Reviewerly/exHarmony huggingface dataset:
The Portrait of a Social Educator as a Carrier of Information-Digital Competence

The rapid process of digital transformation and the COVID-19 pandemic required in a relatively short time to adapt to new social conditions, master new types of communication and at the same time provide an atmosphere of comfort in the new digital environment.The task of creating psychologically comfortable interpersonal relations in a digital society, creating conditions for the self-development of the individual, productive interaction with other people relies on social educators.This is what distinguishes the role of a social educator from the role of a teacher.In difficult conditions today, social educators must have not only professional competences, but also have a high level of the digital competence to solve the tasks assigned to him.Therefore, the purpose of the research is to develop a portrait of a social educator as a bearer of information-digital competences in the contemporary modern society.The study provides a comparative analysis of the functionality of the teacher and social educator in the context of digital transformation; determining the conformity of competences formed during training; development of a model of the informationdigital competence of a social educator and determination of ways of its formation.
Supplemental Material for Effects of Semantic Diversity and Word Frequency on Single Word Processing

Correlations between lexical and semantic measuresMeasure 1
Generating digital images of skin diseases based on deep learning

Data generation systems and architectures seek to create new and valuable data with specific sizes and characteristics which are similar to the original data that fit the mechanism of the application used. GANs (generative adversarial network architectures) are a type of generative modeling that uses deep learning methods like convolutional neural networks to generate data, particularly digital images which are used in scientific applications. The goal of this paper is to design and build three architectures of Generative adversarial network (based on convolutional neural networks) to generate three types of digital images of skin diseases by defining two supervised models, the generator model that is trained to generate new digital images and the discrimination model that classifies digital images as real or fake from the field. An intelligent architecture for training the generative model was created, where the two models are trained together in a zero-sum field. Each digital image that was generated differs in its accuracy, size, and dimensions. After applying all the architectures, obtaining and comparing digital images, it turns out that the fewer dimensions of the resulting digital images, the faster the generation processes and the lower the memory costs, but their accuracy is low. The importance of building architecture lies in increasing the images of skin diseases to be used in the data set to perform classification operations for these diseases, as digital images were generated in different sizes, which are 64×64, 128×128, and 512×512, and the new images were obtained with accuracy commensurate with the requirements of this paper. The generated digital images with dimensions 128×128 gave the best results in the accuracy of the resulted images. At the same time, they do not consume much memory, which leads to their processing speed.
E-Multidisciplinary Oncology Conference for Liver Cancer as a Technology and Method to Optimize Personalization and Outcomes in the Peripheries

To search feasibility and reliability of Telemedicine Systems (TS) in the remote multidisciplinary oncology conference for decision making and treatment of liver lesions.By an experimental TS, twenty six (n=26) specialists based on a series of five (N=5) simulated remote image examinations, assessed sensitivity-specificity of the remote examination of the Liver (L) for neoplastic diseases and damages (Virtual Examination=VE).Analysis showed injuries (sensitivity=96%), injuries of the capsula (sensitivity=91.7%), hematomas (sensitivity=91,7%), non-neoplastic diseases (specificity=100%), neoplastic diseases (sensitivity=100%).The VE of the (L) in combination with high-tech visualization and multimedia and the remote participation of liver surgical oncology, oncology, radiology, pathology and cytology experts composes a feasible and reliable e-Multidisciplinary Oncologic Conference for a Personalized and Optimum Decision Making and Treatment in Liver Cancer.
Penerapan Fungsi Hash dengan Algoritma RIPEMD-128 Pada Aplikasi Duplicate PDF Scanner

The development of the digital world era continues to grow and is increasing. Many industries have switched to digital technology such as photos, videos, music, and so on. Of course, this change brings many benefits in terms of speed and data access. Ease of accessing the internet also has a major impact on human life. The ease of accessing documents online is very helpful if you want to find and download pdf documents online. With this convenience, many of the same pdf files are downloaded more than once. This will definitely burden the storage space. To distinguish one pdf file from another, it is done by viewing and reading the contents of the pdf file. This is very inconvenient and time consuming. To overcome this, we need a practical way that can be used to search for the same pdf document so that it can delete duplicate pdf files. One way that can be used to overcome this problem is to use a hash function. The hash function in cryptography is a very important tool in various cryptographic applications, for example in digital signature formation, authentication, and so on. Since the discovery of the MD4 hash algorithm by Ron Rivest, many other hash algorithms have been developed based on the principles of this algorithm. One of them is the RIPEMD-128 algorithm. RIPEMD-128 is an iterative hash function that operates on 32-bit words. By using a hash function, the identity of the pdf file can be generated. If the pdf files are the same it will produce the same hash value as well. This will make it easier to group the same pdf documents so that it will speed up the process of deleting the same pdf files. With the pdf file scanner application, pdf files will be searched for all folders and will group pdf files based on the same hash value. So that it will be easier for users to delete the same pdf file.
End-to-end platform evaluation for Spanish Handwritten Text Recognition

