bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparative analysis of PIA and rSesC mixture, arisen antibodies against the biofilm forming Staphylococcus aureus.
Authors: Mirzaei Bahman , Babaei Reyhaneh , Mohammadi Fatemeh , Goli Hamid Reza , Gholami Sanaz Amir , Haghshenas Mohammad Reza 
Published: September 2019

Abstract
Background: Staphylococcus aureus as a causative agent of hospital-acquired infections, has been considered as the primary concern in biomaterial-related infections (BAIs). Following the purification of polysaccharide intercellular adhesion (PIA) as an efficient macromolecule in biofilm formation in the native condition, recombinant S . epidermidis surface exposed rSesC protein, with the most homology to clumping factor A (ClfA) in S. aureus was cloned and expressed in a prokaryotic host as well. Fourier transform infrared spectrometry (FTIR) and Western blotting procedure analyzed purified PIA and protein, respectively. Then, the immune response was evaluated by measuring total IgG titers. Moreover, the capacity of Anti-biofilm forming activity of arisen antibodies to a biofilm forming S. aureus strains was assessed by semi-quantitative micro-plate procedure. Results: Data showed that the total IgGs was boosted in mice immunized sera. By performing inhibition assay, biofilm inhibitory effect of secreted antibodies to test strain was observed. Arisen antibodies against the mixture significantly were more potent than PIA and rSesC, when comparing them in a biofilm inhibition assay. Conclusion: Immunization of mice with mentioned antigens especially a mixture of them, could eliminate the biofilm formation process in S. aureus . Hopefully, this study corresponds the suggestion that, the immunization of mice with PIA and rSesC candidate vaccine could protect against S. aureus infection.
SURVIVAL REGRESSION MODELS FOR SINGLE EVENTS AND COMPETING RISKS BASED ON PSEUDO-OBSERVATIONS
Authors: Wycinka Ewa , Jurkiewicz Tomasz 
Published: September 2019

Abstract
Survival data is a special type of data that measures the time to an event of interest. The most important feature of survival data is the presence of censored observations. An observation is said to be right-censored if the time of the observation is, for some reason, shorter than the time to the event. If no censoring occurs in the data, standard statistical models can be used to analyse the data. Pseudo-observations can replace censored observations and thereby allow standard statistical models to be used.
In this paper, a pseudo-observation approach was applied to single-event and competing-risks analysis, with special attention paid to the properties of the pseudo-observations. In the empirical part of the study, the use of regression models based on pseudo-observations in credit-risk assessment was investigated. Default, defined as a delay in payment, was considered to be the event of interest, while prepayment of credit was treated as a possible competing risk. Credits that neither default nor are prepaid during the follow-up were censored observations. Typical application characteristics of the credit and creditor were the covariates in the regression model. In a sample of retail credits provided by a Polish financial institution, regression models based on pseudo-observations were built for the single-event and competing-risks approaches. Estimates and discriminatory power of these models were compared to the Cox PH and Fine-Gray models.
STATISTICAL INFERENCE OF EXPONENTIAL RECORD DATA UNDER KULLBACK-LEIBLER DIVERGENCE MEASURE
Authors: Abu Awwad Raed R. , Abufoudeh Ghassan K. , Bdair Omar M. 
Published: September 2019

Abstract
Based on one parameter exponential record data, we conduct statistical inferences (maximum likelihood estimator and Bayesian estimator) for the suggested model parameter. Our second aim is to predict the future (unobserved) records and to construct their corresponding prediction intervals based on observed set of records. In the estimation and prediction processes, we consider the square error loss and the Kullback-Leibler loss functions. Numerical simulations were conducted to evaluate the Bayesian point predictor for the future records. Finally, data analyses involving the times (in minutes) to breakdown of an insulating fluid between electrodes at voltage 34 kv have been performed to show the performance of the methods thus developed on estimation and prediction.
THE EFFECT OF BINARY DATA TRANSFORMATION IN CATEGORICAL DATA CLUSTERING
Authors: Cibulková Jana , Šulc Zdeněk , Sirota Sergej , Řezanková Hana 
Published: September 2019

