What determined match outcomes at the 2026 FIFA World Cup? An explainable machine learning analysis of penalty area precision and composure under pressure. [PDF]
Dergaa I, Morgans R, Chamari K.
europepmc +1 more source
The study of developing multi‐millet extruded instant noodle with using hot extrusion technology focuses on the optimization of formulations by substituting composite millet flour (finger millet, barnyard millet, and pearl millet) to the rice flour. ABSTRACT Rising consumption of instant foods has necessitated the development of nutritionally balanced ...
Rahul Dev +3 more
wiley +1 more source
Commentary on "Gastrointestinal illness among attendees of the FIFA Football World Cup 2022 in Qatar". [PDF]
Zivarifar H, Keikha M.
europepmc +1 more source
ABSTRACT This study investigates how consumer taste and brand equity perceptions shape the acceptance of plant‐based milk products. Using a blind/informed tasting experiment, we evaluated consumers' willingness to buy (WTB) and taste perception of a plant‐based milk alternative produced by a traditional dairy brand, compared with competing plant‐based ...
Federico Parmiggiani +6 more
wiley +1 more source
Predicting football match outcomes: a multilayer perceptron neural network model based on technical statistics indicators of the FIFA world Cup. [PDF]
Luo Y, Quan T, Cao Y.
europepmc +1 more source
ABSTRACT Food systems have a significant impact on environmental sustainability, underscoring the need for innovative technologies to support more sustainable agricultural methods. However, the adoption of these technologies hinges on consumer acceptance, making the analysis of consumer perceptions essential.
Greta Castellini, Guendalina Graffigna
wiley +1 more source
Performance profiles and match-to-match variability of the most demanding passages during the FIFA World Cup Qatar 2022: the effect of playing positions and match contextual factors. [PDF]
Cortez A +6 more
europepmc +1 more source
A Unifying Approach to Self‐Organizing Systems Interacting via Conservation Laws
The article develops a unified way to model and analyze self‐organizing systems whose interactions are constrained by conservation laws. It represents physical/biological/engineered networks as graphs and builds projection operators (from incidence/cycle structure) that enforce those constraints and decompose network variables into constrained versus ...
F. Barrows +7 more
wiley +1 more source
Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser +6 more
wiley +1 more source
Matrix‐assisted laser desorption/ionization imaging‐based identification of reliable small molecule markers across heterogeneous glioblastoma cohorts is challenging with intensity‐only methods. We present spatially informed feature selection (SIFS), a spatially informed framework that prioritizes molecules consistently colocalizing with histopathology.
Shad A. Mohammed +15 more
wiley +1 more source

