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1.
Angew Chem Int Ed Engl ; 63(23): e202403585, 2024 Jun 03.
Artículo en Inglés | MEDLINE | ID: mdl-38565432

RESUMEN

In spite of the competitive performance at room temperature, the development of sodium-ion batteries (SIBs) is still hindered by sluggish electrochemical reaction kinetics and unstable electrode/electrolyte interphase under subzero environments. Herein, a low-concentration electrolyte, consisting of 0.5M NaPF6 dissolving in diethylene glycol dimethyl ether solvent, is proposed for SIBs working at low temperature. Such an electrolyte generates a thin, amorphous, and homogeneous cathode/electrolyte interphase at low temperature. The interphase is monolithic and rich in organic components, reducing the limitation of Na+ migration through inorganic crystals, thereby facilitating the interfacial Na+ dynamics at low temperature. Furthermore, it effectively blocks the unfavorable side reactions between active materials and electrolytes, improving the structural stability. Consequently, Na0.7Li0.03Mg0.03Ni0.27Mn0.6Ti0.07O2//Na and hard carbon//Na cells deliver a high capacity retention of 90.8 % after 900 cycles at 1C, a capacity over 310 mAh g-1 under -30 °C, respectively, showing long-term cycling stability and great rate capability at low temperature.

2.
Ann Bot ; 130(7): 1041-1056, 2022 12 31.
Artículo en Inglés | MEDLINE | ID: mdl-36413156

RESUMEN

BACKGROUND AND AIMS: Invasive plants often colonize wide-ranging geographical areas with various local microenvironments. The specific roles of epigenetic and genetic variation during such expansion are still unclear. Chenopodium ambrosioides is a well-known invasive alien species in China that can thrive in metalliferous habitats. This study aims to comprehensively understand the effects of genetic and epigenetic variation on the successful invasion of C. ambrosioides. METHODS: We sampled 367 individuals from 21 heavy metal-contaminated and uncontaminated sites with a wide geographical distribution in regions of China. We obtained environmental factors of these sampling sites, including 13 meteorological factors and the contents of four heavy metals in soils. Microsatellite markers were used to investigate the demographic history of C. ambrosioides populations in China. We also analysed the effect of epigenetic variation on metalliferous microhabitat adaptation using methylation-sensitive amplified polymorphism (MSAP) markers. A common garden experiment was conducted to compare heritable phenotypic variations among populations. KEY RESULTS: Two distinct genetic clusters that diverged thousands of years ago were identified, suggesting that the eastern and south-western C. ambrosioides populations in China may have originated from independent introduction events without recombination. Genetic variation was shown to be a dominant determinant of phenotypic differentiation relative to epigenetic variation, and further affected the geographical distribution pattern of invasive C. ambrosioides. The global DNA unmethylation level was reduced in metalliferous habitats. Dozens of methylated loci were significantly associated with the heavy metal accumulation trait of C. ambrosioides and may contribute to coping with metalliferous microenvironments. CONCLUSIONS: Our study of C. ambrosioides highlighted the dominant roles of genetic variation in large geographical range expansion and epigenetic variation in local metalliferous habitat adaptation.


Asunto(s)
Chenopodium ambrosioides , Análisis del Polimorfismo de Longitud de Fragmentos Amplificados , Ecosistema , Especies Introducidas , Epigénesis Genética , Variación Genética
3.
Comput Intell Neurosci ; 2022: 6464516, 2022.
Artículo en Inglés | MEDLINE | ID: mdl-36082352

RESUMEN

Deep learning uses mechanical time-frequency signals to train deep neural networks, which realizes automatic feature extraction and intelligent diagnosis of fault features and gets rid of the dependence on a large number of signal processing technology and experience. Aiming at the problem of misclassification of similar samples, a fault diagnosis algorithm based on adaptive hierarchical clustering and subset (AHC-SFD) is proposed to extract features and applied to gearbox fault diagnosis. Firstly, the adaptive hierarchical clustering algorithm is used to analyze the characteristics of different data, and then the data set is clustered into multiple feature groups; finally, according to the feature group, the SubCNN model is established for multiscale feature extraction, so as to carry out fault diagnosis. The test results show that the fault recognition rate achieved by the proposed method is more than 99.7% on the gearbox dataset, and the method has better generalization ability.


Asunto(s)
Algoritmos , Procesamiento de Señales Asistido por Computador , Análisis por Conglomerados , Redes Neurales de la Computación
4.
Comput Intell Neurosci ; 2022: 8981778, 2022.
Artículo en Inglés | MEDLINE | ID: mdl-35875763

RESUMEN

Automated guided vehicle technology has become a hot area of scientific research due to its increasing use in manufacturing and logistics. Its main features are programming and control, remote computer eye tracking, command receiving and execution, autonomous route planning, and autonomous driving execution of tasks, with the advantages of high intelligence and flexibility. In this work, a simple vehicle model is used to study the route planning and tracking control of automatic guided vehicles. This paper uses wireless communication to find the optimal route planning problem. Using geometric methods, we develop a model of the working environment of the mobile automatic guided vehicle and develop a route finding algorithm. Based on the kinematic model, an advanced routing controller is designed to conduct experimental simulation of two trajectories and verify the effectiveness of the trajectory tracking controller. When the time is after 2 s, the position error is almost completely zero. In the path planning, when the number of iterations is greater than 10, the path length remains constant, verifying the effectiveness of the method in this paper.


