Summary: Background: Clinical decision-making is increasingly shifting towards data-driven approaches and requires large databases to develop state-of-the-art algorithms for diagnosing, detecting and predicting diseases.The intensive care unit (ICU), a data-rich setting, faces challenges with high-frequency, unstructured monitor data.Here, we showc

Deep core temperature is the most basic and important information about health conditions.Non-contact infrared here thermometers are widely used for human body temperature measurement.However, infrared thermometers are not suitable for deep core temperature measurement.To overcome this limitation, measuring deep core temperature with a microwave ra

Non-technical summary Environmental threats to shelter, livelihoods, and food security are often considered push factors for intra-African human migration.Research in this field is often fragmented into a myriad of case studies on specific subregions or events, thus preventing a more comprehensive understanding of the phenomenon.This paper examines

Feature selection is an effective approach to reduce the number of features of data, which enhances the performance of classification in machine learning.In this paper, we formulate a joint feature selection problem to reduce the number of the selected features while enhancing the accuracy.An improved binary particle swarm optimization (IBPSO) here