Reviewerly/exHarmony huggingface dataset:
COMPLAINING STRATEGIES USED BY THE EFL LEARNERS OF ENGLISH STUDY PROGRAM IN RIAU

Complaint commonly appears in daily life interaction (Sukyadi, 2011). People do not only provide words when they speak up but also deliver an action. The way how they complain is sometimes different. Hence, the study described in this article aimed to investigate the types of complaining strategies produced by the EFL learners of the English Study Program at Universitas Riau. The research was conducted in Pekanbaru. Research design used was a descriptive qualitative study accompanied by descriptive statistics. The participants of the research involved 36 EFL students of the English Study Program selected by using the cluster random sampling technique. The data were collected by using a DCT( Discourse Completion Task) system consisting of some situations in which students were requested to express their complaints. The result showed that the students mostly used direct complaint strategies. Subsequently, based on the overall strategies, the direct accusation strategy appeared as the strategy mostly employed by students in their daily interactions. It means that they prefered to give a direct and simple complaint by using a question to accuse the complainant directly. Moreover, they complain about something by using an Indonesian structural context as their L1, which was not appropriate in the English structural context as their L2. One of the strategies that were not used by the students was the direct strategy to condemn or curse the defendant’s actions because it was claimed as a harsh accusation.
Hybridization of Divide-and-Conquer technique and Neural Network algorithm for better contrast enhancement in medical images

The aim of this work is to propose a new method for optimal contrast enhancement of a medical image. The main idea is to improve the Divide-and-Conquer method to enhance the contrast, and highlight the information and details of the image, based on a new conception of the Neural Network algorithm. The Divide-and-Conquer technique is a suitable method for contrast enhancement with an efficiency that directly depends on the choice of weights in the decomposition subspaces. A new hybrid algorithm was used for the optimal selection of weights, considering the optimization of the enhancement measure (EME). To evaluate the proposed model's effectiveness, experimental results were presented showing that the proposed hybrid technique is robustly effective and produces clear and high contrast images.
Hybrid Deep Learning Signature based Correlation Filter for Vehicle Tracking in Presence of Clutters and Occlusion

This vehicle tracking is an important task of smart traffic management. Tracking is very challenging in presence of occlusions, clutters, variation in real world lighting, scene conditions and camera vantage. Joint distribution of vehicle movement, clutter and occlusions introduces larger errors in particle tracking based approaches. This work proposes a hybrid tracker by adapting kernel and particle-based filter with aggregation signature and fusing the results of both to get the accurate estimation of target vehicle in video frames. Aggregation signature of object to be tracked is constructed using a probabilistic distribution function of lighting variation, clutters and occlusions with deep learning model in frequency domain. The work also proposed a fuzzy adaptive background modeling and subtraction algorithm to remove the backgrounds and clutters affecting the tracking performance. This hybrid tracker improves the tracking accuracy even in presence of larger disturbances in the environment. The proposed solution is able to track the objects with 3% higher precision compared to existing works even in presence of clutters.
Meningkatkan Kemampuan Public Speaking bagi Generasi Muda Di Desa Tebing Sari Kecamatan Belitang Madang Raya

The objective of this program to give knowledge of English, to motivate children in Tebing Sari village to be more enthusiastic in learning English and give confidence to children to speak in English. Based on the teaching process in this program, it can be seen that the children gave a positive response by joining the regular learning schedule, their speaking skills improved and they could confidence to speak in English in public.
Office Aplication Training ( Ms Office ) For The Community Of Holtekamp Village

Based on the survey results, it is concluded that there was a lack of knowledge and skills of the Holtekamp village community, especially young people, church administrators and village officials in operating Office Applications (MS Office). This training aimed to provide knowledge and skills about the importance of mastering Office Applications (MS Office), namely word processing (MS Word), Spreadsheet data processing (MS Excel) and MS Power Point for presentations. The methods used in this training was mentoring method with lecture techniques to explain theory and practice directly on a computer that has MS Office installed. The training was carried out for 7 days with 3 hours of meetings. The number of participants who participated in the training was 23 people. The result of this training is that the level of knowledge and skills of the trainees increased from the Pre Test results of 34.42% to the Post test results of 90.7%
DEVELOPMENT OF EDUCATIONAL GAMES BASED ON INTERACTIVE POWERPOINT MATERIALS OF SUBSTANCES AND ITS CHANGES

Learning media aims as a communication tool to convey a material in learning. Developing an Interactive PowerPoint-based Educational Game Media is one of the general objectives of this research. The development model used in this research is ADDIE (Analysis, Design, Development, Implementation, and Evaluation). However, the Implementation phase was not carried out due to the pandemic. The data obtained are qualitative data types (from the media development process) and quantitative data (from data validation results by media experts). This research resulted in a product in the form of an interactive PowerPoint-based educational game media material substance, substance and its changes, which have been validated by several experts, namely material expert lecturers, media expert lecturers and science teachers at Al-Furqan Madrasatul Qur'an Tebuireng Jombang Middle School. With a validation score of 2.98 out of 4.00 which is categorized as valid.
Peace linguistics and traditional ways of conflict resolution in Terver Udu’s Ikyav Saan Aga Saan and Sam Patrick Terngu’s Adezungwen

