1,720,961 research outputs found
labcontrol-data/vehicleCAN: First release Vehicle CAN (corrected)
No full text<p>Data, source code, and documents for the automotive throttle valve experiments for emulating a CAN</p>
labcontrol-data/vehicleCAN: Second release Vehicle CAN (source code updated April 2021)
No full textCode and experimental data for the paper: Stability of asynchronous sampled-data systems with input delay: application to an automotive throttle valve'.
Authors: Alessandro N. Vargas, Frederic Mazenc, Constantin F. Caruntu, and Matthew M. Pee
LabControl: a software for microbial information management
Get PDFDuring the past years, next-generation sequencing techniques have allowed large-scale sequencing and generated an enormous and constantly increasing quantity of genomic data. This scenery, together with the development of cheap, faster and modern microbiological techniques, has allowed scientists to produce more data with higher quality. However, this advance has created management issues to microbiological laboratories which deal with NGS and biological collections. Considering those management issues, the main goal of this study is to develop a Laboratory Information Management System (LIMS) to support these laboratories in the management of the generated data. LabControl was implemented as a web-based system, using the programming language Java. Its functionalities and data model were designed according to literature, data patterns and researchers opinions. As a result, a reliable and validated data model was specified and the functionalities of the system were designed based on that model. To address the established needs, the architecture of the system was designed and the technologies to be used were chosen. The system has been built with the usage of modern and reliable technologies, and based on good practices of scientific computing and software development. LabControl is presented as a comprehensive open-source LIMS specialized in managing NGS and biologic collections microbiological data. Nevertheless, the system can be used by any microbiological laboratory due to its capability to handle any type of information from in silico, in vivo and in vitro experiments. Finally,LabControl presents an easy-to-use interface and can be easily expanded to handle non-addressed features
LabControl: a software for microbial information management
No full textDuring the past years, next-generation sequencing techniques have allowed large-scale sequencing and generated an enormous and constantly increasing quantity of genomic data. This scenery, together with the development of cheap, faster and modern microbiological techniques, has allowed scientists to produce more data with higher quality. However, this advance has created management issues to microbiological laboratories which deal with NGS and biological collections. Considering those management issues, the main goal of this study is to develop a Laboratory Information Management System (LIMS) to support these laboratories in the management of the generated data. LabControl was implemented as a web-based system, using the programming language Java. Its functionalities and data model were designed according to literature, data patterns and researchers opinions. As a result, a reliable and validated data model was specified and the functionalities of the system were designed based on that model. To address the established needs, the architecture of the system was designed and the technologies to be used were chosen. The system has been built with the usage of modern and reliable technologies, and based on good practices of scientific computing and software development. LabControl is presented as a comprehensive open-source LIMS specialized in managing NGS and biologic collections microbiological data. Nevertheless, the system can be used by any microbiological laboratory due to its capability to handle any type of information from in silico, in vivo and in vitro experiments. Finally,LabControl presents an easy-to-use interface and can be easily expanded to handle non-addressed features
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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