Article
Materials Science, Multidisciplinary
Paul Grandgeorge, Tomohiko G. Sano, Pedro M. Reis
Summary: The study investigated the load transmission along an elastic rod in contact with a rigid cylinder, revealing a transition from localized contact to an extended band with increased loading force in the absence of friction. In the presence of friction, the force ratio during sliding shows non-monotonic behavior with a local minimum, contradicting the constant ideal capstan prediction.
JOURNAL OF THE MECHANICS AND PHYSICS OF SOLIDS
(2022)
Article
Chemistry, Multidisciplinary
Jintao Song, Huizhu Pan, Yuting Zhang, Wenqi Lu, Jieyu Ding, Weibo Wei, Wanquan Liu, Zhenkuan Pan, Jinming Duan
Summary: Euler's elastica energy regularizer has gained attention in image processing and computer vision tasks, but has not been effectively applied in 3D reconstruction due to its non-convexity, non-smoothness, and high order derivative. This paper addresses the problems of missing details and complex computation in 3D reconstruction by efficiently using Euler's elastica term. The main contributions include introducing Euler's elastica as a regularization term in 3D point cloud reconstruction, devising a new dual algorithm for the proposed model, and demonstrating the remarkable performance of Euler's elastica in enhancing features of curved surfaces during point cloud reconstruction.
APPLIED SCIENCES-BASEL
(2023)
Article
Mathematics, Applied
Kensuke Yoshizawa
Summary: In this research, curves minimizing elastic energy under fixed length and pinned ends are identified using the shooting method. The critical points are found to be wavelike elasticae, and the minimizers are shown to have no loops or interior inflection points.
DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS
(2022)
Article
Mathematics, Applied
Yu Zhang, Songsong Li, Zhichang Guo, Boying Wu, Shan Du
Summary: In this paper, a novel multiplicative noise removal model based on adaptive Euler's elastica is proposed for the denoising problem. Two fast numerical algorithms are developed to solve the model, and numerical experiments demonstrate the effectiveness of the algorithms.
JOURNAL OF SCIENTIFIC COMPUTING
(2022)
Article
Mathematics, Applied
Yinghui Zhang, Xiaojuan Deng, Xing Zhao, Hongwei Li
Summary: The introduced cutting-off strategy improves the efficiency of minimizing Euler's elastica energy, resolves internal inconsistencies in the model, and decouples complex dependencies between auxiliary splitting variables more effectively, leading to faster convergence and higher quality image restorations.
EAST ASIAN JOURNAL ON APPLIED MATHEMATICS
(2021)
Article
Computer Science, Artificial Intelligence
Hao Liu, Xue-Cheng Tai, Ron Kimmel, Roland Glowinski
Summary: This paper introduces an extension method for the Polyakov action for color images, which processes color images by minimizing the color manifold curvature. The proposed model decouples nonlinearity, converts the problem into solving for the steady state of the initial-value problem, and uses a time-splitting approach to obtain closed-form solutions, demonstrating the efficiency and robustness of the method through systematic numerical experiments.
SIAM JOURNAL ON IMAGING SCIENCES
(2021)
Article
Computer Science, Artificial Intelligence
Qiaoqiao Li, Weilan Wang
Summary: This paper presents a brand-new technique for Thanka picture inpainting, which is based on Euler's elastica, iterative denoising, and backward projections (EEIDBP). The technique introduces Euler's elastica model to estimate the original observation with lower staircasing effects and better approximation of natural images. Backward projection and iterative denoising are applied to achieve a more accurate estimate of the original signal. Experimental results demonstrate that the proposed technique outperforms state-of-the-art picture inpainting methods in subjective assessment, peak signal-to-noise ratio (PSNR), and structural similarity (SSIM).
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE
(2023)
Article
Computer Science, Artificial Intelligence
Hao Liu, Xue-Cheng Tai, Ron Kimmel, Roland Glowinski
Summary: The choice of a proper regularization measure is crucial in image processing. One classical approach treats color images as two-dimensional surfaces embedded in a five-dimensional spatial-chromatic space, where the image surface area naturally serves as a regularization term. By considering the chromatic coordinates as dominating over the spatial ones, the image spatial coordinates can be regarded as a parameterization of the image surface manifold in a three-dimensional color space. Minimizing the area of the image manifold leads to the Beltrami flow or mean curvature flow of the image surface in the three-dimensional color space, while minimizing the elastica of the image surface provides an interesting regularization.
SIAM JOURNAL ON IMAGING SCIENCES
(2023)
Article
Neurosciences
Saampras Ganesan, Jinglei Lv, Andrew Zalesky
Summary: Behavioral traits were found to be closely related to task performance and the accuracy of classification between tasks and rest, with individual variation in behavior playing a significant role. The study used a novel method called multi-timepoint pattern analysis (MTPA) to capture dynamic adaptations of functional brain networks to changing cognitive demands. The findings suggest that interindividual variation in behavior should be considered when investigating context-dependent dynamic functional connectivity.
