Volume 12 | Issue 7 |

 Abstract

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Confinement, Nanoparticle, Characterization, Diffraction Spectroscopy

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Creative Commons Attribution 4.0 and The Open Definition

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Throughout the course of civilization, there has been a significant shift in people's attitudes. The alteration in behavior is evident as individuals have actively contributed to the destruction of vegetative cover, initiated numerous industries, established housing units, and introduced various machines, among other developments. However, some of these innovations have negative repercussions on the environment. The emissions produced by machines and other equipment contribute to the depletion of the ozone layer, a crucial shield safeguarding humans, plants, animals, and other organisms from the harmful radiations of the sun. Nowadays there is a tremendous increase in the growth of various industries. Along with the development of industries, the heat of the sun reaching the ground also increased. This increase in the sun's radiation directly increases the heat on the all the structures. Most of the dwelling units suc h as flats, apartments, residential housing units etc. are made of concrete structures. Hence people may find difficulties of heat in their dwelling units. The needs of the people are increasing a lot resulting in providing more facilities and better living conditions. Many new concrete buildings are arising in the world day by day. Around 70% of total population is using concrete buildings in their day to day activities for fulfilling their various needs. Individuals rely on concrete structures for various purposes such as residential, commercial, and industrial use. Those residing in hot regions encounter significant challenges due to the thermal characteristics of concrete buildings. These structures absorb heat throughout the day and release it in the evening and night. Upon returning home after a day of strenuous activities, many people find it challenging to cope with the intense heat trapped in their residential units during the hot season. Therefore, a project has been initiated with the objective of addressing the theme "Mitigating Thermal Impact within Concrete Roof Structures for an Improved Indoor Environment," aiming to create a more comfortable atmosphere within these structures.

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Roof Structures, Residential, Commercial, and Industrial

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Ensuring road safety is vital for reducing accidents and enhancing public safety as global traffic increases. The Traffic Sign Classification System is essential for aiding both human drivers and autonomous vehicles in recognizing and obeying traffic signs. This technology utilizes advanced deep-learning algorithms, customized for specific road conditions and regions, to accurately detect signs in real-time by integrating weather, traffic history, and road environment data. The system identifies the most reliable deep-learning algorithm for traffic sign recognition through extensive analysis and validation, guaranteeing precision and reliability. This research not only supports individual drivers but also improves overall road safety, reduces traffic-related fatalities, and advances autonomous driving technologies. By promoting intelligent transportation systems, this project contributes to safer and more efficient road networks. the Traffic Sign Classification System marks a significant progression in road safety technology, offering effective solutions to modern traffic management challenges through state-of-the-art algorithms and data-driven insights.

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Creative Commons Attribution 4.0 and The Open Definition

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This research paper explores the multifaceted nature of women's involvement in household decision making within diverse sociocultural contexts. Drawing upon a combination of qualitative interviews, ethnographic observations, and survey data, the study examines the complex interplay of cultural norms, socioeconomic factors, and individual agency shaping women's roles in decision-making processes. Findings highlight the significance of contextual nuances in determining the extent of women's participation and influence, as well as the evolving nature of gender dynamics within households. The paper contributes to a deeper understanding of women's agency and empowerment within domestic spheres, offering insights for policymakers, practitioners, and researchers seeking to promote gender equality and social change.

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decision making, women, households, education, level of income, financial independence.

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Creative Commons Attribution 4.0 and The Open Definition

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Abstract: Love and hatred are complementary to each other. They are dependent also on the other. They become important variables. Love and hatred are abstract quality. Love is desirable but hatred is undesirable. These emotional aspects are reflected through real life to literature and vice versa. Ruskin Bond is a world-famous writer writing in Indian English with Indian spirit. His novella Susana's Seven Husbands bears the traces of love and hatred. From beginning to end love affairs of Susana is treated with her equal portion of hatred. Love with all lust and hatred with unfulfilled lust make the edible. RK Narayan's post-colonial novel The Guide is a romantic love history among Raju, Rousie and Nalini. This is a trilogy love and hatred story of the two male and one female character. Love is proved to be transitory whereas hatred is proved to be permanent in the lives of Raju, the guide, Rousie, the dancer and Nalini the research scholar. It also testifies that people were not free from superstition. Superstitious mass had love for unscientific faith both consciously and unconsciously. Khushwant Singh's Train to Pakistan is mostly popular for it's the theme of partition. But love and hatred theme make the partition theme authentic. India's heart is parted with the creation of new country Pakistan and India. Love between Hindu-Sikh and Muslim are divided and bitter enmity is created. That enmity takes the form of hatred, murder and anarchism in the border side Indian village Mano Majra. The protagonist, Juggat Singh is the representative of love and hatred when love a Muslim girl, Nooran and hates communalism and rioters aversely. The two novellas and one novel by the three Indian English writers of different times and temperatures help to heighten the two immortal elements love and hatred immensely.

