Search results for "Mine"

showing 10 items of 20410 documents

Self-assembled multivalent (SAMul) ligand systems with enhanced stability in the presence of human serum

2019

Self-assembled cationic micelles are an attractive platform for binding biologically-relevant polyanions such as heparin. This has potential applications in coagulation control, where a synthetic heparin rescue agent could be a useful replacement for protamine, which is in current clinical use. However, micelles can have low stability in human serum and unacceptable toxicity profiles. This paper reports the optimi- sation of self-assembled multivalent (SAMul) arrays of amphiphilic ligands to bind heparin in competitive conditions. Specifically, modification of the hydrophobic unit kinetically stabilises the self-assembled nanostructures, preventing loss of binding ability in the presence of…

02 engineering and technologyheparinLigands01 natural sciencesMicelleGeneral Materials ScienceMicellesnanomaterialsMolecular StructurenanotechnologybiologyChemistrybiomaterialself-assemblyHeparinsimulation021001 nanoscience & nanotechnologyCholesterolhydrolysisThermodynamics0210 nano-technologyHydrophobic and Hydrophilic Interactionsbiomaterialsmedicine.drugBiocompatibilityCell Survivalmicellesexperimental characterizationserum albuminBiomedical EngineeringSerum albuminself-assembly; nanotechnology; biomaterials; simulation; experimental characterization010402 general chemistrySurface-Active Agentsthermodynamicsbiocompatibilitytoxicity testingAmphiphilemedicineHumansMTT assaycoagulationhydrophobicityHeparinLigandligandscholesteroltoxicitybinding capacityProtaminemolecular dynamicsNanostructures0104 chemical sciencesKineticsblood serumbiology.proteinBiophysicshuman cell linesanions
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Automatic Profiling of Open-Ended Survey Data on Medical Workplace Teaching

2019

On-the-job medical training is known to be challenging due to the fast-paced environment and strong vocational profile. It relies on on-site supervisors, mainly doctors and nurses with long practical experience, who coach and teach their less experienced colleagues, such as residents and healthcare students. These supervisors receive pedagogical training to ensure that their guidance and teaching skills are constantly improved. The aim of such training is to develop participants’ patient, collegiate and student guidance skills in a multiprofessional environment, and to expand their understanding of guidance as part of their work as supervisors of healthcare professionals. In this paper, we …

020205 medical informaticsFinnish natural language processing02 engineering and technologyEducationterveysala0502 economics and businessHealth caretyössäoppiminen0202 electrical engineering electronic engineering information engineeringComputingMilieux_COMPUTERSANDEDUCATIONProfiling (information science)ta516ammattitaitota316ta113Medical educationHealth professionalsComputingMilieux_THECOMPUTINGPROFESSIONlcsh:T58.5-58.64business.industrylcsh:Information technologytekstinlouhintahealthcare vocational training guidance interaction Finnish natural language processing05 social sciencesGeneral Engineeringhealthcare vocational trainingTeaching skillsVocational educationMedical trainingSurvey data collectionguidance interactiontyöpaikkaohjaajattiedonlouhintabusinessPsychologylcsh:L050203 business & managementNatural languagesurvey-tutkimuslcsh:EducationInternational Journal of Emerging Technologies in Learning (iJET)
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Using Recorded Audio Feedback in Cross-Cultural e-Education Environments to Enhance Assessment Practices in a Higher Education

2018

Providing feedback to learners on their writing assignments is perhaps one of the most important and time-consuming tasks that a supervisor performs. In e-Education environments, giving feedback becomes more challenging because there are often no possibilities for face-to-face discussions with learners. Typically, a supervisor provides comments to learners in written form via email; however, the use of recorded audio feedback (RAF) in e-Education environments has become a viable alternative. The purpose of this case study was to examine learners’ perceptions of RAF and written feedback for their assignments at the University of Jyväskylä (Finland) and at Keio University SFC (Japan). Formati…

020205 medical informaticsHigher educationoppiminenProcess (engineering)cross-cultural higher educationBest practicesuullinen palaute02 engineering and technologyFormative assessment0202 electrical engineering electronic engineering information engineeringMathematics educationCross-culturalta516Hofstede's cultural dimensions theorycultural dimensionsta113e-Education environmentsSupervisorbusiness.industryrecorded audio feedbackGeneral Arts and Humanities05 social sciencespalaute050301 educationäänitiedostotverkko-oppiminenta5141Audio feedbackbusinessPsychology0503 educationformative feedback
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Barriers and facilitators of older people's mHealth usage: a qualitative review of older people's views

