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Single photovoltaic (PV) and photothermal (PT) technologies in solar energy applications are limited to the conversion of visible light and high-quality infrared spectra, respectively; this limitation results in relatively low energy utilization efficiency. In contrast, liquid spectrum-splitting technology enables the separation and conversion of various spectral bands, with the composition of the medium playing a pivotal role in the efficient utilization of the full spectrum. Compared to previous static spectral-splitting systems, this study introduces a dynamic nanofluid concentration control mechanism, which actively balances PV and PT contributions based on real-time solar conditions, achieving higher adaptability and efficiency. This study proposes a concentrated photovoltaic-thermal (CPVT) system based on the variable concentration of spectrum-splitting media, employing a concave-bottom, hollow pipeline structure. By introducing nanofluids with varying concentrations, we measured and analyzed spot uniformity and transmittance, comparing the system's absorption properties for infrared light to its transmittance properties for visible light. A tunable model for photoelectric and photothermal-electric conversion was constructed, enabling the evaluation of differences in thermal and electrical performance. The results indicate that, within the designed spectrum-splitting pipeline, increases in nanofluid concentration correlate with improvements in both temperature and thermal efficiency. However, the photovoltaic efficiency decreased at higher concentrations. When the concentration reached approximately 280 ppm, the system achieved a peak comprehensive efficiency of 50.63%, demonstrating its superiority in adaptability and full-spectrum utilization compared to previous CPVT systems. As the concentration increased to 420 ppm, light transmittance nearly approached zero, resulting in a peak in thermal efficiency. This variability in concentration endows the system with a flexible capacity to modulate both thermal and electrical outputs, offering significant potential for further development.
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http://dx.doi.org/10.1021/acsomega.4c10744 | DOI Listing |
J Neurol
September 2025
Department of Neurological, Neuropsychological, Morphological and Motor Sciences, University of Verona Medical School, 37134, Verona, Italy.
Despite extensive research, the pathogenesis of Post-Polio Syndrome (PPS) remains unclear. We investigated 251 participants from Northern Italy: long-term polio survivors with PPS, long-term polio survivors with stable polio, family members of both groups, subjects with neurological disorders other than poliomyelitis, and healthy controls. This study investigated whether persistent viral activity or the existence of viral reservoirs contributes to causing PPS.
View Article and Find Full Text PDFJ Epidemiol Glob Health
August 2025
Eye Center, University Medical Center Freiburg, Albert-Ludwigs-University of Freiburg, Killianstrasse 5, 79106, Freiburg, Germany.
Background: Corneal dystrophies are inherited disorders that can lead to significant visual impairment and often require surgical intervention in advanced stages. Fuchs endothelial corneal dystrophy (FECD) is the most frequently diagnosed type in Western countries and remains a leading global indication for corneal transplantation. In contrast, non-Fuchs dystrophies represent a diverse group of less common entities, each with distinct clinical features, surgical considerations, and regional variations in incidence and management.
View Article and Find Full Text PDFSpectrochim Acta A Mol Biomol Spectrosc
January 2026
State Key Laboratory of Submarine Geoscience, School of Automation and Intelligent Sensing, Shanghai Jiao Tong University, Shanghai 200240, China. Electronic address:
Conventional fluorescence spectrometry has a limited linear range and insufficient detection accuracy at high concentrations in wide-range analysis. To address this problem, a novel feature wavelength quantitative analysis method (FWQA) for fluorescent substances is proposed. This method integrates feature wavelength extraction which utilizes inner filter effect (IFE) induced concentration dependent red shift (CDRS) with a full-spectrum analysis.
View Article and Find Full Text PDFPsychiatry Res Neuroimaging
September 2025
Institute of Neuroscience, School of Medicine, University of Texas, Rio Grande Valley, USA.
Background: Emerging evidence suggests that alcohol use disrupts large-scale brain network interactions, particularly within the triple network model-comprising the Salience Network (SN), Default Mode Network (DMN), and Frontoparietal Network (FPN). However, few studies have examined how these connectivity alterations vary across the full spectrum of alcohol consumption, especially using ultra-high-field imaging and data-driven approaches. This study leverages 7 Tesla resting-state fMRI and multivariate pattern analysis (MVPA) to characterize distinct brain connectivity patterns across heavy, moderate, and non-drinking adults, aiming to identify neural signatures that differentiate alcohol use severity levels.
View Article and Find Full Text PDFEur Heart J Case Rep
August 2025
Sydell and Arnold Miller Family Heart and Vascular Institute, Cleveland Clinic, Cleveland, OH 44195, USA.
Background: Modern cardiovascular practice utilizes various devices and procedures to treat functional and structural heart disease.
Case Summary: We report an interesting case of a female patient with heart failure with reduced ejection fraction (HFrEF) and severe mitral regurgitation who received the full spectrum of available device-based therapies including mitral transcatheter edge-to-edge repair, percutaneous mitral annuloplasty with the Carillon device, temporary mechanical circulatory support, durable left ventricular assist device, and eventually cardiac transplantation.
Discussion: Management of HFrEF and functional mitral regurgitation is a common clinical issue for which numerous devices may be utilized to improve patient symptoms and outcomes.