Reviewerly/exHarmony huggingface dataset:
Rhetorical Pattern Finding

In this paper, we research rhetorical patterns from a musicological and computational standpoint.First, a theoretical examination of what constitutes a rhetorical pattern is conducted.Out of that examination, which includes primary sources and the study of the main composers, a formal definition of rhetorical patterns is proposed.Among the rhetorical figures, a set of imitative rhetorical figures is selected for our study, namely, epizeuxis, palilogy, synonymia, and polyptoton.Next, we design a computational model of the selected rhetorical patterns to automatically find those patterns in a corpus consisting of masses by Renaissance composer Tomás Luis de Victoria.In order to have a ground truth with which to test out our model, a group of experts manually annotated the rhetorical patterns.To deal with the problem of reaching a consensus on the annotations, a four-round Delphi method was followed by the annotators.The rhetorical patterns found by the annotators and by the algorithm are compared and their differences discussed.The algorithm reports almost all the patterns annotated by the experts and some additional patterns.The algorithm reports almost all the patterns annotated by the experts (recall: 98.11%) and some additional patterns (precision: 71.73%).These patterns correspond to rhetorical patterns within other rhetorical patterns, which were overlooked by the annotators on the basis of their contextual knowledge.These results pose issues as to how to integrate that contextual knowledge into the computational model.
Analisis Spasio-Temporal COVID-19 Di Kabupaten Semarang Pada Bulan September Hingga November Tahun 2021

ABSTRACTThe percentage of active Covid-19 cases in Semarang Regency is 20.97%, exceeding the national percentage of 14.8%. Implementation of Covid-19 surveillance using control management based on spatial or regional data to determine distribution patterns and facilitate monitoring of the spread of the Covid-19 virus. This type of research is descriptive using a cross sectional approach. The sampling technique used was purposive sampling with a total sample of 241 cases. The data collection tool uses the GPS Essential app. Spatio-temporal analysis using ArcGis 10.7. The results of the study using the Nearest Neighbor Test Analysis showed the pattern of distribution of positive confirmed cases of Covid-19 in September the value of Nearest Neighbor Ratio = 0.465340 which means &lt;1 indicates that the distribution pattern is clustered. Pattern of Distribution of Positive Confirmation Cases of Covid-19 In October the value of Nearest Neighbor Ratio = 1.001926 which means &gt; 1 indicates that the distribution of positive confirmed cases of Covid-19 in Semarang Regency is random. Distribution Pattern of Positive Confirmation Cases of Covid-19 In November the value of Nearest Neighbor Ratio = 1.103031 which means &gt;1 indicates that the distribution pattern is random. The prevalence of Covid-19 cases in Semarang Regency from September to November 2021 has decreased. The pattern of distribution of positive confirmed cases of Covid-19 in September is clustered, October is random, and November is random. Suggestions for the Semarang District Health Office to improve close contact tracing and cross-sectoral collaboration in collecting data on Covid-19 cases. Keywords: Spatio-Temporal, Covid-19, Semarang District Health Office.
Sistem Prediksi Penjualan Frozen Food dengan Metode Monte Carlo (Studi Kasus: Supermama Frozen Food)

Abstract. Frozen Food Sales Prediction System Case Study of Supermama Frozen Food Using the Monte Carlo Method. Frozen processed food is increasingly popular, so frozen food stores are getting easy to find. Supermama Frozen Food is a store that sells a variety of frozen foods. Not all frozen food stocks can get sold out before their expiration dates. This causes the store's profits to decrease. Therefore, a frozen food sales prediction system was necessarily made to help the store estimate its stock to minimise store losses. The research method used in predicting sales was the Monte Carlo method. Testing methods used were accuracy and MAPE. The test results of using accuracy were 89.66%, and MAPE error accuracy test showed 12.6%. Based on the results, it is concluded that the Monte Carlo method can predict frozen food sales.Keywords: forecasting, frozen food, Monte Carlo, sales prediction Abstrak. Makanan yang diolah dengan cara dibekukan semakin digemari masyarakat sehingga toko makanan beku menjadi mudah ditemui. Supermama Frozen Food merupakan salah satu toko yang menjual aneka makanan beku. Tidak semua stok makanan beku terjual habis hingga masa konsumsi berakhir. Hal tersebut membuat keuntungan toko menurun. Oleh karena itu di buatlah sistem prediksi penjualan makanan beku yang dapat mengestimasi stok sehingga meminimalisir kerugian toko. Metode yang digunakan dalam memprediksi penjualan yaitu metode Monte Carlo. Pengujian metode yang digunakan yaitu akurasi dan MAPE. Hasil pengujian menggunakan akurasi ialah 89.66% dan pengujian akurasi error MAPE menghasilkan nilai 12.6%. Berdasar hasil pengujian metode tersebu, metode Monte Carlo disimpulkan dapat digunakan dalam prediksi penjualan frozen food.Kata Kunci: forecasting, frozen food, Monte Carlo, prediksi penjualan.
Проблема художника і влади в опері «Портрет» М. Вайнберга (режисерська версія Д. Паунтні)

