Reviewerly/exHarmony huggingface dataset:
OPTIMALISASI LITERASI DAN EDUKASI DI PERPUSTAKAAN CERDAS, DESA BANJARNEGORO, MERTOYUDAN, MAGELANG

Literacy and education in Cerdas Library, Banjarnegoro Village, Mertoyudan District, Magelang Regency has not been done optimally in the surrounding communities despite being Magelangs Regional library champion and having quite a complate book. With the cooperation of The District Library of Magelang and the dedication team of Muhammadiyah University Magelang, some bright ideas emarged to develop an intelligent and widely known library. These methods of activity in the service were used by a division of the 4 (four) stages of the survey, alization, appraisal, and monitoring of assessments. This activity take place for 3 (three) months. In this activity, it is introduced to online learning to communities, especially Elementary School children, through interesting games, fond socialization, library administration training for librarians, development training, and creative economics.
Corrections to “MRRT: Modeling of Multiple Reflections of Radiation Between Terrains Applied on the Lunar Surface Region”

In the above article <xref ref-type="bibr" rid="ref1" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[1]</xref> , (20) should be corrected as shown in the equation at the bottom of the page.
EDUKASI PERILAKU PENCEGAHAN PERILAKU BERISIKO MENGGUNAKAN PENDEKATAN COGNITIVE BEHAVIOUR THERAPY PADA PENDERITA HIV/ AIDS

Patients with Human Immunodeficiency Virus (HIV) / AIDS continue to increase from year to year. This increase is influenced by the continued increase in new HIV patients detected. This is in line with the sexual behavior of many HIV/AIDS sufferers who are still unhealthy. The sexual behavior is in the form of anal, oral, and same-sex activities. If this behavior is not controlled properly, it will increase the risk of new HIV/AIDS sufferers. This service focuses on efforts to prevent the spread of HIV/AIDS through health promotion activities and cognitive therapy. The method of service is in the form of counseling and discussion through WhatsApp social media. During the activity, participants can follow well, easy to understand and engage in discussion. The results of the knowledge measurement showed that there was an increase in knowledge before (mean = 73) and after (mean = 90).&#x0D; &#x0D; Keywords: Health education, HIV/ AIDS treatment
Benefits and Challenges of Ambiguous Product Information

We study the welfare effects of ambiguous product information for a buyer with alpha-max-min preferences and a price-setting seller. The buyer privately receives information about her valuation. We show that both can benefit when this information is ambiguous, and we characterize all possible combinations of consumer and producer surplus. Ambiguity concerning the valuation perceived by the buyer when making the purchase decision can induce the seller to change the price. Before receiving information, ambiguity concerning the purchase decision can make the buyer optimistic about buying only for high valuations, which relaxes the participation constraint. Our results inform the regulation of ambiguous product information.
Using Multimedia in Business Communication Learning: Case studies to Improve Vocational Students Business Presentations.

Unemployment in Indonesia is more dominated by SMK graduates compared to other graduates. This phenomenon indicates that learning at SMK must be improved immediately. This study aims to provide an overview of multimedia learning enhancing vocational students' business presentation competence. This research focuses on knowing the differences in business presentation competencies between Vocational School students majoring in marketing who use multimedia-based digital touch. This study used a quasi-experimental design. This study's population was class X students majoring in Vocational School marketing in Bandar Lampung with a sample. The experimental class was class X PM 1 SMK PGRI Bandar Lampung while the control class was class X PM 1 SMK Negeri 7 Bandar Lampung. This study revealed significant differences in business presentation competencies between the experimental and control groups. The use of multimedia learning can improve the competence of business presentations.
The Use of Learning Aids for Dyscalculia: Systematic Literature Review

The aim of this research is to examine appropriate learning aids for dyscalculia children. Systematic literature review became the method in this study. This article reviews 13 articles involving more than 4939 subjects and respondents. We reviewed articles published from 2010 to 2021 from the Sage, SpringerLink, TaylorFrancis, and Wiley Online Library databases. All articles were classified by year, research approach, research objectives and strategies offered for dyscalculia children. The selection of articles found the use of manual tools and the use of technological aids. The results of the review analysis showed that learning with the help of technology had a greater impact on the learning outcomes of dyscalculia students.
Interactive Read Aloud as An Effort to Improve Foreign Language Skills at Early Age

One of the efforts of developing foreign language skills in early childhood is listening skills. Various kinds of listening activities that can be applied to early childhood are packed with interesting and fun activities. One of the methods for listening to non-stop that invites children to actively participate is the interactive read aloud method. The purpose of this study is to review interactive read aloud method as an effort to improve foreign language skills in early childhood. The results of the discussion showed that foreign language learning with the interactive read aloud method is effective and can invite children to actively participate, understand the text, and be able to retell the story that is being played
Physical data of the Geological Museum, KIGAM: rock sample collection of the Gyeonggi Massif and the Imjingang Belt

