Reviewerly/exHarmony huggingface dataset:
Adventures in software engineering : plugging HCI & acessibility gaps with open source solutions

There has been a great deal of research undertaken in the field of Human-Computer Interfaces (HCI), input devices, and output modalities in recent years. From touch-based and voice control input mechanisms such as those found on modern smart-devices to the use of touch-free input through video-stream/image analysis (including depth streams and skeletal mapping) and the inclusion of gaze tracking, head tracking, virtual reality and beyond - the availability and variety of these I/O (Input/Output) mechanisms has increased tremendously and progressed both into our living rooms and into our lives in general. With regard to modern desktop computers and videogame consoles, at present many of these technologies are at a relatively immature stage of development - their use often limited to simple adjuncts to the staple input mechanisms of mouse, keyboard, or joystick / joypad inputs. In effect, we have these new input devices - but we're not quite sure how best to use them yet; that is, where their various strengths and weaknesses lie, and how or if they can be used to conveniently and reliably drive or augment applications in our everyday lives. In addition, much of this technology is provided by proprietary hardware and software, providing limited options for customisation or adaptation to better meet the needs of specific users. Therefore, this project investigated the development of open source software solutions to address various aspects of innovative user I/O in a flexible manner. Towards this end, a number of original software applications have been developed which incorporate functionality aimed at enhancing the current state of the art in these areas and making that software freely available for use by any who may find it beneficial.%%%%Doctor of Philosophy
Binary Tree Based Forward Secure Signature Scheme in the Random Oracle Model

In this paper we construct and consider a new group-based digital signature scheme with evolving secret key, which is built using a bilinear map. This map is an asymmetric pairing of Type 3, and although, for the reason of this paper, it is treated in a completely abstract fashion it ought to be viewed as being actually defined over $E(\FF_{q^{n}})[p]\times E(\FF_{q^{nk}})[p]\to \FF_{q^{nk}}[p]$. The crucial element of the scheme is the key updater algorithm. With the adoption of pairings and binary trees where a number of leaves is the same as a number of time periods, we are assured that an updated secret key can not be used to recover any of its predecessors. This, in consequence, means that the scheme is forward-secure. To formally justify this assertion, we conduct analysis in \fucma~security model by reducing the security of the scheme to the computational hardness of solving the Weak $\ell$-th Bilinear Diffie-Hellman Inversion problem type. We define this problem and explain why it can be treated as a source of security for cryptographic schemes. As for the reduction itself, in general case, it could be possible to make only in the random oracle model.
Process of Pan Balang Tamak Text: a Systemic Functional Linguistics Perspective

Pan Balang Tamak text is one of the Balinese narrative texts getting declination in the popularity in the community because of specific reasons. Many people do not know the ideology of the text. After all, the text is not comprehended totally because the text brings metaphor actions released by clauses. Verbs represent actions. Systemic Functional Linguistics serves verbs within clause as a process. The kinds of the process can be identified based on the activity done in the text. This research analyzed the usage of a process in Pan Balang Tamak text. The research aimed to find out the characteristics of the text. The data were taken from a Balinese narrative book Satua-Satua Bali (Supatra, 2014) the method used for the research was qualitative, library research. The technique used for the research was by splitting the clauses employed in all texts. The clauses were split into arguments such as participant, process, and circumstance. The processes became the research concern. The processes were collected based on the types. Participants and circumstances were not analyzed. The theory used to analyze the data was the theory concerned with transitivity proposed by Halliday.
3 Optimization of Fast Factorized Backprojection

Radar images of the open sea taken by airborne synthetic aperture radar (SAR) show typically several smeared ships. Due to their non-linear motions on a rough sea, these ships are smeared beyond recognition, such that their images are useless for classification or identification tasks. The ship imaging algorithm presented in this thesis consists of a fast image reconstruction using the fast factorized backprojection algorithm and an extended autofocus algorithm of large moving ships. This thesis analysis the factorization parameters of the fast factorized backprojection algorithm and describes how to choose them nearoptimally in order to reconstruct SAR images with minimal computational costs and without any loss of quality. Furthermore, this thesis shows how to estimate and compensate for the translation, the rotation and the deformation of a large arbitrarily moving ship in order to reconstruct a sharp image of the ship. The proposed autofocus technique generates images in which the ...
New trends in cross-cultural research and publication activity of scientists: International scientific interdisciplinary conference “Functional aspects of intercultural communication. Translation and interpreting issues”, November 2020

