This paper proposes the use of predictive optimal control as a suitable methodology to manage efficiently transport water networks. The predictive optimal controller is implemented using MPC control techniques. The Arrêt-Darré/Arros dam-river system located in the Southwest region of France is proposed as case study. A high-fidelity dynamic simulator based on the full Saint-Venant equations and able to reproduce this system is developed in MATLAB/SIMULINK to validate the performance of the developed predictive optimal control system. The control objective in the Arrêt-Darré/Arros dam-river system is to guarantee an ecological flow rate at a control point downstream of the Arrêt-Darré dam by controlling the outflow of this dam in spite of the unmeasured disturbances introduced by rainfalls incomings and farmer withdrawals.
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http://dx.doi.org/10.2166/wst.2009.525 | DOI Listing |
Int J Bipolar Disord
January 2025
Department of Nephrology, Jeroen Bosch Ziekenhuis, 's-Hertogenbosch, The Netherlands.
Background: A surrogate marker (a substitute indicator of the true outcome) is needed to predict subgroups of long-term lithium users at risk of end-stage kidney disease (ESKD). In this narrative review the aim is to determine the optimal surrogate endpoint for ESKD in long-term lithium users in a scientific context. MAIN: In a literature search in long-term lithium users, no studies on surrogate measurements on ESKD were identified.
View Article and Find Full Text PDFJ Trauma Acute Care Surg
January 2025
From the Division of Trauma, Surgical Critical Care, Burns and Acute Care Surgery, Department of Surgery (L.A.P., Z.M., J.M., B.H., T.W.C., L.N.H., A.B., L.A., J.J.D., J.E.S.), UC San Diego School of Medicine, San Diego, California; and Division of Acute Care Surgery, Department of Surgery (A.E.L.), University of Missouri School of Medicine, Columbia, Missouri.
Background: Given the high mortality and morbidity of emergency general surgery (EGS), designing and implementing effective quality assessment tools is imperative. Currently accepted EGS risk scores are limited by the need for manual extraction, which is time-intensive and costly. We developed an automated institutional electronic health record (EHR)-linked EGS registry that calculates a modified Emergency Surgery Score (mESS) and a modified Predictive OpTimal Trees in Emergency Surgery Risk (POTTER) score and demonstrated their use in benchmarking outcomes.
View Article and Find Full Text PDFJ Trauma Acute Care Surg
January 2025
From the Department of Surgery, University of Minnesota Medical School (M.S., K.S.); Department of Surgery (E.K.J., D.M., J.M.-D.), University of Minnesota; Fairview Health Services, Trauma Services, (M.B., M.D.); and Department of Surgery (G.B.M.-M., C.J.T.), Institute for Health Informatics (G.B.M.-M., C.T.), and Center for Learning Health System Sciences (G.B.M.-M., C.T.), University of Minnesota, Minneapolis, Minnesota.
Background: Rib fractures, constituting 10% to 15% of trauma admissions, contribute significantly to morbidity and mortality. Effective postdischarge patient care remains a challenge. Our system has operationalized patient-reported outcome measures (PROMs) via a mobile platform into routine postdischarge monitoring for rib fracture patients.
View Article and Find Full Text PDFCurr Opin Neurol
February 2025
High Dimensional Neurology Group, UCL Queen Square Institute of Neurology, University College London, Russell Square House, Bloomsbury, London, UK.
Purpose Of Review: Though simple in its fundamental mechanism - a critical disruption of local blood supply - stroke is complicated by the intricate nature of the neural substrate, the neurovascular architecture, and their complex interactions in generating its clinical manifestations. This complexity is adequately described by high-resolution imaging with sensitivity not only to parenchymal macrostructure but also microstructure and functional tissue properties, in conjunction with detailed characterization of vascular topology and dynamics. Such descriptive richness mandates models of commensurate complexity only artificial intelligence could plausibly deliver, if we are to achieve the goal of individually precise, personalized care.
View Article and Find Full Text PDFRev Sci Instrum
January 2025
School of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing 210000, China.
Aiming at the effects caused by stress and deformation on Micro-Electro-Mechanical System (MEMS) sensors, the stress distribution in the radiation area of the MEMS infrared light source is investigated, and by simulating and optimizing the thickness of the composite support film of the chip structure in COMSOL, a film layer thickness matching with lower stress and deformation for the MEMS infrared light source is derived. The utilization of the particle swarm algorithm and backpropagation neural network model allowed for the optimization of simulation data, enabling regression prediction over a broader range of thicknesses and providing a more precise depiction of the stress distribution trend. In addition, the specifications of the MEMS device help us to analyze the design of the support film thickness in the processing of the residual stress within the controllable range.
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