The geological museum of Korea Institute of Geoscience and Mineral Resources (KIGAM) has collected various geological samples such as minerals, rocks, and fossils, and uses them for exhibitions, education, and research. This technical report introduces 150 rock specimens of the Gyeonggi Massif and Imjingang Belt collection, collected from 2016 to 2018, among the rock samples archived by the Geological Museum. Since the Gyeonggi Massif and Imjingang Belt are considered important areas for tectonic research on the Korean Peninsula, these rock specimens were collected in order to archive standard rock samples with updated geologic and chronostratigraphic information. Each rock specimen is listed with geologic information such as sampling and storage location, stratigraphic or rock unit name, and geological age. Rock specimens, as physical data, are valuable when preserved and shared for development of new or follow-up studies and for reinspection or verification of previous research results. It is expected that these rock specimens will be actively used in geoscientific research as well as education.
Analisis Kelebihan Dan Kekurangan Schoology Dengan Google Site Untuk Memaksimalkan Pembelajaran Daring Dimasa Covid 19

This research was motivated by the ineffectiveness of online learning for mathematics subjects during the Covid 19 Pandemic at SMA N 6 Sijunjung.Based on experiences in the field of online learning cannot be followed by students well, so many students complain about online learning.For this reason, this study aims to describe the challenges and solutions of online learning during the pandemic, especially at SMA Negeri 6 Sijunjung.The method used in this study is a qualitative descriptive method by describing online mathematics learning in SMA N 6 Sijunjung during the Covid 19 Pandemic.Then analyzing the problems encountered by teachers and students, and then providing effective online learning solutions for SMA N 6 Sijunjung.The results of the study indicate several challenges in online learning at SMA N 6 Sijunjung, namely; 1) Inadequate student facilities and infrastructure, many students do not have adequate means of communication with teachers.2) Low student motivation, this is due to the mindset of students who think that learning mathematics will be very interesting if it is explained directly by the teacher, and 3) the lack of parental knowledge, so students have difficulty asking questions when there are questions they do not understand.This can be understood by the social background of the parents of students who on average are middle to lower class family.For this reason, for the sake of fluency and answering the challenges of online learning in mathematics at SMA N 6 Sijunjung, it is hoped that subject teachers will provide interesting mathematics learning options, for example with the help of instructional videos.
The Relationship Between Learning Time Management and PKN Learning Outcomes in Class XI of SMK Swasta Harapan Bangsa

This study aims to determine the significant relationship between time management and civic learning outcomes for Harapan bangsa Private Vocational High School students during the year. Studies of this type are descriptively correlated. The population of this study consists of all her XI students of SMK Swasta Harapan Bangsa in 2022 and the population of this study is 30 using the whole sample. The tools used for data collection were questionnaires and documents, study time management had 15 items with 4 options tested for validity and reliability, and learning outcomes included document student performance lists. I'm using. Results of normality analysis of timekeeping data test results for Class XI SMK Swasta Harapan Bangsa in 2022 were normally distributed with calculation x2count x2table (7.27 43.77). The civics learning outcomes of students in Class XI of Harapan Bangsa Private College in 2022 are normally distributed with the calculated result x2h x2t (17.11 43.77). Control data linearity test results. Learning time due to civic learning outcomes is linear in the equation Y= 75.62+ 0.03 X, consistent with FcountFtable (28 4.20). 2022 Harapan Bangsa Private College Class XI students' study time management propensity test results are moderate (50%) and 2022 Harapan Bangsa Private College Class XI civics learning outcomes are rather (63.33%). Based on the results of the correlation coefficient analysis test, X and Y got rcount = 1.831 and rtable = 0.349 (1.831 0.349 ). This demonstrates a correlation between learning time management and XI citizenship learning outcomes. SMK Swasta Harapan's class gives Bangsa. If we get tcount = 4.11 and ttable = 1.69 (tcount ttable)(4.11 1.69), and with the "t" test, this is the relationship between study time management and student citizenship learning outcomes in the class. It shows that there is a significant relationship between XI Hope Nation Private College, 2022.
The spatial data of renewable solar energy resources over Korean Peninsula using COMS MI and physical model

