Reviewerly/exHarmony huggingface dataset:
Sparse-Temporal Segment Network for Action Recognition

The most typical methods of human action recognition in videos rely on features extracted by deep neural network. Inspired by the temporal segment network, the sparse-temporal segment network to recognize human actions is proposed. Considering the sparse features contains the information of moving objects in videos, for example marginal information which is helpful to capture the target region and reduce the interference from similar actions, the robust principal component analysis algorithm was used to extract sparse features coping with background motion, illumination changes, noise and poor image quality. Based on different characteristics of three modal data, three parallel networks including RGB frame-network, optical flow-network and sparse feature-network were constructed and then fused through diverse ways. Comparative evaluations on the UCF101 demonstrate that three modal data contain the complementary features. Extensive experiments in subjective and objective show that temporal-sparse segment network can reach the accuracy of 94.2%, which is significantly better than several state-of-the-art algorithms.
Improved Digital Signatures Based on Elliptic Curve Endomorphism Rings

In AsiaCrypt 2017, Galbraith-Petit-Silva proposed a digital signature scheme based on the problem of computing the endomorphism ring of a supersingular elliptic curve. This problem is more standard than that of the De Feo-Jao-Plût SIDH scheme, since it lacks the auxiliary points which lead to the adaptive active attack of Galbraith-Petit-Shani-Ti. The GPS signature scheme applies the Fiat-Shamir or Unruh transformation to the raw identification protocol obtained from the endomorphism ring problem, and makes use of the Kohel-Lauter-Petit-Tignol quaternion isogeny path algorithm to find a new ideal. However, the GPS signature scheme is not very practical. In this paper, we take a first step towards quantifying the efficiency of the GPS signature scheme. We propose some improvements in the underlying algorithms for the GPS scheme, along with a new method which trades off key size for signature size to decrease the signature size from around 11 kB to 1 kB at the 128-bit security level by using multi-bit challenges. We also provide a concrete implementation of the GPS signature scheme using Sage and CoCalc.
MOOCs as environments for learning spoken academic vocabulary

Massive Open Online Courses (MOOCs) are easily accessible for anyone in the world to study any given subject, often for free. However, there is some question as to whether they are comparable to their real-world counterparts. The Academic Spoken Word List (ASWL) created by Dang, Coxhead, and Webb (2017) was designed to create a word list that is more representative of spoken academic English. To contrast the real-world academic context to MOOCs, we created a MOOC academic corpus and compared it with the Michigan Corpus of Academic Spoken English (MICASE). Last, we used both to test the effectiveness of the ASWL. Overall, we found that the ASWL had similar coverage in both the MOOC and MICASE corpora but interestingly saw slightly more coverage in the MICASE dialogic sections. We believe future research should address the slight discrepancy between dialogic and non-dialogic academic situations.
3Q: A 3-Layer Semantic Analysis Model for Question Suite Reduction

Question generation and question answering are attracting more and more attention recently. Existing question generation systems produce questions based on the given text. However, there is still a vast gap between these generated questions and their practical usage, which acquires more modification from human beings. In order to alleviate this dilemma, we consider reducing the volume of the question set/suite and extracting a lightweight subset while conserving as many features as possible from the original set. In this paper, we first propose a three-layer semantic analysis model, which ensembles traditional language analysis tools to perform the reduction. Then, a bunch of metrics over semantic contribution is carefully designed to balance distinct features. Finally, we introduce the concept of Grade Level and Information Entropy to evaluate our model from a multi-dimensional manner. We conduct an extensive set of experiments to test our model for question suite reduction. The results demonstrate that it can retain as much diversity as possible compared to the original large set.
Aspects of statistical quality control of products: choice of criteria for uniformity of dispersions

Abstract Analysis and data processing methods allowing to identify nature of the obtained data and their interrelation quickly and accurately are widely demanded now. To identify the relationship between input and output variables, a researcher faces regression analysis tasks, in particular, the estimation of unknown parameters of regression models. In this case application of classical methods is limited by a number of assumptions, in particular, distribution heterogeneity on the measurement region. Using of various stable, nonparametric and adaptive estimation methods in the presence of heterogeneity in the random errors distribution has not been sufficiently studied on the measurement region, therefore the isolation of homogeneous sub-regions in the general heterogeneity measurement region could help to solve the problem of parameter estimation. The criteria for testing homogeneity hypotheses are very often used in various applications of the problems of statistical analysis. In this case we can talk about testing distribution homogeneity hypotheses corresponding to the samples being analyzed or about mean homogeneity or about variances homogeneity. The aim of the study is to investigate the power of parametric and nonparametric criteria under various competing hypotheses.
Individualization of Training Using the Resources of International Digital Platforms

