Reviewerly/exHarmony huggingface dataset:
Development of Lectora Inspire Application-Based Interactive Media on Theme 6 Sub-theme 2 "Energy Change" Grade III Students of SD Negeri 101788 Marindal T.A 2022/2023

This study aims to develop learning media and determine the feasibility, practicality, and effectiviness of interactive media. This research is a development research (Research and Development) using the ADDIE development model (Analysis, Design, Development, Implementation, Evaluation). The subjects of this research are third grade students and the object of this research is interactive media based on Lectora Inspire. The results showed that the validation by Material Experts in stage I before the revision obtained a percentage of 60% in the “Valid Enough” category then in stage II it obtained a percentage of 92% in the “Very Valid” category and the results of media validation in stage I before being revised obtained a percentafe result of 51% in the “Valid Enough” category then instage II obtained a percentage result of 96% in the “Very Valid” category. Practicality tests by education practitioners obtained a percentage of 89% in the “Very Practical” category. The results of the media effectiviness test through the pre-test obtained an average of the 59 categories of “Less” with the through the pre-test obtained an average of 84 categories of “Complete”. It can be concluded that the product developed is very feasible, practical, and effective for use in learning in elementary schools.
The Role of Interpersonal Communication in Personal Development and Lifelong Learning for Employees

This study aims to analyze the role of interpersonal communication in individual development and lifelong learning. Literature study and bibliometric techniques were conducted to explore the roles of interpersonal communication, individual development, and lifelong learning. The results of the research show that interpersonal communication is important in the development of individual employees, both personal and professional. Effective interpersonal communication facilitates collaborative learning, improves communication skills, and forms strong working relationships. This research is expected to provide practical recommendations that can be used by organizations in improving communication to employees to achieve maximum organizational goals through employee development
The Effect of the CIRC (Cooperative Integrated Reading and Composition) Model on Student Learning Outcomes Theme 6 Class III SDN 106158 Pematang Johar

The purpose of this study was to find out how the effect of learning using the CIRC (Cooperative Integrated Reading and Composition) model on student learning outcomes in class III theme 6 SDN 106158 Pematang Johar. This research is a quantitative study with a quasi-experimental methodology (Quasi Experimental Design). The design used was the Pretest-Posttest Control Group Design. The subjects in this study were 20 students in class III A and 24 students in class III B. Data collection techniques in this study used tests, observation, documentation and interviews. This study uses quantitative data analysis techniques. Data on student learning outcomes were collected using the theme 6 learning outcomes test which was given using the CIRC (Cooperative Integrated Reading and Composition) learning model and using conventional. Data analysis using descriptive and inferential analysis techniques. The study results showed that the posttest average score of student learning outcomes using the CIRC (Cooperative Integrated Reading and Composition) model was 83.40 and that of the control class was 72.50. Based on the t-test conducted on the experimental class posttest and control class posttest values, a t_count of 3.6340 and t_(table) 2.0810 is obtained at a significance level of 0.05. The t_table value can be seen in the attachment. Because t_count &gt; t_table is 3.6340 &gt; 2.0810 then Ho is rejected and Ha is accepted which states that there is an influence of the CIRC (Cooperative Integrated Reading and Composition) learning model on student learning outcomes in theme 6 sub-theme 4 learning 4 class III SDN 106158 Pematang Johar.
Gaussian process deconvolution

Let us consider the deconvolution problem, i.e. to recover a latent source <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>x</mml:mi><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mo>⋅</mml:mo></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:math> from the observations <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mtext mathvariant="bold">y</mml:mtext></mml:mrow><mml:mo>=</mml:mo><mml:mo stretchy="false">[</mml:mo><mml:msub><mml:mi>y</mml:mi><mml:mn>1</mml:mn></mml:msub><mml:mo>,</mml:mo><mml:mo>…</mml:mo><mml:mo>,</mml:mo><mml:msub><mml:mi>y</mml:mi><mml:mi>N</mml:mi></mml:msub><mml:mo stretchy="false">]</mml:mo></mml:math> of a convolution process <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>y</mml:mi><mml:mo>=</mml:mo><mml:mi>x</mml:mi><mml:mo>⋆</mml:mo><mml:mi>h</mml:mi><mml:mo>+</mml:mo><mml:mi>η</mml:mi></mml:math> , where <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>η</mml:mi></mml:math> is an additive noise, the observations in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mtext mathvariant="bold">y</mml:mtext></mml:mrow></mml:math> might have missing parts with respect to <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>y</mml:mi></mml:math> , and the filter <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>h</mml:mi></mml:math> could be unknown. We propose a novel strategy to address this task when <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>x</mml:mi></mml:math> is a continuous-time signal: we adopt a Gaussian process prior on the source <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>x</mml:mi></mml:math> , which allows for closed-form Bayesian non-parametric deconvolution. We first analyse the direct model to establish the conditions under which the model is well-defined. Then, we turn to the inverse problem, where we study (i) some necessary conditions under which Bayesian deconvolution is feasible and (ii) to which extent the filter <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>h</mml:mi></mml:math> can be learned from data or approximated for the blind deconvolution case. The proposed approach, termed Gaussian process deconvolution, is compared to other deconvolution methods conceptually, via illustrative examples, and using real-world datasets.
Novel Object Captioning with Semantic Match from External Knowledge

