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Article
Internet Usage and Non-Farm Employment of Rural Labor: Micro-Survey Data from Rural China
Under the dual background of rapid development of the digital economy and ongoing social transformation, fostering non-farm employment among rural laborers can effectively optimize resource allocation and prop...
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Article
Data-driven prediction of keyhole features in metal additive manufacturing based on physics-based simulation
The defect formation is closely related to molten pool and keyhole features in metal additive manufacturing. Experimentation and physics-based simulation methods to capture the molten pool and keyhole features...
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Article
Nitrogen addition modulates adaptive responses of Chinese fir roots to phosphorus deficiency and promotes nutrient absorption efficiency
Intensified atmospheric nitrogen (N) deposition, coupled with increased application of N fertilizers in forest plantations, has resulted in N and phosphorus (P) imbalance in the forest soil system. However, it...
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Article
JPEG Bitstreams encryption with CPA-secure and file size reduction
An adaptive key of He’s scheme is generated based on the minimum coded unit histogram (MCUH) of an original image, which can improve the ability against the known-plaintext attack while achieving file size pre...
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Article
Effect of Ce on the Segregation and Secondary-Phase Precipitation During the Solidification of S31254 Super-Austenitic Stainless Steel
The influence of different amounts of cerium on inclusion evolution, solidification structure, elemental segregation, and intermetallic precipitation in super-austenitic stainless steel S31254 were systematica...
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Article
A PV Power Forecasting Based on Mechanism Model-Driven and Stacking Model Fusion
Accurate short-term forecasting of photovoltaic power generation is crucial for power dispatching, capacity analysis, and unit commitment. Existing data-driven prediction algorithms have a certain impact on ca...
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Article
The p-Laplacian overdetermined problem on Riemannian manifolds
In this paper, we study the overdetermined problem for the p-Laplacian equation on complete noncompact Riemannian manifolds with nonnegative Ricci curvature. We prove that the regularity results of weak solutions...
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Article
Open AccessClinical and imaging characteristics of growing skull fractures in children
Growing skull fracture (GSF) is an uncommon form of head trauma among young children. In prior research, the majority of GSFs were typically classified based on pathophysiological mechanisms or the duration fo...
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Article
Machinability of SiCf/SiC ceramic matrix composites using longitudinal-torsional coupled rotary ultrasonic machining
SiCf/SiC ceramic matrix composites are widely used in high-tech fields such as aerospace and usually processed by grinding methods. In the conventional machining (CON-M), the cutting force during machining is inc...
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Article
Two-dimensional ultrasonic vibration-assisted dry grinding gear: grinding force and surface characteristics
Ultrasonic vibration-assisted dry grinding has been focused on to alleviate the cutting fluids' negative impact on environment, avoid the unnecessary waste, and reduce the manufacturing costs. However, this te...
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Article
Open AccessWell-defined in-textile photolithography towards permeable textile electronics
Textile-based wearable electronics have attracted intensive research interest due to their excellent flexibility and breathability inherent in the unique three-dimensional porous structures. However, one of th...
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Article
Open AccessSerglycin secreted by late-stage nucleus pulposus cells is a biomarker of intervertebral disc degeneration
Intervertebral disc degeneration is a natural process during aging and a leading cause of lower back pain. Here, we generate a comprehensive atlas of nucleus pulposus cells using single-cell RNA-seq analysis o...
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Chapter and Conference Paper
Multimodal Rumor Detection by Using Additive Angular Margin with Class-Aware Attention for Hard Samples
Currently, several factors limit the practicality of multimodal rumor detection (MRD). These include incomplete feature fusion in multimodal data, the weak discriminative power in the softmax-based loss, and t...
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Chapter and Conference Paper
RAR (Reality-Augmented Reality) Experience Awakening Urban Influence - “Fu Metaverse” in Fuzhou, China
The “Fu Metaverse” project pioneers urban extended reality (XR) within Fuzhou city's rich historical backdrop, especially along the Minjiang River. This paper explores the technical, creative, and practical as...
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Chapter and Conference Paper
**an Metaverse - Extended Reality Technology Enabling Digital Economy in Commercial Neighborhoods
Augmented reality is being applied in various fields. By combining digital content with the real world, information and data are instantly available, improving users’ efficiency. However, since currently most ...
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Chapter and Conference Paper
XR Empowers a New City Landmark in Qingdao: Hi Metaverse
The concept of the metaverse, centered around XR (Extended Reality) technology, has explosively impacted the market. XR technology, playing an important role in digital planning in urban development, is expect...
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Chapter and Conference Paper
Emphasizing Boundary-Positioning and Leveraging Multi-scale Feature Fusion for Camouflaged Object Detection
Camouflaged object detection (COD) aims to identify objects that blend in with their surroundings and have numerous practical applications. However, COD is a challenging task due to the high similarity between...
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Chapter
On-Chip DNN Training for Direct Feedback Alignment in FeFET
The current backpropagation (BP) training algorithm for deep neural networks (DNNs) requires all trainable parameters be stored in memory and used sequentially in the backward path, which makes training parall...
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Chapter and Conference Paper
Boundary Guided Feature Fusion Network for Camouflaged Object Detection
Camouflaged object detection (COD) refers to the process of detecting and segmenting camouflaged objects in an environment using algorithmic techniques. The intrinsic similarity between foreground objects and ...
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Article
The predictive value of the neutrophil/platelet ratio on in-hospital adverse events and long-term prognosis in patients with coronary artery disease after percutaneous coronary intervention and its possible internal mechanism
The neutrophil-to-platelet ratio (NPR) is considered to be an indicator of inflammatory status. The value of the NPR in predicting in-hospital adverse events (AEs) and long-term prognosis after percutaneous co...