Abstract
This paper focuses on hierarchical clustering of categorical data and compares two approaches which can be used for this task. The first one, an extremely common approach, is to perform a binary transformation of the categorical variables into sets of dummy variables and then use the similarity measures suited for binary data. These similarity measures are well examined, and they occur in both commercial and non-commercial software. However, a binary transformation can possibly cause a loss of information in the data or decrease the speed of the computations. The second approach uses similarity measures developed for the categorical data. But these measures are not so well examined as the binary ones and they are not implemented in commercial software. The comparison of these two approaches is performed on generated data sets with categorical variables and the evaluation is done using both the internal and the external evaluation criteria. The purpose of this paper is to show that the binary transformation is not necessary in the process of clustering categorical data since the second approach leads to at least comparably good clustering results as the first approach.
A COMPARATIVE ANALYSIS OF ECONOMIC EFFICIENCY OF MEDIUM-SIZED MANUFACTURING ENTERPRISES IN DISTRICTS OF WIELKOPOLSKA PROVINCE USING THE HYBRID APPROACH WITH METRIC AND INTERVAL-VALUED DATA
Authors: Dehnel Grażyna , Walesiak Marek 
Published: September 2019

AbstractThe article describes a hybrid approach to evaluating economic efficiency of medium-sized manufacturing enterprises (employing from 50 to 249 people) in districts of Wielkopolska province, using metric and interval-valued data. The hybrid approach combines multidimensional scaling with linear ordering. In the first step, multidimensional scaling is applied to obtain a visual representation of objects in a two-dimensional space. In the next step, a set of objects is ordered linearly based on the distance from the pattern (ideal) object. This approach provides new possibilities for interpreting linearly ordered results of a set of objects. Interval-valued variables characterise the objects of interests more accurately than metric data do. Metric data are atomic, i.e. an observation of each variable is expressed as a single real number. In contrast, an observation of each interval-valued variable is expressed as an interval. The analysis was based on data prepared in a two-stage process. First, a data set of observations was obtained for metric variables describing economic efficiency of medium-sized manufacturing enterprises. These unit-level data were aggregated at district level (LAU 1) and turned into two types of data: metric and interval-valued data. In the analysis of interval-valued data, two approaches are used: symbolic-to-classic, symbolic-to-symbolic. The article describes a comparative analysis of results of the assessment of economic efficiency based on metric and interval-valued data (the results of two approaches). The calculations were made with scripts prepared in the R environment.
ECONOMIC GROWTH AND ITS DETERMINANTS: A CROSS-COUNTRY EVIDENCE
Authors: Adepoju Adedayo A. , Ogundunmade Tayo P. 
Published: September 2019

Abstract
Empirical evidence from a panel of 126 countries, over the time period of 2010 to 2014, indicates that economic growth is dependent on various factors. This paper finds that government expenditure control, reduced inflation and increased trade openness are the factors that boost the economic growth of a country. Significant evidence is seen for government consumption, fiscal policy and trade openness. No significant relationship has been observed between exchange rate and economic growth, whereas unemployment influences output for African countries. The cross regional analysis of Asian, European, African, Caribbean, and American countries gives specific determinants for these regions. Economic growth is also analysed in developing, developed, least developed, Muslim and petroleum exporting and emerging countries.
The results of this study validate the dependence of economic growth on various factors. Fiscal balance has shown a consistent positive relationship with economic growth throughout the analyses. Fiscal balance and unemployment rate played their role in the growth of African countries. Inflation rates and increased openness were significant for some regions. Exchange rate did not return significant coefficients for any of the sub-regions. Government consumption, trade openness, policy interest rate and industrial production rate showed significant effect for different regions of the world.
ESTIMATION OF ENERGY INTENSITY IN INDIAN IRON AND STEEL SECTOR: A PANEL DATA ANALYSIS
Authors: Sharma Anukriti , Roy Hiranmoy , Dalei Narendra Nath 
Published: September 2019

