Reviewerly/exHarmony huggingface dataset:
Increasing Poetry Writing Skills Through Media Collection Of Pandemi Themes Of Short Film On Students Class 1 State 1 Sma Krian Sidoarjo

ABSTRACT&#x0D; This study aimed to improve students’ ability in writing poetry through the medium of short film collection with a pandemic theme. The subjects of this study were the First grade students of SMA Negeri 1 Krian. The results showed that the poetry writing skills of the First grade students of SMA Negeri 1 Krian, Sidoarjo district, had increased. In preliminary study, it was identified that the students' poetry writing skills reached a complete level of 34.61% and an incomplete level of 65.38%. Then, after conducting two cycles, the first cycle reached the level of completion 42. 30% and the level of incompleteness 57.69%. Meanwhile, the second cycle indicated 76.92% level of completion and 23.07% level of incomplete. In conclusion, learning to write poetry through a collection of short films with the theme of pandemic is helpful for students of language class in SMAN 1 Krian Sidoarjo. It could increase their ability in writing poetry. Thus, the researcher suggest the teacher to choose varied learning media in order to enhance their students’poetry writing skill.
Propositions of syllogisms of art history (revision of art history discourse)

Scientific and speculative prospects of art history, its object-ness in the struggle with object-lessness are not a general (speculative) statements on post-, trans- multi- or other psudonyms of time; first of all, it concerns the object, tools and method of work — of course, considering the place, time, political, economic and other circumstances. Taking into account this context, the vocabulary of art history (development, periodization, reform, etc.), as well as the peculiarities of the «art history logic» of generalizations and the functions of art history discourse are considered. It is argued that there is a need to revise the key terms of art history and actualization of its prognostic function, which is implemented through the dependencies between the objective facts previously discovered by it; actualization of this function will help the results of scientific studies to be put into art practice.
English Language Proficiency and School Performance in English

This study determined the English Language Proficiency and School Performance in English as well the school performance as a whole. The respondents of the study were both English teachers and grade 10 students in the national high schools in the fifth district of Iloilo, using the descriptive comparative approach. Findings of which served as basis for the enhancement of the existing English manual used in English 101 for the improvement of English language proficiency of the students enrolled in the said subject. Generally, seventy percent of the student and teacher respondents were female. Teachers’ Level of English language proficiency has a significant effect on the level of proficiency of students which has a direct relationship on the school performance. It was also found out that teachers’ performance has no significant relationship with the students’ performance in English and school performance as a whole. Further, student–respondents performance has a significant relationship with their level of English language proficiency which has a direct effect on the school performance as a whole. The English teachers’ performance is related to their English proficiency level, but not associated with the students’ performance in English and school performance. However, the English teachers’ level of English language proficiency significantly affects the students’ level of English proficiency, while the students’ performance has a significant effect on their level of English language proficiency, affecting the school performance as a whole. Enhancement of the English language manual that will be used in English 101 (Study and Thinking Skills) must be adopted. Training &amp; Development Program Design for the Enhancement of English Teachers language Proficiency must be implemented.
VALUE GUIDELINES OF VOCATIONAL EDUCATION: METHODOLOGICAL ASPECT

The article highlights the values in the training of future primary school teachers, among which the priority is the formation of the spiritual sphere of applicants, the introduction of a humanistic paradigm of education, a motivated teacher with developed new pedagogical thinking, training of a teacher, ready to compete in today's labor market, able to work in the era of digital civilization. In addition, methodological aspects are singled out in this process, in particular co-teaching, which provides for: parallel teaching, in which tutors provide the same information, dividing applicants into two groups, which allows you to get more attention and the opportunity to ask more questions; distributed teaching, during which teachers distribute educational material and applicants, teaching their part first to one, and then to another group; alternative teaching, where one teacher teaches educational material for all students, and another – for those who need special attention; team teaching, based on which the training material is explained by both tutors, but in different ways. Such training should be considered effective ways to modernize vocational education. Key words: values оf vocational education, the globalization world, the era of digital civilization, a teacher motivated by change, teaching, a competent teacher.
Low Latency Based Convolutional Recurrent Neural Network Model for Speech Command Recognition

