This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...

Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

A biphasic structural plasticity rule interacts with homeostatic synaptic scaling to maintain firing rate homeostasis in neural networks.

Results: A 29-item AAQoL was found to have robust scale structure with four domains: Life Productivity, Psychological Health, Relationships and Life outlook. Internal consistency was adequate (0.93 ...

One such method employs a three-stage procedure that includes automatic detection of PIFs through distance and similarity spectral measures, followed by density scatterplot analysis and robust ...

Goal 2 is about creating a world free of hunger by 2030.The global issue of hunger and food insecurity has shown an alarming increase since 2015, a trend exacerbated by a combination of factors ...

Learn how outliers can skew scatter plot interpretations and affect data analytics, including identification and treatment options.

To enhance the frequency stability and lower the regulation mileage payment of a multiarea integrated energy system (IES) that supports the power Internet of Things (IoT), this paper proposes a ...

Image processing networks are known to be vulnerable to adversarial examples, where adding carefully crafted adversarial perturbations to the inputs can mislead the model. This paper addresses the ...