Reviewerly/exHarmony huggingface dataset:
Data Librarian and Data Steward – New Tasks and Responsibilities of Academic Libraries in the Context of Open Research Data Implementation in Poland

Thesis/Objective – The policy of Open Access (OA) for researching resources in Europe has been implemented for more than 10 years. The first recommendations concerning providing OA to scientific materials were defined during the implementation of the 7th Framework Programme. Introducing another set of recommendations concerning OA to research data was the next stage. The recommendations were transformed into obligations under the Horizon 2020 Programme. In 2018, research-funding institutions were associated in the Plan S document issued by CoalitionS ,which aims to accelerate the transition to full and immediate OA to publications from publicly funded research until January 2021. Academic libraries have always been pioneers in implementing OA to research, creating the necessary tools (platforms and repositories), and preparing training workshops for researchers. OA policy implementation, including both access to research resources and data, is accelerating. That is why the role of academic libraries and academic librarians has become crucial. The article presents how library services and the scope of tasks of their employees change in connection with the introduction of open access policies for research data in Poland. Research methods – A critical review of the literature was used to analyse the content of foreign and Polish LIS literature published in the years 2009-2019. In addition, official documents issued by the European Commission were analysed, as well as websites devoted to Open Research Data (ORD). Results and conclusions – Some new specialisations in librarianship have been introduced – e.g. a data librarian who is responsible not only for academic staff training sessions on Open Research Data, but also for assistance for research teams in the field of data management and data curation. In the future, academic libraries will be responsible for coordinating the work of data stewards responsible for supporting the process of research data creating and managing at university departments and in research teams.
To cut or to fill

We present a novel algorithm for simplifying the topology of a 3D shape, which is characterized by the number of connected components, handles, and cavities. Existing methods either limit their modifications to be only cutting or only filling, or take a heuristic approach to decide where to cut or fill. We consider the problem of finding a globally optimal set of cuts and fills that achieve the simplest topology while minimizing geometric changes. We show that the problem can be formulated as graph labelling, and we solve it by a transformation to the Node-Weighted Steiner Tree problem. When tested on examples with varying levels of topological complexity, the algorithm shows notable improvement over existing simplification methods in both topological simplicity and geometric distortions.
Pengembangan Website Informasi Sekolah di SMP Negeri 2 Kalimanah, Purbalingga

Sekolah Menengah Pertama Negeri (SMP N) 2 Kalimanah is a secondary school located in the Kalimanah area, Purbalingga, Central Java. Based on observations and interviews that have been conducted, there are problems at the school, namely regarding the promotion and dissemination of information outside the school which is still lacking because at this time it is only focused on posters and wall magazines. The solution that can be given at SMP N 2 Kalimanah is to create a school information website that specifically displays information for SMP N 2 Kalimanah. With the website, the school can connect more easily with parties outside the school because the website can be accessed by everyone anywhere and anytime as long as it is connected to an internet connection. The service activities are divided into several stages, namely need assessment, application implementation, presentation and website training to teachers, as well as simulation and testing. The result of this activity is a school information website at SMP N 2 Kalimanah that can display news, photos, and activities in the school environment to the wider community. In addition, based on the tests that have been carried out, 95% of respondents stated that the school information website had succeeded in solving the problems of promotion and news delivery at SMP N 2 Kalimanah.&#x0D; &#x0D;
Efficient Optical Measurement of Welding Studs With Normal Maps and Convolutional Neural Network

Studs are small screws welded on a car's body. Measuring the key point positions of the studs within production cycle time, also known as online measurement, is crucial for the quality management of the cars. However, the existing stud measuring systems can only measure one stud in a camera position, which is not efficient enough for online measurement. Accurately measuring multiple studs in one camera position is still a challenge. In this article, we propose a stud online measuring system (SOMS), which can measure multiple studs with high accuracy based on photometric stereo and deep learning techniques. To achieve accurate measurements, the SOMS uses normal maps, which are obtained by photometric stereo. Conventional photometric-stereo-based inspection methods reconstruct the surface from the normal maps; however, the reconstruction is inaccurate when the object has a large depth variation range. Instead of reconstruction, the SMOS directly uses a convolutional neural network (CNN) to localize the key points of studs from the normal maps. To adapt CNN to normal map input, we proposed a fusion block which extracts the most significant features among three dimensions of the normal maps. A test based on a collection of different types of studs was conducted to evaluate the advantage of the SOMS. Our system outperformed benchmarks in a series of experiments. Because the SOMS was developed without any prior knowledge on the geometry of the stud, it also has the potential for other optical challenging geometric features' online measurements.
Gadget-Based iNTRU Lattice Trapdoors

