Volume 10 | Issue 2 |

 Abstract

The trend of delaying marriage is rapidly increasing. The Indian institution of marriage has changed significantly, especially in the past 50 years. People are becoming less aware of the strict customs and standards surrounding marriage these days. We are seeing a rise in the number of singles or unmarried people, as well as an increase in the age at which people marry. Being single has replaced the system of marriage. The experience of being single differs for male and female due to the societal construction of gender. Given this context, the present study compares the problems, difficulties, challenges and social stigma that single male and female encounter on a daily basis.

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 Keywords

Single male, Single female, Problems, Difficulties, Challenges and Social stigma.

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 Abstract

C The health and productivity of bee colonies are critical to global ecosystems and agriculture, yet traditional beekeeping methods often lack timely and accurate data on hive conditions. BeeAware is an innovative IoT-based hive health monitoring system designed to provide real-time insights into beehive conditions through a combination of environmental and hive-specific sensors. The system integrates a DHT11 sensor to monitor temperature and humidity, an LDR sensor to measure ambient light levels, a rain sensor to detect precipitation, a weight sensor to track hive population and honey production, and a syrup level sensor to monitor the availability of supplemental feeding. These sensors are interfaced with a Raspberry Pi, acting as the central microcontroller for data collection and transmission. The entire setup is powered sustainably using a 12V solar panel coupled with a 12V battery and a 12V to 5V DC converter, ensuring uninterrupted operation even in remote apiary locations. Data collected is processed and can be visualized via an IoT dashboard, enabling beekeepers to make informed decisions regarding hive management, detect early signs of colony stress, and optimize productivity. BeeAware represents a scalable, energy-efficient solution for modern apiculture, promoting bee health through continuous, remote monitoring.

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 Keywords

IoT, Beehive Monitoring, Raspberry Pi, DHT11 Sensor, LDR Sensor, Rain Sensor, Weight Sensor, Syrup Level Sensor, Solar Powered System, 12V Battery, DC-DC Converter, Smart Beekeeping, Hive Health Monitoring, Environmental Sensors, Remote Sensing, Precision Apiculture.

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Indian Writing in English (IWE) has undergone a profound transformation over the past century, and one of the most defining features of this evolution is the rise and eventual dominance of women writers. Once peripheral to India's postcolonial literary canon, women authors now occupy central positions in both national and international literary spaces. Writers such as Anita Desai, Shashi Deshpande, Arundhati Roy, Kiran Desai, Jhumpa Lahiri, Kamala Das, and Chitra Banerjee Divakaruni have not only redefined the thematic boundaries of Indian literature but also reshaped its form, language, and critical ethos. This paper explores the trajectory of Indian women writers in English, examining their thematic concerns, literary innovations, and sociocultural impact. Their dominance is not simply a matter of publication or recognition-it is a sustained reclamation of narrative voice, identity, and space in a domain historically governed by patriarchal ideologies.

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Reclamation of Voice and Identity

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A significant number of Internet of Things (IoT) deployments are really making it possible for Smart City projects and efforts to be implemented all over the globe. Electronic devices and protocol suites are being installed in everyday objects in order to make them networked and connected to the Internet. This is being done in order to make the objects more useful. A research that was conducted by Gartner not so long ago found that by the year 2020, smart cities would have installed fifty billion linked items. Smart cities will be created via the use of these linked items. On the other hand, they will also introduce hazards and concerns over privacy. Not only have we observed the anticipated advantages, but we have also witnessed the hazards that have been introduced as a result of the many smart city programs and projects that have been implemented in recent years. There has been a description of the existing and future tendencies of smart cities in relation to the Internet of Things. Additionally, the link between Internet of Things and smart cities was examined. It has been stated what the driving forces are behind the emergence and development of smart cities and the Internet of Things. Finally, the shortcomings of the Internet of Things (IoT) and the ways in which they might be remedied when used to smart cities have been highlighted.

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 Keywords

Case Study, IoT Technologies, Smart City, Application.

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ABSTRACT: (After centuries, by the grace of God, a true man emerges, just as a Bayazid was born in Khorasan or an Owais in Qarn.)The atrocities of the Tatars and Hulagu, the sectarian animosity of the Safavids, the friendship of the Mughals with knowledge and excellence, the magnetic nature of the Indian subcontinent, and the hollow and barren humanity of Arabs and Persians compelled hundreds of scholars, Sufis, dervishes, artisans, and noble families to migrate. Among them was Qari Amir Saif al-Din Alavi Qadri and his son Qari Sheikh Nizam al-Din Bhikhari, may peace be upon him, who entered the region of Kakori in Awadh during the era of Humayun, traveling through various districts of India, and settled here with their entire family.

