The central nervous system (CNS) relies on precise regulation of potassium ion (K⁺) concentrations to maintain physiology. This regulation involves complex cellular and molecular mechanisms that work in concert to regulate both intracellular and extracellular K⁺ levels. Inflammation, a key physiological response, encompasses a series of cell-specific events leading to inflammasome activation. Perturbations in K⁺-sensitive processes can result in either chronic or uncontrolled inflammation, highlighting the intricate relationship between K⁺ homeostasis and inflammatory signalling. This review explores molecular targets that influence K⁺ homeostasis and have been implicated in inflammatory cascades, offering potential therapeutic avenues for managing inflammation. We examine both cell-specific and common molecular targets across different cell types, providing a comprehensive overview of the interplay between K⁺ regulation and inflammation in the CNS. By elucidating these mechanisms, we identify leads for drug discovery programmes aimed at modulating inflammatory responses. Additionally, we highlight potential consequences of targeting individual molecular entities for therapeutic purposes, emphasizing the need for a nuanced approach in developing anti-inflammatory strategies. This review considers current knowledge on K⁺-sensitive inflammatory processes within the CNS, offering critical insights into the molecular underpinnings of inflammation and potential therapeutic interventions. Our findings underscore the importance of considering K⁺ homeostasis in the development of targeted therapies for inflammatory conditions within the CNS.

The advent of the internet has fundamentally transformed how people access and interact with information. The digital landscape offers easy access to educational materials and healthcare and can support informed decision making. It also presents significant challenges in effectively using this information. This entry discusses the multifaceted barriers that can impede individuals from fully benefiting from the internet’s information resources. Key challenges include discerning between accuracy and misinformation, the uneven distribution of digital literacy, disparities in access to technology, and motivational barriers in seeking reliable information. Additionally, the growing involvement of artificial intelligence (AI) in content curation, regulation, and moderation introduces opportunities and ethical dilemmas. These factors complicate efforts to support the accuracy and trustworthiness of the information shared through digital platforms.

In response to the increasing complexity and sophistication of cyber threats, particularly those enhanced by advancements in artificial intelligence, traditional security methods are proving insufficient. This paper provides an overview of the zero-trust cybersecurity framework, which operates on the principle of “never trust, always verify” to mitigate vulnerabilities within organizations. Specifically, this paper examines the applicability of zero-trust principles in environments where large volumes of information are exchanged, such as schools and libraries, highlighting the importance of continuous authentication (proving who users are within the network), least privilege access (providing only access to what users specifically need), and breach assumption (assuming a breach has or will occur and thus operating to limit the spread through the use of multiple checkpoints throughout the network). The analysis highlights avenues for future research that may help preserve the security of vulnerable organizations.