Locality, loneliness and lifestyle: a qualitative study of factors influencing women's health perceptions. AbstractThe contribution of women to the achievement of global public health targets cannot be underestimated. It is well evidenced that within families, women are a key influence on the health and wellbeing of their children and partners. However geographical differences in women's health inequalities persist and research focusing specifically on women's perceptions of locality factors influencing their own health and wellbeing is scarce. This What is already known: Women's health and wellbeing research has largely focused on specific health conditions such as breast cancer.  Women's life roles tend to be multiple and subject to several constraints such as geographical location  Women's self-rated health and wellbeing is associated with the geographical "ward" they live in.What this paper adds:

High school peer crowds are fundamental components of adolescent development with influences on short- and long-term life trajectories. This study provides the perspectives of contemporary college students regarding their recent high school social landscapes, contributing to current research and theory on the social contexts of high school. This study also highlights the experiences of college-bound students who represent a growing segment of the adolescent population. Sixty-one undergraduates attending universities in two states participated in 10 focus groups to reflect on their experiences with high school peer crowds during the late 2010s. Similar to seminal research on peer crowds, we examined crowds and individuals along several focal domains: popularity, extracurricular involvement, academic orientation, fringe media, illicit risk-taking, and race ethnicity. We find that names and characteristics of crowds reflect the current demographic and cultural moment (i.e., growing importance of having a college education, racial-ethnic diversity) and identify peer crowds that appear to be particularly salient for college-bound youth. Overall, this study illuminates how the retrospective accounts of college-bound students offer insight into high school social hierarchies during a time of rapid social change.

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SynopsisA method of simulating any load would be very useful for the testing of many power drives. The paper examines three feedback-controlled systems whereby inertia loads can be simulated without using flywheels. One system, which has been found to be of a type suitable for the simulation of train loads for laboratory studies of the utilisation and control of traction motors, is described in detail. List of principal symbolsA = transfer function of the equation-of-motion solver, excluding any pure integration factor a = transfer-function parameter controlling the stabilisation of the system when simulating very small inertias; ideally a. = K D -torsional-damping coefficient E -armature e.m.f. e = error voltage / = moment of inertia K = torque-transducer constant . , « • • , d p = differential operator -5 = torsional stiffness T = torque 6 = angular deflection u = angular speed # = angular acceleration V = voltage co -angular frequency Y = transfer function of the machine control system Z = feedback voltage of a tachogenerator mechanically coupled to the loading machine, V per rad/sThe machine detail parameters comprising the transfer functions A and Y are explained in the text.

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