Reviewerly/exHarmony huggingface dataset:
FAMILY SOCIO-ECONOMIC- STATUS AND EMOTIONAL INTELLIGENCE AS PREDICTORS OF ACADEMIC ACHIEVEMENT AMONG PRIMARY SCHOOL PUPILS IN MATHEMATICS

The study investigated family socio Economic status and emotional intelligence as predictors of academic achievement among pupils in mathematics. Based on the purpose of the study three research questions guided the study. Descriptive survey research design was adopted for the study. The population of the study comprised of 1,243 primary six pupils from Alvan primary school in Owerri Municipal Council of Imo State. A sample of 300 primary six pupils was selected using simple random sampling technique. The instruments for data collection are Mangal Emotional Intelligence Inventory, Socio-economic Status Scale and Cumulative Grade Point Average (CGPA)in mathematics. The validity of the instruments was done by five experts, two from Measurement and Evaluation, Educational psychology and two from Mathematics Education. The reliability of the instruments was 0.73 and 0.81 determined using test retest method respectively. Data collected were analyzed using mean and standard deviation for the research questions. Results of the study indicated that Socio economic status together with Emotional intelligence have positive relationship with academic achievement of pupils in mathematics. One recommendation among others was that Parents should always try to encourage their children in all that they do and try to give moral support so that the children can be emotionally stable and have confidence in all that they do, whether at school or at home.
Language Communicative Competence Enhancement Model in Foreign Language

This research paper discusses the issue of meta language communicative competence (MCC) enhancement model. At first the research reviews the problem of meta language communicative competence development generally in science, and represents the literature review. Further shows the meta language communicative competence enhancement model in teaching process with its enhancement. This investigation represents the model of MLCC process with its necessary components, applied to the language teaching. Consideration of model in gas pects requires the MLCC denotion study, within the framework of language methodology science.This research is of significant value, a contribution to the language teaching policy not only in Kazakhstan but abroad well. It demonstrates that MCC development process helps to improve the teaching process and make the system work properly. In recent years, in line with the communicative and especially the competence approach in the domestic and foreign science actively developed the problem of enhancement of meta communicative competence MLCC as a mandatory competency component of professional development of a modern specialist in different branches of science: philosophy, sociology, psychology, pedagogy, cultural studies, economics, ethics. Such a multifaceted study of the phenomenon of MLCC is determined by the dynamics of social life, to find the real needs of today's ideological orientation, the necessity of its formation in the learning process. In the present time, a considerable fund is accumulated that allows you to explore the topic of the research: issues of implementation of meta language communicative competence enhancement model. Necessity of this research, it follows from the above, is conditioned by the urgent need to train specialists in MLCC in a foreign language in the framework of activities, well its theoretical and practical underdevelopment.
Sum-Product Network in the context of missing data

In recent years, the interest in new Deep Learning methods has increased considerably due to their robustness and applications in many fields. However, the lack of interpretability of these models ...
LibGuides: Education Resource Guide: Home

A guide from Funderburg Library on how to use library resources to do research for your education classes.
GSU Library Research Guides: ProCon Ebooks -- Handout Guide: Technology

This is the new home of eight, pages of links to ebooks to provide background for argument and ProCon paprs. This is the ProCon page for technology, pollution, global warming, and computers
LibGuides: K12 Digital Citizenship: Population-Specific Resources

This guide provides resources to help K-12 students be proactive digital citizens. Resources for K-12 special needs and international K-12
Changing clothing on people images using generative adversarial networks

Generative Adversarial Networks (GANs) in recent years has certainly become one of the biggest trends in the computer vision domain. GANs are used for generating face images and computer game scenes, transferring artwork style, visualizing designs, creating super-resolution images, translating text to images, etc. We want to present a model to solve an image problem: generate new outﬁts onto people images. This task seems to be extremely important for ofﬂine/online trade and fashion industry. Changing clothing on people images isn’t a trivial task. The generated part of the image should have high quality without blurring. Another problem is generating long sleeves on the images with T-shirts, for example. As a result, well-known models are not suitable for this task. In the master project, we are going to reproduce the model for clothing changing on people images based on the existing approaches and improve it in order to get better quality of the image
Shadows in 3D platformer games : A comparative analysis of shadowmaps and blob shadows

The challenges found in three-dimensional platformer games heavily rely on the player’s ability to perceive depth and it is therefore crucial for them to feature shadows as they are an important de ...
LibGuides: Teaching & Learning: For Instructors

Overview of services provided by the Teaching & Learning department with recommended resources and more.
Multi-band imaging of seismic source rupture process

