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In response to the present epidemic situation, this work proposes an anti-coronavirus composite polymer coating with nano-Ag2MoO4 as the core component to reduce the potential safety hazards caused by excessive use of disinfectants. Nano-β-Ag2MoO4 with mixed morphology was produced with industrialized preparation technology. Among them, oval nanoparticles are core components with antiviral properties, and long rod-shaped particles are used to identify whether the stirring process meets the standard. After x-ray diffraction and field emission scanning electron microscopy testing, nano-β-Ag2MoO4 stored for 4 years still meets the design requirements in terms of purity, crystal phase, shape, and scale, which solves the problem of the long-term effect of core components. In the existing water-based paint production process, the mixing process and formula of nano-β-Ag2MoO4 were explored, and the large-scale production process of anti-virus water-based paint was solved. Resistance tests against the HCoV-229E coronavirus showed that the anti-coronavirus activity rate of the nano-β-Ag2MoO4 coating at a weight concentration of 200 ppm was 99.5% within 2 h, which verified the effectiveness of the composite polymer coating. [ABSTRACT FROM AUTHOR]

To address the issue that the existing multidomain fusion methods do not consider data correlation within mini-batch data, the first attempt is made in this letter to propose a method based on a sample intercorrelation learning multidomain fusion network (SIMFNet), which aims to accommodate multivariate domain data and further enhance the aquatic human activity recognition (AHAR) performance. To fully use the radar multidimensional information, the three-branch convolution neural network (CNN) feature extractor is first used to extract domain-specific features from the time–range map (TRM), time–Doppler map (TDM), and cadence velocity diagram (CVD). Then, the multidomain features are fused and fed into the graph construction layer (GCL) to generate instance graphs. Next, a graph aggregation layer (GAL) is applied to aggregate node information from various-hop neighborhood domains. Finally, node-level classification is used to achieve AHAR. The experimental results evaluated on the built AHAR dataset demonstrate that the proposed SIMFNet has better generalization performance than the state-of-the-art multidomain fusion methods. [ABSTRACT FROM AUTHOR]

The root phenotypic traits have been considered as important factors in shaping the rhizosphere microbiome and regulating plant growth. However, the relationships between root phenotypic traits and the rhizosphere bacterial community remain unclear. We investigated two fields with different developing tobacco roots by a long-term positioning test in Hengshi. The well-developed root system (WDR) showed much more superiority in root phenotypic traits, including total root length, total projection area, surface area, and root tip number, than the underdeveloped root system. The specific root traits in WDR provided more ecological niches for the rhizosphere microorganisms, contributing to a more diverse microbial community and a more complex microbial network. The total root length and root tip number were the key factors shaping bacterial communities in the rhizosphere. In turn, the phyla Acidobacteria and Bacteroidetes might play vital roles in modifying root development and promoting plant growth according to their positive correlation with root phenotypic traits. Linking root phenotypic traits to the microbiome may enhance our understanding of rhizospheric interactions and their roles in developing rhizosphere ecosystems. [ABSTRACT FROM AUTHOR]

Constant false alarm rate (CFAR) detection algorithms, which are widely used in frequency-modulated continuous wave (FMCW) radar systems, achieve target detection by employing a threshold determined on the basis of a predicted background level. However, in multitarget scenarios, the multitarget shadowing effect can lead to inaccurate prediction of the background level and improper setting of the threshold, which then results in severely degraded CFAR performance. To combat this multitarget shadowing effect, a novel CFAR algorithm based on sparsity adaptive correlation maximization (SACM-CFAR) is proposed in this work. The proposed SACM-CFAR algorithm realizes target detection by utilizing the correlation between linear measurements of the radar intermediate frequency (IF) signal and the sensing matrix. To achieve a desired false alarm rate, the proposed algorithm determines the threshold by estimating the distributed parameters of the reduced sample set obtained by removing the detected targets from the original sample set. Both simulation results and field test results verify that the proposed algorithm outperforms conventional algorithms in multitarget scenarios. [ABSTRACT FROM AUTHOR]

The creep problems are often involved in soil under cyclic loading, and its behaviors of soil under cyclic loading sparks many arguments in current research field. To propose one new model to demonstrate these creep behaviors of soil under cyclic loading, the cyclic loading was simplified equivalently, and the elastic-viscoplastic model (EVPM) for soil under cyclic loading was established based on the Bingham model. The yield criterion for soil under cyclic loading with constant amplitude was proposed following the simplified load. A constitutive equation based on the EVPM was constructed by using the flow criterion related to the yield criterion. Meanwhile, the parameters of EVPM were identified and discussed. In addition, the case analysis of the EVPM was also performed. The results indicate that the stable and destructive creep behaviors of soil under cyclic loading could be well described by the recommended EVPM, and the obtained parameters in the model exhibited a clear regularity with the increase of dynamic stress amplitude. Besides, the established model could be selected to predict the stable and destructive creep behavior of soil under cyclic loading. [ABSTRACT FROM AUTHOR]

Though an experiment of exposing Daphnia magna and recovering its offspring for both 21 days, the chronic toxicity of perfluorooctane sulfonate (PFOS) to Daphnia magna and its first and third broods F1 (1st) and F1 (3rd) were investigated. Results show that when the mass concentration of PFOS is higher than 20 mg/L, the number of offspring, length and innate increase rate are significantly inhibited. Compared with the control group, the reduction of the three indicators under the highest exposure concentration are 62.2%, 40.6%, 34.0% (p<0.01), respectively. The toxic effect becomes more serious with gradually increasing of exposure concentration, which shows an obvious dose-response relationship between PFOS concentration of exposure and the toxicity to Daphnia magna. The number of offspring and length of the F1 (1st) generation are significantly inhibited when PFOS mass concentration is higher than 30 mg/L. The F1 (3rd) generation's recovery extent is better than that of the F1 (3rd) generation, and all the indicators recover closely to those of the control group except that the number of offspring, length and innate rate of increase are significantly inhibited when the Daphnia magna is exposed to the PFOS of 50 mg/L. As the most sensitive indicator, the number of offspring, length and innate rate of increase of Daphnia magna are suggested for evaluation of PFOS chronic toxicity. [ABSTRACT FROM AUTHOR]