Reviewerly/exHarmony huggingface dataset:
SOSIALISASI PENDAMPINGAN PEMBELAJARAN BERBASIS GAMIFIKASI DI SDN TANJUNGSARI 1 KABUPATEN TULUNGAGUNG

Technology-based learning is a form of adaptation of education to technological advances. The development of technological advances has led the world of education to adapt to global demands, both in the learning process and in the use of learning media. Gamification in the world of education can be defined to include game elements and elements in the learning environment, both the learning process and learning evaluation. The purpose of mentoring socialization at SDN Tanjungsari 1 is to introduce gamification support applications in education so that they can create innovative and interactive learning. The supporting applications used in this mentoring socialization are quizwhizzer and genially. The supporting application is an application that is quite easy to use and also has an attractive interface for elementary students. Mentoring is carried out twice, namely first discussing the use of quizwhizzer and making game elements in the quiz that will be applied. Meanwhile, at the second meeting, it was the use of genially in supporting learning using gamification in the form of online board games that were integrated with the ongoing learning theme.
The Relationship Between Nutritional Status And Learning Achievement Of Students At State Elementary School (SDN) 01 Linggapura, Tonjong District, Brebes Regency

Nutritional status is a measure of success in fulfilling nutrition for children whose indications are body weight and height. The aim of this research is to determine the relationship between nutritional fulfillment and learning achievement among students at Linggapura 01 state elementary school, Tonjong District, Brebes Regency. The research method used was observational with a cross sectional study design . This research analyzes the relationship between nutritional fulfillment and learning achievement at Linggapura 01 State elementary school. From the results of statistical testing using the chi Square statistical test, the p-value = 0.000 is obtained , which means it is smaller than the value α = 0.05. So it can be concluded that Ho is rejected, meaning there is a relationship between nutritional status and student learning achievement at State elementary school (SDN) 01 Linggapura, Tonjong, Brebes Regency. In connection with the results of this research, it is hoped that parents should pay attention to the nutritional status and adequate nutritional intake of their sons and daughters for the smooth running of their learning activities.
Student’s Perception on Online Instructional Media Effectiveness in Automotive Field

Instructional media is an important component in online learning. This study aims to: 1) find out what types of learning media that motivate students to learn; 2) knowing the benefits of various types of learning media used by students on online learning. This study used ex post facto method. The questionnaire was used to gain the data from bachelor student. The instrument explores information about various forms of online learning media, namely text, audio, graphic, animation, and video. The terms of the benefits of media including able to stimulate students' curiosity, motivate student, make easier for students understanding, encourage students learning happily, and giving student’s flexibility in choosing learning resources. The results showed that: The better online learning media for motivating student were animation and video with a very high category of motivation achievement. While other types of learning media are in the high category. Judging from the benefits of various types of media, video and animation media are the most useful for students in online learning. The media got very high category on stimulating students' curiosity, motivating student`s learning, making it easier for students to understand, encouraging students learning happily, as well as giving students flexibility in choosing learning resources. Meanwhile, other types of learning media are in the high category. Even on text media, getting a low category on encouraging students learning happily. Therefore, teachers not only use PowerPoint media, but also need to consider other types of learning media for teaching students in online learning.
Development of Statistical Process Control Methods for Anisotropic Magnetoresistive Sensor Technology

An application of some statistical process control methods for production process of thin anisotropic ferromagnetic films are described. There was calculated the correlation between the thin film deposition rate, substrate's temperature, time of deposition and surface resistivity, magnetoresistive effect, anisotropy field, coercive force of thin film. It was shown that more strong correlation (rk = 0,78) with AMR-effect's value in film observe for surface resistivity that can use for AMR-effect rising.
The Archives Management System is Improved in the Administration Section of the DPRD Secretariat of South Sulawesi Province

