Reviewerly/exHarmony huggingface dataset:
The Role of the Teacher and the Community in Digital Education

The auditor of the contemporary global changes that occur in our lives today becomes clear to him that they are more than just emergency crises that end with the entry of the world into the twenty-first century or with minor modifications to our daily behaviors and skills. Rather, they indicate the emergence of a new era in thought, concept and application.Science develops within moments, and the added value resulting from its applications has increased its innovation and obsolescence processes, and every day new sciences and disciplines that were not known before appear, and its future orientation is centered on interdisciplinary and finding research entrances that contain these branches, while informatics is characterized by control, interaction and temporal and spatial communication. , which increased its employment in the educational and learning process, and led to the emergence of new and previously unknown educational institutions and patterns, and its future orientation is centered on smart systems characterized by taste, smell and sensation, and in the development of what is known as collective intelligence. As for the economic, political and cultural variables of globalization, they linked the global to the local, and made the world a small global village that exchanged influences, events and developments in all fields, which the global human being must learn to live in this global village with the values, trends and behaviors that qualify him to know others, deal with them and respect their cultural specificities, and that He learns to work in light of the increase in economic blocs, mergers, international standards and World Trade Organization (WTO) agreements, and in light of the increasing interdependence of the economies of countries, the increase in the movement of goods, services, labor, capital and investments among them, and the intensification of competition in local and global markets so that survival becomes the fittest, finest and least expensive in At the same time, he must learn how to participate in building civil society on the foundations of democracy, citizenship, positive dialogue, cultural pluralism, peace building and international cooperation, in light of the increasing interdependence.
The reality of e-learning and its impact on education in Iraq

E-education and training has become a feature of the present era characterized by rapid change and work to benefit from the applications of digital technology (electronic) in all areas of life. Especially after the outbreak of the (Corvid 19) epidemic recently. This research aims to assess the impact of e-learning on student satisfaction and commitment to the College of Business and Economics at the University of Baghdad. Where the descriptive analytical approach was applied, the primary data was collected based on a questionnaire designed for this purpose, and the five-step LIKERT scale was adopted in analyzing the data related to the subject of the electronic study. The data was analyzed using the statistical group (SPSS PC), where the correlation coefficient, mean, and standard deviation are calculated at a confidence level (0.95), and a standard deviation at a level (0.05). The Internet, which is now remarkably available, where the results of the overall evaluation among the variables appeared with an arithmetic mean (72%) and a standard deviation (3%). The results confirm the need to expand e-learning at all educational levels, which requires more government and local support; To achieve: quality, speed and ease, low expenditure, and taking into account the conditions of people with special circumstances and needs. The results confirm the need to expand e-learning at all educational levels. This requires more government and local support; To achieve: quality, speed and ease, low expenditure, and taking into account the conditions of people with special circumstances and needs.
Features of creative activity of the theater and cinema actor

The purpose of this article is to find out the mechanism of combining in the person of the actor different aspects of his activities in the role and to identify creative incarnations in the course of this activity. Research methodology. The research methodology is to apply an analytical and logical approach to understanding the activities of the actor, which allows us to determine the mechanism of his double participation in the creative process of experience. Scientific novelty. The analysis of features of the creative activity of the actor during game is carried out. The expressive participation of the actor in the creative process of experience is researched and revealed. Conclusions. The method of activity analysis revealed the "expressive incarnation" of the actor in the role. The difference between the actor's personality and his actions in the role is established. It has been found that in the course of the game, the actor partially deviates from his own actions in the role with the help of certain techniques. It is proved that due to such removal the actor perceives his own actions as the actions of a certain character. It has been observed that in this state, due to a partial change of consciousness, the actor controls the flow of experiences in the role.&#x0D; Keywords: actor, creative activity of an actor, acting experience, expression, consciousness, concentration, perception.
The Conflict Between Life and Death Instinct in The Scarlet Letter by Nathaniel Hawthorne

This study aims to show how Hawthorne uses characterization techniques and figurative languages such as metaphor and simile to describe the mental state of Arthur Dimmesdale and Hester Prynne's characters. This study uses a qualitative method with a psychological approach. The theory used in this research is the theory of life instinct and death instinct by Sigmund Freud. This study analyzes the style of language and characterizations to reveal the characters' mental conditions and inner conflict. The results of this study show that Hawthorne uses characterization techniques and figurative language to tell the conflict between the life and death instinct in Arthur Dimmesdale and Hester Prynne. Arthur Dimmesdale represents human weakness and hypocrisy that results in feelings of regret, inner conflict, and suffering that lead to the instinct of death. At the same time, the character Hester is described as having a strong and patient nature that leads to the instinct of life. This study concludes that Hawthorne uses characterization techniques and figurative language such as metaphor and simile to show the characters, Dimmesdale and Hester. They experience inner conflicts and life and death instincts.
Machine Learning for Multilabel Emotion Classification in Arabic Tweets