This paper gives a brief summary of the work of the 7 th International Scientific Interdisciplinary Conference on Research and Methodology “Functional Aspects of Intercultural Communication. Translation and Interpreting Issues” held by RUDN University on November 20, 2020. Representatives of different countries took part in the conference: Russia, the UK, the USA, Germany, Belgium, Sweden, Spain, Paraguay, and Tunisia. The conference aims to reveal the diversity of functional aspects of intercultural communication within the process of world education integration, focusing on translation and interpreting issues in today’s society. The theoretical and applied problems raised at the conference are pressing and relevant to the study of modern professional cross-cultural discourse.
Sistim Inforamsi Administrasi Sekolah di Kabupaten Gorontalo

Abstrak School Administration at the depertment of Education and Culture of Gorontalo district, Gorontalo Province has challenges in terms of the file management – the teacher and student files are not in digital forms and require large storage container that is centered on an only single location. The difficulty in checking these files is due to the lacking of direct integration between the schools and the department of education and culture. The optimization of the management of school administration is aimed to facilitate each school to digitally manage the administration and ease the department to receive this report. This research applies the Design Science Research Method ( DSRM) in designing a school administration information system. The final result is analysis and conclusion on the basis of the application of a school administration information system. The result creates an application that is able to optimize the school data management as it integrates school, teacher, and student data along with teacher and student data management in a single location. Digital data storage is the best alternative to manage both teacher and student data in order to be easily accessed when required. Basides, the data can also be sorted based on the name category to help identify data shortages with ease. Keywords : School Administration, DSRM
Lessons from Ithaka S+R on Research Practices in the Disciplines: What Have We Learned? What Should We Do?

It is a byword of the study of academic research that disciplines mean differences. The series of studies underway at Ithaka S+R (with library partners) shows how scholars and scientists understand “Changing Research Practices.” The project’s goal is to guide libraries toward the most fruitful forms of support for research, enhancing the scholarly workflow according to disciplinary routines and innovations. Launched in 2012, nine reports have been published thus far, with others planned or anticipated. The disciplines range from history to public health, from chemistry to Asian Studies. The interview-based studies show how scholars manage their methods, and the opportunities and obstacles they face as the availability of resources in several media expand and research technologies evolve. The Ithaka S+R studies represent a unique collective portrait of scholars at work, loyal to research conventions but encountering new tools for inquiry. The reports help us understand how disciplinary habits shape expectations and experience, and what might be done to serve scholars working at change in research practices, particularly the introduction of new technologies. The reports are seen against the backdrop of views among library leaders and librarians themselves about the evolution of the liaison role, including how it can be fitted to the needs of scholars in an evolving research environment.
Doclass: open-source software to support document labeling and classification

This article introduces Doclass, a free and open-source software for the Web that aims to assist in labeling and classifying large sets of documents. The research involved a design science research methodology, guided by the real demands of a legal text processing company. The architecture, several design decisions and the current development stage of the software are presented. Preliminary user experiments for evaluating interactive document labeling are described. As a result, the first version of a system with an architecture composed of a mobile frontend that communicates with a backend through a REST API was published, with satisfactory performance evaluation by the applicant. Other results involve the use of active learning techniques to reduce human effort when performing the classification of documents, as well as the Uncertainty strategy to choose the document to be labeled. The effectiveness of the stop criterion for the active learning technique based on confidence level was tested and proved unsatisfactory, remaining as a future work.
Students' perspectives in relation to academic counseling in the university: A qualitative study using Content analysis

