Miracle-dz/UniFAR-FTUs huggingface dataset:
Effectiveness of Facebook in English Language Learning: A Case Study

The prime objective of this research was to investigate whether Facebook helped undergraduate students of Universiti Sains Islam Malaysia (USIM) improve their English language proficiency, critical thinking, comprehension skills, and motivation. A triangulation method (quantitative, qualitative, and descriptive) was employed in the investigation. A total of 900 undergraduate students participated. The 900 participants were first year students from USIM. The instruments used in this research were questionnaires, interviews, and observations. Results from a pre-test and a post-test showed that students who used Facebook i.e. the control group outperformed (88.8% passed) the students who were not exposed to Facebook (60% passed) in all the three categories. The findings indicated that Facebook indeed helped students to improve their English proficiency, besides learning new words and terminologies. This research offers guidelines to future researchers on the methodology of learning English language and helps them design an effective interactive multimedia learning environment in their classroom. The findings of this research would also contribute to the expansion of the paradigm of Constructivism. The findings of this empirical research could be prototyped for learning other languages in the classroom.
Toward an Optimal Degree of Openness in it Innovation Projects

In spite of substantial interest in open innovation (OI), both research and practice lack methods that support companies in managing their IT innovation projects (ITIPs) relative to OI. We contribute to the closure of this gap by providing an approach for an ex ante financial evaluation of OI application, which involves developing a theoretical model that determines the optimal degree of openness in ITIPs. Based on our model, we examine relevant causal relationships by analyzing the influence of a company's ability to manage OI and the probability of success in OI application on the theoretical optimum. We find that the optimal openness level is linked with the company's ability to manage OI, which can incorporate organizational, cultural, and technological maturity. To increase the value contribution of OI, companies should focus on a steady improvement in managing OI. The&#160;results provide both an indicator for practical decision&#8208;making and a starting point for future research.
A chemist's view of liverworts: NMR fingerprinting and chemotype classification of British Plagiochilae

This work has evolved out of the chemical studies of the secondary metabolites of liverworts that have been going on at Glasgow for over 25 years. In considering both our and other people's work in this area, a recurring question was: are the secondary metabolites characteristic of the species or just of the particular specimen? Our efforts to answer this question for particular liverworts have involved using NMR spectroscopy to develop NMR fingerprinting (Rycroft, 1996). The novel aspect of this technique is to extract the plant material with deuterochloroform, the deuterated solvent that is normally used to measure NMR spectra; many benefits arise from the simplicity and directness of the procedure compared to more conventional methods (Rycroft, 1998a). In favourable circumstances, the amount of plant material required is only a fraction of many herbarium specimens, and the method opens up the possibility of undertaking comparative chemical studies using a wide range of fresh and/or herbarium material.
Prediction of Maize Grain Yield before Maturity Using Improved Temporal Height Estimates of Unmanned Aerial Systems

Core Ideas UAS captured increased genetic variation compared with manual terminal height. There were small significant differences in ground filtering methods to extract plant structure. Higher resolution did not improve imagery informativeness with regard to plant height. Logistic function provides informative phenotypes for temporal maize growth. Correlation and prediction accuracy of grain yield increased by ∼20% with UAS heights.
Occupational Therapy for Physical Dysfunction

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Current Status and Future Directions of Pain-Related Outcome Measures for Post-Surgical Pain Trials

ABSTRACT Background: Clinical trials remain vital in order to: A) develop new treatment interventions, and also, B) to guide optimal use of current interventions for the treatment and prevention of acute and chronic postsurgical pain. Measures of pain (e.g. intensity and relief) and opioid use have been validated for the settings of postsurgical pain and continue to effectively guide research in this field. Methods: This narrative review considers needs for innovation in postsurgical pain trial outcomes assessment. Results: Future improvements are needed and include: A) more widespread measurement of movement-evoked pain with validation of various procedure-relevant movemen-tevoked pain maneuvers; B) new validated analytical approaches to integrate early postoperative pain scores with opioid use; and, C) closer attention to the measurement of postoperative opioid use after hospital discharge. In addition to these traditional measures, consideration is being given to the use of new pain-relevant outcome domains that include: 1) other symptoms (e.g. nausea and vomiting), 2) recovery of physiological function (e.g. respiratory, gastrointestinal, genitourinary and musculoskeletal), 3) emotional function (e.g. depression, anxiety) and, 4) development of chronic postsurgical pain. Also, there is a need to develop pain-related domains and measures for evaluating both acute and chronic post-operative pain. Finally, evidence suggests that further needs for improvements in safety assessment and reporting in postsurgical pain trials is needed, e.g. by using an agreed upon, standardized collection of outcomes that will be reported as a minimum in all postsurgical pain trials. Conclusions: These proposed advances in outcome measurement methodology are expected to improve the success by which postsurgical pain trials guide improvements in clinical care and patient outcomes.
The impact of culture, evaluation of store image and satisfaction on purchase intention at supermarkets