Abstract
India is the world’s third largest consumer of primary energy, which includes fossil fuels like coal, oil, etc. The total primary energy consumption in India in 2015 was 107 Mtoe. India’s total final energy consumption was estimated at 527 Mtoe of which the industrial sectors consumed about 30% (185 Mtoe) in 2013. The Iron and Steel sector is one of the most energy-intensive industries, consuming about 25% of the total industrial energy consumption. The energy consumption in Indian Iron and Steel sector is on the declining trend. It declined from 10 GCal/tcs in 1990 to 6.9 GCal/tcs in 2010–11. On average, iron & steel plants spend about 20-40% of the total manufacturing cost to meet their energy demands. In fact, energy cost is considered as a major factor in pricing of the steel. Energy Conservation Act, 2001 (ECA), and the formulation of Bureau of Energy Efficiency are important initiatives taken up by government in order to reduce energy consumption by various sectors in the Indian economy. Another important initiative is launching of first of its kind market-based mechanism, Perform, Achieve and Trade (PAT) mechanism in 2010 particularly targeting the energy consumption by the industrial sector of the economy. Phase-I for PAT ran from 2012–015 including eight most energy-intensive sectors under Indian Industrial sector, with Iron and Steel sector being a prominent sector. The objective of this paper is to empirically estimate the energy intensity of Indian Iron and Steel sector, also accounting for the impact of ECA and PAT Phase-I in dummy variable form. The results indicate that the decline in energy consumption in this sector until 2011 can also be attributed to Energy Conservation Act implemented in the year 2001 along with other factors. This is empirically confirmed by our results that ECA has a significant impact on reduction of energy intensity of the steel firms. PAT does not seem to have a considerable impact on energy intensity alone but in the years where both PAT and ECA are prevalent, i.e. from 2012 to 2015, there seems to be a significant impact of around 0.050 reduction in energy intensity, as accounted by different models in this paper. There is one more observation from the empirical results that profit margin intensity was found to be negatively related to energy intensity implying more profitable firms invest more in energy efficiency.
EXTREME GRADIENT BOOSTING METHOD IN THE PREDICTION OF COMPANY BANKRUPTCY
Authors: Pawełek Barbara 
Published: September 2019

Abstract
Machine learning methods are increasingly being used to predict company bankruptcy. Comparative studies carried out on selected methods to determine their suitability for predicting company bankruptcy have demonstrated high levels of prediction accuracy for the extreme gradient boosting method in this area. This method is resistant to outliers and relieves the researcher from the burden of having to provide missing data. The aim of this study is to assess how the elimination of outliers from data sets affects the accuracy of the extreme gradient boosting method in predicting company bankruptcy. The added value of this study is demonstrated by the application of the extreme gradient boosting method in bankruptcy prediction based on data free from the outliers reported for companies which continue to operate as a going concern. The research was conducted using 64 financial ratios for the companies operating in the industrial processing sector in Poland. The research results indicate that it is possible to increase the detection rate for bankrupt companies by eliminating the outliers reported for companies which continue to operate as a going concern from data sets.
EFFICIENT TWO-PARAMETER ESTIMATOR IN LINEAR REGRESSION MODEL
Authors: Dorugade Ashok V. 
Published: September 2019

Abstract
In this article, two-parameter estimators in linear model with multicollinearity are considered. An alternative efficient two-parameter estimator is proposed and its properties are examined. Furthermore, this was compared with the ordinary least squares (OLS) estimator and ordinary ridge regression (ORR) estimators. Also, using the mean squares error criterion the proposed estimator performs more efficiently than OLS estimator, ORR estimator and other reviewed two-parameter estimators. A numerical example and simulation study are finally conducted to illustrate the superiority of the proposed estimator.
Estimation of scour depth around submerged weirs using self-adaptive extreme learning machine
Authors: Rashki Ghaleh Nou M. , Azhdary Moghaddam M. , Shafai Bajestan M. , Azamathulla H. Md. 
Published: September 2019

