Volume 13 | Issue 10 |

 Abstract

Girl child education is one of the most significant catalysts for social transformation and gender equality. It contributes to individual empowerment, economic growth, improved health outcomes, and sustainable development. Despite international efforts, millions of girls worldwide remain deprived of education due to poverty, cultural barriers, gender discrimination, and inadequate infrastructure. This paper examines the importance of girl child education as a tool for achieving equality and social justice. It explores historical contexts, current challenges, global initiatives, and the socioeconomic benefits of educating girls. The essay also evaluates policy interventions and community-based strategies that promote inclusivity and reduce gender disparities in education. Drawing upon global data and case studies from developing regions such as South Asia and Sub-Saharan Africa, the study underscores the multidimensional impact of girl child education. The findings indicate that empowering girls through education not only transforms individual lives but also strengthens families, communities, and national economies. It concludes by emphasizing the need for collective action by governments, civil society, and international organizations to ensure equitable access to quality education for every girl.

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 Keywords

Girl child education, gender equality, empowerment, sustainable development, educational policy, social justice, poverty reduction, human rights, women's empowerment, inclusive education.

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Creative Commons Attribution 4.0 and The Open Definition

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This paper focuses on presenting a case study on predicting Real Estate prices using the machine learning technique of multiple linear regression (MLR) model. In this study the dataset of residential properties from the "Boston housing dataset", Which encompasses features such as the location of the house, construction date of the house, proximity to amenities and number of bedrooms was used. This model is implemented in a beginner-friendly way, emphasizing clear understanding of how each feature contributes and affects the house prices in a particular locality. The evaluation of Model's performance was done using Mean Squared Error (MSE) and Root Mean Squared Error (RMSE). The results obtained from the study demonstrate that even a basic linear regression model can provide reliable estimates of house prices and offer practical insights for potential buyers, sellers, and developers of the locality. This case study highlights the relevance of linear regression as an accessible and reliable tool for real world house price prediction and decision making.

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 Keywords

House Price Prediction, Linear Regression, Multiple Linear Regression, Real Estate, Machine Learning, Predictive Modeling, Regression Analysis, RMSE, MSE

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Creative Commons Attribution 4.0 and The Open Definition

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Child Care Institution, constituted under the Juvenile Justice (care and protection of children )Act 2015 has been playing a pivotal role in protecting children's rights. These institutions are formed not only to provide shelter to some children but also these institutions stand as catalysts to justice, fairness, equity and social inclusion. This work aims to gain a clear picture about the life of those children resides in such children homes. Through this work, the researcher wants to analyze the surrounding under which a vulnerable child spends a considerable amount of time of his childhood. The researcher wants to draw precise attention by a thorough study about the basic amenities provided under such institutions. The fundamental purpose of this research paper is to analyze the multifaceted contributions of these institutions in promoting a sustainable life for vulnerable child. Children Homes in India play a vital role in promoting a sustainable life for vulnerable children by offering holistic support that addresses their immediate needs and long term development. Under the Juvenile Justice(care and protection) Act 2015, these institutions should maintain a homely environment as because the vulnerable child should be raised in a good environment where they can receive quality education and also they can prepare themselves to well survive for the rest of their life. The study is confined to a doctrinal method of study. The study also examines challenges such as resource constrains, inconsistent oversight to enhance the effectiveness of CCI's. This paper argues that Children's Homes are critical agents in shaping a more inclusive and sustainable future for India's marginalized child.

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 Keywords

Child, Children's Home, Right to life, sustainable future.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract: The rapid transformation of urban environments into smart cities has created opportunities for libraries to evolve into technologically advanced, user-centric spaces. This study examines the integration of Internet of Things (IoT) technologies and data analytics in enhancing urban library services, focusing on operational efficiency, user engagement, and personalized information delivery. Through a systematic review of existing literature and case analyses of smart city libraries, the paper explores IoT applications such as automated inventory management, real-time occupancy monitoring, and environmental control systems, alongside data-driven service optimization through user behavior analytics. The findings indicate that IoT-enabled smart library systems, when integrated with robust data analytics frameworks, can significantly improve resource utilization, decision-making, and accessibility. Furthermore, the paper highlights key challenges, including data privacy, infrastructure costs, and the need for policy guidelines to ensure ethical technology deployment. The research concludes by proposing a conceptual framework for implementing IoT and analytics in urban libraries to align with smart city development goals.

