مطالب

The present paper analyzes Jorie Graham’s “Sea Change”, the eponymous poem of her 2008 poetry collection, through Julia Kristeva’s theories on semiotic and the abject. By tracing the historical attitudes towards embodiment, this research attempts to examine Graham’s outlook towards the mind/body and by extension nature/culture dichotomies in her poetry. The previous studies on the Sea Change collection have mostly focused on Graham’s formal structures and ecological concerns; no other research has used Kristeva’s theories to examine the importance of one’s embodied experience of the world in her poetry to reveal how negative attitudes towards the body lead to a fractured existence for the human subject. Graham’s poetic language addresses the neglect to which the semiotic has been subjected, redefines the body in terms that are not abject and opens up a safe cultural space for it. Her poetry illuminates how mystification and degradation of the body have a positive correlation with oppression of the nature, as concepts belonging to similar dichotomous lines of thought, and highlights the call for a re-evaluation of the attitudes towards the human subject’s existence in the world.

Smart packaging plays a pivotal role in food distribution by integrating innovative technologies to enhance product safety, quality, and efficiency throughout the supply chain. Leveraging smart packaging minimizes waste, reduces spoilage, and enables real-time monitoring. However, producers face a few challenges with smart packaging, including high initial investment costs, compatibility issues with existing infrastructure, and regulatory hurdles concerning data privacy and safety standards. Additionally, ensuring widespread adoption and addressing consumer acceptance pose significant challenges and the need for continuous innovation to keep pace with evolving market demands and technological advancements. Therefore, this study aims to identify the current landscape of smart packaging within food distribution, outline the main themes within this field, highlight potential areas for further study, and provide a roadmap for future research endeavors. To fulfill this aim, a comprehensive bibliometric analysis was undertaken, utilizing data extracted from the Scopus database. A total of 1,094 documents relevant to the chosen keywords were successfully gathered for analysis. Frequency analysis was conducted using Microsoft Excel, while citation metrics and further analysis were performed utilizing R package software. The outcomes of this investigation are presented using standard bibliometric metrics, encompassing publication year, authorship, subject area, document type, source title, citation analysis, keyword analysis, active institutional participation, geographic distribution, and language. The analysis revealed a significant increase in publications concerning smart packaging within food distribution since 1990. This upward trend underlines the crucial role of technology in the food industry, potentially impacting the environment, economy, and societal dynamics.

Social media platforms are vital repositories of user-generated content, reflecting a range of emotions, interests, and discussions. Among these interactions, hate speech has emerged as a significant issue, influencing user behavior. While prior studies have attempted to analyze user characteristics to understand hate attitudes, they often rely on simple statistical comparisons and lack robust methods for causal effect estimation. This study investigates the causal effects of hate speech on user behavior on Twitter (now known as X) during the COVID-19 pandemic, characterized by heightened online discourse and harmful rhetoric. We focus on users who broadcast hate speech to determine how such expressions affect emotional responses. Using a Bayesian structural time-series modeling approach, we isolate the effects of hate speech from confounding factors, providing a solid framework for causal inference. Our findings indicate a significant shift in user emotions following instances of hate speech, demonstrating a measurable impact on user dynamics. We also analyze hashtag usage during this period, emphasizing their role in shaping online discourse. This study enhances understanding of the relationship between hate speech and user behavior, offering insights crucial for researchers, policymakers, and social media platforms in developing strategies to mitigate the adverse effects of online hate speech.

Software-Defined Network (SDN) introduces centralized network control via the OpenFlow protocol, enhancing network management, traffic routing, and security policy enforcement. However, SDN's centralized nature also introduces vulnerabilities, particularly to cyberattacks targeting the controller and communication channels. This study presents a resilience assessment methodology for SDN under cyberattack conditions, leveraging Markov process theory to model system states and transitions. Three SDN architectures were evaluated under various attack scenarios, revealing that traditional configurations lack sufficient resilience against synchronous attacks and controller breaches. To address these vulnerabilities, we propose an enhanced SDN protection framework integrating controller redundancy, automatic reconfiguration mechanisms, and anomaly detection using Long Short-Term Memory (LSTM) networks. The methodology was validated through simulations in the EVE-NG environment, demonstrating improved SDN stability under cyber threats. These findings provide a foundation for designing more resilient SDN infrastructures, ensuring network continuity and security against evolving cyber threats.

Background: Throughout history, humans have consistently developed groundbreaking technologies, from fire and the wheel to modern computing, showcasing their ability to innovate and control their creations. The rise of artificial intelligence has sparked renewed concerns about whether machines might eventually surpass human intelligence and autonomy.Aims: This study aims to critically assess AI’s role in human society, particularly addressing concerns that it may surpass human control and agency. It seeks to demonstrate that while AI is a powerful tool, it lacks autonomy, self-augmentation, and intentionality, making it unlikely to replace human decision-making. Additionally, the paper examines historical technological advancements, showing how humans have always adapted and controlled new innovations.Methodology: Employing a historical-comparative methodology, this study traces the evolution of computing technologies from early tally systems to quantum computing. It incorporates philosophical analysis through the works of Hubert Dreyfus, John Searle, and Michael Tomasello, assessing AI’s limitations in replicating human cognition.Findings: The study finds that despite AI’s rapid advancements, it remains fundamentally dependent on human input, lacks true understanding, and is incapable of independent self-enhancement. The historical trajectory of technological progress demonstrates that while new technologies can disrupt societies, humans have consistently adapted and maintained control. Philosophical critiques of AI further reinforce the argument that intelligence is not solely computational but deeply rooted in embodiment, intuition, and shared intentionality—qualities that AI lacks.Conclusions: Concerns about AI overwhelming human agency are largely misplaced. Just as humanity has managed previous technological revolutions—including writing, mechanization, and computing—AI will be integrated and regulated according to human needs and ethical considerations. While vigilance is necessary, the myth of AI autonomy is exaggerated.