Reviewerly/exHarmony huggingface dataset:
How inclusive is my digital classroom

A major impact of Covid-19 on teachers and learners in higher education across the globe has been to take them out of shared physical spaces such as classrooms, lecture theatres and even laboratories and studios, and put them in digital classrooms. Learners and teachers have all become distant online teachers and learners. For many, this was a quick transition that was not always easy. However, many institutions now see the use of digital technologies in teaching and learning as a more permanent change (Sangster et al, 2020).While evidence shows that digital technologies can promote and enhance learning, this is dependent on how technology is used. For example, a review by Lillejord et al (2018), evaluating technology in higher education for Norway, concluded that higher education was still very teacher centred, and digital technologies were not being exploited to promote more learner centred and active learning environments. Any learning environment must offer quality and effective learning. This is aligned with the UN sustainable development goal No. 4 for inclusive and equitable quality education and “inclusive and effective learning environments for all” (www.un.org). Quality learning is therefore tied to inclusion in the learning environment. In Norway the requirement for inclusion in education is enshrined in the Equality and Discrimination Act (2017). However, a digital classroom is not the same as a physical classroom. I am aware of the principles of Universal Design for Learning in inclusion, and also have several years’ experience in using digital technologies in teaching and learning, I had not explicitly considered UDL in digital classrooms.  I evaluated my synchronous digital classroom from the perspective of UDL and inclusivity, using four diversity items from Nelson Laird’s (2011) inclusivity diversity model and relevant literature. I selected the items as relevant to a synchronous online classroom. These are concerned with pedagogy, classroom environment and adjustment. My evaluation suggests that while I have made some effort towards creating an inclusive online classroom, I should be doing more.
A Survey On Layered Security In Cloud Computing: Issues,Threats, And Solutions

Over the internet, the cloud computing reveals a remarkable potential to provide on-demand services to consumers with greater flexibility in a cost effective manner. While moving towards the concept of on-demand service, resource pooling, shifting everything on the distributive environment, security is the major obstacle for this new dreamed vision of computing capability. This survey present a comprehensive overview of the security issues for different factors affecting cloud computing. Furthermore, a detailed discussion on several key topics regarding embedded system, application, storage system, clustering related issues and many more. This paper works on some public cloud and private cloud authorities as well as related security concerns. Additionally, it encompasses the requirements for better security management and suggests 3-tier security architecture. Open issues with discussion in which some new security concepts and recommendations are also provided.
The Impact of Knowledge Sharing on Performance: Evidence from Sri Lankan Public Sector Employees

The importance of the way toward getting to and assessing knowledge has been expanded with the use of new technology. Knowledge sharing has become a vital factor at the individual level as much as at the organizational level. Useful knowledge sharing in the case of an organization's employees makes a positive impact on accomplishing goals set by the organization. Knowledge sharing positively affects the employee’s performance in order to achieve organizational goals. This study concentrates on the impact of knowledge sharing on employee performance in government organizations. The study's overall objectives are to recognize the impact of knowledge sharing on employee performance and identify the connection between knowledge sharing and employee performance in the state sector. This study uses individual (knowledge self-efficacy, enjoyment in helping others), organizational (management support, organization rewards, organizational culture) and technological (use of information and communication technology) factors as enablers of the knowledge sharing process. As per the findings, Individual factors, Organizational factors and Technological factors relate positively to employee performance in government establishments.
ПРИМЕНЕНИЕ ПОЛОЖЕНИЙ «ТЕОРИИ ЗОНЫ БЛИЖАЙШЕГО РАЗВИТИЯ» В ПРОЦЕССЕ ОБУЧЕНИЯ ИНОСТРАННОМУ ЯЗЫКУ В УСЛОВИЯХ ИНКЛЮЗИВНОГО ОБРАЗОВАНИЯ

The article describes methods of applying the theory developed by Brunner D, as well as “scaffolding” for overcoming the zone of proximal development introduced by Vygotsky L. S. Teaching allows building the learning process, taking into account the zone of proximal development of each student, in such a way so that it is based on the student’s basic knowledge, speed of learning language material and mastering features by each student individually. The urgency of the research is justified on the grounds that a principal concern for developing foreign language teaching methodology in an inclusive class is becoming ever more acute, due to the development of inclusive education in Kazakhstan. The article analyzes English language textbooks in order to determine their conformity to the “zone of proximal development” theory. The article deals with the advantages and disadvantages of using scaffolding in a foreign language teaching process within inclusive education. The examples are given for working with students in an inclusive class by using scaffoldings.
OSEMN Approach for Real Time Data Analysis

