The often reported reproducibility crisis in the biomedical sciences also applies to enzymology and biocatalysis, and mainly results from incomplete reporting of reaction conditions. In this Concept article, an infras...
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The often reported reproducibility crisis in the biomedical sciences also applies to enzymology and biocatalysis, and mainly results from incomplete reporting of reaction conditions. In this Concept article, an infrastructure based on EnzymeML is sketched, which enables reporting, exchange, and storage of enzymatic data according to the FAIR data principles. EnzymeML is a novel data exchange format for enzymology and biocatalysis, which facilitates the application of the STRENDA Guidelines and thus makes data on enzyme-catalyzed reactions findable, accessible, interoperable, and reusable. EnzymeML enables the comprehensive documentation of metadata, thus fostering reproducibility and replicability in enzymology and biocatalysis. An EnzymeML application programming interface integrates electronic lab notebooks with modelling platforms and databases on enzymatic reactions, and thus enables the seamless flow of enzymatic data from measurement to modelling to publication, without the need for manual intervention such as reformatting or editing. EnzymeML serves as a valuable tool for the design of biocatalytic experiments and contributes to the vision of a unified research data infrastructure for catalysis research.
Characterizing the lithology, age, and physical-chemical properties of rocks and sediments in the Earth's upper crust is necessary to fully assess energy, water, and mineral resources and to address many fundament...
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Characterizing the lithology, age, and physical-chemical properties of rocks and sediments in the Earth's upper crust is necessary to fully assess energy, water, and mineral resources and to address many fundamental questions. Although a large number of geological maps, regional geological syntheses, and sample-based measurements have been produced, there is no openly available database that integrates rock record-derived data, while also facilitating large-scale, quantitative characterization of the volume, age, and material properties of the upper crust. Here we describe Macrostrat, a relational geospatial database and supporting cyberinfrastructure that is designed to enable quantitative spatial and geochronological analyses of the entire assemblage of surface and subsurface sedimentary, igneous, and metamorphic rocks. Macrostrat contains general, comprehensive summaries of the age and properties of 33,903 lithologically and chronologically defined geological units distributed across 1,474 regions in North and South America, the Caribbean, New Zealand, and the deep sea. Sample-derived data, including fossil occurrences in the Paleobiology Database, more than 180,000 geochemical and outcrop-derived measurements, and more than 2.3 million bedrock geologic map units from over 200 map sources, are linked to specific Macrostrat units and/or lithologies. Macrostrat has generated numerous quantitative results and its infrastructure is used as a data platform in several independently developed mobile applications. It is necessary to expand geographic coverage and to refine age models and material properties to arrive at a more precise characterization of the upper crust globally and test fundamental hypotheses about the long-term evolution of Earth systems.
Mobile GPUs will need substantial improvements to enable wireless devices to perform the complex graphics-related functions that many manufacturers, developers, and users want.
Mobile GPUs will need substantial improvements to enable wireless devices to perform the complex graphics-related functions that many manufacturers, developers, and users want.
In this paper we describe the internal structures of FDR, the refinement model checker for Hoare's Communicating Sequential Processes (CSP), as well as an application programming interface (API) allowing one to in...
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In this paper we describe the internal structures of FDR, the refinement model checker for Hoare's Communicating Sequential Processes (CSP), as well as an application programming interface (API) allowing one to interact more closely with, and have fine grained control over, FDR's behaviour and data structures. With such information it is possible to create optimised CSP code to perform refinement checks that are more space/time efficient, hence enabling the analysis of more complex and data intensive specifications. This information is very valuable for both CSP users and tools that automatically generate CSP code, such as those related to security analysis generating test-cases as CSP processes. We also present a simple example of using the tool. Finally, we show how one can transform FDR's graph format into a graph notation (e.g., JGraph), hence enabling visualisation of Labelled Transition Systems (LTS) of CSP specifications.
Open banking is an emerging and evolving concept, it brings both opportunities and challenges to banks. Despite its anticipated transformative role in changing the financial services landscape and delivering superior ...
