Dataset of AI adoption usage, expectations, attitudes, perceptions, and motivations for learning in higher education. [PDF]
Luthfi ZF +4 more
europepmc +1 more source
This review highlights the powerful synergy between mechanochemistry and solid reagents to replace hazardous substances traditionally used in organic synthesis. Such an approach offers a safer and more sustainable pathway for conducting organic reactions, with potential benefits in both reactivity and selectivity. The use of solid bases, acids, and gas
Adrien Gallego +4 more
wiley +1 more source
A novel prosthetic foot with a flexible rubber ankle for the Indonesian population: a finite element analysis. [PDF]
Faizin AK +4 more
europepmc +1 more source
Solvent washing of coffee‐ground hydrochars produces activated carbons with tunable pore sizes while maintaining surface area. Removing non‐polar contaminants enhances microporosity, increasing CO2 uptake by 40%. Moderate pore sizes (9–12 Å) yield optimal CO2:N2 selectivity, whereas smaller pores reduce selectivity due to stronger interactions between ...
Muhammad Irfan Maulana Kusdhany +4 more
wiley +1 more source
Graph neural network-based mutation-aware regression test ordering using code dependency graphs and execution traces. [PDF]
Sowmyadevi S, Alphy A.
europepmc +1 more source
ABSTRACT This study presents an analysis of caffeine content in food supplements and evaluates current regulatory frameworks against established safety guidelines. High‐caffeine products, particularly sports, and food supplements, were assessed for compliance with the safety opinion of the European Food Safety Authority (EFSA). The investigation during
Leonie Rinke +3 more
wiley +1 more source
Logistics Management Information System (LMIS) for Health Commodities at Public Health Facilities in Amhara National Regional State of Ethiopia: A Data Quality Evaluation Survey [Letter]. [PDF]
Rashati D, Akbar PS.
europepmc +1 more source
Mid‐Infrared Spectroscopy and Machine Learning for Chlorogenic Acid Quantification in Coffee
Chlorogenic acid (CGA) concentration in coffee was predicted using mid‐infrared (MIR) spectroscopy and a machine learning approach. Forty‐four roasting stages (140–220 °C) plus a green coffee control were analyzed. A multilayer perceptron regressor, trained on preprocessed MIR data, outperformed traditional peak analysis, enabling accurate and ...
Deborah Herdt +6 more
wiley +1 more source
Factors affecting animal welfare on commercial broiler chicken farms in West Java, Indonesia. [PDF]
Wilcox CH +5 more
europepmc +1 more source

