Reviewerly/exHarmony huggingface dataset:
Арт-педагогіка в структурі сучасної освіти

International scientific conference «Innovative projects and programs on psychology, pedagogy and education» : conference proceedings, December 10–11, 2021. Riga, Latvia : “Baltija Publishing”, 2021. 212 pages.
Multidisciplinary Study of a Wetland in a Lakeside Lowland Area East of Lake Onega

Wetlands along the eastern and southern shores of Lake Onega are of interest because of their biodiversity, ecological function, and vulnerability to human impact and climate change. This study made a reference transect in the lake-river stretch on the northern bank of the River Andoma, which exhibits a change in natural conditions and an interaction between different ecosystem levels in the lakeside lowland area. Based on the results of the fieldwork, a profile of ground-penetrating radar observations with a total length of 4800 m was completed, supplemented with boreholes and soil sections. The combination of ground-penetrating radar data with field descriptions and the borehole survey produced a section that characterizes the variability of the mire system. The analysis of the section revealed zones differing in biological and ecological conditions caused by the action of several natural factors and contributing to biological diversity. Such reference transects provide a basis for the initial identification of vulnerabilities and for long-term monitoring of the ecological transformation of the region.&#x0D; Keywords: wetland, transect, ground-penetrating radar, ecosystems, Lake Onega
Administrasi Pendidik dan Tenaga Kependidikan (PTK) 1

This article discusses the administration of educators and education staff, the purpose of writing to know that the reader can know the role of educators and education staff in administration. In order not to lag far behind, school or college administration, the level needs to be done so that preparation for completion is easier to graduate. administration of educators and education staff includes parts of staffing administration, financial administration affairs, administration of facilities and infrastructure, administration of school relations with the community, administration of correspondence and filling, student administration and curriculum administration. And also special service officers consisting of school guards, gardeners, cleaning staff, school drivers conducted by teachers and collages conducted by a lecturer.
Design and Implementation of Recommendation System Using Sentiment Analysis in Social Media

In this current era, sentiment analysis and also recommendation systems are some of the most popular subjects for the majority of the researchers, and on the other hand, these are the most important things for our regular life. The aim is to make valid recommendations and the most relevant tweets to the user of this model by extracting and analyzing random tweets based on a particular user address or hashtag. Nowadays, people value time over money, so we aim to save the user his or her most precious time and recommend the pertinent tweets. This model will filter out all the irrelevant as well as the inappropriate tweets and try to provide the gravest and valued tweets from Twitter. This filtration will happen based on the tweet’s public features as well as the attributes of the respective tweeter such as his or her follower count. The most initial concepts of machine learning, recommendation system, and sentiment analysis are understood and implemented to be able to propose the mentioned model. The tools to work with the mentioned topics are implemented to evaluate prominent output with utmost effort throughout. Let alone being used in product recommendation systems, our proposed method is also capable enough to maintain a consistent and effective performance in other fields.
The Internet Access for Junior High School Students in Utilizing Science at Makassar City

The internet is considered as a transformation of information both interpersonally and multipersonally. The purpose of this study is to use the internet of junior high school students in the First in the utilization of Science. The type of research is quantitative. The research uses a questionnaire or questionnaire to obtain the primary data of the study relating to the problem under study distributed to each respondent who has been selected as a sample of 162 students. The results of the study showed that the majority of students had the level of access intensity categorized as being with the contents of the information related to science in a matter of hours. The internet provides a very useful contribution in terms of obtaining information relating to the tasks of the school and other information that is quite even very supportive in developing the potential of students in obtaining and absorbing global information
Implementasi Metode Accrual Basis dalam Sistem Informasi Akuntansi Arus Kas

A cash flow statement is a financial report that contains information on cash inflows and cash outflows from a company during a certain period. This information is presented according to the type of activity that causes the cash inflows and outflows to occur. Company activities generally consist of three types, namely, operational activities, investment activities and financial activities.&#x0D; The process of receiving and disbursing cash is also recorded at any time for the preparation of the company's income statement. Cash flow recording activities at this company are still manual where every company receipt will be recorded by employees of the finance department which will ultimately be recapitulated in the annual report and compared with other recording results such as cash disbursements.&#x0D; This system has many weaknesses where the information needed cannot be presented quickly and accurately, requiring a fairly complicated process for a longer time to check certain cash flows.
HyDrop-ATAC v1.0 v3

Step-by-step protocol for execution of HyDrop-ATAC.
THE CORRELATION BETWEEN STUDENTS’ ARTIFICIAL INTELLIGENCE AND THEIR ENGLISH READING SKILLS ACHIEVEMENT