We present two new related families of lattice trapdoors based on the inhomogeneous NTRU problem (iNTRU) defined in Genise et al. [16] (ASIACRYPT 2019). Our constructions are “gadget-based” and offer compact secret keys and preimages and compatibility with existing, efficient preimage sampling algorithms. Our trapdoors can be used as a fundamental building block in lattice-based schemes relying lattice trapdoors. In addition, we implemented our trapdoors using the PALISADE library.
Private Decision Tree Evaluation with Constant Rounds via (Only) SS-3PC over Ring

Secure computation is the technology that computes an arbitrary function represented as a circuit without revealing input values. Typical technologies related to secure computation are secure multiparty computation (MPC) that uses secret sharing (SS) schemes, for example, SS-MPC, garbled circuit (GC), and homomorphic encryption (HE). These cryptographic technologies have a trade-off relationship with respect to the computation cost, communication cost, and type of computable circuit. Hence, the optimal choice depends on the computing resources, communication environment, and function related to applications. The private decision tree evaluation (PDTE) is one of important applications of secure computation. There exist several PDTE protocols with constant communication rounds that use GC, HE, and SS-MPC over the field. However, to the best of our knowledge, PDTE protocols with constant communication rounds that use SS-MPC over the ring (requiring only lower computation costs and communication complexity) is non-trivial and still missing. In this paper, we propose a PDTE protocol that uses a secure three-party computation (3PC) protocol over the ring with one corruption.
Akmedoids R package for generating directionally-homogeneous clusters of longitudinal data sets

Adepeju et al., (2020). Akmedoids R package for generating directionally-homogeneous clusters of longitudinal data sets. Journal of Open Source Software, 5(56), 2379, https://doi.org/10.21105/joss.02379
A library at the touch of a finger-tip: an analysis of mobile library services at the University of the West Indies, Mona campus

Purpose The purpose of this paper is to assess the state of mobile library services available for students’ information needs at the University of the West Indies, Mona Campus. In addition, this study will determine the extent to which mobile services has helped the Mona libraries to have greater reach to students. Design/methodology/approach Surveys and content analysis were used to collect data. A comparative content analysis was used to highlight the strides made in mobile library services in universities across the world vis-à-vis the current reality in the Caribbean, specifically Jamaica. Findings The findings identified that there is a proliferation of mobile and internet users among university and college students and they are heavily using their devices for the furtherance of their educational attainment. Additionally, the findings indicated that libraries in the academic realm can benefit greatly from allowing their content to be accessible through these mobile devices, as it would also help with greater usage. Furthermore, this service is guaranteed greater support the distance programmes offered by these universities. Research limitations/implications This study will focus on assessing the state of mobile library services offered at the University of the West Indies, Mona Jamaica. This study will also determine the extent to which mobile services can help libraries to have greater reach to students and provide best practices for academic libraries implementing mobile service offerings to clients. This study will not attest to the financial feasibility of academic institutions to start such a programme. Practical implications The research excavated that the University of the West Indies, Mona Campus, along with other academic libraries in the Caribbean are all not fully offering mobile library services to all their users. In addition, with the rise of technology and the proliferation of cell phones and other mobile devices, students (distance and onsite) expect a service that allows them greater access to the offerings of the university and their libraries. Originality/value This is the premier investigation of its kind into how the University of the West Indies Mona Campus has responded to the mobile library environment. The value of this research is in helping academic and university libraries in the Jamaica to identify the importance of leveraging the benefits of the dynamic technological era, allowing greater and wider reach through mobile library services proliferation and access to services. In addition, this study showed that academic libraries need to enhance services in a bid to provide greater support the teaching component of the university or college they serve.
Efficient trade-offs as explanations in functional linguistics: some problems and an alternative proposal

