Reviewerly/exHarmony huggingface dataset:
Solid Waste Management Awareness and Practices of Saint Michael College of Caraga

Solid Waste Management is the discipline associated with control of generations, storage, collection, transport, or transfer, processing, and disposal of solid waste materials in a way that best addresses the range of public health, conservation, economics, aesthetics, engineering, and other environmental considerations (Rick Leblanc, 2018). The researchers sought to answer the level of awareness and practices of students, teachers, and administrators. The study used a descriptive correlation research design. Based on the result, the researchers found that the awareness and practices towards Solid Waste Management as perceived by the students, teachers, and administrators have significantly not differed. Teachers and School Administrators had no significant differences, and only the students had a difference in their SWM Practices. According to the study findings, both academics, instructors, and administrators have a lack of understanding about solid waste management. The researchers highly recommended that all the respondents should have undergone a seminar that talks about the Solid Waste Management policies, discipline, proper disposal, and segregation of waste, and even the three r's (Reuse, Reduce, and Recycle).
Enabling Fair-Access in Traffic Sharing Using Adaptive Equalization Algorithms

The situation of the internet nowadays is having difficulties when it comes to the reliability of the internet. One of the major problems with internet connectivity is the internet traffic which causes the internet to bug down or slow down the connection. The primary objective of this study was to provide a balance of internet bandwidth usage in accessing any internet services equally other than per priority permission in the school. The proponents conclude that Adaptive Equalization Algorithms can really equalize the internet bandwidth of every user that is connected to the internet. Equalization of the internet helps a lot to the users for the reason that they have equal bandwidth of internet so in this case, it can lessen the user's internet traffic and also it can result to decreasing population of what we called “starvation effect” or hungry of internet connection. It was recommended that a physical server should a three-tier machine for the fast response time of the system, and also the back-up system should have external to avoid or prevent an accident for the loss of data and also to secure the important data's. The researchers recommend for the administration that the network monitoring should be a manufactured device.
Forensic Facial Sketch Verification Using Image Processing Algorithms

Forensic facial sketch verification using image processing is a tool for criminal investigators to narrow down or pinpoint possible suspects. The purpose of this paper was to propose a new notification system using face recognition to notify the parents or guardians to keep them updated on their students by sending a message containing the name, date, and time. Face recognition is an accurate technology for managing the entrance and exit of the students. To avoid the prohibited activities of the student, such as cutting classes, being home late, etc. The researchers used the OpenCV library of programming functions, namely aimed at real-time computer vision. MySQL is database management to manage upcoming and outgoing data. Sublime Text is a shareware cross-platform source code editor with a Python application programming interface. Xampp is a special tool and provides to protect the most important parts of the package. Twilio allows software developers to make and receive text messages programmatically. Python is a powerful general-purpose programming language. This system is beneficial for the parents, students, and especially the school. This system enhances the technology gates for more benefits and security of the school. The researchers conclude that this system is an essential tool to criminal investigators, which aspires to cater to the criminal investigators' notable benefit upon obtaining the suspect's sketch from the artist and eyewitness. It was recommended to upgrade the necessary frameworks and append another image processing algorithm to increase the system's accuracy.
Implementation of Frequent Pattern (FP)-Growth Algorithm for Comparative Analysis on Teacher's Performance Evaluation Results

The performance of teachers in a class has been the center of attention for the most educational sector. The primary purpose of this project was to design, develop and implement a system for comparative analysis on teacher's performance evaluation results for Saint Michael College of Caraga. The algorithm should be applied for the accurate generation and comparison of results on the existing performance evaluation system. Based on the development phase, the system was able to achieve its objective. The administrator created add user that allowed them to log in. The users are allowed to view evaluation results from certain school year and semester. It also allows users to compare results from the past academic year to the present and generate printed reports. The user can modify his/her account and set school year dates of evaluation. It was recommended that the instructor, program head, department dean, and the head of the Human Resource Development Office of the Saint Michael College of Caraga, are encouraged to implement and utilize the system. In addition, before the system should be put into full operation, training for the users should be conducted. Moreover, the system needs statistical features and a high-end support framework for data analysis to guarantee the correctness of data and rationality of evaluation results.
From Explainable AI to Explainable Simulation: Using Machine Learning and XAI to understand System Robustness

