bluuebunny/crossref_metadata_2025_split huggingface dataset:
La Macdonalización del Sistema Universitario
Authors: Del Castillo Olivares Barberán José María , Torrado Martí-Palomino Esther , Escuela Cruz Chaxiraxi 
Published: July 2020

Enrique Díez comienza, en su libro Neoliberalismo Educativo (2018), narrando una mañana a primera hora en la universidad y como se ha iniciado una invasión de mupis publicitarios, casi todos relacionados con las empresas y los bancos. No se trata solo de una invasión de espacios públicos, sino de espacios del conocimiento y del trabajo, de una pedagogía neoliberal gestionando las instituciones del conocimiento al estilo de las franquicias de McDonald´s. Por eso, en este estudio hemos querido ahondar en las consecuencias de este modelo para el profesorado contratado laboral especialmente en los centros de educación superior y más específicamente en la Universidad de la Laguna en las Islas Canarias. Situaremos a esta universidad desde sus descriptores de producción y los relacionaremos con los de sobre carga de trabajo y condiciones laborales de precariedad del PDI laboral. El objetivo es tipificar o identificar esos indicadores de vulnerabilidad y precariedad, concentrados en figuras contractuales determinadas. Veremos cómo en la actualidad están empezando a desarrollarse experiencias de resistencia y lucha ante un modelo que promueve el logro individual, la elitización de las plantillas y las desiguales condiciones de trabajo. Ésta situación está empezando a movilizarse a pesar de las muchas barreras, derivadas de las fuerzas micropolíticas hegemónicas ostentadas por algunos grupos de funcionarios. Intentaremos explicitar algunas de las claves para una posible regeneración de las culturas de lucha por el derecho laboral.
Escuela inclusiva: el viaje entre ayer y hoy. Una mirada interior personal para transformar la escuela.
Authors: Bautista Ochoa Varinia , Farzaneh Peña Diana , González Lozano Lucía , Herrera Polo Gabriel , Marín Muñoz Inmaculada , Martín Moreno Inés , Martín Trujillo Sandra , Sánchez Burgos María , Téllez Muñoz Antonio 
Published: July 2020

El presente artículo muestra un antes y un después en el grupo de estudiantes que formamos parte del Módulo de Escuela Inclusiva: Teoría y Práctica. Cada una de nosotras y cada uno de nosotros, iniciamos esta nueva etapa de aprendizaje con una mochila llena de conocimientos y experiencias personales sobre el significado de escuela inclusiva/pública, fruto de nuestra realidad en el ámbito personal, académico y laboral. Sin embargo, gracias a nuestro conversar y a nuestro análisis teórico, pusimos en común una serie de ideas, pensamientos y opiniones que constituyeron un punto de inflexión en nuestra formación docente.
A lo largo de este escrito, se reflejan dos tipos de escuelas: la que todas y todos hemos vivido como alumnado y como profesorado, y la que queremos; una escuela que se basa en el modelo educativo tradicional y de integración, y otra guiada por una serie de principios que, desde nuestro punto de vista, son los que mejor abogan por la educación pública e inclusiva por la que luchamos. Lo cierto es que nuestro pasado ha estado influenciado por un paradigma que considera al alumnado como problemas, pero en nuestro futuro intentaremos dirigir la mirada hacia los contextos y los sistemas, que son la principal vía que nos lleva a la exclusión en todos los ámbitos: educativo, social y profesional.
Anti-inflammatory therapies for pericardial diseases in the COVID-19 pandemic: safety and potentiality
Authors: Imazio Massimo , Brucato Antonio , Lazaros George , Andreis Alessandro , Scarsi Mirko , Klein Allan , De Ferrari Gaetano Maria , Adler Yehuda 
Published: July 2020