The task of automated recognition of handwritten texts requires various phases and technologies both optical and language related. This article describes an approach for performing this task in a comprehensive manner, using machine learning throughout all phases of the process. In addition to the explanation of the employed methodology, it describes the process of building and evaluating a model of manuscript recognition for the Spanish language. The original contribution of this article is given by the training and evaluation of Offline HTR models for Spanish language manuscripts, as well as the evaluation of a platform to perform this task in a complete way. In addition, it details the work being carried out to achieve improvements in the models obtained, and to develop new models for different complex corpora that are more difficult for the HTR task.
Supplemental Material: Testing local and extraregional sediment sources for the Late Cretaceous northern Nanaimo basin, British Columbia, using &lt;sup&gt;40&lt;/sup&gt;Ar/&lt;sup&gt;39&lt;/sup&gt;Ar detrital K-feldspar thermochronology

&lt;div&gt;Table S1: Descriptions of each Nanaimo Group sample. Table S2: Description of K-feldspar separation method. Table S3: &lt;sup&gt;40&lt;/sup&gt;Ar/&lt;sup&gt;39&lt;/sup&gt;Ar data collection methods. Table S4: Nanaimo detrital K-feldspar &lt;sup&gt;40&lt;/sup&gt;Ar/&lt;sup&gt;39&lt;/sup&gt;Ar data. Table S5: K-feldspar &lt;sup&gt;40&lt;/sup&gt;Ar/&lt;sup&gt;39&lt;/sup&gt;Ar incremental-heating data from the Pacific Northwest. Table S6: Biotite and muscovite &lt;sup&gt;40&lt;/sup&gt;Ar/&lt;sup&gt;39&lt;/sup&gt;Ar incremental-heating data from samples from the Pacific Northwest. Table S7: Biotite K-Ar and &lt;sup&gt;40&lt;/sup&gt;Ar/&lt;sup&gt;39&lt;/sup&gt;Ar age database used to construct Figures 10, 11, and 12 for selected Cretaceous batholiths of western North America, including references. Table S8: References used to construct Figures 8, 10, 11, 12, and 13. Figure S1: &lt;sup&gt;40&lt;/sup&gt;Ar/&lt;sup&gt;39&lt;/sup&gt;Ar step-heating plots for K-feldspar, biotite, and muscovite from basement samples from the Pacific Northwest. &lt;br&gt;&lt;/div&gt;
INNOVATIVE APPROACHES IN ORGANIZATION OF THE LESSON "BASICS OF LIFE SAFETY" HIGHER EDUCATIONAL INSTITUTIONS

Innovation - an innovation in the field of technology, technology, labor organization or management, based on the use of scientific achievements and best practices, providing a qualitative increase in the efficiency of the production system or product quality [3]. Pedagogical innovation is changes aimed at improving the development, education and training of students of a higher educational institution. At the present stage of development of pedagogical education, innovative processes have affected various areas. The search for new approaches is carried out in different directions - in the content, technologies, forms of organizing the activities of the subjects of the educational process, in assessing the results. Each pedagogical era gave birth to its own generation of technologies: - the first generation of educational technologies represented traditional methods; - Technologies of the second and third generations were modular-block and all-block training systems; - Integral technology belongs to the fourth generation of educational technologies.
Unified Model and Framework for Interactive Mixed Entity Systems

Mixed reality, natural user interfaces, and the internet of things converge towards an advanced sort of interactive system. These systems enable new forms of interactivity, allowing intuitive user interactions with ubiquitous services in mixed environments. However, they require to synchronize multiple platforms and various technologies. Their heterogeneity makes them complex, and sparsely interoperable or extensible. Therefore, designers and developers require new models, tools, and methodologies to support their creation. We present a unified model of the entities composing these systems, breaking them down into graphs of mixed entities. This model decorrelates real and virtual but still describes their interplay. It characterizes and classifies both the external and internal interactions of mixed entities. We also present a design and implementation framework based on our unified model. Our framework takes advantage of our model to simplify, accelerate, and unify the production of these systems. We showcase the use of our framework by designers and developers in the case of a smart building management system.
Models of pre-professional pedagogical training of students

