4,223 research outputs found

    La Radiodiffusion au service du développement rural.

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    1. L'extension de la tribune radiophonique rurale à toute l'Inde / par B. P. Bhatt et P.V. Krishnamoorthy -- 2. La formation de spécialistes de la radiodiffusion rurale en Afrique / par Ram Marathey et Michel Bourgeois

    Symplectic Model Order Reduction in RBmatlab

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    An add-on to the open-source library RBmatlab (v1.16.09) which includes symplectic model reduction techniques that are discussed in the preprint Buchfink, P. & Bhatt, A. & Haasdonk, B.: Symplectic Model Order Reduction with Non-Orthonormal Bases (arXiv:1902.10523) In the preprint MATLAB revision 2017b was used.</p

    Erratum: Hybrid group recommendation using modified termite colony algorithm: A context towards big data (Journal of Physical Chemistry (2018) 17:2 (1850019) DOI: 10.1142/S0219649218500193)

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    We would like to make the following correction to this article. The third author a±liation should be read as follows: Chintan Bhatt U. & P. U. Patel Department of Computer Engineering Charotar University of Science and Technology Changa, Gujarat 388421, India [email protected]

    Influence of Mg substitution on structural, magnetic and dielectric properties of X-type barium–zinc hexaferrites Ba2Zn2-xMgxFe28O46

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    Mg substituted X–type hexagonal ferrites with the chemical composition Ba2Zn2-xMgxFe28O46 (x = 0.0, 0.4, 0.8, 1.2, 1.6 and 2.0) were successfully synthesised by a sol–gel auto–combustion technique, in order to investigate the effect of Mg substitution on structural, magnetic and dielectric properties. XRD analysis of prepared samples revealed the formation of pure X–type phase. The variations (decreasing trend) in lattice parameters with Mg substitution indicate the incorporation of Mg substitution into the crystal structure. The average crystallite size of heated powders was found to be in the range of 16–22 nm. For the first time, the RT hysteresis loops of Ba2Zn2Fe28O46 (Zn2X), Ba2Mg2Fe28O46 (Mg2X) and Ba2Zn2-xMgxFe28O46 (x = 0.0, 0.4, 0.8, 1.2, 1.6 and 2.0) were measured. The saturation magnetisation showed an initial decrease with x = 0.4 − 1.2, and then an increase with x &gt; 1.2, to the largest final values of 63.29 A m2 kg−1 for the fully Mg–substituted x = 2.0. The value of coercivity lies in the range of 89.9–209.3 kA m−1 (1130–2630 Oe), and the magnetic results suggest that the compositions x = 0.0, 0.4 and 1.2 possess multi-domain microstructures, while x = 0.8, 1.6 and 2.0 possess single domain microstructures. The room temperature Mӧssbauer spectra were analysed with six sextets of five magnetic sublattices, and the results are presented as a function of Mg substitution. It was found that initial levels of Mg substitution reduce the Fe populations at a and b (spin up) sublattices, but that with x &gt; 1.2 these become repopulated at fIV (spin down) site, resulting in an increase in magnetisation. Dielectric parameters such as dielectric constant and loss factor were studied as a function of frequency, and results show normal behaviour for ferrimagnetic materials. At low frequencies (100 Hz–2 MHz), relative permittivity was constant between 0.3 and 1.5 above 20 kHz, with the higher values belonging to the more dense samples. All Mg substituted samples had lower losses above 20 kHz than the pure Zn2X. In complex measurements at microwave frequencies (500 MHz–13.5 GHz), all samples had a real permittivity of around 7.5, except for the fully Mg–substituted sample (x = 2.0), which had a lower ε′ of 5.5. For two samples (x = 0.4 and 1.6) we observed dielectric resonances between 12.85 and 13.25 GHz. All showed a steady real permeability of around 1.2–1.5 over the whole 1–13 GHz range, and ferromagnetic resonance (FMR) between 1 and 5 GHz, and ∼12.5 GHz

    Recognition of Islanding and Operational Events in Power System with Renewable Energy Penetration Using a Stockwell Transform-Based Method

