Reviewerly/exHarmony huggingface dataset:
Analysis of A Two-Axis Solar Tracker System: Case Study

The environmental pollution that arose from the 20th century has led to the search for clean and renewable energies, so this research aims to determine the efficiency of a two-axis solar tracker system, through the analysis of the data obtained. In view of the fact that it remains perpendicular to the solar rays for a longer time, which automatically moves to the point where the radiation source is. Mathematical models were considered for this study based on parameters of time, voltage, solar radiation, temperature, ultraviolet radiation, inclination angles, and cardinal points, to which the panel was directed during the test days. The efficiency given by the solar panel was obtained as 15.34% on average among monocrystalline silicon solar panels. It was concluded with the analysis of the most relevant data that are, the voltage, the solar radiation, and the angle of inclination to determine with these three parameters if the dual-axis tracker system had an excellent capture of solar radiation in the test days, in order to make the collection and production of solar energy more efficient.
Improved Transcription and Speaker Identification System for Concurrent Speech in Bahasa Indonesia Using Recurrent Neural Network

Bahasa Indonesia is one of the most prominent low-resource Languages that still lack development in regards to communication-assisting technology. This paper proposes an improved system for generating transcript and identifying speakers from a concurrent speech in Bahasa Indonesia. The proposed method is applicable in a situation such as an online meeting and remote conference. The system combines Reinforced Learning (RL) Model with pitch-aware speech separation to identify the speakers in a concurrent speech. A Recurrent Neural Network (RNN) is utilized to generate the text transcript which is later improved by an external language model and spelling correction model. The proposed system was able to identify up to 5 speakers with a variable degree of confidence and generate a transcript for each of them with better quality compared to other methods when evaluated with several metrics. The result shows that the proposed method perform better compared to the baseline method, even in the single-speaker situation, and function in the simultaneous-speech situation, with an average Word Error Rate (WER) of 16.59% for two speakers, 26.72% for three speakers, and 31.50% for four speakers.
The Students’ Strategies in Developing Their Ideas in Writing Essay

This research aimed to find out the students strategies in developing their ideas in writing essay in at fourth semester in IAIN Curup who have best score in writing essay. This research is a descriptive research which is presented in qualitative way. The researcher have two research questions, the research question are: the first what are the students’ strategies in developing their ideas in writing essay. The second what are the students’ problem in developing their ideas in writing essay. Subject of the research was 10 students at fourth semester on 2019-2020 academic years of English Study Program at IAIN Curup. The instrument of the research was used interview. In analysis data, first researcher identified and check data that be collected. After that, researcher describes all the data. Next the researcher classified the data of the students which is used the strategy or not.
Impact Of Public-Political Factors On Transformational Processes In National Banking Systems

After the global financial crisis, banks must reconsider their position in the light of profound changes in the economic, social and political spheres, which are causing transformation processes.On the one hand, we emphasize the benefits of banking relationships that establish close contacts with the bank's customers.Through a long-term orientation, economic relations banking evens out incentives, it supports the long-term needs of the bank's clients, which leads to lower inequality and increased innovation in the economy.On the other hand, the interaction between politics and the banking system can cause transformational development and have negative aspects.First, with new frontiers and competition in banking, banking can be particularly prone to political interference.Second, the shock from a bank's relationship can be passed on to its borrowers.We consider how banking relations can overcome their shortcomings in the context of the systematic transformational impact of administrative and state-political factors on the banking system of the national economy.The article provides an overview of the current scientific literature of domestic and foreign authors, considering the impact of administrative instruments for regulating banking competition, as well as the boundaries of state intervention in banking activities.The main features of the state's impact on the national banking system and the conditions for such a process have been determined.The negative aspects of the excessive influence of political institutions and regulatory bodies of economic, monetary management on the transformation processes in the banking system are revealed.
Data Analysis from Two-choice Decision Tasks in Visual Information Processing

Data analysis are important tasks in research. The present study focuses on the analysis of data sets from human eye movement experiments. The results of the experiments were analyzed according to two criteria â€“ gender and age of the participants. The participants were divided into 3 groups, respectively group 1: between 20 and 35 years, group 2: between 36 and 55 years and group 3: between 56 and 85 years. The results showed that 75% of the two-choice decision tasks were solved correctly. This trend was maintained among the participants from group 1 â€“ respectively 75.4%. The participants from group 2 gave more correct answers â€“ respectively 82.2%, but the participants from group 3 gave fewer correct answers â€“ respectively 70.2%. The average value of the response time indicator (of all participants) was 1455 ms. The response time of the participants from groups 1 and 2 was shorter than the average (respectively with 483 ms and 235 ms). The response time of the participants from group 3 was longer than the average (respectively with 626 ms).
Design of Camera Application with Physical Sensation Based on Analog on Digital (AoD) Theory

