Reviewerly/exHarmony huggingface dataset:
SMARTnet(TM) - An Update

Operation of satellites and research of their orbital regions depend on both modelling e. g. of the environment and data banks consisting of objects with preferably high accuracy ephemerides and, if possible, completeness of the number of objects in this region. If concentrating on the geostationary regime, it is assumed that a detection size of an object of 30cm or larger is sufficient for the aforementioned topics. It is of international interest to exchange and access this data on a low cost basis. For this reason, SMARTnet™ was developed, allowing for interchanging data, especially tracklets, within the community of sensor owners or sensor operators on a no exchange of funds basis. The first contributors to SMARTnet™ are operating optical telescopes and produce tracklets. In this context, a tracklet is a series of the angle pair right ascension and declination including the corresponding epoch of a single object.In 2017, SMARTnet™ was opened for international co-operations. The main objective of SMARTnet™ is the exchange of tracklets, allowing for each participating entity to develop own catalogues, own algorithms, and own products. Since then, Applied Defense Solutions has joined SMARTnet™ and is the first Partner. A basic statistic of the data available through SMARTnet™ is shown as well as first results with respect to a first data bank of objects, which can be derived from this data.
PROFESSIONAL DEVELOPMENT AND SELF-DEVELOPMENT OF PERSONALITY

An attempt is made to determine, based on a generalization of relevant publications, the content and correlation of phenomena denoted by the categories of “professional development” and “professional self-development” of an individual. The most famous conceptual models proposed by scientists for theoretical and methodological substantiation of these phenomena are analyzed. It is shown that the category of professional development ( or occupational genesis) is an interdisciplinary concept, which, speaking in the form of a series of semantically close variants, It simultaneously organizes, systematizes the functions, and also plays the role of a kind of cognitive guide.In the phenomenon of professional genesis, researchers identify and describe personal, activity, cognitive, communicative, historical, sociocultural, axiological, pedagogical, acmeological, prognostic, ethical, aesthetic and other aspects. attention to the fact that the concepts of “professional development” and “professional self-development” of an individual do not mean separate, parallel processes, but are a reflection of the objective and subjective essences of the same phenomenon.It is substantiated that professional self-development as a need and one of the main competences of the individual acquires a clearly expressed axiological value in the general process of professogenesis, so it is considered an indispensable sign of the latter's success. Separate research requires the key role of professional self-development in pedagogical institutions of education, since awareness of oneself is not only an object, but much more the subject of an educational process, which is fully realized only as a result of conscious and purposeful professional formation, is an indispensable condition for professional and professional formation. installations by a future teacher.
Features Of Family Self-Determination Of Youth, Depending On The Level Of Education

As a result of the radical socio-economic transformations taking place in the modern world the institution of family and marriage is being changed. Thus the problem of purposeful formation of family self-determination of student’s youth in the processes of education and training becomes particularly relevant on this background. The purpose of the conducted research is studying of features of family self-determination of students youth depending on the education level. The results of the empirical research, which was attended by 1158 respondents, indicate that university students have more developed elements of cognitive, value-emotional, regulatory and behavioral, motivational, reflective component of family self-determination. College students are characterized by increased unproductive motives for marriage (compensation for feelings of loneliness, revenge), less negative attitude towards family conflicts, less depicted intrapersonal conflict in the marriage and family sphere than university students. Family self-determination is typical and achieved for the majority of university students. Diffuse family self-determination prevails with college students. According to this we suggest to introduce a psychology-pedagogical model of development of family self-determination which will provide activization of the process of family self-determination as inextricably linked with personal and social identity, formation of psychological competence of the sphere of matrimonial relationship, readiness for marriage and family life in the educational process of colleges.
A proposal of automatic quality for Git commit messages

