Article
Optics
Tanbin Shao, Kecheng Yang, Min Xia, Wenping Guo
Summary: In this study, an enhanced dispersion-encoded full-range spectral interferometry technique is proposed and validated for improving measurement accuracy in samples with significant depth, inclination, and roughness. By removing the direct current and preserving data with good phase continuity, the accuracy of phase compensation is improved. The proposed technique extends the depth measurement range and achieves high axial measurement precision.
Article
Optics
Yuye Ling, Zhenxing Dong, Xueshen Li, Yu Gan, Yikai Su
Summary: With the advancement of light source technology, the A-line imaging rate of SS-OCT has significantly increased in the past three decades. However, the bandwidths of data acquisition, transfer, and storage have become major limitations in modern SS-OCT system design. To address this, a novel design paradigm is proposed where the sub-sampling pattern for interferogram acquisition is jointly optimized with the reconstruction algorithm. This method achieves high data compression ratios without impairing image quality, making it a potential solution for the data issue in SS-OCT.
Article
Multidisciplinary Sciences
Aaron J. Weinstein, Matthew D. Reed, Aaron M. Jones, Reed W. Andrews, David Barnes, Jacob Z. Blumoff, Larken E. Euliss, Kevin Eng, Bryan H. Fong, Sieu D. Ha, Daniel R. Hulbert, Clayton A. C. Jackson, Michael Jura, Tyler E. Keating, Joseph Kerckhoff, Andrey A. Kiselev, Justine Matten, Golam Sabbir, Aaron Smith, Jeffrey Wright, Matthew T. Rakher, Thaddeus D. Ladd, Matthew G. Borselli
Summary: This study demonstrates an alternative approach to quantum computation that uses energy-degenerate encoded qubit states controlled by nearest-neighbour contact interactions, bypassing microwave-associated correlated errors. The combination of enriched silicon, all-electrical partial swap operations, and configurable encoding offers a strong pathway towards scalable fault tolerance and computational advantage.
Article
Biology
Xueying Zhou, Sijie Niu, Xiaohui Li, Hui Zhao, Xizhan Gao, Tingting Liu, Jiwen Dong
Summary: Anomaly detection is extensively studied in various fields, referring to the use of normal data to train a model for identifying unseen abnormal cases. However, most methods in the past had limited performance in anomaly detection due to their single constraint on the latent space in constructing the reconstruction model. To address this issue, we propose a Spatial-Contextual Variational Autoencoder with Attention Correction for anomaly detection in retinal OCT images. Our approach effectively eliminates interference from background regions and learns the spatial and contextual manifolds of normal images, leading to improved anomaly detection performance.
COMPUTERS IN BIOLOGY AND MEDICINE
(2023)
Article
Biochemical Research Methods
Le Han, Kostadinka Bizheva
Summary: Digital correction of optical aberrations enables high-resolution imaging in optical coherence tomography (OCT), and a novel approach is proposed to recover spatial resolution in broadband LS-SD-OCT images by suppressing spatial-spectral crosstalk and chromatic aberrations through registration of digitally corrected sub-band tomograms. The method was validated with various imaging targets and has the potential for diverse biomedical and clinical applications.
BIOMEDICAL OPTICS EXPRESS
(2023)
Article
Biochemical Research Methods
Nanshou Wu, Min Yi, Caizhong Guan, Mingyi Wang, Zhang Zhang, Xulun Yang, Hongyi Li, Dingan Han, Yaguang Zeng, Zhilie Tang
Summary: Motion correction is crucial in ophthalmic OCT imaging to improve data quality and aid in easier visualization and analysis. This study introduces a novel method for correcting motion artifacts in retinal OCT volumes, using a combination of normalized cross-correlation and polynomial fitting algorithms. Results from patients with central serous chorioretinopathy show that this method effectively corrects motion artifacts and could have potential applications in assessing ophthalmic diseases.
JOURNAL OF BIOPHOTONICS
(2021)
Article
Optics
Zhenhe Ma, Ning Ding, Zhen Li, Keliang Zhu, Ang Li, Zhanhong Lin, Yi Wang, Yuqian Zhao, Yao Yu, Jingmin Luan, Xin Zhu, Jian Liu
Summary: This article introduces a method to extract the photoacoustic (PA) signal from the contrast reduction in the interference spectrum obtained from spectral domain optical coherence tomography (SDOCT). The method utilizes the specular reflection on the water surface to achieve all-optical detection in a non-contact manner. By analyzing the phase changes in the interference spectrum induced by water surface vibration, the method enables quantification of the interference contrast reduction for PA imaging.