The article is devoted to the definition of psychological and pedagogical conditions and design methods of formation of a creatively thinking specialist using international digital platforms. The following universal abilities making up a specialist's competitiveness are defined: creativity, digital literacy, and psychological stability. The importance of tolerance for international innovation is shown. The state and directions of development of education digitalization are analyzed. Psychological and pedagogical conditions are revealed, and provisions of the concept of training individualization are defined. A set of measures are considered to facilitate the passage of students personal educational trajectory. The experience of organizing individual creative development in the digital space of the Union state is described. The introduction of the developed theoretical and methodological conceptual provisions of training individualization will provide conditions for improving the quality of vocational education and training for the implementation of innovative programs in the framework of international cooperation.
The Teaching and Learning of English at Laboratory Primary School of Universitas Neger Malang

SUMMARY Ahmed Djoumoi Ibrahim 2019. THE TEACHING AND LEARNING OF ENGLISH AT LABORATORY PRIMARY SCHOOL OF UNIVERSITAS NEGERI MALANG. Thesis, English Department, Faculty of Letters, State University of Malang.Advisors: Dr. Sri Rachmajanti, Dip, M.Pd and Prof.Mohammad, Adnan Latief. MA, PhD KeyWords: Teaching of English, International Class Program (ICP), young learners. Teaching and learning of English it become a good topic to discuss since since English is becoming interesting for young learners. In Indonesia English is a taught in the primary school as a local content subject. According to the decree of the Minister of Education No.20/2003 stated that the government should the Education level at least one in one standards in to the nation school which become in international standards, SD Lab UM. The research was intended to investigate the teaching and learning of English for the 3rd grade of ICP Class at SD Lab UM. The research was expected to give beneficial contribution for English teacher and the principal of the school with another English teacher who are interesting for teaching English language for young learners. . The methods used in the teaching and learning of English language of the 3rd grade students at SD Lab UM are, first, inquiry based learning where learning activities are likely based on the question and answer asked by the teacher. Secondly, a cooperative learning strategy has been applied also during the grammar and conjugation class. This methods is used to maintain the dynamism and interaction between students during the classroom activities. A program called habit is applied by the teacher to help students exploring more new English words. The school facilities such as media of teaching and learning tools are following the norms of international standards. In addition, having a well-qualified English language teachers is the second factor of SD Lab UM’s success. Most of the English teachers are alumni of the state university of Malang itself, they were thought and prepared to be a teacher. So, it is easy for them to progress and succeed in the teaching field.
Readiness formation of future lecturers of institution of higher education for professional self-realization

In the article different approaches to the definition of the essence of the concepts of «self-realization», «professional self-realization» have been considered. The factors influencing the process of lecturers’ selfactualization, pedagogical conditions of self-actualization of the lecturer’s personality have been singled out. In view of the concepts and approaches analyzed, in our study self-realization is understood as a specially organized activity by the subject, the purpose of which is the realization of their own purpose, as well as the result of this activity, is closely connected with self-development and self-affirmation of the individual. Under professional selfrealization, we mean the socialized way of harmonious development of the individual, combined with the acquisition of professional and practical experience in the process of obtaining a qualification by a future specialist during the period of initial professional formation (studying at a higher school) and improving professional growth in the process of fulfilling professional roles and responsibilities, which is an inalienable attribute of the disclosure and implementation of personal and professional potential. In the article, the professional self-realization of the future lecturer of a higher educational institution has been disclosed as a pedagogical problem, the essence of which is the constant self-improvement and self-development of their own potential. It has been determined that the formation of readiness, the nature of the process of professional self-actualization and its outcome depend on both internal and external conditions. External conditions have a certain impact on the internal, thus changing the level of readiness of the student to professional self-realization. Significant influence on the formation of readiness for self-realization in the professional sphere has a set of pedagogical conditions provided in the process of professional training: actualization of students’ subjective experience and its inclusion in the content of professional training, ensuring communication between the subjects of the educational process on the basis of dialogical interaction, the formation of value guidelines of future lecturers for professional self-realization. It has been established that the effectiveness of the self-realization process is related to the success of a master student’s pedagogical activity in the process of assistant practice and positive future professional benchmarks, which reveals possible career prospects.
Ecocriticism and the Anthropocene in the Water Soundscape Composition Contest

