Category Archives: Uncategorized

Abstract-The information relates to the use of substances that are harmful to one’s social, physical, mental, and emotional well-being, such as alcohol, opioids, tobacco, and some addictive medications like baclofen. This will have a complete impact on health. If used recreationally and developed into a habit of reliance. Substance misuse should be managed in its early stages since it cannot be stopped once it has developed into a habit. It can be challenging to stop using drugs if one has become habituated to doing so, and occasionally it can result in potentially fatal situations. When prescribed, some medications, such as opioids and non-opioid medications should be taken. However, longer periods of time should not be spent consuming them. And shouldn’t be stopped abruptly. Tapering the doses will help to progressively discontinue the consumption. In the event that consumption is abruptly stopped, coma or death may result. Substance abuse may influence vital organs over time, changing typical vital values over time. Because of reliance, each organ in the body will sustain harm through a variety of means.

Abstract-This research paper investigates the multifaceted landscape of Amazon Simple Storage Service (Amazon S3), a pivotal component of cloud infrastructure provided by Amazon Web Services (AWS). By synthesizing findings from academic papers, industry reports, and case studies, it explores the fundamental features, security considerations, best practices, and real-world applications of Amazon S3. The analysis underscores the imperative of configuring S3 buckets meticulously to mitigate security risks, citing numerous instances of misconfigurations leading to data breaches. Through an in-depth examination of security best practices advocated by experts, including access control policies (ACPs), encryption mechanisms, and monitoring protocols. Additionally, it evaluates the scalability, reliability, and versatility of Amazon S3, positioning it as an indispensable asset for enterprises across various sectors. By leveraging insights from diverse sources, this research paper offers a comprehensive understanding of Amazon S3’s capabilities and advantages, providing actionable recommendations for optimizing its usage while safeguarding data integrity and confidentiality.

Abstract-This paper discusses the aerodynamic performance of oblique wing configuration in transonic and supersonic flight regimes. By using CFD tools within the ANSYS, the research has explored the function of oblique wing towards wave drag reduction and efficiency enhancement. Pivot angle variations of 0°, 30°, 45°, and 60° were used in asymmetrically designed wing and analysed at Mach 0.9 and 1.2. Some critical parameters include CL, CD, and pressure distribution, through which the design attains optimum operating characteristics. Some results reveal wave drag at specific pivot angles with the oblique wing. As the wave drags show least values for specific pivot angles (30°: Mach 0.9; 45°: Mach 1.2), these result in great applicability in improved aerodynamic efficiency and adaptability in varied conditions of flight towards the further developments of high-speed aircraft technology.

Abstract-This research focuses on the design and development of an innovative seed sowing machine aimed at improving agricultural productivity through precision and efficiency. Traditional sowing methods, which are either manual or use basic machinery, face challenges like inconsistent seed spacing, high labor requirements, and frequent blockages in seed dispensing tubes. These issues lead to reduced crop yields, increased operational costs, and significant seed wastage.The proposed seed sowing machine addresses these limitations by integrating automated seed dispensing, consistent depth control, and a blockage detection system using sensors. This machine is designed to place seeds uniformly at a specific depth and spacing, enhancing germination rates and ensuring even crop growth. Testing results demonstrate improved accuracy in seed placement and reduced downtime, showing a potential to save up to 40% of labor compared to traditional methods.Overall, this seed sowing machine offers a cost-effective and efficient solution for small to medium-scale farmers, enabling more sustainable and productive farming. This research lays the groundwork for future advancements in automated agricultural machinery, contributing to the broader goal of technological innovation in agriculture.

Abstract-This paper discusses the identification of faults in a Francis turbine using vibration-based condition monitoring with Minitab and MATLAB. The vibration signals are analyzed to detect faults in the motor components of the turbine. Statistical analysis uses Minitab to identify trends, while MATLAB carries out advanced signal processing, including Fast Fourier Transform (FFT) and wavelet analysis, to extract fault features. The combined approach effectively diagnoses issues like misalignment and bearing defects, showing its value in predictive maintenance for improved turbine performance.