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    Integration of RE sources to the utility grid offers technical and operational challenges causing problems of PQ, stability, identification of operational events, etc. This article presents an algorithm to identify events including islanding, grid integration, and outage of the solar PV and WG plants in grid using a ST. Islanding event may occur in the presence of any kind of plant. Processing of negative sequence component of voltage is performed by utilizing ST based multiresolution analysis at the test node and the output matrix is evaluated. The features (F1-F4), VI and STD indexes are obtained from this matrix. These features are utilized for identifying the events and transient phenomenon. The VI and STD indexes are used to recognize the type of RE source present during the islanding and outage events. Moreover, for recognizing the type of RE source at the time of synchronization event, an SI is proposed. This is computed by the ST depended processing of voltage signals. Performance of the algorithm is found satisfactory for all incidence angles and complete voltage cycle under the noisy conditions of 10 dB SNR. As compared to the time-frequency transform based coefficients of the voltage signal, the proposed technique is found to be superior in terms of small NDZ and low computation time and least affected by noise. Further, the developed technique is also efficient to detect various events stated above and the type of RE source. Study is performed using MATLAB/Simulink software and validated in real time using RTDS

    Symplectic Model Order Reduction in RBmatlab

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    &lt;p&gt;An add-on to the open-source library &lt;a href="https://www.morepas.org/software/rbmatlab/"&gt;RBmatlab&lt;/a&gt; (v1.16.09) which includes symplectic model reduction techniques that are discussed in the preprint&lt;/p&gt; &lt;p&gt;Buchfink, P. &amp; Bhatt, A. &amp; Haasdonk, B.: Symplectic Model Order Reduction with Non-Orthonormal Bases (&lt;a href="https://arxiv.org/abs/1902.10523"&gt;arXiv:1902.10523&lt;/a&gt;)&lt;/p&gt; &lt;p&gt;In the preprint MATLAB revision 2017b was used.&lt;/p&gt;The new version is more performant since it computes the different decompositions (for the reduced-order basis construction) only once and reuses them

    Wildlife tourism in Chitwan National Park, Nepal: Unpacking visitors’ preferences and sentiments with TripAdvisor reviews

