Reviewerly/exHarmony huggingface dataset:
Little Samaritan Brothers: Crowdsourcing Voter Surveillance

Abstract Voter surveillance for digital campaigning is perceived as enacted from above. Political parties are “all-seeing actors” combining access to the Voters’ Registry with digital tools to maximize voter turnout. At the same time, new forms of lateral surveillance emerge as citizens voluntarily participate in the data collection process to help political parties achieve their electoral goals. This article examines the reconfiguration of the concepts of crowdsourcing and political participation through the use of voter-surveillance applications. Theoretically, it explores how crowdsourced voter surveillance (CVS) builds on the emancipatory rhetoric of political participation and crowdsourcing while relying on social, technical, and political surveillance infrastructures. Empirically, it maps the information flows and knowledge hierarchies afforded by Elector , a CVS app used by the Likud party in the Israeli election of March 2020. The findings indicate that contrary to the logic of crowdsourcing as democratizing knowledge and participation, CVS cultivates controlled individuals and normalizes lateral surveillance as a ritualistic and desired form of political participation. The article therefore describes the type of political action that CVS constructs as Little Samaritan Brothers: citizens who collectively resign their rights and the rights of their peers for the party’s success.
Integrating Random Forest and Support Vector Regression Models for Optimized Energy Consumption Evaluation in Cloud Computing Data Centers

This study proposes a novel approach for energy consumption evaluation in cloud computing data centers. The immense energy consumption of these data centers presents significant environmental and economic challenges. Traditional evaluation methods often fail to provide accurate estimations due to the complex dynamics of cloud computing environments. The research introduces an integrated model, combining Random Forest Regression and Support Vector Regression, along with a Gradient Boosting Regressor for iterative training of regression parameters. We measure the model's performance using Root Mean Square Error (RMSE) and Mean Absolute Percentage Error (MAPE), replacing traditional relative deviation measures. The proposed approach aims to provide more accurate and efficient energy consumption evaluations, offering potential benefits in energy management, operational costs reduction, and minimizing environmental impact.
Mathematical Model of Filtration Process for Two-Phase “Oil-Gas” System in Two-Layer Dynamic Connection

The article also analyzes field studies on the mathematical model of the two-phase filtration process in layers of a porous medium and the process of two-phase non-stationary filtration in an interconnected two-layer porous medium and the numerical solution of the problem based on it, a boundary value problem was developed and accurate and efficient methods for solving two-dimensional filtration problems were used.
Instant Health Monitoring System for Epidemic

Human life was shaken in year 2019 when a new virus was recognized in China. This virus threatened the whole Earth and later on we faced the proper lockdown as well. To avoid this pandemic social distancing and quarantine had been followed by the whole world. In such pandemic doctor visits were important but due to spread of infection it was not possible. But many time patient needs care and observation of medical staff to be fine. Here, with advance modern technology, one can seek the benefit of it which allow us to monitor the patient without medical staff and result of it are also accurate. The Immediate Health Monitoring System for Epidemic uses IoT which enables it to monitor the patient's temperature along with the oxygen level in an instant; this system transmits the same information to the doctor or medical service provider at a distant location. It is also enabled to look at the patient's current condition. If the values of the parameters change from the standard values, then an alert message can be given to the medical service provider or the doctor concerned with the patient. This instant health monitoring plan based on IoT helps doctors to effortlessly collect real-time numbers at their location which is far from the patient's location. The availability of high-speed internet is very cheap in India, which is why it allows the system to monitor the parameters of patient at regular intervals. Early detection of any disease and in case of covid-19 as well, enables better protection to the patient life. Treatment would be more effective if we detect the problem in early stage. It is also observed that the reading or measurement of the equipment or component used in the system is also similar to the commercial equipment available at present.
Deep Learning Approaches for Web Page Classification in Focused Crawling

Web page classification plays a crucial role in focused crawling, where the goal is to selectively retrieve relevant pages based on specific topics or domains of interest. Deep learning approaches have gained significant attention in recent years due to their ability to extract high-level representations from raw data. This paper presents an overview of deep learning techniques used for web page classification in focused crawling. We discuss various deep learning architectures, training strategies, and evaluation metrics employed in this context. Furthermore, we provide insights into the challenges and future directions in this rapidly evolving field.
Metacognitive awareness on EFL students’ writing anxiety: An Indonesian higher education context

