122,355 research outputs found
Peace and non-violence : Sathya Sai education in human values in British schools
Full text linkNot only is peace one of the values at the heart of Sathya Sai Education in Human Values (SSEHV), it is also presented as one of the programme's outcomes. The SSEHV programme seeks to promote 'human values' in British schools, also with regard to educating pupils from different social, cultural or ethnic backgrounds towards greater tolerance and understanding. The programme aims to achieve this as part of the statutory provision of physical, social and health education (PSHE) and citizenship education as well provision for the social, moral, cultural and spiritual (SMCS) development of pupils in community schools. This article reports on an ethnographic study of SSEHV in the UK, which was conducted by members of the Warwick Religions and Education Research Unit (WRERU) at the University of Warwick. The research reported here focused on the development of the programme, its contents (including the value of 'non-violence' and the practice of 'silent sitting'), its application in the classroom, and its reception by pupils and teachers. Further, this article seeks to embed SSEHV in the wider theoretical context of peace education and suggests theoretical discussions to which this investigation contributes
Sathya Sai Baban inklusivistinen uskontoteologia
Full text linkTutkimukseni käsittelee karismaattisen hindugurun Sathya Sai Baban uskontoteologiaa.Monet tutkijat pitävät häntä vaikutusvaltaisimpana yhä elossa olevana hinduguruna. Hän esiintyy tämän aikakauden avatarana eli jumalan ruumiillistumana inhimillisessä muodossa.Sathya Sai Baba on osa Sai Baba -traditiota, mikä on akateemisena abstraktiona syntynyt merkitsemään ns. alkuperäisen Shirdin Sai Baban (k. 1918) karisman vaikutushistorian kautta muodostunutta traditiojatkumoa. Tämä traditio ei kuitenkaan ole opillisesti yhtenäinen,mutta sen laajuus on kokonaisuutena saavuttanut globaalit mittasuhteet. Pelkästään Sathya Sai Baban kannattajia arvioidaan esimerkiksi olevan ympäri maailmaa n. 6 -10 miljoonaa.
Tutkimuksessani analysoin, millaisen arvon tai merkityksen Sathya Sai Baba antaa muille uskonnoille avatara-asemastaan käsin, millä tarkoitan jumalallista statusta, jonka hänen karismaattiselle auktoriteetilleen antautuvat palvojat hänelle projisoivat. Tämän perustason tutkimuskysymyksen jälkeen fokusoidun käsittelemään soveltavaa tutkimuskysymystä, kuinka Sathya Sai Baban uskontoteologisessa ajattelussaan tulkitsee kristinuskoa ja Jeesuksen persoonaa tästä avatara-statuksesta käsin. Lopuksi tutkimuksen syventävänä
kysymyksenä katson, millä tavoin Sathya Sai Baba edustaa aiempaa inklusivistiseksi luonnehdittua hindulaista uskontoteologiaa.
Tutkimuksen ensisijaisena aineistona käytän Sathya Sai Baban julkista tuotantoaan, joka on saatavilla hänen organisaationsa internetsivuilta. Aineistokorpukseen kuuluvat hänen 53 puhekokoelmaansa (Sathya Sai Speaks ja Summer Showers kokoelmat) sekä hänen kirjoittamansa kirjat, joista muodostin elektronisten hakusanojen avulla itselleni tiivistetyn ja referoidun aineiston. Käytän myös tutkimukseni toissijaisena aineistona hänen palvojiensa kirjoittamia kirjoja sekä muutamia julkaistuja transkriptioita hänen kanssaan käydyistä keskusteluista ja haastatteluista. Tuon myös julki joitakin hänen kriitikoidensa osoittamia huomautuksia tämän aineiston luotettavuudesta sekä hänen oppinsa ristiriitaisuuksista.
Tutkimuksen metodina käytän yksittäisiin uskonnollisiin ajattelijoihin hyvin soveltuvaa systemaattisen teologian piirissä kehittynyttä systemaattista analyysiä, jonka avulla pyrin löytämään Sathya Sai Baban ajattelun uskontoteologiset teemat. Analyysissä osoitan, että hänen ajattelussaan esiintyy kolme universalistista uskontoteologista väittämää: 1. Kaikissa uskonnoissa on sama jumala. 2. Kaikki uskonnot johtavat samaan päämäärään. 3. Kaikki uskonnot opettavat perustavasti samaa. Analyysissä myös osoitan, kuinka nämä väittämät osoittautuvat uskontoteologisen tutkimuksen valossa problemaattisiksi.
