Reviewerly/exHarmony huggingface dataset:
Indonesian Spelling for Village Officials in Donorojo Village, Magelang Regency

Background. Letter writing in Indonesian is an important part of written communication, both in the context of official letters and everyday communication. However, there are still frequent errors in its use, especially in terms of the use of capital letters, spelling, and punctuation. These errors were also found in official letters issued by government agencies in Donorojo Village, Mertoyudan District, Magelang Regency. Based on these problems, the UNS MBKM grant team conducted outreach to Donorojo village government officials regarding the management of letter writing as an effort to enforce Law No. 24 of 2009, emphasized PP No. 57 of 2014, and Minister of Education and Culture Regulation No. 42 of 2018. Purpose. The purpose of this activity is to increase understanding of the use of EYD in government staff correspondence products in Donorojo village. Method. The method used is socialization and mentoring using presentation materials and interactive games. This activity is divided into three stages, namely preparation, implementation, and evaluation. The preparatory phase involved needs analysis, participatory approaches, and the development of socialization materials. The socialization was carried out by providing material and understanding about PUEBI. The evaluation stage is carried out through games involving standard and non-standard words. Results. The result of this activity is an increase in understanding of the use of Enhanced Spelling (EYD) in government staff correspondence products in Donorojo village. Conclusion. Governance of correspondence in government agencies is regulated in the law, in particular, Article 33 paragraph 1 which reads "Indonesian must be used in official communication in government and private work environments".
Quantum key distribution in a packet-switched network

Abstract Packet switching revolutionized the Internet by allowing the efficient use of network resources for data transmission. In a previous work, we introduced packet switching in quantum networks as a path to the Quantum Internet and presented a proof-of-concept for its application to quantum key distribution (QKD). In this paper, we outline a three-step approach for key rate optimization in a packet-switched network. Our simulated results show that practical key rates may be achieved in a sixteen-user network with no optical storage capacity. Under certain network conditions, we may improve the key rate by using an ultra-low-loss fiber delay line to store packets during network delays. We also find that implementing cut-off storage times in a strategy analogous to real-time selection in free-space QKD can significantly enhance performance. Our work demonstrates that packet switching is imminently suitable as a platform for QKD, an important step towards developing large-scale and integrated quantum networks.
Developing english supplementary book in teaching speaking skill used visio media for 7 grade at MTs Syekh Subakir

&#x0D; &#x0D; &#x0D; &#x0D; Abstract: The purpose of this study was to determine the results of validator validation and student responses to the product that the researcher had developed in the form of a supplementary book with a combination of Visio media to test 16 7B grade students. MTs Syekh Subakir 1. This study uses Research and Development (R&amp;D) used Borg and Gall theory (2003). The material presented in the media is descriptive text and this additional product focuses on speaking skill. Data collection technique were carried out used unstructured interviews and surveys. The instruments used are interview guidelines and questionnaires used a Likert scale. Based on the results of the validation carried out by material and media experts, from the results of student responses, the percentage of results obtained were 82,3%, 83,3%, and 79.8% with the criteria "Good or Valid or useful". so, it can be concluded that additional descriptive text books as learned media are very well used in the English learned process.&#x0D; &#x0D; &#x0D; &#x0D;
DEVELOPING READING BOOK THROUGH EXTENSIVE READING ‘UNSKILLED JOBS’

Extensive reading material is reading material that can help students improve their reading skills in speed and increase vocabulary. Some reading materials discuss professional occupations such as doctors and teachers. However, not many introduce unskilled work, even though this work is an existing job and has even existed for generations. This research on the development of extensive reading materials aims to produce a book product on the types of untrained/academic work. This book introduces these types of unskilled jobs in West Kalimantan. As reading material, this book is an alternative reading in English with vocabulary that are easy to understand in the local context. This book is used as supplementary reading material for Tanjungpura University’s students.
The Comparison of Conversational Features Used by Joe Biden and Donald Trump in Political Debate

Conversation analysis is used to identify the use of features in an interaction by considering the institutional settings or situation. Here, political situation is used because of the condition of controlled situation must be different. This study aimed to compare the conversational features used by Joe Biden and Donald Trump in the final presidential election debate of America in 2020. This was a qualitative study using the conversational analysis approach proposed by Schegloff (1974). The data were analyzed based on the conversational features used including turn-taking strategies, adjacency pairs, and repairs. The results found there were some similarities and differences of conversational features used by both candidates. The similarities showed both speakers preferred to use most of all turn-taking strategies, types of first and second-pair parts, and repair strategies. Besides, the differences were found in the number of conversational features used. Donald Trump tent to use more features since he used more turn-taking strategy to take the turn during the debate. In sum, in political setting, people tend to take more turn to share their idea and respond the other. It affects the use of another conversational features including the frequency of using them. Furthermore, the result of comparing using three features in a political situation becomes the novelty of this research since this setting is a rare topic in conversation analysis. This result is also contributed on enriching references of future research using conversation analysis specifically in a political setting.
A Relation Between Efl Students’ Needs And Teachers’ Teaching Strategies To Encourage Students’ Involvement

