Reviewerly/exHarmony huggingface dataset:
Formation of student professional skills under pandemic conditions

The study aims to analyze the process of developing students’ professional skills and characterizing the degree of formation of this type of skill in the educational process during a pandemic. Methodology. In the course of the research, data from international studies and scientific publications have been used, as well as the results of students’ and teachers’ surveys on their position and development of professional skills of students during pandemic constraints of the educational process. Results. Through the methods of questioning, the pros and cons of distance learning from the point of view of degree-seeking students have been revealed, which is important for the formation of a student-oriented model of higher education. Advantages of distance learning include as follows: a flexible learning schedule, compatibility of work and study, mastering additional skills, courses, hobbies, and increasing motivation for independent learning. Disadvantages of distance learning during a pandemic are as follows: technical problems, lack of Internet access, the difficulty of self-study, low level of information technology level proficiency among teachers and students. It has been determined that students and educators require additional support during the pandemic.
Priority Factors for the Adoption of Cloud ERP Based on the Perspective of Consultants and SMEs

The presence of cloud computing technology is driving changes in the way ERP vendors design, develop, implement, develop and sell ERP products that were previously treated as goods into services. The existing ERP product players who previously provided on-premise ERP solutions are now also providing SaaS solutions to compete with new players providing SaaS solutions. Previous research on the adoption of cloud computing-based ERP has always looked at the adoption factor from the SMEs side, even though the success of implementation is largely determined by the consultant. This study aims to see if there are differences in the priority factors for the adoption of cloud computingbased ERP. This is important because there is a change in the role of consultants who previously played a lot in technical matters for implementing on-premise ERP to SME business process management in SaaS ERP implementation because the technical complexity has been handled by the Vendor. This study uses descriptive statistics to perform different tests and the Entropy method to determine the priority weights of cloud computing-based ERP adoption factors. The results of the study indicate that there are differences in the priority of adoption factors from the consultant's side, the largest is the regulation factor and from the SME side is available resources. For the lowest priority, it turns out to be the same in terms of consultants and SMEs, namely data control. Keywords— Adoption Factor, Consultant, ERP, SaaS ERP, SMEs, consultant, Adoption factor, Entropy.
The development of a probing prompting-based student worksheet to improve fourth grade students’ critical thinking ability

This study aims to develop a probing prompting-based student worksheet to improve students' critical thinking skills. The research followed the Borg &amp; Gall research and development model, conducted at SD Negeri 1 Metro Timur, Metro City, Lampung, Indonesia. This research adopted a purposive sampling technique with a total of 46 students divided into 23 students in the experimental class and 23 students in the control class. The research data collection techniques were obtained using questionnaires, documentation, and learning outcomes tests. The results showed that the probing prompting-based student worksheet developed was feasible, interesting, easy, useful and effective to use. Finally, the findings have implications and limitations for future research.
Postnonclassical meanings of pedagogical definition of the essence of academic culture of applicants for higher professional education

Chepelevskaya M
PBFT-based Regional Energy Internet Blockchain Transaction Consensus

Energy Internet interconnects a large number of energy nodes of various types of energy networks composed of distributed energy generating devices, distributed energy storage devices and various loads. It realizes two-way peer-to-peer energy exchanging and sharing network, which is an important application scenario of blockchain. As more producers and consumers join the energy Internet, a large number of consensus demands for energy transactions are generated. The consensus mechanisms widely adopted in the energy blockchains are generally hardly ensuring the effective development and conduct of transactions with the expansion of an energy Internet. In this paper, a regional energy Internet blockchain consensus mechanism based on the PBFT method is proposed for the distributed power transaction scenario. The mechanism selects consensus groups based on reputation, which reduces the probability of consensus group nodes appearing Byzantine nodes, and keeps away from the problem of excessive centralization of consensus group nodes caused by fixed consensus group nodes. Local, high-reputation nodes in a certain quantitative participate in consensus, avoiding the problem of reduced consensus efficiency caused by the increasing number of consensus nodes when the PBFT consensus mechanism is adopted. Multiple groups of consensus nodes participating in consensus concurrently could reduce the possibility of consensus nodes being attacked and ease the consensus pressure of fixed consensus group nodes. The scalability of the microgrid under the regional energy Internet scenario is improved. Experimental results confirmed the effectiveness of the proposed mechanism.
PENERAPAN MODEL PEMBELAJARAN COOPERATIVE LEARNING “THINK TALK WRITE” DALAM MENULIS CERITA FANTASI PESERTA DIDIK KELAS VII-F SMPN 1 WONOAYU SIDOARJO

