Abstract: Smoke detectors are critical devices for early fire detection and life-saving interventions. This research paper explores the application of Artificial Neural Networks (ANNs) in smoke detection systems. The study aims to develop a robust and accurate smoke detection model using ANNs. Surprisingly, the results indicate a 100% accuracy rate, suggesting promising potential for ANNs in enhancing smoke detection technology. However, this paper acknowledges the need for a comprehensive evaluation beyond accuracy. It discusses potential challenges, such as overfitting, dataset size, (...) and class imbalance, and presents strategies employed to address these issues. Additionally, the paper emphasizes the importance of alternative evaluation metrics, including precision, recall, and F1-score, to assess the model's performance comprehensively. Detailed information regarding the model architecture, data preprocessing, and hyperparameter tuning is provided to enhance the reproducibility of the research. The study also discusses ethical considerations and the implications of false positives and false negatives in smoke detection applications. While achieving 100% accuracy is a notable accomplishment, this paper calls for cautious interpretation and further validation in real-world settings. It concludes by highlighting areas for future research and improvement in smoke detection technology, emphasizing the need for practical deployment and the reduction of false alarms. (shrink)

Source: Author: Marwan Kadhim Mohammed, Wan Roselezam Wan Yahya Martin Amis's manipulation of the patriarchal concept of power is a notable indication of his transgressive attitudes that raise remarkable questions about the human identity. Transgressing power investigates the violation of the normal and familiar trends of literature in order to circulate a new discourse by which a new identity is reframed. Hence, the study of power in Martin Amis's novels, as an important technique of identity re-definition, is not taken (...) into consideration in the light of Foucault's theory of power. The objective of this study is to examine the role applied by transgression as a technique of subverting the common discourse of power in the field of identity re-formation. The study investigates the concept of power manipulated in Amis's Money to define the identity of the 'New Man'. Accordingly, the Foucauldian theory of power is taken as a framework of this study. The study reveals a conclusion in which the transgressive aspects of power are effectively utilized by Amis to re-define the identity of his protagonist in the novel. Although John Self-has finally lost his name and fortune, which are necessary demands to define one's self-in the patriarchal society, he finds his own new identity away from the materialistic norms of the common discourse. ]]>. (shrink)

Abstract: As the integration of Artificial Intelligence (AI) continues to permeate various sectors, the legal domain stands on the cusp of a transformative era. This research paper delves into the multifaceted relationship between AI and the law, scrutinizing the profound implications and innovative applications that emerge at the intersection of these two realms. The study commences with an examination of the current landscape, assessing the challenges and opportunities that AI presents within legal frameworks. With an emphasis on efficiency, accuracy, and (...) accessibility, AI technologies are reshaping traditional legal processes, ranging from document analysis and contract review to predictive legal analytics. Furthermore, the paper scrutinizes the ethical considerations and potential biases inherent in AI algorithms, exploring the delicate balance between technological advancements and the preservation of legal principles such as fairness, accountability, and transparency. The research also delves into the evolving role of legal professionals in navigating and overseeing AI applications, emphasizing the importance of responsible AI deployment. Drawing on case studies and real-world examples, this paper showcases instances where AI has already demonstrated its efficacy in legal contexts, highlighting successful implementations and identifying areas for improvement. The discussion extends to the evolving regulatory landscape, as legal systems grapple with the need to adapt and establish frameworks that ensure the responsible and ethical use of AI technologies. In conclusion, this research contributes to the growing discourse on the dynamic interplay between AI and the legal domain. By illuminating the potential benefits, ethical considerations, and regulatory challenges, it provides a comprehensive overview for legal practitioners, policymakers, and technologists alike, fostering a nuanced understanding of the evolving landscape where artificial intelligence intersects with the law. (shrink)

The Mamasapano Incident of January 25, 2015, marked a tragic episode in Philippine history, stemming from an operation aimed at neutralizing the suspected international terrorist, Zulkifli bin Hir, also known as Marwan. This operation, conducted by the Philippine National Police – Special Armed Forces (PNP-SAF), led to clashes resulting in casualties from both the SAF and MILF/BIFF members, as well as civilians, and the displacement of local residents. While the incident garnered national attention and spurred investigations primarily focused on (...) the casualties and political ramifications, the plight of the displaced civilians received inadequate scrutiny. Motivated by the impact on families associated with MSU – Maguindanao, situated near the conflict zone, this research delves into the conditions faced by Internally Displaced Persons (IDPs) in the aftermath of the Mamasapano Incident. By exploring the experiences of these respondents, the study contributes to the broader understanding of IDPs and the detrimental effects of armed conflict on society. Moreover, it aims to identify opportunities for mitigating such conflicts. The research objectives encompass examining the evacuation experiences, soliciting suggestions for supporting affected communities during times of conflict, and understanding the challenges faced by IDPs and coping mechanisms. Through an exploratory approach, the study investigates firsthand accounts of evacuation and post-return experiences in Mamasapano, Mindanao, Philippines. Findings reveal that during evacuation, respondents received basic assistance such as food, water, medicine, and clothing from various agencies, yet essential facilities like proper sanitation were lacking. Challenges encountered include food scarcity, inadequate water supply, overcrowding, and health issues. Upon return, observations of increased security presence and dwindling assistance highlighted the enduring impact of the incident on social, economic, educational, and health aspects of the community. In summary, this research sheds light on the overlooked plight of IDPs affected by the Mamasapano Incident, emphasizing the urgent need for comprehensive support and interventions to address their multifaceted challenges and facilitate sustainable recovery. (shrink)