Reviewerly/exHarmony huggingface dataset:
Dynamic multi-object Gaussian process models: A framework for data-driven functional modelling of human joints

Statistical shape models (SSMs) are state-of-the-art medical image analysis tools for extracting and explaining features across a set of biological structures. However, a principled and robust way to combine shape and pose features has been illusive due to three main issues: 1) Non-homogeneity of the data (data with linear and non-linear natural variation across features), 2) non-optimal representation of the $3D$ motion (rigid transformation representations that are not proportional to the kinetic energy that move an object from one position to the other), and 3) artificial discretization of the models. In this paper, we propose a new framework for dynamic multi-object statistical modelling framework for the analysis of human joints in a continuous domain. Specifically, we propose to normalise shape and dynamic spatial features in the same linearized statistical space permitting the use of linear statistics; we adopt an optimal 3D motion representation for more accurate rigid transformation comparisons; and we provide a 3D shape and pose prediction protocol using a Markov chain Monte Carlo sampling-based fitting. The framework affords an efficient generative dynamic multi-object modelling platform for biological joints. We validate the framework using a controlled synthetic data. Finally, the framework is applied to an analysis of the human shoulder joint to compare its performance with standard SSM approaches in prediction of shape while adding the advantage of determining relative pose between bones in a complex. Excellent validity is observed and the shoulder joint shape-pose prediction results suggest that the novel framework may have utility for a range of medical image analysis applications. Furthermore, the framework is generic and can be extended to n$>$2 objects, making it suitable for clinical and diagnostic methods for the management of joint disorders.
THE APPLICATION OF HAAR WAVELET AND BACKPROPAGATION FOR DIABETIC RETINOPATHY CLASSIFICATION BASED ON EYE RETINA IMAGE

Diabetic Retinopathy is a disease that attacks eyes retina and can cause blindness. The severity of Diabetic Retinopathy consists of four; they are; normal, Diabetic Retinopathy Non-proliferative, Diabetic Retinopathy Proliferative, and Macular edema. In this research, author proposes a new strategy for Diabetic Retinopathy can be grouped by combining haar wavelet method and backpropagation. The number of data used were 612 images. The images size 2304x1536, 2240x1536 and 1440x960. The feature extraction of digital image used was haar wavelet at red image, green, and blue at level 1 and level 4 at subband LL and grouping with backpropagation with learning rate 0,1; 0,01 dan 0,001; the division percentage of training data and test data were 70:30, 80:20, 90:10 and 95:5, the value of MSE used was 10-6, epoch maximum 100.000 iteration. The results of this research is the highest test accuracy obtained is 56,25% with image size 2440x1448, haar level 4th and the percentage of comparative training data and test data 95:5, Learning rate 0,1;0,01 and 0,001. Thereby, haar wavelet algorithm cannot identify the feature of diabetic retinopathy and the decomposition process will eliminate much information from diabetic retinopathy
Awareness and Cooperation in Neural Network Ensemble Learning

It is important to create a set of cooperative learning modules in order to combine them into an ensemble learning machine. If a data point has already been learned by the ensemble learning system, some individual learners in the ensemble should know how to react by either stopping learning further on the learned data, or forgetting the learned data. Such awareness would be essential in keeping each individual learner to be a specialist and cooperative to other individual learners in the same ensemble learning system. In this paper, each individual learning machine gains awareness through adjusting learning directions and learning strength in learning each data by negative correlation learning with selection (NCLS). If the data had not been learned by the ensemble system, each individual learning module in the ensemble would adopt the common learning strategies in which the weight learning would lead the module's output to be close to the target output. However, if the data had been learned by the ensemble system, each individual learning module would tend to go to the opposite learning direction, or weaken the learning strength in order to learn to be different to the rest of the learning modules in the ensemble. Simulation results have been shown how such mixed learning strategies could build awareness among the individual learning modules in the ensemble.
Foreign Students’ Cognitive Interest And The Use Of Vitageneous Learning Technologies

