bluuebunny/crossref_metadata_2025_split huggingface dataset:
The oral implications of mental health disorders part 1: eating disorders
Authors: Patel Nisma , Milward Michael 
Published: January 2019

Abstract: Mental health disorders are becoming increasingly prevalent and it is important that dental professionals have adequate knowledge of these conditions, the impact that they may have on oral health and how they should be managed. This is the first of two articles that discuss mental health disorders that may present in general practice, their oral manifestations and the strategies used in their management. Part 1 focuses on the eating disorders: anorexia nervosa, bulimia nervosa and binge eating disorder. Part 2 will discuss depression and explores the physiological and behavioural changes that can affect oral health. CPD/Clinical Relevance: Eating disorders have many oral manifestations that can be identified in general practice. Improved awareness of the possible signs and symptoms can allow for early diagnosis and management.
Influence of Dopants on Structure of Polycrystalline Bismuth Niobate
Authors: Czekaj D. , Lisińska-Czekaj A. 
Published: January 2019

Abstract
Bismuth niobate (BiNbO4) has attracted attention as a low-fired ceramics with promising microwave application potential. BiNbO4 ceramics was fabricated by mixed oxide method and sintered at temperature T<1000°C. As the sintering aids a small amount of CuO oxide was used. The crystalline structure of the ceramic samples was examined by X-ray diffraction method at room temperature. The Rietveld refinement method was used for analysis of diffraction data. As a result an influence of dopants on crystal structure of bismuth niobate (BiNbO4) ceramics was revealed. It was found that fabricated BiNbO4 ceramics adopted the orthorhombic symmetry (α-BiNbO4 phase, Pnna (52) space group). Small differences in elementary cell parameters were found.
Article Entitled: Determination of Multi-Class Pesticide Residues in Sour Cherries by LC-MS/MS
Authors: Bursić Vojislava , Vuković Gorica , Đukić Marina , Petrović Aleksandra , Cara Magdalena , Marinković Dušan , Đurović-Pejčev Rada 
Published: January 2019

Summary
During 2018 a total of 42 sour cherry samples were collected and analysed for pesticide residues by LCMS/MS with the carbofuran–D3 and acetamiprid-D3 as internal standards. The study showed that 42.86% of the analysed samples contained pesticide residues. In percentage terms, it seems to be high, but most of the detections were below the recommended MRL values, which is encouraging. The analysis indicated that three of the analysed sour cherry samples (7.14%) contained pesticide residues above the MRLs (propiconazole, methomyl, dimethoate and prochloraz). In spite of the low concentrations, ten samples contained multiple detections, i.e. 55.56% of the analysed samples contained more than one pesticide residue.
Creative Genius as Inherently Relevant and Beneficial: The View from Mount Olympus
Authors: Simonton Dean Keith 
Published: January 2019

Abstract
The author responds to Kaufman’s (2018) target essay from a unique perspective – research on creative genius. Although the author began studying little-c creativity, he switched to Big-C creativity when he did his doctoral dissertation, and continued that work for the rest of his career. One implication of such research is that the relevance of creative genius cannot be questioned, even if its benefits are sometimes ambiguous (however obviously consequential). Another implication is that creative geniuses do not require training in creativity, whatever usefulness such instruction may possess for everyday creativity.
Educational Consequences of Creativity: A Creative Learning Perspective
Authors: Beghetto Ronald A. , Karwowski Maciej 
Published: January 2019

Abstract
How can creativity be encouraged in schools and what are the educational consequences of doing so? We address this question from a creative learning perspective. Specifically, we open by discussing how this question can be approached from at least two different perspectives: one that positions creativity and academic learning as competing goals and another that conceptualizes these goals as compatible. We discuss how a creative learning perspective helps to reframe this question and clarify the educational consequences of doing so. We close by briefly outlining five considerations for promoting favorable outcomes with respect to encouraging creativity in schools and classrooms.
Will Becoming More Creative Make us More Tolerant?
Authors: Groyecka Agata 
Published: January 2019

Abstract
This commentary attempts to address the question of “Why creativity matters?” from the perspective of social psychology, by pointing out processes, which promote creativity while diminishing prejudices. I argue that through enhancing creativity, stereotyping can be reduced which can translate to the further improvement of intergroup relations. The common correlates of low prejudices and creativity supporting this hypothesis, are presented in this paper and comprise: (1) cognitive flexibility, (2) openness to experience and (3) perspective taking. Further, I invoke the existing literature regarding the link between schema-inconsistencies and creativity, which highlights the interrelatedness of these processes, but views creativity as an outcome, rather than a tool for social change. The assumed relationship can be seen as an opening to numerous future research paths, as it can give rise to various detailed questions from the points of view of basic and applied psychology.
Uniquely Creative: Developing a New Outline for Positive Outcomes
Authors: Kaufman James C. 
Published: January 2019

