Transport Disadvantage, Social Exclusion and Subjective Wellbeing: The Role of Built Environment – Evidence from Sydney, Australia

This study explores the effects of the built environment on transport disadvantage, social exclusion, personal health and subjective wellbeing (SWB) using survey data collected in four socio-economically disadvantaged neighbourhoods in Sydney, Australia. The data is analysed at both neighbourhood and individual levels using both descriptive analysis and structural equation modelling (SEM). Overall, our model supports the hypothesis that a walkable neighbourhood environment, measured by density, diversity, access, and infrastructure for walking and cycling, helps to reduce transport disadvantage and increase social inclusion. However, the impact of the physical environment does not carry forward to impact personal health and SWB. The exception to this finding is where the environment is perceived to be aesthetically pleasing – a variable which significantly positively affects SWB. In addition to the physical environment, crime is a significant factor that directly influences transport disadvantage and SWB

Transport disadvantage, social exclusion, and subjective well-being: The role of the neighborhood environment—evidence from Sydney, Australia

© 2018 Liang Ma, Jennifer L. Kent & Corinne Mulley. This study explores the effects of the neighborhood environment on transport disadvantage, social exclusion, personal health and subjective well-being (SWB) using survey data collected in Sydney, Australia. The data is analyzed using structural equation modelling (SEM). Overall, our model supports the hypothesis that a walkable neighborhood environment helps to reduce transport disadvantage and increase social inclusion. Neighborhood density has negative effects on both physical and mental health, but a positive effect on SWB. Further, a cohesive neighborhood environment is associated with less transport disadvantage, more engagement in political and civic activities, more social help, better mental health and higher SWB. By contrast, perception of crime in a neighborhood is associated with more transport disadvantage and worse physical health. Neighborhood aesthetics and the neighborhood social environment have stronger effects on SWB than other neighborhood environment characteristics

Muscle Fatigue Analysis Using OpenSim

In this research, attempts are made to conduct concrete muscle fatigue analysis of arbitrary motions on OpenSim, a digital human modeling platform. A plug-in is written on the base of a muscle fatigue model, which makes it possible to calculate the decline of force-output capability of each muscle along time. The plug-in is tested on a three-dimensional, 29 degree-of-freedom human model. Motion data is obtained by motion capturing during an arbitrary running at a speed of 3.96 m/s. Ten muscles are selected for concrete analysis. As a result, the force-output capability of these muscles reduced to 60%-70% after 10 minutes' running, on a general basis. Erector spinae, which loses 39.2% of its maximal capability, is found to be more fatigue-exposed than the others. The influence of subject attributes (fatigability) is evaluated and discussed

A Cost-Effectiveness Protocol for Flood-Mitigation Plans Based on Leeds’ Boxing Day 2015 Floods

Inspired by the Boxing Day 2015 flood of the River Aire in Leeds, UK, and subsequent attempts to mitigate adverse consequences of flooding, the goals considered are: (i) to revisit the concept of flood-excess volume (FEV) as a complementary diagnostic for classifying flood events; (ii) to establish a new roadmap/protocol for assessing flood-mitigation schemes using FEV; and, (iii) to provide a clear, graphical cost-effectiveness analysis of flood mitigation, exemplified for a hypothetical scheme partially based on actual plans. We revisit the FEV concept and present it as a three-panel graph using thresholds and errors. By re-expressing FEV as a 2m -deep square lake of equivalent capacity, one can visualise its dimensions in comparison with the river valley considered. Cost-effectiveness of flood-mitigation measures is expressed within the FEV square-lake; different scenarios of our hypothetical flood-mitigation scheme are then presented and assessed graphically, with each scenario involving a combination, near and further upstream of Leeds, of higher (than existing) flood-defence walls, enhanced flood-plain storage sites, giving-room-to-the-river bed-widening and natural flood management. Our cost-effectiveness analysis is intended as a protocol to compare and choose between flood-mitigation scenarios in a quantifiable and visual manner, thereby offering better prospects of being understood by a wide audience, including citizens and city-council planners. Using techniques of data analysis combined with general river hydraulics, common-sense and upper-bound estimation, we offer an accessible check of flood-mitigation plans

