Search results for "PIM"

showing 10 items of 3280 documents

Role of the Non-Canonical RNAi Pathway in the Antifungal Resistance and Virulence of Mucorales

2021

Mucorales are the causal agents for the lethal disease known as mucormycosis. Mortality rates of mucormycosis can reach up to 90%, due to the mucoralean antifungal drug resistance and the lack of effective therapies. A concerning urgency among the medical and scientific community claims to find targets for the development of new treatments. Here, we reviewed different studies describing the role and machinery of a novel non-canonical RNAi pathway (NCRIP) only conserved in Mucorales. Its non-canonical features are the independence of Dicer and Argonaute proteins. Conversely, NCRIP relies on RNA-dependent RNA Polymerases (RdRP) and an atypical ribonuclease III (RNase III). NCRIP regulates the…

AntifungalTransposable element0301 basic medicineMucoralesAntifungal Agentstransposonmedicine.drug_classRNA Stability030106 microbiologyAntifungal drugVirulenceReviewQH426-470mucormycosis03 medical and health sciencesDrug Resistance FungalRNA interferenceFongsmedicineGeneticsbiochemistryRNA MessengerRibonuclease IIIepimutantGenetics (clinical)Genome stabilityGeneticsRdRPR3B2biologyMucormycosisnon-canonical RNAiRNA FungalArgonauteantifungal resistancemedicine.diseasebiology.organism_classificationvirulenceRNA silencing030104 developmental biologyNon canonicalbiology.proteinInfeccióMucoralesRNA Interferencegenome stabilitySignal TransductionDicerGenes
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Collecting and Using Students’ Digital Well-Being Data in Multidisciplinary Teaching

2018

This article examines how students (N=198; aged 13 to 17) experienced the new methods for sensor-based learning in multidisciplinary teaching in lower and upper secondary education that combine the use of new sensor technology and learning from self-produced well-being data. The aim was to explore how students perceived new methods from the point of view of their learning and did the teaching methods provide new information that could promote their own well-being. We also aimed to find out how to collect digital well-being data from a large number of students and how the collected big data set can be utilized to predict school success from the students’ well-being data by using machine lear…

Article SubjectoppiminenComputer scienceTeaching methodhyvinvointiBig dataMachine learningcomputer.software_genrelcsh:Education (General)EducationCorrelation03 medical and health sciences0302 clinical medicineMultidisciplinary approachta516Set (psychology)ta113studentsopiskelijatPoint (typography)business.industry05 social sciences050301 educationdigital well-being datadataMultilayer perceptronWell-beingArtificial intelligencelcsh:L7-991business0503 educationcomputermultidisciplinary teaching030217 neurology & neurosurgeryEducation Research International
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Artificial Intelligence for Cybersecurity: A Systematic Mapping of Literature

2020

Due to the ever-increasing complexities in cybercrimes, there is the need for cybersecurity methods to be more robust and intelligent. This will make defense mechanisms to be capable of making real-time decisions that can effectively respond to sophisticated attacks. To support this, both researchers and practitioners need to be familiar with current methods of ensuring cybersecurity (CyberSec). In particular, the use of artificial intelligence for combating cybercrimes. However, there is lack of summaries on artificial intelligent methods for combating cybercrimes. To address this knowledge gap, this study sampled 131 articles from two main scholarly databases (ACM digital library and IEEE…

Artificial intelligence and cybersecuritycybersecurityGeneral Computer ScienceComputer scienceinformation securitysystematic reviewsprotocols02 engineering and technologyIntrusion detection systemtekoälyComputer securitycomputer.software_genre01 natural sciencesDomain (software engineering)systematic reviewGeneral Materials Sciencekirjallisuuskatsauksettietoturvakyberturvallisuussystemaattiset kirjallisuuskatsauksettietoverkkorikoksetkyberrikollisuusbusiness.industry010401 analytical chemistryGeneral Engineeringartificial intelligence021001 nanoscience & nanotechnology0104 chemical sciencesSupport vector machinekoneoppiminenmachine learningcomputer crimeArtificial intelligencelcsh:Electrical engineering. Electronics. Nuclear engineeringSystematic mappingIntrusion prevention system0210 nano-technologybusinesscomputerlcsh:TK1-9971Qualitative researchIEEE Access
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Recent advances in machine learning for maximal oxygen uptake (VO2 max) prediction : A review