The presented paper proposes a new speech command recognition model for novel engineering applications with limited resources. We built the proposed model with the help of a Convolutional Recurrent Neural Network (CRNN). The use of CRNN instead of Convolutional Neural Network (CNN) helps us to reduce the model parameters and memory requirement as per resource constraints. Furthermore, we insert transmute and curtailment layer between the layers of CRNN. By doing this we further reduce model parameters and float number of operations to half of the CRNN requirement. The proposed model is tested on Google’s speech command dataset. The obtained result shows that the proposed CRNN model requires 1/3 parameters as compared to the CNN model. The number of parameters of the CRNN model is further reduced by 45% and the float numbers of operations between 2% to 12 % in different recognition tasks. The recognition accuracy of the proposed model is 96% on Google’s speech command dataset, and on laboratory recording, its recognition accuracy is 89%.
“Speaking is wonderful” Program, based on playful strategies and the oral expression in students of "Antonio Torres Araujo" school, 2019

This research was focused on demonstrating that the application of the "Speaking is wonderful" Program, based on playful strategies, stimulates the development of oral expression in first grade high school students from the "Antonio Torres Araujo" school in Trujillo. The research is quantitative, with a two-group quasi-experimental design. The population consisted of 173 students and the sample was 74 students: 37 (experimental group) and 37 (control group). The instruments applied were: the rubric, the pretest and the posttest, which were validated by expert judgment, obtaining a validity: 0.92 (V-Aiken) and reliability: 0.78 (KR20). The pretest and postest tests consisted of four levels: Starting, Process, Expected and Outstanding; In the pretest, 54% of students showed a low level in oral expression. However, after applying the postest, 62% improved their average to 16.6 points, reaching the “expected” level; At the level of dimensions, improvements were observed in “pronunciation” (57%); "Coherence" (56%); "Fluency" (64%); "Interaction" (65%) reaching the "expected" level. In conclusion, the program had a significant influence (sig = 0.000 &lt;0.05%) in the development of oral expression in the first-grade students of the “Antonio Torres Araujo” school.
Various Privacy and Security Issues in Online Social Networks

Abstract: Social networks have become a part of human life. online interaction, communication, and interest sharing, letting individuals create online profiles that other users can view these are basic features that are offer by most of social networking sites Unfortunately, In many cases, users are not even aware of the disclosure of their personal information through their profiles. Leakage of a user’s private information can happen in different ways. Many of the security risks associated with using social media are presented in this paper. Also, the issue of privacy and how it relates to security are described. Based on these discussions, some key points are provided to improve a user’s privacy and security on social networks. Our inquest will help the readers to understand the security and privacy issues for the social network users, and this research will help the user. Keywords: OSN; security; classic privacy threats; modern threat.
The Study of Usage of Hyperledger Fabric in Agricultural Ecommerce

With the advent of COVID-19, the ecommerce industry in India has seen an inflection point with rise in the demand across all the segments of the industry. Much ecommerce has been started to cater to the supply and demand mismatch in agricultural goods front. In these times, Blockchain is seen to create a trust bridge for all the stakeholder to transact through goods and supplies with minimal risks involved. But, to use this technology the technical, economical and a scalable approach to this technology is still a very prominent requirement for mass adoption. Permissionless Blockchain build on Proof of Work consensus protocol cannot be used due to their slow speed, low scalability, and high energy consumption for network functioning. This paper concludes with the possibility of using a Permissioned blockchain such as Hyperledger Fabric to not only solve the several underlying issues to facilitate efficiency in the Ecommerce architecture, with critical view on the mass adoption.
Penerapan Algoritma Rivest Shamir Adleman Untuk Meningkatkan Keamanan Virtual Private Network

Data and information security of an organization or company is very important. Data in an organization or company has important information for the sustainability of a company, as well as PT Karya Gemilang Plasindo. In order to increase the productivity and speed of information data, a VPN (Virtual Private Network) technology was built to connect the branch company and some employees who work on a mobility. But in practice there is a gap in the VPN (Virtual Private Network) technology used, the management of devices and users is irregular because the connecting process is only a username and password. The solution is to increase security in VPN (Virtual Private Network) technology by changing the VPN (Virtual Private Network) protocol and adding a certificate to limit devices that can connect to the intranet network. Previously, VPN (Virtual Private Network) technology used the PPTP (Point-to-Point Tunneling Protocol) protocol. These deficiencies are solved by changing the protocol to SSTP (Secure Socket Tunneling Protocol) and creating a certificate as the identity of a device while limiting the devices that can connect to the intranet network. The design in this study used RnD (Research and Development) and the results were tested using the Validity Test and Reliability Test with the KR 20 technique (Kuder Richardson). This test is tested using a questionnaire about the level of security of the latest technology to users. The test results to be achieved are the increased security of VPN (Virtual Private Network) on the designed intranet network that is considered to be able to maintain data and information security at PT Karya Gemilang Plasindo
Dsadvisor: A Tool to Support Predictive Tasks in Data Science

