Search results for "Imine"

showing 10 items of 2850 documents

Tutkimuksellisuus luonnontieteissä ja sen yhteys luonnontieteelliseen osaamiseen Suomessa

2018

PISA-tutkimusosaaminenluonnontieteettutkiva oppiminenoppimistulokset
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Social information use by predators : expanding the information ecology of prey defences

2022

Social information use is well documented across the animal kingdom, but how it influences ecological and evolutionary processes is only just beginning to be investigated. Here we evaluate how social transmission may influence species interactions and potentially change or create novel selection pressures by focusing on predator-prey interactions, one of the best studied examples of species coevolution. There is extensive research into how prey can use social information to avoid predators, but little synthesis of how social transmission among predators can influence the outcome of different stages of predation. Here we review evidence that predators use social information during 1) encount…

PUBLIC INFORMATIONpredator-prey interactionsBIRDSTOOL USEFEEDING-BEHAVIORinformation ecologyFORAGING FLOCKSpredator–prey interactionseläinten käyttäytyminensaalistussocial informationMONARCH BUTTERFLIESsosiaalinen oppiminenFOODantipredator defencesTASTE-AVERSION1181 Ecology evolutionary biologyNORWAY RATSCULTURAL TRANSMISSIONpuolustusmekanismit (biologia)Ecology Evolution Behavior and Systematics
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Multi-Functional Nanogels for Tumor Targeting and Redox-Sensitive Drug and siRNA Delivery

2016

(1) Background: A new family of nanosystems able to discern between normal and tumor cells and to release a therapeutic agent in controlled way were synthetized by e-beam irradiation. This technique permits to obtain biocompatible, sterile, carboxyl-functionalized polyvinylpyrrolidone (PVP-co-acrylic acid) nanogels (NGs); (2) Methods: Here, we performed a targeting strategy based on the recognition of over-expressed proteins on tumor cells, like the folate receptor. The selective targeting was demonstrated by co-culture studies and flow cytometry analysis, using folate conjugated NGs. Moreover, nanoparticles were conjugated to a chemotherapeutic drug or to a pro-apoptotic siRNA through a gl…

PVPPharmaceutical ScienceNanogels02 engineering and technologyPharmacology01 natural sciencesAntioxidantsAnalytical Chemistryfolate-targetingPolyethylene GlycolsNanogelchemistry.chemical_compoundMiceRNA interferenceNeoplasmsDrug DiscoveryFluorescence microscopePolyethyleneimineRNA Small InterferingCytotoxicitymedicine.diagnostic_testPovidone021001 nanoscience & nanotechnologyControlled releaseCell biologyChemistry (miscellaneous)Folate receptorMolecular Medicinee-beamGSH-responsive release0210 nano-technologyOxidation-Reduction010402 general chemistrydoxorubicinArticleFlow cytometryFolic AcidCell Line TumormedicineAnimalsHumansPhysical and Theoretical ChemistryParticle SizeOrganic ChemistryGlutathione0104 chemical scienceschemistryPVP; nanogels; e-beam; folate-targeting; doxorubicin; siRNA; GSH-responsive releasesiRNACancer cellNIH 3T3 CellsNanoparticlesSettore CHIM/07 - Fondamenti Chimici Delle TecnologieFolic Acid TransportersHeLa CellsMolecules
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Parents' causal attributions concerning their children's academic achievement

2007

Katja Natale seurasi väitöstutkimuksessaan vanhempien lastensa koulumenestystä koskevien kausaaliattribuutioiden eli syyselitysten muotoutumista lasten siirtyessä esikoulusta kouluun. Hän tutki kuinka tärkeinä vanhemmat pitivät kykyä, yrityksen määrää, tehtävien vaikeustasoa ja lapsen saamaa ohjausta selittämässä lasten onnistumista ja epäonnistumista koulussa. - Koulunsa aloittavien lasten vanhempia voisi neuvoa viestimään lapsilleen, että heillä on kykyjä onnistua haastavissakin koulutehtävissä. Tällainen viesti vaikuttaa positiivisesti lasten koulutaitojen kehitykseen ja minäkuvan muuttumiseen realistisemmaksi, Natale suosittaa.Onnistuminen kyvykkyyttä, epäonnistuminen yrityksen puutetta…