Abstract
In this study, the equilibrium scour depth downstream of the weir (ds-a), the maximum scour depth downstream of the weir (ds-max), the equilibrium scour depth upstream of the weir (dus-a) and the maximum scour depth upstream of the weir (dus-max) were simulated around the submerged weirs using the self-adaptive extreme learning machine (SAELM) model. In other words, the SAELM was utilized for the simulation of the scour depths around submerged weirs for the first time. In addition, Monte Carlo simulations (MCSs) were used to increase the accuracy of the artificial intelligence model. The results of modeling were validated using k-fold cross validation. At first, all effective parameters on the scour depth were determined and five distinct SAELM models were defined. Then, the optimal activation function of the SAELM model was obtained. By analyzing the results of modeling, the best models were identified to estimate ds-a/ht, ds-max/ht, dus-a/ht, and dus-max/ht, and the ratio of the average inflow velocity to the critical velocity (U0/Uc) was determined as the most effective input parameter. In the following, the results of superior models were compared with the artificial neural network (ANN) and support vector machine (SVM). The results showed that SAELM models were more accurate. The uncertainty analysis was performed for these models, some of them were overestimated and others were underestimated. In addition, some equations were presented for equilibrium models for calculation of scour depth around the submerged weirs, which are used by environmental and hydraulic engineers without previous knowledge about the artificial intelligence models. Finally, a partial derivative sensitivity analysis (PDSA) was performed for all input parameters of the superior models.
Recent Patents on Nanoporous Filtration Membranes with Complex Pores
Authors: Zhang Yongbin 
Published: September 2019

Background::
The challenges to nanoporous filtration membranes are small fluxes and
low membrane mechanical strengths.

Objective::
To introduce newly invented nanoporous filtration membranes with complex pores, improved
fluxes and mechanical strengths as registered in patents.

Methods::
The analytical results are presented for the addressed membranes.

Results::
The geometrical parameter values of the addressed membranes can be optimized for the highest fluxes.

Conclusion::
The overall performances of nanoporous filtration membranes with complex cylindrical
or/and conical pores can be significantly better than that of the conventional nanoporous filtration
membranes with single cylindrical or conical pores.
New Media, Old Artistry: The Adaptation of Yorùbá Folktale Narrative Strategies in Video Films
Authors: Taiwo Adekemi Agnes 
Published: September 2019

The argument of this study is that Yorùbá people continue to keep alive and sustain their society’s oral folkloric tradition and verbal art despite the changes undergone by Yorùbá folktales that have passed into written form and other (new) media. Verbal arts educate, reflect and promote culture, as well as, their well-known capacity to instil moral decency in a young audience. This paper explores the adaptation of Yorùbá folkloric form in film. The audience memory is reawakened through the conservation and propagation of folktale into drama form in the film, Ijàpá and Àjàntálá. Ìjàpá (tortoise) is well known for its trickish behaviour and nature while Àjàntálá is also known for his vicious behaviour. Their character was worn into human beings (artiste) to teach society moral lessons. These Yorùbá movies Ìjàpá and Àjàntálá were adapted from Yorùbá folktales to examine issues and themes that are germane to contemporary society. Ìjàpá was produced in 2011 while Àjàntálá was produced in 2015. The theory of intertextuality which is the way books, songs, films are linked or associated to one another is adopted for the research.
KEYWORDS: YORÙBÁ ORAL FOLKTALE, ADAPTATION, INTERTEXTUALITY, FILM
Une Mémoire méconnue: Témoignages sur des Attaques de 2006 en Zone rurale en République Centrafricaine
Authors: Roulon-Doko Paulette 
Published: September 2019

L’analyse d’une dizaine de récits de pillage de 2006 survenus dans une zone rurale de l’ouest de la RCA permet de comprendre comment chaque personne a vécu les événements et les réactions individuelles. Ce qui ressort de ces récits est l’expression de la peur, mais aussi une sorte d’audace qui montre la volonté de résistance des peuples et, enfin, la garantie de pouvoir compter sur l’aide de leurs ancêtres. Cette compilation de récits représente la mémoire des événements tels qu'ils se transmettent dans cette culture de tradition orale.
MOTS-CLÉS: R.C.A., PILLAGE, 2006, GBAYA, MÉMOIRE, RÉSISTANCE, ANCETRES
Unknown testimonies: remembering the 2006 attacks in rural Central African Republic
Through the analysis of about ten accounts of the 2006 pillaging that took place in a rural area of western CAR, it is possible to understand both how each person experienced the events differently and their individual reactions. What stands out of these accounts is the expression of fear, but also a kind of audacity that shows the people’s will to resist, and finally the guarantee that they can rely on the help of their ancestors. This compilation of narratives represents the memory of the events as it is passed on in this culture of oral tradition.
KEYWORDS: CAR, PILLAGING, 2006, GBAYA, MEMORY, RESISTANCE
Orality, Memory and the new African Diaspora Poetry: Examining Tanure Ojaide's Poetics
Authors: Odueme Edoama Frances 
Published: September 2019