Multilabel emotion classification is a high priority because it mimics real-life scenarios in which people display a variety of emotions. The text could express a collection of emotions such as happiness, love, and optimism, or sadness, anger, and pessimism. In this framework, the Arabic tweets data provided by SemEval 2018-Task1, E-c subtask have been first preprocessed through different normalization steps, including stemming, stop word removal, special characters, and digits removal. An emotion lexicon has been built to replace the emotions with their meaning related to emotion classes. A word embedding pre-trained model Aravec has been implemented for the feature extraction process because word embedding performed better in this task than other features such as the N-gram model. In the classification process of our framework, different machine learning techniques have been implemented, including Multi-Layer Perceptron (MLP), Support Vector Machine SVM, K Nearest Neighbor (KNN), Ensemble Random Forest (RF), and Ensemble Extra Tree. The best performance was achieved using MLP, whereas SVM proved to perform best over other Traditional machine learning techniques such as KNN, RF, and Extra tree. Extra tree achieved a multilabel Jaccard accuracy of 26.2%, Nearest Neighbor (KNN) of 37.5%, Ensemble Random Forest (RF) of 29.1%, and SVM accuracy of 46.3%. A neural network model Multi-Layer Perceptron (MLP), achieved an accuracy of 48%. The proposed framework has been compared with different previous machine learning models built for this task; the results obtained by the proposed framework outperform other previous models in most cases.
PH.D. TRAINING PROGRAMS IN THE FEDERAL REPUBLIC OF GERMANY

The paper considers the types of Ph.D. training programs in the Federal Republic of Germany: individual doctoral programs, which provide for earning the degree in industrial companies, universities, non-university research institutions (institutions of Fraunhofer, Helmholtz, Leibniz, Max Planck Societies), and structured doctoral programs that involve working on research in groups of doctoral students formed in research, postgraduate, doctoral schools. The research studies the general principles of developing structured doctoral training programs: the availability of the critical mass of students who earn the degree in this program (at least 30 people); clear formalization of the training system (transparency of the admission procedures; system for assessing a doctoral student's achievements, which is clear and acceptable to the scientific community; regulated rules of interaction of a doctoral student, his or her supervisor, the university, etc.), and suchlike. The advantages of each type of Ph.D. training have been determined. The biggest advantages of individual doctoral programs include the possibility to freely choose the research topic, to study under the supervision of a certain professor; those of structured doctoral study programs are short-term training, funding, being supervised by several professors, teamwork, which provides an opportunity to share views with other team members, supervisors. Among the disadvantages of individual Ph.D. training programs, the following issues have been identified: the long period of study, highly specialized subject of study, independent study of the material. For structured doctoral programs, these are multilevel admission procedures, compliance of the Ph.D. dissertation topic with the doctoral program, overloaded curriculum.&#x0D; Keywords: Federal Republic of Germany; higher education; individual doctoral studies; structured doctoral studies; PhD degree; research institutions.
DEVELOPMENT OF LAW ENFORCERS’ COMMUNICATION SKILLS IN ТHE USA

Based on the study of the experience of training law enforcement officers in the United States, there has been stressed in the article on the need to improve the police training considering development of communicative and interpersonal skills. These skills as well as creative thinking, problem-solving and decision-making skills are among the most needed for the professional efficiency of every law enforcement officer. The author considers that a new law enforcement agency serving the social needs and protecting the rights of citizens requires modern approaches to the police training. So, as the community-oriented policing is an important aspect of law enforcement work, police training academies should train their officers to interact effectively with public. Coming from the USA research outcomes, the core interpersonal competencies for law enforcement officers are identified as following: ability to use good judgment and to problem solve; capacity for empathy and compassion; capacity for multi-tasking; ability to demonstrate courage and to take responsibility; ability to be resourceful and show initiative; demonstrating assertiveness; possess and demonstrate integrity; capacity for engaging in teamwork and ability to collaborate. The contemporary methodologies like problem-based learning, communications-based instructions, and practical scenario training providing development of law enforcers’ communicative and interpersonal skills are analyzed in the article. Within training programs these methods integrate many of the educational results such as: thinking critically with the ability to analyze complex problems; locate, assess, and utilize significant educational resources; display outstanding skills related to written and oral communications; and develop into life-long learners by using their intellectual and content knowledge. The author says that the experience of the USA police training according to the mentioned sphere can be crucially useful for the police reform process in Ukraine.&#x0D; Кеу words: communication skills; interpersonal skills; law enforcers; police training; the USA.
Data-Driven Multi-modal Partial Medical Image Preregistration by Template Space Patch Mapping

