Reviewerly/exHarmony huggingface dataset:
REALIZATION OF THE REQUIREMENTS OF EUROPEAN CERTIFICATE IN PSYCHOLOGY IN PREPARING PRACTICAL PSYCHOLOGISTS IN UKRAINE

The article examines the experience of implementation of requirements of the «European Certificate in Psychology» in educational programs of Borys Grinchenko Kyiv University. The upgrade of educational programs is described in the context of unification with European standards for future psychologists training. Programmatic innovations designed to provide for necessary qualifications and competitiveness of future MA holders. Program consist of modules which include: compulsory subjects aimed at creating general and professional competences, optional subjects, different practices and the final student examination. The purpose of the article is to present the experience of practical implementation of educational and professional training program for practical psychologists as the first one in Ukraine that meets the requirements of EuroPsy. The method of proving the effectiveness of the Program was a statistical comparison of performance indicators and quality of students' knowledge conducted in 2016-2017 and 2018-2019 academic years. A comparative analysis of students' marks obtained during two academic years showed the effectiveness of the program. Estimates show a positive trend with the number of «excellent» and «good» marks increasing by 12.64% and 4.59% respectively, and «satisfactorily» marks decreasing by 8.05%. It was concluded that the main contributing factor in the improvement was the students' training in the program.
The Role of Philosophy in “Post-Truth” Times

The challenge to the “universal point of view” represented by the election of Donald Trump in 2016 is treated here as a challenge to the conception of “the open society” that many had adopted after the Second World War. Karl Popper’s influential modelling of democratic decision making on an idealised conception of the achievement of scientific consensus coincides with the polarisation of the “knowledge classes” from Trump’s “forgotten people”. A different conception of philosophy and its role in modern society is required as a non-scientistic alternative for reconciling the universal point of view with the views of the broader populace.
UCC Library: Research Data Service: Data Management Planning

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Generating Multi-Sentence Abstractive Summaries of Interleaved Texts

Interleaved texts, where posts belonging to different threads occur in one sequence, are a common occurrence, e.g., online chat conversations. To quickly obtain an overview of such texts, existing systems first disentangle the posts by threads and then extract summaries from those threads. The major issues with such systems are error propagation and non-fluent summary. To address those, we propose an end-to-end trainable hierarchical encoder-decoder system. We also introduce a novel hierarchical attention mechanism which combines three levels of information from an interleaved text, i.e, posts, phrases and words, and implicitly disentangles the threads. We evaluated the proposed system on multiple interleaved text datasets, and it out-performs a SOTA two-step system by 20-40%.
UCC Library: Research Data Service: Data Management Responsibilities & Resourcing

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Cross-Evaluation of Graph-Based Keyword Spotting in Handwritten Historical Documents

In contrast to statistical representations, graphs offer some inherent advantages when it comes to handwriting representation. That is, graphs are able to adapt their size and structure to the individual handwriting and represent binary relationships that might exist within the handwriting. We observe an increasing number of graph-based keyword spotting frameworks in the last years. In general, keyword spotting allows to retrieve instances of an arbitrary query in documents. It is common practice to optimise keyword spotting frameworks for each document individually, and thus, the overall generalisability remains somehow questionable. In this paper, we focus on this question by conducting a cross-evaluation experiment on four handwritten historical documents. We observe a direct relationship between parameter settings and the actual handwriting. We also propose different ensemble strategies that allow to keep up with individually optimised systems without a priori knowledge of a certain manuscript. Such a system can potentially be applied to new documents without prior optimisation.
Developing Socio Cultural-Based English Teaching Content Using Dick &amp; Carey Model

This research is designed in the form of research and development (R &amp; D). It aims to develop an English Textbook for Junior High School students based on Social - Cultural of Ngada Flores. The Textbook is designed to include the cultural scope of Ngada Flores in the teaching materials. The subject matter is theme-based, in which each unit consists of themes drawn from the culturalcoverageofNgadaFlores. The learning model used in this development is the Dick &amp; Carey model, this model has ten strategic steps that is; (1) identify the general objectives of the learning, (2) carry out the learning analysis (3) identify the input behavior and characteristics of the students (4) formulate the objectives of the work (5) develop the benchmark reference materials (6) develop the learning strategy (7) and selecting learning materials (8) designing and executing formative evaluations (9) revising learning materials and (10) designing and executing summative evaluations. The result of study, in general, the comments and suggestions from the content experts stated that the development product of socio cultural-based English textbook provided with pictures and illustration was sufficient, taking it from the correctness, comprehensiveness, and accuracy aspects. The explanation on the learning content was self-explanatory, adequate disclosure and congruent, and significance to the characteristics of SMP students. The students’ assessment and comments described that they were interested and appreciated this textbook development product due to its representative content description, organized, relevance with the local culture, using simple and familiar language with attractive pictures that enhanced their motivation and curiousity in learning individually or in group.
Assessment method for tumorous objects volume from brain MR images

