Lower-order anxiety sensitivity and intolerance of uncertainty dimensions operate as specific vulnerabilities for social anxiety and depression within a hierarchical model.
Sign Up to like & getrecommendations! Published in 2018 at "Journal of anxiety disorders"
DOI: 10.1016/j.janxdis.2017.08.002
Abstract: Within a hierarchical framework for depressive and anxiety disorders, negative affect (NA) is posited to be indirectly related to social anxiety and depression through cognitive vulnerabilities, including intolerance of uncertainty (IU) and anxiety sensitivity (AS).… read more here.
Keywords: anxiety; lower order; anxiety depression; social anxiety ... See more keywords
Lower order and Baker wandering domains of solutions to differential equations with coefficients of exponential growth
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Mathematical Analysis and Applications"
DOI: 10.1016/j.jmaa.2019.07.007
Abstract: Abstract We investigate transcendental entire solutions of complex differential equations f ″ + A ( z ) f = H ( z ) , where the entire function A ( z ) has a growth… read more here.
Keywords: lower order; wandering domains; growth; order ... See more keywords
Cerebellar contribution to higher and lower order rule learning and cognitive flexibility in mice
Sign Up to like & getrecommendations! Published in 2017 at "Neuroscience"
DOI: 10.1016/j.neuroscience.2016.03.040
Abstract: Cognitive flexibility has traditionally been considered a frontal lobe function. However, converging evidence suggests involvement of a larger brain circuit which includes the cerebellum. Reciprocal pathways connecting the cerebellum to the prefrontal cortex provide a… read more here.
Keywords: rule learning; pathology; flexibility; cognitive flexibility ... See more keywords
Modeling Lower-Order Statistics to Enable Decoy-Free FDR Estimation in Proteomics.
Sign Up to like & getrecommendations! Published in 2023 at "Journal of proteome research"
DOI: 10.1021/acs.jproteome.2c00604
Abstract: One of the chief objectives in mass spectrometry-based peptide identification in proteomics is the statistical validation of top-scoring peptide-spectrum matches (PSMs) in the form of false discovery rate (FDR) estimation. Existing methods construct a null… read more here.
Keywords: fdr estimation; lower order; top scoring; estimation ... See more keywords
Subcortical Facilitation of Behavioral Responses to Threat
Sign Up to like & getrecommendations! Published in 2017 at "Scientific Reports"
DOI: 10.1038/s41598-017-13203-8
Abstract: Behavioral responses to threat are critical to survival. Several cortical and subcortical brain regions respond selectively to threat. However, the relation of these neural responses and their underlying representations to behavior is unclear. We examined… read more here.
Keywords: subcortical facilitation; behavioral responses; responses threat; threat ... See more keywords
What faculty write versus what students see? Perspectives on multiple-choice questions using Bloom’s taxonomy
Sign Up to like & getrecommendations! Published in 2021 at "Medical Teacher"
DOI: 10.1080/0142159x.2021.1879376
Abstract: Abstract Background Using revised Bloom’s taxonomy, some medical educators assume they can write multiple choice questions (MCQs) that specifically assess higher (analyze, apply) versus lower-order (recall) learning. The purpose of this study was to determine… read more here.
Keywords: lower order; bloom taxonomy; bloom; multiple choice ... See more keywords
Some results on constructing two-level block designs with general minimum lower order confounding
Sign Up to like & getrecommendations! Published in 2018 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2017.1337148
Abstract: ABSTRACT Block designs are widely used in experimental situations where the experimental units are heterogeneous. The blocked general minimum lower order confounding (B-GMC) criterion is suitable for selecting optimal block designs when the experimenters have… read more here.
Keywords: block; block designs; general minimum; lower order ... See more keywords
A general minimum lower-order confounding criterion for s-level blocked designs
Sign Up to like & getrecommendations! Published in 2024 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2024.2340598
Abstract: Abstract. Blocked designs are widely used in practical experiments with heterogeneous experimental units. The blocked general minimum lower-order confounding (B1-GMC) criterion is appropriate for selecting optimal blocked designs. This article extends B1-GMC criterion to s-level… read more here.
Keywords: criterion; general minimum; lower order; blocked designs ... See more keywords
Homotopy properties and lower-order vertices in higher-spin equations
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Physics A: Mathematical and Theoretical"
DOI: 10.1088/1751-8121/aae5e1
Abstract: New homotopy approach to the analysis of nonlinear higher-spin equations is developed. It is shown to directly reproduce the previously obtained local vertices. Simplest cubic (quartic in Lagrangian nomenclature) higher-spin interaction vertices in four dimensional… read more here.
Keywords: homotopy properties; properties lower; spin equations; higher spin ... See more keywords
A Universal Physics-Informed Neural Network Framework for Predicting Network Dynamics: From Lower-Order to Higher-Order
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2025.3618834
Abstract: Accurately predicting the complex networks dynamics is a challenging task. Many studies have shown that data-driven frameworks offer promising solutions to this issue. However, existing approaches still face significant limitations, particularly when network structures evolve… read more here.
Keywords: higher order; lower order; dynamics lower; network ... See more keywords
General Minimum Lower-Order Confounding Designs with Multi-Block Variables
Sign Up to like & getrecommendations! Published in 2021 at "Mathematical Problems in Engineering"
DOI: 10.1155/2021/5548102
Abstract: Blocking the inhomogeneous units of experiments into groups is an efficient way to reduce the influence of systematic sources on the estimations of treatment effects. In practice, there are two types of blocking problems. One… read more here.
Keywords: block variables; block; general minimum; multi block ... See more keywords