Asunto(s)
Algoritmos , Conducción de Automóvil , Simulación por Computador
5.
Front Plant Sci ; 13: 845108, 2022.
Artículo en Inglés | MEDLINE | ID: mdl-35463456

RESUMEN

DNA methylation is a rapid response strategy promoting plant survival under heavy metal (HM) stress. However, the roles of DNA methylation underlying plant adaptation to HM stress remain largely unknown. Here, we used pokeweed, a hyperaccumulator of manganese (Mn) and cadmium (Cd), to explore responses of plant to HM stress at phenotypic, transcriptional and DNA methylation levels. Mn- and Cd-specific response patterns were detected in pokeweed. The growth of pokeweed was both inhibited with exposure to excess Mn/Cd, but pokeweed distinguished Mn and Cd with different subcellular distributions, ROS scavenging systems, transcriptional patterns including genes involved in DNA methylation, and differentially methylated loci (DML). The number of DML between Mn/Cd treated and untreated samples increased with increased Mn/Cd concentrations. Meanwhile, pretreatment with NADPH oxidase inhibitors prior to HM exposure markedly reduced HM-induced reactive oxygen species (ROS), which caused reductions in expressions of DNA methylase and demethylase in pretreated samples. The increased levels of HM-induced demethylation were suppressed with alleviated ROS stress, and a series of HM-related methylated loci were also ROS-related. Taken together, our study demonstrates that different HMs affect different DNA methylation sites in a dose-dependent manner and changes in DNA methylation under Mn/Cd stress are partly mediated by HM-induced ROS.

6.
Microbiome ; 10(1): 36, 2022 02 24.
Artículo en Inglés | MEDLINE | ID: mdl-35209943

RESUMEN

BACKGROUND: Soil microbiomes are considered a cornerstone of the next green revolution, and plant growth-promoting bacteria (PGPB) are critical for microbiome engineering. However, taking plant-beneficial microorganisms from discovery to agricultural application remains challenging, as the mechanisms underlying the interactions between beneficial strains and plants in native soils are still largely unknown. Increasing numbers of studies have indicated that strains introduced to manipulate microbiomes are usually eliminated in soils, while others have reported that application of PGPB as inocula significantly improves plant growth. This contradiction suggests the need for a deeper understanding of the mechanisms underlying microbe-induced growth promotion. RESULTS: We showed PGPB-induced long-term plant growth promotion after elimination of the PGPB inoculum in soils and explored the three-way interactions among the exogenous inoculum, indigenous microbiome, and plant, which were key elements of the plant growth-promoting process. We found the rhizosphere microbiome assembly was mainly driven by plant development and root recruitments greatly attenuated the influence of inocula on the rhizosphere microbiome. Neither changes in the rhizosphere microbiome nor colonization of inocula in roots was necessary for plant growth promotion. In roots, modification of DNA methylation in response to inoculation affects gene expression related to PGPB-induced growth promotion, and disruptions of the inoculation-induced DNA methylation patterns greatly weakened the plant growth promotion. Together, our results showed PGPB-induced DNA methylation modifications in roots mediated the promotion process and these modifications remained functional after elimination of the inoculum from the microbiome. CONCLUSION: This study suggests a new mechanism in which PGPB affect DNA methylation in roots to promote plant growth, which provides important insights into microbiome-plant interactions and offers new strategies for plant microbiome engineering beyond the perspective of maintaining inoculum persistence in soils. Video abstract.


Asunto(s)
Metilación de ADN , Microbiología del Suelo , Bacterias/genética , Bacterias/metabolismo , Epigénesis Genética , Desarrollo de la Planta , Raíces de Plantas/microbiología , Rizosfera
7.
J Nanosci Nanotechnol ; 20(10): 6458-6462, 2020 10 01.
Artículo en Inglés | MEDLINE | ID: mdl-32384998

RESUMEN

Black phosphorus quantum dots (BPQDs), a type of nanoscale black phosphorus (BP), have fantastic application prospects in various fields. However, the premise of the application of BPQDs depends on its effective preparation. At present, most of preparation processes of BPQDs involve in organic solvents which may be harmful to humans and the environment. Furthermore, some chemical impurities may inevitably be introduced into the final product. In addition, all the preparation processes need to be carried out under an inert gas due to the instability of BPQDs, which makes the reaction conditions more harsh and complicated. Therefore, an efficient and simple method for the preparation of BPQDs by gas exfoliation with the assistance of liquid N2 (l-N2) was developed for the first time in this study. This method is environmentally friendly and impurity-free because l-N2 is a nontoxic liquid that can be gasified to form N2. The obtained BPQDs were characterized by XRD, Raman, SEM, TEM and UV-Vis techniques and they had a lateral size of 9±3 nm.

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