Volume 13 | Issue 5 |

 Abstract

Theintegrationofemotionalintelligenceintoartificialintelligencesystemsrevolutionizes human computer interactions. EI enables AI to understand and respond to human emotions,fostering more natural and emphatic interactions This convergence of EI and AI enhances decision making,customer service and user experience As AI becomes increasingly ubiquitous, incorporating EI is crucial for developing more human like and effective AI systems.ThispaperexplorestheimpactofEIonAIhighlightingitsapplicationsbenefits,future directions.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Emotionalintelligence ,Artificialintelligence,Humancomputerinteraction,Empathy,Decisionmaking

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Text simplification is one of the main factors making complex information available to diversified audiences, from non-native speakers to students and people with cognitive disabilities. This paper provides in-depth comparative analysis of five state-of-the-art text simplification models: ACCESS, MUSS, T5, GraSP, and EditNTS. We evaluate these models using various metrics: simplification ratio, MOS, precision, recall, and F1-score to examine how effective the models are in making texts readable while not losing their meaning. Our experiments reveal that, on average, ACCESS works better (MOS 4.3, F1-score 0.86) compared with other methods that strike a proper balance between preserving the content of the original and making the text simple enough for readability while MUSS generally is apt for most uses with an acceptable simplification ratio 0.87. T5 provides a precision-sensitive performance with the precision value of 0.86, GraSP provides excellent balance for preserving semantics and EditNTS has the property of aggressive simplification. All these, as our statistical tests, are also confirmed to be statistically significant at p < 0.05. In the concluding section we will reflect on the avenues of possible future work involving these novel models, that is hybrid models and rich capabilities of supporting multiple languages, aside from a fitting and much more accurate assessment framework for such systems. This work contributes to advancements in the technology of text simplification and its applications in making information more accessible across diverse user groups.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Text Simplification, Readability, Natural Language Processing, Machine Learning.

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Creative Commons Attribution 4.0 and The Open Definition

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Text summarization is one of the basic tasks in natural language processing, which has been vastly developed over the past couple of years, with huge growth influenced by large language models. This paper focuses on a comparative analysis of five state-of-the-art LLM models for text summarization: GPT-3, T5, MPT-7B-instruct, FALCON-7B-instruct, and OpenAI ChatGPT. The models evaluate on CNN/Daily Mail and XSum datasets utilizing ROUGE-1, ROUGE-2, ROUGE-L, BLEU, and F1 score to measure the competence of generated coherent and meaningful summaries and the preservation of the meaning of the origin text. Results demonstrate that GPT-3 scores the best on most of the metrics, while having strong language understanding and generation capabilities. T5 variants: The results show that the T5-large variant performs better than the T5-base variant. This confirms the benefits of scaling up model size. Instruction-tuned models MPT-7B-instruct and FALCON-7B-instruct have slightly inferior performance compared to other approaches, which implies that general pre-training of GPT-3 and T5 could be more effective than task-specific fine-tuning. Interestingly, the recently developed ChatGPT also delivers competitive results, underscoring the continuous progress in text summarization. The paper ends with suggesting the possible research avenues; first, development of the hybrid models by integrating benefits from different approaches, study on multi-lingual summarization, domain-agnostic summarization, and then extensive evaluation framework. Such contribution is essential to take one step ahead in terms of text simplification technology advancement and application for facilitating accessible information across various diverse users.

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 Keywords

Text summarization, Large Language Models (LLMs), Comparative analysis, Evaluation metrics, FALCON-7B-instruct.

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Creative Commons Attribution 4.0 and The Open Definition

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Challenges and solutions of vocational training

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Creative Commons Attribution 4.0 and The Open Definition

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Challenges and solutions of vocational training

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Creative Commons Attribution 4.0 and The Open Definition

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There are some challenges to react to the change in environment both in education and the market since Commerce education becomes a key driver for the economic development and country's growth, particularly India where the unemployment issue is growing at a faster rate. This paper starts with the introduction of the concept of reforms in commerce education, and then it reviews literature, and finally it emphasizes the importance of study which would be of great benefit for multiple stakeholders in the commerce education system: such as students, potential employers, clients, donors, sponsors, accreditation bodies, board of governors, Government etc. Then the paper goes on to deal with objectives of the study, Hypotheses of the study, Sources of data collection, sample size, results of statistical testing of hypothesis, followed by findings of the study and then paper concludes with scope for further research.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Commerce education, Reforms, traditional commerce education, academic reforms, examination reforms.

