How Perceived Privacy Risk Determines People’s Willingness to Use Online Fashion Technologies

The subjective perception of Risk, Security, and Privacy in using online platforms and technologies determines to a large extent customers’ behaviours on these platforms. Accordingly, in this applied research project we have empirically explored how procedural anonymity and privacy influence customers’ willingness to use an online fitting application for fashion. Moreover, we have developed a psychometric tool that captures the psycholog ical variables (e.g., trust, perceived privacy risk, perceived privacy control, and online self-disclosure behaviour) of using online fashion technology. Furthermore, we will report the psychological factors that predict customers’ willingness to use online technology for fashion (e.g., online fitting application)

Village Baseline Study: Site Analysis Report for Tra Hat Village, Vinh Loi, Bac Lieu, Viet Nam (VNM 03)

This report presents data collected from the Village Baseline Study conducted on 2-4 October 2014 at the Tra Hat village, Vinh Loi district, Bac Lieu, Vietnam. Data were collected through focus group discussions and participatory resource mapping with community members in the village. The Village Baseline Study is part of the baseline activities conducted under the CGIAR Research Program on Climate Change, Agriculture, and Food Security (CCAFS) in South East Asia. The purpose is to collect data for indicators that will allow site comparability and monitoring to assess changes in terms of food security and natural resource management across time. Results show that the men and women in Tra Hat village consider farmland, rivers and canals as important natural resources. The quality, however, of land, water and wildlife habitats has declined in the last decade along with the improvement of farming techniques and intensive use of chemical fertilizers and pesticides. Infrastructures such as roads, internal canals, hospitals, schools, water supply station and electricity transformer station have improved. The future is envisioned to have improved internal canals in farmlands and a developed irrigation system, dykes and sluices to support high agriculture production. Home garden diversification was also believed to enhance food security and improve livelihood resilience. To turn the vision into reality, the community expects support from the different organizations working in the area considering current impacts of salinity intrusion and sea level rise, the need interventions of CCAFS and its partners. Strengthening the irrigation system, improving local rice variety, and introducing modern farming techniques taking into account negative impacts of climate change are major recommendation for future intervention

Acute myeloid leukemia maturation lineage influences residual disease and relapse following differentiation therapy

Acute myeloid leukemia (AML) is a malignancy of immature progenitor cells. AML differentiation therapies trigger leukemia maturation and can induce remission, but relapse is prevalent and its cellular origin is unclear. Here we describe high resolution analysis of differentiation therapy response and relapse in a mouse AML model. Triggering leukemia differentiation in this model invariably produces two phenotypically distinct mature myeloid lineages in vivo. Leukemia-derived neutrophils dominate the initial wave of leukemia differentiation but clear rapidly and do not contribute to residual disease. In contrast, a therapyinduced population of mature AML-derived eosinophil-like cells persists during remission, often in extramedullary organs. Using genetic approaches we show that restricting therapy induced leukemia maturation to the short-lived neutrophil lineage markedly reduces relapse rates and can yield cure. These results indicate that relapse can originate from therapy resistant mature AML cells, and suggest differentiation therapy combined with targeted eradication of mature leukemia-derived lineages may improve disease outcome.Steven Ngo, Ethan P. Oxley, Margherita Ghisi, Maximilian M. Garwood, Mark D. McKenzie, Helen L. Mitchell, Peter Kanellakis, Olivia Susanto, Michael J. Hickey, Andrew C. Perkins, Benjamin T. Kile, Ross A. Dickin

Modeling Global-scale Data Marts Based on Federated Data Warehousing Application Framework

Data warehouses become large in size, dynamic, and physically distributed. In this context, federated data warehousing approach is a promising solution for specifying, designing, deploying as well as managing data marts and their data cubes. In this paper, the Federated Data warehousing Application (FDWA) framework has been used to specify global-scale data marts. To proof of our concepts, a global-scale analytical tool, namely GAINS-IAM (integrated assess model) will be presented as a case study to analyze recent trends and future world emission scenarios

Use of pineapple juice for elimination of egg stickiness of common carp (Cyprinus carpio L.)

Four treatments including three different concentrations of pineapple solution (I %, 3%, 5%) and the traditional method (salt/urea/tannin solutions) were used to eliminate egg stickiness of common carp. With the traditional method, fertilization and hatching rates were 74.5% &plusmn; 1.2 and 70.2% &plusmn; 1.1, respectively. The highest fertilization rate (89.3% &plusmn; 0.7) and hatching rate (86.6% &plusmn; 1.4) were found with treatment of 1% pineapple juice solution and was significantly different from those obtained with other treatments (P&lt;0.05). Using pineapple juice for desticking common carp eggs also reduced the time of egg handling from almost one hour required with the traditional method, to about three minutes, as well as increasing fertilization and hatching rate under hatchery conditions.<br /