AbstractThere were four broad takeaways from the commentaries by the distinguished contributors. First, there was a caution on focusing too much on the positive outcomes. Second, there were several important considerations noted that can enrich the discussion. Third, people made a strong case for revisiting old outcomes with new methods and theories. Finally, there were suggestions for “new” positive outcomes that creativity may predict. I build on these and my own thoughts to offer an outline to cover a (hopefully expandable) list of potential outcomes. I end with a call for open commentaries to be considered for a future special section in this journal.
Child’s creative activity as an opportunity to develop metalearning skills – analysis of an educational programmeCreating my own textbook – I know what I want to learn and how
Authors: Żak-Skalimowska Monika 
Published: January 2019

AbstractThe objective of my project entitled “Creating my own text-book - I know what I want to learn and how” was to develop children’s awareness of a broadly defined ability to learn, through the creation of their own textbooks, which they would like to use at school. The main aim of the research described below was to gain an understanding of what children them-selves would consider to be an ideal textbook from which to learn, what they would really like to learn about, and what are their interests and needs in terms of learning at school. Twenty-seven pupils from the III-rd grade of primary school participated in the project. The educational project lasted five months. A basic assumption of the research was that pupils have their own personal knowledge with regard to the content of what they would like to be taught at school. Conclusions from the research were formulated on the basis of interviews carried out with the children and an analysis of the textbooks which they created. The results show that the pupils who participated in the educational project are able to describe what their ideal school textbook should be like. The objective of the present paper is to present the conclusions drawn from the educational project from the perspective of developing meta-learning skills in young, school-aged children.
Ian McEwan’s Parable of Reading in Black Dogs
Authors: Bădulescu Dana 
Published: January 2019

Abstract
This paper aims to explore Ian McEwan’s vision of Europe in his 1992 novel Black Dogs. Published some three years after the fall of the Berlin Wall, Black Dogs plunges its readers into a fictional experience that enhances their sense of an irrational fear and their apprehensions of evil forces haunting Europe’s past and present and bursting out in the shape of a pair of menacing creatures in London, France, Poland and Germany. Taking the reader back and forth in time and space in a narrative of mobility, McEwan projects a complex vision of Europe, where memory plays tricks and sheds light upon an essential, albeit inscrutable truth at the same time. Feeling that he belongs nowhere, in particular, Jeremy, the narrator-protagonist, probes into the past to find the key to the present, which overarches the future of the continent. In order to do so, his mind sweeps over moments and places, projecting pieces of a jigsaw puzzle which only the reading process can fit together. Looking into McEwan’s memory-oriented narrative strategies, the paper will focus on the emblematic role of the reader in a novel which is a parable of cultural, epistemological and literary reading.
Predictive analytics of insurance claims using multivariate decision trees
Authors: Quan Zhiyu , Valdez Emiliano A. 
Published: January 2019

Abstract
Because of its many advantages, the use of decision trees has become an increasingly popular alternative predictive tool for building classification and regression models. Its origins date back for about five decades where the algorithm can be broadly described by repeatedly partitioning the regions of the explanatory variables and thereby creating a tree-based model for predicting the response. Innovations to the original methods, such as random forests and gradient boosting, have further improved the capabilities of using decision trees as a predictive model. In addition, the extension of using decision trees with multivariate response variables started to develop and it is the purpose of this paper to apply multivariate tree models to insurance claims data with correlated responses. This extension to multivariate response variables inherits several advantages of the univariate decision tree models such as distribution-free feature, ability to rank essential explanatory variables, and high predictive accuracy, to name a few. To illustrate the approach, we analyze a dataset drawn from the Wisconsin Local Government Property Insurance Fund (LGPIF)which offers multi-line insurance coverage of property, motor vehicle, and contractors’ equipments.With multivariate tree models, we are able to capture the inherent relationship among the response variables and we find that the marginal predictive model based on multivariate trees is an improvement in prediction accuracy from that based on simply the univariate trees.
Application of Artificial Neural Networks in the Dimensioning of Retention Reservoirs
Authors: Pochwat Kamil Błażej , Słyś Daniel 
Published: January 2019

