Reviewerly/exHarmony huggingface dataset:
Exploring Teachers Views of Teaching through the Response Characteristics of Kinetic School Drawing(KSD) : Focusing on the Cases of Teachers in Mongolia

This study was conducted to explore the perceptions of the teaching professions felt by teachers in the school field by analyzing the response characteristics of teachers in the Kinetic School Drawing(KSD) using a non-verbal medium called art. The subjects were 35 general teachers and special teachers who participated in the “Training of Special Education Teachers for Strengthening in Mongolia”. As an analysis standard for KSD, the criterion suggested by Song & Jeong(2011) - activity-creation, happiness, emotional bond, positive classroom atmosphere, role expectation were evaluated on a 5-point scale. As a result of the study, first, the reaction characteristics between ages were the highest in the 20s in the activity- creativity, happiness, and role expectation. On the other hand, in the sense of emotional bond and positive atmosphere, the 30s had the highest average score. And in all sub-areas, the 40s had the lowest average score compared to other age groups, found that there was a significant difference in emotional bond in the 30s. Second, in response characteristics by work careers, teachers with experience of 10 years or more showed higher emotional bond when compared with teachers with experience of less than 10 years. Lastly, the special teachers showed slightly higher average scores than the general teachers in activity-creation, happiness, and emotional bond. In the positive classroom atmosphere, general teachers showed slightly higher average scores than special education teachers, found that there was a significant difference in the role expectation. Based on the results of this study, KSD can be considered to reflect the age, educational background, and roles of general teachers and special teachers, which can contribute to exploring teachers perception of teaching profession.
Compute Function Analysis Utilizing IAAS Private Cloud Computing Service Model in Packstack Development

Development of packstack for compute function analysis with IAAS service  Analysis of computational functions by utilizing the IAAS model for private cloud computing services in Packstack is one of the large-scale data storage solutions. Problems that often occur when implementing various applications are server resource requirements, monitoring processes that are less than optimal, offering that is limited in time when building servers, and when upgrading hardware devices will have an impact on server downtime that quite long. The development of private cloud computing technology can be one solution to the problem in question. This study utilizes Openstack and Packstack by applying a single node server controller with 2 compute server nodes. Administration server with IAAS service approach and self-service. The scalability testing is simple and more time-efficient. Change the size of the virtual server (instance) developed in a more optimal running condition for measuring overhead values in private cloud computing with a downtime of 16 seconds.
LBCC LibGuides: School of Career Technical Education: Finding Resources

This guide highlights the course- and discipline-specific guides for the offerings in the School of Career Technical Educations. In each guide you will find the methods for finding books and other resources curated by the LBCC Librarians.
Development features of the Russian higher education system in present-day conditions

Based on research material, the authors of the present article determine and critically comprehend the problems and specifics of the Russian higher education development in the current context. It is concluded that the global trends of digitalization, internationalization, commercialization, as well as the internal circumstances of the Russian reality (administrative pressure, economic decline, etc.), have significantly changed the Russian higher education system and caused difficulties in its development (narrow departmental nature of educational policy, shifting the focus on the qualitative content of fundamental education to the wayside, etc.). In order to solve the noted problems, it is proposed to use the theoretical and practical developments of the issues concerning the education content and form of the most prominent Russian researchers (N.A. Berdyaev, S.N. Bulgakov, M.O. Gershenzon, S.L. Frank, etc.), and to implement methods of a constructive combination of the classical university strategy and commercialization, focused on the interests of society and science.
Empirical Research on Customer Communication Challenges in the Companies Adopting Agile Practices

One of the most critical aspects of Software Development Process is the Requirements Engineering process and defining the correct and understandable requirements in Agile methodology.Hence, Requirements Engineering in agile directly effect the overall project success.This paper demonstrates a research study about the usage of Agile methods in the set of industrial companies located in Russia.The survey gives insights about different aspects of the method: communication challenges and issues arising during the Software Requirements Engineering phase in particular the challenges in the communication with the customers.To investigate these issues the paper presents an analysis of the state of the art done with the help of the research survey.The results of the interview sessions are summarized and the set of suggestions to overcome the challenges are proposed.30 representatives from 20 different companies who are mainly Product owners and Product Managers participated in the survey.As the results indicate, the communication is always a key challenge for the companies.The analysis of particular qualities of the communication field in the context of rapidly changing Software Development environment helped to define the outcomes related to the customer communication.
THE SOCIALIZATION OF THE LIBRARY AS AN EFFORT TO PROMOTE LIBRARY INFORMATION SERVICES IN SOCIO-COMMUNICATION'S PERSPECTIVE

