scholarly journals Interoperability and FAIRness through a novel combination of Web technologies

2017 ◽  
Vol 3 ◽  
pp. e110 ◽  
Author(s):  
Mark D. Wilkinson ◽  
Ruben Verborgh ◽  
Luiz Olavo Bonino da Silva Santos ◽  
Tim Clark ◽  
Morris A. Swertz ◽  
...  
Keyword(s):  
Design Patterns ◽  
Web Design ◽  
General Purpose ◽  
Data Types ◽  
Web Technologies ◽  
Clinical Observations ◽  
Pathway Data ◽  
Highly Sensitive ◽  
Legacy Data ◽  
Different Levels

Data in the life sciences are extremely diverse and are stored in a broad spectrum of repositories ranging from those designed for particular data types (such as KEGG for pathway data or UniProt for protein data) to those that are general-purpose (such as FigShare, Zenodo, Dataverse or EUDAT). These data have widely different levels of sensitivity and security considerations. For example, clinical observations about genetic mutations in patients are highly sensitive, while observations of species diversity are generally not. The lack of uniformity in data models from one repository to another, and in the richness and availability of metadata descriptions, makes integration and analysis of these data a manual, time-consuming task with no scalability. Here we explore a set of resource-oriented Web design patterns for data discovery, accessibility, transformation, and integration that can be implemented by any general- or special-purpose repository as a means to assist users in finding and reusing their data holdings. We show that by using off-the-shelf technologies, interoperability can be achieved atthe level of an individual spreadsheet cell. We note that the behaviours of this architecture compare favourably to the desiderata defined by the FAIR Data Principles, and can therefore represent an exemplar implementation of those principles. The proposed interoperability design patterns may be used to improve discovery and integration of both new and legacy data, maximizing the utility of all scholarly outputs.

scholarly journals Interoperability and FAIRness through a novel combination of Web technologies

2016 ◽  
Author(s):  
Mark D Wilkinson ◽  
Ruben Verborgh ◽  
Luiz Olavo Bonino da Silva Santos ◽  
Tim Clark ◽  
Morris A Swertz ◽  
...  
Keyword(s):  
Design Patterns ◽  
Web Design ◽  
General Purpose ◽  
Data Types ◽  
Web Technologies ◽  
Clinical Observations ◽  
Pathway Data ◽  
Highly Sensitive ◽  
Legacy Data ◽  
Different Levels

Data in the life sciences are extremely diverse and are stored in a broad spectrum of repositories ranging from those designed for particular data types (such as KEGG for pathway data or UniProt for protein data) to those that are general-purpose (such as FigShare, Zenodo, or EUDat). These data have widely different levels of sensitivity and security considerations. For example, clinical observations about genetic mutations in patients are highly sensitive, while observations of species diversity are generally not. The lack of uniformity in data models from one repository to another, and in the richness and availability of metadata descriptions, makes integration and analysis of these data a manual, time-consuming task with no scalability. Here we explore a set of resource-oriented Web design patterns for data discovery, accessibility, transformation, and integration that can be implemented by any general- or special-purpose repository as a means to assist users in finding and reusing their data holdings. We show that by using off-the-shelf technologies, interoperability can be achieved even to the level of an individual spreadsheet cell. We note that the behaviors of this architecture compare favorably to the desiderata defined by the FAIR Data Principles, and can therefore represent an exemplar implementation of those principles. The proposed interoperability design patterns may be used to improve discovery and integration of both new and legacy data, maximizing the utility of all scholarly outputs.

scholarly journals Interoperability and FAIRness through a novel combination of Web technologies

2017 ◽  
Author(s):  
Mark D Wilkinson ◽  
Ruben Verborgh ◽  
Luiz Olavo Bonino da Silva Santos ◽  
Tim Clark ◽  
Morris A Swertz ◽  
...  
Keyword(s):  
Design Patterns ◽  
Web Design ◽  
General Purpose ◽  
Data Types ◽  
Web Technologies ◽  
Clinical Observations ◽  
Pathway Data ◽  
Highly Sensitive ◽  
Legacy Data ◽  
Different Levels

