Residents’ Perceptions of Sustainable Tourism Destination Recovery: The Case of Northern Cyprus

As nations and tourism destinations are beginning to relax nonpharmaceutical measures for the prevention of the COVID-19 virus, a major quest of tourism stakeholders is to restart and restore the once viable and productive industry to its prior state. While the urge to restart and restore may necessitate a strategic plan and drastic measures, care must be taken not to undermine the sustainability of the destination. The current study seeks to understand the perceptions of residents of Northern Cyprus as key tourism stakeholders concerning the impacts of COVID-19 to the island’s tourism activities and recommendations for recovery post pandemic. To this end, the study used grounded theory and semistructured interviews to explore how residents perceive the contribution of focused advertisements and stakeholder engagement in the sustainable restoration of tourism activities post COVID-19 on the island. While divergent opinions were gathered, it can be inferred that stakeholders expect the implementation of strategic plans aided by focused advertisements to ensure the sustainability of their tourist destinations. Policy directions and academic contributions are also stated as requirements.

Constituent aspects of riverside isomorphic governance on the Ilha do Careiro (Amazonas, Brazil)

Understanding governance in rural communities in the state of Amazonas requires interdisciplinary knowledge, as understanding the network of political articulation involves a collection of knowledge. Despite the existence of numerous works related to this subject, an a prior state is presumed in the representation of the network of political articulation, which leads to an exacerbated role of the State, in the face of other forms of social organization. Hence, the objective of the article was to analyze the environmental governance in the São Francisco community, located on the Ilha do Careiro da Várzea, in the state of Amazonas. We built Venn diagrams of agriculture, fishing, and plant extractivism to achieve this. The evidence provided indicates that the existing governance in the studied community is an isomorphic governance, which is the materialization of organized molecular power, originating from the triumvirate correspondence between the activities developed on lands, in forests, and on waters.

The land shaping the people: A cultural look into a new land management scheme for South Wairarapa

<p>With this thesis bringing attention to the region of Wairarapa, it will show awareness to the significant cultural and biodiversity that this district holds that makes it such a rich place within Aotearoa, New Zealand. With two natural features sitting at their doorsteps, Lake Wairarapa and the Remutaka hillside, this region holds much to preserve and want to save. Maori culture holds countless values of the landscape that can be used to heal the land surrounding the lake, which in turn will heal the people living amongst it. These values are held with great appreciation in the culture, many believe all should live with these values for the land. This thesis will help in bringing the Te Aranga Maori design principles to the surface so more can live with the land naturally and not just on it. This research will explore how these design principles can be used in bringing the landscape back to its prior state, and working with natural interventions to bring wahi tapu into the land and its people. In dealing with the current challenges and goals that present generation live with to make Wairarapa one to grow in and with. These ideas can generate discussion to how people might live more sustainably with the use of natural systems in the landscape, to the production of natural products. It will also allow for more research topics to be produced from the older ways people used to live with the land. To show the diverse cultures present today, in how others could benefit from the ways and means they used to be. With dealing with present challenges and needs from today’s generation as we cannot ‘restore’ what once was, we have to ‘regenerate’ a new way of living, that is beneficial for all.</p>

The land shaping the people: A cultural look into a new land management scheme for South Wairarapa

<p>With this thesis bringing attention to the region of Wairarapa, it will show awareness to the significant cultural and biodiversity that this district holds that makes it such a rich place within Aotearoa, New Zealand. With two natural features sitting at their doorsteps, Lake Wairarapa and the Remutaka hillside, this region holds much to preserve and want to save. Maori culture holds countless values of the landscape that can be used to heal the land surrounding the lake, which in turn will heal the people living amongst it. These values are held with great appreciation in the culture, many believe all should live with these values for the land. This thesis will help in bringing the Te Aranga Maori design principles to the surface so more can live with the land naturally and not just on it. This research will explore how these design principles can be used in bringing the landscape back to its prior state, and working with natural interventions to bring wahi tapu into the land and its people. In dealing with the current challenges and goals that present generation live with to make Wairarapa one to grow in and with. These ideas can generate discussion to how people might live more sustainably with the use of natural systems in the landscape, to the production of natural products. It will also allow for more research topics to be produced from the older ways people used to live with the land. To show the diverse cultures present today, in how others could benefit from the ways and means they used to be. With dealing with present challenges and needs from today’s generation as we cannot ‘restore’ what once was, we have to ‘regenerate’ a new way of living, that is beneficial for all.</p>

Towards Establishing a Research Lineage via Identification of Significant Citations

Finding the lineage of a research topic is crucial for understanding the prior state of the art and advancing scientific displacement. The deluge of scholarly articles makes it difficult to locate the most relevant previous work. It causes researchers to spend a considerable amount of time building up their literature list. Citations play a crucial role in discovering relevant literature. However, not all citations are created equal. The majority of the citations that a paper receives provide contextual and background information to the citing papers. In those cases, the cited paper is not central to the theme of citing papers. However, some papers build upon a given paper, further the research frontier. In those cases, the concerned cited paper plays a pivotal role in the citing paper. Hence, the nature of citation the former receives from the latter is significant. In this work, we discuss our investigations towards discovering significant citations of a given paper. We further show how we can leverage significant citations to build a research lineage via a significant citation graph. We demonstrate the efficacy of our idea with two real-life case studies. Our experiments yield promising results with respect to the current state-of-the-art in classifying significant citations, outperforming the earlier ones by a relative margin of 20 points in terms of precision. We hypothesize that such an automated system can facilitate relevant literature discovery and help identify knowledge flow for a particular category of papers.

