The retail gardening industry in the United States is expected to reach $50 billion by 2023, and it is a significant driver of the agricultural economy. To meet the corresponding demand for information, consumer horticulture (CH) professionals will need to develop innovative digital outreach, research-based solutions, a concerted recruitment of youth, and enhanced collaborations. To understand the current gaps in CH research and the extent of the involvement of public gardens in CH, surveys were conducted among the two groups, CH/extension researchers and staff of public gardens. The results of the surveys were presented at the virtual conference of the American Society for Horticultural Science on 12 Aug. 2020 during a workshop hosted by the Consumer Horticulture and Master Gardener Professional Interest Group. The workshop included four presentations, and two of those are discussed in this paper: 1) research gaps in CH and 2) bridging the divide between CH and public gardens. Among researchers, even though there was a general understanding of CH, there was a disconnect in participants’ perceptions of the roles of CH in the economy and recreation. The greatest knowledge gap was in basic horticultural practices. Regarding public garden professionals, there needs to be a concerted effort to educate them about CH so they can provide a consistent message to their audiences and the general public.
Cancers that metastasize to the lungs represent a major challenge in both basic and clinical cancer research. Oncolytic viruses are newly emerging options but successful delivery and choice of appropriate therapeutic armings are two critical issues. Using an immunocompetent murine K7M2-luc lung metastases model, the efficacy of MYXV armed with murine LIGHT (TNFSF14/CD258) expressed under virus-specific early/late promoter was tested in an advanced later-stage disease K7M2-luc model. Results in this model show that mLIGHT-armed MYXV, delivered systemically using ex vivo pre-loaded PBMCs as carrier cells, reduced tumor burden and increased median survival time. In vitro, when comparing direct infection of K7M2-luc cancer cells with free MYXV vs. PBMC-loaded virus, vMyx-mLIGHT/PBMCs also demonstrated greater cytotoxic capacity against the K7M2 cancer cell targets. In vivo, systemically delivered vMyx-mLIGHT/PBMCs increased viral reporter transgene expression levels both in the periphery and in lung tumors compared to unarmed MYXV, in a tumor- and transgene-dependent fashion. We conclude that vMyx-mLIGHT, especially when delivered using PBMC carrier cells, represents a new potential therapeutic strategy for solid cancers that metastasize to the lung.
Online gaming involves a complex and multidimensional set of practices. This article proposes understanding online video gaming based on an interface-centred approach that goes beyond the classic study of the “graphic user interface”. In this theoretical and analytical framework, the interface is considered the place where human, institutional and technological actors relate to each other and different processes are carried out. The article draws the data from empirical research with teens carried out in eight countries. It analyses the teenagers’ online playing experience as an interface, understood as a ‘network of actors’ that goes beyond the single video gaming device (console, PC, etc.). This work also presents a map of actors, relationships and processes of the online video gaming interface, paying particular attention to the tensions and critical issues that arise, from a perspective that, in further studies, could be expanded to other practices.
The purpose of this study is to seek to investigate whether and how country of origin (COO) cues – category-country image (CCI) and typicality – and importers’ domain-specific innovativeness (DSI) influence importers’ propensity to the trial new value and premium products. Moreover, it aims to understand whether and how the relationship between the COO effect and industrial purchase intentions is moderated by importers’ propensity to innovate (DSI).
International importers completed a quantitative online survey. Factor analysis was used to summarize the latent constructs into orthogonal scores. General linear modeling was applied to the scores to test the hypotheses.
The results indicate that importers’ propensity to trial value products is directly influenced by CCI and importers’ DSI. For premium products, typicality has a positive effect on their propensity to trial. Also, CCI and DSI have positive effects on the trial of value products, and the effect is more pronounced than for premium products. Importers’ DSI positively moderates CCI in premium product trials, while it negatively moderates typicality in value products.
This research provides important managerial implications for practitioners seeking to increase foreign sales, strengthening importers’ product perceived value through COO cues. Exporters should distinguish between value and premium products and, in the selection of international channel partners, they must be attentive to importers’ personal characteristics, such as their propensity to innovate. Exporters selling value products should communicate CCI more clearly and, when targeting innovative importers, opt for atypical products instead of traditional ones. For premium products, which require more complex decisions, exporters should especially underscore product typicality and, with innovative importers, emphasize positive CCI.
By focusing on the two critical issues of product selection and price levels, this study’s original contribution is to emphasize that, for the same product category, in industrial purchasing decisions of value versus premium products, the COO effect can be different. It also highlights the importance of investigating the COO effect by concentrating on industrial buyers’ personal characteristics, here the DSI of importers, as moderating variables.
The presented Feature Papers reflect the diversity of the types of research performed on horticultural plant species, spanning from the basic to the applied, production systems, and postharvest studies, in addition to highlighting some critical issues facing horticultural plant species [...]
The sedimentation problem is one of the critical issues affecting the long-term use of rivers, and the study of sediment variation in rivers is closely related to water resource, river ecosystem and estuarine delta siltation. Traditional research on sediment variation in rivers is mostly based on field measurements and experimental simulations, which requires a large amount of human and material resources, many influencing factors and other restrictions. With the development of computer technology, intelligent approaches have been applied to hydrological models to establish small information in river areas. In this paper, considering the influence of multiple factors on sediment transport, the validity of predicting sediment transport combined with wavelet transforms and neural network was analyzed. The rainfall and runoff cycles are extracted and decomposed into time series sub-signals by wavelet transforms; then, the data post-processing is used as the neural network training set to predict the sediment model. The results show that wavelet coupled neural network model effectively improves the accuracy of the predicted sediment model, which can provide a reference basis for river sediment prediction.
AbstractThe analysis of the opinions of customers and users has been always of great interest in supporting decision-making in many fields, especially in marketing. Sentiment analysis (SA) is the umbrella term for techniques and approaches that analyze user’s sentiments, emotions, opinions in text or other media. The need for a better understanding of these opinions paved the way to novel approaches that focus on the analysis of the sentiment related to specific features of a product, giving birth to the field of aspect-based sentiment analysis (ABSA). Although the increasing interest in this discipline, there is still confusion regarding the basic concepts of ABSA: terms like sentiment, affect, emotion, opinion, are used as synonyms while they represent different concepts. This often leads to an incorrect analysis of the users’ opinions.This work presents an overview of the state-of-the-art techniques and approaches for ABSA, highlighting the main critical issues related to current trends in this field. Following this analysis, a new reference model for SA and ABSA, namely the KnowMIS-ABSA model, is proposed. The model is grounded on the consideration that sentiment, affect, emotion and opinion are very different concepts and that it is profoundly wrong to use the same metric and the same technique to measure them. Accordingly, we argue that different tools and metrics should be adopted to measure each of the dimensions of an opinion. A qualitative case study, regarding product reviews, is proposed to motivate the advantages of the KnowMIS-ABSA model.