bluuebunny/crossref_metadata_2025_split huggingface dataset:
Personal Identification Based on Brain Networks of EEG Signals
Authors: Kong Wanzeng , Jiang Bei , Fan Qiaonan , Zhu Li , Wei Xuehui 
Published: January 2019

Abstract
Personal identification is particularly important in information security. There are numerous advantages of using electroencephalogram (EEG) signals for personal identification, such as uniqueness and anti-deceptiveness. Currently, many researchers focus on single-dataset personal identification, instead of the cross-dataset. In this paper, we propose a method for cross-dataset personal identification based on a brain network of EEG signals. First, brain functional networks are constructed from the phase synchronization values between EEG channels. Then, some attributes of the brain networks including the degree of a node, the clustering coefficient and global efficiency are computed to form a new feature vector. Lastly, we utilize linear discriminant analysis (LDA) to classify the extracted features for personal identification. The performance of the method is quantitatively evaluated on four datasets involving different cognitive tasks: (i) a four-class motor imagery task dataset in BCI Competition IV (2008), (ii) a two-class motor imagery dataset in the BNCI Horizon 2020 project, (iii) a neuromarketing dataset recorded by our laboratory, (iv) a fatigue driving dataset recorded by our laboratory. Empirical results of this paper show that the average identification accuracy of each data set was higher than 0.95 and the best one achieved was 0.99, indicating a promising application in personal identification.
Clustering Based on Eigenvectors of the Adjacency Matrix
Authors: Lucińska Małgorzata , Wierzchoń Sławomir T. 
Published: January 2019

Abstract
The paper presents a novel spectral algorithm EVSA (eigenvector structure analysis), which uses eigenvalues and eigenvectors of the adjacency matrix in order to discover clusters. Based on matrix perturbation theory and properties of graph spectra we show that the adjacency matrix can be more suitable for partitioning than other Laplacian matrices. The main problem concerning the use of the adjacency matrix is the selection of the appropriate eigenvectors. We thus propose an approach based on analysis of the adjacency matrix spectrum and eigenvector pairwise correlations. Formulated rules and heuristics allow choosing the right eigenvectors representing clusters, i.e., automatically establishing the number of groups. The algorithm requires only one parameter-the number of nearest neighbors. Unlike many other spectral methods, our solution does not need an additional clustering algorithm for final partitioning. We evaluate the proposed approach using real-world datasets of different sizes. Its performance is competitive to other both standard and new solutions, which require the number of clusters to be given as an input parameter.
A Case Study in Text Mining of Discussion Forum Posts: Classification with Bag of Words and Global Vectors
Authors: Cichosz Paweł 
Published: January 2019

AbstractDespite the rapid growth of other types of social media, Internet discussion forums remain a highly popular communication channel and a useful source of text data for analyzing user interests and sentiments. Being suited to richer, deeper, and longer discussions than microblogging services, they particularly well reflect topics of long-term, persisting involvement and areas of specialized knowledge or experience. Discovering and characterizing such topics and areas by text mining algorithms is therefore an interesting and useful research direction. This work presents a case study in which selected classification algorithms are applied to posts from a Polish discussion forum devoted to psychoactive substances received from home-grown plants, such as hashish or marijuana. The utility of two different vector text representations is examined: the simple bag of words representation and the more refined embedded global vectors one. While the former is found to work well for the multinomial naive Bayes algorithm, the latter turns out more useful for other classification algorithms: logistic regression, SVMs, and random forests. The obtained results suggest that post-classification can be applied for measuring publication intensity of particular topics and, in the case of forums related to psychoactive substances, for monitoring the risk of drug-related crime.
Optimization on the Complementation Procedure Towards Efficient Implementation of the Index Generation Function
Authors: Borowik Grzegorz 
Published: January 2019