The notion of efficient trade-offs is frequently used in functional linguistics in order to explain language use and structure. In this paper I argue that this notion is more confusing than enlightening. Not every negative correlation between parameters represents a real trade-off. Moreover, trade-offs are usually reported between pairs of variables, without taking into account the role of other factors. These and other theoretical issues are illustrated in a case study of linguistic cues used in expressing “who did what to whom”: case marking, rigid word order and medial verb position. The data are taken from the Universal Dependencies corpora in 30 languages and annotated corpora of online news from the Leipzig Corpora collection. We find that not all cues are correlated negatively, which questions the assumption of language as a zero-sum game. Moreover, the correlations between pairs of variables change when we incorporate the third variable. Finally, the relationships between the variables are not always bidirectional. The study also presents a causal model, which can serve as a more appropriate alternative to trade-offs.
Conceptual foundations of higher education in the digital economy

In the paper the authors identified seven key conceptual foundations of higher education based on the analysis of organizational and substantive features of networking, digitalization and on-lineization process of the Russian education system (NDORES), as a continuation of e-Learning development in the digital educational environment (DEE) and the results of the assessment of the Russian higher education readiness to the digital economy, obtained by N.V. Dneprovskoy. These include conceptual condition for the recognition of the leading role of the DEE in the system of science - culture - learner - intelligence for education subjects reflection development in human-machine systems and information society; optimization of continuous education concept on the basis of NDORES principles; directive change of educational process (EP) stereotypes in DEE; creation of a system of mandatory training and retraining of education subjects for daily learning and teaching activities in DEE; optimization, adaptation and digital transformation of the content of the main professional educational programs (MPEP) of training in the framework of existing and future Federal state educational standards of higher education (FSES HO); determination of effective motivational and value bases for communicative competence development of education the subjects in NDORES; changing legislative and policy approaches to the organization of NDORES, including provisions of the Labour code of the Russian Federation in the part concerning the rights and responsibilities of teachers carrying out their work in the context of DEE. The paper substantiates the demand for these conceptual foundations in the strategic and tactical directions of digitalization of higher education in the digital economy.
Peruvian students in pandemic: Digital gap and what is done from engineering programs?

This article addresses the situation of students in the current crisis about coronavirus pandemic, in which they have had to migrate from face-to-face academic processes to virtual or assisted academic processes from digital approach. In this sense, the study explores a series of variables on the new ways of developing the teaching-learning process and identifies the pedagogical, methodological, digital and infrastructure gaps that limit the academic process under the new conditions. In the same way, a comparison is carried out with engineering students, identifying their specificities according to the general characteristics. The research ends with a discussion about the role of technology in engineering education.
Efficient entanglement generation and detection of generalized stabilizer states

The generation and verification of large-scale entanglement are essential to the development of quantum technologies. In this paper, we present an efficient scheme to generate genuine multipartite entanglement of a large number of qubits by using the Heisenberg interaction. This method can be conveniently implemented in various physical platforms, including superconducting, trapped-ion, and cold-atom systems. In order to characterize the entanglement of the output quantum state, we generalize the stabilizer formalism and develop an entanglement witness method. In particular, we design a generic searching algorithm to optimize entanglement witness with a minimal number of measurement settings under a given noise level. From the perspective of practical applications, we numerically study the trade-off between the experiment efficiency and the detection robustness.
Blockchain Challenges in Maritime Industry: An Empirical Investigation of the Willingness and the Main Drivers of Adoption by the Hellenic Shipping Industry

In the shipping industry, significant part of the documents exchange still have the traditional paper form, mainly due to security concerns, despite the size and modernization efforts of this market.We explore the adoption of the blockchain and Distributed Ledger Technologies to address document exchange in a fast and secure way.
An Effective Bi-LSTM Word Embedding System for Analysis and Identification of Language in Code-Mixed social Media Text in English and Roman Hindi

