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Response Process of Coastal Hypoxia to a Passing Typhoon in the East China Sea
2022
Frontiers in Marine Science
Preserved Fulltext
H. et al., 2016; Zhang H. et al., 2019). ...
Remote Sens. 11 (20), 2360. doi: 10.3390/rs11202360 CrossRef Full Text | Google Scholar Zhang Z., Wang Y., Zhang W., Xu J. (2019). ...
doi:10.3389/fmars.2022.892797
doaj:293fcb5bd3cc4faeab7a48796498ad7f
fatcat:j2y6w2hppjg2lkdf4s35zgw5mq
Self-Organization In 1-d Swarm Dynamics
[article]
2013
arXiv
pre-print
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Self-organization of a biologically motivated swarm into smaller subgroups of different velocities is found by solving a 1-dimensional adaptive-velocity swarm, in which the velocity of an agent is averaged over a finite local radius of influence. Using a mean field model in phase space, we find a dependence of this group-division phenomenon on the typical scales of the initial swarm in the position and velocity dimensions. Comparisons are made to previous swarm models in which the speed of an
arXiv:1309.2959v1
fatcat:nh6q3ydocbetrpskdsqjww53wy
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... ent is either fixed or adjusted according to the degree of direction consensus among its local neighbors. Key words: self-organization of swarm, phase space, multi-agent system, dynamical system, group-division.
Association between Myopia, Biometry and Occludable Angle: The Jiangning Eye Study
2016
PLoS ONE
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Jiangning eye study is a randomized, population based study in Shanghai to determine whether myopia has an effect on the prevalence of occludable angles. ...
Results The crude prevalences of iris trabecular meshwork contact in Jiangning Chinese individuals with myopia, emmetropia, and hyperopia are 1.25%, 6.44%, and 7.43%, respectively. ...
Materials and Methods
Study population The Jiangning eye study is a cross-sectional, population-based study of urban Chinese individuals aged 50 years and older in the Jiangning sub-district of Shanghai ...
doi:10.1371/journal.pone.0165281
pmid:27764227
pmcid:PMC5072671
fatcat:v54ii2zxabfldoieix4ubao46u
Hierarchical and Efficient Learning for Person Re-Identification
[article]
2020
arXiv
pre-print
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Since Yi et al. (2014) first apply the deep neural network to solve the ReID task, innumerous methods (Zhang et al., 2017; Sun et al., 2018; Zhu et al., 2017; Fu et al., 2018; Wang et al., 2018) emerge ...
Liu et al. (2017) introduce an attention mechanism to locate the active salient region that contains the person, while Zhang et al. (2017) and Suh et al. (2018) perform an alignment by calculating ...
arXiv:2005.08812v1
fatcat:56vbyo6kvjem3bzzwdwux2ysnm
Region-Aware Face Swapping
[article]
2022
arXiv
pre-print
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This paper presents a novel Region-Aware Face Swapping (RAFSwap) network to achieve identity-consistent harmonious high-resolution face generation in a local-global manner: 1) Local Facial Region-Aware (FRA) branch augments local identity-relevant features by introducing the Transformer to effectively model misaligned cross-scale semantic interaction. 2) Global Source Feature-Adaptive (SFA) branch further complements global identity-relevant cues for generating identity-consistent swapped
arXiv:2203.04564v2
fatcat:kxref5srxzbzrc7gtiqcyzx53m
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... Besides, we propose a Face Mask Predictor (FMP) module incorporated with StyleGAN2 to predict identity-relevant soft facial masks in an unsupervised manner that is more practical for generating harmonious high-resolution faces. Abundant experiments qualitatively and quantitatively demonstrate the superiority of our method for generating more identity-consistent high-resolution swapped faces over SOTA methods, , obtaining 96.70 ID retrieval that outperforms SOTA MegaFS by 5.87↑.
