Reviewerly/exHarmony huggingface dataset:
Educational Technologists during the COVID 19 pandemic: Recommendations for the post-pandemic Latin American University

During 2020, in the context of the health emergency caused by COVID19, Universidad de la República (Udelar) already had installed capacities (human and technological) that allowed it to continue teaching activities uninterruptedly. This was possible thanks to different factors that gave continuity to the educational processes of that year: the consolidation of the Virtual Learning Environments (VLE), as widely used spaces throughout the educational community, the deployment of highly trained human resources in charge of the VLE in each educational technology service and a basic technological infrastructure. This article tries to give an account of the state of the human resources associated with the educational technology services, its main characteristics. In addition, an approach to what has been the development of their tasks in the context of a health emergency is presented. A mixed methods study was carried out during the second semester of 2020 and first semester of 2021. The results obtained show a consolidation of the educational technologists role in the university. A greater visibility of the tasks they perform due to the increase in demand by the educational community caused by the Emergency Remote Teaching (ERT) was highlighted. However, no significant increases have been made in the assigned workloads or in new hires to enable a greater response from the educational technology services around the digital education activities during COVID 19 ERT. Analysis and recommendations on educational, organizational and technological dimensions can be extended to other Latin American universities to face the challenge of post-pandemic digital education.
An Experimental Study on the Differences between Classical Machine Learning and Quantum Machine Learning Models

The field of Machine Learning (ML) brought a massive revolution and change in how normal day operations used to happen in various businesses. The idea of ML was quite simple, merging two separate fields, Mathematics and Computer Science. This simple idea is the very reason that so many predictive and classification-based applications exist today. The development of such applications is a time-consuming process and is very computationally heavy because in the corporate world, a very large amount of historical data is used and processed. The training processes such as pre-processing, data engineering and transformations, deep learning, training and testing are themselves time consuming. A very new field of computer science deals with solving this exact problem of time consumption. Quantum Computing (QC) tries to solve these problems by using the concepts of Quantum Mechanics during computations. The QC technology claims to be not only fast in its computational speed but also more efficient and accurate as well. The following article consists of an experiment conducted where a machine learning model is trained in a classical computing environment using K-Nearest Neighbors (KNN) algorithm versus in a quantum computing environment using Quantum K-Nearest Neighbors (QKNN) algorithm.
Global Solar Radiation Modelling using an Artificial Neural Network for Kazaure, Jigawa State, Nigeria

This research presents an algorithm based on Artificial Neural Networks (ANN), for estimating monthly mean daily and hourly values of solar global radiation. To effectively investigate solar energy consumption and estimate solar renewable energy resources, the Hourly Global Solar Radiation measurements are necessary. In order to predict monthly average daily global sun irradiance on a horizontal area of Kazaure- Nigeria, this study creates a model utilizing ANN to solve the problem of solar energy distribution. Five empirical correlations are developed using the data from 42 months to aid in the prediction of the solar energy distribution pattern. The software is constructed around the Multilayer Perceptron under categorized tabs, with Multilayer perception in neural network Toolbox in MATLAB 9.7 version as a feed forward ANN that maps sets of input data into a set of suitable output. It differs from conventional linear perception by employing three or more layers of neurons (nodes) with nonlinear activation functions. It is also more effective than perceptrons in identifying input that is not linearly separable by a linear hyper-plane. Results obtained utilizing the suggested structure reveals good agreement between the calculated and measured levels of global solar irradiation. The ANN model is shown to be superior when compared to empirical models, due to negligible noise margin.
A social and philosophical analysis of the values of European education

The modern European education system is strongly influenced by the global trends of civilizational development. In the axiological dimension, there is a balancing act between the dynamic trends of innovativeness and traditional elements of the authenticity of the educational environment. The socio-philosophical value segment in education is at the stage of searching for optimal synergetic interactions at local and global levels. The scientific exploration aims to comprehend the peculiarities of social value elements of the European educational space and to renew a separate axiological cluster of the socio-educational paradigm of modernity. The article aims to structure theoretically outlook and practically dynamic socio-philosophical value concepts and their correlation in the European educational environment. The study used general scientific and scientific-pedagogical methods with the involvement of synergetic methodological principles. The results of the study indicate axiological gaps between traditionality and innovation in the European educational system and the need for the alignment of value constants. A promising direction of research is the formation of a progressive value paradigm, in which the system of values will meet the requirements of the time and become a guide to social development in general. So, in the modern educational system two types of values are relevant: dynamic, practically oriented - mobility, inclusiveness, innovativeness; fundamental, theoretical, and ideological - humanization, tolerance, identity.
EXPLORING STUDENTS' READING STRATEGY IN ENGLISH SUBJECT AT SMP NEGERI 17 BAUBAU

