Data Analysis and Presentation

2018 ◽  
pp. 177-192
Author(s):  
John R. B. Lighton

This chapter discusses ways of analyzing and presenting metabolic data while avoiding common mistakes. Topics covered include vital information often omitted from manuscripts; how to analyze the allometry of metabolic rate on mass; the mistake of reporting mass-specific or “mass-independent” metabolic rates; methods for quantifying differences between treatment groups by analysis of covariance; the importance of phylogeny in interspecific comparisons; the importance of the temperature at which measurements are made, including mammals (the thermal neutral zone); the necessity of leaving an “audit trail” from raw data through to final analysis; analyzing temperature effects such as Q10 correctly; and the proper selection of metabolic data.

Author(s):  
Rommel Estores ◽  
Pascal Vercruysse ◽  
Karl Villareal ◽  
Eric Barbian ◽  
Ralph Sanchez ◽  
...  

Abstract The failure analysis community working on highly integrated mixed signal circuitry is entering an era where simultaneously System-On-Chip technologies, denser metallization schemes, on-chip dissipation techniques and intelligent packages are being introduced. These innovations bring a great deal of defect accessibility challenges to the failure analyst. To contend in this era while aiming for higher efficiency and effectiveness, the failure analysis environment must undergo a disruptive evolution. The success or failure of an analysis will be determined by the careful selection of tools, data and techniques in the applied analysis flow. A comprehensive approach is required where hardware, software, data analysis, traditional FA techniques and expertise are complementary combined [1]. This document demonstrates this through the incorporation of advanced scan diagnosis methods in the overall analysis flow for digital functionality failures and supporting the enhanced failure analysis methodology. For the testing and diagnosis of the presented cases, compact but powerful scan test FA Lab hardware with its diagnosis software was used [2]. It can therefore easily be combined with the traditional FA techniques to provide stimulus for dynamic fault localizations [3]. The system combines scan chain information, failure data and layout information into one viewing environment which provides real analysis power for the failure analyst. Comprehensive data analysis is performed to identify failing cells/nets, provide a better overview of the failure and the interactions to isolate the fault further to a smaller area, or to analyze subtle behavior patterns to find and rationalize possible faults that are otherwise not detected. Three sample cases will be discussed in this document to demonstrate specific strengths and advantages of this enhanced FA methodology.


2018 ◽  
Vol 3 (1) ◽  
pp. 001
Author(s):  
Zulhendra Zulhendra ◽  
Gunadi Widi Nurcahyo ◽  
Julius Santony

In this study using Data Mining, namely K-Means Clustering. Data Mining can be used in searching for a large enough data analysis that aims to enable Indocomputer to know and classify service data based on customer complaints using Weka Software. In this study using the algorithm K-Means Clustering to predict or classify complaints about hardware damage on Payakumbuh Indocomputer. And can find out the data of Laptop brands most do service on Indocomputer Payakumbuh as one of the recommendations to consumers for the selection of Laptops.


2016 ◽  
Vol 33 (4) ◽  
pp. 374-390 ◽  
Author(s):  
Samantha J. Downs ◽  
Stuart J. Fairclough ◽  
Zoe R. Knowles ◽  
Lynne M. Boddy

The aim of this study was to assess the physical activity (PA) patterns of youth with intellectual disabilities (ID). PA was monitored for 7 days in 70 participants, 5–15 years old, using accelerometers. There were 32 participants included in the final analysis. Habitual PA and the number of continuous bouts accrued for a range of bout lengths (5–600 s) for light (LPA), moderate (MPA), and vigorous (VPA) PA were calculated. Multivariate analysis of covariance was used to assess differences in the number of continuous bouts by sex, age, and ID group and between week and weekend days. Participants exhibited short sporadic bursts of activity. The number of continuous bouts decreased as the intensity and duration increased. Few differences in PA patterns were reported by sex, ID group, and age group and between week and weekend days, possibly due to the generally low PA levels in this population.


