Volume 14 | Issue 8 |

 Abstract

Bastobota O Samajikotar Nirikhhe Tilottama Majumdarer Nirjan Saraswati Upanyas - Ekti Sankhipto Parjalochona

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Bastobota O Samajikotar Nirikhhe Tilottama Majumdarer Nirjan Saraswati Upanyas - Ekti Sankhipto Parjalochona

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 Abstract

Acute Respiratory Infections (ARIs) are a major public health concern among children under five years of age and are broadly classified into upper respiratory tract infections and lower respiratory tract infections. ARIs may affect not only the respiratory system but also other body systems through the spread of infection, inflammatory responses, microbial toxins, and impaired lung function. According to the World Health Organization, respiratory infections contribute significantly to the global burden of disease and remain a leading cause of morbidity and mortality among young children. The present study was conducted to assess the prevalence of Acute Respiratory Infections among under-five children and to determine its association with selected demographic variables in Hualngohmun, Aizawl, Mizoram. A quantitative descriptive research approach with a descriptive research design was adopted for the study. A total of 100 under-five children were selected using a non-probability convenience sampling technique. Data were collected using a structured assessment tool and analyzed using descriptive and inferential statistics. The findings revealed that 48% of the children had a high prevalence of ARI. Chi-square analysis showed no statistically significant association between the prevalence of Acute Respiratory Infection with selected demographic variables. The study concluded that Acute Respiratory Infections were highly prevalent among under-five children in the selected community area. The findings emphasize the need for effective community-based preventive measures, early detection, and health education strategies to reduce the burden of ARIs among young children.

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Assess, Acute Respiratory Infection, Under five Children, Prevalence, Community Health.

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The growth of e-commerce has created large volumes of behavioral and transactional data that can be used to anticipate customer purchasing decisions. This paper presents a practical machine learning framework for customer behavior analysis and purchase prediction using demographic attributes, browsing activity, previous purchase information, and product-related features. The study compares Logistic Regression, Decision Tree, Support Vector Machine, and Random Forest classifiers within a structured pipeline consisting of data cleaning, categorical encoding, normalization, feature selection, model training, and evaluation. The documented experimental implementation uses an 80:20 training-testing split and evaluates models through accuracy, precision, recall, and F1-score. Comparative observations indicate that Random Forest provides the strongest overall balance of predictive capability, robustness, and resistance to overfitting, while Decision Tree offers high interpretability, Logistic Regression provides a computationally efficient baseline, and Support Vector Machine remains competitive for complex decision boundaries. The findings are consistent with published e-commerce studies in which ensemble models achieve strong purchase-intention prediction. The proposed framework can support customer segmentation, personalized marketing, product recommendation, sales forecasting, and more efficient allocation of marketing resources. The paper also identifies data quality, class imbalance, changing customer preferences, and model interpretability as important considerations for deployment.

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customer behavior analysis, purchase prediction, machine learning, e-commerce, Random Forest, predictive analytics, customer intelligence

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In the course of human development, stage of adolescent plays a central stage of the development of the self and personal identity, this stage undergoes significant social, emotional, and intellectual changes. The social environment, including familial structures and interactions, strongly interfere in these changes. In this view, the research disclosures the sociological discourse on how parenting style influences the school going adolescent mental health. This study primarily investigates on the different types of parenting styles adopted by the parents and exposes the influence of socio-economic and cultural background on parenting. Particularly, the study will give significance to the mental health of adolescents and analyzes the relationship between parenting dimensions and the mental health of the adolescent children. The study employs descriptive research design, and cross-sectional nature of study. It is predominantly quantitative in nature. In order to execute the study, researcher adopted the method simple random sampling (Lottery method) to select the sample population. Data for the research is collected through semi structured interview schedule and systematic observation is undertaken to understand the social, economic and cultural dynamics of the respondents. The study found that there is a significant association between parenting styles and school going adolescents mental health. Authoritative parenting style is most commonly used among fathers and adolescents, authoritarian is most common with mothers. The study concludes that parenting not only involves the basic necessity of adolescents but also providing emotional support, communication, guidance and appropriate supervision.

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Parenting style, Adolescents, Mental health, culture.

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Dragons, a mythological creature is a major part of various cultures and holds various meanings. The paper explores the different ways that a dragon is perceived in different cultures. The focus is on how a dragon, an ancient entity, is perceived in the modern contexts of media of different cultures. It provides the basic understanding of dragons in the films in China and United Kingdom on portrayal of dragons in the films - a comparative study of visual appearance and personality.

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Dragon, Films, China, United Kingdom, Mythological Creature

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Keywords: Thiocarbohydrazone; ONSN Tetradentate Ligand; Transition Metal Complexes; Thermogravimetric Analysis (TGA); Coats-Redfern Method; Thermal Decomposition Kinetics.

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Jeremy Rifkin is a world- renowned expert and President of the Foundation on Economic Trends in Washington DC. He is deeply concerned about the impact of technological changes on human life and the Environment; how imperative it is to re-organize our economies and lives in the wake of Climate change. He is a global advisor to many Heads of States and governments of the world, the European Union, People's Republic of China and others, on this issue. In his book "The Age of Resilience", he rejects Newton's Mechanical conception and world-view; he contests Kant's view that "autonomy is humanity's highest calling". He hails and fully supports the laws of Thermodynamics which reveal all matter as active and full of Agency. He explains how the current convergence and synthesis of Physics, Chemistry and biological sciences are leading to "a historic paradigm shift in our understanding of the meaning of life....how we come to perceive our relationship to a vibrant, alive, and evolving Earth" (Rifkin,2023 ed; pp.145) and our future course of action would be "a reassertion of our kinship with the natural world" (pp.254).

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climate change, Age of Resilience, Nature's Agency, GDP, QLI

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 Abstract

Bhartiya Gyan Parampara ev Samajik Nyay

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Bhartiya Gyan Parampara ev Samajik Nyay

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Keywords: Pregnancy-induced hypertension, WHO guidelines, structured educational programme, nursing staff, knowledge, maternal health, continuing nursing education.

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