HUMAN BRAIN MAPPING
(2022)
Article
Geosciences, Multidisciplinary
Alvaro Egana, Felipe Navarro, Mohammad Maleki, Francisca Grandon, Francisco Carter, Fabian Soto
Summary: This framework introduces a method for building ensemble spatial interpolation functions by combining weak interpolation functions to produce robust ones. Experiments demonstrate its promising ability to handle large datasets and deal with uncertainty quantifications.
NATURAL RESOURCES RESEARCH
(2021)
Article
Automation & Control Systems
Armin W. Thomas, Ulman Lindenberger, Wojciech Samek, Klaus-Robert Mueller
Summary: Research has shown that transfer learning improves the performance of deep learning models in datasets with small sample sizes. In this study, the application of transfer learning to cognitive decoding analysis using functional neuroimaging data is systematically evaluated. Pre-trained deep learning models consistently achieve higher decoding accuracies and require less training time and data compared to models trained from scratch. The benefits of pre-training come from the ability to reuse learned features when training with new data. However, challenges arise when interpreting the decoding decisions of pre-trained models, as they may utilize fMRI data in unforeseen and counterintuitive ways.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2023)
Article
Neurosciences
Tyler J. Adkins, Taraz G. Lee
Summary: The study found that people perform actions more quickly and accurately when offered a large reward, which may enhance performance by improving neural representations of actions used in motor planning.
Article
Mathematics, Applied
Shigeki Matsutani, Emma Previato
Summary: This article proposes a model for closed supercoiled DNA that takes into account thermal effects. Existing models based on the elastic rod theory can only generate simple closed shapes, which do not match the observed shapes obtained through Atomic Force Microscopy (AFM). In this paper, a generalized elastica model using hyperelliptic curve data is introduced to better replicate the shapes and properties of DNA.
PHYSICA D-NONLINEAR PHENOMENA
(2022)
Article
Medicine, General & Internal
Binila Chacko, Lovely Thomas, Roshni Sharma, Bijesh Yadav, Lakshmanan Jeyaseelan, Ashwin O. Arul, Punitha Victor, Vignesh K. Chandiraseharan, Audrin Lenin, Ronald A. B. Carey, Jonathan A. J. Jayakaran, Rajiv K. Krishnaswami, John Victor Peter
Summary: The study investigated the role of noninvasive ventilation in SARS-CoV2 related acute respiratory failure, finding that NIV success rate was 63.6% and factors associated with failure included lower admission PaO2 to FiO2 ratio and higher respiratory rate.
MAYO CLINIC PROCEEDINGS
(2022)
Article
Computer Science, Artificial Intelligence
Fang He, Xiao Wang, Xiaojun Chen
Summary: This study proposed a penalty relaxation algorithm with mathematical guarantee to find a stationary point of Euler's elastica model, dealing with its nonsmoothness. Additionally, theoretical relationships were established and an efficient block coordinate descent algorithm was introduced for solving the problem.
SIAM JOURNAL ON IMAGING SCIENCES
(2021)
Article
Biochemical Research Methods
Chunyu Liu, Sutao Song, Xiaojuan Guo, Zhiyuan Zhu, Jiacai Zhang
JOURNAL OF NEUROSCIENCE METHODS
(2018)
Article
Neurosciences
Chunyu Liu, Yuan Li, Sutao Song, Jiacai Zhang
COGNITIVE NEURODYNAMICS
(2020)
Article
Psychology, Biological
Shuang Cui, Sutao Song, Jiwei Si, Meiyun Wu, Jieyin Feng
Summary: The degree of mouth opening and closing is an important aspect of facial expressions that affects the intensity of expressions. This study focused on the intensity effect of anger, disgust, sad, happy, and neutral expressions within the NimStim set, finding that intensity early affected VPP and mainly affected LPP, with open mouth expressions showing larger activity. There was no intensity effect found in P1, N170 and EPN, and culture and social environment may influence the intensity effect of different emotions.
INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY
(2021)
Article
Psychiatry
Hanxiaoran Li, Sutao Song, Donglin Wang, Zhonglin Tan, Zhenzhen Lian, Yan Wang, Xin Zhou, Chenyuan Pan
Summary: The study found that gray matter density and volume in the thalamus have potential for individualized diagnosis of major depressive disorder (MDD), while functional indicators are not diagnostically valuable. Different subregions of the thalamus show heterogeneity in predicting MDD.
Article
Mathematical & Computational Biology
Xin Chen, Yuanjie Zheng, Changxu Dong, Sutao Song
Summary: In the context of seizure prediction, a multi-dimensional enhanced framework was proposed to fully explore the relational data information among multiple channels of epileptic EEG. Through experiments on the CHB-MIT dataset, the model achieved a sensitivity of 98.61%, demonstrating the effectiveness of the proposed approach.
