Volume 14 | Issue 3 |

 Abstract

Now a days Solar Energy is very useful. Many people are using solar panels, but they don't know how to use solar panels correctly due to lack of knowledge about panels. In this project "Dynamic Generative AI Framework for Smart Solar Panel Efficiency Enhancement" an assistant is introduced, to help users understand solar panels easily. Users can give inputs as per their doubts such as panel condition and any queries. Then Assistant analyses the inputs and gives best tips in a simple natural language in bilingual language. This system uses Gemini-2.5-Flash large language model through its API key to generate human-like text based on panel condition, location. Overall, this project gives an hallucination rate of 20%, ROUGE-L score of 78% and METEOR score of 80%. This confirms effectiveness of Gemini-2.5-flash model in generating solar maintenance tips.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Solar Energy, Solar Panels, AI assistant, Panel efficiency, Gemini-2.5-Flash, Bilingual suggestions

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Creative Commons Attribution 4.0 and The Open Definition

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This study evaluates the impact of a self-instructional on knowledge and attitudes towards the Human Papilloma Virus (HPV) vaccine among school students in Bhopal, India. Recognizing HPV a leading cause of cervical cancer mortality in women, the study aims to bridge the knowledge gap related vaccination amongst adolescents. A quantitative pre-experimental design was utilized, involving 200 students (ages915) who pre- and post-test following the intervention. Results indicated a significant increase knowledge scores (from 11.2 to 21.96, p < .) and a shift in attitudes, with % of participants achieving an adequate attitude post-intervention. Notably, demographic factors such as place of residence significant correlations with baseline scores. The findings endorse the self-instructional booklet an effective tool for improving vaccine, highlighting its for integration into health curricula for cervical cancer.

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 Keywords

HPV Vaccine, Cervical Cancer, Self-Instructional Booklet, School Students, Knowledge, Attitude, Bhopal

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

National Education Policy (NEP) 2020 is a historic and far-reaching reform initiative in India's education system. Its objective is not to limit education only to academic achievement but to connect it with social responsibility. Keeping in view the social, economic, and cultural needs of the 21st century, this policy emphasizes the development of an inclusive, equitable, and value-based education system. The present research paper analyzes the concept of social responsibility under the National Education Policy 2020, its significance, and its major principles such as inclusiveness, equality, and community participation, along with their social impacts. The purpose of this study is to clarify how the National Education Policy 2020 attempts to connect the deprived and weaker sections of society with the mainstream and how it makes education an effective medium of social transformation. In this study, the researcher has used secondary data, which includes government documents, the National Education Policy 2020, reports of NCERT and UGC, books, and research journals. Through descriptive and analytical research methods, the study shows that inclusive and equitable education helps strengthen social justice, gender equality, and community development. The conclusion of the study indicates that the National Education Policy 2020 plays an important role in making education socially useful and in developing responsible, ethical, and aware citizens. This policy not only improves the quality of education but also promotes social harmony, participation, and self-reliance. Thus, the National Education Policy 2020 can be considered an important step toward building a socially responsible education system in India. In this way, the National Education Policy 2020 represents a strong effort to connect the Indian education system with social responsibility. Principles such as inclusiveness, equality, an integrated approach, and community participation link education with the real issues of society and can lead India toward a just, equitable, and developed society.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

National Education Policy 2020, Social Responsibility, Inclusiveness, Equality, Community Participation, Social Impact.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Efficient handling of inventory plays a vital role in the smooth functioning of electronic retail businesses. Conventional inventory practices are largely manual and often lead to problems such as inaccurate stock information, delayed transaction records, and difficulty in monitoring product movement. This paper proposes an ElectroMobile Inventory Management System, a software-based solution developed to organize and manage electronic products including mobile phones, televisions, air conditioners, refrigerators, and laptops. The system integrates inventory control, sales processing, and report generation into a unified platform that automatically updates stock quantities after each transaction and securely stores all data in a centralized database. A layered system architecture is adopted to enhance reliability, data security, and system scalability. Experimental observations indicate that the system delivers fast response time, precise data handling, and dependable report generation. By minimizing manual intervention and reducing operational errors, the proposed system offers an effective and user-friendly approach for improving inventory accuracy and business performance in electronic retail environments.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

ElectroMobile Inventory Management System, Inventory Automation, Electronic Retail Management, Stock Monitoring, Sales Processing, Database Management, Report Generation, Real-Time Inventory.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Beyond 'Choukathe Nishiddho Alpana' –Listening to 'Dahangatha' : The Poetries of Manabendranath Saha

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Beyond 'Choukathe Nishiddho Alpana' –Listening to 'Dahangatha' : The Poetries of Manabendranath Saha

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Creative Commons Attribution 4.0 and The Open Definition

