Results 91 to 100 of about 87,527 (252)
Comparative MRI of in vivo kidneys and ex vivo donor kidneys during NMP revealed marked physiological differences and limited correspondence with conventional perfusion or injury metrics. These distinct ex vivo MRI signatures emphasize the need to consider parameters beyond conventional in vivo functional markers when assessing organ viability during ...
Tim L. Hamelink +12 more
wiley +1 more source
Semi-empirical methods (MINDO/3, PM3) and Density Functional Theory calculations (DFT/ B3LYP/ 6-311G) were carried out to evaluate the vibration frequencies and Infra-Red (IR) absorption intensities for equilibrium geometries, of 6,7,8,10 and 12 ...
Rehab M. Kubba
doaj
No added cost: Emotion recognition in co‐occurring ADHD and ASD
Abstract Objectives Facial emotion recognition (FER) is fundamental for social interaction, yet this ability is often impaired in attention‐deficit/hyperactivity disorder (ADHD) or autism spectrum disorder (ASD). While research has documented these difficulties, two key questions remain: Are these deficits specific to recognising emotions or do they ...
Irene Sophia Plank +4 more
wiley +1 more source
Gaussian Bayesian network model of healthcare, food and energy sectors in the pandemic: Türkiye case
Healthcare, food, and energy are the basic needs of life in the globalizing world. Humankind's quest to maintain a healthy life and find ways to meet its needs has continued since its existence.
Ersin Sener, Ibrahim Demir
doaj +1 more source
To vary or not to vary: A flexible empirical Bayes factor for testing variance components
Abstract Random effects are the gold standard for capturing structural heterogeneity, such as individual differences or temporal dependence. Yet testing their presence is difficult because variance components are constrained to be non‐negative, creating a boundary problem. This paper introduces a flexible empirical Bayes factor (EBF) for testing random
Fabio Vieira, Hongwei Zhao, Joris Mulder
wiley +1 more source
A reaction route accounting for the formation of levulinic acid from 5-hydroxymethylfuran-2-carbaldehyde was deduced on the basis of the mechanism previously offered by Horvat, to match the steps with more details.
Ze Wang, Weigang Lin, Wenli Song
doaj
Regularized reduced rank regression for mixed predictor and response variables
Abstract In this paper, we introduce the Generalized Mixed Regularized Reduced Rank Regression model (GMR4), an extension of the GMR3 model designed to improve performance in high‐dimensional settings. GMR3 is a regression method for a mix of numeric, binary and ordinal response variables, while also allowing for mixed‐type predictors through optimal ...
Lorenza Cotugno +2 more
wiley +1 more source
Democratising Multi‐Projector Displays
Spatially augmented reality (SAR) transforms large, surround, collaborative experiences out of VR/AR headsets to the real world by merging content from projectors with the physical environment. This detailed state‐of‐the‐art survey reports on the advancements in multi‐projector aggregation and hardware technologies used to achieve SAR and build ...
Aditi Majumder, Muhammad Twaha Ibrahim
wiley +1 more source
EvolvED: Evolutionary Embeddings to Understand the Generation Process of Diffusion Models
EvolvED visualises how diffusion models generate images by embedding intermediate outputs to preserve semantics and evolutionary structure. It supports analysis via (a) user‐defined goals and prompts, (b) sampling intermediate images, (c) extracting relevant features, and (d) visualising them in structured radial and rectilinear layouts for ...
Vidya Prasad +5 more
wiley +1 more source
Survey on differential estimators for 3d point clouds
Abstract Recent advancements in 3D scanning technologies, including LiDAR and photogrammetry, have enabled the precise digital replication of real‐world objects. These methods are widely used in fields such as GIS, robotics, and cultural heritage. However, the point clouds generated by such scans are often noisy and unstructured, posing challenges for ...
Léo Arnal–Anger +4 more
wiley +1 more source

