This article proposes that feminist phenomenology offers an essential set of conceptual tools for analysing forms of violence which destroy the body beyond the point of death. To illustrate the potential utility of this approach, I apply this lens to the 11 September 2001 attack on the World Trade Center in Manhattan, New York City. I identify several distinct modes of bodily transformation from the attack, grouped into three broad categories: vaporised bodies, intermingled remains, and hidden fragments. I describe how (...) these transformations unsettled the relationships between bodies and contexts, and occasioned the formation of new relationships in ways that heightened and extended the violence of the attack. I end with a discussion of attempts to resettle and repair these relationships through the creation of fictive bodies. These fictive bodies aim to repair the specific harms caused by the derangement of bodily relations by re-establishing firm boundaries between heroic, national bodies, and the monstrous body of the attacker. Through rigorous engagement with this case, I illustrate the unique potential of feminist phenomenology to account for the relationships between bodies, objects, and spaces as the site of political meaning-making in the aftermath of violence. (shrink)

This essay examines the ways in which postcoloniality and autoethnography can be integrated to create a space of scholarly inquiry that disrupts the colonialist enterprise prevalent in the academy. By utilizing González's four ethics of postcolonial ethnography, this essay presents an ethics for postcolonial autoethnography as a mode to build a body of scholarly research that disrupts scientific imperialism.

Chiefly history of Vaishnavism in Assam, with special reference to Sankaradeva, 1449-1569.

The objective of this article is to study the relationship between men, women and nature in Sarah Orne Jewett’s ‘A White Heron’ by using ecofeminist perspectives. The cultural and moral vision of J...

Situational and experiential factors provide a moral lens through which people judge the morality or otherwise of actions. The research in this volume goes a step further and illustrates that individual differences may interact with these situational and experiential factors to explain the acquisition of positive attitudes to immoral behaviour.

Contributed research papers presented as National Seminar on Vedic Astro Sciences, organized by S.V. Vedic University on 7th and 8th June, 2008 in association with the Centre for Theoritical Studies and Research, Birbhum, West Bengal).

The paper attempts to evaluate whether corporate social responsibility can contribute towards achievement of inclusive growth in India. Using content analysis of annual reports belonging to 42 non-financial companies across 8 years, the study identifies company disclosures under areas that fall within the purview of both inclusive growth, as conceptualised by the Indian government and themes of CSR subject indices mentioned in corporate social disclosure literature. The study is unique in its attempt to address the relation between CSR and inclusiveness (...) through a longitudinal analysis of 322 annual reports, in a timeframe when governmental intervention regarding CSR was negligible and the disclosures were primarily voluntary. The findings revealed that company CSR efforts are in congruence with some requirements for inclusive growth, like CSR activities in areas such as health, education, infrastructure, environment and energy and can contribute to the welfare of special interest groups such as women, children and backward sections. Apart from contributing to CSR literature in India, the paper will be of interest to corporations, government and other stakeholders of the CSR process. (shrink)

The term diagnostic odyssey refers to patients' difficult journeys to obtain a diagnosis, particular in the case of rare or contested illnesses. This paper describes the diagnostic odyssey of patients with New Daily Persistent Headache (NDPH), a rare headache disorder notable for its persistence, resistance to treatment, and impact on quality of life. Studies conducted to date have taken a medical perspective focusing on characterizing NDPH as opposed to patient construction of the illness experience. This study fills that gap by (...) analyzing 17 semi-structured interviews with participants with NDPH, using the McGill Illness Narrative Interview (MINI). Their narratives detail significant moments of headache onset and when they realized that their condition was called NDPH. Thematic analysis identified themes including relief and devastation upon receiving a diagnosis, the importance of headache as singular, negative and positive experiences with providers, the impact of online support group, choosing friends with complex medical conditions, the cyclical nature of treatment, and maintaining hope. Participants utilized social media and social networks to navigate their illness experiences. Numerous participants also reported negative experiences with providers, which created opportunities for reinforcing identity through social networks, and cyclical interactions when medicalization of their condition was necessary for access to treatments and services. This paper advances narrative bioethics scholarship on diagnostic odysseys by arguing that social networks and cyclical engagement with medical systems support patient autonomy in terms of decision-making around uncertain treatments. It concludes with implications for physician-patient relationships that create epistemic justice for all patients, including patients with NDPH. (shrink)

On Hindu ethics and code of conduct in Hindu smr̥tis.

