Reviewerly/exHarmony huggingface dataset:
ASPECTS OF PROFESSIONALIZATION OF FUTURE PSYCHOLOGISTS IN THE PROCESS OF PREPARATION FOR PROFESSIONAL ACTIVITY

The article considers the formation of competencies of future psychologists in the process of their preparation for professional activity.Trends show that psychological professions are becoming part of various areas of work, which leads to the need to determine the features of professional education of future psychologists. The problem of training future psychologists is also related to the formation of internal reserves of the individual, his activities in society and health.&#x0D; The article contains an overview of the problems of professional training of future psychologists, which are the correct formation of professional qualities, mastering the systematic knowledge, skills and abilities necessary for professional activity, formation of readiness for future professional activity, mastering various forms of professional self-improvement. Socio-cultural, dynamic, conceptual-technological, psychological and other aspects of professionalism of the future psychologist are characterized.&#x0D; The presented results of the work provide an opportunity to solve the problems of professional training and inclusion in professionally-oriented practices. The training of future psychologists should be provided by a professional environment in which there will be approbation, consolidation of professional actions, internalization of professional activity.&#x0D; Key words: future psychologists, competencies, professional activity, professional education, personality.
Understanding Consumer Preferences Through Latent Spaces / Entendendo as preferências do consumidor através dos espaços latentes

The Latent Spaces technique has applications in areas such as natural language processing, image recognition and multi-language translation. It permits embedding vectors use. These are vectors in a k-dimensional vector space representing increasingly advanced study objects learning models, forming entirely new basis areas. Those vectors can capture semantic study object features and once trained can be reused in other models, decreasing training time and increasing knowledge transfer. This happens in Google Word2Vec and Facebook FastText pre-trained word vectors set. This work explores Latent Spaces techniques to understand preferences through recommendation mechanism implementation on top of MovieLens dataset from University of Minnesota. From it were extracted a sequence of triples (userId, movieId, rating) , representing ratings given by users to particular films. Two k-dimensional Latent Vector Spaces representing film characteristics and the corresponding user preferences were created using Google Tensorflow, Machine Learning techniques like SGD and Matrix Factorization. The performance benchmark was the mean-square error on the dimensionality k of the Latent Spaces. The capacity of the Latent Spaces was than evaluated to abstract non-trivial information about films and compared with small cosine distance technique. The system was able to find subjective related similarities that would be tough to code in a straightforward manner. Finally, it was explored an alternative to generate user vectors through neural networks. The techniques exposed here support the case that Machine Learning techniques like Latent Spaces can be used in business decision making.
A Transaction Model of Bill Service Based on Blockchain

In recent years, the bill business has developed rapidly, but it can not be ignored that there are also great risks in the bill business. In 2016, an Agricultural Bank of China (ABC) Bill case involving 3.9 billion yuan of paper swap with newspapers has aroused widespread social concern. At present, there are many problems in the traditional bill trading platform: Firstly, the transaction process is not transparent, and there are trust problems, which makes the bill circulation complicated and the cooperation efficiency low. Secondly, the paper-based bill is easy to be damaged and replaced in the process of delivery and storage, and there is a high operational risk. What’s more, paper bills are often unable to be handed over in time, providing loopholes for illegal activities such as empty-shell commercial bills and excessive sales of one bill. In order to deal with these problems, we need a new type of bill trading model without trust problems. As a new database technology, blockchain technology has the characteristics of distributed storage, consistent algorithm, intelligent contract, asymmetric encryption and so on, which can effectively solve the trust and security problems existing in the bill trading service platform. In view of the above research, firstly we briefly introduce the bill business process. After the demand analysis, the bill service transaction model based on blockchain is designed. Finally, by building the fabric blockchain platform and coding the smart contract, the model of the electronic bill transaction service based on the blockchain is realized. This model realizes bill issuance, endorsement transfer, discounting services on the blockchain platform.
Noise-injection as an Approach to Generating Random Data Sets for Online Tests and Virtual Labs