The work is devoted to describe our automated technique of tumour and neoplasm volume assessment on brain MRI. First we proposed adaptive processing of dynamic local surroundings by estimating of local entropy. Secondly, the investigation of volume assessments directly is ground on the proposition to check extent of interdependency between adjacent slices. The overall approach uses double-criterion principle. The first one estimates cross correlation, the second one is based on Max-dependency principle. Obtained results prove consistency of the implemented approaches.
UCC Library: Research Data Service: Legal & Ethical Requirements

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3. From Radon to Leray

We discuss the influence of the Radon transform on multidimensional complex analysis. In the first turn, it is Leray’s construction of an universal multidimensional analogue of the Cauchy formula the Cauchy-Fantappie formula. It was extended by fundamental conceptions of analytic functionals, analytic duality, cohomology, and different complex versions of the Radon transform. In our exposition, the conception of the Cauchy-Radon transform plays an essential role. It is the result of the replacement of -function in the integrand of the Radon transform by a Cauchy kernel. It appears as a modification of the Radon transform for which the inversion formula is independent of the evenness of the dimension. This then gives new possibilities to consider analogs of the Radon transform in non-Euclidean situation.
Healthcare—Corda and Ethereum Hybrid Use Case

In this chapter, we will learn how an initial currency offering (ICO) through public Blockchain Ethereum can be used to pull investment from the market and how Corda can be used as a private permissioned ledger for transactions between parties. This chapter also comes with a sample project with a demonstration of attached images; this project can be downloaded by developers.
A representação do domínio da Ética em Organização do Conhecimento nas bases de dados Scopus e KO Literature

The studies on in Knowledge Organization are in constant development. An effective way of verifying their importance as a research subject is to examine their representation in databases. The present paper builds upon previous research developed by Martinez-Avila et al. (2015) and analyzes the literature on the topic that is indexed by two databases widely used in Library & Information Science: KO Literature and Scopus. Our search for the terms ethics and retrieved a total of 54 articles. Among the result we highlight the ISKO journal Knowledge Organization journal as the most frequent source and a group of 11 authors that stand out as the most productive ones. We also conducted a content analysis to identify the ethical values that are present in the corpus, the methodologies and theories that are used in the papers, and the main knowledge organization processes and tools of knowledge that object of research. In conclusion, we point out the KO Literature database as an effective database for the retrieval of documents on this topic, although still presenting some shortcomings.
Explainable Deep Learning for Analysing Brain Data

In this short abstract I will discuss recent directions where deep learning is used for analysing brain imaging data, both in the context of BCI and fMRI - summarizing steps taken by the BBCI team and co-workers. It is the nature of this short text that many pointers to research are given all of which show a high overlap to prior own contributions (this is not only unavoidable but intentional) or will touch upon ongoing unpublished respectively pre-published work.
Towards a community-endorsed data steward profession description for life science research - Poster: KSA

Poster presented at ELIXIR EXCELERATE All Hands meeting 2019 displaying a selection of knowledge, skills and abilities (KSAs) for Data Stewards in the Life Sciences. Special focus on responsibility areas, tasks, KSAs and learning objective matrix of Data Steward Type A, which is concerned with policies and procedures: a collection of responsibilities and activities related to FAIR data, compliance to scientific integrity, and institutional research data management policy.
Adding sheep to the spectrum of comparative psychology

Marino & Merskin's comprehensive review of cognitive complexity in sheep is a laudable and important contribution to comparative psychology.It is also valuable because it shows promising directions for future research on this neglected species.The relatively small number of neurons in the bovid cerebral cortex indicates that sheep cognitive performance on traditional measures of complex learning is limited.Nevertheless, the social and emotional complexity of sheep underscores the importance of further research into domains including personality and psychological well-being.
The Preference of Electronic, or Printed Materials Revisited