Article
Engineering, Biomedical
Xueshen Li, Shengting Cao, Hongshan Liu, Xinwen Yao, Brigitta C. Brott, Silvio H. Litovsky, Xiaoyu Song, Yuye Ling, Yu Gan
Summary: This study proposes a method of speeding up imaging of coronary artery disease by downsizing the data acquisition process in both the spectral and spatial domains, and improving the quality of image reconstruction through a multiscale reconstruction framework. Experimental results show that data downscaled in both the spectral and spatial domains are easier to reconstruct compared to data downscaled solely in either domain.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Jakob M. Slipsager, Stefan L. Glimberg, Liselotte Hojgaard, Rasmus R. Paulsen, Paul Wighton, M. Dylan Tisdall, Camilo Jaimes, Borjan A. Gagoski, P. Ellen Grant, Andre van Der Kouwe, Oline V. Olesen, Robert Frost
Summary: Comparing prospective motion correction (PMC) and retrospective motion correction (RMC) in Cartesian 3D-encoded MPRAGE scans showed that PMC resulted in superior image quality compared to RMC, with increasing correction frequency reducing motion artifacts in RMC.
MAGNETIC RESONANCE IN MEDICINE
(2022)
Article
Optics
Kye-Sung Lee, Naresh Kumar Ravichandran, Woo-Jong Yeo, Hwan Hur, Sangwon Hyun, Ji Yong Bae, Dong Uk Kim, Jong Kim, Ki-Hwan Nam, Min Gab Bog, Ki Soo Chang, Geon Hee Kim
Summary: We propose a method to integrate optical coherence tomography (OCT) and spectrally encoded confocal microscopy (SECM) for complementary imaging by adding orthogonal scanning to the SECM configuration. The co-registration of SECM and OCT is automatic, and the system is compact and cost-effective. Speckle noise reduction is achieved by averaging the speckles generated by shifting the spectral-encoded field in the direction of dispersion. The interfaced multimodal imaging of SECM and OCT was implemented at a speed of approximately 7 frames/s using fast-switching technology and GPU processing.
Article
Geochemistry & Geophysics
Peng Wang, Liguo Wang, Henry Leung, Gong Zhang
Summary: This study introduces a super-resolution mapping method based on spatial-spectral correlation to overcome the influences of imaging conditions on landcover class mapping. By combining spatial and spectral correlations, more accurate mapping results are obtained.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2021)
Article
Optics
Yue Zhang, Wanrong Gao, Chenxia Xie
Summary: This paper proposes a new method to remove noise in blood flow images using the spatial frequency information of motion noise. The effectiveness of the adaptive denoising algorithm is verified through finger blood flow imaging. It is found that applying the algorithm improves the signal-to-noise ratio and contrast-to-noise ratio of OCTA images.
Article
Optics
Sergey Y. Ksenofontov, Pavel A. Shilyagin, Valentin M. Gelikonov, Grigory V. Gelikonov
Summary: This study describes a compact optical coherence tomography (OCT) device and a method for image reconstruction. The proposed algorithm effectively suppresses motion artifacts and corrects distortions caused by probe displacements relative to the object. The device can be controlled from a consumer-grade laptop or compact PC in real time, making it suitable for use in various clinical settings.
Article
Radiology, Nuclear Medicine & Medical Imaging
Lukas Birklein, Stefan Niebler, Elmar Schoemer, Robert Brylka, Ulrich Schwanecke, Ralf Schulze
Summary: We propose a motion estimation and motion correction approach for oral and maxillofacial cone beam CT scans based solely on 2D projection images. This algorithm improves the visualization quality of motion impaired scans, eliminating the need for re-scans and reducing radiation dosage for patients.
Article
Optics
Ting Luo, Raymond L. Warner, Kaitlyn A. Sapoznik, Brittany R. Walker, Stephen A. Burns
Summary: This letter introduces a dual raster scanning approach to correct image warping caused by target motion in scanning imaging systems, without the need for prior knowledge of the undistorted image. By simultaneously imaging two different regions of the target, accurate spatial information is provided, which accurately measures target motion. The technique is demonstrated using data from adaptive optics scanning laser ophthalmoscope imaging of the human retina.
Article
Plant Sciences
Lan Zhang, Zheng Zhang, Golam Jalal Ahammed, Xiaorong Wang, Huihan Fang, Peng Yan, Li-Ping Zhang, Shibei Ge, Jianyu Fu, Wen-Yan Han, Xin Li
Summary: 24-epibrassinolide (EBR) can improve tea resistance against the fungal pathogen Colletotrichum fructicola by inducing lignin synthesis in tea leaves.
