Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparative Study on Efficiency of Using Supervised Learning Techniques for Target-Dependent Sentiment Polarity Classification in Social Media

Classifying polarity of sentiments expressed in micro-blogs, such as tweets, is an active research area nowadays. The research direction has been focusing on classifying sentiments towards specific targets, i.e., topics, in the micro-blog. A more recent direction currently addresses the problem of detecting the target then identifying the sentiment toward it. While the former direction is referred to as target-dependent sentiment classification, the latter direction is referred to as open domain targeted sentiment classification. Many approaches have been proposed in the literature for automatic sentiment classification. Most of these approaches use supervised learning techniques that exploit only labeled data for training their proposed models. This paper presents an invited extension to a recent survey published by the authors. In this paper, we compile and present the accuracy reported by researchers with respect to the application of different techniques when applied to the same dataset. Our study presents comparisons between different techniques with regard to both the target-dependent and the open domain targeted sentiment classification. The study identifies some gaps to be addressed in future research. For instance, it shows that performance of both target-dependent and open domain targeted sentiment classification is still limited, and further future research could be promising.
Creating novel tones from adjectives: An exploratory study using FM synthesis.

Perceptual studies of timbre semantics have revealed certain consistencies in the linguistic concep-tualization of acoustic attributes. In the standard experimental paradigm, participants hear timbral stimuli and provide behavioral responses. However, it remains unclear the extent to which descriptive consistency would be observed if this paradigm were reversed, that is, if participants were instructed to create novel timbres in response to target adjectives. Given an unfamiliar synthesis interface, would musically trained participants craft similar timbral profiles for the same familiar adjectives? In this study, we explore timbre semantics using a novel frequency modulation (FM) synthesis production task. Participants ( N (cid:2) 64) created unique timbral outputs in response to 20 common timbre descriptors drawn from orchestration treatises (e.g., brilliant , dull , harsh ). Acoustic analyses of the resultant 1,280 signals, in conjunction with linear mixed-effects modeling and clustering analysis, indicate that participants were moderately consistent in their timbral creations. Word valence and arousal interacted to influence average spectral centroid and noisiness. Specifically, clearly positive and negative words produced significantly different acoustical profiles than more affectively neutral words. This result confirms a number of findings from the perceptual literature while offering preliminary evidence that affective dimensions of timbre semantics sys- tematically influence sound production in an unfamiliar context. subcluster suggests commonalities in acoustic profiles for these three words.
Assessing ICT Literacy Skills of Research Students of University of Pune

Many type of information is available on the web, which is accessible and available 24x7 to users. As such the web have both types of information free as well as subscribed, as the information is easy to search and retrieve using many search strategies users are more attracted towards the web. In order to retrieve the information available on the web it is necessary that the users should have proper knowledge of information and communication technology. Only retrieval is not sufficient, but the user needs to evaluate and use the information in a right ethical manner then and then only he/she may be recognized as information literate. Attempt is been made to assess the literacy skills of the students to access information from the web and found that they require to develop some skills such as of copyright and plagiarism so as to use the information in a proper way.
Communicating Climate Change: Probabilistic Expressions and Concrete Events

Despite near unanimous agreement among climate scientists about global warming, a substantial proportion of Americans remain skeptical or unconcerned. The two experiments reported here tested communication strategies designed to increase trust in and concern about climate change. They also measured attitudes toward climate scientists. Climate predictions were systematically manipulated to include either probabilistic (90% predictive interval) or deterministic (mean value) projections that described either concrete (i.e., heat waves and floods) or abstract events (i.e., temperature and precipitation). The results revealed that projections that included the 90% predictive interval were considered more trustworthy than deterministic projections. In addition, in a nationally representative sample, Republicans who were informed of concrete events with predictive intervals reported greater concern and more favorable attitudes toward climate scientists than when deterministic projections were used. Overall, these findings suggest that while climate change beliefs may be rooted in partisan identity, they remain malleable, especially when targeted communication strategies are used.
Capitalizing on a “Huge Resource”: Successful Aging and Physically Active Leisure Perspectives from Older Males

