scholarly journals GeoDarwin, an Open-Source Geological Data Management Tool

2019 ◽  
Vol 3 ◽  
Author(s):  
Pascale Lahogue ◽  
Jean-Marc Herpers ◽  
Franck Theeten ◽  
Didier VandenSpiegel
Keyword(s):  
Data Management ◽  
Open Source ◽  
Central Africa ◽  
Biological Data ◽  
Heavy Minerals ◽  
Management Tool ◽  
Field Observations ◽  
Geological Data ◽  
Web Interface ◽  
Natural Heritage

The Royal Museum for Central Africa (RMCA) holds one of the largest world collections of geological samples and documents about Central Africa (Congo, Rwanda, Burundi), offering unique reference material. The Geology services of RMCA contain around 16,000 minerals, 300,000 rocks, 21,500 fossils, and 30,000 maps. Their Archives include field notes, books, maps, and aerial photography containing valuable complementary information. GeoDaRWIN is an “in-house” solution developed by RMCA as a collections management system for geological collections. Created using Microsoft Access, the model is currently transferred to open source software’s consisting of a PostgreSQL database and a customizable web-interface based on the Symfony 3 framework. Development began in 2018 and is still ongoing. Around 12,000 samples, 29,000 documents, and 30,500 localizations are already in the database. GeoDaRWIN manages three categories collection materials: 1) field observations with their localization (e.g., coordinates, lithostratigraphy, drilling, structural analysis), 2) samples (minerals, rocks, fossils) and the results of their analysis (e.g., constituent minerals of rocks, heavy minerals, granulometry, magnetic susceptibility), and 3) documents (e.g., maps, archives, aerial photos, satellite images, documentation). In the model, these three types of information (field observations, samples, and documents) retain the existing relationships between them. The aim of the project is to centralize all data in a single system on a service that can be available both on internet and intranet. It thus offers a common relational data model for these different geological items. The emphasis has been set on the integration of a hierarchical thesaurus of keywords, which can be mapped to several international vocabularies (e.g., INSPIRE, GEMET, examples coming from the GeoSciML documentation). A Github repository of the database web interface in Symfony 3.4 is available at: https://github.com/naturalsciences/ natural_heritage_geology. This system aims also to be compliant with the central data portal developed by the Royal Museum for Central Africa, the Royal Belgian Institute of Natural Sciences, and Meise Botanical Garden. This portal will provide a common gateway to Belgian scientific data, one of the objectives of the project “Natural Heritage”, along with the development of databases for biological data (database called “DaRWIN”, more info on poster “DaRWIN, Open Source system for collections data management”) and geological data (“GeoDaRWIN”). See more info about project “Natural Heritage” in the poster "NaturalHeritage: Bridging Belgian Natural History Collections".

scholarly journals Implementation of a Six-Layer Smart Factory Architecture with Special Focus on Transdisciplinary Engineering Education

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 2944
Author(s):  
Benjamin James Ralph ◽  
Marcel Sorger ◽  
Benjamin Schödinger ◽  
Hans-Jörg Schmölzer ◽  
Karin Hartl ◽  
...  
Keyword(s):  
Open Source ◽  
User Interfaces ◽  
Industrial Revolution ◽  
Low Cost ◽  
Material Behavior ◽  
Sensor Data ◽  
Management Tool ◽  
Special Focus ◽  
Programming Environments ◽  
Metal Processing

Smart factories are an integral element of the manufacturing infrastructure in the context of the fourth industrial revolution. Nevertheless, there is frequently a deficiency of adequate training facilities for future engineering experts in the academic environment. For this reason, this paper describes the development and implementation of two different layer architectures for the metal processing environment. The first architecture is based on low-cost but resilient devices, allowing interested parties to work with mostly open-source interfaces and standard back-end programming environments. Additionally, one proprietary and two open-source graphical user interfaces (GUIs) were developed. Those interfaces can be adapted front-end as well as back-end, ensuring a holistic comprehension of their capabilities and limits. As a result, a six-layer architecture, from digitization to an interactive project management tool, was designed and implemented in the practical workflow at the academic institution. To take the complexity of thermo-mechanical processing in the metal processing field into account, an alternative layer, connected with the thermo-mechanical treatment simulator Gleeble 3800, was designed. This framework is capable of transferring sensor data with high frequency, enabling data collection for the numerical simulation of complex material behavior under high temperature processing. Finally, the possibility of connecting both systems by using open-source software packages is demonstrated.

