Reviewerly/exHarmony huggingface dataset:
Pelatihan Teknis Peningkatan kemampuan Bahasa Inggris Bagi Aparatur Sipil Negara (ASN) Di Lingkungan Pemerintah Provinsi Sumatera Barat

Community service as one of the Tri dharmas that must be carried out by lecturers aims to provide knowledge and experience regarding the use of English in the scope of daily activities and the working atmosphere of ASN in the Province of West Sumatra. This training is packaged through a hybrid workshop held during the Covid 19 pandemic which was taken place from 9-18 March 2022. The focus of this training activity is the mastery of spoken English, correspondence, and TOEFL to support the role of ASN as public servants. This material is based on the results of a pre-test conducted a few days before the training day which concluded that most of the selected ASN in the province of West Sumatra is at the Basic to Intermediate level. This service team is STBA Prayoga lecturers who have the duties and functions of a planning and implementing team. The implementation phase included the process of providing material through zoom meetings and Moodle for 3 days and then continuing with the implementation of community service activities for 5 days. The results of the service show that ASN who take part in the training are able to use English actively in the form of presentations, understand how to correspond formally and formally, and increase TOEFL scores.
Voluntary Disclosure in Leader-Follower Games

We study voluntary disclosure strategies in leader-follower games where firms choose real actions sequentially after simultaneously disclosing information. We show that the leader incurs an endogenous consistency cost when withholding information because it must choose a suboptimal real action to avoid that its private information is revealed to the follower. This consistency cost induces the leader to disclose more information in equilibrium than an equally informed follower. We establish this result in the context of a voluntary disclosure model with uncertain information endowment and show that it is robust under alternative modeling choices regarding the disclosure friction, the number of followers, and the impact of firms' private information on their rivals' profit.
Rationalization of Rainfall Station Network in Welang Watershed Using Kagan-Rodda Method

Rationalizing rainfall station is important to get an effective and efficient number and distribution of rainfall stations. If rationalization isn’t carried out, it affect to operating and maintenance costs of rainfall stations and accuracy of data. This study aimed to evaluate existing rainfall station and rationalize rainfall station, so rainfall station’s location is evenly distributed. This study is located in Welang watershed with an area 477.78 km2. This research requires rainfall ground data from 9 rainfall stations and CHIRPS satellite rainfall data from Google Earth Engine. The data is tested with consistency, stationary, suitability, and rationalization based on World Meteorological Organization (WMO) standards and Kagan-Rodda method. Later, new rainfall station networks will be obtained with the influence area of rainfall stations suitable to WMO Standard. CHIRPS data is highly suitable with ground data, proven by high NSE, strong correlation, and low relative error, so CHIRPS data can be used for further analysis. According WMO, only 1 rainfall station in Welang watershed has been suitable for WMO standard. Those unsuitable with WMO standards need to be rationalized. Based rationalization results, with average error &lt;10%, Welang watershed requires 4 rainfall stations by maintaining Lawang Station, moving Telebuk to Station B, Selowongko to Station C, and Tutur to Station D. The influence area of recommendation rainfall stations have been suitable to WMO Standards and obtained even distribution rainfall stations. This recommendation are expected to be considered by relevant institutes to move the location of the rainfall station to get more accurate rainfall data.
Textile Wastewater Decolorization by Pleurotus ostreatus in Organic Material Board Media

The textile industry in one of the fastest industries that grow today. However, the increased activity makes the production of liquid wastewater also increased because the use of water reaches 80% in production. The wastewater can endanger the aquatic ecosystems because it contains toxic dyes. Pleurotus ostreatus has ligninolytic enzymes that are capable of degrading synthetic dyes into non-toxic forms to the environment. This study aims to determine the optimum contact time of P. ostreatus in organic material board media for the best result in textile wastewater decolorization. This research used an experimental method. The research consisted preparation of P. ostreatus isolate, making of seed media, inoculation into seed media, making of log media, inoculation into log media, making of board media, and decolorization process. The parameters tested were different contact time (24, 48, 72, 96, 120, 144, and 168 hours), Total Dissolved Solid (TDS), pH, and temperature. The result of this research was that the treatment of P. ostreatus in organic material board media can decolorize textile wastewater. The value of highest decolorization percentage was 35,69% at 24 hours contact time. There are change of TDS, pH, and temperature on before and after namely 835 to 566, 8.7 to 7.62, 28.3 to 31. This board system is promising for wastewater treatment.Keywords:decolorization, textile wastewater, P. ostreatus, board media
Machine learning based robotic End Effector System for Monitoring and Control of External Bleeding of Vehicle Accident Victims, Review Paper

