Publications by authors named "M L Forrester"
Diabetes mellitus (DM) is a major global health issue, with type 2 diabetes (T2D) accounting for over 90% of cases. Community pharmacies, given their accessibility, are well positioned to assist in early detection and management of T2D. This study evaluated post-pandemic T2D risk in a Portuguese population using the Finnish Diabetes Risk Score (FINDRISC) across five community pharmacies.
View Article and Find Full Text PDFLevulinic acid (LA) is a key platform molecule with current applications in the synthesis of several commodity chemicals, including amino-levulinic acid, succinic acid, and valerolactone. In contrast to existing petroleum-based synthesis pathway, biomass-derived --muconic acid (MA) offers a sustainable route to synthesize LA. Here, we show the complete decarboxylation of neat MA to LA without solvent at atmospheric pressure and mild temperature.
View Article and Find Full Text PDFIn Bangladesh, Midwife Led Birthing Centres (MLBCs) have been established to provide midwifery care and sexual and reproductive health services for the displaced Rohingya population in Cox's Bazar. The aim of this study was to explore MLBCs in this humanitarian context from the perspectives of women, midwives, and other key stakeholders. A mixed-method case study was conducted at one of the MLBCs within the Rohingya refugee camps in Cox's Bazar.
View Article and Find Full Text PDFArticle Synopsis
- The proliferation of brain connectome data has allowed researchers to develop neural mass models that simulate whole brain activity, integrating interaction strength and tract lengths between regions.
- A new neural mass model derived from spiking cortical cell networks can account for both chemical and electrical synapses, demonstrating its capability to replicate functional connectivity patterns observed in neuroimaging studies.
- This study underlines the necessity of aligning theoretical models with biological principles and provides C++ code for efficient simulation of these neural mass networks, allowing for the exploration of delayed interactions within brain dynamics.