Data analysis system is the study of people opinions, sentiments, attitudes, and emotions expressed through written language. Sentiment analysis is just a part of it in this system we compare the accuracy result of two languages sentiment analysis. If we saw than sentiment analysis is one of the most active research areas. It is popular because of two reasons. First, it has a big range of applications because opinions are center of almost all human activities and it shows our behaviours. Whenever we make a decision, we have to heard other’s opinions as well. Second, it presents many challenges research problems, which had never been strive before the year 2000. Part of the reason for the lack of study before was that there was small dogmatic text in digital forms. There is no surprise that the establishment and the rapid growth in the field coincide with the social media on the Web. In fact, the research has also increase outside of computer science to manage science and social science due to its importance to business and society as a whole. Information analysis system is the system in which we measure the accuracy rate of both languages chirps. The main thing is this that this project is a newly formed project. We can say that sentiment analysis is just a part of it for that we have to understand what is sentiment classification and analysis. So Sentiment classification is a way to inspect the personal data in the chirps or data and then extract the opinion. Chirps analysis the method by which information is withdraw from the opinions, and emotions of people in regards to things. During decision taking the opinion of other person shave a drastic effect on users or customers ease because they make choices regarding to e-shopping, choosing events, products, things. The approaches towards chirps analysis work according to a particular level, document level. This paper aims at analysing a solution for the sentiment classification at a powdery, mainly in the sentences in which the polar nature of the chirps or sentences given by three categorization name as positive ,negative and neutral.
ASSISTANCE IN FORMULATING AFFECTIVE AND EFFICIENT SUBJECT SCHEDULES THROUGH THE TIMETABLE APPLICATION AT SMA 1 NISAM

Community service aims to mentor teachers of SMA N 1 Nisam in the preparation of teaching schedules through timetable applications. TimeTable is an application created specifically to help users organize schedules, which are more affective and efficient. TimeTable has an elegant look so it's easy to operate. The application of asc time table will make it easier to work on the curriculum, especially for the preparation of the schedule of subjects quickly, accurately and relevantly, and can overcome the problems of clashing schedules of subjects perclass, teacher, and study room at SMA N1 Nisam. Key words: TimeTable, Course schedule
ОБЪЕКТНО-ОРИЕНТИРОВАННЫЕ СИСТЕМЫ КАК ФАКТОР ФОРМИРОВАНИЯ ИНФОРМАТИВНОЙ ЛОГИЧЕСКОЙ КОМПЕТЕНТНОСТИ БУДУЩИХ СПЕЦИАЛИСТОВ

Computerization of all industries, science and education requires the creation and implementation of new information technologies on the one hand, and on the other, a new approach in professional education of future specialists. The article considers one of the problematic solutions with the creation of the educational method of object- oriented systems based on statistical modeling. The information model is the study of natural and special languages, based on theoretical thinking. The computer moderator is considered as a result of generalization of professional knowledge about the subjects and phenomena presented in the information model. Methods for increasing the efficiency of using object-oriented systems in higher education institutions due to the fuller use of the achievements of modern pedagogical science.
Characterization of Selected Lipolytic Bacteria from Domestic Waste Composting Process

Compost is the result of the partial decomposition of a mixture of organic materials which is accelerated by a population of various microbes under environmental and aerobic or anaerobic conditions. The microbes present during the composting process differ in each phase. The purpose of this study was to characterize lipolytic bacterial isolates at each phase of domestic waste composting. The methods used include isolation and screening of lipolytic bacteria from each composting phase using Rhodamine B, biochemical characteristics test of selected isolates, lipolytic activity test of selected bacteria by titration method. The results showed that there were 59 isolates in the early mesophilic phase, 32 isolates in the thermophilic phase and 27 isolates in the late mesophilic phase which had lipolytic activity marked with an orange zone around the colony. The results on selected isolates and different biochemical characters, obtained 8 lipolytic isolates to determined their growth curves and lipolytic activity, namely LKMA3, LKMD1, LKMG1, LKTB1, LKTD4, LKTF2, LKMC2 and LKMD4 isolates. The results of determining the specific activity of the selected isolates showed that there were 3 isolates that had relatively high specific activity, namely LKMA3 isolates of 0.4689 U / mg, oLKMG1 isolates of 0.4227 U / mg and LKTD4 isolates of 0.4598 U / mg. Based on these results it can be concluded that there are microbial variations in each composting phase and each microbe has a different ability to produce lipolytic activity.Kata kunci : lipolytic bacteria, domestic waste, compost
Identification of Languages from The Text Document Using Natural Language Processing System

