bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development and Evaluation of Portable Low Cost Testing System for Phthalates
Authors: Zia Asif I. , Mukhopadhyay S.C. , Yu P.L. , Al-Bahadly I. H. , Gooneratne C. , Kosel Jǘrgen 
Published: February 2020

Abstract
A portable low-cost microcontroller based testing system was designed and constructed to detect phthalates in aqueous media. Phthalates, especially di (2-ethylhexyl) phthalate is the most ubiquitous endocrine disrupting compound (EDC) posing highest reproductive toxicity threat to all living species on earth. Frequency response analyser (FRA) approach was used to develop the rapid response, non-invasive electrochemical impedimetric system for detection. A smart thin film gold interdigital electrodes capacitive sensor with enhanced penetration depth was used with the proposed system for detection of the said EDC. The performance of the developed system was evaluated by comparing the results to the commercially available electrochemical Impedimetric frequency response analyzer equipment. Complex nonlinear least square (CNLS) curve fitting algorithm was used to deduce the equivalent circuit for the developed system. The DEHP detection results by the developed system were validated using high performance liquid chromatography (HPLC) diode array detection confirming that the proposed system was able to detect the concentration of phthalates in aqueous medium.
Modular Multi-Channel GPS Environmental Logger
Authors: Kot P. , Cullen J.D. , Al Jader M. , Shaw A. , Mason A. , Al-Shamma’a A. , Cockcroft T. , Jackson S. , Cleave M. 
Published: February 2020

Abstract
In this paper, an experimental methodology for the modular multi-channel GPS environmental logger is presented, and the preliminary real route test is demonstrated. The paper concentrates on methods used for transmitting real time data from electrochemical analyser and GPS unit into Graphical User Interface. Test was made in environmental conditions and route of the vehicle was plotted on the map with the data from emission analyser. All results are presented and concluded.
A new fault diagnosis method using deep belief network and compressive sensing
Authors: Ma Yunfei , Jia Xisheng , Bai Huajun , Wang Guanglong , Liu Guozeng , Guo Chiming 
Published: February 2020

Compressive sensing provides a new idea for machinery monitoring, which greatly reduces the burden on data transmission. After that, the compressed signal will be used for fault diagnosis by feature extraction and fault classification. However, traditional fault diagnosis heavily depends on the prior knowledge and requires a signal reconstruction which will cost great time consumption. For this problem, a deep belief network (DBN) is used here for fault detection directly on compressed signal. This is the first time DBN is combined with the compressive sensing. The PCA analysis shows that DBN has successfully separated different features. The DBN method which is tested on compressed gearbox signal, achieves 92.5 % accuracy for 25 % compressed signal. We compare the DBN on both compressed and reconstructed signal, and find that the DBN using compressed signal not only achieves better accuracies, but also costs less time when compression ratio is less than 0.35. Moreover, the results have been compared with other classification methods.
Ripening of household slow sand filter by adding fish food
Authors: Calixto Kalyl Gomes , Sabogal-Paz Lyda Patricia , Pozzi Eloisa , Campos Luiza Cintra 
Published: February 2020

Abstract
Vulnerable communities can improve their quality of life using point-of-use water treatment technologies. Among these technologies, household slow sand filters (HSSF), which are filters adapted to domestic operations, stand out as one of the most effective and sustainable alternatives. However, some technical issues are not fully understood, such as the ripening process, which may take a long time to take place. In this context, this research evaluated the performance of a HSSF, in real scale and operated in continuous flow when a source of nutrients (fish food) was added to influent water, as a potential ripening agent. Physicochemical and microbiological parameters were evaluated to estimate the filter efficiency. According to the results, the HSSF reached a partial ripeness level in a short time with target parameter reduction in filtered water. Nevertheless, the instability observed in the filtered water quality reveals the significant health risks associated with human consumption when the HSSF is not yet ripened.
Artificial Neural Network Models for Coronary Artery Disease
Authors: Shamsara Elham , Soflaei Sara Saffar , Tajfard Mohammad , Yamshchikov Ivan , Esmaily Habibollah , Saberi-Karimian Maryam , Ghazizadeh Hamideh , Mirhafez Seyed Reza , Farjami Zahra , Ferns Gordon A. , Ghayour-Mobarhan Majid 
Published: February 2020

Background:
Coronary artery disease (CAD) is an important cause of mortality and
morbidity globally.