All important documents, whether written or in the form of images, must be able to be found again. Therefore, the aim of this research is to find out the description of the Dynamic Records Management System in the Administration section of the DPRD Secretariat of South Sulawesi Province. This research is a qualitative descriptive study. The data collection techniques used are the observation method, interview method, and documentation method. The data analysis technique used in this research is the Miles and Huberman model of data analysis, namely data collection techniques, data reduction, data presentation, and conclusions. The number of informants in this study was 5 people, namely 1 head of the administrative sub-division and 4 administrative staff employees. The results of this research show that the archive management system is diminishing in the administrative section of the secretariat of the DPRD of South Sulawesi Province which includes the creation and receipt of dimanis archives in the form of making and recording them in agenda books, the use of domains archives includes archive lending services in the form of recording in agenda books, maintenance of dimanis archives includes storage and depreciation of archives, which includes the transfer and destruction of archives. This research can be used as reference material and knowledge about dynamic records management systems in more depth because different from previous research which used qualitative methods that focused on numbers and static, this research uses qualitative methods that focus on the process and meaning of the results. This research method focuses more on human elements, objects, and institutions, as well as the interaction relationships between these elements in an effort to understand an event, behavior, and phenomenon
Efektivitas Minum Air Hangat dan Batuk Efektif terhadap Bersihan Jalan Napas Pasien Tuberkulosis Paru

Pulmonary Tuberculosis is a disease caused by the bacterium Mycobacterium tuberculosis. The main problem that is often experienced by pulmonary tuberculosis patients is the accumulation of sputum which results in ineffective airway clearance. To overcome the ineffectiveness of airway clearance, it can be done by providing therapy with drinking warm water and effective coughing. This study aims to determine the comparison between drinking warm therapy and coughing effectively on airway clearance of pulmonary tuberculosis patients at the Bontomarannu Health Center. This research is a quantitative study using a quasi-experimental design where the researcher uses a two group pretest-posttest design. The determination of the sample is done by simple random sampling technique with a sample size of 42 respondents. This study used the Mann Withney test and the Wilcoxon test. From the results of research that has been carried out, it was found that drinking warm water therapy was effective on airway clearance (p=0.027) and cough therapy was effective on ineffective airway clearance (p=0.003). Based on the results of the study, it was shown that cough therapy was more effective in clearing the airway than drinking warm water therapy. It is suggested that this research can be used as a reference to develop knowledge regarding the handling of clearing the airway using the therapy of drinking warm water and coughing effectively
Methods of developing creativity in music education based on Big Data analysis

This article is devoted to the methods of developing creative thinking in music education at this stage. This paper puts forward effective training methods, hoping to the teaching quality of music, so that more students can have creative thinking.
"Security Perception at Public University in Central Mexico"

Security has been a central theme and axis on the public agenda of countries. It is a phenomenon that the literature has approached from the perspective of the media and the perception of political and social actors, as well as public and private sectors around a common future of security, although new proposals refer to the observation of the asymmetries between the parties involved.
A Motion Planning Algorithm in a Figure Eight Track

We design a motion planning algorithm to coordinate the movements of two robots along a figure eight track, in such a way that no collisions occur. We use a topological approach to robot motion planning that relates instabilities in motion planning algorithms to topological features of configuration spaces. The topological complexity of a configuration space is an invariant that measures the complexity of motion planning algorithms. We show that the topological complexity of our problem is 3 and construct an explicit algorithm with three continuous instructions
Can a Prediction’s Rank Offer a More Accurate Quantification of Bias? A Case Study Measuring Sexism in Debiased Language Models

Pre-trained language models are known to inherit a plethora of contextual biases from their training data. These biases have proven to be projected onto a variety of downstream applications, making their detection and mitigation imminent. Limited research has been conducted to quantify specific bias types, such as benevolent sexism, which may be subtly present within the inferred connotations of a sentence. To this extent, our work aims to: (1) provide a benchmark of sexism sentences; (2) adapt two bias metrics: mean probability score and mean normalized rank; (3) conduct a case study to quantify and analyze sexism in base and de-biased masked language models. We find that debiasing, even in its most effective form (Auto-Debias), solely nullifies the probability score of biasing tokens, while retaining them in high ranks. Auto-Debias illustrates a 90%-96% reduction in mean probability scores from base to debiased models, while only a 3%-16% reduction in mean normalized ranks. Similar to the application of non-parametric statistical tests for data that does not follow a normal distribution, operating on the ranks of predictions rather than their probability scores offers a more representative bias measure.
TRAVID: An End-to-End Video Translation Framework

Prottay Kumar Adhikary, Bandaru Sugandhi, Subhojit Ghimire, Santanu Pal, Partha Pakray. Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics: System Demonstrations. 2023.
Rethinking the Role of Entity Type in Relation Classification

Xiang Dai, Sarvnaz Karimi, Stephen Wan. Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers). 2023.
NusaWrites: Constructing High-Quality Corpora for Underrepresented and Extremely Low-Resource Languages

