Reviewerly/exHarmony huggingface dataset:
Hybrid Multi-class Learning and Augmentation Techniques for Human Age Determination

Age identification plays a critical role in daily life. It has many applications, such as unmanned stores, monitoring, marketing, and autonomous vehicles. A challenge of age estimation is that people have little change in the face during the middle age. Therefore, in this work, we propose a sophisticated age estimation architecture that adopts many advanced techniques to improve the accuracy. In order to address the problem that the face changes slightly in middle age, we classify the age into 7 classes and apply different classification models for different classes. The proposed system is divided into three stages. The first stage is to perform augmentation, including feature map construction, face detection, and cropping. The second stage is to classify the inputs into seven classes of ages through a machine learning technique that is a combination of deep learning and the support vector machine (SVM). The third stage is to train seven Deep Neural Networks (DNN) models for the seven classes and then predict the age explicitly. The input for each DNN model contains the probability of each age group estimated by the previous stage. Simulations show that the proposed algorithm outperforms state-of-the-art methods and has accurate results in age estimation.
A Study on the Research Methodology and the Research Ethics in Publishing Science

이 연구에서는 출판학 연구자들이 주로 사용하는 연구방법론을 살펴보고, 그 과정에서 일어날 수 있는 연구윤리 위반의 유형을 살피고자 하였다. 분석 결과 출판학 연구자들은 문헌자료를 재분석하는 데 그치는 단순문헌연구 방법을 가장 많이 사용하고 있었다. 곧 문헌연구 및 자료 분석이나 설문조사에 의존하는 경향이 매우 강한 것을 알 수 있었다. 이 같은 연구방법론을 중심으로 연구윤리와의 상관성을 살펴본 결과 연구부정행위로서의 위조, 변조, 표절, 중복게재 등의 가능성이 모두 높은 것으로 나타났다. 특히 문헌연구의 경우 표절 및 부적절한 인용과 출처 표시의 미비, 양적 연구의 경우 위조 및 변조 등이 문제가 될 수 있으며, 연구 부적절행위로서의 중복게재의 위험성도 있는 것으로 나타났다. 따라서 다른 분야 연구자들과 마찬가지로 출판학 연구자 또한 ‘연구 진실성’ 확보를 위해 보다 적극적으로 연구윤리규정을 준수해야 함을 알 수 있었다.As a result of examining the research methodology used mainly by publishing science researchers, simple literature research methods, which were only used to re-analyze the literature, accounted for the largest portion. Soon publishing science research methodology literature is the nature of the research and data analysis and turned out to be a very strong tendency to rely on survey. Based on such research methodology, the correlation with research ethics is found to be highly likely to be forged, falsified, plagiarized or duplicated as research misconduct. In particular, it has been shown that plagiarism and improper quotations and lack of indication of sources in the case of literature studies, forgery and falsification in the case of quantitative research, and that there is a risk of duplicating publications as inappropriate behavior in the study. Therefore, as with other researchers in other fields, publishing science researchers could see that they had to comply with the research ethics regulations in order to secure research integrity .
Intelligent Operation Control System of Relay Protection Based on Big Data Technology

Due to the continuous expansion of power grid scale, the increasing operation life of equipment, and the continuous improvement of professional management requirements, all kinds of data of relay protection show the characteristics of variety and large quantity. Accordingly, the big data technology has been incorporated and applied in various fields of power system. Based on the power big data technology, this work first analyzed the feasibility of intelligent operation control system of relay protection, and then put forward the possible intelligent operation control system of relay protection, including the construction of all-dimensional data management platform of relay protection, the whole-dimensional management strategy of relay protection, and the management of maintenance event.
Captive balloon image object detection system using deep learning

The surveillance of large areas to ensure local security requires remote sensors with high temporal and spatial resolution. Captive balloons with infrared and visible sensors, like ALTAVE captive balloon system, can perform a long-term day–night surveillance and provide security of large areas by monitoring people and vehicles, but it is an exhaustive task for a human. In order to provide a more efficient and less arduous monitoring, a deep learning model was trained to detect people and vehicles in images from captive balloons infrared and visible sensors. Two databases containing about 700 images each, one for each sensor, were manually built. Two networks were fine-tuned from a pretrained faster region-based convolution neural network (R-CNN). The network reached accuracies of 87.1% for the infrared network and 86.1% for the visible one. Both networks were able to satisfactorily detect multiple objects in an image with a variety of angles, positions, types (for vehicles), scales, and even with some noise and overlap. Thus a faster R-CNN pretrained only in common RGB (red, green, and blue) images can be fine-tuned to work satisfactorily on visible remote sensing (RS) images and even on the infrared RS images.
Leading Change in Educational Institutions for Technology Adoption in Latin America