The COVID-19 pandemic is challenging our cardiovascular care of patients with heart diseases. In the setting of pericardial diseases, there are two possible different scenarios to consider: the patient being treated for pericarditis who subsequently becomes infected with SARS-CoV-2, and the patient with COVID-19 who develops pericarditis or pericardial effusion. In both conditions, clinicians may be doubtful regarding the safety of nonsteroidal anti-inflammatory drugs (NSAIDs), corticosteroids, colchicine, and biological agents, such as anti-IL1 agents (e.g. anakinra), that are the mainstay of therapy for pericarditis.
For NSAIDs, there is no clear scientific evidence linking ibuprofen and other NSAIDs to worsening of COVID-19; however, it seems prudent to continue them, if necessary to control pericarditis, and on the other hand, to prefer paracetamol for fever and systemic symptoms related to COVID-19. Treatments with corticosteroids, colchicine, and anakinra appear well tolerated in the context of COVID-19 infection and are currently actively evaluated as potential therapeutic options for COVID infection at different stages of the disease. On this basis, currently most treatments for pericarditis do not appear contraindicated also in the presence of possible COVID-19 infection and should not be discontinued, and some (corticosteroids, colchicine, and anakinra) can be considered to treat both conditions.
Antimicrobial susceptibility patterns for aerobic bacteria isolated from reptilian samples submitted to a veterinary diagnostic laboratory: 129 cases (2005–2016)
Authors: Tang Pak Kan , Divers Stephen J. , Sanchez Susan 
Published: July 2020

Abstract

OBJECTIVE
To identify antimicrobial susceptibility patterns for aerobic bacteria isolated from reptilian samples and, from those patterns, identify antimicrobials that could be considered for empirical treatment of reptiles with suspected bacterial infections.

SAMPLES
129 bacterial isolates from 61 of 127 samples from 96 reptiles.

PROCEDURES
Medical records of reptiles (chelonian, crocodilian, lizard, and snake) presented to the zoological medical service of a veterinary teaching hospital between January 2005 and December 2016 were reviewed for submissions of patient samples for aerobic bacterial culture and susceptibility testing. Sample type, presence or absence of bacterial growth, and antimicrobial susceptibilities of isolated bacteria were recorded. The isolation frequency and the antimicrobial susceptibilities of bacterial genera and species were tabulated.

RESULTS
Pseudomonas spp and Enterococcus spp were the most frequently isolated gram-negative and gram-positive bacteria, respectively. Isolates of gram-negative bacteria frequently had susceptibility to amikacin (86%), gentamicin (95%), tobramycin (92%), and trimethoprim-sulfamethoxazole (83%), and gram-positive bacteria frequently had susceptibility to ampicillin (83%), chloramphenicol (92%), doxycycline (100%), and gentamicin (100%). Isolates of gram-positive bacteria were consistently resistant to ceftazidime.

CONCLUSIONS AND CLINICAL RELEVANCE
Aerobic bacterial culture and antimicrobial susceptibility results for reptilian samples in this population indicated that aminoglycosides and trimethoprim-sulfamethoxazole or ampicillin and doxycycline could be considered as options for the empirical treatment of reptiles with infections caused by gram-negative or gram-positive bacteria, respectively.
Block-ED: The Proposed Blockchain Solution for Effectively Utilising Educational Resources
Authors: Irshad Shareen , Brohi Muhammad Nawaz , Soomro Tariq Rahim 
Published: July 2020

Abstract
In this day and age, access to the Internet has become very easy, thereby providing access to different educational resources posted on the cloud even easier. Open access to resources, such as research journals, publications, articles in periodicals etc. is restricted to retain their authenticity and integrity, as well as to track and record their usage in the form of citations. This gives the author of the resource his fair share of credibility in the community, but this may not be the case with open educational resources such as lecture notes, presentations, test papers, reports etc. that are produced and used internally within an organisation or multiple organisations. This calls for the need to build a system that stores a permanent and immutable repository of these resources in addition to keeping a track record of who utilises them. Keeping in view the above-mentioned problem in mind, the present research attempts to explore how a Blockchain based system called Block-ED can be used to help the educational community manage their resources in a way to avoid any unauthorised manipulations or alterations to the documents, as well as recognise how this system can provide an innovative method of giving credibility to the creator of the resource whenever it is utilised.
Evaluation of Fingerprint Selection Algorithms for Local Text Reuse Detection
Authors: Jēkabsons Gints 
Published: July 2020

