91 research outputs found
PESAN DAKWAH DALAM PAGELARAN WAYANG WONG LAKON “DURGA RUWAT”
No full textBudaya Jawa dewasa ini dipandang sebelah mata di beberapa kalangan, entah hal tersebut disebut kuno atau sudah ketinggalan zaman. Namun yang perlu diketahui, ajaran Jawa memiliki nilai dakwah yang luar biasa. Penelitian ini berfokus pada isi pesan dakwah pementasan wayang wong yang mengambil tema ruwatan sudamala, dikemas dalam bentuk pegelaran, dengan lakon “Durga Ruwat”, yang dipentaskan di Lotus Garden, Desa Ketanon, Kecamatan Kedungwaru Kabupaten Tulungagung. Metode deskriptif kualitatif merupakan metode yang digunakan dalam peneltian tersebut, yang terfokus pada pesan dakwah yang tersirat didalam pegelaran tersebut. Berdasarkan hasil yang didapat, ajaran Islam dan Jawa memiliki kesinambungan atau kesamaan yang tidak jauh berbeda. Jauh sebelum agama masuk, masyarakat Jawa sudah mengenal ajaran Ketuhanan, yang dikenal dengan ajaran Sangkan Paraning Dumadi. Agama Islam masuk bertujuan untuk menyempurnakan ajaran Jawa, kemudian pendakwah pada saat itu melakukan akulturasi budaya, yaitu memadukan dakwah Islam, menggunakan media pewayangan. Cerita wayang pada saat itu sudah mengalami banyak perubahan, serta sudah disisipkan pesan dakwah Islam, ajaran pokok yang disisipkan yaitu, Akidah, Syariah, dan Akhlak
Risk-adjusted information content in option prices
No full textThere are many measures to price an option. This dissertation investigates a risk-adjusted measure to price the option with an alternative numeraire that retains the expected return of the underlying in the pricing equation. This model is consistent with the Black-Scholes model when their assumptions are imposed and is consistent with the standard capital asset pricing model. Unlike many asset pricing models that rely on historical data, we provide a forward-looking approach for extracting the ex ante return distribution parameters of the underlying from option prices. Using this framework and observing the market prices of options, we jointly extract implied return and implied volatility of the underlying assets for different days-to-maturity using a grid search method of global optima. Our approach does not use a preference structure or information about the market such as the market risk premium to estimate the expected return of the underlying asset. We find that when there are not many near-the-money traded options available our approach provides a better solution to forecast future volatility than the Black-Scholes implied volatility. Further, our results show that option prices reflect a higher expectation of stock return in the short-term, but a lower expectation of stock return in the long-term that is robust to many alternative tests. We further find that ex ante expected returns have a positive and significant cross-sectional relation with ex ante betas even in the presence of firm size, book-to-market, and momentum. The cross-sectional regression estimate of ex ante market risk premium has a statistical significance as well as an economic significance in that it contains significant forward-looking information on future macroeconomic conditions. Furthermore, in an ex ante world, firm size is still negatively significant, but book-to-market is also negatively significant, which is the opposite of the ex post results. Our risk-adjusted approach provides a framework for extraction of ex ante information from option prices with alternative assumptions of stochastic processes. In this vein, we provide a risk-adjusted stochastic volatility pricing model and discuss its estimation process.Ph.D.Includes abstractVitaIncludes bibliographical referencesby Durga Prasad Pand
Live-streaming the goddess in the times of COVID-19: A digital ethnography of diasporic Durga Puja festivals in pandemic Britain
No full textCopyright © 2022 The Author. Diasporic Durga Puja festivals in contemporary Britain have emerged as focal points in the religious lives of Hindu Bengalis. However, the public health measures introduced because of the COVID-19 pandemic made it impossible to host in-person indoor Durga Puja festivals in Britain in the autumn of 2020. In response, many UK-based Durga Puja organisers staged small-scale ritual worship of the goddess in private, and then livestreamed it to their members through social media. Based on participant observation of these festival livestreams and remote interviews with Durga Puja organisers from across Britain, in this article I demonstrate that far from being a rupture, these blended Durga Puja festivals mark a development in existing templates of mediatisation of religious practices and are part of the wider continuum of adaptations that characterise diasporic lived religion. I also reflect on how internal hierarchies within the diaspora played out vis-à-vis blended Pujas amidst the pandemic.Economic and Social Research Council (UK) Postdoctoral Fellowship (ESRC Grant Ref: ES/V011952/1)
Machine learning predicted magnetic entropy change using chemical descriptors across a large compositional landscape
No full textMagnetocaloric refrigeration has drawn considerable attention in the last few decades as it can positively disrupt the current cooling technology. Most research efforts focus on developing new magnetic materials in the laboratory by trial and error. Here we report a materials dataset developed using past experimental work comprising several important magnetocaloric material classes such as La(Fe,Si/Al)13, heusler alloys, manganites, Gd5(Si,Ge)4 family, rare-earth and metallic glasses as well as Laves phase compounds with their reported magnetic entropy changes, -ΔSM(T,H). Notable linear and non-linear machine learning models are implemented to predict the -ΔSM(T,H) of materials. Our analyses indicate that the Random Forest model outperforms the others with R2 of 0.82. We then use this model to screen a large magnetic materials database with nearly 40,000 compounds to identify potential new magnetocaloric materials operating near room temperature. MnGa2Sb2, CrGa2Sb2, SbSCl0.1I0.9, Sm3Te4, LaRhSn, SbSI, Tl0.58Rb0.42Fe1.72Se2, Cs0.86Fe1.66Se2, La2.1MnGe2.2 are some of the newly predicted compounds that could yield large magnetocaloric cooling performance."This article is published as Ucar, Huseyin, Durga Paudyal, and Kamal Choudhary. "Machine learning predicted magnetic entropy change using chemical descriptors across a large compositional landscape." Computational Materials Science 209 (2022): 111414.
