nils-herrmann/clean_scirepeval huggingface dataset:
The Young Child And The Educative Process
Year: 2016

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Mild Chronic Obstructive Pulmonary Disease Does Exist and Affects Gas Exchange during Exercise.
Venue: American journal of respiratory and critical care medicine
Year: 2015

1. National Asthma Education and Prevention Program. Expert Panel Report 3 (EPR 3) guidelines for the diagnosis and management of asthma: summary report 2007.  Bye MR, Dovey ME, Nachman S, Hutchinson V, Evans D. Do patients of subspecialist physicians benefit from written asthma action plans? Am J Respir Crit Care Med 2015;191:1374 1383. 3. Gibson PG, Powell H. Written action plans for asthma: an evidencebased review of the key components. Thorax 2004;59:94 99. 4. Toelle BG, Ram FS. Written individualised management plans for asthma in children and adults. Cochrane Database Syst Rev 2004;CD002171. 5. Agrawal SK, Singh M, Mathew JL, Malhi P. Efficacy of an individualized written home management plan in the control of moderate persistent asthma: a randomized, controlled trial.  D, Noya FJ, Resendes S, Khomenko L, Rouleau R, Zhang X. Written action plan in pediatric emergency room improves asthma prescribing, adherence, and control. Am J Respir Crit Care Med 2011;183: 195 203. 7. Sheares BJ, Du Y, Vazquez TL, Mellins RB, Evans D. Use of written treatment plans for asthma by specialist physicians. Pediatr Pulmonol 2007;42:348 356. 8. Marcano Belisario JS, Huckvale K, Greenfield G, Car J, Gunn LH. Smartphone and tablet self management apps for asthma. Cochrane Database Syst Rev 2013;11:CD010013.
Towards evaluating ontology based data matching strategies matching strategies, evaluation methodology and results
Venue: 2010 Fourth International Conference on Research Challenges in Information Science (RCIS)
Year: 2010

In the EC FP6 Prolix project, a generic ontology based data matching framework (ODMF) is developed for enhancing competency management and e learning processes. In this paper, we will focus on ODMF matching strategies and an evaluation methodology for the evaluation. We will discuss the evaluation principles and evaluation criteria in general. This evaluation methodology is applied to enterprises and being validated. The evaluation results and valuable concluding points concerning an evaluation methodology will be explained.
Maturity Models in Information Systems Research: Literature Search and Analysis
Venue: Commun. Assoc. Inf. Syst.
Year: 2011

This article collects and analyzes seventy six maturity model articles that have been published in leading Information Systems (IS) journals and conference proceedings during the past fifteen years. We study the IS literature on maturity models from three different perspectives: a research perspective, which is particularly relevant for scholars who are interested in the design and adoption of maturity models; a publication perspective, which reflects the interests of authors and reviewers of maturity model articles; and a practitioner"s perspective, which is especially relevant for maturity model users and consultants. The results are interesting in several respects. From the research perspective, the Capability Maturity Model (CMM) is the most dominant foundation of past IS research on maturity models. In contrast, theories on the design and adoption of maturity models are distinctly rare in our sample. The publication outlets that are considered feature quantitative and qualitative empirical research alike, but with a decreasing number purely conceptual research as well. Of late, past maturity model research can mainly be located in the area of IT and organizations, while the formerly very popular domain of IS development is of less interest today. As for the publication perspective, we find that the level of publication activity in the field has generally been increasing over the last fifteen years, with North American and European researchers dominating the academic discussion. Finally, with regard to the practitioner"s perspective, we compile advice on the practical application of maturity models from a critical analysis of the literature. It is hoped that the results can stimulate and guide future research in the field and inform the development and usage of theoretically sound maturity models in practice.
Removal of ammonia emissions via the reversible structural transformation in M(BDC) (M Cu, Zn, Cd) metal organic frameworks.
Venue: Environmental science technology
Year: 2020

