bluuebunny/crossref_metadata_2025_split huggingface dataset:
Adult-Onset Autoimmune Enteropathy in an European Tertiary Referral Center
Authors: van Wanrooij Roy L.J. , Neefjes-Borst E. Andra , Bontkes Hetty J. , Schreurs Marco W.J. , Langerak Anton W. , Mulder Chris J.J. , Bouma Gerd 
Published: August 2021

INTRODUCTION:
Adult-onset autoimmune enteropathy (AIE) is a rare cause of severe chronic diarrhea because of small intestinal villous atrophy. We report on patients with adult-onset AIE in an European referral center.

METHODS:
Retrospective study including patients diagnosed with AIE in the Amsterdam UMC, location VUmc, between January 2003 and December 2019. Clinical, serological, and histological features and response to treatment were reported. The specificity of antienterocyte antibodies (AEA) was evaluated by examining the prevalence of AEA in (i) controls (n = 30) and in patients with (ii) AIE (n = 13), (iii) celiac disease (CD, n = 52), (iv) refractory celiac disease type 2 (n = 18), and (v) enteropathy-associated T-cell lymphoma (EATL, n = 10).

RESULTS:
Thirteen AIE patients were included, 8 women (62%), median age of 52 years (range 23–73), and 6 (46%) with an autoimmune disease. AEA were observed in 11 cases (85%), but were also found in CD (7.7%), refractory celiac disease type 2 (16.7%), and EATL (20%). Ten patients (77%) were human leukocyte antigen DQ2.5 heterozygous. Total parenteral nutrition was required in 8 cases (62%). Steroids induced clinical remission in 8 cases (62%). Step-up therapy with rituximab, cyclosporine, infliximab, and cladribine in steroid-refractory patients was only moderately effective. Four patients died (31%), but 4 (31%) others are in long-term drug-free remission after receiving immunosuppressive treatment, including 1 patient who underwent autologous stem cell transplantation.

DISCUSSION:
Adult-onset AIE is a rare but severe enteropathy that occurs in patients susceptible for autoimmune disease. Four patients (31%) died secondary to therapy-refractory malabsorption, while immunosuppressive therapy leads to a long-lasting drug-free remission in one-third of patients.
Impact of a public health environmental contingency (COVID-19) on Stress and a General Health of workers from different industrial sector.
Authors: Ibarra Victor 
Published: August 2021

Abstract.
The problems that arise in society, in relation to health affect workers to some extent, this is the case of the COVID -19 pandemic, which has somehow affected organizations in general, such as: in their profits, in the reduction of personnel, in adapting new forms of work if required, and in activating health protocols to avoid the spread of it in its workers, this health situation that is present worldwide has had a great impact on people from the psychological aspect, it is for this the interest to carry out this research, with the purpose of knowing the perception of the workers of different organizations in this pandemic situation, that is to say, how it has affected them in relation to stress and therefore their general health, the instruments applied were: Perceived Stress Scale (10 items) and the Goldberg General Health Questionnaire.
The results of this work gave us a Cronbach alpha of α = .85 of reliability which indicates that this study is reliable, likewise 60% of the population report that they have felt stress due to COVID-19, as well as 42% of the population state that they have perceived factors or symptoms that affect their mental health to some degree.
Overview on modeling and management of Smart Grids
Authors: Khaldi Jihen El , Bouslimi Lotfi , Wertani Hamza , Lakhoua Mohamed Najeh 
Published: August 2021

The concept of Smart Grids refers to a complex ecosystem that can be described as a combination of systems to capture its most structural elements. When studying these complex systems, the traditional tools of the Cartesian methods have shown their limits. There is therefore a need to resort to other methods to model them. These modeling methods are generally classified and grouped into five families: functional modeling, decision modeling, resource modeling, information modeling and mixed modeling. This review provides an overview of the state of the art of an intelligent network. The classification of modeling methods is also presented. Then an application of the bond graph approach will be explained. Finally we describe a general idea on the management of smart grids.
Assessing the effects of flipped classroom at the Tunisian university
Authors: Ben Kahla Karim , Khanchel Hanen 
Published: August 2021