Purpose The purpose of this paper is to evaluate the influence of culture in terms of individualism and collectivism (I-C), store image and customer satisfaction, on purchase intention at supermarkets. Design/methodology/approach In order to carry out the descriptive and quantitative research, the authors applied 443 questionnaires to consumers in two Brazilian supermarket chains. The authors used structured equation modeling for data analysis. Findings Customers’ satisfaction and the evaluation of store image positively affect purchase intention; however, I-C did not show any effect. The cultural dimension slightly influenced the assessment of store image by only 2 percent. Store image positively affects consumer satisfaction. Research limitations/implications This study used convenience sampling and omission of vertical and horizontal variations of I-C in data analyses. The authors suggested the use of probabilistic sampling and the inclusion of vertical and horizontal variations of I-C. The relationships investigated herein can still be analyzed in other contexts. Practical implications In order to increase satisfaction and purchase intention, it is necessary to prioritize aspects related to layout, service and products’ variety and quality. Still, managers should not worry about I-C, since it does not affect purchase intention. Originality/value The authors observed the relevance of the study after carrying out a literature review on the subject. There is a lack of studies that investigate the relationship between I-C, evaluation of store image, consumer satisfaction and purchase intention, either together or in the context of supermarkets.
Factors influencing user story estimations: an industrial interview and a conceptual model

A proper estimation of time in user stories is a crucial task for both the IT team as well as for the customer, especially in agile projects. Although agile practices offer a lot of flexibility and promote a culture of continuous change, there are always clearly de need timeboxed periods where an IT company has to commit to delivering working soft-ware. Estimating time of user story implementation provides clarity and the opportunity to control the project by the management, yet at the same time, it can increase pressure on software developers. Thus, incorrectly estimated user stories may lead to quality problems including system malfunction, technical debt, and general user experience issues. The paper describes user story characteristics, reasons of user story estimation inaccuracy as well as a model of their potential impact on post-release defects in large IT software ventures, all derived from the conducted interview with practitioners in Capgemini software development company.
PENGARUH DIKLAT, KEPEMIMPINAN DAN HUBUNGAN INDUSTRIAL TERHADAP KINERJA KARYAWAN

The purpose of this study is to find out about education and training, leadership and industrial relations on employee performance. The population in this study were 158 people with the method of determining the sample using purposive sampling. Data analysis techniques use multiple linear regression. The results showed that education and training had a positive and significant effect on employee performance. Leadership has a positive and significant effect on employee performance. Industrial relations have a positive and significant effect on employee performance. Conducive and harmonious industrial relations practices create a calm work so as to minimize disruption and problems in the work environment. When industrial relations are well maintained there will be an increase in employee productivity. Increasing employee productivity will affect the improvement of company performance. Good company performance is better able to improve employee welfare. Keywords: training, leadership, industrial industrial relation, performance
Cooperación inter-municipal en América Latina: estado del arte y desafíos futuros de la investigación

Resumen Este artículo ofrece un panorama del estado de la investigación latinoamericana sobre cooperación intermunicipal, un fenómeno que ha adquirido relevancia empírica en la región desde la década de los años noventa. A partir de una revisión sistemática de la literatura y del análisis de contenido de 47 artículos publicados entre 2005 y 2016 en revistas indexadas en WOS, Scopus y LatinIndex, este trabajo informa acerca de los avances de la investigación sobre los condicionantes relevantes, las complejidades de la operación y los diferentes efectos de la cooperación intermunicipal en países de América Latina. Los resultados identifican las brechas de investigación en el estudio de las causas y los factores explicativos de la colaboración como modelo organizacional y gobernanza territorial, como también la falta de estudios de efectividad de dichos arreglos. La identificación de estas brechas permitirá orientar la agenda de investigación futura sobre cooperación entre municipios.
Leveraging Infrastructure to Enhance Wireless Networks

