Reviewerly/exHarmony huggingface dataset:
On the use of the project interface method when organizing instrumental observations irregular natural phenomena

Abstract The work is devoted to the problem of organizing university infrastructure, which allows students to be involved in projects related to instrumental observations of irregular natural phenomena. The purpose of the work is to study factors that simplify the process of organizing and conducting regular measuring experiments, allowing students and teachers of higher Education institutions to study and research rare natural phenomena. At the beginning of the work, an overview of literature is given, which describes the experience of using the project approach as part of the educational process and additional education. The main part of the paper describes an example of creating an educational measuring polygon the GASU. The method of design interfaces is proposed as a technology that allows you to simplify the process of creating a polygon and maintaining it in working order. The final part of the work is devoted to a detailed analysis of an example of a scientific study of an irregular natural phenomenon, the data on which were recorded as a result of the measurement experiments. The discussion section of the work concludes that the project approach and the method of project interfaces make the process of introducing instrumental observations into the educational process effective and beneficial for students.
Lévy Flight for Distribution-Based Discrete Particle Swarm Optimization

Particle swarm optimization (PSO) is extended for discrete optimization and it has been shown to perform well. Some of the extended algorithms handle continuous parameters of probability distribution, which assume variable values of a candidate solution, instead of directly handling discrete variables. Such distribution-based discrete PSOs (DDPSOs) have drawback of their step size. We proposed a new sampling method to control the step size with Lévy distribution inspired by Lévy flight. Experimental results show the proposed method improves all the representative DDPSOs.
Audio-visual Interiors

Research Background: Audio-Visual Interiors is an audio-visual composition performed by live electronic duo. Both composers have developed bespoke instruments for this work. Brown explores ring modulation synthesis controlled by multi-dimensional touch gestures; this provides a rich diversity of sonic potential whilst maintaining remnants of physical gesture. Various effects/algorithmic sound diffusion enhances and relocates what is otherwise a simple monophonic sound source. Brown’s instrument is written in Pure data and runs on an iPad. Ferguson’s instrument has Euclidean rhythms and sound-file granulation at the foreground. He has created a bespoke hardware interface that connects to a software environment written in Pure Data, which runs on an iPhone. Data from both performer’s interactions with their instruments is passed to a unique Touch Designer system, which is used to generate and/or manipulate various live visual materials. Research Contribution: This research contributes to the discourse around what is possible in the realm of live audio-visual performance. The work involves performance with live algorithms where performer agency is augmented by machine agency. The use of mobile devices, as well as free/open-source software, is also important. Overall, the human performers remain central, but the audience engages with an audio-visual spectacle that is sonically and visually immersive, and there are clear technologically-mediated undercurrents, which reconfigure the role of what it is to be a live musician in 2019. Research Significance: Audio-Visual Interiors was accepted via peer review to the Australasian Computer Music conference 2019 and was performed live at Monash University using an eight-channel surround-sound system. Solo versions of this work were accepted and performed by John Ferguson at Glasgow Electronic and Audiovisual Media (GLEAM) Festival (Glasgow University, UK) and an Electronic Music concert/artist talk at Derby University (UK).
Effectiveness Of Text Public Service Announcements Bone Regency: Semiotic Analysis Of Charles W. Morris

This study aims to describe the ideology revealed in the Bone district government public service announcements using Charles W. Morris's semiotics. Public service announcements made by the government of Bone Regency are expected to pragmatically have an effect on the community, as with commercial advertisements. Ideology in PSA is expected to have a positive effect on recipients of PSA messages. The ideology that is understood is expected to be the attitude and behavior of the people as targets of existing PSAs. This research is a qualitative descriptive type. The data is sourced from existing texts in PSA made by the Bone district government. The data collection procedures in this study are the recording technique, listening technique, and note taking technique. and interview techniques. This research will describe the ideological effects of Bone Local Government PSA based on the work culture and work spirit tagline.
Power System Post-contingency Frequency Prediction under Incomplete Information with Data-Model-Hybrid Method