The purpose of the article is to investigate the peculiarities of the stage embodiment of Weinberg’s opera ‘Portrait’ directed by D. Pountney. The methodology consists of historical-comparative, biographical methods and textual analysis. The scientific novelty of the article is that for the first time in musicology the specifics of the stage embodiment of Weinberg’s opera ‘Portrait’ are studied. Conclusions. In ‘Portrait’ Gogol raises complex ‘questions of philosophy of life and art’ [4]. In general, the portrait in the history of world art is one of the most controversial genres. The portrait depicts the most characteristic individual features of a person: face, facial expressions, gestures, clothes, accessories, etc. The symbolic meaning of the portrait is the reproduction of oneself as a way of overcoming the transience of life. ‘Portrait’ of M. Gogol, according to V. Bal, is an important phenomenon of the n historical and literary process of a certain period [4, p. 13]. The theme of the ‘living’ portrait is related to issues relevant to the time in general, in particular, reflections on the nature of realism, the problem of the hero of the work and the role of the artist in art and life. The moneylender depicted in the portrait is ‘a symbol of material and non-spiritual beginnings’ and seduces the artist with money, provokes him by refusing to grow his skills and, accordingly, his spiritual growth [4, p. 14]. The English theater and opera director D. Pountney, having created two of the three acts of Weinberg’s opera, for the most part of the second act, practically turned into one huge scene of the death of the main character. Pountney’s stage embodiment of Gogol’s ‘Portrait’ brings the original source closer to the historical and social realities of the twentieth century, exposes the eternity of the creator, who, serving power, wastes his talent and, eventually, experiencing the collapse of personality, dies.
Science fiction literature as a prediction of human’s communication &#x0D; with artificial intelligence

Science fiction literature simulates our reality in a specific way. It also provides opportunities to predict not only the development of technologies, particularly the artificial intelligence, but also the modes of the humans communication with these technologies, that are resented in the written works via anthropomorphic images. In this article there have been analyzed the organizational interaction modes between a human being and artificial intelligence within the scope of science fiction as exemplified by the works of Ph. Dick, A. Azimov, D. Adams, A. Clarke and W. Gibson. It has been pointed out that the authors conceptualize the artificial intelligence via three methods: comparison to a human being, creating the images of supercomputers and super-mind. The authorial communication models oriented on the interaction with artificial intelligence are focused on the development of the human inner world, the search of the answers on the key being questions. Interaction with the other, non-human consciousness collides with the technological limits and the destruction of the subject-object communication sphere. The analysis of the authorial communication models oriented on the interaction with artificial intelligence has shown that the basic problems of such communication is the impossibility of creating the dialogue-like relations and understanding of the other as the main communicative efficiency norm. The artificial intelligence, becoming the communication subject, continues to be perceived by the characters of the literature work as am object. The above-mentioned situation in the end leads to destruction of dialogical communication. True communication is possible under circumstances, when a human being understands technological restraints of artificial intelligence and he / she is ready to enrich it proactively with sense within the context of functional objectives solutions.
Research of the conditions for using metagames in the study of the foundations of theoretical informatics to improve the quality of educational results of pupils

The problem and the aim. The formation of skills in working with information, its critical assessing and analysing, using it for managing actions, communicating with artificial intelligence and other people. These skills serve as important indicators that determine the effectiveness of the didactic system. The inclusion of gamification elements in the educational space of a digital school allows you to create additional conditions for the development of relevant skills. The purpose of the article is to research the conditions for the use of metagames by studying theoretical informatics to improve the quality of educational results of pupils. Research methods. The metagame is applied in different forms such as a series of role-playing games united by a didactic goal, an integrating multisubject educational environment, a game situation involving the obligatory application of external knowledge (information) for the development of the plot. 60 students from Lyceum No. 21, the Railway Educational Centre of Kirov (Russian Federation) took part in the research. The average age of respondents was 16 years (55% of girls and 45% of young people). Metagames are included in the study of theoretical questions on the topics "Information and Knowledge," "Information Perception and Presentation", "Information Processes," "Measurement and Information". The authors have developed materials for a control test, including 45 tasks. Digital services, a graphic editor, interactive simulators are used. Pearson’s criterion χ2 (chi-squared) was used for statistical data processing. Results. The author's approach to understanding the essence of a metagame as a system of story-role-playing or board games united by a common didactic goal is formulated. The results of each stage/round of the metagame are taken into account in a following iteration in some form. Pupils studied an experimental group of topics related to theoretical informatics. This study was supported by the metagames "Counting on Trust," "From Code to Code," "Information Lotto," "Smart Car". Statistically significant differences in the qualitative changes in the pedagogical system were revealed, (χ2 = 9,162; p &lt; 0,05). In conclusion, clarifies the conditions for the use of metagames when studying the foundations of theoretical informatics to improve the quality of educational results. The age characteristics of pupils were taken into account when formulating message texts. Digital services were enabled. The metagames included combination of oral, written communication, interaction over a computer network.
Pengembangan Media Pembelajaran E-Comic untuk Mata Pelajaran Ilmu Pengetahuan Sosial Materi Pasar Kelas VIII MTs Fathus Salafi Mangaran, Situbondo