At the beginning of 2020, e-learning was not yet valued in the culture of Tunisian university. However, the COVID-19 Pandemic was the cause of the accelerated deployment of e-learning-related devices. Moreover, it seems that the context of health crisis experienced in the world and particularly in Tunisia represents a factor pushing Tunisian university to reduce, or even eliminate, face-to-face courses for precautionary measures. This is likely to allow students to improve their knowledge, especially for those who require great concentration and time for reflection. The paper shows a very different approach with an analysis of the students’ difficulties by focusing on the mistakes made in solving the problems in the case study. The study makes an original contribution to knowledge. It breaks new intellectual ground. Indeed, flipped learning in particular seems to affect students on a psychological level, making them more engaged, more motivated, and better able to self-regulate. This is the intuition of many flipped learning instructors, but intuition is just a hypothesis. Nevertheless, the results indicate that there is a gap as regards the flipped classroom approach.
Financial literacy among high school teenagers in a developing country context - an empirical study with reference to high school students in Addis Ababa, Ethiopia
Authors: ELifneh Yohannes Workeaferahu 
Published: August 2021

Both developed and developing countries and economies have become increasingly concerned about the level of financial literacy of their citizens. Previous studies indicate that unlike the case in the industrialized world, the issue of financial literacy is a contemporary issue in the developing world, and it is an understudied field in this context. This study was initiated to survey the level of basic financial literacy among high school students in Addis Ababa, Ethiopia’s capital. Such a study corresponds to global initiatives such as by OECD requesting scholars to show case the level of financial literacy among young people in different countries/contexts. The data collection instrument was a standard questionnaire that measures the level of basic financial literacy of high school teenagers in Ethiopia. The questionnaire is based on the instrument originally developed by Lusardi and Mitchell, (2005); and this study uses the slightly updated version used by Van Rooij, Lusardi and Alessie, (2011) that measures basic financial literacy from angles of numeracy, interest compounding, inflation, time value of money, and money illusion. The study concludes that the level of financial literacy is not fairly good among the high school students. The high school students in the capital are not well versed with the basic financial literacy dimensions/measurements, mainly with the assessments of interest compounding, inflation, time value of money, and money illusion. The worst assessment results are a 90.8% failure in the money illusion question, a 70.9% failure in interest compounding assessment question, and a 62.7% failure in the time value of money assessment question. These are followed by a 58.4% failure in the inflation assessment question and a 31.3% failure in the easiest assessment question of numeracy. By and large, these findings testify that the high school students in Addis Ababa have serious deficiency in basic financial literacy. Policy makers and educators may need to seriously pay attention to this shocking deficiency in the level of basic financial literacy among the high school students and take measures to educate the youth this basic life skill at young age while they are still at school.JEL Classification Code: D14
HW2,2
loc-regularity for p-harmonic functions in Heisenberg groups
Authors: Liu Jiayin , Peng Fa , Zhou Yuan 
Published: August 2021

Abstract
Let

1
<
p
≤
4

{1<p\leq 4}

when

n
=
1

{n=1}

, and

1
<
p
<

3
+

1

n
-
1

{1<p<3+\frac{1}{n-1}}

when

n
≥
2

{n\geq 2}

.
We obtain the second-order horizontal Sobolev

HW
loc

2
,
2

{\operatorname{HW}^{2,2}_{\mathrm{loc}}}

-regularity of p-harmonic functions in the Heisenberg group

ℍ
n

{{\mathbb{H}}^{n}}

.
This improves the known range of p obtained by Domokos and Manfredi in 2005.
Approximate nonradial solutions for the Lane-Emden problem in the ball
Authors: Fazekas Borbála , Pacella Filomena , Plum Michael 
Published: August 2021