JOURNAL OF PLANT GROWTH REGULATION
(2023)
Article
Green & Sustainable Science & Technology
Lifang Peng, Jiawei Wang, Yinghua Huang, Xiaorong Wang
Summary: Drawing on moral disengagement theory and liquid consumption theory, this study investigated and tested a conceptual model of guests' unethical behavior in peer-to-peer (P2P) accommodation. The study found that self-construal has both positive and negative effects on guests' unethical behavior, and this relationship is mediated by moral disengagement and moderated by perceived consumption liquidity.
JOURNAL OF SUSTAINABLE TOURISM
(2023)
Article
Computer Science, Artificial Intelligence
Kaiwen Dong, Yanjing Sun, Xiaozhou Cheng, Xiaolin Wang, Bin Wang
Summary: In this paper, the authors propose a structure-context complementary network (SCC-Net) for human pose estimation, which consists of an enhanced attention mechanism and an atrous convolution-based module. The proposed modules, namely cross-coordinate attention bottleneck (CCAB) and waterfall residual atrous pooling (WRAP), improve the performance of body joint detection by addressing challenges such as occlusion and background confusion. The experimental results on benchmark datasets demonstrate the effectiveness of the proposed modules and the holistic SCC-Net.
APPLIED INTELLIGENCE
(2023)
Article
Automation & Control Systems
Weijia Zheng, YangQuan Chen, Xiaohong Wang, Meijin Lin, Jing Guo
Summary: Fractional order PID (FOPID) controller offers more flexibility in design options compared to integer order PID (IOPID) controller. However, in practical implementation, it is necessary to select achievable design specifications and controller parameters. This study collects and analyzes the complete achievable regions of design specifications and models the selectable integral and derivative orders of the FOPID controller. A synthesis method is proposed to achieve the desired flat-phase characteristic.
MEASUREMENT & CONTROL
(2023)
Article
Automation & Control Systems
Xiaojing Wang, Guangqiang Shi, Meizhen Liu, Yarning Feng
Summary: A robust control strategy based on Adaboost prediction was proposed to improve the robustness and low-speed performance of an electro-hydraulic servo system. By using RBF neural network and H-infinity control theory, the system's feedback mechanism and robust controller were designed to effectively enhance the system's low-speed performance and anti-interference ability.
MEASUREMENT & CONTROL
(2023)
Article
Biochemistry & Molecular Biology
Xiaoli Wang, Bo Yuan, Ning Zhu, Rongrong Mu, Hongli Zheng, Changsheng Shao, Yanyan Zhao, Jun Mei, Dongliang Yu, Liping Ke, Yuqiang Sun, Cai Fangfang
Summary: This study further investigated the expression pattern and promoter characteristics of GhLAR1, a critical enzyme in the synthesis pathway of proanthocyanidins in cotton fibers. The results showed that GhLAR1 was strongly expressed in fibers and flowers, with significantly higher expression levels in brown cotton compared to white cotton. The GhLAR1 promoter contained light response elements and defense-related transcription factor-binding boxes, which may explain its response to temperature, NaCl, and PEG treatments.
MOLECULAR BIOTECHNOLOGY
(2023)
Article
Clinical Neurology
Jiacheng Liu, Liying Yang, Yue Zheng, Chuanyi Kang, Xiaohong Wang, Jingjing Shi, Siyu Qiu, Ying Zhao, Jiahong Yu, Na Zhao
Summary: This study examined the differences in prevalence and associated factors of suicidal ideation (SI) among adolescents with depression between urban and rural areas. The results showed that urban patients had a higher prevalence of SI compared to rural patients, and there were also differences in parental rearing behavior. The study emphasizes the importance of focusing on parenting styles in adolescent patients for early identification and intervention of SI.
JOURNAL OF AFFECTIVE DISORDERS
(2023)
Article
Thermodynamics
Yuxuan Zhang, Xiaoqiang Zhai, Fengyuan Zhang, Zhongbin Zhang, Kamel Hooman, Hai Zhang, Xiaolin Wang
Summary: This article proposes a novel carbon capture capsule inspired by red blood cells (RBC) to enhance CO2 hydrate formation kinetics. Compared to spherical capsules, the RBC-shaped capsule shows a 143% higher gas uptake efficiency. The study also investigates the effects of initial pressure and capsule size on CO2 hydrate formation kinetics.
