Volume 14 | Issue 3 |

 Abstract

Abstract The present work reports the synthesis and humidity sensing properties of spinel cobalt ferrite (CoFe?O?) nanoparticles prepared via a simple and cost-effective sol-gel auto-combustion technique. The synthesized material was characterized for its structural, morphological, and humidity sensing properties. The humidity sensing measurements were carried out at room temperature. The fabricated sensor exhibited a maximum humidity response of 30.29%, indicating effective interaction between water molecules and the active surface of the sensing material. The enhanced sensing performance is attributed to the porous morphology and high surface activity of CoFe?O? nanoparticles, which facilitate efficient adsorption and desorption of moisture molecules. Furthermore, the sensor demonstrated good repeatability and appreciable long-term stability, retaining nearly 95% of its initial response after 15 days of testing. The response variation during the stability period was minimal, confirming the reliability of the prepared sensing material for practical humidity monitoring applications. The obtained results suggest that sol-gel-derived CoFe?O? is a promising candidate for low-cost and efficient humidity sensor devices.

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 Keywords

Keywords: CoFe?O? nanoparticles, Sol-gel synthesis, Humidity sensor, Room temperature sensing.

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Artificial Intelligence (AI) has emerged as one of the most transformative technologies of the 21st century. It has significantly influenced industrial growth, economic productivity, technological innovation, and employment generation across the world. In India, AI is increasingly being adopted in sectors such as manufacturing, agriculture, healthcare, transportation, finance, education, and governance. Bihar, traditionally considered an agriculture-based and economically backward state, possesses immense potential to utilize AI for industrial development and socio-economic transformation. The present study examines the role of Artificial Intelligence in industrial development in Bihar. The study highlights the importance of AI in improving productivity, reducing operational costs, enhancing efficiency, promoting innovation, and creating employment opportunities. It also explores the application of AI in manufacturing industries, agriculture-based industries, small and medium enterprises (SMEs), logistics, healthcare industries, and digital services in Bihar. The research further analyzes government initiatives, digital infrastructure development, startup ecosystems, skill development programs, and investment opportunities related to AI technologies. Bihar's growing digital connectivity, expansion of educational institutions, and increasing use of information technology provide favorable conditions for AI-based industrial growth. Despite significant opportunities, Bihar faces several challenges in AI adoption, including inadequate digital infrastructure, shortage of skilled manpower, limited industrial investment, lack of research facilities, low technological awareness, and financial constraints. Addressing these challenges through policy reforms, public-private partnerships, AI education, and technological innovation can accelerate industrial development in the state. The study concludes that Artificial Intelligence can become a powerful tool for transforming Bihar's industrial economy. Proper implementation of AI technologies in industries, governance, agriculture, healthcare, and infrastructure development can improve productivity, employment generation, and economic competitiveness. AI-driven industrialization can help Bihar emerge as a technologically advanced and economically progressive state in the future.

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 Keywords

Artificial Intelligence, Industrial Development, Bihar, Digital Economy, Automation, Innovation, Employment, Technology

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The present paper evaluates the domestic solid waste management: A case study in Chandigarh (U.T.). Rapid urbanization, population growth and changing consumption patterns have significantly increased the quantity and complexity of municipal solid waste (MSW), which is now major source of waste. Chandigarh is the first city in India developed in a planned manner which has helped in developing a comparatively better solid waste management in comparison to other Indian cities. This study is based on primary data, collected from Chandigarh through questionnaires. The study aims to investigate the management of domestic solid waste in Chandigarh. In conclusion, the study finds that food waste is primary waste component across area; conversely, the highest percentage of plastic and paper in rural areas. The garbage is primarily collected by mini tractor. Finally, 52 percent of respondents reported facing problems due to garbage disposal in open areas.

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 Keywords

Consumption Pattern, Domestic Solid Waste, Garbage Disposal, Municipal Waste, Rapid Urbanization.

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This paper attempts to analyze the trade policies of India and Japan, specifically in the post-World War II era. This period is significant because while Japan underwent radical economic, social, and political transformations following the war, India simultaneously gained its independence. Foreign trade plays a monumental role in the economic progress of any nation, which is why it is often referred to as the "Engine of Growth." To accelerate the development process, India initially emphasized policies of licensing, permits, quotas, Import Substitution, and Export Promotion after independence. However, post-1991, the focus shifted toward the policies of Liberalization, Privatization, and Globalization (LPG), along with a significant emphasis on the "Look East Policy."

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 Keywords

Radical transformations, Import Substitution, Foreign Trade Policy, EXIM Policy, Engine of Growth, Reform, Primary contributor, Export-led Growth Model, Look East Policy.