Information and Communication Technologies (ICT) have become increasingly relevant in most work environments and this tendency is expected to continue over time.Therefore, educational systems around the world have made efforts for the acquisition and use of technology.This study aims to identify representative ICT integration programs on education present in recent decades in Latin America, as part of the interpretation and adaptation of public policies to the context.Bibliographic techniques were used to analyze the trends that have been followed in the region in terms of educational management for the adoption of ICT.As a result, more than 70 articles from scientific journals, four databases and three government websites were analyzed.They evidence an awareness of the relevance of ICT for innovation, and the existence of strategic programs for the reduction of access and use gaps.However, it is also noted the existence a challenging context characterized by socioeconomic inequities.In general, the influence of public policy on the promotion of these programs is observed, as well as the need for a theoretical methodological support for the development of an integral management model, in which the technology component does not constitute a parallel item.Management of educational institutions is crucial to normalize experiences and provide references that can be integrated into environmental conditions.
Деякі питання засвоєння автентичної традиції співу у міському молодіжному фольклористичному колективі

The opinion on the issue of assimilating the authentic manner of singing and traditional musical material in the modern city secondary youth folklore group is presented. Issues such as: mastering the local performing tradition by artists - singers in the youth team, and related to this aspect of the problem of finding reference sound in the folklore tradition.
WITHDRAWN: Towards cost-efficient cloud resource management for large scale camera stream analysis

This article has been withdrawn at the request of the author(s) and/or editor. The Publisher apologizes for any inconvenience this may cause. The full Elsevier Policy on Article Withdrawal can be found at https://www.elsevier.com/about/our-business/policies/article-withdrawal.
PERPUSTAKAAN ANAK DI ERA DIGITAL

In this day and age is a modern era, in Indonesia, the children’s library has begun to emerge in order to introduce the library to children as early as possible, to provide stimulus to children so that when children are teenagers they will be accustomed to hearing the words of childbirth. the book itself is a source of knowledge. Apart from that, children in the modern era are always introduced and given several facilities, such as attractive interior design, interior arrangements that are suitable for children so that children are interested in visiting the library, and the appropriate composition of books and services for children is also different from those available in traditional libraries, this paper will discuss children’s libraries in the modern era in terms of interiors, services, and also interior settings. This writing is only a description of the existing children’s institutions in Indonesia. It is expected that the presence of the library can foster a sense of love for children, and introduce an interesting library (modern era) and eliminate the impression of a rigid (traditional) library. The approach in this study is a qualitative approach with the method of collecting data looking at the results of previous studies then analyzed. Keywords : Children’s library, digital era.
Handwriting Verification Using Point and Side Information for Chinese Words

In this manuscript, we proposed a verification algorithm for the Chinese word. We use a variety of different features including global features and local features. Considering that Chinese words often have a more complicated structure, we adopt global features, matched side feature, and matched point feature, which are features extracted from different magnitude levels. The three feature sets are able to describe a Chinese word in a more complete way. Support vector machine is used as a classifier. Experimental results show that the proposed algorithm reaches 95.85% accuracy in handwriting verification and outperforms other methods.
Валеология для библиотек

Valeology is a science that studies the internal reserves of the human organism and possibilities to increase them. At present, it is very dynamic time, when social and technological transformations are constantly happening, larger and larger digitalization “embraces” the activities of traditional cultures and institutions, a person has to respond to these challenges and adapt to these changes. Therefore, recommendations of this science are very important. The change rapidity, their ambiguity and the need to respond these challenges effect the human health including staff working in library and information institutions. In this regard, the relevance of considering issues of library valeology as the direction of library information activity is growing. The current subjects of library science is to study and prevent professional diseases of the librarians, as well as, educational activities of the library to promote healthy lifestyle. The article objective is to provide a brief description of risks of occupational diseases of library workers for to develop ways for the valeological support of professional activities based on the experience of the Municipal Budgetary Institution of Culture “Centralized Library System” in Nazarovo city, Krasnoyarsk Region. In the research process the concept of “library valeology” has been considered, the professional diseases of librarians have been identified, the program “Our Health!” to prevent the librarians health has been created. The presented experience in the practical implementation of library valeology may interest colleagues both in the library, and other spheres of culture.
АGILE-КОУЧИНГ КАК ВЫСОКОЭФФЕКТИВНЫЙ ИНСТРУМЕНТ УПРАВЛЕНИЯ ПРОЕКТНЫМИ КОМАНДАМИ В УСЛОВИЯХ НЕОПРЕДЕЛЕННОСТИ И МНОГОЗАДАЧНОСТИ