The research intends to describe (1) the rationalization of socialization of the existence of libraries, (2) the socialization is empowered to promote libraries, (3) constraints of library socialization. The research is an objective of comprehensive analysis of details, related to the most important content, namely;rationalization of the socialization of the library's existence intersects with library promotion.The scope of the study is concentrated on the most important topics, namely the importance of library socialization to be empowered to promote library services. The implementation of analyzing requires critical thinking on phenomena, aims to apply conceptualization in historical developments in the past or is happening. Research uses a historical approach, characterized by realistic critical assessmentof the development of a thought. Information sources are primary as the most important element in the primary data base. The method of collecting data, using a research library by reading various kinds of literature on the topic of library socialization and promotion of the useful values ​​of the library, aims to synchronize and harmonize the flow of thought. Data analysis is descriptive qualitative, sourced from an analysis of various kinds of reading materials that are accurate, up to date theoretical, research and not research. The validity of research is realized by requiring efforts to empower content analysis, positive value and constructive analysis of various conceptual meanings in research. Observation is used as a basic element to support theory construction.The research results are; (1)Library socialization to promote library services is the most important marketing strategy, because as the most effective and efficient means of continuous reminding, of the urgency of libraries as centers of learning and information resources, literacy service providers and recreational media. (2) library services can be used optimally, so library socialization is needed to promote library information services. Implementation of promotionnot only using electronic media and print media, but also requires direct action by librarians, (3) library socialization constraints include internal constraints and external constraints.
A Study on the Factors Influencing College Students' English Writing Ability

With the continuous progress of teaching reform, the overall English proficiency and examination results of today's college students have improved significantly, but their English writing ability and writing performance have not improved as much as they should. English writing is the key content of the college English course, one of the important ways to test the English learning level of college students, and an important reflection of students' comprehensive English application ability. The author has found in many years of teaching that there are serious shortcomings in the current university English writing teaching.
Research on Evaluation Method of Image Blending Based Image Simulation

Object detection and tracking algorithms for specific targets are important technologies in the fields of autonomous driving and video surveillance. The verification of related algorithms and the training of data-driven machine learning methods often rely on high-quality and large-scale data support. Therefore, data simulation methods are usually used to supplement the quantity and richness of data. This paper proposes an image simulation performance evaluation method based on the Probably Approximately Correct (PAC) learnable theory: experience consistency loss, which is used to quantitatively evaluate simulated images. Compared with the traditional performance evaluation method based on expert score and Turing test, this evaluation method can objectively and quantitatively reflect the characteristic consistency between the simulated image and the real image. The experimental results show that the evaluation results of this method are consistent with the qualitative analysis results, which can directly reflect the performance improvement of the simulation image for the machine learning model.
Introdução à Verificação Automática de Protocolos de Segurança com Scyther

This book presents the texts of the short courses of the 18th Regional School of Computer Networks and Distributed Systems (ERRC 2020), held virtually on 25-27 November 2020. The short courses of ERRC aim to introduce emerging and relevant themes in the areas of Computer Networks, Distributed Systems and Information Security for professionals, graduate students, and undergraduate students.
A Platform for Exposure Therapy and Telemedicine, Using Mixed Reality Technology

Exposure therapy is the most effective treatment for specific phobias, social phobia, OCD, and PTSD. Even though exposure therapy is effective, only a third of the patients receive treatment because of lack of access to feared objects/situations in the clinic, lack of diversity of available objects, and very limited control over their behaviors. Treatment is also limited to the clinic office context, and not the real life experiences.
Reproducible and Efficient Benchmarks for Hyperparameter Optimization of Neural Machine Translation Systems

Hyperparameter selection is a crucial part of building neural machine translation (NMT) systems across both academia and industry. Fine-grained adjustments to a model's architecture or training recipe can mean the difference between a positive and negative research result or between a state-of-the-art and under-performing system. While recent literature has proposed methods for automatic hyperparameter optimization (HPO), there has been limited work on applying these methods to NMT, due in part to the high costs associated with experiments that train large numbers of model variants. To facilitate research in this space, we introduce a lookup-based approach that uses a library of pre-trained models for fast, low cost HPO experimentation. Our contributions include (1) the release of a large collection of trained NMT models covering a wide range of hyperparameters, (2) the proposal of targeted metrics for evaluating HPO methods on NMT, and (3) a reproducible benchmark of several HPO methods against our model library, including novel graph-based and multi-objective methods.
COVID-19 and the urge for digital environments transition in education: reflecting on the Portuguese experience