&amp;lt;p&amp;gt;The standard method to image the source rupture process of a large earthquake is finite fault inversion, which uses the low-frequency signal to invert the slip distribution of the fault. However, in different stages of the source rupture process of a large earthquake, the seismic waves radiated by the source have different dominant frequencies, such as high frequency seismic waves excited by the rupture front. If we can analyze seismic waves in different frequency bands, it is expected to obtain a more detailed source rupture process of large earthquakes. Therefore, we respectively adopted the high frequency signal back-projection imaging method and the low frequency signal finite fault inversion method, and took the 2016 Kaikoura &amp;lt;em&amp;gt;M&amp;lt;/em&amp;gt;&amp;lt;sub&amp;gt;W&amp;lt;/sub&amp;gt;7.8 earthquake as an example to obtain the history of rupture propagation and fault slip distribution.The calculated results show that the high-frequency energy radiation of the earthquake can be divided into three stages, and the low-frequency energy radiation can be divided into two stages. The energy release process in different frequency bands is complementary in time and space. The rupture process of the whole source can be explained by the asperity model and the barrier model.&amp;lt;/p&amp;gt;
The nascent primary market of Security Token Offerings

The years 2017 and 2018 saw an influx of ventures raising substantial amounts of money through initial coin offerings (ICOs). The Ethereum blockchain greatly facilitated the spectacular surge of ICOs, even though utility tokens and cryptocurrencies are not primarily meant for raising external capital for start-up firms. Now that the ICO market bubble ebbed away security token offerings (STOs) have emerged, allowing investment in regulated securities recorded on a blockchain. Blockchain Capital paved the way with its crowd sale of equity tokens on a blockchain in April 2017. In August 2018, tZERO successfully completed the largest STO thus far, raising USD 134 million. More recently, in April 2019, Societe Generale SFH issued and settled covered bonds worth over USD 100 million as a security token. While the literature has succeeded in providing many insights about the gains and losses in both ICO and cryptocurrency markets, much less is known about this nascent STO market.
Enhancing Economic Growth Impact of Financial Development and Human Capital through Capital Flows in Sub-Saharan Africa

This paper investigated the role of capital flows in shaping the relationship among financial development, human capital and economic growth in selected sub-Saharan African (SSA) countries. This study examined two different forms of capital flows; portfolio equity and foreign direct investment, and their influences on the linkages of financial development, human capital, and growth. We deployed data on eleven SSA countries covering the period between 1999 and 2014 using difference generalized method of moments. Human capital has a direct positive impact on growth only when measured in terms of its efficiency, irrespective of the measures of financial development and capital flows. We obtained mixed results on introducing capital flows irrespective of the choice of financial development and human capital measures; positive and negative impacts almost equally dominated the results albeit largely statistically insignificant and negligible coefficients. Overall, capital flows, especially, foreign direct investment dampens growth through the financial development and human capital.
Eye tracking measurement with headrest in reading aloud study

Eye tracking is a technology used to track and record what the human eye perceives. It has been applied in detecting visual field loss, determining infant’s preferential looking and virtual reality therapy. In reading tasks, eye tracking needs to be accurate because even a substantial head movement can affect its fixation accuracy; as such, using a headrest can minimise head movements and the associated fixation errors. This experimental study was conducted to determine the effect of headrest usage on eye tracker fixation accuracy during reading aloud activity by comparing a group with headrest and a group without it. The results showed that the difference between the two groups was significant (p=0.004), where the headrest group and non-headrest group introduced a mean fixation error of 30.728 ± 15 mm and 17.671 ± 9 mm respectively. Eye tracking accuracy for the headrest group was then compared with a standard value of 0.6 degrees. The findings showed that the accuracy was significantly different (p<0.001) from the standard value, with a mean of 3.513 ± 1.700 degrees. In conclusion, headrest usage does not increase eye tracking accuracy in reading aloud activity.
Non-immersive media: collaborating in an ‘immertical’ Virtual world

