Reviewerly/exHarmony huggingface dataset:
Peningkatan Keterampilan Menulis Siswa Menggunakan Media Koran Bergambar

Efforts to Improve Students' Writing Skills Through Illustrated Newspapers for Grade 5 SDN 1 Metenggeng. Grade 5 students at SDN 1 Metenggeng, this study aims to improve writing skills. The research method used is classroom action research (PTK) with various models. This can be seen from the results of the class action with Kurt Lewin's PTK model, students enthusiastically followed the instructions when the class action was carried out through the use of illustrated newspapers. In addition, before carrying out the lesson, take advantage of comic book media for lesson plans for class 5 topic 2 (clean air for health). This allows students to develop their narrative writing skills. The results of the research show that to draw conclusions by analyzing the characteristics through the main idea of ​​a text in a structured and what it is.
HUBUNGAN POLA ASUH ORANG TUA DAN INTERAKSI TEMAN SEBAYA TERHADAP KECANDUAN GAME ONLINE PADA REMAJA

Parenting style and peer interactions influence problems ini adolescent because parents and peer play an important role shaping adolescents attitudes and behavior. Adolescence is a period in which a person's secondary sexual signs have developed and reached sexual maturity. The aim of this research is to determine the relationship between parenting patterns and peer interactions on online game addiction among teenagers in the Sido Mulyo sub-district area, Bengkulu City. This type of research is descriptive correlation with a cross sectional approach. The population in this study were all teenagers who were addicted to playing online games in the Sidomulyo Village area, Bengkulu City. The sampling technique used a total sampling technique of 30 people. The research results showed that the parenting patterns of parents of teenagers who were addicted to online games were democratic with 10 respondents (33.3%), authoritarian with 5 respondents (16.7%) and permissive with 15 respondents (50.0%) and there was a relationship parental care for online game addiction among teenagers in the Sido Mulyo Subdistrict, Bengkulu City with a p value = value 0.028 &lt; α. From the research results, it was found that peer interaction was in the low category of 3 respondents (10.0%), the medium category was 10 respondents (33.3%) and the high category was 17 (56.7%) and there was a relationship between peer interaction and online game addiction in teenagers. in the Sido Mulyo Village Area, Bengkulu City with a p value = value 0.032 &lt; α. It is recommended that Sido Mulyo, Bengkulu, collaborate with the Community Health Center in the area to provide health education to teenagers about online game addiction, so that they can understand the impact of playing online games for too long.
Rancang Bangun Buka Kunci Pintu Menggunakan RFID Berbasis Atmega 328 di Master Control Room Ratih TV Kebumen

Most of the workspace door locks use a manual locking system so that it lacks security. The safety of the master control room is a priority, because in the room there are important tools and documents.Based on these problems, the authors made a door lock unlock design using Atmega328-based RFID. This research method is: R &amp; D. design and construction of door unlock using Atmega 328 based RFID. E-ID card attached to the door serves as an input to open the lock. This product is expected to increase safety when using the workspace.
Implementation of a Noise Filter for Grouping in Bibliographic Databases using Latent Semantic Indexing

Clustering algorithms can assist in scientific research by presenting themes related to some topics from which we can extract information more easily. However, it is common for many of these clusters to have documents that have no relevance to the topic of interest, thereby reducing the quality of the information. We can manage the reduced quality of information of clusters for a bibliographic database by dealing with noise in the semantic space that represents the relations between the grouped documents. In this work, we sustain the hypothesis of using the Latent Semantic Indexing (LSI) technique as an efficient instrument to reduce noise and promote better group quality. Using a database of 90 scientific publications from different areas, we pre-processed the documents by LSI and grouped them using six clustering algorithms. The results were significantly improved compared to our initial results that did not use LSI-based pre-processing. From the perspective of individual performance of the algorithms demonstrating the best results, CMeans was the one that got the highest average gain, with approximately 25%, followed by K-Means and SKmeans, with 17% each; PAM, with 16.5%; and EM, with 15%. The conclusion is that Latent Semantic Indexing has proven to be a helpful tool for noise reduction. We recommend its use to improve the cluster quality of bibliographic databases significantly.
Pembangkit Listrik Tenaga Surya Rooftop untuk Perumahan di Pulau Bangka

