Reviewerly/exHarmony huggingface dataset:
Significance of soft skills in educational process during the pandemic caused by the coronavirus COVID-19

Today, an increasing number of jobs require pronounced and developed soft skills, and some kind of digital skills. The coronavirus pandemic COVID-19, only accelerated inevitably, and all stakeholders in the business world had to keep up with many of todayâ€™s available technologies and platforms. Although work from home is already known to many companies, in schools and faculties a such way of working is not common, and contact teaching is preferred. The teaching staff are faced with numerous challenges in the new situation, and a new way of knowledge transferring. Based on this fact, in addition to the training of teaching staff, it is necessary to adequately train and prepare students for such a form of teaching, in order to ensure the current level of quality of teaching. Students should be prepared in the best possible way for the challenges that await them in the business world, provide them a quality education in order to easily adapt to the needs of the new digital era required by the labour market. In the knowledge transfer today, except hard and digital skills, soft skills also play a significant role. It is extremely important to raise awareness on this topic, because teamwork, creativity, togetherness and empathy have never been more important and necessary. It is extremely important to show collegiality among employees but also in relation to students and thus also contributing to reduce stress in the teaching pro-cess, especially during the pandemic. Taking all the above into account, through a questionnaire which was conducted at the undergraduate professional study of mechanical engineering, it was tried to gain insight into the importance of soft skills from the studentsâ€™ perspective. Young educated people are the future of every country, and constant investment in their development and progress is needed.
Speeded Up Robust Features Registration based Efficient Multi Row Panorama Generation

Most of the current panorama generation tools need an input to be provided along a single axis, which means that only a small portion of the scene is recorded. To achieve a wide area of viewers, this paper suggests a multi-row panoramic technique (multi-panorama method). A pan/tilt camera allows the automatic or manual scanning to occur over large horizontal and vertical perspectives. Frame pictures in horizontal and vertical perspectives to adjust to their coordinates and projections will need separate projection marks. And the picture should be continually updated over long time periods but it should also coordinate with other pictures in the spatial region, so as to provide an almost seamless appearance. Before these challenges, the first and before those, the worse, the game creates an optimum scanning route that encompasses the majority of the display and utilizes the reference frame as a starting point to stitch all the remainder. Multi-row stitching has a method of ensuring a minor alignment fault is located in the first column, followed by a small miss in the second row. It should be noted that mrpg suggests a multi-point stitch to reduce seams and compensate for distortion, and so that the existing structure is not divided around the panoramic canvas in an inaccurate manner. A new panoramic image synthesis approach was introduced that produced results that indicate panoramic images are higher quality than other current state- of-ofthe- the-the-art approaches, and- of pan or-the-art image techniques. Because of this, we used the surf feature instead of the sift algorithm, we got to results much more quickly and, we were able to achieve the targeted precision much faster.
Penguatan Metode Pembelajaran Menggunakan Aplikasi Edmodo di MTs Al-Mubarok Dusun Suling Desa Bagon Kecamatan Puger

Strengthening learning methods through Edmodo, in this activity the first thing offered in the PKM (Community Partnership Program) activity is a program of utilizing information and communication technology in online learning. Online learning used in PKM uses the Edmodo application. Learning using Edmodo makes it easier for teachers and students to interact for the purpose of exchanging information and skills that the teacher possesses. Edmodo is a safe learning platform for teachers, students and schools based on social media. Edmodo provides a safe and easy way for the class to connect and collaborate, share content and access work, grades and school notifications. Our goal is to help educators and teachers harness the power of social media to tailor classrooms for each student. The second is to offer a training program and mentoring in email creation and the operationalization of Edmodo applications that are related to knowledge and skills of educators and students in online learning enviroments. The output of this program include (1) the use of appropriate information technology, namely ,by using the edmodo application, (2) skills in online learning, and (3) making online learning fun and engaging .
Survey on the Importance of English and Problems faced by Researchers and Faculties in Academic Writing

To share or convey thoughts or ideas to others communication plays a major role in that English is the common language spoken all over the worldBalla, E. (2016). Learning English in the modern world is more importance with fluency. As a researcher need to publish paper in a reputed journal with a good impact factor. With a good English skill any researcher can write their paper in an efficient way
Facilitatorens gestik: En konversationsanalytisk undersøgelse af kropssproglige ressourcer til mindskelse af overlap og gaps i radioproduktioner

