Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.

Shrinking governing boards, diversifying beyond alumni and business executives, and mandating free speech vetting in leadership hires could reverse the chill on free speech and equip trustees to ...

Understanding how ozone behaves indoors is vital for assessing human health risks, as people spend most of their time inside.

Exogenous attention is a rapid, involuntary mechanism that automatically reallocates processing resources toward salient stimuli. It enhances visual sensitivity in the vicinity of the salient stimulus ...

This potentially valuable cross-sectional longitudinal study leverages high-definition transcranial direct current stimulation to the left dorsolateral prefrontal cortex to examine its effect on ...

Objective: To assess the correlates of changes in emergency department (ED) prices for self-pay patients from 2021 to 2023. Study Design: Retrospective longitudinal analysis of self-pay prices for ED ...

Background Primary healthcare is crucial for universal health coverage in low- and middle-income countries. While research on ...

Traditional financial distress prediction relies heavily on backward-looking financial indicators such as leverage, liquidity ...

Background Many individuals initiating tuberculosis (TB) treatment do not successfully complete the regimen. Understanding variation in treatment outcomes could reveal opportunities to improve the ...

The pervasive issue of unsustainable consumption demands advanced analytical tools to predict and mitigate its environmental ...

Background CFTR modulators have transformed cystic fibrosis (CF) treatment, but individual responses vary even among patients with identical CFTR genotypes. This underscores the need for predictive ...