Article
Optics
Jakub Czuchnowski, Robert Prevedel
Summary: This article discusses the critical performance aspects in photonics experiments, including the effects of system parameters on the shape of the transfer function and the importance of real-world applications.
Article
Engineering, Geological
Gabriele Ameri, David Baumont, Hussein Shible, Frederic Ego, Isabelle Contrucci
Summary: This article focuses on the relationship between ground motions and different depths in the underground radioactive waste repository project in the eastern part of the Paris Basin. Through data collection and empirical modeling, it is found that the empirical transfer function is reliable for frequencies in the range of 0.5-10 Hz. Additionally, a range of site-specific parameters is proposed based on earthquake recordings, which can be used to improve the accuracy of seismic hazard assessment models.
BULLETIN OF EARTHQUAKE ENGINEERING
(2023)
Article
Environmental Sciences
Jie Zhou, Li Jia, Massimo Menenti, Mattijn van Hoek, Jing Lu, Chaolei Zheng, Hao Wu, Xiaotian Yuan
Summary: Rainfall is a key driver of terrestrial vegetation, and understanding the response mechanism of vegetation to rainfall is crucial. The Transfer Function Analysis method was used to capture the vegetation response to rainfall at multiple temporal scales, providing valuable insights into the relationship between vegetation growth and fluctuations in rainfall. The results suggest that the TFA method is a powerful tool for quantifying the vegetation-rainfall response regime across different timescales.
REMOTE SENSING OF ENVIRONMENT
(2021)
Article
Engineering, Electrical & Electronic
Sanmitra Banerjee, Mahdi Nikdast, Krishnendu Chakrabarty
Summary: Integrated photonic neural networks (IPNNs) are being considered as promising alternatives to traditional electronic AI accelerators due to their improved computing speed and energy efficiency. However, the accuracy of IPNNs can be negatively affected by imperfections in the underlying MZI devices, including variations in lithography and thermal crosstalk. In this article, we systematically analyze the impact of such imperfections on IPNN accuracy and identify critical components that can lead to significant degradation. Our findings highlight the importance of addressing these imperfections to improve the reliability of IPNNs.
JOURNAL OF LIGHTWAVE TECHNOLOGY
(2023)
Article
Optics
Rafael G. Gonzalez-Acuna, Hector A. Chaparro-Romo, Julio C. Gutierrez-Vega, S. Thibault
Summary: The method introduced in this study allows analytically determining the shape of a lens's refractive surfaces for coupling two arbitrary given wavefronts, without assuming paraxiality or numerical approximations. Applicability restrictions were discussed, and tests showed consistent and expected results for various wavefronts and conditions. The system can be considered bi-directional as the user arbitrarily defines both wavefronts.
OPTICS COMMUNICATIONS
(2021)
Article
Medicine, General & Internal
Grzegorz Labuz, Weijia Yan, Isabella D. D. Baur, Ramin Khoramnia, Gerd U. U. Auffarth
Summary: Presbyopia correction through implantation of a trifocal intraocular lens is effective for both cataract and refractive-lens exchange patients. This study assessed five different trifocal intraocular lenses and identified their distinguishing features. The results showed minimal differences in far-focus visual acuity, but variations in intermediate and near-focus positions. These differences directly impact the ability of trifocal intraocular lenses to deliver optimal vision at different distances.
JOURNAL OF CLINICAL MEDICINE
(2023)
Article
Biology
Timo Dimitriadis, Tobias Fissler, Johanna Ziegel
Summary: We characterize the full classes of M-estimators for semiparametric models by connecting the theory of consistent loss functions from forecast evaluation with the theory of M-estimation. This result allows us to leverage existing results on loss functions known from the literature on forecast evaluation in estimation theory. We demonstrate advantageous implications for robust, efficient, equivariant, and Pareto-optimal M-estimation.
Article
Polymer Science
Aditi Khot, Brett M. Savoie
Summary: This study presents a coarse-grained modeling framework flexible enough to explore the structure-function relationships of organic mixed conductors exhibiting both ionic and electronic conductivity. The model successfully replicates experimental trends and reveals the complex interplay between polymer morphology, ionic-electronic coupling, and electrolyte distribution. This framework provides validation for future applications in establishing structure-function relationships in this important material class and suggests near-term opportunities for tailoring mixed conduction via side-chain design.
