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Ultrasensitive Detection of Circulating Plasma Cells Using Surface-Enhanced Raman Spectroscopy and Machine Learning for Multiple Myeloma Monitoring.
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Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, Fujian 350117, China.
Multiple myeloma is a hematologic malignancy characterized by the proliferation of abnormal plasma cells in the bone marrow. Despite therapeutic advancements, there remains a critical need for reliable, noninvasive methods to monitor multiple myeloma. Circulating plasma cells (CPCs) in peripheral blood are robust and independent prognostic markers, but their detection is challenging due to their low abundance.
View Article and Find Full Text PDFDesmopressin prescription safety in adult inpatients: a real-world tertiary centre experience.
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A Munir, Diabetes and Endocrinology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, United Kingdom of Great Britain and Northern Ireland.
Omissions or delays in desmopressin can result in serious patient harm in patients with Arginine-Vasopressin Deficiency (AVP-D), formally known as Cranial Diabetes Insipidus (CDI). Desmopressin administration practice in hospitals has not been thoroughly investigated previously. This study evaluated desmopressin prescription and administration practice at a large tertiary centre.
View Article and Find Full Text PDFDynamic emotion intensity estimation from physiological signals facilitating interpretation via appraisal theory.
PLoS One
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Faculty of Engineering, Free University of Bozen-Bolzano, Bolzano, South Tyrol, Italy.
Appraisal models, such as the Scherer's Component Process Model (CPM), represent an elegant framework for the interpretation of emotion processes, advocating for computational models that capture emotion dynamics. Today's emotion recognition research, however, typically classifies discrete qualities or categorised dimensions, neglecting the dynamic nature of emotional processes and thus limiting interpretability based on appraisal theory. In our research, we estimate emotion intensity from multiple physiological features associated to the CPM's neurophysiological component using dynamical models with the aim of bringing insights into the relationship between physiological dynamics and perceived emotion intensity.
View Article and Find Full Text PDFBackground: With the increasing availability and use of digital tools such as virtual reality in medical education, there is a need to evaluate their impact on clinical performance and decision-making among healthcare professionals. The Trauma SimVR study is investigating the efficacy of virtual reality training in the context of traumatic in-hospital cardiac arrest.
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Clustering analysis of Yue opera character tone trends based on quantum particle swarm optimization for fuzzy C-means.
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College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, RP China.
This study develops an innovative method for analyzing and clustering tonal trends in Chinese Yue Opera to identify different vocal styles accurately. Linear interpolation is applied to process the time series data of vocal melodies, addressing inconsistent feature dimensions. The second-order difference method extracts tonal trend features.
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