scholarly journals SMAUG v1.0 – a user-friendly muon simulator for transmission tomography of geological objects in 3D

2021 ◽  
Author(s):  
Alessandro Lechmann ◽  
David Mair ◽  
Akitaka Ariga ◽  
Tomoko Ariga ◽  
Antonio Ereditato ◽  
...  

Abstract. Knowledge about muon tomography has spread in recent years in the geoscientific community and several collaborations between geologists and physicists have been founded. As the data analysis is still mostly done by particle physicists, we address the need of the geoscientific community to participate in the data analysis, while not having to worry too much about the particle physics equations in the background. The result hereof is SMAUG, a toolbox consisting of several modules that cover the various aspects of data analysis in a muon tomographic experiment. In this study we show how a comprehensive geophysical model can be built from basic physics equations. The emerging uncertainties are dealt with by a probabilistic formulation of the inverse problem, which is finally solved by a Monte Carlo Markov Chain algorithm. Finally, we benchmark the SMAUG results against those of a recent study, which however, have been established with an approach that is not easily accessible to the geoscientific community. We show that they reach identical results with the same level of accuracy and precision.

2019 ◽  
Author(s):  
Rumen Manolov

The lack of consensus regarding the most appropriate analytical techniques for single-case experimental designs data requires justifying the choice of any specific analytical option. The current text mentions some of the arguments, provided by methodologists and statisticians, in favor of several analytical techniques. Additionally, a small-scale literature review is performed in order to explore if and how applied researchers justify the analytical choices that they make. The review suggests that certain practices are not sufficiently explained. In order to improve the reporting regarding the data analytical decisions, it is proposed to choose and justify the data analytical approach prior to gathering the data. As a possible justification for data analysis plan, we propose using as a basis the expected the data pattern (specifically, the expectation about an improving baseline trend and about the immediate or progressive nature of the intervention effect). Although there are multiple alternatives for single-case data analysis, the current text focuses on visual analysis and multilevel models and illustrates an application of these analytical options with real data. User-friendly software is also developed.


Proceedings ◽  
2020 ◽  
Vol 62 (1) ◽  
pp. 9
Author(s):  
Oriol Vallcorba ◽  
Jordi Rius

The d1Dplot and d2Dplot computer programs have been developed as user-friendly tools for the inspection and processing of 1D and 2D X-ray diffraction (XRD) data, respectively. d1Dplot provides general tools for data processing and includes the ability to generate comprehensive 2D plots of multiple patterns to easily follow transformation processes. d2Dplot is a full package for 2D XRD data. Besides general processing tools, it includes specific data analysis routines for the application of the through-the-substrate methodology [Rius et al. IUCrJ 2015, 2, 452–463]. Both programs allow the creation of a user compound database for the identification of crystalline phases. The software can be downloaded from the ALBA Synchrotron Light Source website and can be used free of charge for non-commercial and academic purposes.


Author(s):  
Syaiful Amin ◽  
Suwito Eko Pramono ◽  
Atno ◽  
Ganda Febri Kurniawan

Kota Lama Semarang, also known as Semarang Old Town in Central of Java Province, Indonesia, has the potential to become an inclusive and sustainable tourism destination, in accordance with the Indonesian government’s development plan. However, its potential has not been promoted publicly in the best ways. The aim of this research is to describe and develop a model for promoting inclusive and sustainable tourism in the area. The research applies qualitative methods and takes a descriptive approach. The data were collected using observation and interviews, while data analysis was performed using Creswell's descriptive qualitative analysis. The Sejarah di Dekatku (History Near Us) application (the new model), together with social media promotion, provides an alternative way of promoting tourism. During a trial launch, the application was appreciated by the tourists who used it. The application is considered easy to use and suitable for the needs of the community. It features themes of inclusivity and education, and it is considered important for the promotion of historical areas of Semarang. The advantages of using the application to help develop Kota Lama Semarang tourism are that it is easy to use and navigate, it has attractive features, and it provides easy-to-understand information. Our research suggests that the application should be launched immediately and used as a way of promoting the area. In addition, features and interfaces should be developed further to make the application even more attractive and user-friendly. This can be done by researching and developing the features and the interface of the application to make it more attractive and user-friendly.