scholarly journals No evidence that horn trimming affects white rhinoceros horn use during comfort behaviour and resource access

2021 ◽  
pp. 1-17
Author(s):  
Samuel G. Penny ◽  
Rachel L. White ◽  
Dawn M. Scott ◽  
Lynne MacTavish ◽  
Angelo P. Pernetta
Keyword(s):  
Social Interactions ◽  
Conservation Management ◽  
Management Tool ◽  
Field Observations ◽  
Biological Impact ◽  
Resource Access ◽  
Behavioural Effects ◽  
White Rhinoceros ◽  
Ceratotherium Simum Simum ◽  
Species Ecology

Abstract Rhino species use their horns in social interactions but also when accessing resources, rubbing and in interspecific defence. The current poaching crisis has seen southern white rhinos (Ceratotherium simum simum) increasingly dehorned as a conservation management practise, but few studies have evaluated whether the procedure has any behavioural effects. This study sought to document and describe horn-contingent behaviours during resource access, wallowing and rubbing in freeranging white rhinos and establish whether dehorning, also known as horn trimming, impacts on their frequency or function. Data were collected through camera trapping and field observations at two sites in South Africa. The results provide no evidence that dehorning disrupts digging behaviours during mineral consumption or wallowing and suggests that dehorning is unlikely to have a strong biological impact on resource access. Furthermore, the frequency of horn-rubbing behaviours did not appear to be influenced by levels of horn growth. This suggests the procedure has a limited impact on these aspects of the species’ ecology and provides support that dehorning can be employed as a management tool to reduce poaching in freeranging populations of white rhino.

scholarly journals JTrack: A Digital Biomarker Platform for Remote Monitoring of Daily-Life Behaviour in Health and Disease

2021 ◽  
Vol 9 ◽  
Author(s):  
Mehran Sahandi Far ◽  
Michael Stolz ◽  
Jona M. Fischer ◽  
Simon B. Eickhoff ◽  
Juergen Dukart
Keyword(s):  
Data Management ◽  
Open Source ◽  
Remote Monitoring ◽  
Daily Life ◽  
Smartphone Application ◽  
Valuable Insight ◽  
Motion Sensors ◽  
General Data Protection Regulation ◽  
Wide Range ◽  
Health And Disease

Health-related data being collected by smartphones offer a promising complementary approach to in-clinic assessments. Despite recent contributions, the trade-off between privacy, optimization, stability and research-grade data quality is not well met by existing platforms. Here we introduce the JTrack platform as a secure, reliable and extendable open-source solution for remote monitoring in daily-life and digital-phenotyping. JTrack is an open-source (released under open-source Apache 2.0 licenses) platform for remote assessment of digital biomarkers (DB) in neurological, psychiatric and other indications. JTrack is developed and maintained to comply with security, privacy and the General Data Protection Regulation (GDPR) requirements. A wide range of anonymized measurements from motion-sensors, social and physical activities and geolocation information can be collected in either active or passive modes by using JTrack Android-based smartphone application. JTrack also provides an online study management dashboard to monitor data collection across studies. To facilitate scaling, reproducibility, data management and sharing we integrated DataLad as a data management infrastructure. Smartphone-based Digital Biomarker data may provide valuable insight into daily-life behaviour in health and disease. As illustrated using sample data, JTrack provides as an easy and reliable open-source solution for collection of such information.

scholarly journals QSAR-Co-X: An Open Source Toolkit for Multi-Target QSAR Modelling

2020 ◽  
Author(s):  
M. Natália Dias Soeiro Cordeiro ◽  
Amit Kumar Halder
Keyword(s):  
Open Source ◽  
Linear Models ◽  
Moving Average ◽  
Biological Data ◽  
Statistical Parameters ◽  
Computational Tools ◽  
Qsar Modelling ◽  
Qsar Models ◽  
Quantitative Structure Activity Relationships ◽  
Set Up