Data in the life sciences are extremely diverse and are stored in a broad spectrum of repositories ranging from those designed for particular data types (such as KEGG for pathway data or UniProt for protein data) to those that are general-purpose (such as FigShare, Zenodo, Dataverse or EUDAT). These data have widely different levels of sensitivity and security considerations. For example, clinical observations about genetic mutations in patients are highly sensitive, while observations of species diversity are generally not. The lack of uniformity in data models from one repository to another, and in the richness and availability of metadata descriptions, makes integration and analysis of these data a manual, time-consuming task with no scalability. Here we explore a set of resource-oriented Web design patterns for data discovery, accessibility, transformation, and integration that can be implemented by any general- or special-purpose repository as a means to assist users in finding and reusing their data holdings. We show that by using off-the-shelf technologies, interoperability can be achieved atthe level of an individual spreadsheet cell. We note that the behaviours of this architecture compare favourably to the desiderata defined by the FAIR Data Principles, and can therefore represent an exemplar implementation of those principles. The proposed interoperability design patterns may be used to improve discovery and integration of both new and legacy data, maximizing the utility of all scholarly outputs.

scholarly journals Interoperability and FAIRness through a novel combination of Web technologies

2017 ◽  
Author(s):  
Mark D Wilkinson ◽  
Ruben Verborgh ◽  
Luiz Olavo Bonino da Silva Santos ◽  
Tim Clark ◽  
Morris A Swertz ◽  
...  
Keyword(s):  
Design Patterns ◽  
Web Design ◽  
General Purpose ◽  
Data Types ◽  
Web Technologies ◽  
Clinical Observations ◽  
Pathway Data ◽  
Highly Sensitive ◽  
Legacy Data ◽  
Different Levels

Data in the life sciences are extremely diverse and are stored in a broad spectrum of repositories ranging from those designed for particular data types (such as KEGG for pathway data or UniProt for protein data) to those that are general-purpose (such as FigShare, Zenodo, Dataverse or EUDAT). These data have widely different levels of sensitivity and security considerations. For example, clinical observations about genetic mutations in patients are highly sensitive, while observations of species diversity are generally not. The lack of uniformity in data models from one repository to another, and in the richness and availability of metadata descriptions, makes integration and analysis of these data a manual, time-consuming task with no scalability. Here we explore a set of resource-oriented Web design patterns for data discovery, accessibility, transformation, and integration that can be implemented by any general- or special-purpose repository as a means to assist users in finding and reusing their data holdings. We show that by using off-the-shelf technologies, interoperability can be achieved atthe level of an individual spreadsheet cell. We note that the behaviours of this architecture compare favourably to the desiderata defined by the FAIR Data Principles, and can therefore represent an exemplar implementation of those principles. The proposed interoperability design patterns may be used to improve discovery and integration of both new and legacy data, maximizing the utility of all scholarly outputs.

Effects of age and maternal reactivity on the stress response of the pituitary-adrenocortical axis and the sympathetic nervous system in neonatal pigs

1999 ◽  
Vol 68 (3) ◽  
pp. 519-526 ◽  
Author(s):  
E. Kanitz ◽  
W. Otten ◽  
G. Nürnberg ◽  
K. P. Brüssow
Keyword(s):  
Stress Reactivity ◽  
Acth Stimulation Test ◽  
Acth Stimulation ◽  
Acth Challenge ◽  
Neonatal Pigs ◽  
Age Related ◽  
Highly Sensitive ◽  
Function Test ◽  
Adrenal Response ◽  
Different Levels