Automatically describing the content of an image is a challenging task that is on the edge between natural language and computer vision. The current image caption models can describe the objects that are frequently seen in the training set very well, but they fail to describe the novel objects that are rarely seen or never seen in the training set. Despite describing novel objects being important for practical applications, only a few works investigate this issue. Furthermore, those works only investigate rarely seen objects, but ignore the never-seen objects. Meanwhile, the number of never-seen objects is more than the number of frequently seen and rarely seen objects. In this paper, we propose two blocks that incorporate external knowledge into the captioning model to solve this issue. Initially, in the encoding phase, the Semi-Fixed Word Embedding block is an improvement for the word embedding layer that enables the captioning model to understand the meaning of the arbitrary visual words rather than a fixed number of words. Furthermore, the Candidate Sentences Selection block chooses candidate sentences by semantic matching rather than probability, avoiding the influence of never-seen words. In experiments, we qualitatively analyze the proposed blocks and quantitatively evaluate several captioning models with the proposed blocks on the Nocaps dataset. The experimental results show the effectiveness of the proposed blocks for novel objects, especially when describing never-seen objects, CIDEr and SPICE improved by 13.1% and 12.0%, respectively.
Reading Success in the Early Primary Years: A Teacher’s Guide to Implementing Systematic Instruction

Click to increase image sizeClick to decrease image size AcknowledgmentsThe authors would like to express their heartfelt appreciation and gratitude to the Lembaga Pengelola Dana Pendidikan-LPDP (Indonesia Endowment Fund for Education) under the Ministry of Finance of the Republic of Indonesia for sponsoring the author master’s degree as well as for supporting this publication and collaboration.Additional informationNotes on contributorsSyukron FajriansyahSyukron Fajriansyah, Jl. Dr. Setiabudhi No. 229, Bandung 40154, West Java – Indonesia. He is a postgraduate student in English language education at Universitas Pendidikan Indonesia, Indonesia. His research interests include English teaching methods, Teaching technology, E-Learning, English for young learners, and Early education.Alfin AnwarAlfin Anwar, Jl. Cibabat No. 32A, Cimahi Utara 40513, West Java – Indonesia. He is a postgraduate student in curriculum development at Universitas Pendidikan Indonesia, Indonesia. His research interests include curriculum studies, teaching development, E-Learning, and Early education.
Utilization of Digital Libraries as a Learning Resource in Improving the Quality of Student Learning at Public Middle School 2 West Seram

This study aims to describe the use of digital libraries as a learning resource in improving the quality of student learning at SMP Negeri 2 Seram Barat. This study uses descriptive qualitative research which aims to find out how the benefits of digital libraries as learning resources in improving the quality of student learning as well as supporting and inhibiting factors in describing the use of digital libraries as learning resources in improving the quality of student learning at SMP Negeri 2 Seram Barat. data collection techniques are used by observation, interviews, documentation studies, the results of this study indicate that there are problems in the use of digital libraries as learning resources in improving the quality of student learning
The Use of AIH Techniques for the Literacy Development of Grade 5 Students at Sukarasa State Elementary School

The School Literacy Movement is a literacy movement in educational institutions such as schools whose activities emphasize the activity of reading information by students to gain knowledge. In fact, literacy activities are still seen as reading activities only. So that literacy is still less attractive to students. One of the contributing factors is the monotonous strategy used. Many techniques can be used in reading and writing literacy activities. One of the literacy activity techniques used by grade 5 at SDN Sukarasa is the AIH (Reason, Content, and Wisdom) technique. Literacy activities with this technique are carried out by writing a review regarding the reasons for choosing reading material, the contents of the reading, and the lessons from the reading. This study aims to determine the use of AIH techniques on students' literacy development. The methods used in this research are interviews and documentation. The results showed that literacy activities using the AIH technique improved students' reading skills, but not their writing abilities.
Estimation Age of Bloodstain Using Smartphone Application on Colorimetric Analysis

