29,538 Result(s)
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**g** Dai
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Article
A MDA-LSTM network for remaining useful life estimation of lithium batteries
Remaining useful life (RUL) of energy storage batteries estimation is of great significance to battery failure warning and battery safety. Previous methods have primarily relied on the battery’s capacity as th...
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PMENet: a parallel UNet based on the fusion of multiple attention mechanisms for road crack segmentation
The presence of road cracks significantly impacts both traffic safety and road maintenance. Therefore, accurate detection of road cracks plays a crucial role in road maintenance and management. This study focu...
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Convolutional neural networks combined with classification algorithms for the diagnosis of periodontitis
We aim to develop a deep learning model based on a convolutional neural network (CNN) combined with a classification algorithm (CA) to assist dentists in quickly and accurately diagnosing the stage of periodon...
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Calibration method of spectroradiometer based on direct solar irradiance
The scattering channel of a spectroradiometer, as a commonly used optical parameter measuring device, can measure irradiance in all directions of the sky. To improve the calibration accuracy and efficiency, th...
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UIO-66-NH2-Derived Porous Carbon Do** with Nitrogen-Supported Pt as an Electrocatalyst for Hydrogen Evolution Reaction
Hydrogen energy is an ideal source of renewable energy. It has the advantages of high energy density and green sustainability, so develo** highly efficient hydrogen production is significant. Producing hydro...
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Wide baseline stereovision based obstacle detection for unmanned surface vehicles
Obstacle detection algorithm of a wide baseline stereovision system (WBSS) is proposed using deep learning for unmanned surface vehicle (USV). The WBSS is designed and constructed for a 7 m-class USV, which co...
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Article
Nickel Induces Pyroptosis via the Nrf2/NLRP3 Pathway in Kidney of Mice
Nickel (Ni) is considered a toxic metal, and excessive exposure can cause kidney damage. This study was designed to explore whether nickel chloride (NiCl2) can induce cell pyroptosis and its possible mechanism. H...
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Open AccessInsight into the significance of Foxp3 + tumor-infiltrating lymphocytes in squamous cell lung cancer
Although develo** a better understanding of tumor-infiltrating Foxp3 + lymphocytes (Foxp3 + TILs) might provide essential knowledge to predict response to immunotherapy and prognosis, our current knowledge a...
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COVID-19 Vaccine Hesitancy Among People Living with HIV: A Systematic Review and Meta-Analysis
Vaccine hesitancy is one of the top 10 threats to global health, which affects the prevalence and fatality of vaccine-preventable diseases over the world. During the COVID-19 pandemic, people living with HIV (...
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Long-term efficacy and safety of levonorgestrel releasing intrauterine system in the treatment of adenomyosis: evidence map**
To summarize evidence on levonorgestrel releasing intrauterine system (LNG–IUS) in the treatment of adenomyosis (AM) and to identify potential research gaps.
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Open AccessContextualizing and hybridizing academic identity formation: an analysis of international returnees and locally trained scholars in China
Academic identity formation is strongly influenced by higher education contexts. In the past decades, the Chinese higher education sector has attempted to integrate academic internationalization at the local l...
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Article
Benchmarking the Robustness of LiDAR Semantic Segmentation Models
When using LiDAR semantic segmentation models for safety-critical applications such as autonomous driving, it is essential to understand and improve their robustness with respect to a large range of LiDAR corr...
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A compact microfluidic laser-induced fluorescence immunoassay system using avalanche photodiode for rapid detection of alpha-fetoprotein
Alpha-fetoprotein (AFP), commonly employed for early diagnosis of liver cancer, serves as a biomarker for cancer screening and diagnosis. Combining the high sensitivity and specificity of fluorescence immunoas...
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Toward a solid microneedle patch for rapid and enhanced local analgesic action
Analgesic creams find widespread application as adjuncts for localized anesthesia prior to surgical procedures. Nevertheless, the onset of analgesic action is protracted due to the skin barrier’s inherent char...
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Open AccessGenetic Prediction of Osteoporosis by Anti-Müllerian Hormone Levels and Reproductive Factors in Women: A Mendelian Randomization Study
Previous observational studies have suggested that anti-Müllerian hormone (AMH) and reproductive factors are linked to reduced bone mineral density (BMD) and an increased risk of osteoporosis (OP) in women. Ho...
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Enhanced suppression of vibration response and energy transfer by using nonlinear hysteresis friction damper
This paper presents coupled structures based on a nonlinear hysteresis friction damper subjected to harmonic forces for vibration suppression. The steady-state responses of the structures are obtained by the R...
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Open AccessResDAC-Net: a novel pancreas segmentation model utilizing residual double asymmetric spatial kernels
The pancreas not only is situated in a complex abdominal background but is also surrounded by other abdominal organs and adipose tissue, resulting in blurred organ boundaries. Accurate segmentation of pancreat...
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Enhancing Deep Learning Soil Moisture Forecasting Models by Integrating Physics-based Models
Accurate soil moisture (SM) prediction is critical for understanding hydrological processes. Physics-based (PB) models exhibit large uncertainties in SM predictions arising from uncertain parameterizations and...
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Bone age assessment based on different MRI modalities of the proximal humerus epiphysis: the comparisons of T1WI, T2WI, and PDWI
Bone age assessment (BAA) is crucial in various fields, including legal proceedings, athletic competitions, and clinical medicine. However, the use of X-ray methods for age estimation without medical indicatio...
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Multi-target regression via stochastic configuration networks with modular stacked structure
Multi-target regression (MTR) has been widely studied in data analytics and its main challenge is to jointly model the input-output relationships and the intrinsic inter-target correlations. As a novel learner...