The problem statement of this research was whether the dominant reading strategy used by grade eight students at SMP Negeri 17 Baubau. From the problem statement, this research aims to know the dominant reading strategy in English subject activity used by grade eight students at SMP Negeri 17 Baubau Data collection in this research was carried out using a research instrument in the form of a questionnaire to determine the category of students' reading strategy. The data obtained were analyzed by descriptive statistics. The result indicated that the mean score for the metacognitive reading strategy was 2.79, the mean score for the cognitive reading strategy was 2.81, and the social reading strategy was 2.61. From those results, it could be concluded that the dominant reading strategy used by grade eight students was the cognitive strategy.
University Students’ Perceptions of Extensive Reading Intervention: Evidence from Universitas Hasanuddin Non-English Freshmen

This paper reports the findings drawn from a six-month survey on first-year students’ perception of Extensive Reading intervention in a basic general English course program at Hasanuddin University. This survey study aimed to reveal the extent to which the samples agreed on some aspects of language learning’s positive impacts from attending a reading intervention semester. Other aspects were also examined to the degree of improvement, such as students’ beliefs about eclecticism, self-confidence, and social identity. Data were obtained from questionnaire surveys consisting of 7 close-ended statements and four rating scales from 120 fresh undergraduates. The scaling of “strongly agreement” was tallied from the total samples to obtain the trend. The greater the percentage of the agreement rate, the stronger the perceptions, so as the higher the tendency of the positive impact of extensive reading. The findings came up with encouraging results where a greater proportion of the samples reported significant improvement in aspects contributing to language learning. These include improved vocabulary, writing skills, reading rate, comprehension, confidence, and motivation. The study also revealed the perceived gaining of social identity and reduced degree of eclecticism in dealing with English texts. The findings support the previous research that confirms assurance of reading improvement through extensive reading. The survey warrants pedagogical implications for teachers to constantly embark high intensity of reading activities for students to inculcate reading habits so as to improve personal study skills and encourage autonomous learning. &#x0D;
MENINGKATKAN KEMAMPUAN MENULIS TEKS EKSPOSISI ANALITIK MENGGUNAKAN MODEL CAFE

This research aimed to describe the implementation of cafe (critical thinking, active, fun, environment) model to enhance the students’ proficiency in writing analytical exposition texts The CAFE model was designed to make it easier for the students to write their analytical exposition texts by using three writing steps, pre-writing, writing, and post-writing activities. Some difficulties faced by students when they have to make a thesis, argue for it, and find evidence to support the arguments. The problem formulation of this research is how the CAFÉ learning model can enhance students’ ability to write analytical expository texts in XI IPA3 MAN IC Gorontalo. The method used in the research is Classroom Action Research with two cycles. Each cycle is conducted in three meetings. The respondents are 17 students in grade XI IPA3. The result shows that the average score in cycle one was 62.64, compared to 79.12 in cycle two. The CAFÉ model has proved that it can address the students’ difficulties in making their thesis, making arguments, finding evidence, connecting their ideas, and making a reiteration in writing analytical expository text.&#x0D;
Voter’s Poll Precinct Search

