Influence of store attributes on shopping intentions in factory outlet malls

This paper examines the effect of eight types of consumer decision-making styles and shopping behaviour on future shopping intentions at factory outlet malls. Results indicate that six out of eight decision-making styles are positively related of future shopping intentions. Conclusions drawn from the current study's findings and their implications for consumer decision-making and shopping behaviour are discussed

Mindful Eating: Trait and State Mindfulness Predict Healthier Eating Behavior

Obesity and excess weight are significant societal problems. Mindfulness may encourage healthier weight and eating habits. Across four studies, we found a positive relation between mindfulness and healthier eating. Trait mindfulness was associated with less impulsive eating, reduced calorie consumption, and healthier snack choices. In addition, we found a causal effect of mindfulness on healthier eating. An experimental manipulation of state mindfulness led participants to consume fewer calories in a spontaneous eating task. We also found preliminary evidence that mindfulness affects eating behavior by encouraging attitudinal preferences for healthier foods. Taken together, these results provide strong evidence that mindfulness encourages healthier eating, even in the absence of specific instruction in mindful eating. These results suggest that generic mindfulness-based strategies could have ancillary benefits for encouraging healthier eating behavior

When and why people misestimate future feelings: Identifying strengths and weaknesses in affective forecasting.

People try to make decisions that will improve their lives and make them happy, and to do so, they rely on affective forecasts-predictions about how future outcomes will make them feel. Decades of research suggest that people are poor at predicting how they will feel and that they commonly overestimate the impact that future events will have on their emotions. Recent work reveals considerable variability in forecasting accuracy. This investigation tested a model of affective forecasting that captures this variability in bias by differentiating emotional intensity, emotional frequency, and mood. Two field studies examined affective forecasting in college students receiving grades on a midterm exam (Study 1, N = 643), and U.S. citizens after the outcome of the 2016 presidential election (Study 2, N = 706). Consistent with the proposed model, participants were more accurate in forecasting the intensity of their emotion and less accurate in forecasting emotion frequency and mood. Overestimation of the effect of the event on mood increased over time since the event. Three experimental studies examined mechanisms that contribute to differential forecasting accuracy. Biases in forecasting intensity were caused by changes in perceived event importance; biases in forecasting frequency of emotion were caused by changes in the frequency of thinking about the event. This is the first direct evidence mapping out strengths and weaknesses for different types of affective forecasts and the factors that contribute to this pattern. (PsycINFO Database Record (c) 2019 APA, all rights reserved)

Reversal of severe autoimmune diabetes at the stem cell level by bone marrow-derived endothelial progenitors

This poster presents the process for treating severe autoimmune diabetes in mice through the use of bone marrow-derived endothelial cells

Diffusion and Binding of Radio-Labeled Antibodies in a Tumor

With the decreasing cost of monoclonal antibody production, radioimmunotherapy (RIT) has rapidly emerged as one of the more promising methods of treating cancer cells. RIT makes use of radio-labeled monoclonal antibodies to detect and deliver controlled doses of radiation to malignant cells. The primary advantage of this method is that damage to normal, healthy tissue is minimized. We investigated the use of radio-labeled antibodies as a method of tumor destruction. Our primary interests were the rate of antibody diffusion into the tumor, the antibody binding kinetics, and the overall effectiveness of radioimmunotherapy given the rate of radioactive decay. By modeling the concentration of bound antibody with respect to time, we were able to optimize tumor destruction while minimizing the damage to the surrounding tissue. Our results show that a computer simulation using FIDAP is a time-saving, cost-effective method of obtaining quantitative results about the binding kinetics of antibody to tumor. In addition, we determined that while the binding specificity plays an important role in ensuring proper binding to the tumor, the rate of antibody to antigen complex formation does not affect the treatment and that this process is limited by diffusion. Given this fact, we recommend that low molecular weight antibodies be used because they will typically have higher diffusivities. In an example case of metastatic melanoma, we found that 4.33 mg of 188Re-6D2 complex would destroy the tumor in our model

Influence of Store Attributes On Shopping Intentions in Factory Outlet Malls

This paper examines the effects of eight types of consumer decision-making styles and shopping behaviour on future shopping intentions at factory outlet malls. Results indicate that six out of eight decision-making styles are positively related to future shopping intentions. Conclusions drawn from the current study’s findings and their implications for consumer decision-making and shopping behaviour are discussed.

Reducing Round Complexity of Byzantine Broadcast

Byzantine Broadcast is an important topic in distributed systems and improving its round complexity has long been a focused challenge. Under honest majority, the state of the art for Byzantine Broadcast is 10 rounds for a static adversary and 16 rounds for an adaptive adversary. In this paper, we present a Byzantine Broadcast protocol with expected 8 rounds under a static adversary and expected 10 rounds under an adaptive adversary. We also generalize our idea to the dishonest majority setting and achieve an improvement over existing protocols

Antimicrobial properties and cytotoxicity of sulfated (1,3)-β-D-glucan from the mycelium of the mushroom Ganoderma lucidum

Ganoderma lucidum BCCM 31549 has a long established role for its therapeutic activities. In this context, much interest has focused on the possible functions of the (1,3)-β-D-glucan (G) produced by these cultures in a stirred-tank bioreactor and extracted from their underutilized mycelium. In the existing study, we report on the systematic production of G, and its sulfated derivative (GS). The aim of this study was to investigate the G and its GS from G. lucidum in terms of antibacterial properties, and cytotoxicity spectrum against Human-Prostate-Cell (PN2TA) and Human-Caucasian-Histiocytic-Lymphoma (U937). (1)H NMR for both G and GS compounds showed β-glycosidic linkages and structural similarities when compared with two standards (Laminarin and Fucoidan). The existence of characteristic absorptions at 1,170 and 867 cm(-1) in the FTIR for GS demonstrated the successful sulfation of G. Only GS exhibited antimicrobial activity against a varied range of test bacteria of relevance to foodstuffs and human health. Moreover, both G and GS did not show any cytotoxic effects on PN2TA cells, thus helping demonstrate the safety on these polymers. Also, GS shows 40% antiproliferation against cancerous U937 cells at low concentration (60 µg/mL) applied in this study compared to G (10%). Together, this demonstrates that sulfation clearly improved the solubility and therapeutic activities of G. The water-soluble GS demonstrates the potential multi-functional effects of these materials in foodstuffs

Men Are More Likely to Be Homeless Than Women

Gender has an impact on people with mental illnesses. Men are more likely to be homeless than women. More social support needs to be provided to members of both gendersYork's Knowledge Mobilization Unit provides services and funding for faculty, graduate students, and community organizations seeking to maximize the impact of academic research and expertise on public policy, social programming, and professional practice. It is supported by SSHRC and CIHR grants, and by the Office of the Vice-President Research & Innovation. [email protected] www.researchimpact.c