The purpose of this study is that students are able to write fantasy stories through the Think Talk Write learning model. The researcher applies a Think Talk Write learning model that is applied to students of class VII-F Wonoayu Sidoarjo 1 Junior High School. Researchers use the application of learning models, namely learning Think Talk Write. This learning model helps students to get maximum learning outcomes in groups so as to foster a sense of family and cooperation. Learning to write fantasy stories was chosen as the study material because it had not yet achieved the ability of students to write fantasy stories. This is based on learning outcomes that have not yet reached the expected KKM.
Komparasi Model Prediksi Kurs Pada Masa Pandemi Covid-19 Menggunakan Neural Network Berbasis Genetic Algorithm dan Particle Swarm Optimization

Data from Bank Indonesia shows that the rupiah exchange rate against dollar weakened at the beginning of the Covid-19 pandemic. This exchange rate volatility is an important problem in the Indonesian economy. Therefore, the prediction model for the exchange rate against the dollar is needed during the Covid-19 pandemic to predict the exchange rate during the Covid-19 Pandemic. This study is proposed to compare the prediction of the rupiah exchange rate against the dollar using the GA-based Neural Network algorithm and the PSO-based Neural Network algorithm. Initially the data was collected in the period 2019 to 2021, then the data is preprocessed. Validation used the k-fold validation technique with a ratio of 70:30, while the evaluation is carried out with the output of RMSE. The results showed that the performance of PSO and GA was the same, namely 0.020 +/- 0.006.
Shafiyyatul Amaliyyah School Student Face Absence Using Principal Component Analysis and K â€“ Nearest Neighbor

Pattern recognition is one of the sciences used to classify things based on quantitative measurements of the main features or properties of an object. Pattern recognition has been widely used in various fields of research. One of the pattern recognition that is often discussed is facial recognition. The face is one of the human biometrics that is often used as the main information of a person. Face recognition is a field of research with many applications in applications such as attendance, population data collection, security systems, and others. The research utilizes feature extraction of PCA (Principal Component Analysis), and K-NN (K â€“ Nearest Neighbor) with variations of the distance formula by applying facial recognition attendance at the Safiatul Amaliyah School. This research is expected to get accurate results in detecting, recognizing, and comparing a person's face with a small error rate. The distance formula with accuracy level is presented with the equation Cityblock &lt; Euclidian &lt; Minkowski &lt; Chebychev. The effect of applying the variation of the distance formula on the performance of the facial attendance recognition model is not too big, but it is better.
3D Face Scanner Comparison: Visual and Anthropometric Accuracy Analysis

Compared to traditional manual measurement methods, 3D face scanning has opened more design possibilities for face protection product development, such as masks and goggles, by acquiring the three-dimensional shape and dimension.Various scanning technologies have been developed with different levels of price, expertise, and functional sophistication.In order to appropriately utilize 3D face scan data for a particular purpose, it is crucial to understand the characteristics of each scanner and validate their accuracy.The purpose of this study was to compare the visual and anthropometric accuracy of 3D face scanners and explore the characteristics and applicability of each scanner.Threedimensional face data of nine participants were acquired with three scanners: Artec Leo, Structure Sensor, and Bellus3D FaceApp.Before scanning, seven landmarks were marked, and five measurements were taken manually.The visual accuracy of each scanner was evaluated by experts through a survey with real-time comparison between scan and real face.It included assessment for distortion of textured and non-textured scans, as well as the visibility of landmarks.Measurements were obtained using Rhino 7 and Anthroscan ScanWorX software, and the anthropometric accuracy of each scanner was compared based on the manual measurements.The results of this study presented the visual and dimensional accuracy of the face mesh creation of three scanners, providing a comprehensive review of possible uses in consideration of the cost and usability of each scanner.
The Current State of ―Information Security Awareness‖ in German SMEs

The role of information security in German SMEs is becoming increasingly important. External input plays a key role here, but some of it tends to overwhelm SMEs rather than providing systematic assistance that can be readily implemented. In a project funded by the German Federal Ministry for Economic Affairs and Energy, an overall scenario for new ways to achieve more sustainable information security (IS) in German SMEs is being developed, one that puts people at the heart of the measure. In addition to a current literature search on the situation in companies, the current state of information security and IS awareness is recorded in the project through a combination of different methods: indepth psychological interviews, an online survey in four pilot companies and security-related competence profiles derived from the German IT-Grundschutz. This article presents some preliminary results published. Keywords—Information security, awareness, human factor, German SMEs, in-depth interviews, survey, competence profiles, security topics, training methods.
Prediksi Pola Penjualan Produk Herbal Menggunakan Algoritma FP-Growth

