Reviewerly/exHarmony huggingface dataset:
Detection of Dangerous Situations Near Pedestrian Crossings using In-Car Camera

The paper presents a method for detecting dangerous situations near pedestrian crossings using an in-car camera system. The approach utilizes deep learning-based object detection to identify pedestrians and vehicles, analyzing their behavior to identify potential hazards. The system incorporates vehicle sensor data for enhanced accuracy. Evaluation results show high accuracy in detecting dangerous situations. The proposed system can potentially enhance pedestrian and driver safety in urban transportation.
Real-Time Visual Analytics for Remote Monitoring of Patient’s Health

The recent proliferation of advanced data collection technologies for Patient Generated Health Data (PGHD) has made remote health monitoring more accessible. However, the complex nature of the big volume of medical generated data presents a significant challenge for traditional patient monitoring approaches, impeding the effective extraction of useful information. In this context, it is imperative to develop a robust and cost-effective framework that provides the scalability and deals with the heterogeneity of PGHD in real-time. Such a system could serve as a reference and would guide future research for monitoring patient undergoing a treatment at home conditions. This study presents a real-time visual analytics framework offering insightful visual representations of the multimodal big data. The proposed system was designed following the principles of User Centered Design (UCD) to ensure that it meets the needs and expectations of medical practitioners. The usability of this framework was evaluated by its application to the visualization of kinematic data of the upper limbs’ movement of patients during neuromotor rehabilitation exercises.
Semi-Supervised Learning Approach for Fine Grained Human Hand Action Recognition in Industrial Assembly

Until now, it has been impossible to imagine industrial manual assembly without humans due to their flexibility and adaptability. But the assembly process does not always benefit from human intervention. The error-proneness of the assembler due to disturbance, distraction or inattention requires intelligent support of the employee and is ideally suited for deep learning approaches because of the permanently occurring and repetitive data patterns. However, there is the problem that the labels of the data are not always sufficiently available. In this work, a spatio-temporal transformer model approach is used to address the circumstances of few labels in an industrial setting. A pseudo-labeling method from the field of semi-supervised transfer learning is applied for model training, and the entire architecture is adapted to the fine-grained recognition of human hand actions in assembly. This implementation significantly improves the generalization of the model during the training process over different variations of strong and weak classes from the ground truth and proves that it is possible to work with deep learning technologies in an industrial setting, even with few labels. In addition to the main goal of improving the generalization capabilities of the model by using less data during training and exploring different variations of appropriate ground truth and new classes, the recognition capabilities of the model are improved by adding convolution to the temporal embedding layer, which increases the test accuracy by over 5% compared to a similar predecessor model.
On Unguided Automatic Colorization of Monochrome Images

Image colorization is a challenging problem due to the infinite RGB solutions for a grayscale picture. Therefore, human assistance, either directly or indirectly, is essential for achieving visually plausible colorization. This paper aims to perform colorization using only a grayscale image as the data source, without any reliance on metadata or human hints. The method assumes an (arbitrary) rgb2gray model and utilizes a few simple heuristics. Despite probabilistic elements, the results are visually acceptable and repeatable, making this approach feasible (e.g. for aesthetic purposes) in domains where only monochrome visual representations exist. The paper explains the method, presents exemplary results, and discusses a few supplementary issues.
Modeling Extreme Rainfall Events in the Tropical Monsoon Region: A Generalized Pareto Distribution Approach

Extreme weather events have become more frequent due to climate change, and extreme rainfall is a common occurrence in the tropical monsoon areas.Makassar City was chosen as a representative area of the tropical monsoon climate.The objective of this research is to utilize the generalized Pareto distribution (GPD), along with its nested model (exponential), to predict the monthly return levels of extreme rainfall in the designated geographical region.The study utilized daily precipitation data from January 1980 to December 2022.To determine the monthly daily rainfall data that exceeds a certain threshold, the peaks over threshold (POT) method was applied.The result discovered that the exponential distribution is the most appropriate for extreme rainfall series in most months, except for February and July, where the GPD is more appropriate.No trends or seasonal patterns were identified in any of the months.The calculated return levels of extreme rainfall for each month at the 2, 3, 5, and 10-year return periods indicate that February has the highest rainfall return level for all selected return periods compared to other months with December and January following closely behind.These findings are expected to assist the government in developing flood prevention strategies and mitigating their effects, particularly during the rainy season's peak months in the city, which are December to February.
PENGARUH PENGGUNAAN MEDIA PEMBELAJARAN GAME EDUKASI BERBASIS KAHOOT TERHADAP KEMAMPUAN BERPIKIR KRITIS SISWA PADA MATA PELAJARAN PPKN DI KELAS X PERHOTELAN SMK NEGERI 6 KOTA JAMBI

