Making A Martian Home: Finding Humans On Mars Through Utopian Architecture

A renewed public and state interest in space exploration in recent years, coupled with technological advancements in rocket science and architectural systems, has made design and engineering initiatives for Martian living tangible and urgent. This article traces the practice of utopian architectural design of a home on Mars. This home has been described by its architects as a ‘place for people’ and for ‘all of humanity’. Off-Earth habitats have traditionally been designed with emphasis on the functionality of surviving extreme environments. New designs for Mars aim to make human-centric homes in which people can be comfortable. However, when confronted with the known realities of the Martian landscape, such designs reconfigure the place and form of the human. The Martian landscape requires that a home shelters the human body from hostile elements through totalising closed loop architectural systems. In such extreme architecture, the human form is configured as a calculable body, and becomes ‘erased’. This article ethnographically traces how the human is imagined in such design practice and asks what happens to the idea of the human through informed design thinking as architects meet space scientists. It traces how utopic motivations to build a space ‘for all humanity’ are challenged through the material and practical reality of making design choices and exclusions. The ethnography follows the figure of the human as it is imagined as an emergent Martian lifeform which confronts the problems of the different gravity, light, radiation, and terrain that a life on mars would entail. Considering how the concept of ‘living’ might be possible in a future Martian habitat involves the practice of imagining radically alternative forms of life. By tracing how these are imagined, contested, and considered this article asks how practices of conceptualising radical alterity relate to understanding oneself as connected to the enduring idea of being human

Towards an anthropology of gravity: Emotion and embodiment in microgravity environments

Human space travel has largely been understood through a physiological and psychological lens but rarely sociologically or anthropologically. Drawing on astronaut testimony, experiences of microgravity environments, laboratory experiments and art practice this paper argues that gravity, or rather its absence, offers a unique vantage point through which to consider the human relationship to emotion, cognition, and the curation of social relations via experiences of the body in different gravitational environments. The analysis draws attention to the contextual, embodied and contingent moments of social relations through using a holistic materialist position with theories of affect and work on the anthropology of the body. An anthropology of gravity recognises the ethno-physical conditions of space-living by showing that microgravity environments disturb the habitual affective landscapes of human interaction. It suggests that body, emotion, social relations and environment can be better understood when they are contextualised by the underlying forces that operate subtly throughout them; forces that are more fully understood once they are no longer present

On the Distribution of Salient Objects in Web Images and its Influence on Salient Object Detection

It has become apparent that a Gaussian center bias can serve as an important prior for visual saliency detection, which has been demonstrated for predicting human eye fixations and salient object detection. Tseng et al. have shown that the photographer's tendency to place interesting objects in the center is a likely cause for the center bias of eye fixations. We investigate the influence of the photographer's center bias on salient object detection, extending our previous work. We show that the centroid locations of salient objects in photographs of Achanta and Liu's data set in fact correlate strongly with a Gaussian model. This is an important insight, because it provides an empirical motivation and justification for the integration of such a center bias in salient object detection algorithms and helps to understand why Gaussian models are so effective. To assess the influence of the center bias on salient object detection, we integrate an explicit Gaussian center bias model into two state-of-the-art salient object detection algorithms. This way, first, we quantify the influence of the Gaussian center bias on pixel- and segment-based salient object detection. Second, we improve the performance in terms of F1 score, Fb score, area under the recall-precision curve, area under the receiver operating characteristic curve, and hit-rate on the well-known data set by Achanta and Liu. Third, by debiasing Cheng et al.'s region contrast model, we exemplarily demonstrate that implicit center biases are partially responsible for the outstanding performance of state-of-the-art algorithms. Last but not least, as a result of debiasing Cheng et al.'s algorithm, we introduce a non-biased salient object detection method, which is of interest for applications in which the image data is not likely to have a photographer's center bias (e.g., image data of surveillance cameras or autonomous robots)

The role of evidence in nutrition policymaking in Ethiopia: institutional structures and issue framing

