Reviewerly/exHarmony huggingface dataset:
Coniferous Trees Needles-Based Taxonomy Classification

This paper introduces multispectral rotationally in-variant textural features of the Markovian type applied for the effective coniferous tree needles categorization. Presented texture features are inferred from the descriptive multispectral spiral wide-sense Markov model. Unlike the alternative texture recognition methods based on various gray-scale discriminative textural descriptions, we take advantage of the needles texture representation, which is fully descriptive multispectral and rotationally invariant.The presented method achieves high accuracy for needles recognition. Thus it can be used for reliable coniferous tree taxon classification. Our classifier is tested on the open source needles database Aff, which contains 716 high-resolution images from 11 diverse coniferous tree species.
INITIATION OF DESIGN AND MANUFACTURE OF BATIK WASTE RECEPTACLES FOR THE SARIWARNI BATIK GROUP IN MADIUN REGENCY

Sariawarni Batik Group is one of the batik groups in Madiun Regency that is classified as successful in marketing their products. Sariwarni Batik Group is chaired by Mrs. Siti Suwarni and consists of 14 people who are housewives. Sariwarni Batik Group produces several types of batik,i.e. written batik, stamp, and ecoprint. Until now, Sariwarni batik group still uses synthetic dyes in its production. This study aims to create a waste disposal design that will be tailored to the needs of the Sariwarni batik group and adjusted for the cost and time available. As a result, the design of the wastewater collection tank in the Sariwarni Batik Group has been completed and can be used. With this tub, the Batik Sariwarni Group does not need to dispose of batik liquid waste into the yard of the house. In addition, the reservoir can separate and precipitate wax, oil and other particles.
Reasoning Method of Situation Information System Based on Multi-Agent Network

Based on the analysis of the function of situation information system, this paper introduces the concept of multiagent network, puts forward the reasoning method of situation information system based on multi-agent network, and uses genetic algorithm to verify the method. The simulation results show that this method can solve reasoning problems in situation information system accurately and quickly.
A Study on an Influence of Locomotion Within VR Contents on VR Sickness

Virtual Reality(VR) contents provides a user with unusual experience through high sense of immersion in limited area in reality. However, due to limits in real world, there are lots of elements in locomotion within virtual reality that should be considered. VR contents can cause VR sickness or give a user an unpleasant feeling depending on locomotion. The purpose of this study is to find out an influence of locomotion within VR(Virtual Reality) on VR sickness in order to make a contribution to relieving VR sickness.
2009 개정 및 2015 개정 교육과정에 따른 초등과학 식물의 구조와 기능 단원의 성취기준 및 탐구활동 비교 분석

The purpose of this study is to examine comparatively the achievement standards and inquiry activities of “the structure and function of plants” unit according to the 2009 revision and 2015 revision of elementary school science national curriculum. There were decreased the number of achievement standards and inquiry activities of unit “the structure and function of plants” in 2015 revised rather than 2009 revised science national curriculum. However, there was a little bit differences between learning contents of them. For inquiry activity types of “the structure and function of plants” presented in science textbooks, there were more diverse in the 2015 revised elemenatry school science textbooks than the 2009 revised elemenatry school science textbooks, and even more inquiry process skills in the 2015 revision of elementary school science textbooks were than in the 2009 revision. it was found out that learning contents should be harmonized in aspects of balancing learning objective domains and considering environment curricula. In order to achieve the goal of elementary school science education on the basis of science national curriculum in elementary school, the consistency between science textbooks and science national curriculum should be considered and that can be contribute to the development of future science national curriculum.
Evaluation and Study for Autonomous Learning Ability Based on Factor Analysis Method

Based on related theoretical frameworks and evaluation practices, the author formulates an evaluation questionnaire for autonomous learning ability, including self-orientation stage, application of learning strategies stage, self-monitoring stage, and self-evaluation stage. Then, through analyzing the principal components of questionnaire results, it constructs an evaluation model and scale for the autonomous learning ability of senior high school students which consists of four stages and nine factors. Data analysis shows that this scale features high reliability and validity. Therefore, this research provides useful references for the quantitative evaluation of senior high school students' autonomous learning ability.
Practice and Thinking of The Undergraduate Innovation and Entrepreneurship Training Program

