... missing node labels from the observed ones, remains relatively unexplored. In this study, we investigate the proficiency of GNNs for such classifications, which can also be cast as a function interpolation problem. Explicitly, we focus on ascertaining the optimal configuration of weights and layers...

... confounding corrected score functions HIV/AIDS measurement error U.S. Public Health Service 10.13039/100007197 AI068635 National Institute of Allergy and Infectious Diseases 10.13039/100000060 R37 AI054165 National Institute of Environmental Health Sciences 10.13039/100000066 T32...

... functions of the form over , where is some signed Radon measure, or, more generally, of the form , where is some distribution supported on , with . One example from this class of functions is , where and is an integer. Given the desired accuracy and the values...

... the ability to reason using mathematical concepts. Duncan et al. proposed that reasoning abilities and Gf are underpinned by a network of mainly bilateral frontal and parietal areas, termed the ‘multiple-demand network’ (MD). ⁷ This proposal was largely based on functional magnetic...

... reading among older adults requires further evidence. The aim of this systematic review was to explore the impact and effectiveness of shared reading groups in slowing cognitive impairment, improving social interaction, promoting psychosocial well-being, and enhancing functional aspects among older adults...

...-rights ) Abstract We propose a statistical downscaling method to produce fine-resolution climate projections. A multivariate spatial statistical model is developed to jointly analyse high-resolution remote sensing data and coarse-resolution climate model outputs. With a basis function representation...

... of different functions applied to serial body weight measures of lowland sheep and, in doing so, also explore the relationship between the parameters within and across functions. The evaluated functions were Brody, Gompertz, Logistic, negative exponential, Richards and von Bertalanffy. The data set used...

... aerial vehicle (UAV) operators. By extracting a wide range of EEG features and applying machine-learning techniques, we were able to accurately predict the reaction time of participants undergoing a simple psycho-motor vigilance task, which acted as a stand-in for basic cognitive functions. Furthermore...

... of information that provides additional insights into the pandemic’s possible future courses. In this paper, we develop a Bayesian generalized additive model where external information can be seamlessly integrated into the projection of future mortality improvement (MI) rates. A collection of spline functions...

..., among others that A might be an empty type. The solution to the paradox consists in seeing that is not a well-defined type. Curry’s paradox type theory inductive definitions functions Czech Academy of Sciences 10.13039/501100004240 LQ300092101 Haskell Curry formulated the paradox...

..., distribution, and reproduction in any medium, provided the original work is properly cited. Abstract Objective In adults who have experienced homelessness, greater psychological resilience is related to better quality of life, community functioning, and social cognition. Domain-specific cognitive...

...Joël Macoir; Véronick Lapierre; Marie-Michelle Brouillard; Phylicia Verreault; Mariane Landry; Carol Hudon Executive functions (EF) are a multidimensional construct encompassing a range of high-level cognitive processes that help us stay focused, solve problems, make decisions, and manage...

...Emma Wärn; Linus Andersson; Nils Berginström Assessment Attention Learning and Memory Executive functions Swedish Neuropsychological Society County Council of Västerbotten Stiftelsen Promobilia 10.13039/100009389 Neuropsychological assessment traditionally requires the patient...

... preceding the neuropsychological assessment. For this study, data were collected between January 2019 and May 2024. This longitudinal study was designed to identify cognitive dysfunction and the evolution of cognitive functions over time in a clinical cohort of Portuguese patients with RRMS applying two...

... Metabolic modelling Biogeochemical cycles Metabolic functions Proteomics Simons Foundation 10.13039/100000893 549931 Simons Foundation 10.13039/100000893 1195558 Damon Runyon Cancer Research Foundation 10.13039/100001021 DRG-2470-22 UNCORRECTED MANUSCRIPT Title: Microbial reaction...

... medium, provided the original work is properly cited. Abstract We make three contributions to the volatility impulse response function (VIRF) developed by Hafner and Herwartz (2006) . First, we derive its law for multivariate GARCH models of the BEKK type. Second, we present a structural embedding...

... provide support for the RnR Hypothesis based on known behavioral correlates of REM sleep and emerging research about REM mechanisms that support these functional outcomes. We begin by reviewing the key processes of NREM and REM sleep that occur in the brain and body. Next, we review evidence of REM’s role...

... through a unique anti-inflammatory profile. colonic organoids in vitro model inflammatory bowel disease intestinal epithelial functions macrophages Coordinated interaction between epithelial and immune myeloid cells is critical to mucosal homeostasis within the gut. One of the major immune cells...

...=1}^{K_M},\quad \boldsymbol{\Psi }_{k_1\ldots k_{M-1}}(\boldsymbol{\theta })\\ &=&\lbrace \boldsymbol{\Psi }_{k_1\ldots k_{M-1} k_M}(\boldsymbol{\theta }) \rbrace _{k_M=1}^{K_M}, \end{eqnarray}$$ both in . The function overidentifies , that is, there are several estimating functions...

... gut functions peptide tyrosine tyrosine University of Adelaide Research Scholarship 2021–25 Independent Research Fund 10.13039/501100011958 National Health and Medical Research Council of Australia Senior Research Fellowship 1103020 2016–22 Diabetes Australia Research Project...