Search results for "13 C"

showing 10 items of 131 documents

Mixotrophy in Pyroleae (Ericaceae) from Estonian boreal forests does not vary with light or tissue age

2017

SPE IPM UB; International audience; In temperate forests, some green plants, namely pyroloids (Pyroleae, Ericaceae) and some orchids, independently evolved a mode of nutrition mixing photosynthates and carbon gained from their mycorrhizal fungi (mixotrophy). Fungal carbon is more enriched in 13C than photosynthates, allowing estimation of the proportion of carbon acquired heterotrophically from fungi in plant biomass. Based on 13C enrichment, mixotrophic orchids have previously been shown to increase shoot autotrophy level over the growth season and with environmental light availability. But little is known about the plasticity of use of photosynthetic versus fungal carbon in pyroloids. Met…

Estonia0106 biological sciencesLightChimaphila umbellata[SDV]Life Sciences [q-bio]stable isotopesPlant Science010603 evolutionary biology01 natural sciencesChimaphilamycoheterotrophymixotrophyN contentMycorrhizaeorchidsTaigaBotany[SDV.BV]Life Sciences [q-bio]/Vegetal BiologyAutotrophPhotosynthesisPyrola rotundifoliaPyrolaPhylogenyAutotrophic ProcessesbiologyEcologyMoneses13 COriginal ArticlesOrthilia15. Life on landbiology.organism_classificationBiological EvolutionOrthiliaPyrolaEricaceae[SDE]Environmental SciencesEricaceaeChimaphilaPyrola chlorantharesponse to light010606 plant biology & botany
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Ethical User stories : Industrial study

2022

Publisher Copyright: © 2022 Copyright for this paper by its authors In Port terminals a progressive change is underway in digitalizing traditional systems to SMART systems with the aid of AI. This study follows one of such progressions, the SMARTER project. SMARTER is a sub research and development project of the Sea for Value program of DIMECC company, Finland to create replicable models for digitalization for future terminals which involves the use of AI enabled tools. AI and Autonomous Systems (AS) are the direction that software systems are taking today. But due to ethical challenges involved in the use of AI systems and increased emphasis on ethical practices in the use and design of A…

Ethicspassenger flowPort terminalDigitalizationtekoälyUser Stories113 Computer and information sciencesdigitalizationethicsport terminaluser storiesmatkustajatSMART systemsPassenger FlowmeriliikenneArtificial Intelligenceetiikkakäyttäjäkokemusdigitalisaatio
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Entity Recommendation for Everyday Digital Tasks

2021

| openaire: EC/H2020/826266/EU//CO-ADAPT Recommender systems can support everyday digital tasks by retrieving and recommending useful information contextually. This is becoming increasingly relevant in services and operating systems. Previous research often focuses on specific recommendation tasks with data captured from interactions with an individual application. The quality of recommendations is also often evaluated addressing only computational measures of accuracy, without investigating the usefulness of recommendations in realistic tasks. The aim of this work is to synthesize the research in this area through a novel approach by (1) demonstrating comprehensive digital activity monitor…

ExploitSettore INF/01 - InformaticaINFORMATIONComputer sciencemedia_common.quotation_subjectRelevance feedbackContext (language use)02 engineering and technologyTransparency (human–computer interaction)Recommender system113 Computer and information sciencesData scienceHuman-Computer InteractionTask (computing)user intent modelingRELEVANCE FEEDBACK020204 information systemsSEARCH0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingRelevance (information retrieval)Quality (business)Proactive searchmedia_common
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Automatic image-based identification and biomass estimation of invertebrates

2020

1. Understanding how biological communities respond to environmental changes is a key challenge in ecology and ecosystem management. The apparent decline of insect populations necessitates more biomonitoring but the time-consuming sorting and expert-based identification of taxa pose strong limitations on how many insect samples can be processed. In turn, this affects the scale of efforts to map and monitor invertebrate diversity altogether. Given recent advances in computer vision, we propose to enhance the standard human expert-based identification approach involving manual sorting and identification with an automatic image-based technology. 2. We describe a robot-enabled image-based ident…