Malnutrition is the single greatest contributor to the global burden of morbidity and mortality, with most cases arising in low‐ and middle‐income countries. However, the multi‐sectoral nature of nutrition policy‐making adds considerable complexity to the implementation of effective programmes. This raises questions about why or how relevant policy change can come about within different country settings. This article examines multi‐sectoral nutrition policy‐making from the health sector perspective, specifically focusing on different sectoral perspectives and the role and use of evidence within this. Ethiopia provides a unique example of the challenging nature of multi‐sectoral nutrition policy‐making, even with a strong co‐ordinating infrastructure. In December 2014 we undertook 23 in‐depth semi‐structured interviews with stakeholders from key health sector organizations, along with a related documentary analysis. Participants represented a diverse range of perspectives, including government representatives, policy stakeholders, aid providers from multi‐lateral organizations and academic researchers. Our respondents described how nutrition framing in Ethiopia is changing, with greater consideration of overweight, obesity and non‐communicable diseases, as well as undernutrition and micronutrient deficiencies. However, overweight‐ and obesity‐related concerns are still less evident in key documents. Some health actors described the challenge of enacting structural policy changes when doing so requires engagement from the agriculture sector. While multi‐sectoral plans and infrastructure to address malnutrition are in place, respondents suggested that the mandate for addressing nutrition resting with the health sector was reinforced by the nature of evidence collected. This study of nutrition policy‐making in Ethiopia highlights the complex interaction of evidence within different conceptualisations of policy problems and responses. Despite Ethiopia's strategic framework and its progress in achieving terms of nutrition targets, it shares the challenge of countries elsewhere in addressing nutrition as a multi‐sectoral issue

SPLINE MODELS FOR ESTIMATING HEAT STRESS THRESHOLDS IN CATTLE

Studies of the relationship between animal body temperature and air temperature suggest body temperature is essentially unresponsive until a threshold is reached, then it responds dramatically to increasing air temperature. The goal is to estimate the threshold between the thermoneutral plateau and the beginning of the heat stress challenge. One approach is to fit a polynomial to estimate the knot position and use spline functions to perform linear least squares piecewise polynomial fitting. Another alternative is to use nonlinear regression to estimate the knot or an inflection point of a nonlinear function. In both approaches the cyclic nature of body temperature is ignored. This paper explores the use of nonlinear regression to estimate the knot position and handles the hysteresis effect resulting from the cyclic nature of body temperature. Models are fit to data collected from cattle in chambers subjected to semicontrolled sinusoidal air temperature at the University of Missouri-Columbia Animal Science department and a procedure for estimating the heat stress threshold is proposed

Multiscale Discriminant Saliency for Visual Attention

The bottom-up saliency, an early stage of humans' visual attention, can be considered as a binary classification problem between center and surround classes. Discriminant power of features for the classification is measured as mutual information between features and two classes distribution. The estimated discrepancy of two feature classes very much depends on considered scale levels; then, multi-scale structure and discriminant power are integrated by employing discrete wavelet features and Hidden markov tree (HMT). With wavelet coefficients and Hidden Markov Tree parameters, quad-tree like label structures are constructed and utilized in maximum a posterior probability (MAP) of hidden class variables at corresponding dyadic sub-squares. Then, saliency value for each dyadic square at each scale level is computed with discriminant power principle and the MAP. Finally, across multiple scales is integrated the final saliency map by an information maximization rule. Both standard quantitative tools such as NSS, LCC, AUC and qualitative assessments are used for evaluating the proposed multiscale discriminant saliency method (MDIS) against the well-know information-based saliency method AIM on its Bruce Database wity eye-tracking data. Simulation results are presented and analyzed to verify the validity of MDIS as well as point out its disadvantages for further research direction.Comment: 16 pages, ICCSA 2013 - BIOCA sessio

Changes in soil microbial community structure with tillage under long-term wheat-fallow management

Fatty acid methyl esters (FAMEs) were used to `fingerprint\u27 soil microbial communities that evolved during 25 years of wheat-fallow cropping following native mixed prairie sod at Sidney, Nebraska, USA. Total ester-linked FAMEs (EL-FAMEs) and phospholipid-linked FAMEs (PL-FAMEs) were compared for their ability to discriminate between plots remaining in sod and those cropped to wheat or left fallow under no-till, sub-till or plow management. Cropped plots were higher in microbial biomass than their fallowed counterparts, and did not differ significantly with tillage for the 0±15 cm depth. Under fallow, microbial biomass was greatest in no-till and least in plow. Both cluster and discriminant analysis of PL- and EL-FAMEs clearly separated the remaining native sod plots from the existing wheat-fallow plots. This separation was particularly pronounced for the EL-FAMEs and was largely driven by high amounts in sod of a single FAME, C16:1(cis11), which has been cited as a biomarker for arbuscular mycorrhizal (AM) fungi. Within wheat-fallow, C16:1(cis11) declined significantly from no-till to plow, which supports the origin of C16:1(cis11) from extraradical mycelium and spores of AM fungi known to be sensitive to soil disturbance. Although discriminant analysis of PL- and EL-FAMEs differentiated wheat and fallow systems by tillage, discrimination among tillage treatments was expressed most strongly during fallow. FAME profiles from fallow plow were most dissimilar from cropped soils which suggests a relationship between tillage management and the long-term resiliency of the microbial community developed under the wheat crop