FRONTIERS IN NEUROINFORMATICS
(2021)
Article
Computer Science, Artificial Intelligence
Xiaowei Che, Yuanjie Zheng, Xin Chen, Sutao Song, Shouxin Li
Summary: Color plays a crucial role in object recognition and visual working memory (VWM). Recent studies have demonstrated the possibility of decoding color information from scalp electroencephalogram (EEG) signals during different stages of VWM, and the decoding accuracy during the maintaining stage can predict participants' memory performance.
INTERNATIONAL JOURNAL OF NEURAL SYSTEMS
(2022)
Article
Psychology, Developmental
Chunyan Liu, Huajie Zhai, Shuhua Su, Sutao Song, Gongxiang Chen, Yi Jiang
Summary: The study found that children with ASD demonstrate a leftward bias in general visual processing, especially for bisecting long lines. Factors such as hand usage, line length, cueing symbol, and symbol location affect performance in line bisection in both ASD and TD groups. ASD individuals show a rightward bias when bisecting short lines with their left hands, slightly different from the TD group.
JOURNAL OF AUTISM AND DEVELOPMENTAL DISORDERS
(2022)
Article
Neurosciences
Sutao Song, Meiyun Wu, Chunliang Feng
Summary: Contextual affective information influences the processing of facial expressions at the early stages of face processing. High-intensity fear expressions and fearful scenes can improve facial expression recognition accuracy. Emotional scenes modulate the amplitudes of EEG waves induced by fear expressions with different intensities.
FRONTIERS IN HUMAN NEUROSCIENCE
(2022)
Article
Mathematical & Computational Biology
Hanxiaoran Li, Sutao Song, Donglin Wang, Danning Zhang, Zhonglin Tan, Zhenzhen Lian, Yan Wang, Xin Zhou, Chenyuan Pan, Yue Wu
Summary: Antidepressant treatment is not suitable for all MDD patients. This study found that gray matter density (GMD) of the thalamus has potential as an aid in predicting individualized treatment responses of MDD patients, while gray matter volume (GMV), amplitude of low-frequency fluctuations (ALFF), and fractional ALFF (fALFF) did not show significant predictive value.
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE
(2022)
Article
Psychology, Biological
Sutao Song, Shimeng Zhao, Zeyuan Gao, Mingli Lu, Mingxian Zhang, Shihao Gao, Yuanjie Zheng
Summary: Individuals with social anxiety perceive emotional facial expressions differently, with higher brain activity amplitudes and potentials in negative contexts, particularly influenced by top-down information in both early and late stages of visual perception.
INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY
(2022)
Article
Psychology, Social
Sutao Song, Shuang Cui, Weitao Zhang, Linting Zhang, Mingxian Zhang, Leyi Zhuang, Yan Gao, Yuanjie Zheng
Summary: Based on physical facial features, mouth features play a vital role in recognizing facial expressions. This study investigated the impact of different mouth states in NimStim on emotion recognition and explored the influence of gender and culture on facial expression perception. The results showed that the relationship between mouth state and recognition rate is not straightforward, and gender and culture also affect emotion recognition.
JOURNAL OF NONVERBAL BEHAVIOR
(2023)
Article
Clinical Neurology
Sutao Song, Shimeng Zhao, Ting Jiang, Shuang Li, Mingxian Zhang, Wangang Ren, Yuanjie Zheng, Ruiyang Ge
Summary: The study investigated the attention bias of high socially anxious individuals towards positive stimuli using ERP. The results showed difficulty in attention disengagement from positive stimuli among high socially anxious individuals, indicating a positive attention bias.
JOURNAL OF AFFECTIVE DISORDERS
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Yanyun Jiang, Yuanjie Zheng, Weikuan Jia, Sutao Song, Yanhui Ding
Summary: CESM is a valuable tool in diagnosing and staging primary breast cancer, but the use of iodinated contrast media may lead to adverse reactions. To address this issue, a cGAN-based Synthesis Network was developed to synthesize CESM images using mammogram images. The introduction of cycle-consistent approach and concatenation layers in cGSNT yielded promising results in image synthesis.
MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2021, PT VII
(2021)
Proceedings Paper
Computer Science, Artificial Intelligence
Sutao Song, Chunyu Liu, Lijie Huang, Zhiyuan Cao, Jiacai Zhang, Shuhua Wei, Jimei Dong
2019 INTERNATIONAL CONFERENCE ON IMAGE AND VIDEO PROCESSING, AND ARTIFICIAL INTELLIGENCE
(2019)
Proceedings Paper
Engineering, Biomedical
Jing Zhang, Chuncheng Zhang, Sutao Song, Li Yao, Xiaojie Zhao, Zhiying Long
MEDICAL IMAGING 2018: BIOMEDICAL APPLICATIONS IN MOLECULAR, STRUCTURAL, AND FUNCTIONAL IMAGING
(2018)