APB2FaceV2: Real-Time Audio-Guided Multi-Face Reenactment
[article]
2020
arXiv
pre-print
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[5] propose the Wav2Pix to generate the face image by an encoded audio vector in an adversarial manner, while Zhang et al. ...
arXiv:2010.13017v1
fatcat:cgglya3urrh7nmbpjqmai37afa
Antiviral Effect of Matrine against Human Enterovirus 71
2012
Molecules
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Human enterovirus 71, a member of the Picornaviridae family, is one of the major causative agent of hand, foot and mouth disease in children less than six years old. This illness has caused mortalities in large-scale outbreaks in the Asia-Pacific region in recent years. No vaccine or antiviral therapy is available. In this study, antiviral effect of matrine against enterovirus 71 were evaluated in vitro and in vivo. Matrine could suppress the viral RNA copy number on rhabdomyosarcoma cells.
doi:10.3390/molecules170910370
pmid:22932217
pmcid:PMC6268984
fatcat:vp6wczghnbcgdpzgf4ln5qpsja
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... over, matrine treatment of mice challenged with a lethal dose of enterovirus 71 reduced the mortality and relieved clinical symptoms. The results showed that matrine may represent a potential therapeutic agent for enterovirus 71 infection.
EATFormer: Improving Vision Transformer Inspired by Evolutionary Algorithm
[article]
2022
arXiv
pre-print
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Motivated by biological evolution, this paper explains the rationality of Vision Transformer by analogy with the proven practical Evolutionary Algorithm (EA) and derives that both have consistent mathematical formulation. Then inspired by effective EA variants, we propose a novel pyramid EATFormer backbone that only contains the proposed EA-based Transformer (EAT) block, which consists of three residual parts, , Multi-Scale Region Aggregation (MSRA), Global and Local Interaction (GLI), and
arXiv:2206.09325v1
fatcat:j4gwktaotrgnte4pgxo3ejhg3e
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... Forward Network (FFN) modules, to model multi-scale, interactive, and individual information separately. Moreover, we design a Task-Related Head (TRH) docked with transformer backbone to complete final information fusion more flexibly and improve a Modulated Deformable MSA (MD-MSA) to dynamically model irregular locations. Massive quantitative and quantitative experiments on image classification, downstream tasks, and explanatory experiments demonstrate the effectiveness and superiority of our approach over State-Of-The-Art (SOTA) methods. , our Mobile (1.8M), Tiny (6.1M), Small (24.3M), and Base (49.0M) models achieve 69.4, 78.4, 83.1, and 83.9 Top-1 only trained on ImageNet-1K with naive training recipe; EATFormer-Tiny/Small/Base armed Mask-R-CNN obtain 45.4/47.4/49.0 box AP and 41.4/42.9/44.2 mask AP on COCO detection, surpassing contemporary MPViT-T, Swin-T, and Swin-S by 0.6/1.4/0.5 box AP and 0.4/1.3/0.9 mask AP separately with less FLOPs; Our EATFormer-Small/Base achieve 47.3/49.3 mIoU on ADE20K by Upernet that exceeds Swin-T/S by 2.8/1.7. Code will be available at .
APB2Face: Audio-guided face reenactment with auxiliary pose and blink signals
[article]
2020
arXiv
pre-print
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Audio-guided face reenactment aims at generating photorealistic faces using audio information while maintaining the same facial movement as when speaking to a real person. However, existing methods can not generate vivid face images or only reenact low-resolution faces, which limits the application value. To solve those problems, we propose a novel deep neural network named APB2Face, which consists of GeometryPredictor and FaceReenactor modules. GeometryPredictor uses extra head pose and blink
arXiv:2004.14569v1
fatcat:uqogtp4f35avpbqpmo3cqgxxgi
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... tate signals as well as audio to predict the latent landmark geometry information, while FaceReenactor inputs the face landmark image to reenact the photorealistic face. A new dataset AnnVI collected from YouTube is presented to support the approach, and experimental results indicate the superiority of our method than state-of-the-arts, whether in authenticity or controllability.
