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Primul document privind conservarea Bibliotecii Teleki. Tabula legum bibliotecarum.

Author(s): Călin Ovidiu POP / Language(s): Romanian Issue: 1/2002

Samuel Teleki was not just a men of culture who’s interest in books was connected to his social image. He was passionately fond of books; he understood, at an early age, the importance of education, the necessity of a library.When he was 19, he began to acquire books from 25 important typographical centers from Europe. He was very interested in making a library of encyclopedic nature.The first document concerning the organization and conservation of his library was written in 1798. Through its indications, this document proves quite current, because it underlines some basic rules concerning the use of the books: the readers must take care of books, they must not touch them with dirty hands etc. There are some rules for the librarians too: the way the library must be organized, the way the building must be cleaned and maintained etc.

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Educational services in narrative museum taking as an example BASTEJA, the historical museum in Stargard

Author(s): Paulina Dąbrosz-Drewnowska / Language(s): English Issue: 4/1/2018

The aim of the article is the analysis of the educational services provided by a museum taking as an example the historical museum Basteja in Stargard, in Poland (West Pomeranian Region). This institution could be considered exemplary for the new type of modern museum – the narrative museum. It is situated in one of the lesser towns of Poland. The article enumerates the main educational services, focusing on historical ones. It tells how it is important to build local social awareness and to instill the historical knowledge especially to the young generation living in the small communities.

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Advanced Formatting of Delimited Big Data with Python

Author(s): Ivan Drankov,Yassen Gorbounov / Language(s): English Issue: 1/2020

With the growing demand for big data applications, the requirements for data processing tools are constantly increasing. Most of the problems associated with big data are size, inaccurate data, irrelevant data fields, inconsistent formatting, duplicate data, etc., and most of the conventional tools are not designed for big workloads. Formatting large amounts of data can lead to lots of problems while processing it. Although this data is usually delimited, the large volume makes the use of visual software inapplicable to run on limited data. On the other hand, the use of regular expressions inherent to many programming languages such as Perl or tools like grep (global regular expression print) is characterized by certain complexity and requires in-depth knowledge, thus limiting the scope of their application. This article offers a method for working with large amounts of data, developed using the Python programming language. The considered method has very good flexibility allowing easy configuration via XML file and achieving a high degree of automation.

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Software for statistical modeling via tensor Algebra

Author(s): Valeri Kostov,Latchezar Tomov,Slav Angelov / Language(s): English Issue: 1/2020

We developed software for statistical modeling and forecasting with general linear models and with composite functions as predictors. The software is applied for predictions of demand and supply of electrical energy for the Energy System Operator in Bulgaria. It supports automatic periodic updating of models and predictions. We propose for future development application of index expressions for tensor calculations in order to do multiple prognoses simultaneously. The proposed approach will allow us to update multiple models automatically.

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Teaching Database Design and the Importance of Integrity

Author(s): Peter Peinl / Language(s): English Issue: 1/2020

The costs to correct mistakes made in the early phases of database projects often rise exponentially with the number of phases between detection and correction. Therefore an adequate preparation of beginners as part of their university education, practically and conceptually, is able to avoid many mistakes. This paper outlines a systematic classroom approach to guide through the design of a database including faithful, rule based translation into an equivalent relational schema and its implementation using the SQL language. Experiences from teaching that course in a real classroom are compared to those made in spring/summer 2020, when the course had to be taught in a virtual classroom because of the Corona pandemic.

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Climate data interpolation for energy consumption prediction

Author(s): Latchezar Tomov,Slav Angelov / Language(s): English Issue: 1/2020

We address the problem of preparing and interpolating regional climate data in order to get proper nationallevel data for statistical modeling of the dependency of electrical energy consumption. We use data from the energy system operator and national statistics institute for electrical energy consumption and demographics for the purpose.