Out of the wide variety of themes covered by Husserl's phenomenology and later developed by Heidegger, Merleau Ponty, and others in different possible directions, the present work attempts to indicate the few features of the method that derives from Edmund Husserl's basic themes of the phenomenological movement and its methodology. Barua explores the manner in which this method has been applied to the study of art and religion by other phenomenologists and accordingly introduces the problem of this profound bulk, namely, (...) the phenomenological approach to religion, mostly in their terms. (shrink)

On theory of Knowledge and semantics accroding to Mimamsa philosophy.

Digest of published and unpublished texts on Indic philosophy.

This introduction to the Madhva school of Vedanta is accessible to a wide audience with interest in Hinduism, Indian thought and in the comparative philosophy of religion.Deepak Sarma explores the philosophical foundations of Madhva Vedanta and then presents translations of actual debates between the Madhva and Advaita schools of Vedanta, thus positioning readers at the centre of the 700 year-old controversy between these two schools of Vedanta. Original texts of Madhvacarya are included in an appendix, in translation and in (...) Sanskrit. (shrink)

On economic ideas of Deendayal Upadhyaya, 1916-1968, politician and nationalist leader of India.

In this paper, we study the performance of baseline hidden Markov model (HMM) for segmentation of speech signals. It is applied on single-speaker segmentation task, using Hindi speech database. The automatic phoneme segmentation framework evolved imitates the human phoneme segmentation process. A set of 44 Hindi phonemes were chosen for the segmentation experiment, wherein we used continuous density hidden Markov model (CDHMM) with a mixture of Gaussian distribution. The left-to-right topology with no skip states has been selected as it is (...) effective in speech recognition due to its consistency with the natural way of articulating the spoken words. This system accepts speech utterances along with their orthographic “transcriptions” and generates segmentation information of the speech. This corpus was used to develop context-independent hidden Markov models (HMMs) for each of the Hindi phonemes. The system was trained using numerous sentences that are relevant to provide information to the passengers of the Metro Rail. The system was validated against a few manually segmented speech utterances. The evaluation of the experiments shows that the best performance is obtained by using a combination of two Gaussians mixtures and five HMM states. A category-wise phoneme error analysis has been performed, and the performance of the phonetic segmentation has been reported. The modeling of HMMs has been implemented using Microsoft Visual Studio 2005 (C++), and the system is designed to work on Windows operating system. The goal of this study is automatic segmentation of speech at phonetic level. (shrink)

Exposition of Daśaprakaraṇa (ten minor collective tracts) on Dvaita Vedanta by Madhva, 13th cent. ; includes complete text in Sanskrit.

Granthayojanā, anonymous supercommentary, on Śābarabhāṣya, commentary on the Mīmāṃsāsūtra of Jaimini; based on a rare manuscript preserved in the Adyar Library.

Deepak Sarma completes the first outline in more than fifty years of India's key philosophical traditions, inventively sourcing seminal texts and clarifying language, positions, and issues. Organized by tradition, the volume covers six schools of orthodox Hindu philosophy: Mimamsa (the study of the earlier Vedas, later incorporated into Vedanta), Vedanta (the study of the later Vedas, including the _Bhagavad Gita_ and the _Upanishads_), Sankhya (a form of self-nature dualism), Yoga (a practical outgrowth of Sankhya), and Nyaya and Vaisesika (two (...) forms of realism). It also discusses Jain philosophy and the Mahayana Buddhist schools of Madhyamaka and Yogacara. Sarma maps theories of knowledge, perception, ontology, religion, and salvation, and he details central concepts, such as the _pramanas_ (means of knowledge), _pratyaksa_ (perception), _drayvas_ (types of being), _moksa_ (liberation), and _nirvana_. Selections and accompanying materials inspire a reassessment of long-held presuppositions and modes of thought, and accessible translations prove the modern relevance of these enduring works. (shrink)

Study on perception in Indian philosophy.

