Search results for "Data"

showing 10 items of 12992 documents

Low-cost scalable discretization, prediction and feature selection for complex systems

2019

The introduced data-driven tool allows simultaneous feature selection, model inference, and marked cost and quality gains.

0303 health sciencesMultidisciplinary010504 meteorology & atmospheric sciencesDiscretizationComputer scienceData classificationProbabilistic logicComplex systemSciAdv r-articlesFeature selectioncomputer.software_genre01 natural sciences03 medical and health sciencesRange (mathematics)ScalabilityData miningCluster analysisAlgorithmcomputerResearch ArticlesMathematicsResearch Article030304 developmental biology0105 earth and related environmental sciences
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Unlock ways to share data on peer review

2020

Peer review is the defining feature of scholarly communication. In a 2018 survey of more than 11, 000 researchers, 98% said that they considered peer review important or extremely important for ensuring the quality and integrity of scholarly communication.

0303 health sciencesMultidisciplinarybusiness.industry05 social sciencesdata miningPublic relations050905 science studiesResearch managementBibliometrics ; Scientometrics ; Research Integrity03 medical and health sciencesWork (electrical)Publishingpeer review data miningpeer reviewSociology0509 other social sciencesbusiness030304 developmental biology
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Experimental data of the laboratory investigation for the design of a new filter cartridge for water treatment

2019

Abstract The data provided here refers to the experimental laboratory investigation conducted in the Laboratory of Environmental and Maritime Hydraulics (LIDAM) of University of Salerno, Italy, with the aim of developing a new filtering cartridge for water treatment capable of overcoming the main inconveniences shown by usual commercial cartridges. Specifically, the proposed filtering cartridge is an economic, non-toxic, low-resistance and long-life cartridge, currently under a patent pending status, whose main advantage is to permit to significantly reduce, compared with the commercial cartridges, average head losses induced by the cartridge even for high clogging degrees, and to increase,…

0303 health sciencesMultidisciplinarybusiness.industryHydraulicsInstrumentationExperimental dataFilter (signal processing)lcsh:Computer applications to medicine. Medical informaticslaw.inventionClogging03 medical and health sciencesCartridge0302 clinical medicineEngineeringlawlcsh:R858-859.7Environmental scienceLocal pressureWater treatmentlcsh:Science (General)Process engineeringbusiness030217 neurology & neurosurgerylcsh:Q1-390030304 developmental biologyData in Brief
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FLASH table and canonical mapping of potato varieties

2000

International audience

0303 health sciencesNutrition and Dietetics030309 nutrition & dietetics04 agricultural and veterinary sciences[SDV.IDA] Life Sciences [q-bio]/Food engineering040401 food scienceSensory analysisCanonical analysis03 medical and health sciencesFlash (photography)0404 agricultural biotechnology[SDV.IDA]Life Sciences [q-bio]/Food engineeringTable (database)Statistical analysisArithmeticComputingMilieux_MISCELLANEOUSFood ScienceMathematicsFood Quality and Preference
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Risk tables for discrimination tests

1993

Abstract Duo-trio and triangle test are often used in the food industry for the purpose of declaring two products non-distinguishable. In that situation, it is much more important to control the power of the test rather than the type 1 error risk. This paper makes available by e-mail a SAS ® macro, called BINRISKS, for computing type 1 and type 2 risks for any one-tailed binomial test and for any level of the percentage above chance to be detected. Using this macro, two sets of tables have been compiled. The first table includes for any total number of responses below 50, for any number of correct responses and for three levels of the percentage above chance to be detected, the correspondin…

0303 health sciencesNutrition and Dietetics030309 nutrition & dieteticsBinomial test04 agricultural and veterinary sciences[SDV.IDA] Life Sciences [q-bio]/Food engineering040401 food scienceDiscrimination testingTest (assessment)03 medical and health sciences0404 agricultural biotechnology[SDV.IDA]Life Sciences [q-bio]/Food engineeringStatisticsEconometricsTable (database)MacroComputingMilieux_MISCELLANEOUSFood ScienceTriangle testMathematicsType I and type II errorsFood Quality and Preference
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The MAM-CAP table: A new tool for monitoring panel performances

2014

Abstract Assessor performances in sensory analysis are usually represented by three indicators: repeatability, discrimination and agreement. However, assessors can also differ on the range of their scores, the so-called “scaling effect”. Brockhoff, Schlich, and Skovgaard (2013) proposed the mixed assessor model (MAM) which, as the original assessor model ( Brockhoff & Skovgaard, 1994 ), takes this effect into account, but also allows for the product effect to be tested against a new interaction free of the scaling effect. The present paper proposes a unified system for monitoring assessor and panel performances based on the MAM. In addition to the product effect (tested at panel and individ…