Power system post-contingency frequency prediction can help operators make reasonable decisions quickly and regulate the impact of unpredictable contingencies. It is essential that post-contingency prediction models give consideration to both accuracy and speed, and should be able to operate under incomplete information. A data-model-hybrid method is proposed where a simplified model-based method is used to obtain the rough prediction, which is then optimized by a data-based model. Case study is presented over New England 39-bus system, and the result shows that the method proposed can give reasonable result within a short period of time.
Introduction to Quantum Bits and Quantum Gates on IBM’s Quantum Computer

Today from the viewpoint of computing characteristic, “Computer Science” in fact consists of traditional digital computers (A. Turing: On computable numbers, with an application to the entscheidungsproblem. The proceedings of the London Mathematical Society, Ser. 2, Vol. 42 (19367), pp. 230265; corrections, Ibid, Vol. 43 (1937), 544546.; J. von Neumann: Probabilistic logics and the synthesis of reliable organisms from unreliable components. Princeton University Press, 1956, 329378.), bio-molecular computers (Adleman, .Science 226:10211024, 1994) and quantum computers (D. Deutsch: Quantum Theory, the Church-Turing Principle and the Universal Quantum Computer. The proceedings of Royal Society London A (1985), 400497.).
Explore the Application and Development of Computer Image Processing Technology

Digital image processing is used to process the image in depth with modern technologies, so that the image can be presented to the users more clearly and intuitively. Nowadays, image processing has been applied to many fields, such as education, criminal investigation, medicine, fruit picking, traffic safety and so on. At the same time, in these fields, computational image processing technology plays an indispensable role. Therefore, this paper will discuss this topic and analyze the application and development of computer image processing technology.
ENHANCING STUDENTS' READING ABILITY THROUGH PEER-ASSISTED LEARNING STRATEGIES (PALS)

Abstract: This study aims to enhance the students' reading ability through Peer-Assisted Learning Strategies (PALS) in SMA Negeri 19 Makassar. This research is a Classroom Action Research (CAR), which consists of four stages: planning, implementing, observing, and reflecting. The research techniques used are pretest, post-test, and observation. The findings showed that the use of Peer-Assisted Learning Strategies was successful in improving the students' reading ability. The improvement can be seen from the mean score of the students in cycle one is 23.1, which is categorized as good, while in cycle two, it is 73.1, which is classified as very good. Seventeen students met the Minimum Completeness Criteria (MCC) in cycle one, and 22 students completed the MCC in cycle two. Therefore, this research concludes that Peer-Assisted Learning strategies improve the students' learning outcomes of reading ability in SMA Negeri 19 Makassar. Abstra k : Penelitian ini bertujuan untuk meningkatkan kemampuan membaca siswa melalui Peer-Assisted Learning Strategies (PALS) di SMA Negeri 19 Makassar. Penelitian ini merupakan Penelitian Tindakan Kelas (PTK) yang terdiri dari 4 tahap; perencanaan, pelaksanaan, observasi, dan refleksi. Teknik penelitian ini menggunakan tes dan wawancara. Hasil penelitian menunjukkan bahwa penggunaan Peer-Assisted Learning Strategies berhasil meningkatkan kemampuan membaca siswa SMA Negarei 19 Makassar. Peningkatan tersebut terlihat dari nilai rata-rata siswa pada siklus I sebesar 23,1 dengan kategori baik, dan pada siklus II sebesar 73,1 tergolong sangat baik. Tujuh belas siswa memenuhi Kriteria Ketuntasan Minimum (KKM) pada siklus satu, dan 22 siswa memenuhi KKM pada siklus dua. Oleh karena itu, penelitian ini menyimpulkan bahwa kemampuan membaca siswa meningkat melalui model pembelajaran Peer-Assisted Learning Strategies di SMA Negarei 19 Makassar.
Некоторые аспекты управления персоналом в высших учебных заведениях

