Reviewerly/exHarmony huggingface dataset:
"Devil's Tango" Plastic Style in Alfred Schnittke’s Opera "The Story of Doctor Johann Faust"

The article examines conceptual approaches to the plastic stylistics of "Devil's Tango" in A. Schnittke's opera "The Story of Dr. Johann Faust" through the prism of postmodern aesthetics. The problem of the Faustian choice in modern society is determined against the background of today's sociocultural challenges. The characteristic features of musical drama are outlined in relation to the selected scenes, and the author also explains the specifics of the plastic solution of the dramatic component in the context of the composer's idea. The concept of stylistic solution of the dance scene "Devil's Tango" is established through the prism of dramaturgical, musicological, and theatrical aspects of the Faustian choice problem. An overview of the evolutionary interpretations of the image of Faust, their correspondence to the aesthetic concepts of certain historical eras, which present a kind of closed circle from the 16th century to the present is reviewed. An analysis of the interpretation of the images of Faust and the devil in A. Schnittke's cantata and opera "The Story of Dr. Johann Faust" was carried out, which made it possible to determine their modifications. The reasons for the composer's choice of the "folk" Faust based on the book by Y. Spies with contradictions in his strength and weakness, in contrast to the idealized and exalted scientist according to J. Goethe, are clarified. The impetus for the interpretation of the image of Faust as a deeply tragic figure who grasped the horror of the wrong choice between the Eternal and the perishable is determined. Three hypostases of the image of the devil are differentiated with different missions and corresponding timbral coloring of the parts: Mephistopheles is a sweet-voiced tempter (countertenor), Mephistopheles is a cruel punisher (contralto), Lucifer is a terrible devil (chorus). It is proved that the musical dramaturgy features of "Devil's Tango" in A. Schnittke's opera require a deep synthesis of traditional and innovative means of scenic expressiveness with their active interaction and syncretic orientation, corresponding to the polystylistics of the composer's method. Prospects for further exploration of directorial interpretations of the Faustian choice problem in the context of a new paradigm of artistic culture and art are predicted.
Collective dialogues on motherhood for feminist futures

This conversation allowed mothers and non-mothers to connect with personal stories and universal struggles during a supportive virtual moment.Some convenors are design researchers, practitioners, students, and/or educators.This conversation also served as a space for designers to reflect on the role and responsibility of design in interrogating reproductive care systems in their current context.The goal of the convenors is to move toward and promote co-designing a preferable feminist future for mothers.There are few spaces like maternal health care and the experience of motherhood that would benefit simply through qualitative data collection, storytelling, retelling, and reflection.Oftentimes, a person's unique experiences are overlooked pieces of data that are characterized by nuanced vulnerability.Storytelling and knowledge sharing have the power to shed light on complex systems, often overlooked, disenfranchised, or undervalued by the socially dominant.During this session, the convenors facilitated a virtual active dialogue that allowed participants to be honest, vulnerable, creative, and speculative.
TEACHER'S PERCEPTION OF ENGLISH LEARNING FOR CHILDHOOD

This research will investigate about teacher’s perception of English learning for childhood. This research is conducted in four kindergartens in Garut with the teacher as the subject. This research aims in digging teacher’s perception of the English learning. This research will use phenomenology research with descriptive interpretation towards English learning phenomenon. In this phenomenology research, the researcher describes nature based experience. The data were collected by interview, observation, and note of the field. Then the data were analyzed through the steps of phenomenology data analysis. The result showed that English is a necessary for Indonesian society. It happens because of globalization claim. In the application, English learning that has been done in kindergarten through song, greeting, or simple instruction and environment labeling by English language.&#x0D;
Edge Computing-based Road Condition Detection Systems for Vehicular Applications

When driving on uneven or wet sliding road surfaces, it is better to slow down to avoid safety risks or hydroplaning. In this paper, we developed a real-time object detection system by applying the YOLO-v4 algorithm and deployed it on an FPGA platform. Our system can detect regions on the road that could have potential threats or make riders uncomfortable, such as potholes when traveling at a high speed. As an alternative to graphics processing units (GPUs), the proposed system leverages field-programmable gate arrays (FPGAs) for computation acceleration of neural networks to provide low latency and has lower energy consumption than GPUs, making it suitable for unmanned aerial vehicles (UAVs) and autonomous driving applications.
RANCANG BANGUN TRANSAKSI RENTAL MOBIL DENGAN TEKNOLOGI WEB PADA ALKO RENT CAR

