There are three main effects that affect the femtosecond pulse focusing process near the focal plane of a refractive lens: the group velocity dispersion (GVD), the propagation time difference (PTD), and the aberrations of the lens. In this paper we study in detail these effects generated by nonideal achromatic doublets based on a Fourier-optical analysis and Seidel aberration theory considering lens material, wavelength range, lens surface design, and temporally and spatially uniform and Gaussian intensity distributions. We show that the residual chromatic aberration in achromatic lenses, which has been neglected so far, has a considerable effect on the focusing of pulses shorter than 20 fs in the spectral range between the UV and IR, 300 to 1100 nm, and is particularly important in the blue and UV spectral range. We present a general fitted function for an estimation of the pulse stretching parameter, which depends only on the numerical aperture and focal length of the doublet as well as the wavelength of the carrier of the pulse.
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http://dx.doi.org/10.1364/ao.48.004723 | DOI Listing |
PLoS One
January 2025
Nalecz Institute of Biocybernetics and Biomedical Engineering, Polish Academy of Sciences, Warsaw, Poland.
Ion exchange membranes (IEMs) are permselective membranes that, in principle, only allow the flow of ions with a specific charge sign, opposite to that of the fixed membrane ionic groups (counter-ions). This charge-based selectivity, like the size-based selectivity of classic semipermeable membranes, leads to an uneven distribution of permeating ions on the two sides of the membrane, which allows for ion separation or recovery in various processes in industry or environmental protection. Here, we apply the principles of mass balance, charge neutrality, and equality of electrochemical potentials in the state of thermodynamic equilibrium to provide a simple method for estimating the Gibbs-Donnan factors and the equilibrium concentrations of permeating ions in two compartments separated by an ideal IEM, i.
View Article and Find Full Text PDFAnimals (Basel)
December 2024
College of Electronic Information Engineering, Inner Mongolia University, Hohhot 010021, China.
This study proposes an image enhancement detection technique based on Adltformer (Adaptive dynamic learning transformer) team-training with Detr (Detection transformer) to improve model accuracy in suboptimal conditions, addressing the challenge of detecting cattle in real pastures under complex lighting conditions-including backlighting, non-uniform lighting, and low light. This often results in the loss of image details and structural information, color distortion, and noise artifacts, thereby compromising the visual quality of captured images and reducing model accuracy. To train the Adltformer enhancement model, the day-to-night image synthesis (DTN-Synthesis) algorithm generates low-light image pairs that are precisely aligned with normal light images and include controlled noise levels.
View Article and Find Full Text PDFBMC Cardiovasc Disord
December 2024
Department of Cardiology, Fuwai Central China Cardiovascular Hospital, Zhengzhou, Henan, China.
Background: This study aims to evaluate the long-term outcomes of patients with large coronary arteries (LCA, reference vessel diameter more than 3.0 mm) de novo lesions treated by drug-coated balloon (DCB) versus second-generation drug-eluting stent (sDES) in real-world clinical practice.
Methods: Between January 2020 and June 2021, 2857 consecutive patients with equal number of LCA de novo lesions, including 708 lesions treated with paclitaxel DCB-only (DCB-only cohort) and 2149 lesions with sDES-only (sDES-only cohort), were enrolled in this retrospective study.
Neural Netw
February 2025
Hunan Post & Telecommunication Planning and Designing Institute, Changsha, 410126, China. Electronic address:
In Industrial Internet of Things (IIoT) production and operation processes, a substantial amount of video data is generated, often containing sensitive personal and commercial information. This paper proposed three new multiscroll Hopfield neural network (MHNN) systems by utilizing an improved segmented nonlinear non-ideal magnetic-controlled memristor model for electromagnetic radiation. Through dynamical methods, the constructed neural network's multidimensional multiscroll attractors and initial offset boosting behavior are analyzed.
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