The paper describes the application of the code mixed index in Indian social media texts and comparing the complexity to identify language at word level using BLSTM neural model. In Natural Language Processing one of the imperative and relatively less mature areas is a transliteration. During transliteration, issues like language identification, script specification, missing sounds arise in code mixed data. Social media platforms are now widely used by people to express their opinion or interest. The language used by the users in social media nowadays is Code-mixed text, i.e., mixing of two or more languages. In code-mixed data, one language will be written using another language script. So to process such code-mixed text, identification of language used in each word is important for language processing. The major contribution of the work is to propose a technique for identifying the language of Hindi-English code-mixed data used in three social media platforms namely, Facebook, Twitter, and WhatsApp. We propose a deep learning framework based on cBoW and Skip gram model for language identification in code mixed data. Popular word embedding features were used for the representation of each word. Many researches have been recently done in the field of language identification, but word level language identification in the transliterated environment is a current research issue in code mixed data. We have implemented a deep learning model based on BLSTM that predicts the origin of the word from language perspective in the sequence based on the specific words that have come before it in the sequence. The multichannel neural networks combining CNN and BLSTM for word level language identification of code-mixed data where English and Hindi roman transliteration has been used. Combining this with a cBoW and Skip gram for evaluation. The proposed system BLSTM context capture module gives better accuracy for word embedding model as compared to character embedding evaluated on our two testing sets. The problem is modeled collectively with the deep-learning design. We tend to gift an in-depth empirical analysis of the proposed methodology against standard approaches for language identification.
<b>Bridging the <i>“gApp”</i>: improving neural machine translation systems for multiword expression detection</b>

Abstract The present research introduces the tool gApp , a Python-based text preprocessing system for the automatic identification and conversion of discontinuous multiword expressions (MWEs) into their continuous form in order to enhance neural machine translation (NMT). To this end, an experiment with semi-fixed verb–noun idiomatic combinations (VNICs) will be carried out in order to evaluate to what extent gApp can optimise the performance of the two main free open-source NMT systems —Google Translate and DeepL— under the challenge of MWE discontinuity in the Spanish into English directionality. In the light of our promising results, the study concludes with suggestions on how to further optimise MWE-aware NMT systems.
Query expansion with artificially generated texts

A well-known way to improve the performance of document retrieval is to expand the user's query. Several approaches have been proposed in the literature, and some of them are considered as yielding state-of-the-art results in IR. In this paper, we explore the use of text generation to automatically expand the queries. We rely on a well-known neural generative model, GPT-2, that comes with pre-trained models for English but can also be fine-tuned on specific corpora. Through different experiments, we show that text generation is a very effective way to improve the performance of an IR system, with a large margin (+10% MAP gains), and that it outperforms strong baselines also relying on query expansion (LM+RM3). This conceptually simple approach can easily be implemented on any IR system thanks to the availability of GPT code and models.
Prospective areas of didactic research: А problem statement.

Introduction. Current educational practice largely functions independently of didactics: decisions on the selection of content, the methods and forms of instruction are often made at different levels and in different areas of education without a conceptual substantiation. This does not necessarily mean the educators’ lack of knowledge, it rather points at the urgency of updating didactic research, including objects and phenomena that are relevant and have not been extensively studied yet. The aim of the present publication is to pose relevant problems of didactic research, based on the challenges rooted in the development of educational practice. Methodology and research methods. This research is based on systemic, interdisciplinary, and anthropological approaches. Research methods include analysis, synthesis, systematisation, modelling, idealisation, forecasting. Results. The authors state the need to expand the range of issues covered by didactic research. Additionally, the authors highlighted didactic research problems related to learning across all levels of the educational ladder, to a wide range of contexts of educational practice: psychological and didactic characteristics of a modern agent of learning; didactic foundations for the selection of educational content in the context of the transformation of the educational environment of the digital era; the expansion of conceptual and terminological toolbox of didactics; contextual features of didactic principles in diverse areas of educational practice; didactical aims and functions of non-traditional learning formats; didactic foundations and the range of the teacher’s roles in various learning formats; the development of didactics for teacher training. The directions of promising didactic research are identified. The authors conclude the necessity for broadening research area to cover problems facing didactics: inclusion of phenomena and processes that were left out of the scope of traditional didactic research; enhancing the role of interdisciplinary research on learning, enhancing the versatility of didactic concepts and their scientific validity; a didactic study of specific innovative educational practices, identifying the feasibility and possibilities of their dissemination in different areas of education. Scientific novelty . The article describes educational practices, which are not covered by didactic studies. The authors identify and present conceptual gaps, which challenge didactics to expand and enrich its conceptual toolkit. Several paradoxes are highlighted as conceptual contradictions, which indicate the gaps in modern didactic knowledge: paradoxes of the learning actor, of learning outcomes, of teacher expertise. These paradoxes prompt to update didactics as the theory of education. Practical significance . The development of didactics in the areas considered in the article will make it possible to improve the educational process on a theoretically verified basis, enhance opportunities, to reduce the risks, and to increase the effectiveness of innovations.