HybridTabNet: Towards Better Table Detection in Scanned Document Images

Tables in document images are an important entity since they contain crucial information. Therefore, accurate table detection can significantly improve the information extraction from documents. In this work, we present a novel end-to-end trainable pipeline, HybridTabNet, for table detection in scanned document images. Our two-stage table detector uses the ResNeXt-101 backbone for feature extraction and Hybrid Task Cascade (HTC) to localize the tables in scanned document images. Moreover, we replace conventional convolutions with deformable convolutions in the backbone network. This enables our network to detect tables of arbitrary layouts precisely. We evaluate our approach comprehensively on ICDAR-13, ICDAR-17 POD, ICDAR-19, TableBank, Marmot, and UNLV. Apart from the ICDAR-17 POD dataset, our proposed HybridTabNet outperformed earlier state-of-the-art results without depending on pre- and post-processing steps. Furthermore, to investigate how the proposed method generalizes unseen data, we conduct an exhaustive leave-one-out-evaluation. In comparison to prior state-of-the-art results, our method reduced the relative error by 27.57% on ICDAR-2019-TrackA-Modern, 42.64% on TableBank (Latex), 41.33% on TableBank (Word), 55.73% on TableBank (Latex + Word), 10% on Marmot, and 9.67% on the UNLV dataset. The achieved results reflect the superior performance of the proposed method.

David Mitchell’s Inefficiency

David Mitchell’s fiction provides an opportunity to reconsider the claims of modesty in the context of globalization. This chapter draws upon the arguments of the previous ones to put critical modesty to its most difficult test. Are minor achievements enough given the massive scale of planetary life and of urgent global problems facing humanity, not the least of which is environmental ruin? I argue that Mitchell’s novels directly face the problems of scaling that cast into doubt the place and function of the novel as a relevant cultural force in the twenty-first century and beyond. Mitchell’s work helps us to reconcile realism as a kind of modest speculation. Where the novel has long been understood as a form that easily scales from the local to the global, Mitchell emphasizes the discontinuity afforded by novelistic thinking. The efficient causality that has subtended literary realism aims to retroactively recreate the events that lead inevitably from the past to the future. Mitchell’s formal investment in discontinuity resists the tyranny of the inevitable by narrating moments of bifurcation in which a new possibility for action suddenly and unexpectedly emerges. Thus, his novels adopt an inefficient causality that give expression to the feeling that things might be different than they are, that inevitability (optimistic or pessimistic) is a dangerous trap. The challenge that Mitchell poses for himself and other novelists is to imagine a disposition modest enough to nurture and shepherd into being these moments of bifurcation when, by definition, there is nothing in the prior state that predicts them.

Implementation of a non-emergent medical transportation programme at an integrated health system

ObjectivesTo implement a unified non-emergency medical transportation (NEMT) service across a large integrated healthcare delivery network.MethodsWe assessed needs among key organisational stakeholders, then reviewed proposals. We selected a single NEMT vendor best aligned with organisational priorities and implemented this solution system-wide.ResultsOur vendor’s hybrid approach combined rideshares with contracted vehicles able to serve patients with equipment and other needs. After 6195 rides in the first year, we observed shorter wait times and lower costs compared with our prior state.DiscussionEssential lessons included (1) understanding user and patient needs, (2) obtaining complete, accurate and comprehensive baseline data and (3) adapting existing workflows—rather than designing de novo—whenever possible.ConclusionsOur implementation of a single-vendor NEMT solution validates the need for NEMT at large healthcare organisations, geographical challenges to establishing NEMT organisation-wide, and the importance of baseline data and stakeholder engagement.

HybridTabNet: Towards Better Table Detection in Scanned Document Images

Tables in the document image are one of the most important entities since they contain crucial information. Therefore, accurate table detection can significantly improve information extraction from tables. In this work, we present a novel end-to-end trainable pipeline, HybridTabNet, for table detection in scanned document images. Our two-stage table detector uses the ResNeXt-101 backbone for feature extraction and Hybrid Task Cascade (HTC) to localize the tables in scanned document images. Moreover, we replace conventional convolutions with deformable convolutions in the backbone network. This enables our network to detect tables of arbitrary layouts precisely. We evaluate our approach comprehensively on ICDAR-13, ICDAR-17 POD, ICDAR-19, TableBank, Marmot, and UNLV. Apart from the ICDAR-17 POD dataset, our proposed HybridTabNet outperforms earlier state-of-the-art results without depending on pre and post-processing steps. Furthermore, to investigate how the proposed method generalizes unseen data, we conduct an exhaustive leave-one-out-evaluation. In comparison to prior state-of-the-art results, our method reduces the relative error by 27.57% on ICDAR-2019-TrackA-Modern, 42.64% on TableBank (Latex), 41.33% on TableBank (Word), 55.73% on TableBank (Latex + Word), 10% on Marmot, and 9.67% on UNLV dataset. The achieved results reflect the superior performance of the proposed method.