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Background: Substance abuse has become a worldwide and ever-growing issue, especially in the Indian scenario. Chemical substances that cause transient feelings of euphoria or excitement are the main causes of this phenomenon; however, chronic exposure often ends in dependence and pathological addiction. There is epidemiological evidence highlighting the increased vulnerability of adolescents for whose mental health trajectory, a confluence of psychological determinants in the psychosocial environment is often detrimental to psychological resilience, including powerful peer influence. Once entrenched in an addiction, individuals tend to make drug use the first priority in their lives, with dire personal and societal ramifications. Accordingly, there is an imperative need to design education interventions that enlighten the etiological factors and detrimental consequences of substance abuse to reduce its prevalence at the national level. Aim: The aim of this empirical research work was to identify and critically examine the antecedent variables that result in substance misuse among senior secondary school pupils. Methods: A quantitative, descriptive, and cross - sectional design was used to interrogate the possible catalysts for substance abuse in this demographic cohort. Data collection was aided with a self-administered, researcher-constructed questionnaire carefully designed to capture salient risk factors and behavioral correlates. Result: Results of analyses of the resultant data set showed that alcohol was the most easily accessible psychoactive agent, with 83% of respondents acknowledging its prevalence. Moreover, reduced parental supervision became the most important risk factor, mentioned by 68% of the participants. Paradoxically, some 73 per cent of students blamed substance misuse for the loss of personal self-control, and as many blamed the lack of institutional education and awareness programmes as substantially contributing to the problem. Conclusion: The results provide empirical support that peer pressure with inadequate parental supervision is the major explanation system for substance abuse among senior secondary school students.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Substance abuse, antecedents, contributory determinants

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A 42-year-old male diagnosed with brainstem glioma who presented with neurological symptoms. MRI revealed a heterogeneously enhancing lesion in the midbrain region. The patient underwent external beam radiotherapy (EBRT) using Stereotactic Radiotherapy (SRT) technique with a total dose of 54 Gy in 27 fractions over four weeks. He tolerated treatment well with minimal side effects. This case emphasizes the importance of early imaging, accurate localization, and targeted radiotherapy in the management of brainstem glioma.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Brainstem glioma, Stereotactic radiotherapy, Magnetic resonance radiotherapy, High grade glioma, Neuro-oncology.

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Creative Commons Attribution 4.0 and The Open Definition

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Overall, this research contributes to the growing literature on the integration of Artificial Intelligence in Human Resource Management and provides insights for organizations seeking to optimize recruitment strategies in the evolving digital workplace. The research methodology presented in the paper is based on the pilot study of the topic.

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Creative Commons Attribution 4.0 and The Open Definition

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Artificial intelligence,Human resource,recruitment

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Ferrofluids are colloidal suspensions of magnetic nanoparticles in carrier liquids that exhibit unique magnetorheological properties. Kerosene-based ferrofluids containing oleic acid-coated magnetite (Fe?O?) nanoparticles have gained attention due to their excellent thermal stability, low volatility, and superior dispersion characteristics. This review examines the synthesis methodologies, characterization techniques, and diverse applications of oleic acid-coated kerosene-based Fe?O? ferrofluids. We analyzed chemical co-precipitation and thermal decomposition methods for Fe?O? nanoparticle synthesis, emphasizing oleic acid's role as a surfactant in achieving stable colloidal dispersions. Characterization approaches discussed include X-ray diffraction (XRD) for phase identification, transmission electron microscopy (TEM) for morphological analysis, Fourier transform infrared spectroscopy (FTIR) for confirming oleic acid coating, vibrating sample magnetometry (VSM) for magnetic property evaluation, and rheological measurements for assessing flow behavior. The chemical bonding mechanisms between oleic acid and magnetite surfaces are critically analyzed. The review highlights how oleic acid surface modification prevents particle agglomeration and enhances long-term stability in non-polar kerosene carriers. Characterization reveals distinct patterns in XRD peaks, magnetization curves, and viscosity-temperature relationships governing ferrofluid performance. Kerosene-based ferrofluids demonstrate superior performance in heat transfer enhancement for cooling systems, damping applications in shock absorbers and vibration control, and magnetic fluid sealing technology for rotary seals and vacuum feedthroughs. Emerging biomedical applications include drug delivery and magnetic hyperthermia therapy. This review synthesizes current knowledge on oleic acid-coated kerosene-based Fe?O? ferrofluids and identifies future research opportunities in nanoparticle size optimization, surface chemistry modification, and application-specific formulations, serving as a resource for researchers working on ferrofluid development across technological domains.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Ferrofluids, Magnetite nanoparticles, Oleic acid, Kerosene, Chemical co-precipitation

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The study explores the growing career opportunities in AI-driven marketing and how artificial intelligence is transforming the marketing industry. With the rapid development of technologies such as machine learning, data analytics, and automation, businesses are increasingly relying on AI to understand consumer behavior, personalize marketing strategies, and improve decision-making. This research examines the role of AI tools in modern marketing practices, the skills required for professionals to build a successful career in this field, and the emerging job roles created by AI integration. The study also highlights how AI enhances efficiency, improves customer engagement, and helps organizations gain a competitive advantage. Furthermore, it analyzes the challenges, ethical considerations, and future prospects of AI-driven marketing careers. The findings suggest that professionals who combine marketing knowledge with AI and data-driven skills will have significant career opportunities in the evolving digital economy.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

AI-driven marketing, Artificial Intelligence, Digital Marketing, Marketing Automation, Data Analytics, Consumer Behavior, Career Opportunities, Machine Learning in Marketing, Marketing Technology, Future of Marketing.

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Creative Commons Attribution 4.0 and The Open Definition