AbstractThe study was conducted to investigate the adreno cortical capacity after injection of ACTH and the sensitivity of the pituitary and the adrenal to immobilization in neonatal pigs at different ages. Furthermore, the endocrine reactivity of the offspring was compared with the stress reactivity of their mothers. Four piglets were selected from each of six different litters and subjected to an immobilization test and an adrenal function test using synthetic ACTH1-24 at the ages of 7, 21 and 35 days; the six sows were also subjected to restraint and an ACTH stimulation test. Plasma β-endorphin, norepinephrine and epinephrine concentrations were measured in blood samples taken 2 min after restraint and cortisol concentrations were measured 60 min after ACTH administration. A highly sensitive adrenal response was demonstrated in both sows and piglets and adrenal reactivity showed also a considerable consistency over time within sows. In neonatal pigs, the cortisol response to ACTH was greatest on day 7 and decreased up to day 35. Plasma epinephrine and norepinephrine levels after the 2-min immobilization were also higher at day 7 compared with the other ages (P < 0·01). Piglets from sows, classified as high reacting according to their cortisol or epinephrine response, also showed significantly higher cortisol levels after ACTH challenge at all ages and significantly higher epinephrine levels after restraint at day 7 than piglets from low reacting sows. The results show an age-related change of pituitary-adrenocortical and sympatho-adrenomedullary responses in neonatal pigs and an absence of a stress hyporesponsive period at all ages studied. The results also indicate different levels of excitability in the offspring depending on the maternal stress reactivity.

scholarly journals Effect of Stretching on Thermal Behaviour of Electro-Conductive Weft-Knitted Composite Fabrics

Polymers ◽  
2022 ◽  
Vol 14 (2) ◽  
pp. 249
Author(s):  
Md. Reazuddin Repon ◽  
Ginta Laureckiene ◽  
Daiva Mikucioniene
Keyword(s):  
Heat Generation ◽  
Research Work ◽  
Sem Images ◽  
Fabric Structure ◽  
Highly Sensitive ◽  
Multifilament Yarns ◽  
Knitted Structure ◽  
Composite Fabrics ◽  
Different Levels ◽  
Conductive Yarn

This experiment presents a study carried out on the electric charge passing textiles for heat production in compression weft-knitted composite fabrics used for medical purposes. The aim was to flourish compression support of knitted structure with integrated highly sensitive metal (silver) coated polyamide multifilament yarns and to evaluate its heat origination attributes after stretching in different levels as well as changes of the temperature during the time. A flat double needle-bed knitting machine was utilized to fabricate the selected specimens together with elastomeric inlay-yarn incorporated into the structure for compression generation and silver coated polyamide yarn laid as ground yarn in a plated structure for heat generation. Six different variants depending on the metal coated yarn amount used and the fabric structure along with two types of the conductive yarn linear density were fabricated for this research work. Scanning electron microscope (SEM) images were preoccupied to show the morphology of conductive yarn and thermal pictures were captured to study the evenness of the heat over the surface of composite fabrics depending on conductive yarn distribution in the pattern repeat. The temperature profile of fabricated composite fabrics and comparison of the heat generation by specimens after stretching in different levels was studied.

Examining Design Pattern Strategies as a Means to Achieve Social Presence in the Online Classroom

2015 ◽  
pp. 22-49
Author(s):  
Araminta Matthews ◽  
Robert M. Kitchin Jr.
Keyword(s):  
Social Interaction ◽  
Social Presence ◽  
Design Pattern ◽  
Design Patterns ◽  
Course Design ◽  
Online Courses ◽  
Web Design ◽  
Online Course ◽  
Design Learning ◽  
Potential Benefits

Design patterns have received much attention across multiple design domains where social interaction is a central goal because they have great potential for capturing and sharing design knowledge. Design patterns, design pattern language, and design pattern libraries demonstrate potential benefits to novice and expert online course designers. Trends affecting the growth of online courses and resultant pitfalls negatively affecting students and instructors indicate the need for social presence design. A literature review addresses the importance of social interaction, differentiated design, learning-oriented social networking, and Web design structures in an effort to assuage the experience of isolation reported by the majority of online students. The authors argue that design patterns are a method of overcoming many of these apparent obstacles to quality online course design and learning engagement. Additionally, they present example design patterns to solve specific social interacting problems.