Abstract
In this paper we provide a numerical approximation of bifurcation branches from nodal radial solutions of the Lane Emden Dirichlet problem in the unit ball in ℝ2, as the exponent of the nonlinearity varies. We consider solutions with two or three nodal regions. In the first case our numerical results complement the analytical ones recently obtained in [11]. In the case of solutions with three nodal regions, for which no analytical results are available, our analysis gives numerical evidence of the existence of bifurcation branches. We also compute additional approximations indicating presence of an unexpected branch of solutions with six nodal regions. In all cases the numerical results allow to formulate interesting conjectures.
Experimental determination and modeling of flow curves of xanthan gum solutions over a large range of shear rates
Authors: Sepulveda Julian , Montillet Agnes , Valle Dominique Della , Amiar Thanina , Ranchon Hubert , Loisel Catherine , Riaublanc Alain 
Published: August 2021

AbstractThe viscosities of solutions formulated with xanthan gum and xanthan gum with whey protein isolates are experimentally characterized and modeled over a wide range of shear rates [10−3to 105s−1]. As shown by numerous studies [1, 2], the generation of vortices in the cone-plate geometry is making viscosity measurements beyond a certain shear rate unreliable. In the present work, an innovative technique, based on microfluidics and developed by the company Formulaction, has been employed to extend to high shear rates, the viscosity flow curve obtained with a rotational rheometer. The main highlights of this study are firstly, to propose a scaling law for the inertial transition in the cone-plate geometry for different diameters and angles through the determination of the maximum shear rate at which one can expect a true viscosity value. Secondly, the high shear rate measurements allow the determination of the second Newtonian plateau for these solutions thanks to the Williams-Carreau model. An attempt for the second plateau modeling is proposed following the concept of an intrinsic viscosity in the high shear equilibrium. In the same way, other fitted parameters from the Williams-Carreau law are modeled as a function of the polymer concentration. This procedure allows to provide a predictive model for the rheological behavior of xanthan gum-based solutions used in high shear processes like high pressure homogenization, emulsification, foaming, microfluidics, etc in food, pharmaceutical or cosmetics applications.
Macroalgal canopies reduce beta diversity in intertidal communities
Authors: Scrosati Ricardo A. , Catalán Alexis M. , Valdivia Nelson 
Published: August 2021

Abstract
Species diversity in a habitat is often termed alpha diversity. As it influences various community properties, many studies have investigated its drivers. For instance, intertidal macroalgal canopies limit understory thermal stress during low tides and thus often increase alpha diversity. More recently, beta diversity has also become of interest. Beta diversity measures the change in species composition across space and is another important attribute of communities because it influences their multifunctionality, productivity, and resilience. Using data from a field experiment done in Atlantic Canada, we tested the hypothesis that fucoid macroalgal canopies limit beta diversity in intertidal communities. This prediction stems from previous evidence that such canopies limit thermal variation across the substrate during low tides, an important consideration because spatial thermal changes influence spatial variability in species composition. To test our hypothesis, we compared two treatments (full canopy cover and canopy removal) created the year before on intertidal areas that were originally all fully covered by canopies. Separately for each treatment, we calculated beta diversity as the Bray-Curtis dissimilarity between nearby quadrats using species abundance data. Overall, fucoid macroalgal canopies significantly reduced beta diversity, showing that these foundation species can have opposing effects on alpha and beta diversity.
The multicenter European Biological Variation Study (EuBIVAS): a new glance provided by the Principal Component Analysis (PCA), a machine learning unsupervised algorithms, based on the basic metabolic panel linked measurands
Authors: Carobene Anna , Campagner Andrea , Uccheddu Christian , Banfi Giuseppe , Vidali Matteo , Cabitza Federico 
Published: August 2021

Abstract

Objectives
The European Biological Variation Study (EuBIVAS), which includes 91 healthy volunteers from five European countries, estimated high-quality biological variation (BV) data for several measurands. Previous EuBIVAS papers reported no significant differences among laboratories/population; however, they were focused on specific set of measurands, without a comprehensive general look. The aim of this paper is to evaluate the homogeneity of EuBIVAS data considering multivariate information applying the Principal Component Analysis (PCA), a machine learning unsupervised algorithm.

