Multidisciplinary Visualization Aspects in European R&D Projects

Author(s):  
Dean Vucinic

The paper addresses Scientific Visualization (SV) aspects in the Modeling and Simulation (M&S) environments, experienced by the author in the multidisciplinary European Research and Development (R&D) projects, which are expect to meet the challenges in the growing complexity of software tools and their visualization features, considered as an essential factor to improve their quality and efficient use. The visualization tools are considered as the natural integration mechanism to evidence the complexity and to provide missing integration solutions. Today’s visualization tools are equipped with highly interactive visual aids, which allow analysis and inspection of complex numerical data generated from high-bandwidth data sources such as simulation software, experimental rigs, satellites, scanners, etc… Such tools help scientist and engineers in data extraction, visualization, interpretation and analysis tasks, enabling them to experience high degree of interaction and effectiveness in solving their design problems. Today, the modern engineering design is, and has to be based on the M&S principles, as the key enabler to combine multidisciplinary workflows to manage and to structure such highly complex industrial solutions, which heavily include generic M&S tools and open standards solutions. The author experience, gained in solving the M&S problems in European R&D projects is presented throughout a time-span of last two-decades, where the software technologies have been researched and demonstrated, especially addressing the SV software evolution in engineering, and in addition, the information visualization in general.

Materials ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 413
Author(s):  
Saad Saeed AlShahrani ◽  
Mana’a Saleh AlAbbas ◽  
Isadora Martini Garcia ◽  
Maha Ibrahim AlGhannam ◽  
Muath Abdulrahman AlRuwaili ◽  
...  

This review aimed to assess the antimicrobial effects of different antibacterial agents/compounds incorporated in resin-based dental sealants. Four databases (PubMed, MEDLINE, Web of Science and Scopus) were searched. From the 8052 records retrieved, 275 records were considered eligible for full-text screening. Nineteen studies met the inclusion criteria. Data extraction and quality assessment was performed by two independent reviewers. Six of the nineteen included studies were judged to have low risk of bias, and the rest had medium risk of bias. Compounds and particles such as zinc, tin, Selenium, chitosan, chlorhexidine, fluoride and methyl methacrylate were found to be effective in reducing the colony-forming unit counts, producing inhibition zones, reducing the optical density, reducing the metabolic activities, reducing the lactic acid and polysaccharide production and neutralizing the pH when they are added to the resin-based dental sealants. In addition, some studies showed that the antibacterial effect was not significantly different after 2 weeks, 2 months and 6 months aging in distilled water or phosphate-buffered saline. In conclusion, studies have confirmed the effectiveness of adding antibacterial agents/compounds to dental sealants. However, we should consider that these results are based on laboratory studies with a high degree of heterogeneity.


1995 ◽  
Vol 19 (4) ◽  
pp. 295-307 ◽  
Author(s):  
B. Ozell ◽  
R. Camarero ◽  
A. Garon ◽  
F. Guibault

2006 ◽  
Vol 53 (12) ◽  
pp. 247-256 ◽  
Author(s):  
A. Marquot ◽  
A.-E. Stricker ◽  
Y. Racault

Activated sludge models, and ASM1 in particular, are well recognised and useful mathematical representations of the macroscopic processes involved in the biological degradation of the pollution carried by wastewater. Nevertheless, the use of these models through simulation software requires a careful methodology for their calibration (determination of the model parameters' values) and the validation step (verification with an independent data set). This paper presents the methodology and the results of dynamic calibration and validation tasks as a prior work to a modelling project for defining a reference guideline destined to French designers and operators. To reach these goals, a biological nutrient removal (BNR) wastewater treatment plant (WWTP) with intermittent aeration was selected and monitored for 2 years. Two sets of calibrated parameters are given and discussed. The results of the long-term validation task are presented through a 2-month simulation with lots of operation changes. Finally, it is concluded that, even if calibrating ASM1 with a high degree of confidence with a single set of parameters was not possible, the results of the calibration are sufficient to obtain satisfactory results over long-term dynamic simulation. However, simulating long periods reveals specific calibration issues such as the variation of the nitrification capacity due to external events.


Polymers ◽  
2021 ◽  
Vol 14 (1) ◽  
pp. 55
Author(s):  
Márton Tamás Birosz ◽  
Mátyás Andó ◽  
Ferenc Safranyik

Additive Manufacturing (AM) became a popular engineering solution not only for Rapid Prototyping (RP) as a part of product development but as an effective solution for producing complex geometries as fully functional components. Even the modern engineering tools, such as the different simulation software, have a shape optimization solution especially for parts created by AM. To extend the application of these methods in this work, the failure properties of the 3D-printed parts have been investigated via shear test measurements. The layer adhesion can be calculated based on the results, which can be used later for further numerical modeling. In conclusion, it can be stated that the layer formation and the structure of the infill have a great influence on the mechanical properties. The layers formed following the conventional zig-zag infill style show a random failure, and the layers created via extruded concentric circles show more predictable load resistance.


