Uncoupled continuous-time random walks: Solution and limiting behavior of the master equation

A detailed study is presented for a large class of uncoupled continuous-time random walks (CTRWs). The master equation is solved for the Mittag-Leffler survival probability. The properly scaled diffusive limit of the master equation is taken and its relation with the fractional diffusion equation is discussed. Finally, some common objections found in the literature are thoroughly reviewed.Comment: Preprint version of an already published paper. 8 page

Menstrual cycle and oral contraceptives' effects on growth hormone response to sprinting

The present study examined the impact of the menstrual cycle and oral contraceptive (OC) use on the growth hormone response to nonmotorized treadmill sprinting. Nine monophasic OC users (21.5 ± 4.7 years old), and 8 normally menstruating women (NM; 21.4 ± 2.9 years old) participated in the study. Each participant completed 2 main trials, each consisting of an all-out 30-s treadmill sprint. The NM group performed one trial in the midfollicular phase (NM follicular) and one in the midluteal phase (NM luteal); the OC group’s trials occurred one week into the start of the pill-taking cycle and once during the week in which pills were not taken.Venous blood samples were analyzed for growth hormone, pH, lactate, glucose, and progesterone concentrations. Peak and mean power output did not differ between the groups or with menstrual phase, or between the OC-free and OC trials. Integrated growth hormone was greater in the OC group than in the NM group (p = 0.04) with no phase difference (p = 0.80, mean (SD); NM follicular: 421 (335) and NM luteal: 345 (304) vs. OC free: 737 (471) and OC: 758 (389) µg·L–1·90 min–1). Blood lactate was higher in the OC group than in the NM group (p = 0.007) and, conversely, pH was lower in the OC group (p = 0.01). These results demonstrate that OC users who take high-androgenicity pills have a higher growth hormone response to sprint running than do normally menstruating women. </jats:p

Young and Elderly Fashion Influencers

The aim of this paper is to analyse a new phenomenon that has emerged in the fashion system: the advent of female fashion influencers over 70. To outline all the novelties this brings with it, we produced a comparison between elderly and young fashion influencers along the evolution of the fashion system in the last decade. We considered both the first wave of fashion blogging (2012–15) populated by young fashion bloggers and the second wave (2015–19) in which we considered especially elderly fashion influencers. At the operational level, we selected the four fashion bloggers who were most followed on Facebook in 2011 in Italy: Chiara Ferragni (theblondesalad.com), Veronica Ferraro (thefashionfruit.com), Nicoletta Reggio (scentofobsession.com), and Irene Colzi (ireneccloset.com). Regarding old women, in 2019 we selected the top 20 elderly influencers over 70, identified using Instagram’s search feature to detect age-related trends (i.e., using hashtags such as #over70 or #advancedstyle). While the four young fashion influencers are Italian, for the older fashion influencers we needed to select English-speaking women from across the globe, as this phenomenon is still just beginning in Italy. We applied qualitative and quantitative methods to capture bloggers’ online strategies and activities for two weeks at both the discursive and visual levels. The results show that while young fashion influencers have been incorporated into the fashion system, fashion influencers over 70 are still producing an important discourse for women, the elderly, and the whole society, although the initial attempts on the part of fashion houses to colonize them are emerging