Vehicle accidents are on the rise in the roads due to over speeding, poor roads, and misjudgment during driving, not forgetting overloading and lack of proper vehicle maintenance. Private transport has increased rapidly, thereby resulting in many accidents on the roads. Whenever there is an accident, it has been realized that some accident victims who would have survived the accident end up dead due to continuous bleeding. As a result, many lives are lost because of a lack of emergency measures to avoid that constant loss of blood through external bleeding. In this regard, there is a need to design a robotic system based on machine learning (ML) to monitor and control the external bleeding from vehicle accident victims in the shortest possible time through the utilization of software such as SolidWorks, Matlab, and proteus. The nanotechnology-based system interfaced with the robotic end-effector shall be used to apply to stop gel through the utilization of Comsol software. The robotic system shall be integrated with a monitoring system for precise and useful quantification of the bleeding wound, thus the importance of machine learning to achieve accurate information. Keyword : Robotic end effector, Machine Learning, nanotechnology, monitoring of external bleeding.
Structure and Reciprocity in Technology-Centered Q&amp;A Communities

In this paper we examine the network structure of the MythTV mailing list, an online technology Q&amp;A user community, and we use time-series analysis techniques to study users’ reciprocity behavior in this community. We find that the amount of help users provide is strongly correlated to the amount of help they receive. Further, by conducting the Granger Causality test on the time series data of active users’ activity, we find that the amount of help given is actually the reason why one gets a lot of help. This finding corresponds to the concept of directed reciprocity in social networks and provides insights into social dynamics in technology-centered online communities.
Interview with Composer and Pianist Sergei Oskolkov

In this interview the famous St. Petersburg-based composer and pianist Sergei Oskolkov tells about his music, his biography and about the festival for the arts “Sergei Oskolkov and his Friends” of which he is the artistic director. The musician presents a characterization of the main stylistic parameters of his music and how there are manifested in certain particular musical compositions of his written in the genres of opera, orchestral, chamber, piano and incidental music for the theater. He describes the festival for the arts directed by him, which has been organized for the last 25 years in St. Petersburg and its suburbs. According to the main principles of its organization, classical and contemporary music, paintings, poetry, cinema and presentations of new books are demonstrated in it on an equal footing.
Role of Course and Individual Characteristics in the Course-level Persistence Intentions of Online Undergraduate Engineering Students: A Path Analysis

Online learning is increasing in both enrollment and importance within engineering education.Online courses also continue to confront comparatively higher course dropout levels than faceto-face courses.This research paper thus aims to better understand the factors that contribute to students' choices to remain in or drop out of their online undergraduate engineering courses.Path analysis was used to examine the impact of course perceptions and individual characteristics on students' course-level persistence intentions.Specifically, whether students' course perceptions influenced their persistence intentions directly or indirectly, through their expectancies of course success, was tested.Data for this study were collected from three ABET-accredited online undergraduate engineering programs at a large public university in the Southwestern United States: electrical engineering, engineering management, and software engineering.A total of 138 students participated in the study during the fall 2019 (n=85) and spring 2020 (n=53) semesters.Participants responded to surveys twice weekly during their 7.5-week online course.The survey asked students about their course perceptions related to instructor practices, peer support, and course difficulty level, their expectancies in completing the course, and their course persistence intentions.This work is part of a larger National Science Foundation-funded research project dedicated to studying online student course-level persistence based on both students' self-report data and course learning management system (LMS) activity.The survey sample was consistent with reports indicating that online learners tend to be more diverse than face-to-face learners.Findings from the path analysis revealed that students' perceptions of course LMS fit, perceived course difficulty, and expectancies of course success positively and significantly predicted persistence intentions, making them the most important influences.Expectancies of course success had a direct effect on persistence intentions.The findings underscore needs to elucidate further the mechanisms through which expectancies of success influence persistence.
Students' Perceptions on Online Learning During the COVID-19 Pandemic

Abstract&#x0D; The impossibility to continue the conventional classroom created an inevitable situation where online learning is the most suitable solution at the moment to keep up the learning process amidst the pandemic. It is presumably familiar to students, but the sudden change of online learning being applied sporadically to regularly arise an issue of how the students perceive, access, react to it and the challenges they face. This study aims to find out students’ perceptions on online learning during the COVID-19 pandemic and the subject of the study is students of the English Study Program of Riau University. Descriptive approaches to quantitative methods were used in this study. Google form was used to collect the data and there were 127 students that participated in filling out the questionnaire. SPSS 26 was used to analyze the collected data. The findings revelead that students’ perceptions were negative toward online learning. The three main reasons affecting the result were the lack of enthusiasm, internet sustainability, and technical issues. &#x0D;
Using the Creative Process for Sound Design Based on Generic Sound Form

