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Article
Cyclic Beam Direction of Arrival Estimation Method for Ship Propeller Noise
In underwater acoustic applications, the conventional cyclic direction of arrival algorithm faces challenges, including a low signal-to-noise ratio and high bandwidth when compared with modulated frequencies. ...
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Article
Uncovering the predictive pathways of lithium and sodium interchange in layered oxides
Ion exchange is a powerful method to access metastable materials with advanced functionalities for energy storage applications. However, high concentrations and unfavourably large excesses of lithium are alway...
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Article
Automatic diagnosis of myopic maculopathy using continuous severity ranking labels
Clinical lesions progress continuously but previous grading strategies are not fine-grained enough to model the continuously changing features of lesions. For lack of temporal sequential medical data to provid...
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Article
Assessment of Coal Seam Strength Weakening During Carbon Sequestration: An Integrated Learning Approach
Carbon sequestration in deep, unmineable coal seams is a viable strategy for carbon reduction. However, the impact of CO2 on coal mechanical performance poses safety concerns for a reservoir. This study proposes ...
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Article
Improving the Forecasts of Coastal Wind Speeds in Tian**, China Based on the WRF Model with Machine Learning Algorithms
Characterized by sudden changes in strength, complex influencing factors, and significant impacts, the wind speed in the circum-Bohai Sea area is relatively challenging to forecast. On the western side of Boha...
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Article
Open AccessComputed tomography myocardial perfusion imaging to detect myocardial ischemia in patients with anxiety and obstructive coronary heart disease post-exposure to mental stressors
This study aims to measure myocardial blood flow (MBF) using dynamic CT- myocardial perfusion imaging (CT-MPI) combined with mental stressors in patients with obstructive coronary artery disease (OCAD) and in ...
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Article
Open AccessÅngstrom-scale gold particles loaded with alendronate via alpha-lipoic acid alleviate bone loss in osteoporotic mice
Osteoporosis is a highly prevalent metabolic disease characterized by low systemic bone mass and deterioration of bone microarchitecture, resulting in reduced bone strength and increased fracture risk. Current...
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Article
Collaborative effects of red mud and phosphogypsum on geotechnical behavior of cement-stabilized dredged clay
Red mud (RM) and phosphogypsum (PG) are two typical industrial waste around the world, which are being generated and landfilled massively per year. This study investigates the collaborative effects of RM and P...
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Article
Open AccessCombined cardiac, lung, and diaphragm ultrasound for predicting weaning failure during spontaneous breathing trial
Weaning from invasive mechanical ventilation (MV) is a complex and challenging process that involves multiple pathophysiological mechanisms. A combined ultrasound evaluation of the heart, lungs, and diaphragm ...
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Article
Automated fabric defect detection using multi-scale fusion MemAE
Fabric defect detection (FDD) is an essential part of the textile industry. To replace manual visual inspection, computer-vision-based solutions has been widely investigated in both unsupervised or supervised ...
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Article
Open AccessPreoperative ultrasound-guided dual localization with titanium clips and carbon nanoparticles for predicting the surgical approach and guiding the resection of Siewert type II esophagogastric junction adenocarcinoma
To investigate the superiority of preoperative ultrasound-guided titanium clip and nanocarbon dual localization over traditional methods for determining the surgical approach and guiding resection of Siewert t...
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Article
Open AccessEvaluation of canine adipose-derived mesenchymal stem cells for neurological functional recovery in a rat model of traumatic brain injury
Traumatic brain injury (TBI) is a common condition in veterinary medicine that is difficult to manage.Veterinary regenerative therapy based on adipose mesenchymal stem cells seem to be an effective strategy fo...
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Article
Open AccessEfficient numerical implementation of limit equilibrium method for stability analysis of unsaturated soil slopes using Gaussian integral
Unsaturated soil is widely distributed around the world but less considered in design due to the absence of a convenient analysis method in practice. The Morgenstern–Price (MP) method incorporating the extende...
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Article
Open AccessA cross-sectional study: caregiver burden and related determinants of adult patients with β-thalassemia major in mainland China
The informal caregivers of adult patients with β-thalassemia major (β-TM) bear not only physical but also emotional and economic pressures of providing care. This study is the first to evaluate the caregiver b...
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Article
Dielectric polymer grafted electrodes enhanced aqueous supercapacitors
Supercapacitors (SCs) have become increasingly important in electrical energy storage and delivery owing to their high power densities and long lifetimes. Aqueous SCs are promising for large-scale engineering ...
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Article
Open AccessOptimization of magnetic coupling mechanism of dynamic wireless power transfer based on NSGA-II algorithm
Optimization of magnetic coupling mechanism is an important way to improve the performance of a dynamic wireless power transfer system. Inspired by the common radial magnetic core for circular coils, a new rad...
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Article
Open AccessMechanistic characterization of a Drosophila model of paraneoplastic nephrotic syndrome
Paraneoplastic syndromes occur in cancer patients and originate from dysfunction of organs at a distance from the tumor or its metastasis. A wide range of organs can be affected in paraneoplastic syndromes; ho...
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Article
Open AccessUnequal impact of climate warming on meat yields of global cattle farming
Climate warming affects global livestock productivity. The meat yield from cattle farming (cattle meat per animal) represents livestock productivity at the individual level. However, the impact of warming on c...
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Article
Machine learning-based soil–structure interaction analysis of laterally loaded piles through physics-informed neural networks
This research adopts emerging machine learning techniques to tackle the soil–structure interaction analysis problems of laterally loaded piles through physics-informed neural networks (PINNs), which employs pr...
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Article
Hybrid Attention-Aware Learning Network for Facial Expression Recognition in the Wild
Facial expression recognition (FER) in the wild is one of the most challenging visual tasks owing to various uncontrolled factors such as occlusion, pose, and subtle variation in real scenes. These factors can...