The authors will report on their deployment of Brechtian and other performance-based methodologies which stimulate debate about the materiality of virtuality, remediating the virtual into a non-immersive space, at odds with pervasive rhetoric about immersivity and empathy. The paper will draw on performance-based student projects as well as approaches that the authors have developed to ‘encourage an attitude of critical distance’ towards virtuality, such as their work with the Phi Books project (2011- ) and the Riverine Archive (2019).The hyperbole which has surrounded Virtual immersive mediation since Mark Zuckerberg bought Oculus in 2014 for 2.3 billion dollars, has been supported by a media which seem largely incapable of critical distance, often making claims for the pro-sociality of VR technology and content which reflect advertising claims, but with little supporting evidence. Brecht, famously critiqued empathy & immersion, as pandering to a bourgeois individualism. Empathy and immersivity are not obviously conducive to systemic change, least of all when addressing social injustice. At the same, time Antonopoulou has discussed the importance of role-play, fiction and the embodied tacit knowledge of performance as a conductive medium of criticality that leads to change. For Antonopoulou (2016, 2018) the body to body temporal materialities of role-play and the transference to the world of fiction offer critical distance that is useful for theorising on virtual, immersive experiences.Throughout the pandemic the authors continued their collaboration, deploying immersion in playfulness and writing but also breaking the presence generated by that play. What happens in that moment of breaking, of creating meta narratives and analysis - how can it be framed – as a critical or immertical space a form of meta immersion, and what is the difference between creative ‘flow’ and immersion? How do we then frame the technological interruptions that happen during a technologically mediated collaboration? What is the implication of the following factors when we collaborate on platforms such as Zoom, Teams, Google Hang ups:•Scenography •World-building•Dramaturgy•Grammar•Recording and post-productionThe authors will discuss their responses to these questions.
Sample-Efficient Model-Free Reinforcement Learning with Off-Policy Critics.

Value-based reinforcement-learning algorithms provide state-of-the-art results in model-free discrete-action settings, and tend to outperform actor-critic algorithms. We argue that actor-critic algorithms are limited by their need for an on-policy critic. We propose Bootstrapped Dual Policy Iteration (BDPI), a novel model-free reinforcement-learning algorithm for continuous states and discrete actions, with an actor and several off-policy critics. Off-policy critics are compatible with experience replay, ensuring high sample-efficiency, without the need for off-policy corrections. The actor, by slowly imitating the average greedy policy of the critics, leads to high-quality and state-specific exploration, which we compare to Thompson sampling. Because the actor and critics are fully decoupled, BDPI is remarkably stable, and unusually robust to its hyper-parameters. BDPI is significantly more sample-efficient than Bootstrapped DQN, PPO, and ACKTR, on discrete, continuous and pixel-based tasks. Source code: https://github.com/vub-ai-lab/bdpi. Appendix: https://arxiv.org/abs/1903.04193.
Breaking and fixing the Zero-knowledge password policy checks protocol by Kiefer and Manulis

Zero-knowledge password policy checks (ZKPPC) were introduced in Kiefer and Manulis’ report from 2014. The protocol aimed to solve the longstanding issue with servers requiring clients to provide t ...
Survey Paper on Spam Detection Using Support Machine Vector (SVM)

Social network sites involve billions of users around the world wide. User interactions with these social sites, like twitter have tremendous and occasionally undesirable impact implications for daily life. The major social networking sites have become a target platform for spammers to disperse a large amount of irrelevant and harmful information. Twitter, it has become one of the most extravagant platforms of all time and, most popular microblogging services which is generally used to share unreasonable amount of spam. Fake users send unwanted tweets to users to promote services or websites that do not only affect legitimate users, but also interrupt resource consumption. Furthermore, the possibility of expanding invalid information to users through false identities has increased, resulting in malicious content. Recently, the detection of spammers and the identification of fake users and fake tweets on Twitter has become an important area of research in online social networks (OSN). In this Paper, proposed the techniques used to detect spammers on Twitter. In addition, taxonomy of Twitter spam detection approaches is presented which classifies techniques based on their ability to detect false content, URL-based, spam on trending issues. Twelve to Nineteen different features, including six recently defined functions and two redefined functions, identified to learn two machine supervised learning classifiers, in a real time data set that distinguish users and spammers.
LibGuides: Interlibrary Loan: Submitting and Retrieving Requests

Interlibrary Loan (ILL) Office borrows materials from and lends materials to other libraries in the United States and many other countries. Downloading Materials Online
Vulnerability Assessment of Authentication Methods in a Large-Scale Computer System

Vulnerabilities exist in almost all software programs. Some software is more vulnerable than others. A method that can be used to mitigate the vulnerabilities is penetration testing. In this thesis ...
EXPLORING MULTIDIMENSIONAL CONSTRUCTS OF TRUST IN PROCUREMENT PRACTICES: AN EVIDENCE FROM MALAYSIA

During the last two decades, the study of procurement practices impacts on business performance has generated interest among many researchers. Yet very little literature deals specifically with how company success is affected by the procurement activities of companies. In fact, most of the papers reviewed on procurement activities are qualitative rather than empirical in nature. As a result, several businesses are starting to pursue further aspects of business-performing procurement activities. Against this backdrop, this work aims to fill this vacuum by performing empirical case studies at 28 companies operating in the worst ever chaotic climate in the world. The results of this research study attempt to determine the interconnection between the procurement practices of companies and business performance related to the seven trust attributes (commitment; openness; integrity, proximity, competence; reliability and security).
Researching music streaming by using liquid sources