Artificial intelligence is intelligence that is added to a system that can be regulated in a scientific context or it can be called artificial intelligence. Students usually use the media to improve their English skills with a variety of mobile applications in mastering effective and critical English in order to gain a better understanding of English reading skills. The aims of this study are to know the correlation between students’ artificial intelligence and their English reading skills achievement in the second semester class of the English Study Program at the Islamic University of Kalimantan, Muhammad Arsyad Al Banjari Banjarmasin. In this research, the researcher uses quantitative approach by correlation technique. To measure students' artificial intelligence, the author shares several questions related to the topic by using google form. The study population is a total of 30 students consists of male and female students in a class. After doing research, it was found that the correlation between students’ artificial intelligence and English reading skill achievement was quite high. This is indicated by the results of the research (0.67), where this value shows that there is a significant relationship between the variable x (students' artificial intelligence) and the variable y (learning outcomes of students' Reading achievement). As for the results showing that the mobile application helps improve students' reading skills in English.AbstrakKecerdasan buatan adalah kecerdasan yang ditambahkan pada suatu sistem yang dapat diatur dalam konteks ilmiah atau bisa disebut kecerdasan buatan. Siswa biasanya menggunakan media untuk meningkatkan kemampuan bahasa Inggris mereka dengan berbagai aplikasi seluler dalam menguasai bahasa Inggris yang efektif dan kritis untuk mendapatkan pemahaman yang lebih baik tentang keterampilan membaca bahasa Inggris. Tujuan dari penelitian ini adalah untuk mengetahui hubungan antara kecerdasan buatan mahasiswa dengan pencapaian kemampuan membaca bahasa Inggris pada semester dua Program Studi Bahasa Inggris di Universitas Islam Kalimantan, Muhammad Arsyad Al Banjari Banjarmasin. Dalam penelitian ini, peneliti menggunakan pendekatan kuantitatif dengan teknik korelasional. Untuk mengukur kecerdasan buatan siswa, penulis membagikan beberapa pertanyaan terkait topik dengan menggunakan google form. Populasi penelitian ini berjumlah 30 mahasiswa yang terdiri dari laki-laki dan perempuan dalam satu kelas. Setelah dilakukan penelitian, ditemukan bahwa hubungan antara kecerdasan buatan siswa dengan pencapaian keterampilan membaca bahasa Inggris cukup tinggi. Hal ini ditunjukkan oleh hasil penelitian (0,67), dimana nilai ini menunjukkan bahwa terdapat hubungan yang signifikan antara variabel x (kecerdasan buatan siswa) dan variabel y (hasil belajar terhadap prestasi membaca siswa). Adapun hasil yang menunjukkan bahwa aplikasi mobile membantu meningkatkan kemampuan membaca siswa dalam bahasa Inggris.
Sistem Akuntansi Penjualan Pada Toko Bangunan Impian Kaliwungu

Kaliwungu Dream Building Shop is a business engaged in the sale of building materials and building-producing tools. This trading business sells various materials and tools for building buildings such as sand, cement, nails, paint, hammers and so on. The Dream Building Shop was founded by Mr. Zaenal, whose address is Jalan Raya Sekopek No. 10 Sarirejo Kaliwungu, Kendal Regency.&#x0D; Kaliwungu Dream Building Shop in recording sales transactions, purchases and reports - reports still use the manual method by writing them into a book, this method still requires time which is relatively old and prone to calculation errors, as a result you have to work 2 times or even many times to recalculate transactions that occur. Factors that are generally controlled are human errors that occur in cooking data and storing &amp; maintaining paper-shaped documents, where this is very difficult to overcome. In addition, the process of searching for data or inventory is also less effective and efficient. also affect customers, even though performance according to the store is needed to satisfy customers.
Algorithms on a variable-size rectangular interface

The purpose of this paper is to elaborate approximate algorithms capable of generating two-dimensional interfaces that contain a given set of services adapted to the user&#x2019;s context. The proposed methods give good solutions that minimize the used surface, by taking in consideration the placement and the positioning of the tiles. The obtained interface from packing all the tiles into a variable-size bin should be adapted and very simple to use. In order to increase the usability of these solutions (configurations) we develop a mathematical modeling incorporating different Human-Computer Interaction constraints for an exact resolution. Such a placement is performed on the basis of the importance and the category of the proposed service in the tiles. Moreover, we suggest two approximate approaches: a heuristic based on shelf strategy and a memetic algorithm. The exact resolution of the proposed multi-objective mathematical model gives an optimal solution only for small and medium instances. For the other instances, it is difficult to reach the optimal value in a short running time, which shows the practical interest of the proposed approaches.
THE DEVELOPMENT OF ANDROID-BASED LEARNING MEDIA ON THE ORGANIC COMPOUNDS

