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The „David Prodan” Library of Cluj-Napoca
The „David Prodan” Library is one of the greatest owners of books both in Transilvania and in the entire Romanian land. David Prodan was the one who collected the books spread around by communists and took them to the headquarters of the Romanian Academy Section in Cluj-Napoca. Thus, 60 years ago,the „David Prodan” Library was founded within the Romanian Academy Section in Cluj.
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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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In 2010 was found the photographic archive of newspapers Igazság and Făclia, in Cluj-Napoca, after the dissolution of the Făclia photo lab. The negatives, covering the decades of 1960-1990proved to be invaluable documents of everyday life in Cluj and the region. Minerva Cultural Association took over the approximately 30 thousand negatives, archived them, but also digitized them, making accessible on the institution’s website: http://www.photoarchive.minerva.org.ro/Ro. A small part of the pictures was published in the aforementioned newspapers, but the most have not been widely publicized.
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Cel badań: Próba odpowiedzi na pytanie, w jaki sposób postrzegana jest literatura epok dawnych z perspektywy uczniów pierwszych klas liceum. Wykorzystanie zdobytych informacji na rzecz dydaktyki języka polskiego. Metoda: Bazę wyjściową podjętych rozpoznań stanowiły wyniki badania ankietowego przeprowadzonego w liceach pod koniec roku szkolnego 2017/2018 wśród pierwszoklasistów z wielkopolskich szkół. Analizę uzyskanego materiału poprzedziła diagnoza obecności samej literatury w wymaganiach programowych przeznaczonych dla pierwszej klasy oraz analiza wymagań stawianych na maturze. Ostatni etap rozważań – oparty na wynikach uczniowskich ankiet – ujęty został w perspektywie możliwości antropologiczno-kulturowego ujęcia szkolnej literatury epok dawnych. Wyniki: Analiza uczniowskich odpowiedzi pozwoliła zauważyć, że literatura nie stanowi częstego punktu odniesienia dla uczniów kończących pierwszą klasę liceum. Informacje zgromadzone podczas całorocznej nauki na przedmiocie język polski oscylują pomiędzy kwestiami wizualności epoki a indywidualnymi upodobaniami. Nie łączą się jednak bezpośrednio z przedmiotem - bliżej im do uczniowskiej recepcji kultury popularnej lub ogólnych skojarzeń, które uniemożliwiają pozytywną ocenę uczniowskich kompetencji w odbiorze i rozumieniu epok literackich. Wnioski: Antropologiczne ujęcie uczniowskich refleksji pozwala na wstępne opracowanie metod pracy skupiających się na tekstach literackich już od epok najdawniejszych. Życie człowieka epok dawnych, uwikłanego w swoją kulturę, nie musi stanowić bariery uniemożliwiającej współczesnemu licealiście zrozumienie tekstów dawnych.
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Technological fatigue is spreading due to the increased arrays of technological branches and the rapid pace of development. Keeping up with the latest and newest might prove not only difficult and tiring, but also not necessarily recommended to beginners in digital humanities. A more “back to the basis” approach might be more useful for students that don’t have technical backgrounds.
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In this paper we propose a method for monitoring and evaluating the development and early education of children under the age of six by using historical and cultural heritage objects. We begin with outlining several problems identified in our research and then describe the internals of our method. Last, we define an architecture for and describe the characteristics of an online platform for managing the full process assessing and improving skills of young kids.
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The recent decade had brought about massive growth in the Web and Web data - pictures, documents, videos and more. What worked well for years with relational databases is not well suited for the unstructured massive amounts of data and applications that are part of the Web, such as social networks. As a result, new types of database have emerged, including NoSQL (“not only SQL”) databases. Graph data-bases are one type of NoSQL database.
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The present paper aims at presenting the research methodology for creating an electronic collection of widespread European food idioms, corresponding to the shared European cultural heritage. This study intends to make use of digital scientific lexicographical methods in the field of phraseology, providing an answer to the challenge regarding the research strategies of studying language from the perspective of cultural universals. Even if the cross-linguistic similarities of idioms according to their cultural foundations seem to gain ground in today's research, the electronic collections are less convincing. In response to the current situation of the onomasiological cross-linguistic corpus of idioms, our study’s main objective is the elaboration of a methodological model of an electronic collection of widespread European food, which exceeds the perspective of a simple compilation of phrasemes that are separately treated and alphabetically ordered, but organised as organic elements related to a coherent system.
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The article discusses methodology and structure of the content of Serious Educational Game related to the military and historical heritage “Mission Opalchenets” (working title) according to learning objective. The goal of this initiative is to achieve a specific level of knowledge and skills in users in the area of military and historical heritage of Bulgaria. The authors' thesis is that any cognitive level can be appropriately represented in the IT environment of the serious educational game.
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Support Vector Machines are a widely used tool in Machine Learning. They have some important advantages with regards to the more popular Deep Neural Networks. For the problem of image classification, multiple SVMs may be used and the issue of finding the best hyperparameters adds additional complexity and increases the overall computational time required. Our goal is to develop and study Monte Carlo algorithms that allow faster discovery of good hyperparameters and training of the SVMs, without impacting negatively the final accuracy of the models. We also employ GPUs and parallel computing in order to achieve good utilisation of the capabilities of the available hardware. In this paper we describe our methods, provide implementation details and show numerical results, achieved on the publicly available Architectural Heritage Elements image Dataset.
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A short history of the journal is presented and the steps taken along the years in order to enhance the quality and reach of the journal, including the recent change of its title.
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A way of highlighting and promoting the most important and significant components of the national heritage is to harness them through Internet-based technologies. This paper presents the proposed digital solution for the promotion and preservation of collections of information from the Romanian literary patrimony using intelligent digital solutions for the extraction and systematization of knowledge. This digital solution, a platform, will offer advanced, intelligent semantic search and analysis services and prediction forms concerning Romanian literature. This paper presents several important platforms, systems and projects that are linked to the Literary Heritage. Then, a comparative analysis of the functionality, limitations and opportunities of the most relevant online platforms is presented, followed by the description of the main features of INTELLIT platform.
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In the recent years new approaches were created to teach and learn Mathematics. One of them is by using theatre plays with mathematical content. The present paper proposes a scenario of such a play based on linear Diophantine equations.
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3D digitization is becoming the norm in the preservation of tangible cultural properties be it movable or immovable. In the case of mobile cultural objects, 3D models are normally acquired through non-destructive methods such as photogrammetry or 3D scanning using structured light or laser. The continuing improvements in scanning equipment which result in higher accuracy and resolution can be translated to mean higher level of 3D data acquired. At times, the quantity of 3D data of a single model can get too large and beyond what a normal work-station can process. This is where optimization comes in. However, the level of optimization will vary to suit the final purpose or usage of the 3D model. During optimization, the resulting optimized 3D model is bound to suffer from some level of data loss when compared to the original 3D model acquired directly from laser scanning. This paper discusses a practical method devised by Amber Digital Solutions in maintaining a high level of accuracy of the final optimized model for national archival purposes which requires the highest form of quality.
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The fibres and technologies used in the production of 14 handmade paper samples of known provenance, collected during study tours to Nepal, Thailand and Japan in 1984, 1985 and 1988 illustrate the importance of the preparation process for the final quality of the paper. The detailed descriptions from field notes and observation of the time-consuming preparation process of the fibres from the Moraceae and Thymelaeaceae plant families in this article indicate the close connection between the preparation of the fibres and the technology used in the sheet formation and the drying process. A useful reference for known fibres, technology and prove¬nance, these 14 samples serve in comparative analyses as an identification key for the fibres and technology of unidentified Asian papers.
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