This paper focuses on analog camera, which is making a comeback in recent years after a period of decline since 1990’s. After examining the reasons for the popularity of analog cameras, the authors look into the factor of physical feeling users have when operating analog tools, which corresponds with users’ physical sensation better than with digital tools. Users get the actual feeling and joy of operating the camera tool through the experience of film-based, analog photographing and physical dial operation, which digital or smartphone cameras cannot easily provide. This paper aims to make the design of smartphone digital content application reflect the physical sensation of using analog tools. We also consider a design method of representing the physical sensation of using analog tools in digital media, taking the example of analog camera. In order to meet users’ desire to “get the sensation of using analog tools” and to enable them to have the complete experience of using analog camera on their smartphone, the design method provides functions comparable to those of analog cameras by limiting smartphone functions, and represents the complete film-based photographing experience.
Hybrid Recommender for Research Papers and Articles

In digital libraries and other e-commerce sites, recommender system is the solution that supports the users in information search and decision making.Some of these recommender systems will make predictions by matching the content of an item against the user profile otherwise known as Content-Based recommendation approach.Other recommenders will provide recommendation based on ratings of items from current user and other users and then use it to recommend similar items the current user has not seen, this is known as Collaborative-Based recommender approach.There exist several other approaches that are used in recommending articles and other items to users of different search engines.Over the years several researchers have tried combining these approaches in an attempt to design more efficient recommendations in search engines.This research proposed and designed a prototype of a Hybrid recommender called Zira, which is a model that combines both the Collaborative filtering, Content-based filtering, attribute-based approach to look at contextual information as well as an item-based approach that will solve the issues associated with cold-start problems all working concurrently to complement one another.The proposed system supports multi-criteria ratings, provide more flexible and less intrusive types of recommendations to ensure the improvement in recommendations of e-learning materials to users of digital libraries.
Representing word meaning in context via lexical substitutes

Representing the meaning of individual words is crucial for most natural language processing (NLP) tasks. This, however, is a challenge because word meaning often depends on the context. Recent approaches to representing word meaning in context rely on lexical substitution (LS), where a word is represented with a set of meaning-preserving substitutes. While face valid, it is not clear to what extent substitute-based representation corresponds to the more established sense-based representation required for many NLP tasks. We present an empirical study that addresses this question by quantifying the correspondence between substitute- and sense-based meaning representations. We compile a high-quality dataset annotated with lexical substitutes and sense labels from two well-established sense inventories, and conduct a correlation analysis using a number of substitute-based similarity measures. Furthermore, as recent work has demonstrated the efficacy of system-produced substitutes for word meaning representation, we compare human- and system-produced substitutes to determine the performance gap between the two. Lastly, we investigate to what extent the results translate to the fundamental semantic task of word sense induction (WSI). Our experiments show the validity of LS for word meaning in context representation and justify the use of system-produced substitutes for WSI.
PERANCANGAN MEDIA PEMBELAJARAN LAGU DAERAH DENGAN ANIMASI INTERAKTIF MENGGUNAKAN ADOBE FLASH

The Indonesia has cultural diversity according to existing regions, one of which is folk songs. It takes the participation of teachers in schools for the introduction and learning of culture in order to remain sustainable. SD Negeri Pejagalan 05 Elementary School Jakarta, has not yet developed computerized learning media for cultural subjects, especially folk songs. Teaching about culture, especially folk songs in schools only focuses on theoretical giving. At the time when learning arts and culture experienced quite a lot of difficulties considering the diversity of regional cultures in the archipelago. The use of learning media as a learning aid is very much needed, while the tools for introducing culture are also very minimal. Based on observations, interviews and analysis of this study using the PIECES theory. Researchers develop learning media in the form of animation, using Adobe Flash CS6 software. In this animation, the material in the form of text and audio is accompanied by an image in the form of a map of Indonesia. The result of this research is the creation of an interactive application of learning folk songs with the Adobe Flash Professional CS6 program. The implementation of the application is made according to expectations
On Some Peculiarities Of Student Independent Work In Contemporary Conditions