Abstract A major concern in the context of aging populations is improving patterns of active leisure involvement. However, there is insufficient knowledge pertaining to the relationship between successful aging and active leisure. Preliminary evidence indicates older Canadian women have varying beliefs about the ways they can age successfully and the role physical activity may have in this process. To more fully inform health promotion initiatives, the current study explored the related perspectives of 19 older Canadian men (75–90 years of age) who varied in their level of physical activity involvement. Data were collected through semi-structured interviews and analyzed through the use of standard coding and comparison procedures. Overall, older men appeared to also use multiple perspectives to frame the intersection of successful aging and physically active leisure. Researchers, practitioners, and policy makers should be aware of these nuances so that aging-related programs and policies may be tailored accordingly.
Translanguaging in EFL classrooms: Teachers’ perceptions and practices

The belief that the native language practices of individuals improve their competence in a foreign language gave rise to a number of bilingual language pedagogies, one of which is translanguaging. This term does not merely refer to switching between two languages, on the contrary, it involves a systematic use of two languages in a particular language teaching activity. In this study, English language teachers’ perceptions of translanguaging were examined through a questionnaire. Classroom observations were done to examine for what purposes they apply the use of L1 in their teaching and semi-structured interviews were done to figure out the reasons of the differences between their perceptions and actual use of L1. The participants of the study were English language teachers (EFL) who work at state and private schools in Turkey. The Likert-type items in the questionnaire were analyzed quantitatively using descriptive statistics and the data gathered from open-ended questions in the questionnaire, classroom observations and semi-structured interviews were exposed to structural-coding analysis. The results showed that EFL teachers’ perceptions were not akin to their practices. Although they held positive views about translanguaging in some particular situations, they did not frequently employ this pedagogy due to the expectations of their institutions, colleagues and parents of their students.
Collaborative dynamics in a practice of increasing utility cycling

This study explores prerequisites for closer collaboration between practitioners who in different ways work to increase the cycle share of all travels in a Norwegian municipality. Attention is given to how practitioners make sense of the practice where they work. Within the practice, the focus is targeted at collaboration. I ask: What is characterising the practice in terms of meanings, materials and competences? What prerequisites for closer collaboration can be identified for the practice to meet the goal of increasing the cycle share of all travels? The analysis draws on practice theory and an integrative framework for collaborative dynamics. The data originate from interviews and observations with practitioners working with bicycle planning or mobility management. The results show that meaning, material and competence characterising the practice, contain prerequisites for closer collaboration in different ways. In relation to collaboration, the practitioners of the practice share meanings of making it easy and safe to cycle, benefits and challenges of closer collaboration. Material aspects related to collaboration concerns shared information and the workspace, which enable the practitioners to be updated on each other’s work. In addition, competences to ask and transmit high-quality knowledge characterise the practice in relation to closer collaboration. The study indicates that the practitioners’ relationship and shared aspirations are the main prerequisites for closer collaboration. Today, the practice in question contains little collaboration between practitioners with different work tasks, specifically bicycle planners and mobility managers. The study indicates that the practice’s capacity for joint action is limited, suggesting that a key management priority should be to enable practitioners, working with physical and social factors, to consider the knowledge they rely on and engage in closer collaboration.
What are natural concepts? A design perspective

Conceptual spaces have become an increasingly popular modeling tool in cognitive psychology. The core idea of the conceptual spaces approach is that concepts can be represented as regions in similarity spaces. While it is generally acknowledged that not every region in such a space represents a natural concept, it is still an open question what distinguishes those regions that represent natural concepts from those that do not. The central claim of this paper is that natural concepts are represented by the cells of an optimally designed similarity space.
A NEW VISUAL TRACKING ALGORITHM BASED ON TEMPLATE REGISTRATION FOR ACCURATE OBJECT TRACKING