2018

The aim of this qualitative evidence synthesis is to identify and assess existing\ud evidence on barriers to and facilitators of older people’s usage of mHealth. Existing\ud literature identified many factors that affect people’s experiences and perceptions of\ud mHealth, which are in turn influenced by their personal circumstances and biography.\ud The following themes were identified using the thematic synthesis approach: (a)\ud perception of usefulness, (b) user requirements, (c) self-efficacy, (d) sense of self and\ud control, (e) privacy and confidentiality, and (f) cost. MHealth devices and services are\ud complex interventions that have to be integrated into an older person’s life in…

020205 medical informaticsSocial Psychologymedia_common.quotation_subjectApplied psychologyPsychology of self02 engineering and technologyHMhyväksyminenAffect (psychology)User requirements documentPanacea (medicine)older people03 medical and health sciences0302 clinical medicinePromotion (rank)barriers and facilitatorsuser perspectivesRA0421qualitative evidence synthesisPerceptiontechnology acceptance0202 electrical engineering electronic engineering information engineeringConfidentiality030212 general & internal medicinemHealthmedia_commonCommunicationHuman-Computer InteractionmHealthteknologiakäyttäjäkokemusPsychologyikääntyneet
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Specifications for carbonate content quantification in recent marine sediments using Rock-Eval pyrolysis

2019

11 pages; International audience; The amount of CaCO3 in sediments and/or sedimentary rocks is usually measured by calcimetry while the nature of the carbonates is determined by X-ray diffraction. Recently, a carbonate recognition method based on the results of Rock-Eval pyrolysis was proposed in 2014 by Pillot et al. [1]. Rock-Eval pyrolysis is also widely used for the characterization of recent sediments. However, later in 2015 Baudin et al. [2] noticed that some of the characteristics of recent sediments tended to produce different results from those of more classical Rock-Eval analyses, causing bias in interpretations.In this study, the thermal stability of fossil and recent marine carb…

020209 energyGeochemistrySalt (chemistry)Mineralogy[SDU.STU]Sciences of the Universe [physics]/Earth Sciences02 engineering and technologyAnalytical Chemistrychemistry.chemical_compound020401 chemical engineering[SDU.STU.GC]Sciences of the Universe [physics]/Earth Sciences/Geochemistry0202 electrical engineering electronic engineering information engineeringRecent sedimentsAcid attack0204 chemical engineeringChemical decompositionComputingMilieux_MISCELLANEOUSTotal organic carbonchemistry.chemical_classificationCalciteRock-EvalSedimentCarbonates decompositionFuel Technologychemistry13. Climate action[SDU.STU.ST]Sciences of the Universe [physics]/Earth Sciences/StratigraphyCarbonateSedimentary rockRock evalClay mineralsPyrolysisGeologyPyrolysis
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Occurrence of antibiotics and antiretroviral drugs in source-separated urine, groundwater, surface water and wastewater in the peri-urban area of Chu…

2020

Recently, there has been an increased interest in bridging the knowledge gap in the occurrence and fate of pharmaceuticals in African urban water  cycles. In this study, the occurrence of 7 antibiotics and 3 antiretrovirals in source-separated urine, groundwater, wastewater and surface water of the peri-urban area of Chunga in Lusaka, Zambia, was studied. In groundwater, the pharmaceuticals were only sporadically present with 4 antibiotics and 1 antiretroviral detected. The concentration of the antibiotics ranged from below limit of quantification (<LOQ) to 880 ng/L, with sulfamethoxazole having the highest detection frequency of 42.3%. In the surface water, a comparatively high concentrati…

0208 environmental biotechnologyjätevesi02 engineering and technologyUrineManagement Monitoring Policy and LawApplied Microbiology and BiotechnologyantibioticsToxicologygroundwatermedicineEffluentantiretroviralswastewaterWaste Management and DisposalWater Science and Technologypohjavesivesien saastuminenChemistrySulfamethoxazoleantibiootitlääkeaineetContaminationTrimethoprim020801 environmental engineeringpintavesiWastewaterjätevesikuormituspitoisuussource-separated urineSewage treatmentSurface waterantibioottiresistenssimedicine.drugWater SA
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Extreme minimal learning machine: Ridge regression with distance-based basis

2019

The extreme learning machine (ELM) and the minimal learning machine (MLM) are nonlinear and scalable machine learning techniques with a randomly generated basis. Both techniques start with a step in which a matrix of weights for the linear combination of the basis is recovered. In the MLM, the feature mapping in this step corresponds to distance calculations between the training data and a set of reference points, whereas in the ELM, a transformation using a radial or sigmoidal activation function is commonly used. Computation of the model output, for prediction or classification purposes, is straightforward with the ELM after the first step. In the original MLM, one needs to solve an addit…

