The catalytic conversion of oleic acid to aromatics (benzene, toluene, and xylenes, BTX) over a granular H-ZSM-5/Al2O3 catalyst (ϕ 1.2–1.8 mm, 10 g loading) was investigated in a continuous bench-scale fixed-bed reactor (10 g oleic acid h–1). A peak carbon yield of aromatics of 27.4% was obtained at …

This paper investigates the application of neural basis expansion analysis with exogenous variables (NBEATSx) in the prediction of daily stock realized volatility for various time steps. It compares NBEATSx’s forecasting accuracy and robustness with several commonly used models, namely Long-Short Term …

Drought, caused by climate change, poses a significant threat to the production of barley. To ensure high yields, drought adaptation in barley is critical. Roots are primarily responsible for water uptake, and during drought, when water levels are low, deep rooting traits are crucial for developing drought-tolerant …

This paper addresses an approach to teaching embedded systems programming through a challenge-based competition involving robots. This pedagogical project distinguishes itself by incorporating international students from three international institutions through the Blended Intensive Program (BIP). The …

The synthesis of aromatic compounds from biomass-derived furans is a key strategy in the pursuit of a sustainable economy. Within this field, a Diels–Alder/aromatization cascade reaction with chitin-based furans is emerging as a powerful tool for the synthesis of nitrogen-containing aromatics. In this …

The transition to a biobased economy necessitates utilizing renewable resources as a sustainable alternative to traditional fossil fuels. Bioconversion is a way to produce many green chemicals from renewables, e.g., biopolymers like PHAs. However, fermentation and bioconversion processes mostly rely …

This paper introduces and examines a novel realized volatility forecasting model that makes use of Long Short-Term Memory (LSTM) neural networks and the risk metric financial turbulence (FT). The proposed model is compared to five alternative models, of which two incorporate LSTM neural networks and …

Smallholders, who cultivate ±30% of the global palm oil land, are critical to the realization of a sustainable palm oil sector. However, particularly independent smallholders, untied to mills, lag behind in yields and experience challenges to market their produce. Sustainability certification, such as …

The real estate market is a turbulent market where multiple trends and developments continuously affect real estate prices. Developments such as the COVID-19 pandemic and the growing E-Commerce market share caused an uncertainty in the high street real estate market. The average risk premium of Gross …

Pavements are used everywhere, and are of a major importance in the infrastructure. However, conditions for which these pavements are designed for and built in are rapidly changing due to climate change. The trends observed in the Netherlands suggest a maximum temperature increase of 3 degrees Celsius …