ParentsopintomenestysAcademic Achievementoppiminenkoulusaavutuksetacademic performancelongitudinal studytransition to primary schooloppimistuloksetPrimary Educationvanhempi-lapsisuhdeAttributionLearning Problemsoppimisvaikeudetvanhemmatparents' causal attributionskausaliteettiattribuutioself-concept of math abilityrisk for learning difficultieslapset
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Surrogate-assisted evolutionary biobjective optimization for objectives with non-uniform latencies

2018

We consider multiobjective optimization problems where objective functions have different (or heterogeneous) evaluation times or latencies. This is of great relevance for (computationally) expensive multiobjective optimization as there is no reason to assume that all objective functions should take an equal amount of time to be evaluated (particularly when objectives are evaluated separately). To cope with such problems, we propose a variation of the Kriging-assisted reference vector guided evolutionary algorithm (K-RVEA) called heterogeneous K-RVEA (short HK-RVEA). This algorithm is a merger of two main concepts designed to account for different latencies: A single-objective evolutionary a…

Pareto optimalityMathematical optimizationComputer science0211 other engineering and technologiesEvolutionary algorithm02 engineering and technologyexpensive optimizationMulti-objective optimizationEvolutionary computationSet (abstract data type)optimointi0202 electrical engineering electronic engineering information engineeringmetamodellingRelevance (information retrieval)multiobjective optimizationBayesian optimizationta113021103 operations researchpareto-tehokkuusbayesilainen menetelmäBayesian optimizationmonitavoiteoptimointimachine learningkoneoppiminenheterogeneous objectivesBenchmark (computing)020201 artificial intelligence & image processing
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A Surrogate-assisted Reference Vector Guided Evolutionary Algorithm for Computationally Expensive Many-objective Optimization

2018

We propose a surrogate-assisted reference vector guided evolutionary algorithm for computationally expensive optimization problems with more than three objectives. The proposed algorithm is based on a recently developed evolutionary algorithm for many-objective optimization that relies on a set of adaptive reference vectors for selection. The proposed surrogateassisted evolutionary algorithm uses Kriging to approximate each objective function to reduce the computational cost. In managing the Kriging models, the algorithm focuses on the balance of diversity and convergence by making use of the uncertainty information in the approximated objective values given by the Kriging models, the distr…

Pareto optimalityPareto-tehokkuus0209 industrial biotechnologyMathematical optimizationOptimization problemComputer sciencemodel managementpäätöksentekoEvolutionary algorithmInteractive evolutionary computation02 engineering and technologyEvolutionary computationTheoretical Computer Science020901 industrial engineering & automationKrigingalgoritmit0202 electrical engineering electronic engineering information engineeringvektorit (matematiikka)multiobjective optimizationcomputational costsurrogate-assisted evolutionary algorithmsBayesian optimizationta113Cultural algorithmpareto-tehokkuusbayesilainen menetelmäta111Approximation algorithmImperialist competitive algorithmmonitavoiteoptimointiKrigingkoneoppiminenComputational Theory and Mathematics020201 artificial intelligence & image processingreference vectorsSoftwareIEEE Transactions on Evolutionary Computation
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On Dealing with Uncertainties from Kriging Models in Offline Data-Driven Evolutionary Multiobjective Optimization

2019

Many works on surrogate-assisted evolutionary multiobjective optimization have been devoted to problems where function evaluations are time-consuming (e.g., based on simulations). In many real-life optimization problems, mathematical or simulation models are not always available and, instead, we only have data from experiments, measurements or sensors. In such cases, optimization is to be performed on surrogate models built on the data available. The main challenge there is to fit an accurate surrogate model and to obtain meaningful solutions. We apply Kriging as a surrogate model and utilize corresponding uncertainty information in different ways during the optimization process. We discuss…

Pareto optimalitymallintaminenMathematical optimizationOptimization problemComputer scienceetamodelling02 engineering and technologyMulti-objective optimizationTheoretical Computer ScienceData-drivensymbols.namesakeSurrogate modelMetamodellingKriging020204 information systemsMachine learning0202 electrical engineering electronic engineering information engineeringsurrogateGaussian process/dk/atira/pure/subjectarea/asjc/1700Gaussian processpareto-tehokkuusmonitavoiteoptimointikoneoppiminensymbolsBenchmark (computing)/dk/atira/pure/subjectarea/asjc/2600/2614020201 artificial intelligence & image processingnormaalijakaumaComputer Science(all)
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Multiobjective shape design in a ventilation system with a preference-driven surrogate-assisted evolutionary algorithm

