The evolutionary foundations of brain development represent point of departure. It delves into the depths of evolutionary history, unveiling the intricate journey that has shaped the human brain. Comparative neuroanatomy and phylogeny provide the canvas upon which we paint the portrait of our cognitive evolution. It contemplates the constraints, both genetic and epigenetic, that have sculpted the human brain's architecture. These insights serve as the bedrock upon which Evolutionary Global Neuroscience stands. In the quest to unlock the enigmatic complexities of the human brain, Evolutionary Global Neuroscience emerges as a transformative paradigm that transcends disciplinary boundaries. This expansive field explores the profound interplay between our evolutionary heritage and contemporary challenges in cognition, brain health, and the ever-evolving landscape of neurotechnology. Cognition, that quintessential hallmark of human existence, is next to claim our attention. It interrogate the adaptive value of cognition across epochs, deciphering its role in survival and prosperity. Yet, in this age of rapid societal transformation, the concept of “evolutionary mismatch” comes to the fore. It explore how this mismatch underlies a burgeoning epidemic of brain disorders, underscoring the urgent need for a new paradigm in addressing cognitive health. This paper illuminates the grim landscape of modernity's brain disorders. Alzheimer's disease and autism spectrum disorders serve as poignant exemplars of the evolutionary puzzle that engulfs us. From genetic predispositions to environmental influences, it contemplates the multifaceted origins of these disorders, ever mindful of the shadows cast by evolutionary history. The promise of Evolutionary Global Neuroscience, however, is not confined to diagnosis and treatment. It extends to innovative approaches that safeguard cognitive well-being. Drawing inspiration from our evolutionary past, it uncovers preventive strategies, therapeutic interventions, and personalized medicine approaches. Lifestyle modifications and environmental adaptations emerge as potent tools in preserving cognitive resilience. Amidst this transformative journey, neurotechnology emerges as the catalyst of innovation. Neuroimaging, brain-machine interfaces, neuromodulation, and artificial intelligence converge to redefine the boundaries of human brain exploration. The fusion of biology and technology holds the key to unlocking new frontiers in brain science, offering hope to individuals grappling with brain disorders. Yet, as it propels ourselve toward these novel discoveries, it confront an array of ethical challenges. Questions of cognitive enhancement, informed consent, privacy, and equitable access to neurotechnological advancements loom large. Our abstract engages with these ethical considerations, advocating for responsible innovation that harmonizes with our ethical and societal values. Evolutionary Global Neuroscience is not merely a scientific endeavor; it is a call to action. It beckons us to unite disciplines, fostering interdisciplinary collaboration that transcends borders and cultures. It urges us to invest in longitudinal and cross-cultural research that expands our understanding of the human brain's exquisite diversity. It demands a commitment to brain health literacy and thoughtful policy recommendations to ensure that the fruits of neurotechnological advancement are accessible to all. This paper journeyed through the realm of Evolutionary Global Neuroscience, a journey that begins in our evolutionary past and charts a course toward an enlightened, innovative, and equitable future for brain science, brain health, and the human mind.

The rapid growth of cyberspace has brought about numerous legal and technical challenges, often requiring innovative solutions for effective dispute resolution. The exponential growth of the digital era has ushered in a dynamic landscape known as cyberspace, replete with intricate legal and technical challenges. The online interactions and intellectual property rights become increasingly prevalent, that’s why the disputes and conflicts arise within this virtual realm. Navigating these multifaceted complexities requires innovative approaches to dispute resolution that transcend traditional legal paradigms. Alternative Dispute Resolution (ADR) emerges as a compelling solution offering a versatile toolkit for resolving disputes that meld intricate legal considerations with complex technological dimensions. By probing the depths of its methodologies, exploring its advantages and limitations, and addressing the integration of technical expertise into the dispute resolution process, we pave the way for an in-depth understanding of how ADR not only bridges the gap between law and technology but also propels the evolution of dispute resolution mechanisms in the ever-evolving realm of cyberspace. The paper explores the applicability of ADR methods, such as mediation, arbitration, and negotiation, to navigate complex disputes in online environments, focusing on e-commerce and intellectual property realms. By analyzing legal frameworks and practical implications, this paper highlights the benefits and challenges of employing ADR to resolve intricate disputes arising in the digital landscape.

The rapid integration of generative AI technology across various domains has brought forth a complex interplay between technological advancements, legal frameworks, and ethical considerations. In a world where generative AI has transcended its initial novelty and is now woven into the fabric of everyday life, the boundaries of human creativity and machine-generated output are becoming increasingly blurred. The paper scrutinizes existing privacy laws and regulations through the lens of generative AI, seeking to uncover gaps, challenges, and possible avenues for reform. It explores the evolution of jurisprudence in the face of technological disruption and debates the adequacy of current legal frameworks to address the dynamic complexities of AI-influenced privacy infringements. By scrutinizing cases where personal data has been exploited by nefarious actors employing generative AI for malevolent purposes, a stark reality emerges: the emergence of a new avenue for privacy breaches that tests the limits of existing legal frameworks.

The hospitality industry stands at the forefront of addressing critical challenges in responsible consumption and production of food, and this research endeavors to spearhead transformative solutions by harnessing the power of machine learning (ML) and deep learning (DL) technologies. In the contemporary context, where issues like global hunger, malnutrition, and the intricate dynamics of food adulteration significantly impact the industry's demand-supply mechanism, the integration of advanced technological strategies becomes paramount. This chapter strategically examines the role of ML and DL in achieving zero waste within the hospitality sector, offering a nuanced exploration of challenges and presenting innovative strategies to thwart food loss-waste management.