Independent work of students is becoming one of the major components of the educational process at the university in contemporary conditions.The ratio of time allotted for classroom and independent work of students has changed towards an increase in the latter in the Federal State Educational Standards of new generation.The classroom load is minimized in some disciplines.The primary focus is made on student independent work.The past period of isolation of citizens during a virus pandemic made it necessary to switch to distance education in universities.Distance education is actually based on student independent work.The student must independently write short lecture notes, select the required literature, draw up a plan for presentations at seminars, solve issues of different levels of complexity, write term papers, various reports, essays, etc.Studies have shown that students, especially first year students, have virtually no independent work skills.There is a need to improve the process of student independent work.A significant factor is the teacher's readiness for such work.It is essential to develop appropriate methodical materials for all types of classes.The availability of a sufficient number of exercises and tasks with sample solutions and detailed explanations is relevant.The teacher must clearly understand the ultimate goal of this work: what knowledge, abilities and skills the student should acquire and what competencies are formed in this case.Independent work of students develops creative thinking, teaches research work, fosters responsibility for their work, and motivates to study each academic discipline.
Designing and implementing a tool to transform source code to UML diagrams

Currently, reverse engineering is considered as a significant process to extract the design information and abstractions of a system from the present software.The extracted source codes have been converted into a certain structure to be easily analyzed in the following procedure.For facilitating the software process development, it might be optimum to have tools beingcertain which generate automatically or help UML generating models from the codes as a source.The current study focuses on the reverse engineering process regarding the python and java source codes to the behavior diagrams: the use case and the activity diagrams which might be of high importance in the process of software maintenance.This approach is carried out in the current study in the application referred to as the RCUML tool with the use of the python language which helped in understanding python and java source codes in the software application, and enabling visualization regarding the software behavior.
Contrastive Analysis of British and American English in Relation To Teaching English as a Foreign Language

This research was a descriptive research which was aimed at finding out the similarities, dissimilarities and the contributions of the contrastive analysis on teaching English as a foreign language. The data of this research were collected through library and internet sources. The researchers use comparative descriptive method to analyse the data. The obtained results was the comparison of American and British English in vocabulary, grammar, spelling, pronunciation and the contributions of them in teaching English as a foreign language. The research finding shows that British and American English are very similar in many aspects. Even though British and American English are mostly similar, they also have some differences. The difference of British and American English can be found in terms of vocabulary, grammar, spelling and pronunciation. Among them, vocabulary is the largest one. It is suggested that lecturers and teachers aware of the similarities and differences between British and American English in teaching English as a foreign language so that it will lead to the successful teaching of English including its varieties.
Design and Implementation of Human-Computer Interaction System in Parallel Digital Library System Based on Neural Network

Information and communication technologies are well thought-out as probable assets for the development of socioeconomics in developing countries. Studies have shown that enhanced infrastructure of telecommunication has facilitated means for underserved population development by various ways. Among the existing applications of ICT, the digital library systems provide with better solutions and respond to a variety of unmet needs of research institutions, scientific communities, and developments. With the development of digital library technology, the parallel database system has become the main tool for efficient information processing in the digital library system. On this basis, based on the parallel environment of the computer cluster, by coordinating the communication in the parallel environment, the coordinator, the collection machine, and the query processor can complete the operation of distribution, load, and maintenance, which has high efficiency and saves much precious time, supports the digital library to meet user requirements effectively, and meets the digital library’s performance requirements for data, and also, the key problem in the parallel algorithm has been solved. The experimental results show that this parallel technique has very good performance and efficiency.
The Influence of Transformations in the Modern Labour Market on Foreign Language Courses at Universities

The topicality of the study is determined by the discord between the foreign language teaching standards in Russian universities and undergraduate and graduate students’ requirements oriented towards the modern labour market. Having obtained a specialty, university graduates may work in different fields or change their job profile altogether; the borders of professions and professional standards are undergoing changes as well. The aim of the study is to show the necessity to transform foreign language teaching standards at the university level in accordance with the recent and ongoing changes in the job market. The hypothesis of the study is that foreign language teaching standards in Russia should integrate communicative competence, critical and creative thinking, and learning to learn as necessary components. It is suggested that students of non-philological specialties should be taught two or three foreign languages instead of only advancing their command of English. The hypothesis was confirmed by the polls conducted among undergraduate and graduate students of the College of Asian and African Studies (CAAS, Lomonosov MSU), over 2019-2020. The study resulted in developing a new standard of teaching foreign languages at the CAAS, which includes teaching two European languages alongside an oriental/African one, and creating a new structure of the English language course oriented towards developing soft skills rather than a purely linguistic component. Thus, the study seeks to substantiate the need for the new standard by the requirements of the modern job market and graduates’ demands. Creating the new standard targeting soft skills development and teaching two European languages is a practical result of this work.
Efficient English Translation Method and Analysis Based on the Hybrid Neural Network