This study aims to determine the effect of using Kahoot-based educational game learning media on students' critical thinking skills in Civics Subjects in Class X Hospitality SMK Negeri 6 Jambi City. This research is motivated by educational problems, especially in technology and one of the low critical thinking skills of students with a proportion of 33%. The research method used the Pre-Experimental design with the One Group Pretest Posttest design. This research was conducted at SMK Negeri 6 Jambi City for the 2022/2023 academic year. The population in this study were all class X students of the Department of Hospitality SMK Negeri 6 Jambi City. The sampling technique in this study was purposive sampling. Retrieval of research data using a test. The data in this study were obtained from the pretest and posttest of the experimental class. The data was tested by t test using SPSS 22 Software. The results showed that there was an effect of the use of Kahoot-Based Game Learning Media on students' critical thinking skills in Civics Subjects in Class X Hospitality SMK Negeri 6 Jambi City. Judging from the results of data analysis, it was obtained that the average posttest score was 69.6% while the average pretest score was 36%. After testing the hypothesis using the Sample t Test, the characteristics are -10.213&gt; 2.045, so there is an increase in the average pretest and posttest scores. As well as on the test, the sign value (2-tailed) on critical thinking skills is 0.000 &lt;0.05, then Ho is rejected and Ha is accepted. So it can be concluded that there is an effect of using Kahoot-based educational game learning media on students' critical thinking skills.&#x0D;
Parental Involvement and Mathematics Academic Performance of Grade 2 Learners

Parenting involves providing a supportive home environment that fosters learning.This paper examines the parental involvement and the Mathematics academic performance of Grade 2 learners of Balingasag Central District.Specifically, it is geared to determine the extent of parental involvement, the Mathematics academic performance of Grade 2 Learners for the Second Quarter of the School Year 2022-2023, and the relationship between parental involvement and Mathematics academic performance.The instrument used was an adapted questionnaire by Grover (2015).It employed the descriptive-correlation research design using Stratified Random Sampling among one hundred fifty (150) parents respondents.The statistical tools were the mean, standard deviation, frequency, percentage, and Pearson Correlation Coefficient.The study found that the level of parental involvement in parenting, communicating, learning at home, decision-making, volunteering, and collaborating with the community was High.They have a Satisfactory level of learners' Mathematics Academic Performance.All six types of Epstein parental involvement were significant in the Mathematics Academic Performance of Grade 2 learners.Thus, parents may continue to be involved in their children's education and overall development by helping them with homework, attending school events, communicating with teachers, volunteering at school, participating in parent-teacher associations, and supporting their children's extracurricular activities.
Communicate your audience through Virtual Influencer: A Systematic Literature Review

In the era of Bot and ChatGPT, virtual influencers on social and digital media have taken the position of many celebrities. Artificial humans are having several followers and they are influencing their following by communicating with different brands and promoting their products. The present study aims to conduct systematic literature reviews and set a future research agenda of Virtual Influencer (VI) research. The researcher's papers are accessed from both Scopus and Web of Science databases, and after applying the PRISMA approach, 67 papers were included in this study. The SPAR-4 method of systematic literature review applied in this study focusing Context, Constructs, Theory, and Method (CCTM). Most of the studies are based on persuasion theory, experimental research methods, constructs of personality and motivation, and parasocial relationship context. Future research agendas are discussed in the manuscript.
Rule-based Explainable Artificial Intelligence

Artificial intelligence stands out in many fields by facilitating tasks and mimicking the learning systems of humans to generate solutions. Artificial intelligence algorithms supported by deep neural networks have been increasingly utilized in various domains such as energy systems, medicine, robotics, and image processing, indicating their integration into our daily lives. However, despite these advancements, this evolving technology still lacks in establishing trust and is often regarded as an opaque "black box." Explainable Artificial Intelligence (XAI) techniques have been developed to address this issue and make models' decisions understandable, enabling individuals to comprehend and interpret them. Rule-based XAI is a method that adopts a rulebased approach to explain the results of Artificial intelligence models. In this method, interpretable rules are generated for explainability and assist users in understanding the decision-making processes of Artificial intelligence systems. Rule-based XAI methods are typically categorized as model-agnostic, relying on model optimization, or specifically designed for neural networks. These methods play a significant role in Artificial intelligence applications, particularly in finance, medicine, and law. Rule-based XAI ensures reliability and transparency by enabling users to comprehend why a particular outcome was produced by the model. Rules can represent the characteristics of input data or the outputs of the model, allowing users to interpret the results in an understandable manner. Consequently, users develop more trust in the decisionmaking processes of Artificial Intelligence models and gain the opportunity to question and enhance the systems' accuracy. This study provides an introduction to the widespread usage and development of Artificial intelligence and machine learning techniques in human life. Additionally, it emphasizes the significance and progression of XAI. The study defines and highlights the importance of Explainable Artificial intelligence while providing insights into its key concepts and relationships (interpretability, explanation, interpretability). By focusing on the classification of XAI methods, it introduces rule-based XAI techniques
Directive Speech Acts of Pre-Service Teacher in Junior High School Students of Indonesian Language Lesson