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A heuristic algorithm based on hydrophobic amino acids sequences in HP protein folding problem

Author(s): Metodi Traykov,Slav Angelov / Language(s): English Issue: 1/2020

The protein structure prediction is of massive significance because the properties of the proteins are critically determined by their structures. The protein structure prediction problem (Protein Folding Problem) is to predict the compact three-dimensional structure of a protein based on its amino acid sequence. Therefore, the protein folding problem is a computationally challenging problem. In this article, we will study the behavior of heuristic algorithm for protein folding problem, above sequences of hydrophobic amino acids only. The article is for educational purposes.

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Interactive Cultural Heritage Presentation in AR

Author(s): Zlatka Uzunova,Angel Pashev,Pavlena Yordanova,Alexander Dedelyanov,Stoyan Maleshkov / Language(s): English Issue: 1/2020

The passive presentation of cultural heritage using Augmented Reality (AR) alone is impressive but does not take full advantage of the great potential provided by this technology. Providing the user with the ability to also interact with the virtual objects retains the user’s attention for a longer period of time. In this way allowing more knowledge about the artifact to be gained, while at the same time creating a lasting impression of the experience. This paper presents our approach to creating rich interactive experiences with quality content, through which cultural heritage artifacts can be explored so that the user can learn more about them in an engaging way.

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Data Quality Assessment of Medical Insurance Claims

Author(s): Prachiti Aras,Guanglan Zhang,Reza Rawassizadeh,Irena Vodenska,Lou Chitkushev / Language(s): English Issue: 1/2020

High quality data lay a solid foundation for downstream research. Data quality assessment (DQA) is a necessary yet challenging step in data analytics projects involving coded administrative health data. Eight rules were established based on the presence of age and gender incompatible diagnosis. Using a rule-based method, we assessed data quality of a large medical insurance claim database, the Truven Health Analytics MarketScan Database. DQA results were reported based on nine years of inpatient claim data (Y2006-2014) and three years of outpatient data (Y2006, 2010, and 2014). In both inpatient and outpatient data, the most prevalent data issues are related to newborn conditions. Among the over 2.8 million inpatient records with newborn specific conditions, more than 22% belong to patients who are not newborn. The corresponding error rate in outpatient data is around 2%. Among the over 4 million inpatient maternal records, around 6% contain newborn specific codes. It was observed that the error rates are lower in outpatient data across the board and different patterns of data quality issues are associated with inpatient vs. outpatient records. To the best of our knowledge, this is the first work that systematically assesses the data quality of MarketScan databases.

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JGRAMS: Just-in-time Grading for Effective Feedback

Author(s): Eric Braude,Nicole Tebaldi,Pedro Valeriev Cartaxo Brussarski,Sumesh Poduval,Kathleen Park / Language(s): English Issue: 1/2020

JGRAMS (Just-in-time Grading Messages) is a system designed to promote quality in student papers and reports, and to improve efficiency in grading. It does this by providing students with a Word template for the assignment, which contains rubrics as structured comments called JGRAMs, located with specific sections of the template. The idea is to make grading rubrics very evident to the student, who is thus more likely to pay attention to the qualities desired. Global JGRAMs are used as well. The instructor inserts as many such comment-rubrics into the document template as they wish, at any location, with whatever weight they desire. Once the student submits the paper, the grader provides feedback and grades within each JGRAM. Grading is easier and less time-consuming because each rubric, the student's corresponding work, the grade for that rubric, and the feedback are co-located. JGRAMS handles everything else automatically, including weight rationalization and summation.

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Teaching Javascript With Vue.Js

Author(s): Allison Coleman / Language(s): English Issue: 1/2020

In this paper we provide details of the enhancements made to a front-end web design and development course. The Computer Information Systems (CIS) course successfully teaches HTML, CSS, and JavaScript with supporting libraries. A practical experiential project provides foundational concepts and provides web design front end developer knowledge and most in-demand skills. Our focus in this paper is on advanced JavaScript – specifically frameworks, libraries and packages. In particular we demonstrate the flexibility, versatility and power of Vue.js in this paper. Topics covered include the Vue instance, expressions, directives, attribute binding, conditionals and loops, event handling and methods, and class and style binding. The paper describes a pedagogically well-defined application which continuously builds upon these topics.