The influence of traditional oral poetic forms on modern African poetry has been significant. Fascinated by oral forms which their respective communities relied on (to inform, teach, and correct erring members) before the advent of literacy, modern African writers borrow from these oral traditions and blend them with the features of the written Western literary forms. This appropriation of the oral poetic techniques by modern African poets continues today, as is clearly evident in the writings of many contemporary African poets, whose scripted works are seen to have drawn much in terms of content and form from the African oral poetic tradition. Following in this trend, the new African diaspora poets have also maintained the practice of skillfully blending the rich African verbal art and the modern (written) poetic forms to articulate the experiences of their African homeland as well as those of the diaspora, in order to construct and project their identities and visions of a new life in their lived world. In order to explore how through recourse to memory, “new African diasporas” (African-descended people who migrated out of Africa, during the postcolonial era and who live and practice their art outside the African homeland) utilize African oral art techniques in their writings, this essay analyses the poetry of Tanure Ojaide.
KEYWORDS: ORALITY, ORAL TRADITION, MEMORY, NEW AFRICAN DIASPORA
Deslocamentos da noção de família em decisões jurídicas: (des)construindo identidades homossexuais (Displacements from the notion of family on juridical decisions: (un)building homossexual identities)
Authors: Leite Maria Regina Baracuhy , Cordeiro Danúbia Barros 
Published: September 2019

Pretende-se, neste artigo, discutir a identidade homossexual e os deslocamentos da noção de família advindas dessa nova identidade. Como corpus deste trabalho, foram analisadas algumas decisões judiciais sobre questões homoafetivas, pesquisadas no site do IBDFAM (Instituto Brasileiro de Direito de Família), para verificar a controvérsia de posicionamento dos profissionais do Direito (juízes e desembargadores). Nosso escopo teórico é o da Análise do Discurso de orientação Francesa, com ênfase nos trabalhos de Michel Foucault e de teóricos do campo dos estudos culturais, como Stuart Hall, Tomaz Tadeu da Silva e Zygmunt Bauman, que trabalham a identidade numa perspectiva discursiva.PALAVRAS-CHAVE Conceito de família. Discurso jurídico. Identidade homossexual.ABSTRACTThis article aims to discuss the homosexual identity as well the displacement of the family concept which comes together with this new identity. Concerning its corpus, some judicial decisions, related to some homoaffective issues, and found in the site of the Brazilian Institute of the Family Law (IBDFAM) were analysed. Its aim was to verify the existing controversy concerning the Law professionals´ positions as to these issues. This work was theoretically based on the Discourse Analysis, with a main emphasis on the study and work of Michel Foucault as well as on some theoretical studies such as the ones of Stuart Hall, Tomaz Tadeu da Silva and Zygmunt Bauman, who belong to the field of cultural studies, and work with the question of identity in a discursive perspective. KEYWORDS Concept of family. Law Discourse. Homosexual Identity.
Utilización del WhatsApp y sus efectos en un modelo de liderazgo y administración institucional
Authors: Anaya Saladén Luz Carmen , Valbuena Castillo Sandra Rocío , Ortega Jiménez Henry Manuel , Hernández Rojas Naira Yadira 
Published: September 2019

El desarrollo de la presente investigación se basa en el efecto que causa el uso del aplicativo WhatsApp en un contexto laboral. Se estudia específicamente el caso de la Universidad EAN, siendo una herramienta que es utilizada como medio de comunicación entre líderes y colaboradores. La interacción a través del WhatsApp genera efectos tanto positivos como negativos y es interés de esta investigación definir su impacto en el modelo de liderazgo de la Universidad EAN. En el año 2014, esta institución tuvo cambio de dirección y está atravesando un periodo de transformación institucional, mediante esta investigación se definirá el modelo de liderazgo y administración ejercido al interior de la institución y el efecto del aplicativo como medio de comunicación.