The urgency of the study problem is caused by the need to recognize the value of vitageneous experience in professional pedagogical education of foreign students and its insufficient degree of development. This requires a search for ways to attract life experience as one of the sources of education. The aim of the study is the scientific basis and development of technological tools for vitageneous education in the cognitive interest development among foreign students. It was suggested that the systematic inclusion of vitageneous experience in the process of education stimulates the cognitive interest development among foreign students. The study conducted on the basis of Federal State Budgetary Educational Institution of Higher Education "Astrakhan State University" from 2014 to 2018 covered 704 foreign students. The level of the cognitive interest development, academic performance and the results of research activities were chosen as the performance criteria of the use of vitageneous experience. The methods of observation, polling, monitoring academic progress and analysis of students research papers were used. As a result, there is a positive trend in the results even among students with a low level of cognitive interest. The use of vitageneous learning technologies allows us to comprehensively influence the set of motivational trends among foreign students and stimulate their cognitive interest. The methodological materials contained in the study can be used in the system of advanced training of educators.
Magic: The Gathering in Common Lisp

Magic: The Gathering is the world's most popular trading card game. So far, attempts to program its 210-page rulebook in order to create an AI for the game have resulted in systems that are very complex, and still not able to compete with humans. I believe one of the main causes of this is the choice of programming language. Most implementations are done in languages which emphasize execution speed or portability rather than development speed or flexibility. Common Lisp was classically the lingua franca for AI research, and its following features mesh well with the challenges of programming Magic: a read-eval-print loop, macros, dynamic typing, scripting, multiple inheritance, and symbolic computation. In this project I present a proof of concept implementation consisting of a command line interface for two humans playing Magic with two hardcoded decks. I will discuss what I have learned from tackling the challenges of the project and how I would proceed if I had years to complete it.
Chapter 9: Mihai I. Spariosu Between Theory and Philosophy

No AccessChapter 9: Mihai I. Spariosu Between Theory and PhilosophyFlorin BerindeanuFlorin BerindeanuSearch for more papers by this authorhttps://doi.org/10.14220/9783737010931.157SectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack Citations ShareShare onFacebookTwitterLinkedInRedditEmail About Previous chapter Next chapter FiguresReferencesRelatedDetails Download book coverReflections on (In)Humanity.Volume 10 1. AuflageISBN: 978-3-8471-1093-4 eISBN: 978-3-7370-1093-1HistoryPublished online:January 2020 KeywordsWorld War IIComparative LiteratureInterdisciplinary StudiesMihai I. SpariosuEnglish StudiesRomance StudiesGerman studiesPhilosophyHumanitiesGlobalizationSelf-MappingDionysusNietzscheCybernetic ImaginationPDF download
StarVizAlgo: Visual Analytic Dot Mapping in Data Visualization

Big data are large or complex data sets that need to be extracted and analyzed using computers in order to determine the data patterns, trends, and relationship. It is commonly related to extract hidden knowledge behind these data sets. Data visualization can be used to portray data in graphical and dynamic manner to extract the hidden knowledge. Spatial visualization is one of the visualization to project data related to space. One of the foremost problem in the visualization is dot overlapping. Such situation distorts the true data distribution. Thus, the aim of this study is to design a new algorithm to manage dot mapping. The algorithm is to visualize non-resident student tabulation where overlapping dot are redistributed. The new algorithm called StarVizAlgo was introduced as an enhancement to visualize the plotting pattern clearly and efficiently. It provides a better understanding and easier for users to analyze data. Furthermore, StarVizAlgo able to avoid data overlapping by introducing 'star' visualization pattern. The contribution is to the research domain of non-residents students of UiTM Shah Alam, Malaysia. It was demonstration using the 2D webpage and the result indicated that the dot distribution mapping represents a better visual analytic and more significance information.
MYKOLA LEONTOVYCH’S PEDAGOGICAL LEGACY IN PODILLIA (LATE 19TH AND EARLY 20TH CENT.)

