Search results for "MINT"

showing 10 items of 2181 documents

Eye fluke infection and lens size reduction in fish: a quantitative analysis.

2008

Parasites have a variety of harmful effects on their hosts, some of which may be overlapping or complementary and thus easily overlooked but which are still important for the overall severity of infection. We investigated the effect of Diplostomum sp. eye fluke infection on the size of the eye lens in a range of wild and farmed fish species and those exposed to controlled parasite infection. We found that asymmetry in intensity of infection between the right and left lens of an individual fish affected lens size such that the lens with the higher intensity of infection was smaller. Interestingly, however, this was observed only in 3 of the 10 species studied (whitefish, smelt and sea trout)…

Eye DiseasesFish farmingHelminthiasisFisheriesZoologyTrematode InfectionsAquatic ScienceBiologyFish DiseasesfoodCoregonus lavaretusmedicineParasite hostingAnimalsEcology Evolution Behavior and SystematicsLensesfood.dishEcologyFishesmedicine.diseasebiology.organism_classificationmedicine.anatomical_structureLens (anatomy)Fish <Actinopterygii>TrematodaTrematodaSmeltDiseases of aquatic organisms
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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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Helminth Microbiota Profiling Using Bacterial 16S rRNA Gene Amplicon Sequencing: From Sampling to Sequence Data Mining

2021

Symbiont microbial communities play important roles in animal biology and are thus considered integral components of metazoan organisms, including parasitic worms (helminths). Nevertheless, the study of helminth microbiomes has thus far been largely overlooked, and symbiotic relationships between helminths and their microbiomes have been only investigated in selected parasitic worms. Over the past decade, advances in next-generation sequencing technologies, coupled with their increased affordability, have spurred investigations of helminth-associated microbial communities aiming at enhancing current understanding of their fundamental biology and physiology, as well as of host-microbe intera…

FOS: Computer and information sciencesBioinformaticsComputational biologyBiologyDNA sequencingSymbiosisHelminthsRNA Ribosomal 16Sparasitic diseasesHelminthAnimalsData MiningHelminthsMicrobiomeGeneBacterial 16S rRNA geneIndirect life cycleHigh-throughput sequencingMicrobiotaHigh-Throughput Nucleotide SequencingGenes rRNASchistosoma mansoniAmplicon sequencingHuman genomeSample collectionWorm-associated microbiome
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Mislabel Detection of Finnish Publication Ranks

2019

The paper proposes to analyze a data set of Finnish ranks of academic publication channels with Extreme Learning Machine (ELM). The purpose is to introduce and test recently proposed ELM-based mislabel detection approach with a rich set of features characterizing a publication channel. We will compare the architecture, accuracy, and, especially, the set of detected mislabels of the ELM-based approach to the corresponding reference results on the reference paper.

FOS: Computer and information sciencesComputer Science - Machine LearningComputer sciencerankinglistatMachine Learning (stat.ML)computer.software_genreMachine Learning (cs.LG)Set (abstract data type)Statistics - Machine LearningDigital Libraries (cs.DL)julkaisukanavatvirheanalyysimislabel detectionExtreme learning machineExtreme Learning Machine (ELM)publication channelsComputer Science - Digital LibrariesData setkoneoppiminendataData miningrankingsarviointicomputertieteellinen julkaisutoimintaCommunication channel
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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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Software startup education: gamifying growth hacking

2021

Startups seek to create highly scalable business models. For startups, growth is thus vital. Growth hacking is a marketing strategy advocated by various startup practitioner experts. It focuses on using low cost practices while utilizing existing platforms in creative ways to gain more users for the service. Though topics related to growth hacking such as marketing on a general level have been extensively studied in the past, growth hacking as a practitioner-born topic has not seen much interest among the academia. To both spark interest in growth hacking, and to facilitate teaching growth hacking in the academia, we present two board games intended to serve as an engaging introduction to g…

FOS: Computer and information sciencesService (systems architecture)Knowledge managementgamifyingComputingMilieux_LEGALASPECTSOFCOMPUTINGBusiness modelstartup-yrityksetComputer Science - Computers and SocietypelillistäminenSoftwareohjelmistoalaComputers and Society (cs.CY)digitaalinen markkinointiHackercomputer.programming_languagemarkkinoinnin suunnittelueducationyrityksen perustaminenbusiness.industrysoftwarestartup gamificationComputingMilieux_PERSONALCOMPUTINGstartup educationstartupMarketing strategysoftware startupSPARK (programming language)koulutusGeneral levelmarkkinointikasvuyrityksetliiketoimintaScalabilitygrowth hackingbusinesscomputerhacking
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Time for AI (Ethics) maturity model is now

