Reviewerly/exHarmony huggingface dataset:
The Rock Church of San Micidiario of the Pantalica Site and 3DLAB VR/ARProject

This work gives the first results of a research project funded by the Sicily region, aimed at the creation of virtual reality (VR), augmented reality (AR) models, in the context of some country of the territory of Sicily with UNESCO listed monuments.This project sees the collaboration between some universities on the island and some partners who produce software and automated robotics systems and AI.Below are the first results of the workflow produced for the creation of 3D models of one of the three rock churches of the necropolis of Pantalica: an Unesco site.It also describes the process underway to get to the creation of VR and AR models to be used with three different levels of immersive reality: normal commercial viewers, different types of Oculus viewers, or in special virtual rooms Cave Automatic Virtual Environment (CAVE), already existing or created within the project.
The problem of dialogicity in upbringing of the economic culture of young people

Research problem. The relevance of the study is due to the need to update the forms, conditions for organizing pedagogical interaction, aimed at the subjective mastery of the economic culture elements well-established in modern society by the student. The purpose of the article is to provide a theoretical and practical substantiation of the phenomenon of dialogicity in the upbringing of the youth economic culture. Research methods. The survey involved 104 students of the Rostov State University of Economics from the first to the fourth year of full-time and part-time education at the age of 17 to 33 years acting in educational program "Organization of work with youth." The survey included the questions, the purpose of which was to identify the needs of student youth in dialogue on economic topics. Research results. As a result of ensuring dialogicity in the upbringing of the economic culture of young people, an economic question that is most in demand among students emerged: "How to get a high-paying job?" After conducting dialogues of economic content, new economic issues emerged among students, directly affecting their professional activities in the field of organizing work with youth. In the process of solving the stated problem, there was a personally significant demand among students for dialogues of economic content, which manifested itself in them during the organization of various types of dialogues of economic content: career planning (30%), professional sphere (25%), personal budget planning (20%). Conclusion. As a result of the systemic organization of various types of educational dialogues (motivational, intergroup, intragroup, interpersonal, intrapersonal; dialogue with the past, present, future) in the open space "Boiling Point", in the process of studying the subject "Project Management in the field of organizing work with youth" in youth public organizations their specificity was revealed. Economic education is spontaneous in interpersonal dialogue in the student-student, student-teacher, student-parents system. The dialogue carried out in a professional environment is distinguished by its practical orientation, concreteness of content and purposefulness in terms of the economic education of students.
The Problem-Solution Approach to Study Indonesian Literatures in a Global Context

This study was aimed to describe the problems of learning literature and offered the solutions that were expected to overcome the problems of learning Indonesian literature in schools in a global context. This study used a qualitative approach and contextual methods through a literature study. The results of this study indicated that only through continuous efforts the problems of literary learning could be realized as follows: Students were needed to be guided to know literature in a fun way and instill longing. Students read literary works directly, not summaries or reviews. Students were given the freedom to convey various interpretations in discussing literary works. Every opinion or achievement of student work was given an award. The portion of literary appreciation must be prioritized in literary learning. Knowledge of theory, definition and literary history was sufficient to serve as secondary information when discussing literary works. Reading and writing skills were closely related to learning to appreciate literature. Literary appreciation began with reading activities, while literary expression was related to writing literary works. Thus, literacy development through literary learning in the form of reading habits and writing skills in turn was able to form a strong generation and can compete in a global life that was full of challenges.
PREDIKSI PENERIMAAN KARYAWAN BAGIAN DESAIN PADA EVENT ORGANIZER PT. SEIRAH WISATA MENGGUNAKAN ALGORITMA C4.5

ABSTRACT&#x0D; Human resources design section at an Event Organizer is a vital part considering that the design will be seen by the event participants in addition to the technical events. The selection of employees who understand design and have extensive experience is important. The process of selecting employees in the design field can sometimes be difficult to predict if there are several prospective employees with balanced abilities. From the calculation results of the dataset as many as 14 applicants using the C4.5 algorithm, the highest Gain Ratio value obtained in the design Ability and Experience = 0.7172, Origin of Schools = 0.0511 and Age = 0.0205.&#x0D; Keywords : event organizer, C4.5 algorithm, prospective employees, Gain Ratio
The Influence of Storytelling Method on the Public Speaking Communication Skills among the Students of Mercu Buana University Meruya West Jakarta