Wireless networks have become an increasingly important part of our daily lives. The rise in number of mobile clients and the subsequent services being offered on them has led to not just an increase in demand for wireless data but also change in network traffic characteristics. The proliferation of mobile devices also causes change in wireless topologies over time. However, the available bandwidth remains scarce. Thus, the need for wireless networks to be more spectral efficient is critical. This dissertation investigates a suite of solutions to address this trend in changing wireless networks. We first investigate physical layer solutions at the node level to enhance wireless networks and then look at collaborative techniques across distributed nodes to improve wireless networks. First, collaborative communication techniques such as interference alignment, distributed MIMO have been theoretically explored to enhance the spectral efficiency of wireless networks. However, implementing such solutions in practice require tight synchronization requirements either in time, frequency or both. We present Vidyut, which uses the power lines to provide time and frequency synchronization across distributed nodes to implement such techniques in practice. The advantage of using an orthogonal medium (the power lines) for synchronization purposes alleviates the MAC overhead required to simply synchonize nodes distributed in space. We demonstrate
Some Thoughts on Great Basin Fisheries

Author(s): Delacorte, Michael | Abstract: A review of Great Basin fish biology, aboriginal fishing technologies, and archaeological evidence for the use of fish reveals that (1) only four genera of fish were significantly exploited; (2) fishing was more widespread than previously appreciated; (3) the use of fish increased substantially in late prehistory, with sometimes locally significant consequences for settlement patterns, social organization, and other behaviors; yet (4) fishing remained of limited economic importance in all but perhaps a few places.
Computational Models of Human Learning: Applications for Tutor Development, Behavior Prediction, and Theory Testing

Intelligent tutoring systems are effective for improving students’ learning outcomes (Bowen et al., 2013; Koedinger & Anderson, 1997; Pane et al., 2013). However, constructing tutoring systems that are pedagogically effective has been widely recognized as a challenging problem (Murray, 1999, 2003). In this thesis, I explore the use of computational models of apprentice learning, or computer models that learn interactively from examples and feedback, to support tutor development. In particular, I investigate their use for authoring expert-models via demonstrations and feedback (Matsuda et al., 2014), predicting student behavior within tutors (VanLehn et al., 1994), and for testing alternative learning theories (MacLellan, Harpstead, Patel, & Koedinger, 2016). To support these investigations, I present the Apprentice Learner Architecture, which posits the types of knowledge, performance, and learning components needed for apprentice learning and enables the generation and testing of alternative models. I use this architecture to create two models: the DECISION TREE model, which nonincrementally learns when to apply its skills, and the TRESTLE model, which instead learns incrementally. Both models both draw on the same small set of prior knowledge for all simulations (six operators and three types of relational knowledge). Despite their limited prior knowledge, I demonstrate their use for efficiently authoring a novel experimental design tutor and show that they are capable of achieving human-level performance in seven additional tutoring systems that teach a wide range of knowledge types (associations, categories, and skills) across multiple domains (language, math, engineering, and science). I show that the models are capable of predicting which versions of a fraction arithmetic and box and arrows tutors are more effective for human students’ learning. Further, I use a mixedeffects regression analysis to evaluate the fit of the models to the available human data and show that across all seven domains the TRESTLE model better fits the human data than the DECISION TREE model, supporting the theory that humans learn the conditions under which skills apply incrementally, rather than non-incrementally as prior work has suggested (Li, 2013; Matsuda et al., 2009). This work lays the foundation for the development of a Model Human Learner— similar to Card, Moran, and Newell’s (1986) Model Human Processor—that encapsulates psychological and learning science findings in a format that researchers and instructional designers can use to create effective tutoring systems.
Comparison of Estimation Methodologies for Daily Traffic Count Prediction in Small and Medium Sized Communities

Annual Average Daily Traffic (AADT) is a critical input to many transportation analyses, including maintenance, safety and capacity improvements. Due to cost limitations, AADT data is not typically collected for every roadway in a community. However, the necessity of having quality AADT data estimate for the purpose of making decisions is not subject to only making decisions on roadways with AADT values. This paper presents two machine learning techniques (K* Classification and Random Forest) intended to improve AADT estimation and compares the results to linear regression models. This research was conducted to identify models that can accurately estimate AADTs within a small or medium sized community. The data elements for the models use a combination of roadway and socio-economic factors near the desired count location. The models were tested using statistical tests to ensure the robustness of the models and validated to additional data collected for the community. The results of the paper indicate that the linear regression model was the best option for the communities considered in the study area, and that the machine learning models did not improve the ability to estimate AADT due to over specifying the training datasets.
Micro-machismo and discrimination in academia: The violation of the right to equality in university

The history of the university has been the history of a patriarchal institution traditionally dominated by men. The aim of this article is to show that women have suffered and continue suffering an unequal treatment in academia. The methodology used is qualitative, using forty-three in-depth interviews with academics of a Spanish public university. Experiences and practices that violate the right to equality in academia emerge from their discourses. Among them, we pay special attention to those which can be defined as micro-machismo in labour relationship within the university and related to discrimination against women in the development of professional careers. These results show that gender equality continues being an old aspiration in universities.
Entomofauna Associated with Certain Animal Carcasses as A human Model in Cairo, Egypt

