DSpace 9

This site is running DSpace 9. For more information, see the DSpace 9 Release Notes.

DSpace is the world leading open source repository platform that enables organisations to:

  • easily ingest documents, audio, video, datasets and their corresponding Dublin Core metadata
  • open up this content to local and global audiences, thanks to the OAI-PMH interface and Google Scholar optimizations
  • issue permanent urls and trustworthy identifiers, including optional integrations with handle.net and DataCite DOI

Join an international community of leading institutions using DSpace.

The test user accounts below have their password set to the name of this software in lowercase.

  • Demo Site Administrator = dspacedemo+admin@gmail.com
  • Demo Community Administrator = dspacedemo+commadmin@gmail.com
  • Demo Collection Administrator = dspacedemo+colladmin@gmail.com
  • Demo Submitter = dspacedemo+submit@gmail.com
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Communities in DSpace

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Now showing 1 - 5 of 9

Recent Submissions

  • Item type:Item,
    Adapting Corporate Valuation Models to the Technology Sector: A Sector-Specific Framework Integrating Intangibles and User-Based Metrics
    (The Journal of Theoretical Accounting Research, 2025-11-13) Deshmukh, Sanika; Bathia, Amit; Mehta, Apurva; Kappal, Jyoti Mehndiratta; Desai, Bineet; Thakker, Hemal
    Valuing technology firms poses challenges that are hard for multiples and customary models, such as for example Discounted Cash Flow (DCF), to address also. These approaches are widely used in practice while they rely heavily on concrete assets and short-term cash flows since much of the value embedded in intangibles and user ecosystems is underrepresented. Current practice remains fragmented. Analysts often use extra commentary on user metrics to help DCF or multiples while venture capitalists depend on exit models or scorecards, like monthly active users, ARPU, churn, or SaaS-specific measures like ARR multiples. Yet even these adjustments still lack any standardization. Furthermore, no one systematically integrates these adjustments within valuation models. This study proposes a programmable valuation framework specific for sectors embedding intangible-based measures (R&D capitalization, patent intensity, intangible-to-concrete ratios) and user-based metrics (MAUs, ARPU, CAC, churn) into valuation methodologies. Startups like UiPath and Palantir, growth firms like Shopify and Zoom, and mature giants like Apple and Microsoft show through tests of this framework how integrating the variables bridges the persistent gap from market capitalization to customary valuation outputs. The contribution represents a reproducible structured model as it moves past fragmented adjustments; it gives analysts, investors, plus policymakers a stronger tool for valuing technology-driven enterprises and valuation frameworks.
  • Item type:Item,
    BEYOND OFFICIAL CHANNELS: INFORMAL ECONOMIC STRUCTURES AND CROSS-BORDER EXCHANGE PATTERNS IN INDIA-CHINA BORDER REGIONS
    (Grand Academic Portal Research Journals, 2025-11) Vaishnav, Jaimine; Mohammed, Shoaib
    This study critically interrogates the structural, functional, and operational dimensions of the informal economy within the framework of India–China cross-border trade, with a concentrated ethnographic and econometric focus on the Nathula Pass corridor in the North- Eastern Region (NER) of India. Positioned at the interstice of political economy, development anthropology, and international relations, the research explores the dichotomies between formal institutional mechanisms and informal socio-economic practices underpinning border commerce. The study uses a grounded theory methodology and constructs its narrative through mixed-method research—comprising 73 semi-structured interviews, convenience and snowball sampling, participant observation, and archival content—thereby contributing to the growing scholarship on informal cross-border trade (ICBT) and postcolonial borderland economies. The empirical investigation identifies the persistence of ancestral trader hegemony, infrastructural underdevelopment, institutional bottlenecks, and a Kafkaesque bureaucratic superstructure that collectively obfuscate the economic potential of the Nathula Trade Agreement, first operationalized in 2006. Despite subsequent revisions3 in trade caps (from ₹25,000 to ₹2,00,000 per trader) and the expansion of the tradable commodity list from 29 (exports) and 15 (imports) to 36 and 20 respectively, the study observes that these measures are insufficient in mitigating the multidimensional impediments imposed by restrictive policy formulations, geo-climatic constraints, and security surveillance. The research is timely in the context of post-2017 Doklam stand-off anxietiesand the recent 2020–2022Sino-Indian border skirmishes, which have further destabilized the already fragile border economy.
  • Item type:Item,
    Mapping the Research Landscape of Deep Learning in Knee Osteoarthritis
    (International Journal of Intelligent Information Technologies (IJIIT), 2025-11-11) Shivangi Pathania; Navjyot Trivedi; Chander Prabha; Shashikant Patil; Meena Malik; Varsha Arya; Vincent Shin-Hung Pan; Brij B. Gupta
    A comprehensive bibliometric analysis of the research in deep learning applied to knee osteoarthritis (KOA) classification is presented. The Scopus database was analyzed from 2015 to 2025 for 3,199 articles. The purpose of this study has been to understand publication patterns and identify top contributors, thematic clusters, and emerging research areas in this area. Results indicate a surge in research activity, particularly over recent years as the number of publications rises dramatically. China, United States, and India were major leading countries in terms of the research output, while the University of California and University of Stanford were identified as major contributors. Co-word analysis highlighted four key thematic clusters. In this paper, the authors examine advancements in deep learning architectures, imaging modalities used for KOA diagnosis, machine learning interpretation techniques, and data preprocessing techniques.
  • Item type:Item,
    An Analysis of Global versus Indian IPO Markets Through Top 10 IPOs since liberalisation and globalisation of Indian Economy
    (Journal of Theoretical Accounting Research, 2025-10-22) Bathia, Amit; Homavazir, Malcolm; Pathak, Hardik
    A key mechanism in the financial markets, initial public offerings (IPOs) let private businesses raise money by first-time public share sales. Between private ownership and public trading, IPOs act as a link allowing companies to thrive, innovate, and expand economically. Reflecting more general economic trends, regulatory changes, investor attitude, and technological developments, worldwide IPO markets have changed dramatically throughout the years. Still, regional performance, legal environment, and investor behaviour in IPO markets vary. Examining their dynamics, problems, and possibilities, this research seeks to offer a comparison of the worldwide and Indian IPO markets. Policymakers, investors, financial analysts, and business decision-makers among other broad groups of stakeholders depend on an awareness of IPO markets. By channelling capital to high-potential businesses, therefore promoting innovation and job creation, a well-functioning IPO market can dramatically affect economic growth. By offering a thorough comparative analysis of worldwide and Indian IPO markets, the results of this study will add to the body of knowledge already in use and highlight important elements like macroeconomic conditions, investor attitude, regulatory frameworks, and post-IPO success. Especially in developing nations like India, the study seeks to offer insightful analysis of possible legislative changes, investment strategies, and best practices that can increase market efficiency. This paper aims to provide practical suggestions based on analysing the subtleties of IPO markets across various economic settings, therefore strengthening and sustaining capital markets.
  • Item type:Item,
    Visionaries of $5 Trillion Economy: Re-imagining Future-Ready Education for India
    (Outlook, 2026-01-21) Shahani, Siddharth
    India’s higher-education landscape is undergoing a profound transformation, and few leaders have shaped this shift as decisively as Siddharth Shahani. As the Executive President and Co- Founder of ATLAS SkillTech University, Mumbai’s first new-age multidisciplinary urban university, he has pioneered a model that unites academic excellence, technological fluency, and industry-integrated learning under one ambitious vision. He represents a first generation of education entrepreneurs, one who has built a university ecosystem where innovation, design, entrepreneurship, and technology converge seamlessly to develop future-ready leaders for nation-building.