Reviewerly/exHarmony huggingface dataset:
E-Learning Application Design at SMK Pelita Bangsaduring the Covid-19 Pandemic

The corona virus (covid-19) pandemic in Indonesia has forced the Government to make several policies to break the chain of spreading this virus. There are many policies made by the government in several fields, especially the education sector. One of the policies made was distance learning or online learning which was carried out during the Covid-19 pandemic so as not to crowd. This policy changes the habits and behaviour of teachers and students so far. The problem experienced by SMK Pelita Bangsa is the large number of students and teachers it has, SMK Pelita Bangsa must follow the Government's policy of conducting a distance learning process. Meanwhile, SMK Pelita Bangsa still uses conventional face-to-face learning methods. Based on this description, it is necessary to design a website-based E-Learning which later can help the distance learning process between teachers and students. The results of this E-Learning design research were conducted to provide solutions in the teaching and learning process at SMK Pelita Bangsa. This e-Learning has three main users, namely admin, teachers and students. Some of the learning processes include the teacher uploading materials and assignments, students downloading materials and doing assignments, admin adding teacher and student data and controlling the entire learning process. The programming language for designing E-Learning is the PHP programming language and MySQL as the database.
Cybersecurity Awareness of University Students in Nigeria: Analysis Approach

Today, the internet has become the backbone to empower and facilitate our daily activities, including educational, financial, and social activities. Nigeria is among the top list of countries that suffered economically from cybercriminals.  Many researchers have turned their attention to identifying the cybersecurity awareness of students but limited to the North-eastern universities in Nigeria. University students are prime targets of cyberattacks as research shows frequent access to the internet compared to normal users.  The main aim of this paper is to identify the current cybersecurity awareness on the following items (Cyberbully, Personal Information, Internet Banking, Internet Addiction, and Self-protection) of students at the North-eastern universities.  The quantitative method was adopted for data collection through a questionnaire that was administered to randomly selected students. The designed questionnaire covers the above items, ), based on the holistic result analysis using OrignPro Software the majority of result shows the students have some basic knowledge of cybersecurity in an item like personal information, internet banking, while other items like cyberbully, self-protection and, internet addiction result show moderate awareness. Subsequently, based on the in-depth analysis performed with a control variable “Major Discipline” as specialization, surprisingly, it indicates that engineering, humanity, and law faculties tend to have more awareness of cybersecurity. This survey provides a roadmap toward the design of effective cybersecurity awareness programs and implementation guidelines.
Brevi note su rifiuto di trasfusioni ematiche e responsabilità genitoriale. Quando il provvedimento restrittivo del Tribunale non trova giustificazione

The article focuses on three recent decrees issued by the Courts of Appeals of Rome, Milan, and Catania relating to the delicate matter of the legitimacy of the limitation of parental responsibility in relation to health choices regarding minor children. In compliance with the regulations introduced by law no. 219/2017, all the three Courts of Appeals ruled in favor of Jehovah’s Witness parents whose parental responsibilities had been limited or suspended based on the mere fact that they had requested that their children not be treated with blood transfusions
The effects of Domain Expertise on A User's Conversational Search

This paper delved into the effects of domain expertise on a user's conversational search, because as the use and acceptance of voice assistants increase the need for conversational search agent that can accommodate to a human characteristic such as domain expertise. Accommodating to disadvantaged users of web search as earlier works showed that users with low literacy and low spatial visualization abilities are strongly affected in their searches compared to users who do not suffer from these impairments. Prior research into domain expertise demonstrated the influence it has had on the querying behavior of users in web search. They found that domain experts included more domain specific jargon in their messages, made longer queries and spent less time per search task. This paper examined these findings in a conversational search setting. Contrary to these findings, no significant relation between the domain expertise level and any of these results could be established. However, conducting the experiment to assess these findings has provided insight into how users respond to a conversational search study such as this one.
Robust Testing and Estimation under Manipulation Attacks

We study robust testing and estimation of discrete distributions in the strong contamination model. We consider both the and the setting with information including communication and local privacy (LDP) constraints. Our technique relates the strength of manipulation attacks to the earth-mover distance using Hamming distance as the metric between messages(samples) from the users. In the centralized setting, we provide optimal error bounds for both learning and testing. Our lower bounds under local information constraints build on the recent lower bound methods in distributed inference. In the communication constrained setting, we develop novel algorithms based on random hashing and an $\ell_1/\ell_1$ isometry.
ЛИДЕРСКИЕ КАЧЕСТВА БУДУЩИХ ВОСПИТАТЕЛЕЙ И ИХ ВЗАИМОСВЯЗЬ С ВОПРОСАМИ САМОРАЗВИТИЯ

