Abstract The integration of traditional craftsmanship with modern technologies in stopmotion animation represents a significant evolution in the medium, blending the tactile beauty of handcrafted elements with the precision and efficiency of digital tools. This research explores how these integrations impact visual quality, production efficiency, storytelling capabilities, and the challenges they present. Through a comprehensive literature review and thematic analysis, the... The integration of traditional craftsmanship with modern technologies in stopmotion animation represents a significant evolution in the medium, blending the tactile beauty of handcrafted elements with the precision and efficiency of digital tools. This research explores how these integrations impact visual quality, production efficiency, storytelling capabilities, and the challenges they present. Through a comprehensive literature review and thematic analysis, the study identifies key trends and practical applications of modern techniques such as 3D printing, digital sculpting, and CGI in enhancing stop-motion animation. Findings reveal that these technologies can significantly enhance visual quality and production efficiency while expanding the narrative possibilities of stop-motion. However, achieving a harmonious balance that preserves the medium's unique handcrafted essence remains a critical challenge. The study underscores the importance of careful integration and skill development to harness the full potential of these technologies without compromising the traditional values and aesthetic fidelity of stop-motion animation. The conclusions drawn highlight the promising future of stop-motion as it evolves with technological advancements, offering new opportunities for creative expression and innovation. Read More Read Less

Abstract Artificial Intelligence (AI) is one of the emerging trends in library computing applications, which involves programming computers to do things through human intelligence. The simulation of the human intelligence process by computer machines. It works by ingesting huge amounts of labelled training data, analysing the data for correlations and patterns, and using these patterns to make predictions. The application of... Artificial Intelligence (AI) is one of the emerging trends in library computing applications, which involves programming computers to do things through human intelligence. The simulation of the human intelligence process by computer machines. It works by ingesting huge amounts of labelled training data, analysing the data for correlations and patterns, and using these patterns to make predictions. The application of AI and related technologies in the library is pervasive. This includes expert systems for reference service, book reading and shelf reading robots, and virtual learning. This paper examines how AI and related technologies are being used in state university libraries and the perceptions of librarians in adopting those technologies in this digital age. Design / Methodology: The survey responses were collected using an online questionnaire from the state universities, central universities, private universities, and deemed universities of Karnataka only. The quantitative survey responses were received (N=65) from 73 university libraries in the state. The percentage of responses received was 89. Read More Read Less

Abstract Video creation is one of the many artistic fields significantly impacted by the advancements in artificial intelligence (AI). This study paper examines ten prominent AI video generation tools: Runway, Pictory, Deepbrain AI, Synthesia, Colossyan, Hour One, D-ID, Elai.io, HeyGen, and InVideo. We compare these tools based on their architecture, learning strategies, algorithms (where applicable), benefits, and drawbacks. Our analysis reveals... Video creation is one of the many artistic fields significantly impacted by the advancements in artificial intelligence (AI). This study paper examines ten prominent AI video generation tools: Runway, Pictory, Deepbrain AI, Synthesia, Colossyan, Hour One, D-ID, Elai.io, HeyGen, and InVideo. We compare these tools based on their architecture, learning strategies, algorithms (where applicable), benefits, and drawbacks. Our analysis reveals that most of these tools employ unsupervised learning techniques, likely using generative models such as Generative Adversarial Networks (GANs) for video production. Additionally, many tools feature text-to-speech conversion and offer functionalities like script-based video creation, customisable avatars, and AI-driven editing capabilities. This study highlights the potential of AI video generation tools to democratise video creation, making it accessible to those without editing experience. However, it also addresses some drawbacks, including limited customisation options, misuse (e.g., deepfakes) risk, and varying video quality among different tools. The conclusion emphasises the need for further advancements in AI video technology, focusing on enhancing user control, ensuring ethical use, and consistently improving output quality. This research paves the way for a future where AI facilitates accessible and efficient video production for various applications. Read More Read Less

Abstract Livestock farming is an important factor in Uzbekistan's economy. The agricultural and livestock sectors have been the subject of a number of reforms because of their important role in the Uzbekistan economy, employing about 40% of the population and producing one-third of the country’s gross domestic product. This paper aims to review the major technological developments in cattle farming and... Livestock farming is an important factor in Uzbekistan's economy. The agricultural and livestock sectors have been the subject of a number of reforms because of their important role in the Uzbekistan economy, employing about 40% of the population and producing one-third of the country’s gross domestic product. This paper aims to review the major technological developments in cattle farming and the role of imparting the trending technology in smart animal production and farming for improved efficiency at less investment for the sustainable development of agriculture. Modern technology, including artificial intelligence, blockchain, geofencing, smart and biosensors, the internet of things, etc, have tremendously changed agriculture and cattle farming by reducing the challenges in real-time animal breeding in large numbers. This paper summarizes the major technological trends and developments in each sector of livestock management. Read More Read Less

Abstract Academic Social Networks, or ASNSs, are gaining popularity as a means of communication, networking, and knowledge sharing among academics worldwide. Librarians can use ASNS to significantly increase their visibility and gain the respect of their academic communities as knowledge stewards at academic institutions. The study's main objective is to highlight the importance of academic social networks for knowledge transfer in... Academic Social Networks, or ASNSs, are gaining popularity as a means of communication, networking, and knowledge sharing among academics worldwide. Librarians can use ASNS to significantly increase their visibility and gain the respect of their academic communities as knowledge stewards at academic institutions. The study's main objective is to highlight the importance of academic social networks for knowledge transfer in the academic community. The foundation of this study is an extensive review of the literature on ASNS, which includes details on advantages and disadvantages. The primary objective of the data analysis was to identify the many attributes and potential applications of ASNS among academics to foster existential recognition and global consciousness. Read More Read Less