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    Exploring New Zealand consumer affective and sensory responses of no and low (NOLO) alcohol Wines in a realistic consumption setting
    (Wiley, 2026-06-30) Xuan KNP; Hort J; Diako C; Dupas de Matos A
    Declining alcohol consumption both in New Zealand and globally has increased interest in no- and low-alcohol (NOLO) wines; however, limited research has examined how alcohol level influences consumer responses. This study investigated how alcohol content (0%, 6%, and 13%) affected such responses for Pinot Gris, Sauvignon Blanc, and Merlot. Participants (n = 172) evaluated nine samples in a digitally recreated wine bar, rating liking, emotions, sensory attributes, and willingness to purchase and pay. Results showed that 6% white wines received higher liking and purchase intent, driven by fruity, floral, smooth attributes, and positive emotions. Merlot maintained perceived value across reduced versions, reflecting its structural complexity. Motivational factors such as driving and avoiding hangovers influenced NOLO consumption, while barriers included perception that “wine without alcohol” lacks purpose. Findings highlight the importance of varietal-specific consideration in sensory optimization, as well as realistic testing environments to support market growth of NOLO wines.
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    Experiments on entrainment and mixing in particle-driven gravity currents
    (Cambridge University Press, 2026-09-10) Tonoyama S; Woods A
    New experiments with particle-driven, finite-volume gravity currents show that some of the ambient fluid displaced up and over the head of the current becomes mixed into the current. Measurements show that this leads to an increase in volume of the current at a similar rate to that in a single-phase current. Experiments also show that particles gradually settle from the top surface of the current, releasing fluid from the current. Eventually, this begins to dominate the entrainment through the head, and the volume of the current then decreases. Meanwhile, particles continuously sediment from the base of the flow, reducing the particle load. A simplified integral box model is developed to illustrate the evolving balance between these processes as a function of S0, the ratio of the current speed, based on the initial buoyancy, to the particle fall speed, for 30 < S0 < 300. The model combines the entrainment law proposed by Sher and Woods (J. Fluid Mech., 2015, vol. 784, pp. 130–162) for single-phase gravity currents, the sedimentation law proposed by Bonnecaze et al. (J. Fluid Mech., 1993, vol. 250, pp. 339–369) for a constant-volume gravity current, and a new model for the release of fluid from the top surface of the current through particle settling. We show that the maximum volume of the current and the position of the nose when reaching this maximum volume both increase nearly linearly with S0. We discuss the importance of these results for particle-driven gravity currents, especially where the effects of fluid entrainment can lead to a change in fluid chemistry, promoting flocculation and hence sedimentation, or a change in fluid buoyancy through fluid–particle interaction.
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    The long-term effectiveness of a community-based tourism approach in Bolivia using the lens of community resilience : a thesis presented in partial fulfilment of the requirements for the degree of Master of International Development at Massey University, Palmerston North, New Zealand
    (Massey University, 2025) Hoey, Clare
    This study explores the factors that influence the long-term success of community-based tourism (CBT) projects in Bolivia and examines the degree to which CBT initiatives contribute to increased community resilience (CR). Adopting a community resilience lens, the research explores economic, social, cultural, environmental and structural indicators of resilience to investigate how participation in CBT projects impacts overall community resilience within communities. A qualitative approach was adopted, and primary data was collected through a grey literature analysis and semi-structured interviews with representatives from communities, NGOs, and tourism organisations involved in CBT within Bolivia. The data was coded and analysed using a thematic analysis in which the data was sorted by CBT success factors and the four potential indicators of CR to identify key patterns. Findings suggest that while CBT projects can strengthen community cohesion, cultural pride and aid in economic diversification, their long-term success may be constrained by structural and institutional weaknesses. Although many communities remained dependent on NGOs for technical support and funding, projects that integrated training, partnerships with external organisations and local leadership were found to be more resilient. This study concluded that CBT could serve as a valuable pathway for strengthening CR when supported by consistent policy frameworks, long-term training and supportive governance structures. However, without addressing systemic issues such as limited infrastructure and institutional dependence, the potential of CBT to achieve enduring resilience remains restricted.
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    Operationalising neuroinclusive work systems: A multi-method framework for organisational research
    (Elsevier, 2026-08-19) Tootell B; Rao V
    Research on neurodiversity in employment has expanded rapidly, but organisational studies remain fragmented across employee experiences, accommodation practices and recruitment initiatives. The absence of a standardised method for operationalising neuroinclusive work systems limits comparison, replication and cumulative theory development. This article addresses that gap by presenting a replicable four-phase framework integrating conceptual synthesis, longitudinal panel modelling, organisational multilevel analysis and experimental recruitment simulation.This article presents a multi-method research framework for operationalising neuroinclusive work systems in organisational research. The framework integrates four complementary methodological components: conceptual synthesis, longitudinal panel modelling, organisational multilevel analysis, and experimental recruitment simulation. Drawing on HRM systems theory and the Job Demands–Resources (JD-R) framework, the method enables researchers to examine how organisational systems generate demand-resource environments that influence employee wellbeing, job satisfaction, retention, and earnings outcomes. The framework is designed for replication across publicly available panel datasets, linked employer–employee datasets, and controlled recruitment experiments. This article provides procedural guidance for implementing the framework and demonstrates how triangulation across methods strengthens inference regarding work accessibility.