Building on recent research in musical creativity and the composition process, this paper presents a specific practical application of our theory and software to sound design. The BigBang rubette module that brings gestural music composition methods to the Rubato Composer software was recently generalized in order to work with any kinds of musical and non-musical objects. Here, we focus on time-independent sound objects to illustrate several levels of metacreativity. On the one hand, we show a sample process of designing the sound objects themselves by defining appropriate datatypes, which can be done at runtime. On the other hand, we demonstrate how the creative process itself, recorded by the software once the composer starts working with these sound objects, can be used for both improvisation with and automation of any defined operations and transformations.
Cognitive Computing Smart System: How to Remove Ambiguities

The purpose of this paper is to accurately distinguish a series of ambiguities commonly encountered in human-computer interaction through smart system studied and cognitive computing methods, and then make reasonable predictions and responses. The method is as follows: first, make a basic classification of the various ambiguities encountered by cognitive computing and smart systems, then make a corresponding match for each type of ambiguity, and then apply the theory of smart system engineering to guide the translation or interpretation. The characteristic is that the process of prediction and decision-making is the integration of formal methods based on rules and statistics. The result is the discovery of an efficient way to resolve various ambiguities in a trinity of the natural language understanding, expert knowledge expression, and software pattern recognition. Its significance lies in the acceleration of the formation of the disruptive innovation system of the core basic invention of the new general information technology and its supporting software and hardware technologies, and the popularization of the Z standard of cultural gene system engineering practice. In the author’s opinion, the first meaning is to regard mind as an attribute of brain, and the second meaning is to further regard language, knowledge, and software as attributes of mind.
Implementation of E-Commerce and Web-Based Company Profile on CV. Andromeda Multi Sarana

CV.Andromeda Multi Sarana (AMS) is a company engaged in swallow consultants that provides solutions for farmers in conventional and modern cultivation in selling wallet business products. The wide sales area for wallet products proves that AMS is successful in marketing wallet products. At AMS, purchase data and wallet product data are processed manually, making it difficult to process large amounts of data and reporting is not integrated to the AMS leadership. The E-commerce system and company profile on AMS are made web-based using the prototype system development method which is useful in facilitating the process of completing the stages of making the system and according to the wishes of the user. The E-commerce system and company profile on AMS produce an integrated system capable of processing large amounts of data and a website that functions to expand AMS' market share with a company profile that explains the purpose of AMS.
Super-Resolution Using Enhanced U-Net for Brain MRI Images

Super-resolution is an important technique in image processing.It overcomes some hardware limitations failing to get high-resolution image.After machine learning gets involved, the super-resolution technique gets more efficient in improving the image quality.In this work, we applied super-resolution to the brain MRI images by proposing an enhanced U-Net.Firstly, we used U-Net to realize super-resolution on brain Magnetic Resonance Images (MRI).Secondly, we expanded the functionality of U-Net to the MRI with different contrasts by edge-to-edge training.Finally, we adopted transfer learning and employed convolutional kernel loss function to improve the performance of the U-Net.Experimental results have shown the superiority of the proposed method, e.g., the resolution on rate was boosted from 81.49% by U-Net to 94.22% by our edge-to-edge training.
Introduction of cluster technology in the educational process of the university

Abstract. The article discusses cluster technologies in the field of education, based on the synthesis of systems theory and cognitive science, providing the ability to manage systems, including the educational system, to ensure the best results and efficiency. The cluster approach involves a fresh look at the process of education (training), which allows us to consider the relationship, continuity and mutual influence of various elements of the educational system on its results. In educational activities, cluster technology is used in the process of studying material within the framework of academic subjects for the best understanding of complex phenomena. The purpose of the study is to consider the essence and structure of the concept of «cluster technology» and determine the effectiveness of its application. Methods used in the study: literature review, pedagogical experiment, comparative analysis. The experiment involved two groups of students, one of which mastered educational material on cluster technology in accordance with the methodology of M. A. Veryaskina and E. I. Zaikina. As a result of the study, it was confirmed that the possibilities of using cluster technology in the educational process should be considered an effective tool for the didactic presentation of complex phenomena. The study conducted by the author showed that the introduction of cluster technology in the educational process of the university shows an effective result.
Proposal for the Improvement of the Maintenance Planning System using E-maintenance and data analysis: Case Study

