Results 11 to 20 of about 9,437,828 (334)

Analysis of Chamber Data [PDF]

open access: yes, 2023
AbstractIn this chapter, we focus on aspects of analysis of typical simulation chamber experiments and recommend best practices in term of data analysis of simulation chamber results relevant for both gas phase and particulate phase atmospheric chemistry. The first two sections look at common gas-phase measurements of relative rates and product yields.
Seakins, Paul   +19 more
openaire   +3 more sources

A Multi-Scale Object Detector Based on Coordinate and Global Information Aggregation for UAV Aerial Images

open access: yesRemote Sensing, 2023
Unmanned aerial vehicle (UAV) image object detection has great application value in the military and civilian fields. However, the objects in the captured images from UAVs have problems of large-scale variation, complex backgrounds, and a large ...
Liming Zhou   +6 more
doaj   +1 more source

Bioequivalence data analysis [PDF]

open access: yesTranslational and Clinical Pharmacology, 2020
SAS® is commonly used for bioequivalence (BE) data analysis. R is a free and open software for general purpose data analysis, and is less frequently used than SAS® for BE data analysis. This tutorial explains how R can be used for BE data analysis to generate comparable results with SAS®.
Gowooni Park   +2 more
openaire   +3 more sources

Addressing gaps in data on drinking water quality through data integration and machine learning: evidence from Ethiopia

open access: yesnpj Clean Water, 2023
Monitoring access to safely managed drinking water services requires information on water quality. An increasing number of countries have integrated water quality testing in household surveys however it is not anticipated that such tests will be included
Alemayehu A. Ambel   +5 more
doaj   +1 more source

Analysis of HiChIP Data

open access: yes, 2021
HiChIP is a novel method for the analysis of chromatin interactions based on in situ Hi-C that adds an immuno-precipitation (ChIP) step for the investigation of chromatin structures driven by specific proteins. This approach has been shown to be very efficient as it reliably reproduces Hi-C results and displays a higher rate of informative reads with a
Dori M., Forcato M.
openaire   +3 more sources

A comprehensive overview of genomic imprinting in breast and its deregulation in cancer

open access: yesNature Communications, 2018
In growth and development genomic imprinting is important in regulating gene expression. Here, the authors study loss of imprinting (LOI) in cancer, developing a mixture model to detect monoallelically expressed loci without genotyping data - applying ...
Tine Goovaerts   +6 more
doaj   +1 more source

Geometric Data Analysis, From Correspondence Analysis to Structured Data Analysis (book review) [PDF]

open access: yesJournal of Classification 25, 137-141, 2008, 2008
Review of: Brigitte Le Roux and Henry Rouanet, Geometric Data Analysis, From Correspondence Analysis to Structured Data Analysis, Kluwer, Dordrecht, 2004, xi+475 pp.
arxiv   +1 more source

Design Principles for Data Analysis [PDF]

open access: yes, 2021
The data science revolution has led to an increased interest in the practice of data analysis. While much has been written about statistical thinking, a complementary form of thinking that appears in the practice of data analysis is design thinking -- the problem-solving process to understand the people for whom a product is being designed. For a given
arxiv   +1 more source

Deep learning for sustainable agriculture needs ecology and human involvement

open access: yesJournal of Sustainable Agriculture and Environment, 2023
Deep learning is an emerging data analytic tool that can improve predictability, efficiency and sustainability in agriculture. With a bibliometric analysis of 156 articles, we show how deep learning methods have been applied in the context of sustainable
Masahiro Ryo   +6 more
doaj   +1 more source

Monitoring water quality using control charts at PDAM Surya Sembada Surabaya

open access: yesAbdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang, 2023
Statistical quality control using control charts is an easy-to-implement method to improve quality. Improvements in the quality of products and services are continuously implemented to meet consumer needs.
Valeriana Lukitosari   +4 more
doaj   +1 more source

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