Publications by authors named "M A M Mulders"
The global environmental issues require that we redesign food systems. Transitioning towards more plant-based diets is crucial, but there is a gap observed between consumers' intention and behaviour. We propose that businesses in the food sector can play a role by challenging their potential customers to overcome the gap.
View Article and Find Full Text PDFMeasles and rubella have long been recognized as priorities for disease prevention because of their devastating consequences for child health; hence, all World Health Organization (WHO) regions currently have a goal to eliminate measles and four out of six WHO regions have a goal to eliminate rubella. Significant global progress has been made in the twenty-first century, with more than 40% of countries in the world verified by a Regional Verification Commission as having eliminated measles and more than 50% of countries having sustained rubella elimination. Making further progress will require addressing fundamental gaps in health systems, a particular challenge in the current global context where many countries face multiple barriers to both sustaining and achieving measles and rubella elimination.
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- - Midgut neuroendocrine tumors (NET) are linked to enterochromaffin cells and have shown a unique fecal microbial signature in patients, indicating an altered gut microbiome compared to healthy controls.
- - A study involving sequencing of fecal samples from 60 NET patients and 20 matched controls revealed specific differences in microbial communities, with 16 species and 18 pathways significantly varying between groups, yet no notable differences in microbial composition were found between patients with and without carcinoid syndrome (CS).
- - The research identifies potential microbial signatures that could serve as biomarkers for diagnosing midgut NET and distinguishing between patients with and without CS, with high accuracy in predicting presence based on microbial pathways and species.
Article Synopsis
- The study focuses on detecting multijet signatures from proton-proton collisions at a high energy of 13 TeV, analyzing a dataset totaling 128 fb^{-1}.
- A special data scouting method is utilized to pick out events with low combined momentum in jets.
- This research is pioneering in its investigation of electroweak particle production in R-parity violating supersymmetric models, particularly examining hadronically decaying mass-degenerate higgsinos, and it broadens the limits on the existence of R-parity violating top squarks and gluinos.
The first search for soft unclustered energy patterns (SUEPs) is performed using an integrated luminosity of 138 fb^{-1} of proton-proton collision data at sqrt[s]=13 TeV, collected in 2016-2018 by the CMS detector at the LHC. Such SUEPs are predicted by hidden valley models with a new, confining force with a large 't Hooft coupling. In events with boosted topologies, selected by high-threshold hadronic triggers, the multiplicity and sphericity of clustered tracks are used to reject the background from standard model quantum chromodynamics.
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