The Beilstein Online Database

1990 ◽  
Keyword(s):  
Online Database

A Database for Counterfeit Electronics and Automatic Defect Detection Based on Image Processing and Machine Learning

2016 ◽  
Author(s):  
Navid Asadizanjani ◽  
Sachin Gattigowda ◽  
Mark Tehranipoor ◽  
Domenic Forte ◽  
Nathan Dunn
Keyword(s):  
Machine Learning ◽  
Image Processing ◽  
Integrated Circuits ◽  
Web Application ◽  
The United States ◽  
Global Market ◽  
Online Database ◽  
Ongoing Effort ◽  
Time Period ◽  
Physical Defects

Abstract Counterfeiting is an increasing concern for businesses and governments as greater numbers of counterfeit integrated circuits (IC) infiltrate the global market. There is an ongoing effort in experimental and national labs inside the United States to detect and prevent such counterfeits in the most efficient time period. However, there is still a missing piece to automatically detect and properly keep record of detected counterfeit ICs. Here, we introduce a web application database that allows users to share previous examples of counterfeits through an online database and to obtain statistics regarding the prevalence of known defects. We also investigate automated techniques based on image processing and machine learning to detect different physical defects and to determine whether or not an IC is counterfeit.

scholarly journals FlyBase: updates to the Drosophila melanogaster knowledge base

2020 ◽  
Vol 49 (D1) ◽  
pp. D899-D907 ◽  
Author(s):  
Aoife Larkin ◽  
Steven J Marygold ◽  
Giulia Antonazzo ◽  
Helen Attrill ◽  
Gilberto dos Santos ◽  
...  
Keyword(s):  
Drosophila Melanogaster ◽  
Knowledge Base ◽  
Fast Track ◽  
Model Organism ◽  
Disease Models ◽  
Online Database ◽  
Experimental Tool

Abstract FlyBase (flybase.org) is an essential online database for researchers using Drosophila melanogaster as a model organism, facilitating access to a diverse array of information that includes genetic, molecular, genomic and reagent resources. Here, we describe the introduction of several new features at FlyBase, including Pathway Reports, paralog information, disease models based on orthology, customizable tables within reports and overview displays (‘ribbons’) of expression and disease data. We also describe a variety of recent important updates, including incorporation of a developmental proteome, upgrades to the GAL4 search tab, additional Experimental Tool Reports, migration to JBrowse for genome browsing and improvements to batch queries/downloads and the Fast-Track Your Paper tool.

scholarly journals mtDNAcombine: tools to combine sequences from multiple studies

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Eleanor F. Miller ◽  
Andrea Manica
Keyword(s):  
Sequence Data ◽  
Data Extraction ◽  
Bayesian Skyline Plot ◽  
Model Organisms ◽  
Data Sets ◽  
Data Handling ◽  
Online Database ◽  
Genetic Studies ◽  
Wide Range ◽  
Existing Data

Abstract Background Today an unprecedented amount of genetic sequence data is stored in publicly available repositories. For decades now, mitochondrial DNA (mtDNA) has been the workhorse of genetic studies, and as a result, there is a large volume of mtDNA data available in these repositories for a wide range of species. Indeed, whilst whole genome sequencing is an exciting prospect for the future, for most non-model organisms’ classical markers such as mtDNA remain widely used. By compiling existing data from multiple original studies, it is possible to build powerful new datasets capable of exploring many questions in ecology, evolution and conservation biology. One key question that these data can help inform is what happened in a species’ demographic past. However, compiling data in this manner is not trivial, there are many complexities associated with data extraction, data quality and data handling. Results Here we present the mtDNAcombine package, a collection of tools developed to manage some of the major decisions associated with handling multi-study sequence data with a particular focus on preparing sequence data for Bayesian skyline plot demographic reconstructions. Conclusions There is now more genetic information available than ever before and large meta-data sets offer great opportunities to explore new and exciting avenues of research. However, compiling multi-study datasets still remains a technically challenging prospect. The mtDNAcombine package provides a pipeline to streamline the process of downloading, curating, and analysing sequence data, guiding the process of compiling data sets from the online database GenBank.

Linguistic Evidence for ‘Romanization’: Continuity and Change in Romano-British Onomastics: A Study of the Epigraphic Record with Particular Reference to Bath

Britannia ◽  
2007 ◽  
Vol 38 ◽  
pp. 35-61 ◽  
Author(s):  
Alex Mullen
Keyword(s):  
Online Database ◽  
Personal Names ◽  
Archaeological Material ◽  
Continuity And Change ◽  
Introductory Section ◽  
Literary Sources ◽  
Linguistic Evidence ◽  
Roman Culture ◽  
Shed Light

Based on a new online database of Celtic personal names, this research demonstrates how the study of Romano-British onomastics can shed light on the complexities of linguistic and cultural contacts, complementing archaeological material and literary sources. After an introductory section on methodology, Part One analyses naming formulae and expressions of filiation as evidence for both continuity and change dependent on social and geographical factors. Confusion and contamination between the Latin and Celtic systems proved much less common than on the Continent, where earlier contact with Roman culture and the written tradition for Continental Celtic occasionally facilitated an unusual form of syncretism. Part Two examines the naming formulae attested at Roman Bath and the mechanisms by which Celts adopted Latin names. The case-study of Bath relates continuity and change in both naming formulae and nomenclature to an acceptance of, or resistance to, ‘Romanization’ in Britain.

scholarly journals Evolutionary trends in animal ribosomal DNA loci: introduction to a new online database

Chromosoma ◽  
2017 ◽  
Vol 127 (1) ◽  
pp. 141-150 ◽  
Author(s):  
Jana Sochorová ◽  
Sònia Garcia ◽  
Francisco Gálvez ◽  
Radka Symonová ◽  
Aleš Kovařík
Keyword(s):  
Ribosomal Dna ◽  
Evolutionary Trends ◽  
Online Database
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