Environmental attitudes towards wine tourism

Wine tourism marketers frequently seek new ways to promote destinations, often executing ecologically sustainable practices. As consumer environmental knowledge of a wine tourism destination increases, consumer attitudes change, influencing perceptions of the environmental policies of a wine region. In this consumer-driven economy, it is therefore important to search for effective ways to market destinations, and one approach is selective marketing. By focusing on consumers in this manner, it is possible to understand better their concerns and motivations, which should aid in marketing and advertising efforts. This study investigated wine consumers environmental concerns and attitudes about wine regions. Results suggest environmental attitudes differed by demographics regarding the impact of wine tourism, providing ideas on further marketing efforts for those involved in wine tourism

Using Primates as a Flagship Species in Marketing Campaigns: Effects on Proenvironmental Attitudes and Behavioral Intentions

Shade coffee plantations grow coffee under a canopy of trees and provide alternative habitats for many bird and primate species, known as agroecosystems, particularly in Latin America. The aim of the current project was to better educate the public about shade plantations and the positive effects they can have on conservation for primates. In addition, marketing tactics such as the presence of a shade plantation certification label and howler monkey images were assessed for their effects on consumer purchasing intentions as well as participant support for biodiversity and sustainability. Participants were recruited through the Department of Psychology’s research system at Central Washington University and through Facebook and Twitter social media platforms. Subjects viewed coffee bags with variations in howler monkey images and a Smithsonian certification label prior to answering questions about their attitudes on biodiversity, sustainability, subjective norming, and behavioral intentions. For university students, an image of a single howler monkey had a significant effect on biodiversity attitudes compared to no howler monkey image but neither the howler monkey image nor the Smithsonian certification label influenced sustainability, subjective norming, or behavioral intentions. The combined prior knowledge of primates, primate habitats, howler monkeys, biodiversity loss, sustainability standards, labels, and shade coffee plantations significantly influenced biodiversity, sustainability, subjective norming, and behavioral intentions in university students. These findings indicate that prior knowledge about a subject is more powerful than acute manipulations or marketing strategies presented to an audience

Performance Analysis of Angle of Arrival Algorithms Applied to Radiofrequency Interference Direction Finding

Radiofrequency (RF) interference threatens the functionality of systems that increasingly underpin the daily function of modern society. In recent years there have been multiple incidents of intentional RF spectrum denial using terrestrial interference sources. Because RF based systems are used in safety-of-life applications in both military and civilian contexts, there is need for systems that can quickly locate these interference sources. In order to meet this need, the Air Force Research Laboratory Weapons Directorate is sponsoring the following research to support systems that will be able to quickly geolocate RF interferers using passive angle-of-arrival estimation to triangulate interference sources. This research studies the performance of angle-of arrival (AoA) estimation algorithms for an existing uniform linear antenna array. Four algorithms are presented, they are phase-shift beamforming, Capon or Minimum Variance Distortionless Response (MVDR) beamforming, the Multiple Signal Identification and Classification (MUSIC) algorithm, and one instantiation of a Maximum Likelihood Estimation (MLE) algorithm. A modeling and simulation environment using MATLAB™ is developed and the performance of each algorithm is simulated as implemented on a uniform linear array. Performance is characterized under various non-ideal conditions

Clique decompositions of multipartite graphs and completion of Latin squares

Our main result essentially reduces the problem of finding an edge-decomposition of a balanced r-partite graph of large minimum degree into r-cliques to the problem of finding a fractional r-clique decomposition or an approximate one. Together with very recent results of Bowditch and Dukes as well as Montgomery on fractional decompositions into triangles and cliques respectively, this gives the best known bounds on the minimum degree which ensures an edge-decomposition of an r-partite graph into r-cliques (subject to trivially necessary divisibility conditions). The case of triangles translates into the setting of partially completed Latin squares and more generally the case of r-cliques translates into the setting of partially completed mutually orthogonal Latin squares.Comment: 40 pages. To appear in Journal of Combinatorial Theory, Series