Pre-service teacher is the main subject for students in the teaching and learning process. Because of this matter, they are required to provide Indonesian language teaching with simple delivery, but still in the directed, good, and correct speech in order to avoid misunderstanding during interactions. Successful learning can be identified by looking at the students' development on the subject being taught by the pre-service teacher which can make students engaged to the learning process. This research aimed to find out the directive speech acts utilized by the pre-service teacher including the sub-category that are Command, Beseech, Ask to, Warn, Advise to, Beg, and Recommend. The method used in this research was qualitative descriptive. The data were collected through observation and recording. Alan Cruse's theory of directive speech acts was used as the research instrument. The results of this research showed that Command and Ask to were the speech acts that were mostly used by the pre-service teacher. In addition, a pre-service teacher also used the speech acts of Beseech, Warn, Advise to, Beg, and Recommend during the teaching and learning process.Keywords: Pre-service teacher; speech acts; students.
BANGLADESH'S COMMUNITY RADIOS: WHAT THEY BROADCAST AND WHO LISTENS

In the age of globalization and ICTs revolution, conventional media are playing sine qua non role in providing news, information services, and entertainment. Besides, in some countries, community radios (hereafter CRs) are contributing to positive changes in grassroots governance and development. Based on a reality, this paper tries to unravel the following research objectives i.e. i) to get an overview of the program contents of the community radios in Bangladesh; ii) to identify the profiles of the listeners of the CRs in Bangladesh. In a bid to achieve that a mixed method approach was followed. For quantitative data, survey method was used which was followed by some qualitative tools in order to achieve triangulation in research. The findings reveal that there are 18 community radios in Bangladesh and they are providing all sorts of development information at the grassroots. It was found that most of listeners both comprised of male and female were very young and 44% of them were students. A 40% of the respondents have SSC and above level of education. A 70% listeners used to listen CRs using mobile phone. The contents of the programmes of the CRs included a wide range of developmental issues i.e. agriculture, fisheries, livestock, climate change, disaster mitigation, women empowerment, education, news and newspaper, entertainment with music and drama, special programmes of national and international days, learning English, beautification and cooking, programmes for children and minority people. Through their diverse programmes these CRs are providing lots development services to the grassroots societies.
Utilizing Padlet to Boost Student's Reading Skills of Recount Text in a Vocational High School

The goal of this study was to examine the effectiveness of Padlet utilization to boost the tenth-grade students' reading skills of recount texts at SMK Pemuda 1 Kesamben Blitar. 24 students from class X-A were involved in the pre-experimental research by using one group pre-test and post-test design. The research procedures covered 3 steps: pre-test, treatments, and post-test. For gaining the data, the researchers utilized tests. Before the test was tested, it was tried out to the same level as the participant to discover the test’s validity and reliability. The data processing in this research used paired sampled T-tests by using SPPS 22. The result revealed that the participants’ reading skills in comprehending recount texts enhanced from pre-test 66.25 to 86.91 in their post-test. In addition, based on paired sample t-test, it was discovered that the Sig. (2-tailed) value was &lt; 0.05. Therefore, we can infer that the utilization of the Padlet application was effective to enhance the tenth-grade students’ reading skills of the recount texts at SMK Pemuda 1 Kesamben Blitar. From the result above, the researchers suggest English teachers apply Padlet application in English teaching-learning, especially reading.&#x0D;
Pre-Course Inquiries