Evaluating robustness is an important goal in simulation-based analysis. Robustness is achieved when the controllable factors of a system are adjusted in such a way that any possible variance in uncontrollable factors (noise) has minimal impact on the variance of the desired output. The optimization of system robustness using simulation is a dedicated and well-established research direction. However, once a simulation model is available, there is a lot of potential to learn more about the inherent relationships in the system, especially regarding its robustness. Data farming offers the possibility to explore large design spaces using smart experiment design, high performance computing, automated analysis, and interactive visualization. Sophisticated machine learning methods excel at recognizing and modelling the relation between large amounts of simulation input and output data. However, investigating and analyzing this modelled relationship can be very difficult, since most modern machine learning methods like neural networks or random forests are opaque black boxes. Explainable Artificial Intelligence (XAI) can help to peak into this black box, helping us to explore and learn about relations between simulation input and output. In this paper, we introduce a concept for using Data Farming, machine learning and XAI to investigate and understand system robustness of a given simulation model.
Be positive

This chapter proposes a novel method that deploys non-negative matrix factorization to extract topic models from texts. This topic modeling process reveals how terms and DocuScope Language Action Type Analysis (LATs) align, providing robust information on what texts are about and how they are organized rhetorically. Moreover, the non-negative nature of the topics means that each derived topic can be viewed as a sum of topical features, which can greatly ease the interpretive process. To elucidate and benchmark this method, I apply it to a well-known 20 Newsgroups dataset and sample the results.
From technical reporter to personal guide

Plain language summaries increasingly serve as a strategy to make scientific research accessible to wide audiences. However, authors often know little about plain language audiences or their goals, so the rhetorical situation of this emerging genre remains unstable and guidance for authors remains fraught. To better understand these summaries, this chapter uses a DocuScope analysis coupled with close reading to compare a corpus of 150 AGU/Wiley Earth and Space journal abstracts with their plain language counterparts. The study yields six areas of significant difference, including less detailed information and more metadiscourse, first-person references, and language of inquiry. These differences collectively reveal the way authors rhetorically shift from the role of technical reporter to personal guide to readers. The chapter concludes with two recommendations for crafting and conceptualizing plain language summaries.
Narrative writing from users-in-the-wild

In this chapter, we discuss the use of DocuScope as a computational tool for measuring ‘distances’ between corpora representing different contexts of writing with partially overlapping goals. In prior work (Beigman Klebanov et al., 2019) we found that there is a quantifiable sense in which argumentative essays written as part of higher ed coursework, argument essays written for a high-stakes examination, and New York Times OpEds belong to the same genre, as realized through a distribution of DocuScope categories, even though the specifics of each context are different. We extend this work in two ways: (a) we focus on narrative writing, and (b) we explore DocuScope as a basis for feedback to the writer about the extent to which a draft shows a distribution of rhetorical categories that is “close” to what one would expect for the target genre. In particular, we consider essays submitted through an online writing assistant tool Writing Mentor that are marked as narratives by their authors – a designation that we attempt to verify using DocuScope.
Proof of the truth of hypothetical means and conditions in pedagogic research

The article deals with the problem of proving hypothetical means and the conditions for their use in pedagogic research. The problem is that a large number of authors use the ‟black box” model as an experimental model. They influence students with a complex of pedagogic means and measure the final result as an integral indicator of impact. However, a full-fledged experiment is often missing in pedagogic research. Neither control groups nor randomisation of subjects are used. Also, the systematic nature of the processes under study does not allow assessing the influence and significance of individual factors of the pedagogic environment. All those disadvantages call into question the results of the study. The proposed way out of this problem is the use of various experimental models and mathematical-statistical methods of analysis and research planning. It is proposed to use dispersion, correlation, factor and regression analysis. These methods make it possible to evaluate each variable parameter of the independent variable, as well as the external conditions for the organisation of the pedagogic process in terms of their significance and the magnitude of the influence on the dependent variable. Thus, using mathematical and statistical methods, it is possible to increase the internal and external validity of the study even in the absence of a true model of the experiment.
Problems of fate and free will in Hauptmann's “Iphigenia in Delphi” drama