Visual tracking serves an important role in a wide variety of applications like video surveillance, robotic manipulation and augmented reality. The goal of tracking in the last two cases here is to efficiently and accurately locate the object in each frame of an image sequence/stream, with the target selected in the first frame. Various visual tracking algorithms have been proposed in literature recently, but many of them fall in the category of long-term object tracking algorithms that are more focused on the tracking robustness and are not accurate enough for such applications. On the other hand, registration based tracking algorithms can achieve greater accuracy in tracking high degree-of-freedom (DOF) object motion, but are likely to fail when fast object motion or noise in the image space is present. In this thesis, we focus on improving the robustness of registration based tracking algorithms towards fast motion and noise, while retaining good accuracy and efficiency. Concretely, we propose a novel tracking algorithm called RKLT that takes advantage of both 2D KLT trackers and the RANSAC algorithm for robust 8 DOF inter-frame target motion estimation. Inlier pixels selected by RANSAC are used to perform global registration using the efficient Inverse Compositional (IC) tracker to avoid tracking drift. In addition, we also explore the different parameterizations on the state space model of a registration based tracker which characterizes the object state in 2D image space during tracking. In particular, we show how the corner based parameterization can be applied to the 8 DOF tracker using efficient second-order minimization (ESM). The impact of different parameterizations on the performance of IC and ESM trackers is also investigated in the experiments. Finally, we introduce a new tracking dataset, Tracking for Manipulation Tasks (TMT) dataset with over 100 image sequences. New evaluation methods are also designed for better evaluation of high DOF trackers with greater accuracy. A tracking testbed is also provided for more convenient comparison among different tracking algorithms. In the experiments, the proposed RKLT algorithm performs better than three other registration based trackers, especially in the faster sequences of TMT dataset. In the public Metaio benchmark too, RKLT achieves better results than the ESM tracker which is considered the state-of-the-art.
Development the Physical Properties of Polymeric Blend (SR/ PMMA) by Adding various Types of Nanoparticles, Used for Maxillofacial Prosthesis Applications

As maxillofacial defects increased due to cancer; it became necessary to select high-quality prosthetic materials in this field. Silicone rubber is widely used in damaged maxillofacial affected areas replacement surgery as bio material. The aim of this research, prepared a nano composites materials, from polymer blend (silicone rubber: 5% PMMA) reinforced by different types of nano-powders; pomegranate Peels Powder (PPP), Seeds powder of dates Ajwa (SPDA) and TiO2 nano-powders with loading level (0.0, 0.1, 0.2, 0.3 and 0.4%). Some physical properties such as density, water absorption, and Thermo-Physical test, FTIR analysis, as well as, FTIR, antibacterial tests were done on prepared samples. The results showed that the composites material based of polymer blend with optimum percent are of 0.2% of pomegranate Peels Powder (PPP), 0.3% of Seeds powder of dates Ajwa (SPDA) and 0.1% of TiO2 nano-powders that have ideal characteristic. Also for antibacterial tests, polymeric blend composites with optimum percent of this nano-powders show that more antibacterial efficiency against S . aureus bacteria than E.coli bacteria. KeywordsMaxillofacial Prosthesis, Nano powder, Polymer Blend, Physical Properties, PMMA, Silicone rubber. How to cite this article: S.I. Salih, J.K. Oleiwi and H.M Ali, “Development the Physical Properties of Polymer Blend (SR/PMMA) by Adding various Types of Nanoparticles, Used for Maxillofacial Prosthesis Applications ,” Engineering and Technology Journal , Vol. 37, Part A, No. 04, pp. 120-127, 2019.
Systematic groupings in hearing-impaired consonant perception

Auditory training programs are currently being explored as a method of improving hearing-impaired (HI) speech perception; precise knowledge of a patient’s individual differences in speech perception allows one to more accurately diagnose how a training program should be implemented. Re- mapping or variations in the weighting of acoustic cues, due to auditory plasticity, can be examined with the detailed confusion analyses that we have developed at UIUC. We show an analysis of the responses of 17 ears with sensorineural hearing loss to consonant-vowel stimuli, composed of 14 English consonants followed by the vowel /A/, presented in quiet and speech- shaped noise. Although the tested tokens are noise-robust and unambiguous for normal-hearing listeners, the subtle natural variations in signal properties can lead to systematic differences for HI listeners. Specifically, our recent findings have shown token-dependent individual variability in error and confusion groups for HI listeners. A clustering analysis of the confusion data shows that HI listeners fall into specific groups. Many of the token-dependent confusions that define these groups can also be observed for normal-hearing listeners, under higher noise levels or filtering conditions. These HI-listener groups correspond to different acoustic-cue weighting schemes, highlighting where auditory training should be most effective.
Including the Voices of Librarians of Color in Reference and Information Services Research

