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Article
Simulation of Rock Crack Propagation and Failure Behavior Based on a Mixed Failure Model with SPH
Understanding the mechanisms of crack propagation and failure behavior in rocks is fundamental for geotechnical engineering and mining applications. This study employs a coupled damage model based on the Smoot...
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Article
Viperin immunity evolved across the tree of life through serial innovations on a conserved scaffold
Evolutionary arms races between cells and viruses drive the rapid diversification of antiviral genes in diverse life forms. Recent discoveries have revealed the existence of immune genes that are shared betwee...
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Article
Open AccessRNA-guided RNA silencing by an Asgard archaeal Argonaute
Argonaute proteins are the central effectors of RNA-guided RNA silencing pathways in eukaryotes, playing crucial roles in gene repression and defense against viruses and transposons. Eukaryotic Argonautes are ...
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Article
Open AccessFast and effective molecular property prediction with transferability map
Effective transfer learning for molecular property prediction has shown considerable strength in addressing insufficient labeled molecules. Many existing methods either disregard the quantitative relationship ...
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Article
NRD-Net: a noise-resistant distillation network for accurate diagnosis of prostate cancer with bi-parametric MRI images
In recent years, deep learning-based methods have been extensively developed to diagnose Prostate Cancer (PCa) with bi-parametric Magnetic Resonance Imaging (bpMRI) images. Due to the vague characteristic of P...
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Chapter and Conference Paper
CKR-Calibrator: Convolution Kernel Robustness Evaluation and Calibration
Recently, Convolution Neural Networks (CNN) have achieved excellent performance in some areas of computer vision, including face recognition, character recognition, and autonomous driving. However, there are s...
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Chapter and Conference Paper
Propheter: Prophetic Teacher Guided Long-Tailed Distribution Learning
The problem of deep long-tailed learning, a prevalent challenge in the realm of generic visual recognition, persists in a multitude of real-world applications. To tackle the heavily-skewed dataset issue in lon...
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Chapter and Conference Paper
Contextual Augmentation with Bias Adaptive for Few-Shot Video Object Segmentation
Few-shot video object segmentation (FSVOS) is a challenging task that aims to segment new object classes across query videos with limited annotated support images. Typically, meta learner is the main approach ...
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Chapter and Conference Paper
Dynamic-Static Graph Convolutional Network for Video-Based Facial Expression Recognition
Most of the current methods for video-based facial expression recognition (FER) in the wild are based on deep neural networks with attention mechanism to capture the relationships between frames. However, thes...
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Article
Numerical modeling of hypervelocity impacts on carbon fiber reinforced plastics using a GPU-accelerated SPH model
Hypervelocity impact (HVI) on carbon fiber reinforced plastics (CFRPs) is associated with extreme impulse response of material as well as complex characteristics of the composites. It is a challenging task to ...
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Article
Disassembling Convolutional Segmentation Network
In recent years, the convolutional segmentation network has achieved remarkable performance in the computer vision area. However, training a practicable segmentation network is time- and resource-consuming. In...
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Article
Open AccessAmazon windthrow disturbances are likely to increase with storm frequency under global warming
Forest mortality caused by convective storms (windthrow) is a major disturbance in the Amazon. However, the linkage between windthrows at the surface and convective storms in the atmosphere remains unclear. In...
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Chapter and Conference Paper
Facial Expression Recognition with Mid-level Representation Enhancement and Graph Embedded Uncertainty Suppressing
Facial expression is an essential factor in conveying human emotional states and intentions. Although remarkable advancement has been made in facial expression recognition (FER) tasks, challenges due to large ...
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Chapter
Development and Impacts of the Incentive Policies for Electric Vehicles in China
Electric vehicles (EVs) are one of the key solutions for global energy transition. As the renewable energy’s share in energy consumption continues to grow, replacing traditional fuel vehicles with EVs can effe...
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Article
Open AccessNumerical investigation on the role of check dams with bottom outlets in debris flow mobility by 2D SPH
Check dams with bottom outlets are widely used in debris flow gullies to minimize the damage caused by debris flows. However, the bottom size is often based on empirical criteria due to the lack of knowledge o...
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Article
Open AccessUnprecedented organelle genomic variations in morning glories reveal independent evolutionary scenarios of parasitic plants and the diversification of plant mitochondrial complexes
The morning glories (Convolvulaceae) are distributed worldwide and produce economically important crops, medicinal herbs, and ornamentals. Members of this family are diverse in morphological characteristics an...
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Article
Open AccessDeep learning based diagnosis for cysts and tumors of jaw with massive healthy samples
We aimed to develop an explainable and reliable method to diagnose cysts and tumors of the jaw with massive panoramic radiographs of healthy peoples based on deep learning, since collecting and labeling massiv...
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Chapter and Conference Paper
Review on Enhancing Electrical Conductivity of Seawater
Magnetohydrodynamic (MHD) propulsion is a new type of water jet propulsion that directly uses seawater as the conductive and propelling medium. Most electrical energy converts into joule heat because of the lo...
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Chapter and Conference Paper
Imbalanced Sample Generation and Evaluation for Power System Transient Stability Using CTGAN
Although deep learning has achieved impressive advances in transient stability assessment of power systems, the insufficient and imbalanced samples still trap the training effect of the data-driven methods. Th...
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Article
Open AccessA simple method for the application of exogenous phytohormones to the grass leaf base protodermal zone to improve grass leaf epidermis development research
The leaf epidermis functions to prevent the loss of water and reduce gas exchange. As an interface between the plant and its external environment, it helps prevent damage, making it an attractive system for st...
