533 research outputs found
The Role of Consumers' Emotions in Online Impulse Buying of Fashion Apparel
This study examined emotions as predictors of subsequent buying behavior. The primary aim of this research was to investigate consumers’ experience of impulsive buying in the online shopping environment and the influence that emotions have on these experiences, focusing on fashion apparel. Hypotheses were developed around the premise that emotions play a prominent role in everyday decisions, including an individual’s impulsive decisions and buying behavior. The study used a self-administered 10-item questionnaire to test the hypotheses. One hundred and twenty-eight people (N=128; 55% men, 45% women) from various parts of the world, with persons aged between 18 and 34 (77.34%) most represented, completed the survey. The data revealed a strong correlation between negative emotions and impulse buying, and between low arousal of negative emotions and impulse buying. Other results and implications are discussed
Landscape as a Model: The Importance of Geometry
In all models, but especially in those used to predict uncertain processes (e.g., climate change and nonnative species establishment), it is important to identify and remove any sources of bias that may confound results. This is critical in models designed to help support decisionmaking. The geometry used to represent virtual landscapes in spatially explicit models is a potential source of bias. The majority of spatial models use regular square geometry, although regular hexagonal landscapes have also been used. However, there are other ways in which space can be represented in spatially explicit models. For the first time, we explicitly compare the range of alternative geometries available to the modeller, and present a mechanism by which uncertainty in the representation of landscapes can be incorporated. We test how geometry can affect cell-to-cell movement across homogeneous virtual landscapes and compare regular geometries with a suite of irregular mosaics. We show that regular geometries have the potential to systematically bias the direction and distance of movement, whereas even individual instances of landscapes with irregular geometry do not. We also examine how geometry can affect the gross representation of real-world landscapes, and again show that individual instances of regular geometries will always create qualitative and quantitative errors. These can be reduced by the use of multiple randomized instances, though this still creates scale-dependent biases. In contrast, virtual landscapes formed using irregular geometries can represent complex real-world landscapes without error. We found that the potential for bias caused by regular geometries can be effectively eliminated by subdividing virtual landscapes using irregular geometry. The use of irregular geometry appears to offer spatial modellers other potential advantages, which are as yet underdeveloped. We recommend their use in all spatially explicit models, but especially for predictive models that are used in decisionmaking
Benefits of greenhouse gas mitigation on the supply, management, and use of water resources in the United States
Climate change impacts on water resources in the United States are likely to be far-reaching and substantial because the water is integral to climate, and the water sector spans many parts of the economy. This paper estimates impacts and damages from five water resource-related models addressing runoff, drought risk, economics of water supply/demand, water stress, and flooding damages. The models differ in the water system assessed, spatial scale, and unit of assessment, but together provide a quantitative and descriptive richness in characterizing water sector effects that no single model can capture. The results, driven by a consistent set of greenhouse gas (GHG) emission and climate scenarios, examine uncertainty from emissions, climate sensitivity, and climate model selection. While calculating the net impact of climate change on the water sector as a whole may be impractical, broad conclusions can be drawn regarding patterns of change and benefits of GHG mitigation. Four key findings emerge: 1) GHG mitigation substantially reduces hydro-climatic impacts on the water sector; 2) GHG mitigation provides substantial national economic benefits in water resources related sectors; 3) the models show a strong signal of wetting for the Eastern US and a strong signal of drying in the Southwest; and 4) unmanaged hydrologic systems impacts show strong correlation with the change in magnitude and direction of precipitation and temperature from climate models, but managed water resource systems and regional economic systems show lower correlation with changes in climate variables due to non-linearities created by water infrastructure and the socio-economic changes in non-climate driven water demand
An absolute quantum energy inequality for the Dirac field in curved spacetime
Quantum Weak Energy Inequalities (QWEIs) are results which limit the extent
to which the smeared renormalised energy density of a quantum field can be
negative. On globally hyperbolic spacetimes the massive quantum Dirac field is
known to obey a QWEI in terms of a reference state chosen arbitrarily from the
class of Hadamard states; however, there exist spacetimes of interest on which
state-dependent bounds cannot be evaluated. In this paper we prove the first
QWEI for the massive quantum Dirac field on four dimensional globally
hyperbolic spacetime in which the bound depends only on the local geometry;
such a QWEI is known as an absolute QWEI
Descending systems direct development of key spinal motor circuits
