A matter of complexity? The role of the dorsal posterior parietal cortex in processing changes in spatial information across time.

The posterior parietal cortex (PPC) is an associative neocortical region that integrates multiple streams of information and is implicated in spatial cognition and decision making. In some cases, however, the PPC is not required for these functions. One possibility is that the PPC is recruited when spatial complexity is high.

Developing Topics.

Background: Adults with Down syndrome (DS) are at a high risk of developing Alzheimer's disease (AD) due to the triplication of the amyloid precursor protein on chromosome 21. Despite the high incidence of AD within the DS population, there is less understanding of how AD progresses, although it may be reflected in an accelerated aging phenotype. Compared to typically developing populations, there is less understanding of the decline of cholinergic integrity with aging in adults with DS.

Mortality prediction after major surgery in a mixed population through machine learning: a multi-objective symbolic regression approach.

Introduction: Understanding 1-year mortality following major surgery offers valuable insights into patient outcomes and the quality of peri-operative care. Few models exist that predict 1-year mortality accurately. This study aimed to develop a predictive model for 1-year mortality in patients undergoing complex non-cardiac surgery using a novel machine-learning technique called multi-objective symbolic regression.

CONVENIENCE SAMPLING FOR PANDEMIC SURVEILLANCE OF SEVERE ACUTE RESPIRATORY SYNDROME CORONAVIRUS 2 IN CHILDREN IN JACKSON, MISSISSIPPI.

We assessed severe acute respiratory syndrome coronavirus 2 seroprevalence on residual blood samples for pediatric COVID-19 surveillance: 2263 samples were collected during routine outpatient visits (<18 years, April 2020-August 2021). Seroprevalence increased over time, coinciding with or preceding virus circulation in the community and with or preceding pediatric severe COVID-19 hospitalization peaks. Residual blood sample seroprevalence may be a useful surveillance tool in future outbreaks.

PlomBOX: a low cost bioassay for the sensitive detection of lead in drinking water.

This paper reports the design of a biosensor for sensitive, low-cost measurement of lead in drinking water. The biosensor uses a genetically-modified strain of Escherichia coli, which serves as both signal amplifier and reporter of lead in water, measured via colour change. We developed the PlomBOX measurement platform to image this colour change and we demonstrate its capability to detect concentrations as low as the World Health Organisation upper limit for drinking water of 10 ppb.