One of the fundamental and significant tasks of data interpretation is language detection from textual data. The current effort is to detect the 22 distinct languages in a multilingual document using the Hybrid Isomap technique. Language identification research is becoming increasingly relevant in everyday life. Language identification tasks  performed using the Parliament Proceedings Parallel Corpus 1996-2011. The corpus is a vast and systematic collection of machine treadle writings generated in a natural communication situation. This corpus is derived from the proceedings of the European Parliament, and it usually involves 21 European languages. The Natural Language Processing approach will facilitate in identifying the many languages included in the text document.
Examining Supervisor Support through the Lens of Conservation of Resource Theory (COR): A Sequential Path Model

The study was conducted to identify the antecedents and outcomes of psychological safety and feeling trusted with some additional mediators, resulting in positive and negative outcomes. The study is novel as it was the first attempt to test the dual pathways in terms of psychological safety and trust. The study used the positivism research philosophy followed by the deductive approach to meet the objectives of the study. The survey method was used to collect the data. 400 questionnaires were distributed among subordinates and 318 returned, representing a response rate of 79.5%. On the other hand, we also took the responsibility of supervisors to rate the level of creativity of their subordinates (dyadic), with an average of 8-10 employees working under one supervisor, so we selected 40 supervisors after collecting subordinate level data and distributed questionnaires using the questionnaire coding method. The response rate from supervisors was 98%. The results suggested that supervisor support through feeling trusted and voicing behavior on employee creativity is having a significant relationship and supervisor support through feeling trusted and perceived workload on employee creativity is also having a significant relationship supporting partial mediation. Subsequently, another relationship i.e. supervisor support and employee creativity was also tested and results identified that the relationship is mediated by perceived workload and emotional exhaustion. Moreover, supervisor support relationship with employee's creativity mediated by psychological safety and voicing behavior is also having the mediation effects. Therefore, our entire hypotheses were accepted.
Virtual Tour as an Alternative Tourism at Pud Jor Shrine and Ubudiah Mosque during Covid-19 Pandemic

The Covid-19 pandemic which has become increasingly prevalent in Indonesia and throughout the world, which caused all tourism destinations affected and businesses declined. Therefore, the increasingly sophisticated and advanced technology model can be further explored in creating a Virtual Tour which makes a place to travel through pictures and videos without leaving the house. We present virtual tour as an alternative tourism at Pud Jor Shrine and Ubudiah Mosque during Covid-19 Pandemic. We use a combination of available platform and YouTube in exploring both virtual destinations. These virtual tours can also be used as an alternative online-based media of business in promoting of tourism places which are currently slumped due to the pandemic.
Improved Optimization and Speed up in Big Stream Data Processing

To provide the low latency, higher throughput & speedup in stream processing, there should be systematic flow design which can accept the continuous incoming stream and provide it to the different operators to work parallel on the incoming stream. In this paper, we have implemented the proposed pipeline and watermark on Apache Beam along with google cloud dataflow as a runner. The experiments have been carried on stock market dataset, by considering the prices of oil, us dollar and gold as essential dependent parameters. Result of experiments proved that there is a relationship exist between the stock price and those dependent parameters. Now as the prediction of stock market essentially required other dependent parameter to be present which are originally from distributed environment, any parameter delay affect the result of prediction and introduced the good optimization and low latency. To implement the effective stream processing, we have used pipeline and watermark concept to handle and reduced any such delay and increase the speedup in big data stream processing.
Application of Interactive Teaching in Junior Middle School English Teaching Practice

Interaction is an indispensable part of teaching. Only through interaction can the teacher better understand the students' thoughts and the students' knowledge base and learning ability. Only when students can better understand the content of the text can the problems encountered in the learning process be discovered and solved. Both for teachers and students, interactive teaching is important and necessary. At the junior high school stage, due to the greater pressure of entering a higher education, many teachers choose to compress and squeeze the time of interactive teaching, and spend more time on the explanation of knowledge points and spot checks and recitations. Little do they know that such behavior is not sensible. This article analyzes and summarizes the current situation of interactive teaching in junior high school English teaching and its causes and effects, and provides suggestions for the development of interactive teaching in junior high school English teaching from the perspective of classroom interaction and extracurricular interaction.
Single-image Full-body Human Relighting.