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Teaching Data Science By History: Kepler's Laws of Planetary Motion and Generalized Linear Models

Author(s): Eugene Pinsky / Language(s): English Issue: 1/2020

Teaching data science is challenging: it is a multi- disciplinary subject that requires solid mathematical background. There are many models and approaches to consider. It is important, in our view, to present a unified approach to teaching this subject. We believe that one of the most effective ways to do so is to present historical examples. An interesting historical example that explains Generalized Linear Models in prediction is the quest by the German astronomer, Johann Kepler, at the beginning of the 17-th century to and a unifying law explaining the motion of the planets in our Solar system.

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Bitcoin Price Prediction using Transfer Learning on Financial Micro-blogs

Author(s): Jovan Davchev,Kostadin Mishev,Irena Vodenska,Lubomir Chitkushev,Dimitar Trajanov / Language(s): English Issue: 1/2020

We present a methodology for predicting the price of Bitcoin using Twitter data and historical Bitcoin prices. Bitcoin is the largest cryptocurrency that, in terms of market capitalization, represents over 110 billion dollars. The news volume is rapidly growing, and Twitter is increasingly used as a news source influencing purchase decisions by informing users of the currency and its popularity. Using modern Natural Language Processing models for transfer learning, we analyze tweets’ meaning and calculate sentiment using the NLP transformers. We combine the daily historical Bitcoin price data with the daily sentiment and predict the next day’s price using auto-regressive models for time-series forecasting. The results show that modern approaches for sentiment analysis, time-series forecasting, and transfer-learning are applicable for predicting Bitcoin price when we include sentiment extracted from financial micro-blogs as input. The results show improvement when compared to the old approaches using only historical price data. Additionally, we show that the NLP models based on transfer-learning methodologies improve the efficiency in sentiment extraction in financial micro-blogs compared to standard sentiment extraction methods.

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Workforce Analytics: A Data-Driven Machine Learning Approach to Predict Job Change of Data Scientists

Author(s): Sohini Sengupta,Sareeta Mahendra Mugde,Renuka Deshpande,Kimaya Potdar / Language(s): English Issue: 2/2021

Today the total amount of data created, captured, and consumed in the world is increasing at a rapid rate, as digitally driven organizations continue to contribute to the ever- growing global data sphere. (Holst, Statista Report 2020). This data brings with it a plethora of opportunities for organizations across different sectors. Hence, their hiring outlook is shifting towards candidates who possess the abilities to decode data and generate actionable insights to gain a competitive advantage. A career in data science offers great scope and the demand for such candidates is expected to rise steeply. When companies hire for big data and data science roles, they often provide training. From an HR perspective, it is important to understand how many of them would work for the company in the future or how many look at the training with an upskilling perspective for new jobs. HR has the aim of reducing costs and time required to conduct trainings by designing courses aligning to the candidate’s interest and needs. In this paper, we explored the data based on features including demographics, education and prior experience of the candidates. We made use of machine learning algorithms, viz. Logistic Regression, Naive Bayes, K Nearest-Neighbours Classifier, Decision Trees, Random Forest, Support Vector Machine, Gradient Descent Boosting, and XGBoost to predict whether a candidate will look for a new job or will stay and work for the company. Additionally, we investigate the factors that play an crucial role in a person’s decision to work for the company so that the HR teams can leverage this knowledge to effectively build training programmes and retain employees.

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Ретуш с игла и конец. Професионална етика при реставрацията на престилки от празнична саяна носия от Югозападна България

Author(s): Rositsa Radeva / Language(s): Bulgarian Issue: 3/2021

The restoration of traditional Bulgarian clothing (garments) from the end of the 19thand the beginning of the 20th century requires a specific approach, concerning the intervention itself. Every reinforcement, every repair, every retouching with the needle and thread must be so well made that it gives durability of use over time and does not differ from the general vision. Traditional approaches to restoration techniques arenot always appropriate enough for this type of intervention. Owners of such clothing,stored in chests of drawers and closets, require for it to be useable afterwards. The authentic costume, that is about to live its second life, must remain soft, flexible and strong. These qualities are not necessary for a museum exhibit. There, the approach is rather conservative. The retouch in the restoration intervention is the final stage of the professional work on the original. In the case of privately owned costumes,the approach is rather different. Even the base on which the retouching will be done should be as close as possible to the original in terms of structure, texture and color,so that the intervention will be barely noticeable. At the same time, in retouching, the restoration must be strong enough to withstand further use of the costume.