With the outbreak of COVID-19, governments worldwide, including in Europe, have taken different actions with regard to the impact in education due to the containment procedures. In Portugal, to help learners and educators to continue with their education and training activities during this period, several measures were put in action, mainly connected with the transition to distance education, at all levels of education. Teachers were pushed to move to online communication with pupils, and to deliver contents and activities using different online tools. But the major problem is that although Portugal has a good internet network, yet some families lack computers/digital devices. On the other hand, many teachers are not still at ease working in digital contexts, lacking necessary skills. To help teachers, Universidade Aberta (Open University, Portugal) has collaborated with the Ministry of Education in a special online training for teachers to develop competences in the creation, design and organization of digital networked environments. In this text, we focus and reflect on these efforts and initiatives, thus presenting some of the Portuguese experiences carried out to address the educational transformations caused by COVID-19.
Characteristics of Rural Community Workers Participating in Lifelong Learning - Focus on the Differences between Regions -

본 연구는 지역발전과 평생학습사회실현의 중추 인력을 농어촌지역 직장인에게 두고, 그들의 평생교육 참여특성 관련 변인들 사이에서 다른 규모의 지역과 유효한 차이를 확인하여 원인을 밝히고자 하였다. 이를 위해, 한국교육개발원 평생학습실태조사에 응한 직장인 4,197명에 대해, 농어촌지역을 기준값으로 하여 대도시 및 중소도시와의 차이를 분석하는 다항로짓분석을 수행하 였다. 그 결과, 평생교육에 참여하는 농어촌지역 직장인은 다른 규모 지역의 직장인과 비교했을 때, 개인위주 학습을 지향하고, 내적 참여 동기가 컸으며, 학습에 대한 비용지불의사가 높게 나타 났다. 하지만, 생활만족도가 높은데 비해 사회기여도가 낮았고, 학습에 의한 개인의 삶의 질 개선 효과도 낮게 나타났다. 아울러, 적은 비형식교육 참여율에 비해 직업관련 비형식교육 참여는 가장 높게 나타났다. 이들은 상대적으로 남성이 많았고, 연령과 학력이 낮지만 경제적으로 안정적 이었으며, 근무기간이 길면서 근로시간은 짧은 상근직이 많았다. 분석결과로 볼 때, 질적 네트워 크를 강화해 주고, 참여특성을 고려한 수요조사와 교수법 및 프로그램을 개발하여 보급하는 한편, 지역발전과 연계된 사회참여학습 기회와 유인책을 제공하여 만족감 및 성취감을 주어야 하고, 교육공급 주체의 역량을 단계적으로 개발하여 체계적으로 관리해야 할 것이다.Focusing on workers in rural communities as targets for securing core workforce for regional development and realization of society for lifelong learning, this study aims to investigate the significant differences in variables related to characteristics of these workers participation in lifelong learning between regions of different sizes, and elucidate its causes. For this purpose, a multinomial logit model was used for analysis of 4,197 workers from the KEDI data reported in the Survey of Lifelong Learning and the differences between metropolitan and small and medium sized cities. The results of data analysis showed that workers in rural community are more oriented to personal learning with a greater internal motivation for participation in lifelong education, and have higher intention of paying a higher price for learning compared to workers in cities. On the other hand, they showed a low effect of improvement in quality of life by learning while having low social contributions but high satisfaction with life. In addition, while participation in non-formal education was little, the participation in work-related non-formal education was the most common. In terms of personal backgrounds, workers consisted of more men than women, and were economically stable although they were young with a low level of education. Furthermore, many workers in rural communities have long service in full time positions while working for shorter hours. Future research direction should include the strengthening of qualitative networks, demand survey and development and application of teaching methods and programs considering the characteristics of participation, provision of satisfaction and achievement by offering opportunities and motivation for social participation learning in connection with regional development, and gradual development and systematic management of education supplier s competencies.
Ordered Multi-Category Logits Model Under Dirichlet Distribution

When the outcomes of multi-category are longitudinally observed or clustered within a subject they are correlated each other. The DMN (Dirichlet multinomial) distribution is more suitable to model these kinds of dataset rather than the multinomial distribution in overcoming the overdispersion. But until now we cannot find any available package that fits ordered DMN logits regression for ordinal outcomes. In this paper, we suggest an algorithm that can do the role of fitting ordered logits regression model for DMN ordinal outcomes. We implement the algorithm mainly focusing on the adjacent-category logits and also provide validation results through two practical data sets. The well-known vglm in R package VGAM plays a benchmark in comparing results. A small scale simulation design has been performed to show the goodness-of-fit of DMN logits model under partial parallel constraints on regression coefficients. The proposed ordered DMN logits model appears to have a good performance.
Freedom of Speech under Constitution of India

