Fabrication of small nanoantennas with high aspect ratios via electron beam lithography is at the current technical limit of nanofabrication and hence significant deviations from the intended shape of small nanobars occur. Via numerical simulations, we investigate the influence of geometrical variations of gap nanoantennas, having dimensions on the order of only a few tens of nanometers. We show that those deviations have a significant influence on the performance of such nanoantennas. In particular, their resonance wavelength as well as the magnitude of absorption and scattering cross section and the electric field distribution in the near field is strongly altered. Our findings are thus of importance for applications based on near field as well as those based on far field interactions with nanoantennas and have to be carefully and individually considered in both cases.
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http://dx.doi.org/10.1364/OE.21.000594 | DOI Listing |
JMIR Res Protoc
January 2025
Faculty of Health, Nursing, Management, University of Applied Sciences Neubrandenburg, Neubrandenburg, Germany.
Background: In Germany, digital transformation and legal regulations are leading to the need to integrate digital technologies into the nursing profession. In addition, to nursing practice, they are also being incorporated into nursing training. Despite comprehensive regulations regarding the use of digital teaching and learning media in nursing education, their specific applicability and implementation vary.
View Article and Find Full Text PDFJ Neurosurg
January 2025
4Department of Neurosurgery, University of Tennessee Health Science Center, Memphis, Tennessee; and.
Objective: This study aimed to investigate the extent of gender disparities in financial interactions between neurosurgeons and the medical device industry, examining the differences in the number, amount, and types of payments made to male and female neurosurgeons.
Methods: Utilizing data from the Centers for Medicare & Medicaid Services Open Payments database covering 2016-2022, the authors conducted a comprehensive analysis of industry payments to neurosurgeons. This methodology included univariate and multivariate analyses to examine the disparities in payments, with a focus on identifying significant differences in compensation across genders.
Inorg Chem
January 2025
Department of Chemistry, University of Patras, Patras 265 04, Greece.
A new [DyBiOCl(saph)] () Werner-type cluster has been prepared, which is the first Dy/Bi polynuclear compound with no metal-metal bond and one of the very few Ln-Bi (Ln = lanthanide) heterometallic complexes reported to date. The molecular compound has been deliberately transformed to its 1-D analogue [DyBiO(N)(saph)] () via the replacement of the terminal Cl ions by end-to-end bridging N groups. The overall metallic skeleton of (and ) can be described as consisting of a diamagnetic {Bi} unit with an elongated trigonal bipyramidal topology, surrounded by a magnetic {Dy} equilateral triangle, which does not contain μ-oxo/hydroxo/alkoxo groups.
View Article and Find Full Text PDFJ Phys Chem A
January 2025
State Key Joint Laboratory of Environment Simulation and Pollution Control, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
NO is a significant primary atmospheric pollutant that plays a key role in atmospheric chemistry. It serves as a crucial precursor to photochemical smog, acid rain, and secondary particulate matter and is instrumental in determining the atmospheric oxidation capacity. In this review, we focus on the heterogeneous chemistry of NO, which has been demonstrated to significantly influence the sources and sinks of various nitrogen-containing species through field measurements and model simulations.
View Article and Find Full Text PDFPLoS One
January 2025
School of Civil and Architectural Engineering, Harbin University, Harbin, China.
This work explores an intelligent field irrigation warning system based on the Enhanced Genetic Algorithm-Backpropagation Neural Network (EGA-BPNN) model in the context of smart agriculture. To achieve this, irrigation flow prediction in agricultural fields is chosen as the research topic. Firstly, the BPNN principles are studied, revealing issues such as sensitivity to initial values, susceptibility to local optima, and sample dependency.
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