The Korea Aerospace Research Institute (KARI) estimated solar renewable energy maps for the Korean Peninsula using the Cheonian geostationary orbiting satellite (COMS: Communication, Ocean and Meteorological Satellite). In the case of photovoltaic renewable energy, it is not only used as input data for installation of solar thermal plants and solar panel power plants to acquire renewable energy, but also for various fields such as agriculture, weather, climate change, energy and ecology. The spatial resolution of the solar renewable energy map is 4 km, and there are two temporal resolutions each month and yearly. The spatial range of the observation area was performed for the latitude 33 ° N ~ 42 ° N and the longitude 122 ° E ~ 131 ° E as shown in Fig. 1. In this solar renewable energy map, it was calculated by applying geostationary orbiting satellites based on the physical model. The physical model uses spectral information from COMS satellite to reflect the effects of aerosols, water vapor, and ozone on the scattering and absorption of atmospheric gases when solar radiation passing the atmosphere. Therefore, the amount of incident solar radiation attenuation for each gas was simulated by parameterization of physical model. In addition, in order to consider the biggest factor in cloud attenuation effect, our algorithm applies cloud attenuation factor for cloud top reflectance and cloud penetration according pass length. Finally, the photovoltaic renewable energy map was analyzed by comparing with the ground pyranometer data of the weather stations located in South Korea.
Strategies For Implementing Cybersecurity Policies in Organizations (A Case Study of West African Organizations)

Some cybersecurity leaders have not enforced cybersecurity policies in their organizations. The lack of employee cybersecurity policy compliance is a significant threat to organizations because it leads to security risks and breaches. Grounded in the theory of planned behavior, the purpose of this qualitative case study was to explore the strategies cybersecurity leaders utilize to enforce cybersecurity policies. The participants were cybersecurity leaders from 30 large organizations across West Africa responsible for enforcing cybersecurity policies. The data collection included semi-structured interviews of participating cybersecurity leaders (n = 120) and an analysis of cybersecurity policy documents (n = 200). Thematic analysis identified 4 primary themes: security awareness and training, communication, management support, and technology. Two key recommendations of this study are that large organizations in various sectors of the economy should have a chief information security officer for oversight of Cybersecurity and should review their employee cybersecurity compliance regularly throughout the year for improved and desired cybersecurity behavior.
The Effectiveness of Pre-test and Post-test Using Kahoot in Increasing Students’ Attention

This study aims to determine the effectiveness of the Kahoot application as an evaluation tool for students in terms of student attention. This type of research is quantitative, with a one-shot case study design. The population in this study were all eighth-grade junior high school students, the sampling in this study was through purposive sampling, namely class 8.5. The research instrument consisted of an attention questionnaire through Google Forms and observations. The results of the study found that Kahoot was used in the pre-test and post-test to make students' attention more effective. The average Kahoot in learning is 82.6% or very effective, the average pre-test using Kahoot is 80.07% or very effective, and the post-test average using Kahoot is 82.3% or very effective. Thus, Kahoot is very effective for pre-test and post-test.
Changes in the Learning Behavior of the Islamic University Students during the Covid-19 Pandemic

Online learning is different from offline learning, and the various academic atmosphere, facilities, and infrastructure cause changes in behaviour. By comparing how students learn in the face-to-face learning process to how they learn when using the internet, this study hopes to find and explain the factors that change how students learn when using the internet. This study uses descriptive and quantitative methods, and 99 students at an Islamic university in Lhokseumawe were asked to participate. The results showed that: (1) all indicators of learning behaviour in learning using the internet network decreased in percentage compared to face-to-face learning, but this percentage decrease was still within the range of reasonable interpretation; and (2) every item in the questionnaire showed that there is a change in learning using the internet network, with more answer choices sometimes and less answer choices often or always. This is a sign that learning to use the internet for too long will cause students to change the way they learn in a wrong way or not the way they should.
For Post Hoc's Sake: Determining Sample Size for Tukey Multiple Comparisons in 4-Group ANOVA

