The 2011 off the Pacific coast of Tohoku Earthquake caused extensive damage to many buildings by the tsunami, but no structural damage to seismically isolated buildings (SIBs) has been reported, and the safety of SIBs...
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With the development of artificial intelligence and information technology, drones working in tandem with manned aerial vehicle have become the new normal. Current paper focuses on the following theme: how to assess t...
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In this study,the mechanical behavior of crystal group of hexagonal close-packed(hcp;αphase)and body-centered cubic(bcc;βphase)during tensile loading was investigated to elucidate the mechanism from elastic to plast...
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In this study,the mechanical behavior of crystal group of hexagonal close-packed(hcp;αphase)and body-centered cubic(bcc;βphase)during tensile loading was investigated to elucidate the mechanism from elastic to plastic deformation transition of the rolled LZ91 Mg alloy using transmission-X-ray diffraction(transmission-XRD)measurement,transmission electron microscopy(TEM),scanning transmission electron microscopy(STEM),energy dispersive X-ray spectroscopy(EDS).The approximate proof stress of the LZ91 Mg alloy sample was found that the lattice strain retained the expanded state from 0.6%nominal strain,and the transmission-XRD measurement characterized the crystalline behavior during the transition by the integrated intensity of crystal group hcp(100).The lattice strain of bcc(110)decreased from the 0.6%nominal strain due to dislocation activity,which occurred nearβ/βgrain *** addition,we performed the analyses of electron energy loss spectroscopy(EELS)modes,the Li-K peak disappeared from the segregated Li regions of 10–60 nm nearβ/βgrain boundary at the nominal strain of 0.8%.Understanding this mechanical behavior during the elastic to plastic deformation transition by transmission-XRD is crucial for the development of Mg-Li alloys.
Transportation infrastructure is crucial in determining accessibility and mobility metrics, which help us to optimize transportation systems. However, current representations of the local environment are less standard...
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Monolithic carbon electrodes with robust mechanical integrity and porous architecture are highly desired for capacitive deionization but remain *** to the excellent mechanical strength and electroconductivity,commerci...
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Monolithic carbon electrodes with robust mechanical integrity and porous architecture are highly desired for capacitive deionization but remain *** to the excellent mechanical strength and electroconductivity,commercial carbon fibers cloth demonstrates great potential as high-performance electrodes for ions *** this,its direct application on capacitive deionization is rarely reported in terms of limited pore structure and natural ***,a powerful metal-organic framework-engaged structural regulation strategy is developed to boost the desalination properties of carbon *** obtained porous carbon fibers features hierarchical porous structure and hydrophilic surface providing abundant ions-accessible sites,and continuous graphitized carbon core ensuring rapid electrons *** catalytic-etching mechanism involving oxidation of Co and subsequent carbonthermal reduction is proposed and highly relies on annealing temperature and holding *** directly evaluated as a current collector-free capacitive deionization electrode,the porous carbon fibers demonstrates much superior desalination capability than pristine carbon fibers,and remarkable cyclic stability up to 20 h with negligible ***,the PCF-1000 showcases the highest areal salt adsorption capacity of 0.037 mg cm^(−2) among carbon ***,monolithic porous carbon fibers-carbon nanotubes with increased active sites and good structural integrity by in-situ growth of carbon nanotubes are further fabricated to enhance the desalination performance(0.051 mg cm^(−2)).This work demonstrates the great potential of carbon fibers in constructing high-efficient and robust monolithic electrode for capacitive deionization.
The polyp dataset involves the confidentiality of medical records, so it might be difficult to obtain datasets with accurate annotations. This problem can be effectively solved by expanding the polyp data set with alg...
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The polyp dataset involves the confidentiality of medical records, so it might be difficult to obtain datasets with accurate annotations. This problem can be effectively solved by expanding the polyp data set with algorithms. The traditional polyp dataset expansion scheme usually requires the use of two models or traditional visual methods. These methods are both tedious and difficult to provide new polyp features for training data. Therefore, our research aims to efficiently generate high-quality polyp samples, so as to effectively expand the polyp dataset. In this study, we first added the attention mechanism to the generation model and improved the loss function to reduce the interference caused by reflection in the image generation process. Meanwhile, we used the improved generation model to remove polyps from the original image. In addition, we used masks of different shapes generated by random combinations to generate polyps with more characteristic information. The same generation model was used for the removal and generation of polyps. The generated polyp image has its own annotation, which is conducive to us directly using the expanded data set for training. Finally, we verified the effectiveness of the improved model and the dataset expansion scheme through a series of comparative experiments on the public dataset. The results showed that using the dataset we generate for training can significantly optimize the main performance indicators.
The rising prevalence of Autism Spectrum Disorder (ASD) and Attention-Deficit/Hyperactivity Disorder (ADHD) necessitates tailored digital interventions for safeguarding and enhancing the well-being of affected individ...
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This paper presents a machine learning approach to American Sign Language (ASL) fingerspelling recognition using Transformer models. Addressing the challenges of high variability in hand shapes, movement, and signing ...
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Climate Change has become an accelerating problem in recent years due to pollutants like greenhouse gases, with carbon dioxide being the most prominent. Similarly in time, works on the application and development of s...
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Accurate State of Charge (SOC) estimation for lithium-ion batteries is crucial but challenging due to their complex nonlinear behaviour and sensitivity to ambient temperature. This paper assesses a novel Cluster-Based...
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