Reference & User Services Quarterly, vol. 57, no. 2, pp. 104–114 © 2017 American Library Association. All rights reserved. Permission granted to reproduce for nonprofit, educational use. Librarians of color make up a small proportion of information professionals, but their perspectives should still be included in theory and best practices. This study seeks to create an inclusive understanding of reference and information service (RIS) by exploring the experience of RIS for librarians of color. Using interpretative phenomenological analysis, the experience of RIS for eight librarians of color, from various ethnic groups and types of libraries, is analyzed. Five themes of experience emerged from the analysis: uniqueness and difference; broad range of professional skills; messiness and beauty of the human interaction; working in a web of outside forces; and learning, growth, and change. In relation to prior research, findings show that these librarians of color experience reference and information work as multifaceted and user-focused, in common with librarians in general. However, they have unique experiences of reference and information services work because of microaggressions and discrimination and because of their focus on serving as a role model or mentor.
Inflation Hedging Properties of Different Asset Classes in Malaysia

Manuscript type: Research paper Research aims: The objective of this study is to examine the inflation hedging properties of various asset classes (stock, gold, real estate, Treasury bond and Treasury bill) in the Malaysian context. Design/Methodology/Approach: This is an empirical analysis using quarterly data from the period of 1980 to 2016. The Autoregressive Distributed Lag (ARDL) bounds cointegration model is used for testing the long-run relationship while the error correction model (ECM) is used for testing the short-run dynamics. Research findings: Our results show that stocks and government bonds in Malaysia can provide a complete hedge against inflation in the long-run while real estate shows partial hedging evidence. Gold and Treasury bills, however, are not inflation hedges. For the shortrun, stocks, gold and real estate show evidence of rapid adjustment to changes in inflation while government securities indicate a mild adjustment. Theoretical contributions/Originality: First, this study provides new evidence on inflation hedges from the perspective of an emerging market. Second, this study uses the ARDL and ECM approach to study the long-run and short-run dynamics of asset returns and inflation. This is in contrast to many previous studies that mainly used the Ordinary Least-Squares (OLS) analysis. Third, this study is important for the Malaysian market because previous studies in Malaysia had merely focussed on stock returns and inflation. This study broadens the scope by including different asset classes. Practitioner/Policy implications: The implication to investors and fund managers is that they should consider stocks, real estate and Treasury bonds in their investment portfolios, given that these asset returns offer satisfactory protection against inflation. Research limitations/Implications: The result discussed in this study may be specific to the data and methodology employed in the analysis; thus, it is not applicable to other periods nor other emerging markets. Future studies on inflation hedges may consider a comparative study of a cross-section of countries or use an expanded array of assets in the analysis. Keywords: Fisher Effect, Inflation Hedges, ARDL Bounds Tests, Malaysia JEL Classification: G12, G18
The Nexus between Tax Revenue and Economic Growth in Nigeria

This study examined the nexus between tax revenue and economic growth in Nigeria. Specifically, the study evaluated the impact of petroleum profit tax on economic growth of Nigeria, assessed the effect of company income tax on economic growth of Nigeria and ascertained the influence of value added tax on the economic growth of Nigeria. The ex-post facto research design was employed; time series were collected data from the statistical bulletins of the CBN and the FIRS. The study’s model reflected variables including gross domestic product, petroleum profit tax, company income tax and value added tax. Data collated for these variables were analyzed to ascertain the short and long run effect of the variables using the Multiple Regression Analysis, Co-integration and other post estimation tests. Findings from the study indicated petroleum profit tax exerts a positive significant impact on economic growth with a coefficient an estimate coefficient of 3.707601(p=0.5150>0.05), company income tax also influences positively and significantly on economic growth with an estimating value of 55.79390 (p=0.2580>0.05) while the value added tax was also discovered to have a noticeable and positive effect on economic growth with reported coefficient estimates 16.04333 (p=0.5949>0.05). Following these discoveries, the study advocated that government should make efficacious the tax system of the country so as to curb practices that hampers the effectiveness of the system to generate the required revenue to cause a change in the growth of the economy and modify the institutional arrangement so as to aid a model for best practices of industries in the country.
The Effects of Training on Real-Time Localization of Headphone-Rendered, Spatially Processed Sounds

Although static localization performance in auditory displays is known to substantially improve as a listener spends more time in the environment, the impact of real-time interactive movement on these tasks is not yet well understood. Accordingly, a training procedure was developed and evaluated to address this question. In a set of experiments, listeners searched for and marked the locations of five virtually spatialized sound sources. The task was performed with and without training. Finally, the listeners performed a second search and mark task to assess the impacts of training. The results indicate that the training procedure maintained or significantly improved localization accuracy. In addition, localization performance did not improve for listeners who did not complete the training procedure.