The article deals with the problem of leadership development in future teachers of preschool educational institutions in relation to the issues of their self-development. Speaking about becoming a leader, based on the approaches of various researchers of leadership, the position is put forward: to become a leader, a person must constantly work on himself. The factors impeding self-development are described. The model of drawing up the individual program of self-development is presented. A system of games and exercises aimed at harmonizing the inner world of the teacher-psychologist is given. The author concludes that the quality of the personality as a whole, rather than certain individual abilities, is of great importance for the leader.
Dimensionality Reduction on MRI and CT medical images using Deep Autoencoder

Medical images play a significant role in diagnosis and experimentation. For years, many experimentation and analysis have been made on medical images with a broad scope of achieving the desired results. Medical modalities like MRI, CT, PET, X-Ray, Ultrasound, etc. are popular in representing internal organ pictures of human bodies. Such volumetric images are stored and accessed with a huge demand in storage space. Compressing the images solves the problem of storage and transmission and also become beneficial for the telemedicine application. Since Medical images depict the human body's detailed and vital information, it needs to be compressed without distorting the details present over it. The lossless image compression approach works efficiently in representing the information present on the medical images without distorting the details. Deep learning neural networks proved to be efficient in analyzing the medical images in recent years. Deep Autoencoder attains to be achieving a higher level in dimensionality reduction with retaining the original quality of the input data. Pretraining of the architecture with the Deep Boltzmann Machines makes the algorithm more efficient to achieve a higher compression ratio with a high PSNR value. Analyzing the Deep autoencoder's performance with the other state of the art architecture proves to be efficient with low computational time
Analysis of correlation between structural response and ground motion intensity measures.

&amp;lt;p&amp;gt;Loss estimation for buildings that experienced earthquake shaking is an important step in Performance Based Earthquake Engineering (PBEE), comprising four major components &amp;amp;#8211; seismic hazard, building response, probability of damage, and the costs incurred in losses and repair works. The implementation of PBEE strongly depends on the ability to predict Engineering Demand Parameters (EDPs) that are usually defined in terms of maximum story drifts, plastic hinge rotations, and floor accelerations.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;In this study, we compute building responses for large sets of recorded ground motions considering frames with different natural periods (0.1-1.5s). The ground motion data used in our analysis comprise near field records from moderate-to-large earthquakes; these may generate shaking levels high enough to be of concern for the design and safety of buildings. We select the frames by varying the number of storys and bays to obtain a wide range of natural building periods. We compute ground motion intensity measures (IM) from the recorded dataset and extract engineering demand parameters (EDP) from building response analyses. Our results indicate that the inter-story drift correlates strongly with spectral measures of ground motion intensity (correlation coefficient above 0.85). We also investigate the effect of natural period on the estimated correlations. We find that the correlations with spectral intensity measures do not strongly depend on Vs30 and epicentral distance. Our results are useful in the context of applied performance-based design of structures, especially if uncertainties in seismological parameters due to limited knowledge of source, site or path effects play an important role in earthquake ground motions.&amp;lt;/p&amp;gt;
Composite G-codes over formal power series rings and finite chain ring

In this paper, we extend the work done on $G$-codes over formal power series rings and finite chain rings $\mathbb{F}_q[t]/(t^i)$, to composite $G$-codes over the same alphabets. We define composite $G$-codes over the infinite ring $R_\infty$ as ideals in the group ring $R_\infty G.$ We show that the dual of a composite $G$-code is again a composite $G$-code in this setting. We extend the known results on projections and lifts of $G$-codes over the finite chain rings and over the formal power series rings to composite $G$-codes. Additionally, we extend some known results on $\gamma$-adic $G$-codes over $R_\infty$ to composite $G$-codes and study these codes over principal ideal rings.
Students’ Perception of Using YouTube as Media in Learning Vocabulary

YouTube is an application that contains a variety of video content in which there are various kinds of videos, both non-academic and academic. With its ease of use, which only requires web access, YouTube is an application that can be used as a learning medium. Likewise with the level of use among students, it allows YouTube to be a media in learning. In this study, using a qualitative approach through a questionnaire to 14 students of Electronical Engineering at the Akademi Teknologi Industri Dewantara Palopo who were given 20 statements using the Likert Scale, it was found that 11 students (78.57 percent) of the students' high interest, 3 students (21.43 percent) of the students 'very high interest, and none of the students' moderate interest, low interest and very low interest. This shows that student interest in studying on YouTube is very high.&#x0D;
PHYSICAL ACTIVITIES IN THE CORONA ERA ARE A BOON