2021

Publisher Copyright: Copyright © 2021 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0). There appears to be a common agreement that ethical concerns are of high importance when it comes to systems equipped with some sort of Artificial Intelligence (AI). Demands for ethical AI are declared from all directions. As a response, in recent years, public bodies, governments, and universities have rushed in to provide a set of principles to be considered when AI based systems are designed and used. We have learned, however, that high-level principles do not turn easily into actionable advice for practitioners. Hence, also companie…

FOS: Computer and information sciencesjärjestelmäsuunnitteluComputer Science - Computers and SocietytoimintaohjeetComputingMethodologies_PATTERNRECOGNITIONComputers and Society (cs.CY)tekoälyetiikkaeettisyysohjelmistokehitys113 Computer and information sciencesGeneralLiterature_MISCELLANEOUS
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Business Model Canvas Should Pay More Attention to the Software Startup Team

2020

Business Model Canvas (BMC) is a tool widely used to describe startup business models. Despite the various business aspects described, BMC pays a little emphasis on team- related factors. The importance of team-related factors in software development has been acknowledged widely in literature. While not as extensively studied, the importance of teams in software startups is also known in both literature and among practitioners. In this paper, we propose potential changes to BMC to have the tool better reflect the importance of the team, especially in a software startup environment. Based on a literature review, we identify various components related to the team, which we then further suppor…

FOS: Computer and information sciencesliiketoimintamallitEmpirical databusiness model canvasComputer science02 engineering and technologyBusiness modelstartup-yrityksettiimitComputer Science - Software EngineeringSoftware0502 economics and business0202 electrical engineering electronic engineering information engineeringmenestystekijätInformáticabusiness.industry05 social sciencessuccess factorSoftware development020207 software engineeringBusiness Model CanvastiimityöteamSoftware Engineering (cs.SE)software startupEngineering managementohjelmistoliiketoimintabusinessohjelmistokehitys050203 business & management
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Patterns of Sociotechnical Design Preferences of Chatbots for Intergenerational Collaborative Innovation: A Q Methodology Study

2022

Chatbot technology is increasingly emerging as a virtual assistant. Chatbots could allow individuals and organizations to accomplish objectives that are currently not fully optimized for collaboration across an intergenerational context. This paper explores the preferences of chatbots as a companion in intergenerational innovation. The Q methodology was used to investigate different types of collaborators and determine how different choices occur between collaborators that merge the problem and solution domains of chatbots’ design within intergenerational settings. The study’s findings reveal that various chatbot design priorities are more diverse among younger adults than senior adults. Ad…

FOS: Computer and information sciencesvuorovaikutusSocial PsychologyArticle SubjectikäryhmätComputer Science - Human-Computer InteractionGeneral Social SciencesvirtuaalisuussukupolvettyöpaikatyhteistyöviestintätekniikkaHuman-Computer Interaction (cs.HC)chattibotitQ-menetelmäHuman-Computer InteractionsuunnitteluinnovaatiotoimintaH.5.3Human Behavior and Emerging Technologies
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"Yhteiskunta olemme me jokainen" : Facebookin ad hoc -ryhmät kansalaisvaikuttamisen väylinä

2016

Sosiaalisen median aikakausi on muovannut aktiivisista internetin käyttäjistä viidennen valtiomahdin. Sen toimintavalmiudet perinteisten vallanpitäjien tarkkailuun ja kyseenalaistamiseen ovat nousseet odottamattomiin mittoihin, sillä verkon mahdollistama vapautuminen ajan ja paikan rajoitteista on saanut ihmiset kokoamaan voimansa verkkoyhteisöissä. Näistä kansan yhteenliittymistä on tullut yhteiskunnallisiin asioihin kantaaottava koneisto, jonka toimintaan on syytä pureutua tarkemmin. Pro gradu -työni tarkastelee Facebookissa toimivia tiettyä tarkoitusta varten perustettuja ad hoc ryhmiä ja sitä, millaisia mahdollisuuksia niillä on toimia kansalaisvaikuttamisen väylinä. Lähestyin aihetta s…

Facebookvaikuttaminensosiaalinen mediaviides valtiomahtikansalaistoiminta
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