Foveal sensitivity to the features of an imminent saccade target increases with the target’s conspicuity, supporting foveal prediction as a viable mechanism for maintaining visual continuity in ...

Incorporating income risk into financial planning leads to more robust strategies that adapt to the complexities of personal financial planning. By aligning asset allocation and saving behavior with ...

Meyer, D. (2025) Connecting the Youth to Business. Open Journal of Business and Management, 13, 2616-2625. doi: 10.4236/ojbm.2025.134138 .

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 ...

Nomura researchers said that under India’s emissions calculation system, the CAFE framework gives heavier vehicles more ...

Since the emergence of the Zika virus epidemic in 2014 and the associated novel sequalae that emerged, much has been learned about the effects of antenatal exposure to Zika virus. Zika virus in ...

Plants produce a wide diversity of compounds. Broadly, these are separated into primary metabolites, which are necessary for ...

Correlation coefficients can mean a positive, negative, or no relationship between two variables. Use correlation coefficients to help pick securities for your portfolio.

We study specific instantiations of the submodular information measures on these, as well as the probabilistic coverage, graph-cut, log-determinants, and saturated coverage functions and see that they ...

How do we take how we feel during a run, and make it something measurable, repeatable and something we can use in training? Check out our deep dive into Rate of Perceived Exertion (RPE).

Be wary of predictions about how the U.S. stock market will respond to oil price fluctuations. A careful review of the historical record shows that the relationship between oil prices (CL00) (BRN00) ...

In unsupervised graph anomaly detection, existing methods usually focus on detecting outliers by learning local context information of nodes, while often ignoring the importance of global context.