Social and pedagogical training of students in modern conditions, in addition to solving professional problems in the context of continuing pedagogical education, is also of value and meaning for the development of society as a whole. Such effects are achieved due to the development of skills in constructive interaction and the use of cultural practices during pre-professional pedagogical training (PPT). Numerous psychological and pedagogical studies today are devoted to the study of various aspects of PPT — targeted, meaningful, effective, etc. At the same time, the subject of scientific discussions are approaches to highlighting training models and determining their essence. The purpose of the article is to synthesize the ideas available in the theory and practice of education about models of preprofessional pedagogical training of students, to describe the general model, as well as to accumulate ideas about possible approaches to classifying models of organizing the process under study. The orientation of students to the pedagogical profession can be carried out in various formats: the activities of psychological and pedagogical classes; support of individual educational projects of students; the work of associations of additional education for children, implemented, inter alia, on the basis of pedagogical universities and colleges; use of Internet resources and sites for virtual interaction during PPT. The article includes a meaningful description of the indicated models and their specifics in the context of the peculiarities of interaction between subjects of educational relations and pedagogical support of the process. Being aware of the variety of approaches to pre-professional training, the authors distinguish the following types of organization models: psychological and pedagogical classes, associations of additional education for children, virtual creative associations, individual educational projects.
Analisis Sistem Informasi Akuntansi Pengeluaran Kas pada CV Macarindo Berkah Group Jember

This study analyses the Accounting Information System (AIS) of CV Macarindo Berkah Group Jember’s Cash Expenditures. Data collection was carried out by document and interview methods. The data analysis method used is descriptive evaluative. The results showed that the AIS cash disbursements of CV Macarindo Berkah Group Jember were by the applicable AIS standards with a suitability level of 79%. The suitability consists of AIS components of cash disbursements, documents, accounting records, functions, and document flowcharts. So it can be concluded that it follows the applicable AIS standards, but not maximally due to several shortcomings, including the absence of activity to approve supplier invoices, no petty cash disbursement journal, and no cash fund holder function. Based on the results obtained, the authors submit suggestions to CV Macarindo Berkah Group Jember to continue to improve the AIS cash disbursement by studying AIS standards and recruiting employees who better understand the AIS cash disbursements.
Belajar Bahasa Mandarin melalui Lagu

Song has a universal appeal that connects all cultures and languages. Besides the potential to make learning interesting and fun, songs as authentic materials are very versatile and can be developed into various learning activities. The purpose of this service activity is to improve speaking and listening skills in Mandarin and master vocabulary more easily. The methods we use in this activity are demonstrations and training. The results of this service activity can be concluded 2 things; Mandarin song applications can improve four competencies in learning foreign languages and can increase children's motivation in learning foreign languages. In addition, it is hoped that the use of songs as a learning medium can provide new references as a way to increase children's learning motivation used in teaching and learning activities (KBM).
Integration Of Science And Education As An Important Factor In Improving The Quality Of Education

The article discusses the role of higher education institutions in improving the quality of education, the involvement of teachers in research activities and the involvement of students in this process is an important factor in improving the quality of education. Also, the analysis of the results of scientific activity of professors of higher education institutions and forecasts for future periods were made.
Research on the Talent Training Mode and Path in Continuing Higher Education Based on Digital Reform

As the digital reform unfolds at an incredible pace, the continuing higher education faces opportunities to transform and upgrade. Although emerging technologies such as 5G, Internet and artificial intelligence are gaining a foothold in continuing education, the continuing higher education must deal with challenges and issues in education orientation, teaching mode, talent training, etc. There is an urgent need of standardized management, reform and development. This paper aims to establish the accurate orientation and staggered development path for continuing education in colleges and universities on the macro, meso and micro levels. On the macro level, it studies the accurate orientation and staggered development path of continuing education in the digital reform era; on the meso level, it explores the standardized management of continuing higher education and reform measures of digital talent training mode; on the micro level, it discusses how to leverage the advantages in colleges and universities, build role models in digital reform education programs and learning bases, reform the standardized management and talent training mode, and propel the high-quality development of continuing higher education.
Aplikasi Android Kumpulan Lagu-Lagu Perjuangan Nahdlatul Wathan

Nahdlatul Wathan is a religious community organization the religious community located on the island of Lombok, West Nusa Tenggara, founded by TGKH. Zaenuddin Abdul Majid. In the period of organizational development, TGKH. Zaenuddin Abdul Majid made a lot of songs with the theme of the NW struggle. Currently, NW's struggle songs have been widely circulated to the general public and the nahdliyin community in various different collections which actually help in taking turns listening. With this, it takes a smartphone device media with an android operating system that is used to listen to all collections of NW struggle songs without space and time limits. With the Android application, these NW struggle songs can make it easier for NW congregations in particular and the public in general to listen to NW struggle songs. In developing the android application, NW's songs of struggle use the waterfall process model whose stages are adopted, namely systems engineering, needs analysis, system design and implementation. System design using UML (Unified Modeling Language) and programming using android studio
DAMPAK PEMBELAJARAN LURING DI MASA PANDEMI TRHADAP HASIL BELAJAR KOGNITIF SISWA PADA MATA PELAJARAN IPS