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KEYWORDS: Owais in Qarn, Magnetic Nature, Humanity of Arabs and Persians

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Human rights are rights inherent to all human beings, whatever our nationality, place of residence, sex, national or ethnic origin, race, religion, language, or another status. The Universal Declaration of Human Rights (UDHR) was adopted by the General Assembly on 10th December 1948. It consists of a Preamble and 30 Articles dealing with civil, economic, social, political and cultural rights. Indian Constitution is the largest written Constitution in the world, recognized as the supreme law of the land, which provides various Human rights for all the citizens and envisions a framework for the protection and promotion of the right to education. This Constitution was adopted on 26th November 1949 and came into effect on 26th January 1950, which contains a Preamble, six Fundamental Rights in Part III and some Directive Principles of State Policy in Part IV. The fundamental objective of this paper is to examine the Constitutional provisions related to Human Rights and the legal foundation of the Right to Education in India.

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 Keywords

Human Rights, Right to Education, Indian Constitution, Constitutional Provisions

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The Indian economy has experienced an unexpected shock since the start of the Covid-19 pandemic. Before COVID-19 hit, the economy was already in a terrible situation. The economy is anticipated to experience a prolonged period of decline due to the extended nationwide lockdown, the global economic collapse, and the resulting disruption of supply networks and demand. The length and intensity of the health crisis, the length of the lockdown, and how things develop after the lockdown is removed will all affect how much of an economic impact there will be. This article outlines the pre-Covid-19 state of the Indian economy, evaluates the shock's possible effects on different economic sectors, examines the measures the central government and Reserve Bank of India have so far announced to mitigate the economic shock, and offers a set of policy recommendations for particular industries.

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 Keywords

COVID-19, RBI, Lockdown, sector, slowdown, impact, measures

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 Abstract

Recent years have seen a significant increase in interest in the photochemistry of the azo (-N=N-) group due to its photodynamic features associated with the reversible trans-cis-trans isomerization cycle. The research investigates the effect of different substituents on aniline yellow dye in trans and cis forms. The best derivatives (AYC1/AYT1) are further explored with a graphyne sheet. The research gives valuable results and might be useful for photoswitching molecules. Method The structural, and electronic properties and UV-Vis absorption behavior of derivatives were examined by the computational analysis such as Density Functional theory (DFT), time-dependent DFT (Gaussian), and density of states (DOS). Additionally, utilizing molecular dynamics (MD) simulations (GROMACS) to explore the interactions between the graphyne and the isomers (E and Z) of aniline yellow

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 Keywords

Density functional theory, Azo compounds, Aniline yellow, Photoswitching, Molecular dynamics

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Sentiment analysis, commonly known as opinion mining, has emerged as a crucial aspect of Natural Language Processing (NLP), particularly in analyzing consumer feedback. This study investigates a variety of advanced techniques and methodologies employed in the sentiment analysis of online product reviews. We explore several approaches, including feature-wise sentiment analysis, aspect-based sentiment analysis (ABSA), and innovative implementations of deep learning and machine learning techniques such as BERT-based sentiment analysis, document-level sentiment assessment, and convolutional neural networks (CNNs) combined with ABSA. These methodologies aim to accurately capture sentiments, classify sentiment polarity, recognize sarcasm, and analyze the specific aspects and features highlighted in customer reviews. Through a rigorous evaluation of these techniques, we demonstrate their efficacy in precisely categorizing sentiments and extracting meaningful insights from customer opinions. The findings of this research significantly advance the field of sentiment analysis across various applications, including online product evaluations, restaurant assessments, mobile app feedback, and broader customer opinion analysis. By leveraging sentiment analysis, organizations can make data-driven decisions, refine their product strategies, and enhance customer satisfaction. This study underscores the importance of integrating multiple input techniques to enrich sentiment analysis capabilities. The key terms associated with this research include sentiment analysis, opinion mining, online product reviews, feature-wise sentiment analysis, ABSA, deep learning, machine learning, BERT, document-level sentiment analysis, CNN, and customer feedback analysis. In every pandemic that humans have faced, there are no effective and efficient applications for detecting face masks, which are highly required for transportation facility, densely populated areas, large- scale industries, and other organizations to ensure safety. During pandemic times, the people are advised to wear a face mask in the public place and wherever they meet with other people. However, the authorities are facing some challenges in monitoring a huge population with a different habit. The government requires an efficient solution which will validly manage the execution of the law, which sets up with the availability of the data rapidly and accurately. Face mask detection is a systematic procedure of finding whether a person is sporting a mask or not. Actually, the model uses reverse engineering technique of face detection where the face is detected using numerous machine learning algorithms for the purpose of security, verification, and surveillance. This Python training model for face mask detector, accepts the input datasets, loads the images, and pre-processes the images, and labels them using TensorFlow and Keras modules. Using your webcam, the system developed applies face mask detection correctly to each frame in the live video stream. Then the system will detect who is wearing mask and who is not wearing mask in real-time video stream using a webcam.

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 Keywords

Integrated Framework, Ensemble Learning, Feature Analysis, Speech Processing, Multimodal Learning, Pattern Recognition.

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 Abstract

Mahabharate Rajasuya Yaagasya Prasthavana-Ekam Pariseelanam

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Mahabharate Rajasuya Yaagasya Prasthavana-Ekam Pariseelanam

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Creative Commons Attribution 4.0 and The Open Definition