Abstract
In the era of big data, solutions are desired that would be capable of efficient data reduction. This paper presents a summary of research on an algorithm for complementation of a Boolean function which is fundamental for logic synthesis and data mining. Successively, the existing problems and their proposed solutions are examined, including the analysis of current implementations of the algorithm. Then, methods to speed up the computation process and efficient parallel implementation of the algorithm are shown; they include optimization of data representation, recursive decomposition, merging, and removal of redundant data. Besides the discussion of computational complexity, the paper compares the processing times of the proposed solution with those for the well-known analysis and data mining systems. Although the presented idea is focused on searching for all possible solutions, it can be restricted to finding just those of the smallest size. Both approaches are of great application potential, including proving mathematical theorems, logic synthesis, especially index generation functions, or data processing and mining such as feature selection, data discretization, rule generation, etc. The problem considered is NP-hard, and it is easy to point to examples that are not solvable within the expected amount of time. However, the solution allows the barrier of computations to be moved one step further. For example, the unique algorithm can calculate, as the only one at the moment, all minimal sets of features for few standard benchmarks. Unlike many existing methods, the algorithm additionally works with undetermined values. The result of this research is an easily extendable experimental software that is the fastest among the tested solutions and the data mining systems.
Enhanced Local Ionosphere Model for Multi-Constellations Single Frequency Precise Point Positioning Applications: Egyptian Case Study
Authors: El Manaily Emad , Abd Rabbou Mahmoud , El-Shazly Adel , Baraka Moustafa 
Published: January 2019

Abstract
The positioning accuracy of single frequency precise point positioning (SFPPP) attributes mainly to the ionosphere error, which strongly affects GNSS signals. When GNSS signals pass through the various ionosphere layers, they will be bent and their speed will be changed due to dispersive nature of ionosphere. To correct the ionosphere error, it is common to use Klobuchar ionosphere model or Global Ionosphere Maps (GIM). However, Klobuchar can deal with only about 50% of the Ionosphere effect and global Ionosphere maps are often inadequate to describe detailed features of local ionosphere because of limited precision and resolution. In this paper, an enhanced local ionosphere model was developed relying on modeling of measurements from a dense Egyptian permanent tracking GNSS network in order to achieve high precision ionosphere delay correction. The performance of the developed enhanced Egyptian ionosphere model (EIM) was verified through multi-constellations SFPPP accuracy for static and kinematic modes. For static mode, 24 hours multi-constellations datasets collected at three selected stations, Alexandria, Cairo, and Aswan, in Egypt on February 27, 2017, to investigate the performance of the developed local ionospheric model in comparison with the Klobuchar, GIM and ionosphere free models. After session time of half an hour, the results show that the performance of static SFPPP based on the developed Egyptian ionospheric map (EIM) achieved a comparable accuracy WRT using ionosphere free model. While using EIM, achieved an improvements of (38%, 28%, and 42%) and (32%, 10%, and 37%) for accuracy of latitude, longitude, and altitude in comparison with using Klobuchar and GIM models, respectively For kinematic mode, datasets of 2 hours of observations with 1 second sampling rate were logged during vehicular test; the test was carried out on the ring road of the city of Cairo, Egypt, on September 16, 2017. After half an hour of kinematic SFPPP data-processing, the performance of using Egyptian ionospheric map (EIM) for ionosphere delay correction, achieved an improvements of three dimension coordinates of (83%, 47%, and 62%) and (57%, 65%, and 21%) with respect to using Klobuchar model and GIM model, respectively.
Sustainability Education Using ICT-Supported Dialogue – Towards Transforming Adolescents’ Perceptions of Alcohol in the Punjab, India
Authors: Roy Amit , Ikonen Risto , Kumar Kuldeep , Keinonen Tuula 
Published: January 2019

Abstract
A potential health crisis looms large in the Punjab, India where alcohol consumption has risen dramatically. Adolescents are especially vulnerable to the toxic effects of alcohol. This empirical study presents a pedagogical intervention, Children as Agents of Social Change (CASC), which aimed to raise awareness about the effects of alcohol using an ICT-supported educational dialogue among adolescent students and alcohol-experts from multiple domains. Primary data consists of pre- and post-test questionnaires from the control and experimental groups (N=379) and an interview of the teacher-in-charge of one experimental school. Results indicate that the intervention significantly improved students’ scientific knowledge about alcohol; changed their attitudes towards media and celebrity promotion of alcohol; and enabled them to surmount the odds to spread information - acquired during the CASC intervention- to people outside the school, including adult drinkers. Learner-centric pedagogy combined with ICT clearly amplified transformative learning. CASC appears to be a promising approach in Education for Sustainable Development (ESD). It can be used for multiple sustainability issues.
Embracing the Culture of Resilience and Remembrance in Teaching Contested Historical Narratives
Authors: Franzenburg Geert , Iliško Dzintra , Verkest Hugo 
Published: January 2019