Abstract
One of the essential needs for retention reservoirs is to reduce the volume of wastewater flows in sewer systems. Their main advantage is the potential to increase retention in the system, which in turn improves hydraulic safety by reducing the risk of node flooding and the emergence of the phenomenon of “urban flooding”. The increasingly common use of retention reservoirs, the observed changes in the climate and the development of dedicated software tools necessitate the updating of the methods used to dimension retention reservoirs. So far, the best known procedures in this regard involve the application of analytical formulas and tools in the hydrodynamic modelling of current sewage systems. In each case the basis for the retention facility design is the evaluation of rainfall in terms of the probability of occurrence and duration that would result in a critical rainwater flow condition in the sewer system in order to define the required reservoir retention capacity. The purpose of this paper is to analyse of the feasibility of applying artificial neural networks in the preliminary estimation of the duration of critical rainfalls. Such an application of these networks is essential to the process of hydrodynamic modelling of the system and to determining the required retention capacity of the reservoir. The study used an artificial neural network model typically used as part of planning processes, as well as the Statistica software suite.
Analysis of Combined Sewer Flow Storage Scenarios Prior to Wastewater Treatment Plant
Authors: Sakson Grażyna , Zawilski Marek , Brzezińska Agnieszka 
Published: January 2019

AbstractCombined sewer systems in cities are increasingly equipped with additional storage facilities or other installations necessary for keeping the wastewater treatment plants from overloading during wet weather and reducing combined sewer overflows into receiving waters. Effective methods for reducing such negative phenomena include the temporary storage of wet weather flow in an end-of-pipe separate tank or in a sewer system. In this paper, four scenarios of wastewater storage for the Group Wastewater Treatment Plant (GWWTP) in Lodz (Poland) have been analysed: a storage in a separate single tank located in GWWTP, a storage in the bypass channel in GWWTP, in-sewer storage, and a combination of the aforementioned variants, also with real time control (RTC) system introduced. The basic calculations were performed using the EPA’s SWMM software for the period of 5 years (2004-2008). The chosen solution - storage in a separate storage tank - has been verified based on the inflow dataset from the years 2009-2013. The specific volume of the separate storage tank should be at least 22 m3per hectare of impervious catchment area, but it could be reduced if additional in-sewer storage with RTC were introduced. Both options allow the effective protection of receiving waters against discharge of untreated sewage during wet weather.
Assessment of the Monitoring of an Industrial Waste Landfill
Authors: Janas Monika , Zawadzka Alicja 
Published: January 2019

Abstract
Industrial waste deposited in landfills poses a threat to the environment and can cause its deterioration. The physical and chemical processes that result in the formation of a number of harmful substances occur in the mass of stored waste. When released to the environment these compounds can be dangerous to all its elements, especially to groundwater. The monitoring of landfill impact plays an important role in assessing the state of the environment. It allows us to follow what changes take place in the waste bed itself, and in particular elements of the environment. On the basis of long-term monitoring studies (conducted in the years 1995-2016), the quality of groundwater around the industrial waste landfill in Zgierz was determined and its impact on the environment was characterized. The quality of conducted monitoring was assessed in relation to the current regulations. Analysis of the results of groundwater quality tests confirms that the industrial landfill in the operational phase due to a number of applied security measures has not contributed to the deterioration of groundwater quality. In the post-operational phase, groundwater contamination is observed, and consequently irreversible changes occur in the environment. The negative impact of the landfill can be due to the disruption of sealing layers and elution of pollutants from the waste by rainwater. The landfill site monitoring plays a key role in assessing causal relationships occurring between the state of the landfill and elements of the environment in its vicinity.
Representation of Solutions and Finite Time Stability for Delay Differential Systems with Impulsive Effects
Authors: You Zhongli , Wang JinRong , Zhou Yong , Fečkan Michal 
Published: January 2019

AbstractIn this paper, we study finite time stability for linear and nonlinear delay systems with linear impulsive conditions and linear parts defined by permutable matrices. We introduce a new concept of impulsive delayed matrix function and apply the variation of constants method to seek a representation of solution of linear impulsive delay systems, which can be well used to deal with finite time stability. We establish sufficient conditions for the finite time stability results by using the properties of impulsive delayed matrix exponential and Gronwall’s integral inequalities. Finally, we give numerical examples to demonstrate the validity of theoretical results and present some possible advantage by comparing the current work with the previous literature.
Why and how to predict sea level changes at a tide gauge station with prediction intervals
Authors: Iz H. Bâki 
Published: January 2019