The journey from forest to land and from soil to house has made a huge impact on the work efficiency and physical routine of man. In the modern era, the mechanical work has made the physical work of the human more relaxed. Due to which their physical defense system has been adversely affected. And man has been surrounded by many incurable diseases. The most severe attack on this plight of humans was done by the corona virus, a disease that emerged in 2019 China. Due to which millions of human beings lost their lives. And that person is becoming the easiest sufferer of this disease, their physical disease immune system is weak. Or they do not do physical work, exercise, yoga etc. to the person. Whether physical activities be it labor, exercise, yoga, the physical disease of man keeps the immune system healthy.
The Application of Computer Information Technology in Environmental Analysis

In the process of continuous development of China's computer information technology, it has been widely used in various fields, and it is no exception in the field of environmental analysis. Combining computer information technology with specific environmental analysis, using modern environmental science theories and methods to protect the environment in a planned way, prevent the deterioration of environmental quality, and control the environment from pollution, which can promote the coordinated development of mankind and the environment. Therefore, in order to better study computer information technology in the field of environmental analysis, this article specifically discusses the application of computer information technology in environmental analysis.
VUT Libraries: Faculty of Applied and Computer Sciences: Order Books Through Nevada

This guide contains genral library information for the Faculty of Applied and Computer Sciences.
Youth Education: A Prerequisite for Peace-Building and Sustainable Development in Nigeria

This paper tends to posit that youth education is a prerequisite for peace building and sustainable development in Nigeria. A glance looks at the term ‘youth education’ is often misunderstood, conceived differently from different scholars. And the practices showcased that youth education is of no use in peace building. This is based on the assumption that violent usually starts from youth. It is in this regard that the researcher adopts analytic and expository method in carrying out this work. So that the readers should understand what youth education / education is all about. The researcher concludes that youth education should lay emphasis on the criteria of an educated man not only on the certificate. The researcher also makes some suggestion that youth should involve in political matter, and that government should emphasis on political elites – not on certificate award.
Backtracking Search Algorithm based on Knowledge of Different Populations for Continuous Optimization Problems

Backtracking search algorithm (BSA) has been applied to solve the various optimization problems in recent years. However, BSA is difficult to solve non-separable problems due to its single search mechanism. In this paper, backtracking search algorithm based on knowledge of different populations, named DKBSA, is proposed to solve continuous optimization problems. In DKBSA, sub-population partitioning method is used to enhance the local search ability and alleviate the loss rate of the diversity of population. Afterwards, a mutation strategy with knowledge guidance and rotation invariance, which is based on the current sub-population information and historical information, is designed to improve the convergence speed of the DKBSA. Furthermore, a control parameter of adaptive search factor is embedded in the mutation strategy to balance the exploitation and exploration of the proposed algorithm. Finally, a probabilistic model-based strategy is proposed to generate dominant individuals to further improve the search ability of the proposed algorithm. The experimental results of the state-of-the-art algorithms in the CEC2017 benchmark test suit reveal that the DKBSA is effective for solving non-separable problems.
A Study On Online Spam Review Detection Methods By Machine Learning Approach

Online reviews for products, movies, shopping, etc. have become the major purchase decision of customers to make before buying the product. These reviews are kind of public opinion about the product which they bought and this may help another person who is willing to buy the product. The impact of reviews had made manufacturers, and retailers to be more concerned about making the product as a best one. Many retailers such as Reliance, Big Bazaar, More, etc are very concerned about online reviews and there are possibilities for these reviews to affect business either positively or negatively.  Certain retailers are trying to create false reviews about the product through AI as a part of promoting the product. This process is termed the  Opinion spam or opinion review spam here is where the reviewers manipulate a wrong review for selling the product for profit. Not all online reviews are trustworthy and truthful so in such cases, a model must be created for detecting online review spam. This research paper tries to highlight the online spam review detecting by machine learning approach using NLP (Natural Language Processing) where the extracted features from the text will be taken for further review. In this research main focus was shifted to the ML technique for detecting review spam, and classifying them. The main aim of the research is to provide a comprehensive ad strong ML approach for detecting review spam.
ПОДГОТОВКА УЧИТЕЛЕЙ ОБЩЕОБРАЗОВАТЕЛЬНЫХ ШКОЛ К ИНКЛЮЗИВНОМУ ОБУЧЕНИЮ