Neural machine translation has been widely concerned in recent years. The traditional sequential neural network framework of English translation has obvious disadvantages because of its poor ability to capture long-distance information, and the current improved framework, such as the recurrent neural network, still cannot solve this problem very well. In this paper, we propose a hybrid neural network that combines the convolutional neural network (CNN) and long short-term memory (LSTM) and introduce the attention mechanism based on the encoder-decoder structure to improve the translation accuracy, especially for long sentences. In the experiment, this model is implemented based on TensorFlow, and the results show that the BLEU value of the proposed method is obviously improved compared with the traditional machine learning model, which proves the effectiveness of our method in English-Chinese translation.
GIS-based identification of areas that have resource potential for sediment-hosted Pb-Zn deposits in Alaska

First posted May 20, 2021 For additional information, contact: Director, Geology, Geophysics, and Geochemistry Science CenterU.S. Geological SurveyMS 973, Box 25046Denver, CO 80225 A state-wide Geographic Information System analysis was conducted to assess prospectivity for lead (Pb) and zinc (Zn) in sediment-hosted deposits in Alaska. The datasets that were utilized include publicly available geospatial datasets of lithologic, geochemical, and mineral occurrence data. Key characteristics of Pb-Zn deposits were identified in available datasets and scored with respect to relative importance. To evaluate resource potential, drainage basins of the smallest size were chosen, each of which covers approximately 100 square kilometers (km2). Drainage basins are the most logical and efficient unit for evaluation because the most regionally robust dataset comes from stream sediment geochemistry.Sediment-hosted Pb-Zn deposits in Alaska include those contained in carbonate rocks (similar to Mississippi Valley Type or MVT deposits) and those contained in clastic-dominated (CD) sequences (CD Pb-Zn), historically referred to as SEDEX (sedimentary exhalative). The latter include the deposits currently being mined in the Red Dog district in the western Brooks Range. Host rocks for the two subtypes are distinct: carbonate versus fine-grained clastic rocks for CD Pb-Zn deposits. However, there are exceptions: some CD Pb-Zn deposits are hosted in carbonate layers within a thick clastic-dominated rock sequence. The statewide geologic map database contains units that commonly include mixed carbonate-clastic sequences that cannot be subdivided. The most significant difference between the two deposit types is their respective depositional environments and tectonic settings, but at the reconnaissance level of mapping in most areas of the state, these distinctions are not possible. Furthermore, nearly all critical geochemical parameters (silver [Ag], barium [Ba], Pb, Zn) are common to both types, and therefore it was not possible to do separate assessments for carbonate-hosted and CD Pb-Zn deposits.Areas identified that have moderate to high potential for sediment-hosted Pb-Zn deposits include the (1) western and central Brooks Range, referred to in this report as the Brooks Range zinc belt; (2) Seward Peninsula (and adjacent St. Lawrence Island); (3) Farewell terrane in Interior Alaska; (4) two spatially distinct belts in east-central Alaska; and (5) the central Alaska Range. All areas contain some known deposits, and that provides credibility to the scoring process. Some hydrologic unit codes (HUCs) that have high potential for sediment-hosted Pb-Zn deposits are located adjacent to areas of known deposits and indicate the potential for expansion of known Pb-Zn districts. There are a few areas that have high potential but contain no known sediment hosted Pb-Zn occurrences, prospects, or deposits. In such areas, future investigations could be focused on better defining and constraining prospectivity with additional data.
Creativity in Children's Digital Music Composition

Composing is a neglected area of music education.To increase participation, many technologies provide open-ended interfaces to motivate child autodidactic use, drawing influence from Papert's LOGO philosophy to support children's learning through play.This paper presents a case study examining which interactions with Codetta, a LOGO-inspired, block-based music platform, supports children's creativity in music composition.Interaction logs were collected from 20 children and correlated against socially-validated creativity scores.To conclude, we recommend that the transition between low-level edits and high-level processes should be carefully scaffolded.