Predicting stress and mental wellbeing among doctoral researchers

Although mental health in higher education is increasingly recognised as a public health issue, postgraduate research students are often overlooked. Recent studies indicate a high prevalence of mental distress in this population. This study assesses the experience of doctoral researchers and identifies factors influencing mental wellbeing and perceived stress. A cross-sectional study examined how key demographic, individual and contextual factors related to stress and mental wellbeing in a sample of 431 doctoral researchers in the United Kingdom. Respondents gave positive reports about their supervisory relationship and identified feeling confidently prepared for their work. Family support, good general health, sleep and low levels of self-depreciation predicted stronger mental wellbeing and lower levels of stress. Students who were confident about their future career and felt well prepared for their studies were less stressed and those who were achievement orientated had better mental wellbeing. Focused attention on exploring career options and building confidence may help reduce stress among doctoral researchers. Taking steps to tackle the imposter phenomenon may help further. These could include addressing fear of failure, improving confidence in research ability and clarifying the role of doctoral researchers within the wider academic community.Higher Education Funding Council for Englan

A rheological network model for the continuum anisotropic and viscoelastic behavior of soft tissue

The mechanical behavior of soft tissue demonstrates a number of complex features including nonlinearity, anisotropy, viscoelasticity, and growth. Characteristic features of the time-dependent and anisotropic behavior are related to the properties of various components of the tissue such as fibrous collagen and elastin networks, large proteins and sugars attached to these networks, and interstitial fluid. Attempts to model the elastic behavior of these tissues based on assumptions about the behavior of the underlying constituents have been reasonably successful, but the essential addition of viscoelasticity to these models has been met with varying success. Here, a new rheological network model is proposed using, as its basis, an orthotropic hyperelastic constitutive model for fibrous tissue and a viscoelastic reptation model for soft materials. The resulting model has been incorporated into numerical and computational models, and is shown to capture the mechanical behavior of soft tissue in various modes of deformation including uniaxial and biaxial tension and simple shear.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/47943/1/10237_2004_Article_49.pd

Cooking up a storm: Community-led mapping and advocacy with food vendors in Nairobi's informal settlements

Food security is rarely prioritised in African cities, and food vendors are similarly ignored or stigmatised, despite providing a range of affordable, accessible meals. Furthermore, past research and urban policies usually overlook food hawkers selling inside informal settlements. Based on participatory research in Nairobi, this paper aims to address the invisibility of vendors in informal settlements and to inform more appropriate, inclusive urban food security strategies. Balloon-mapping and other novel mapping techniques were combined with focus group discussions to explore vendors’ practices, challenges, and opportunities for promoting food safety. Our detailed maps, vivid narratives, and community-led strategies may cook up a storm that can create safer foods and more secure livelihoods, with benefits extending across African informal settlements

Lidar Measurements of the Vertical Distribution of Aerosol Optical and Physical Properties over Central Asia

The vertical structure of aerosol optical and physical properties was measured by Lidar in Eastern Kyrgyzstan, Central Asia, from June 2008 to May 2009. Lidar measurements were supplemented with surface-based measurements of PM2.5 and PM10 mass and chemical composition in both size fractions. Dust transported into the region is common, being detected 33% of the time. The maximum frequency occurred in the spring of 2009. Dust transported to Central Asia comes from regional sources, for example, Taklimakan desert and Aral Sea basin, and from long-range transport, for example, deserts of Arabia, Northeast Africa, Iran, and Pakistan. Regional sources are characterized by pollution transport with maximum values of coarse particles within the planetary boundary layer, aerosol optical thickness, extinction coefficient, integral coefficient of aerosol backscatter, and minimum values of the Ångström exponent. Pollution associated with air masses transported over long distances has different characteristics during autumn, winter, and spring. During winter, dust emissions were low resulting in high values of the Ångström exponent (about 0.51) and the fine particle mass fraction (64%). Dust storms were more frequent during spring with an increase in coarse dust particles in comparison to winter. The aerosol vertical profiles can be used to lower uncertainty in estimating radiative forcing