The article considers an Agile-coaching as a tool for managing project teams and organizing team interaction during the implementation of project activities. It is based on the methodology of adaptive project management under conditions of uncertainty and multitasking. The advantages of coaching for an organization and staff are presented. The possibilities of leadership in the style of coaching are considered. The requirements for the preparation of an Agile-coach are analyzed. The role of the Agile-couch is presented.
A consistent and uniform research earthquake catalog for the AlpArray region

&amp;lt;p&amp;gt;We take advantage of the new large seismic data set provided by the AlpArray Seismic Network (AASN) as part of the AlpArray research initiative (www.alparray.ethz.ch), to provide consistent and precise hypocenter locations and uniform magnitude calculations across the greater Alpine region. The AASN is composed of more than 650 broadband seismic stations, 300 of which are temporary. The uniform station coverage provides an unique occasion to study the laterally strongly variable seismicity that is presently monitored and reported by a dozen individual observatories. A homogeneous earthquake catalog in terms of location and magnitude is a prerequisite to improve our understanding of seismo-tectonics and the seismic hazard in the greater Alpine region.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Our catalog covers four years of seismicity with a targeted magnitude of completeness of 2.5 from 2016 to 2019 and results from scanning &amp;amp;#8764;1000 broadband stations (&amp;amp;#8764;60 TB of data). First, we detect and analyse events in the region using the STA/LTA based detector of the SeisComP3 monitoring system in off-line mode. Later, after an initial location has been obtained, we apply a high-quality semi-automated re-picking approach defining the consistent phase arrival times in combination with timing uncertainties and phase identification assessment. This automatic re-picking framework is implemented with the QUAKE library (Bagagli et al., 2019), an object-oriented Python package that exploit different waveform information both frequency- and energy- related by taking advantage of different well-established picking algorithms. The QUAKE picker has been tuned and tested against a consistent phases reference data set (P-, S- and secondary phases) of &amp;amp;#8764;2500 phases manually picked for 10 events (M&amp;amp;#8805; 2.5) homogeneously distributed in the region.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Subsequently, the high-quality automatic picks of selected well-locatable earthquakes are used to calculate a minimum 1D P-wave velocity model for the region with appropriate stations corrections. Finally, all events are relocated with the NonLinLoc algorithm in combination with the updated 1D model and a final estimate of the magnitude is given. We compare our locations and magnitudes with existing regional and local earthquake catalogs (ISC, EMSC, national catalogs) to assess and discuss the completeness and quality of the derived AlpArray research catalog.&amp;lt;/p&amp;gt;
Developing Students’ Communicative Writing Skills through Blogging

Blogs have gained popularity among language teachers as a tool to develop students' writing skills. However, using blogs in teaching writing has not been widely practised in Indonesia depite the positive effects on students' learning as reported in the literature. This paper examines the development of students' communicative writing skills through blogging. The data were collected from students' writing based on different themes posted in a class blog over a five-week period. Using Franker's ELT blog rubric as a framework for analysis, the findings were classified into four codes of communicative skills in writing: creativity, critical thinking, voice and comment. The findings indicate a general improvement on the students' communicative skills in writing based on these codes. Students also responded positively towards the use of blogging in developing their communicative skills in writing. Not only blogging helped to develop their minds critically and evaluatively, they were able to write their thoughts and respond to others' point of view freely without the presence of the instructor and fellow friends. Such findings indicate that with advance of technology in education, blogs can be an alternative medium for teaching writing in class, especially in this IR4.0 era.
Development and Implementation of Self-Directed Service Learning in Premedical Curricula for Education Consulting

The purpose of this study is to explore the educational outcomes and education consulting of a self-directed service learning program, the Good Work Project, for premedical students. The Good Work Project includes team activities as follows. First, all students build a team and develop a service learning subject for themselves. Second, they study a service learning subject for more than 10 hours during the summer vacation. Eventually, the participants share their experiences and achievements with each other. After the program, a surveywas conducted to assess the program and to identify and analyze student attitudes about and satisfaction with the program. Questionnaires consisting of 25 (5-point Likert-type) items were developed, including questions about service experiences and orientation, learning outcomes and learning experiences, teamactivity and teamwork, and acknowledgement of the overall process of the program.We grouped 74 students into 18 teams and identified a number of service learning themes. Students were generally satisfied with the Good Work Project overall (M=4.00). Particularly high awareness was shown for three items: the value of community service, service should be sustained, and community service is a great thing, and a wonderful way to create positive changewithin the society. The GoodWork Project helps enhance self-directed learning and reflection among students recognize by tasking them with designing service learning program for themselves. The service learning is an important teaching and learning tool in the area of themedical humanities.
1101P Near real-time intraoperative melanoma diagnosis using deep neural networks