The research has the following objectives: (1) Knowing the development of E-comic media "" on social studies subjects, student market material "(2) Determining the level of effectiveness of E-comics in social studies subjects, student market materials. "This type of research is Research and Development (R&amp;D) with a development model according to" Sugiyono. According to Sugiyono, the development model consists of seven stages, namely: "potentials and problems, data collection, product design, design validation, product revision, product testing, and product revision". "Media validation" is carried out by media experts and experts " material. "The media developed was tested on 30 grade VIII students of MTs Fathus Salafi Mangaran, Situbondo." The data analysis techniques used were quantitative and qualitative. " At the assessment stage, the researcher did not carry out it in the classroom because of Covid-19 which made schools closed. So the researchers visited each residence of class VIII students of MTs Fathus Salafi to fill out a questionnaire sheet. "The results of the research and development carried out were in the form of learning media" E-comics which can be accessed online. The media developed gets good judgment from experts. The results obtained from media experts get a percentage value of 83% which is included in the valid category, from material experts who get a percentage value of 93% which is included in the very category. As for the student assessment "that is, getting a percentage value of 90%" which is included in the very category "valid.
PENDEKATAN ICARE (INTRODUCTION, CONNECTION, APPLICATION, REFLECTION, EXTENSION) DALAM LKPD PELAJARAN MATEMATIKA KELAS VII SMP

This study aims to produce worksheets based on the ICARE approach that are valid and practical and have a potential effect on algebraic arithmetic operations material. This research is a development research or Development Research. The LKPD development process goes through two stages, namely the preliminary stage and the formative evaluation stage. The LKPD was declared valid after being validated by three experts based on: 1. ICARE characteristics, 2. The suitability of the material to basic competencies and indicators of competency achievement, and 3. Grammatical compatibility according to the General Guidelines for Indonesian Spelling (PUEBI). While the practicality of LKPD is seen from the responses of students in small groups in answering questions. The potential effect is seen from the results of students' final ability tests. student learning outcomes obtained an average final grade of 85.35 which means that student learning outcomes are classified as very good. So it can be concluded that the ICARE approach-based worksheets that have been developed have a potential effect on student learning outcomes.
A Deep Learning and Machine Learning Approach for Image Classification of Tempered Images in Digital Forensic Analysis

Multimedia images are the primary source of communication across social media and other websites.Multimedia security has gained the attention of modern researchers and has posed dynamic challenges such as image forensics, image tampering, and deep fakes.Malicious users tamper with the image embedding noise, leading to misinterpretation of the content.Identifying and authenticating the image by detecting the forgery operations performed on it is essential.In our proposed model, we detect the forged region using the machine learning model SVM in the first iteration and Convolution Neural Network in the second iteration with Discrete Cosine Transform (DCT) for feature extraction.The proposed model is tested with a Corel 10K dataset, and an average accuracy of 98% is obtained for all kinds of image operations, including scaling, rotation, and augmentation.
A New Internet of Things (IoT) Framework for Public Sectors

Due to tremendous technological improvements, over the past several years the world has witnessed, and continues to witness, digitalization, which has received a wealth of attention. Technology and connectivity have made it possible for many technologies and pieces of software to be connected, which has subsequently made it possible to communicate without a human being directly involved. The internet of things (IoT) is a phenomenon that has gained much popularity since its inception in 2009 and which has become a crucial component in real-life applications. In order to understand how the internet of things (IoT) might be used to improve the many aspects of the public sector, as well as its limits, this paper explores the many definitions of IoT in relation to its use in the public sector and focuses on designing a new framework that can be used as a guideline of using IoT in public sectors in diverse international contexts.
Isolation and Characterization of Mold on Furniture in Biological Laboratory Environment Using Contact Plate Method

