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Aligning Gross National Happiness, Sustainable Development Goals, and Traditional Ecological Knowledge: A Path to Holistic Well-being Nepal, Tej Kumar
Indonesian Journal of Social and Environmental Issues (IJSEI) Vol. 5 No. 1 (2024): April
Publisher : CV. Literasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47540/ijsei.v5i1.1329

Abstract

To promote sustainable development and holistic well-being, this article examines the connections between Traditional Ecological Knowledge (TEK), the Sustainable Development Goals (SDGs), and Gross National Happiness (GNH). GNH emphasizes environmental conservation, cultural preservation, and socioeconomic advancement, but the SDGs provide a complete framework for tackling global issues. With its roots in local and indigenous populations, TEK offers essential perspectives on environmental management and cultural preservation. By giving marginalized populations more authority, TEK integration into development plans improves biodiversity protection, guarantees the preservation of indigenous knowledge, and advances social justice. By acknowledging the interdependence of the material, spiritual, and environmental aspects of well-being, we may build resilient, inclusive, and sustainable futures.
Exploring the Applications and Challenges of ChatGPT in Research and Academia: A Comprehensive Review Nepal, Tej Kumar
West Science Interdisciplinary Studies Vol. 2 No. 05 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i05.729

Abstract

The fast advancement of artificial intelligence (AI) technology in recent years has profoundly impacted the academic and research landscape. Among these developments, OpenAI’s ChatGPT, a cutting-edge language model, has been a game-changer for natural language creation and processing. This research review thoroughly investigates the various uses and difficulties related to incorporating ChatGPT into the domains of academia and research. ChatGPT is a flexible language model that shows promise across multiple research fields, from text summarization and language translation to supporting the automation of literature reviews. The review aims to objectively evaluate ChatGPT’s impact on academic writing processes by examining how it contributes to draft creation, writing assistance, and manuscript improvement. Furthermore, the effect of the model on education is reviewed, exploring its possible contributions to personalized education, intelligent tutoring systems, and language learning help. Though the assessment highlights the need for responsible deployment, it also discusses ethical issues, potential biases, and inherent limitations in its promising uses. This research review paves the path for future innovations and informed usage of ChatGPT within academic and research contexts by combining insights into the advantages and problems of the platform. It also provides a comprehensive awareness of the existing landscape.
Exploring the Applications and Challenges of ChatGPT in Research and Academia: A Comprehensive Review Nepal, Tej Kumar
West Science Interdisciplinary Studies Vol. 2 No. 05 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i05.729

Abstract

The fast advancement of artificial intelligence (AI) technology in recent years has profoundly impacted the academic and research landscape. Among these developments, OpenAI’s ChatGPT, a cutting-edge language model, has been a game-changer for natural language creation and processing. This research review thoroughly investigates the various uses and difficulties related to incorporating ChatGPT into the domains of academia and research. ChatGPT is a flexible language model that shows promise across multiple research fields, from text summarization and language translation to supporting the automation of literature reviews. The review aims to objectively evaluate ChatGPT’s impact on academic writing processes by examining how it contributes to draft creation, writing assistance, and manuscript improvement. Furthermore, the effect of the model on education is reviewed, exploring its possible contributions to personalized education, intelligent tutoring systems, and language learning help. Though the assessment highlights the need for responsible deployment, it also discusses ethical issues, potential biases, and inherent limitations in its promising uses. This research review paves the path for future innovations and informed usage of ChatGPT within academic and research contexts by combining insights into the advantages and problems of the platform. It also provides a comprehensive awareness of the existing landscape.
Change in Bhutan’s Land Use and Land Cover from 1930 - 2020 Nepal, Tej Kumar
West Science Social and Humanities Studies Vol. 2 No. 02 (2024): West Science Social and Humanities Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsshs.v2i02.595

Abstract

The land is a fundamental component of Bhutan's geographical makeup, characterized by natural features and human activities. Bhutan's land can be divided into land use and land cover (LULC), where human activities contribute to land use, and natural elements define land cover. This paper analyzes Bhutan's LULC patterns, emphasizing the evolving trends in major LULC types, strengths and challenges of sustainable land use management, and envisioning its future trajectory. In recent years, Bhutan's land-use pattern has displayed a predominant forest cover, encompassing a significant portion of the total land area. Similarly, the built-up area in Bhutan is gradually increasing, reflecting the country's ongoing urbanization and development activities. A long-term analysis reveals dynamic shifts in agricultural land in Bhutan. While there has been a historical expansion of agricultural areas, recent trends may suggest a potential slowdown or decline, influenced by factors such as urban growth and changing economic landscapes. Like community forestry practices in Bhutan, successful conservation efforts may also influence land-use changes. In the eastern Himalayas, Bhutan faces challenges related to snow/glacial cover impacted by climate change. Increasing temperatures in the region contribute to alterations in snow/glacial patterns, necessitating a focus on environmental conservation and sustainable practices to preserve these vital resources. The land tenure system and land use policies in Bhutan have evolved and been shaped by socioeconomic and political dynamics. Bhutan needs to adapt and formulate effective policies to address contemporary challenges and promote sustainable LULC management. Implementing specific LULC zones, as outlined in Bhutan's land use policies, is crucial for ensuring sustainable land management practices.
Exploring the Applications and Challenges of ChatGPT in Research and Academia: A Comprehensive Review Nepal, Tej Kumar
West Science Interdisciplinary Studies Vol. 2 No. 05 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i05.729

Abstract

The fast advancement of artificial intelligence (AI) technology in recent years has profoundly impacted the academic and research landscape. Among these developments, OpenAI’s ChatGPT, a cutting-edge language model, has been a game-changer for natural language creation and processing. This research review thoroughly investigates the various uses and difficulties related to incorporating ChatGPT into the domains of academia and research. ChatGPT is a flexible language model that shows promise across multiple research fields, from text summarization and language translation to supporting the automation of literature reviews. The review aims to objectively evaluate ChatGPT’s impact on academic writing processes by examining how it contributes to draft creation, writing assistance, and manuscript improvement. Furthermore, the effect of the model on education is reviewed, exploring its possible contributions to personalized education, intelligent tutoring systems, and language learning help. Though the assessment highlights the need for responsible deployment, it also discusses ethical issues, potential biases, and inherent limitations in its promising uses. This research review paves the path for future innovations and informed usage of ChatGPT within academic and research contexts by combining insights into the advantages and problems of the platform. It also provides a comprehensive awareness of the existing landscape.