0209 industrial biotechnologyComputer scienceCognitive Neuroscienceneuraalilaskentaneuroverkot02 engineering and technologyrandomized learning machinesSet (abstract data type)extreme learning machine020901 industrial engineering & automationArtificial Intelligenceextreme minimal learning machine0202 electrical engineering electronic engineering information engineeringExtreme learning machineta113Training setBasis (linear algebra)Model selectionminimal learning machineOverlearningComputer Science ApplicationskoneoppiminenTransformation (function)020201 artificial intelligence & image processingAlgorithmNeurocomputing
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Impact of accounting process characteristics on accounting outsourcing - Comparison of users and non-users of cloud-based accounting information syst…

2019

Article In Press The article of record as published may be found at https://doi.org/10.1016/j.accinf.2019.06.002 Prior literature informs us that a company's decision to outsource a business process depends on process characteristics such as how frequently the process is performed or how specific the assets required by the process are. In this article, we compare the effects of accounting process characteristics on outsourcing decisions across users of traditional and cloud-based accounting information systems (AIS). By focusing on outsourcing of accounting processes among small and medium sized enterprises, we investigate the effect of five business process characteristics (frequency, huma…

0209 industrial biotechnologyInformation Systems and ManagementulkoistaminenProcess (engineering)Business processcloud-based accounting information systemsaccountingsmall and medium-sized enterprisesAccountingCloud computing02 engineering and technologyAsset specificitytransaction costsManagement Information SystemsOutsourcingpilvipalvelut020901 industrial engineering & automationAccounting0502 economics and businessTransaction costkirjanpitobusiness.industrytransaktiokustannukset05 social scienceseconomics050201 accountingkustannuksetVariety (cybernetics)outsourcingAccounting information systembusinesspienet ja keskisuuret yrityksetFinance
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A survey on handling computationally expensive multiobjective optimization problems with evolutionary algorithms

2017

Evolutionary algorithms are widely used for solving multiobjective optimization problems but are often criticized because of a large number of function evaluations needed. Approximations, especially function approximations, also referred to as surrogates or metamodels are commonly used in the literature to reduce the computation time. This paper presents a survey of 45 different recent algorithms proposed in the literature between 2008 and 2016 to handle computationally expensive multiobjective optimization problems. Several algorithms are discussed based on what kind of an approximation such as problem, function or fitness approximation they use. Most emphasis is given to function approxim…

0209 industrial biotechnologyMathematical optimizationComputer scienceComputationEvolutionary algorithmComputational intelligence02 engineering and technologyMulti-objective optimizationTheoretical Computer Science020901 industrial engineering & automation0202 electrical engineering electronic engineering information engineeringmulticriteria optimizationsurrogateresponse surface approximationcomputational costmetamodelFitness approximationpareto optimalitypareto-tehokkuusFunction (mathematics)monitavoiteoptimointiFunction approximationkoneoppiminen020201 artificial intelligence & image processingGeometry and TopologySoftware
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Do Randomized Algorithms Improve the Efficiency of Minimal Learning Machine?

2020

Minimal Learning Machine (MLM) is a recently popularized supervised learning method, which is composed of distance-regression and multilateration steps. The computational complexity of MLM is dominated by the solution of an ordinary least-squares problem. Several different solvers can be applied to the resulting linear problem. In this paper, a thorough comparison of possible and recently proposed, especially randomized, algorithms is carried out for this problem with a representative set of regression datasets. In addition, we compare MLM with shallow and deep feedforward neural network models and study the effects of the number of observations and the number of features with a special dat…

0209 industrial biotechnologyrandom projectionlcsh:Computer engineering. Computer hardwareComputational complexity theoryComputer scienceRandom projectionlcsh:TK7885-789502 engineering and technologyMachine learningcomputer.software_genresupervised learningapproximate algorithmsSet (abstract data type)regressioanalyysi020901 industrial engineering & automationdistance–based regressionalgoritmit0202 electrical engineering electronic engineering information engineeringordinary least–squaresbusiness.industrySupervised learningsingular value decompositionminimal learning machineMultilaterationprojektioRandomized algorithmkoneoppiminenmachine learningScalabilityFeedforward neural network020201 artificial intelligence & image processingArtificial intelligenceapproksimointibusinesscomputerMachine Learning and Knowledge Extraction
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