This paper examines how the facilitator in the context of radio and podcast productions makes use of the potential communicative resources of embodied language in reducing overlaps and gaps between speakers in interactions. The study is based upon a production of F.C. Kobenhavns Fanradio and it proposes that especially Kendon’s open hand supine (OHS) gesticulations and Streeck’s mid-turn offerings (MTO) are used by the facilitator in an explicitly embodied selection of a next speaker and thereby preventing incidences of unwanted gaps between speakers. Additionally, this study shows how the facilitator engages nonverbally in the interaction during other participants’ turns by producing what I have chosen to call embodied comments. These embodied comments consist of one or more gestures that have a collective semantical meaning that can be understood as interactionally meaningful by other participants. The study proposes that these nonverbal engagements are expressions of co-construction and participate in the reduction of occurrences of overlaps in interactions.
Primary criteria of buying shoe decision among female students using fuzzy analytical hierarchy process / Mazidatul Liana Meor Hussin

Fuzzy Analytical Hierarchy Process (F-AHP) is one of the popular methods to study non-numerical data. Non-numerical data refers to the criteria for buying shoe decisions among female students. Various criteria influence a student to buy their shoes. Thus, this study aims to formulate a model that can evaluate the most highlighted criteria of the buying shoe decision. This research involves four main criteria whenever a decision to buy shoes is made. Those criteria are fashion, material, durability, and price. The data in this study were collected by the researcher through distributing questionnaires to several shoe shops in Arau and Kangar as they are the nearest shop the students can go. Next, the solutions were analyzed by using Microsoft (MS) Excel. From the results obtained, the criterion with the highest weight is price with 0.4742, followed by durability with 0.2763, material with 0.1279, and lastly, fashion with 0.1216. From the value above, it was analyzed that price influence students the most when buying shoes. This model can also be used with other non-numerical data to evaluate the criteria of preference.
Efektivitas Pembelajaran Online Menggunakan Media Zoom Cloud Meeting Terhadap Hasil Belajar Siswa Kelas V SD Negeri 37 Pekanbaru Pada Masa Covid-19

This study aims to determine the effectiveness of online learning using media zoom cloud meetings on student learning outcomes. With a quantitative method approach and pre-experimental research design. The pre-experimental form used was the one-group pretest-posttest design. The use of pretest and posttest is expected to be more accurate during the study because it can compare with the situation before being treated. To obtain correct and accurate data, questionnaires and test questions were used as data collection tools. The data were tested using a two-way ANOVA with the help of the SPSS-23 application. The results showed that online learning using zoom cloud meeting media was effective in student learning outcomes during the Covid-19 pandemic.
Smart Electronic Voting Machine Using IoT

The basic concept of this mission is to create a digital voting sys- tem as a way to assist to get rid of defrauding of the manual voting structures like paper based voting system, in this there is a chance of casting vote more than once and prior. The proposed machine is which includes a couple of layers of verifications to ensure the reliability of the device. With the inclusion of biometric fingerprint sensor, every voter is entered into the gadget simplest after being diagnosed and checked with the given database of enlisted voters. Once the corresponding fingerprint is matched with the records provided, the voter will be allowed to proceed for selecting their preferred candidate from the panel of buttons. The final vote is then displayed onto a Liquid Cristal Display for the pride of voters. The proposed project displays transparency and also carries the characteristic of being autonomous for the duration of the path of operation.
PRAGMATIC ANALYSIS OF TEACHER UTTERANCES IN A VIRTUAL CLASSROOM

This article is interested in studying the utterances used by a teacher in a virtual classroom. The study is conducted in Kindergarten 2 class, James Education Centre located in Bogor. The method applied is descriptive qualitative, using recordings and note taking as a technique to attain data. Looking into the illocutionary act, which is the meaning of utterances proposed by Searle, the data reveals that 69% of the teacher utterances are directives, 18% assertives and 12% expressives. The meaning of directive speech act is commiting interlocuters to do something. Assertives are used as statements and reports, while expressives as compliments and expressing gratitude. Keywords: utterance; speech act; illocutionaryact; directives.
Developing Efficient Web Crawler for Effective Disaster Management