The aim of the article is to reveal the essence of pedagogical ideas of Mykola Leontovych, a composer and an educator, who defended the need for a closer connection of pedagogy and art, particularly in the field of professional training of future teachers in Podillia region of Ukraine during the late 19th into the early 20th centuries. The methodology of the study is based on the application of historical, chronological, cultural, and axiological approaches, which place the evolution of M.Leontovych’s views in a broad socio-cultural context. The creative scientific approaches of M.Leontovych regarding the necessity of mastering art in the system of vocational training of future teachers were emphasized; the basic principles of the interrelation of art and pedagogy in forming the personality of future teachers were substantiated.
Teachers` Professional Preparedness For Inclusive Practice In School Educational Process

Current educational practices show that there is a need for monitoring and assessing the level of teacher preparedness for inclusive education. There is also a demand for developing a new systematic approach to teacher education that would better prepare teachers for inclusive education. In this regard, this article is aimed to identify some features of this process. The authors also try to find out how to develop professional preparedness for inclusive education in primary school. The leading method in the study of this problem was the questionnaire method conducted among 20 primary school teachers, which made it possible to identify some features and ways of fashioning professional preparedness for inclusive education in primary school. The article theoretically substantiates the main components of primary school teachers’ professional preparedness to put into practice an inclusive approach. It systematizes the main problems of primary school teachers to realize this approach. Besides, the process of the professional preparedness development for an inclusive approach is presented. The materials introduced in the article can be used to supplement to the existing training and retraining system of primary school teachers. The proposed developing program can be used in higher education institutions or universities as an interactive method of forming the future teachers’ preparedness to work in the contexts of an inclusive approach, as well as in refresher courses for schoolteachers.
Cognitive Informatics (CI) and Cognitive Computing (CC): A steps towards Integrating Cyber Security & IoT

In this new era of Cyber there are a number of changes that we would like to highlight to the periodical’s readers, as we are self-assured such changes will plead to an extensive range of academic and information technology interests. First, our periodical is a debut edition that has been collectively designed by our leadership team that aims to represent the global network of our community from cyber society. We recognize the importance of ensuring that our initiatives in an academic format would represents the work and research being conducted in all regions of the world.
Riktlinjer för god användarupplevelse på livsstilsapplikationer : En analys av mobilapplikationerna Lifesum, FoodCheck och MyFitnessPal

The purpose of this bachelor thesis is to contribute to increased knowledge about how lifestyle applications should be formed to achieve good user experience. By analysing the content of three equi ...
Marine Accident Learning with Fuzzy Cognitive Maps (MALFCMs): A Case Study on Fishing Vessels

Despite advanced safety systems installed on ships, marine accidents still occurs at a more-or-less constant rate. This situation can be attributed to the fact that accidents occurred in a complex way and the role of humans into past accidents is not properly understood in this process. Furthermore, a number of factors are combined to result in a failure/accident but interrelations of these factors are not well understood. Therefore, shipping industry can benefit from a practical method, which is capable of considering the interrelations and identifying the importance weightings for each factor involved in an accident. Thus, in this paper, a new technique for Marine Accident Learning with Fuzzy Cognitive Maps (MALFCMs) is developed and demonstrated. The method utilises Fuzzy Cognitive Maps (FCMs) to model the relationships by also integrating information from an accident database. By applying accident data instead of expert judgement, MALFCMs may overcome the main disadvantage of FCMs by controlling the subjectivity in results attributed to expert opinion. Within this study, MALFCMs is applied to fishing vessels accident data, in order to compare the results with the findings of an existing report provided by the European Maritime Safety Agency (EMSA). In order to make this comparison, Collision and Fire/explosion accidents were selected and comparatively analysed in this paper. Our study shows that MALFCM can produce results, which are in line with the findings from aforementioned EMSA report.
Development and Research of an Adaptive Shaper of Features Based on Cyberneuron for a Robust Detector