Conflicts occur between people, institutions, tribes and nations and cold be resolved when language and dialogue are effectively used. Peace linguistics and traditional ways of conflict resolutions in Terver T. Udu’s Ikyav Saan Aga Saan and Sam Patrick Terngu’s Adezungwen examines the causes of conflicts, explores the language of hate speech and states traditional ways of resolving conflicts in the select texts. This study adopts Coleman’s (2006) Human Relations Paradigm (HRP) for conflict resolution. The model emphasises the prominent roles that human social interactions play in resolving conflicts. The model uses mediation, integrative negotiation and constructive controversy as parameters for conflict resolution. Methodologically, this study used purposive sampling technique. The choice of the two select texts was deliberate hence the texts are laced with conflicts and how they were amicably resolved using traditional methods. The study used primary and documentary sources. The primary sources are Udu’s Ikyav Saan Aga Saan and Terngu’s Adezungwen while the documentary sources are journal articles, theses, glossary and textbooks. As data analysis, the select texts were read, data relating to causes, language of hate speech and resolution of conflicts were grouped and translated into English and then analysed. It was revealed that domestic conflicts could be resolved using human relation mechanism and nonviolent communication. This study has presented Tiv culture where the voices of the elders are respected and their decisions were unanimously accepted. Finally, peace repairs broken relationships and enhances progress. Traditional rulers should apply the solutions proffered by Terver Udu and Sam Paddy Terngu in their fictional texts to resolve conflicts in their domains.
Pelatihan Penulisan Abstrak dalam Karya Ilmiah pada Mahasiswa Prodi Farmasi S1 Universitas Bhamada Slawi

The benefits of writing a scientific paper for college students are being able to develop the idea based on sources and build systemic mindset. One of the parts in the scientific paper is an abstract consisting of background, objective, method, result, conclusion, and key words; it can be written in Bahasa Indonesia and English. The abstract facilitates readers in understanding the contents of the scientific paper. Based on the result of questionnaire, the problems faced by the pharmacy students are that (1) 80% of them have never written an abstract; (2) 53% of them have not known the elements of abstract; and (3) 84% of them had difficulty in writing an English abstract. The public service aimed to provide knowledge and training on writing an abstract both Bahasa Indonesia and English for pharmacy students of University of Bhamada Slawi. By lecture, discussion, and practice, the results of public service showed that 95% of participants have known and written the elements of abstract in Bahasa Indonesia, 78% of participants could compose an abstract in Bahasa Indonesia and 71% of participants were able to write abstract in English.
A Genre Pedagogy for Teaching Young EFL Learners of English Village of Parit Baru

This case study aimed to find out the implementation of a genre pedagogy under systemic functional linguistics (SFL) framework or under Sydney School to teach the English language to young English as a Foreign Language (EFL) learners of English Village of Parit Baru, Kubu Raya, West Kalimantan. Fifty-two young EFL learners were involved in this study. The data collection used two instruments, namely participant observations and documentation. The data analysis reveals that genre pedagogy elements could help the young EFL learners in constructing and communicating their texts independently. Also, the learners’ texts are following the schematic structures and linguistic features of the spoken genres the learners learned. To help the learners to cope with the teaching activities, songs and games activities were used to build their interest in the English language, new vocabulary, and practices to communicate their texts. This means that a genre pedagogy under the SFL framework could be integrated with joyful activities that not only provide guidance but also promote enjoyable learning in building the English language capacities of the young EFL learners in a non-formal educational context.
A Multimodal Hate Speech Classification Process Using Dual Feature Extraction Techniques

Racist and ethnic violence, fabricated persecution, and some form of intimidation are all risks associated with hate speech, which is a concern with natural language processing. Given the sensitivity of hate speech in our society, it is essential to classify speeches into hate and non-hate categories in real time to minimize its risks. The main objective of this work is to investigate selected supervised machine learning algorithm model for the classification of hate speech on social media. The term frequency-inverse document frequency (TF-IDF) and bag of words (BOW) models were used by the model to extract features. Porter’s stemming model and WordNet for lemmatization are used during the preprocessing step. The datasets were trained using logistic regression, naive Bayes, and random forest, and logistic regression was also utilized to create the classifier. For training purpose, 80% of the datasets was used to train the model and 20% was used for testing the model. Results obtained from the application of Logistic Regression algorithm revealed 98% accuracy and 98% F1-score. These scores indicate high accuracy in hate speech detection and classification.
PENGARUH PERILAKU MENYIMPANG PESERTA DIDIK TERHADAP PRESTASI BELAJAR DI KELAS VII