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Open banking is an emerging and evolving concept, it brings both opportunities and challenges to banks. Despite its anticipated transformative role in changing the financial services landscape and delivering superior value to the customers, the concept has been under-examined in the academic community. This study synthesizes existing research on Open Banking and its emerging role. It employs scientometric technique with underlying statistical analysis tools to review the existing literature in this field. The data from 415 documents was scrutinized for this study. We analysed the existing literature to present to research community the following aspects;the research trends, key themes, related keywords and future research directions. The scientometric analysis revealed aspects related to authors' analysis, source analysis, author co-operation network across countries, keyword analysis and topic modeling. This paper contributes to literature by collating and analysing the existing research available in the field of open banking.
The TreeBASE portal is an important and rapidly growing repository of phylogenetic data. The R statistical environment has also become a primary tool for applied phylogenetic analyses across a range of questions, from...
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The TreeBASE portal is an important and rapidly growing repository of phylogenetic data. The R statistical environment has also become a primary tool for applied phylogenetic analyses across a range of questions, from comparative evolution to community ecology to conservation planning. We have developed treebase, an open-source software package (freely available from http://***/web/packages/treebase) for the R programming environment, providing simplified, programmatic and interactive access to phylogenetic data in the TreeBASE repository. We illustrate how this package creates a bridge between the TreeBASE repository and the rapidly growing collection of R packages for phylogenetics that can reduce barriers to discovery and integration across phylogenetic research. We show how the treebase package can be used to facilitate replication of previous studies and testing of methods and hypotheses across a large sample of phylogenies, which may help make such important reproducibility practices more common.
Objectives: Current robotic training approaches lack the criteria for automatically assessing and tracking (over time) technical skills separately from clinical proficiency. We describe the development and validation ...
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Objectives: Current robotic training approaches lack the criteria for automatically assessing and tracking (over time) technical skills separately from clinical proficiency. We describe the development and validation of a novel automated and objective framework for the assessment of training. Methods: We are able to record all system variables (stereo instrument video, hand and instrument motion, buttons and pedal events) from the da Vinci surgical systems using a portable archival system integrated with the robotic surgical system. Data can be collected unsupervised, and the archival system does not change system operations in any way. Our open-ended multicenter protocol is collecting surgical skill benchmarking data from 24 trainees to surgical proficiency, subject only to their continued availability. Two independent experts performed structured (objective structured assessment of technical skills) assessments on longitudinal data from 8 novice and 4 expert surgeons to generate baseline data for training and to validate our computerized statistical analysis methods in identifying the ranges of operational and clinical skill measures. Results: Objective differences in operational and technical skill between known experts and other subjects were quantified. The longitudinal learning curves and statistical analysis for trainee performance measures are reported. Graphic representations of the skills developed for feedback to the trainees are also included. Conclusions: We describe an open-ended longitudinal study and automated motion recognition system capable of objectively differentiating between clinical and technical operational skills in robotic surgery. Our results have demonstrated a convergence of trainee skill parameters toward those derived from expert robotic surgeons during the course of our training protocol. (J Thorac Cardiovasc Surg 2012;143:528-34)
This paper presents a Multimedia Message Transmitter Tool (MMTT) that provides business With the Opportunity to use Bluetooth wireless connectivity delivering the relevant information to relevant people ill the right ...
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This paper presents a Multimedia Message Transmitter Tool (MMTT) that provides business With the Opportunity to use Bluetooth wireless connectivity delivering the relevant information to relevant people ill the right places and time. MMTT empowers any business to market their services or products for unlimited time with a one-time fee. It provides the ability to deliver customised content oil a permission-based manner to all devices in the range of 100 in to I km. MMTT supports user's right of privacy and ensures spam-free delivery of content to interested users. Experimental results show that MMTT provides a viable solution for realising mobile advertising for the advertisers as well Lis the consumers.
The author considers how the Posix reference model remains accurate while other standards are becoming obsolete. The reference model identifies four main interfaces at which standards really matter: application progra...
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The author considers how the Posix reference model remains accurate while other standards are becoming obsolete. The reference model identifies four main interfaces at which standards really matter: application programming interface; user interface; data interface; and communications interface
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