Understanding phenomenology as a philosophical approach in which human-world relationships are analysed, as well as the constitution of subjectivity and objectivity within these relationships, this paper addresses some issues related to the transcendental dimension in the phenomenology of Edmund Husserl. An attempt is also made to re-address some issues related to phenomenology and its transcendental dimension as understood by adherents of hermeneutical phenomenology such as Paul Ricoeur. In essence, the focus of the paper is on exploring the following issues: what (...) is this transcendental turn in Husserl’s philosophy? Is this an ‘unfortunate turn’ toward a neo-Kantian brand of transcendental idealism? What is the significance of this transcendental dimension in Husserl’s phenomenology? Is there any distinctive phenomenological programme that, despite their differences, is common to both Husserl and Heidegger? This line of questioning proceeds from the observations made by Paul Ricoeur that, “with the development of his ‘hermeneutics of facticity’, Heidegger rejected Husserl’s neo-Kantian brand of transcendental phenomenology in favour of a de-transcendental and historicized way of doing philosophy, that Heidegger understood the subject to be ‘factic’, in contrast to Husserl’s pure ego as the source of the world constitution”(Hahn, 1995). Ultimately, however, the thrust of this exploration is towards understanding the transcendental way of doing philosophy and the so-called historicized way of philosophizing as two distinct ways to reach one common goal, the transcendental dimension of meaning. Indo-Pacific Journal of Phenomenology , Volume 7, Edition 1 May 2007. (shrink)

Study on Śrīmadbhagavadgītātparya, exposition of Bhagavadgītā, Hindu philosophical text, by D.V. Gundappa.

In the case of magnetic resonance imaging (MRI) imaging, image processing is crucial. In the medical industry, MRI images are commonly used to analyze and diagnose tumor growth in the body. A number of successful brain tumor identification and classification procedures have been developed by various experts. Existing approaches face a number of obstacles, including detection time, accuracy, and tumor size. Early detection of brain tumors improves options for treatment and patient survival rates. Manually segmenting brain tumors from a significant (...) number of MRI data for brain tumor diagnosis is a tough and time-consuming task. Automatic image segmentation of brain tumors is required. The objective of this study is to evaluate the degree of accuracy and simplify the medical picture segmentation procedure used to identify the type of brain tumor from MRI results. Additionally, this work suggests a novel method for identifying brain malignancies utilizing the Bagging Ensemble with K-Nearest Neighbor (BKNN) in order to raise the KNN’s accuracy and quality rate. For image segmentation, a U-Net architecture is utilized first, followed by a bagging-based k-NN prediction algorithm for classification. The goal of employing U-Net is to improve the accuracy and uniformity of parameter distribution in the layers. Each decision tree is fitted on a little different training dataset during classification, and the bagged decision trees are effective since each tree has minor differences and generates slightly different skilled predictions. The overall classification accuracy was up to 97.7 percent, confirming the efficiency of the suggested strategy for distinguishing normal and pathological tissues from brain MR images; this is greater than the methods that are already in use. (shrink)

This paper discusses the utilization of pilots' physiological indications such as electroencephalographic signals, ocular parameters, and pilot performance-based quantitative metrics to estimate cognitive workload. The study aims to derive a non-invasive technique to estimate pilot's cognitive workload and study their correlation with standard physiological parameters. Initially, we conducted a set of user trials using well-established psychometric tests for evaluating the effectiveness of pupil and gaze-based ocular metrics for estimating cognitive workload at different levels of task difficulty and lighting conditions. Later, (...) we conducted user trials with the NALSim flight simulator using a business class Learjet aircraft model. We analyzed participants' ocular parameters, power levels of different EEG frequency bands, and flight parameters for estimating variations in cognitive workload. Results indicate that introduction of secondary task increases pilot's cognitive workload significantly. The beta frequency band of EEG, nearest neighborhood index specifying distribution of gaze fixation, L1 Norm of power spectral density of pupil diameter, and the duty cycle metric indicated variations in cognitive workload. (shrink)

. Fuzzy systems and artificial neural networks, as important components of soft-computation, can be applied together to model uncertainty. A composite block of the fuzzy system and the ANN shares a mutually beneficial association resulting in enhanced performance with smaller networks. It makes them suitable for application with time-varying multi-input multi-output channel modeling enabling such a system to track minute variations in propagation conditions. Here we propose a fuzzy neural system using a fuzzy time delay fully recurrent neural network that (...) has the capability to tackle time-varying inputs in fuzzified form and is used to model MIMO channels. The inference engine is constituted by novel FTDFRNN blocks which determine the decision boundaries and tracks in-phase and quadrature components of input signals encompassing stochastic behavior of the MIMO channel. The system shows significant improvement in performance compared to statistical and ANN approaches in terms of faster processing time, lower bit error rate margins and better precision while carrying out symbol recovery of transmitted data through severely faded MIMO channels. (shrink)

The present volume, comprising ninteen articles by renowned scholars, is divided into three sections, namely, Buddhist Jaina and Hindu Philsosphical Researches.