Reviewerly/exHarmony huggingface dataset:
Forecasting Demand of Kindergarten and Childcare Center Teachers in 2023-2028

Objectives The purposes of this study was to forecast demand of kindergarten and childcare center teachers for 5 years from 2023 to 2028.&#x0D; Methods Based on data from kindergarten and childcare center last 3 years, estimating the number of children in 2023-2028 and the rate of enrolled kindergarten and childcare center was predicted by the three term moving average method. The number of enrolled kindergarten and childcare center was calculated by multiplying the number of children and the rate of enrolled kindergarten and childcare center. Demand for kindergarten childcare center teachers was predicted based on two scenarios: Class organization standards in kindergarten and child teacher ratio regulation and child teacher ratio based on 17 cities and provinces as of 2022.&#x0D; Results Demand for kindergarten and childcare center teacher was forecast to decline both scenarios. Acoording to scenario, kindergarten teachers were predicted to decrease by 6,462 and childcare center teacher were expected decrease by 6,503 during the forecast period. However, while the demand for kindergarten teachers continued to decrease during the forecast period, the demand for childcare center teachers bottomed out in 2026 and increased thereafter. Demand for teachers according to Scenario 2 also decreased during the forecast period. Compared to Scenario 1, which applied class organization standards and child teacher ratio regulation, the total teacher demand by applying the child teacher ratio based on the 2022 standard is more than 10,000 kindergarten teachers, more than 30,000 childcare center teachers will be needed.&#x0D; Conclusions These results implicated that the supply and demand policy of kindergarten and childcare center teacher, projecting required finances and distribution would be established for integrating early childhood education and childcare.
Unlocking the Power of Online Gaming: Exploring Its Potential as a Language and Communication Tool in the English Classroom - A Survey

Online games are believed to have excellent potential because they can hold students’ attention for long durations. It empowers the learners to participate more actively in the whole learning process. Communication is crucial in industry and higher education, so students must be proficient in LSRW (listening, Speaking, Reading, and Writing) skills. This study used a quantitative research method, a survey questionnaire, to gather tertiary-level students' perspectives on utilising online games to strengthen language and communication abilities. The participants in this study were tertiary-level students, and their ages ranged between 17 and 24 years. Google Forms was used to gather the responses to the survey. The collected data has been analysed using the SPSS (Statistical software for the social sciences). The result of the study shows that the use of online games in English language learning is becoming more popular, and learners are more interested to learn and practice the language through online games.
INCREASING STUDENTS’ VOCABULARY MASTERY BY USING FLASHCARDS AT SMP NEGERI 2 ESSANG

During the COVID-19 pandemic, education has become an important issue especially how distance learning is one of the options taken by almost all schools in Indonesia in reducing the spread of the COVID-19 virus. In this connection, it is related with the conditions where English is no longer the main subject in elementary school and will greatly affect the learning process of students when they enter junior high school where they will learn a lot of basic things from English and actually taught during elementary school. This research is proved whether the use of Flashcards in teaching vocabulary can increase students’ vocabulary mastery or not. This research delimits on verb only, especially to the common words or daily words used in describing the action, for instance: ordinary verb, transitive verb and intransitive verb. The verb, which is needed, and do not need the object and also the primary verb in used. The findings show that the post-test had a higher score than the pre-test. Pre-test shown the Mean score (T ̅1 = 73.63) and Standard Deviation (S12 = 76.6) are the lower than post-test in which the mean score (T ̅2 = 87.5) and Standard Deviation (S22 = 87.5) in post-test. It meant that the result of post-test after treatment is better than the pre-test before treatment. Based on the result of research, appyling technique using Flashcards to increasing students’ vocabulary mastery is effective.
Studi Literatur Pengembangan Media Interaktif pada Materi Vektor

Interactive media is an important component in educational activities, particularly in the fourth industrial revolution age. Teachers utilize learning material to support effective and efficient learning and to improve understanding among pupils. There is a need for a revolution in the learning material utilized by educators in the digital era. The media should not only be entertaining, but it should also be capable of developing higher-order thinking abilities in kids. Through its comprehensive design, including user instructions, content, and evaluation, interactive media, in particular, has the potential to make instructors' jobs easier and promote autonomous learning among students. Given these factors, a study of interactive media in the fourth industrial revolution is required. The purpose of this study is to see if interactive media in the fourth industrial revolution may impact students' learning results. This study's research technique is a literature review based on several publications.
Semantic web-enabled outlier and missing value detection and replacement in smart buildings