The paper presents results of the research dealing with students´preferences of electronic, or printed materials in 2019 at two intentionally selected higher education institutions in the Czech Republic: Faculty of Education (FE), University of Jan Evangelista Purkyne, Usti nad Labem, and Faculty of Informatics and Management (FIM), University of Hradec Kralove. Data were collected from 185 participants who were to fulfil the task within English for Specific Purposes – they searched for sentences containing selected grammar phenomena. Totally 8,140 sentences were collected and structured under ten types of electronic and printed sources (professional book, fiction long, fiction short, article, other source. Data were processed by Fisher’s exact test. The hypothesis expecting association between the type of institution and type of source was verified. FE students preferred printed books of long fiction (novels) but also used e-books, both of long fiction and on professional content, whereas FIM students exploited two types of sources only: e-articles and printed books relating to their profession and/or field of study.
Research on the Application of Network Platform in Cet-4 Teaching--Take Ismart Online Learning Platform as an example

With the rapid development of information technology, more and more teaching researchers and teachers begin to pay attention to the application of multimedia and network technology into college English teaching. With the research focuses on cet-4 teaching, this paper combines Ismart online teaching platform with traditional teaching and verifies the operability and effectiveness of this new teaching mode based on experiments and questionnaires.
A Study on Relationship of BDBA(Big Data Business Analytics) System and Supply Chain Management

Interest in and investment in Big Data is growing in the business and academia. The reason is that companies that use big data well and companies that do not use big data have different competitive advantage in the market. Recently, companies have been working on Big Data for business management. And utilization of big data is also done in supply chain management. In this study, this big data operation and analytics system is called BDBA system. Whether the value generated by the BDBA system influences the supply chain of the firm is the research question of this study. In order to solve these research question, a questionnaire survey was conducted for domestic manufacturing companies and the analysis was conducted based on the collected questionnaires. The following conclusions were obtained. Among the BDBA system factors, acquisition, storage, and application factors have positive effects on BDBA value creation. In addition, BDBA value creation has a positive impact on the Triple-A (agility, adaptability, and alignment) of the supply chain.
Sharing Documents with Share Buttons

In previous chapters, you saw how to implement documents on iOS and macOS to save data and share it across your apps. In this chapter, you’ll see another way to share data using the Share button so that you can dynamically share data from one app to another without using a document to store and share the data.
A Gossip-Based System for Fast Approximate Score Computation in Multinomial Bayesian Networks

In this paper, we present a system for fast approximate score computation, a fundamental task for score-based structure learning of multinomial Bayesian networks. Our work is motivated by the fact that exact score computation on large datasets is very time consuming. Our system enables approximate score computation on large datasets in an efficient and scalable manner with probabilistic error bounds on the statistics required for score computation. Our system has several novel features including gossip-based decentralized computation of statistics, lower resource consumption via a probabilistic approach of maintaining statistics, and effective distribution of tasks for score computation using hashing techniques. The demo will provide a real-time and interactive experience to a user on how our system employs the principle of gossiping and hashing techniques in a novel way for fast approximate score computation. The user will be able to control different aspects of our system's execution on a cluster with up to 32 nodes. The approximate scores output by our system can be then used by existing score-based structure learning algorithms.
Technology - Blog: BuzzWords

Are you feeling the love this Valentine's Day? If not, cuddle a puppy-esque robot, eat your emotions with vending-machine bread, or run away on a moving rectangle.
UCC Library: Research Data Service: Documentation, Metadata & Data Quality

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Online Recognition-by- Tracking with Deep Appearance and Facial Features in a Robotic Environment

In the past few years, the number of robots being deployed in society has been continuously increasing. Robots are coming to family houses as personal assistants in domestic tasks and entertainers (e.g. toys) as well as in elderly care, handicap assistance, and nursing centers. The new generation of service robots have now to interact with humans in uncertain environments. For this, the robot needs to localize, engage and identify the target subject. The identification of the target could be done in different ways. Image-based face recognition is one example. It is a well-studied problem and state-of-the-art solutions achieve remarkable performance. However, most of the proposed solutions are not adapted to the robot environment. In this work, we explore a new approach to the problem of online person recognition. We present the Recognition-by-Tracking framework that uses pedestrian tracking in order to accumulate evidence about the face identities what leads to more accurate predictions.
Unique Identification of Researchers with ORCID

Unique Identification of Researchers with was presented by Laurel Haak (ORCID) and Nabil Ksibi (ORCID) on April 11, 2019 at the ORCID Izmir Workshop in Istanbul, Turkey.
Uniquely Identifying Collectors of Specimens

