scholarly journals Hybrid Prepreg Tapes for Composite Manufacturing: A Case Study

Materials ◽  
2022 ◽  
Vol 15 (2) ◽  
pp. 619
Author(s):  
Mohanapriya Venkataraman ◽  
Jiří Militký ◽  
Alžbeta Samková ◽  
Daniel Karthik ◽  
Dana Křemenáková ◽  
...  
Keyword(s):  
Exploratory Data Analysis ◽  
Circular Cross Section ◽  
Weibull Model ◽  
Strength Distribution ◽  
Model Parameters ◽  
Composite Manufacturing ◽  
Exploratory Data ◽  
Mechanical Tensile

The aim of this research was the preparation and characterization of hybrid prepreg tapes from glass multifilament roving (circular cross-section). The fiber, roving, and tape strength distribution was characterized by exploratory data analysis tools (especially quantile-quantile plot) and modeled by the three parameters’ Weibull distribution. For estimation of Weibull model parameters, the noniterative technique based on the so-called Weibull moments was used. It was shown that the prepared hybrid prepreg tapes prepared by controlled mechanical spreading technology developed by the authors improved mechanical tensile properties and can be used for the preparation of composites of complicated forms by robotic winding.

Characterization of the chemical composition (mineral, lead and centesimal) in pine nut (Araucaria angustifolia (Bertol.) Kuntze) using exploratory data analysis

2021 ◽  
pp. 130672
Author(s):  
Emmanuelle Ferreira Requião Silva ◽  
Bruna Rosa da Silva Santos ◽  
Lucas Almir Cavalcante Minho ◽  
Geovani Cardoso Brandão ◽  
Márcio de Jesus Silva ◽  
...  
Keyword(s):  
Data Analysis ◽  
Chemical Composition ◽  
Exploratory Data Analysis ◽  
Araucaria Angustifolia ◽  
Pine Nut ◽  
Exploratory Data

scholarly journals CyTOF workflow: differential discovery in high-throughput high-dimensional cytometry datasets

F1000Research ◽  
2019 ◽  
Vol 6 ◽  
pp. 748 ◽  
Author(s):  
Malgorzata Nowicka ◽  
Carsten Krieg ◽  
Helena L. Crowell ◽  
Lukas M. Weber ◽  
Felix J. Hartmann ◽  
...  
Keyword(s):  
Cell Population ◽  
High Throughput ◽  
Mixed Models ◽  
Exploratory Data Analysis ◽  
Linear Mixed Models ◽  
High Dimensional ◽  
Cell Populations ◽  
Dimensional Scaling ◽  
Exploratory Data

High-dimensional mass and flow cytometry (HDCyto) experiments have become a method of choice for high-throughput interrogation and characterization of cell populations. Here, we present an updated R-based pipeline for differential analyses of HDCyto data, largely based on Bioconductor packages. We computationally define cell populations using FlowSOM clustering, and facilitate an optional but reproducible strategy for manual merging of algorithm-generated clusters. Our workflow offers different analysis paths, including association of cell type abundance with a phenotype or changes in signalling markers within specific subpopulations, or differential analyses of aggregated signals. Importantly, the differential analyses we show are based on regression frameworks where the HDCyto data is the response; thus, we are able to model arbitrary experimental designs, such as those with batch effects, paired designs and so on. In particular, we apply generalized linear mixed models or linear mixed models to analyses of cell population abundance or cell-population-specific analyses of signaling markers, allowing overdispersion in cell count or aggregated signals across samples to be appropriately modeled. To support the formal statistical analyses, we encourage exploratory data analysis at every step, including quality control (e.g., multi-dimensional scaling plots), reporting of clustering results (dimensionality reduction, heatmaps with dendrograms) and differential analyses (e.g., plots of aggregated signals).

scholarly journals Conference facilities as a key factor in the competitiveness of urban hotels: A case study of Łódź (Poland)

2020 ◽  
Vol 10 (3) ◽  
pp. 229-240
Author(s):  
Joanna Bik ◽  
Anna Poreda ◽  
Andrzej Matczak
Keyword(s):  
Exploratory Data Analysis ◽  
Field Research ◽  
Urban Tourism ◽  
Service Capacity ◽  
Key Factor ◽  
Conference Service ◽  
Exploratory Data ◽  
Mice Tourism ◽  
Correct Measure

Abstract The article aims to assess the competitiveness of hotels in Łódź on the meeting tourism (MICE) market based on an analysis of their conference facilities. The data was obtained from GUS statistics, reports on MICE tourism in Poland and as a result of own field research carried out in 2019. Exploratory data analysis was used in their development. The development of modern hotels in Łódź of higher categories with obligatory conference rooms has contributed to the diversification of the possibilities of organising MICE tourism by city hotels. The hotel’s possession of conference facilities has become an important factor in building its competitive advantage. The analysis of hotel equipment with conference facilities, using the conference service capacity (CSC) index, turned out to be a sufficiently correct measure to illustrate the diversity of hotels’ ability to compete in the MICE urban tourism market.

Selecting Robust Kinetic Models on Noisy Data Using the Bootstrap

2007 ◽  
Vol 5 (1) ◽  
Author(s):  
Cayle J Sharrock ◽  
Roelof Coetzer
Keyword(s):  
Systematic Approach ◽  
Exploratory Data Analysis ◽  
Noisy Data ◽  
Water Gas Shift ◽  
Industrial Case Study ◽  
Analysis Techniques ◽  
Exploratory Data ◽  
Shift Reaction ◽  
Water Gas

A systematic approach to identifying a robust kinetic model fitted on noisy data is presented. The bootstrap coupled with Monte-Carlo simulations and exploratory data analysis techniques are employed to evaluate candidate model formulations to given sets of experimental data. The approach is applied in an industrial case study in determining the most practical rate expression for the water-gas shift reaction over a cobalt Fischer-Tropsch catalyst.

Sign in / Sign up

Export Citation Format

Share Document