Published in Talanta
The identification of new biomarkers (e.g., metabolic biomarkers) will facilitate not only the diagnosis of stroke but also the differentiation of stroke subtypes, especially the discrimination of ischaemic stroke from intracerebral hemorrhage. Herein, we develop for the first time an ultra-high-pressure liquid chromatography tandem mass spectromet...
Published in Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al]
In radical radiochemotherapy (RCT) of inoperable non-small-cell lung cancer (NSCLC) typical prognostic factors include T- and N-stage, while there are still conflicting data on the prognostic relevance of gross tumor volume (GTV) and particularly its changes during RCT. The NCT03055715 study of the Young DEGRO working group of the German Society of...
Published in Progress in Earth and Planetary Science
The application of soft computing (SC) models for predicting environmental variables is widely gaining popularity, because of their capability to describe complex non-linear processes. The sea surface temperature (SST) is a key quantity in the analysis of sea and ocean systems, due to its relation with water quality, organisms, and hydrological eve...
Published in Astrophysics and Space Science
In this paper, the prediction model for ionospheric total electron content (TEC) based on Long Short-Term Memory (LSTM) deep learning network and its performance are discussed. The input parameters of the model are previous values of daily TEC, solar radio flux at 10.7 cm parameter of 81 day moving average (F107_81‾\documentclass[12pt]{minimal} \us...
Published in Methods in molecular biology (Clifton, N.J.)
Neurodegenerative diseases, mainly amyotrophic lateral sclerosis, Parkinson, Alzheimer, and rarer diseases, have gained the attention of healthcare service providers due to their impact on the economy of countries where healthcare is a public service. These diseases increase with aging and affect the neuromotor cells and cognitive areas in the brai...
Published in Biological psychiatry. Cognitive neuroscience and neuroimaging
Functional brain connectivity is altered in children and adults with autism spectrum disorder (ASD). Functional disruption during infancy could provide earlier markers of ASD, thus providing a crucial opportunity to improve developmental outcomes. Using a whole-brain multivariate approach, we asked whether electroencephalography measures of neural ...
In the perspective of Industry 4.0, the contemporary presence of workers and robots in the same workspace requires the development of human motion prediction algorithms for a safe and efficient interaction. In this context, the purpose of the present study was to perform an operation of sensor fusion, by creating a collection of spatial and inertia...
Published in BMC Medical Informatics and Decision Making
Applying machine learning to healthcare sheds light on evidence-based decision making and has shown promises to improve healthcare by combining clinical knowledge and biomedical data. However, medicine and data science are not synchronized. Oftentimes, researchers with a strong data science background do not understand the clinical challenges, whil...
Published in Waste management (New York, N.Y.)
The use of zero-valent iron (ZVI) to enhance anaerobic digestion (AD) systems is widely advocated as it improves methane production and system stability. Accurate modeling of ZVI-based AD reactor is conducive to predicting methane production potential, optimizing operational strategy, and gathering reference information for industrial design in pla...
Published in Diagnostic and Prognostic Research
BackgroundDespite advances in the care of women and their babies in the past century, an estimated 1.7 million babies are born still each year throughout the world. A robust method to estimate a pregnant woman’s individualized risk of late-pregnancy stillbirth is needed to inform decision-making around the timing of birth to reduce the risk of stil...