2022

Maximal oxygen uptake (VO2 max) is the maximum amount of oxygen attainable by a person during exercise. VO2 max is used in different domains including sports and medical sciences and is usually measured during an incremental treadmill or cycle ergometer test. The drawback of directly measuring VO2 max using the maximal test is that it is expensive and requires a fixed and controlled protocol. During the last decade, various machine learning models have been developed for VO2 max prediction and numerous studies have attempted to predict VO2 max using data from submaximal and non-exercise tests. This article gives an overview of the machine learning models developed over the past five years (…

Artificial neural networkmallintaminenComputer applications to medicine. Medical informaticsR858-859.7ennusteetneuroverkotkuntotestitPrediction modelsError metricsmittaustekniikkafyysinen kuntokoneoppiminenGraded exercise testsMachine learningmaksimaalinen hapenottoMaximal oxygen uptake (VO2 max)
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Predicting hospital associated disability from imbalanced data using supervised learning.

2019

Hospitalization of elderly patients can lead to serious adverse effects on their functional capability. Identifying the underlying factors leading to such adverse effects is an active area of medical research. The purpose of the current paper is to show the potential of artificial intelligence in the form of machine learning to complement the existing medical research. This is accomplished by studying the outcome of hospitalization of elderly patients as a supervised learning task. A rich set of features characterizing the medical and social situation of elderly patients is leveraged and using confusion matrices, association rule mining, and two different classes of supervised learning algo…

Association rule learningmedicine.medical_treatmentvanhuksetMedicine (miscellaneous)sairaalahoitoOutcome (game theory)Task (project management)03 medical and health sciences0302 clinical medicineArtificial IntelligenceMedicineHumanstoimintarajoitteetDisabled PersonsSet (psychology)Adverse effectFinlandta316030304 developmental biologyAgedta1130303 health sciencesRehabilitationbusiness.industrySupervised learningennusteetta3142medicine.diseaseMedical researchHospitalizationmachine learningkoneoppiminenhospital associated disabilityMedical emergencySupervised Machine Learningtiedonlouhintabusiness030217 neurology & neurosurgeryrandom forestArtificial intelligence in medicine
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PBH assisted search for QCD axion dark matter

2022

The entropy production prior to BBN era is one of ways to prevent QCD axion with the decay constant $F_{a}\in[10^{12}{\rm GeV},10^{16}{\rm GeV}]$ from overclosing the universe when the misalignment angle is $\theta_{\rm i}=\mathcal{O}(1)$. As such, it is necessarily accompanied by an early matter-dominated era (EMD) provided the entropy production is achieved via the decay of a heavy particle. In this work, we consider the possibility of formation of primordial black holes during the EMD era with the assumption of the enhanced primordial scalar perturbation on small scales ($k>10^{4}{\rm Mpc}^{-1}$). In such a scenario, it is expected that PBHs with axion halo accretion develop to ultracomp…

Astrophysics and AstronomyCosmology and Nongalactic Astrophysics (astro-ph.CO)axionsAstrophysics::High Energy Astrophysical PhenomenaFOS: Physical sciencesmustat aukotAstrophysics::Cosmology and Extragalactic Astrophysicshiukkasfysiikkakosmologianeutron starspimeä aineHigh Energy Physics - Phenomenology (hep-ph)neutronitähdetParticle Physics - PhenomenologyHigh Energy Astrophysical Phenomena (astro-ph.HE)astro-ph.HEdark matter experimentsHigh Energy Physics::Phenomenologyprimordial black holesAstronomy and Astrophysicshep-phHigh Energy Physics - Phenomenologyastro-ph.COkvanttiväridynamiikkaHigh Energy Physics::ExperimentAstrophysics - High Energy Astrophysical PhenomenaAstrophysics - Cosmology and Nongalactic Astrophysics
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Electroweak baryogenesis from a dark sector

