Reviewerly/exHarmony huggingface dataset:
Analysis of Screen Time for Online Gaming and Screening Children's Visual Acuity in the Pandemic Era

One of the causes of pediatric eye vision problems in the pandemic era is the increased use of digital screen devices to play online games. This is due to an increase in accommodation and convergence in the eyes when doing activities through digital screen devices at close range. The purpose of this study was to determine the relationship between screen time duration and visual acuity in children aged 9-12 years in the Kalongan and Sidokerto Malang areas during the Pandemic era. This research is a descriptive observational quantitative research with a cross-sectional research design. The research sample was 62 children with a saturated sampling method or a number of population members. The research was conducted in the community of school-age children in the Kalongan and Sidokerto Malang areas. The data used in this study were primary data giving questionnaires to children through parents and checking children's visual acuity. The analysis method used in this research is a univariate and bivariate analysis using the chi-square test. Based on the results of the study, the majority of respondents play online games. Some respondents experienced decreased visual acuity. There is a correlation between the duration of playing online games and the visual acuity of the right and left eyes. Children who play online games for longer periods of time (more than 2 hours) are more likely to experience decreased visual acuity than children who play online games for less than 2 hours or do not play online games.
Sentiment analysis using RNN model with LSTM

In today's digital world with a rapid increase in e-commerce portals, the consumers are more oriented towards seeking out online reviews, feedback, or ratings over a product during the online buying process. In this research work, we tried to investigate the relationship between the review ratings and the sentiment of reviews in the form of their polarity. We have tried to predict the sentiments over the given reviews by implementing various machine learning techniques, i.e., logistic regression, support vector machine (SVM), k-nearest neighbours (KNN), and recurrent neural network (RNN). The machine learning techniques predict the sentiments of provided reviews in two scenarios, i.e., scenario 1 - negative (-) and positive (+) and scenario 2 - negative (-), neutral (0) and positive (+). In this paper, we have proposed the architecture for predicting the sentiments with better accuracy over other techniques.
Optimasi Prediksi Kelulusan Tepat Waktu: Studi Perbandingan Algoritma Random Forest dan Algoritma K-NN Berbasis PSO

The prediction of on-time graduation for students involves various measurement techniques, including criteria such as majors, class types, and semester grade achievements. These factors play a crucial role in determining whether students will complete their studies within the designated timeframe. In line with this, a model has been developed to forecast the probability of timely graduation. This model leverages the Random Forest and k-Nearest Neighbor (K-NN) algorithms as tools to classify students into appropriate groups. Optimization is carried out using the Particle Swarm Optimizer (PSO) algorithm to enhance prediction accuracy. The data used originates from alumni of various Universities in Palembang.This model utilizes multiple attributes, such as majors, university origins, class types, and semester grade records up to the fourth semester. Other attributes encompass the year of graduation and year of enrollment. Data management and processing are conducted using Rapidminer. Validation is performed by splitting the dataset into training and testing groups through the split validation method. Based on research and testing, the Random Forest algorithm achieves an accuracy of 95.79% with an Area Under Curve (AUC) of 0.991. After optimization with PSO, accuracy increases to 97.89% with an AUC of 0.993. Meanwhile, the k-NN algorithm achieves an accuracy of 93.49% with an AUC of 0.975; after optimization with PSO, accuracy rises to 96.74% with an AUC of 0.986.&#x0D;
Virtual Simulators in The Teaching-Learning of Chemistry and Physics: A Systematic Review of The Literature

The objective of this study was to describe quantitative metrics related to publications on the advantages offered by virtual simulators for the teaching-learning of students in the subjects of Physics and Chemistry, in different databases such as Ebsco, Dialnet, Scielo, DOAJ, including the time period filter. from 2019 to 2023. In this sense, the search was carried out by consulting the words "Virtual simulators", "Virtual reality", "Exact sciences", "Chemistry", "Physics", in the aforementioned databases. Then, the studies were filtered according to the inclusion criteria, which are open access documents and the subject in the database itself, for subsequent review of the literature. At the end of the review, the last filter was performed by exclusion criteria, leaving 9 studies as a final result. It was evidenced that in 2022 the largest number of publications was made, with a total of 4 and also the highest peak of scientific production. Likewise, it was recorded that scientific research on the subject is also carried out in Peru, but it is necessary to deepen it; However, this number of publications shows a scarce scientific production in Latin America. On the other hand, the results of the most frequent keywords in the studies carried out on this topic were chemistry and learning. Finally, it is concluded that there is a shortage of studies that relate both physics and chemistry. Although there are studies that show us an individualized analysis for each variable.
The Impact of Using Visual Grammar on Iraqi EFL Secondary Students’ Performance