This article examines main aspects of personnel management in universities in conditions of academic freedom. Higher educational institutions, under the influence of changing conditions in the labor market and the market of educational services, are increasingly using the client-oriented approach, as the most rational and situational one. This approach allows to take utter care of meeting the needs of customers and is aimed at building long-term relationships with them. This approach affects all aspects of life of a higher education institution, including corporate culture and image creation. In this regard, the leadership of the university feels the need to encourage a client-centered behavior in staff. To do this, it is necessary to see at the selection stage what kind of person comes to work to the university, eagerness to focus on the needs of employers, students and their parents; to reveal the qualities that correspond to the values and principles of the university. Changes in the sphere of higher education allow to consider the current stage of cooperation with personnel as a new stage, in the context of which new approaches to personnel management in universities will be developed, increased creativity of labor, manifested in the innovative abilities of personnel, in its effective management, self-regulation, and strengthening the tendencies towards teamwork in research and teaching and methodical areas.
A Simulation Study on Prediction Error Variance Estimation

최근 빅데이터에 대한 관심이 증가하여 통계적 분석방법론 뿐만 아니라 기계학습 방법론도 널리 사용되어지고 있다. 통계적 분석방법론은 수리적 배경을 바탕으로 다양한 상황의 오차에 대한 추론과정을 제시하고 있으나, 상대적으로 기계학습 분야에는 상대적으로 강조되고 있지 않다. 기계학습 방법론에는 인공신경망모형(neural network), 의사결정나무모형(decision tree), SVM(support vector machine), 배깅(bagging)을 비롯한 랜덤포레스트(random forest) 등이 널리 활용되고 있다. 이러한 알고리즘에 기반한 방법론들은 기저분포를 비롯한 오차항에 관한 추론에는 관심을 두지 않았던 것이 사실이다. 다행히 최근 이러한 방법론들에 대한 예측오차와 그에 대한 분산추정에 관한 연구가 활발하게 이루어지고 있다. 본 연구는 오차분산 추정을 위하여 OOB(out of bag) 방법을 이용한 평균제곱예측오차(MSPE, mean squared prediction error)를 살펴보고 편의(bias)를 확인 하였다. 이러한 편의를 보정하기 위하여 붓스트랩을 이용한 추정방법을 제시하고 이를 설명변수들의 다양한 공분산 구조와 함수에 대한 모의실험을 통해 효율성을 비교하였다. 기계학습방법론으로는 랜덤포레스트를 이용하였으며 분석 결과 제안한 편의 보정 방법은 복잡한 함수보다는 다항함수를 비롯한 비교적 단순한 함수에서 더 효율적임을 확인하였다.Recently, as interest in big data analysis has increased, not only statistical analysis methodology but also machine learning has been widely used. Statistical analysis methodology suggests processes based on a mathematical background, but it can be said that relatively less emphasis is placed on the field of machine learning. Machine learning methodologies include a neural network, a decision tree, a SVM, and a random forest including bagging. It is true that methodologies based on these algorithms did not pay attention to inferences about the prediction error terms including the distribution assumptions. Recently, studies on prediction error and variance estimation for these methodologies have been actively conducted. This study examined the mean squared prediction error (MSPE) using the out of bag (OOB) method and bias. To adjust the bias, an estimation method using bootstrap was proposed and the efficiency was compared through simulation. Random forest was used as the machine learning methodology, and as a result of analysis, the proposed bias correction method was more efficient in simple polynomial models than in complex models.
A Boolean Extension of KLM-Style Conditional Reasoning

Propositional KLM-style defeasible reasoning involves extending propositional logic with a new logical connective that can express defeasible (or conditional) implications, with semantics given by ordered structures known as ranked interpretations. KLM-style defeasible entailment is referred to as rational whenever the defeasible entailment relation under consideration generates a set of defeasible implications all satisfying a set of rationality postulates known as the KLM postulates. In a recent paper Booth et al. proposed PTL, a logic that is more expressive than the core KLM logic. They proved an impossibility result, showing that defeasible entailment for PTL fails to satisfy a set of rationality postulates similar in spirit to the KLM postulates. Their interpretation of the impossibility result is that defeasible entailment for PTL need not be unique. In this paper we continue the line of research in which the expressivity of the core KLM logic is extended. We present the logic Boolean KLM (BKLM) in which we allow for disjunctions, conjunctions, and negations, but not nesting, of defeasible implications. Our contribution is twofold. Firstly, we show (perhaps surprisingly) that BKLM is more expressive than PTL. Our proof is based on the fact that BKLM can characterise all single ranked interpretations, whereas PTL cannot. Secondly, given that the PTL impossibility result also applies to BKLM, we adapt the different forms of PTL entailment proposed by Booth et al. to apply to BKLM.
DEVELOPMENT OF HIGHWAY (TOLL ROAD) GEODATABASE IN JAVA ISLAND REGION