In this modern era, the world of science and technology is growing rapidly. Along with this, the flow of information is also growing and the need for quality information is increasing. CV. ALKO Rent Car is an individual business engaged in services, especially transportation services.The previous rental process only used a borrowing system through advertisements in print media and only by word of mouth. This is of course a bit detrimental to the company, because if there are customers from outside the city who will use the car rental service, they cannot know the types of cars that will be used and the price of the car rental. By using a transaction system with web technology, it ishoped that the company can increase the number of customers and not only from the city of Semarang. In addition, the admin section will not experience difficulties when writing reports or customer data collection, because customer data collection can be done in an easier way by entering the customer member, the admin section will find out whether the customer has used the car rental service or not.With web technologies such as HTML, CSS, PHP and MySQL databases as well as utilizing the internet network, it is hoped that it can solve problems related to customer reach.This study uses the Borg and Gall (1987) model from 10 steps to 6 steps. The expert system validation test shows the final value of the calculation is 2.5, concluding that it is very feasible to use. User Validation on CV. ALKO Rent Car Semarang obtained a value of 3.0 stating that the system is feasible to use and good.
MimicA: A Framework for Self-Learning Companion AI Behavior

We explore fully autonomous companion characters within the context of Real Time Strategy games. Non-player Characters that are controlled by Artificial Intelligence to some degree, have been a feature of Role Playing games for decades. But RTS games rarely have a player avatar, and thus no real companions. The universe of RTS games where both an avatar and a companion character exist is small. Most friendly RTS units are semi-autonomous at best, requiring player micromanagement of their behavior. We present MimicA, a real-time framework to govern AI companion behavior by modeling that of the current player. Built for the Unity engine, MimicA is a learn-by-demonstration framework that differs from existing practices in that the behavior is fully autonomous, does not rely on previous modeling exercises and is designed to be generalized and extensible. We analyze and discuss MimicA through a thirty person user study with our own demonstration game, Lord of Towers. We find that 22 out of 30 participants (73%) indicate they enjoyed the game, and this self-reported enjoyment was on par with “traditional tower defense games”. 63% agree that MimicA controlled NPCs are doing what the player would do while 20% disagree. Similarly, 53% realize the NPCs are learning from the player while 20% do not. We also show that NPC with underlying Decision Tree and Naive Bayes algorithms are better than KNN in making the player realize the learning nature of the NPC.
The Significance of Students' Perception and Participation on Reading Comprehension at IAIN Padangsidimpuan

This article aimed to find out the influence of students’ perception and participation of Tadris English Department students toward Reading Comprehension learning during the Covid-19 Era at IAIN Padangsidimpuan. The data were collected through students’ perception questionnaires, students' participation questionnaires, and reading comprehension tests. This research was correlational research design using a quantitative method. The subject of the research was the students’ 2nd year English department programs at IAIN Padangsidimpuan. The research sample was taken by using Total population sampling. 65 students have been used as samples in this research. Simple linear regression and multiple regression formula were used to analyze the data. The research findings showed that first, there was a significant influence on students’ perception and their Students’ Reading Comprehension with a score (0.000 0.05). Second, there was a significant influence on students’ participation and reading comprehension with scores (0.000 0.05). Third, there was a significant influence between perception and participation on students reading comprehension with a score (0.000 0.05) at IAIN Padangsidimpuan
Single image fog removal by modified DCP through adaptive retinal mechanism

We propose an image processing model based on Dark Channel Prior (DCP) and the Adaptive Retinal Mechanisms’ function to eliminate fog. Target detection systems are examples of computer vision systems surveillance, and pattern recognition is plagued due to these issues in this study; we present a simple and effective strategy for considerably reducing artifacts in recovered photos while using the ordinary dark channel by modifying the artifacts the dark channel computation. We want to use several approaches to solve image problems with heavy fog. The bipolar cells center-surround opponent mechanisms, and input gratitude cells give way to Interplexiform (IP) cells, which eventually give way to horizontally cells, which aid in enhancing the output image’s borders and intensities. For color enhancement and correction, the colored function of cell bodies is exploited. Finally, Using a luminance-based fusion methodology, we reproduce the improved picture from either the outputs of an on or off-pathway of the fisheye. According to our findings, our method exceeds several government methods in terms of efficiency and restoration quality.
IRemember: Memorable CAPTCHA Method for Sighted and Visually Impaired Users