Online English teaching and learning during the pandemic is challenging for teachers and students. One of the problems encountered by teachers is maintaining students’ involvement in class discussions. To maintain students’ involvement, it is important to implement strategies that meet students’ needs. This study aims at describing students’ objective and subjective needs in learning English. This study was descriptive qualitative in nature. It was conducted at SD Daniel Creative School, Semarang. 184 students and 6 English teachers were involved in this study. This study used a questionnaire, classroom observation sheet, and interview as the instruments. The result revealed that for objective needs, many students still needed help in mastering some areas, such as listening, speaking, reading, writing, vocabulary, and grammar. For subjective needs, many students had low self-confidence and self-esteem in learning English. In addition, the students also mentioned their expectations of teachers’ teaching strategies. The observation showed that the strategies implemented by the teachers were effective to fulfill students’ needs and to encourage their involvement in class discussions. Unfortunately, the teachers did not implement all the strategies consistently to fulfill students’ needs. As the result, students’ involvement was still low. Thus, this study implies a suggestion for English teachers of the school and English teachers, in general, to consistently implement teaching strategies that meet students’ needs to encourage students’ involvement.
The Effect of SQ3R Method On Improving Students’ Reading Skill

The comprehension of reading texts and searching for information in texts requires methods in their implementation. One of the things that influences learning to read text is the information in the text and the student's reading method. Therefore, the most effective reading learning method is needed to be applied, and the learning method chosen is the SQ3R method. The purpose of this research is to see how the SQ3R approach influences students' understanding, knowledge, and interest in reading texts in class VIII SMP Muhammadiyah 4 Kebomas Gresik. The method used in this research is experimental research with a true-experimental design (pre- and post-test). The sample for this research is the class VIII students of SMP Muhammadiyah 4 Kebomas Gresik. Data collection used reading text information learning assessments and reading information tests to determine whether they correctly understood the content and information of the text they read. Non-test data collection using observation and photo documentation. The results of this study are that (1) the SQ3R learning method is effective in identifying reading text information for class VIII students of SMP Muhammadiyah 4 Kebomas Gresik, with an average increase of 61.90 to 78.81. This is evidenced by the sign value = 0.000 &lt;0.05, which means that there is a significant difference in learning outcomes between the pretest and posttest experimental groups using the SQ3R learning method. Learning to read texts based on class VIII students of SMP Muhammadiyah 4 Kebomas Gresik using SQ3R is an effective learning method. This learning result has increased from an average of 61.90 to 78.81. This is evidenced by the sign value = 0.000 &lt;0.05, which means there is a significant difference in student learning outcomes in the pretest posttest experimental group using the SQ3R learning method.
Intricacies of utilizing Turnitin tool in agricultural extension content writing in Nigeria

The study analyzed how Turnitin misjudges semantics used in agricultural extension writing in Nigeria. The paper applied thematic content analysis on 30 selected extension contents from Nigerian sources. Codes, percentage count and line graph were used in analysing data. The results show the inability of Turnitin to recognize agricultural extension semantics, such as, &ldquo;The study was designed to&hellip;&rdquo;, and &ldquo;The result shows that&hellip;&rdquo; which were flagged most with 81.0 and 75.0% occurrence, respectively. The text similarity was highest in the methodology section of the work, followed by the literature review section for empirical papers while text similarity peaked in the main body of the paper for non-empirical papers. The paper concludes that Turnitin algorithm is a text matching tool that cannot recognize semantics used in extension in Nigeria. Manual review and/or recalculation of Turnitin text similarity index were recommended.&nbsp; &nbsp; &nbsp; Key words: Extension content, plagiarism, integrity, intellectual property, text similarity Turnitin.&nbsp
Development of Prediction Models for Needs and Resources Service Using Big Data Related to Elderly Care