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Creative Commons Attribution 4.0 and The Open Definition

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The rapid integration of Artificial Intelligence (AI) tools such as ChatGPT in education has significantly transformed students' learning processes. This study examines the impact of ChatGPT on students' critical thinking and writing skills through an experimental research design. A total of 120 undergraduate students were divided into two groups: an experimental group (ChatGPT users) and a control group (non-users). Both groups were assigned identical academic writing tasks over a two-week period. The performance of the participants was evaluated using standardized rubrics focusing on coherence, argument quality, originality, and analytical depth. The findings reveal that while students using ChatGPT demonstrated improved writing structure, grammar, and organization, their critical thinking and originality scores were comparatively lower than those of the control group. On the other hand, students who did not use ChatGPT exhibited stronger analytical depth and independent reasoning, although their writing mechanics were weaker. The study concludes that ChatGPT serves as an effective assistive tool for improving writing skills but may hinder the development of critical thinking if used excessively. A balanced and guided integration of AI tools in higher education is therefore recommended.

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ChatGPT,Artificial Intelligence, Critical Thinking, Writing Skills, Higher Education

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 Abstract

Social Media Algorithm aur yuvaon mein tanav prabandhan: ek gunatmak anveshan

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Social Media Algorithm aur yuvaon mein tanav prabandhan: ek gunatmak anveshan

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 Abstract

Liver abscess is a serious hepatobiliary condition characterized by localized pus formation within the liver parenchyma, most commonly of pyogenic or amoebic origin. Cholelithiasis, a prevalent biliary tract disorder, can act as an important etiological factor for liver abscess through ascending biliary infection and obstruction. The coexistence of liver abscess with cholelithiasis represents a clinically significant entity due to its diagnostic complexity, potential for rapid deterioration, and need for timely intervention. In this case, we report a case of a male patient who presented with pain in abdomen at right hypochondriac region, fever and anorexia. The management strategies of liver abscess associated with cholelithiasis is discussed, emphasizing the importance of early recognition and integrated hepatobiliary care to reduce morbidity and mortality.

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Liver abscess, Cholelithiasis

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Creative Commons Attribution 4.0 and The Open Definition

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This study was conducted to assess and compare the knowledge regarding risk factors of cardiovascular diseases among male and female residents of Nashik City. A quantitative comparative research design was adopted, and a total of 100 participants were selected using convenience sampling. Data were collected using a structured questionnaire consisting of socio-demographic variables and a 25-item knowledge assessment tool. The findings revealed varying levels of knowledge among participants, with differences observed between males and females. The study also identified significant associations between knowledge levels and selected demographic variables. The results highlight the need for targeted health education and awareness programs to improve understanding of cardiovascular disease risk factors and promote preventive practices in the community.

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Cardiovascular diseases, Risk factors, Knowledge, Gender comparison, Awareness, Prevention

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 Abstract

Jela Dakshin Chobbish Parganay Procholito Kutir Shilpo

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Jela Dakshin Chobbish Parganay Procholito Kutir Shilpo

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

With the increasing population in urban residential complexes, the management of visitors, residents, and maintenance staff has become a critical challenge in ensuring safety, efficiency, and convenience. Traditional manual systems for entry management and maintenance service allocation are time-consuming, prone to errors, and lack centralized control. To address these limitations, this project proposes a Machine Learning-based Gated Community Resident and Visitor Management System, designed to automate visitor approvals, record maintenance, and staff allocation through intelligent data-driven decision-making. The proposed system comprises two primary modules: (1) Visitor Management and Approval, and (2) Intelligent Staff Allocation for Residential Issues. In the first module, visitor access requests are submitted digitally and can be approved by the resident, the security staff, or automatically by a Machine Learning model. The ML model is trained on historical visitor data, including visit frequency, purpose, time of entry, and resident feedback, to predict the likelihood of visitor authorization. This predictive approval mechanism reduces manual dependency and enhances overall community security. All visitor data is stored securely in a MySQL database, enabling real-time monitoring, historical tracking, and anomaly detection. The second module focuses on automated staff allocation for maintenance requests, such as plumbing, electrical work, and housekeeping. A supervised learning algorithm evaluates parameters including staff specialization, current workload, proximity, and previous task efficiency to assign the most suitable staff member for each task. This ensures optimal resource utilization, minimal response time, and improved service quality. The system is developed using Python, Django Framework, and Scikit-learn for machine learning model implementation. The architecture integrates a web-based interface for real time interaction between residents, visitors, and staff. The backend ensures secure authentication, seamless data flow, and predictive analytics capabilities. Experimental testing demonstrates that the system reduces visitor processing time by approximately 40% and increases staff allocation efficiency by 35% compared to traditional manual systems. This project presents a scalable, intelligent, and secure solution for modern gated community management, contributing to the development of smart residential ecosystems aligned with emerging smart city initiatives.

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 Keywords

Machine Learning, Smart Gated Community, Visitor Authentication, Staff Allocation, Predictive Analytics, Django, Intelligent Automation, Smart City Solutions.

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Creative Commons Attribution 4.0 and The Open Definition