Abstract
The article focuses on a discourse of resilience and remembering and its interconnectedness in teaching contested historical narratives. History mainly consists of events, remembrance, narratives, rituals, discourses, and stereotypes which can facilitate or prevent resilience. Since such purposes are part of religious and values education, a multidimensional approach is needed, which combines historical, psychological, religious, sociological, educational and literary aspects in a kind of ‘grammar of remembrance’, in order to motivate and facilitate autonomous and supervised research with discussions and sharing of experiences in different projects. The aim of this conceptual study is to facilitate interdisciplinary research and educational projects concerning memory cultures and conflict management.
International Exchange of Ideas in Student-Interactive Videoconferences – Sustainable Communication for Developing Intercultural Understanding with Student Teachers
Authors: Sundh Stellan 
Published: January 2019

Abstract
International communication with different digital tools is now established both at universities and in other contexts worldwide. It is therefore relevant to describe how one of these tools is used in higher education. In the present study the focus is on seminars carried out in student-interactive video-conferences on didactic and pedagogical issues with student teachers. The participants were international and Swedish student teachers at the Department of Education at a Swedish university and at two different campuses. The results are based on analyses of the students’ written reports completed after the seminars and show that the interactive video-conference is useful to establish contacts between students in different places and to develop intercultural understanding of school-related matters. The video-conference is thus a way to work with internationalization in a sustainable way in teacher education, giving opportunities for the exchange of ideas and experiences both at personal and professional levels without mobility.
Traditional and Technological Methods for Raising Pre-school Children’s Awareness of Environmental Pollution for Sustainability
Authors: Kabadayi Abdulkadir , Altinsoy Fatma 
Published: January 2019

Abstract
In the preschool period children develop rapidly in cognitive, social-emotional, physical, psycho-motor, language, and aesthetic areas. In this period, besides basic habits and skills, it is important for children to gain environmental awareness. Research shows that children are mostly affected by environmental problems. Yet, living in a clean and healthy world is a basic necessity for children. For this reason, it is possible that children can show a healthy development in all developmental areas and create a healthy future by establishing ecological balance through gaining environmental awareness during the preschool period for sustainability. Science and nature activities in the preschool education program play an important role in creating an environmental awareness of the children in this period as they include activities to acquire environmental awareness and provide important contributions to helping children gain environmental awareness for sustainability. The present study was conducted using a total of 80 students attending pre-school institutions in Konya province. The environmental pollution awareness scale was used as pre - test and post - test prepared by the researchers. The data was analyzed via the SPSS 18 program. As the post test scores of preschool students revealed, there was a significant difference for the experimental group with regard to environmental pollution awareness.
Is the Partnership Governance Able to Promote Endogenous Rural Development? A Preliminary Assessment Under the Adaptive Co-Management Approach
Authors: Pappalardo Gioacchino , Sisto Roberta , Pecorino Biagio 
Published: January 2019

Abstract
Ever increasingly more, all the actors directly or indirectly involved in the planning processes express the need to know the effects deriving from the implementation of rural development policy. In this direction, evaluation can make an important contribution, fostering the development of a ‘good policy’ as underlined by EU regulations. Among the specific evaluation questions developed by the Common Monitoring and Evaluation Framework, one of them relates to the improvement of governance. Considering the Adaptive Co-Management (ACM) approach’s capacity as a proxy of the quality of network governance, the study aims to propose the ACM theoretical framework as a suitable model with which to study the social interactions between actors in the smallest unit of the LEADER process (i.e., the local action group’s (LAG’s) partnership governance). The proposed methodology is subsequently tested on a specific case study through the evaluation of the partnership governance of two case studies in the South of Italy. The empirical evidence supports the idea that ACM approach may represent a new model to assess the quality of the implementation process of the LEADER Programme. In addition, the ACM approach can lead to a new organizational and self-evaluation model of LAGs which places an emphasis on the importance of the relational process among its members.
Land Withdrawal Vs. Regional Development: Does Withdrawal of Agricultural Land Lead to Increase in Entrepreneurial Activity and Generate Positive Spatial Spillovers? (Slovak Republic)
Authors: Melichová Katarína , Melišková Ina , Palšová Lucia 
Published: January 2019