0303 health sciencesNutrition and Dietetics030309 nutrition & dieteticsComputer science[ SDV.AEN ] Life Sciences [q-bio]/Food and Nutritionscalingpanel performance04 agricultural and veterinary sciencesRepeatabilitymixed assessor model040401 food scienceSensory analysisUnified system03 medical and health sciences0404 agricultural biotechnologyScaling effectStatisticsRange (statistics)Table (database)Scaling[SDV.AEN]Life Sciences [q-bio]/Food and NutritionFood Science
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SORT-CC: A procedure for the statistical treatment of free sorting data

2008

International audience; A statistical approach for the analysis of free sorting data is discussed. In a first stage, the sorting data from each subject are arranged into a dataset consisting of indicator variables which reflect the memberships of the stimuli to the groups formed by the subject under consideration. Thereafter, an appropriate standardization is applied on these data and a three way statistical method, namely Common Components and Specific Weights Analysis, is performed on the datasets thus obtained. This makes it possible to take account of the individual differences among the subjects and to depict graphical displays showing the relationships among the stimuli on the one han…

0303 health sciencesNutrition and DieteticsMultivariate analysisBasis (linear algebra)Standardization030309 nutrition & dieteticsComputer scienceTRISorting04 agricultural and veterinary sciences[SDV.IDA] Life Sciences [q-bio]/Food engineeringcomputer.software_genre040401 food scienceSORTING DATA03 medical and health sciences0404 agricultural biotechnologyDummy variableThree way[SDV.IDA]Life Sciences [q-bio]/Food engineeringsortStatistical analysisMULTIVARIALE ANALYSData miningcomputerFood Science
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The Software Crisis of Synthetic Biology

2016

In fifteen years, Synthetic Biology (SB) has moved from proof-of-concept designs to several flagship achievements. Standardisation efforts are still under way, basic engineering concepts such as modularity and orthogonality are still controversial in biology, and making predictions from computer models is still unreliable. A deep characterization in the pattern of re-use of biological blocks in SB has not been attempted to date. We have compared the topological organisation of two different technological networks, one associated to a standard, large-scale software repository and the second provided by the Registry of Standard Biological Parts (RSBP). Our results strongly suggest that softwa…

0303 health sciencesOrthogonality (programming)Computer scienceSystems biologyComplex system02 engineering and technologyBioinformaticsData science03 medical and health sciencesSynthetic biologySoftware crisis020204 information systems0202 electrical engineering electronic engineering information engineeringRegistry of Standard Biological PartsSoftware repository030304 developmental biology
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Hyperion

2019

Indexes are essential in data management systems to increase the speed of data retrievals. Widespread data structures to provide fast and memory-efficient indexes are prefix tries. Implementations like Judy, ART, or HOT optimize their internal alignments for cache and vector unit efficiency. While these measures usually improve the performance substantially, they can have a negative impact on memory efficiency. In this paper we present Hyperion, a trie-based main-memory key-value store achieving extreme space efficiency. In contrast to other data structures, Hyperion does not depend on CPU vector units, but scans the data structure linearly. Combined with a custom memory allocator, Hyperion…

0303 health sciencesRange query (data structures)Computer scienceData structurecomputer.software_genreSearch tree03 medical and health sciencesMemory managementTrieMemory footprintData miningCachecomputer030304 developmental biologyProceedings of the 2019 International Conference on Management of Data
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Main Steps in Image Processing and Quantification: The Analysis Workflow

2019

In the last decades, the variety of programs, algorithms, and strategies that researchers have at their disposal to process and analyze image files has grown extensively. However, these are only pointless tools if not applied with the careful planning required to achieve a succesful image analysis. In order to do so, the analyst must establish a meaningful and effective sequence of orderly operations that is able to (1) overcome all the problems derived from the image manipulation and (2) successfully resolve the question that was originally posed. In this chapter, the authors suggest a set of strategies and present a reflection on the main milestones that compose the image processing workf…

0303 health sciencesReflection (computer programming)Process (engineering)Computer sciencebusiness.industryImage processingcomputer.file_formatVariety (cybernetics)Set (abstract data type)03 medical and health sciences0302 clinical medicineWorkflowImage file formatsSoftware engineeringbusinesscomputer030217 neurology & neurosurgery030304 developmental biology
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