Methods
The EuBIVAS data for 13 basic metabolic panel linked measurands (glucose, albumin, total protein, electrolytes, urea, total bilirubin, creatinine, phosphatase alkaline, aminotransferases), age, sex, menopause, body mass index (BMI), country, alcohol, smoking habits, and physical activity, have been used to generate three databases developed using the traditional univariate and the multivariate Elliptic Envelope approaches to detect outliers, and different missing-value imputations. Two matrix of data for each database, reporting both mean values, and “within-person BV” (CVP) values for any measurand/subject, were analyzed using PCA.

Results
A clear clustering between males and females mean values has been identified, where the menopausal females are closer to the males. Data interpretations for the three databases are similar. No significant differences for both mean and CVPs values, for countries, alcohol, smoking habits, BMI and physical activity, have been found.

Conclusions
The absence of meaningful differences among countries confirms the EuBIVAS sample homogeneity and that the obtained data are widely applicable to deliver APS. Our data suggest that the use of PCA and the multivariate approach may be used to detect outliers, although further studies are required.
Environmental and thermodynamic performance assessment of biomass gasification process for hydrogen production in a downdraft gasifier
Authors: Marzoughi Tayebeh , Samimi Fereshteh , Rahimpour Mohammad Reza 
Published: August 2021

AbstractGasification is one of the most efficient techniques for sustainable hydrogen production from biomass. In this study, a comparative performance analysis of the gasification process using various types of biomass materials was undertaken via thermodynamic approach. Air, steam, and air/steam as the traditional gasifying agents were applied to provide an opportunity to choose the most proper agent in the process. This paper also evaluates the environmental impacts of the process in terms of CO2emission by using Aspen Energy Analyzer. The effects of agent to biomass molar ratio, agent inlet temperature, moisture content of biomass material, and gasification temperature were estimated based on the producer gas compositions, hydrogen yield and heating values. The results indicate that the highest hydrogen yield (0.074 g H2/g biomass) was obtained in the steam gasification of plastic, while air gasification of paper generates the lowest one. It was also observed that manure is the most beneficial from environmental perspectives, while tire and plastic have the highest contribution to CO2emission and consequently global warming. The higher values of hydrogen production and LHV of produced gas are associated respectively with using steam, air/steam, and air as the gasification agents. The lowest value of CO2emission is obtained for air, air/steam, and steam as the gasifying agents, respectively.
Illustrating catalysis with a handmade molecular model set: catalytic oxidation of carbon monoxide over a platinum surface
Authors: Horikoshi Ryo , Nakajima Syota , Hosokawa Saburo , Kobayashi Yoji , Kageyama Hiroshi 
Published: August 2021

Abstract
Catalytic converters (automotive catalysts) and the chemical reactions they catalyze appear in general and introductory chemistry textbooks. Although the detailed mechanisms of the chemical reactions that occur in catalytic converters have been clearly revealed via recent developments in surface and computational chemistry research, the description and illustration of the catalysis are still ambiguous in textbooks. In this paper, we describe an extracurricular lecture whereby a handmade teaching aid was employed to illustrate the basic principle of the catalytic oxidation of carbon monoxide over platinum surface, which is an essential reaction occurring in catalytic converters. The teaching aid, constructed combining easily available materials, can illustrate the positions and motions of the molecules on the platinum surface during catalytic oxidation. The lecture was favorably received by non-chemistry majors and high school students. Despite the difficulty of the topic, the audience displayed a relatively high level of understanding.
Generalized Bernoulli process: simulation, estimation, and application
Authors: Lee Jeonghwa 
Published: August 2021