Este trabajo se ha realizado con la intencion de proponer una herramienta que permita validar la calidad de los mensajes de commit de Git antes de que estos sean persistidos y de esta forma procurar que el registro historico del repositorio contenga informacion que le permita a cualquier revisor o mantenedor del codigo fuente entender de forma simple y consistente lo que se ha hecho en cada commit. El creciente uso de GitHub como la plataforma mas usada para desarrollo colaborativo ha despertado el interes de investigadores debo a la riqueza de los datos que contiene. GitHub hospeda una gran cantidad de repositorios de codigo fuente de software Open Source (F/LOSS), el analisis de estos proyectos permite entender como el desarrollo de software se comporta en base a multiples caracteristicas, es por esto que para la validacion de la herramienta de validacion propuesta se han analizado los 10 repositorios mas destacados que usan como primer lenguaje de programacion Python y que han sido desarrollados bajo la licencia Apache 2.0. Los parametros de calidad propuestos se basan en reglas de formato de texto y sintacticas, las mismas se han aplicado a los mensajes de commit de los proyectos estudiados usando SpaCy para el procesamiento de lenguaje natural y se han obtenido resultados sobre su cumplimiento. Finalmente se ha intentado establecer un modelo lineal para explicar como el tiempo desde un commit a otro es influenciado por las reglas propuestas pero dicho modelo no ha sido lo suficientemente bueno y debe ser mejorado.---ABSTRACT---This work has been carried out with the intention of proposing a tool that allows to validate the quality of Git commit messages before they are persisted and in this way to ensure that the historical record of the repository contains information that helps any reviewer or source code maintainer understand in a simple and consistent way what has been done in each commit. The increasing use of GitHub as the most used platform for collaborative development has aroused the interest of researchers due to the wealth of data that contains. GitHub hosts a large number of repositories of Open Source Software (F/LOSS), the analysis of these projects allows us to understand how software development behaves based on multiple characteristics, that is why for the validation of the proposed tool, it has analyzed the 10 most starred repositories that use Python as the first programming language and that have been developed under the Apache 2.0 license. The proposed quality parameters are based on text format and syntactic rules, they have been applied to the commit messages of the studied projects using Spacy for natural language processing, and the results about their compliance have been obtained. Finally, an attempt has been made to establish a linear model to explain how the time form one commit to another is influenced by the proposed rules, but that model has not been good enough and should be improved.
Super-resolution Reconstruction of Noisy Video Image Based on Sparse Representation Algorithm

In this paper, the image super-resolution reconstruction (SRR) based on sparse representation was studied.Firstly, the sparse representation algorithm was simply analyzed, and then applied to the SRR processing of single image.In noisy video images, the Lucy-Rechardson algorithm was used for denoising first, then Lucas Kanade + multi-scale autoconvolution (MSA) method was used to register video images, and finally SRR was processed by sparse representation algorithm.Three video images were taken as examples for analysis, and the peak signal to noise ratio (PSNR) value and the structural similarity index measurement (SSIM) value were used as image quality evaluation indexes.The results showed that the average PSNR value and average SSIM of the SRR processing method based on sparse representation were significantly higher than those of bicubic interpolation method; the quality of the processed image was higher and the super-resolution effect was better.The experimental results prove the reliability of the proposed method and make some contributions to the further application of the sparse representation algorithm in SRR processing.
Relationship between Socioeconomic Characteristics and Usability of Online and Mobile Media among Farmers of Punjab

The present paper is an endeavour to analyze the accessibility and usability of online and mobile media among farmers and to find out the relationship between socioeconomic variables and various online and mobile media. The primary data were collected from randomly selected 720 farmers from 16 villages of Punjab through self-structured questionnaire. The findings of the study indicate that 99.17 per cent of farmers in the study area had access to mobile phones while 78.05 per cent farmers were using internet on their mobile phones. However, 60.56 per cent farmers had used agri-apps and agricultural websites to obtain agricultural information. Only 43 per cent of them had positive perception towards the usefulness of information attained through online and mobile media. Further, there was a positive correlation of socioeconomic characteristics such as education, income and land with usage of online and mobile media whereas age and experience had shown negative correlation. This implies that with the increase in age and experience of farmers, the possibility of using mobile and online media for agricultural information declined whereas higher education, larger landholdings and more income facilitated greater use of mobile phones and internet for agriculture purposes. Thus, the socioeconomic characteristics of farmers had a direct and deep relationship with the accessibility and usage of online and mobile media among farmers of Punjab. The study recommends that a policy should be framed to educate the elderly farmers regarding the use of the new media. The scope of formal education among the youth should also be expended to realize the full potential of this medium.
Stream and Event Processing Services for Real-time Linked Dataspaces

The goal of Real-time Linked Dataspaces is to support a real-time response from intelligent systems to situations of interests within a smart environment by providing data processing support services that follow the data management philosophy of dataspaces and meet the requirements of real-time data processing. This part of the book details support services to process streaming and event data which support loose semantic integration and administrative proximity. Support services include entity-centric queries, complex event processing, stream dissemination, and semantic matching for heterogeneous events. The goal of these services is to support a real-time linked dataspace to get setup and running with a low overhead for administrative and semantic integration costs (e.g. establishing data agreements, service selection, and service composition).
New Internal Clustering Evaluation Index Based on Line Segments