Abstract
Detection of local text reuse is central to a variety of applications, including plagiarism detection, origin detection, and information flow analysis. This paper evaluates and compares effectiveness of fingerprint selection algorithms for the source retrieval stage of local text reuse detection. In total, six algorithms are compared – Every p-th, 0 mod p, Winnowing, Hailstorm, Frequency-biased Winnowing (FBW), as well as the proposed modified version of FBW (MFBW).
Most of the previously published studies in local text reuse detection are based on datasets having either artificially generated, long-sized, or unobfuscated text reuse. In this study, to evaluate performance of the algorithms, a new dataset has been built containing real text reuse cases from Bachelor and Master Theses (written in English in the field of computer science) where about half of the cases involve less than 1 % of document text while about two-thirds of the cases involve paraphrasing.
In the performed experiments, the overall best detection quality is reached by Winnowing, 0 mod p, and MFBW. The proposed MFBW algorithm is a considerable improvement over FBW and becomes one of the best performing algorithms.
The software developed for this study is freely available at the author’s website http://www.cs.rtu.lv/jekabsons/.
Predicting Stock Market Price Movement Using Sentiment Analysis: Evidence From Ghana
Authors: Nti Isaac Kofi , Adekoya Adebayo Felix , Weyori Benjamin Asubam 
Published: July 2020

Abstract
Predicting the stock market remains a challenging task due to the numerous influencing factors such as investor sentiment, firm performance, economic factors and social media sentiments. However, the profitability and economic advantage associated with accurate prediction of stock price draw the interest of academicians, economic, and financial analyst into researching in this field. Despite the improvement in stock prediction accuracy, the literature argues that prediction accuracy can be further improved beyond its current measure by looking for newer information sources particularly on the Internet. Using web news, financial tweets posted on Twitter, Google trends and forum discussions, the current study examines the association between public sentiments and the predictability of future stock price movement using Artificial Neural Network (ANN). We experimented the proposed predictive framework with stock data obtained from the Ghana Stock Exchange (GSE) between January 2010 and September 2019, and predicted the future stock value for a time window of 1 day, 7 days, 30 days, 60 days, and 90 days. We observed an accuracy of (49.4–52.95 %) based on Google trends, (55.5–60.05 %) based on Twitter, (41.52–41.77 %) based on forum post, (50.43–55.81 %) based on web news and (70.66–77.12 %) based on a combined dataset. Thus, we recorded an increase in prediction accuracy as several stock-related data sources were combined as input to our prediction model. We also established a high level of direct association between stock market behaviour and social networking sites. Therefore, based on the study outcome, we advised that stock market investors could utilise the information from web financial news, tweet, forum discussion, and Google trends to effectively perceive the future stock price movement and design effective portfolio/investment plans.
Anemic Domain Model vs Rich Domain Model to Improve the Two-Hemisphere Model-Driven Approach
Authors: Nikiforova Oksana , Gusarovs Konstantins 
Published: July 2020

Abstract
Evolution of software development process and increasing complexity of software systems calls for developers to pay great attention to the evolution of CASE tools for software development. This, in turn, causes explosion for appearance of a new wave (or new generation) of such CASE tools. The authors of the paper have been working on the development of the so-called two-hemisphere model-driven approach and its supporting BrainTool for the past 10 years. This paper is a step forward in the research on the ability to use the two-hemisphere model driven approach for system modelling at the problem domain level and to generate UML diagrams and software code from the two-hemisphere model. The paper discusses the usage of anemic domain model instead of rich domain model and offers the main principle of transformation of the two-hemisphere model into the first one.
Regenerated Cellulose/Graphene Composite Fibers with Electroconductive Properties
Authors: Piotr Kulpinski , Jeszka Jeremiasz K. , Artur Malolepszy , Leszek Stobinski 
Published: July 2020

