Abstract: The integration of Artificial Intelligence (AI) into Human Resource Management (HRM) is fundamentally transforming how organizations approach recruitment, performance management, and employee engagement. This paper explores the multifaceted impact of AI on HR practices, highlighting its role in enhancing efficiency, reducing bias, and driving strategic decision-making. Through an in-depth analysis of AI-driven recruitment tools, performance management systems, and personalized employee engagement strategies, this study examines both the opportunities and challenges associated with AI in HRM. Ethical considerations, including data privacy, (...) algorithmic bias, and the potential displacement of human jobs, are critically discussed to provide a balanced perspective on the adoption of AI technologies in the HR domain. By presenting case studies of organizations successfully leveraging AI, this paper offers insights into the future trajectory of HRM in an increasingly AI-driven world. Ultimately, the findings underscore the need for HR professionals to adapt and innovate in response to the growing influence of AI, ensuring a harmonious balance between technological advancement and the human element in the workplace. (shrink)

There are a number of premises underlying much of the vigorous debate on pharmacological cognitive enhancement. Among these are claims in the enhancement literature that such drugs exist and are effective among the cognitively normal. These drugs are deemed to enhance cognition specifically, as opposed to other non-cognitive facets of our psychology, such as mood and motivation. The focus on these drugs as cognitive enhancers also suggests that they raise particular ethical questions, or perhaps more pressing ones, compared to those (...) raised by other kinds of neuroenhancement. Finally, the use of these drugs is often claimed to be significant and increasing. Taken together, these premises are at the heart of the flurry of debate on pharmacological cognitive enhancement. In this article, it is argued that these are presumptions for which the evidence does not hold up. Respectively, the evidence for the efficacy of these drugs is inconsistent; neurologically it makes little sense to distinguish the cognitive from non-cognitive as separate targets of pharmacological intervention; ethically, the questions raised by cognitive enhancement are in fact no different from those raised by other kinds of neuroenhancement; and finally the prevalence rates of these drugs are far from clear, with the bulk of the claims resting on poor or misrepresented data. Greater conceptual clarity along with a more tempered appreciation of the evidence can serve to deflate some of the hype in the associated literature, leading to a more realistic and sober assessment of these prospective technologies. (shrink)

Abstract: Artificial Intelligence (AI) has rapidly evolved, offering transformative capabilities for business decision-making. This paper explores how AI can be leveraged to enhance strategic decision-making in business contexts. It examines the integration of AI-driven analytics, predictive modeling, and automation to improve decision accuracy and operational efficiency. By analyzing current applications and case studies, the paper highlights the opportunities AI presents, including enhanced data insights, risk management, and personalized customer experiences. Additionally, it addresses the challenges businesses face in adopting AI, such (...) as data privacy concerns, integration issues, and the need for skilled personnel. The paper concludes with recommendations for effectively implementing AI solutions to maximize their benefits while navigating potential pitfalls. (shrink)

Birks and Buyx (2018) claim that, at least in the foreseeable future, nonconsensual neurointerventions will almost certainly suppress some valuable mental states and will thereby impose an objectionable harm to mental integrity—a harm that it is pro tanto wrong to impose. Of course, incarceration also interferes with valuable mental states, so might seem to be objectionable in the same way. However, Birks and Buyx block this result by maintaining that the negative mental effects of incarceration are merely foreseen, whereas those (...) of neurointerventions are intended. We dispute Birks and Buyx’s characterization of the descriptive difference between these effects. In both cases, the negative effects are caused, not constituted, by the act in question. (shrink)

Abstract: Climate change presents a critical challenge that demands advanced analytical tools to predict and mitigate its impacts. This paper explores the role of artificial intelligence (AI) in enhancing climate modeling, emphasizing how AI-driven methods are revolutionizing our understanding and response to climate change. By integrating machine learning algorithms with diverse data sources such as satellite imagery, historical climate records, and real-time sensor data, AI improves the accuracy, efficiency, and granularity of climate predictions. The paper reviews key AI techniques, including (...) neural networks and ensemble models, and their applications in simulating extreme weather events and forecasting long-term climate trends. Additionally, it examines the impact of AI-enhanced climate models on policy-making and strategic planning. Despite significant advancements, challenges such as data quality, computational demands, and model interpretability remain. This study underscores the potential of AI to transform climate modeling and highlights areas for future research and development to harness these technologies for a sustainable future. (shrink)

Abstract: Background: Hair loss is often a concern for women, men and children. It is normal to lose between 50 and 100 hairs a day, without us noticing it. Usually hair loss is a sign of a medical condition, some of them are hereditary, and some of them are temporary due to disease, stress, cancer treatment, weight loss, and iron deficiency. Objectives: The main goal of this expert system is to obtain an appropriate diagnosis of the cause of hair loss. (...) Methods: In this paper, the proposed expert system that was produced is designed to assist the physician in diagnosing hair loss disease such as seborrhea, lichen planus, ringworm, alopecia areata, thyroid disease and male-pattern baldness. The proposed expert system presents an overview about hair loss diseases are given, the cause of diseases are outlined and the treatment of disease whenever possible is given out. Clips Expert System language was used for designing and implementing the proposed expert system. Results: The proposed hair loss diseases diagnosis expert system was evaluated by Medical students and they were satisfied with its performance. Conclusions: The Proposed expert system is very useful for hair loss treatment physician, patients with hair loss problems and newly graduated physician. (shrink)

Abstract: The convergence of nanotechnology and artificial intelligence (AI) represents a transformative frontier in modern science, with the potential to revolutionize multiple industries, particularly healthcare. Nanotechnology enables the manipulation of matter at the atomic and molecular scale, while AI offers sophisticated data analysis, pattern recognition, and decision-making capabilities. This paper explores the synergies between these two fields, focusing on their impact on medical diagnostics, targeted drug delivery, and personalized treatments. By leveraging AI's predictive power and nanotechnology's precision, healthcare can achieve (...) unprecedented levels of accuracy in disease detection and treatment, leading to improved patient outcomes. Beyond healthcare, this convergence extends to environmental monitoring, smart materials, and manufacturing, offering solutions to some of the world’s most pressing challenges. The paper also discusses the ethical considerations and potential risks of integrating AI with nanotechnology, emphasizing the need for responsible innovation. Together, AI and nanotechnology hold the promise of reshaping industries and improving quality of life on a global . (shrink)

The entity of man and efficiency of mind are controversial issues in Arabic culture. There is no agreement among Muslim philosophers and theologians in defining man and the mind. In their analysis, they relied on translated Greek philosophical works and Arab cultural heritage and then added their thoughts. As a result, some scholars accused Asrab culture of sinking into dualism. To clarify the entity of man and mind, we should answer the following questions: Who is man? Is the function of (...) the mind just to achieve knowledge? What is the theory of equilibrium in Arab culture? In this paper, I will examine these questions and then investigate the rational trend from Mu'tazili to Ibn Rushd and compare it with another trend (Ibn Hazem and Al Ghazali), adherence to the text. Researchers have interpreted the existence of such trends together as a reflection of the theory of equilibrium in Arab culture. (shrink)