General Chemistry is one of the compulsory subjects offered in the first year joint lectures at the Mathematics and Natural Sciences Education Department, FKIP Universitas Palangka Raya. The Covid-19 pandemic that has hit countries globally has had its own impacts and challenges for educational institutions, especially universities. Basic chemistry online lectures have combined various platforms such as google classroom, Edmodo, whatsapp groups, and online meetings such as google meet and zoom. However, this platform has some constraints, especially signal constraints, data packets, and management of shared data. Therefore, interactive learning media was developed, which can integrate text, images, audio, video and graphics, namely Android. This study aims to develop android-based general chemistry learning media on organic compound material and describe the feasibility of basic chemistry learning media. The development model used is the DDD-E model. The results of the development showed that the product resulting from the development process is an android-based learning media application in the form of an interactive e-book consisting of lesson plans, concept maps, instructions, materials, laboratory experiments, evaluation and team. Android-based learning media in the form of e-modules is suitable for use in learning Basic Chemistry. The results of the material expert's assessment obtained an average value of 82.14% (Good). The results of the media expert's assessment obtained an average value of 87.5% (Good).
DEVELOPING PANORA-MED AS MEDIA FOR TEACHING DESCRIPTIVE TEXT WRITING AT SEVENTH GRADE STUDENTS

The aim of the study was to develop a multimedia learning for the teaching and learning descriptive text writing at the seventh grade students of SMPN 1 Sepauk called Panora-Med (Panoramic Media). The method of this research was the ADDIE (analyzing, designing, developing, implementation, and evaluation) model by Branch (2009) as the procedure to develop the multimedia. However, the researcher only implemented three phases which were analyzing, designing, and developing (ADD). The multimedia functioned well and fulfilled all of the assessment criteria. Therefore, this study showed that Panora-Med learning multimedia is usable to support the teaching and learning descriptive text writing. The designed product was completed by using PowerPoint presentation. The activity in the Panora-Med learning multimedia is in the form of descriptive text writing activity which allowed the students to increase their knowledge of descriptive text writing. In conclusion, Panora-Med learning multimedia is usable to ease the teaching and learning process of descriptive text writing.
E-Writing: The Effectiveness of Using Writing Application in Distance Learning

The primary aim of this study was to explore the effectiveness of teaching writing skill using E-Writing application in distance learning from the viewpoints of higher education students of Islamic State University of Semarang. Mix method were used as the research design. The quantitative data were obtained through one group pretest posttest design to know the effectiveness of the application to student’s writing achievement. Then, a questionnaire was used to investigate student’s attitude toward the writing application. The results of the writing test showed that student’s writing was improved. The average score of student’s pre-test score was increased for about 27 points, from 59 points to 86 points on post- test. The analysis of student’s questionnaire demonstrated conceptions about using technology of doing independent learning especially in English learning. The study showed that students admit the effectiveness of technology in distance learning and they believe that having learning independency will help them to adapt in any situations
Virtual Reality Tool for Exploration of Three-Dimensional Cellular Automata

We present a Virtual Reality (VR) tool for exploration of three-dimensional cellular automata. In addition to the traditional visual representation offered by other implementations, this tool allows users to aurally render the active (alive) cells of an automaton in sequence along one axis or simultaneously create melodic and harmonic textures, while preserving in all cases the relative locations of these cells to the user. The audio spatialization method created for this research can render the maximum number of audio sources specified by the underlying software (255) without audio dropouts. The accuracy of the achieved spatialization is unrivaled since it is based on actual distance measurements as opposed to coarse distance approximations used by other spatialization methods. A subjective evaluation (effectively, self-reported measurements) of our system (n=30) indicated no significant differences in user experience or intrinsic motivation between VR and traditional desktop versions (PC). However, participants in the PC group explored more of the universe than the VR group. This difference is likely to be caused by the familiarity of our cohort with PC-based games.
Solar Energy

This chapter lays the theoretical foundation governing solar radiationSolar radiation processes and variations on both spatialSpatial and temporal scales. The origin of the insolationInsolation parameter in the Sun’s core, its journey to the Earth’s atmosphereAtmosphere, the interaction with the atmosphereAtmosphere, and its conversion into electricityElectricity in photovoltaicPhotovoltaic modules are discussed. The spatialSpatial and temporal distributions of the insolationInsolation parameter arising from seasonal/latitudinal variations and cloudCloud cover effects are explored. The work presented in this chapter aims to provide guidance to knowledge seekers and enthusiasts who aspire to understand the solar energySolar energy process.
New Approach to Detect Replay Attack for Speaker Verification System Using High Frequency Features and ELM Based BiLSTM