Objective :
The early prediction of the CAD would be valuable in identifying individuals at risk,
and in focusing resources on its prevention. In this paper, we aimed to establish a diagnostic model
to predict CAD by using three approaches of ANN (pattern recognition-ANN, LVQ-ANN, and
competitive ANN).

Methods:
One promising method for early prediction of disease based on risk factors is machine
learning. Among different machine learning algorithms, the artificial neural network (ANN)
algorithms have been applied widely in medicine and a variety of real-world classifications. ANN
is a non-linear computational model that is inspired by the human brain to analyze and process
complex datasets.

Results:
Different methods of ANN that are investigated in this paper indicate in both pattern
recognition ANN and LVQ-ANN methods, the predictions of Angiography+ class have high
accuracy. Moreover, in CNN, the correlations between the individuals in cluster ”c” with the class
of Angiography+ are strongly high. This accuracy indicates the significant difference among some
of the input features in Angiography+ class and the other two output classes. A comparison among
the chosen weights in these three methods in separating control class and Angiography+ shows that
hs-CRP, FSG, and WBC are the most substantial excitatory weights in recognizing the
Angiography+ individuals although, HDL-C and MCH are determined as inhibitory weights.
Furthermore, the effect of decomposition of a multi-class problem to a set of binary classes and
random sampling on the accuracy of the diagnostic model is investigated.

Conclusion:
This study confirms that pattern recognition-ANN had the most accuracy of
performance among different methods of ANN. This is due to the back-propagation procedure in
which the network classifies input variables based on labeled classes. The results of binarization
show that decomposition of the multi-class set to binary sets could achieve higher accuracy.
Green Synthesis of ZnO/Dy/NiO Heterostructures for Enhanced Photocatalytic Applications
Authors: Pranesh Shubha Jayachamarajapura , Lanka Diwya 
Published: February 2020

Background:
Textile industries discharge harmful synthetic dyes to nearby water sources. These
colour effluents should be treated before discharge to reduce the toxicity caused by synthetic colours.

Objective:
To synthesize visible light active superstructures to reduce water pollution caused by textile industries.

Methods:
We have successfully synthesized ZnO/Dy/NiO hybrid nanocomposites using waste curd as fuel
by a simple combustion method. The obtained material was able to reduce recombination and enhanced the
photocatalytic degradation of organic pollutants. The as-synthesized material was characterized by XRD,
absorption spectroscopy, FESEM, EDAX, etc. The obtained hybrid nanostructure was used as a photocatalyst
for the degradation of methylene blue under sunlight, UV light as well as in dark. Comparative experiments
were carried out with a variation of catalytic load, pH, dye concentrations, etc. for a better understanding
of the performance of the catalyst at various conditions.

Results and Conclusion:
The ternary compound shows wide range of absorption by expanding absorption
band both in UV and visible regions. ZnO/Dy/NiO hybrid nanocomposites performed well and showed
uniqueness in the activity uder visible light.
Documentos orales y escritos en la preservación de la memoria escolar
Authors: Odetti Cecilia Ángela , Magalhães Lívia Diana Rocha 
Published: February 2020

Resumen
En este artículo se analizan los documentos orales y escritos como formas de preservar la memoria escolar. Desde esta perspectiva se conceptualiza acerca de la memoria como documento-huella, como fuente de expresión de un tiempo y de una realidad, de una sociedad, de grupos y colectivos educacionales y, por lo tanto, genera marcas que estructuran relaciones sociales y pedagógicas, al mismo tiempo que dejan pistas en los procesos de reconstrucción de los sentidos atribuidos a la escuela en el presente y futuro. Además, se retoman orientaciones teórico-metodológicas que fueron utilizadas para el análisis de los documentos y definiciones necesarias en el tratamiento y construcción de los mismos durante un proceso de investigación. Para finalizar, se concluye que los documentos orales y escritos son indispensables para la preservación de la memoria escolar en tanto permiten analizar sus tensiones y continuidades, instancia que supone comprender quienes son los sujetos que hablan y cómo vinculan sus posicionamientos en núcleos significativos a través del tiempo.
Palabras clave: Memoria escolar. Documentos orales y escritos.

