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Article
Occurrence and source analysis of heavy metals and dissolved organic matter in Nanyi Lake, Anhui Province
Nanyi Lake is a tributary in the lower reaches of the Yangtze River and the largest freshwater lake in southern Anhui. Anthropogenic activities have significantly affected the lake with the rapid development o...
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Article
Open AccessLow-dose celecoxib-loaded PCL fibers reverse intervertebral disc degeneration by up-regulating CHSY3 expression
Intervertebral disc degeneration (IDD) has been identified as one of the predominant factors leading to persistent low back pain and disability in middle-aged and elderly people. Dysregulation of Prostaglandin...
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Article
DRDDN: dense residual and dilated dehazing network
Recently, deep convolutional neural networks (CNNs) have made great achievements in image restoration. However, there exists a large space to improve the performance of CNN-based dehazing model. In this paper,...
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Chapter and Conference Paper
Unsupervised Anomaly Detection Method Based on DNS Log Data
In order to solve the problem of network attack by malicious code using Domain Name System (DNS), on the basis of analyzing the characteristics of malicious code lines and abnormal operation behaviors, this pa...
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Article
Distribution, Source Apportionment and Risk Assessment of Polycyclic Aromatic Hydrocarbons (PAHs) in Surface Sediments at the Basin Scale: A Case Study in Taihu Basin, China
As a systematic research at basin scale, this study investigated the spatial distribution, source apportionment and ecological risks of eighteen polycyclic aromatic hydrocarbons (PAHs) in surface sediments at ...
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Article
Open AccessMass testing and characterization of 20-inch PMTs for JUNO
Main goal of the JUNO experiment is to determine the neutrino mass ordering using a 20 kt liquid-scintillator detector. Its key feature is an excellent energy resolution of at least 3% at 1 MeV, for which its ...
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Article
Open AccessTunable vortex Majorana modes controlled by strain in homogeneous LiFeAs
The iron-based superconductors (FeSCs) have recently emerged as a promising single-material Majorana platform by hosting isolated Majorana zero modes (MZMs) at relatively high temperatures. To further verify i...
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Article
A novel privacy-preserving outsourcing computation scheme for Canny edge detection
With the advancement of cloud computing technology, cloud servers are utilized to process large-scale data, especially multimedia data. However, concerns about leakage of private information prevent cloud comp...
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Article
Open AccessA high-performance Cu–Al dual-ion battery realized by high-concentration Cl− electrolyte and CuS cathode
We propose a new Cu–Al dual-ion battery that aqueous solution composed of LiCl, CuCl and AlCl3 (LiCuAl) is used as the electrolyte, CuS is used as the cathode of aqueous aluminum ion battery for the first time an...
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Article
Influence of Different Coal Seam Gas Pressures and their Pulse Characteristics on Coal-and-gas Outburst Impact Airflow
Coal-and-gas outburst (CGO) is a major challenge to safe and efficient coal mining worldwide. As the primary energy source of CGO, coal seam gas determines the impact dynamic characteristics of the coal–gas tw...
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Article
AIDEDNet: anti-interference and detail enhancement dehazing network for real-world scenes
The haze phenomenon seriously interferes the image acquisition and reduces image quality. Due to many uncertain factors, dehazing is typically a challenge in image processing. The most existing deep learning-b...
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Article
Confined growth of TiO2 nanoclusters inside mesopores of core–shell silica spheres with high loading as efficient photocatalysts
In a mixed solvent composed of acetonitrile and ethanol, tetrabutyl orthotitanate (TBOT) was quickly introduced into the pores of the core–shell silica particles (SiO2@dSiO2) using the coordination bond formed be...
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Article
Exascale image processing for next-generation beamlines in advanced light sources
The development of time-resolved, multiscale and multi-modal X-ray imaging techniques at advanced light sources raises challenges on the data processing end — but image processing methods from other research a...
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Article
Open AccessDam** signatures at JUNO, a medium-baseline reactor neutrino oscillation experiment
We study dam** signatures at the Jiangmen Underground Neutrino Observatory (JUNO), a medium-baseline reactor neutrino oscillation experiment. These dam** signatures are motivated by various new physics mod...
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Article
Multi-core accelerated CRDT for large-scale and dynamic collaboration
With the advancement of networking technologies and large-scale social computing, multi-user collaboration is becoming popular. In large-scale and dynamic collaborative environments, users may arbitrarily join...
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Article
Sensitivity analysis of die structural and process parameters in porthole die extrusion of magnesium alloy tube using Taguchi method
Reasonable design and matching of die structures and process parameters play crucial roles in seam weld quality and variations in extrusion load and exit temperature during magnesium alloy porthole die extrusi...
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Article
A non-invasive learning branch to capture leaf-image attention for tree species classification
Tree species classification is a necessary and challenging task for both multimedia technique and forestry engineering. Continuous developments in multimedia and vision technology enable this task to be achiev...
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Article
Development of a one-plasmid system to replace the endogenous protein with point mutation for post-translational modification studies
Post-translational modification (PTM) is one of the major regulatory mechanism for protein activities. To understand the function of PTMs, mutants that prevent or mimic the modification are frequently utilized...
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Chapter and Conference Paper
A Semi-supervised Learning Based on Variational Autoencoder for Visual-Based Robot Localization
Robot localization, the task of determining the current pose of a robot, is a crucial problem of mobile robotic. Visual-based robot localization, which using only cameras as exteroceptive sensors, has become e...
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Chapter and Conference Paper
A Novel Construction Approach for Dehazing Dataset Based on Realistic Rendering Engine
Image dehazing is an important pre-processing for computer vision systems. Modern dehazing techniques are based deep learning and training data. Typical datasets are constructed with depth camera for indoor sc...