Article
Optics
Ju Tang, Kaiqiang Wang, Zhenbo Ren, Wei Zhang, Xiaoyan Wu, Jianglei Di, Guodong Liu, Jianlin Zhao
Summary: In this paper, a U-shaped deep learning framework named RestoreNet is proposed for image restoration of optical synthetic aperture imaging system, showing great restoration ability, stability and generalization.
OPTICS AND LASERS IN ENGINEERING
(2021)
Article
Materials Science, Multidisciplinary
Jinlei Hu, Zhenxing Li, Zheng-Da Hu, Jingjing Wu, Jicheng Wang
Summary: In this paper, the properties of hyperbolic dispersive metamaterial filter-transmitted bulk plasmons (BPs) composed of Al/poly 4-methyl-pentene (TPX) multilayers are studied, and the interference lithography model based on this multilayer structure is analyzed. By optimizing the structural parameters, a high-order passband optical transfer function (OTF) window is obtained for super-resolution interference lithography. The research content contributes to the realization of simple and economical fabrication of nanostructures such as large-area laser interference lithography.
Article
Engineering, Electrical & Electronic
Jiawei Song, Nan Zeng, Hui Ma, Valery V. Tuchin
Summary: This study proposes a non-invasive polarization optical method to evaluate the microstructural changes in tissues during agent diffusion. The method is validated through experiments using skeletal muscle samples and Monte Carlo simulations. It provides a quantitative characterization of tissue changes and offers insights into the optical clearing stages in tissues.
IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICS
(2023)
Article
Optics
Amy McWilliam, Claire M. Cisowski, Zhujun Ye, Fiona C. Speirits, Jorg B. Gotte, Stephen M. Barnett, Sonja Franke-Arnold
Summary: The skyrmion number of paraxial optical skyrmions can be defined through their polarization singularities and associated winding numbers, using Stokes's theorem. This definition provides a robust method to extract the skyrmion number from experimental data, demonstrated for various optical skyrmions and bimerons and multi-skyrmions. This method not only increases accuracy but also offers an intuitive geometrical approach to understanding the topology of these light quasi-particles and their resistance to smooth transformations.
LASER & PHOTONICS REVIEWS
(2023)
Article
Optics
Wenjie Shi, Lin Gao, Long Zhang, Zhiwei Feng, Fan Fang, Guo Xia
Summary: This study proposes a method for evaluating the spectral resolution of crossed-asymmetric Czerny-Turner spectrometers by comparing the impact of different slit functions and widths on the optical transfer function. Through simulation and experiments, it is found that different slit functions are suitable for different slit widths. This method can provide guidance in the preliminary optical design process of spectrometers.
Article
Biochemical Research Methods
Mengting Niu, Ying Ju, Chen Lin, Quan Zou
Summary: Circular RNAs (circRNAs) are special non-coding RNAs with a circular structure, playing important roles in various biological activities. Viral circRNAs, encoded by viruses, have been found in different types of viruses. However, the characteristics and functions of viral circRNAs are still unknown. Comparative analysis reveals that viral circRNAs are less conserved compared to animal circRNAs, suggesting rapid evolution. Furthermore, viral circRNAs show similarities in nucleic acid composition but distinct differences in secondary structure and autocorrelation characteristics compared to animal circRNAs. Based on these characteristics, a machine learning model was developed to predict viral circRNAs. Additionally, analysis indicates potential interactions between viral circRNAs and human miRNAs, as well as their involvement in various KEGG pathways related to the nervous system and cancer.
BRIEFINGS IN BIOINFORMATICS
(2022)
Article
Engineering, Civil
Guan-Zhong Wu, Dan Zhang, Tai-Song Shan, Bin Shi, Yuan-Jiang Fang, Kang Ren
Summary: The study retrofitted a stress-controlled triaxial apparatus with an optical fiber for monitoring strain distribution in soil, using high spatial resolution optical frequency domain reflectometry (OFDR). The results showed that the strain measured by the optical sensing cable had a good linear relationship with the strain calculated by the displacement meter, indicating the feasibility of distributed optical fiber sensing technology for soil deformation monitoring. The performance of deformation coordination between the sensing cable and the soil during unloading was higher than that during loading based on strain transfer coefficients.
SMART STRUCTURES AND SYSTEMS
(2022)