Various methods or techniques have been used by teachers in teaching writing. However, this skill is still perceived to be very anxious for EFL students in Indonesia. Therefore, this study tries to explore (1) the metacognitive awareness strategies used by students in the learning process; (2) identify the factors that affect students' writing anxiety; and (3) determine the impact of metacognitive awareness strategies on writing anxiety. There are thirty-four students participated in filling out the questionnaire. To analyse the data, a descriptive quantitative approach is applied. The research findings show that debugging strategies are the highest strategy used by students in the learning process, with a percentage of 89.22%, followed by planning strategies, with a percentage of 85.29%, and information management strategies, with a percentage of 79.41%. While cognitive anxiety is the highest factor affecting students’ writing anxiety, with a percentage of 57.98%. Somatic anxiety, with a percentage of 57.35%; and avoidance anxiety, with a percentage of 25%. In addition, to know the impact of metacognitive awareness strategy on students’ second language writing anxiety uses simple linear regression analysis. It is found that there is no significant impact of the metacognitive awareness strategies on students’ second language writing anxiety.
USE OF SHORT STORY TO IMPROVE STUDENTS' VOCABULARY MASTERY

This research aimed to find out whether or not the use of Short Stories can improve vocabulary mastery. The researcher used a pre-experimental one group with pretest and post-test design. The instrument used to collect data of this research is a test. The researcher used a vocabulary translating test that consisted of 10 questions and a vocabulary matching test that consisted of 10 questions. There were 20 questions for pre-test and 20 questions for post-test. The research findings show that the students' vocabulary mastery improved by using short Stories. It was shown on the mean score of pre-test 44.82 while the mean score of post-test 76.42 which means higher than pre-test The conclusion is drawn based on the results obtained from the paired-sample T-test.. The significant sig. (2-tailed) of pre-test and post-test 0.000. The sig. (2- tailed) is 0.000 &lt; 0.05 which means the pre-test and post-test has sig &lt; a and can be concluded that the alternative hypothesis (Ha) is accepted and the null hypothesis (H0) is rejected. From these findings, there was an improvement in vocabulary mastery and it was concluded that the use of Short Stories can improve vocabulary mastery.
The Effect of Education on Increasing Student Enthusiasm for Learning in the Transition Period of Online to Offline Learning

This study aims to find out the reason for the impact of the increase in enthusiasm for learning in the transition period of online to offline learning. This research was conducted on 12 students from State Junior High School 12 Bandung, Indonesia, who came from grades 7, 8, and 9. This research was conducted using a qualitative method with 3 stages, namely (i) the dissemination of the pre-test questionnaire, (ii) the provision of education to increase the enthusiasm for learning with video media, and (iii) the dissemination of the questionnaire post-test. The results obtained in the form of the average value of the pretest was 52.5 and the average post-test was 87.5 which showed that the student's post-test score increased significantly. This is due to the lack of education of students on the spirit of learning, and they are not used to offline learning. From the results of the study, it can be interpreted that the provision of education to increase the enthusiasm for learning in the transition period of online to offline learning with video media is influential and effectively used on students. This research is expected to have an impact on increasing student enthusiasm for learning which will affect student learning outcomes.
Improving Training of Modern Leaders Utilizing it in The Administration of The Higher Education System

This paper aims to discuss the problem of organizing students ' independent educational activities using IT projects and task management system. The concept of " independent learning activity " is formulated based on the studied domestic literature on this issue. The methodological potential of IT (e.g. the JIRA platform) is considered in the example of practical tasks of project management and organization of interaction between participants by analysing the functions of the program and correlating them with the tasks being implemented. The data obtained indicate the expediency of using the JIRA project and task management system as a means of implementing independent research -level learning activities when organizing a group project. The content of the research level of the system for improving independent learning activities is disclosed with consideration of preparatory measures and the first form of practical application, mastered and updated, which is a "group project ". The psycholinguistic content of independent learning activities of students at the level of higher education is analysed. The results of a methodical analysis of the JIRA project and task management system, which allows you to coordinate the interaction of users, students, project managers, and teachers are presented. A variant of preparing students for the group implementation of specialized linguistic independent educational activities by using the JIRA project and task management system is proposed.
Examining the Challenges of Early Childhood Education in Nigeria

Early Childhood Education is an essential formal education given to children from conception to eight years for cognitive, social, and emotional development, language and speech development, and the development of fine and gross motor skills. Early childhood education reduces the rate of school dropout and higher school achievement and helps to curb the rate of juvenile arrests in society. However, early childhood education is faced with a lot of bottlenecks that intend to hinder the effectiveness of early childhood in Nigeria. These challenges comprise poor infrastructure facilities, poor numeration of teachers' salaries, inadequate implementation of early childhood curriculum, employment of unqualified and incompetent teachers with little or no in-depth knowledge of early childhood Developmental Appropriate Practices, corruption, and poor funding of early childhood programs, Proliferation of early childhood according to National Policy on Education is a pertinent issue that has led to a poor standard and lack of proper regulation of early childhood institutions across the country, the language of the immediate environment as a medium of instruction is not strictly adhered to most states in Nigeria among others. The study revealed that these challenges could be solved by adequately implementing, proper funding and supervision of early childhood programs in Nigeri.
Information and Communication Technology as a Veritable Tool for Administrators in University: From Teaching Perspectives to Challenge in Education