This study sheds light on the aspect of visual grammar, which it’s teaching in Iraq has not received any attention in educational institutions or within the classroom curricula, so it aims at measuring the impact of using visual grammar on EFL secondary students’ performance.
PENINGKATAN KETERAMPILAN BERBICARA MENGGGUNAKAN METODE DEBAT

This research was carried out using a Case Study Qualitative Research Approach. The purpose of this study is to improve speaking skills using the debate method. The subjects of this study were high-class students, namely V E State Elementary School Cileungsi 06. Data collection in this study was carried out by conducting observations, interviews, and also collecting data and documentation to support the research. The results of the study can be concluded that the debate method can improve the speaking skills of fifth grade students at Cileungsi 06 State Elementary School, Bogor Regency. The conclusions can be drawn namely: an increase in speaking skills using the debate method which can be seen from the six subjects through the percentage results of the debate assessment of the final results of the subject. get their respective percentages, namely the subject with the initials ''AL'' with a percentage result of 61.53%, then the subject with the initials ''AR'' with a percentage result of 62.5%, the subject with the initials ''DZ'' with a percentage result of 54.16% , the subject has the initials ''DA'' with a percentage of 75%, the subject has the initials ''K'' with a percentage of 50%, and the subject has the initials ''R'' with a percentage of 75%.
Diversity and Identity: Categories for OAI data-providers in the Open Language Archives Network

This work analyzes the network typology of data-providers who use the Open Archive Initiative Protocol for Metadata Harvesting (OAI-PMH) to engage in ethnolinguistic information-resource stewardship. The Open Language Archive Community’s (OLAC) network is analyzed addressing: (1) the ontological nature of OAI data-providers, chiefly that not all data-providers are archives; (2) the classificatory nature of the data-providers in contrast to existing OLAC categories of personal and institutional; and (3) the impact of classification/description on the social-understanding about those providers. That is, discrete classificatory terminology does not exist within the target OLAC user community. A broader understanding of the classificatory distinctions among cultural heritage organizations would enable depositors to select the most appropriate institutions for cultural heritage preservation. Two classification taxonomies are presented for the data-providers. The taxonomy terms are applied to the members of the network: (1) as a lens by which one may understand metadata quality discrepancies across data-providers; (2) to identify strong and weak areas within the network; and (3) to identify network growth potential in contrast to the historically involved network participants. The developed taxonomies are applicable to cultural heritage networks outside of the set of OLAC data-providers and contribute to broader metadata quality discussions in the Library-Archive-Museum (LAM) community.
Question-Aware Global-Local Video Understanding Network for Audio-Visual Question Answering

As a newly emerging task, audio-visual question answering (AVQA) has attracted research attention. Compared with traditional single-modality (e.g., audio or visual) QA tasks, it poses new challenges due to the higher complexity of feature extraction and fusion brought by the multimodal inputs. First, AVQA requires more comprehensive understanding of the scene which involves both audio and visual information; Second, in the presence of more information, feature extraction has to be better connected with a given question; Third, features from different modalities need to be sufficiently correlated and fused. To address this situation, this work proposes a novel framework for multimodal question answering task. It characterises an audiovisual scene at both global and local levels, and within each level, the features from different modalities are well fused. Furthermore, the given question is utilised to guide not only the feature extraction at the local level but also the final fusion of global and local features to predict the answer. Our framework provides a new perspective for audio-visual scene understanding through focusing on both general and specific representations as well as aggregating multimodalities by prioritizing question-related information. As experimentally demonstrated, our method significantly improves the existing audio-visual question answering performance, with the averaged absolute gain of 3.3% and 3.1% on MUSIC-AVQA and AVQA datasets, respectively. Moreover, the ablation study verifies the necessity and effectiveness of our design. Our code will be publicly released.
A Comprehensive Evaluation Framework of Software Visualizations Effectiveness

Visualizations are useful in dealing with complex software systems, especially in maintenance and evolution tasks. Software visualization tools can help reduce the cognitive burden on practitioners when trying to understand these systems. However, a major challenge in designing new visualization techniques and tools is evaluating their effectiveness for specific tasks and users. If a visualization tool is not effective for practitioners, they are unlikely to adopt it. Existing evaluation frameworks for visualizations mainly focus on expressiveness, which refers to the ability of the visualization to show all necessary information. However, evaluating the effectiveness of visualizations is an open research problem, especially in terms of quantifying it. To address this problem, we propose a multi-dimensional evaluation framework that focuses on evaluating visualizations in terms of their qualitative, quantitative, and cognitive aspects. The framework includes seven main dimensions and twenty-eight features, with the effectiveness dimension being further subdivided into four sub-dimensions. We validate our framework by using it to evaluate a number of software visualization tools. This validation demonstrates that the framework can be applied to design and evaluate new software visualization techniques and tools.
Rate and Proportion Analysis of The Decision Model from Online Learning Sustainability

