Publications by authors named "M Plum"
Background: Because of its biocompatibility and its soft and dynamic nature, the grafting of adipose tissue is regarded an ideal technique for soft-tissue repair. The adipose stem cells (ASCs) contribute significantly to the regenerative potential of adipose tissue, because they can differentiate into adipocytes and release growth factors for tissue repair and neovascularization to facilitate tissue survival. The present study tested the effect of administering a chronic low dose of ∆-tetrahydrocannabinol (THC) on these regenerative properties, in vitro and in vivo.
View Article and Find Full Text PDFThe capacity for tissue repair during wound healing declines with age. A chronic low but systemic inflammatory status, often called "inflammaging", is considered a key factor that contributes to impaired tissue regeneration. This phenomenon has been substantiated by an increased number of immune cells in wound-tissue of old mice.
View Article and Find Full Text PDFArticle Synopsis
- * The study introduces enhanced modeling techniques for neutrino flux and detector response, and it distinguishes between starting (inside) and throughgoing (outside) neutrino interaction events to improve energy resolution.
- * The findings indicate a best-fit point for the 3+1 model with sin²(2θ_{24})=0.16 and Δm_{41}²=3.5 eV², supporting previous studies while showing consistency with no evidence of sterile neutrinos, as reflected
Article Synopsis
- The review examines the rise in allergies related to a vegan diet, particularly focusing on legumes beyond the commonly known allergens like peanuts and soybeans.
- It identifies lesser-known legumes, such as peas, lentils, and lupine, as potential causes of allergic reactions, with severe cases noted especially for peas and lupine.
- The need for more extensive research on these non-priority allergens is emphasized to improve diagnostics and understand cross-reactivities with established allergens.
Article Synopsis
- - The study presents a measurement of astrophysical tau neutrinos using 9.7 years of data from the IceCube observatory, identifying seven candidate events with energies between 20 TeV and 1 PeV.
- - Convolutional neural networks were used to analyze simulated event images, helping to estimate the parent tau neutrino energy to be around 200 TeV while facing a background of about 0.5 events primarily from non-tau astrophysical neutrinos.
- - The results confirmed the presence of astrophysical tau neutrinos at a 5σ significance level, aligning with existing IceCube measurements and theoretical predictions regarding neutrino flux and oscillations.