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Creative Commons Attribution 4.0 and The Open Definition

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This study explores the readiness and expectations of undergraduate commerce students regarding On-the-Job Training (OJT) under NEP2-2020 in Suburban Mumbai. The study uses a descriptive research design and data is collected from 64 respondents using a structured questionnaire. The study examines awareness, preparedness and expectations from OJT. Findings of the study reveal that commerce undergraduate students have moderate readiness for OJT. They have limited prior exposure to internships. They expect skill development from OJT and want placement near their area.

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ON-THE-JOB TRAINING UNDER NEP-2020: READINESS AND EXPECTATIONS OF COMMERCE UNDERGRADUATES

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Street food vendors are of vital importance in the urban economies, especially for high-density places like Andheri (East), Mumbai. But street food preparations often depend on socioeconomic conditions that have the potential to affect food safety. This paper analyses the relationship between infrastructure support like pure water and sanitation with food safety practice and socioeconomic pressures at street food vendors. Using a mixed-methods approach with 112 vendor responses, findings suggest a moderate positive correlation between infrastructure and hygiene practices, stressing its importance in ensuring food safety. In contrast, financial constraints were not found to have a statistically direct impact on hygiene maintenance. These results indicate that targeted interventions like improved infrastructure and sector-specific training programs can contribute to better public health outcomes through overcoming pertinent barriers to street food production.

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Street food safety, socioeconomic factors, urban public health, food hygiene practices, street vendors, infrastructure impact, foodborne diseases, informal food sector.

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Creative Commons Attribution 4.0 and The Open Definition

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National competitiveness in the 21st century hinges on the effective alignment of education systems and government policies with industry needs. This paper explores the critical role of synergy between educational institutions and government bodies in building industry success. Through theoretical exploration, case studies, and policy analysis, the research highlights how collaborative strategies can produce a future-ready workforce, enhance innovation, and drive sustainable economic development. The paper concludes with recommendations for fostering stronger linkages across these sectors to promote long-term industrial growth.

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Creative Commons Attribution 4.0 and The Open Definition

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Educational institutes, Government agencies, Industries, synergistic.

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Creative Commons Attribution 4.0 and The Open Definition

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The current research investigates how subscription services have an effect on customer loyalty in Mumbai suburbs with the help of secondary data. Results show there is a very strong relationship between subscription services and loyalty, affected by price, convenience, and quality of the service. Such challenges as subscription fatigue and competition are pointed out, with emphasis on the personalization of the services. Insights for businesses are provided to support customer retention within the subscription economy.

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Creative Commons Attribution 4.0 and The Open Definition

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Subscription Services, Consumer Loyalty, Mumbai Suburbs, Price Sensitivity, Service Quality, Customer Retention.

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Creative Commons Attribution 4.0 and The Open Definition

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CSR borrows its hypothesis from the hypothesis that corporates are part of society and are therefore required, as part of their moral obligation, to help the poor, preserve nature, and use natural resources. This was a principle from ancient Vedic Indian culture where co-habiting with nature was valued. It is important to redefine economic development at this juncture in a manner so as to consider environmental degradation and resource exploitation as unfavourable factors while computing GDP/GNP so that it is made sustainable for future generations.Paradox is being faced by India--there is rapid economic growth along with problems like corruption, poverty, and illiteracy. The economy of India is dependent upon SMEs since they provide employment to 40% of the population, 45% of manufacturing, and 40% of exports. Their influence and involvement in CSR are, however, minimal. Smaller-scale enterprises are mostly interested in internal CSR, while medium and higher-order small-scale enterprises exercise internal as well as external CSR, usually through donation. Most of them do not have a lot of money to spend, and CSR is more about personal ethics than corporate performance. Education and healthcare are the best-supported causes.Key issues are financial limitations, absence of government and local authority backing. Yet CSR benefits like enhanced company reputation and social reputation. For enhancing CSR by SMEs, government, industry organizations, and NGOs will need to come together to increase awareness and encourage collective CSR initiatives at industrial clusters or sectors.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

SME contribution to CSR, Mumbai-based SMEs, CSR awareness in SMEs, Education support by SMEs.

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Creative Commons Attribution 4.0 and The Open Definition