Solid Earth ◽  
2011 ◽  
Vol 2 (1) ◽  
pp. 53-63 ◽  
Author(s):  
S. Tavani ◽  
P. Arbues ◽  
M. Snidero ◽  
N. Carrera ◽  
J. A. Muñoz

Abstract. In this work we present the Open Plot Project, an open-source software for structural data analysis, including a 3-D environment. The software includes many classical functionalities of structural data analysis tools, like stereoplot, contouring, tensorial regression, scatterplots, histograms and transect analysis. In addition, efficient filtering tools are present allowing the selection of data according to their attributes, including spatial distribution and orientation. This first alpha release represents a stand-alone toolkit for structural data analysis. The presence of a 3-D environment with digitalising tools allows the integration of structural data with information extracted from georeferenced images to produce structurally validated dip domains. This, coupled with many import/export facilities, allows easy incorporation of structural analyses in workflows for 3-D geological modelling. Accordingly, Open Plot Project also candidates as a structural add-on for 3-D geological modelling software. The software (for both Windows and Linux O.S.), the User Manual, a set of example movies (complementary to the User Manual), and the source code are provided as Supplement. We intend the publication of the source code to set the foundation for free, public software that, hopefully, the structural geologists' community will use, modify, and implement. The creation of additional public controls/tools is strongly encouraged.


2015 ◽  
Vol 32 (22) ◽  
pp. 224019 ◽  
Author(s):  
A S Silbergleit ◽  
J W Conklin ◽  
M I Heifetz ◽  
T Holmes ◽  
J Li ◽  
...  

2015 ◽  
Vol 88 ◽  
pp. 55-73 ◽  
Author(s):  
Marko Knezevic ◽  
Milovan Zecevic ◽  
Irene J. Beyerlein ◽  
John F. Bingert ◽  
Rodney J. McCabe

2019 ◽  
Vol 3 (1) ◽  
pp. 22-28
Author(s):  
Muhammad Rasyid Ridho Lubis ◽  
Dwi Kartikasari

Dendang Melayu Beach is a public beach that is being developed by the Batam City Government. Although various efforts have been made by the government to increase the number of visitors to this beach, it turns out that the number of visitors has not necessarily increased consistently but fluctuated up and down. Therefore, this research was carried out to further explore the behavior of visitors in the hope that it could become a material evaluation of the government in developing this tourist attraction. This study aims to examine the effect of consumer behavior on the selection of Dendang Melayu Beach tourist attractions. The respondents of this study were 100 tourists who visited the Batam Dendang Beach. The data analysis method used is inductive statistics using multiple linear regression. The results of this study are the four variables of consumer behavior namely cultural, social, personal and psychological factors partially positive and significant effect on the choice of tourist attractions.


2020 ◽  
Vol 16 (1) ◽  
pp. 105
Author(s):  
Miranda Mandang ◽  
Mex Frans Lodwyk Sondakh ◽  
Olly Esry Harryani Laoh

This study aims to determine the characteristics of smallholder farmers in Tolok Village, Tompaso District. The study was conducted in August to September 2019. The selection of samples in this study was carried out purposevley with 33 respondent farmers, namely those who have small size of land of less than 0.5 hectares. The data used in this study are primary data and secondary data. Primary data collected through interviews and observations. Secondary data were obtained from the Tolok Village office, library and the Internet. Data analysis uses description analysis, which describes the characteristics of smallholder farmers and is presented in tabular form. The results showed that farmers who have small size of land with low income and are unable to rely solely on the agricultural sector as a source of income. The non-agricultural sector is also used as a source of additional income to meet their needs.*eprm*


2018 ◽  
Vol 18 (1) ◽  
Author(s):  
Lori Fogus Gooding

An Introduction to Music Therapy Research, edited by Barbara Wheeler and Kathleen Murphy, is a 20-chapter that provides overview of how research has been conceived and implemented in music therapy. The text is geared to those beginning their studies in music therapy and as such address all stages of research, beginning with foundational aspects like selection of a topic before moving to a more detailed presentation of specific research components like data analysis and interpretation of results. Objectivist (qualitative) and interpretivist (quantitative research) theoretical perspectives, methodologies, and methods are included in the book, as well as information on mixed methods research and important historical, ethical, and multicultural considerations.


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