Replay attack is vulnerable to automatic speaker verification system, where the frauds get the access by replaying the pre-recorded speech utterances of the genuine speakers. In this proposed work, we mainly concentrated on high frequency band and classification part. This paper shows the importance of higher frequency band (6 kHz to 8 kHz). The huge difference between genuine and spoofed speech spectrum is also explained which is caused due to imperfection occurred by using multiple anti-aliasing filters. Alongside, Constant-Q Cepstral Coefficients (CQCC) technique is used to extract magnitude discrimination power features set to detect the replayed spoof attack for speaker verification. Further the ELM based BiLSTM is proposed to improve the system performance. The proposed framework shows better results of Equal Error Rate (EER) to 05.26&#x0025; for development set and 8.44&#x0025; for evaluation set.
Using the Gold Standard for data archival at kilohertz speeds

Serial femtosecond X-ray crystallography (SFX) involves the collection of thousands to up to millions of images in a few minutes.Being able to process these data at speeds that match the data collection rate is critical for scientists who need fast feedback on their data quality.Doing this while simultaneously creating data that fits FAIR standards (Findability, Accessibility, Interoperability, and Reusability) is challenging, and has been the focus of the High Data-Rate Macromolecular Crystallography (HDRMX) working group.We have recently published a consensus best-practice NeXus representation of a complex, multi-panel detector, the Jungfrau 16M from the SwissFEL Bernina endstation [1-2].256 individual panels are described and positioned in real space using a vector transformation system that is standard in NeXus, is machine readable, and completely specifies the experimental geometry.We have implemented this approach during a subsequent data collection at the EuXFEL on the AGIPD detector, similar in geometry to the Jungfrau 16M [3].Here we collected data at 2kHz and demonstrated the ability to process these data at these speeds with the software package DIALS on the Maxwell computing cluster at DESY, using 96 nodes, 80 cores per node.This required careful attention to how the data were laid out on disc.These methods and the NeXus framework for SFX will be presented.[1] Bernstein, H.J., et.al. (2020).Gold Standard for macromolecular crystallography diffraction data.IUCrJ, 7(5) 784-792.[2] Ingold, G., et.al.(2019).Experimental station Bernina at SwissFEL: condensed matter physics on femtosecond time scales investigated by X-ray diffraction and spectroscopic methods.J. Synchrotron Rad. 26, 874-886.[3] Allahgholi, A., et.al. (2015).AGIPD, a high dynamic range fast detector for the European XFEL.JINST 10 C01023.
Сучасні педагогічні технології в початковій школі

International scientific conference «Innovative projects and programs on psychology, pedagogy and education» : conference proceedings, December 10–11, 2021. Riga, Latvia : “Baltija Publishing”, 2021. 212 pages.
Breast cancer image enhancement with the aid of optimum wavelet-based image enhancement using social spider optimisation

This paper is to enhance features and gain higher traits of breast cancer images utilising optimum wavelet-based image enhancement (OWBIE) with social spider optimisation (SSO).More than a few biomedical images are of low quality and difficult to detect and exact information.The converted gray pictures are utilised for filtering approach; here optimum wavelet-based image enhancement with social spider optimisation, histogram equalisation, anti-forensic distinction enhancement process and curvelet centred distinction enhancement are used.The proposed technique is used to remove noise and hold area moderately sharp in the fed enter images.In the results, more than a few mean absolute error (MAE), mean square error (MSE), root mean square error (RMSE), peak signal to noise ratio (PSNR) and structural similarity index measure (SSIM) evaluation metrics graphs are analysed and enhanced.This proposed process performed better in comparison with different enhancement techniques.
NIKOLAUS ARNONCOURT: “NEW UNDERSTANDING” AND PROBLEMS OF INTERPRETATION OF ANCIENT MUSIC

The approach proposed by the famous conductor of our time N. Arnoncourt to interpret the music of the past as the “language of its era” includes a number of components (understanding music based on its own laws; the need for historical knowledge, etc.) and opposes “aesthetic music making”, which demonstrates exclusively the technical side of the execution.
Real-Time Face Mask Detection Using MobileNetV2 Classifier

Since the flare-up of the COVID-19 pandemic, generous advancement has been made in the field of PC vision. The coronavirus COVID-19 pandemic is producing a worldwide health crisis, according to the World Health Organization, and the most effective safety approach is to wear a face mask in communal locations (WHO). Several methods and strategies have been used to develop face detection models. The suggested method in this research employs deep learning, TensorFlow, Keras, and OpenCV to detect face masks. Since it is somewhat asset proficient to introduce, this model might be utilized for wellbeing contemplations. The SSDMNV2 approach uses Single-Shot Multi-box Detector as a face detector and MobilenetV2 architecture as a framework for the classifier. MobileNets are built on a simplified design that builds low-weight deep neural networks using depth-wise separable convolutions. Using a face mask detection dataset, a real-time face mask identification from a live stream using OpenCV is accomplished. Our objective is to use computer vision and deep learning to determine whether or not the individual in the picture/video transfer is wearing a face veil.