A methodology based on noise injection for generation of randomized tabulated data is presented. The strategy can be used both in online teaching and for specific numerical/graphical exercises, when individualized data sets are required simultaneously for the students. Restrictions imposed on teaching methods during to the SARS-Covid-19 pandemic, especially for laboratory sessions in chemistry or even for preparing written exams, have led to a need for approaches based on randomized data sets based on literature data or theoretical equations. Commonly available spreadsheet software has been used for generating random data and for analysis and calculations, which facilitates easy and low cost application of the methodology presented here. Uniform and Gaussian distributions have been employed to generate different types of noise. Statistical analyses on linear regression parameters for the different distribution and levels of injected noise have been performed. As examples, these results are employed to introduce randomness in three typical experiments performed in Physical Chemistry labs involving thermodynamics, chemical kinetics and conductivity of electrolyte solutions. Literature values are employed for the experiments as templates to which different levels of noise are applied. The results indicate that the application of noise has to be carefully controlled. Uniform noise is suggested for data sets that already contain natural random noise, whereas Gaussian noise should be employed for data sets created directly from theoretical or empirical equations, so as to produce data sets with a more natural, realistic appearance.
Smart Selfie using Computer Vision

In this research, we will use computer vision to implement real-time face detection and tracking of the lips position from high-definition video. As Face detection and recognition from an image or a video is a popular topic in biometrics research, it has widely attracted attention due to its enormous application value and market potential, such as a real-time video surveillance system. For face detection and tracking the location of the lips, we use the OpenCV library. The experimental findings were produced utilising computer vision and OpenCV framework libraries at 30 frames per second at 1080p resolutions for increased accuracy and speed in face detection and tracking of lips position, as well as taking a high-definition smart selfie.
The Effect of Commodity Quality in Achieving Customer Service: An Applied Study about Al-Kufa Cement Factory

This research is aiming to try to find out the effects of quality which represented by its removal in the service provided to the customer. Al-Kufa cement factory was chosen as a place for the study.As the study consisted of two variables, namely: the quality represented by its dimensions (performance, reliability, conformity, organization) as an independent variable, and customer service as a dependent variable. That the importance of the study lies in determining which of the aforementioned dimensions have the greatest impact on the service which provided to the customer, the research was based on two hypotheses. The first hypothesis is based on the existence of a correlation and influence relationship between the dimensions of quality combined and customer service. The method of the questionnaire was used in order to reach the conclusions and recommendations of the research also in order to reach the final results of the questionnaire, then use the statistical program (spss) to analyze the study data,then the correlation coefficient and multiple linear regression were used from the analysis of the sample answers as statistical tools. The results of the study show that there is a correlation and effect between the combined dimensions of quality and customer service, as well as the existence of a correlation and impact relationship between each dimension of quality and customer service.The two researchers, after reviewing the conclusions and recommendations reached through the study, recommended some recommendations which are related to the research topic.
해외 비원어민 화자 대상 온라인 한국어교육실습 사례 연구 -베트남 거점 세종학당 한국어교원양성 사례를 중심으로-

This study aims to propose a plan to provide online Korean teacher training program for Korean non-native speakers abroad and how to operate it efficiently, focusing on the case of Korean teacher training program at the Sejong Institute in Vietnam. To this end, we consulted with local KFL/KSL experts and conducted a preliminary survey of 19 Vietnamese preservice Korean language teachers to reflect the results, followed the guidelines for Korean teaching practicum set by the National Institute of Korean Language, and operated Korean language training program in a real-time online platform. A post-survey was conducted as part of the program evaluation after the practicum. Through this study, the design model of the online Korean teaching practicum for Korean non-native speakers abroad will be identified, and the specific operation case could be a guideline for those prospective practicum supervisor preparing to open similar training in the future to predict and view the entire program.
An Optimization of English E-Learning at Senior High School of Purworejo

This study aims to find the students’ problem during English e-learning as the base in providing new variations for teachers in conducting e-learning. It belongs to a descriptive qualitative research. The data is in the form of questionnaire answers taken from twenty students of some senior high schools of Purworejo. The writers use the mean of score scale in analyzing the data. From the analysis of data, it is found that in their e-learning, most of the students get bored since the learning process is monotonous, feel hard since there are too much assignment with lack of explanation, and feel lost guided for the absence of a real teacher manifestation. Based on the gotten problems, the writers offer the use of Edmodo application to provide new variation for teachers in conducting e-learning especially in English teaching. In Edmodo, there are many complete and complex features. So it provides another way for teachers and students to have better complement each other in e-learning. In conclusion, to solve the students’ problems in English e-learning, the teachers should be literate with the existing technology in the efforts of providing effective and interesting e-learning.
Educar en emociones en educación infantil: aspectos teóricos relevantes