In this paper, a shaper of features based on cyberneuron is considered that provides the possibility of adapting sets of elements in the reference and analyzed samples of a robust detector. The results of the shaper operation on real images are presented, and the possibility of selecting informative features on the image using the shaper is shown.
An accurate de-striping method based on cubic Hermite spline interpolation and gradient information of stripes

Stripe is a common degradation phenomenon in remote sensing images. The variation-based de-striping method, due to the defect of the model itself, always has an unnecessary influence on the stripe-free area while correcting the stripe, and cannot satisfy some requirements in high-precision quantitative applications or sensitive data processing of remote sensing images. This paper proposes a high-precision stripe correction method, which first detects the position of the stripes, and then uses the interpolation idea to correct the stripe to solve the fidelity problem of the stripe-free area in the de-striping process. We use the rational assumption that the derivative of the real signal in the stripe region (to be repaired) is consistent with the derivative of the observed signal, and then selects cubic Hermite spline interpolation method for de-striping, which can uses the derivative information of the region to be repaired (ie, the derivative information of the stripe region) to overcoming the difficulty of the existing interpolation de-stripe method not being able to work well when the stripes is too wide. The experimental results show that our method can effectively remove the stripes and maintain the stripe-free area intact.
A simple approach for Aspect-based Recommendation using reviews written in Spanish

This paper presents an approach to take advantage of reviews written in Spanish to generate Aspect-based Recommendations. Although diverse approaches have been proposed and evaluated for reviews written in English, there is a lack of proposals to accomplish this task using reviews in Spanish. The proposed approach uses Text Mining techniques and tools to extract item aspects and estimate user preferences for each of them. The estimated preferences then feed a Multi-Criteria Recommender System, considering each extracted aspect as a criterion regarding user preference. Preliminary results show that, using aspects extracted from reviews written in Spanish, it is possible to improve the quality of recommendations generated with a traditional algorithm. Due to the simplicity of the proposed approach, it can be easily used by local companies to incorporate Aspect-based Recommendations.
Commentary comparative study on commentary(懸吐) of Yulgok's annotation of the Four Books(栗谷四書諺解) and Kyojeongcheong's annotation of the Four Books(校正廳四書諺解)

본 논문은 經書 諺解書의 내용을 본격적으로 연구하기 위한 전단계로 栗谷四書諺解와 校正廳四書諺解의 현토를 비교하였다. 두 언해서의 현토에는 약간의 차이가 있었다. 율곡사서언해는 현토 표기의 규칙에 일관성이 다소 부족하며, 교정청사서언해는 전체적 일관성을 거의 보완하였다. 율곡사서언해의 현토는 經文의 구두 자리를 명확하게 표시해주는 장점이 있고, 교정청사서언해는 허사의 영향 범위를 가능한 한 명확하게 표시해주는 장점이 있다. 원문의 구조 분석과 의미 해석에 있어서도 약간의 차이들이 있었다. 두 언해 사이에는 미묘하지만 공자를 이해하는데 있어 자못 의미심장해 보이는 시각차가 있을 가능성이 탐지되었다. 공자를 이해하는 시각에 교정청사서언해가 조금 더 절대적이고 권위적인 모습을 보이고 있기 때문이다. 이 역시 두 언해서의 현토를 반드시 면밀하게 비교 검토해 보아야 할 필요성과 직결된 부분이다. 두 언해서의 현토 비교를 통해 현토는 원문의 문법과 문형을 분석한 값임을 알 수 있었고, 따라서 원문 정리에 현토의 성과를 반영할 필요가 있다고 제언하였다. 이를 통해 중국과 일본의 여러 표점들과 비교되면 각 나라의 원문 이해의 시각이 요연하게 드러나는 지점이 있으리라 전망한다.This paper compares Yulgok s annotation of the Four Books(栗谷四書諺解) and Kyojeongcheong s annotation of the Four Books of commentary(校正廳四書諺解) as a preliminary study to study the contents of the annotation of the Four Books in earnest. There are some differences in commentary in both documents. Yulgok s annotation of the Four Books is somewhat inconsistent with the conventions of commentary notation, and Kyojeongcheong s annotation of the Four Books is almost entirely consistent. commentary of Yulgok s annotation of the Four Books has the advantage of clearly displaying the punctuation of the sentence. And Kyojeongcheong s annotation of the Four Books of commentary has the advantage of indicating the extent of the effect of vanity as clearly as possible. There were also some differences in the structural analysis and interpretation of the text. The two documents showed subtle but significant differences. Kyojeongcheong s annotation of the Four Books is a little more absolute and authoritative in understanding Confucius. Commentary is a value analysis of the syntax and sentence form of the original text. Therefore, it is necessary to reflect the performance of commentary in the text. Comparing this with the various marks in China and Japan will give a clear view of the original texts of each country.
Level of student satisfaction on lecturer performance with fuzzy inference system (FIS) tsukamoto method