One of the biggest problems during election day is the congestion of voters in the areas where names, precinct numbers, sequence numbers, and voting status were verified. This is caused by the lack of a fast and effective system for doing the task. Few elections passed, and the said processes are done in a manual process. Recently, the Commission on Election launched an online precinct search and verification system but, the system failed to perform according to what is needed because it collects many user data the query proceeds and is very dependent to an internet connection which made it less usable in areas with poor internet connection. The mentioned gaps made the researchers think about how to improve the current system and make it more usable particularly in areas with poor internet connection. Using the Agile: Scrum methodology of software engineering, the researchers interviewed the election officer assigned in the town of Candijay. According to the election officer, having a system that would be able to search names, precinct numbers, sequence numbers, and verify voting status that runs without depending on an internet connection is the best solution to fasten the process and lessen voter congestion. The Voter’s Poll Precinct Search system has been developed based on the statements of the election officer and the current system. It is a localized system that runs on both web and mobile applications that searches voters’ information and status using a smartphone that aims to fasten the process of finding voter poll precincts, sequence numbers, and voter verification. The researchers made the clienteles answer the software usability questionnaire and received good feedback. Therefore, based on the data, the researchers concluded that the system successfully performed its designed task. Keywords: Mobile Application, Web Application
Waste Classification using Convolutional Neural Network

Abstract: Garbage is one of the most dangours product present onto earth and infact in this thenon-degradable part is veritably dangerous from mortal as well as beast point ofview.So we aimed to make a design which can sagrigate the type of scrap as per its parcels like paper, cupboard, glass, plastic etc. The thing of this design is to contribute to the development and enhancement of machine literacy ways concentrated on working environmental issues like the waste accumulation, global warming, pollution, etc. likewise, it'll be subject to trial by professionals and subject matter experts since its open- source. That trial is crucial when perfecting the performance of models in the field of machine literacy, along with the data gathering and processing ways used in the process.
Journal editor assistance: Copyediting and OJS management at Universitas Nahdlatul Ulama Indonesia

The lack of knowledge related to OJS management and the job desk of journal managers made LPPM Unusia organize workshops for journal editors: editing and managing OJS. The activity uses a mentoring method consisting of three stages, namely pre-activity, core activity and post-activity. The results of the assistance revealed that there was an increase in knowledge of journal managers regarding job desks and OJS management.
Movie Recommendation System

Movie recommendation system is important Because of its strength to the provide the enhanced entertainment in suggesting the recommended movies. This system suggests bunch of movies to the users based on their likes or the popularities of the movie. In this paper the main goal for a movie recommendation system is to provide a recommended movie to the new user as well as other. It needs movie database to collect all the prime information, like name of movies, their cast names who have work in that movie and their information, reviews of that movies etc.
PEMANFAATAN BUKU SEKOLAH ELEKTRONIK (BSE) MELALUI SMARTPHONE PADA MATA PELAJARAN IPS TERPADU DI SMP NEGERI 1 EREMERASA

Abstract: This class action research has the aim of studying the application of the use of electronic school books as a source of learning as well as efforts to improve student achievement. As for the background of this research because e-books or electronic school books are one of the interactive media along with other advantages such as easy, practical and anti-damaged. This research data collection technique by providing formative tests on each cycle and observation sheet. The data analysis method is quantitative descriptive. Learning achievement is analyzed by comparing tests between cycles. Indicators of learning achievement success in the form of mastery learning classically Greater Equal Than 85 percent. The results showed an increase in mastery learning from 75 percent or 15 people who finished in cycle I, to 90 percent or 18 people who completed in cycle II. This proves that the use of BSE on smartphones as a source of learning can improve mastery and learning achievement. The conclusion of this study is the effective use of BSE through smartphones can improve student achievement in class IX B in SMP Negeri 1 Eremerasa. Research recommendations to teachers to make maximum use of learning resources in schools such as BSE. And to students to better utilize the use of smartphones to increase knowledge and knowledge.
Modeling the number of Covid-19 cases in Maluku Province using the spatial error model

Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Twitter Facebook Reddit LinkedIn Tools Icon Tools Reprints and Permissions Cite Icon Cite Search Site Citation Dea Marchly Tuhumury, Carlos Salemba Latuihamallo, Nilam Belliny Kakiay, Ferry Kondo Lembang; Modeling the number of Covid-19 cases in Maluku Province using the spatial error model. AIP Conference Proceedings 23 January 2023; 2588 (1): 050032. https://doi.org/10.1063/5.0112235 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAIP Publishing PortfolioAIP Conference Proceedings Search Advanced Search |Citation Search
IDEMPOTEN PRIMITIF SKEMA ASOSIASI GRUP UNTUK MATRIKS GRUP ATAS Z_3