A CAPTCHA is used to automatically differentiate between human users and automated software to prevent bots from accessing unauthorized websites.Most proposed CAPTCHAs are not accessible to visually impaired users because of the memorability of the CAPTCHA's numerical digits.Recalling six random spoken digits is a difficult task for any human.Visually impaired users must typically play the audio several times to memorize the spoken digits in the correct order.The authors reviewed existing CAPTCHAs for visually impaired users and concluded that the high cognitive load is more susceptible to response errors due to extensive challenge digits intended for visual users.Thus, the authors proposed a novel method that improves current audio CAPTCHA by enhancing the display of the challenge and improving the memorability of its phraseology.The proposed CAPTCHA presents short common phrases, such as "piece of cake."After hearing or seeing the phrases, the users are required to type the first letter of each word from the presented phrases, such as POC for a piece of cake.The study results of 11 visually impaired users concluded that the memorability and success rate for the IRemember CAPTCHA was 82.72%, compared to the audio CAPTCHA at only 48.18%.It has also demonstrated higher memorability and less workload than the traditional audio method.This research indicates that using common knowledge and experience in the design process for a CAPTCHA method for these users can enhance performance and minimize workload and, hence, error rates.
Cultural and Linguistic Conflicts in Cameroon, 1961 - 2020: Looming Threats to Peace and National Unity

This paper examines threats to peace and national unity posed by the challenges of cultural diversity and linguistic conflicts in Cameroon.Given the linguistic and cultural diversity of the country with its more than 250 ethnic groups and a colonial legacy of English and French cultures and languages, plus remnants of a German sub-stratum, the paper reaffirms that there are many potentials ingredients for conflicts in Cameroon.In view of persistence of internal conflicts, the absence of peace and security and the potential for the eruption of large-scale violent internal conflicts, there is urgent need for appropriate policies for managing cultural and linguistic conflicts in Cameroon.Our findings reveal that, to promote fruitful diversity of cultures and avoid linguistic conflicts, the Government of Cameroon must promote indigenous peoples' cultures, formulate coherent language policies, safeguard endangered languages, preserve cultural heritage, encourage cultural production and linguistic research, and mobilize political will in applying the benefits of peace, science and technology to sustainable educational development.Using essentially the qualitativeapproach and consulting both primary and secondary sources, the study concludes that, the government of Cameroon must put in place structures and measures to mitigate the challenges posed by cultural diversity and linguistic conflicts in a bid to enhance social cohesion, peace and national unity in Cameroon.
Implementing Complexity in Automatic Image Caption Generator using Recurrent Neural Network over Long Short-Term Memory

Aim: To grasp the context of a picture and explain it in natural languages, such as English, using an image caption generator and processing ideas.Materials and Methods: The performance analysis for the highest accuracy in picture caption generator using beam search (N=10) and long short term memory (N=10) with 70% and 30% split sizes of training and test datasets, using G-power setting parameters: (α=0.05 and power=0.86)respectively Results: RNN has significantly better accuracy (91%) compared to long short term memory accuracy (76%) and attained the significance value of 0.670 (Twotailed, p>0.05).Conclusion: Recurrent neural networks achieved significantly better classification than Long short-term memory for generating a description of the image.
Penerapan Teknologi Tepat Guna Mesin Pengaduk Pakan Puyuh dengan Metode Horizontal Screw Rotary System di Desa Kedungrejo Kecamatan Muncar

Some of the problems with quails are the price of feed, quails die when laying eggs, and mixing feed manually, so that egg sales cannot cover the cost of feed. The solution offered through this service program is to apply a horizontal screw type mixer machine and provide training on optimal feed composition to reduce the number of quail deaths when laying eggs and increase the number of egg production by evenly mixing the feed. The pre-implementation of this service began with a survey to partner locations in Kedungrejo Village, Muncar, Banyuwangi to discuss the problems of partner and their solutions. The application, operational assistance, and maintenance of a 125 kg capacity mixer machine are carried out in the implementation of the service, as well as training in making optimal feed compositions. The uses of this machine slightly reduce the financial benefits, but it is very helpful in terms of energy and time in mixing the feed, so there are more positive sides with the use of this machine.
MEDIA KOMIK DIGITAL BERBASIS NILAI KARAKTER DALAM MUATAN PELAJARAN IPS TEMA “PAHLAWANKU” KELAS IV SEKOLAH DASAR

This development research aims to: (1) develop digital comic media products based on character values as social studies learning media in the fourth grade of elementary school, and (2) know feasible the digital comic media based on character values that were developed.The research was carried out in class IV SDN Makasar 06 East Jakarta from October 2020 to July 2021.The research method used was the research and development (R&D) method with the ADDIE development model.Data collection techniques using observation, interviews, and questionnaires.The development of research involving multiple respondents, one expert lecturer's material, one media expert lecturer, one lecturer linguist, and learners in grade IV SDN 06 Makasar East Jakarta, amounting to 12 to assess the feasibility of digital comics media products developed.The results showed that digital comic media based on character values was considered very good.This can be seen based on the average value of the material, media, and language expert validation tests of 93.44% in the very good category, and the student trial score of 96.69% in the very good category.Based on the explanation above, this character value-based digital comic media is included in the very good category, so it is feasible to be used as a learning medium in social studies subject matter in grade IV SD.
THE VIEWS OF PARENTS AND TEACHERS ON THE PROVISION OF ENGLISH LEARNING FOR CHILDREN