The article examines the readiness of teachers of secondary schools for inclusive education. When organizing inclusive education in secondary school there are a number of contradictions. In this issue, the non-acceptance of an inclusive education system and the insufficient training of teachers in the school as a whole still remain a priority. This is due to the task of socializing children with disabilities. Here, as a rule, one can relate the attitude of parents to the education of children in need of knowledge of different levels, to the interaction of children with disabilities with
Design of Computer-Aided Volleyball Teaching System in Colleges and Universities

Abstract The emergence and gradual popularization of computers gradually raise the impact of information on the whole society to an absolutely important position. With the further development of the new round of curriculum reform, the application of computer technology in education and teaching is becoming more and more extensive, which enriches the teaching means. By introducing multimedia technology into the teaching work, we can realize teaching based on picture and text, express teaching information through picture and text, sound, video and so on, and greatly improve the teaching efficiency. Volleyball teaching is one of the main courses in ball games teaching. The application of computer-aided teaching means to volleyball teaching can achieve a great degree of auxiliary effect. In view of the classroom teaching in colleges and universities, computer aided teaching is widely used in the practice of classroom teaching, and the teaching methods and teaching models have been diversified. From the content of volleyball teaching and the design characteristics based on teaching system, combined with the idea of software engineering, this paper makes a detailed demand analysis to guide students to open autonomous learning, which is also the trend of educational development in the future[1].
CS Track database: first statistical results

The first version of the CS Track database contains a comprehensive collection of CS projects in the European Union and H2020 Associated Countries for data extraction and further analysis. This data was collected to both analyse and better understand citizen science.
Video recording lectures: blending the quarantini

The Middlesex Maths team have been using iPads to record hundreds of hours of lectures (live, on campus) since October 2018. When our campus closed due to Covid this infrastructure and experience meant we could swiftly adapt to on-line learning, ensuring our students didn't miss a single lecture and were taught in a familiar way.In this presentation Matthew Jones and Nick Sharples will share their experiences with lecturing maths at levels 4-7 through iPads, the extra challenges of delivering live lectures remotely, and how these challenges have informed their plans of a blended learning approach starting in October.We cover:How to survive the video-editing workloadHow to breach the digital-divideHow to encourage remote engagement.
Developing Learning Material of Writing Skill Based on Multimedia for the Junior High School Students in Makassar

Abstract. The problem of this research is how to develop writing skills teaching materials based on Multi media for junior high school students in Makassar.This research is a development research that aims to develop writing skills based on multimedia to improve the knowledge, skills of English writing for junior high school students in Makassar. The development of teaching materials will follow the research and development  model designed by Borg & Gall (1983). This research is an extensive process in examining the needs of students and then a product that is specifically designed to the needs of students. This is an effort to improve the ability of English writing skills through the development of multi-media based writing skills teaching materials. The research population was junior high school students in Makassar. The research sample was  to be students of SMPN 2 Makassar who made English as a compulsory subject. The result of the research shows that there are writing skill learning material,  multi media and syllabus. Keywords: Writing skill learning material, multimedia and syllabus
Efficient English Usage While Drafting Research Paper

Abba, K. A. (2018) et al proposes the challenge for instructors is to ascertain whether students’ metaknowledge about effective writing is accurate and support students as they transfer effective writing metaknowledge to their written work, while developing their use of writing to reflect upon and assimilate their learning.Odena, O., &amp; Burgess, H (2017) given the qualitative approach of this investigation, the results and discussion are presented combined in one section.
Detecting Spam Game Reviews on Steam with a Semi-Supervised Approach

The potential value of online reviews has led to more and more spam reviews appearing on the web. These spam reviews are widely distributed, harmful, and difficult to identify manually. In this paper, we explore and implement generalised approaches for identifying online deceptive spam game reviews from Steam. We analyse spam game reviews and present and validate a selection of techniques for detection. In addition, we aim to identify the unique features of game reviews and to create a labelled game review dataset based on different features. We were able to create a labelled dataset that can be used to identify spam game reviews in future research. Our method resulted in 5,021 of the 33,450 unlabelled Steam reviews being labelled as spam reviews, or approximately 15%. This falls within the expected range of 10-20% and maps to the Yelp figures of 14-20% of reviews being spam.
LibGuides: West Linn Public Library Musical Instrument Collection: Home

This Libguide showcases the musical instrument collection developed for West Linn Public Library by Roman Block.