Reviewerly/exHarmony huggingface dataset:
Becoming Playdocument-machine of Early Childhood Education and Care Teacher

The purpose of this study is to explore whether Play document are considered as machine and Playdocument-machine for Early Childhood Education and Care teachers. Accordingly, from October to December 2020, the process of making/sharing play documents with two teachers was held 10 times. Teachers encountered play documents and became Playdocument-machine. Teacher Moon became a play stop-machine~a play picture sense-machine~a play stop-machine. And the teacher, who became a Playdocument-machine, saw a child who gave an eye to an invisible play, listened to the child with her eyes, and made a play. In other words, teacher Moon has become a teacher who senses the child's play (learning) in detail. Teacher Heo became a changing form-machine~story writing-machine~play record accumulation-machine~a changing form-machine. Teacher Heo became a Playdocument-machine to understand children and teachers, feel children, and produce children's experiences. Teacher Heo became a teacher who felt the child's play (learning), supported, and listened to the child again. This study is meaningful in showing that it is the implementation of the curriculum that early childhood education and care teachers become Playdocument-machine.
Reading Comprehension And Academic Performance In English Among Grade Seven Learners

Most students struggle with their comprehension when it comes to reading. Learners are lacking the necessary reading skills in dealing with their problems in reading comprehension. The study determined the Reading Comprehension and Academic Performance in English among Grade 7 Learners. This study employed a Quantitative non-experimental-descriptive correlational research design where the researcher developed and validated instruments utilized to gather data from 195 Grade 7 learners purposively sampled. The findings of the study revealed that the hypothesis that there is no significant relationship between reading comprehension and academic performance in English of the Grade 7 learners of Balibago Integrated High School – Extension was rejected. The hypothesis confirmed that there is no significant moderator of Grade 7 learners’ profile to the reading comprehension and academic performance in English is rejected specifically in learners’ profile in terms of sex. However, in terms of socio-economic status, the null hypothesis stating that there is no significant moderator of Grade 7 learners’ profile to the reading comprehension and academic performance in English is accepted. After being tabulated, the research showed that in Grade 7 learners, there was a substantial correlation and effect between students’ reading comprehension and academic performance in English Grade 7. It was discovered that the greater the learners’ reading comprehension, the better the students’ academic achievement. The teacher may focus on the student’s reading comprehension because it indicated impacts to the learners’ academic success. Keywords: Academic Performance, English, Quantitative non-experimental-descriptive correlational research design Reading Comprehension, Reading Comprehension Skills
Task- Based Enrichment Material in English Towards the Enhancement of Vocabulary Knowledge

Learning English is very important nowadays, especially in this time of pandemic, if learners want to speak English fluently, the first step towards it is to have a rich and wide vocabulary. In today’s educational trend, we have learning modalities in which one of which is modular distance learning which requires teachers to prepare modules or enrichment materials for the students. Herewith, the study utilized an experimental and descriptive design. Fifty-five (55) Grade 10 students of Nagsinamo National High School who were enrolled during the School Year 2020-2021 were chosen to answer the 40-item pretest/ posttest multiple choice to determine the student’s level of vocabulary knowledge when it comes to connotation, denotation, word formation, and context clues. The developed material has undergone validation by the same number of respondents as to purpose, meaningfulness, responsiveness, usefulness, and presentation. The study used mean, standard deviation, frequency, percentages, and Pearson product-moment correlation as statistical treatments. The result showed that most of the respondents are at in intermediate level in their vocabulary knowledge. The performance of the respondents in the pre-test and post-test was found to have a significant difference. Furthermore, the respondents perceived the task-based enrichment material in terms of purpose, meaningfulness, responsiveness, usefulness, and presentation as very acceptable. It was also observed that there is a moderately significant relationship between the level of acceptability of the enrichment material and the level of comprehension and has a high correlation. Considering this, teachers are encouraged to use the task-based enrichment material integral to the subject area that needs enhancement to vocabulary knowledge. The school administrators may encourage their respective schools for the integration of task-based vocabulary enrichment material in presenting lessons or developing instructional materials. Moreover, further study is suggested using the developed instructional material through experimental methods and/ or a bigger population to verify the result of the study. Keywords: task-based, vocabulary knowledge, purpose, meaningfulness, responsiveness, usefulness, presentation
Voltaic Cell Practical Guide Application Based on Mobile-Augmented Reality to Improve Student's Understanding Concepts