2017

Adding an extra singlet scalar $S$ to the Higgs sector can provide a barrier at tree level between a false vacuum with restored electroweak symmetry and the true one. This has been demonstrated to readily give a strong phase transition as required for electroweak baryogenesis. We show that with the addition of a fermionic dark matter particle $\chi$ coupling to $S$, a simple UV-complete model can realize successful electroweak baryogenesis. The dark matter gets a CP asymmetry that is transferred to the standard model through a $CP\ portal\ interaction$, which we take to be a coupling of $\chi$ to $\tau$ leptons and an inert Higgs doublet. The CP asymmetry induced in left-handed $\tau$ lepto…

Astrophysics and AstronomyParticle physicsCosmology and Nongalactic Astrophysics (astro-ph.CO)standard model of particle physicsPhysics beyond the Standard ModelSTANDARD MODELFOS: Physical sciences01 natural sciences7. Clean energy114 Physical sciencesdark matterHiggs sectorStandard Modelpimeä aineHigh Energy Physics - Phenomenology (hep-ph)Baryon asymmetry0103 physical sciencesSINGLET010306 general physicsParticle Physics - PhenomenologyPhysicsta114010308 nuclear & particles physicsElectroweak interactionHigh Energy Physics::Phenomenologyhiukkasfysiikan standardimalliRADIATIVE NEUTRINO MASShep-phSphaleronBaryogenesisHigh Energy Physics - Phenomenologyastro-ph.COHiggs bosonPHASE-TRANSITIONHigh Energy Physics::ExperimentMATTERAstrophysics - Cosmology and Nongalactic Astrophysics
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Particle size distributions of currently used pesticides in a rural atmosphere of France

2013

This work presents first data on the particle size distributions of current-used pesticides in the atmosphere. Ambient air samples were collected using a cascade impactor distributed into four size fractions in a rural site of Centre Region (France). Most pesticides were accumulated in the fine (0.1-1 mu m) particle size fraction such as cyprodinil, pendimethalin, fenpropidin, fenpropimorph and spiroxamine. Other pesticides such as acetochlor and metolachlor presented a bimodal distribution with maximum concentrations in the ultrafine (0.03-0.1 mu m) coarse (1-10 mu m) and in the ultrafine fine size ranges, respectively. No pesticides were detected in the size fraction >10 mu m. (C) 2013 El…

Atmospheric ScienceFenpropimorphAtmospheric concentrations010504 meteorology & atmospheric sciencesFraction (chemistry)Size distribution010501 environmental sciencesPesticide01 natural sciencesAtmospherePesticidePendimethalinchemistry.chemical_compoundchemistryEnvironmental chemistryEnvironmental scienceParticle sizeAcetochlor[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environmentMetolachlor0105 earth and related environmental sciencesGeneral Environmental Science
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3 - 4 gadīgu bērnu sadarbības prasmju attīstības veicināšana rotaļās

2021

Darba nosaukums: 3 – 4 gadīgu bērnu sadarbības prasmju attīstības veicināšana rotaļās. Darba autore: Aļona Jansone Pētījuma mērķis: analizēt un pētīt rotaļas ietekmi uz sadarbības prasmju apguvi 3 – 4 gadus veciem bērniem. Pētījuma teorētiskā daļa balstās uz D.Dzinteres (2003, 2007)., I.Stangaines (2007, 2015), Ē.Kalvāna (2018)., D.Goulmena (2001)., K.Hansenas, R.Kaufmanes (2002)., R.Kaņepējas (2003, 2012)., D.Lieģenieces (1995, 1999)., S.A.Milleres (2020)., D.Nīmantes (2018)., G.Svences (1999) atziņām. Teorētiskajā daļā tika analizēti jautājumi par sadarbības procesu un sadarbības prasmēm un to iezīmēm, to attīstīšanas nozīmību un metodēm pirmsskolā. Rotaļas veidiem un likumsakarībām, rota…

Attīstības veicināšana rotaļāsPirmsskolas pedagoģijaSadarbībaSadarbības prasmes3-4 gadīgie pimsskolas vecuma bērni
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Dysleksia : lasten lukemaan oppimisen tukeminen musiikin keinoin

2008

BakkermusiikkidysleksiaAudilexaivopuoliskojen lateraalisuusteorialukemaan oppiminen
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