The determination of an appropriate sample size is a difficult, yet critically important, element in the research design process.Sample sizes in ANOVA are most often based on an overall standardized difference in the means, but these recommended sample sizes provide statistical power only for the omnibus F test.Adequate sample size for the omnibus test does not necessarily provide sufficient statistical power for the post hoc multiple comparisons typically performed following a statistically significant omnibus F test.The purpose of this paper is to use Monte Carlo techniques to determine sample sizes that will provide adequate statistical power for Tukey post hoc multiple comparison procedure (MCP) in 4-group ANOVA.Sample size tables are included.n the planning stage of a research study, investigators are often uncertain about the minimum number of subjects needed to adequately test a hypothesis of interest (Olejnik, 1984).Since Cohen proposed sample size determination in the planning, execution and interpretation of statistical analysis, researchers have increasingly realized the importance of sample size (Brewer & Sindelar, 1988).The number of cases that should be involved in a research study, particularly in hypothesis testing, has become a critical concern (Olejnik, 1984).Most researchers generally know that the sample size determination is functionally related to the significance level, statistical power, and the effect size.The required sample size is inversely related to significance level, given that power and effect size are held constant.A priori power, the probability of rejecting a null hypothesis that is indeed false, will inform researchers how many subjects will be needed for adequate power (Light, Singer, & Willett, 1990).Effect size is the degree to which the null hypothesis is false (Olejnik, 1984).Different effect size values will require different sample sizes.In addition, Brooks and Johanson (2011) pointed out that the sample size needed for an adequate test of a hypothesis is affected by the particular statistical analysis strategy that researchers choose.For example, when ANOVA will be used, adequate sample size for the omnibus test does not necessarily provide adequate statistical power for the post hoc multiple comparisons typically performed in ANOVA.This paper aims to demonstrate how to choose the sample size that will provide adequate power in the Tukey post hoc multiple comparison procedure (MCP).Pairwise multiple comparisons among four groups will be studied and results will be organized into recommended sample size tables for Tukey test.
Effect of Tokenization Granularity for Turkish Large Language Models

Transformer-based language models such as BERT (and its optimized versions) have outperformed previous models achieving state-of-the-art results on many English benchmark tasks. These multi-layered self-attention-based architectures are capable of producing contextual word vector representations. However, the tokens created in the tokenization preprocessing step are not necessarily words, particularly for languages with complex morphology, such as Turkish. The granularity of the generated tokens is a feature determined by various factors related to tokenization, especially by the vocabulary size. The impact of the vocabulary size parameter on model performance has not been extensively studied. In practice, the vocabulary size is often chosen arbitrarily or through trial and error. The tokenization granularity feature is particularly important for languages with complex morphology, like Turkish. It requires careful tuning, unlike English, where the granularity feature does not significantly impact model performance. This study presents a new collection of BERT models (ITUTurkBERT) trained using various tokenization methods on Turkish language data from the BERTurk and 1BW corpora. We fine-tune these models for three downstream tasks in Turkish and achieve stateof-the-art performance on all tasks. Our empirical experiments show that increasing the vocabulary size consistently improves performance on these tasks, except for sentiment analysis.
Digital Intellectual Property Protection System Based on Artificial Intelligence Algorithm

At present, digital intellectual property protection system is generally designed by combining manual management with central organization. In this mode, the system is easily subjected to various attacks, leading to system intrusion or failure. In order to solve the existing research of digital intellectual property protection system based on artificial intelligence technology, digital watermark attack means, users of the system requirements analysis and the depth of the neural network is discussed, on the basis of against based on artificial intelligence algorithm proposed in this paper the development environment of digital intellectual property protection system and benchmark data set were described simply. Furthermore, the system architecture is designed and discussed. Finally, the digital intellectual property protection system integrated with deep neural network is analyzed experimentally. The experimental data show that the deep neural network technology based on artificial intelligence algorithm can protect against property rights attacks, and the accuracy of digital watermarking and digital signature against four types of attacks is about 85% and 98% on average, respectively. Therefore, it is verified that the AI-based algorithm has a good defense effect on the protection of digital intellectual property rights.
Radical-vectors with pre-trained models for Chinese Text Classification

Text classification is one of the classic tasks in NLP that there have been many pre-trained models dedicated to this task. However, most of these models are origined designed for English tasks such as BERT(Bidirectional Encoder Representations from Transformers) which has achieved SOTA performances in many English NLP tasks. Most models focus on English tasks and their performance in Chinese tasks is poor. In this paper, we focus on the information contianed in Chinese characters and make the following two contributions: (1) we fuse radical-vectors into the BERT's downstream task to obtain the information of Chinese radical; (2) we design a gate mechanism that could help us better obtain the information contained in Chinese radical. We conduct lots of experiments on text classification task based on an existing chinese dataset and our proposed model achieves new SOTA performances on this Chinese NLP task field.
Comparative performance evaluation of suboptimal binary search trees

Three relevant types of suboptimal binary search trees are comparatively evaluated in this paper: two well-known representatives of height-balanced approaches (the AVL and red-black trees) and a popular self-adjusting splay tree. After a brief theoretical background, an evaluation method was described that employs a suitable synthetic workload method capable of producing diverse desired workload characteristics (different distributions and ranges of key values, varying input sequence lengths, etc.). Evaluation analysis was conducted for search, insert, and delete operations separately for each particular type and in appropriate combinations. Experimental results for an average operation cost as well as for tree maintenance cost are comparatively presented and carefully discussed. Finally, the suggested favorable conditions for application of each tree type are summarized.