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    Introduction Wildlife tourism is an important component of nature-based tourism, which is a large and growing sector of global tourism (Gnanapala et al. 2017). It can generate revenue, contribute to local economies, and increase peoples’ appreciation of wildlife and its conservation (Gnanapala et al. 2017). To enhance the sustainability and competitiveness of wildlife tourism destinations it is important to understand tourists’ experiences including their preferences and satisfaction. Increasingly tourists share information about their experiences with wildlife and other types of tourism online including via social media (Teles da Mota and Pickering 2020), and review websites such as Trip Advisor. Such user generated content is often seen as more reliable by others than information provided by tourism organizations (Garay 2019). Researchers have started to evaluate online tourist created content, but mainly for tourism destinations in high-income countries (Teles da Mota and Pickering 2020). However, access to detailed low-cost data about visitor experiences can be even more valuable for low-income countries with popular wildlife tourism destinations, but where resources are limited (Bhatt and Pickering 2021, 2022). We use TripAdvisor reviews of Chitwan National Park in Nepal as a case study to explore how such online data could be used to understand tourists’ experiences. Elephants are important for tourism in the Park, both wild elephants and those in semi-captivity, some of which are used for elephant rides. Therefore, we assessed overall themes in tourist’s reviews, how they rated their experiences and the sentiments they expressed, including those talking about elephants. Methods Chitwan National Park is an UNESCO World Heritage Site, and the most popular nature-based tourism destination for domestic and international tourists in Nepal (Bhatt and Pickering 2022). Reviews for the Park from 2015 to 2021 were downloaded from TripAdvisor using the ‘Selenium’ tool in Python. This included the text of the reviews along with metadata such as home location of reviewer (if provided), date the review was posted, and their ratings of the Park on a scale of 1 to 5 (1 = terrible and 5 = excellent). Leximancer, a text analytics tool, was then used to identify major themes in the reviews and generate concept maps, while the VADER (Valence Aware Dictionary and sEntiment Reasoner) lexicon was used to analyse the sentiments expressed in the reviews using NLTK (Natural Language Toolkit) package in Python. This was done for all reviews, and then for just those that talked about elephants. The ratings and sentiments were then compared between reviews about elephants and others using Chi-squared tests in Excel. Results There were 399 reviews about the Park posted by tourists from 47 countries, with most tourist reviewers from the USA (57), India (53), UK (49), Nepal (36) or Australia (32). The reviews mainly focused on nature, wildlife, and tourism activities (Figure 1a). More than half the reviews (52.6%) talked about elephants including their welfare, such as how they were chained for long periods (Figure 1b). Most tourists rated the Park as excellent (58.1%), or very good (26.8%) and expressed positive sentiments (85.7%), but a few considered it average (8.5%), poor (2.3%) or terrible (4.3%) and expressed neutral (2.8%) or negative (11.5%) sentiments (Figure 1c). Those talking about elephants were less positive (82.9% vs 88.9%) or neutral (1.4% vs 4.2%) and expressed more negative sentiments (15.7% vs 6.9%) than other reviews (Chi-square = 9.996, p < 0.05). Rankings also differed with fewer excellent (54.3% vs 62.4%) or average (6.7% vs 10.6%) reviews, and more poor (3.8% vs 0.5%) or terrible (5.7% vs 2.6%) reviews about elephants than others (Figure 1d) (Chi-square = 11.081, p < 0.05). Figure 1: Results from the analysis of TripAdvisor reviews about Chitwan National Park: a) concept map of all reviews b) concept map of reviews about elephants, c) proportion of ratings and sentiments for all reviews, and d) proportions of ratings and sentiments for reviews about elephants. Discussion On TripAdvisor tourists described how they enjoyed many aspects of their visit to Chitwan National Park with generally high ratings and positive sentiments expressed in reviews. However, there was concern about the welfare of elephants including lower ratings and more negative sentiments in some reviews. This is of concern and could impact wildlife tourism in the Park, as elephants are one of the main attractions and there is growing concern about elephant welfare in tourism more generally (Gnanapala, et al. 2017). Further research into these reviews for the Park, but especially those for the Elephant Breeding Centre in the Park, are likely to provide additional insights including into visitor’s specific concerns regarding elephants in semi-captivity and elephant rides. References Bhatt, P., & Pickering C.M. (2021). Public perceptions about Nepalese National Parks: A global Twitter discourse analysis. Society and Natural Resources, doi: 10.1080/08941920.2021.1876193 Bhatt, P., & Pickering C.M. (2022). Destination image of Chitwan National Park, Nepal: Insights from a content analysis of online photographs. Journal of Outdoor Recreation and Tourism, 37, doi:10.1016/j.jort.2022.100488. Garay, L. (2019). Visitspain. Breaking down affective and cognitive attributes in the social media construction of the tourist destination image. Tourism Management Perspectives, 32, 100560. https://doi.org/10.1016/j.tmp.2019.100560 Gnanapala, A., Buultjens, J. and Ratnayake, I. (2017) Managing wildlife tourism in Sri Lanka: Opportunities and challenges. In: Fatima, J.K. (ed.) Wilderness of Wildlife Tourism. Apple Academic Press, Palm Bay, pp. 162–183. Teles da Mota, V., and Pickering, C.M. (2020). Using social media to assess nature-based tourism: Current research and future trends. Journal of Outdoor Recreation and Tourism. 30, 100295. https://doi.org/10/1016/j.jort.2020.100295.No Full Tex

    Pelopidas mathias

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    &lt;i&gt;Pelopidas mathias&lt;/i&gt; (Fabricius, 1798) &lt;p&gt;Small Branded Swift&lt;/p&gt; &lt;p&gt;Figure 8K&lt;/p&gt; &lt;p&gt; &lt;b&gt;Material examined.&lt;/b&gt; INDIA &bull; Gujarat, Bharuch district, Ankleshwar; transects T-01, T-02, T-03, T-08 (Table 1); agricultural hedges or barren/discarded lands.&lt;/p&gt; &lt;p&gt; &lt;b&gt;Identification.&lt;/b&gt; Resembles &lt;i&gt;Pelopidas agna&lt;/i&gt;, but lower central spots on upper forewing squarish, not linear; an imaginary straight line through two cell spots in male crosses brand near its midpoint; unlike &lt;i&gt;Pelopidas mathias&lt;/i&gt;, male brand is black; upper hindwing may be pale or spotted; five small spots usually present and one in cell, or none at all on under hindwing; grey patched in dryseason form on underside; female similar to &lt;i&gt;Pelopidas agna&lt;/i&gt; and &lt;i&gt;Pelopidas subochracea&lt;/i&gt;.&lt;/p&gt;Published as part of &lt;i&gt;Sidat, Azaz &amp; Bhatt, Urjit, 2020, Annotated checklist of butterflies of Ankleshwar-an industrial town in Gujarat, India, pp. 997-1015 in Check List 16 (4)&lt;/i&gt; on page 1012, DOI: 10.15560/16.4.99
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