Goal of this study is to see whether offline learning by giving assignments has an impact on cognitive learning outcomes in social studies subjects. Quantitative method with one group pretest-posttest design. Seventh grade students of SMP Negeri 01 Entikong are the population of this study. the sample in this study amounted to 34 students. The instrument of this research consisted of a short description of 5 questions consisting of 2 questions c1, 2 questions c2 and 1 question c3. Data normality was tested using the Kolmogorov-Smirnov statistic test. Hypothesis testing was carried out using the Wilcoxon statistical test because the pretest and posttest data were not normally distributed. The results of the Wilcoxon statistical test showed that there was no difference in the average student learning outcomes before and after taking offline learning by giving assignments K e y words: Offline Learning, Learning Outcomes, Pandemic Period .
Pengenalan Pola Huruf Hijaiyah dengan Metode Local Binary Pattern Menggunakan Algoritma Fuzzy K-Nearest Neighbor

A letter is a form, stroke, or symbol writing system. Any information obtained from a sentence depends on the letters are written clearly. Finding written hijaiyah letters can be recognized by humans, but will be difficult if a computer tries to recognize them. The reason system is difficult is because of the large variety of different letters. This study aims to make it easier for someone to learn to recognize hijaiyah letters by using the Local Binary Pattern method for the feature extraction process. The results of feature extraction will take the maximum value of the histogram of each letter. And results feature extraction will be carried out classification process using the Fuzzy K-Nearest Neighbor algorithm until finally hijaiyah letters can be recognized. Based on experimental results that have been carried out, the highest level of accuracy is obtained when the amount of training data is 154 data and the number of data testing is 29 data, resulting in an accuracy rate of 96.55%.
Acknowledgment to Reviewers of Acoustics in 2020

Peer review is the driving force of journal development, and reviewers are gatekeepers who ensure that Acoustics maintains its standards for the high quality of its published papers [...]
Algoritma K-Nearest Neighbor untuk Memprediksi Prestasi Mahasiswa Berdasarkan Latar Belakang Pendidikan dan Ekonomi

Student academic performance is one measure of success in higher education. Prediction of student academic performance is important because it can help in decision-making. K-Nearest Neighbor (K-NN) algorithm is a method that can be used to predict it. Normalization is needed to scale the attribute value, so the data are in a smaller range than the actual data. Feature selection is used to eliminate irrelevant features. Data cleaning from outliers in the dataset aims to delete data that can affect the classification process. In the classification process, the dataset is divided into a training set by 80% and a validation set by 20% using the cross-validation method. The classification model that is formed is tested using data that is separate from the training data and is evaluated using a confusion matrix. As an evaluation, the K-NN model has 95.85% average accuracy, 95.97% average precision, and 95.84% average recall.
Orthographic Errors in Japanese Vocabularies for Basic Level Pupils at Rizky Home School Kindergarten

The study is entitled "Orthographic Errors in Japanese Vocabularies for Basic Level Pupils at Rizky Home School Kindergarten".The aims of the study are to identified the types, factor of orthographic errors and how to deal the effect of the errors.The data was obtained from Rizky Home School Kindergarten basic level pupils batch 2020/2021 totaled 20 peoples.The data was collected by qualitative and quantitative appoarch, observation method and test (pretest-posttest) with notetaking techniques.The collected data was analyzed by theory of phonology by Kubozono (2015), error analysis by Fromkin (1973), Slip of the pen by Musfiroh (2008), Interlanguage by Slinker (1972), Cognitivism by Jordan ( 2008) and Jolly Phonic Method by Lloyd (2007).The results shows that determined orthographic errors exist in the classes of nouns, nouns adverbs and adjectives.Orthographic errors occured in vowel phonemes and consonant phonemes.The types of orthographic errors consist of 98 data omission, 35 data adition, 1 data inverted interlexeme mirror,28 data inverted intralexeme mirror and 19 data inverted shadow.The factors causing orthographic errors in Japanese vocabularies were due to 2 factors, namely negative language transfer and wrong teaching procedures.The treatment used to minimize orthographic errors in writing vocabularies using Japanese was by changing the conventional teaching method into a new way, namely inserting the theory of cognitivism and the application of the jolly phonic method, which was able to provide changes to a better direction in terms of values and psychology with an average value in first semester, those who had not been given treatment were at 55.75.Meanwhile, 6 months later after being given treatment, the average score for basic level pupils at Rizky Home School Kindergartenrose to 70.97, which indicatedthe scale of change was 35 % fairly effective.