Best Practices of News and Media Web Design

2018 ◽  
Vol 5 (4) ◽  
pp. 43-60 ◽  
Author(s):  
Sonya Zhang ◽  
Samuel Lee ◽  
Karen Hovsepian ◽  
Hannah Morgia ◽  
Kelli Lawrence ◽  
...  
Keyword(s):  
Design Patterns ◽  
Web Design ◽  
Online News ◽  
Online Newspapers ◽  
Four Dimensions ◽  
Business News ◽  
Tv News ◽  
Social Sharing ◽  
Sports News ◽  
Content Design

As more print media move to online, news and media websites have evolved with increasing complexity in content, design, and monetization strategies. In this article, the authors examined and reported the web design patterns of 150 leading news and media websites in six different categories: TV news, online newspapers, online magazines, and technology news, sports news, and business news, using 28 analytics metrics in four dimensions: content structure, multimedia, social sharing, and advertising placements.

scholarly journals Complexes of Glycolic Acid with Nitrogen Isolated in Argon Matrices. II. Vibrational Overtone Excitations

Molecules ◽  
2019 ◽  
Vol 24 (18) ◽  
pp. 3245 ◽  
Author(s):  
Iwona Kosendiak ◽  
Jussi M.E. Ahokas ◽  
Justyna Krupa ◽  
Jan Lundell ◽  
Maria Wierzejewska
Keyword(s):  
Glycolic Acid ◽  
Structural Changes ◽  
Near Infrared ◽  
Theoretical Calculations ◽  
Vibrational Overtone ◽  
Highly Sensitive ◽  
The Matrix ◽  
Argon Matrices ◽  
Site Selective ◽  
Different Levels

Structural changes of glycolic acid (GA) complex with nitrogen induced by selective overtone excitation of the νOH mode were followed in argon matrices using FTIR spectroscopy. For the most stable SSC1 complex present in different trapping sites directly upon deposition site, selective changes in the νOH region were achieved upon near-infrared irradiation. Simultaneously, new conformers of the GA…N2 complex were formed, giving rise to several sets of bands in the νOH and νC=O regions of the spectra. Both position and intensity of new absorptions appeared to be highly sensitive on the wavelength of radiation used, as well as on the annealing of the matrix. Based on theoretical calculations at different levels of theory, an assignment of the observed bands is proposed and discussed.

scholarly journals Accelerated FDPS: Algorithms to use accelerators with FDPS

2020 ◽  
Vol 72 (1) ◽  
Author(s):  
Masaki Iwasawa ◽  
Daisuke Namekata ◽  
Keigo Nitadori ◽  
Kentaro Nomura ◽  
Long Wang ◽  
...  
Keyword(s):  
Graphics Processing Units ◽  
High Performance ◽  
General Purpose ◽  
Performance Model ◽  
Performance Tuning ◽  
Data Types ◽  
Interaction Function ◽  
Current Implementation ◽  
And Performance ◽  
Graphics Processing

Abstract We describe algorithms implemented in FDPS (Framework for Developing Particle Simulators) to make efficient use of accelerator hardware such as GPGPUs (general-purpose computing on graphics processing units). We have developed FDPS to make it possible for researchers to develop their own high-performance parallel particle-based simulation programs without spending large amounts of time on parallelization and performance tuning. FDPS provides a high-performance implementation of parallel algorithms for particle-based simulations in a “generic” form, so that researchers can define their own particle data structure and interparticle interaction functions. FDPS compiled with user-supplied data types and interaction functions provides all the necessary functions for parallelization, and researchers can thus write their programs as though they are writing simple non-parallel code. It has previously been possible to use accelerators with FDPS by writing an interaction function that uses the accelerator. However, the efficiency was limited by the latency and bandwidth of communication between the CPU and the accelerator, and also by the mismatch between the available degree of parallelism of the interaction function and that of the hardware parallelism. We have modified the interface of the user-provided interaction functions so that accelerators are more efficiently used. We also implemented new techniques which reduce the amount of work on the CPU side and the amount of communication between CPU and accelerators. We have measured the performance of N-body simulations on a system with an NVIDIA Volta GPGPU using FDPS and the achieved performance is around 27% of the theoretical peak limit. We have constructed a detailed performance model, and found that the current implementation can achieve good performance on systems with much smaller memory and communication bandwidth. Thus, our implementation will be applicable to future generations of accelerator system.

Sign in / Sign up

Export Citation Format

Share Document