Search results for "higher-order [Feynman graph]"

showing 10 items of 20 documents

Feasibility of sample size calculation for RNA-seq studies

2017

Sample size calculation is a crucial step in study design but is not yet fully established for RNA sequencing (RNA-seq) analyses. To evaluate feasibility and provide guidance, we evaluated RNA-seq sample size tools identified from a systematic search. The focus was on whether real pilot data would be needed for reliable results and on identifying tools that would perform well in scenarios with different levels of biological heterogeneity and fold changes (FCs) between conditions. We used simulations based on real data for tool evaluation. In all settings, the six evaluated tools provided widely different answers, which were strongly affected by FC. Although all tools failed for small FCs, s…

0301 basic medicineFold (higher-order function)Sequence Analysis RNAComputer scienceHigh-Throughput Nucleotide SequencingRNA-Seqcomputer.software_genre03 medical and health sciences030104 developmental biology0302 clinical medicineResearch DesignSample size determinationSample SizeFeasibility StudiesHumansData miningMolecular BiologycomputerSoftware030217 neurology & neurosurgeryInformation SystemsSystematic searchBriefings in Bioinformatics
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Measuring higher-order cognitive skills with multiple choice questions:potentials and pitfalls of Finnish teacher education entrance

2023

This mixed methods study examines the structure of the multiple-choice exam for student selection in Finnish teacher education. Through qualitative content analysis, we categorized multiple-choice ques-tions into items that assessed lower-and higher-order cognitive processes based on the Revised Bloom's Taxonomy. Exploratory and confirmatory factor analyses yielded four factors that represented lower-and higher-order cognitive processing skills and comprehension of empirical and theoretical items. These were associated with matriculation examination grades, especially with the average grade and the mother tongue grade. When developing future multiple-choice exams for admissions, we recommen…

516 KasvatustieteetTeacher educationpääsykokeetHigher-order processing skillsopiskelijavalinnatopettajankoulutusarviointiMultiple-choice questionsStudent selectionEducationRevised Bloom's taxonomy
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Dynamic accommodation without feedback does not respond to isolated blur cues

2016

Highlights • A new methodology is used to study a potential cue for dynamic accommodation. • We show that human accommodation is not driven correctly by defocus alone. • Accommodation is most efficient using changes in stimulus vergence with feedback.

AdultMaleAccommodationmedicine.medical_specialtygenetic structuresComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONAudiologyStimulus (physiology)Article050105 experimental psychologyPupilDynamic accommodationYoung Adult03 medical and health sciences0302 clinical medicineOpticsVergencemedicineHumans0501 psychology and cognitive sciencesMaltese crossbusiness.industry05 social sciencesHealthy subjectsAccommodation OcularBiofeedback PsychologyRefractive ErrorsSensory SystemsOphthalmologyAberrations of the eyeSpherical aberration030221 ophthalmology & optometryFemalesense organsCuesbusinessPsychologyHigher-order aberrationsAccommodationVision Research
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Review on Higher-Order Neural Units to Monitor Cardiac Arrhythmia Patterns

2017

An electrocardiogram (ECG) is a non-invasive technique that checks for problems with the electrical activity of a patient’s heart. ECG is economical and extremely versatile. Some of its characteristics make it a very useful tool to detect cardiac pathologies. The ECG records a series of characteristic waves called PQRST; however, the QRS complex analysis enables the detection of a type of arrhythmia in an ECG. Technological developments enable the storage of a large amount of data, from which knowledge extraction is impossible without a powerful data processing tool; in particular, an adequate signal processing tool, whose output provides reliable parameters as a basis to make a precise cli…

Cardiac arrhythmiaspattern detectionhigher-order neural unitsrecurrent neural networks
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On n–Fold Blocking Sets

1986

An n-fold blocking set is a set of n-disjoint blocking sets. We shall prove upper and lower bounds for the number of components in an n-fold blocking set in projective and affine spaces.

Discrete mathematicsSet (abstract data type)CombinatoricsQuantitative Biology::BiomoleculesSteiner systemBlocking setFold (higher-order function)Blocking (radio)Projective planeAffine transformationUpper and lower boundsMathematics
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ChemInform Abstract: Lanthanoid Single-Ion Magnets Based on Polyoxometalates with a 5-Fold Symmetry: The Series [LnP5W30O110]12-(Ln3+: Tb, Dy, Ho, Er…

2013

The compounds K12LnP5W30O110 ·nH2O (Ln3+: Tb, Dy, Ho, Er, Tm, and Yb) are prepared from aqueous solutions of K12.5Na1.5 [NaP5W30O110] and LnCl3 (autoclave, 160 °C, 24 h) and characterized by static and dynamic magnetic measurements.

