Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

A research team has developed a low-cost, high-throughput phenotyping platform that continuously measures plant transpiration ...

In the week ending December 6th, initial jobless claims were at a seasonally adjusted level of 236,000, the highest level in ...

Background One in seven households in England live in accommodation not meeting housing quality standards. Low-quality ...

In the week ending November 29th, initial jobless claims were at a seasonally adjusted level of 191,000, the lowest level in ...

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 ...

Ripples maintain time-locked occurrence across the septo-temporal axis and hemispheres while showing local phase coupling, revealing a dual mode of synchrony in CA1 network dynamics.

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

A change in driving patterns among older adults may signal cognitive decline, offering an opportunity for early intervention ...

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 ...

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 ...

Objective We performed a systematic review, meta-analysis and meta-regression to determine if dietary protein supplementation augments resistance exercise training (RET)-induced gains in muscle mass ...