ABSTRACT
The large size of K-ion makes the pursuit of stable high-capacity anodes for K-ion batteries (KIBs) a formidable challenge, particularly for high temperature KIBs as the electrode instability becomes more aggravated with temperature climbing. Herein, we demonstrate that a hollow ZnS@C nanocomposite (h-ZnS@C) with a precise shell modulation can resist electrode disintegration to enable stable high-capacity potassium storage at room and high temperature. Based on a model electrode, we identify an interesting structure-function correlation of the h-ZnS@C: with an increase in the shell thickness, the cyclability increases while the rate and capacity decrease, shedding light on the design of high-performance h-ZnS@C anodes via engineering the shell thickness. Typically, the h-ZnS@C anode with a shell thickness of 60â nm can deliver an impressive comprehensive performance at room temperature; the h-ZnS@C with shell thickness increasing to 75â nm can achieve an extraordinary stability (88.6 % capacity retention over 450 cycles) with a high capacity (450â mAh g-1) and a superb rate even at an extreme temperature of 60 °C, which is much superior than those reported anodes. This contribution envisions new perspectives on rational design of functional metal sulfides composite toward high-performance KIBs with insights into the significant structure-function correlation.
ABSTRACT
Temperature is an important indicator of climate change. With the gradual increase of global warming, a well-chosen model can improve the accuracy of temperature prediction. It is of great significance and value for future disaster prevention and mitigation and economic development. Monthly temperature is influenced by solar activity, monsoon, and other factors, with significant uncertainty, ambiguity, and randomness. A coupled CEEMD-BiLSTM temperature model is constructed based on the good decomposition-reconstruction characteristics of CEEMD for uncertain time series and the advantages of BiLSTM for solving stochastic prediction, and it is applied to the prediction of monthly temperature in Zhengzhou City. The results show that the minimum relative error of the coupled CEEMD-BiLSTM model is 0.01%, the maximum relative error is 0.99%, and the average relative error is 0.22%, and the prediction accuracy of this coupled model for monthly temperature in Zhengzhou is higher than that of the CEEMD-LSTM model, EEMD-BiLSTM model, and BP neural network model, with better stability and adaptability.
Subject(s)
Disasters , Environmental Monitoring , Temperature , Neural Networks, Computer , Climate Change , ForecastingABSTRACT
The complete chloroplast genome sequence of Salix maizhokunggarensis, a native shrub willow species in the south of China, has been characterized using Illumina pair-end sequencing. The plastome is 155,093 bp in length, with one large single copy region of 83,956 bp, one small single copy region of 16,221 bp, and two inverted repeat (IR) regions of 27,458 bp. It contains 116 genes, including 79 protein-coding genes, 8 ribosomal RNA, and 36 transfer RNA. Phylogenetic tree shows that this species is a sister species to S. suchowensis. The plastome of Salix can provide significant insight for elucidating the phylogenetic relationship of taxa within Salicaceae.
ABSTRACT
Swertia diluta, a traditional Chinese medicine, is widely used to treat jaundice hepatitis, dysentery, dyspepsia, etc. The plastome is 153,691 bp in length, with one large single copy region of 83,860 bp, one small single copy region of 18,301 bp, and two inverted repeat (IR) regions of 25,765 bp. It contains 134 genes, including 84 protein-coding genes, 8 ribosomal RNA, and 37 transfer RNA. Phylogenetic tree shows that S. diluta is a sister species to S. mussotii. The complete chloroplast genome could provide genetic information of this species would contribute to the formulation of protection strategy.
ABSTRACT
The diamines putrescine (PUT) and diaminopropane (DAP), the polyamines spermidine (SPD) and spermine (SPM), and the arylalkyl amines phenethylamine (PEA), tyramine (TYR), dopamine (DA), and salsolinol (SAL) were dansylated and baseline separated by LC using a Waters ODS-2 column. The dansyl derivatives were detected by fluorescence (lambda(ex): 337 nm; lambda(em): 520 nm). Besides the amine function, the phenolic OH groups of TYR, DA, and SAL were also dansylated (LC-MS, formation of N,O-didansyl [TYR] and N,O,O'-tridansyl derivatives [DA and SAL]). Calibration curves revealed response factors being appreciably lower for (N,O-didansyl) aminophenol TYR and (N,O,O'-tridansyl) DA and SAL than for N-dansylamines. However, the method is suitable as a cheap alternative to LC-MS for the simultaneous determination of polyamines and arylalkyl amines of large quantities of samples.
Subject(s)
Amines/analysis , Chromatography, Liquid/methods , Polyamines/analysis , Amines/chemistry , Dansyl Compounds/analysis , Dansyl Compounds/chemistry , Fluorometry/methods , Polyamines/chemistryABSTRACT
To visualize rice root colonization by two Azospirillum species, A. irakense KBC1 was equipped with a plasmid expressing the enhanced green fluorescent protein (EGFP) and A. brasilense Sp7 was equipped with a plasmid expressing the enhanced yellow fluorescent protein (EYFP). In both cases, intensive fluorescence was observed under the epifluorescent microscope. Striking differences for association with roots of rice seedlings were observed between the two species: (i) A. irakense cells attached faster than A. brasilense to rice roots following inoculation; (ii) A. irakense attached to rice roots as vibroid cells, while A. brasilense occurred as rounded cyst-like cells; (iii) A. irakense cells were mainly found on root hairs, whereas A. brasilense cells were mainly concentrated on root surfaces. The two Azospirillum species obviously do not compete with each other for colonization of rice roots. These results demonstrate that the two Azospirillum species differ in their mode of rice root colonization. Asthe two Azospirillum species are extensively studied for unravelling mechanisms of plant root colonization and plant growth promotion, labelling with fluorescent protein is a useful additional tool for these studies.