Abstract
Conductive cellulose fibers may find application in producing antistatic materials and fibrous electronic elements for smart textiles (textronics). In this paper, we present a method of fabrication of cellulose fibers modified with the reduced graphene oxide (rGO) and graphene oxide (GO). The fibers were obtained by using N-methylmorpholine-N-oxide (NMMO) as a direct solvent, adding dispersion of GO during the cellulose dissolution process. In the next step, the GO enclosed in the fibers was reduced for ca. half an hour at 90°C with the excess of water solution of hydrazine to obtain fibers containing rGO. The viscosity of the spinning solution increased when GO was added; however, the difference is important at low shearing rates but decreases at high shearing rates, similar to that used in the process of fiber spinning. Cellulose fibers containing 3, 4, 6, and 10% w/w of rGO were obtained. Fiber morphology was studied using electron microscopy. The results of the electrical properties’ measurements showed that the conductivity of modified fibers strongly depends on the concentration of rGO. At 10% rGO conductivity was 9 x 10−3 S/cm. The mechanical properties of the obtained fibers were slightly changed by the presence of GO and rGO. Tenacity and elongation at break decreased with the increase in the content of GO and rGO in the fibers but remain at an acceptable level from the textiles processing point of view.
Fear and Loathing in Legal Academia: Legal Academics’ Perceptions of Their Field and Their Curious Imaginaries of How ‘Outsiders’ Perceive It
Authors: Priaulx Nicolette , Weinel Martin , Leonard-Clarke Willow , Hayes Thomas 
Published: July 2020

Abstract
This article concerns the question of how legal academics imagine ‘outsiders’ perceive legal academia. Centralising our empirical work undertaken at a UK research intensive University which explored the attitudes, beliefs and knowledges of non-legal academics about the field of legal academia, we focus on the findings flowing from benchmarking surveys with legal academics which invited self-evaluations of the field of legal academia as well as imagining how non-legal academics (’outsiders’) might evaluate the field of legal academia. Of particular interest, we note the presence of a curious divergence between self-perceptions of legal academia and their ‘imaginaries’ as to how ’outsiders’ will perceive the field. Supported by a review of the legal scholarly literature, our study reveals a persistently bleak ‘folklore’ surrounding the question of how ‘outsiders’ will regard legal academia – though critically, one which on the basis of our empirical work, finds little root in reality. Providing the first study of its kind, and offering a range of novel analytical techniques, we highlight the significant purchase of empirical meta-disciplinary work of this nature for better understanding legal academia and its relationship with other fields. While undertaken as a scoping study, we identify potential opportunities for raising the profile of legal academia in wider spheres, as well as enhancing opportunities for cross-disciplinary collaboration. As we argue by reference to our findings, part of that work may simply involve legal academics projecting their more positive self-perceptions of their field and the value of their work to the outside world.
Application of statistical methods in Internet financial information analysis
Authors: Dolinšek Tatjana 
Published: July 2020

Abstract
In today’s modern globalised world, we are faced with numerous data which form the basis for many crucial decisions. The ability to perform the analysis and interpret data correctly is, therefore, of essential importance in practically every field. The field of financial Information is one of such fields, especially the segment of information that is used by companies in corporate communication. This article is focused solely on the information that refers to the Internet financial reporting, which is important particularly for the external stakeholders. The research was made on the basis of the Internet Financial Reporting (IFR) Index for 27 Slovenian companies listed on the Ljubljana Stock Exchange. The article demonstrates the methodological approach to the creation of the IFR Index, which served as the new variable in the following steps of this research, for which various statistical analyses were performed (univariate, bivariate, and multivariate). Based on the descriptive statistics, the main characteristics of the IFR Index are identified, and, by using the t-test for two independent samples, it was found out that there is a difference among the companies listed in the two different listings. Moreover, through the use of the correlation analysis, the correlation between the IFRC and the IFR-P variables was verified, and, in the end, through the use of the multiple regression analysis, it was discovered that the size of the company is the factor which influences the level of the IFR Index. The purpose of this article is to show the awareness of the alternative research methods, and to facilitate the selection of the most appropriate method for addressing particular research questions in the Internet Financial Reporting.
Impacts of Tourism and Residents’ Perceptions: A Study in the Regional Tourism Area of Lisbon
Authors: Costa Teresa , Umbelino Jorge , de Lurdes Calisto Maria , Nunes Sandra , Afonso Victor Alves 
Published: July 2020