This study aims to analyze the practicality, feasibility, and effectiveness of learning media as an augmented reality-based practicum guide application for students' conceptual understanding of voltaic cells. The application development used the Thiagarajan development method with the 4-D model (Define, Design, Develop, Disseminate), but it was sufficiently developed to be 3-D. A limited trial with seventeen Al-Falah Senior High School students was conducted in August 2021 on students who had been given voltaic cell material. Pretest-posttest sheets, validation-review sheets, and student response questionnaires were used as research instruments. The data analysis technique used quantitative description. Pretest and posttest results were analyzed based on normality, paired sample test, and N-gain. The results of this study indicated that the developed application could improve students' understanding of concepts. The application validation results obtained a content validation score of 94%, a construct validation score of 86%, a presentation-related validation score of 96%, and a language-related validation score of 90%, indicating that it was very valid. The application was practical because the average percentage of responses was 92%. Based on the t-test with a significance value of 5% that yielded the Sig value, the application was reported to be very effective. 0.00 0.05 (2-tailed) and an N-gain analysis score of 0.83 &gt; 0.7.
IMPROVING HEALTH LITERACY ABILITY FROM DIGITAL POP UP BOOK MEDIA FOR EARLY CHILDREN

Early childhood education level requires readiness from various elements, one of which is through a literacy program health that aims to help children understand the importance of behavior clean and healthy living (PHBS). The PHBS referred to is in the form bring supplies and do not share food as an effort to prevent Covid-19 at school. This research was carried out using the development method refers to research and development steps according to Borg &amp; Gall (1983). The research objective is to develop pop up book media digital-based to improve health literacy skills in children aged 4-6 years. Product trial results consisting of media expert trials, substance experts trials, prospective users trials and tests field. The media expert test results obtained 85.83%, the substance expert test obtained the average 88.94%, and the test results for prospective product users obtained an average of 86.98%. it can be concluded that ABBA's pop up book media is very good and unnecessary revised. The results of the product effectiveness test obtained an average pre-test score (XB) of 1682 and the average post test score (XA) is 1811 when compared to the t table value at a significance level of 5% then 0.004 &lt;0.05 so it can be concluded that pop up book media can improve health literacy skills in children aged 4-6 years.
Developing a Predictive Information System for Determining the Prognosis of HIV and Tuberculosis Co-Infection in Incarcerated Individuals

The research describes the development of the forecasting information system that can predict the outcome of a disease in inmates with HIV-associated tuberculosis. The aim of the research is to develop an additional high-precision diagnostic criterion giving the possibility of the timely correction of diagnostic, treatment and organizational measures for patients with HIV and tuberculosis co-infection that helps to improve the quality of medical care. The research material is based on the data from clinical cases of patients with HIV and tuberculosis co-infection who were hospitalized in a tuberculosis hospital providing specialized medical care to inmates from 2012 to 2018. (367 people). The study methodology was developed in several stages with the use of the methods of system analysis and mathematical modeling (logical-statistical method of optimally reliable partitions, the method of analysis of hierarchies, artificial neural network, methods of statistical grouping). The result of a complex multi-stage research makes possible the development of the prognostic index forecasting outcome of HIV-associated tuberculosis in prisoners. For the automated calculation of the developed index a software package was created. Interpretation of the received data allows timely correcting of diagnostic and treatment tactics in order to improve the quality of medical care and reduce the hospital mortality rate. The developed information system does not require complex and expensive diagnostic measures, it is easy to use and can be suggested to use as a screening method.
Using Augmented Reality Flashcards To Improve English Vocabulary Mastery For Children Aged 4-5 Years

&lt;em&gt;Mastery of English vocabulary is an important part of early childhood English learning in the industrial revolution 4.0 era. The use of digital learning media such as augmented reality flashcards is also needed as a way to teach English to early childhood who are now accustomed to the use of advances in digital technology. The purpose of this study was to improve the mastery of English vocabulary in children aged 4-5 years by using augmented reality flashcards. This research was conducted in August-September 2022. This research is a classroom- action research using Kurt Lewin's model which consists of 3 cycles. Each cycle consists of planning, acting, observing, and reflecting. Data collection techniques use observation and documentation. Data analysis uses the Miles and Huberman model for qualitative data and simple statistics (percentages) for quantitative data. The subjects of this research are all children aged 4-5 years at Marsudisiwi Kindergarten, Laweyan Surakarta, totaling 20 children. The results show that there was an increase in children's English vocabulary mastery from cycle 1 by 35% and increased to 85% at the end of cycle 3 for the very well-developed category (BSB). The increase was also seen from the number of vocabulary that the children acquired, the correct pronunciation of the given vocabulary, and the ability to distinguish the meaning of one word from another.&lt;/em&gt;
An Overview of GANet - Guided Aggregation Net for End-to-end Stereo Matching