Abstract
A generalized Bernoulli process (GBP) is a stationary process consisting of binary variables that can capture long-memory property. In this paper, we propose a simulation method for a sample path of GBP and an estimation method for the parameters in GBP. Method of moments estimation and maximum likelihood estimation are compared through empirical results from simulation. Application of GBP in earthquake data during the years of 1800-2020 in the region of conterminous U.S. is provided.
Topology optimized thermoelectric generator: a parametric study
Authors: Mativo John , Hallinan Kevin , George Uduak , Reich Greg , Steininger Robin 
Published: August 2021

AbstractTypical thermoelectric generator legs are brittle which limits their application in vibratory and shear environments. Research is conducted to develop compliant thermoelectric generators (TEGs) capable of converting thermal loads to power, while also supporting shear and vibratory loads. Mathematical structural, thermal, and power conversion models are developed. Topology optimization is employed to tailor the TEG design yield maximal power production while sustaining the applied shear and vibratory loads. As a specific example, results are presented for optimized TEG legs with a void volume fraction of 0.2 that achieve compliance shear displacement of 0.0636 (from a range of 0.0504 to 0.6079). In order to achieve the necessary compliance to support the load, the power reduction is reduced by 20% relative to similarly sized void free TEG legs.
Design and simulation of piezoelectric nano cylindrical hollow structure for energy harnessing applications
Authors: Tyagi Naveen , Mahajan Aparna N. , Gaur Anshu Mli 
Published: August 2021

Abstract
This article investigates piezoelectric materials for harnessing vibrational energy. A nano hollow cylindrical structure based on various piezoelectric materials was designed and utilised to generate the voltage. An accurate and efficient model is developed here, so as to optimized the efficiency of the piezoelectric energy harvester. This work analyses the piezoelectric actuator deflection and involves the Eigen frequency computation. A measurement methodology for investigating the mechanical and electrical behaviour of vibrational harvester's was modelled and analysed by finite element method using COMSOL software. The energy harvesting structure was developed and tested with different piezoelectric materials to attain appreciable voltage through a small deflection. The Simulated results predicts that for the same pressure range, different piezoelectric materials have the different output voltage and Eigen frequencies. The maximum voltage was observed for Barium Titanate (3.0847 V at 250 µm), along with poled Polyvinylidene fluoride. In addition, a comparison was made with different piezoelectric materials ideally suited to intelligent cantilever structure. For optimizing the performance of the piezoelectric energy harvester an accurate and efficient model is required, which was developed in this simulation study. A high voltage value with a small deflection through a cylindrical hollow structure was designed and tested using various piezoelectric materials in this study.
A survey on the characterization parameters and lifetime improvement techniques of wireless sensor network
Authors: Singh Manish Kumar , Amin Syed Intekhab , Choudhary Amit 
Published: August 2021

AbstractEmerging technologies, such as the Internet of things (IoT), machine learning (ML) and machine-to-machine networks encourage deployment of large-scale wireless sensor networks (WSNs). The major problem in WSN is the limited energy of node batteries. Therefore, the efficient use of node energy for data sensing, processing and communication operations is important to maintain a fully operational network for longest period of time. Literature presents a wide range of lifetime maximization techniques for WSN such as resource allocation algorithm, clustering and routing, sleep–wake scheduling, energy harvesting, MIMO technique, Distributed source coding, genetic algorithm and sink mobility. These techniques effectively lessen the energy consumption and enhance the lifetime of the entire wireless sensor network in various applications. Besides energy consumption, the characterization parameters such as coverage and connectivity, communication and modulation schemes, operational environment, network parameters, node parameters and service parameters also have great impact on WSN performance. This paper presents a comprehensive survey of state-of-the-art research works that improves the performance of WSN by optimizing various network characterization parameters and lifetime maximization techniques. These results highlight the key issues which affects WSN performance and provide a roadmap for WSN designers for effective implementation of novel WSN strategies.