Abstract
In an increasingly urbanized world, the scarcity of space is a growing problem along with land consumption and soil sealing. To achieve sustainable development and sustainable land use, society has to resolve conflicts between residential, industrial, transport, commercial and green areas while creating a balance between social, economic and ecological targets. However, coordination of sustainable land use is a challenge for policymakers. The paper examines whether the withdrawal of land from the agricultural land fund leads to development, measured both by the increase in domestic entrepreneurial activity, as well as by the increase in foreign direct investments. The results are based on the analysis of panel data on the amount of land withdrawal, newly established firms and inward flow of FDI covering 41 administrative districts of Slovak Republic over 9 years (6 years in case of the FDI, due to the availability of data). Additionally, the spatial Durbin panel model was used to examine, whether land withdrawal and its non-agricultural use generate positive spillover effects on surrounding regions in terms of increased entrepreneurial activity and flow of FDI.
Cultural Heritage and Wind Turbines – A Method to Reduce Conflicts in Landscape Planning and Management: Studies in the German Ore Mountains
Authors: Wieduwilt Patrick , Wirth Peter 
Published: January 2019

Abstract
Landscape policy, management and planning can be interpreted as involving a dualism of conservation and transformation goals. Serious conflicts can emerge when conservation and development goals are contradictory. This paper reflects on the goal conflict between the establishment of a world heritage destination with 39 individual elements and the development of wind power facilities in the German Ore Mountains. In order to meet these challenges, the authors created a GIS-based so-called “Multiple-Visual-Link Method”. By calculating viewsheds with a tailor-made GIS application and defining distance zones (short, middle, long), the user is able to estimate the visual relations between the two types of subjects in a bigger area with a favorable cost-benefit relation. The compact algorithmic approach leads to solid results which can be translated into planning recommendations. There is also potential for it to be applied to similar goal conflicts.
Improving energy efficiency and building a low-emission economy based on example of Lesser Poland Voivodeship
Authors: Komorowska Aleksandra , Mirowski Tomasz 
Published: January 2019

Abstract
Improving energy efficiency and building a low-emission economy are fundamental elements of sustainable development. The concept is based on a rational-energy economy and is aimed at limiting the negative consequence of the impact of energy on the environment. The main purpose of the paper is to assess the application of activities for both improving energy efficiency and building a low-emission economy, undertaken in Małopolska . Thermomodernization, installations of renewable energy sources, replacement of inefficient heating sources, and low-emission transport are among the cofinanced activities in the implemented programs. The first section of this paper discusses existing legal acts in the European Union, at the national and provincial levels, related to the analyzed issue. The second section contains description of the actions undertaken for improving energy efficiency and air quality, as well as for increasing the use of renewable energy sources, in Małopolska. The third section includes a qualitative assessment of the effects obtained and further directions for activities in this field.
Comparison of chosen aspects of Energy Security Index for the natural gas sector in Poland and Ukraine
Authors: Osieczko Kornelia , Polaszczyk Jan 
Published: January 2019

Abstract
The energy security is a subject often picked by government representatives of current times, who take actions influencing geopolitical relationship of Europe and globe. It is an important aspect because of its economical, ecological and environmental nature. Tensions between countries of Eastern Europe, legislative changes made by European Union and rapidly increasing demand in the energy sector lead players to securing their resources and its supplies, along with infrastructure. Energy Security Index (WBE) proposed by A. Sokołowski (2010) and Kościuszko Institute is an effective tool for measurement, impartial assessment and classification of analyzed economies, checking their flexibility and possibilities in the international energy arena. The index is built as multidimensional comparison analysis, which gives the prospect of creating rankings. This article presents the essence of energy security in the context of an economic potentiality in the gas sector, with the chosen elements counting into WBE and its applications. The vast aggregate is created by calculations, using worked data, to summarize assessment of energy security status of examined country. The authors tried to compare chosen elements of WBE of neighboring Polish and Ukrainian economies. As an addition, based on data availability, information is enriched by appropriate commentary. Graphics shows the essence and summary of gas transportation infrastructure in both countries and gives the idea of possibilities of cooperation between them.
Employee engagement and performance: a systematic literature review
Authors: Motyka Błażej 
Published: January 2019

Abstract
Scholars and practitioners indicate that low level of employee engagement at work is currently one of the most alarming global economic problems. The potential consequence of this phenomenon is declining work performance. Therefore, it becomes important to understand the concept of work engagement, its meaning for employees, and implications for employers. The article is a systematic review of the body of literature, presenting the results of research on the association between employee engagement and various performance categories. The paper’s objective is to summarize prior studies based on their ordering and categorization, identify gaps in the current knowledge, and propose an agenda for future research. The article presents these findings in a synthetic manner, offering practical and academic implications arising therefrom. Results of the review indicate that, in the case of most peer-reviewed publications, a statistically significant relation between employee engagement and numerous categories and subcategories of performance was confirmed.