ABSTRACTThis study aims to determine how much influence the student's deviant behavior has on learning achievement in class VII. The research method used is descriptive in the form of quantitative research. The sample in the study was class VII students totaling 31 students who were taken and the data was in the form of a statement questionnaire about deviant behavior with 8 indicators, namely truancy, chatting during class hours, running from school during class hours, not doing school homework, not wearing a belt. or socks, being late, cheating, and dating. Based on the results of the data analysis that the researchers conducted, it was concluded that: 1) deviant behavior resulted in the results of 61.30% (19 students) having a moderate category. 2) Social studies learning outcomes obtained by 74.2% (23 students) have a medium category. 3) the influence of deviant behavior with learning achievement is 0.60 with a standard significant level of 0.05 (5%) So that the results of t count &gt; t table are 9.673&gt; 1.695. From the results of the study, it can be concluded that there is an unfavorable influence between the deviant behavior of students on learning achievement in class VII. In the learning process the greater the deviant behavior, the negative effect on learning achievement as well as the smaller the deviant behavior, the learning achievement will increase.Key Words: Deviant Behavior, Learning Achievement
The Development of Contextual Learning Model Based on School and Family Collaboration in Culturing Serfisona Content Characters atTK Santa Melania Sarudik

This study aims to describe the development, impact, and development factors of contextual learning based on school and family collaboration in inculcating characters with Serfisona content in students in Santa Melania Kindergarten.This research is icluded of development research or research and development (R&D).Sources of research data are principals, teachers, parents and students.Data collectionn techniques using observation, interviews and documentation.The results showed that the implementation of the contextual model was carried out through a learning process collaboration between schools and parents combined with the use of guidebook media.The implementation of contextual strategies has an impact on improving the quality of learning, increasing students' appreciation of the character of Serfisona, especially discipline and responsibility.The implementation of contextual strategies is influenced by several factors, namely facilities and infrastructure, teacher academic competence and qualifications, teacher activity in teacher deliberation activities, and parental activity in inculcating character at home.
Simple Temporal Networks for Improvisational Teamwork

When communication between teammates is limited to observations of each other's actions, agents may need to improvise to stay coordinated. Unfortunately, current methods inadequately capture the uncertainty introduced by a lack of direct communication. This paper augments existing frameworks to introduce Simple Temporal Networks for Improvisational Teamwork (STN-IT)—a formulation that captures both the temporal dependencies and uncertainties between agents who need to coordinate but lack reliable communication. We define the notion of strong controllability for STN-ITs, which establishes a static scheduling strategy for controllable agents that produces a consistent team schedule, as long as non-communicative teammates act within known problem constraints. We provide both an exact and approximate approach for finding strongly controllable schedules, empirically demonstrate the trade-offs between these approaches on benchmarks of STN-ITs, and show analytically that the exact method is correct.
Anomaly Localization at High-Density Crowd Using Motion Shape Image (MSI)

Anomaly localization plays a critical role if a disaster occurs in a high-density crowd to efficiently rescue the crowd from the right location. This paper enriches anomaly localization by introducing new localization features, in addition to the ‘only’ localization feature of source/start point detection existing literature offers. New features introduced include crowd density estimation in localized regions and direction/angle of a localized region. A motion shape image (MSI) based approach is introduced for localization and features detection and experimentation is performed on benchmark and our proposed high-density crowd datasets.
Development of Home-Based Smart Ugali Cookerfor DomesticApplication

An ordinary house has several chores that need to be done daily or for some days every week. It starts with house cleaning, laundry, kitchen-related chores, and family upkeep. These are works carried out by women in most cases and in most families. However, with the advances, changes, and evolutions being observed in our societies, the case is changing worldwide. Equalityin engagement in education and production has brought a balance in such duties which are now carried out by both men and women, from one perspective. On the other perspective, women carry fewer house chores being engaged in other socio-economic activities. Most families and schools in Tanzania and Africa at large take posho (ugali) as a staple food. The whole process of preparing ugali is complex and time-consuming yet other house chores need attention as well. This has increased the need to simplify several house chores since individuals need less contact time with house-oriented activities, and need increased efficiency while putting more focus on other production activities. The development of a home-based smart ugali cooker is rather a needed contribution to the bigger environment of house automation and smart homes. The Home-Based Smart Ugali Cooker is an embedded machine created with the sole aim of easing the process of ugali cooking in households. The machine is created focusing on the smartness of the system, automation, kitchen fitting, neatness, and user-friendliness. This paper illustrates the operations of a home-based smart ugali cooker, which is an embedded system, as well as different components used in creating it. It also explains the advantages it has over the ordinary processes usedin preparing ugali and the way forward.
WORKSHOP ONLINE PEMBELAJARAN BAHASA INGGRIS