Currently, professionals from the most diverse areas of knowledge need to explore their data repositories in order to extract knowledge and create new products or services. Several tools have been proposed in order to facilitate the tasks involved in the Data Science lifecycle. However, such tools require their users to have specific (and deep) knowledge in different areas of Computing and Statistics, making their use practically unfeasible for non-specialist professionals in data science. In this paper, we propose a tool, which aims to encourage non-expert users to build machine learning models to solve predictive tasks, extracting knowledge from their own data repositories. More specifically, DSAdvisor these professionals in predictive tasks involving regression and classification
Students Attendances System Using Face Recognition

Abstract: Now a days we are living in this world where everything is automated and linked online. Internet are the things discover and it is used all over a world very beneficially.in human body face is the crucial factor for identifying each person. It can be identified by using different method like biometric for taking attendance. But in this method many more time are required to take attendance and also people are in contact with each other while marking their attendance in this pandemic situation we are introducing new technology student attendance system using face reorganization. Generally in a classroom the attendance was taken manually at ending or beginning of the class. The problem is that they required a lot of time to be taken and some manual and paper work will make a chance of mistake. To overcome from this problem we are introducing face recognition base attendance system. It is used in many application for identification of human face in a digital image or live video stream video. The proposed system make used of Haar classifier, KNN, CNN, SVM and global filters. After this recognition attendance report will be generated in excel format. The overall accuracy and complexity are calculated after testing this system it is cost efficient and need less installation time. Keywords: Face recognitions, Face detection, Haar classifier, CNN, KNN, SVM, LBPH, Automatic Attendances and image processing.
Why do the urgency of stakeholders matter more in the firm performance?

This study is an attempt to scrutinize the importance of different stakeholders with respect to financial performance (FP hereafter) in emerging countries context. Unlike developed countries, every element of the corporate social responsibility (CSR hereafter) is not supposed to generate similar corporate payback in the context of developing countries. Enterprises take considerable care to categorize these stakeholders in proper sequence for better corporate results. It was found empirically that CSR disclosure (CSRD hereafter) relevant to employees and communities have direct relationship with the firm‟s performance in term of earning per share (EPS).The results of this study will portray a comprehensive picture for corporate decision makers to realize the priorities and urgency of different beneficiaries for corporate benefits, existence and prosperity in the context of developing countries like Pakistan.
Assessment of Female University Students’ Digital Competence: Potential Implications for Higher Education in Africa

This study assessed the digital skills of female university students and the implications for higher education in Africa. A descriptive survey was used to sample 100 female university students from four African countries (Nigeria, Rwanda, South Africa, and Uganda). The instrument used was the digital competence survey. Two research questions and two hypotheses were postulated and tested. According to the study's findings, most female university students in Nigeria and South Africa have expert and advanced levels of information and digital literacy, communication and collaboration, digital content creation, and safety.On the other hand, Uganda was mainly found at the basic or no levels, whereas Rwanda was mostly found at the intermediate levels. The chi-square analysis reveals a significant difference between the ages of female university students and their DC levels (χ2 =.000; p &lt; 0.05). A significant difference exists between female university students’ program of study and their levels of DC (χ2 = .000; p &lt; 0.05). Students also faced challenges such as a lack of ICT tools, insufficient knowledge and skills, data issues, and poor internet connectivity. The implications of these findings for African higher education institutions suggest that female students, particularly in Rwanda and Uganda, require training to be digitally competent and compete globally with their peers. As a result, we recommend that students from different programs of study with less demand in technology be allowed to take compulsory electives in technology courses while older female students are given adequate support.
Particle Swarm Optimization-based Support Vector Machine Method for Sentiment Analysis in OVO Digital Payment Applications

Sentiment analysis is used to analyze reviews of a place or item from an application or website that then classified the review into positive reviews or negative reviews. reviews from users are considered very important because it contains information that can make it easier for new users who want to choose the right digital payment. Reviews about digital payment ovo are so much that it is difficult for prospective users of ovo digital payment applications to draw conclusions about ovo digital payment information. For this reason, a classification method is needed in this study using support vector machine and PSO methods. In this study, we used 400 data that were reduced to 200 positive reviews and 200 negative reviews. The accuracy obtained by using the support vector machine method of 76.50% is in the fair classification, while the accuracy obtained by using the support vector machine and Particle Swarm Optimization (PSO) method is 82.75% which is in good classification.
User Experience and User Satisfication Analysis of Learning Assistance Services (Tuweb, Tuton, TMK) at UPBJJ-UT Bengkulu