&amp;lt;p&amp;gt;The exponential escalation of disaster loss in our country has led to the awareness that disaster risks are presumably increasing. In the past few years, numerous hazards have been reported in India which has caused severe casualties, infrastructural, agricultural and economic damages. Over the years, researchers have scrutinized social media data for disaster management as it has the advantage of being available in real time and stays relevant in hazard response. But, the authenticity of social media data has been questioned particularly in a disaster management scenario where false information cannot be afforded. Collection of credible disaster statistics during or after a hazard occurrence is a demanding task. Web documents such as a news report are credible when compared to social media data and hence, the proposed work aims in developing a web crawler which is a software that's capable of indexing legitimate news websites from the world wide web which contains news articles related to hazards. The articles are extracted by incorporating the technique of data scraping which includes the use of a developed hazard ontology. The ontology contains hazard relevant keywords at multiple granularities. The developed crawler is able to prioritise websites based on its contents which makes the data collection more accurate. The collected data is&amp;amp;#160; analyzed and structured as it may assist in administering hazard emergencies during a hazard, preparedness before a hazard occurrence and other post disaster activities efficiently. The proposed work also focuses on local media as it may provide news reports from regional locations which might not be reported in the mainstream media.&amp;amp;#160; News articles are written in natural languages and hence structuring them into a statistical form involves natural language processing methodologies. The proposed work mainly focuses on semantic information extraction from news articles to extract statistical data related to the hazard, its impacts and loss.&amp;amp;#160; News illustrations often include less newsworthy content such as advertisements and past studies of the hazard location. Hence, a supervised learning based text classification is performed to classify newsworthy content from the articles and approximately 70% accuracy has been achieved.&amp;lt;/p&amp;gt;
Chatbot Application for Tourism using Natural Language Tool Kit

Chatbot is widely popular now-a-days which is designed to increase the interaction and conversation with human users, mainly over the internet and it is catching speed as an application of computer program. Traditionally, it works as getting a question by the user and answered by a software program. The user can enter the query via text. If the user enters the query which is not presented in the data base, the chat bot uses the google search and gives the relevant answers to the user. When the user enters the query, the bot uses the pattern matching compares and relates the words in the question with the words in the data base. From the user input, the words in the sentence will be scored to get the similarity. The highest score obtained will be printed as output. NLP (Natural Language Processing) method is used in order to understand the human language by the computer.
Emotionally Intelligent Chatbot

An emotionally intelligent chatbot system aims to make an effective conversation between humans and machines in as natural and interactive a manner as possible. The chatbot agent has the pre-embedded knowledge base to identify the sentences, intents, entities, and context of the input query to be precise for making a valid, predictable decision itself as a self-generated response to answer the query. The present technical project consists of developing an intelligent system for college enquiry purposes using a web-based chatbot agent, through machine learning, query processing, and sentiment and emotion classification system to analyze the sentiment of the visitor towards the college. Emotionally Intelligent College Enquiry Chatbot System is nothing but a chatbot to understand the user queries and respond to them during a conversation. A chatbot can actively help humans to involve in a digital automated conversation with a machine or a system effective. In the following proposed system, feature extraction and data cleaning techniques are applied to the dataset, and classifiers such as multinomial naive Bayes, logistic regression and k nearest neighbours are used to train the model. The classifier with the highest accuracy is further used for the emotion classification of users.
Federated Learning of User Verification Models Without Sharing Embeddings

We consider the problem of training User Verification (UV) models in federated setting, where each user has access to the data of only one class and user embeddings cannot be shared with the server or other users. To address this problem, we propose Federated User Verification (FedUV), a framework in which users jointly learn a set of vectors and maximize the correlation of their instance embeddings with a secret linear combination of those vectors. We show that choosing the linear combinations from the codewords of an error-correcting code allows users to collaboratively train the model without revealing their embedding vectors. We present the experimental results for user verification with voice, face, and handwriting data and show that FedUV is on par with existing approaches, while not sharing the embeddings with other users or the server.
LibGuides: Economics and Management: Business Management

A guide to assist library users to easily find library resources related to Economics and Business management
Online-Fraud Detection, Web-Scraped Dataset Analysis and Algorithm Performance Evaluation

The volume of online information transfer has raised significantly in past few years. It is mainly due to various online portals that are currently one of the primary sources used by people. It is not always the case that the information found online is correct unless gained through some trusted and verified source. This is the reason why the user falls victim in the hands of false media. The term “Click-Bait” and “Fake News” are heard several times but people are unaware of the harm it is causing. The paper incorporates a Novel Neural Network Approach where Headlines are specifically taken into consideration. The model is tested for various types of headlines included in the Dataset. The proposed system is not only tested for Click-Bait Datasets collected from various news sites but also web-scraped data. Considerable results are obtained in terms of Accuracy, F1-score, Precision and Recall.
LibGuides: Maker Kits: Arduino

Maker Kits are part of the loanable equipment available at the OSU Valley Library. These kits can be used to invent, create, and develop new skils.
Философия рисков цифровизации образования: когнитивные риски и пути создания безопасной коммуникативно-образовательной среды

