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A double closed loop digital hydraulic cylinder position system based on switching active disturbance rejection control.
Sci Rep
January 2025
School of Computer, Heze University, No.2269, Daxue Road, Heze, 274015, Shandong, China.
A switching active disturbance rejection control (SADRC) strategy was proposed to solve the composite disturbance challenge arising from gap, LuGre friction, hydraulic spring force, and external load disturbance in the double closed-loop digital hydraulic cylinder position control system. Firstly, leveraging the established mathematical model of the double closed-loop digital hydraulic cylinder, the high-order state equation was derived. Subsequently, the high-order double closed-loop digital hydraulic cylinder control system was transformed into a second-order integral series control system using ADRC strategy.
View Article and Find Full Text PDFBiomarkers.
Alzheimers Dement
December 2024
Department of Clinical Sciences Lund, Lund University, Lund, Lund, Sweden.
Background: The medial temporal lobe (MTL) is the epicenter of both primary and concomitant molecular pathologies in Alzheimer's disease (AD). The intricate anatomy of the MTL has been the subject of extensive study over the past two centuries. However, current PET and MRI AD biomarkers use often crude parcellations of the MTL that have not been sufficiently validated vis-à-vis anatomical ground truth.
View Article and Find Full Text PDFAlzheimer's Imaging Consortium.
Alzheimers Dement
December 2024
Department of Clinical Sciences Lund, Lund University, Lund, Lund, Sweden.
Background: The medial temporal lobe (MTL) is the epicenter of both primary and concomitant molecular pathologies in Alzheimer's disease (AD). The intricate anatomy of the MTL has been the subject of extensive study over the past two centuries. However, current PET and MRI AD biomarkers use often crude parcellations of the MTL that have not been sufficiently validated vis-à-vis anatomical ground truth.
View Article and Find Full Text PDFHybrid natural language processing tool for semantic annotation of medical texts in Spanish.
BMC Bioinformatics
January 2025
Centro de Salud Retiro, Hospital Universitario Gregorio Marañon, C/Lope de Rueda, 43, 28009, Madrid, Spain.
Background: Natural language processing (NLP) enables the extraction of information embedded within unstructured texts, such as clinical case reports and trial eligibility criteria. By identifying relevant medical concepts, NLP facilitates the generation of structured and actionable data, supporting complex tasks like cohort identification and the analysis of clinical records. To accomplish those tasks, we introduce a deep learning-based and lexicon-based named entity recognition (NER) tool for texts in Spanish.
View Article and Find Full Text PDFApplication of targeted high-throughput sequencing as a diagnostic tool for neonatal genetic metabolic diseases following tandem mass spectrometry screening.
Front Public Health
January 2025
Central Laboratory, Ganzhou Maternal and Child Health Hospital, Ganzhou, Jiangxi, China.
Background: Tandem mass spectrometry (MS/MS) is a crucial technique for detecting inborn errors of metabolism (IEM) in newborns. However, the high false positive rate poses challenges in diagnosing specific types of diseases. Therefore, this study aimed to evaluate the role of targeted next-generation sequencing (NGS) in the accurate diagnosis of positive samples identified through MS/MS screening.
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