Guided Aggregation Net for End-to-end Stereo Matching (GANet) is a stereo matching method that uses Deep Neural Networks (DNN) to compute a disparity map from a pair of images of a scene.As other classic and DNN stereo methods, it follows the traditional stereo steps: dense features are extracted from both images, the cost of matching the features at different disparities is organized in a Cost Volume (CV) which is regularized by aggregation and local filtering and finally a map with minimal cost is derived from the CV.In GANet, the aggregation of the CV is done by a Semi-Global Guided Aggregation layer (SGA) which implements a differentiable approximation of the well known Semi-Global Matching (SGM) algorithm.SGA is followed by a Local Guided Aggregation layer (LGA) that performs a local filtering.SGA and LGA weights are generated by an auxiliary guidance subnet fed with the original reference image and its extracted features.This article presents an overview of GANet.An online demo, running on CPU, is made available.
Pengaruh Ekstrakurikuler Pramuka dalam Mengembangkan Karakter Jujur dan Disiplin pada Siswa MTsN 1 Kota Payakumbuh

The problem that occurs in students is the lack of self-discipline and honesty. The aim of the study was to see how much influence scout extracurriculars had in developing honest and disciplined characters in students at MTsN 1 Payakumbuh City. The quantitative research method is a regression type. The population in this study were 320 students of class VIII MTsN 1 Payakumbuh. The sample in this study were 70 people. In taking samples, the authors use random sampling technique. Random sampling technique is a sampling technique in which the population is randomized. Data was collected using a questionnaire instrument with a Likert scale type. Data analysis techniques used the normality test, linearity test, and hypothesis testing using the Wilcoxon test, correlation test using the Spearmen rho test with the help of the SPSS 25 application. There were 70 positive data (N) meaning there was an increase, the mean of rank was 35.50 while the sum of rank of 2485.00 is 0 so that it can be said that there is no equal value between X and Y1. From the explanation above it can be said that there is an honest increase, there are 70 positive data (N) meaning there is an increase, the mean of rank is 35.50 while the sum of rank is 2485.00 is 0 so it can be said that there are no equal values between. From the explanation above it can be said that there is an increase in discipline. the Wilcoxon test was carried out to find out the value obtained by a significance value of p-value of 0.000. Based on the applicable provisions, it is known that the results of the Wilcoxon Sig. p-value 0.000 &lt;α (α =0.05) which means that Ha is accepted. Based on the results of the Wilcoxon test above, it can be concluded that Ha is accepted with the proposed hypothesis.
IMPLEMENTATION OF TWO LANGUAGE CHATBOT WEB TO FIND INFORMATION ON BATIK USING THE ARTIFICIAL NEURAL NETWORK MODEL

Information technology plays an important role in the progress of a country in order to disseminate information massively and make it easier for the public to obtain information. Currently, the development of information technology continues to innovate, such as with the existence of artificial intelligence (AI) technology. This research will discuss AI technology, namely the BatikInd chatbot with the artificial neural network (ANN) method, which aims to make it easier for people to find information about the types of batik that, exist in all regions of Indonesia. The design of the ANN method for making chatbots uses hundreds of sentences to be processed into a database of information about the types of batik and explanations about the batik you want to find. Database processing with epochs reaching 200 produces an accuracy rate of 1.0 (100%) which means the accuracy rate is very good and the error rate reaches 0.03 (0%) which means the error rate is very low. The results of a very good level of accuracy and a very low error rate indicate that this AI can function properly and is feasible to use. It is hoped that with information technology like this, it will make it easier for people to find information about batik and can increase people's literacy and knowledge about batik in all regions of Indonesia.
WEB-BASED LPG DISTRIBUTION MANAGEMENT INFORMATION SYSTEM AT PT BOY BAGUS WINDI

PT Boy Bagus Windi is one of the LPG distributors in the Langkat Regency. Because Microsoft Excel is still used to hold distribution data, financial data, sales and purchase data, and personnel data, PT. Boy Bagus Windi faces a number of difficulties managing his data. The problem that businesses run into is that when they need to look for data, it takes a while since they have to access each folder or page in Microsoft Excel individually. Due to the current rapid growth of information technology, many businesspeople conduct their everyday activities online. In order to administer its business management information system, a company is compelled to adopt a web-based information system. Therefore, PT. Web-based Boy Bagus Windi developed a management information system. This system is intended to make it simpler for businesses to search data and handle human, financial, and products data management in one web for a more streamlined and orderly arrangement.&#x0D; &#x0D;
On the Current State of Query Formulation for Book Search