This study entitled “The Views of Parents and Teachers on The Provision of English Learning for Children” which aims to reveal the views of parents and teachers about giving English language learning to children. The research method used by the researcher in this study is a qualitative research method by conducting observations and interviews with parents and teachers about giving English language learning to children. The results showed that the majority of parents and teachers strongly agreed with the provision of English learning to children because they experienced a period so that it was easier to understand English lessons compared to adults. Others feel ashamed because the children are still too early to learn the lesson. The provision of English language learning has a positive impact on children in addition to communicating; English can also make children able to compete in the world of work in the future.&#x0D;
Prediction of material requirements for network construction using apriori algorithm

PT XYZ is one of the providers of fixed broadband development services spread throughout Indonesia. What often happens is the lack of material availability and the long pre-order process, thus hampering projects that have been agreed upon for completion. The a priori algorithm is one of the data mining algorithms in the association method, which is looking for relationships between interrelated items. This research uses the help of RStudio software. This prediction is expected to help to prepare material stock in the warehouse so as to prevent material vacancies in the warehouse. The results of this study are in the form of a rule that meets the minimum support value (a measure that shows how much dominance an item/item set is from the entire transaction) of 27.84%, minimum confident (a measure that shows the relationship between 2 items conditionally) of 27.84%. 84.48% and the lift ratio (a measure to see whether or not the association rules are formed) is &gt; 1.
Learning Auction in Coded Distributed Computing with Heterogeneous User Demands

Coded distributed computing(CDC) has shown great potentials to solve the unexpected delay caused by stragglers and communication load in distributed computing. We propose a novel learning auction to allocate computing resource efficiently in a CDC scenario. The user demand types are usually het-erogeneous according to different variation trends of the value with finish time and workload, which can be modeled by deep learning. As the goal of social welfare maximizationthe platform would allocate computing resources according to inferred value functions of users. Due to the uncertain finish time and nonlinear structures of deep learning models, the considered optimization problem is non-convex. We then reformulate the non-convex optimization problem into a mixed integer program(MIP). After analyzing the inference error caused by deep learning, a payment rule referred to VCG is designed to achieve incentive alignment and individual rationality. Besides, experiments have been performed to show the superiority of our mechanism.
DESIGN DAN ANALISIS LIFTING ARRANGEMENT YANG OPTIMAL UNTUK PENGANGKATAN PROJECT MODUL BERRI BERLOKASI DI PERUSAHAAN SAIPEM TAQA AL-RUSHAID YARD

Lifting Arrangement is a platform for the process of using cranes, in this final task discussing the operation of a platform located in the main deck conducted in Saipem Taqa Al-Rushaid Yard Company. The analysis of this research is focused on the Penganangkatan tool because it has different types and types. The size of the Platform has a length of 34714 m, width of 18700 m and weight 221.51 tonnes. The most critical part of this lifting process is the angle determination for each wire sling because the crane is used for different types and types. The Minimum Angel used in the process of the Pengkatan this platform for Crane 1 is 69 º, Crane 2 is 69 º, Crane 3 is 71 º and the Crane 4 is 71 º.
Democratizing Urban Data - A smartphone-based framework for rapid cataloging of geolocated street-level imagery and visual content analysis

The commercial availability of high-resolution street view imagery, most notably Google Street View, has led to its widespread use in urban analytics research over the past couple of years.Recent developments in computer vision, most notably semantic segmentation and object detection, have made it possible to extract and map the visual features of streetscapes (such as buildings, automobiles, green cover, pedestrians etc.) using geo-located street level photographs.However, the absence of such detailed imagery in many parts of the world stands as a significant deterrent to these research methodologies.A majority of countries in Africa, the Middle East, as well as some parts of Asia currently have limited coverage by street view image providers.The cost component and equipment involved in manual data collection stands as a barrier to accessible urban visual data.This paper demonstrates a quick and inexpensive smartphone-based framework for rapid and inexpensive collection and cataloging of geolocated street-level imagery.The user walks/drives down the streets to be mapped with a smartphone, as a first-person egocentric hyper-lapse video is recorded with a fixed frame interval, along with location information for the path taken.The video frames are then automatically extracted, geo-referenced and stored in a readily retrievable format.This data can then easily be used for urban feature extraction through computer vision workflows.For demonstration, imagery has been cataloged for a ~1.5 sq.km urban area in New Delhi, and then processed through a semantic segmentation workflow for visual feature mapping.It is hoped that this framework plays a role in democratizing access to street level data for students and researchers regardless of national boundaries.