647 research outputs found
Sustainable ecotourism development and community involvement: a bibliometric analysis on research trends (2003 – 2024) / Reemina Narzary and Rajdeep Deb
No full textWith the growing focus and recognition of ecological preservation all over the world, the concept of ecotourism is becoming popular, but the challenges it brings to the sustainable development in environment cannot be neglected. Therefore, to resolve such challenges, there is a need to conduct a thorough examination of how this field is evolving along with the review of the extant literature in the field of ecotourism. Besides, there is also a need to discuss the key issues to determine future research directions. To achieve this, a bibliometric review is performed to assimilate knowledge from a total of 149 journal articles listed in the Scopus database and published between 2003 and 2024 to analyse. Moreover, this study uses scientometrics tool to conduct a systematic review of research and development on ecotourism. The analysis involves network visualization and scientific mapping analysis which was created using open-source data visualization tool called VOSviewer. The study attempts to bring light on three research streams in the field: sustainable tourism, ecotourism development, community-based tourism. Furthermore, this study provides theoretical recommendations for future researchers on study related to sustainable ecotourism development
Automatic eyeblink and muscular artifact detection and removal from EEG signals using k-nearest neighbor classifier and long hhort-term memory networks
No full textElectroencephalogram (EEG) is often corrupted with artifacts originating from sources such as eyes and muscles. Hybrid artifact removal methods often require human intervention for the adjustment of different parameters. We propose a robust method that can automatically detect and remove eyeblink and muscular artifacts from EEG using a k-nearest neighbor (kNN) classifier and a long short-term memory (LSTM) network. Our method adopts a sliding window of 0.5 s to detect and remove the artifacts from EEG. Features, such as the variance, peak-to-peak amplitude, and average rectified value, are calculated for each EEG segment to identify corrupted segments using the kNN classifier. The kNN classifier detects the presence of artifacts, after which the corresponding EEG window is forwarded to the LSTM network for artifact removal. The LSTM network is trained with the corrupted segments of 0.5 s as input and clean segments of 0.5 s as output. Our method achieved an accuracy of 97.4% in identifying corrupted EEG segments and an average correlation coefficient, structural similarity, signal-to-artifact ratio, and normalized mean squared error of 0.69, 0.76, 1.52 dB, and 0.0013, respectively, in cleaning the EEG. Our results outperformed other hybrid methods reported in the literature based on a combination of ensemble empirical mode decomposition and canonical correlation analysis, a combination of independent component analysis and wavelet decomposition, and tensor decomposition. The mean absolute error of our method is also better in comparison to other methods. Our method can be applied to single and multiple channels and does not require any tuning of parameters
The impact of travel constraints on travel intention among tourists in a destination: a case study of Mizoram / Rajdeep Deb, Himanshu Bhusan Rout and Reemina Narzary
No full textOver the years, the tourism and hospitality industry in Mizoram has been fairly affected by the perceived travel constraints. Though showing interests, many tourists are too reluctant to travel. Therefore, comprehending how travel constraints influence tourists’ travel intention to Mizoram is pivotal for enhancing the attractiveness of Mizoram as a potential tourist destination. The current study sought to examine the relationship between travel constraints and travel intention of individuals having no prior experience of travelling to Mizoram. The study identified four underlying travel constraints namely interpersonal travel constraints, structural travel constraints, intrapersonal travel constraints, and unfamiliar cultural constraints from the literature and pursued them in the context of Mizoram. Drawing upon 201 respondents, this study concludes that all the travel constraints influence tourists’ travel intention to Mizoram negatively and significantly. Among these constraints, structural travel constraints seem to be the constraints with strongest impact on the travel intention. Relatively limited research has tried to address the relationship between travel constraints and intention to travel. Also, this study is first of its kind offering empirical support showing how travel constraints impact tourists’ travel intention to Mizoram
Lesbian Radio, August 15 2012
No full textHost Deb Gallagher talks again with Leela Sinha, author of You’re Not Too Much: Intensive Lies in an Expansive World, about the fundamentals of good communication.https://digitalcommons.usm.maine.edu/wmpg_lesbianradio/1002/thumbnail.jp
Lesbian Radio, June 20 2012
No full textHost Deb Gallagher talks with Leela Sinha, author of You’re Not Too Much: Intensive Lies in an Expansive World, about the fundamentals of good communication.https://digitalcommons.usm.maine.edu/wmpg_lesbianradio/1001/thumbnail.jp
Herbalist Deb Soule, author of The Roots of Healing: A Woman\u27s Book of Herbs,
No full textHerbalist Deb Soule, author of The Roots of Healing: A Woman\u27s Book of Herbs, founded Avena Botanicals of Rockland ten years ago. Avena Botanicals, perhaps the largest herbal apothecary in the Northeast, grows or gathers around 60 percent of the raw plant materials used in producing herbal extracts, oils, salves and teas. The Shaker Community of Sabbath Day Lake has an herbal tradition that is 200 years old, and the herb department is the Shakers\u27 largest industry. Pol Hermes of Dayton, Gail Edwards of Athens and Betty Chase of Falmouth are other Mainers who use herbs. Details
Increasing fuel resilience to survive Cascadia
No full textprepared by Oregon Seismic Safety Policy Advisory Commission, Working Group on CEI Hub Mitigation Strategies ; production writer: Laura Hall ; production assistant: Deb Schueller.Title from PDF cover (viewed on January 15, 2020)."OSSPAC Publication Number 19-01."This archived document is maintained by the State Library of Oregon as part of the Oregon Documents Depository Program. It is for informational purposes and may not be suitable for legal purposes.Includes bibliographical references (pages 31-32).Mode of access: Internet from the Oregon Government Publications Collection.Text in English
Numerical modeling of fluid injection induced shear failure, tensile opening and flow-mechanics coupling
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Graduate medical education in 2030 (Podcast)
No full textIn the June issue of the Journal of Graduate Medical Education, an editorial explores what graduate medical education will look like in 2030. In this episode, JGME deputy editor, Deb Simpson, speaks with physician, educator, and author, James Woolliscroft, about the future of graduate medical education, especially in the wake of the COVID-19 pandemic. They discuss the roles of the DIO, program director, and faculty as well as the impact of technology on the medical education system
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