NH3 is the most important gaseous alkaline pollutant, which when accumulated at high concentrations can have a serious impact on animal and human health. More importantly, NH3 emissions will react with acidic pollutant gases to form PM2.5 in the atmosphere, which also poses a huge threat to human activities. The use of adsorbents for NH3 removal from emission sources or air is an urgent issue. However, there are difficulties in the compatibility between high adsorption capacity and recyclability for most conventional adsorbents. In this work, a structural transformation strategy using MOFs is proposed for large scale and recyclable NH3 adsorption. A series of M(BDC) (M Cu, Zn, Cd) materials can transform to one dimensional M(BDC)(NH3)2 after NH3 adsorption, resulting in repeatable adsorption capacities of 17.2, 14.1, and 7.4 mmol/g, respectively. These MOFs can be completely regenerated at 250 degC for 80 min with no adsorption capacity loss. Besides, breakthrough and cycle tests indicate that Cu(BDC) and Zn(BDC) show good performance in the removal of low concentrations of NH3 from the air. Overall, combining the advantages of high adsorption capacity and recyclability due to the reversible structural transformation, Cu(BDC) and Zn(BDC) can be employed as ideal adsorbent candidates for NH3 removal.
The relationship between EFL teachers' continuing professional development and their self efficacy: A structural equation modeling approach
Year: 2019

The main purpose of this study is to investigate the relationship between Iranian EFL teachers' Continuing professional development (CPD) and their self efficacy. The participants comprised of 247 EFL teachers teaching at different language institutes in several cities of Iran. Their selection was based on convenience sampling and the participation was entirely voluntary. In this study, two instruments were used: Continuing professional development questionnaire and self efficacy scale. Pearson's correlation coefficient and structural equation modeling (SEM) were run to analyze the relationships among the components. The results revealed that all the subscales of CPD are positive significant predictors of self efficacy: collaborating, decision making, reflecting, and updating. Also, according to the results, CPD has the highest positive correlation with instructional strategies and the lowest positive correlation with student engagement. In addition, there is a positive moderate significant relationship between CPD and total self efficacy. Finally, these findings and their implications were discussed.
Four dimensional visualization of highly transient fuel sprays by microsecond quantitative x ray tomography
Year: 2009

An ultrafast x ray microtomography technique based on synchrotron x rays and a fast framing x ray detector was developed to reconstruct the highly transient sprays in four dimensions with microsecond temporal resolution in the near nozzle region. The time resolved quantitative fuel distribution allowed a realistic numerical fluid dynamic simulation with initial conditions based on the measurement, which demonstrates that the fuel has completed the primary breakup upon exiting the nozzle. The secondary breakup based simulation agrees well with the experimental fuel volume fraction distribution, which challenges most existing simulation assumptions and results.
Parametric Finite Element Analysis of square cup deep drawing
Year: 2009

This paper deals with the FEA of the sheet metal forming process that involves various nonlinearities. Our objective is to develop a parametric study that can leads mainly to predict accurately the final geometry of the sheet blank and the distribution of strains and stresses and also to control various forming defects, such as thinning as well as parameters affecting strongly the final form of the sheet after forming process.  In cold forming (deep drawing) operation, sheet metal is subject to large strains in order to obtain the final desired shape. However, under severe forming conditions the sheet metal may experience some thinning and even some tearing during the process. Parameters of the deep forming process that may contribute to such conditions include, aspect ratio, blank initial thickness, forming temperature, shoulder radii of the die and punch, contact conditions between the blank and the die, holder and punch, punch displacement rate, etc. The work presented in the current paper is a first part study of numerical parametric investigation that is dealing with the most influent parameters in a forming process to simulate the deep drawing of square cup (such as geometric parameters and coefficient of friction) The purpose of the current paper is to conduct a validation study of the FEM model that is used to conduct the study described above. In fact, a 3D parametric FEA model is built using ABAQUS /Explicit standard code.  A methodology to develop this kind of theoretic resolution is pointed out and has been illustrated for a set of variables. Several 2D and 3D plots, which can be used to predict incipient thinning strengths for sheets with flat initial configuration, have been presented for the various loading conditions.  As it was mentioned above, this paper is the first part of a study of the numerical parametric investigation that is dealing with the most influent parameters in a forming process to simulate the deep drawing of square cup (such as geometric, material parameters and coefficient of frictions)
A Review on Analytical Methods for Honey Classification, Identification and Authentication
Venue: Honey Analysis New Advances and Challenges
Year: 2020