Image registration is an essential part of Medical Image Analysis. Traditional local search methods (e.g., Mean Square Errors (MSE) and Normalized Mutual Information (NMI)) achieve accurate registration but require good initialization. However, finding a good initialization is difficult in partial image matching. Recent deep learning methods such as images-to-transformation directly solve the registration problem but need images of mostly same sizes and already roughly aligned. This work presents a learning-based method to provide good initialization for partial image registration. A light and efficient network learns the mapping from a small patch of an image to a position in the template space for each modality. After computing such mapping for a set of patches, we compute a rigid transformation matrix that maps the patches to the corresponding target positions. We tested our method to register a 3DRA image of a partial brain to a CT image of a whole brain. The result shows that MSE registration with our initialization significantly outperformed baselines including naive initialization and recent deep learning methods without template. You can access our source code in https://github.com/ApisXia/PartialMedPreregistration .
Digital Cytology in Exotic Practice

Digitization has enhanced the utility of cytology in private practice by allowing for rapid sample receipt and analysis, leading to better informed real-time patient care. Despite many advantages of digital cytology, understanding its limitations is required to avoid common pitfalls. A strong foundation in sample preparation and imaging techniques is also required to obtain high-quality diagnostic samples. By optimizing these factors, the benefits of digital cytology are maximized, allowing for the practice of high-quality point-of-care medicine that best addresses the needs of the patient and pet owner in a rapid time frame.
Retraction: Research on the Training Model of Business English Professionals Based on Big Data Analysis—Employment-oriented (J. Phys.: Conf. Ser. 1648 032143)

This article has been retracted by IOP Publishing following an allegation that raises concerns this article may have been created, manipulated, and/or sold by a commercial entity. In addition, IOP Publishing has seen no evidence that reliable peer review was conducted on this article, despite the clear standards expected of and communicated to conference organisers. The authors of the article have been given opportunity to present evidence that they were the original and genuine creators of the work, however at the time of publication of this notice, IOP Publishing has not received any response. IOP Publishing has analysed the article and agrees there are enough indicators to cause serious doubts over the legitimacy of the work and agree this article should be retracted. The authors are encouraged to contact IOP Publishing Limited if they have any comments on this retraction. Retraction published: 16 September 2022
Cooperation-Based Search of Global Optima

A new cooperation-based metaheuristic is proposed for searching gobal optima of functions. It is based on the assumption that the dynamics of the objective function does not change significantly between iterations. It relies on a local search process coupled with a cooperative semi-local search process. Its performances are compared against four other metaheuristics on unconstrained mono-objective optimization problems. Results show that the proposed metaheuristic is able to find the global minimum of the tested functions faster than the compared methods while reducing the number of iterations and the number of calls of the objective function.
Pengembangan Web Pemesanan Tiket pada Perusahaan Startup Skilldemy

Advances in technology like this are something that cannot be avoided in everday life because this happens in tandem with advances in the development of science. The web is a service that makes it easier for users to interact with other users and browse information from the internet. Skilldemy is a startup company fromt the city of Medan, which is engaged in education. Before seminars or workshops are held, instructors or students must first carry out an online-based administrative process via Messages from Instagram, while instructor who want to share their knowledge through seminars or workshops can coordinate via Messages from Whatsapp to discuss what materials will be brought. Because of these problems, it is necessary to build an online seminar or workshop ticket booking website to meet user needs in terms of ticket reservations. The result showed that the design of this website-based ticket booking system made it easier for the participants with the features provided in terms of information and ticket reservations.
Education and economic growth variations: Implications for post COVID-19 sustainable development recovery strategy in low-income countries