Music streaming has colonised the market of recorded music. Recordings of music are transformed from traditional physical artefacts into numerous digital formats, which consequently implies differe ...
Semiosis as Eigenform and Observation as Recursive Interpretation

Context: Recent decades have seen the development of new branches of semiotics, including biosemiotics, cognitive semiotics, and cybersemiotics. An important feature of these concepts is the …
LibGuides: Business Resources: Finding Statistics

This guide presents business and related resources at the James E. Shepard Memorial Library at North Carolina Central University. Keep in mind that some of the greatest resources are people and the Shepard Library staff are available to assist you.
Automated 3D Facial Landmarking

The focus of this dissertation is the creation and application of software for the automatic landmarking of large sets of digital 3D facial models that can label the 3D locations of points of interest (i.e. landmarks) for clinical and genetic-forensic research purposes.
LibGuides: Biases in Research and Beyond: Literacy Reference Guide: Home

Resources gathered by the Faculty Research Council on identifying and combating bias in academia and academic research.
Estimation of defocus blur radius using convolutional neural network

Image blurring causes loss of information and restoring the degraded image requires knowledge about the original image and the blur kernel, which is usually unknown. However, if information about the blur kernel is available, the image can be deblurred. Degradation due to defocus blur is considered in this paper. To estimate the blur kernel and facilitate in the process of restoration, determination of amount of defocus radius is essential. Here, a convolutional neural network architecture is proposed to determine the defocus blur radius. The Fourier spectrum of defocus blurred images is fed as an input to the network for extraction of the features and classification of the defocus radius. The network is trained, validated and tested using images from standard datasets like USC-SIPI, Berkeley Segmentation dataset and Pascal VOC 2007. The experimental results show competitive results as compared to existing defocus radius estimation methods.
Padronização da terminologia arquivística: o diagnóstico de arquivo em foco

The fact that archival practice occurred prior to the formal institution of undergraduate courses in the country, contributed to the development of an empirical practice, which imposes a challenge for Brazilian contemporary archivology: the consolidation of theories, methodologies, and terminologies. In view of this scenario, it is evident as a problem of this research: what contributions to the identification of terms used for data collection can bring to Archivology and archivists? To identify the terms that are being applied for the collection of data and information in the records is the general objective guiding this research. The research is characterized as qualitative and quantitative, since it intends to investigate the scientific production about collection of data and information from records, as well as to understand the type of research developed in these papers. The type of research is descriptive and exploratory, and, for that, we used the bibliographic survey applied to the literature in the area. The main result is the identification of six terms applied in scientific papers that address the activity of records survey. In this perspective, it represents a difficult to carry out research on this theme. The discussion and reflection constructed in this research provide for the expansion of the records survey in archives, as well as contributing to the need for standardization of terms in the field of Archival Science.
Concerto for Solo Piano in Eighteen Parts

Author(s): Knowles, Matthew Lee | Abstract: This music score was submitted for the Kaleidoscope 2020 Call for Scores, an open access collaboration with the UCLA Music Library.
Achieving Data Truthfulness And Privacy Preservation In Data Markets

As a significant business paradigm, many online information platforms have emerged to satisfy society’s needs for person-specific data, where a service provider collects raw data from data contributors, and then offers value-added data services to data consumers. However, in the data trading layer, the data consumers face a pressing problem, i.e., how to verify whether the service provider has truthfully collected and processed data? Furthermore, the data contributors are usually unwilling to reveal their sensitive personal data and real identities to the data consumers. In this paper, we propose TPDM, which efficiently integrates Truthfulness and Privacy preservation in Data Markets. TPDM is structured internally in an Encrypt-then-Sign fashion, using partially homomorphic encryption and identity-based signature. It simultaneously facilitates batch verification, data processing, and outcome verification, while maintaining identity preservation and data confidentiality. We also instantiate TPDM with a profile matching service and a data distribution service, and extensively evaluate their performances on Yahoo! Music ratings dataset and 2009 RECS dataset, respectively. Our analysis and evaluation results reveal that TPDM achieves several desirable properties, while incurring low computation and communication overheads when supporting large-scale data markets.
LibGuides: Open Educational Resources: Find

Designed to be useful and relevant, this guide will provide you with access to a range of key freely available scholarly and academic resources to aid your studies/research in various disciplines Where to find open resources