The article is devoted to the problem of Gerhart Johann Robert Hauptmann’s interpretation of his own views concerning the problem of fate and freewill, which sheds light on the general problem of modern, connected with the eternal process of creative personality, formation. The objectives of the work correspond to this: to substantiate the leading role of anthropological patterns in the Art Nouveau era, to reveal the dynamics of G.Hauptmann’s formation on the basis of commenting his theoretical and artistic works, to reflect in this respect the overcoming of fate and gaining freedom by the heroine of the late drama “Iphigenia in Delphi”. In the course of the analysis, it was revealed that in his later work, G.Hauptmann retains the same views on the fatal predetermination deprived of real being, and he switches to the sphere of feelings. In this case, special attention is paid to the author’s revision of the romantic concept, in which the idea of immortality, transcend the borders of the visible world, became the main one for the said writer. It is from these positions that Iphigenia’s image is revealed. Seeking self-understanding and identity, she renounces the Olympian world, in which sacrifice and fear of gods is the norm, and she voluntarily returns to Hecate’s Palace, as it is in them that a new immortal existence takes place. The conclusion is made about the birth of a new personality through the conception of one’s own existence, the rejection of dogmatic conceptions from the power of the doom makes the individual free, strong and unbroken by anything or anybody.
Technological readiness of teachers: a foreign literature review

In this article, the concept of "technological readiness of teachers" is considered in the context of research by our foreign colleagues. As a result of the theoretical analysis of the review of English-language publications of recent years, it becomes obvious that the successful implementation of technologies depends not so much on software as on the skills and beliefs of teachers. In addition, it was revealed that the technological readiness of teachers depends on such factors as the readiness of the teacher and the readiness of the school to assist the teacher, the experience of pedagogue with information and communication technologies, technical support of the teacher in the workplace, the availability of specialist teachers in information and communication technologies (digital curators), access to information resources, optimism and the innovativeness of teachers, as well as the opportunity to present their educational and methodological developments with the help of information and communication technologies, etc.). The studied interrelations allow outlining the prospect of further research on the technological readiness of Russian teachers and outlining a number of important tasks in improving the implementation of information and communication technologies in the learning process in the Russian secondary school.
Value-rich educational environment as a condition for the formation of an information culture of a person

The article is devoted to the problem of forming the value foundations of the information culture of students of the organisation of secondary vocational education. The information and educational environment is considered as a condition for the formation of the value foundations of the information culture of the individual. The paper presents a theoretical analysis of research on the formation of the value foundations of the information culture of the individual, as well as the creation of a value-rich information and educational environment. The analysis of the earlier studies of environmental issues allowed us to identify the components of a value-rich information and educational environment. The article describes the experimental work on the creation of an environment in an educational organisation of secondary vocational education that ensures the formation of the value foundations of the information culture of the individual. The paper describes the authors’ diagnostic tools for assessing the influence of the educational environment of the organisation of secondary vocational education in the process of forming the information culture of students. Correlation analysis demonstrates that the saturation of the environment with the value foundations of information culture has a significant impact on the activities of the subjects of the educational process and, in general, on the formation of the value foundations of students' information culture.
Studying the relationship of reliability and success in the educational and professional activities of college students

The work is devoted to the analysis of the features of reliability and effectiveness of educational and professional activities of college students, their interrelations, identified on the basis of empirical methods and mathematical and statistical analysis. Reliability as a parameter of activity efficiency is defined by the author as an important integral characteristic of the subject. The author of the article points out the importance of the formation and development of this characteristic in the subject at the stage of mastering the future profession – during college. The typologisation of students according to the criteria – efficiency and stability in the conditions of the educational environment of the college – is proposed. On the basis of this typologisation, correlation relationships are presented and described, which allow identifying the specifics of the manifestation of reliability as a parameter of the effectiveness of educational and professional activities for 4 samples of students differentially. The article describes the results of correlation analysis between reliability and procedural, effective parameters of educational and professional activity of college students. To assess the effectiveness of the educational and professional activities of college students, taking into account the selected criteria, the method of expert assessments was carried out during the study. The presented results are characterised by practical significance, since they allow organising psychological support programmes for college students at the initial stages of their professionalisation.
NLP Techniques and Challenges to Process Social Media Data