FOS: Computer and information sciences0106 biological sciencesclassification (action)Computer Science - Machine Learninghahmontunnistus (tietotekniikka)Computer scienceImage qualityComputer Vision and Pattern Recognition (cs.CV)Computer Science - Computer Vision and Pattern Recognitionclassificationsmodelling (creation related to information)neuroverkot01 natural sciencesConvolutional neural networkcomputer visionMachine Learning (cs.LG)remote sensingAbundance (ecology)Statistics - Machine Learningkonenäköinsectstunnistaminenbiodiversitysystematiikka (biologia)Ecological ModelingSortingselkärangattomatneural networksmuutosjohtaminenautomated pattern recognitionIdentification (information)machine learningkoneoppiminenclassificationEcosystem managementhämähäkitrecognitionmallintaminenneural networks (information technology)Machine Learning (stat.ML)010603 evolutionary biologyspidersidentifiointilajitsystematicsluokituksetEcology Evolution Behavior and Systematicsluokitus (toiminta)tarkkuusbusiness.industry010604 marine biology & hydrobiologyDeep learningPattern recognitiontypes and speciesidentification (recognition)15. Life on land113 Computer and information sciencesecosystems (ecology)invertebratesbiodiversiteettiekosysteemit (ekologia)hyönteisetidentificationprecisionkaukokartoitusArtificial intelligencechange management (leadership)businessScale (map)
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Amidst Uncertainty–or Not? : Decision-Making in Early-Stage Software Startups

2019

It is commonly claimed that the initial stages of any startup business are dominated by continuous, extended uncertainty, in an environment that has even been described as chaotic. Consequently, decisions are made in uncertain circumstances, so making the right decision is crucial to successful business. However, little currently exists in the way of empirical studies into this supposed uncertainty. In this paper, we study decision-making in early-stage software startups by means of a single, in-depth case study. Based on our data, we argue that software startups do not work in a chaotic environment, nor are they characterized by unique uncertainty unlike that experienced by other firms. pe…

FOS: Computer and information sciencesComputer sciencepäätöksentekoeducation02 engineering and technologyentrepreneurshipstartup-yrityksetComputer Science - Software EngineeringSoftwareEmpirical researchohjelmistoala0202 electrical engineering electronic engineering information engineeringcynefin frameworkliiketoimintaympäristöbusiness.industry020207 software engineeringdecision-makingyrittäjyys113 Computer and information sciencesin-depth case studyepävarmuusIndustrial engineeringSoftware Engineering (cs.SE)Work (electrical)020201 artificial intelligence & image processingsoftware startupsStage (hydrology)business
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Algorithms for Anti-Powers in Strings

2018

Abstract A string S [ 1 , n ] is a power (or tandem repeat) of order k and period n / k if it can be decomposed into k consecutive equal-length blocks of letters. Powers and periods are fundamental to string processing, and algorithms for their efficient computation have wide application and are heavily studied. Recently, Fici et al. (Proc. ICALP 2016) defined an anti-power of order k to be a string composed of k pairwise-distinct blocks of the same length ( n / k , called anti-period). Anti-powers are a natural converse to powers, and are objects of combinatorial interest in their own right. In this paper we initiate the algorithmic study of anti-powers. Given a string S, we describe an op…

FOS: Computer and information sciencesDiscrete Mathematics (cs.DM)Formal Languages and Automata Theory (cs.FL)ComputationComputer Science - Formal Languages and Automata Theory0102 computer and information sciencesString processingInformation System01 natural sciencesUpper and lower boundsAnti-powersTheoretical Computer ScienceLemma (logic)ConverseComputer Science - Data Structures and AlgorithmsData Structures and Algorithms (cs.DS)0101 mathematicsMathematicsCombinatorics on wordSignal processingCombinatorics on wordsComputer Science Applications1707 Computer Vision and Pattern RecognitionAnti-power16. Peace & justice113 Computer and information sciencesSubstringComputer Science Applications010101 applied mathematicsAlgorithmCombinatorics on words010201 computation theory & mathematicsSignal ProcessingAlgorithmAlgorithmsInformation SystemsComputer Science - Discrete Mathematics
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Causal Effect Identification from Multiple Incomplete Data Sources: A General Search-Based Approach

2021

Causal effect identification considers whether an interventional probability distribution can be uniquely determined without parametric assumptions from measured source distributions and structural knowledge on the generating system. While complete graphical criteria and procedures exist for many identification problems, there are still challenging but important extensions that have not been considered in the literature. To tackle these new settings, we present a search algorithm directly over the rules of do-calculus. Due to generality of do-calculus, the search is capable of taking more advanced data-generating mechanisms into account along with an arbitrary type of both observational and…