The purpose of this study was to analyze user experience and user satisfaction for learning assistance services, namely web-based tutorials, online tutorials and course assignments. The research method used is descriptive quantitative. The number of samples is 540 respondents, namely students. The instrument used is a questionnaire which is shared with google form. The data analysis technique of this research uses the Likert scale method and multiple linear regression. The results showed that the three learning aid services had positive user experience and user satisfaction. More than 75% of respondents rated the user experience and user satisfaction of TUWEB, TUTON and TMK as being in the good and high categories. TUWEB, TUTON and TMK study assistance services are available to meet the needs of various students. Students who like to study more intensely, can interact virtually in two directions via video conferencing will choose TUWEB. Students who find it difficult to find a scheduled time and prefer to study with a more flexible but still focused time will choose TUTON. As for students who do not want to take part in TUWEB or TUTON, there is a more practical TMK. Variables that have a significant effect on user satisfaction of TUWEB learning aid services are dependability and stimulation. Variables that have a significant effect on user satisfaction of TUTON learning aid services are attractiveness, perspicuity and stimulation. Variables that have a significant effect on user satisfaction of TMK learning aid services are efficiency and novelty.
Video Conferencing WebApp

Abstract: During the last few years, video conferencing has become very popular and very reliable as a tool to bridge the gap where travel is not an option. And the COVID-19 epidemic has also led to lockdown orders that have led to dramatic changes in the way people work. The number of people working in the home (WFH) had increased significantly during the pandemic. The need for distance learning has also increased and has become a compulsory education system in the midst of this current situation. The Companies are also adopting an innovative recruitment process at such time. So to address this issue, our project aims to build a conference app that helps to provide communication between people through audio conferencing, video conferencing, screen sharing and messaging in real time. In this, we have created group video chat with the help of WebRTC technology and socket programming. Also we have added real-time chat feature and screen share feature. We had created the web app using Jquery for front end and node.js express.js for signaling server and real time database of Firebase for storing chats and user information. WebRTC helped us to create peer to peer connection and with the help of sockets we have done transfer of sdp packets and ice candidates. We have discussed extensively about them in our paper. Keywords: Video conferencing app, sockets, webrtc, peer-to-peer, realtime data transfer
Semiotic processes implied in the High Dilution phenomena

Semiotic processes ( or semiosis) refer to those process which are carriers of meaning and are performed through signs. A sign is something that stands for something else, and is the main mediating factor between an object and an interpreter, able to connect them and give rise to significations. The semiotic perspective, according to Charles Sanders Peirce, is basically triadic: all aspects of reality are triadic, comprising the categories of Firstness, Secondness, and Thirdness in a continue and virtually infinite process of semiosis, i.e of various forms of giving rise to meanings that accordingly will generate reactions, actions and transformations. The aim of the present paper is to examine the possible levels of semiosis implied in the high dilution phenomenon, beginning with the process of so called ÃƒÂ¢Ã¢â€šÂ¬Ã…â€œpotencyÃƒÂ¢Ã¢â€šÂ¬Ã‚Â of substrata (where every potency may be considered a sign for the next one) and arriving to the complex responses of the living bodies to infinitesimal signs.
Performance evaluation of various deployment scenarios of the 3-replicated Cassandra NoSQL cluster on AWS

A concept of distributed replicated NoSQL data storages Cassandra-like, HBase, MongoDB has been proposed to effectively manage Big Data set whose volume, velocity and variability are difficult to deal with by using the traditional Relational Database Management Systems. Tradeoffs between consistency, availability, partition tolerance and latency is intrinsic to such systems. Although relations between these properties have been previously identified by the well-known CAP and PACELC theorems in qualitative terms, it is still necessary to quantify how different consistency settings, deployment patterns and other properties affect system performance.This experience report analysis performance of the Cassandra NoSQL database cluster and studies the tradeoff between data consistency guaranties and performance in distributed data storages. The primary focus is on investigating the quantitative interplay between Cassandra response time, throughput and its consistency settings considering different single- and multi-region deployment scenarios. The study uses the YCSB benchmarking framework and reports the results of the read and write performance tests of the three-replicated Cassandra cluster deployed in the Amazon AWS. In this paper, we also put forward a notation which can be used to formally describe distributed deployment of Cassandra cluster and its nodes relative to each other and to a client application. We present quantitative results showing how different consistency settings and deployment patterns affect Cassandra performance under different workloads. In particular, our experiments show that strong consistency costs up to 22 % of performance in case of the centralized Cassandra cluster deployment and can cause a 600 % increase in the read/write requests if Cassandra replicas and its clients are globally distributed across different AWS Regions.