The implementation of The Undergraduate Innovation and Entrepreneurship Training Program project provides a rare opportunity for college students to improve their entrepreneurial quality and ability. In order to meet the needs of modern water conservancy construction, the students majoring inwater conservancy should not only master the basic theoretical knowledge of the major, but also have the ability of innovation, cooperation and combining theory with practice. College of Water Resources and Hydropower actively carries out The Undergraduate Innovation and Entrepreneurship Training Program and adopts the practice mode of Guide-Guided, Everyone Practices, Focus on Process has achieved remarkable results and greatly enhanced the innovative consciousness and practical ability of college students.
Superpixel Exclusion-Inclusion Multiscale Approach for Explanations of Deep Learning

딥러닝이 보편화되면서 예측 결과를 설명하는 연구가 중요해졌다. 최근 슈퍼픽셀에 기반한 다중스케일 결합 기법이 제안되었 는데, 물체의 모양을 유지함으로써 시각적 공감이라는 장점을 제공한다. 이 기법은 예측 차이라는 원리에 기반을 두고 있으며, 슈퍼픽셀을 가리고 얻은 예측 결과와 원래 예측 결과의 차이를 보고 돌출맵을 구성한다. 본 논문은 슈퍼픽셀을 가리는 제외 연산뿐 아니라 슈퍼픽셀만 보여주는 포함 연산까지 사용하는 새로운 기법을 제안한다. 실험 결과 제안한 방법은 IoU에서 3.3% 의 성능 향상을 보인다.As deep learning became popular, the research that explained the prediction results became important. Recently, superpixel based multi-scale combining technique has been proposed, which provides the advantage of visual pleasing by maintaining the shape of the object. Based on the principle of prediction difference, this technique computes the saliency map by the difference between the predicted result excluding the superpixel and the original predicted result. In this paper, we propose a new technique that not only excludes super pixels but also includes super pixels. Experimental results show 3.3% improvement in IoU evaluation.
Ethnocultural Education In The Design Of An Educational Program 44.03.01 Psycho-Pedagogical Education

The relevance of the problem under study is determined by the need for formation of the future teachers’ ethnocultural competence as a condition for the transfer of ethnocultural content in the upbringing, development and teaching of preschool children in the region (Komi Republic). In this connection, this article is aimed at developing the effective organizational and pedagogical conditions for designing the ethnocultural content in the main professional educational program of higher education for preschool teachers training. The main method for studying this problem was the method of questioning and modeling, which allow considering the stated problem as a targeted systemically organized process of the formation of students’ ethnocultural competence in the process of mastering historical, ethnographic, psychological, pedagogical and methodological materials. The article describes the developed module with a major “Pedagogical Activity in the Ethnocultural Education of Preschool Children” of the main professional educational program of higher education. The peculiarity of the proposed module was the consideration of its content as the ethno-pedagogical component within the framework of historical and cultural traditions of the Komi people. The materials presented in the article make it possible to use the developed module content in order to form the ethnocultural competence of students as the basis for effective ethnocultural education for children of preschool age.
Comer-Line-Prediction based Water-tank Detection and Localization

Water tanks on the roof of buildings require regular labor-costing inspection, and object detection can be used to automate the task. Current detection frameworks have several drawbacks when they are applied: (1) The output horizontal rectangular boxes cannot provide arbitrary quadrilateral detection representations; (2) False positive results may easily appear when key-point based models are used. In this paper, we propose a novel detection framework: Corner-Line-Prediction, which generates tight quadrilateral detection results of the tank blocks. Our model is built on key point detection network to detect corner points precisely. And an original line predictor is integrated to recognize unique tank edges, such that numerous false positive detections can be suppressed. Experimental results show that our Corner-Line-Prediction (CLP) framework outperforms state- of-the-art detection algorithms in average-precision (AP) and produces better localization results, compared with mainstream general detection models.
GOROdsm: Local Wisdom Inspired socioDSM for Reconstructing Public Facility

Gotong royong (GORO) is an impressive cultural spirit of Indonesia. It means practically “working together” without considering their dissimilarities and disparities to solve a problem. Specifically in public facility construction, at some time the citizen have to work together to do so with their own capital and resources through donation activity. It occurs century by century. Based on that unique phenomenon, this paper proposes a decision support model (DSM) that fundamentally created based on the GORO spirit to reconstruct the damage. The model is able to suggest the most objective damaged public facility that should be rehabilitated first. The method fuzzy logic is the main method operated in this work. The object-oriented method was used to design and develop a model. The simulated-annealing was functioned as an optimization method to optimize a selected decision. Finally, the model was tested by using experimental data to see its running.
Analysis on Hotspots of International Scientific Data Management and Sharing Based on Informetrics Atlas