FOS: Computer and information sciencesStatistics and ProbabilityComputer Science - Machine LearningcausalityComputer Science - Artificial IntelligenceHeuristic (computer science)Computer scienceeducationMachine Learning (stat.ML)transportabilitycomputer.software_genre01 natural sciencesMachine Learning (cs.LG)R-kielimissing dataQA76.75-76.765; QA273-280010104 statistics & probabilitydo-calculuscausality; do-calculus; selection bias; transportability; missing data; case-control design; meta-analysisStatistics - Machine LearningSearch algorithmselection bias0101 mathematicsParametric statisticspäättelymeta-analyysicase-control designhakualgoritmit113 Computer and information sciencesMissing datameta-analysisIdentification (information)Artificial Intelligence (cs.AI)Causal inferencekausaliteettiIdentifiabilityProbability distributionData miningStatistics Probability and UncertaintycomputerSoftwareJournal of Statistical Software
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Introducing Traceability in GitHub for Medical Software Development

2021

Assuring traceability from requirements to implementation is a key element when developing safety critical software systems. Traditionally, this traceability is ensured by a waterfall-like process, where phases follow each other, and tracing between different phases can be managed. However, new software development paradigms, such as continuous software engineering and DevOps, which encourage a steady stream of new features, committed by developers in a seemingly uncontrolled fashion in terms of former phasing, challenge this view. In this paper, we introduce our approach that adds traceability capabilities to GitHub, so that the developers can act like they normally do in GitHub context bu…

FOS: Computer and information sciencesTraceabilityComputer scienceProcess (engineering)Context (language use)computer.software_genreregulated softwareGitHubComputer Science - Software EngineeringDocumentationMedical softwarejäljitettävyysSoftware systemDevOpsDevOpsbusiness.industryturvallisuusSoftware developmenttietokoneohjelmatohjelmistot (taiteet)kehittäminen113 Computer and information sciencesSoftware Engineering (cs.SE)ohjelmistosuunnittelutraceabilityvaatimustenhallintabusinessSoftware engineeringohjelmistokehityscomputercontinuous software engineering
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Identifying Causal Effects via Context-specific Independence Relations

2019

Causal effect identification considers whether an interventional probability distribution can be uniquely determined from a passively observed distribution in a given causal structure. If the generating system induces context-specific independence (CSI) relations, the existing identification procedures and criteria based on do-calculus are inherently incomplete. We show that deciding causal effect non-identifiability is NP-hard in the presence of CSIs. Motivated by this, we design a calculus and an automated search procedure for identifying causal effects in the presence of CSIs. The approach is provably sound and it includes standard do-calculus as a special case. With the approach we can …

FOS: Computer and information sciencescontext-specific independence relationsComputer Science - Machine LearningArtificial Intelligence (cs.AI)Computer Science - Artificial Intelligenceeducationkausaliteetticausal effect identification113 Computer and information sciencesMachine Learning (cs.LG)
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What happens when software developers are (un)happy

2017

The growing literature on affect among software developers mostly reports on the linkage between happiness, software quality, and developer productivity. Understanding happiness and unhappiness in all its components -- positive and negative emotions and moods -- is an attractive and important endeavor. Scholars in industrial and organizational psychology have suggested that understanding happiness and unhappiness could lead to cost-effective ways of enhancing working conditions, job performance, and to limiting the occurrence of psychological disorders. Our comprehension of the consequences of (un)happiness among developers is still too shallow, being mainly expressed in terms of developmen…

FOS: Computer and information scienceshuman aspectsohjelmistokehittäjätdeveloper experiencemedia_common.quotation_subjectohjelmistotuotantoCREATIVITYemotion02 engineering and technologySoftware development processComputer Science - Software EngineeringComputer Science - Computers and SocietyComputers and Society (cs.CY)0502 economics and business0202 electrical engineering electronic engineering information engineeringhappinessMETAANALYSISmedia_commonta11305 social sciences020207 software engineeringPERFORMANCECreativity113 Computer and information sciencesSoftware qualitySoftware Engineering (cs.SE)ComprehensionEMOTIONSHardware and ArchitectureJob performanceaffect8. Economic growthMOODtunne-elämäHappinessIndustrial and organizational psychologytyöpsykologiabehavioral software engineeringPsychologyonnellisuusSocial psychology050203 business & managementSoftwareInformation SystemsQualitative researchJournal of Systems and Software
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