UML Activity Diagram Semantics and Automated GUI Prototyping

Extended Activity Semantics (XAS) is a notation which can be used with Unified Modeling Language (UML) activity diagrams to specify user interactions with a system and to automatically generate a prototype of the graphical user interface (GUI) that would be used in these interactions. XAS has been incorporated in a CASE tool, Guibot, which has been developed as a plug-in for Rational Rose, a leading UML tool. The notation and tool address a specific gap in UML – the inability to model user interaction

Crop Pests and Predators Exhibit Inconsistent Responses to Surrounding Landscape Composition

The idea that noncrop habitat enhances pest control and represents a win–win opportunity to conserve biodiversity and bolster yields has emerged as an agroecological paradigm. However, while noncrop habitat in landscapes surrounding farms sometimes benefits pest predators, natural enemy responses remain heterogeneous across studies and effects on pests are inconclusive. The observed heterogeneity in species responses to noncrop habitat may be biological in origin or could result from variation in how habitat and biocontrol are measured. Here, we use a pest-control database encompassing 132 studies and 6,759 sites worldwide to model natural enemy and pest abundances, predation rates, and crop damage as a function of landscape composition. Our results showed that although landscape composition explained significant variation within studies, pest and enemy abundances, predation rates, crop damage, and yields each exhibited different responses across studies, sometimes increasing and sometimes decreasing in landscapes with more noncrop habitat but overall showing no consistent trend. Thus, models that used landscape-composition variables to predict pest-control dynamics demonstrated little potential to explain variation across studies, though prediction did improve when comparing studies with similar crop and landscape features. Overall, our work shows that surrounding noncrop habitat does not consistently improve pest management, meaning habitat conservation may bolster production in some systems and depress yields in others. Future efforts to develop tools that inform farmers when habitat conservation truly represents a win–win would benefit from increased understanding of how landscape effects are modulated by local farm management and the biology of pests and their enemies

Inhibition of the Progesterone Nuclear Receptor during the Bone Linear Growth Phase Increases Peak Bone Mass in Female Mice

Augmentation of the peak bone mass (PBM) may be one of the most effective interventions to reduce the risk of developing osteoporosis later in life; however treatments to augment PBM are currently limited. Our study evaluated whether a greater PBM could be achieved either in the progesterone nuclear receptor knockout mice (PRKO) or by using a nuclear progesterone receptor (nPR) antagonist, RU486 in mice. Compared to their wild type (WT) littermates the female PRKO mice developed significantly higher cancellous and cortical mass in the distal femurs, and this was associated with increased bone formation. The high bone mass phenotype was partially reproduced by administering RU486 in female WT mice from 1–3 months of age. Our results suggest that the inhibition of the nPR during the rapid bone growth period (1–3 months) increases osteogenesis, which results in acquisition of higher bone mass. Our findings suggest a crucial role for progesterone signaling in bone acquisition and inhibition of the nPR as a novel approach to augment bone mass, which may have the potential to reduce the burden of osteoporosis

Crop pests and predators exhibit inconsistent responses to surrounding landscape composition

The idea that noncrop habitat enhances pest control and represents a win–win opportunity to conserve biodiversity and bolster yields has emerged as an agroecological paradigm. However, while noncrop habitat in landscapes surrounding farms sometimes benefits pest predators, natural enemy responses remain heterogeneous across studies and effects on pests are inconclusive. The observed heterogeneity in species responses to noncrop habitat may be biological in origin or could result from variation in how habitat and biocontrol are measured. Here, we use a pest-control database encompassing 132 studies and 6,759 sites worldwide to model natural enemy and pest abundances, predation rates, and crop damage as a function of landscape composition. Our results showed that although landscape composition explained significant variation within studies, pest and enemy abundances, predation rates, crop damage, and yields each exhibited different responses across studies, sometimes increasing and sometimes decreasing in landscapes with more noncrop habitat but overall showing no consistent trend. Thus, models that used landscape-composition variables to predict pest-control dynamics demonstrated little potential to explain variation across studies, though prediction did improve when comparing studies with similar crop and landscape features. Overall, our work shows that surrounding noncrop habitat does not consistently improve pest management, meaning habitat conservation may bolster production in some systems and depress yields in others. Future efforts to develop tools that inform farmers when habitat conservation truly represents a win–win would benefit from increased understanding of how landscape effects are modulated by local farm management and the biology of pests and their enemies

Using attachment theory and social support theory to examine and measure pets as sources of social support and attachment figures

Companion animals are increasingly being recognized by society as beneficial to our health and considered by many owners as authentic and affectional family members. Human relationship theories help us to understand the emotional and supportive aspect of the human– companion animal bond. This study uses attachment theory, social support theory, and the concept of the hierarchical nature of attachment relationships to further understand and measure human–animal attachment. In study 1,161 university-student pet owners completed a modified multidimensional scale of perceived social support (MSPSS) that included pets as a source of support, and we pre-tested a 60-item pet attachment measure. Results showed that students perceived their pets as distinctive sources of social support, at similar levels to their significant others, family, and friends. Principal components analysis of the 60-item measure reduced it to 31 items, and revealed four pet attachment components: (a) Proximity maintenance and interaction, (b) Emotional attachment behaviors, (c) Emotional support given and received, and (d) Emotional and monetary value. The scale was named the Emotional and Supportive Attachment to Companion Animals Scale (ESACA) (Cronbach’s α = 0.96). In study 2, 83 university students completed an attachment hierarchy scale and the ESACA. Companion animals were included in pet owners’ attachment hierarchies and ranked higher than siblings but lower than romantic partners, parents, and close friends. Those who indicated higher attachment to their companion animals ranked them higher in their attachment hierarchy than those less attached. This study supports and extends previous research that has used aspects of attachment theory and social support theory when exploring the human–animal bond. Many companion animal owners perceive their pets as additional sources of emotional support, fulfilling the four features of an attachment relationship and including them in their hierarchy of important attachment relationships

Exploring mHealth as a New Route to Bridging the Nursing Theory-Practice Gap

The purpose of this poster is to discuss the use of mHealth as a tool for research and development of nursing theories. Mobile health (mHealth) is one of the most promising new advances in healthcare technology. mHealth is defined as the use of mobile technology in the provision of healthcare delivery or health promotion (Qiang, Yamamichi, Hausman, & Altman, 2011). The need for innovative and effective interventions for the prevention and management of chronic illness is evident. The use of mHealth interventions in the treatment and monitoring of chronic illness is still young but shows great promise. Currently the public health and psychological sciences are using their theories to guide interventional studies by operationalizing concepts through mHealth’s multi-faceted capabilities for patient interaction. Outcomes measures from chronic illness-mHealth studies are thematically evaluated by using theoretical nursing outcome-related concepts of Meleis’ Transitions theory and Mishel’s Uncertainty in Illness theory. Despite a small number of articles available for review, there are strong themes of activation and engagement of the patient through mHealth. The application of nursing theory in mHealth offers a new method to operationalize theoretical concepts, test theory-based interventions, and gain new contextual insight into the health-illness patient experience