espanolDado que el aprendizaje de la inteligencia inter e intrapersonal es considerado imprescindible en las aulas de infantil, se presentan los resultados de la indagacion bibliografica sobre los aspectos de mayor relevancia de la educacion emocional, con miras de proponer un programa de intervencion educativo para infantil, que desarrolle y favorezca las emociones propias y el reconocimiento de las mismas en los demas (Oliveros, 2018). En este sentido, los objetivos se centran en: conocer el recorrido historico de la educacion emocional, profundizar en los programas de intervencion emocional en las aulas; conocer la demanda y, por tanto, los beneficios que tienen en un nino emocionalmente educado. Se ha realizado una busqueda online de programaciones a nivel internacional llevadas a cabo en colegios de Educacion Infantil y Primaria y se han elaborado tablas-tipo, a partir de la informacion recabada de 6 articulos seleccionados, en los que se consideran los principales programas de intervencion que se han llevado a cabo, mas recientemente, con el fin de mejorar la inteligencia emocional en las aulas de infantil.. La investigacion demostro la alta eficacia que tienen los programas de intervencion en educacion emocional en los ninos, a partir de los 2 anos de edad, ademas de las limitaciones y perspectivas de dichos programas para el diseno, elaboracion y aplicacion de una propuesta de intervencion educativa en Educacion Infantil. EnglishGiven that the learning of inter and intrapersonal intelligence is considered essential in children’s classrooms, the results of the bibliographic inquiry on the most relevant aspects of emotional education are presented, with the aim of proposing an educational intervention program for infantile, that develops and favors the own emotions and the recognition of the same ones in the others (Oliveros, 2018). In this sense, the objectives are focused on: knowing the historical course of emotional education, delving into the emotional intervention programs in the classrooms; Know the demand and, therefore, the benefits they have on an emotionally educated child. An online search of international programs carried out in pre-school and primary schools has been carried out and type tables have been prepared, based on information collected from 6 selected articles, in which the main intervention programs are considered. that have been carried out, more recently, in order to improve emotional intelligence in the classrooms of children. The research demonstrated the high effectiveness of intervention programs in emotional education in children, from 2 years of age, in addition to the limitations and perspectives of said programs for the design, elaboration and application of a proposal of educational intervention in Early Childhood Education.
Need to formulate standards for using of digital tools in virtual campuses : A Study Experiment

This paper analyzes a case study of a survey carried out in a teacher training course (172) in which a set of digital tools is recommended, by said teacher, as instruments for improving online teaching. The diversity of these teaching tools in number and categories leads us to considerer the need to formulate guides in the sense of standards which help in the choice of said digital material and efficiently structure this type of teaching on campus.
Automatic Mask Detection and Social Distance Alerting Based on a Deep-Learning Computer Vision Algorithm

Worldwide, COVID-19 cases are growing exponentially day by day. With the delay of a vaccine, the only possible solution is precautionary steps. The foremost precautionary step is wearing a mask; it protects both the wearer and others by preventing the disease’s spread. Due to dire economic conditions, lockdown orders are being lifted in all sectors in India. In few months, crowded areas like malls, theaters, schools and colleges will be opened. It is feared that the number of COVID-19 cases might increase drastically. To slow the spread, it is vital that all persons wear masks and maintain social distance. This chapter aims to achieve real-time and accurate detection of mask wearing by using a deep- learning method. In this work, we have utilized a popular object-detection technique: Faster RCNN (Regions With Convolutional Neural Network), with a mask and no mask images dataset. The predictions are accurate and can detect if an individual is wearing a mask or not. Moreover, using the bounding boxes it is capable of measuring social distance, producing an alert when necessary.
The Privacy Paradox and Optimal Bias-Variance Trade-offs in Data Acquisition

While users claim to be concerned about privacy, often they do little to protect their privacy in their online actions. One prominent explanation for this "privacy paradox'' is that when an individual shares her data, it is not just her privacy that is compromised; the privacy of other individuals with correlated data is also compromised. This information leakage encourages oversharing of data and significantly impacts the incentives of individuals in online platforms. In this paper, we study the design of mechanisms for data acquisition in settings with information leakage and verifiable data. We design an incentive compatible mechanism that optimizes the worst-case trade-off between bias and variance of the estimation subject to a budget constraint, where the worst-case is over the unknown correlation between costs and data. Additionally, we characterize the structure of the optimal mechanism in closed form and study monotonicity and non-monotonicity properties of the marketplace.
PENGEMBANGAN MEDIA PEMBELAJARAN MENGGUNAKAN APLIKASI EXPLAINDIO VIDEO CREATOR PADA MATA PELAJARAN PENDIDIKAN KEWARGANEGARAAN KELAS VII SMP