DOI: 10.1016/j.commatsci.2022.111414.
Copyright 2022 The Author(s).
Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0).
Posted with permission.
DOE Contract Number(s): AC02-07CH11358
Branding Plan for New Restaurant – Ravintola Mount Nepal
No full textThe commissioner of the thesis is Restaurant Mount Nepal. The thesis was made for a newly open Company Visit Nepal Oy . The newly company Visit Nepal oy is a part of Restaurant Mount Nepal. Currently, they are operating their brand in Espoo and Kereva. They are planning to open a new brand in Helsinki Center .Hence, they will open in Kamppi from the 1st of January 2020.
The main reason to write my thesis is to create branding plan for Company Visit Nepal oy. The objective itself is to create Branding plan and also to provide insights into the brand development by analyzing the best branding practices used in other ethnic restaurants in Finland.
The thesis consists of four main parts :Introduction, theory, methodology & findings and conclusion. First part will consist-of general information about the company, its objectives problems. While in theoretical section branding , branding theories -are discussed. The third part details the methodology and the findings that are deducted from the research and followed by the conclusions and recommendations.
Research process and methods which includes benchmarking results and suggestions. Then followed by discussions and conclusion. In addition, the author has observed different restaurant premises and compared it with the case company
Effects of surface capping with Poly-vinyl butyral (PVB) on the ultraviolet photosensing properties of ZnO nanorods
No full text
Microstructural evolutions, phase transformations and hard magnetic properties in polycrystalline Ce–Co–Fe–Cu alloys Author links open overlay panel
No full textThis work focuses on systematic studies of Ce–Co based 1:5 permanent magnet alloys of CeCo4.4-xFexCu0.6 and CeCo3.9-xFexCu1.2 (x = 0, 0.3, 0.6, 0.9, 1.2, 1.8) by varying Co:Fe. The overarching aim of this manuscript is to elucidate the hard-magnetic properties through a better understanding of phase formation by the structural, microstructural, and magnetic properties in these materials. Improved mutual solubility of Fe in the 1:5 phase has been observed with an extended homogeneity range by Cu substitution. For both composition series, Fe contents of x ≤ 0.6 show a homogeneous microstructure with a single 1:5 phase and good magnetic properties. The composition region 0.6 < x ≤ 0.9 appears to be near the boundary of solubility and evolution of other phases. At x = 1.8, it is found that the homogeneous 1:5 phase and magnetic hardness deteriorated due to the evolution of secondary phases such as 2:17, 2:7, and Fe–Co. The addition of Fe improved both the magnetization and Curie temperature via increased effective exchange interactions, while an increase in Cu content enhanced coercivity.This is a manuscript of an article published as Gandha, Kinjal, Rakesh P. Chaudhary, Matthew J. Kramer, Ryan T. Ott, Durga Paudyal, and I. C. Nlebedim. "Microstructural evolutions, phase transformations and hard magnetic properties in polycrystalline Ce–Co–Fe–Cu alloys." Materials Chemistry and Physics 286 (2022): 126179.
DOI: 10.1016/j.matchemphys.2022.126179.
Copyright 2022 Elsevier B.V.
Posted with permission.
DOE Contract Number(s): AC02-07CH11358
Urban flood prediction under heavy precipitation
No full textUniversity of Prince Edward IslandNatural Sciences and Engineering Research Counci
- …
