Eye Movement Dynamics Differ between Encoding and Recognition of Faces

Facial recognition is widely thought to involve a holistic perceptual process, and optimal recognition performance can be rapidly achieved within two fixations. However, is facial identity encoding likewise holistic and rapid, and how do gaze dynamics during encoding relate to recognition? While having eye movements tracked, participants completed an encoding (“study”) phase and subsequent recognition (“test”) phase, each divided into blocks of one- or five-second stimulus presentation time conditions to distinguish the influences of experimental phase (encoding/recognition) and stimulus presentation time (short/long). Within the first two fixations, several differences between encoding and recognition were evident in the temporal and spatial dynamics of the eye-movements. Most importantly, in behavior, the long study phase presentation time alone caused improved recognition performance (i.e., longer time at recognition did not improve performance), revealing that encoding is not as rapid as recognition, since longer sequences of eye-movements are functionally required to achieve optimal encoding than to achieve optimal recognition. Together, these results are inconsistent with a scan path replay hypothesis. Rather, feature information seems to have been gradually integrated over many fixations during encoding, enabling recognition that could subsequently occur rapidly and holistically within a small number of fixations

Gender differences in the association between adiposity and probable major depression: a cross-sectional study of 140,564 UK Biobank participants

<b>Background</b><p></p> Previous studies on the association between adiposity and mood disorder have produced contradictory results, and few have used measurements other than body mass index (BMI). We examined the association between probable major depression and several measurements of adiposity: BMI, waist circumference (WC), waist-hip-ratio (WHR), and body fat percentage (BF%).<p></p> <b>Methods</b><p></p> We conducted a cross-sectional study using baseline data on the sub-group of UK Biobank participants who were assessed for mood disorder. Multivariate logistic regression models were used, adjusting for potential confounders including: demographic and life-style factors, comorbidity and psychotropic medication.<p></p> <b>Results</b><p></p> Of the 140,564 eligible participants, evidence of probable major depression was reported by 30,145 (21.5%). The fully adjusted odds ratios (OR) for obese participants were 1.16 (95% confidence interval (CI) 1.12, 1.20) using BMI, 1.15 (95% CI 1.11, 1.19) using WC, 1.09 (95% CI 1.05, 1.13) using WHR and 1.18 (95% CI 1.12, 1.25) using BF% (all p <0.001). There was a significant interaction between adiposity and gender (p = 0.001). Overweight women were at increased risk of depression with a dose response relationship across the overweight (25.0-29.9 kg/m2), obese I (30.0-34.9 kg/m2), II (35.0-39.9 kg/m2) and III (≥40.0 kg/m2) categories; fully adjusted ORs 1.14, 1.20, 1.29 and 1.48, respectively (all p < 0.001). In contrast, only obese III men had significantly increased risk of depression (OR 1.29, 95% CI 1.08, 1.54, p = 0.006).<p></p> <b>Conclusion</b><p></p> Adiposity was associated with probable major depression, irrespective of the measurement used. The association was stronger in women than men. Physicians managing overweight and obese women should be alert to this increased risk

A rich vein? Mining and the pursuit of sustainability

The removal of a nonrenewable natural resource such as metals or petrochemicals hardly meets the definition of “sustainable”. However the methods used to extract the materials can be designed for overall environmental protection. Theoretically controllable variables include water use, transportation methods, and potential remediation/landscape alteration for the postclosure period. Further, in the case of metals, recycling means that the long-term sustainability of such resources can be realized. Amezaga et al. review how mining practices have evolved to consider sustainability over the last few decades and remark on what challenges still need to be overcome

Water Governance in Times of Uncertainty: Complexity, Fragmentation, Innovation

One of the major uncertainties of our era is to what extent and how anthropogenic climate change will affect ecosystems and livelihoods. Given the vast concentration of urban poor in low elevation coastal zones and hillsides susceptible to landslides, many cities in the South are considered particularly at risk. In some cities natural hazards such as droughts will reduce the amount of water available, while in other cities an increase in the number of storms or flood events, where intense flows of water enter the city system very rapidly, and an increase in annual rainfall will intensify the need to capture and manage water in a sustainable and safe manner. Various cities will probably have to face both prolonged periods of droughts in one season and more intense rainfall in another. In some cases different scenarios even predict very different trends. What is evident is that many of the plausible effects of climate change impact water availability, which in turn impacts energy provision in some cities whereas in others it does not. Water is thus one of the primary media through which climate change will impact daily existence and ecosystems (Heath, Parker et al. 2012:619). Yet, as Pelling has recently argued: because of the scalar and temporal nature of climate change and its effects, it is still invisible in and dissociated from everyday life, yet increasingly formative of it. This is a challenge of alienation and separation. There is an existential gap between what can be done to confront the climate change challenges, and what culture and society determine as reasonable and proper to do (Pelling, Manuel-Navarrete et al. 2012:13)