Abstract To improve the quality of students in higher education is inseparable from how the performance of lecturers in the teaching-learning process. The quality of lecturers greatly influences how the quality of graduates will be. Qualified lecturers can be seen from the lecturers’ performance in delivering learning material, assessment, discipline, behaviour and appearance. Lecturer performance evaluation can be assessed by students and assessors by study programs through questionnaires in which there are several aspects of assessment. The data processing of the questionnaire will use the Tsukamoto fuzzy method. The Mamdani method is often also known as the average method. In this method, there are 4 the stage for obtaining output, namely the formation of fuzzy sets, application function implications, rule composition and defuzzification. With the fuzzy mamdani method, information will be generated in the form of output of the success level of the teaching lecturer.
Estimasi Inflasi Di Kota Lhokseumawe Dengan Metode Box-Jenkins Menggunakan Model Autoregressive Integrated Moving Average (ARIMA)

Abstract— Inflation is an economic problem in each region. Its continuous development has become an obstacle to economic growth for the better. Changes in the inflation rate tend to occur in each region such as the City of Lhokseumawe which is an agricultural area. To overcome the instability of the inflation rate, one way that can be done is to predict time series data. The Box-Jenkins method with the Autoregressive Integrated Moving Average (ARIMA) model has the ability to capture the information needed about the inflation rate and is able to cope with the instability of the inflation rate. This is because ARIMA is a time series forecasting model suitable for predicting a number of variables quickly, simply, cheaply, and accurately and only requires variable data to be predicted. Keywords— Inflation, agricultural area, time series, ARIMA, forcasting
Ways To Enhance The Research Activities Of Univeristy Students

The modern education system deeply requires the ways and mechanisms to enhance the creative, research activity of students. Generational change has led to the fact that traditional approaches do not lead to an increase in productivity, and often, on the contrary, reduce them. There is a need to find new tools and methods to enhance the creative activity of students. In this regard, the author comes to an understanding of the need to use and innovative approaches and combining of existing methods.This goal is reflected in a number of strategic state documents: in the Federal target program for the development of education for 2016-2020, in the Concept of long-term socio-economic development of the Russian Federation for the period up to 2020. Also, the main task defined in the Concept of the Federal target program for the development of education for 2016-2020 is the implementation of measures for the development of scientific, educational and creative environment in educational institutions. The research work of students is analysed at the Elabuga Institute of Kazan Federal University, the analysis of their desire to acquire new knowledge is carried out. The level of scientific activity and involvement of students in science was not high enough. It was found that to intensify the research activities of students it is necessary to organize classes using audio-visual means.During the research different methods of analysis, synthesis and deduction were used. For the reliability of the results of the study, a sociological survey was conducted.