Objectives: In this study, we aimed to verify the possibility of utilizing the integrated case management big data in Korea to identify the complex care needs of the elderly in the community and link them to appropriate resources through a machine learning-based predictive model. Methods: Three merged datasets were made by combining different combinations of the data from integrated case management, elderly care service, and Community Integrated Care Leading Project conducted in Korea. Due to the issue of multiple selection of the response variables, the analysis considering multi-label classification method was conducted. The performance of the predictive model was evaluated based on the F1 score. Results: (1) ‘Maintaining daily life’ and ‘Health’ labels in the needs, (2) ‘Maintaining physical health’ and ‘food, clothing and shelter’ labels in the problem domain, (3) ‘Physical health’, ‘daily life’, and ‘housing’ labels in the major classification of resources, and (4) ‘meal food support’, ‘disease prevention and health care’, and ‘living environment improvement’ labels in the major classification of resources showed F1 ≥ 0.8. Conclusions: In this study, we verified that the elderly need-resource linkage prediction based on big data for integrated case management was at an appropriate level, and the possibility of supporting integrated case management using this was confirmed.
Classroom Interaction in the Teaching of English at a Private High School in Indonesia

This study aimed to analyze the indirect and direct talk, response and initiation, and silence of teacher and student interaction in the teaching of English. This research employed an exploratory mixed method. The subject of this study was the English teacher and twenty-seven students of an English class of eleven grade in Madrasah Aliyah Futuhiyyah-2 Mranggen. The data was collected using observation, interviews, and questionnaires. The talk was analyzed using Flanders's theory (1965), modified by (Amatari, 2015; Sharma &amp; Tiwari, 2021). The result of this study showed that the average value of activities carried out by teachers during learning is 62.44%. The average score of student activity was 29.16%. The total value of teacher and student activities is 91.6%. The value of silence is 8.33%. The percentage of teacher and students talking in the classroom interaction indicates a high tendency to accept feelings and praise or encouragement, lecturing, and responses. The indirect and direct talk implemented in classroom interactions showed that indirect 41,62% was higher than direct talk 20,82%. The response and initiation showed that the students pay attention well to the teacher and sometimes give initiation. The domineering talk caused silence showed that the use of silence was low. Viewed from the number of average scores produced by teacher of 62.44% and student talk of 29.16%, it can be concluded that the percentage of teachers talk is higher than students. This research could help teachers to evaluate their teaching activities. Additionally, for students, the findings of this study can increase participation using the initiation category.
Achievement Strategies in Facing Communication Breakdown Used by the Learners in the Basic Speaking Class of Kampung Inggris Jogja

The present study examines learners' strategies in a basic speaking class at Kampung Inggris Jogja to overcome communication breakdowns and effectively convey their ideas and messages to their interlocutors. Furthermore, the study aims to investigate the achievement strategies within the framework of Celce-Murcia et al. (1995) in the classroom interactions among the learners at Kampung Inggris Jogja. A qualitative methodology, specifically discourse analysis of spoken interactions, was utilized to analyze the collected data. Data was gathered through observation of the learners' interactions and recording of their conversations. The investigation revealed that the learners at Kampung Inggris Jogja utilized various achievement strategies in their interactions. However, the foreignizing strategy was not observed among the participants. The strategies most frequently employed by the learners included code-switching, literal translation, non-linguistic means, restructuring, and retrieval. Additionally, the study indicated that learning activities, topics, and environments significantly impacted the learners' communication. Internal factors, such as vocabulary mastery, knowledge of proper grammar, and motivation, played a crucial role in the learners' speaking performance. It is essential to acknowledge the limitations of this study and recognize the need for further research to build upon these findings. Nevertheless, the results of this study contribute to a more comprehensive understanding of the strategies utilized by learners to overcome communication problems and have implications for language teaching and learning in similar contexts. The study highlights the significance of the findings for future research and language education.
DEVELOPMENT OF AUDITORY PERCEPTION OF MUSICIANSINSTRUMENTALISTS WITH VISUAL IMPAIRMENTS

The article focuses on the auditory perception of students with profound visual impairments. The category of "perception" is considered in psychology as a process of reflection in the consciousness of an integral sensual image of an object or phenomenon. In the musical-aural perception of musicians with visual impairments, the subjective image of an object, phenomenon or process directly affects the auditory analyzer, and in a latent form the system of motor and tactile analyzers. Musical sound is understood as a pitch or noise sound, carrying the function of a means of a specific semantic expression. The auditory sensations appear due to the effects of periodic oscillations of sound waves on the auditory receptor. The shape of a sound wave's oscillations is reflected in a specific quality — the timbre of sound. When playing a musical instrument, the performer extracts a sound with a certain pitch, dynamics, timbre and duration. The article emphasizes that the development of musical ear of visually impaired musicians, as the ability to perceive and represent musical images, are inextricably linked to the images of memory. It is important that perceptual skills at the level of sensations and auditory perception are formed and developed under the influence of living conditions, training and the requirements of musical and practical activity.
PPlot, a webapp to partition geochemical data and isolate mixed subpopulations using probability plot modeling