The human development index is built by three fundamental dimensions: long life and healthy life, knowledge, and a decent standard of living. This research was inspired by sustainable development goal four, Quality Education. Quality of education has an excellent relation with knowledge management. The fuzzy logic-based decision support model of online course learning suggests nine parameters to be considered. This research collaborates those nine parameters, participation rate, and the Proportion of youth and adult involvement in formal and non-formal education. The result shows that from the participation rate, it concluded that those with stable expansion also consistently enrich their knowledge by attending formal or non-formal learning; female constantly takes learning more than male; people who lived in city has more urge to learn than people who live in villages. From the Proportion from 2017, 2018 and 2022, people with ICT skills increased significantly, showing good value. Nevertheless, while female participation in learning is higher than male, it does not make female has better skills than male. Last, needed an innovation to gain interest in study to village residents.
Utilizing Machine Learning For Identifying Potential Beneficiaries of Family Hope Program

In identifying families who are entitled to PKH assistance there are often obstacles such as RTSM identification errors, this is caused by the negligence of officials so that they are not accurate in making confirmations in large numbers. An automated system that can predict RTSM can be a solution to this problem, a system based on a machine learning model. This study aims to analyze the machine learning model Decision Tree C45 (DT C45), K-Nearest Neighbor (KNN), and Naive Bayes (NB). The results showed that Decision Tree C45 was the optimal model to implement with an accuracy value of 70%.
Review of The Water Carrying Capacity and Water Flow at RDTR of The Spatial Planning of Tegalluar Residential Integrated Area in Bandung Regency

The development of Tegalluar area as a strategically planned integrated residential center, potentially serving as the new provincial government center for West Java, stands as a top priority for the Bandung Regency Government. To support this vision, the Regional Detailed Spatial Plan (RDTR) for Tegalluar Integrated Settlement Area and the Planning Area (BWP) of Bojongsoang have been formulated. Concurrently, the region has grappled with persistent water resource management challenges, marked by annual flooding during the rainy season and water shortages in the dry season. This research aims to comprehensively analyze the water flow cycle within the area and explore potential scenarios for water management in alignment with the RDTR. The research findings reveal that, in the development scenario, the water flow pattern remains largely unchanged, with limited efforts to harness rainfall or manage wastewater. Precipitation and surface water predominantly contribute to the water inflow in the research area. Furthermore, the provision of clean water heavily relies on external sources. Based on this water flow analysis, there exists an opportunity to implement water-sensitive urban design principles in the research area. This involves capturing rainwater through effective harvesting techniques and adopting wastewater reuse strategies, focusing on non-potable applications. Such measures can enhance water sustainability and mitigate the region's water-related challenges.
Signification and the Problem of Truth

The great hopes of scientists in various fields, from computer science and mathematics to literature and art criticism, from analytical philosophy to post-structuralism, in the last third of the 20th and first quarter of the 21st centuries are assigned to semiotics, or the general theory of signs, which studies signification and its laws. Signification, or designation (denotation, signalizing, symbolization) is the widest-common procedure in scientific creativity and culture in general.&#x0D; The scope of the semiotic approach and the abstractness of the categories of semiotics are such that they allow for speaking at least of the theoretical-cognitive, if not ontological, universality of its approaches and the general methodological validity of its tools. One is capable of thinking only on the basis of the semiotic mediation of reality; moreover, the essence of consciousness itself as a whole is reflective, and representative. The recognition of the great informative capacity and value of the basic semiotic concepts, as well as the extreme breadth of the subject of semiotics due to the actual or potential symbolic nature of human science and culture, the instrumental nature of signs and symbols which science, ethics, religion, and art are full of, allows us to hope that semiotics will play, in the near future, the role of a universal manifestor and communicator.
The Level of Job Satisfaction among Faculty Members at King Faisal University in Saudi Arabia from their View point

Objectives: The study aims at identifying the level of job satisfaction among faculty members at King Faisal University in the Kingdom of Saudi Arabia, and to reveal differences in the responses of faculty members about their level of job satisfaction according to study variables: gender, nationality, college, academic rank, and experience.&#x0D; Methods: The theoretical descriptive approach was adopted by building a questionnaire consisting of (36) items, divided into five areas: job, social relations at work, salaries and incentive, direct administration, professional development, and promotions. The study tool was applied to (252) faculty members from various scientific and humanitarian colleges.&#x0D; Results: The findings showed that the level of job satisfaction among faculty members at King Faisal University was high. The field of social relations at work came at a very high level, while the field of salaries and incentives came at a moderate level. It was also found that there were no statistically significant differences (α = 0.05) attributed to the variables: college, academic rank, nationality, and the number of years of experience. While the differences were due to the gender variable and in favor of males.&#x0D; Conclusions: Based on the study's findings, the researcher suggests that King Faisal University officials enhance faculty salaries to align with global changes, ensuring a comfortable lifestyle. Additionally, developing a merit-based reward system for exceptional teaching, research, and community engagement is recommended.
The Jordanian Public's Reliance on the Jordanian Digital Journalism as a Source of Information during the COVID-19 Crisis: A Field Study