Establishing a National Shellfish Sanitation Program in The Gambia, West Africa

A successful national program to assure sanitary quality of molluscan shellfish requires a multi-disciplinary and multi-agency governmental training, data collection, policy development and management effort in collaboration with members of the shellfish industry. The Tanbi Wetlands and other estuaries of Gambia support shellfisheries for oysters, Crassostrea tulipa, and the senile ark, Senelia senilis, conducted by the TRY Oyster Women’s Association. With low shellfish prices and a small local market, a Gambian National Shellfish Sanitation Program (GNSSP) was begun as a means to boost consumer confidence and allow market access to Gambia’s robust seasonal international tourism trade. Gambian officials began training with a study tour to Rhode Island to work with counterpart officials engaged in administering the US-NSSP. Since August 2010, water was sampled bimonthly for total (TC) and fecal coliforms (FC) at stations near shellfish harvesting areas. Sanitary shoreline surveys began on 18 June 2011 to document sources of contamination and to establish priorities for remediation. Conclusions were 1) sanitary shoreline surveys identified numerous point contamination sources, 2) FC is a superior indicator of fecal contamination than TC, 3) FC values from most shellfish growing areas met or exceeded a FC standard of 14 MPN/100 ml most of the year, indicating clean growing waters, 4) highest average FC values corresponded to local rainfall maxima from July to October during the traditional off-season for shellfishing, 5) sanitary remediation (e.g. introduction of sanitary latrines at Old Jeshwang) resulted in localized water quality improvement and 6) there is enough data precision and repeatability to establish and map water quality classification zones. In areas without sanitation or near a dumpsite, FC values indicate a prohibited zone, but areas away from settlements could be certified year-around harvest sites. Postharvest shellfish sanitation and cold chain management from harvest to market remain as the key challenge of the GNSSP

Stochastic accumulation of feature information in perception and memory

It is now well established that the time course of perceptual processing influences the first second or so of performance in a wide variety of cognitive tasks. Over the last20 years, there has been a shift from modeling the speed at which a display is processed, to modeling the speed at which different features of the display are perceived and formalizing how this perceptual information is used in decision making. The first of these models(Lamberts, 1995) was implemented to fit the time course of performance in a speeded perceptual categorization task and assumed a simple stochastic accumulation of feature information. Subsequently, similar approaches have been used to model performance in a range of cognitive tasks including identification, absolute identification, perceptual matching, recognition, visual search, and word processing, again assuming a simple stochastic accumulation of feature information from both the stimulus and representations held in memory. These models are typically fit to data from signal-to-respond experiments whereby the effects of stimulus exposure duration on performance are examined, but response times (RTs) and RT distributions have also been modeled. In this article, we review this approach and explore the insights it has provided about the interplay between perceptual processing, memory retrieval, and decision making in a variety of tasks. In so doing, we highlight how such approaches can continue to usefully contribute to our understanding of cognition

Random qubit-states and how best to measure them

We consider the problem of measuring a single qubit, known to have been prepared in either a randomly selected pure state or a randomly selected real pure state. We seek the measurements that provide either the best estimate of the state prepared or maximise the accessible information. Surprisingly, any sensible measurement turns out to be optimal. We discuss the application of these ideas to multiple qubits and higher-dimensional systems

A unifying framework for seed sensitivity and its application to subset seeds

We propose a general approach to compute the seed sensitivity, that can be applied to different definitions of seeds. It treats separately three components of the seed sensitivity problem -- a set of target alignments, an associated probability distribution, and a seed model -- that are specified by distinct finite automata. The approach is then applied to a new concept of subset seeds for which we propose an efficient automaton construction. Experimental results confirm that sensitive subset seeds can be efficiently designed using our approach, and can then be used in similarity search producing better results than ordinary spaced seeds