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Article
Open AccessNeuroimmune modulating and energy supporting nanozyme-mimic scaffold synergistically promotes axon regeneration after spinal cord injury
Spinal cord injury (SCI) represents a profound central nervous system affliction, resulting in irreversibly compromised daily activities and disabilities. SCI involves excessive inflammatory responses, which a...
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Article
Hierarchical Bi/S-modified Cu/brass mesh used as structured highly performance catalyst for CO2 electroreduction to formate
Electrocatalytic CO2 reduction reaction (ECO2RR) converts CO2 to high-value chemical products and promotes the carbon cycle. Sulfur (S)-modified copper (Cu) and bismuth (Bi)-based catalysts have been recognized a...
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Article
MEAN: An attention-based approach for 3D mesh shape classification
3D shape processing is a fundamental computer application. Specifically, 3D mesh could provide a natural and detailed way for object representation. However, due to its non-uniform and irregular data structure...
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Article
A decomposition-based many-objective evolutionary algorithm with weight grou** and adaptive adjustment
Multiobjective evolutionary algorithms based on decomposition (MOEA/D) have attracted tremendous interest and have been thoroughly developed because of their excellent performance in multi/many-objective optim...
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Article
WalkFormer: 3D mesh analysis via transformer on random walk
A 3D mesh is a popular representation of 3D shapes. For mesh analysis tasks, one typical method is to map 3D mesh data into 1D sequence data with random walk sampling. However, existing random walk-based appro...
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Article
Research on Quantitative Characterization of 3D Fractures Induced by Hydraulic Fracturing: Insights from Experimental Analysis and Mathematical Models
Hydraulic fracturing (HF) is a widely used reservoir reconstruction technology in unconventional oil and gas development. Quantitative characterization of hydraulic fracturing fracture (HFF) is an important wa...
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Article
UnifiedSC: a unified framework via collaborative optimization for multi-task person re-identification
Person re-identification (ReID) encompasses two independent study branches, i.e., single-modality and cross-modality identifications. Since single-modality and cross-modality pedestrian data have completely di...
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Article
Open AccessClinical prognostic impact of C-NLR in heart failure patients with different ejection fractions: a retrospective study
Inflammatory conditions and immune disorders may worsen the prognosis of chronic heart failure (CHF) patients. The aim of this study was to evaluate the prognostic value of a new indicator, C-NLR, composed of ...
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Chapter and Conference Paper
An Intelligent Image Segmentation Annotation Method Based on Segment Anything Model
Training of supervised neural network models requires a large amount of high-quality datasets with true values. In computer vision tasks such as object detection and image segmentation, the process of annotati...
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Chapter
Information System of China Spallation Neutron Source and High Energy Photon Source and Its Applications
The China Spallation Neutron Source (CSNS), the fourth pulse spallation neutron source in the world built during China’s 11th Five-Year Plan (2006–2010), has begun its operation after passing the national acce...
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Article
A fast nondominated sorting-based MOEA with convergence and diversity adjusted adaptively
In the past few decades, to solve the multi-objective optimization problems, many multi-objective evolutionary algorithms (MOEAs) have been proposed. However, MOEAs have a common difficulty: because the divers...
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Chapter and Conference Paper
CLF-Net: A Few-Shot Cross-Language Font Generation Method
Designing a font library takes a lot of time and effort. Few-shot font generation aims to generate a new font library by referring to only a few character samples. Accordingly, it significantly reduces labor c...
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Article
Open AccessDelineating the early dissemination mechanisms of acral melanoma by integrating single-cell and spatial transcriptomic analyses
Acral melanoma (AM) is a rare subtype of melanoma characterized by a high incidence of lymph node (LN) metastasis, a critical factor in tumor dissemination and therapeutic decision-making. Here, we employ sing...
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Article
A human activity recognition method using wearable sensors based on convtransformer model
Deep learning models have recently attracted great interest as an effective solution to the challenging problem of human activity recognition (HAR) and its widespread applications in medical rehabilitation and...
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Article
Open AccessCalorimetric evidence for two phase transitions in Ba1−xKxFe2As2 with fermion pairing and quadrupling states
Materials that break multiple symmetries allow the formation of four-fermion condensates above the superconducting critical temperature (Tc). Such states can be stabilized by phase fluctuations. Recently, a fermi...
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Article
Machining Feature Recognition Using Descriptors with Range Constraints for Mechanical 3D Models
In machining feature recognition, geometric elements generated in a three-dimensional computer-aided design model are identified. This technique is used in manufacturability evaluation, process planning, and t...
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Article
Hybrid feature constraint with clustering for unsupervised person re-identification
Unsupervised person re-identification (Re-ID) has better scalability and usability in real-world deployments due to the lack of annotations, which is more challenging than supervised methods. State-of-the-art ...
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Article
Open AccessNormal vibration distribution search-based differential evolution algorithm for multimodal biomedical image registration
In linear registration, a floating image is spatially aligned with a reference image after performing a series of linear metric transformations. Additionally, linear registration is mainly considered a preproc...
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Article
Attention deep residual networks for MR image analysis
Prostate diseases often occur in men. For further clinical treatment and diagnosis, we need to do accurate segmentation on prostate. There are already many methods that concentrate on solving the problem of au...
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Article
Long-Term Results of Bariatric Surgery in Adolescents with at Least 5 Years of Follow-up: a Systematic Review and Meta-Analysis
The purpose of this study was to investigate the long-term outcomes of bariatric surgery in adolescents with obesity by including studies with a follow-up of at least 5 years.