This article proposes to optimize the planning process of the maintenance service of a company dedicated to the commercialization of analytical instruments using an Emaintenance strategy. The diagnosis was made using Power BI software, centralizing the information on work times in recent years, including the year 2020, an atypical year due to Covid-19 . T he efficiency of each collaborator and the direct work time indicator obtained were analyzed, allowing better decisions to be made in the work planning process. Power BI was chosen as the E-maintenance tool since it allows all the files and information generated by the after-sales staff to be in a centralized location. Likewise, the impact of the maintenance planning and programming process was analyzed, obtaining as a diagnosis that the personnel are dedicated 37.6% to direct work and 62.4% to non-direct work, which represents an efficiency of the man-hour cost of the 35% . Regarding the research methodology, it is of an applicationexperimental level. Achieving as estimated results in the proposal to improve the planning process; direct work time increased by 51% and non-direct work time decreased by 49% , which represents a man-hour cost efficiency of 49% . The case study concludes with the improvement of the planning process and therefore of staff productivity by 36% .
Pengembangan Teks Tulisan Penjelasan sebagai Bahan Ajaran Melalui Pendekatan Genre Expository dengan Media Visual di Kelas XI SMA

This study aimed to develop an expository writing text module with an expository genre approach. The study used the 4D research and development method by Thiagarajan. The stages of this research method are carried out at the stage of defining, designing, and developing without conducting the dissemination stage. The data consisted of primary and secondary data. The secondary data were taken from articles from relevant previous studies, and books. While the primary data are taken directly from experts in the form of an assessment of teaching material products. The study used the documentation techniques. The study used questionnaire to collect data. Then the collected data will be analyzed by using the data analysis technique of Miles and Huberman. Through the assessment of material experts, the resulting module received a final score of 3.88 as very valid criteria, and the overall average score of the product design assessment by design experts was 3.67 as very valid criteria. Based on these results, it is concluded that the prototype of the explanatory text writing module with visual media developed is valid and feasible to be tested for the next stage, namely the dissemination stage.&#x0D; &#x0D;
Development of “AMICO” website as a media of non-judgemental expression for youth

&lt;span id="docs-internal-guid-eed4d6f8-7fff-4a7d-35d4-9ba500c2d575"&gt;&lt;span&gt;Everyone has problems and complaints that they faces. However, not everyone can easily share their complaints and feelings with others because of various factors that bother them. AMICO is an interactive website that the author created to help those who want to share their problems and even their works in a forum that allows anonymity. This study aims to see how much young people are interested in using AMICO and the impression they give after using AMICO. In this study using a quantitative approach and using the method of action. Data retrieval was carried out using a Google Form containing questions about the Amico website itself, both from the features provided, the design used, and others. The distribution of Google Forms is carried out via Internet Relay Chat (WhatsApp) and social media (Instagram). The number of respondents was 35 people with an age range of 15 to 25 years. The results showed that most of the testees considered the AMICO website to be innovative and Amico is a good medium of sharing their issues and their works.&lt;/span&gt;&lt;/span&gt;
Levels of Supervision for Object Classification in Overhead Imagery

Unsupervised and semi-supervised learning computer vision techniques have greatly improved in recent years on natural imagery. However, the efficacy of such methods on remote sensing data has not yet been extensively studied. A series of comparative experiments herein using SimCLR and equivalent ResNets on the DOTA and FAIR1M remote sensing datasets explores this topic. Results indicate that SimCLR outperforms its equivalent traditionally supervised ResNet on these data at 1% or 10% supervision - or where approximately 100 training samples or less are available per class-but traditional models excel with higher quantities of labeled data.
Model Konstruktivistik Terhadap Peningkatan Kemampuan Menulis Teks Ceramah Siswa

Abstract. This research aims to describe the influence of constructivistic models on improving the ability to write lecture texts for students in class XI of IPS Sma Negeri 16 Makassar. This research is a class action study. The subject in this study was the students of class XI ips sma Negeri 16 Makassar which amounted to 36 students. This research data was collected from tests of the ability to write lecture and observation texts. Furthermore the data is analyzed using quantitative description analysis and qualitative analysis. The results showed that the activities shown by students from activities that had been carried out in cycles 1 to 2 showed different attitudes. After the action is carried out in cycle 2 students become more active in learning, students are not silent and passive in cycle 1 but students follow the instructions given by researchers, besides that students also show interest and enthusiasm in the learning process. The spirit of students in the learning process is very visible and students more often ask related questions that are not yet understood. Student test scores at the time of student presiklus activities that reached KKM as many as 2 people or by 5%. In cycle 1 activities, students who reached KKM as many as 10 students or by 27% in cycle 2 students who reached KKM as many as 32 students or as many as 88%.Keyword: Reading, Talk Text, Constructivistic model