Information and communication technology (ICT) plays a critical role in improving educational quality. Because of its strengths in facilitating administration operations such as data storage, knowledge management, and decision-making, ICT solutions for administration and management are currently popular in universities. Here, to support teaching and learning processes as well as to achieve the veritable tools for administrators in private universities, the purpose of this study was to gain a better understanding of how ICT applications are used, the tools used by the school administrator, and the efficacy of ICT applications for administrative and managerial tasks at universities. It is obvious that lack of commitment by Administrators; lack of ICT strategy; lack of competent staff to manage the ICTs and low skill level of the administrators led to the reasons for poor use of the ICTs in Universities. Other reasons that added to the underuse of the ICTs are insufficient budget and irregular power supply. This paper presents a survey of the literature on ICT applications and their efficacy in university administration functions. The findings provided insight into how administrators might improve and expand their use of ICT in daily administrative duties to make their work more efficient and effective. Finally, recommendations for university administrations to improve their ICT understanding and practice will be explored.
Theoretical Foundations of The Creation of a Curriculum in Higher Project IT in Education

The subject of the work is the formation of theoretical foundations for the creation of curricula in higher project IT education; the object of the work is the curriculum in higher IT education; the purpose of the work is to increase the curriculum in higher project IT education; to achieve this goal, the article solves the following tasks: Descriptions of the essence and structure of the curriculum, the formation of methodological provisions of the theory of curriculum, descriptions, and discussions of the mechanism of curriculum formation in higher project IT education.
A Study on Media Literacy Use in School-Age Children with Language Disorder

They should be provided with new means of communication that emerge with the changing times. They should be able to recognize the advantages of the features of different media so that they can use the media usefully. The author believes that the effective and appropriate use of media literacy for elementary school students with disabilities will result in a positive impact. Therefore, this study aims to analyze the actual level of media literacy among School-age language disorder with disabilities and explore ways to promote it in a therapeutic aspect. Of the 40 people, 4 who did not respond appropriately were excluded, resulting in 36 people. In order to find out the status of media literacy use by speech rehabilitation workers currently working in language clinical sites, an online survey using Google Docs and a paper questionnaire were administered to the subjects. For the purpose of the study, ‘A survey on the use of media literacy by school-age children with language disorder’, the purpose of this study, the direction of data use, and how to complete the questionnaire were explained. We investigated the status and status of media use among school-age children with language disorder. The media used by the target children for more than 3 hours were games, animation, and Youtube. Among media outlets, it can be seen that SNS usage time is less than 2hours. And it was found that the target children were using all media, including TV, Game, Animation, Youtube, SNS, Movie/Drama, and Internet portal search. School-age children with language disorder had excellent use skills related to media devices, such as searching task-related keywords, grasping various contents, and finding task information. On the other hand, the subjects showed a low ability to use online information to evaluate its rationality and fairness. Lastly, all of the target children had low scores on questions related to media production ability. In particular, by understanding the current status of school-age media literacy content, it will be possible to identify the advantages of the characteristics of various media and apply them usefully in treatment.
Review on Techniques in Natural Language Processing

The International Scientific Research Organization for Science, Engineering and Technology (ISROSET) is a Non-Profit Organization; The ISROSET is dedicated to improvement in academic sectors of Science (Chemistry, Bio-chemistry, Zoology, Botany, Biotechnology, Pharmaceutical Science, Bioscience, Bioinformatics, Biometrics, Biostatistics, Microbiology, Environmental Management, Medical Science, Forensic Science, Home Science, Library Science, Material Science Military Science, Physical Science, Physical Education Science, Educational Science, Fisheries, seed technology, Agriculture, Forestry Science, Mathematics, Physics, Statistics and Geology/Earth Science), Computer Science, Engineering and Information Technology, Commerce, Management, Economics Sociology and Social Science.
Classification Interest Customer XL Internet Card Using Naive Bayes Algorithm At PT XML Tronik