Development of learning Media using the Explaindio Video Creator application is an effort for students to feel more communicative between a teacher, student and the media used. In research media development today aims to produce a learning media product on a citizenship education subjects.This type of research is a development study that uses a model of Borg and Gall developers.  The development procedure in this study consists of 5 steps: (1) planning, (2) Initial product development, (3) Product validation, (4) trial, (5) final product. The product validity test is done by 3 validators consisting of 2 media experts and 1 material expert. This product test was done to 30 students of grade VII SMP with a purpose to know practicality developed. The research instruments used are poll sheets, documentation and research formats.Based on the results of the feasibility assessment by a media validator and the material validator, the results of the assessment by two media experts are categorized as Valid/good for use with the same number of assessments. The results of the assessment validation by 1 material expert is also categorized as Valid/good for use with the average expert of the material.Keywords: Media learning Explaindio Video Creator
Latvian Delfi article archive (in Latvian and Russian) 1.0

This dataset is an archive of articles from the Delfi news site from 2015-2019, containing over 180,000 articles (c. 50% in Latvian and 50% in the Russian language). Keywords for articles are included.There are 5 JSON files:lv_2015.json contains 42 001 articles from the year 2015lv_2016_.json contains 40 342 articles from the year 2016lv_2017_.json contains 37 256 articles from the year 2017lv_2018_.json contains 31 732 articles from the year 2018lv_2019_.json contains 29 070 articles from the year 2019In sum: 180 401 articlesDescription of the datasetThis JSON file is a list of dictionaries, i.e. each article is represented as a dictionary. Each dictionary contains the following:id (integer) - the ID of the articletitle (string) - the title of the articlelead (string) - the lead of the articletags [1] (list of dictionaries or None): each dictionary represents one tag. The tag dictionary contains the following:domain_id (string) - the ID of the domainid (string) - the ID of the taglang (string) - the language of the tagtag (string) - the tag itself, e.g. Sokolādetranslitted_name (string) - a modified version of the tag, e.g. sokoladerawBody (string) - the raw text of the article (contains HTML)bodyText (string) - clean article text (stripped from HTML)publishDate (string) - published date & time of the articlecategoryPrimary (dictionary or empty list) - the dictionary contains the following information:categoryId (integer) - the ID of the categorycategoryName (string)- the name of the category (e.g. Futbols)channelId (integer) - the ID of the channelgroupId - NonechannelLanguage (string) - the language of the channel (nat - Latvian, rus - Russian)categoryLanguage (integer) - ID of the channel languagerelatedArticles (list of integers or None) - a list of related articles' ID'srelatedTags(string or None) -- related tags are comma-separated
COVID-19 pandemic: educational technology for post-hematopoietic stem cell transplant patients/ Pandemia de COVID-19: tecnología educativa para pacientes con trasplante de células madre hematopoyéticas/ Pandemia da COVID-19: tecnologia educacional para pacientes pós-transplante de células tronco hematopoéticas

ABSTRACT Objective: to describe the experience of building the technology Care for the prevention of COVID-19 in post-hematopoietic stem cell transplant patients. Methods: experience report conducted in a hematopoietic stem cell transplant outpatient clinic that supported the construction of an educational technology in the form of a booklet for the prevention of COVID-19. In May 2020, a literature review in scientific databases and guidelines of health organizations were used for its development. Results: printed booklet with information on the definition of coronavirus, hand hygiene, use of the mask by the patient and caregiver, isolation and social distancing and general hygiene care. Final Considerations: the use of technologies is characterized as a tool for educational actions therefore, nurses, patients and caregivers benefit from guidance processes for health care. The developed technology has the potential to minimize the impact and spread of SARS-CoV-2 among high-risk populations.
Students’ experience of using youtube in learning business accounting / Zulnaidi Yaacob and Nor Hasliza Md Saad.

The literature is replete with positive reviews of using Internet 2.0 in teaching and learning. The use of Internet 2.0, such as YouTube, has attracted millions of users including students and teachers. The growing number of YouTube users and what YouTube can offer in improving learning experience have attracted significant interest of many researchers on the possibility of integrating YouTube in learning activities. However, factors that influence students’ use of YouTube in learning is less explored in the literatures. Hence, this study aims to identify the factors that influence students’ experience in using YouTube as their learning platform. Data were collected from 342 students and the findings reported that, perceived usefulness, perceived ease of use, and social influence are three important factors in encouraging respondents to use YouTube as a learning platform. The implications of this study are also discussed, together with the limitations and suggestions for future research.