Social media, a buzz term in the modern world, refers to various online platforms like social networks, forums, blogs and blog comments, microblogs, wikis, media sharing platforms, social bookmarks through which communication between individuals, communities, or groups takes place. People over social media do not only share their ideas and opinions, but it has become an important source through which businesses promote their products. Analyzing huge data generated over social media is useful in various tasks like analyzing customer trends, forecast sales, understanding opinions of people on different hot topics, views of customers about services/products, and many more. Different natural language processing (NLP) techniques are used for crawling and processing social media data to get useful insights out of this. In this chapter, the focus is on various NLP techniques used to process the social media data. Challenges faced by NLP techniques to process social media data are also put forward in this chapter.
A Comprehensive Study to Detect Social Spam Campaigns

Social media is a widespread source of diverse forms of data. Information is diffusing so fast that any fascinating news is so rapidly spread through social media that it can be accessed by millions of users in seconds. Spammers are also part of these networks. Conventional spam detection approaches focus either on an individual message or individual account to classify them as spam or legitimate. However, these spam or spammers might be part of a group or controlled by some other accounts for a specific purpose called a campaign. Spam campaigns have become a great threat to social network services. They are more adversarial than individual spam accounts as they target many users on the network. Spam campaigns follow a stealthier approach than spammers to prevent themselves from detection. So, this study highlights various spam campaigns so far detected in the literature, their detection techniques, and the features used to build campaigns. It also highlights various issues and challenges that need to be picked up while detecting spammers.
Emotion Recognition From Text Using Multi-Head Attention-Based Bidirectional Long Short-Term Memory Architecture Using Multi-Level Classification

Recognition of emotional information is essential in any form of communication. Growing HCI (human-computer interaction) in recent times indicates the importance of understanding of emotions expressed and becomes crucial for improving the system or the interaction itself. In this research work, textual data for emotion recognition is used. The proposal is made for a neural architecture to resolve not less than eight emotions from textual data sources derived from multiple datasets using google pre-trained word2vec word embeddings and a multi-head attention-based bidirectional LSTM model with a one-vs-all multi-level classification. The emotions targeted in this research are anger, disgust, fear, guilt, joy, sadness, shame, and surprise. Textual data from multiple datasets are ingested such as ISEAR, Go Emotions, and Affect dataset. The results show a significant improvement with the modeling architecture with good improvement in recognizing some emotions.
Metaverse

Metaverse is the future of internet and an amalgamation of VR, AR, blockchain technology, AI, and 5G, and beyond. Metaverse can be seen as a self-sustaining system with its economy, structure, and trade of virtual items. Currently, there is no common platform for this in a decentralized manner. Thus, there is a need for an interdependent architecture that can provide interaction amongst layers. This chapter focuses on a seven-layered architecture that is simple to comprehend theoretically but cannot represent the true essence of all aspects of Metaverse. Hence, a novel interdependent architecture that includes physical and virtual world interaction is proposed in this chapter. Next, some potential applications and services of Metaverse are discussed. Later, two case studies, that of a virtual city and a virtual university campus using Metaverse, were analyzed based on the proposed architecture. Finally, the chapter is concluded with the open issues and challenges faced while dealing with Metaverse.
The economic effects of financial development

This chapter is devoted to an examination of the effect of financial development on economic growth, financial stability, poverty and income distribution (hence inequality). If financial development has any effect on these indicators, then there must be some sort of a channel or channels whereby the effect is transmitted from financial development to the economy. These channels can be identified by examining the functions of finance or the services rendered by the financial sector to the rest of the economy. This is why the starting point is to identify and evaluate the functions of finance. Notwithstanding the critical role played by finance in the economy, the functions of finance are typically exaggerated in the mainstream literature and the popular media.
Remunerating authors and performers: Are statutory fair compensation provisions sufficient?

Digitization has created both challenges and new opportunities for content markets and their players. With digitization content providers - at all stages of the supply chain - have had broad, diverse opportunities to simplify the creative processes and to distribute the material cheap, fast and to everywhere with internet access. A key challenge is the potential for piracy, which is significantly more pronounced with digital technology. In this chapter, however, it will be revealed that the legal content market in the digital era is also suffering from an imbalance, and probably to such a degree that it is not sustainable. Authors and performers are continuously getting paid less for providing for a greater digital consumption by the end users. In this chapter the imbalance will be documented by presenting an empirical study of the Norwegian music sector in 2019.