Authentication of food products is of great concern in the context of food safety and quality. In recent years, interest in honey authenticity in relation with botanical or geographical origin and adulteration has increased. Honey is a ready to eat natural food with high nutritional content and gives many health benefits. Authentication of honey has primary importance for both industries and consumers in combatting common honey frauds in the form of mislabeling of honey origin and adulteration with sugar or syrups. Various analytical methods are used for detecting original honey. With a diverse range of equipment and techniques, the conventional analytical methods are still being used in association with advanced techniques as they are part of preliminary screening, processing and product standards. Most of the analytical methods provide indications of pollen distribution, physicochemical parameters and profile analysis of phenolic, flavonoid, carbohydrate, amino acids, aroma and individual marker components. This review provides an overview and summary of instrumental and analytical methods available for honey authentication from conventional to recent molecular techniques. It is useful as a guide to choosing appropriate method for analysis, classification and authentication of honey.
A hybrid of multiobjective Evolutionary Algorithm and HMM Fuzzy model for time series prediction
Venue: Neurocomputing
Year: 2012

In this paper, we introduce a new hybrid of Hidden Markov Model (HMM) Fuzzy Logic and multiobjective Evolutionary Algorithm (EA) for building a fuzzy model to predict non linear time series data. In this hybrid approach, the HMM's log likelihood score for each data pattern is used to rank the data and fuzzy rules are generated using the ranked data. We use multiobjective EA to find a range of trade off solutions between the number of fuzzy rules and the prediction accuracy. The model is tested on a number of benchmark and more recent financial time series data. The experimental results clearly demonstrate that our model is able to generate a reduced number of fuzzy rules with similar (and in some cases better) performance compared with typical data driven fuzzy models reported in the literature.
Consumer Purchasing Behaviour towards Eco Environment Residential Photovoltaic Solar Lighting Systems
Year: 2018

The present study focuses on consumer behaviour towards decision making about residential photovoltaic (PV) technology and motivates them to adopt renewable energy sources in place of conventional resources. The study focuses on the six significant factors of customer attribute related to environmental concern which stimulate the purchase behaviour to adopt residential PV technology. Therefore, the study considers various factors of environmental concerns, retrieved from a previous literature review by the researchers. For obtaining the results, structural equation modelling (SEM) has been utilized to examine the 269 customers' data, collected by the researchers. The result indicates that the environmental concern factors such as social influence, environmental attitude, environmental knowledge, environmental responsibility and government initiative have significant positive influence on customer intention to adopt residential PV technology. However, the factor awareness of environmental problem shows insignificant influence on intention to adopt. Thus, the outcome of the study will provide some valuable insights to the policymakers, marketers and government for further expansion of solar energy market by using various promotional programmes and strategies, consciousness and sharing responsibility towards saving our environment from detrimental effects of conventional energy resources.
Motor development in very preterm and very low birth weight children from birth to adolescence: a meta analysis.
Venue: JAMA
Year: 2009