2019 ◽  
Vol 10 (2) ◽  
pp. 96-100
Author(s):  
Joko Siswanto

This study aims to analyze the effectiveness of the IBMR learning model assisted by phet to improve the ability of representation in physics learning. The research design used quasi-experiment one group pre-test and post-test conducted on 20 students of Information Technology Education at Universitas PGRI Semarang who programmed basic physics courses. The research data was collected from pre-test and post-test the ability of representation supported by observations of the implementation of learning. Data analysis uses paired t-test and n-gain to calculate and determine the criteria of increase of the representation ability. The results showed that the implementation of the IBMR model assisted by phet simulation was effective in increasing the ability of representation of students with gain score <g> = 0,59 (moderate criteria).


2018 ◽  
Author(s):  
Leandro Gabriel Roser ◽  
Fernán Agüero ◽  
Daniel Oscar Sánchez

AbstractBackgroundExploration and processing of FASTQ files are the first steps in state-of-the-art data analysis workflows of Next Generation Sequencing (NGS) platforms. The large amount of data generated by these technologies has put a challenge in terms of rapid analysis and visualization of sequencing information. Recent integration of the R data analysis platform with web visual frameworks has stimulated the development of user-friendly, powerful, and dynamic NGS data analysis applications.ResultsThis paper presents FastqCleaner, a Bioconductor visual application for both quality-control (QC) and pre-processing of FASTQ files. The interface shows diagnostic information for the input and output data and allows to select a series of filtering and trimming operations in an interactive framework. FastqCleaner combines the technology of Bioconductor for NGS data analysis with the data visualization advantages of a web environment.ConclusionsFastqCleaner is an user-friendly, offline-capable tool that enables access to advanced Bioconductor infrastructure. The novel concept of a Bioconductor interactive application that can be used without the need for programming skills, makes FastqCleaner a valuable resource for NGS data analysis.


PEDIATRICS ◽  
1980 ◽  
Vol 66 (4) ◽  
pp. 653-654
Author(s):  
George Cembrowski ◽  
Carl C. Garber

The article by Brown et al1 interested us greatly. Direct fluorometric measurement of whole blood bilirubin, if accurate and precise, will help in the care of the jaundiced neonate. The accuracy and precision of this technique, however, cannot be readily assessed from the authors' data. Consider the comparison of the fluorometric method to the Jendrassik-Grof method for total bilirubin. To assess accuracy, the authors use the correlation coefficient, r, and the slope of the linear regression line through the method comparison data. There are two problems with this data analysis.


2011 ◽  
Vol 24 (3) ◽  
pp. 45-60
Author(s):  
Ben Ali ◽  
Samar Mouakket

E-business domains have been considered killer domains for different data analysis techniques. Most researchers have examined data mining (DM) techniques to analyze the databases behind E-business websites. DM has shown interesting results, but this technique presents some restrictions concerning the content of the database and the level of expertise of the users interpreting the results. In this paper, the authors show that successful and more sophisticated results can be obtained using other analysis techniques, such as Online Analytical Processing (OLAP) and Spatial OLAP (SOLAP). Thus, the authors propose a framework that fuses or integrates OLAP with SOLAP techniques in an E-business domain to perform easier and more user-friendly data analysis (non-spatial and spatial) and improve decision making. In addition, the authors apply the framework to an E-business website related to online job seekers in the United Arab Emirates (UAE). The results can be used effectively by decision makers to make crucial decisions in the job market of the UAE.


2020 ◽  
Vol 93 ◽  
pp. 101557 ◽  
Author(s):  
David Medina-Ortiz ◽  
Sebastián Contreras ◽  
Cristofer Quiroz ◽  
Juan A. Asenjo ◽  
Álvaro Olivera-Nappa

2019 ◽  
Vol 36 (5) ◽  
pp. 1647-1648 ◽  
Author(s):  
Bilal Wajid ◽  
Hasan Iqbal ◽  
Momina Jamil ◽  
Hafsa Rafique ◽  
Faria Anwar

Abstract Motivation Metabolomics is a data analysis and interpretation field aiming to study functions of small molecules within the organism. Consequently Metabolomics requires researchers in life sciences to be comfortable in downloading, installing and scripting of software that are mostly not user friendly and lack basic GUIs. As the researchers struggle with these skills, there is a dire need to develop software packages that can automatically install software pipelines truly speeding up the learning curve to build software workstations. Therefore, this paper aims to provide MetumpX, a software package that eases in the installation of 103 software by automatically resolving their individual dependencies and also allowing the users to choose which software works best for them. Results MetumpX is a Ubuntu-based software package that facilitate easy download and installation of 103 tools spread across the standard metabolomics pipeline. As far as the authors know MetumpX is the only solution of its kind where the focus lies on automating development of software workstations. Availability and implementation https://github.com/hasaniqbal777/MetumpX-bin. Supplementary information Supplementary data are available at Bioinformatics online.


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