Advances in technology should be able to help the work of forensic experts, especially in solving criminal crime cases. Estimated age of bloodstains is an important factor in forensic analysis. This study aims to identify the age of bloodstains using the colorimetric method and observe changes in the color of bloodstains on the surface of the material based on the results of photos using a smartphone camera. This study is an experimental study with a control time series design, where bloodstain samples are observed in a certain period longitudinally. Bloodstains were dripped on five different material surfaces, namely ceramics, glass, cardboard, paper, and newspapers, then observations and taking photos of bloodstains for 72 hours. Estimation of the age of bloodstains using artificial neural tissue by the backpropagation method. The results showed that the artificial neural network that was built was able to predict the age of bloodstains based on time classification. In addition, there is a significant influence of the color of bloodstains on the five surfaces of ceramic, glass, cardboard, paper and newspaper materials, namely. 63.7%; 84.3%; 84.6%; 68.2% and 86.6%.
A Study of Issues and Tasks on Evidence-Based Education Policy from the Perspective of the Politics of Education in the Post-COVID Era

본 연구는 교육 부문에서 증거기반 정책의 비판적 쟁점 검토가 부재하다는 문제의식 하에, 증거기반 정책의 이론과 실제를 탐색하고 포스트코로나 시대의 학력 저하와 디지털 전환 등 주요 교육 의제에 대해 교육정치학적 관점에서 비판적인 쟁점을 제시하였다. 학력 저하 문제와 관련하여서는 평가 정책의 정치적 맥락성, 증거의 불확실성과 권력의 오용, 당면한 교육 정책 환경과 평가 간의 불합치 문제 등의 쟁점이 제시되었으며, 디지털 전환 의제에 대해서는 유관 정책의 맥락성과 구체성, 데이터 권력의 개입과 의사결정 판단의 예속, 교육의 데이터화로 인한 공공 가치 저해 등이 쟁점으로 제시되었다. 도출된 쟁점들을 바탕으로 증거기반 교육정책을 위한 정책적, 학술적 측면의 과제를 제시하였다.This study explores the theory and practice of evidence-based policy and presents critical issues from an educational political perspective on major educational topics such as declining academic achievement and digital transformation in the post-COVID era. The study highlights the lack of critical scrutiny of evidence-based policies in the education sector. Regarding the problem of declining academic achievement, the study identifies issues such as the political context of achievement assessment policies, the uncertainty of evidence and abuse of power, and the mismatch between the current educational policy environment and achievement assessment policies. Regarding the issue of digital transformation, the study presents issues such as the context and specificity of relevant policies, the intervention of data power and the subordinate decision-making, and the devaluation of public value due to the datafication of education organization. Based on the critical issues identified, the study suggests policy and academic tasks for effective evidence-based education policy.
Increasing Student Learning Motivation with the Application of Ice Breaking in Grade IV of State Elementary School 262 Panyileukan Bandung City

The Ice breaking method itself is an activity applied by everyone to attract the focus of attention and melt the atmosphere in the room into its original state, which is an excited state (conducive again). The purpose of this study was to find out how much the influence of ice breaking in increasing learning motivation in students. This study used a quality method where researchers used observation methods on grade V students in one of the elementary schools in the Panyileukan area. Based on the results of the study, it can be concluded that ice breaking is very influential in increasing student learning motivation.
Development of TUACA Flashcard Media (Learning to Read) to Improve the Reading Skills of Grade 1 Elementary School Students

The reading ability of class I students at SDN 2 Candisari is still low. Observation results stated that 60% of students still classified as having below average reading skills and lack of use of learning media. The research objective was to develop TUACA flashcard media and test its validation level to improve students' reading skills in grade I. This research used the RD method and the ADDIE development model. The instruments included material and media validation questionnaires, validation of teacher responses, and an initial grade I reading ability test by applying qualitative descriptive analysis techniques in the form of percentages according to eligibility categories. Material validation results obtained a percentage of 75% (high category) and 95.83% (very high category) for media validation. The results of the validation of the class I teacher's response obtained a percentage of 97.32% (very high category). The average result of the analysis of the initial reading ability test before the TUACA flashcard media was applied obtained a percentage of 55% (enough category) and after the application of the media increased to 85% (very high category). Thus the TUACA flashcard media is feasible and can be used to improve the reading skills of grade I SD students.
Entrepreneurship Education as a Subject of Research

On April 5, 2023 a round-table discussion on “Entrepreneurship Education as a Subject of Research” was organized by the Editorial Board of the “Higher Education in Russia” Journal with the Moscow University for Industry and Finance “Synergy” in the framework of the International Scientific Congress “The Role of Business in Society Transformation – 2023”. Entrepreneurship education formation is a focus of interest as for scientists, and for practitioners as well all around the world. During a round-table there were discussed the actual research issues required attention of academic society. Research trends were defined and connected: 1) with values, identity and moral dimension; 2) with mentors’ experience; 3) with students’ experience.
Evaluation of the Implementation of the Payroll Accounting System at PT Astra International Daihatsu Martadinata