Resumo
Neste artigo, os documentos orais e escritos são analisados como formas de preservar a memória escolar. Nessa perspectiva, utiliza-se da discussão teórica acerca da memória como documento, como fonte de expressão de um tempo e de uma realidade, de uma sociedade, de grupos e coletivos educacionais, e que, portanto, é geradora de marcas que estruturam relações sociais e pedagógicas, deixando pistas para os processos de reconstrução de sentidos atribuídos à escola ontem, no presente e futuro. Também se retoma diretrizes teórico-metodológicas que foram utilizadas para análise dos documentos, para seu tratamento, enfim, o percurso adotado durante o processo de pesquisa. Por fim, considera-se documentos orais e escritos são essenciais para a discussão da memória escolar, pois permitem analisar suas tensões e continuidades, instância que envolve entender quem são os sujeitos que falam e como vinculam suas posições em núcleos significativos ao longo do tempo.
Palavras-chave: Memoria escolar. Documentos orais e escritos.
The Relationship between Self-efficacy and Learning Environment with Students' Self-directed Learning
Authors: Mirzawati Nanda , Neviyarni Neviyarni , Rusdinal Rusdinal 
Published: February 2020

The lack of self-directed learning of students shown by students is one problem associated with self-efficacy and the learning environment. The purpose of the research is to reveal the relationship between self-efficacy and the learning environment, and self-directed learning. This study uses the correlational method and data collected from a sample of 198 students, which were found using proportional random sampling techniques. Data were collected using a self efficacy scale (24 valid items = 0.851), a learning environment scale (32 valid items = 0.830), and a self-directed learning scale (64 valid items = 0.936). Data were then analyzed using multiple regression. The results showed the correlation coefficient r = 0.535 and p = 0.00 (p> 0.05), which showed that there was a positive and significant relationship between self-efficacy and the learning environment together with self-directed learning. So it can be explained that the higher the self-efficacy and learning environment, the higher the student's self-directed learning.
The Influence of Thermal Processing on Antioxidant Capacity of Tomatoes Based Products
Authors: Florica Buşuricu , Andreea Anghel , Doina Margaritti , Sirma Tomoş , Verginica Schroder 
Published: February 2020

Abstract
We intend to study the influence of thermal processing on the antioxidant capacity of tomato products. The products were analyzed for lycopene content and antioxidant activity. Lycopene was extracted using a mixture of hexane: ethyl alcohol: acetone, in ration of 1:25 (w: v). The antioxidant capacity was evaluated by the DPPH method. The obtained results show a higher quantity of lycopene in the processed products (8, 4800 ±0, 48079 - 11,8217 ±0. 37010 mg/100g), compared to the fresh ones (2.9400±0.1510-4.0933±0.16773 mg/100g) and the antioxidant activity registers higher values in the aqueous extracts (21-45%).
The thermal processing concentrates the content of lycopene and preserves the antioxidant activity, so that for the optimal nutritional intake of antioxidant phytonutrients, the consumption of processed tomatoes is indicated, to the detriment of the fresh tomatoes.
Economic freedom in Europe
Authors: Apostu Simona-Andreea , Mihai Mihaela , Vasile Valentina , Tureatca Manuela-Violeta , Sava Valentin 
Published: February 2020

Abstract
The fiscal analysis is an important research topic, aiming at identifying/creating fair fiscal systems, which can respond to requests coming from both the state (which needs revenue to finance various public projects) and from taxpayers. The economic agents, but also the taxpayers will always want a reduction of the taxes, and the public decider aims to increase the revenues attracted to the budget through (higher) taxes. An optimal tax system could be characterized by taxes that produce minimal effects of distorting the behavior of taxpayers, as well as a positive impact on the development of society.
Voluntary employee attrition. Descriptive and predictive analysis
Authors: Căplescu Raluca-Dana , Ilie Miruna , Strat Vasile Alecsandru 
Published: February 2020