Rooftop Solar Power Plants are an alternative option for environmentally friendly power plants. The application of this technology for the electricity needs of residential areas can be done with the Solar Home System (SHS). One of the roofs that can be used for PV rooftops is the roof of the house in D'Rich Arasel housing with a roof area of 65.5 m². PV Rooftop in D'Rich Arasel housing is designed to meet daily electrical energy needs. The PV rooftop design uses 2 systems, system 1 is a PV mini-grid system based on a daily load that uses 22 units of 250 wp solar panels, 17 units of 150Ah batteries, 1 unit of 3 kW inverter, and 1 unit of solar charge controller 250 A which produces 4077 kWh/year at an investment cost. of Rp. 318,103,346 for 15 years and obtained an NPV value of Rp.-209.932,101. In system 2, namely the PV system based on the entire roof area using 36 units of 200 wp solar panels, 24 units of 150Ah batteries, 1 unit of 8 kW inverter, and 1 unit of a solar charge controller 250 A which produces 12851 kWh/year with an investment cost of Rp. 478,782,406 for 15 years and obtain an NPV value of Rp. 182,529,881.
Philosophical and Religious Ideas of American Transcendentalism in the Teachings of Swami Vivekananda

The article contains a comparative analysis of philosophical and religious views of the Indian thinker and public figure Swami Vivekananda and the philosophers of the American transcenden­talism movement. The author focuses on understanding by the intellectuals of various aspects of the Divine. As representatives of American transcendentalism, the most prominent figures of this movement are considered, in whose works the main transcendentalism ideas are expressed – philosophers Ralph Waldo Emerson, Henry David Thoreau and William Ellery Channing. Hermeneutical and historical-philosophical methods are used in the study. As a result, the obvious similarity of many positions in the teachings of thinkers is recognized, caused by common sources of their views. At the same time, significant differences in the views of Western philosophers and Indian thinker are revealed. They are represented in the ideas about the divinity of man, about na­ture as a metaphysical force, as well as in the question of the search for and knowledge of God. The conclusion about Vivekananda’s adequate comprehension of the works of American trans­cendentalists and his using of transcendentalism ideas for forming a masterful interpretation of the foundations of Indian culture for Western society is done.
PELATIHAN PEMBUATAN MEDIA PEMBELAJARAN KREATIF BAGI GURU MI DI KOTA LHOKSEUMAWE

Learning activities at the basic education level, especially Madrasah Ibtidaiyah are expected to develop children's abilities and creativity well, this can be realized by preparing appropriate materials, methods and media in teaching and learning activities. In the learning process at Madrasah Ibtidaiyah, namely MIN 3 and MIN 4 in Lhokseumawe City, it was found that currently teachers have used learning media, but the media is only in simple form and has not been used in all teaching materials. From the existing problems, it is necessary to design an activity that can support the development of teacher skills at Madrasah Ibtidaiyah in order to better understand the concept of learning media accurately and be able to apply it directly in the learning process at Madrasah Ibtidaiyah. The method that will be implemented in this activity is the direct practicum method and the lecture method. Based on the results of the training and mentoring activities in this service activity, it can be concluded: 1) This training activity is able to inspire and motivate teachers in selecting and designing appropriate learning media and in accordance with the expected learning objectives; 2) The training that has been held is able to improve teacher competence and special skills in improving the quality of learning in each madrasah Ibtidaiyah.
Adaptive Behavior-aware Driven Intelligent Method for Detecting News Webpage Structure

Large-scale news data collection relies on the detection of the news website structure. The ultimate goal of the news website structure detection task is to separate news page links and section page links from all links on the news website. The task of news website structure detection is an upstream task of multiple news content analysis tasks, and its performance will affect the performance of downstream tasks. Due to the fact that different websites have completely different structures, this task mainly relies on manual analysis one by one. Although there are general intelligent algorithms proposed, they perform poorly in recall rate. We introduce the publishing behavior characteristics of news publishers into the news website structure detection task, and automatically perceive the publishing behavior of news publishers to achieve the separation of news links, section links and other links. Experimental results show that our algorithm has strong generalization ability, can run on different news websites, and has a much higher recall rate than the baseline algorithm, and can be applied to the collection of large-scale global news website data.
Research on helmet detection algorithm based on android system

Aiming at the demand of real-time detection of site helmet wearing, an artificial intelligence application based on android embedded system is designed to promote the accurate management of smart site safety. The dataset is obtained by Internet crawlers and construction site videos. Samples are divided into training set, validation set and test set in the ratio of 8:1:2. The yolov5s is used as the objective detection algorithm, and the network to be modified. After training the model is quantified, and then the model calls the interface and the lightly quantified model to improve the inference speed of the model. The accuracy of the trained model inference is 92%, the mAp is 80.4%, and the detection speed is 38s. After quantization and deployment to android system, the accuracy is 89.2 and the mAp is 87.6%. The detection speed is 19.2ms, which maximizes the detection speed under the premise of ensuring accuracy. The design helps to detect the safety helmet worn by site personnel automatically and promote the safety management of personnel at smart sites.
Real-Time Person Detection in Wooded Areas Using Thermal Images from an Aerial Perspective