2019

We formulate and solve a real-world shape design optimization problem of an air intake ventilation system in a tractor cabin by using a preference-based surrogate-assisted evolutionary multiobjective optimization algorithm. We are motivated by practical applicability and focus on two main challenges faced by practitioners in industry: 1) meaningful formulation of the optimization problem reflecting the needs of a decision maker and 2) finding a desirable solution based on a decision maker’s preferences when solving a problem with computationally expensive function evaluations. For the first challenge, we describe the procedure of modelling a component in the air intake ventilation system wi…

Pareto optimalitymallintaminenMathematical optimizationOptimization problemProcess (engineering)Computer sciencemedia_common.quotation_subjectmultiple criteria decision makingEvolutionary algorithmoptimal shape designpreference information0102 computer and information sciences02 engineering and technology01 natural sciencesComponent (UML)0202 electrical engineering electronic engineering information engineeringBaseline (configuration management)Function (engineering)Preference (economics)media_commonpareto-tehokkuusilmanvaihtojärjestelmätmetamodelsmonitavoiteoptimointikoneoppiminen010201 computation theory & mathematicsevolutionary multi-objective optimizationcomputational costs020201 artificial intelligence & image processingmuotoProceedings of the Genetic and Evolutionary Computation Conference
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Hyperspectral imaging reveals spectral differences and can distinguish malignant melanoma from pigmented basal cell carcinomas : A pilot study

2021

Pigmented basal cell carcinomas can be difficult to distinguish from melanocytic tumours. Hyperspectral imaging is a non-invasive imaging technique that measures the reflectance spectra of skin in vivo. The aim of this prospective pilot study was to use a convolutional neural network classifier in hyperspectral images for differential diagnosis between pigmented basal cell carcinomas and melanoma. A total of 26 pigmented lesions (10 pigmented basal cell carcinomas, 12 melanomas in situ, 4 invasive melanomas) were imaged with hyperspectral imaging and excised for histopathological diagnosis. For 2-class classifier (melanocytic tumours vs pigmented basal cell carcinomas) using the majority of…

Pathologymedicine.medical_specialtySkin Neoplasms010504 meteorology & atmospheric sciencesneural network3122 Cancers0211 other engineering and technologiesmalignant melanomaPilot Projects02 engineering and technologyneuroverkotDermatologytyvisolusyöpä3121 Internal medicine01 natural sciencesSensitivity and SpecificityLesionihosyöpäDiagnosis Differentialbasal cell carcinomamedicineHumansBasal cell carcinomaBasal cellProspective StudiesMelanoma021101 geological & geomatics engineering0105 earth and related environmental sciencesbusiness.industryMelanomaspektrikuvausHyperspectral imagingdeep learningGeneral MedicineHyperspectral Imagingdiagnostiikkamedicine.disease3126 Surgery anesthesiology intensive care radiologyReflectivityConfidence interval3. Good healthkoneoppiminenCarcinoma Basal CellRL1-8033121 General medicine internal medicine and other clinical medicinemedicine.symptomDifferential diagnosisbusiness
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Evaluation of the potential therapeutic effects of a double-stranded RNA mimic complexed with polycations in an experimental mouse model of endometri…

2015

Objective To assess the therapeutic potential of polyinosine-polycytidylic acid, a double-stranded RNA molecule with selective proapoptotic and antiangiogenic activity, complexed with polyethyleneimine (pIC PEI ) in treating endometriosis. Design A heterologous mouse model of endometriosis was created by injecting human endometrial fragments into the peritoneum. Endometrial fragments were engineered to express the fluorescent protein mCherry as a reporter to monitor status over the course of the 4-week study. Setting University-affiliated infertility center. Animal(s) Ovariectomized and hormone-replaced nude mice (n = 30) injected with fluorescent-labeled human endometrial fragments at 4–6 …

Pathologymedicine.medical_specialtyTime FactorsOvariectomyEndometriosisEndometriosisHeterologousMice NudeAngiogenesis InhibitorsApoptosisEndothelial Growth FactorsBiologyEndometriumPeptides CyclicNeovascularizationEndometriumPeritoneumGenes ReportermedicineAnimalsHumansPolyethyleneimineCell ProliferationNeovascularization PathologicCell growthEstrogen Replacement TherapyObstetrics and Gynecologymedicine.diseaseMolecular biologyDisease Models AnimalLuminescent Proteinsmedicine.anatomical_structurePoly I-CReproductive MedicineApoptosisHeterograftsFemalemedicine.symptommCherryFertility and sterility
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