The instability of modern civilizational development and the growing risks of constructive socio-anthropological dynamics pose new challenges for philosophical knowledge. The article is devoted to the systemic problem of digitalization of education and the understanding of cognitive risks. The research methodology is based on philosophical, psychological, pedagogical and information technology approaches to the process of digitalization of education, determining the nature and forms of manifestations of cognitive risks. The authors rely on numerous foreign and domestic concepts of informatization (digitalization) of education and focus on several types of risks of the cognitive sphere of students: information over-saturation, devaluation of memory capabilities, reduction in the level of critical thinking. The article emphasizes the probabilistic nature of these cognitive risks, defined by a set of scientific, methodological, organizational, methodological, psychological and pedagogical factors and individual personality, psychophysiological characteristics of students who are vulnerable to these risks to different degrees. The result of the study is a proposal on ways to level the cognitive risks of digitalization of education. The authors call for a balanced strategy and the consolidated work of all subjects of the education system in order to achieve the formation of a safe communicative and educational environment.
Topic Modelling Twitterati Sentiments using Latent Dirichlet Allocation during Demonetization

Twitter has surfaced as one of the major social media platforms for sharing political views on pressing issues for the common man. In this paper, we attempt to apply a topic modelling technique, namely Latent Dirichlet Allocation (LDA) on tweets to analyse and come up with pertinent topics with the most relevant words that describe the topics most aptly. The tweets contain the demonetization hashtag to help us understand sentiments of people about demonetization. This technique can be used by analysts across any industry to understand the pertinent topics revolving around any social issue to take further actions in their organizations. Leveraging this sort of statistical topic modelling can be quite useful to researchers to correctly identify primary components of huge textual corpora for any kind of further analysis. The model comes up with very meaningful categorization of topics. Further, we measure the inter-topic distances via multidimensional scaling and review words and topics through metrics such as saliency and relevance.
Isometric Gaussian Process Latent Variable Model for Dissimilarity Data

We propose a fully generative model where the latent variable respects both the distances and the topology of the modeled data. The model leverages the Riemannian geometry of the generated manifold to endow the latent space with a well-defined stochastic distance measure, which is modeled as Nakagami distributions. These stochastic distances are sought to be as similar as possible to observed distances along a neighborhood graph through a censoring process. The model is inferred by variational inference and is therefore fully generative. We demonstrate how the new model can encode invariances in the learned manifolds.
ATTRIBUTES SUBSET SELECTION BASED IMAGE RETRIEVAL USING DATA MINING TECHNIQUE

The main objective or aim in this paper is to retrieve the images based on their similarity of searches made before. Surfing things is common in this regular world and the instant results about our searches is very important. So taking this as a main objective taking a data set created by ourselves with the attribute that relate to the image size and the image size , image quality , search visits etc. With these attributes images are retrieved according to the similar searches before.
Analysis of the Possibilities of the MOODLE Learning Management System for Organization of Distance Learning in the Conditions of the University

The modern world has changed dramatically with the widespread introduction of information and communication technologies. Today, an effective learning process without the use of modern technologies is unthinkable. Learning management systems are a bright representative of modern technologies, on the basis of which it is possible to organize the interaction of all participants in the learning process in the global Internet. The search for new approaches to the use of learning management systems can further enhance the effect of the use of modern information and communication technologies in the organization of the educational process.The article gives a general description of the MOODLE training management system and the main elements of the course: questionnaire database; external tool; glossary; task; lecture; feedback; survey; SCORM package; seminar; test; forum; chat. Among the resources were identified: hyperlink; book; IMS content package; explanations; page; file. The practical use of the listed elements of the course of the MOODLE learning management system allows to fully implement distance learning and effective interaction between student and teacher.The structure of the course includes the necessary set of structural elements (lectures, practical work, independent work, control of knowledge on the basis of tests) for the organization of distance learning in the conditions of higher educational institution.A significant advantage of the introduction of MOODLE in the traditional educational process is that, without violating its course and principles, it greatly enriches it due to its rich information, communication and pedagogical capabilities. Distance learning with the help of MOODLE allows you to organize productive independent work of the student to master the discipline. Through the means of access to interactive learning elements and MOODLE resources, students have the opportunity to optimize the assimilation of educational material in preparation for classes, and with the help of control elements - to improve the quality of self-control.
LibGuides: SPU Library Acquisitions Guide: Suggesting Books for the Library

This guide aims to help the Sol Plaatje University (SPU) community to understand and interact with the Acquisitions Department at the SPU Library.