Volume 13 | Issue 2 |

 Abstract

Background: The burden of low lung efficiency among children in India is increasing rapidly varying across different states and Union territories. The effect and frequency of food consumption on the functioning of respiratory system had received less attention when compared to other non-communicable diseases until the recent pandemic of Covid-19. Aim: This study aimed to find the association between Peak Expiratory Flow Rate (PEFR) and frequency of food consumption among school going children aged 10 to 14 years in the Union Territory (UT) of Puducherry. Methods: A total of 1926 school going children (10-14 years) were screened for lung efficiency using Food Frequency Questionnaire and Mini Wright Peak flow meter. Results: Results revealed that egg, musambi, grapes and strawberry resulted in a higher Peak Expiratory Flow Rate (PEFR) value that was statistically significant (p<0.05) when consumed weekly rather than daily. A highly significant PEFR value (p<.001) was noticed among those who included fish daily in their diet. Eating orange and banana daily was also found to have a positive effect on PEFR. Conclusion: Type of food as well as the frequency of intake strongly influences PEFR and has salutary effects on respiratory health.

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 Keywords

Food Frequency Questionnaire, Lung efficiency, Allergy

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Abstract: In this work, we present a hybrid model approach for gender classification and age prediction leveraging deep learning techniques. The proposed model combines the strengths of Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) to effectively capture both spatial and temporal patterns in facial images. CNNs are employed to extract high-level features from the images, which are then fed into RNNs to capture sequential dependencies and improve classification and prediction accuracy. To enhance performance further, we incorporate ensemble learning methods, combining predictions from multiple models to reduce variance and improve robustness. The model is trained and evaluated on a comprehensive dataset containing diverse facial images, ensuring its ability to generalize across different age groups and genders. The experimental results demonstrate that the hybrid model outperforms traditional methods in both gender classification and age prediction tasks, achieving higher accuracy and lower error rates. This approach offers a robust solution for applications requiring accurate gender and age estimation, such as in personalized marketing, security systems, and social media analytics. The proposed hybrid model sets a new benchmark in leveraging deep learning for biometric identification tasks

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Keywords: CNN, Age Prediction, Gender Classification, Deep Learning, Recurrent neural network (RNN), Pre-processing

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The study of language change over time stands as a fundamental aspect of historical linguistics, offering insights into the evolution, diversification, and adaptation of languages across different temporal periods. This research paper delves into the dynamic nature of linguistic change through a series of case studies, aiming to elucidate the mechanisms and patterns underlying language evolution. The paper begins by contextualizing the significance of historical linguistics within the broader field of linguistics, emphasizing its role in unravelling the intricate threads that shape languages across generations. Drawing upon foundational theories in historical linguistics, the study employs a comparative approach, analysing distinct languages and their transformations across specific historical epochs. Through meticulous examination of case studies encompassing diverse language families and geographical regions, this research paper explores various dimensions of language change. It scrutinizes phonological shifts, morphological adaptations, syntactic alterations, and lexical transformations that occur over extended periods, unveiling the intricate processes that mould linguistic structures and systems. Additionally, the paper examines external factors such as socio-cultural influences, contact with other languages, and historical events, elucidating their impact on shaping language change. By integrating these external influences with linguistic data, the study aims to offer comprehensive insights into the multifaceted nature of language evolution. Furthermore, the research highlights methodological approaches utilized in historical linguistics, encompassing comparative methods, etymological analysis, and the reconstruction of proto-languages. It underscores the significance of these methodologies in tracing language histories and understanding the roots of contemporary linguistic diversity. Ultimately, this research paper seeks to contribute to the ongoing discourse in historical linguistics by presenting a nuanced analysis of language change over time. By elucidating the mechanisms of language evolution through diverse case studies, it aims to deepen our understanding of the dynamic nature of languages and their adaptation across different historical periods.

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historical linguistics, language change, linguistic evolution, comparative analysis, socio-cultural influences, methodological approaches. Introduction

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The structural, optical, and morphological characteristics of iodine-doped ZnO thin films produced by the sol-gel spin coating technique are investigated in this work. The films' crystallinity, bandgap, and surface morphology were assessed by XRD, UV-visible spectroscopy, and FESEM at iodine concentrations of 0%, 5%, 10%, and 20%. A hexagonal crystal structure with preferred orientation along the (101) plane and grain sizes ranging from 52 to 65 nm was verified by XRD investigation. SEM pictures showed that there was a xenolith present and that the shape and texture changed with the annealing temperature. The bandgap was calculated to be between 2.80 and 3.45 eV using UV-visible spectroscopy.