Samuel Cahyawijaya, Holy Lovenia, Fajri Koto, Dea Adhista, Emmanuel Dave, Sarah Oktavianti, Salsabil Akbar, Jhonson Lee, Nuur Shadieq, Tjeng Wawan Cenggoro, Hanung Linuwih, Bryan Wilie, Galih Muridan, Genta Winata, David Moeljadi, Alham Fikri Aji, Ayu Purwarianti, Pascale Fung. Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers). 2023.
Data from Temporal Dissection of Tumorigenesis in Primary Cancers

&lt;div&gt;Abstract&lt;p&gt;Timely intervention for cancer requires knowledge of its earliest genetic aberrations. Sequencing of tumors and their metastases reveals numerous abnormalities occurring late in progression. A means to temporally order aberrations in a single cancer, rather than inferring them from serially acquired samples, would define changes preceding even clinically evident disease. We integrate DNA sequence and copy number information to reconstruct the order of abnormalities as individual tumors evolve for 2 separate cancer types. We detect vast, unreported expansion of simple mutations sharply demarcated by recombinative loss of the second copy of &lt;i&gt;TP53&lt;/i&gt; in cutaneous squamous cell carcinomas (cSCC) and serous ovarian adenocarcinomas, in the former surpassing 50 mutations per megabase. In cSCCs, we also report diverse secondary mutations in known and novel oncogenic pathways, illustrating how such expanded mutagenesis directly promotes malignant progression. These results reframe paradigms in which &lt;i&gt;TP53&lt;/i&gt; mutation is required later, to bypass senescence induced by driver oncogenes.&lt;/p&gt;&lt;p&gt;&lt;b&gt;Significance:&lt;/b&gt; Our approach reveals sequential ordering of oncogenic events in individual cancers, based on chromosomal rearrangements. Identifying the earliest abnormalities in cancer represents a critical step in timely diagnosis and deployment of targeted therapeutics. &lt;i&gt;Cancer Discovery; 1(2)&lt;/i&gt;; 137–43. &lt;i&gt;© 2011 AACR&lt;/i&gt;.&lt;/p&gt;&lt;p&gt;This article is highlighted in the In This Issue feature, p. 91&lt;/p&gt;&lt;/div&gt;
Open Set Domain Adaptation Methods in Deep Networks for Image Recognition

Deep learning (DL) has revolutionized various fields through its remarkable capacity to learn from raw data. However, in uncontrolled environments like in the wild, the performance of these systems might degrade to some extent, especially with unlabeled datasets. Naive approaches train DL models on labeled datasets (source domains) that resemble the unlabeled test dataset (target domain), but nonetheless, this approach may not yield optimal results due to domain and category-shift problems. These issues have been the primary focus of Unsupervised Domain Adaptation (UDA) and Open Set Recognition research areas. To address the domain-shift problem, we introduced the Multi-Source Domain Alignment Layers (MS-DIAL), a structural solution for multi-source UDA. MS-DIAL aligns the source domains and the target domain at various levels of the feature space, individually achieving competitive results comparable to the state-of-the-art, and when combined with other UDA methods, it further enhances transferability by up to 30.64% in relative performance gains. Subsequently, we tackled the demanding setup of Open Set Domain Adaptation (OSDA), where both domain and category-shift issues coexist. Our proposed approach involves dealing with negatives, extracting a high-confidence set of unknown instances, and using them as a hard constraint to refine the classification boundaries of OSDA methods. We assessed our proposal in an extensive set of experiments, which achieved up to 5.8% of absolute performance gains.
A mobile device framework for video captioning using multimodal neural networks

Video captioning is a computer vision task aimed at providing textual descriptions for videos. There are numerous strategies and datasets that can be employed to create models capable of addressing this task. In this study, we have devised a deep learning-based strategy that leverages both audio and image content to generate captions using resource-constrained devices. The datasets utilized include MSR-VTT and TREC-VTT22. We have developed an application tailored for resource-constrained devices that utilizes the optimal model resulting from our training process. Both modalities of data are then combined and processed by the model to generate a comprehensive description related to the captured data. The primary contribution of this work lies in the introduction of an innovative end-to-end application that leverages audio and image data. This application can be utilized on a mobile device to autonomously produce descriptions.
Students’ difficulties in learning English speaking: A case study in a Muslim high school in the South of Thailand