The presence of molds in the environment around us can be beneficial or detrimental. Mold can be found in various places, including soil, air, plants, animals, water, and on material surfaces. One of the roles of mold is as a bio-degradator and biodeterioration agent on materials that are still used, so that it will cause harm to humans. This study aims to isolate and characterize the types of molds that exist on the surface of existing materials in the biology laboratory environment of Diponegoro University with the contact plate method. The method used is to attach a contact plate containing PDA to various materials such as tables, chairs, cabinets, and so on, then observe the macroscopic and microscopic morphology. The results obtained were five genera, there are Aspergillus, Penicillium, Eurotium, Rhizopus, and Absidia.
Under water image detection using hybrid K-tree algorithm

Since underwater exploration is so critical in the production and exploitation of deep sea resources, autonomous underwater operation is becoming increasingly important to escape the dangerous high-pressure deep-sea climate .But, unfortunately the quality of captured images are often in poor visible conditions such as low contrast which are caused by the absorption and scattering of light in the water .So, the image must undergo image processing techniques to obtain information from it .In the field of digital image processing, machine learning has had a lot of success with object detection and classification.Our method deals with this problem which enhances the image by stretching the contrast and segments it along with extracting boundaries to find the object. We used a hybrid Machine learning model to detect the object namely KNN algorithm and decision tree algorithm.
Application Based Drug Recommendation System

With the popularity of e-commerce people attempt to purchase medicine from online pharmacies.But ecommerce websites never provide information what quantity to use and where to use.Despite it convenience there are many issues.After we search online for the name of the medication associated with diseases, we found plenty of medicines.Choosing a drug between list of medicines may be a big challenge.So this paper represents a drug recommendation system which will help users to search out medicine associated with the disease.
Psychoanalytical Conflict, Anxiety, and Ego Defense Mechanism of Aza Holmes in John Green’s Turtles All the Way Down

This research aims to explain the psychoanalytical conflict, anxiety, and the ego defense mechanism of Aza Holmes by using Sigmund Freud’s psychoanalysis theory. The method of approach used in this research is the Psychology of Literature approach, while the method of collecting the data is library research. The primary data comes from the novel Turtles All the Way Down written by John Green and the secondary data comes from other text-based sources related to Freud’s Psychoanalysis theory. Furthermore, this research suggests that Aza Holmes’ ego is weak which causes her to conflict with her own self and other people around her. This conflict leads to the rising of her neurotic and moral anxieties. To relieve the tension of her anxiety, Aza Holmes performs some ego defense mechanisms such as projection, fixation, and displacement. Keywords: personality structure; psychoanalytical conflict; anxiety; ego defense mechanism; Freudian psychanalysis
AN EMPIRICAL INVESTIGATION INTO THE EXTENT UNIVERSITY STUDENTS UTILISE MOBILE EDUCATIONAL APPLICATIONS FOR LEARNING

The purpose of the study is to determine the extent and frequency with which university students use Mobile Educational Applications, the knowledge concerning their availability, challenges students experience in using them, and the effect of these apps on students’ learning processes and performance. The research adopted a quantitative method of investigation and was conducted at a university in South Africa. A total of 280 questionnaire responses were completed and returned compared to the envisaged sample size of 375, representing a 75% response rate. The results revealed that students have properly incorporated mobile devices and applications into their daily lives and use mobile apps for personal, social, and academic activities on varying scales. A vast majority of students have acknowledged the affirming utility of mobile educational apps in their studies. It was concluded that Mobile Educational Applications are tools that enhance students’ learning in a university environment.
Research on Standard Cost Prediction of Intelligent Overhaul Based on Multiparticle Optimization

In order to effectively control the cost consumption in the process of intelligent overhaul of power grids, so as to maximize the saving of power supply cost, a standard cost forecast model based on multi-particle optimization algorithm is proposed. Starting from the global mode and local mode, the concrete calculation results of optimization operator are determined, and the cost statistics of power network based on multi-particle optimization algorithm is realized. On this basis, the cloud application concept of maintenance cost is defined, and the actual value of standard gray number is determined according to the numerical calculation law of cost characteristics. Experimental results show that MPSO can save the consumption of overhaul cost and meet the practical need of effectively controlling the supply cost of electricity under the same power supply.
Study of Translation Equivalence Pair Extraction in Chinese and English Comparable Corpus

Aiming at the problem of ambiguous ambiguity in translation equivalence in the Chinese English corpus, an optimal design method of translation equivalent pair extraction model in the Chinese English Corpus is proposed based on correlation semantic fuzzification analysis, and the two-element semantic fuzzy understanding method is used to carry out the translation equivalence pairs in the Chinese English corpus. The accuracy of the Chinese translation equivalence to the accuracy of the semantic translation in the extraction is improved. The results of the experimental test show that the method has a higher degree of relevance to the extraction of the translation equivalence in the English corpus, which indicates that the accuracy of the translation is better.