A Relationship of Wine Ratings and Wholesale Pricing, Vintage, Variety, and Region

Wine reviews, such as those from Wine Spectator and other consumer publications, help drive wine sales. The researchers in this study utilized standardized wholesale “line pricing” from a major wholesale distributor in the Southwest to compare pricing to the ratings published by Wine Spectator and to determine whether there were any correlations among other key attributes of the wine. The study produced interesting results, including that the wholesale price and vintage of a wine are significant in the prediction of the wine’s rating

Using intervention mapping to develop a culturally appropriate intervention to prevent childhood obesity: the HAPPY (Healthy and Active Parenting Programme for Early Years) study.

INTRODUCTION: Interventions that make extensive use of theory tend to have larger effects on behaviour. The Intervention Mapping (IM) framework incorporates theory into intervention design, implementation and evaluation, and was applied to the development of a community-based childhood obesity prevention intervention for a multi-ethnic population. METHODS: IM was applied as follows: 1) Needs assessment of the community and culture; consideration of evidence-base, policy and practice; 2) Identification of desired outcomes and change objectives following identification of barriers to behaviour change mapped alongside psychological determinants (e.g. knowledge, self-efficacy, intention); 3) Selection of theory-based methods and practical applications to address barriers to behaviour change (e.g., strategies for responsive feeding); 4) Design of the intervention by developing evidence-based interactive activities and resources (e.g., visual aids to show babies stomach size). The activities were integrated into an existing parenting programme; 5) Adoption and implementation: parenting practitioners were trained by healthcare professionals to deliver the programme within Children Centres. RESULTS: HAPPY (Healthy and Active Parenting Programme for Early Years) is aimed at overweight and obese pregnant women (BMI > 25); consists of 12 × 2.5 hr. sessions (6 ante-natal from 24 weeks; 6 postnatal up to 9 months); it addresses mother's diet and physical activity, breast or bottle feeding, infant diet and parental feeding practices, and infant physical activity. CONCLUSION: We have demonstrated that IM is a feasible and helpful method for providing an evidence based and theoretical structure to a complex health behaviour change intervention. The next stage will be to assess the impact of the intervention on behaviour change and clinical factors associated with childhood obesity. The HAPPY programme is currently being tested as part of a randomised controlled feasibility trial

Sea Level at Port Leopold, N.W.T. in 1848

Forty-seven days of hourly sea level and atmospheric pressure data collected in 1848 at Port Leopold, N.W.T., are analyzed using modern time series computation techniques. Tidal analysis reveals a mixed tide but mainly semi-diurnal. A detailed analysis of the tidal data reveals that the time-keeping of the record was as good as today's standard. A high correlation between hourly sea level and atmospheric pressure data demonstrates the inverse barometric effect.Key words: Arctic, sea level, tide, ice cover, free oscillation, lowpass, scatter diagram, time series, Resolute, Port LeopoldMots clés: Arctique, Niveau de la mer, marée, couvert de glace, oscillation libre, goulet, diagramme de dispersion, series chronologiques, Resolute, Port Léopol

Post-selection-free preparation of high-quality physical qubits

Rapidly improving gate fidelities for coherent operations mean that errors in state preparation and measurement (SPAM) may become a dominant source of error for fault-tolerant operation of quantum computers. This is particularly acute in superconducting systems, where tradeoffs in measurement fidelity and qubit lifetimes have limited overall performance. Fortunately, the essentially classical nature of preparation and measurement enables a wide variety of techniques for improving quality using auxiliary qubits combined with classical control and post-selection. In practice, however, post-selection greatly complicates the scheduling of processes such as syndrome extraction. Here we present a family of quantum circuits that prepare high-quality |0> states without post-selection, instead using CNOT and Toffoli gates to non-linearly permute the computational basis. We find meaningful performance enhancements when two-qubit gate fidelities errors go below 0.2%, and even better performance when native Toffoli gates are available.Comment: Source code and data behind this paper can be found at https://github.com/riverlane/purification-without-post-selectio