The study aims at identifying the public speaking communication skills among the students of Mercu Buana University Meruya, West Jakarta, before and after the implementation of the storytelling method. In addition, the study also aims at identifying the presence or the absence of the impact of the storytelling method on the public speaking communication skills of the Mercu Buana University students in Meruya, West Jakarta. By using the SPSS Version 20, 40 students have been gathered as the samples of the study and these students come from all faculties in the Mercu Buana University. After the data have been gathered, the data are analyzed using the descriptive statistical test and the hypothesis test. In this regard, the researchers have implemented the normality test and the hypothesis test. The hypotheses within the study are tested using the following criteria: (1) if the rate of significance &lt; a (sig. value &lt; 0.05) then Ho is rejected and Ha is accepted; and (2) if the rate of significance &gt; a (sig. value &gt; 0.05) then Ho is accepted and Ha is rejected. The results of the study show that the students of Mercu Buana University have understood the concept and the implementation of the storytelling method. From the results of the analysis toward the assessment category of the storytelling method, out of 8 assessment variables 3 variables do not have significant influence on the storytelling method that the students of Mercu Buana University have implemented and the three variables are Pressure, Material Disclosure, and Participant Gesture. In addition, the results of the paired sample t-test there are significant differences between the pre-test results and the post-test results. These findings show that the storytelling method is highly influential for the changes on the public speaking communication skills that the students of Mercu Buana University perform.
Blurred Image Recognition: A Joint Motion Deblurring and Classification Loss-Aware Approach

Image motion blur can severely affect the performance of the image recognition model. Traditional methods to tackle this problem usually involve image motion deblurring to improve the image quality before its recognition. However, traditional motion deblurring methods try to minimize the pixel-level distance between the deblurred image and the original image, which is not directly designed for improving the image recognition accuracy of the deblurred image. In this paper, we propose a joint motion deblurring and classification loss-aware solution. First, we introduce recognition loss into the motion deblurring model to improve the semantic quality of the deblurred image. Furthermore, we design a motion-blurred image recognition framework that involves both a motion deblurring module and an image recognition module, which enables the joint learning of the two modules. Finally, we propose to enhance the motion deblurring network with parameterized shortcut connections (PSCs) for balancing the importance between low-level and high-level features in the deblurring process. Experiments on our synthesized datasets have shown the effectiveness of our methods, with significant improvement in both SSIM and classification accuracy, as well as the perceptual quality of the deblurred images.
ANALYSIS OF THE SYSTEM OF SCHOOL EDUCATION. STRATEGY SETTLEMENT PROCESS

The subject of this article is the genesis of the professional culture of personnel management. The last decades of the 20th century were marked by various revolutions - scientific, technical, democratic, informational, sexual, etc. Their cumulative effect has been mostly reflected in the professional revolution that shapes the professional society around the world. This social revolution has global consequences. In addition to its extensive parameters, it also has intensive ones related to the deeply-rooted structural changes in the ways of working and thinking, as well as in the forms of its social organization. The professional revolutions in the history of Modern Times stem from this theory. Employees’ awareness and accountability shall be strengthened. The leader must be able to formulate and bring closer to the employees the vision of the organization and its future goal, to which all shall aspire. He should pay attention not to the "letter" but to the "spirit" of this approach.
METHOD FOR COMPUTER PREDICTION OF THE PROPAGANDIST’S BEHAVIOR UNDER THE REVERSE PSYCHOLOGICAL INFLUENCE

It was solved the actual problem of improving the accuracy of computer prediction of the malefactor’s behavior under the conditions of counteracting destructive propaganda, which allowed, taking into account the psycholinguistic study of the propagandist’s behavior, to take into account the peculiarities of the reverse psychological influence on him in order of building the most effective strategy for countering information propaganda. At the same time, the profiling approach has been improved to adapt it to the possibility of predicting the propagandist’s behavior in order to increase the efficiency of further use of a specialized quantum-semantic psycholinguistic analysis method. The method of predicting human behavior in social networks has been improved on the basis of the quantum-semantic psycholinguistic analysis method for the English-language text of propaganda discourse to take into account the peculiarities of information warfare in predicting. It was improved the forecasting accuracy for more efficient distribution of probabilistic estimates of the forecast in order to identify the most probable options for further malefactor’s actions. To prove the effectiveness and accuracy of the developed method, an evaluation of its functioning was conducted. The operation of some key modules of the advanced method was investigated experimentally. It was revealed an increase in the average accuracy of the malefactor’s actions prediction by 1% before the beginning of counteraction to the information and psychological influence and by 4% after the beginning of counteraction. It is expected to increase the percentage of efficiency in the application of the method in the process of counteracting destructive propaganda in the real conditions of the reverse psychological influence. The results of the study can be used by the subjects of combating destructive information and psychological influence in the further adjusting general strategy of counteraction to information propaganda in order to protect citizens from destructive information influence.
The Needs Analysis of English Learning on Nursing Students