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ZnO, doping, XRD, FESEM, RAMAN, UV-visible

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Friday a virtual assistant running on the technology from OpenAI revolutionizes how users interact with computers. Developed using the OpenAI platform Friday showcases comprehension of language and adaptive learning features making it a smart and user friendly desktop assistant. Fridays main advantage lies in its ability to understand and process language effectively allowing users to have conversational interactions. By utilizing OpenAIs language models Friday can interpret user requests provide answers to questions and carry out tasks accurately while considering the context. Some of the features include managing tasks coordinating schedules, on the calendar and retrieving information. Users can easily arrange their plans set reminders and stay updated with real time information on weather forecasts, news updates and personalized data summaries. With OpenAIs technology, in place Friday is designed to adapt and learn from user engagement over time continuously enhancing its performance and predicting user requirements.

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Desktop Assistant, Voice Interaction

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Employee retention remains a critical challenge for organizations striving to maintain a skilled and committed workforce. This study explores effective strategies for enhancing employee retention by addressing key factors such as job satisfaction, organizational commitment, and turnover prevention. Employees are invaluable assets, and their retention directly impacts an organization's stability and success. Understanding the root causes of employee turnover and implementing proactive measures can help organizations create a more engaging and supportive work environment. The objective of this study is to highlight the significance of employee retention in today's competitive landscape and emphasize the potential risks organizations face if they fail to prioritize this issue. Without timely interventions, businesses may experience decreased productivity, increased recruitment costs, and overall industry setbacks.

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Employee Retention, Reasons of Employee Turnover, Strategies of Employee Retention.

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Garbha samskara is one of Indian practices aimed to promote mental,physical and emotional well being of the expected mother throughout pregnancy period thus promoting the health of both mother and the unborn child. This process includes following the rules and regulations regarding ahara ,vihara practising yoga,reciting mantras and prayers,listening to soothning music,reading and listening the positive stories which will increase the positive attitude and inculcated the moral values to the fetus. By following dietary regimen and practising yoga helps in balancing the body humors enhances the overall vitality and well being of the child. Modern lifestyle often leads to mental stress and health issues. It is essential to nurture the biological and inner growth of baby from the embryonic state. Garbha sanskar infuences the fetus with good values. It has also been scientifically proved that sub conscious mind of a fetus can be influenced more powerfully than conscious mind of grown up child after birth.

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Garbha sanskar , fetal development ,Ahara vidhi ,yoga ,maternal and fetal health.

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Amidst the global negativity brought on by the Covid19 epidemic, the Government of India's announcement of the New Education Policy (NEP 2020) was a welcome change and new information. Many people were completely unprepared for the announcement of NEP 2020.Many education professionals were surprised by the modifications that NEP 2020 suggested. This article primarily focuses on NEP 2020 and its effects on higher education, even if the education policy has had an equal influence on school and college education. Additionally, this essay highlights the key components of NEP and examines their implications for the current educational system.

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New Education Policy

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Access to reliable and sustainable water sources is critical for rural communities, particularly in regions facing water scarcity. This study conducts a comparative analysis of infiltration galleries and traditional wells as two primary methods for rural water supply. Infiltration galleries, which are subsurface structures designed to collect groundwater through natural filtration, are evaluated against traditional wells in terms of water yield, quality, construction costs, maintenance requirements, and long-term sustainability. Field data from selected rural sites are analyzed, focusing on hydrogeological conditions, water extraction rates, and contamination risks. The results indicate that infiltration galleries often provide superior water quality due to natural filtration processes and are less susceptible to surface contamination compared to traditional wells. However, traditional wells may offer higher water yields in certain geological settings and are generally less expensive to construct. The study also explores the socio-economic implications of each method, including community acceptance and operational challenges. The findings suggest that while infiltration galleries are a viable and sustainable option for rural water supply, their suitability depends on local hydrogeological conditions and financial resources. This research provides valuable insights for policymakers and engineers in selecting the most appropriate water extraction method for rural areas, balancing technical feasibility, cost-effectiveness, and environmental sustainability.

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Infiltration galleries, Traditional wells, Rural water supply, Groundwater extraction, Water quality comparison

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This research paper explores the effectiveness of vocabulary acquisition through incidental learning using subtitled videos in ESL Learners. The study employs a mixed-methods approach, using pre- and post-tests, as well as a questionnaire to assess vocabulary acquisition through incidental learning using English subtitled videos in ESL learners. A representative group of 70 students participated, divided into an experimental group exposed to English subtitled videos and a control group exposed to non-subtitled videos. The primary objective of the study is to determine whether vocabulary acquisition through incidental learning using English subtitled videos in ESL learners is supported by statistical analysis, with the experimental group showing remarkable progress. The analysis of variance (ANOVA) indicated significant differences between the groups, further strengthening the argument for the effectiveness of subtitled videos. A structured questionnaire was developed for experimental group in order to elicit the participants views on the English subtitled videos as well as their attitudes and habits in relation to watching English subtitled videos for English vocabulary acquisition purpose in general. This research emphasizes the influence of vocabulary acquisition through incidental learning using English subtitled videos in ESL learners, supporting their potential as an innovative pedagogical tool. This study provides compelling evidence for the successful incorporation of subtitled videos in language education, facilitating immersive and impactful learning experiences.

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 Keywords

Vocabulary acquisition, Incidental learning, Subtitled videos, ESL learners

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