily used in academic and research settings, the basic principle is to obtain the Green’s function between measured signals. The results from the experimental data and simulations are promising, but further research is needed to optimize both data acquisition and post processing.
Mondays With Mac

The purpose of this chapter is to “paint a picture of the counseling process” through rich description of how the Multicultural and Social Justice Counseling Competencies (MSJCC) can be applied through a model and stance of cultural humility, rather than a blanket state of achieving “cultural competence” in cross-cultural counseling. The mission of this chapter to convey the critical nature of accounting for the first author's (“counselor”) positions of privilege, including positions of racial, age, socioeconomic status, and legal status privileges, over the client (“Mac”), and recognizing how cultural humility needs to be evoked within the counselor in order to apply tenants of the MSJCC as well as the counselor's interpersonal and relational-cultural approach to counseling and facilitating client growth and healing.
Robust landmine detection from thermal image time series using Hough transform and rotationally invariant features

ABSTRACT Automated detection of buried anti-personnel landmines using remote sensing techniques is very important for clearing minefields without putting lives in danger. Although thermal infrared imaging is promising, it is far from applicable to the real world in its current state-of-the-art. The most serious problem is that experiments are generally held using sandboxes or levelled and cleared soil, but real fields are, at least partially, covered with plants. In this study, we present an algorithm for landmine detection that is robust enough to detect beyond the clutter caused by partial plant cover. The first part is a hypothesis generator based on circular Hough Transform applied to images that are filtered to enhance circular structures. The second part tests the candidate landmine coordinates using rotationally invariant features, including modified Histogram of Oriented Gaussians (HOG), over multiple images taken at different times after Wiener filtering to maximize signal-to-clutter ratio. The performances of various features and classifiers are compared. The overall performance of the algorithm is demonstrated on a dataset of real-world landmine images contaminated by simulated plants. Satisfactory results are obtained up to 40% equivalent plant coverage where more than 65% of the pixels are fully or partially covered by plants.
Limitations of the Western Scientific Worldview for the Study of Metaphysically Inclusive Peoples

The study and understanding of peoples whose worldviews include metaphysical phenomena and explanations are undermined by the strict adherence of many social scientists to the Western scientific worldview which acknowledges only physical phenomena and explanations. The effect of employing Western science in studying the material and practiced cultures of these peoples is to reduce them to constituent ontological components, strip away and discard their metaphysical aspects, and then take what can be readily extracted while leaving what is not understood and therefore not valued. This disrespects the knowledge and alternative worldviews of the very peoples that social scientists seek to more fully understand. One solution is not only to acknowledge the existence of and study alternative worldviews, but also to include and even operationally adopt them when appropriate or necessary to more fully appreciate the metaphysical perspectives of other cultures. In anthropology, for example, this approach could be accomplished by extending the rationale for and methodology of participant observation to include worldview pluralism, and employing the most appropriate worldview for a subject or aspect of a subject under study. In archaeology, this approach is consistent with the goals of the growing Indigenous archaeology movement. Specifically, if the subject has a metaphysical aspect, then a non-Western scientific worldview should be employed in studying that aspect rather than simply dismissing it as unimportant or even non-existent. This paper summarizes the philosophical framework underlying Western science and the evolution and current state of the Western scientific worldview in the social sciences, compares and contrasts Western science with Indigenous peoples’ way of knowing, and presents an example of how the limits of the Western scientific worldview can negatively impact the study of metaphysically inclusive peoples.
Communicating highly divergent levels of scientific and social consensus: its effects on people’s scientific beliefs

ABSTRACT This study examined the impact of presenting scientific and social consensus information together on people’s scientific beliefs when the two types of consensus information contradict each other. Japanese adults (N = 1,518) received information about high scientific consensus and low social consensus on the safety of genetically modified (GM) foods, information only about high scientific consensus, information only about low social consensus, or no consensus information. The presentation of only scientific or social consensus information had no effect on participants’ beliefs about the safety of GM foods, whereas the simultaneous presentation of scientific and social consensus information improved their beliefs in some degree. The effect of presenting scientific and social consensus information together was mediated by perceived scientific consensus.