The sales pattern in principle is a need to build and develop a business, so that the progress of a business needs a strategic pattern to be able to increase sales. One pattern that can be applied is the sale of herbal products, because the herbal product business if it has the right pattern can certainly increase sales results and convenience for sellers and buyers compared to manual settings. The arrangement of the composition of herbal products can make it easier for customers to choose related products. Sustainable product predictions can be easily recognized by sellers. The prediction of sales patterns in this study uses transaction data as many as 33 sales transactions in less than the last three months sourced from sales of herbal products from HNI Business Center 2 Batam. Based on sales analysis using the FP-Growth algorithm, it has been able to predict the sales pattern of herbal products in the future. Furthermore, the transaction data is processed using Rapidminer Studio version 9.0 software with a total of 68 transaction data, so from the results of testing this method, the percentage of success is 80%. The comparison uses 10 samples of sales data. Opportunities to choose interrelated products are very helpful for customers when shopping and predicting future customer needs. Prediction of sales pattern has been able to help in overcoming the instability of herbal product inventory at HNI Business Center 2 Batam.
Algorithmic and Advanced Programming in Python - Syllabus in Computer Science, Decision Making &amp;amp; Data - Masterclass 9

This paper is the last one of a series of 9 lecture notes in Algorithmic and Advanced Programming in Python that are part of the Syllabus of Dauphine PSL's Master in Computer Science, Decision Making & Data. It taught advanced data structure in python with a focus on core and practical details to learn the ins and outs of advanced data structures. In this lecture, you will learn about searching.
Augmented Hotelier

The integration of artificial intelligence (AI) and neuroscience, along with the Internet of Things and extended reality will provide hotel employees and services with augmented capabilities. The term augmented hotelier stems from theoretical concepts such as transhumanism and technological singularity. Transhumanism is a theoretical movement that refers to the evolution of human beings as a result of their integration with technology. As a consequence of this integration, both their physical and intellectual conditions are augmented. The concept of technological singularity refers to the evolution of AI to a degree in which it is capable of self-creating and self-developing its own intelligence, thereby being able to dominate diverse social and economic dynamics. AI or neurotechnology evolutions recognize scenarios in which hotels and their employees might develop augmented capabilities that completely change the traditional management and business models. This supports smart tourism and smart hospitality, where integrated systems optimize the tourism and hospitality industry
Influence of Corporate Social Responsibility on Market Capitalisation of Consumer Goods Firms in Nigeria

Influence of Corporate Social Responsibility on MarketCapitalisation of Consumer Goods Firms in Nigeria 1.1.The Problem Corporate social responsibility is the principal locus in examining the relationship between organizations and society.Duru and Morah (2017, p.275) highlight that CSR should be part of 'what every community gain from companies, industries and business establishments locate in communities.'Social service expectations from corporate firms have become very high in Nigeria, especially in the consumer goods sector, which has thrown up some opposing challenges such
Electronic Etiquette during the Pandemic: Theory and Practice of Teaching

In 2020 the coronavirus pandemic reached almost every country in the world and challenged their educational systems.This situation forced educators to shift to an online mode of teaching overnight.Many academic institutions that were earlier reluctant to change their traditional pedagogical approaches had no other option but to shift entirely to online teaching and learning.Thus, the role of ICTs in education, and email communication, in particular, has increased dramatically during the pandemic.A significant part of the educational process has turned to correspondence of students and teachers by corporate mail, to communication in chats and during online conferences.At the same time, students' lack of knowledge of electronic etiquette was revealed.They do not realise that writing status-congruent emails is a skill that requires high pragmatic competence and awareness of politeness conventions and email etiquette (also known as 'netiquette').It turned out that most students had no ideas of electronic communication rules and did not observe even basic rules of electronic communication.So, students of two universities (teacher training and technical) were given a questionnaire on electronic etiquette.Then the authors analysed and compared students' answers and came up with recommendations on teaching electronic etiquette to students based on the test results.These recommendations can be further used in teaching practices, during English classes mostly.
AN EFFICIENT THRESHOLD SECRET SHARING SCHEME USING FAST FOURIER TRANSFORM