Detecting people in images and videos captured from an aerial platform in wooded areas for search and rescue operations is a current problem. Detection is difficult due to the relatively small dimensions of the person captured by the sensor in relation to the environment. The environment can generate occlusion, complicating the timely detection of people. There are currently numerous RGB image datasets available that are used for person detection tasks in urban and wooded areas and consider the general characteristics of a person, like size, shape, and height, without considering the occlusion of the object of interest. The present research work focuses on developing a thermal image dataset, which considers the occlusion situation to develop CNN convolutional deep learning models to perform detection tasks in real-time from an aerial perspective using altitude control in a quadcopter prototype. Extended models are proposed considering the occlusion of the person, in conjunction with a thermal sensor, which allows for highlighting the desired characteristics of the occluded person.
A Machine Learning Approach to Spam Detection in Social Media Feeds

Twitter, Facebook, and Reddit are popular social networking sites for online interaction. These platforms use spam filtering techniques to identify and block spammers. However, discovering spammers is challenging in Online Social Networks (OSNs). The most commonly used technique to identify spammers is classification-based supervised techniques. However, these sys- tems are subject to "data manipulation," "imbalanced datasets," "data marking," and "spam flow" restrictions. Malicious users exploit implicit trust ties between users to spread false infor- mation, post or tweet malicious websites, and contact legitimate people without their consent. Using unlabeled URLs in a semi- supervised manner and synthetic harmful URLs produced via adversarial learning can reduce the need for labelled samples and solve the imbalance problem. The characteristics of spam users on Twitter are investigated to enhance the effectiveness of current spam detection systems. A collection of new features, more reliable and effective than previously used ones, are used to identify Twitter spammers. The suggested attributes are evaluated using well-known machine learning classification algorithms, such as Support Vector Machines (SVM), several Naive Bayesian (NB) methods, K-Nearest Neighbor (KNN), and Random Forest (RF).
Robust point light source calibration method for near-field photometric stereo using feature points selection

In this paper, we present a robust method for nonisotropic point light source calibration through feature points selection. By analyzing the relationship between the observed surface and its image intensity under near-field lighting, the feature points selection method is first developed to effectively address the noisy observations and improve calibration robustness. Afterward, to enhance efficiency and accuracy of the calibration, a cost function of l p -norm is established based on the above relationship, and an improved Newton method-based iteration process is applied to calculate the light source parameters. The simulations demonstrate that the proposed method is capable of achieving robust calibration results with the estimation error less than 2.7 mm and 0.8°, even though the image intensities are corrupted by Gaussian white noise with standard deviation up to 0.4. The experimental validation is performed using a self-designed photometric stereo system, where the calibration of point light sources is conducted, and measurements are taken on a standard sphere and compressor blade based on the obtained calibration results, which demonstrates the effectiveness of what we believe to be a new method.
Impact of Information and Communication Technology Usage on Learning English Language

The integration of Information and Communication Technology (ICT) has brought about transformative changes in the domain of language learning. The objectives of the study were to assess the extent to which Information and Communication Technology (ICT) tools are integrated into English language learning and examine the perceived impact of ICT on English language proficiency among learners. It employs a qualitative research design, incorporating a qualitative data collection technique.Twenty English language learners from a public sector university participated in the study. The results revealed that the utilization of ICT tools and resources has redefined the dynamics of language instruction. It has enabled educators to adopt innovative pedagogical methods that cater to diverse learning styles and preferences. The availability of online platforms, interactive apps, and virtual classrooms has expanded the horizons of ELLs, making learning more accessible and engaging. As a result, learners are exposed to authentic English language experiences.
Cooc-Based Visualization Analysis of Literature on Research Hotspots and Trends in China’s Education for International Students over the Past Decade

Based on the bibliometric method and content analysis method, this paper searches the literature data of research on education for international students from 2012 to 2022 through three major databases of CNKI, Wanfang and VIP, and with the help of CO-occurrence (Cooc) 13.4 measurement software, it analyzes the volume of publications, research institutions and authors in the field of research on education for international students in China. On the basis of the analysis, the research focuses, evolutionary trends and research frontiers of China’s international students education over the past decaded have been derived, with a view to providing references for in-depth research and practical exploration of international students education in China.
Secondary School Teachers' Perception of Goal Attainment and Measures of Quality Control in Lahore District