Intraoperative diagnosis is essential for providing safe and effective care during staged melanoma resections. The existing workflow for intraoperative diagnosis based on H&E staining of processed tissue is time-, resource-, and labor-intensive. Moreover, interpretation of intraoperative histologic images is dependent on a pathology workforce that is contracting and unevenly distributed across the centers where melanoma excisions are performed worldwide. We developed an automated workflow that uses deep convolutional neural networks (CNN) to predict diagnosis at the bedside in near real time. Specifically, our CNN, trained retrospectively on over 10,000 H&E images that were collected prospectively across multiple institutions, predicts brain tumor diagnosis in the operating room in under 150 s, which is an order of magnitude faster than conventional techniques. Our trained CNN was compared to pathologist-confirmed diagnoses in a testing set of 204 patients. Primary endpoint was overall diagnostic accuracy. We show that CNN-based diagnosis of H&E images was noninferior to pathologist-based interpretation of histologic images (overall accuracy, 94.6% vs 95.5%). Additionally, our CNN learned a hierarchy of interpretable histologic feature representations to classify the major histopathologic classes of melanoma. We then developed and implemented a semantic segmentation method that can identify tumor infiltrated and diagnostic regions within the images. Mean intersection over union values was 61 ± 28.6 for ground truth diagnostic class and 86.0 ± 28.6 for tumor-infiltrated regions. We have demonstrated how the application of deep learning can result in near real-time intraoperative melanoma diagnosis. Our workflow provides a means of delivering expert-level intraoperative diagnosis where dermatopathology resources are scarce and improve diagnostic accuracy and efficiency in resource-rich centers.
Introducing Consistency in a Dialogical Framework for Paraconsistent Logic (online 2018)

The Logics of Formal Inconsistency are logics tolerant to some amount of inconsistency, but in which some versions of explosion still hold. The main result of this paper is a reconstruction of two such logics in the dialogical framework. By doing so, we achieve two things. On the one hand, we provide a formal approach to argumentative situations where some inconsistencies may occur while keeping the idea that there may still be situations in which some propositions are  safe  in the sense of immunity to the contradictions. On the other hand, we open a new line of study on these logics, in the context of the game-theoretical approach to semantics born in the 1960s, with various interesting perspectives, some of which are discussed at the end of this article.
Implementing argument and explanation schemes in dialogue

Conference paper presented at the Biennial International Conferences on Computational Models of Argument (COMMA), Perugia, Italy [Online], 8-11 September, 2020.
ТЕОРЕТИЧЕСКИЕ ОСНОВЫ ПОЗНАВАТЕЛЬНОЙ ДЕЯТЕЛЬНОСТИ И ИХ ПРАКТИЧЕСКОЕ ПРИМЕНЕНИЕ В СИСТЕМЕ ОБРАЗОВАНИЯ

Information is encoded, reproduced and transmitted by words and their combinations. The word allows you to summarize a multi-component object or event to a single word symbol. Only after conversion to the verbal equivalent the information can be stored by the memory mechanism. The cerebral cortexis a large associative memory device, which operates on the basis of conditioned and unconditioned reflexes and is associated with the function of subcortical formations. The form of receipt and the method of information processing determine the effective quality of memory, that is, the ability to store and effectively reproduce information for a long time. According to Hebb’s rule, the impact of learning  not only on the mental, but also on the motor part of the storage device activates signal learning cascades.
Organizational commitment in the commercial banks in Sri Lanka: A study of relationship between job satisfaction &amp; performance

The purpose of this study was to investigate the relationship among job satisfaction, organizational commitment and job performance of non -managerial employees in the commercial banks in Sri Lanka. The sample consisted of 400 non -managerial employees randomly selected from Systemically Important Banks. A questionnaire was administered among the non -managerial employees as the measuring instrument. The collected data were analyzed using correlation coefficient and simple regression. The results of the study indicated that there was a positive relationship between job satisfaction and job performance, job satisfaction and organizational commitment, organizational commitment and job performance.Organizational commitment was found to mediate the relationship between job satisfaction and job performance of non-managerial employees in the commercial banks in Sri Lanka.
Evaluating a Dependency Parser on DeReKo

We evaluate a graph-based dependency parser on DeReKo, a large corpus of contemporary German. The dependency parser is trained on the German dataset from the SPMRL 2014 Shared Task which contains text from the news domain, whereas DeReKo also covers other domains including fiction, science, and technology. To avoid the need for costly manual annotation of the corpus, we use the parser’s probability estimates for unlabeled and labeled attachment as main evaluation criterion. We show that these probability estimates are highly correlated with the actual attachment scores on a manually annotated test set. On this basis, we compare estimated parsing scores for the individual domains in DeReKo, and show that the scores decrease with increasing distance of a domain to the training corpus.
Civil Liberties in the Age of COVID-19

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