The formation of mature spinal motor circuits is dependent on both activity dependent and independent mechanisms during postnatal development. During this time, reorganisation and refinement of spinal sensorimotor circuits occurs as supraspinal projections are integrated. However, specific features of postnatal spinal circuit development remain poorly understood. This study provides the first detailed characterisation of rat spinal sensorimotor circuit development in the presence and absence of descending systems. We show that development of proprioceptive afferent (PA) input to motoneurones (MN) and Renshaw cells (RC) is disrupted by thoracic spinal cord transection (TX) at postnatal day 5 (PN5). PN5TX also lead to malformation of GABApre neuron axo-axonic contacts on Ia afferents and the recurrent inhibitory circuit between MN and RC. Using a novel in situ perfused preparation for studying motor control, we show that malformation of these spinal circuits leads to hyperexcitability of the monosynaptic reflex. Our results demonstrate that removing descending input severely disrupts development of spinal circuits and identifies key mechanisms contributing to motor dysfunction in conditions such as cerebral palsy and spinal cord injury
Design Metrics Which Predict Source Code Quality
Since the inception of software engineering, the major goal has been to control the development and maintenance of reliable software. To this end, many different design methodologies have been presented as a means to improve software quality through semantic clarity and syntactic accuracy during the specification and design phases of the software life cycle. On the other end of the life cycle, software quality metrics have been proposed to supply quantitative measures of the resultant software. This study is an attempt to unify the concepts of design methodologies and software quantity metrics by providing a means to determine the quality of a design before its implementation. By knowing (quantitatively) the quality of the design, a considerable amount of time and money can be saved by realizing design problems and being able to correct these problems at design time. All of this can be accomplished before any effort has been expended on the implementation of the software. This paper provides a means of allowing a software designer to predict the quality of the source code at design time. Actual equations for predicting source code quality from design metric values are given
Prevalence and molecular characterization of Clostridium difficile isolated from feedlot beef cattle upon arrival and mid-feeding period
<p>Abstract</p> <p>Background</p> <p>The presence of indistinguishable strains of <it>Clostridium difficile </it>in humans, food animals and food, as well as the apparent emergence of the food-animal-associated ribotype 078/toxinotype V as a cause of community-associated <it>C. difficile </it>infection have created concerns about the potential for foodborne infection. While studies have reported <it>C. difficile </it>in calves, studies of cattle closer to the age of harvest are required. Four commercial feedlots in Alberta (Canada) were enrolled for this study. Fecal samples were collected at the time of arrival and after acclimation (< 62, 62-71 or > 71 days on feed). Selective culture for <it>Clostridium difficile </it>was performed, and isolates were characterized by ribotyping and pulsed-field gel electrophoresis. A logistic regression model was built to investigate the effect of exposure to antimicrobial drugs on the presence of <it>C. difficile</it>.</p> <p>Results</p> <p><it>Clostridium difficile </it>was isolated from 18 of 539 animals at the time of feedlot arrival (CI = 2.3-6.1) and from 18 of 335 cattle at mid-feeding period (CI = 2.9-13.1). Overall, there was no significant difference in the prevalence of <it>C. difficile </it>shedding on arrival versus mid-feeding period (<it>P </it>= 0.47). No association between shedding of the bacterium and antimicrobial administration was found (<it>P </it>= 0.33). All the isolates recovered were ribotype 078, a toxinotype V strain with genes encoding toxins A, B and CDT. In addition, all strains were classified as NAP7 by pulsed field gel electrophoresis (PFGE) and had the characteristic 39 base pairs deletion and upstream truncating mutation on the <it>tcd</it>C gene.</p> <p>Conclusions</p> <p>It is apparent that <it>C. difficile </it>is carried in the intestinal tracts of a small percentage of feedlot cattle arriving and later in the feeding period and that ribotype 078/NAP7 is the dominant strain in these animals. Herd management practices associated with <it>C. difficile </it>shedding were not identified, however further studies of the potential role of antimicrobials on <it>C. difficile </it>acquisition and shedding are required.</p
Common Genetic Variants Explain the Majority of the Correlation Between Height and Intelligence : The Generation Scotland Study
Creative Commons Attribution LicensePeer reviewedPublisher PD
Pilot Implementation of a Nutrition-Focused Community-Health-Worker Intervention among Formerly Chronically Homeless Adults in Permanent Supportive Housing
Food insecurity is a known health equity threat for formerly chronically homeless populations even after they transition into permanent housing. This project utilized a human-centered design methodology to plan and implement a nutrition-focused community-health-worker (CHW) intervention in permanent supportive housing (PSH). The project aimed to increase access to healthy foods, improve nutritional literacy, healthy cooking/eating practices, and build community/social connectedness among 140 PSH residents. Validated food-security screening conducted by CHWs identified low or very low food security among 64% of 83 residents who completed the baseline survey, which is similar to rates found in a previous study among formerly homeless populations placed in PSH. Major themes identified through an analysis of resident feedback include (1) lack of needed kitchenware/appliances for food preparation, (2) knowledge gaps on how to purchase and prepare healthier food, (3) positive perceptions of healthy food options, (4) expanded preferences for healthy, easy-to-prepare foods, (5) regaining cooking skills lost during homelessness, (6) positive experiences participating in group activities, (7) community re-entry, and (8) resident ownership. Preliminary findings suggest the use of a human-centered design methodology for planning and implementing this multi-level CHW intervention helped reduce food insecurity, engaged participants in learning and adopting healthy and safe cooking and eating practices, and fostered social connectedness and feelings of community among formerly chronically homeless PSH residents
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