The process of teaching and learning English in universities often encounters obstacles in their efforts to achieve learning objectives. The obstacle that often arises is the inadequate learning plan so that it affects the material and implementation of the learning process which is sometimes not in accordance with the field of science that is being studied by students. Seeing this, it is very important to plan learning by conducting a needs analysis based on students' needs for learning English. This study aims to analyse the need for learning English based on four basic skills and also to identify and describe the needs of nursing students’ mastery of the English language. This research was conducted using a qualitative descriptive approach. The object of this research is first year nursing students at STIKES NOTOKUSUMO. The data obtained illustrates that the purpose and motivation of students to learn English is to support academic development and be able to speak English. While their main obstacle is in terms of vocabulary mastery and understanding of grammar. The results of the analysis of English learning needs concluded that the importance of speaking and emphasis on grammar and vocabulary is needed to improve English language skills, especially for nursing students.
Efforts To Improve Students Ability To Identify Persuasive Speech Ideas To Use Learning Methods In Classroom Teachers IX SMP Negeri 4 Lolofitu Moi Study

Language skills are a process in order to convey ideas, messages, attitudes, and opinions to readers using symbols or language symbols. One of the materials that can support the success of language skills is through persuasive speech. Persuasive speech is a type of speech delivered with the aim of influencing the listener, persuading so that they are interested in what is being said. The purpose of this study was to improve the students' ability to identify ideas of persuasive speech text by applying the Peer Tutor learning method for class IX students of SMP Negeri 4 LölöfituMoi Learning Year 2020/2021. The subjects of this study were 24 students of SMP Negeri 4 Lölöfitu Moi class IX-1 semester I. This study uses a Classroom Action Research method with the implementation procedure are (1) planning, (2) action, (3) observation, (4) reflection. The results of the study using the Peer Tutor learning method showed that there was an increase in students' skills in identifying persuasive speech text ideas. This can be seen in the research findings of each cycle, namely cycle I with the average score achieved by students of 56.71 with the lowest score of 35 and the highest score of 70.While in the second cycle there was an increase with the average score obtained by students of 83.59. with the lowest score of 75 and the highest score of 95. Based on the results of this study, it can be concluded that using the Peer Tutor learning method can improve students' ability to identify persuasive speech text ideas and students are more active so that learning is more meaningful. With these conclusions, the recommended suggestions are (1) For Indonesian language teachers at SMP Negeri 4 Lölöfitu Moi to use the Peer Tutor learning method because researchers have conducted research and are proven to improve students' ability to analyze persuasive speech text ideas; (2) For future researchers, so that this research can be carried out even better, including in designing and modifying learning methods that can actually improve the learning process.
Media education facets within writings of A. V. Fedorov’s scholarly group: Political dimension

Empirical base of this article is comprised of five monographs by A.V. Fedorov and his colleagues published from 2013 to 2015. The author highlights several, from his point of view, the most urgent and important issues touched on in the writings considered. An idea is substantiated that necessity to develop social and political model of media education is becoming patently obvious nowadays.
MULTIMODAL EMOTION RECOGNITION BASED ON FEATURE FUSION FOR ENHANCEMENT OF HUMAN-COMPUTER INTERACTION

Emotions are intrinsically part of human mental activity and play a key role in human decision handling, interaction and cognitive processes.Recognizing emotion is an essential step to have complete interaction between human and machine.Emotion Recognition (ER) frameworks is especially significant for a human personal relationship.Feelings are created by some physiological changes.The clear view of this exertion is to find the capability of language and facemask components to convey the inclination precise data for improving the Human-Machine interaction.The methods and frameworks utilized in emotion detection may differ depending on the features reviewed.The combination of features is performed either at the decision level or the previous arrangement.Multimodal approaches by consolidating the method of cooperation brings about upgrading the level and outcomes in a productive ER framework as far as better execution and power.Since both these features compete one another, consolidating them brings about better as far as precision of 94.843%.The proposed framework was tried on ENTERFACE dataset and ongoing video.For Video, Speeded Up Robust Features (SURF) and Gabor highlights are utilized.
Role of Distance Education in Promotion of Women Education in Pakistan

