Daily Archives: September 11, 2024

Abstract-This paper proposes an enhanced architecture to improve the accuracy of BERT models fine-tuned on the Stanford Question Answering Dataset (SQuAD). The presented approach introduces a Token Transformation Model designed to refine embedding, making them more effective for question answering tasks. Initially, the question and context inputs are tokenized using a BERT-large tokenizer. These tokens are then processed through the Token Transformation Model, which enhances the quality and relevance of the embedding. The refined embedding are subsequently utilized by a TinyBERT model that has been fine-tuned on SQuAD with knowledge distillation (KD) techniques. The proposed method aims to leverage the strengths of large-scale tokenization and advanced embedding transformations to achieve higher accuracy in question answering scenarios, offering a more precise and efficient solution. Experimental results demonstrate the effectiveness of this architecture in improving the performance of BERT models on SQuAD.

Abstract-This study investigates the impact of social media on the mental health of young adults aged 18-25. Utilizing a qualitative research approach, the study explores how social media usage influences both positive and negative mental health outcomes. Through in-depth interviews and thematic analysis, key factors such as social connection, support, social comparison, cyber bullying, and addiction were identified. The findings reveal a dual impact: while social media can foster a sense of community and provide access to mental health resources, it also contributes to anxiety, depression, and low self-esteem when usage is excessive or driven by negative comparisons. The study underscores the importance of promoting balanced and mindful social media use among young adults to enhance positive outcomes and mitigate adverse effects. Recommendations for healthier social media practices and directions for future research are also discussed.

Abstract-The paper presents a novel functional planning and design aspect of a sustainable commercial multi storeyed building under COVID19 situation in a tropical country, India. India, the second largest populous and democratic country in the world has been affected by three consecutive waves of COVID 19 pandemic. Construction sector, the second largest industry of the country is the most seriously affected one. Under the situation closure and job scarcity for construction people has resulted in a recession in the country’s economy and danger to social survival. The functional planning of the office building of a medium sized construction firm is executed following minimum office space requirements for the officers of the engineering department per Govt. of India and modified per World Health Organization (WHO)’s regulation on COVID19 propagation. A specific example on the functional planning for commercial office building based on National Building Code (NBC) of India and Chennai Corporation building rules have been presented as a useful addition to literature on disaster resilience of a populated large city in a tropical country like India. Analyses and designs are executed by finite element software package for different load cases including seismic loading to make it useful for professional applications. Finally, the building is made sustainable per Sustainable Development Goal (SDG) Policy of the United Nations using energy efficient materials for power supply, for construction of non-load bearing members and green building concepts. These concepts are found to be useful for medium sized construction companies through making their office building functional during and after the pandemic situation in India and other countries like India also thereby mitigating the recession in economy of construction sector.