This work proposes a new internal clustering evaluation index, based on line segments as central elements of the clusters. The data dispersion is calculated as the average of the distances of the cluster to the respective line segment. It also defines a new measure of distance based on a line segment that connects the centroids of the clusters, from which an approximation of the edges of their geometries is obtained. The proposed index is validated with a series of experiments on 10 artificial data sets that are generated with different cluster characteristics, such as size, shape, noise and dimensionality, and on 8 real data sets. In these experiments, the performance of the new index is compared with 12 representative indices of the literature, surpassing all of them. These results allow to conclude the effectiveness of the proposal and shows the appropriateness of including geometric properties in the definition of internal indexes.
Radar-based Road User Classification and Novelty Detection with Recurrent Neural Network Ensembles.

Radar-based road user classification is an important yet still challenging task towards autonomous driving applications. The resolution of conventional automotive radar sensors results in a sparse data representation which is tough to recover by subsequent signal processing. In this article, classifier ensembles originating from a one-vs-one binarization paradigm are enriched by one-vs-all correction classifiers. They are utilized to efficiently classify individual traffic participants and also identify hidden object classes which have not been presented to the classifiers during training. For each classifier of the ensemble an individual feature set is determined from a total set of 98 features. Thereby, the overall classification performance can be improved when compared to previous methods and, additionally, novel classes can be identified much more accurately. Furthermore, the proposed structure allows to give new insights in the importance of features for the recognition of individual classes which is crucial for the development of new algorithms and sensor requirements.
Psychological Attitude of Medical Students towards Course-book Modification: A Case of Text Simplification in ESP Courses

Introduction: The current study sought to investigate the impact of linguistic modification of medical textbooks on reading comprehension ability of medical students and their attitude towards text simplification. Materials and Methods:  150 male and female medical students coming from Shahid Beheshti University of Medical Sciences participated in this study. The homogeneity of the participants was attained through passing a placement test, followed by completing the pre-requisite and general English courses.  For the purpose of modifying the texts, the framework proposed by Van Den Branden (2000) was adopted. Moreover, the questionnaire developed by Saito, Horwitz, and Garza (1999) called Foreign Language Reading Anxiety Scale (FLRAS) was used. Results: Data analysis was conducted, using one-way analysis of variances (ANOVA). Concerning the major research question, analysis of the data indicated that there were significant differences between the participants’ performance on the four reading tests. Thus, the major null-hypothesis as “lexical modification, grammatical modification, and lexical and grammatical modification in comparison with no modification of input do not significantly affect the reading comprehension ability of Iranian medical students differently” was rejected. The last research question deals with medical students’ perceptions towards different types of input modifications  Conclusion: The overwhelming majority of the interviewees chose lexically and grammatically modified texts. However, “not modified text” was regarded as the most boring one. Also, the participants believed that grammatically modified texts were best for improving students’ work knowledge. Moreover, the interviewees mentioned that grammatically modified texts with fewer complicated structures were more straightforward for them.
SELECTING A NUMBER OF TACTICAL COORDINATION EXERCISES TO IMPROVE STUDENTS’S CALCULATING CAPACITY IN CHESS CLASSES AT HO CHI MINH CITY UNIVERSITY OF TECHNOLOGY AND EDUCATION

Based on the assessment of teaching and students’ current state of calculating capacity in chess classes, the topic has selected a number of tactical coordination exercises to improve the calculating capacity for students of chess classes at Ho Chi Minh City University of Technology and Education (HCMC UTE). Thereby, indirectly support students to study well other subjects in the school's general curriculum. Article visualizations:
Smart Card in Fun Learning Activity to Increase Interest in English Grammar Learning

Learning English in the classroom, especially grammar courses, is often considered a boring subject because the learning and teaching process is often done monotonously. The Smart Card Learning Model is expected to be able to provide a different atmosphere in the grammar class. At the stage of initiation, introduction, and application, it is expected that this learning model can increase students' interest and enthusiasm in learning grammar. From that point, increasing student interest and enthusiasm is expected to have implications for increasing student grades. This study aims to answer the 3 research problems: 1)What are the difficulties faced by students in Intermediate English Grammar class?, 2)What are the students perception on Smart Card?, 3)How can Smart Card help students in Grammar?.  From the results of the research that has been carried out, students faced the difficulties in memorizing 16 tenses and the boredom in the class related to activities given by the lecturer. Students found Smart Cards was very fun, easy to use and increase students’ interest in learning English Grammar. The majority of students want a variety of learning media besides the media commonly used by lecturers such as power points, lectures, and group discussions.
THE PSYCHOLOGICAL CHARACTERISTICS OF A PERSONALITY WHOM IS A MEMBER OF DESTRUCTIVE RELIGIOUS CULTS

