Article proposes an aspect-based fashion recommendation model with attention mechanism (AFRAM) to predict customer ratings based on online reviews of fashion products. The experiment results demonstrate that AFRAM is more effective in customer rating predictions, as compared to several state-of-the-art fashion recommenders.

Article presents a new method for extracting 3D point clouds from multi-focus images of a fibrous web acquired on an optical microscope to analyze microscopic structures of a fibrous web.

Article is a study examining the fabrication and characterization of electrospun randomly oriented and aligned grooved polyvinylidene fluoride (PVDF) and poly(vinylidenefluoride-co-trifluoroethylene) (PVDF-TrFE) fiber webs.

Article examining college students’ perceptions of health among foods with no fat relative to foods with different types of fats (unsaturated and saturated). Findings suggest that college students lack knowledge regarding the vital role played by the type and amount of fats within a healthy diet.

This article investigates how the structural mix of USA regional economies affects their volatility of economic growth using four exogenous sectors: Federal Government, construction, manufacturing, and tourism. Results suggest that a larger share of Federal Government employment in an economy reduces the variability of overall employment growth, while a larger share of construction activity elevates it. Results also show that recently manufacturing has not contributed as much to such variability, and that a larger tourism presence increases it. The increasing integration of technology in tourism offers significant opportunities for a network approach and innovation in regional development.

Article examining the degree of macroeconomic recovery of the Nepal tourism industry after a natural disaster using the autoregressive integrated moving average model (ARIMA). The study investigated the case of Nepal’s earthquakes in 2015 and examined the impact of the earthquakes on tourism inflows and GDP using time series data from 1990 to 2018.