Digital twins have the potential to leverage AI in buildings.The quality of AI algorithms is dependent on the quality of the input data and its preprocessing.This paper discusses the potential of using semantic web technologies in preprocessing tasks.After reviewing state-of-the-art initiatives in this field, a data integration method is introduced based on semantic web technologies.This integrated data is used in approaches to find outliers and missing values in time series data and in two semantic similarity-based imputation methods.The paper shows that semantic web technologies can enhance preprocessing tasks, by applying both explicit and implicit reasoning.
INDONESIAN EFL STUDENTS’ PERCEPTION OF SELF-SELECTED AND TEACHER ASSIGNED WRITING TOPICS

One of the skills that is strengthened in language learning, especially English and foreign languages, is the ability to write. Writing means expressing in writing ideas, opinions, thoughts, and feelings. Familiarity with the topic in writing can be one of the factors that influence students' perceptions of their writing. Topics chosen by students and topics chosen by the teacher provide opportunities for students to convey their perceptions. And this can be developed when writing descriptive text. The purpose of this research is to examine how Indonesian EFL students perceive the writing topics they choose themselves and the topics the teacher chooses through their students' writing by asking them to write descriptive texts as a form of writing. The characteristics in this study are in the form of texts written by participants for researchers, and the resulting data is in the form of an analysis of the participant's writing process. The research method used is a qualitative descriptive research method where data collection is carried out through interview techniques, observation, and document studies. The researcher conducted unstructured interviews by asking questions related to the important points of the problem the participants wanted to explore. The researcher made direct observations of the participants who were working on the assignments given to them. Then the researcher applied the study of primary and secondary documents. The participants in this study were 36 students from 10th grade at one of the public high schools in Tanjungbalai. The results of this study indicate that students are more motivated to write when they are given the right to choose their own topics in writing class as opposed to topics chosen by their teachers.
Developing Interactive Learning Media for Teaching Writing Descriptive Text in Senior High School

The advancements in technology make it unavoidable to be used as a teaching medium in education. Thus, this research aims to develop an interactive learning media in the form of an Android-based application as a teaching medium for writing descriptive texts in senior high school and to determine the validity of the media. The researchers applied the Research and Development (R&amp;D) by employing the 4D Model developed by Thiagarajan et al. (1974). The instruments used were an interview, the validation sheets from a material expert, a media expert, and a learning expert (an English teacher), and a students’ response questionnaire. The research findings showed that the average result of the experts' assessment was 3.75 which was classified as 'Very Valid', then from the result of the students’ response questionnaire a percentage score of 81.19%, categorized as 'Very Decent’. Therefore, interactive learning media indicates valid and suitable to be utilized as teaching and learning media for writing descriptive texts for tenth-grade students in high school. The use of interactive learning media can be an alternative to attract students' interest in the learning process, especially in writing descriptive texts in a fun way.
A LegalRuleML editor with transformer-based autocompletion

The construction industry has pursued automated compliance checking for decades, but legal requirements conveyed in natural language are not intended for machine processing.There have been numerous attempts to translate these requirements into computable representations, progressing from manual to fully-automated approaches.However, it is unclear if fully-automated translation will become reliable and interpretable enough for legal matters.We propose a LegalRuleML Editor with Transformer-based Autocompletion to facilitate a semiautomated workflow with minimal manual effort.A deep learning model generates initial translations and contextualised autocompletion options.This strategy offers experts a superior translation process, including continuous improvements approximating full automation.
Penalized logistic normal multinomial factor analyzers for high dimensional compositional data

&#x0D; &#x0D; &#x0D; Model-based clustering utilizes a finite mixture model to identify underlying patterns or clusters across samples. A finite mixture model is a convex combination of two or more distributions, where appropriate distributions are chosen depending on the type of the data. Recently, there has been a great interest in clustering human microbiome data. Microbiome data are compositional (yielding relative abundance) and are high-dimensional. Previously, a family of logistic normal multinomial factor analyzers (LNM-FA) for model-based clus- tering of high-dimensional microbiome data was proposed via a factor analyzer structure. This reduced the number of parameters and computation overhead compared to a traditional mixtures of logistic normal multinomial models. Here, we propose a penalized LNM-FA (PLNM-FA) model by utilizing lasso regularization to each entry of the loading matrix. This introduces further parsimony compared to LNM-FA and also estimates the number of latent factors simultaneously. Parameter estimation is done using a variational variant of the alternating expectation conditional maximization algorithm to maximize the penalized maximum likelihood. The performance of proposed algorithm is evaluated using simula- tion studies and real data.&#x0D; Journal of Statistical Research 2022, Vol. 56, No. 2, pp.185-216 &#x0D; &#x0D; &#x0D;
Application of web-based nursing documentation systems in nurses

