Universidad Azteca

This quantitative study examines the impact of family dynamics on shaping mental health outcomes and perceptions of gender equality in Pakistan. Using a quantitative design, data were collected from 300 undergraduate students across public and private universities through standardized instruments, including the Family Environment Scale (FES), the General Health Questionnaire (GHQ-28), and a Gender Equality Attitude Scale. Correlation and regression analyses were employed to investigate the predictive relationship between family cohesion, conflict, and communication patterns, and mental health, as well as gender-related attitudes. Findings revealed that higher levels of family cohesion and open communication were positively associated with better mental health (p < 0.02) and more egalitarian views on gender roles (p < 0.05). Conversely, elevated family conflict was linked to poorer psychological well-being and traditional gender role orientations. These results highlight the crucial role of family structures and interactions in fostering both psychological resilience and progressive gender norms in Pakistani society. The study highlights the importance of family-centered interventions and educational initiatives that promote both mental health and gender equality simultaneously.

The rapid integration of Artificial Intelligence (AI) tools, such as ChatGPT, DeepSeek, etc., into academic and professional settings has raised important questions about their influence on human cognition. This study examines the relationship between reliance on AI tools and critical thinking skills, with a particular focus on cognitive load. A quantitative survey design was employed, using structured questionnaires to collect data from 350 university students across diverse disciplines. Measures assessed the extent of AI usage, perceived cognitive load, and levels of critical thinking. AI tool use and critical thinking while controlling for demographic and educational factors. Findings indicate that frequent use of AI tools is associated with significantly lower reported cognitive load during complex tasks (β = –0.37, p < .01) but also with slightly lower self-assessed critical thinking skills (β = –0.21, p < .05). Results suggest that while AI support can reduce mental effort, it may inadvertently discourage deeper engagement with information. Implications for education and workplace training include encouraging deliberate reflection and structured critical analysis when integrating AI tools.

Abstract This study examines the role of artificial intelligence (AI) in enhancing supply chain performance through improved supplier collaboration in West Africa. Grounded in transaction cost economics (TCE), resource-based view (RBV), and cybernetic theory, the research explores how AI-driven technologies reduce transaction costs, optimize strategic resources, and enhance adaptability through real-time data sharing. A quantitative research approach was employed, utilizing structural equation modeling (SEM) to analyze data from 250 suppliers across multiple industries. The findings establish significant relationships between AI-driven communication tools, automation in collaboration processes, real-time data-sharing capabilities, and supplier network integration, all of which positively impact supply chain performance. Among these factors, supplier network integration exhibited the strongest influence on performance outcomes, highlighting the critical role of AI in fostering interconnected supply chains. The study recommends wider adoption of AI tools, automation, and real-time data-sharing mechanisms to enhance supplier interactions and supply chain agility. These insights provide practical implications for supply chain practitioners, policymakers, and industry leaders seeking to leverage AI for greater efficiency and resilience in supply chain operations.

This study investigated the impact of artificial intelligence on English language learning and teaching in Pakistan through a mixed-methods approach. The research involved 150 English teachers and 300 students from public and private schools across Lahore, Karachi, and Islamabad. Data collection utilized structured questionnaires, semi-structured interviews, classroom observations, and pre-post assessments over a 12-week period. Results revealed significant improvements in students' language proficiency, with speaking skills showing the highest enhancement (mean improvement of 2.8 points). Teachers demonstrated positive attitudes toward AI integration, with 78% reporting increased student engagement. However, challenges included limited internet connectivity (65% of schools) and inadequate teacher training (72% of participants). The study found that AI tools like Duolingo and Grammarly enhanced personalized learning experiences and provided immediate feedback. Statistical analysis showed significant correlations between AI tool usage frequency and language skill improvements (p<0.05). The findings suggest that while AI presents substantial opportunities for language education enhancement in Pakistan, successful implementation requires addressing infrastructure limitations and providing comprehensive teacher training programs.

Abstract This study evaluates AI’s effectiveness in boosting real-time decision-making and supply chain agility in West African ports. Utilizing Structural Equation Modeling (SEM), data from 250 supply chain experts across several countries, including Ghana and Nigeria, were analyzed. Results indicate significant enhancements in supply chain agility, particularly through improved data processing speed, system integration, prediction accuracy, and user interface quality, with the latter having the most substantial impact. The study underscores the importance of user-friendly AI systems, supported by Dynamic Capabilities Theory, which facilitates organizational adaptability to market changes. Recommendations focus on developing AI systems with robust user interfaces and ensuring seamless integration with existing IT infrastructures. This research contributes to the literature by empirically demonstrating AI’s role in improving operational adaptability and filling theoretical gaps, with a unique regional focus and methodological approach.

This chapter examines the effect of Artificial Intelligence (AI) on the education sector, focusing on its use and effects in executive structures, educational processes, and outcomes. The methodology involved an assessment of AI applications recognized through elementary examination. AI, along with human-like reasoning abilities, has significantly influenced training approaches in educational institutions. The study also investigates into the intersection of climate resilience and education, emphasizing AI's transformative potential in allowing communities to address rising climate change challenges. By leveraging AI-based educational strategies, communities can enhance their considerate of climate change impacts, adjust to changing conditions, and mitigate associated risks. The chapter aims how AI-enabled education can serve as a catalyst for community empowerment in building climate resilience. Through a detailed inspection of AI applications, the study aims to equip communities with the knowledge, skills, and tools necessary to thrive amidst a changing climate landscape.

Today, we are in a new era of information and data where companies know what we need according to our behavior within the network, where they can understand and predict the products and offers that we want to be shown in the market by using people's information and behavior within the network, especially social networking sites to create marketing campaigns for their products, which will gain, according to their expectations acceptance and a great desire to spark from the followers and reduce the possible loss of products. This information is provided through machine learning techniques and data science. They work to provide information in large and enormous quantities in a sufficient time. All this information collected will certainly establish dramatic behavior and give the patterns a high probability of continuation by generating predictions of the future of this information and how to benefit from it and make decisions. This chapter will review three noteworthy topics: machine learning, deep learning, and data science. Also, the significance of artificial intelligence in the agricultural revolution and how it contributes to the growth of this sector will be remarked. This chapter also adds information about artificial intelligence and its significance now and in the future.

Human-Computer interaction (HCI) is a domain that focuses on growing the interaction between humans and computer systems by designing and developing user interfaces that are efficient and delightful to use. In this chapter, the authors focus on the importance of deep human-computer interaction on new applications with an emphasis on using ChatGPT applications in the health services domain. This chapter provides full details on the importance of executing ChatGPT in various health-related scenarios while highlighting the importance of HCI to enhance user interactions in personalized medical advice in a ChatGPT application. This chapter concludes that the capabilities of ChatGPT and artificial intelligence applications can revolutionize the healthcare industry by enhancing the accessibility and effectiveness of new media communications between the user and applications while creating innovative resolutions to improve healthcare services.

Blockchain represents a new promising technology with a huge economic impact resulting from its uses in various fields such as digital currency and banking; malware represents a serious threat to users, and there are many differences in the effectiveness of antivirus software used to deal with the problem of malware. This chapter has developed a coefficient for measuring the effectiveness of antivirus software. This chapter evaluates the effectiveness of antivirus software by conducting tests on a group of protection programs using a folder containing an amount of data. These programs are applied to combat viruses contained in this folder. The study revealed that the effectiveness of antivirus software is as follows: AVG scored 0%, Advanced System Protector scored 20%, Avast scored 60%, and Malwarebytes scored 80%, respectively.