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We propose a novel trench-assisted circular metal nano-slit (CMNS) structure implementable on a fiber platform for the generation of a low-noise cylindrical surface plasmon (CSP) hotspot. We design trench structures based on a multi-pole cancellation method in order that a converging surface plasmon signal is well separated from co-propagating non-confined diffracted light (NCDL) at the hotspot location. In fact, the secondary radiation by the quasi-pole oscillation at the edge of the trench cancels the primary NCDL, thereby enhancing the signal-to-noise ratio (SNR) of the CSP hotspot. In particular, we investigate two types of trench structures: a rectangular-trench (RT) structure and an asymmetric-parabolic-trench (APT) structure, which are considered for the sake of the simplicity of fabrication and of the maximal enhancement of the SNR, respectively. In comparison with a conventional CMNS having no trenches, we highlight that the mean SNR of the CSP hotspot is enhanced by 6.97 and 11.89 dB in case of the optimized RT and APT CMNSs, respectively. The proposed schemes are expected to be useful for increasing the SNR of plasmonic devices that are interfered by NCDL, such as various types of nano-slits for generating high-resolution plasmonic signals, for example.
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http://dx.doi.org/10.1364/OE.22.026844 | DOI Listing |
Spectrochim Acta A Mol Biomol Spectrosc
December 2024
Department of Chemistry, Institute of Science, Banaras Hindu University, Varanasi 221005, India. Electronic address:
J Neurophysiol
September 2024
Basic Biomedical Sciences & Center for Brain and Behavior Research, University of South Dakota Sanford School of Medicine, Vermillion, South Dakota, United States.
Neurostimulation/neurorecording are tools to study, diagnose, and treat neurological/psychiatric conditions. Both techniques depend on volume conduction between scalp and excitable brain tissue. Here, we examine how neurostimulation with transcranial magnetic stimulation (TMS) is affected by hydration status, a physiological variable that can influence the volume of fluid spaces/cells, excitability, and cellular/global brain functioning.
View Article and Find Full Text PDFFront Hum Neurosci
May 2023
School of Computer Science and Engineering, Guilin University of Aerospace Technology, Guilin, China.
Introduction: Motor imagery electroencephalography (MI-EEG) has significant application value in the field of rehabilitation, and is a research hotspot in the brain-computer interface (BCI) field. Due to the small training sample size of MI-EEG of a single subject and the large individual differences among different subjects, existing classification models have low accuracy and poor generalization ability in MI classification tasks.
Methods: To solve this problem, this paper proposes a electroencephalography (EEG) joint feature classification algorithm based on instance transfer and ensemble learning.
Hum Pathol
October 2022
Department of Pathology and Experimental Cancer Research, Semmelweis University, Budapest, Üllői őt 26, H-1085, Hungary; Interdisciplinary Gastroenterology Working Group, Semmelweis University, Budapest, Üllői út 78, H-1082, Hungary; Saint George Teaching Hospital of Fejér County, Székesfehérvár, Seregélyesi út 3, HU-8000, Hungary.
In patients with colorectal cancer (CRC), a promising marker is tumor-stroma ratio (TSR). Quantification issues highlight the importance of precise assessment that might be solved by artificial intelligence-based digital image analysis systems. Some alternatives have been offered so far, although these platforms are either proprietary developments or require additional programming skills.
View Article and Find Full Text PDFAnn Palliat Med
February 2022
Department of Gynaecology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Background: Due to the significant increase in cesarean section rates worldwide, cesarean scar pregnancy (CSP) has attracted extensive attention. This study aimed to investigate the global research status and developmental directions of CSP to discern promising research hotspots by means of bibliometrics and visualized analyses.
Methods: The English CSP-related literature from 2001 to 2020 was retrieved from The Web of Science Core Collection (WOSCC) database.
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