Formulating a well-defined search query is one of the prominent success factors in getting relevant search results on any search system. However, no latest review or survey exists in the literature that studies query formulation from the perspective of book retrieval. The authors fill this literary gap by studying query formulation in light of research publications from 2007-22.
VR Computer Role-Playing Game Using Reinforcement Learning

This paper shall discuss the process of making one of the first Computer Role-Playing Virtual Reality Games that take advantage of the underutilized hand-tracking technology provided by the Oculus Quest 2 headset. The game takes place in two separate fictional dystopian worlds. The player will have to navigate and explore to discover its secrets while trying to survive against enemies that employ a reinforcement learning algorithm to stop the player. Through extensive experimentation and fine-tuning of various implementation aspects, including positive and negative rewards, hyper parameter values related to Proximal Policy Optimization (PPO), and the number of environment observations, our agent achieved highly favorable outcomes in terms of general machine learning model efficiency indicators. As explained in the methodology section, the model's behavior aligns with the desired behavior, achieved by implementing three rays at different angles to determine some of the rewards. These results validate the effectiveness and success of our approach in training the agent to exhibit desired behaviors and achieve desirable outcomes.
Research on high-speed processing of array ultrasonic signal based on FPGA

In array ultrasound imaging, because the software needs to process a large amount of raw data, it is not easy to improve the imaging rate of the system. This paper uses FPGA to realize the high-speed processing of ultrasound images based on array ultrasound transducers with 64 array signals intercepted in parallel. After that, it performs histogram equalization on the image in the FPGA, and finally sends the processed result to the computer for display. This study can significantly improve the array ultrasound signal processing rate, thereby increasing the continuous imaging frame rate of the imaging system. In addition, when designing the pixel value accumulation module, the system innovatively uses a dedicated RAM instead of a counter array for statistics, which can reduce hardware resources.
Insulator detection of Yolov5 fused with GBAM and α-IOU

Insulator fault of power line is easy to lead to transmission system fault, so insulator detection system is widely used. Based on this, an improved detection method for Yolov5 is proposed, this method constructs a new network framework through Yolov5. First, the Yolov5 loss function CIoU is improved, and the generalized power transformation is introduced into the existing CIoU loss to optimize the boundary frame regression and improve the accuracy of the boundary frame regression. Then, GBAM attention mechanisms are introduced in each C3 module of the Yolov5 backbone to reduce information dispersion and amplify global interaction features. Finally, create a custom damaged insulator data set. The results show that the network is more accurate and faster than the control group, with an accuracy of 97.42% for insulator defect detection and 4.01 images per second, which is good efficiency and practicality in insulator defect detection.
Chatting About Data - Interacting with Voice Interfaces to Engage with Election Panel Data

The importance of data is increasing and so is the use of voice-interface-chatbots. While tasks that can be handled by chatbots are still relatively simple, analysing data can be a difficult task for non-experts. The aim of the research was to show how an interaction with a voice-interface-chatbot to explore data can work. In a preliminary study we investigated what questions are asked by people when looking at tabular data. We then conducted a Wizard of Oz study with a voice-interface-chatbot that can answer questions about the National Council elections with text or graphs. In 15 interviews 1235 messages were exchanged, of which 159 were categorized as information requests. Our study shows that conversational interfaces should have the ability to include past conversation history in the evaluation of questions in order to encourage user engagement. We present a typology of questions and provide in-depth insights to inform the development of chatbots for human data interaction.
LAD: an application design model to support the analysis of large-scale personal data collections generated by lifelogging

Abstract Lifelogging is a form of personal data collection which seeks to capture the totality of one’s experience through intelligent technology and sensors. Yet despite notable advancement in such technologies, there remain persistent challenges to developing interactive systems to analyse the types of large-scale personal collections often generated by lifelogging. In response to this, we present the Lifelog Application Design (LAD) model which is intended to address these challenges and support the design of more novel interactive systems that may target a broader range of application use cases. The model is deliberately structured to remain impartial to the specific personal data, technology platform, or application criterion, to provide maximum utility across the domain. We demonstrate this utility by exploring two case studies and a retrospective analysis of VRLE, a real-world application prototype developed to examine the potential of large-scale personal data retrieval in virtual reality. This work is based on the accumulation of insights garnered from involvement in a number of collaborative lifelogging projects over the past decade. It is our goal to encourage future researchers to utilise the LAD model to support the design and development of their own application prototypes and further solidify the model’s contribution to the domain as a whole.