Being able to connect together the specimens collected and determined by a person is key to understanding the origins, history, identity and ownership of a collection. Yet making these connections is difficult because people’s names change, are not unique and are written in many different ways. Semantic annotation of people names with stable identifiers is a solution to this problem. Semantic annotation requires the linking of textual information to unique identities for known entities. This often needs to be done manually and can be time-consuming and error-prone. We have been linking person text strings to persistent identifiers of various kinds. We focused on the semantic annotation of people names mentioned on specimen labels, particularly the collectors, but also determiners of the specimen. Various person identifiers systems exist and they vary in their scope, their business model and their notability requirements. We have chosen, where possible, to link to several systems, because we feel this creates a more robust system, that does not rely on the maintenance of any single identifier system. Currently, we are using Virtual International Authority File (VIAF) identifiers that are particularly useful for published authors. The Harvard University Index of Botanists has information on well known botanists and ORCID IDs are useful for living collectors. However, even with all these various identifiers systems, there are many collectors of whom we know little, particularly where they have not published or done something notable other than collect specimens. For many of these collectors Wikidata is a solution, because it can be edited by anyone and because it has a low threshold for notability. Wikidata also has the additional advantage of forming a bridge between many identifier systems. Hence, we incorporated Wikidata entries as well if available and endeavoured to merge existing duplicates wherever we could. In this process, we have examined the coverage, scope and reliability of these different systems for identifying collectors and determiners. We also advise on strategies for linking collectors to their identifiers efficiently. Linking specimens to clearly identified people has enormous advantages for specimen data curation and linking between different collections. We encourage every collection to prioritize this.
Greek Libraries Network Purpose, goals, vision. The audience development in libraries through educational programs for children

Purpose – Abstract: Purpose - In 2015 the National Library of Greece took over the Greek Libraries Network to support the efforts of academic, research, public, municipal and school libraries in the country to develop and advance the services they offer to the public. The main objective is to make this network a center of knowledge diffusion, networking and professional communication among its members as well as making libraries hubs of creativity for everyone. Design/methodology/approach - The existence of this network gives each member-library the ability to multiply its users, since the users of each library are members of the entire network. The actions of the Greek Libraries Network aim at audience development in the libraries, with a special focus on children, in order to create a new generation of readers.Findings - The proposed educational programs promote reading through specific themes and books. Through specially designed workshops children can experience the library as a space that offers innumerable opportunities for education and creativity. Originality/value - In this endeavor, the National Library of Greece stands shoulder to shoulder by visiting the natural spaces of each member-library of the Greek Libraries Network, heeding their needs and concerns, but also getting feedback and new ideas for the improvement of its services.
Hyper/Actual Immersiveness Scale to Evaluate Experiences in Mixed Reality Using Design Thinking

Mixed Reality (MR) has steadily proliferated to become one of the most trending technologies now. In order to maintain this progressive momentum, delivering highest degrees of immersion is key. Continuous experimentation helps get there but it must be accompanied by an effective evaluation process. Many researchers have developed subjective and objective methods to measure immersion and presence in MR, but most use fixed analysis criteria. In this paper we introduce a new method that is user-driven, not researcher-driven, that adapts to the varying cognitive and physical states people go through in MR. It utilizes Empathy Maps to capture feelings, thoughts, actions and verbal expressions from a first-person perspective. We also introduce an experience continuum to score those states based on how artificial or realistic they felt.
UCC Library: Research Data Service: Data sharing & Long-term Preservation

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PARTHENOS D3.2 Guidelines for Common Policies Implementation (Final)

The document presents the final definition of PARTHENOS high-level principles, offered as common guidelines to build bridges between different, although tightly interrelated fields and stakeholders within the Humanities by the harmonization of policy definition and their implementation.All PARTHENOS deliverables are available at: http://www.parthenos-project.eu/resources/projects-deliverables
A novel scheduling algorithm for data-intensive workflow in virtualised clouds

In cloud platforms, workflow applications have been widely used to solve the complicated problems, which often need to process a large volume of data. However, the characteristic of data-intensive for these applications are easily to result in low execution efficiency due to networking traffic or congestion. In this paper, we present a workflow scheduling algorithm which is capable of minimising the cost of networking communication and therefore improving the execution efficiency of those workflow applications. Extensive experiments are conducted on some real-world workflows to examine the performance of the proposed algorithm, and the results show that it can significantly reduce the communication cost and improve the execution efficiency of data-intensive workflows comparing with existing algorithms.
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