Article
Environmental Sciences
Yuqin Wang, Wenfu Zhu, Guangyi Zhao, Guangzheng Ye, Yujun Jiao, Xiaohong Wang, Fan Yao, Weixiao Peng, Haomin Huang, Daiqi Ye
Summary: The influence of lignocellulose contents on the pore structure and distribution characteristics of porous carbon has been investigated. It was found that the microvolumes of ultra-micropores decreased with a decrease in cellulose contents, while mesopores followed the reverse trend. Carbon materials with abundant micropores and narrow mesopores exhibited better adsorption performance, while porous carbon with a hierarchical pore structure showed better regeneration abilities.
ENVIRONMENTAL POLLUTION
(2023)
Article
Instruments & Instrumentation
Hao Chen, Chaoyang Zhao, Zhonghai Wang, Lingli Li, Yanhan Zhou, Jie Zhang, Hongbing Xu, Shikui Cheng, Yuxuan Zhu, Yipo Zhang
Summary: A new hard X-ray (HXR) camera is being designed for the HL-2M tokamak to measure the fast electrons in the energy range of 20-200 keV during RF drive or heating experiments. The camera integrates 63 channels of independent detectors and a composite collimator to reduce background rays. The optimal geometric parameters of the collimator were determined using Geant4 simulation.
JOURNAL OF INSTRUMENTATION
(2023)
Article
Virology
Baiwei Liu, Yu Wang, Xiaoli Wang, Lei Jia, Yi Tian, Hanqiu Yan, Weihong Li, Lingyu Shen, Quanyi Wang, Zhiyong Gao
Summary: Between September 2011 and August 2018, a total of 133,131 acute diarrhoea cases were studied in Beijing. Out of 13,139 specimens collected and tested, 16.84% were positive for NoV. Three different NoV strains, GII.4 Sydney, GII.17, and GII.2, were predominant during different time periods. Excess cases of NoV-associated acute diarrhoea were observed during the predominance periods, ranging from 114.7% to 180.5% increase compared to baseline levels. This study highlights the impact of new NoV variants on gastroenteritis outbreaks.
JOURNAL OF MEDICAL VIROLOGY
(2023)
Article
Environmental Sciences
Yaojun Fan, Quan Su, Xiaohong Wang, Min Fan
Summary: With the acceleration of digital technology construction process, digitization has driven the transformation and upgrading of China's economy and micro businesses. This study aims to investigate whether digitization affects corporate green innovation. The findings reveal that digitization genuinely drives green innovation by easing corporate financing constraints and enhancing corporate awareness of fulfilling social responsibility. The study enriches the related theories of digitization and sustainability and provides empirical evidence for the positive externalities of digitization.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2023)
Article
Environmental Sciences
Sidi Chen, Min Fan, Xiaohong Wang, Yaojun Fan, Sze-Ting Chen, Shichi Ren
Summary: Enterprise managers play a decisive role in management decisions, and the influence of managerial ability on enterprise development has received wide attention. This paper uses Chinese A-share listed companies from 2007 to 2019 as samples to examine the impact of management abilities on corporate performance and studies the moderating effect of compensation incentives on this impact. The findings show a significant positive correlation between managerial ability and listed company performance, which is more pronounced when management has higher compensation incentives.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2023)
Article
Engineering, Environmental
Xiaolei Wang, Dunfeng Si, Yuliang Li, Ning Chen, Guodong Fang, Changyin Zhu, Dongmei Zhou
Summary: This study investigated the effects of alcohols on the degradation of perfluorooctanoic acid (PFOA) using persulfate (PS) based advanced oxidation processes. The results showed that ethanol significantly promoted PFOA degradation in a thermal/PS system. The reaction between ethanol and sulfate radicals (SO4 center dot-) generated from PS activation was found to efficiently degrade PFOA.
Proceedings Paper
Automation & Control Systems
Yan Ming, Wang Jiaxing, Li Heqi, Liu Kai
Summary: This article proposes a neural network based direct lift landing control method for carrier-based aircraft, aiming at optimizing the control parameters in the landing control phase. By introducing neural network into the direct force loop, the controller parameters are optimized online to improve the convergence speed. Simulation experiments with the interference of deck motion, carrier air wake, and Monte Carlo pull deviation condition are performed, and the results show that the trajectory correction speed of the ship-based aircraft direct lift landing control based on neural network is faster, with smaller overshoot and higher accuracy.
PROCEEDINGS OF 2022 INTERNATIONAL CONFERENCE ON AUTONOMOUS UNMANNED SYSTEMS, ICAUS 2022
(2023)