Statistical methods are mostly designed to handle datasets comprising statistically single normal or log-normal populations, but geochemical and geophysical surveys usually deviate from this expectation. A reason for this is the heterogeneity in the occurrence of geological objects, so the complete dataset may correspond to multiple mixed subpopulations. Specifically, multiple mixed subpopulations can refer to differences between mineralized and barren areas, different geochemical facies of a geological unit, or contaminated and healthy areas. This implies a restriction on using classical or even robust statistical estimates, unless the underlying subpopulations can be extracted from the dataset. The probability plot can be used to assess a dataset and to infer a possible combination of subpopulations, either normal or log-normal, whose combination may generate it. The web-based app PPlot, presented in this paper, allows the plotting of the probability plot of a dataset and modeling the underlying subpopulations present in it, either automatically or manually. After modeling the dataset by the application, the user will obtain numerical results and plots of the range of values that delimit each subpopulation, as well as the mean and standard deviation for each of them. Computer-generated and real datasets were used to validate the procedure and coding, and an example of usage is presented. The app was developed using HTML5 and JavaScript and it runs in any modern browser, and is freely available in https://pplotweb.firebaseapp.com/.
Double Issuer-Hiding Attribute-Based Credentials from Tag-Based Aggregatable Mercurial Signatures

Attribute-based anonymous credentials offer users fine-grained access control in a privacy-preserving manner. However, in such schemes obtaining a user's credentials requires knowledge of the issuer's public key, which obviously reveals the issuer's identity that must be hidden from users in certain scenarios. Moreover, verifying a user's credentials also requires the knowledge of issuer's public key, which may infer the user's private information from their choice of issuer. In this paper, we introduce the notion of double issuer-hiding attribute-based credentials ( <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math>${\sf DIHAC}$</tex-math></inline-formula> ) to tackle these two problems. In our model, a central authority can issue public-key credentials for a group of issuers, and users can obtain attribute-based credentials from one of the issuers without knowing which one it is. Then, a user can prove that their credential was issued by one of the authenticated issuers without revealing which one to a verifier. We provide a generic construction, as well as a concrete instantiation for <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math>${\sf DIHAC}$</tex-math></inline-formula> based on structure-preserving signatures on equivalence classes (JOC's 19) and a novel primitive which we call <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">tag-based aggregatable mercurial signatures</i> . Our construction is efficient without relying on zero-knowledge proofs. We provide rigorous evaluations on personal laptop and smartphone platforms, respectively, to demonstrate its practicability.
Intelligent Computation Offloading for Joint Communication and Sensing-Based Vehicular Networks

To realize an intelligent cooperative vehicle infrastructure system and high-level autonomous driving, the introduction of the joint communication and sensing (JCS) technique in vehicular networks is indispensable. With directional beamforming, the vehicles equipped with JCS systems could utilize unified radio-frequency transceivers and frequency band resources to achieve vehicle-to-infrastructure (V2I) communication and sensing functions in different directions, respectively. In this concept, we study the computation offloading problem for JCS-based vehicular networks. Specifically, we formulate a long-term multi-objective problem that jointly optimizes the task execution latency and the sensing performance of multiple vehicles. Owing to the time-varying V2I channel gain, the time-varying impulse response of sensed target, and the stochastic traffic, we reformulate it as a Markov decision process and propose a double-stage deep reinforcement learning-based offloading and power allocation (DDOPA) strategy to determine the task offloading and power allocation for each vehicle. Simulation results demonstrate the efficacy of the proposed strategy compared with different strategies, and show that the proposed DDOPA strategy can achieve a trade-off between execution latency and sensing performance.
Flower Pollination Inspired Algorithm on Exchange Rates Prediction Case

Flower pollination algorithm is a bio-inspired system that adapts a similar process to genetic algorithm, that aims for optimization problems. In this research, we examine the utilization of the flower pollination algorithm in linear regression for currency exchange cases. The solutions are represented as a set that contains regression coefficients. Population size for the candidate solutions and the switch probability between global pollination and local pollination have been experimented with in this research. Our result shows that the final solution is better when a higher size population and higher switch probability are employed. Furthermore, our result shows the higher size of the population leads to considerable running time, where the leaning probability of global pollination slightly increases the running time.