Infants who are very preterm (born or 32 weeks of gestation) and very low birth weight (VLBW) (weighing or 1500 g) are at risk for poor developmental outcomes. There is increasing evidence that very preterm birth and VLBW have a considerable effect on motor development, although findings are inconsistent.  To investigate the relationship between very preterm birth and VLBW and motor development.  The computerized databases EMBASE, PubMed, and Web of Knowledge were used to search for English language peer reviewed articles published between January 1992 and August 2009.  Studies were included if they reported motor scores of very preterm and VLBW children without congenital anomalies using 1 of 3 established and widely used motor tests: the Bayley Scales of Infant Development II (BSID II) the Movement Assessment Battery for Children (MABC) and the Bruininks Oseretsky Test of Motor Proficiency (BOTMP) Forty one articles were identified, encompassing 9653 children.  In comparison with term born peers, very preterm and VLBW children obtained significantly lower scores on all 3 motor tests: BSID II: d 0.88 (95% confidence interval [CI] 0.96 to 0.80; P .001) MABC: d 0.65 (95% CI, 0.70 to 0.60; P .001) and BOTMP: d 0.57 (95% CI, 0.68 to 0.46; P .001) Whereas motor outcomes on the BSID II show a catch up effect in the first years of development (r 0.50, P .01) the results on the MABC demonstrate a nonsignificantly greater deficit with increasing age during elementary school and early adolescence (r 0.59, P .07)  Being born preterm or VLBW is associated with significant motor impairment persisting throughout childhood.
A Mixed Methods Research Approach to Exploring Teacher Participation in an Online Social Networking Website
Year: 2016

Social networks are becoming very prominent in educational discourse. The discourse centers on the role of social media and its utility in the teaching and learning environment. Several arguments have been made to support its use because they are highly collaborative, easily accessible, and provide opportunities to embed a variety of Web 2.0 tools such as blogs, wikis, and online chats. However, there is a dearth in research on teacher use of educational social networking sites (SNS) in Trinidad and Tobago. The purpose of this study was to explore how 35 secondary school teachers in Trinidad and Tobago participated in an educational online social networking site. This study utilized a mixed methods exploratory approach and allowed for the use of online data capture together with questionnaires and interviews. Combined data analysis revealed five different levels of site participation, with most teachers adopting the role of content consumer rather than of content producer. Barriers to participation were time, motivation, technology, and usability. The designed social networking site allowed teachers to make public their discourse on their practice while connecting with colleagues from other schools. The study was qualitative dominant, with the mixed methods research approach allowing for deeper exploration of teachers' participation on this social networking website, and was justified by the newness and transient nature of data from social networking websites.
Light Absorption by Ambient Black and Brown Carbon and its Dependence on Black Carbon Coating State for Two California, USA, Cities in Winter and Summer
Venue: Journal of Geophysical Research: Atmospheres
Year: 2019

Author(s) Cappa, CD; Zhang, X; Russell, LM; Collier, S; Lee, AKY; Chen, CL; Betha, R; Chen, S; Liu, J; Price, DJ; Sanchez, KJ; McMeeking, GR; Williams, LR; Onasch, TB; Worsnop, DR; Abbatt, J; Zhang,  (c)2019 Observations from a wintertime and summertime field campaign are used to assess the relationship between black and brown carbon (BC and BrC, respectively) optical properties and particle composition and coating state. The wintertime campaign, in Fresno, CA, was impacted by primary emissions from residential wood burning, secondary organic and inorganic particle formation, and BC from motor vehicles. Two major types of BrC were observed in wintertime. One occurred primarily at night the result of primary biomass burning emissions. The second was enhanced in daytime and strongly associated with particulate nitrate and the occurrence of fog. The biomass burning derived BrC absorbed more strongly than the nitrate associated BrC but had a weaker wavelength dependence. The wintertime BC specific mass absorption coefficient (MAC BC exhibited limited dependence on the ensemble average coating to BC mass ratio (R coat rBC at all wavelengths, even up to R coat rBC of ~5. For the summertime campaign, in Fontana, CA, BC dominated the light absorption, with negligible BrC contribution even after substantial photochemical processing. The summertime MAC BC exhibited limited dependence on R coat rBC even up to ratios of g10. Based on the four classes of BC containing particles identified by Lee et al. (2017, https:/doi.org/10.5194/acp 17 15055 2017) for the summertime measurements, the general lack of an absorption enhancement can be partly although not entirely attributed to an unequal distribution of coating materials between the BC containing particle types. These observations demonstrate that in relatively near source environments, even those impacted by strong secondary aerosol production, the ensemble average, mixing induced absorption enhancement for BC due to coatings can be quite small.
The Use of Address Forms in the English Websites of Inner Circle Countries
Year: 2017