We present a single-image data-driven method to automatically relight images with full-body humans in them. Our framework is based on a realistic scene decomposition leveraging precomputed radiance transfer (PRT) and spherical harmonics (SH) lighting. In contrast to previous work, we lift the assumptions on Lambertian materials and explicitly model diffuse and specular reflectance in our data. Moreover, we introduce an additional light-dependent residual term that accounts for errors in the PRT-based image reconstruction. We propose a new deep learning architecture, tailored to the decomposition performed in PRT, that is trained using a combination of L1, logarithmic, and rendering losses. Our model outperforms the state of the art for full-body human relighting both with synthetic images and photographs.
Особенности идентификации информационного общества в контексте интернет-коммуникации

The article is devoted to the identification peculiarities of the information media in the context of globalization of the communicative space. The aim of the study was to understand the main trends for an increasingly fragmented media of the digital environment. In order to understand the problem, it seems important to use the descriptive method and the method of content analysis. The study produced a number of key findings: Internet thinking is characterized by simplification, fragmentation, appeal to interest, not to consciousness; the Internet environment has developed its own tools and stylistics, reflecting the Internet consciousness; a specific language based on “likes, memes, emoji, epic formulas, hashtags” that promote a special international code of communication in the information environment.
AN ERROR ANALYSIS OF LEXICOGRAMMATICAL FEATURES IN STUDENTS’ WRITING EXPLANATION TEXT ABILITY (A Study at the Fourth Semester English Department of Institut Pendidikan Tapanuli Selatan in 2018/2019 Academic Year)

The purposes of the research are to know the students’ error on using lexicogrammatical features in writing explanation text ability at the Fourth Semester of English Department of Institut Pendidikan Tapanuli Selatan and to know why the students made errors in using lexicogrammatical features in writing explanation text ability. The method which is used in this research is mixed method. The informants of this research are the fourth semester of English department which consisted of 15 students that was taken by using purposive sampling. Purposive sampling is used to get the informants by using certain criteria, where in this research the writer got the informants by error criteria. The instruments are used in this research are test, observation and interview. The lexicogrammatical features error analysis of students has done into three elements, they are: simple present tense, conjunction and passive voice. The result of data description shows that simple present tense was the error which most dominant that is made by the students. It took 63.0% of the total errors. Moreover, 23.0% error in conjunction used and 13.8% errors in passive voice. The causes of students’ errors in using lexicogrammatical features are lack of understanding about simple present tense, conjunction and passive voice; lack of awareness; interference of first language; carelessness (lack of motivation) and translation
An Improved Framework For Content Based Image Retrieval Based Chemical Reaction Optimization

With regards to the areas pertaining to image processing and machine learning, Content Based Image Retrieval (CBIR) system has become the main area of research in the recent years.  Low-level attributes such as shape, color and texture are in general analyzed through CBIR systems.  While describing a data collection, combination of features are selected among a given larger set through feature selection.  While classifying and categorizing, valuations of feature performance and selection techniques are carried out.  The Chemical Reaction Optimization technique has a better search capacity and can solve NP hard optimization problems.  To be more specific, many problems with high efficiency are addressed through this technique.  This work involves a novel classifier called modified AdaBoost and in this proposed technique, the number of classification trees and maximum depth per tree is optimized with the help of CRO.
Large-scale quantum computers one step closer

Google has shown that its Sycamore quantum computer can detect and fix computational errors, an essential step for large-scale quantum computing, but its current system generates more errors than it solv
Detection of Multiword Expressions with Word Vector Representations

Multiword expressions (MWE) are word combinations where multiple words leave their own meaning to build a new one. These word combinations are important in text summarization, automatic machine translation and language generation fields. In this study, MWEs are detected employing the word vector representations of word combinations and their composing words. In our work, vector representations of words and Word combinations are built employing five different methods. Giving vector representations as inputs to a group of classifiers, the classification performances are examined relatively. Experimental work is performed on Turkish data sets. The classification performance is measured by F1 value employing 5-fold cross validation. Experimental results showed that vector representations can be employed in MWE detection.
Интерпретация космоса в инструментальных сочинениях Валерия Ермошкина

The  article  analyzes  for  the  first  time the  works  of  the  contemporary  Tomsk  composer  Valery Yermoshkin  about  the  cosmos.  Being  a  conductor  and arranger  for  the  main long-term  activity,  the  musician shows  the  gift  of  the  composer  in  instrumental  and theatrical music. The relevance of the article is connected with the recent anniversary date – the 60th anniversary of  the  first  human  flight  into  space.  Paradoxically,  this significant  event  for  humanity  has  not  yet  received  its musical embodiment. The article interprets the figurative content of the works, draws analogies of musical portraits of space heroes with the composer’s ideas about them. The author of the suites seeks to reveal the movements of their souls, as well as to convey the dreams of ordinary people. In the analyzed compositions of Valery Yermoshkin, there is  no  special  pathos  and  pathos,  at  the  same  time,  the suites intended for performance by the chamber orchestra have a stronger impression on the audience.