The rapid development of information technology affects all fields, especially health. The development of global health technology cannot be separated from digital technology and the internet. Nurses make a significant contribution to health services and must be able to provide services according to the standards set forth in nursing documentation using information technology. The purpose of this service is to increase the knowledge and skills of nurses to produce information technology-based nursing documentation. This service method includes gathering information on nurses' knowledge about the implementation of SDKI, SLKI, and SIKI, pre-test post-test assessment, training in providing web-based SDKI, SLKI, and SIKI material. The results achieved with this training were that the knowledge and skills of nurses increased in making web-based nursing documentation, namely 30 nurses answered correctly about nursing diagnoses, signs and symptoms and interventions. As for the outcome, only 28 nurses answered correctly.
Generation of acoustic ontology for a holistic building performance domain

The building performance domain suffers from inaccurate, incomplete, or repeating information due to application-specific data structures, which leads to poor data integrity and interoperability.In particular, no building acoustic ontology with a generalized and integrated data structure has been published.This study aims to create a unified and generalized building acoustic ontology based on reverse engineering over acoustic software applications.The study is a starting point for design of a domain-specific ontology as a knowledge repository by serving the building acoustic performance principles in generalized conceptual modeling and linking semantics and object relations in a building information graph.
Design dimensions for blockchain oracles in the AEC industry

The literature on blockchain for AEC often has limited discussion on the design of the blockchain Oracle, the entity that ensures trusted information input from the real world.This work aims to illuminate an often unaddressed topic of how to best design Oracles for application to the AEC industry.To answer this, the paper reviews the stateof-the-art of existing Oracle taxonomies, literature on blockchain for AEC that implement Oracles, and proposes Oracle design dimensions to frame future blockchain work.The work can help researchers and practitioners to think about relevant dimensions when designing and discussing Oracles for AEC use cases.
Bayesian Joint Modeling Analysis of Longitudinal Proportion and Survival Data

This paper focuses on a joint model to analyse longitudinal proportion and survival data. After transforming the longitudinal proportional data by a logit function, we adopt a partially linear mixed-effect model for it, in which nonlinear function of time is fitted via using B-splines technique and a centered Dirichlet Process Mixture Model (CDPMM) is specified for a general distribution of random effects. The survival data is assumed to a Cox proportional hazard model, the sharing random effects joint model is developed for the two types of data. Combining the Gibbs sampler and the Metropolis-Hastings algorithm, we propose a Bayesian Lasso (BLasso) method to simultaneously estimate unknown parameters and select important covariates. Simulation studies are conducted to investigate the finite sample performance of the proposed methods. An example from the MA.5 research experiment is used to illustrate the proposed methodologies.
Education for village ambulance drivers in patient evacuation

In order to support community health services, the Bandongan subdistrict government has provided each village with an ambulance unit. The available human resources, however, fall short in many ways. For this reason, the PPMT Unimma team is interested in educating village ambulance drivers so that their abilities can be improved. In cooperation with the Police Traffic Unit and Tidar Hospital, training and simulation are the method used to address this issue. As a result of this program, ambulance drivers now have more knowledge and expertise to evacuate the emergency patients.
Measurement-device-independent continuous variable quantum key distribution protocol operation in optical transport networks

Numerically, a theoretical analysis of the noise impact caused by spontaneous Raman scattering, four-wave mixing, and linear channel crosstalk on the measurement-device-independent continuous variable quantum key distribution systems is conducted.The analysis considers symmetry and asymmetry of system paths, as well as possible channel allocation schemes, for a quantum channel located in C-and O-bans.Mathematical models for MDI CV-QKD system and the contributing noises' description are provided.The secure key generation rate is estimated to state features of protocol operation when integrated with existing DWDM systems in the context of its implementation into telecommunication networks.
The Development of a Flibook-Based Interactive E-Module to Facilitate Sequences and Series Learning Process for 10th-Grade