The COVID-19 pandemic has had an impact on various aspects of life. One of them is in the education aspect, the government establishes a School From Home (SFH) policy or school from home so that learning activities are carried out using online media. In addition to learning activities, training activities in the form of workshops also do not escape the online atmosphere. This activity was held to increase the enthusiasm for learning English during the pandemic, using the Zoom media which is devoted to daily activities. This training was attended by high school/vocational high school students in Palembang City and students from severaluniversities in South Sumatra Province. This activity succeeded in making the activity participants able to convey daily activities in English properly and correctly, then in this activity, the participants gained a depth of knowledge on how to use good grammar in learning English.
Sulfide ore deposits remote detection in the Rio Tinto area, terrestrial analog of Mars

Data from martian rovers and martian meteorites indicate the presence of ore minerals.There are three spectrometers, CRISM (Compact Reconnaissance Imaging Spectrometer for Mars; spectral range 0.4-3.9μm) onboard Mars Reconnaissance Orbiter (MRO), as well as OMEGA (Observatoire pour la Mineralogie, l'Eau, les Glaces et l; Activité, 0.4-5.1 μm ) and PFS (Planetary Fourier Spectrometer, 1.3-45.0μm) onboard Mars Express (MEX), that operate in the near infrared (NIR) spectrum and provide information on the mineral composition of Mars.None of them, however is already capable to efficiently identify sulfides.Detecting sulfide ore deposits is difficult in NIR due to spectral interferences with silicates.Because of the limited insitu measurements by the Opportunity, Spirit, Curiosity, and Perseverance rovers, Mars mineralogical studies must be supported by studies of terrestrial analogs.One example is the Rio Tinto area in Andalusia, Spain, which hosts the largest known volcanogenic massive sulfide deposits on Earth.In this area, we analyzed satellite images in the NIR spectrum and detected pyrite from the orbit.Landsat 8 Collection 2 Level 2 images (30 m/pixel), ASTER L2 Surface Radiance VNIR and Crosstalk Corrected SWIR (09XT; 15-30 m/pixel), and Sentinel 2 of Level 2a (10-20 m/pixel) habe been used.We have tested several RGB band compositions as well as band maths and band rations.For preliminary pyrite identification we have chosen the following solutions: 1) RGB: 7 6 4, RGB: 5 6 7, RGB: 6 3 2 for Landsat 8; 2) RGB: (5 × 6)/7, (4 × 6)/(5 × 2), (5 × 6)/(7 × 2), RGB: 42, 45, 56, RGB: 1 2 3 for ASTER 09XT; 3) RGB 12 11 2 for Sentinel 2a.Within the selected areas, spectral signatures have been checked and compared to the labolatory patterns.The identified pyrite locations will be then investigated during field studies in Rio Tinto area planned to March 16-28,2022.
Frame Detection in German Political Discourses: How Far Can We Go Without Large-Scale Manual Corpus Annotation?

Automated detection of frames in political discourses has gained increasing attention in natural language processing (NLP).However, earlier studies in this area focus heavily on frame detection in English using supervised machine learning approaches.Addressing the difficulty of the lack of annotated data for training and evaluating supervised models for low-resource languages, we investigate the potential of two NLP approaches that do not require large-scale manual corpus annotation from scratch: 1) LDA-based topic modelling, and 2) a combination of word2vec embeddings and handcrafted framing keywords based on a novel, expert-curated framing schema.We test these approaches using an original corpus consisting of German-language news articles on the "European Refugee Crisis" between 2014-2018.We show that while topic modelling is insufficient in detecting frames in a dataset with highly homogeneous vocabulary, our second approach yields intriguing and more humanly interpretable results.This approach offers a promising opportunity to incorporate domain knowledge from political science and NLP techniques for exploratory political text analyses.
Electronic Music in St. Petersburg: An Overview. Interview with Composer Alexander Kharkovsky

In his interview the St. Petersburg-based composer Alexander Kharkovsky, a specialist in electronic music and an organizer of electronic music concerts, tells about his own musical compositions, and also presents the history of the formation and the development of electronic music in St. Petersburg, starting from the 1970s. He describes the musical compositions and the artistic paths of the primary pioneers of electronic music in St. Petersburg, such as Sergei Belimov and Anatoly Korolyov, recounts about the musical compositions and musical activities of younger electronic composers, such as Sofia Levkovskaya, Svetlana Lavrova and others, and also tells about his participation in various events devoted to contemporary music, including electronic music, such as the festival From the Avant-Garde to the Present Day, the activities of the PRO ARTE Institute and the eNsemble contemporary music ensemble, the lectures of Moscow-based electronic music specialist Andrei Smirnov. All of this presents a lively picture of the contemporary music scene in St. Petersburg in the late 20th and early 21st century.