Tubittumjournal
Abstract
Neuroscience, or neurosains as it’s called, is a fascinating and interdisciplinary field that focuses on the structure, function, and development of the nervous system, especially the brain. This area combines knowledge from biology, psychology, chemistry, physics, and even engineering to help us better understand cognitive, emotional, and behavioral processes. In addition, it provides tools for dealing with issues like anxiety during times of crisis. Now, when we bring entrepreneurship into the mix, we see how this knowledge can help entrepreneurs make smarter decisions in high-stress business environments, increase their resilience, and improve their performance. Furthermore, by integrating “Attrition Entrepreneurship Theory,” which describes situations where entrepreneurial activities generate personal income but don’t contribute to overall societal wealth and may even hinder it (focusing on redistributing existing resources rather than creating new value), we can explore how neuroscience can help distinguish between real entrepreneurship (which drives economic growth) and attrition-based (often fueled by external factors like government policies or social pressures). Neuroscience, by managing anxiety and stress, can rescue entrepreneurs from falling into the trap of attrition activities and guide them toward true innovation.
Abstract
The construction industry, despite its significant contribution to global economic development, continues to experience persistent productivity stagnation, cost overruns, schedule delays, and elevated operational risks. Traditional construction management approaches largely based on deterministic planning models and experience-driven decision-making have proven insufficient in addressing the increasing complexity and uncertainty of modern project environments. In this context, the integration of Artificial Intelligence (AI) represents a transformative opportunity to enhance strategic performance and risk governance in construction businesses.
This study investigates the strategic impacts of AI adoption on productivity improvement and risk mitigation within construction enterprises. Drawing upon the Resource-Based View, digital transformation theory, and technology adoption frameworks, the research conceptualizes AI as a dynamic organizational capability rather than a standalone technological tool. The paper examines key AI applications, including predictive scheduling, cost forecasting, computer vision-based safety monitoring, supply chain optimization, and intelligent resource allocation.this research contributes to the literature by integrating engineering-focused AI applications with strategic management theory, offering a holistic framework for intelligent construction transformation. The study concludes that AI adoption is not merely a technological upgrade but a structural shift toward predictive, data-driven, and resilient construction business ecosystems.
Abstract
Background and Objective: The human gastrointestinal tract harbors a complex and dynamic community of microorganisms collectively known as the intestinal microbiota, which plays a crucial role in maintaining metabolic, immunological, and physiological homeostasis. These microorganisms regulate essential bodily functions, including digestion, nutrient absorption, immune modulation, and protection against pathogenic organisms. Disruption of the intestinal microbial balance (dysbiosis) has been increasingly associated with a wide range of diseases, such as metabolic disorders, inflammatory conditions, autoimmune diseases, and gastrointestinal dysfunctions. In recent years, growing scientific interest has focused on the potential of medicinal plants and bioactive herbal compounds to modulate gut microbiota composition, enhance beneficial microbial populations, and restore intestinal homeostasis. Understanding the interaction between herbal compounds and gut microbiota may provide novel, safe, and complementary therapeutic strategies for the prevention and management of microbiota-related diseases.