Introduction: Proper counseling are very important to improve the quality of life and progress in society, especially in educational centers. The present qualitative study was designed and implemented according to the importance of deep students' opinions to improve the counseling process.&#x0D; Methods: This present study was a qualitative study which was conducted using Content analysis. Participants in this study were 30 students who were selected through purposive sampling, with maximum diversity. In this study, data were obtained using semi-structured interviews and were analyzed using Conventional content analysis.&#x0D; Result: From the students' point of view, the challenges facing academic counseling included two main themes, four main categories and seven sub-categories. Main themes included “need to improve the organizational factors related to consulling process” and “need to improve the individual factorsamong faculty members and student” and the main categories included lack of proper information to the student, unavailability of consultant faculty members, to select consultant faculty members without considering a student opinion and to be improper the communication between consultant faculty members and student. Regarding the facilitators of the counseling process, one main theme (strengthening the organizational factors related to consulling process), three main categories and four sub-categories were obtained. The main categories included the separation of the counselor from the faculty members, empowerment of the counselors and student’s freedom to choose a counselor.&#x0D; Conclusion: The results of the present study show that the process of academic counseling in the university faces organizational and individual challenges such as lack of proper information to the student, unavailability of consultant faculty members, to select consultant faculty members without considering the students opinion, and to be improper the communication between consultant faculty members and students. Based on the students' views, it seems that by separation of the counselor from the faculty members, empowerment of the counselors and student’s freedom to choose a counselor, the academic counseling process in the university can be improved.
EPDSAp: Aplikasi Skrining Baby Blues Berbasis Android dengan Uji Sensitivitas dan Spesifisitas

Baby Blues Syndrome is depression that occurs in mothers within a few hours after giving birth, until a few days after delivery, and then it will disappear by itself if given good psychological care. One method to detect postpartum Baby Blues Syndrome is to use the EPDS (Edinburgh postnatal depression scale). However, currently, EPDS can only be done by health workers. Mothers cannot carry out their screening using this method. The purpose of this research is to produce an Android-based EPDS application that will be able to detect the symptoms of baby blues syndrome early after childbirth. Where the detection of the symptoms of baby blues syndrome can be carried out by postpartum mothers themselves quickly and easily, which in turn will reduce the negative impact of this syndrome. This study uses the System Development Life Cycle (SDLC) research method, where the stages of the activity plan are System / Information Engineering and Modeling, Software Requirements Analysis, Systems Analysis and Design, Code Generation, Testing, Implementation, and Maintenance. This EPDS application was built using Android Studio programming which can detect a postpartum mother experiencing the baby blues. This android-based EPDS design has a home screen form design, a questionnaire form design, and a result form design. This application displays results based on a score above 10, so the mother experiences depression or baby blues, while the score between 5 and 9 requires supervision of the mother and re-evaluation using the EPDS application.
Research on the Cultivation Path of College Students' Innovation and Entrepreneurship Psychological Quality From the Perspective of Campus Culture Construction

Objective: To explore the ways and methods of cultivating college Students' quality of entrepreneurship and innovation. Methods: Based on the investigation of nursing students of grade 2017 in Zhengzhou SIAS University, the preliminary questionnaire and interview outline were formulated. 58 nursing students of grade 2018 were pre experimented, and the questionnaire and interview outline were modified and improved. Then intervention research was carried out on 260 nursing students of Zhengzhou SIAS University in 2019. Results: Through the construction of college system and the application of positive psychology, the psychological quality of the subjects in the intervention group was improved better, and the difference was statistically significant (P &lt; 0.05). Conclusion: the influence of campus culture on the cultivation of college students' entrepreneurship and innovation is very obviousand the application of academy system makes the related cultural construction better and more deeply penetrate into students' daily life, learning and practice. The application of positive psychology can effectively improve students' willpower, resilience and other psychological qualities closely related to the practice of entrepreneurship and innovation, and promote students' positive mentality and tenacity Will to participate in related activities.
Systematic Study of Extractive Multi-Document Summarization Techniques

The development of the internet has led to the myriad of information present on any domain available on the internet and the information available on the online world has been growing exponentially from the advent of the internet. Nowadays, people want to extract only the most important information on a specific type of content from documents as promptly as possible. The important and relevant content from multiple documents can be obtained from multiple documents with minimal redundancy through multi-document summarization. Thus, this paper has been focused on providing a detailed study of various approaches to summarize multiple documents with all the important and relevant information. This paper analyses and compares different methods of multidocument summarization with one another and provides a comparative study of various summarization methods using multiple evaluation metrics.
Wordnet Semantic Relations in a Chatbot

The goal of this research is to design and implement a chatbot for querying Wordnet semantic relations. The study creates a contextual chatbot named WordnetBot, a web application that utilizes the use of technologies such as Dialogflow, React, NodeJS, Javascript, and MariaDB. The Wordnet database which leverages all other dictionaries due to its semantic relations representation was used as the data source. Phrase Structure Analysis extracts the keyword and the semantic relation from a user’s message or query. It complements the Machine Learning and AI capabilities of Dialogflow in the analysis. The researcher designed an architectural framework for the integration of the different components of WordnetBot.
Comparative Study of Machine Learning Algorithms for Recommendation System

