“…QIIME 2 facilitates comprehensive and fully reproducible microbiome data science, improving accessibility to diverse users by adding multiple user interfaces. …”
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“…Recent improvements in data collection volume from planetary and space physics missions have allowed the application of novel data science techniques. The Cassini mission for example collected over 600 gigabytes of scientific data from 2004 to 2017. …”
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“…Rapid advances in technology and data science have the potential to improve the precision of preventive and therapeutic interventions, and enable the right treatment to be recommended, at the right time, to the right person. …”
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“…Cloud Finite Element Analysis technologies enable proactive data collection in a supply chain of, for example the metal forming industry, throughout the life cycle of a product or process, which presents revolutionary opportunities for the development and evaluation of digitally-enhanced lubricants, which requires a coherent research agenda involving the merging of tribological knowledge, manufacturing and data science. In the present study, data obtained from a vast number of experimentally verified finite element simulation results is used for a metal forming process to develop a digitally-enhanced lubricant evaluation approach, by precisely representing the tribological boundary conditions at the workpiece/tooling interface, i.e., complex loading conditions of contact pressures, sliding speeds and temperatures. …”
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“…INTERPRETATION: The discoveries in this study proceed from causal data science analyses of deep clinical and molecular phenotyping data in a community-based cohort of older adults with known lifespan. …”
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“…SIMPLE SUMMARY: Appropriate stocking density is one of the most basic guarantees for experimental animals, and it is also a prerequisite for ensuring the accuracy and credibility of experimental data science. Stocking density, which is related to gut microbiota, affects laboratory mouse health. …”
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“…First, using R version 4.2.1, a data-science based textual analytic approach was applied to the interview data. …”
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“…We also share our vision for the Atlas as a tool in the clinical and research neurosciences, where it may facilitate precise localization of data on the cortex, accurate description of anatomical locations, and modern data science approaches using standardized brain regions.…”
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“…Deep learning is impacting many fields of data science with often spectacular results. However, its application to whole-genome predictions in plant and animal science or in human biology has been rather limited, with mostly underwhelming results. …”
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“…Additionally, a trained model is transferable with high accuracy to other regions where ground truth data is unavailable. The OSM and data science community are invited to build upon our approach to further enrich the volunteered geographic information in an automated manner.…”
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“…These counterintuitive findings require further exploration, including the use of more fine-grained measures of community-level ageism, attention to the role of gentrification in communities, and the development of new measures of structural ageism, drawing on approaches used to study the impacts of structural racism. Data science approaches, including the use of social media data in tandem with mortality data, may reveal how age bias affects older adults. …”
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“…In this study, we track SARS-CoV-2 molecular information in Brazil using real-time bioinformatics and data science strategies to provide a comparative and evolutive panorama of the lineages in the country. …”
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“…METHODS: This cross-sectional study used data from Health and Welfare Data Science Center. Pregnant women who registered their data in the Birth Certificate Application in 2008-2017 were recruited. …”
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“…However, clinicians are often not included in data science teams, which may limit the clinical relevance, explanability, workflow compatibility, and quality improvement of artificial intelligence solutions. …”
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“…Feature selection is one of the most important challenges in machine learning and data science. This process is usually performed in the data preprocessing phase, where the data is transformed to a proper format for further operations by machine learning algorithm. …”
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“…The insights developed by the three winning teams are currently considered by the MoH as potential data science methods relevant for national policies. …”
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“…The current study investigates whether contemporary data science tools, including deep neural network models of vision and crowd-based similarity ratings, can reveal latent structure in human figure drawings beyond that captured by checklists, and whether such structure can aid in understanding aspects of the child’s cognitive, perceptual, and motor competencies. …”
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“…Recent advances have seen great success in the realms of computer vision, natural language processing, and broadly in data science. Many</span></span></span></span></span><span><span><span><span style="color:#222222"><span>&nbsp;of these techniques</span></span></span></span></span>&nbsp;<span><span><span><span style="color:#222222"><span>have already been applied in particle physics, for instance for particle identification, detector monitoring, and</span></span></span></span></span>&nbsp;<span><span><span><span style="color:#222222"><span>the optimization of computer resources. …”
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“…In this regard, we consider two typical data science problems: Image classification (Model: ResNet-50, Dataset: ImageNET) and Object detection (Model: SSD300, Dataset: PASCAL VOC 2012). …”
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