Abstract Quantitative structure activity relationships (QSAR) modelling is a well-known computational tool, often used in a wide variety of applications. Yet one of the major drawbacks of conventional QSAR modelling tools is that models are set up based on a limited number of experimental and/or theoretical conditions. To overcome this, the so-called multitasking or multi-target QSAR (mt-QSAR) approaches have emerged as new computational tools able to integrate diverse chemical and biological data into a single model equation, thus extending and improving the reliability of this type of modelling. We have developed QSAR-Co-X, an open source python−based toolkit (available to download at https://github.com/ncordeirfcup/QSAR-Co-X) for supporting mt-QSAR modelling following the Box-Jenkins moving average approach. The new toolkit embodies several functionalities for dataset selection and curation plus computation of descriptors, for setting up linear and non-linear models, as well as for a comprehensive results analysis. The workflow within this toolkit is guided by a cohort of multiple statistical parameters along with graphical outputs onwards assessing both the predictivity and the robustness of the derived mt-QSAR models. To monitor and demonstrate the functionalities of the designed toolkit, three case-studies pertaining to previously reported datasets are examined here. We believe that this new toolkit, along with our previously launched QSAR-Co code, will significantly contribute to make mt-QSAR modelling widely and routinely applicable.

UHF RFID proof of concept (POC) with open-source ILS at Universiti Sains Malaysia (USM) Libraries

2015 ◽  
Vol 49 (2) ◽  
pp. 135-150 ◽  
Author(s):  
JingHuey Khor ◽  
Widad Ismail ◽  
Mohd Nasir Md Rashid ◽  
A. Akla Wan Ismail ◽  
Muhammad Qayum Omar ◽  
...  
Keyword(s):  
Data Management ◽  
Open Source ◽  
Management System ◽  
Data Management System ◽  
Proof Of Concept ◽  
Rfid Technology ◽  
Uhf Rfid ◽  
Content Type ◽  
Library Automation ◽  
Detection Technologies

Purpose – Universiti Sains Malaysia (USM) uses different detection technologies and integrated library systems (ILS) at its four libraries located at different sites. Hence, ubiquitous data management system is required in the four libraries to enable real-time data sharing and tracking among the libraries. The paper aims to discuss these issues. Design/methodology/approach – Proof of concept is used to verify the performance of integration between different detection technologies including barcode, high frequency (HF) and ultra high frequency (UHF) radio frequency identification (RFID) as well as Integrated Library Management Utility (ILMU) and Koha ILSs. Five pilot tests are performed to investigate the speed of the borrowing and returning transactions, the efficiency of security gate to detect non-borrowed items, and the reliability of the ubiquitous data management system. Findings – The HF RFID technology and the proprietary library system have been used in many libraries. The current study proves that the integration of the UHF RFID technology and the Koha open-source ILS, which is named as Total Open-Source Library Automation Solution, can be a novel solution and can serve as a guide for other libraries. Originality/value – In the current phase of library data management system, it is common to integrate various technologies in improving the efficiency of the library system. But, the combination of Koha with UHF RFID into a single ILS for intra-library automation system has not been proven. This shows the importance of the proposed proven proof of concept that proves such integration is suitable to be implemented at USM libraries and other libraries.

JuTrack: A Digital Biomarker Platform for Remote Monitoring in Neuropsychiatric and Psychiatric Diseases (Preprint)

2021 ◽  
Author(s):  
Mehran Sahandi Far ◽  
Michael Stolz ◽  
Jona Marcus Fischer ◽  
Simon B Eickhoff ◽  
Juergen Dukart
Keyword(s):  
Data Management ◽  
Open Source ◽  
Remote Monitoring ◽  
Daily Life ◽  
Smartphone Application ◽  
Valuable Insight ◽  
Motion Sensors ◽  
Management Tools ◽  
General Data Protection Regulation ◽  
Wide Range

BACKGROUND Health-related data being collected by smartphones offer a promising complementary approach to in-clinic assessments. OBJECTIVE Here we introduce the JuTrack platform as a secure, reliable and extendable open-source solution for remote monitoring in daily-life and digital phenotyping. METHODS JuTrack consists of an Android-based smartphone application and a web-based project management dashboard. A wide range of anonymized measurements from motion-sensors, social and physical activities and geolocation information can be collected in either active or passive modes. The dashboard also provides management tools to monitor and manage data collection across studies. To facilitate scaling, reproducibility, data management and sharing we integrated DataLad as a data management infrastructure. JuTrack was developed to comply with security, privacy and the General Data Protection Regulation (GDPR) requirements. RESULTS JuTrack is an open-source (released under open-source Apache 2.0 licenses) platform for remote assessment of digital biomarkers (DB) in neurological, psychiatric and other indications. The main components of the JuTrack platform and examples of data being collected using JuTrack are presented here. CONCLUSIONS Smartphone-based Digital Biomarker data may provide valuable insight into daily life behaviour in health and disease. JuTrack provides an easy and reliable open-source solution for collection of such data.

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