Abstract
Voluntary attrition represents the percent of employees voluntarily leaving a company. Counteracting this phenomenon with hiring new employees has a great negative impact on the company for several reasons. Firstly, it hinders timely delivery of current projects and, consequently, damages reputation and diminishes client portfolio. Secondly, it increases costs by generating the need for many recruitment specialists. Thus, adapting the HR strategy is essential, especially as increasingly more Millennials enter the labor market. The present paper aims at presenting options for studying voluntary attrition and the situations when they can be used. We indicate both descriptive methods (turnover and retention rates, cohort analysis), in order to present tools that any HR manager can easily employ, and predictive methods (logistic regression, survival analysis), which are more accurate and provide more actionable insight towards minimizing attrition, but require data and skills. The results are presented comparatively, highlighting the advantages and disadvantages of each category. Most literature focuses on a single method, thus the main contribution of this article is that it compares several methods, allowing for an informed decision of the HR specialist, depending on the company’s resources, personnel qualification and specific context.
The economic impact of migration in the Era of Globalization
Authors: Lupoiu Diana Valentina , Raceanu Cristi 
Published: February 2020

Abstract
The phenomenon of globalization has greatly influenced migration in recent years in the European Union. In this article we aim to analyze the benefits of migration in the economy by emphasizing the impact of remittances on the economic development of a country. Remittances are considered as an external source of important, stable funds that help the economic development of a country. We identify also the macroeconomic determinants of remittances. For the statistical and econometric analysis of these factors, we have chosen to use the Panel Data Regression for the countries of the European Union. To analyze the benefits of remittances, the most appropriate macroeconomic indicator is GDP. So in the first part of the article we will present the impact of globalization and migration on remittances, and in the second part we will highlight the economic growth through the presence of remittances. This article examines the role of migrants as a particular segment of the market and as a resource for development. All aspects to be analyzed will outline an overview of population emigration and factors that influence the development of the economy at a time when globalization is on the rise.
Statistical analysis of investments in transport infrastructure, passenger numbers, and energy consumption by modes of transport in Romania
Authors: Stătescu Alexandru-Eugen 
Published: February 2020

Abstract
Economic and financial analysis is a method of knowing the mechanism of formation and modification of the economic phenomena by their decomposition into the component elements and by identifying the factors of influence. The object of decomposition by elements or factors may be a result (structural analysis), or a change in the result from a basis of comparison (causal analysis).
In the present paper I propose an analysis of the investments according to the number of passengers and the consumption of energy on national transport modes in Romania within a period of 15 years, respectively between 2000 and 2015. For this purpose the data that will be used was published by the National Institute of Statistics, namely three indicators: investments in transport infrastructure, the weight of each mode in passenger transport and the consumption of energy by modes of transport. Energy consumption by modes of transport is the final energy consumption of transport activity by modes of transport, expressed in tones oil equivalent (toe). The quantities of energy used in international maritime and air transport and pipeline transport are not included. The main types of fuels used are the main fuels covered by petroleum products, electricity and small amounts of gas and biofuels.
The weight of each mode in passenger transport is defined as the percentage share of each mode of transport in total domestic passenger transport. The modes of transport considered are: a) cars, b) buses and coaches, and c) trains (metro and trams and light metro are excluded). Domestic passenger transport includes data referring only to national transport, irrespective of the nationality of the transport vehicle. The weight is calculated from the passenger-km indicator (pkm), defined as the transport of a passenger over one kilometer.
The investments in the transport infrastructure represent the construction works carried out for the development of the transport infrastructure.
In order to carry out the statistical analysis of the investments in the transport infrastructure, the number of passengers and the energy consumption in transport modes in Romania, multiple linear regression models and time series analysis will be used.
Cerebellar Haemorrhage Leading to Sudden Cardiac Arrest
Authors: Agrawal Ankit , Cardinale Maria , Frenia Douglas , Mukherjee Aveek 
Published: February 2020

Abstract

Introduction
Intracranial haemorrhage (ICH) is a known, but a rare cause of out of hospital cardiac arrest (OHCA). It results in the development of non-shockable rhythms such as asystole or pulseless electrical activity (PEA).