Abstract
Predicting sea level rise is essential for current climate discussions. Empirical models put in use to monitor and analyze sea level variations observed at globally distributed tide gauge stations during the last decade can provide reliable predictions with high resolution. Meanwhile, prediction intervals, an alternative to confidence intervals, are to be recognized and deployed in sea level studies. Predictions together with their prediction intervals, as demonstrated in this study, can quantify the uncertainty of a single future observation from a population, instead of the uncertainty of a conceivable average sea level namely a confidence interval, and it is thereby, better suited for coastal risk assessment to guide policy development for mitigation and adaptation responses.
Intellectual property and agricultural trade: Producer perceptions of tea and coffee as potential geographical indications
Authors: Maina Fredah Wangui , Mburu John , Ackello-Ogutu Chris , Egelyng Henrik 
Published: January 2019

Abstract
Kenya tea and coffee are major foreign exchange earners and have high reputation among consumers in the international market. Faced by declining prices and competition from other sub-sectors, production area under these commodities has been declining. Use of intellectual property (IP) rights to protect and market agricultural commodities has been on the increase. Geographical indications as IP have been successfully implemented in developed countries and increasingly in developing countries. The study assesses producers’ awareness and perceptions of territorial-based qualities and the influence on product profits from the two export beverage crops, tea and coffee. Factor analysis was conducted on Likert scale perception questions administered to producers of coffee and tea from Muranga and Kirinyaga, respectively, in the Central region of Kenya. Producers of the two products were aware of the uniqueness of their products and their geographical source. Only perceptions related to market access in coffee and tea, and policies and rules as well as role of county government in coffee positively influenced income. Rather than have GI as a certification trademark, a prescriptive sui generis law would provide the required streamlining needed for collective participation of various actors along the value chain of potential GI products.
Ontology learning algorithm using weak functions
Authors: Zhu Linli , Hua Gang , Aslam Adnan 
Published: January 2019

AbstractOntology is widely used in information retrieval, image processing and other various disciplines. This article discusses how to use machine learning approach to solve the most essential similarity calculation problem in multi-dividing ontology setting. The ontology function is regarded as a combination of several weak ontology functions, and the optimal ontology function is obtained by an iterative algorithm. In addition, the performance of the algorithm is analyzed from a theoretical point of view by statistical methods, and several results are obtained.
REGULATION PROBLEMS AND THEIR POSSIBLE SOLUTIONS IN THE LITHUANIAN EXPRESS CREDIT SECTOR
Authors: Pazniokas Rimgaudas , Jočienė Aldona 
Published: January 2019

Abstract. Express credit institutions have started their activities only five years ago when the economic crisis came and increased the borrowing demand. Now, we have the consumer credit law and other legislative acts which aim to ensure this sector regulation. However, there still remain problems that have to be solved. The main of them are inconsistencies in consumers’ solvency evaluation in different companies, the lack of financial knowledge in society and its information, the aggressive lending and advertising policy. The increasing demand for this service shows its importance and proves the necessity to maintain it in the market while at the same time ensuring consumer protection.Key words: express credits, pay-day loans, consumer credit
(Un)productive Use of Public Debt in Kosovo
Authors: Zharku Lutfi 
Published: January 2019

[full article and abstract in English]
The aim of this paper is to analyze how public debt is used in Kosovo and to find out if there is a direct link between public debt and public investment that has positive impact on economic growth. Since acquiring independence, Kosovo engaged in public investment on a large scale, mainly in developing road infrastructure. With the cash balance depleted, a growing budget deficit and facing liquidity difficulties due to ongoing large public investments and increasing wage & salary bill and social transfers, the Government of Kosovo had to start borrowing both abroad and domestically. However, public debt had continued to increase even though public investment had experienced a sharp decrease. Since the budget financial statements do not show any deficit composition, we have recalculated a special-purpose deficit, the so-called “regular” budget deficit, considering only regular receipts and outlays. By disaggregating the total public debt based on lenders and by tying the loans to specific capital projects, we came to the conclusion that only a small part of the public debt is directly tied with public investment, while the bulk of it is used to finance the budget deficit that was caused by a high increase in wage & salary bill and social transfers. The analysis confirms that the public debt is being used for unproductive purposes and therefore does not contribute to economic growth. All this was supported by a lack of legal infrastructure or fiscal rules for several years. There is extensive literature on both public debt and public investments as well as their impact on economic growth. The literature review method was adopted for this study, and our research was refined by including the selected papers that contained empirical and theoretical studies on these issues. This is a case study for Kosovo, and the research has been carried out using secondary research data drawn from Kosovo budget annual financial reports and annual bulletins on public debt. The implications of this paper may be of high importance for policymakers as well as for academics, as this happens to be one of the pioneering articles in this field in terms of studies conducted about Kosovo. Herein is presented a unique approach to the issues of public debt and public investment.