This paper presents a system model and inversion for imaging moving targets using phased arrays. The system model provides a mathematical framework to represent the motion of a moving target in the beam-steering domain which is identified as the slow-time domain. The inversion provides a reconstruction of the moving targets in the spatial and velocity domains. It is shown that a randomized beam steering strategy in the slow-time domain can improve the resolution in the velocity domain. The imaging problem is also formulated for a phased array system that spotlights a target area with its transmitted beam to improve the target to clutter power ratio, and obtains beam-steered data in the receive mode for high-resolution imaging. We cite a diagnostic medical ultrasound problem due to the practical difficulties and challenges that are associated with it.
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http://dx.doi.org/10.1109/83.568930 | DOI Listing |
RSC Adv
January 2025
Nano-Science Center & Department of Chemistry, University of Copenhagen Universitetsparken 5 2100 København Ø Denmark
pH remains the most important chemical parameter and must be monitored for positive outcomes in areas as different as cheese making and fertilisation (IVF). Where blood gas analysers enable patient monitoring, starter cultures in cheese manufacturing are still monitored using conventional pH electrodes. Here, we present a homogeneous multiwell plate sensor for monitoring pH, with the same sensitivity as a pH electrode.
View Article and Find Full Text PDFArch Rehabil Res Clin Transl
December 2024
Recovery and Performance Laboratory, Faculty of Medicine, Memorial University of Newfoundland, St. John's, Newfoundland, Canada.
Objective: To determine whether robotic metrics: (1) correlate with the Nine-Hole Peg Test (9HPT; good convergent validity); and (2) differentiate between those self-reporting "some hand problems" versus "no hand problems" (good criterion validity).
Design: Cross-sectional validation analyses.
Setting: Rehabilitation research laboratory located within a hospital.
Open Forum Infect Dis
January 2025
Division of Infectious Diseases, Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Background: Antimicrobial resistance is a global public health emergency. Patients undergoing hematopoietic stem cell transplantation (HCT) are at increased risk for severe infections with multidrug-resistant (MDR) organisms, although more data are needed on the relative burden of MDR Enterobacterales (MDR-E) in immunocompromised populations. In this study, we compare the prevalence of Enterobacterales resistance in cultures from patients undergoing HCT with that of non-HCT patients seeking care at a large healthcare system in North Carolina, USA.
View Article and Find Full Text PDFMicrob Biotechnol
January 2025
Fonterra Microbiome Research Centre, University College Cork, Cork, Ireland.
Advancing microbiome-gut-brain axis science requires systematic, rational and translational approaches to bridge the critical knowledge gaps currently preventing full exploitation of the gut microbiome as a tractable therapeutic target for gastrointestinal, mental and brain health. Current research is still marked by many open questions that undermine widespread application to humans. For example, the lack of mechanistic understanding of probiotic effects means it remains unclear why even apparently closely related strains exhibit different effects in vivo.
View Article and Find Full Text PDFAnn Surg Oncol
January 2025
Division of Surgery, Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Pancreatic cancer has a poor prognosis despite ongoing advances in systemic and multimodal therapies. This review analyzes recent progress and future directions in pancreatic cancer clinical trials, emphasizing the evolution from traditional approaches to a more personalized and biologically-driven treatment paradigm. While improvements in overall survival have been achieved through perioperative therapies, gaps remain in our understanding of optimal treatment strategies.
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