Some combinatorial problems in Mathematics can be studied via association scheme. By this scheme, algebra structure called Bose-Mesner algebra can be obtained. In this article, we show the explicit forms of the idempotent primitive of an association scheme for the group of order 48. Keywords: Association scheme, idempotent primitif
Pilot study on the perceptual quality of close-mic recordings in auralization of a string ensemble

Perceptually convincing auralization of joint musical performances requires an accurate representation of individual source signals. Recording instruments in anechoic environments typically lack the natural and intrinsic characteristics of joint performances due to limited room acoustic and inter-musician feedback. An alternative is to use close miking techniques to capture individual instruments in a joint performance, but minimizing microphone cross-talk and room acoustic feedback is a challenge here. This study investigates the perceptual quality of close-mic recordings in auralization of an ensemble in comparison to the binaural recordings. Binaural and close-mic recordings of a string ensemble performance with different number of violins were collected from Detmold concert house, and its auralization was performed using the Binaural Room Impulse Responses (BRIRs) obtained from in-situ measurements and room acoustic simulation. The recorded and auralized samples were perceptually evaluated by expert listeners in terms of their naturalness and similarity. Although the binaural recordings were not always rated to be highly natural, the clip-on microphone signals auralized using BRIR measurements show a similar distribution of naturalness to them which demonstrates their applicability for auralization-related applications. However, less natural and dissimilar ratings of simulated samples indicate the need for improvement of auralization using geometry-based room acoustic simulations.
Multi-layer Stacking Ensemble for Fault Detection Classification in Hydraulic System

In the manufacturing plant, data is being collected in real-time through sensors, and fault and failure detection can be performed with the collected data. Recently, as the amount of data being collected increases and computer performance improves, attempts to detect defects and failures using artificial intelligence are increasing. In this paper, a multi-layer stacking ensemble model was proposed as a predictive model for the detection of manufacturing plant defect data through hydraulic system data collected through sensors in the manufacturing industry. The proposed model consists of five algorithms commonly used in machine learning and has a neural network structure by making several of these layers. Experiments are conducted using a hydraulic system dataset, and the proposed method shows that the classification performance is better than that of the existing stacking ensemble method.
Virtual Assistants in a Digital Governance Environment

Technological developments have had a major impact on the intensive use of electronic equipment, networked or connected to the internet, factors that have boosted the emergence and growth of cybercrime. Measures to mitigate and combat the phenomenon, taking into account its complexity and specificity, must involve all public entities with responsibility in the sector, in a global effort to promote digital literacy in the areas of cybersecurity and computer crime prevention. These comprehensive actions should use digital technologies based on artificial intelligence (AI), such as virtual assistants, whose characteristics allow the massification of information transmission, while enhancing the digital inclusion of users. Government entities are engaged in adopting technologies based on chatbots, with their presence in several areas of public administration. Despite the evolution, these resources have not yet been made available by the entities responsible for mitigating computer crime. On the other hand, although there are government programs aimed at increasing the digital skills of citizens, namely regarding the protection of devices, digital content or personal data, they are not designed for the specificities of cybercrime. In this context, a system based on chatbots, implemented in a digital governance context, by law enforcement agencies, with resources shared with other government entities can contribute to the prevention of cybercrime.
A Linguistic Analysis of Authorship Attribution in E-Commerce Scams’ Promotional Contents and Narratives

The emergence of e-commerce or online shopping platform has opened-up multiple opportunities for business owners to multiply their earnings.At the same time, this enables consumers to shop conveniently compared to the traditional shopping method, especially during the Covid19 pandemic.In Malaysia, the development opens consumers to the novel threat of fraud and scams, especially on social media and other online shopping platforms such as Shopee, Lazada and Facebook Marketplace.Due to the alarming rise in scams worldwide and the elusive methods offenders use, law enforcement agencies have turned to public education and awareness programs to reduce the number of scam victims.Thus, this study aims to identify authors' attributes in e-commerce scams' promotional contents and narratives to examine the scammers' persuasive strategies to deceive their victims.Specifically, the study intends to look at the linguistic features in authorship attribution, including lexical, syntactic, semantic, structural, and content-specific features of the corpus.Although linguistic analysis has never been used in cybersecurity, learning the language used by scammers could help researchers collect more comprehensive empirical data and educate the public about this common phenomenon.