The use of textbooks during the learning process makes it less interactive because textbooks only focus on presenting content and neglect the motivation and activities of their users. This study aims to describe the development process of a flipbook-based interactive E-module to facilitate the independent series and sequences learning process and to determine its validity, practicality, and effectiveness. The development of the E-module used the Plomp design research model, which consists of 3 phases: preliminary research, prototyping phase, and assessment phase. The quality of the developed E-module refers to valid, practical, and effective criteria. The results of this study are 1) in the preliminary research, an analysis of needs and problems, a review of the literature, and create a conceptual framework were conducted; 2) in the prototyping phase, designing and developing the E-module using Flip PDF Professional software and testing the validity of the content &amp; media were conducted, the content validity test scored 97.33% (very valid), the construct (media) validity test scored 91.16% (very valid); 3) in the assessment phase, practicality and effectiveness tests were conducted for 1 class of 10th-grade students, the practicality test scored 78.04% (practical), and the effectiveness test got an average N-gain score of 0.7 (high level of effectiveness). Thus, the developed E-module has valid, practical, and effective criteria to facilitate independent series and sequences learning processes.
Mobile devices of students in the school learning environment through lens of teacher assessment

Problem and goal. The teacher is a key figure in ensuring the constructive use of mobile devices by students in the learning process. His competencies and attitude to the introduction of innovations play a significant role not only in the educational results of schoolchildren, but also in the formation of their digital competencies. However, the use of mobile devices (hereinafter – MD) as educational tools is perceived by teachers rather skeptically. In this regard, the study of the problem of the mediation of teachers' ideas about the use of MD students at school by their own installations in the field of mobile technologies acquires particular relevance. The purpose of this article was to identify the connection between teachers' attitudes towards mobile technologies and their ideas about the use of MD by students in school. Materials and methods. Based on the conceptual framework of the technology acceptance model, a questionnaire was developed that identifies positive and negative attitudes towards mobile technologies, the perceived ease of their use, as well as ideas about the forms of use of MD by schoolchildren. The study involved 357 teachers aged 21 to 75 working in schools in St. Petersburg and the Leningrad Region. The study was implemented through an online survey based on the Google form. Results. The study showed that teachers are more likely to perceive MD as a distraction from learning activities. The factorial model of mediation of ideas about the use of MD by schoolchildren by teachers' attitudes towards mobile technologies was confirmed (SRMR=0.058; CFI=0.95; AGFI=0,91; RMSEA=0,044). Correlations were found between the teacher's experience of using MD and his attitudes towards mobile technologies in education. Conclusion. The study was found that teachers more often perceive MD as a tool for including schoolchildren in contexts external to the school. In addition, teachers who have positive attitudes towards mobile technologies in education are more likely to perceive MD as an educational tool. The experience of a teacher in using MD plays a significant role in the formation of positive attitudes of teachers in relation to mobile technologies and their ideas about the constructive forms of using MD by schoolchildren.
University media education in the digital epoch: methods and practices for training future communication professionals

Introduction. Digital transformation of educational technologies and student teaching methods is highly relevant for the university education of future media communicators – journalists, public relations and advertising specialists, since communication professionals actively use the opportunities of digital environment in their work. The purpose of the present research is identifying the digital competence level of communication-profile students, their preferences and reaction with respect to the methods of teaching core disciplines. Methods. The research was based on the method of scientific generalisation and theoretical analysis of the Russian and foreign scientific literature in the area of digital transformation of the media sphere, media education methodology, digitalisation of educational practices. A total of 150 undergraduate (Bachelor degree course) and graduate (Master degree course) students of the Higher School of Media Communications and Public Relations of the Institute of Humanities under Peter the Great St. Petersburg Polytechnic University (Russian Federation), majoring in “Advertising and public relations in sectoral areas”, “Advertising and public relations in the international domain”, took part in the survey and the experiment. Results. Despite the objectively high level of students’ approval of the role and potential of digitalisation of the educational process, 79.3% of the surveyed students of St. Petersburg Polytechnic University prefer the training format where the teacher uses innovative technologies; thus one can observe a situation of gradual introduction of innovative technologies in the educational practice. A low level of the students’ use of up-todate technologies, programmes and services in performance of their assignments was recorded: 6.6% of the total number of surveyed students used neural networks; 10.7% of the 100% respondents used 3D-modelling software in their learning activities; 24.7% of the students applied interactive map creation technologies in the learning process. The priority of incorporating digital technologies in the learning process is largely focused on teaching the students to work with corporate learning services and platforms of the university. As a recommendation, the use of in-demand digital technologies for application in the learning process (neural networks, block designers for generation of multimedia content, interactive map creation services, software for development of virtual tours, interactive posters, etc.) is proposed and substantiated. Conclusion. A number of recommendations have been formulated for higher educational institutions, research and pedagogical staff engaged in professional training of future media specialists, with regard for the need for more extensive use of digital technologies in the educational process.