Exploring the raison d'etre behind metric selection in network analysis: a systematic review

Using Complex Networks in the Hearing Sciences

In this Point of View, we review a number of recent discoveries from the emerging, interdisciplinary field of Network Science , which uses graph theoretic techniques to understand complex systems. In the network science approach, nodes represent entities in a system, and connections are placed between nodes that are related to each other to form a web-like network . We discuss several studies that demonstrate how the micro-, meso-, and macro-level structure of a network of phonological word-forms influence spoken word recognition in listeners with normal hearing and in listeners with hearing loss. Given the discoveries made possible by this new approach and the influence of several complex network measures on spoken word recognition performance we argue that speech recognition measures-originally developed in the late 1940s and routinely used in clinical audiometry-should be revised to reflect our current understanding of spoken word recognition. We also discuss other ways in which the tools of network science can be used in Speech and Hearing Sciences and Audiology more broadly.

Molecular insights into the anti-inflammatory activity of fermented pineapple juice using multimodal computational studies

Pineapple has been recognized for its potential to enhance health and well-being. This study aimed to gain molecular insights into the anti-inflammatory properties of fermented pineapple juice using multimodal computational studies. In this study, pineapple juice was fermented using Lactobacillus paracasei, and the solution underwent liquid chromatography-mass spectrometry analysis. Network pharmacology was applied to investigate compound interactions and targets. In silico methods assessed compound bioactivities. Protein-protein interactions, network topology, and enrichment analysis identified key compounds. Molecular docking explored compound-receptor interactions in inflammation regulation. Molecular dynamics simulations were conducted to confirm the stability of interactions between the identified crucial compounds and their respective receptors. The study revealed several compounds including short-chain fatty acids, peptides, dihydroxyeicosatrienoic acids, and glycerides that exhibited promising anti-inflammatory properties. Leucyl-leucyl-norleucine and Leu-Leu-Tyr exhibited robust and stable interactions with mitogen-activated protein kinase 14 and IκB kinase β, respectively, indicating their potential as promising therapeutic agents for inflammation modulation. This proposition is grounded in the pivotal involvement of these two proteins in inflammatory signaling pathways. These findings provide valuable insights into the anti-inflammatory potential of these compounds, serving as a foundation for further experimental validation and exploration. Future studies can build upon these results to advance the development of these compounds as effective anti-inflammatory agents.

Advancing the impact identification step of benefit-cost analysis of potable water infrastructure investments: A systems method for identifying important impacts pre-monetisation

Benefit cost analysis (BCA) is frequently used to evaluate potable water infrastructure (PWI) investments. However, a limitation raised by BCA researchers is the narrow view of analysts in identifying investment impacts. In this paper, we propose a systems-thinking framework, supported by data from the literature, interviews, and macroeconomic data, to provide analysts with a more systematic and comprehensive view of investment impacts. The framework, once built, can be applied to any PWI investment question, to identify the prominent impacts that an analyst should consider taking forward through the quantification stages of the BCA process. We validate our method for identifying impacts using data from New Zealand. Our method identifies impacts that are typically not valued in BCA of PWI investments, but that are a common impact of many types of PWI investment decision. Household costs, for example, score in the Top 10 investment outcomes, but are only typically valued in ex post analyses of outbreaks. These impacts warrant attention in future benefit cost analyses. An additional contribution is the development a new betweenness importance rating, which we call flow betweenness, to evaluate each impact's prominence within the PWI socio-economic system.