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 Keywords

Smart Libraries, Internet of Things (IoT), Data Analytics, Smart Cities, Urban Library Services, Digital Transformation, Library Innovation, Technology Integration

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The present-day examination system generally patronizes memorization rather than clear understanding of critical facts in a logical order. Malpractice in public examinations seems to be the order of the day, making it difficult for the administrators to select deserving students for higher education on the basis of marks obtained at public examinations. Several educators have therefore advocated the idea that we should have entrance test to select students for higher education. There is general criticism towards entrance examination. There are some courses for which the entrance examinations for the admission of the students have been vogue. On the whole, there is confusion among the educators and educational administrators that whether there is any need to conduct entrance examinations. This purpose is aimed to get the opinion of the students who have actually taken the entrance examinations. The opinion of the students through the empirical data to select the students to know that they had positive attitude or negative attitude in entrance examinations is essential in choosing the problem.

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 Keywords

Entrance Examination, Attitude, B.Ed. Students

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Creative Commons Attribution 4.0 and The Open Definition

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Keywords: Apoptosis, Caspase-3, Electrohomeopathy, AXA, Flow Cytometry, A549, Cisplatin

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Creative Commons Attribution 4.0 and The Open Definition

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The concepts of Appeal and Revision form the backbone of judicial review and procedural fairness in the Indian legal system. They provide an essential mechanism for correcting judicial or administrative errors and ensuring that justice is neither delayed nor denied. While appeals are statutory rights allowing a higher authority to re-examine facts and law, revisions are discretionary powers exercised to ensure the legality, propriety, and correctness of proceedings. This paper analyses the conceptual framework, statutory provisions, judicial interpretations, and the loopholes that affect the efficiency of the appeal-revision system in India. It further proposes reforms to make these mechanisms more time-bound, transparent, and accessible to all citizens

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Appeal Revision

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Creative Commons Attribution 4.0 and The Open Definition

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ABSTRACT: Microalgae can be used as a renewable energy source, as nutritional supplements, and as a source of pharmacological compounds. However, playing in insufficient light conditions usually limits their optimal growth. The research examines the efficacy of red and brown macroalgae-based Seaweed Liquid Fertilizers (SLFs) derived from Hypnea musciformis and Zonaria variegata in stimulating the development of green microalgae. Microalgal cultures were treated with the SLFs to evaluate their effects on growth rate, biomass yield, photosynthetic efficiency, and biochemical composition. The findings indicated that when macroalgae-derived SLF was used, algae grew and exhibited higher biochemical productivity than in the control cultures. The findings demonstrate the opportunities of macroalgae-based SLF as a natural growth factor for the extensive growth of microalgae, with sustainable potential for biofuel production, bioproduct synthesis, and environmentally friendly aquaculture development.

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 Keywords

Keywords: Macroalgae, Seaweed Liquid Fertilizer (SLF), Green algae, Antibacterial, Antioxidant.

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This study focuses on the quantitative determination of trace metal concentrations in edible mushroom samples using Inductively Coupled Plasma-Mass Spectrometry (ICP-MS). Mushrooms are known for their remarkable ability to accumulate essential and non-essential elements from their growth substrates, making them valuable bioindicators of environmental contamination. In this work, representative mushroom samples were collected from the market in Nellore, Andhra Pradesh, India. They are digested using a microwave-assisted acid digestion method before ICP-MS analysis. The concentrations of essential elements such as Fe, Zn, Cu, and Mn, along with potentially toxic metals including Pb and As, were accurately measured. Results show a considerable variation in metal accumulation among the samples, reflecting differences in soil composition and environmental exposure. Essential metals were found within acceptable nutritional ranges, while trace amounts of toxic elements were detected in certain samples, though generally below the permissible limits set by WHO and FAQ. The precision and sensitivity of ICP-MS enabled reliable quantification even at sub-ppb levels, demonstrating its superiority for multi-elemental analysis. These findings highlight the importance of continuous monitoring of metal content in edible mushrooms to ensure food safety and to assess their potential role in environmental pollution studies.

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Creative Commons Attribution 4.0 and The Open Definition

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Trace metals, toxicity, contamination, ICP-MS, spectrometry

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Creative Commons Attribution 4.0 and The Open Definition

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This study examines the factors influencing consumer adoption of electric two-wheelers, focusing on the role of AI technologies, socio-economic characteristics, and other key decision-making elements. As environmental concerns and rising fuel prices drive the demand for sustainable transportation, electric two-wheelers have emerged as a viable alternative. The integration of AI features such as voice controls, AI-powered navigation, and rider assistance systems is becoming crucial in shaping consumer preferences. The study aims to explore the socio-economic characteristics of respondents and how AI technologies influence their purchase intentions. By understanding the psychological, technological, and economic factors that impact customer decisions, this research offers valuable insights for manufacturers and marketers to refine their strategies, enhance product offerings, and improve user experiences. Ultimately, the study suggests that aligning technological innovations with consumer priorities could accelerate the adoption of electric two-wheelers, contributing to both environmental sustainability and market growth.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

AI technology, consumer adoption, purchase intentions, socio-economic factors, sustainable transportation, marketing strategies

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Creative Commons Attribution 4.0 and The Open Definition