Several art forms have emerged since the 1960s with the expressed aim of developing a critical relationship with the natural environment. Among these is soundscape composition, born in the wake of environmental awareness in the West. This chapter examines pieces submitted to the Water Soundscape Composition Contest (2012). Several were recorded in the Nordic region, emphasizing the genre-specific element of personally made field recordings used in the works. This chapter explores the kinds of interpretative frameworks given in the descriptions of the compositions, and asks how the ecocritical relationship between listener and environment is sonically constructed.
Information architecture for the implementation of a technological platform that manages research production in higher education institutions

Abstract Scientific communication and diffusion is one of the challenges of higher education institutions, related to the implementation of strategies of free access to the scientific and technological productivity of the teachers and researchers of the institutions, which allow to increase the visibility and impact of the research, for which a model of information architecture of the technological platform for the management of the investigative production of teachers and researchers was designed, under an environment focused on satisfying the information needs of the users that allows to organize, to group and to visualize the information by means of metadata. The research is of exploratory-descriptive type, through which the products of science, technology and innovation that should be visible in the technological platform were identified, generating as a result an architecture model-view-controller, with data storage in a relational database, which has access through a RESTful API made in Java, the views and controllers were made in HyperText markup language and JavaServer pages respectively. MySQL was used as a relational database engine to store information and MYSQL Workbench as a platform for the construction of the relationship model between entities, tables and columns; which will be used as a framework for the design, planning and implementation of the technological platform.
Future teachers’ professional training for developing students’ spiritual and moral values

The article addresses the problem of preparing future Bachelors of Pedagogy for professional activities regarding spiritual and moral education and students’ development at all levels of general education. The author emphasizes that preparing future teachers to work on the spiritual and moral education and students’ development is a relevant pedagogical task. It’s a strategic goal at the level of KhMAO – Yugra in particular and the entire Russian state as a whole. It substantiates the need of students’ training for work aimed at their ability to analyze theoretical approaches in defining the concepts of basic national values. To solve this problem, the author offers a training course aimed at developing students' competences such as: the ability to design and organize individual and group work for the purposes of spiritual and moral education and students’ development; the ability to use diagnostic and prognostic activities in the field of spiritual and moral education and students’ development; possession of monitoring tools in the field of spiritual and moral education and students’ development. The article provides curriculum content of the course "Psychological and pedagogical foundations of the educational program ‘Roots", which describes the main concept provisions of the spiritual and moral education of Russian students. The program ‘Roots’ is a part of the sociocultural educational program ‘Social and cultural roots’ that represents the author's methodological tools, focused on individual and group work on the development of the training course. According to the author, when studying the course "Psychological and pedagogical foundations of the educational program ‘Roots’ students will form professional competences aimed at solving spiritual and moral students’ development problems in educational and extracurricular activities with the use of active teaching methods
Gradient Boosting Based Prediction Method for Patient Death in Hospital Treatment

Patient death in hospital is a concerned topic that is vital for both patients and hospital. The prediction of patient death in hospital is a classification process with extreme label imbalance problem which seriously affects the prediction effect of general classification model. In this paper, we use an ensemble learning method to predict patient death, the coordination of base classifiers in ensemble model can alleviate this imbalance. Patient measurement data, disease data and treatment data are used as inputs of the model, and whether the patient is died in hospital is estimated. From several comparison experiments, we evaluated several machine learning methods for patient mortality, Gradient Boosting based ensemble method outperforms other methods in AUC and other evaluation criteria, the highest AUC achieved by Gradient Boosting Classifier is 0.846. Finally, we proposed several future work based on our research.
Fuzzy Controlled Robot Platform Tracking System

The paper aims to introduce a fuzzy controlled tracking method using video structure analysis in MATLAB. The method uses a single overhead camera to record the trajectory and the distance traveled by the object under the test. The input is the video/image data, which is obtained by the camera and interfaced to the computer. The structure analysis decomposes the video into X-Y coordinate system divided into nine frames which includes information about their colors, positions, shapes, and movements. As the object moves vertically and horizontally, a control signal is generated. The generated signal is passed to the controller via RS232. The method uses MATLAB software for image processing. The computer software enables to detect and track the object by moving the camera in the direction of the detected object. The object detection is based on the color or shape. The computer software employed performed four main functions: (1) image correction, (2) localization through the identification process, (3) user-defined “terminal points”, and (4) user-conducted conversion (converts pixel values to match the real-world distances). The precision and accuracy analysis of the method provided. A real-world application test produced accurate results.
Assessment of Success Measures and Challenges of the Agile Project Management