Highway (Toll Road) is a means of transportation free land routes has a role government programs in the fields of economy, socio-culture, and the environment so that there is a balance and equal distribution of development between regions. For this reason, technology is needed that is able to manage all data and information related to highway to become an integrated system. Geographical Information Systems (GIS)are used to integrate all data and information. Geodatabase is a database system that is able to store, manage, and display spatial data or information (vector and raster) and non-spatial integrated. This research was conducted to identify what data to used, design, and build the highway (toll road) geodatabase. The methodology used the construction of the geodatabase was preparation, identification to elements of data needed in the manufacture the geodatabase, adjustments to highway (toll road) laws, normalization of data, data collection, database design, geodatabase creation, and geodatabase model. The final results of this study are data collection and normalization of news 65 data derived from regulations, policies, and technical guidelines. The data generated consists of spatial data and attributes related to the toll road, which then the data generated is divided into 3 data sources, namely primary, thematic and complementary data, then a Geodatabase design that includes conceptual, logical and appropriate design in accordance with the Geographic Elements Catalog Indonesia (KUGI) version 5.
Network Traffic Classification Model Based on Multi-Task Learning

Abstract A multi-task learning network traffic classification model (MTL-NTC) is experimentally studied. The identification task of the MTL-NTC model contains three tasks: identifying the type of traffic, predicting the bandwidth, and the duration of the flow. Identifying the type of traffic is the main task. It includes the classification of five types of traffic. The bandwidth prediction and the duration of the flow are auxiliary tasks, which are used to improve the performance of the main task. In the public network traffic data set QUIC, the MTL-NTC model and the common model are used for comparative experiments. The experimental results show that the recognition accuracy of this model is 97.33%, which is better than the common models.
PENGARUH MEDIA 3DS MAX MAKER TERHADAP HASIL BELAJAR SISWA

Learning outcomesare the main thing in the world of education. However, in the learning process at Riyadlul Anwar Islamic Senior High School learning outcomes of each student are different. One of the influencing factors is teacher still uses conventional and monotonous learning media, it is causes less active participation in the learning process. On that basis, researches took another alternative by applying Max Maker 3Ds Media on student learning. The purpose of this research was to analyze the influence of 3Ds Max Maker media on student learning outcomes in ICT Subjects Class XI in Riyadlul Anwar Islamic Senior High Middle Lombok 2018/2019 Academic Year. The technique used in determining population is population study technique because the population is 21 students. The method of data collection uses the test method as the principical method and documentation as complementary method. Data analysis using the t-test formula. After research was conducted, research data was entered into the work table, then entered into formula. The results of the t-test show the value of t-count is greater than t-table at significant level of 5% with db=21,1 =20 (3,436>2,086). Based on the research findings. So, it can be concluded that there is an Effect of 3Ds Max Maker Media on Student Learning Outcomes in ICT Subjects at Riyadlul Anwar Islamic Senior High School Middle Lombok 2018/2019 Academic Year. It can be concluded that the results of this research are “significant”
Концептуально-образная визуализация букв в православных азбуках