Abstract
Tourism shows a significant transformation. Therefore, knowing the perception of residents regarding its impacts can conduce to more adequate public policies, strategies, decisions and actions, more adapted to residents’ expectations, involving these stakeholders and deepening their engagement in tourism development. This study is a work in progress1. Its main objective is to identify the perceptions of residents of the Lisbon region regarding the impacts of tourism. A quantitative methodology was used to analyse respondents’ perceptions based on descriptive statistical techniques and non-parametric tests. The results of this research indicate that residents have a positive attitude concerning economic, as well as cultural, social and environmental impacts. The study also reveals differences in attitude depending on age, gender and professional activity.
Meta Analyses and Controversy About Financialization, Growth and Stability: A look from post-transition countries of last decade
Authors: Ristic Kristijan 
Published: July 2020

Abstract
In the recent theory of economic growth, there are multiple explanations for the “downward trend of economic growth”, which is already happening during the past decade in developed and emerging markets. Almost all economists have avoided researching the “hypothesis of a world without growth”, dealing with Krugman’s rhetoric of “secular stagnation is probable” or thinking about Koehn’s rhetoric get rid of dependence on growth”. The cult of growth is embedded in the economic, political and social heads so deeply that for each of them growth is an imperative of life and death. By reviewing certain literature and papers, we can draw a conclusion about trends in the world economy, the dominant macroeconomic mainstream and reconsider and we can a critically resist the role of “rule taker” in the economic policy of post-transition countries in the past ten years. This paper does not investigate or establish a research gap, and does not offer a solutions to current problems that may arise from comparative analyzes, but give a qualitative assessment of the neoliberal tone of global economic policy, note the controversies of economic growth and financial stability and reinterprets earlier doctrinal conflicts in the global economy, which can give perspective possible solutions or policies for post-transition countries today. The key goal of this paper is to give rise to future research.
Entrepreneurship and Innovation Towards Rural Development Evidence from a Peripheral Area in Portugal
Authors: Pato Lúcia 
Published: July 2020

Abstract
Based on an exploratory research, this study highlights the role of pure rural entrepreneurship towards rural development of an inland and mountainous area of Portugal—Montemuro. Thanks to the Institute of Cultural Affairs and the energy of the rural communities, some people of the rural area have been stimulated thirty years ago to develop endogenous, entrepreneurial and innovative initiatives in the countryside. The benefits of all these rural entrepreneurial and endogenous initiatives are visible nowadays. Some villages of the rural area have more people, socio-economic dynamics were revitalized, and some job opportunities were created. Therefore, in a context of depopulation and crisis of peripheral and interior areas, our study demonstrates that rural entrepreneurship and innovation based on endogenous resources are key for the welfare of the rural society.
Ecosystem for Successful Agriculture. Collaborative Approach as a Driver for Agricultural Development
Authors: Adamashvili Nino , Fiore Mariantonietta , Contò Francesco , La Sala Piermichele 
Published: July 2020

Abstract
The development of agribusiness sector is given gradually increasing importance. This works aims at identifying the elements that create the successful ecosystem for agricultural development, their benefits and application in agri-food systems; additionally, to bring on a light of the role of agricultural policies in these processes. For this purpose, the authors have carried out an analysis of the concern related literature and present a preliminary theoretical framework/model as a tool for supporting local development and incorporate a successful effective ecosystem. The key implications of this paper include an increased attention to agricultural research, to the role of the collaboration between relevant stakeholders, as well as of the agriculture, which uses information technologies for the better utilization of natural resources, and what is the most important is, the role of agricultural policies.