The article analyses a concept of a faith as a part of general psychological phenomena «the faith».Features of the religion faith and its functions were explored from psychological point of view.We have considered the causes spreading the religion sects and their attractiveness for certain groups of people.Our target was to define signs of religiosity and relation between external motivation and fanaticism.
Yazılım Mühendisliğinde Çevik Yöntemler Üzerine Kavramsal Bir İnceleme ve Sınıflandırma

To accomplish the needs of rapidly growing software industry, in addition to varios methodologies defined in software engineering, agile methodologies have been used. Many methods and applications have been developed under the title of agile methodologies related to software, process and project concepts. Each of these has its own specific structures as well as many common points. Agile Software Development Manifest, which emphasizes these common points, has been declared to prevent concept confusion. In this study, it has been tried to classify these common features in the application and processes based on agile software development method. Some activities such as analysis, management, improvement, implementation, reengineering and evaluation in agile software development method are prominent. Classification of defined methods and applications under title of agile methodologies is based on these activities. In order to make the classification work more useful to the reader, it has been tried to reveal the interests and differences of some concepts and applications used in software project management within a conceptual framework.
Activity recognition evaluation via machine learning

With the proliferation of relatively cheap Internet of Things (IoT) devices, smart environments have been highlighted as an example of how the IoT can make our lives easier.Each of these 'things' produces data which can work in unison to react to its users.Machine learning makes use of this data to make inferences about our habits and activities, such as our buying preferences or likely commute destinations.However, this level of human inclusion within the IoT relies on indirect inferences from the usage of these devices or services.Activity recognition is already a widely researched area and could provide a more direct way of including humans within this system.This research explores the feasibility of using a cost effective, unobtrusive, single modality ground-based sensor matrix to track subtle pressure changes to predict user activity, in an effort to assess its ability to act as an intermediary interface between humans and digital systems such as the IoT.
Penerapan Model Sinektik Untuk Meningkatkan Kemampuan Menulis Cerpen Bagi Mahasiswa

Writing skills are skills that students of the Indonesian Language and Literature Education (PBSI) study program need to have. In studying Literature Expression Writing courses in the PBSI Study Program at Muria Kudus University, students are expected to be able to write literary works, for example writing short stories. The problem is, writing short stories is still considered to be a difficult thing. Students still feel heavy and have difficulty writing short stories. This study aims at first explaining the improvement of PBSI students' short story writing skills with a social synectic model with a multicultural context in the subject of literary expression. Second, explaining the attitude of students in learning to write short stories with a social synectic model with a multicultural context. The method used in this study used a class action research design which was carried out for two cycles. The process of collecting data is done through test techniques, in the form of assignments to write short stories. The results of research conducted showed evidence of increased skills in writing short stories in the first cycle of an average of 60.42%, while in the second cycle rose to 80.18%. Keywords: Writing, short stories, synectic models
The Fisher-Rao Metric in Computer Vision

The Fisher-Rao metric is a Riemannian metric defined on any manifold that forms the parameter space for a family of probability distributions. The metric is specified by quadratic forms defined on the tangent spaces of the manifold. If a parameterisation of the manifold is chosen then each quadratic form is given by a symmetric positive definite matrix. Lengths, areas, volumes and hyper-volumes calculated using the Fisher-Rao metric are invariant under reparameterisation. This invariance is essential in practice because the parameterisation can be changed arbitrarily while keeping the data unchanged. The Fisher-Rao metric is obtained as a limit of the expected value of the log likelihood ratio for two nearby probability distributions. The inverse of the Fisher-Rao matrix is the Cramer-Rao lower bound on the covariance of an unbiased estimate of a parameter. The Fisher-Rao metric is used to divide the parameter space for the Hough transform method for detecting structures in data. Each division or accumulator is invariant under reparametrerisation, and the number of accumulators is proportional to the volume of the parameter space. Accurate approximations to the Fisher Rao metric are obtained for lines, catadioptric images of lines, circles, ellipses and the cross ratio. It is shown that the Fisher-Rao metric can be used to compare the amount of information in point features with the amount of information in edge element features.