Secret Sharing is a robust key management method which is having applications in password management, secure multi party computation, e-voting etc. Threshold secret sharing is a method in which out of all the parties only predefined or certain number of parties can reconstruct the secret. In this paper we will describe the most popular Shamir’s secret sharing scheme along with its limitations. In Shamir’s scheme each shareholder receives one share per secret. We can use alternative way ramp (packed variant) scheme which overcomes this limitation and reduces load on each individual shareholder. But this impacts on efficiency as degree of polynomial is increased. Either we must adjust the privacy threshold or number of shares needed to reconstruct. There is need of advance technique. An efficient secret sharing needs faster polynomial evaluation and interpolation. Here is an efficient secret sharing scheme using Fast Fourier Transform (FFT). In this polynomial evaluation as well as interpolation both speeds up. It has time complexity O(n log n).
'Particle informatics': evolving methods for understanding particle properties

In recent years, considerable investment has been made towards advancing pharmaceutical development and manufacturing through Digital Design approaches [1].Industrial scientists are moving away from time and resource intensive screening techniques to more rapid in silico methods to inform key decisions throughout the drug manufacturing process.The links between solid form and structural properties are well developed [2], but our understanding of the relationship between particle and surface properties and downstream manufacturability of an Active Pharmaceutical Ingredient (API) are considerably less established.By providing new methods for visualising and describing these key attributes, we can gain a deeper insight into properties that contribute to the way particles flow or how they form tablets under compression.Since describing these approaches and their application to the drug lamotrigine [3], we have continued to develop and refine the way that we can describe a particle and its properties.This presentation will discuss those advances and the challenges that lie ahead.Figure 1.The "Particle Informatics" workflow follows the journey from molecule to product.
Досвід викладання навчальної дисципліни «Молекулярна біологія» в Одеському національному медичному університеті

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.
ONTOLOGY ENABLED DISASTER MANAGEMENT WEB SERVICE USING DATA INTEGRATION

Meteorological disasters caused by extreme weather may result in damage to infrastructure, transport, livelihood, agro-industries and affects the overall economy of a country.To reduce losses due to disasters, an effective information retrieval system is required with the capability of dissemination of information about preparedness and an early warning to the disaster management authorities as well as individuals caught in the disaster.The paper presents an implementation of a web service that demonstrates archival and dissemination of disaster-related information, alerts to users in a platform-independent and machinefriendly manner.The proposed Web service processes MOSDAC INSAT3D satellite data.MOSDAC (Meteorological and Oceanographic Satellite Data Archival Centre) is a data repository of the Indian Space Research Organization (ISRO) and Government of India that deals with meteorology, oceanography, and tropical water cycles.The proposed implementation of web service aims to disseminate rainfall data at a location, provide information about nearby places (e.g., airport, hotels, hospitals, information centers, etc.), and give specific location details (e.g., elevation, population, humidity, high-temp, low temp).Web service demonstrates the capability of dissemination of alerts, early warning related to rainfall, and information required to prepare better rescue plans, which will help individuals as well as disaster management authorities for disaster management.
The concept of style in the scenic interpretation of a musical score

In the aesthetics of opera theater at the beginning of the 21st century, the concept of "style" is applicable only to a musical score. The impact of auditory and visual perception in an opera show contradicts the canons of classical opera, which are always focused on the synthesis of the arts that formed this phenomenon. The article is devoted to the urgent problem of the reform of the work, based on the ideals of contemporary drama. The mechanisms and ways of using the experience of a certain type of theater at the beginning of this century are considered by the author in a general historical and cultural context. The article reviews the innovative trends in the art of the opera singer. The purpose of the research is to present a singer-actor who is part of the operatic text. Using the experience of theater and music sciences, the author identifies the patterns of interaction between theatrical and musical series in the art of a singer. The author concludes that it is important to create scientific methods to research the above issues.
The Please Strategy Effect to Improve Paragraph Writing Skill At Universitas of Ibrahimy

Writing skill in English is a productive skill that involves several components such as topic, ideas, main ideas, supporting ideas, sentence structure, grammar, diction, and writing technique. University students must be able to compose well-structured and elaborated academic writing. They are urged to create credible writings in the academic field and one of the strategies that can be used is the PLEASE strategy. PLEASE strategy is a writing strategy that has six steps namely: Pick, List, Evaluate, Activate, Supply, End. Therefore, this research aims to find the effect of the PLEASE strategy to improve English writing skills of the university of students in semester 4 at the English Department, Faculty of Social Science and Humanities University of Ibrahimy Situbondo. The findings of this research were drawn by using Z-test. It shows that the PLEASE strategy can significantly improve students’ writing skills. PLEASE strategy can help students to think systematically and critically using all those 6 steps.