Objectives: The study identifies the degree of the Jordanian public's reliance on Jordanian Digital Journalism – originally printed press – such as Al Ghad, Al Ra'ai, and Ad-Dustour as a source of information during the COVID-19 crisis. Methods: The study relied on the theory of media dependence, and used the field survey methodology using the questionnaire tool, which was applied to an available sample of (400) individuals from the Jordanian public. Results: The study found that an estimated percentage of those who depend on Jordanian Digital Journalism as a source of information about Corona reached (79%), for a number of reasons, most significantly: the accessibility of browsing it at any time, (57.9%) of the sample also relied on it as a source of information about the pandemic for less than an hour a day, with Al Ghad and Al Ra’ai being the newspapers that the respondents depend on mostly. Moreover, the findings demonstrate that the most important cognitive effect is to draw the public’s attention to the dangers of the virus, especially for the elderly. Additionally, the most emotional effect resulting from this dependence is the growing concern about the lengthy total ban. Meanwhile, the behavioral effect is to form an enlightened attitude about the pandemic. Conclusions: The study suggests that Jordanian digital journalism should enhance its role in promoting COVID-19 awareness and education among the public by launching campaigns to convey the virus's dangers, prevention, and safety measures effectively
Integrating Evolutionary Prejudices in Belief Function Theory

This paper deals with belief change in the framework of Dempster-Shafer theory in the context where an agent has a prejudice, i.e., a priori knowledge about a situation. This situation is modeled as a sequence (p, m) where p reflects the prejudices of an agent and m is a mass function that represents the agent’s uncertain beliefs. In contrast with the Latent Belief Structure introduced by Smets where a mass is decomposed into a pair of separable mass functions called respectively the confidence and diffidence, m can be any mass function (i.e., not necessarily separable) and p is not a mass. The aim of our study is to propose a framework in which the evolution of prejudices and beliefs are described through the arrival of new beliefs. Several cases of prejudice are described: the strong persistent prejudice (which never evolves and forbids beliefs to change), the prejudice that is slightly decreasing each time a belief contradicts it, etc.
Environmental perspective on tsunami disaster mitigation and its implications: a critical review

Tsunamis are one of the deadliest and most destructive natural disasters, having the potential to cause significant damage to the environment and society. Therefore, tsunami hazard modeling becomes very important in disaster risk management and environmental protection. Tsunami evacuation isan important and effective effort that must be carried out to save the community when a tsunami occurs. The aim of this study is to review the environmental perspective on the tsunami evacuation plan in terms of environmental, social, and economic aspects, along with their implications. Aqualitativedescriptive study was carried out through a literature review by comparing case studies in various coastal areas affected by the tsunami. Environmental factors play an important role in the results of tsunami modeling which will form the basis for evacuation plans.Social and economic aspects also play a role in people's behavior when evacuating, reviewed and observed, in order to produce an effective and sustainable evacuation plan.
Development of an English module based on Bugis' local wisdom

This study aims at developing high school English learning modules based on Bugis culture. This research applied Development Design Research (DDR) approach and involved several parties related to the development of the EMBOS module, namely high school English teachers and experts. Data were collected by using Focus Group Discussion. The data were analyzed qualitatively using the N-VIVO software, and the quantitative data were analyzed using the Fuzzy Delphi and Aiken's V methods. Needs analysis using the Group Interview method or Focus Group Discussion resulted in several issues or themes. The results of expert approval using the Fuzzy Delphi method found that the Mappadendang topic received approval in the song/narrative material with a Threshold (d) value of 0.038 and an average of Fuzzy Number 0.787. The topic of Mappadinding received approval on the Explanation Text/ Description Text material with a Threshold (d) value of 0.038 and an average fuzzy number of 0.787. Nene Malomo's topic on Traditional Story/Narrative Text/Reading Comprehension material with a Threshold (d) value of 0.038 and an average of Fuzzy Number 0.787. Developing an English learning module based on Bugis Local Wisdom consists of the beginning, content and the end. Experts have validated the EMBOS module. The results of expert validation indicate that this module is generally suitable for use in learning English at the high school level or equivalent. An English learning module based on Bugis local wisdom can be implemented as an alternative to bring students closer to their environment or contextual learning.