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Key-words: love, hatred, post-colonial, partition, communalism

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Creative Commons Attribution 4.0 and The Open Definition

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This paper presents an integrated approach to enhance software defect prediction and sentiment analysis using advanced machine learning techniques. For software defect prediction, we employ a Support Vector Machine (SVM) model to identify potential defects in software components. The SVM model is trained on historical software metrics and defect logs, incorporating feature selection and engineering to improve prediction accuracy. Additionally, we address sentiment analysis by using an optimized Logistic Regression model. Text data is preprocessed and transformed using a Count Vectorizer, with hyperparameters fine-tuned via Grid Search to enhance model performance. This dual approach demonstrates the versatility and effectiveness of machine learning in various applications, showcasing significant improvements in both software defect prediction and sentiment analysis. The combined methodologies not only improve defect prediction in software development but also provide valuable insights into textual data analysis, illustrating the broad applicability and robustness of machine learning techniques.

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 Keywords

Software Defect Prediction, Support Vector Machine, SVM, Logistic Regression, Sentiment Analysis, Count Vectorizer, Grid Search, Machine Learning, Feature Engineering, Hyperparameter Tuning, Text Analysis, Software Quality Assurance, Predictive Modeling

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Td-algebras, multiplier, commutative, positive implicative.

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Creative Commons Attribution 4.0 and The Open Definition

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The rapid growth of big data analytics has transformed various sectors such as healthcare, finance, and marketing by enhancing decision-making, operational efficiency, and service personalization. However, this rapid growth also raises significant ethical issues that need to be addressed to ensure responsible usage. This paper examines three primary ethical concerns: economic disparity, market manipulation, and privacy invasion. The paper explores how big data can exacerbate economic inequality by reinforcing existing biases and providing disproportionate advantages to those with access to extensive data resources. It examines the implications for marginalized communities and the potential for data-driven policies to widen the economic gap. The analysis highlights how big data facilitates manipulative market practices, such as personalized pricing and targeted advertising, which can exploit consumer behaviour and undermine fair market competition. It investigates the ethical ramifications of these practices and their impact on consumer trust and market integrity. The paper addresses the pervasive issue of privacy invasion, discussing how extensive data collection and analysis can lead to significant breaches of personal privacy. It considers the balance between data utility and individual rights, evaluating the effectiveness of current data protection measures. By applying ethical theories such as utilitarianism, deontology, and virtue ethics, the paper provides a nuanced understanding of these challenges and underscores the need for robust ethical frameworks. The paper also reviews current regulations like GDPR and CCPA, highlighting regulatory gaps and proposing best practices, and policy recommendations to mitigate these challenges. Ultimately, this paper aims to emphasize the ethical concerns in big data practices and suggest strategies for fostering a more equitable and transparent data-driven economy.

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ethical, concerns, big data, artificial intelligence, machine learning, economic disparity, market manipulation, analytics, General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA)

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Creative Commons Attribution 4.0 and The Open Definition

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Mathematical models are used in applied mathematics in conjunction with engineering disciplines (computer science, electrical engineering) and natural sciences (physics, biology, earth science, and chemistry). Using mathematical modeling is a crucial for comprehending and resolving complex real-world issues. It entails utilizing mathematical terminology and ideas to theoretically model systems in order to study, forecast, and interpret their behavior. Mathematical modeling has many uses, ranging from managing pandemics to space exploration, which highlights its vital role in knowledge advancement and solving pressing global issues.

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Creative Commons Attribution 4.0 and The Open Definition

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Modeling, Analytics, Real-world problems, Prediction of Behavior

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Creative Commons Attribution 4.0 and The Open Definition

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This paper presents an accessible overview of pattern searching algorithms, which are vital tools in computer science for finding specific patterns within data. It break down the complexities of these algorithms into understandable concepts suitable for readers unfamiliar with advanced technical jargon. By employing straightforward language and examples, this paper aim to provide a clear understanding of how pattern searching algorithms function and their significance in various applications.

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Creative Commons Attribution 4.0 and The Open Definition

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Rabin karp,suffix trees,pattern mining,Deep learning

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Creative Commons Attribution 4.0 and The Open Definition