No country is like any other, therefore it is vital to ascertain factors explaining the differences in education and economic growth among and within the low-income countries. The main question is why are there variations in countries? The answers to this question has the potential to provide insights for designing and implementing post Corona virus infectious disease-19 (COVID-19) recovery strategies aimed at promoting inclusive sustainable development. Prior COVID-19 Sub Saharan Africa region contained the largest number of low income countries with low economic growth and lower access to education. An understanding of factors that explain the variations that existed before the COVID-19 should be considered developing recovering strategies. The study used a panel data summary statistics of education and economic growth dataset from the year 2000 to 2018 from 15 low income countries in Sub Saharan African to examine factors that explain the variations in education and economic growth patterns in those countries. The findings reflected that within individual countries rather than between countries variations explain the differences in education and economic growth. The findings led to the conclusion that education and economic growth variation trends observed in Sub Saharan Africa for the past 19 years are explained by variations overtime and not by time invariant factors between countries. Drawing on the observed trends overtime the implications for post COVID-19 sustainable development recovery strategy formulation are presented in this study.
Prospective Study on Professional Competence Development Planning of Higher Education Teachers in the Context of Big Data

Teachers play a key role in education, and education plays a key role in national development. The combination of these two key points fully confirms the key role of teachers in national development and social prosperity. Strengthening the teaching force is the most important basic work for educational development. At present, improving teacher training, professional quality, and teaching ability has become an important measure to improve the quality of personnel training in vocational training institutions. Only through in-depth analysis of training problems and targeted reforms can we improve the quality of training and make teacher training truly serve vocational training. Therefore, this study explores the problems and causes and proposes countermeasures by conducting a prospective study on vocational competence planning of higher vocational teachers under big data, based on a full analysis of Chinese and foreign literature.
The heirs of Korolev from the siberian Zheleznogorsk. About the engineering school of JSC "Information satellite systems named after M. F. Reshetnev»

The article considers the features of the engineering school formed in JSC "Information Satellite Systems named after Academician M. F. Reshetnev" (Zheleznogorsk): integral role of consensus group’s founder, harmony between senior's experience and youth’s impertinence, innovation activity orientation. Author summed up engineering consensus groups trends in a time of digital transformation.
AIOPS FRAMEWORK FOR ALERTING PERFORMANCE ISSUES IN MICROSERVICES USING TIME SERIES FORECASTING

For large scale applications based on Microservices architecture and hosted on scalable platforms like Pivotal Cloud Foundry or OpenShift, it is imperative to monitor the performance of microservices on a continuous basis and trigger performance critical alerts upfront when abnormal patterns are observed in the immediate past. One of the critical application performance indicators is Major Garbage Collection (Major GC), an increase of which causes application performance bottlenecks and might indicate insufficient memory allocation to the JVM or a potential memory leak. In this paper, we discuss a solution built using machine learning Algorithms that forecasts Major GC cycles (Number of Major Garbage Collection) of business critical microservices for the near future time periods. This paper discusses various algorithms within python’s stats models. tsa package that were explored and details the concepts and results of forecast models trained using Seasonal Autoregressive Integrated Moving Average, or SARIMA algorithm that was finally considered for forecasting based on model performance. The paper also elucidates the Forecast accuracy of the model, showing results of the forecast vs actual occurrences of Major Garbage collection. The objective of this solution based on AIOps framework is to enable development and production support teams get proactive notification when forecast Major GC patterns breach the set threshold limits, so that corrective action can be taken to improve the application performance by reducing frequency of Major GC cycles.
Modeling processes and apparatus based of computational fluid dynamics systems – new opportunities and problems

The development of computational fluid dynamics (CFD) systems was investigated in relation to spatial calculations of processes and devices. The cause of the insufficient predictive capabilities of CFD packages has been established. The possibilities of identifying fundamentally new phenomena of processes that are important in the design of devices are shown. The directions that necessary for the development of spatial computer design of processes and devices were outlined.
Analisis Tingkat Kepuasan Pelanggan Dalam Membeli Peralatan Kue Dengan Menggunakan Metode Rough Set Pada PT. XYZ

The level of customer satisfaction is very important for every company that carries out its business activities by selling the goods it produces. A company usually does a lot of activities to attract market prey to attract customers to buy its products, therefore paying attention to customer satisfaction is very important to know how the company's image among customers and among people who use the products of a company. making companies work harder in providing services, especially in controlling the feasibility of their products to satisfy customers. Cake equipment or cake ingredients are growing rapidly at this time, therefore researchers are trying to help the company in knowing the level of customer satisfaction using one of the existing methods. in the field of data mining, namely the Rough Set method. This method is expected to be effective in measuring the level of customer satisfaction and where later from the results to be obtained the company will know more about the level of customer satisfaction and the provision of menstruation for customers. for customers with different satisfaction criteria.