The role of recommender system is very vital in recent times for a lot of individuals. It helps in taking decisions without exploring physically. Broadly there are two types of recommender system: Content based and Collaborative Filtering. The first one focus on user’s history and takes decisions. But there could be times when decisions based on only user history is not sufficient. For this, there is a need to analyze many parameters influencing the decision such as previous history, Age, gender, location etc. In the second approach it finds similar group of users based on several parameters and then takes decisions. Over the last few decades machine learning algorithms have proved their worth in this area because of their ability to learn from the given data and identify various hidden patterns. With this learning, these algorithms are able to generalize very well for unknown data. In this research work, a survey on three different machine learning based collaborative filtering methods are presented using Movie Lens dataset. The comparison of all three methods based on RMSE and MAE error is also discussed.
Prostitusi dan Narkoba: Studi Etnografi Pariwisata Kelab Malam di Seminyak

This research aims to provide a description of prostitution and drugs in nightclubs in Seminyak. Honesty, thus research not to find out who is right or wrong, precisely to emphasize understanding the tourism phenomenon from a different side. The research paradigm is qualitative with ethnographic methods, field research and qualitative techniques. The results showed that sex workers and drug users in Seminyak were not simple problems. Related to the development of the tourism sector, on the one hand, the pursuit of economic growth and the welfare of the community. But on the other hand, it triggers a lot of intrigue and strategies of actors or agent to remain, survive or get stronger in tourism practices in nightclubs. The field research finding controlled abandonment concept have strength evidence that prostitution and drugs exist but are needed according to the agent's interests. &#x0D; Keywords: drugs, etnography, nigthclubs, prostitution, tourism
Calculation of Fundamental Frequency Amplitude of Transformer Surface Vibration Based on ABC-ELM

Abstract The fundamental frequency amplitude of transformer surface vibration is an important indicator for analyzing and diagnosing transformer faults. This article proposed a model for calculating the fundamental frequency amplitude of transformer surface vibration (ABC-ELM) based on Artificial Bee Colony (ABC) optimized Extreme Learning Machine (ELM). Considering the influence factors of transformer vibration, the ELM model was constructed by using the operating voltage, load current and oil temperature as input vectors, and the fundamental frequency amplitude of the transformer surface vibration as output vectors. The data measured by transformer was used for experiments, and the weights and hidden layer biases of the ELM input layer were optimized using ABC. Experimental results showed that ABC-ELM had higher calculation accuracy and smaller error fluctuations than ELM and BP neural networks, which proves the effectiveness of ABC-ELM model in calculating the fundamental frequency amplitude of transformer surface vibration.
Exploring the Experiences of Designing and Managing Cooking Online Training During The Covid-19 Pandemic

A group of graduate students was assigned to design and conduct training as their group project.Nevertheless, the whole world, including Malaysia was hit by the Covid-19 pandemic.Everyone in the country was under the first phase of the Movement Control Order (MCO).Hence, face-to-face training was not a viable option.Alternatively, the students had to conduct online training.The assignment was the first-time experience for them to design and provide training.A question arose on how well the graduate students' experience was in designing, implementing, and evaluating online training.This article presents a qualitative study on implementing an online training program titled "Learning How to Make Halal Chinese Dumplings Online!" by graduate students in the Training Design and Management course at Universiti Putra Malaysia.This study aimed to explore the design and implementation of the online training program.Data collection was through an online focus group discussion (FGD) involving 11 respondents and a document analysis of a written report by the training implementers.The central theme that emerged from the data analysis is training design for online training.Meanwhile, the sub-themes are as follows: (a) training needs analysis and rationale for online training in making halal Chinese dumplings, (b) training design, (c) training evaluation, and (d) challenges in conducting online training.Methodologically, this study implies the feasibility of successful data collection via online platforms.The findings on the well-designed and implemented online training based on training needs analysis and continuous evaluation suggested that we could still gain access to the ocean of knowledge via formal or informal online learning and education programs at a challenging time of Pandemic Covid-19.
Archer Library: Qualtrics: Accessing Qualtrics and Applying for REB ethics

This guide will help users to use Qualtrics, a web-based survey software. This guide is designed for beginner and advanced users of Qualtrics. Accessing Qualtrics instructions for University of Regina Faculty and Students.