Omni-frequency Channel-selection Representations for Unsupervised Anomaly Detection
[article]
2022
arXiv
pre-print
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Density-based and classification-based methods have ruled unsupervised anomaly detection in recent years, while reconstruction-based methods are rarely mentioned for the poor reconstruction ability and low performance. However, the latter requires no costly extra training samples for the unsupervised training that is more practical, so this paper focuses on improving this kind of method and proposes a novel Omni-frequency Channel-selection Reconstruction (OCR-GAN) network to handle anomaly
arXiv:2203.00259v1
fatcat:pymfzuak5vftbj4sol6is4atsq
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... tion task in a perspective of frequency. Concretely, we propose a Frequency Decoupling (FD) module to decouple the input image into different frequency components and model the reconstruction process as a combination of parallel omni-frequency image restorations, as we observe a significant difference in the frequency distribution of normal and abnormal images. Given the correlation among multiple frequencies, we further propose a Channel Selection (CS) module that performs frequency interaction among different encoders by adaptively selecting different channels. Abundant experiments demonstrate the effectiveness and superiority of our approach over different kinds of methods, e.g., achieving a new state-of-the-art 98.3 detection AUC on the MVTec AD dataset without extra training data that markedly surpasses the reconstruction-based baseline by +38.1 and the current SOTA method by +0.3. Source code will be available at https://github.com/zhangzjn/OCR-GAN.
Realistic Face Reenactment via Self-Supervised Disentangling of Identity and Pose
[article]
2020
arXiv
pre-print
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Selfsupervised learning adopts supervisory signals that are inferred from the structure of the data itself (Zhang, Isola, and Efros 2017; Wiles, Koepke, and Zisserman 2018a) . ...
arXiv:2003.12957v1
fatcat:ztnbksxinvd7nc4lifyhbav7nq
N6-Methyladenosine-Sculpted Regulatory Landscape of Noncoding RNA
2021
Frontiers in Oncology
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The exploration of dynamic N6-methyladenosine (m6A) RNA modification in mammalian cells has attracted great interest in recent years. M6A modification plays pivotal roles in multiple biological and pathological processes, including cellular reprogramming, fertility, senescence, and tumorigenesis. In comparison with growing research unraveling the effects of m6A modifications on eukaryotic messenger RNAs, reports of the association between noncoding RNAs and m6A modification are relatively
doi:10.3389/fonc.2021.743990
pmid:34722298
pmcid:PMC8554331
fatcat:pfvmcovnwzf2jjav7wt3w25ny4
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... d. Noncoding RNAs that undergo m6A modification are capable of regulating gene expression and also play an important role in epigenetic regulation. Moreover, the homeostasis of m6A modification can be affected by noncoding RNAs across a broad spectrum of biological activities. Importantly, fine-tuning and interaction between these processes are responsible for cell development, as well as the initiation and progression of the disease. Hence, in this review, we provide an account of recent developments, revealing biological interactions between noncoding RNAs and m6A modification, and discuss the potential clinical applications of interfering with m6A modification.