Gender has been an interesting variable for examining a society's linguistic behaviour. In the English language, the gender system can be detected from the lexical items, for instance in the use of address forms. This study focuses on the inner circle countries United States, Canada, Great Britain, Australia and New Zealand. This study uses corpus linguistics approach and GloWbE (Global Web Based English) as the corpus data to reveal the most gender bias country within these five native English speaking countries. By looking at the results of the difference of total number of occurrences per million words of male and female forms of addresses, we can infer that the United States tends to be the most gender bias country, and Australia tends to be the least gender bias country.
Cold chain and virus free oral polio booster vaccine made in lettuce chloroplasts confers protection against all three poliovirus serotypes
Venue: Plant biotechnology journal
Year: 2019

To prevent vaccine associated paralytic poliomyelitis, WHO recommended withdrawal of Oral Polio Vaccine (Serotype 2) and a single dose of Inactivated Poliovirus Vaccine (IPV) IPV however is expensive, requires cold chain, injections and offers limited intestinal mucosal immunity, essential to prevent polio reinfection in countries with open sewer system. To date, there is no virus free and cold chain free polio vaccine capable of inducing robust mucosal immunity. We report here a novel low cost, cold chain/poliovirus free, booster vaccine using poliovirus capsid protein (VP1, conserved in all serotypes) fused with cholera non toxic B subunit (CTB) expressed in lettuce chloroplasts. PCR using unique primer sets confirmed site specific integration of CTB VP1 transgene cassettes. Absence of the native chloroplast genome in Southern blots confirmed homoplasmy. Codon optimization of the VP1 coding sequence enhanced its expression 9 15 fold in chloroplasts. GM1 ganglioside receptor binding ELISA confirmed pentamer assembly of CTB VP1 fusion protein, fulfilling a key requirement for oral antigen delivery through gut epithelium. Transmission Electron Microscope images and hydrodynamic radius analysis confirmed VP1 VLPs of 22.3 nm size. Mice primed with IPV and boosted three times with lyophilized plant cells expressing CTB VP1co, formulated with plant derived oral adjuvants, enhanced VP1 specific IgG1, VP1 IgA titres and neutralization (80% 100% seropositivity of Sabin 1, 2, 3) In contrast, IPV single dose resulted in <50% VP1 IgG1 and negligible VP1 IgA titres, poor neutralization and seropositivity <20% <40% Sabin 1,2) Mice orally boosted with CTB VP1co, without IPV priming, failed to produce any protective neutralizing antibody. Because global population is receiving IPV single dose, booster vaccine free of poliovirus or cold chain offers a timely low cost solution to eradicate polio.
Hybrid bayesian evolutionary optimization for hyperparameter tuning
Venue: GECCO Companion
Year: 2020

In this paper, we present a Hybrid Bayesian Evolutionary tuning algorithm (HBEtune) for tuning machine learning algorithms or evolutionary algorithms, and analyze its performance. HBEtune combines meta EA and Bayesian optimization techniques. As hyperparameter tuning is a noisy, black box optimization problem with expensive target functions, practical tuners must aim to minimize the number of necessary samples. In our method, we guide the EA's recombination operator towards more promising samples by employing the expected improvement acquisition criterion commonly used in Bayesian optimization. The expected improvement is evaluated on a surrogate model using a Gaussian process regression. HBEtune shows generally competitive performance when compared with the state of the art irace tuner. Performance is analyzed across a suite of synthetic and real world benchmark problems.