LanthanideAqueous solutionSeries (mathematics)Single ionFold (higher-order function)ChemistryMagnetPhysical chemistryGeneral MedicineSymmetry (physics)AutoclaveChemInform
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Leksinių samplaikų sąrašo tikslinimas: bandymas taikyti Formulex metodą

2017

A number of corpus studies focusing on the description of the use and functions of lexical bundles havebeen conducted recently in order to explore the phraseology of learner language. As with any studiesof lexical bundles, the problem of overlapping or structurally incomplete items poses a particularchallenge. In practice, it is often difficult to align such units with specific discourse functions. The factthat lexical bundles do not constitute neat form-and-meaning mappings results from, among otherreasons, their being grounded in language use rather than language system. In this pilot study weattempt to test a new method called Formulex (Forsyth, 2015a; 2015b) to verify whether an applica…

Lexical choiceLinguistics and LanguageArcheologyLexical densitybusiness.industryComputer sciencecomputer.software_genreFilter (higher-order function)Lexical itemLinguisticsEducationRange (mathematics)SalientPhraseologyArtificial intelligencebusinesscomputerNatural language processingWord (computer architecture)Studies About Languages
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Deterministic Linkage as a Preceding Filter for Other Record Linkage Methods

2015

Deterministic record linkage (RL) is frequently regarded as a rival to more sophisticated strategies like probabilistic RL. We investigate the effect of combining deterministic linkage with other linkage techniques. For this task, we use a simple deterministic linkage strategy as a preceding filter: a data pair is classified as ‘match' if all values of attributes considered agree exactly, otherwise as ‘nonmatch'. This strategy is separately combined with two probabilistic RL methods based on the Fellegi–Sunter model and with two classification tree methods (CART and Bagging). An empirical comparison was conducted on two real data sets. We used four different partitions into training data a…

Linkage (software)education.field_of_studyComputer scienceDecision tree learningPopulationProbabilistic logiccomputer.software_genreFilter (higher-order function)Expectation–maximization algorithmComputer Science (miscellaneous)Data miningeducationcomputerAlgorithmRecord linkageTest dataInternational Journal of Information Technology & Decision Making
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Combinatorial approaches: A new tool to search for highly structured β-hairpin peptides

2002

Here we present a combinatorial approach to evolve a stable β-hairpin fold in a linear peptide. Starting with a de novo -designed linear peptide that shows a β-hairpin structure population of around 30%, we selected four positions to build up a combinatorial library of 20 4 sequences. Deconvolution of the library using circular dichroism reduced such a sequence complexity to 36 defined sequences. Circular dichroism and NMR of these peptides resulted in the identification of two linear 14-aa-long peptides that in plain buffered solutions showed a percentage of β-hairpin structure higher than 70%. Our results show how combinatorial approaches can be used to obtain highly structured peptide s…

Models MolecularProtein FoldingCircular dichroismMagnetic Resonance SpectroscopyFold (higher-order function)Molecular Sequence DataPopulationPeptideComputational biologyBiologyProtein Structure SecondaryPeptide LibraryCombinatorial Chemistry TechniquesAmino Acid Sequenceeducationchemistry.chemical_classificationeducation.field_of_studyMultidisciplinaryCircular DichroismBiological SciencesCombinatorial chemistryTemplatechemistryDrug DesignDeconvolutionPeptidesProceedings of the National Academy of Sciences
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Complete calculation of exclusive heavy vector meson production at next-to-leading order in the dipole picture

2022

Exclusive production of transversely polarized heavy vector mesons in deep inelastic scattering at high energy is calculated at next-to-leading order accuracy in the Color Glass Condensate framework. In addition to the first QCD correction proportional to the strong coupling constant $\alpha_s$, we systematically also include the first relativistic correction proportional to the heavy quark velocity squared $v^2$. When combined with our previously published results for longitudinal vector meson production at next-to-leading order accuracy, these results make phenomenological calculations of heavy vector meson production possible at the order $\mathcal{O}(\alpha_s v^0, \alpha_s^0 v^2)$. When…

Nuclear and High Energy PhysicsNuclear TheoryHigh Energy Physics::PhenomenologyFOS: Physical scienceshiukkasfysiikka114 Physical sciencesNuclear Theory (nucl-th)High Energy Physics - Phenomenologydeep inelastic scattering or small-x physicsHigh Energy Physics - Phenomenology (hep-ph)higher-order perturbative calculationskvanttiväridynamiikkaHigh Energy Physics::Experimentquarkonium
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