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The Role Of Kate In Goldsmith’s She Stoops To Conquer: An Analytical Approach

Author(s): Hassan Mariwan N. / Language(s): English Issue: 14/2020

This research is about Kate’s role in play She Stoops to Conquer, which was written by Oliver Goldsmith in 1773 in England. It is a comedy play which consists of some ethical themes. In this play, women’s role and rights are focused on, in the eighteenth century in a patriarchal society and also it talks about the relation between women and their reflection in English Literature.The purpose of this research is to analyze Kate's role, whether she has a good role or not and how does she play her part. Kate generally has a good role in this play, considering all the abnormalities, eventually she could resolve, helping others, and achieves her own ambitions. Thenthe role women played in the eighteenth century will be explored. An Analytical Approach has been used to analyse the play.

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The school and the idea of educational resource Premises of a quality management in the school organization

Author(s): Marius-Costel Eşi / Language(s): English Issue: 14/2020

The issue brought into discussion allows, in our opinion, for an analysis of the way in which the evaluation of the degree of attractiveness of the school from the perspective of counseling and human resources administration is performed. Thus, our scientific interest is mainly focused, on the one hand, on the educational and social role that teachers have within the school, and on the other hand, how it is possible for the school to become attractive to pupils by assuming by teachers of specific educational policies. In other words, our scientific approach aims at understanding and analyzing ways to assess the attractiveness of the school.

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Community-Based Education Practices in Resettlement: Insights from the Blacksburg Refugee Partnership

Author(s): Jared A Keyel / Language(s): English Issue: 5/2021

Education is a key component of the processes refugees undertake to (re)establish their lives in their new communities. In many cases too, displaced individuals have had interruptions in their education paths. In the United States context, nonprofit and community organizations provide essential services to supplement publicly funded resettlement and educational programs. The Blacksburg Refugee Partnership (BRP) has been filling service provision gaps in Southwest Virginia for a group of resettled refugee households since late 2016. BRP provides tutoring, English as a Second Language (ESL) training, and summer supplemental programming. Based upon an interview with BRP’s Education Coordinators and a survey of leaders and volunteers in September 2018, this article explores the organization’s work, connecting it to challenges and opportunities similar education initiatives encounter. I organize research results around three primary themes: the benefits of resettlement in a “college town” and the importance of leveraging university resources; the complexity of volunteer-led programming; and the need for comprehensive services to facilitate students’ education. I conclude by sketching the implications of this case for other educational initiatives serving refugees.

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The Plan of S. Maria Assunta in Torcello Designed by N. Brjullov at the Ser-vice of the Virtual 4D Reconstruction of the Cathedral Towards May 1855

Author(s): Magdelena Stoyanova,Margarita Krylova,Lilia Pavlova / Language(s): English Issue: XI/2021

The plan of S. Maria Assunta in Torcello designed by the Russian architect and painter N. Brjullov in 1855 is analyzed in the context of less or more known written historic documents, of architectural and archaeological evidence, in order to virtually reconstruct by faithful images and interactive narratives the cathedral as it was immediately before the restorations 1854-58.

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НАУЧНО МИШЉЕЊЕ И УМЕТНИКОВА ИДЕЈА

Author(s): Nemanja S. Lazarević / Language(s): Serbian Issue: 72/2020

Through the analysis of parts – from font to audio recordings, the paper tries to point out those important elements from which Dušan Matić, a poet, constructed his works, but which were sufficiently stimulating for authors who dealt with certain possibilities of a multimedia digital book.

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