Tutkimuksen teoreettisena näkökulmana sovellan uskontoteologisessa tutkimuksessa laajasti käytettyä typologista tyypittelyä eksklusivistiseen, inklusivistiseen ja pluralistiseen uskontoteologiaan. Sovellan näiden käsitteiden määrittelyyn Schmidt-Leukelin kehittämää loogista formulointia tästä typologiasta. Tutkimuksessani eksplikoin ja argumentoin lukuisten lainausten avulla, kuinka Sathya Sai Baban universaalit ja pluralistiselta vaikuttavat propositiot osoittautuvat piilotasoltaan inklusivistisiksi, sillä hän hahmottaa muiden uskontojen merkityksen ja arvon hindulaisuuden eli sanatana dharman ultimaattisesta päämäärästä käsin. Hän korostaa opetuksessaan hindulaisuuden ylivertaisuutta ja arvottaa myös muiden uskontojen opit ja perustajahahmot dharmisesta lähtökohdastaan ja avataraaseman tuomasta karismaattisesta näkökulmasta käsin
Analytical solutions of 2 1 dimensional Burgers equation with damping term by HPM,ADM and DTM
No full textWe have employed Analytical solutions of 2 1 dimensional Burgers equation withdamping term by HPM,ADM and DTM as. K. Sathya | T. Siva Subramania Raja | N. Sindhupriya "Analytical solutions of (2+1)-dimensional Burgers' equation with damping term by HPM,ADM and DTM" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018, URL: https://www.ijtsrd.com/papers/ijtsrd14597.pd
A Multi-Language Comparison of Influences on Author Verification using Character N-Grams
No full textWe create a new multi-language corpus for author verification based on Wikipedia talkpages, and evaluate the influence that differences in topic and time have on character n-gram author profiles. Topic alignment between two texts is found to increase author verification precision, and an authors writing style is found to change over time, but not more significantly after 3 years than after 1 year.Information ArchitectureWISElectrical Engineering, Mathematics and Computer Scienc
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
The vanishing author in computer-generated works: a critical analysis of recent Australian case law
Full text linkAbstract
The use of software is ubiquitous in the creation of many copyright works, yet the requirement in copyright law that every work have a human author who engages in independent intellectual effort means that its use may prevent copyright subsistence. Several recent Australian cases have refocused attention on authorship as an essential criterion of copyright subsistence, and these cases suggest that much computer-produced output may be authorless and thus lack copyright protection. This article, the first in a two-part series, analyses how each case deals with the question of authorship of computer-produced works and why the use of software diminishes copyright protection for a significant number of computer-generated works. The article critiques the application of conventional notions of human authorship developed in the pre-computer age to modern productions and suggests alternative approaches to authorship that satisfy both the major objectives of copyright policy and the need to adapt to the computer age. The article argues that, without a broader judicial approach to authorship of computer-generated works, Parliament must remedy the lacuna in protection for these ‘authorless’ works. Possible solutions for reform are suggested. In a forthcoming article, the author comprehensively examines those reform proposals
Diffusive author(s), cohesive author: Analysis of S/N (1994)
No full textThis study indicates the ways in which various aspects of the author(s) are brought forth in Dumb type’s performance art, the S/N production. Previous research has suggested a non-hierarchical organization of Dumb type and the absence of a “privileged author” in Dumb type’s collaborative work, S/N. However, the results that I have investigated from member’s interviews on the creative process of S/N along with my analysis of the recorded images of S/N, indicate a different aspect of the author(s). First, S/N was created through, so to speak, the collective ideas of the members of Dumb type. Further, S/N has at least nine quotations from previous performances, installations, and printed writings, besides the work-in-progress technique. Explicating one of the “author functions” as given by Michel Foucault, each text has plural subjects of the author. However, it has been revealed from members’ interviews that Teiji Furuhashi had a decision-making role in selecting the members’ ideas within the performance. Since then, S/N has had plural subjects of creation; however, Furuhashi is one of the subjects of creation along with the “privileged author.” S/N has plural authors (diffusive authors) yet at the same time, it has a “privileged author,” Teiji Furuhashi (cohesive author)
Tensorize, Factorize and Regularize: Robust Visual Relationship Learning
No full textVisual relationships provide higher-level information of objects and their relations in an image - this enables a semantic understanding of the scene and helps downstream applications. Given a set of localized objects in some training data, visual relationship detection seeks to detect the most likely 'relationship' between objects in a given image. While the specific objects may be well represented in training data, their relationships may still be infrequent. The empirical distribution obtained from seeing these relationships in a dataset does not model the underlying distribution well - a serious issue for most learning methods. In this work, we start from a simple multi-relational learning model, which in principle, offers a rich formalization for deriving a strong prior for learning visual relationships. While the inference problem for deriving the regularizer is challenging, our main technical contribution is to show how adapting recent results in numerical linear algebra lead to efficient algorithms for a factorization scheme that yields highly informative priors. The factorization provides sample size bounds for inference (under mild conditions) for the underlying [object, predicate, object] relationship learning task on its own and surprisingly outperforms (in some cases) existing methods even without utilizing visual features. Then, when integrated with an end-to-end architecture for visual relationship detection leveraging image data, we substantially improve the state-of-the-art
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