This research aims to track hotspots of international scientific data management and sharing. The method of informetric analysis is applied in this paper. CitespaceV, an information visualization software, is utilized to quantitatively analyze the relevant subject literature. By analyzing knowledge atlas and studying key articles, the research draws the following result: current research hotspots include theory-oriented research based on open science, service-oriented practice of university libraries, application-oriented expansion of emerging areas, integrated discipline research methods and technology-oriented research.
THE EDUCATIONAL RESEARCH ACTIVITY OF A PUPIL: THE STRUCTURAL MODEL AND THE FORMULATION OF THE CONCEPT

The article investigates the lack of a generally accepted term for the concept of “educational research activity”, in particular, in the documents of the GEF NGO. It is suggested that formulating a structural model of the abstract concept of “educational research activity” will help to specify the appropriate term in order to provide the necessary guidelines for all participants of the educational process. In this study, 32 definitions of “educational research activity” belonging to 19 authors and 12 definitions of “scientific research activity” given by nine authors were analyzed. All definitions were divided into structure-related and content-related. To identify the features of the educational research activity as a specific activity, a projection of the General model was built. For this purpose, the structural elements of the activity model, as a generic concept, necessary for this study were identified. Such elements included: aim, object, subject, conditions, means and result. The article deliberately does not consider the content or composition of the actions that make up the activity, as this issue has been extensively covered in other pedagogical publications. Features of similarity and difference of the concepts of educational and scientific research activity were investigated. The composition of the subjects of the activity is considered to be substantially different. The phenomenon of the presence of two subjects in educational research activity forms the basis of the proposed model. This phenomenon determines the duality of goals and results of the studied activity. An important element of similarity between scientific and educational research is the same means of activity - the scientific method. Knowledge of the facts of similarity and difference facilitates the specification of tasks and the role of participants in the educational process. Built on the basis of the General model, the structural model of educational research activity contributed to the clarification of the structure-related definition of the concept.
Study Of The Pedagogical Magistracy Students’ Prognostic Abiility

The education system of Russia is undergoing fundamental changes due to the constant political and socio-economic changes. It is not enough for the teacher to own a significant amount of information and be able to adapt it to educational practice. Teachers need to be mobile in the educational space, predict possible changes and organize the learning process based on scientific forecasts. The relevance of studying the pedagogical master program student’s prognostic competence is determined by the need of training teachers who are able to work in the constantly changing conditions of the educational space. The aim of the work is to study the prognostic ability level of pedagogical magistracy students. A methodology of studying a prognostic ability developed by L. A. Regush was applied to achieve this goal. The “Prognostic ability” methodology is a model of the prognostic competence structure. It includes such qualities as analyticity, depth, perspectivity and evidence. The methodology implementation assumes to get the respondents’ answers based on observations of typical features of their predictive activities. Two main directions of studying the prognostic competence phenomenon were identified during research. The first direction reveals the forecasting training as part of professional development. The second direction considers pedagogical forecasting teaching as a subject. Theoretical and practical results of the study can be implemented in higher educational institutions. The obtained data can be used not only by universities, but also by secondary educational institutions (colleges) that train teachers.
A Practical Implementation of Deep Learning Method for Supporting the Classification of Breast Lesions in Ultrasound Images

In this research, a practical deep learning framework to differentiate the lesions and nodules in breast acquired with ultrasound imaging has been proposed. 7408 ultrasound breast images of 5151 patient cases were collected. All cases were biopsy proven and lesions were semi-automatically segmented. To compensate for the shift caused in the segmentation, the boundaries of each lesion were drawn using Fully Convolutional Networks(FCN) segmentation method based on the radiologist’s specified point. The data set consists of 4254 benign and 3154 malignant lesions. In 7408 ultrasound breast images, the number of training images is 6579, and the number of test images is 829. The margin between the boundary of each lesion and the boundary of the image itself varied for training image augmentation. The training images were augmented by varying the margin between the boundary of each lesion and the boundary of the image itself. The images were processed through histogram equalization, image cropping, and margin augmentation. The networks trained on the data with augmentation and the data without augmentation all had AUC over 0.95. The network exhibited about 90% accuracy, 0.86 sensitivity and 0.95 specificity. Although the proposed framework still requires to point to the location of the target ROI with the help of radiologists, the result of the suggested framework showed promising results. It supports human radiologist to give successful performance and helps to create a fluent diagnostic workflow that meets the fundamental purpose of CADx.
The Development Of Pedagogical University Students` Empathy By Means Of Psychological Training