The demand on using English as a means of communication is still a challenge for learners of English as a foreign language. The objectives of this study are finding out students’ difficulties in learning English speaking and the factors causing students' difficulties in learning English speaking. This study is descriptive qualitative. The data were obtained through interview. The research involved 10 students of the second semester of high school in a muslim school, in the South of Thailand. The results of the research showed that the students had difficulties in learning English speaking. In addition, they also have difficulty in pronunciation. Some sounds are difficult for students to produce. This was caused by internal and external factors. The internal factors include motivation, vocabulary, grammar, pronunciation, fluency, shyness and also lack of self-confidence. It made students difficult to speak English. The external factors include the environment, teacher, the facility and the students’ lack of the opportunity to use English.
EFL students’ strategies in learning grammar online

Students' learning strategies are part of teaching and learning success concerns, including in the online grammar class. The research objectives are to describe students' strategies in learning grammar through online grammar classes and to find out the students' problems and solutions in learning grammar online. This research is mixed-method where the data are collected through questionnaires and interviews. One hundred twenty-three students completed the questionnaire, and twelve students were involved in the interview sessions. All respondents are from the English Education Department. The result shows that the students used all learning strategies; memory, cognitive, compensation, metacognitive, affective, and social strategies). However, the highest percentage of the learning strategy employed by the students is cognitive strategies (18.30%), while the least is affective strategies (14.76%). Moreover, students learning grammar online face various problems; an unstable internet connection, having no friends to practice together, difficulty in vocabulary, the lecturer's teaching methods, and punctuality issues.
Using Think Pair Share in Improving Students’ Writing in Descriptive Text

The aim of this research is to find out whether the implementation of Think Pair Share is able to improve the students’ writing skill on descriptive text. This research is design through quasi experimental design where the treatment is administered to the experimental and control class. The sampling is taken by using purposive sampling. The instrument used were test and questionnaires. There were several treatments by the implementation of Think Pair Share the test was given in pretest and posttest. The data was analyzed by using SPSS 26 to get the statistics data of the research. The data shows that the result of posttest for experimental class was higher than the result of posttest in control class. The result of paired sample test of experimental and control class for pre-test and posttest which were normally distributed. It means that, there were significance differences between the average values of the student’ pretest and posttest. It was proven by the significance 2 tailed of 0.000 &lt; 0.005. It can be concluded that, the implementation of Think Pair Share can improve the students’ writing ability in descriptive text.
SIGN LANGUAGE DETECTION AND TEXT TO SPEECH GENERATION

A vital technique for bridging the communication gap between hearing-impaired and normal individuals is sign language. But given the diversity of today's approximately 7000 sign languages, which vary in hand shapes, body part positions, and motion positions, automated sign language recognition (ASLR) is a challenging method. Researchers are looking into more effective ways to build ASLR systems to find intelligent solutions in order to get around this complexity, and they have shown impressive results. This purpose of this work is to examine the literature on intelligent systems for sign language recognition spanning the previous 20 years. 649 publications in all about intelligent systems and decision assistance on the recognition of sign language (SLR) are taken out of the Scopus database and examined. The taken out Using bibliometric VOS Viewer software, articles are evaluated in order to: (1) determine the temporal and spatial distributions of the publications; (2) establish cooperation networks between authors and affiliations; and (3) identify productive institutions within this framework. Additionally, methods for vision-based sign language recognition are reviewed. There is a discussion of the many feature extraction and classification methods utilized in SLR to get high-quality results. This paper's literature assessment highlights the value of integrating intelligent solutions into sign language recognition systems and illustrates that the development of flawless intelligent systems for sign language recognition remains an unsolved challenge. Overall, it is anticipated that this study will aid in the production of intelligent based SLR and the collection of information while offering readers, researchers, and practitioners a road map for future direction.
PROBLEMS FACE BY VOCATIONAL HIGH SCHOOL STUDENTS IN LEARNING ENGLISH AT SMK NEGERI KEBONAGUNG

Learning English is very important especially for education and future, this is because English is one of the international languages ​​used. This case study aims to analyze the difficulties of learning English in grade 10 students at the vocational high school level. This research is mainly to find the students' difficulties in mastering English. This research was conducted at SMK Negeri Kebonagung involving 70 students as subjects. Researchers used a classical and individual approach in collecting data. The data was obtained using a google form which was distributed to 70 students of class x in various majors. The findings show that students' English learning difficulties are: (1) a sense of coercion; (2) mastery of basic concepts/low intake; (3) lack of self-confidence; (4) forgetting factor; (5) have little opportunity to practice. Referring to these findings, it is suggested to teachers and institutions to facilitate and provide high motivation for the students' English learning process.