In the world of trade, competition within a company has become commonplace and makes business people always think about breakthroughs that can ensure the continuity of their business . Basically companies have valuable assets but are rarely used as a reference, these assets are in the form of databases with large numbers. PT.XML Tronik is a company that has been in the technology sector for a long time, one of which is selling GSM Card Providers in Indonesia. The classification method used is the Naïve Bayes Algorithm, where Naïve Bayes is used to classify statistical and probability methods . Method This research uses several stages starting from data collection , analysis sales , data processing using naïve Bayes method and proceed with measurements level accuracy use WEKA application . From the results of data mining using the Naïve Bayes Algorithm, this researcher found patterns of interest in buying XL Card customers at PT.XML Tronik . Based on the results of the analysis carried out, using 20% of the test data with negative and positive labels. So that it can produce a sign ending with an accuracy level of 84.6667% with a precision of 97% and a recall of 83%.
Editorial for Metaverse (Volume 4 Issue 2)

&lt;p&gt;People are getting more and more familiar with the concept of “Metaverse” as a result of the advanced technologies that are developing at a rapid pace. Though it incorporates many current technologies, such as 5G, cloud computing, artificial intelligence, virtual reality, blockchain, digital currency, the Internet of Things, and human-computer interaction, the Metaverse itself does not contain any new technology&lt;sup&gt;[1]&lt;/sup&gt;. The Metaverse is the carrier of the next generation of social worlds, having developed a new environment in which people are virtually connected to their loved ones, pets, favorite things, and experiences&lt;sup&gt;[2]&lt;/sup&gt;. Everyday lifeworld is being impacted by the Metaverse these days, and there are a lot of interesting and absorbing things to investigate and study. This issue offers readers an intriguing look into research on the Metaverse from a variety of perspectives, with the primary focus being on art production via Metaverse-related technologies. In addition, scholars try to take various technologies associated with the Metaverse into the consideration of objective reality of the digital age. It is envisaged that those subjects will stimulate readers’ curiosity and encourage their active Metaverse investigation.&lt;/p&gt;
Effectiveness of Online Learning in English Subject at Pangkalpinang state Junior High School during Covid-19 Pandemic

Effective online learning is virtual face-to-face learning carried out through communication and information technology by teachers and students since the emergence of the Covid-19 pandemic by fulfilling 5 indicators (management of learning implementation, communicative processes, student responses, learning activities and learning outcomes) which are supported by adequate infrastructure (Internet network, smartphone memory, internet quota) especially English language learning. Is the implementation of online English learning effective at Pangkalpinang State Middle School? remembering that there were several obstacles found in the field, namely difficult networks, full smartphone memory, insufficient internet quota, bad weather such as thunderstorms, and the absence of students' parents to accompany them during the learning process. This research is a mix-method research that uses a questionnaire distributed via WhatsApp as a data collection method. The questionnaire contains 8 closed questions and 3 open questions. The population contains all state junior high school students in Pangkalpinang. Samples were taken using cluster random sampling. The data analysis technique used is descriptive statistical analysis, the results of which are developed using qualitative analysis.
Exploring Grammar Learning Needs and Challenges: Insights from an Online Discussion Forum

This research article explores the grammar learning needs and challenges faced by English language learners through an analysis of questions collected from the online discussion forum. The forum, created by a group of researchers at Universitas Negeri Medan, serves as a platform for learners to seek guidance and support in their grammar learning journey. By conducting qualitative content analysis on 19 questions specifically related to grammar, common themes and patterns regarding grammar challenges were identified. The findings highlight areas of difficulty such as Subject-Verb Agreement, Direct and Indirect Speech, Punctuation (Hyphen usage), Relative Clauses, Understanding "Neither" and "Either", Verb Tenses, Passive Voice, Direct Quotations vs. Paraphrasing in Academic Writing. Addressing these challenges through targeted explanations, examples, and recommendations can assist educators and language instructors in supporting learners in overcoming grammar difficulties and improving overall language proficiency. The insights derived from this study contribute to the development of effective instructional strategies tailored to learners' specific needs.
Symbiosis, or How to Make Kin in the Chthulucene

The virtual reality installation Symbiosis (Polymorf 2020) is a performative, multisensory, multiuser, multispecies, and interpassive storytelling experience inspired by Donna Haraway’s book Staying with the Trouble (2016). It offers a speculative world set somewhere 200 years in the future, after a human-caused climate disaster has changed the Earth beyond recognition. The world’s population consists of so-called ‘children of compost’ or ‘symbionts.’ The installation allows six participants to simultaneously embody one of six symbiotic life forms. Each experience comes with a uniquely designed soft robotic wearable enabling participants not only to see, hear, and feel but also to smell and taste their symbiotic experiences. In this way, Symbiosis becomes a passionate imagining of how to make kin in the Chthulucene.