Education plays a significant role in growth of mind and individual income as it helps an individual in contributing to society in a positive way. It positively affects the attitude of an individual in adjusting to the society and adds in economic and societal growth. The main objective of education is to reshape the personalities and attitudes of people to build a better society and grow the economy. In this way, women education becomes more important. There is a common saying, “If a man is educated, an individual is educated, and if a women is educated, the entire family is educated”. The distance learning mode of education has been recognized as a great resource to give equal access to education to the women from remote areas of developing countries including Pakistan. However, proper quality assurance systems are to be placed for distance and open education in order to avoid its misuse and to ensure uncompromised education. With this backdrop, the main objective of the present study was to assess the role of distance education in extending and promoting women education. The nature of the study was quantitative and survey type. The masters students {MA (Education)/MEd level} of Allama Iqbal Open University (AIOU) enrolled for spring semester-2018 to spring-2019, all the tutors of postgraduate Teacher Education Programs of AIOU, academicians relating to distance education and formal education programs were the population of this study. Due to lack of resources, and constraints of time and scope of the study, it was limited to four regions that were randomly sampled. A total number of 300 students from relevant programs were randomly selected i.e., 75 students from each region. 100 tutors of relevant programs were randomly sampled by selecting 25 tutors from each region. Questionnaires were used as research instruments. SPSS was used for data analysis. The data were analyzed and interpreted by applying statistical method of percentage and mean scores. The results show that the distance education has positively contributed towards women education. It has also improved their social, social skills, communication skills and the skills required for employment and entrepreneurship. The results further show that distance education has benefited the remotely located women in the country. However, the quality aspects of distance education need to be addressed to enhance further benefits to women who opt for distance education.
A Policy Based Data Security and Key Management System

Cyber Security, over the last few years, has been a topic of great research given the number of cyber crimes have been increasing. To provide cyber security , constant efforts are being made to secure the communications and to protect user data using various cryptography techniques. With the increasing number of cryptography, the number of keys used to secure communications also sees a high. It is always difficult to manage these keys and their identity in a multi process communication environment. This paper brings into light an approach for the enhancement of data security and cryptographic key management using a policy based key management system. An on the device approach is proposed which uses the file system to create a secure storage with enhanced security for the storage of the data . The access to this storage is governed by policies to allow an application based access to the storage. This model will provide a highly scalable secure storage and management of keys.
A Case Study of Error Analysis and Error Correction in College Students’ Argumentative Writing

English writing is an important means to measure the English learning level of learners.Among the five basic language skills of "listening, speaking, reading, writing and translation", "writing" is the most important language output in language learning, which can reflect the learners' comprehensive application ability of language.However, learners often make mistakes in their English compositions, which can largely reflect their level of writing.Based on the theory of error analysis, this study conducts error analysis through eight composition samples of the research subjects, finds out the characteristics of error distribution, explores the causes of error, finds methods and strategies to improve the writing of English learners, and further promotes the teaching of English writing.
Facial Expression Recognition based on Hybrid Featured CNN (FERHC) Algorithm

Human has various type of emotions by which his/ her mood can identify.There are three kinds of emotions such as basic, ambiguous, and complex type of emotions.Anger, joy, fear, sadness, neutral, surprise, and disgust are included in basic types of emotions.In the complex type of emotions pride, shame, anxiety, etc. are included.The ambiguous emotions are hope and compassion.The process which is used to detect human facial emotions is known as facial expression recognition.For a human, it is easy to understand the facial expression but for a machine it is difficult.The advancement in technology made expression recognition easier with the help of artificial intelligence.There are various applications of facial expression recognition systems such as user verification, mug shot matching, and user access control.There are several existing techniques of human facial expression recognition, but still, it is a challenging task.In the proposed work, an advanced learning-based CNN (Convolutional Neural Network) model with hybrid features is used to recognize human facial expressions.In images, some features are connection-oriented and some are edge-oriented, therefore hybrid methodology is used.The PCA (principal component analysis) and LBP (Local binary pattern) are used to extract the hybrid features from the image.For the classification of facial expression, a deep learning-based CNN model is used.Numerous fully connected layers are applied to the surface of one another in deep neural networks, for efficient recognition of complicated parts.The proposed model is evaluated on different parameters such as MSE, FAR, FRR, and accuracy.