The article is devoted to the theoretical problem of the methodological level - the use of a visual image in cognition.  The authors use the texts of two thematic textbooks for elementary reading instruction as objects of study – the Orthodox ABC-book  of Hieromonk Karion Istomin and the modern Orthodox ABC-book published in Greece. The purpose of the study is to establish similarities or differences in the approaches of book authors, which are manifested when the content of the educational material is presented, as well as the features of its visualization. The study consists of two stages. At the first stage, on the basis of a comparative analysis, the principles of selection and the algorithm for representing letters by compiling educational books are determined. Two books use a single order of introduction of letters, reflecting their sequence in the alphabet. This approach is the first step in using of the letter-subjunctive method. Familiarization with the letters is accompanied by a wide illustrative series. Exercises aimed at compiling syllables and words from letters are absent. The second stage of the study is devoted to the development of a classification basis for the semantic content of the analyzed textbooks. Based on cluster analysis, a thematic distribution of illustrations was established, and characteristics of the presentation of materials within individual clusters are described. On the example of the introduction of the letter G in two textbooks, a qualitative uniqueness of the subject and illustrative series, as well as the similarity of approaches, which is manifested in the use of moralizing and didactic verses, are established. t is shown that the Greek alphabet contains a system of exercises aimed at developing fine motor skills of the hand (coloring and writing) and has a didactic apparatus for self-control.
Andragogical Model Of Qualification Of Qualifications Of Teachers Of Preschool Educational Organizations

the article discusses the andragogical model of continuing education of teachers of preschool educational organizations, which involves an active position and high motivation of students, the joint activity of all participants in the continuing education process and the use of effective adult education technologies.
e Model Sistem Rekomendasi Penentuan Jenis Tanaman Buah-buahan pada Lahan Pertanian Menggunakan Mikrokontroler Atmega 328p (Studi Kasus di Kabupaten Subang)

The land is a major factor in growing fruit for farmers. The selection of the right type of soil for planting fruit will affect the yield of the fruit. However, the problem at the moment is the lack of knowledge of farmers regarding the selection of suitable land. So often fruit harvest failures are caused by mistakes in the selection of fruit seeds planted on existing land. This system can answer the problems that occur in farmers who often experience crop failures due to errors in determining fruit planting. By utilizing Arduino Uno technology and by using two sensors in the form of pH meter sensors and Humidity sensors, a system will be formed that can be used as a fruit determinant based on pH indicators and temperature, the results of which refer to the results of data obtained from the Subang Regency Research Center.
Academic teachers’ research competency model in a modern multicultural educational environment

By the end of the 20th century, Russian higher education oriented professors towards the methods and technologies transition, keeping the research activity out of focus. The professional and pedagogical endeavor is based on teaching and educational work. To a lesser extent (in terms of requirements), attention is paid to scientific and research activities. This research paper describes the problem of the relevance of a holistic and consistent process of the professors’ research competency development in a modern multicultural educational environment. The modernization of higher education in Russia implies a high professional level of teaching, and, consequently, a high level of the research competency development, especially in the area of research. The aim is to review options for the professors’ competency models, compiled by scientists and reflected in the presented research papers. At the same time, the authors of the presented research paper offer their model of a competencies system that accompany analysis.
A Protocol for Pollution Index, Source Identification, and Spatial Analysis of Heavy Metals in Top Soil

Introduction: This study aimed to assess a good protocol for the contamination indexes, concentration, spatial analysis, and source identification of toxic metals in top soils.&#x0D; Materials and Methods: In the first step, samples were taken from top soil (30 cm) and the metals were extracted and detected with ICP-AES. In the second step, Enrichment Factor, Geoaccumulation Index, and Contamination Factor of metals were calculated to determine soil contamination degree. Furthermore, the principal component analysis and correlation between metals were conducted for source identification.&#x0D; Results: Spatial analysis, as an important section of the present protocol, was performed using Arc GIS, kriging, and Moran's I models. As results of Moran's I model showed, distribution pattern for Fe, As, Cd, Cu, Ni, Pb, and Zn were random (z-scores ranged from -1.17 to 1.09), indicatingthat these elements could be emitted from different potential sources. In Moran's model, spatial autocorrelation of each pollutant could be measured based on its value and location.&#x0D; Conclusion: The finding of this protocol can be used for extraction of contamination indexes, concentration, spatial analysis, and source identification of toxic metals in top soils.