Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...

Mass spectrometry (MS) is an analytical technique for molecular identification and characterization, with applications spanning various scientific disciplines. Despite its significance, MS faces ...

Explore how "buckets" are used in finance to group investment assets. Learn about cost buckets, portfolio strategies, and ...

Discover how price inelasticity affects demand stability, consumer behavior, and revenue, even with price changes. Learn why businesses and policymakers monitor this key economic factor.

The uncertainties present in hydrological models have made them difficult and often impossible to apply. This work evaluated the sensitivity of input parameters in the SWAT model used for the modeling ...

Jessica Biesiekierski receives funding from NHMRC, Rome Foundation, Yakult and Australian Eggs. She is affiliated with the Nutrition Society of Australia and the Australiasian Neurogastroenterology & ...

Sensitivity analysis helps predict outcomes by varying key variables in financial models. It simplifies complex models, aids in understanding variable effects, and reduces uncertainty. This analysis ...

Source: Pexels In 2021, we published a piece titled ‘No, being autistic is not the same as being highly sensitive’, an article that has now been read over 100,000 times, indicating this is a topic ...

Price sensitivity measures how demand changes with price variations. Highly price-sensitive products often have readily available substitutes. Consumers can save by comparing prices on elastic goods ...

The use of network meta-analysis (NMA) in sport and exercise medicine (SEM) research continues to rise as it enables the comparison of multiple interventions that may not have been assessed in a ...