scholarly journals How to use orgmode for reproducible research, rough cut version 1

2021 ◽  
Author(s):  
Arindam Basu
Keyword(s):  
Reproducible Research ◽  
Rough Cut

scholarly journals UWB-gestures, a public dataset of dynamic hand gestures acquired using impulse radar sensors

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Shahzad Ahmed ◽  
Dingyang Wang ◽  
Junyoung Park ◽  
Sung Ho Cho
Keyword(s):  
Learning Algorithms ◽  
Machine Learning Algorithms ◽  
Ultra Wideband ◽  
Reproducible Research ◽  
Hand Gesture ◽  
Hand Gestures ◽  
Radar Sensors ◽  
The Past ◽  
Human Volunteers ◽  
Public Dataset

AbstractIn the past few decades, deep learning algorithms have become more prevalent for signal detection and classification. To design machine learning algorithms, however, an adequate dataset is required. Motivated by the existence of several open-source camera-based hand gesture datasets, this descriptor presents UWB-Gestures, the first public dataset of twelve dynamic hand gestures acquired with ultra-wideband (UWB) impulse radars. The dataset contains a total of 9,600 samples gathered from eight different human volunteers. UWB-Gestures eliminates the need to employ UWB radar hardware to train and test the algorithm. Additionally, the dataset can provide a competitive environment for the research community to compare the accuracy of different hand gesture recognition (HGR) algorithms, enabling the provision of reproducible research results in the field of HGR through UWB radars. Three radars were placed at three different locations to acquire the data, and the respective data were saved independently for flexibility.

scholarly journals Towards Reproducible Research of Event Detection Techniques for Twitter

2019 ◽  
Author(s):  
Andreas Weiler ◽  
Harry Schilling ◽  
Lukas Kircher ◽  
Michael Grossniklaus
Keyword(s):  
Event Detection ◽  
Reproducible Research ◽  
Detection Techniques

Reproducible research: Geophysics papers of the future — Introduction

Geophysics ◽  
2017 ◽  
Vol 82 (6) ◽  
pp. WBi-WBii ◽  
Author(s):  
Filippo Broggini ◽  
Joseph Dellinger ◽  
Sergey Fomel ◽  
Yang Liu
Keyword(s):  
Reproducible Research ◽  
The Future

A Grinding/Polishing Tool for TEM Sample Preparation

1987 ◽  
Vol 115 ◽  
Author(s):  
S. J. Klepeis ◽  
J. P. Benedict ◽  
R. M. Anderson
Keyword(s):  
Sample Preparation ◽  
Cross Section ◽  
Ion Milling ◽  
Silicon Devices ◽  
Time Required ◽  
Polishing Tool ◽  
Rough Cut

ABSTRACTA grinding/polishing tool has been developed for preparing TEM samples. The hand-held tool is 2.50″ in diameter and 3.0″ high. Rough-cut samples, 300 to 600 microns thick, are routinely polished to 5 microns thick in four to six hours using this tool. As these 5 micron samples are so thin and uniform, a separate dimpling operation can be eliminated. Likewise, the time required to ion-mill the sample can be reduced to 0.5 to 2.0 hours – greatly reducing ion-milling artifacts and significantly increasing the area viewable by TEM. The process is equally effective for all classes of samples: Silicon devices, ceramics or metals – in either cross-section or planar views.

The New Statistics with R

2021 ◽  
Author(s):  
Andy Hector
Keyword(s):  
Linear Model ◽  
Evolutionary Biology ◽  
Environmental Science ◽  
Research Training ◽  
Model Analysis ◽  
Scientific Data ◽  
Information Criteria ◽  
Reproducible Research ◽  
Data Sets ◽  
R Programming

Statistics is a fundamental component of the scientific toolbox, but learning the basics of this area of mathematics is one of the most challenging parts of a research training. This book gives an up-to-date introduction to the classical techniques and modern extensions of linear-model analysis—one of the most useful approaches in the analysis of scientific data in the life and environmental sciences. The book emphasizes an estimation-based approach that takes account of recent criticisms of overuse of probability values and introduces the alternative approach using information criteria. The book is based on the use of the open-source R programming language for statistics and graphics, which is rapidly becoming the lingua franca in many areas of science. This second edition adds new chapters, including one discussing some of the complexities of linear-model analysis and another introducing reproducible research documents using the R Markdown package. Statistics is introduced through worked analyses performed in R using interesting data sets from ecology, evolutionary biology, and environmental science. The data sets and R scripts are available as supporting material.

Roundtable: Challenges in repeatable experiments and reproducible research in data science

2021 ◽  
Vol 13 (2) ◽  
pp. 100-108
Author(s):  
K.V. Vorontsov ◽  
V.I. Iglovikov ◽  
V.V. Strijov ◽  
A.E. Ustuzhanin ◽  
A.S. Khritankov
Keyword(s):  
Data Science ◽  
Reproducible Research

Bridging the gap: A geroscience primer for neuroscientists with potential collaborative applications

2021 ◽  
Author(s):  
Jessica M Hoffman ◽  
Caesar M Hernandez ◽  
Abbi R Hernandez ◽  
Jennifer L Bizon ◽  
Sara N Burke ◽  
...  
Keyword(s):  
Neurodegenerative Diseases ◽  
Disease Diagnosis ◽  
The State ◽  
Reproducible Research ◽  
Collaborative Effort ◽  
Important Impact ◽  
Collaborative Applications ◽  
The Many ◽  
Biology Of Aging

Abstract While neurodegenerative diseases can strike at any age, the majority of afflicted individuals are diagnosed at older ages. Due to the important impact of age in disease diagnosis, the field of neuroscience could greatly benefit from the many of the theories and ideas from the biology of aging – now commonly referred as geroscience. As discussed in our complementary perspective on the topic, there is often a “silo-ing” between geroscientists who work on understanding the mechanisms underlying aging and neuroscientists who are studying neurodegenerative diseases. While there have been some strong collaborations between the biology of aging and neuroscientists, there is still great potential for enhanced collaborative effort between the two fields. To this end, here, we review the state of the geroscience field, discuss how neuroscience could benefit from thinking from a geroscience perspective, and close with a brief discussion on some of the “missing links” between geroscience and neuroscience and how to remedy them. Notably, we have a corresponding, concurrent review from the neuroscience perspective. Our overall goal is to “bridge the gap” between geroscience and neuroscience such that more efficient, reproducible research with translational potential can be conducted.

scholarly journals Reproducible Research in the Vadose Zone Sciences

CSA News ◽  
2015 ◽  
Vol 60 (10) ◽  
pp. 22-22
Author(s):  
Michael Young ◽  
Todd Skaggs
Keyword(s):  
Vadose Zone ◽  
Reproducible Research
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