Abstract-Adaptive reuse is the best eco-friendly design strategy to repurpose existing building forms, stepping towards sustainability and a better environment. This type of revitalization is not restricted to buildings of historic significance but is also a smart strategy adopted in the case of archaic buildings. Customizing and reusing the existing built form not only saves money and profit but also a large amount of reduction in energy consumption and environmental impacts. Preservation, Rehabilitation, Restoration, and Reconstruction are major methods in bringing Adaptive reuse and Customization efficiently. Reusing the older vacant buildings for other purposes forms a very important outlook of any urban regeneration scheme and the adaptation process suggests opting for new technologies and design concepts that will support the older built to acclimate successfully to contemporary requirements without destroying the existing urban form. Adopting the adaptive reuse approach for the redevelopment of older vacant buildings provides added benefits to the regeneration of an urban area in a sustainable way, by transforming these buildings into usable and accessible units and providing a new sense of access to the public. While a large amount of historically built structures are being demolished and reconstructed. Adaptive reuse and customization could retain the built environment to the functions and needs and also maintain the historical facts and cultural factors.”

Abstract-Youth expect religion to create meaning in life. These expectations play a significant role in practised religion and significant changes in the religious landscape. Participation in places of worship continues to decline. Organised religion might be facing a shifting landscape but this does not mean people are shunning religion. The interactions between religious institutions and an individuals’ perspectives of religion are investigated to reveal the transformation of religious practices in Singapore, from the lens of globalization and migration. Kierkegaard’s Theory of Existentialism is used along with non-probability purposive sampling with an objective to explore how globalisation has affected religious practices of Christian youth in Singapore and to investigate how migration has affected religious practices among Christian youth in Singapore. The key informants are six young Singaporean Christian adults between 25 and 30. Qualitative approach, semi-structured interviews, open-ended questions, in-depth interviews and thematic analysis is used.

Abstract-Multimodal emotion recognition is essential for advancing human-computer interactions and enabling applications like mental health monitoring and social robotics. This study focuses on utilizing text, audio, and motion data from the IEMOCAP dataset to develop independent models that capture unique emotional cues from each modality. The audio model employs a hybrid architecture combining Convolutional Neural Networks (CNN), Multi-Head Attention, and Gated Recurrent Units (GRU), achieving an accuracy of 81%. The text model leverages a CNN-based approach inspired by Temporal Convolutional Networks (TCN), achieving 94% accuracy. For motion data, a Spatio-Temporal Graph Convolutional Network (ST-GCN) was implemented, achieving 63% accuracy. A score-level fusion strategy integrates these models, improving the overall recognition performance. Evaluations using metrics like accuracy, precision, and recall demonstrate how multimodal approaches can provide a more accurate and reliable emotion recognition system by combining complementary information from diverse data types.

Abstract-This study aimed to develop a prototype of an automated smart plant watering system for urban home gardening, focusing on the reliability and functionality of its monitoring, notification, and water dispensing features. The system incorporated components such as the Arduino Uno R4 WiFi, DHT22 sensor, soil moisture and water level sensors, a raindrop sensor, and a submersible pump to address urban gardening challenges. The study evaluated the accuracy of the system’s sensors, the real- time data display, and SMS notifications, as well as the precision of water dispensing based on soil moisture levels. Results indicated high reliability, with most sensors achieving accuracy rates between 90% and 100%. The soil moisture sensor provided consistent readings, while the raindrop and water level sensors performed with near- perfect accuracy, enabling precise environmental monitoring. Notification features, including the LCD display and SMS alerts, were effective, with minimal delays in SMS reception. The water dispensing system demonstrated precision, adjusting water volume according to soil moisture levels, achieving an average water conservation effectiveness of 85% or higher. Additionally, a weak negative correlation between soil moisture and water dispensed highlighted the system’s responsiveness to environmental conditions. In conclusion, the prototype proved effective in monitoring and responding to soil conditions while minimizing water usage, making it a viable solution for urban home gardening. Future work could explore IoT-based enhancements for improved real-time monitoring, remote control, and data logging to further optimize system functionality.

Abstract-This article explores the intersection of reception theory and the value of adaptation in literature, visual arts, music, and theater. Reception theory, pioneered by Hans Robert Jauss, shifts the focus from the creator to the audience, emphasizing the evolving cultural and personal contexts that shape how stories are interpreted. Adaptations serve as transformative dialogues between the original work, its reimagining, and contemporary audiences, ensuring stories remain relevant across time and space. Examples such as Jean Rhys’s Wide Sargasso Sea, Alfred Hitchcock’s Rebecca, and Lin-Manuel Miranda’s Hamilton illustrate how adaptations reframe narratives to address new perspectives, cultural dynamics, and societal values. This article highlights how the reinterpretation of familiar tales enriches their meaning, engages diverse audiences, and underscores the timeless power of storytelling. By applying reception theory, the article demonstrates that the true value of adaptations lies in their ability to connect, challenge, and inspire audiences across generations.