Since every project is unique, there is no ideal project management system suitable for each type of projects. However, during the existence of the project management, many effective approaches, methods and standards have been created. One of these methodologies is the agile one, which was originally created for software development. That is why this methodology is most often used in the IT industry. However, this does not prevent the usage of the agile method (hereinafter Afile) by many non-technical teams. Non-IT companies quickly discovered the benefits of using flexible thinking and some Agile practices that can help businesses achieve better performance. The most important advantage of Agile is its flexibility and adaptability. It can be adapted to almost any conditions and processes of the organization. That is what determines its current popularity and explains why so many systems for different areas have been created on its basis. At the same time, the results of transformation do not always coincide with the expectations. This paper sets out the success measures with the Agile projects. The challenges that companies most often encounter are evaluated and the dependence of the trend in the popularity of Agile techniques on the success of the methodology implementation is studied based on the large-scale surveys of Agile at companies in Russia and worldwide.
Cognitive Interest As an Incentive and Condition for the Effective Formation of Organizational and Practical Skills of Students (on the Example of the Study of Mathematics)

The article analyzes the problem issues of the formation of cognitive interest in the process of teaching mathematics. Various motives of cognitive interest as a cognitive activity are considered. The signifi cance of organizational and practical training in the formation of methods for comprehending the conceptual and categorical apparatus of mathematical science is revealed. It reveals approaches to raising interest in mathematics, its methods and organizational capabilities by solving problems with cognitive organizational functions.
Instrumentos de innovación docente en la enseñanza-aprendizaje del Derecho Romano

espanolA traves de la realizacion de dos proyectos de innovacion docente de la Universidad de Oviedo, se ha tratado de poner de manifiesto como es posible conjugar los objetivos clasicos propios del aprendizaje del Derecho romano -proporcionar el conocimiento de las instituciones juridico romanas como medio para la adquisicion de toda la base conceptual que se necesitara en el estudio del resto de las ramas juridicas y para la comprension del Derecho comparado- con las modernas tecnologias, que proporcionan un entorno de aprendizaje con el que el estudiante actual esta mas familiarizado. Los cauces seguidos han sido: 1) busqueda, creacion y desarrollo de recursos didacticos digitales para su introduccion en el proceso de aprendizaje (test interactivos, crucigramas y otros ejercicios online) 2) recurso a la gamificacion y aprendizaje a traves del movil para aumentar la motivacion mediante el empleo de herramientas de respuesta de audiencia como Socrative y Kahoot y 3) realizacion de actividades para fomentar un buen uso de las tecnologias y de las fuentes de informacion a traves de internet al servicio del aprendizaje (elaboracion de un portfolio virtual con las principales fuentes de conocimiento del Derecho romano; grupo de Facebook y revista en Flipboard con noticias de interes para la asignatura). EnglishThrough two teaching innovation projects of the University of Oviedo, we have tried to show how it is possible to conjugate the classic objectives of the learning of Roman Law -to provide the knowledge of Roman legal institutions as a means of acquiring the entire conceptual basis that will be needed in the study of the rest of the legal branches and for the understanding of comparative Law - with modern technologies, which provide a learning environment with which the current student is more familiar. The channels followed have been: 1) search, creation and development of digital didactic resources to be introduced into the learning process (interactive tests, crosswords and other online exercises) 2) use of gamification and mobile learning to increase motivation through the use of audience response tools such as Socrative and Kahoot and 3) implementation of activities to promote the good use of technologies and information sources through the Internet at the service of learning (development of a virtual portfolio with the main Roman law sources of knowledge; Facebook group and magazine on Flipboard with news of interest for the subject
Prioritized Named Entity Driven LDA for Document Clustering

Topic modeling methods like LSI, pLSI, and LDA have been widely studied in text mining domain for various applications like document representation, document clustering/classification, information retrieval, etc. However, such unsupervised methods are effective over corpus with well separable topics. In real-world applications, topics might be of highly overlapping in nature. For example, a news corpus of different terror attacks has highly overlapping keywords across reporting of different terror events. In this paper, we propose a variant of LDA, named as Prioritized Named Entity driven LDA (PNE-LDA), which can address the issue of overlapping topics by prioritizing named entities related to the topics. From various experimental setups, it is observed that the proposed method outperforms its counterparts in entity driven overlapping topics.