The Journal of Medical Entomology and Parasitology is one of the series issued quarterly by the Egyptian Academic Journal of Biological Sciences. It is an important specialist journal covering the latest advances in that subject. It publishes original research and review papers on all aspects of basic and applied medical entomology, parasitology and host-parasite relationships, including the latest discoveries in parasite biochemistry, molecular biology, genetics, ecology and epidemiology in the content of the biological, medical entomology and veterinary sciences. In addition to that, the journal promotes research on the impact of living organisms on their environment with emphasis on subjects such a resource, depletion, pollution, biodiversity, ecosystem.etc.
Viviendas de alquiler (Airbnb) y alojamientos turísticos tradicionales: nuevo escenario competitivo en el mercado turístico de Extremadura

La proliferación del alquiler turístico ha adquirido dimensiones importantes en muchos destinos, favorecida por algunas plataformas digitales como Airbnb. Su auge supone un incremento notable en la planta de hospedaje. De ello se deduce que es posible que actúen como competencia desleal, ya que no están sometidos a las normas que deben cumplir los alojamientos legales, desmitificando en este sentido el papel de la economía colaborativa para erigirse en un modelo de negocio más. Extremadura no ha sido ajena a esa tendencia, lo que hace que se haya planteado como hipótesis que la proliferación de este tipo de hospedaje profundiza en los problemas ocasionados por la competencia de establecimientos registrados, sobre todo en determinados tipos de alojamiento. Para comprobarla, se obtuvieron los alquileres promocionados en la plataforma digital, a la vez que se procedió a su georreferenciación, junto a la oferta registrada legalmente. Mediante una matriz de correlación se obtuvieron coeficientes que determinan una correspondencia importante entre el alquiler ilegal y las plazas ofertadas en hoteles y apartamentos turísticos, aunque al realizar el análisis territorial se observa cómo afecta a otras variedades de alojamiento, a la vez que tienen una clara vocación por las áreas más turísticas o sus proximidades.
Towards more biologically plausible deep learning and visual processing

Over the last decade, we have witnessed tremendous successes of Artificial Neural Networks (ANNs) on solving a wide range of Al tasks. However, there is considerably less development in understanding the biological neural networks in primate cortex. In this thesis, I try to bridge the gap between artificial and biological neural networks. I argue that it would be beneficial to build ANNs that are both biologically-plausible and well-performing, since they may serve as models for the brain and guide neuroscience research. On the other hand, developing a biology-compatible framework for ANNs makes it possible to borrow ideas from neuroscience to improve the performance of AI systems. I discuss several aspects of modern ANNs that can be made more consistent with biology: (1) the backpropagation learning algorithm (2) ultra-deep neural networks (e.g., ResNet, He et al., 2016) for visual processing (3) Batch Normalization (Ioffe and Szegedy, 2015). For each of the three aspects, I propose biologically-plausible modifications of the ANN models to make them more implementable by the brain while maintaining (or even improving) their performance.
Assessment of Program-wide Curricular Change

significantly higher design self-efficacy, compared to students in the original courses ( t (248) = 2.18, p < . 03). Compared to baseline results, students who completed design challenges developed a more accurate understanding of the iterative nature of the design process. The breadth of qualitative and quantitative assessment tools used throughout this program are instrumental in helping us determine the outcome of these faculty and curricular changes, the results of which are used to continuously shape the direction of future programmatic pedagogical changes.
The Influence of Media in the Involvement of Youth with ISIS Movement in Malaysia

The power of media as a medium of communication and dissemination of ideology has been fully utilized by Islamic State of Iraq and Syria (ISIS) militant movement to strengthen its position. Malaysia has no exception in receiving the ideology of the movement which is claimed to be contrary to Islamic law. There were several categories of Malaysians especially youth affected by the movement and some of them were willing to migrate to Syria to join the fight against ISIS enemies. Their mind and action have greatly been influenced by the power of media and its technology in attracting the agenda of terrorism. Therefore, it is the purpose of this research to study the influence of media on Malaysian youth involvement in ISIS movement. This research uses document analysis and past researches as sources of data collection. The finding shows that media has significantly influenced the thinking and action of its users especially among the youth with the dissemination of news and information provided by ISIS. This research is expected to contribute to the government policies in order to eradicate the ISIS movement threats. Besides, this research is also expected to assist the Malaysian Communications and Multimedia Commission (MCMC) in analyzing the proper approach to counter cyber-attack from damaging the mindset and involvement of youth in ISIS.