The present research aimed to study quality control techniques used by secondary school teachers in district Lahore to improve educational outcomes. The link between quality control measures, secondary school teachers' performance, and target accomplishment was examined in particular. The study's sample was selected by convenient sampling technique and included 418 secondary school instructors from 200 secondary schools. Questionnaire QCMSSGA was adapted to collect data on quality control measures and secondary school goal achievement (QCMSSGA). It was found that the instrument has a coefficient of reliability ranging from 0.75 to 0.81. Analysis including frequency distribution and Pearson product-moment correlation. Secondary school pupils who received high-quality supervision and teacher evaluations were more likely to meet their objectives. Due to the reasons mentioned earlier, secondary school instructors were instructed to conduct more frequent, routine instructional monitoring and pay greater attention to teacher performance evaluations.
IMPLEMENTATION OF THE RAD METHOD FOR THE GOODS SALES INFORMATION SYSTEM IN THE BINA MULIA COOPERATIVE

In order to remain competitive, the Bina Mulia Cooperative Shop, which sells office supplies, is now working to maintain its sales turnover and boost sales. According to the findings of the observations made at this shop, there are a number of barriers to the sales business process, including the level of marketing used, which is still less effective, where product marketing in this shop is only focused on location and depends on customer arrival, and sales recording, which is still done manually using books.&#x0D; Based on these issues, research was conducted with the goal of developing an electronic sales system using the RAD technique and the Unifed Modeling Language (UML) as the system design. A software development methodology that focuses process development cycles quickly is called Rapid Application Development (RAD). The waterfall paradigm served as the foundation for the RAD model. The researchers discovered after testing that the sales application was powered by a computer system.
Illustrating graph neural networks (GNNs) and the distinct applications

The fledgling concept of graph neural network (GNN) has gained a greater acceptance and adoption in the recent past across domains such as social and transport networks, knowledge graphs (KGs), recommendation, expert and question-answering systems, neurons in the brain, and life science that deals with molecular structure. The unique power of GNNs in modeling the intriguing and intimidating dependencies between nodes in a graph has laid down a stimulating environment for envisaging breakthrough results in the graph theory arena. GNN is a special but powerful type of neural networks. GNNs directly operate on the graph-structured data and are capable of assisting in implementing intelligent systems. In short, GNNs are being viewed as an enabling factor and facet of real digital transformation.This chapter is to explain the distinct characteristics of GNNs and how they contribute to visualizing and realizing a variety of advanced applications for the impending knowledge era.
Humanities Research Centers on Artificial Intelligence (NEH)

Federal Grants & ContractsVolume 47, Issue 24 p. 1-1 Grant Alerts Humanities Research Centers on Artificial Intelligence (NEH) First published: 15 November 2023 https://doi.org/10.1002/fgc.33354Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume47, Issue2416 November 2023Pages 1-1 RelatedInformation
CRITICAL THINKING OF TEACHERS AND STUDENTS OF THE NEW UKRAINIAN SCHOOL

The article analyzes various methods of conducting Ukrainianliterature lessons, from clusters and fan fiction to quests and booktrailers.It was established that in the 21st century there is a rapid increasein interest in art therapy, cyber security, weaving totems, creatinggeotags. It is proved that in the scientific discourse there aredifferent approaches of modern researchers to the interpretationsof these terms and their uniqueness in the literature. Modernmethodologists (Bernshtein V., Bondarenko M., Yehorova Yu.,Kopeitseva L.) often use such terms as «interview», «senkan»,«project», «basket of ideas», «reading or artistic blog». Currently,we do not have significant critical studies of the defined terms andconcepts in the methodology of conducting lessons on Ukrainianliterature, so we chose them as a spectrum for our own criticalunderstanding. In various critical reviews, scientists casuallytouch only the names of the outlined terms, but all these are onlycasual remarks, and they require thorough research andapplication in the lessons of the new Ukrainian school.That is why we see our mission in presenting a broaderinterpretation of these terms and concepts and in systematizingthe obtained results. In the process of research, we come to theconclusion that a modern lesson in a new Ukrainian school is notpossible without operating with such concepts as cluster, fanfiction, quest, blog, book trailer, art therapy, cyber security, totem,geotags.In this we see the relevance of the critical thinking of teachers andstudents of the new Ukrainian school, which in its conceptilluminates an important, hitherto unexplored, marginal topic forthe methodology of Ukrainian literature.The formation of a global picture and the process of learning thesemethods in the daily lesson of literature become the prospect offurther achievements in this field.
Sosialisasi IBIFest 4.0 Literasi Digital: Berpikir Kritis di Era Kekinian

This abdimas activity aims to raise important issues related to digital literacy and critical thinking in the context of an increasingly connected digital era. This activity responds to the rapid development of technology and information, where digital literacy is the key to accessing, understanding, and participating in an increasingly complex digital world. At the same time, critical thinking skills are becoming increasingly important to deal with challenges such as the spread of misinformation and the wise use of technology. This activity increased participants' understanding of digital literacy and critical thinking and recognition of the importance of these skills in facing digital challenges. It develops participants' critical thinking skills through interaction, discussion and reflection on related topics.