Case Report
A 77- years old male had an OHCA without any prodrome. An emergency medical services (EMS) team responded to an emergency call and intubated the patient at the site before transporting him to the Acute Care Hospital, New Brunswick, New Jersey, USA. On admission, a non-contrast computed tomography scan of the head revealed a large cerebellar haemorrhage. Non-traumatic ICH is a rare cause of OHCA. Although subarachnoid haemorrhage causing cardiac arrest has been described in the literature, cerebellar haemorrhage leading to cardiac arrest is rare. The mechanism by which ICH patients develop cardiac arrest is likely explained by a massive catecholamine surge leading to cardiac stunning.

Conclusion
A non-shockable rhythm in the seting of a sudden cardiac arrest should raise alarms for a primary non-cardiac ethology, especially a primary cerebrovascular event. The absence of brainstem reflexes increases the likelihood of an intracranial process.
Guillain–Barré and Acute Transverse Myelitis Overlap Syndrome Following Obstetric Surgery
Authors: Stoian Adina , Motataianu Anca , Bajko Zoltan , Balasa Adrian 
Published: February 2020

Abstract

Introduction
There are rare reports of the occurrence of acute transverse myelitis and Guillain–Barré syndrome after various surgical procedures and general/epidural anaesthesia. The concomitant occurrence of these pathologies is very rare and is called Guillain–Barré and acute transverse myelitis overlap syndrome. In this article, we present the case of a second trimester pregnant patient who developed Guillain–Barré and acute transverse myelitis overlap syndrome.

Case presentation
We report the case of a 16-year-old female patient who underwent a therapeutic termination of pregnancy two weeks prior to the onset of the disease with gradual development of a motor deficit with walking and sensitivity disorders, fecal incontinence. The diagnosis was based on clinical exam, electroneurography and spinal magnetic resonance imaging. Endocrinopathies, infectious diseases, autoimmune and inflammatory diseases, neoplastic diseases and vitamin deficiencies were ruled out. Our patient attended five sessions of therapeutic plasma exchange, followed by steroid treatment, intravenous immunoglobulin with minimum recovery of the motor deficit in the upper limbs, but without significant evolution of the motor deficit in the lower limbs. The patient was discharged on maintenance corticotherapy and immunosuppressive treatment with azathioprine.

Conclusions
We report a very rare association between Guillain–Barré syndrome and acute transverse myelitis triggered by a surgical intervention with general anaesthesia. The overlap of Guillain–Barré syndrome and acute transverse myelitis makes the prognosis for recovery worse, and further studies are needed to establish the first-line therapy in these cases.
Concentration distribution and deposition limit of medium-coarse sand-water slurry in inclined pipe
Authors: Vlasák Pavel , Matoušek Václav , Chára Zdeněk , Krupička Jan , Konfršt Jiří , Kesely Mikoláš 
Published: February 2020

Abstract
Sand-water slurry was investigated on an experimental pipe loop of inner diameter D = 100 mm with the horizontal, inclined, and vertical smooth pipe sections. A narrow particle size distribution silica sand of mean diameter 0.87 mm was used. The experimental investigation focused on the effects of pipe inclination, overall slurry concentration, and mean velocity on concentration distribution and deposition limit velocity. The measured concentration profiles showed different degrees of stratification for the positive and negative pipe inclinations. The degree of stratification depended on the pipe inclination and on overall slurry concentration and velocity. The ascending flow was less stratified than the corresponding descending flow, the difference increasing from horizontal flow up to an inclination angle of about +30°. The deposition limit velocity was sensitive to the pipe inclination, reaching higher values in the ascending than in the horizontal pipe. The maximum deposition limit value was reached for an inclination angle of about +25°, and the limit remained practically constant in value, about 1.25 times higher than that in the horizontal pipe. Conversely, in the descending pipe, the deposition limit decreased significantly with the negative slopes and tended to be zero for an inclination angle of about −30°, where no stationary bed was observed.