Knockdown of N-Acetylglucosaminyl Transferase V Ameliorates Hepatotoxin-Induced Liver Fibrosis in Mice
2013
Toxicological Sciences
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Aberrant N-glycosylation caused by altered N-acetylglucosaminyltransferase V (GnT-V) expression is known to regulate tumor invasion and metastasis by modulating multiple cytokine signaling pathways. However, the exact role of GnT-V in the development of liver fibrosis has not been clearly defined. Here, we induced mouse liver fibrosis by ip injections of carbon tetrachloride (CCl 4 ) or thioacetamide (TAA) and observed significant increase of hepatic GnT-V during the processes of liver
doi:10.1093/toxsci/kft135
pmid:23798564
fatcat:anytl7djazhkxm4gwmq5vd7nom
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... sis. Meanwhile, upregulations of GnT-V were detected in the activated hepatic stellate cells (HSCs) and injured hepatocytes. To knock down hepatic GnT-V expression, adenovirus that expressed the GnT-V siRNA was injected via the tail vein. Adenovirus-mediated delivery of GnT-V siRNA dramatically reduced the GnT-V expression in fibrotic liver and activated HSC in vivo and consequently alleviated CCl 4 -or TAA-induced liver fibrosis as assessed through collagen deposition and profiles of profibrogenic markers. Furthermore, knockdown of GnT-V in HSCs reduced transforming growth factor beta (TGFβ)/Smad signaling and blunted the activated HSC phenotype. The suppression of TGF-β/Smad signaling in HSCs correlated with the decrease of GnT-V-modified β1,6-branched N-glycan on TGF-β receptors. Knockdown of GnT-V also suppressed platelet-derived growth factor (PDGF)-induced HSC proliferation and migration through inhibiting PDGF/Erk signaling. Finally, we demonstrated that knockdown of GnT-V profoundly suppressed TGF-β1-induced epithelial-mesenchymal transition (EMT) in hepatocytes by morphological assessment and reversal of EMT markers. In conclusion, this study demonstrates that GnT-V is implicated in hepatotoxininduced liver fibrosis, and targeting GnT-V may be a feasible and promising approach for treating liver fibrosis.
SFNet: Faster, Accurate, and Domain Agnostic Semantic Segmentation via Semantic Flow
[article]
2022
arXiv
pre-print
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In this paper, we focus on exploring effective methods for faster, accurate, and domain agnostic semantic segmentation. Inspired by the Optical Flow for motion alignment between adjacent video frames, we propose a Flow Alignment Module (FAM) to learn Semantic Flow between feature maps of adjacent levels, and broadcast high-level features to high resolution features effectively and efficiently. Furthermore, integrating our FAM to a common feature pyramid structure exhibits superior performance
arXiv:2207.04415v1
fatcat:uavwelxcivdwrbwawrzr7fn7my
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... er other real-time methods even on light-weight backbone networks, such as ResNet-18 and DFNet. Then to further speed up the inference procedure, we also present a novel Gated Dual Flow Alignment Module to directly align high resolution feature maps and low resolution feature maps where we term improved version network as SFNet-Lite. Extensive experiments are conducted on several challenging datasets, where results show the effectiveness of both SFNet and SFNet-Lite. In particular, the proposed SFNet-Lite series achieve 80.1 mIoU while running at 60 FPS using ResNet-18 backbone and 78.8 mIoU while running at 120 FPS using STDC backbone on RTX-3090. Moreover, we unify four challenging driving datasets (i.e., Cityscapes, Mapillary, IDD and BDD) into one large dataset, which we named Unified Driving Segmentation (UDS) dataset. It contains diverse domain and style information. We benchmark several representative works on UDS. Both SFNet and SFNet-Lite still achieve the best speed and accuracy trade-off on UDS which serves as a strong baseline in such a new challenging setting. All the code and models are publicly available at https://github.com/lxtGH/SFSegNets.
FReeNet: Multi-Identity Face Reenactment
[article]
2020
arXiv
pre-print
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This paper presents a novel multi-identity face reenactment framework, named FReeNet, to transfer facial expressions from an arbitrary source face to a target face with a shared model. The proposed FReeNet consists of two parts: Unified Landmark Converter (ULC) and Geometry-aware Generator (GAG). The ULC adopts an encode-decoder architecture to efficiently convert expression in a latent landmark space, which significantly narrows the gap of the face contour between source and target identities.
arXiv:1905.11805v2
fatcat:lyhgmykiwjhn3pmat77fckgb6q
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... The GAG leverages the converted landmark to reenact the photorealistic image with a reference image of the target person. Moreover, a new triplet perceptual loss is proposed to force the GAG module to learn appearance and geometry information simultaneously, which also enriches facial details of the reenacted images. Further experiments demonstrate the superiority of our approach for generating photorealistic and expression-alike faces, as well as the flexibility for transferring facial expressions between identities.
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