Author(s):  
Ingrid Cristina S. Pereira ◽  
Celio A. da Costa Neto ◽  
José Renato M. Sousa ◽  
Erica G. Chaves ◽  
Sylvia Teixeira

Abstract Polyvinylidene fluoride (PVDF) is an engineering thermoplastic having a high degree of sensibility to crack, which affects long-term mechanical behavior. This study evaluates the crack-sensitive of PVDF for one commercial-grade through the development of a numerical model. Firstly, tensile tests using DIC were performed on both uncrack and pre-crack specimens to get experimental tensile as DIC-displacement, displacement-control, and load data. For pre-crack specimens, it was proposed two values of depth: 1.0 and 1.5 mm, opened by razor blade. All specimens were uniaxial tests at 23°C under 5 mm/min. Secondly, tensile tests using extensometer were implemented for uncrack samples to determine material parameters for calibration of the numerical model and comparison with DIC-displacement. Finally, a numerical model based on the FE was implemented using ANSYS-student that inputs PVDF’s material properties, which considered the elastic-plastic behavior in simulation tests. The PVDF demonstrated significant crack sensitivity, as it can be seen in experimental and numerical data. And, the numerical model developed based on MKHP was successfully agreement against experimental data obtained by Blue Hill 3 software. Therefore, the results allowed us to observe that pre-crack acts as a stress concentration and the numerical model got well simulates this influence on the PVDF mechanical behavior.


Nutrients ◽  
2019 ◽  
Vol 11 (8) ◽  
pp. 1950 ◽  
Author(s):  
Mercedes Castaño ◽  
Rubén Gómez-Gordo ◽  
David Cuevas ◽  
Concepción Núñez

We aimed to estimate the seroprevalence and the prevalence of coeliac disease (CD) in women with reproductive problems. A systematic review of English published articles until June 2019 was performed in PubMed and Scopus using the terms: (infertility and (coeliac disease OR gluten) OR (miscarriage and (coeliac disease OR gluten) OR (abortion and (coeliac disease OR gluten). All articles showing numerical data of anti-transglutaminase type 2 or anti-endomisium antibodies, or intestinal biopsy information were included. The study group comprised women with overall infertility, unexplained infertility, or recurrent spontaneous abortions. Two authors independently performed data extraction using a predefined data sheet. The initial search yielded 310 articles, and 23 were selected for data extraction. After meta-analysis, the pooled seroprevalence was very similar for overall and unexplained infertility, with a pooled proportion of around 1.3%–1.6%. This implies three times higher odds of having CD in infertility when compared to controls. The pooled prevalence could not be accurately calculated due to the small sample sizes. Further studies with increased sample sizes are necessary before giving specific recommendations for CD screening in women with reproductive problems, but current data seem to support a higher risk of CD in these women.


2010 ◽  
Vol 7 (1) ◽  
pp. 58-66
Author(s):  
N. Ranganathan ◽  
A. Malar ◽  
D.Y. Lee ◽  
K. Prasad ◽  
K.L. Pey

A dual-etch via tapering technology has been presented which combines Bosch process and isotropic etch process. It has been shown that the dual-etch process technology provides a high degree of process flexibility to the user by independently controlling and optimizing the etch rate and profile tapering process. Based on experimental work, RIE process models have been set up using ELITE simulation software from Silvaco. Detailed DOE has been done to optimize the RIE models so that the experimental and simulation results match over a wide range of via geometries and aspect ratios. The optimized models have been further used to predict the aspect ratio induced RIE lag effects.


Author(s):  
Vanessa Boudewyns ◽  
Pamela A. Williams

Purpose The purpose of this study is to describe the trends and practices of comparative prescription drug advertising by examining the types of comparative claims made in direct-to-consumer (DTC) and direct-to-physician (DTP) print advertisements. Design/methodology/approach The authors conducted a content analysis of 54 DTC and DTP print prescription drug advertisements (published between 1997 and 2014) with comparative claims. Findings Efficacy-based comparisons appeared in 64 per cent of advertisements, and attribute-based comparisons appeared in 37 per cent of advertisements. Most advertisements made direct (vs indirect) references to competitors (85 per cent), compared the advertised drug to a single (vs multiple) competitor (78 per cent), focused exclusively on one type of comparison claim (i.e. efficacy-, risk- or attribute-based) (70 per cent) and did not contain data-driven visual aids (82 per cent). Some differences between DTC and DTP advertisements emerged. More DTP than DTC advertisements included data-driven visual aids (82 per cent vs 0 per cent, respectively), included numerical data (88 per cent vs 53 per cent) and conveyed statistical significance (52 per cent vs 12 per cent). Research limitations/implications The study used a convenience sample rather than a random sample of advertisements; thus, the findings might not be generalizable to all pharmaceutical DTC and DTP advertisements. Examining the tactics that advertisers use to educate and influence consumers and physicians sets the foundation for future studies that examine the effects of their exposure to comparative claims. Suggestions for future research are discussed. Originality/value This study is the first to examine and statistically compare the comparative advertising tactics used in both consumer and physician prescription drug advertisements.


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