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.

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)

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...

This book provides a comprehensive overview of the nature of explanations as given in both natural and social sciences. It discusses models of explanation adopted in natural and social sciences. The author also elaborates upon naturalistic and anti-naturalistic views and other types of explanations such as functional, purposive, etc in social science. The volume elaborates upon themes like bridge principle; functional explanation; purposive explanation; teleological explanation; prediction; methodological individualism; methodological collectivism; illocutionary redescription; principle of action; and dispositional explanations, to understand (...) whether the explanations given in the realm of social sciences are the same or different from the explanations that are given in the field of natural sciences. This introductory book is a must read for students and scholars of philosophy of science, logic, science and technology studies, social sciences, and philosophy in general. (shrink)

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 book is a philosophical treatise on the Hindu, Bauddha and Jaina morals meant for the University students of Indian Ethics as well as for the general readers interested in the subject.

The aim of this dissertation is to present a systematic exposition of renunciation (Samnyasa) as a philosophico-religious category within Indian tradition with special reference to Advaita Vedanta of Samkaracarya.

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

In This Book The Author Have Tried To Present A Historical Study Of Vedic Interpretation Confines Ourselves To The Study Of These Various Parts Of The Vedic Literature As Some Interpretation Of The Vedic Samhita. The Author Observed The Vedic Myth, Rituals And Philosophy As Interpreted By Madhvacarya The Founder Of Dvaita School Of Vedanta.

This study aims to understand the perceptions and opinions of academicians towards ChatGPT-3 by collecting and analyzing social media comments, and a survey was conducted with library and information science professionals. The research uses a content analysis method and finds that while ChatGPT-3 can be a valuable tool for research and writing, it is not 100% accurate and should be cross-checked. The study also finds that while some academicians may not accept ChatGPT-3, most are starting to accept it. The study (...) is beneficial for academicians, content developers, and librarians. (shrink)

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)

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)

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)

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)

The pandemic of COVID-19 has arrested the life of 7.8 million people living on this earth. However, some people are more vulnerable to the risk of this deadly virus. The frailty of senior citizens put them at the top of this list. The past 6 months have not only presented a threat to their physical health but to mental health also. Although lockdown was necessary to check the spread of the coronavirus it culminated in an exponential rise in the problems (...) of loneliness, anxiety, fear, helplessness, and depression. The present paper reviews the role of social networking sites, apps, and other digital platforms in saving and enriching the lives of the elderly, especially those who spent the lockdown alone and were devoid of a regular support system due to unavailability of transport and administrative restrictions on the movement of people. It also analyzes the efficiency of the virtual world in reducing their anxiety of being alone by connecting them with others and also make them feel empowered. The review is based on the online data collected about the insurgence in the percentage of elderly people using such platforms, recent studies analyzing the effects of the COVID 19 pandemic on senior citizens. Besides this personal telephonic discussions were conducted with some elderly people who spent their lockdown alone in their homes. The study was primarily focused on three objectives. Firstly it attempts to understand the ways in which senior citizens made use of social networking sites and various digital platforms for managing life better. Secondly, it analyses the process of adopting technology, and finally, it examined the width and depth of the impact technology created in their life and also the permanence of this change. The analysis clearly suggests an increase in the digital life of elderly people. The process moved in distinct stages from utter confusion to relative ease in using technology, thereby significantly reducing the loneliness, and bringing relatively stable change in the way they lead their life. (shrink)