In this article we present the analysis of the phenomenon of empathy. Being one of the most important qualities of teacher, empathy needs psychological and pedagogical support for the empathy development among students of pedagogical specialties. We consider training to be one of the most effective technologies of empathy development. We describe the results of the empirical study. 98 participants (44 students of pedagogical specialties and 54 students of non-pedagogical specialties) were assessed on a number of measures. 44 students of pedagogical specialties were divided into experimental and control groups. The experimental group participated in the work on the development of empathy through psychological training. The statistical analysis of the data including the Student’s t-test helped to obtain the effects of described technologies. The results provided in our paper will be interesting to the pedagogical community, as well as to psychology researchers or persons interested in empathy and communication studies.
Ultrasound Image Filtering Using Partial Differential Equations

The speckle reducing anisotropic diffusion (SRAD) filter is extensively used to process the ultrasound image. However, in the image processed by SRAD filter, there could be slab effects, blurred weak boundaries, and lost details in the homogeneous region, and the iterative process cannot be terminated adaptively. To solve these problems, an improved diffusion coefficient is proposed, and the adaptive iterative termination condition is added. The result of the experiments shows that the optimization algorithm can efficiently eliminate the plate effect in the homogenous region and has a better visual effect than the traditional SRAD. And according to the criteria for quantifying algorithm performance, the optimization algorithm could not only well remove the speckle but also is more suitable for image segmentation than SRAD.
The collection and analysis of the data on job advertisements with the use of big data

The goal of this paper is to present, on the one hand, the benefits for offi-cial statistics (labour market) resulting from the use of web scraping methods to gather data on job advertisements from websites belonging to big data compilations, and on the other, the challenges connected to this process. The paper introduces the results of experimental research where web-scraping and text-mining methods were adopted. The analysis was based on the data from 2017–2018 obtained from the most popular job-searching websites, which was then collated with Statistics Poland’s data obtained from Z-05 forms. The above-mentioned analysis demonstrated that web-scraping methods canbe adopted by public statistics services to obtain statistical data from alternative sourcescomplementing the already-existing databases, providing the findings of such researchremain coherent with the results of the already-existing studies.
Role Of Aesthetic And Artistic Culture In Structure Of Teacher`S World Outlook

The problem of formation of world outlook of the teacher is considered as a problem of finding technologies for this process. However, as our research showed, in modern pedagogical science there is no single reasonable understanding what the outlook of the future’s teacher is. In this article the problem of the future teacher’s world outlook components is determined. The role of artistic and aesthetic culture in structure of outlook of the teacher is revealed. The leading approach to solving the problem is the learner-centered approach. The main research method is a comparative analysis of pedagogical phenomena in a historical context and pedagogical design. As a result, the components of the teachers artistic and aesthetic culture were revealed, their role in the structure of the world outlook was shown, technologies of the formation of artistic and aesthetic culture were developed on the basis of the school of theatrical art. This article can be useful to teachers of higher education institution in training of future teachers, in the conditions of a bachelor degree, a master’s degree and additional professional education.
TAXATION OF NEW TECHNOLOGIES: THE CASE OF CRYPTOCOINS

The present work aims to demonstrate the origin and formation of cryptocurrencies, by understanding the material nature of this technology in detail, it will be possible to categorize it into an appropriate tax incidence factor, since only by comprehending the object of taxation, in its essence, will be possible to classify it with lower risks of incurring in error, applying the most appropriate tax to the specific case. Consequently, the cryptocurrency and its possible classifications in the juridical order will be presented, in order to understand it as a good or as a market asset, that is, a currency itself. This classification is fundamental so that it would be possible to determine how the tax incidence will be given on the virtual currency and, of course, to allow the application of the tax matrix rule to it. Furthermore, in this research it will be worked, in a first moment, the existential constitution of cryptocurrency, as well as it will be given a tributary explanation on the factors of incidence that can be applied to this technology, seeking to understand the essence both in the broad legal scope and in taxation itself. In this way, it will be necessary to analyze the virtual currency in a similar way to other assets that have close operations, as well as verify the international understanding about the subject, since this technology is definitely an international asset.
USM Sharpening Detection Based on Grey-Level Dependence Matrix and Cumulative Sum of Histogram on Difference Image

Unsharp mask (USM) technique is a popular sharpening operation for image embellishment, in order to detect the sharpening manipulation, an improved detection scheme for image sharpening based on generalized difference image (GDI) is provided. In the suggested scheme, the grey-level dependence matrix and cumulative sum of histogram of GDI on DCT coefficients on luminance component are firstly calculated, then, they are combined to constitute the image features for detection of sharpened images. Classifier LIBSVM is used for differentiating the sharpened and authentic image. A series of experiments on various dataset datasets with different formats of image demonstrate that proposed scheme has better performance compared with some prior arts.