The Indian Constitution grants varied fundamental freedoms to the citizens of India. Right to freedom is one of the most fundamental freedoms enshrined in the Indian Constitution. The right to freedom ensures rights for people to lead a life with dignity. It is the existence of these freedoms that brings meaning to democracy. Freedom is a state under which individuals can speak, act and seek pleasure without undue external restrictions. Freedom is crucial because it results in enhanced forms of imagination and original thought, increased productivity and a high standard of life overall. The right to freedom often propagates an individual in social and political life. Articles 19, 20, 21A and 22 consist of provisions concerning the right to freedom. Six freedoms are granted to any citizen in the country, as provided in Article 19.
Annotated Corpus of Mesopotamian-Iraqi Dialect for Sentiment Analysis in Social Media

Research on Sentiment Analysis in social media by using Mesopotamian-Iraqi Dialect (MID) of Arabic language was rarely found, there is no reliable dataset developed in MID neither an annotated corpus for the sentiment analysis of social media in this dialect.Therefore, this gap was the main stumbling block for researchers of sentiment analysis in MID, for this reason, this paper introduced the development of an annotated corpus of Mesopotamian-Iraqi Dialect for sentiment analysis in social media and named it as (ACMID) stands for (the annotated corpus of Mesopotamian-Iraqi Dialect) to help researchers in future for using this corpus for their studies, to the best of our knowledge this is the first annotated corpus that both classify polarity as well as emotion classification in MID.Likewise, Facebook as the most popular social platform among Iraqis was used to extract the data from its popular Iraqi pages.5000 comments were extracted from these pages classified by its polarity (Positive, Negative, Neutral, Spam) by two Iraqi annotators, these annotators were simultaneously classifying the same comments according to Ekman seven universal emotions (Anger, Fear, Disgust, Happiness, Sadness, Surprise, Contempt) or no emotion.Cohen's kappa coefficient was then used to compare the two annotators' results to find the reliability of these results.The data shows a comparable value among the two annotators for the polarity classification as high as 0.82, while for the emotion classification the result was 0.65.
Classification Modelling of Random Forest to Identify the Important Factors in Improving the Quality of Education

National Education Standards (SNP) is the minimum criteria that must be met by the education units and/or educational organizations to realize high-quality national education. The evaluation is implemented through accreditation, and national evaluation of graduate competencies carried out through national examination (UN). Research on the causality relationship between SNP and the UN has been done, but research using classification modelling to explain the relationship between SNP and the UN has never been done. This study employed random forest for multi-class classification to examine important variables in improving the quality of education at the high school level (SMA/MA) based on computer-based national exam (UNBK) scores and accreditation results. The highest classification accuracy and G-Mean value were obtained in multi-class random forest modelling of 88.17% and 48.95% based on the evaluation model. This model generates important factors in the classifying the quality of education by the items of accreditation instruments. Important factors are items 69, 68, 62, 71, 67, 55, 56, 83, 45, 39, 36, 33, 64, 46, and 14. Based on the indicators of important factors, SNP has an important role in classifying the quality of education, which are standards of school facilities (SSP), standards of teacher and education staff (SPT), and standards of graduate competency (SKL). The study results advise region governments and education units to collaborate in improving SSP, SPT, and SKL.
Applied Geoscience Project

Abstract Summary Importance, economic impacts, result in part of the world and possible solutions on geoscience
Network Fault Classification Techniques Based on Transfer Learning

Aiming at the scarcity of fault samples in data network fault classification, this paper proposes a transfer learning method based on parameter sharing scheme. Using the network propagation characteristics of fault information of network elements, the known knowledge of source domain model is transferred to the target domain with a few samples by transferring the source domain model parameters to the target model for training, which improves the generalization ability of the model to the network topology, and solves the problems of scarcity of labeled samples and dynamic network topology. By comparing the classification performance of the transfer learning model under different network model and parameters, the network model was gradually tuned. The experiments show that the optimized model's fault classification accuracy rate reaches 99.4%.
Formation of the future teacher’s readiness to work with gifted children

The modern realities reflect the development trend of the leading education mainstream in the Russian Federation, the priority area of the state strategy - the formation of optimal conditions for effective education of a fundamentally new generation, prepared for active independent activity in developing scientific, strategic, and economic potential and increasing the status of a sovereign state both in the foreign and domestic policy of the country. Given the social needs of the population, the state order modernizes and forms new tasks, the paramount of which is the need to organize the educational process aimed at the successful formation and development of a citizen of Russian society, fully committed to finding and learning new things. A modern representative of a new society, undoubtedly, must have developed creative abilities, demonstrate pronounced talent in one or several spheres of activity, independently make important decisions, and realize the scope of responsibility and the need to choose consciously a path of personal development.