Need analysis is a pivotal process prior to starting any courses in order to get initial classroom mapping about students’ needs and expectations. This current study aims to describe the result of need analysis conducted prior to the course of Bahasa Inggris for nursing students. The method employed is descriptive quantitative using data that were collected through questionnaires distributed to the students who are taking Bahasa Inggris course in the odd semester 2022/2023. The results show several points, such as the students belonged to the beginner to intermediate level of English users who merely used English in the classroom contexts. The most challenging language skill is speaking, yet they have had learning awareness to acquire all the language skills in the targeted language. The students also propose some criteria of good teaching materials, learning activities, as well as assessment forms. Finally, the result of this current study can be one of the considerations or the basis for future learning designers, course facilitators, and institutions to design the course which meets the students’ needs.&#x0D; &#x0D; Keywords: English, need analysis, nursing students
The Use of Kahoot! Application to Teach English Vocabulary Learning in Rural Area

The purpose of this study was to find out the effectiveness of Kahoot! application in teaching vocabulary at the eighth grade of MTs NWDI Lepak in the academic year 2021-2022. This study refers to mix method where a pre-experimental design using one group pre-test and post-test was used to find out the effectiveness of using Kahoot!, then observation was used to find out the students’ attitude on Kahoot! The sample of this study was the eighth-grade students consisting of 30 students. The data were collected from students’ pre-test and post-test by using multiple tests. The data were analyzed by using SPSS version 22 for Windows. After submitting the data to a paired sample t-test, it was found that there was a significant difference in the mean score between the pre-test and post-test, t(df=22)= -14.31 at p=0.00 which meant that the alternative hypothesis was accepted and the null hypothesis was rejected. Thus, Kahoot! The application was significantly effective in teaching students’ vocabulary in the eighth grade of MTs NWDI Lepak in the academic year 2021-2022. Considering the process and result of this study, it was suggested that English teachers use this media in teaching English vocabulary, both in urban and rural areas.&#x0D; &#x0D; Keywords: kahoot! application, rural area, vocabulary
The Effectiveness of Word Search Puzzles Game in Improving Student's Vocabulary

With the growing popularity of the Word Search Puzzles game in educational contexts, teaching today aims to demonstrate the positive effects of Word Search Puzzles in teaching. This study reviews the effectiveness of Word Search Puzzles in improving students’ vocabulary. The method used in this research using a systematic literature review. The findings show that from 30 article journals have been found, 12 journals can be used as secondary data because meet the requirements which are then analyzed and summarized. These data qualify with QA1 (journal published in recent 7 years between 2015-2022), QA2 (research focus on the use of Word Search Puzzle for Indonesian students), QA3 (findings explain the improvement of students’ vocabulary using crossword puzzles), and QA4 (findings compare the improvement of two different classes between control and experiment class). The experimental class is the class that gets treatment (using Word Search Puzzle), while the control class is the group that does not get treatment (non-crossword puzzle). After the teacher teach vocabulary using the media “Word Search Puzzle, there is an improvement score from previous research in the pretest and posttest, especially in the experiment class taught by using Word Search Puzzle.&#x0D;
A Forensic Linguistic Study

This study discusses the hate speech delivered by Indonesian internet citizens towards Indonesian badminton athletes on social media. This study aims to identify the types of hate speech addressed to Indonesian badminton athletes on the two social media platforms, Instagram and Twitter, and investigate whether the netizens violate the law of hate speech or not. The data are sourced from the official accounts of the Indonesian badminton federation @badminton.ina (Instagram) and @INABadminton (Twitter). The data were collected by documentation technique and then analyzed by using contextual analysis. The result of the study shows that nine comments from eight commenters contain hate speech content including insults, defamation, denigration, unpleasant action, provocation, incitement, and hoax. From the result of the study, it is proved that the commenters violate the Information of Electronic Transactions Law.&#x0D; &#x0D;
An Innovative Teaching Method: Blended Mobile Language Learning (BMLL)

Thanks to developing technology, new teaching models and different language teaching techniques are emerging day by day. For example, virtual reality technology is being increasingly utilized in language learning, allowing students to immerse themselves in simulated real-life scenarios and practice their language skills in a safe and controlled environment. Additionally, gamification techniques are being incorporated into language learning apps and software, making the process more engaging and interactive for students. As of the century we live in, it is not the right method to be limited to a single language teaching model because a language learning method that comes out with the blending of effective techniques of different methods is more influential. The new generation can be addressed by including the tools and applications that have emerged thanks to the developing technology in education. This connection is essential for the educational use of laptops, tablets and phones. Blended Mobile Language Learning (BMLL) has appeared as a result of the use of mobile devices as tools to support language education in or out of the classroom. It is now possible to access thousands of language teaching applications and materials, especially through smartphones and tablets, and to learn a language without place and time restrictions and without being bound to any authority. This study provides information about the technological devices used historically in language teaching, the inclusion of technological tools in language education today, and Blended Mobile Language Learning.