Payroll Accounting System is a system designed to handle the calculation of salaries and wages of employees and their payments. PT Astra Internasional Daihatsu Martadinata is a company engaged in the automotive sector, selling vehicle products and providing repair services. This company has implemented a computerized payroll accounting system. The purpose of this study is to determine the application of the payroll accounting system at PT Astra International Daihatsu Martadinata, as well as its comparison with existing theories. The method used is descriptive qualitative. The results of the study show that a computerized payroll accounting system is quite helpful for companies in recording attendance lists, and payment of salaries is made through bank transfers to each employee's account, resulting in cost savings because the company no longer uses salaries.
Web Training by Using HTML and CSS to Attract Interest in Learning Programming for High School Students

In digital field, the need for programmers is increasing, but quality resources in the field of programming are still lacking. Many schools, in this case, high schools, have not taught programming in the school curriculum. This training is given to attract students' interest in learning programming. The chosen method is to teach how to make front-end views of web pages. This method was chosen because web programming is easier to learn and participants can see the results displayed live. From the activities that have been carried out, the participants were very enthusiastic about participating and asked for further training. It can be concluded that this training succeeded in attracting the interest of participants, namely high school students, to learn programming, specifically web programming.
Analysis and Design of Incoming and Outgoing Cash Accounting Information Systems at Kilometer 28 Laundry using the Pieces and Waterfall Methods with Unified Modeling Language (Uml) Tools

This research focuses on helping Laundry Kilometer 28 in recording cash in and cash out transactions which are still manual so it is not efficient because of the increase in customers. Researchers conducted an analysis using the PIECES method to find out how the system is running, what are the system deficiencies and what the system needs. The researcher designed a system for recording incoming and outgoing cash at Laundry Kilometer 28 using the waterfall method with UML (Unified Modeling Language) tools. Methods of data collection in the form of interviews and direct observation to analyze the Kilometer 28 Laundry business process to owners, cashiers and regular customers. The results of this study are system design with use case diagrams, activity diagrams, class diagrams and sequence diagrams compiled with draw.io, Microsoft Visio Drawing which is then visualized for its interface with Microsoft Power Point.
Governance for Handling Fake News: Structural Modeling Approach

&#x0D; The primary objective of this study was to assess and evaluate the impact of government intervention in countering Internet-based fake news that threatens national security. The research used statistical methods and a survey approach to collect data from a sample population. The sampling technique employed was simple random sampling, while data collection involved conducting interviews with selected individuals who possessed insights from relevant organizations such as the national police, BSSN, Kemenkominfo, and BIN. A statistical method called Partial Least Square (PLS) model using the WarpPLS package was applied to analyse the gathered data. The study's findings demonstrated a strong association between effective governance in combating the dissemination of fake news and the enhancement of national resilience. Consequently, it was concluded that implementing robust and strategic governance practices is crucial for fostering national resilience.
Synthesis of digital and humanitarian technologies in the problems of managing the fashion industry transformation processes

The study is devoted to the features of the fashion industry transformation into a sustainable ecological ecosystem. The sociocultural sphere of the fashion industry was chosen for analysis, since this sphere directly depends on the public's attitude to the fashion industry cyclical model of functioning. The relevance of the choice is confirmed by the lag in the sociocultural factors study from the results of technological, artistic, aesthetic and environmental aspects research. The problem is exacerbated by the lack of a single center for managing the socio-cultural sphere in a heterogeneous environment of the ecosystem. The purpose of the study is to find ways to regulate the fashion industry socio-cultural sphere in the in conditions of a common control center absence. The concept of regulation the fashion industry socio-cultural sphere was proposed based on synthesis the digital and humanitarian technologies in the process of its transformation into a sustainable ecological ecosystem. Regulation implemented by generation of stimulating impacts on the independent participants of the cyclic process in order to coordinate their behavior for achieving the common goals of the system. For the formation of influences, humanitarian technologies were chosen that able to influence on the behavior of the process operators. The list of digital humanities curricula of iSchool educational network was chosen as a data source. To create incentives, a techno-humanitarian complex was formed, consisting of filtered and harmonized digital humanities and ecological fashion design. It is shown that this complex is able to influence on the socio-cultural components of the fashion industry innovative potential by stimulating of the ecosystem subjects behavior. The possibility of implementing the proposed concept demonstrated by developing a functional model of fashion industry techno-socio-cultural system with the participation of the techno-humanitarian complex