INTRODUCTION: With the deepening of the application of big data technology, the power sector attaches great importance to power outage judgment. However, many factors affect the judgment result of ...power outage, and the analysis process is very complicated, which can not achieve the corresponding accuracy.
OBJECTIVES: Aiming at the problem that it is impossible to accurately judge the result in judging power failure, a deep mining model of big data is proposed.
METHODS: Firstly, the research data set is established using power outage big data technology to ensure the results meet the requirements. Then, the power failure judgment data are classified using big data theory, and different judgment methods are selected. Using big data theory, the accuracy of power failure judgment is verified.
RESULTS: The deep mining model of big data can improve the accuracy of power failure judgment and shorten the judgment time of power failure under big data, and the overall result is better than the statistical method of power failure.
CONCLUSION: The deep mining model based on power outage big data proposed can accurately judge the power outage fault and shorten the analysis time.
Reactive oxygen species (ROS) plays a key role in therapeutic effects as well as side effects of platinum drugs. Cisplatin mediates activation of nicotinamide adenine dinucleotide phosphate (NADPH) ...oxidase (NOX), which triggers oxygen (O2) to superoxide radical (O2 • –) and its downstream H2O2. Through the Fenton’s reaction, H2O2 could be catalyzed by Fe2+/Fe3+ to the toxic hydroxyl radicals (•OH), which cause oxidative damages to lipids, proteins, and DNA. By taking the full advantage of Fenton’s chemistry, we herein demonstrated tumor site-specific conversion of ROS generation induced by released cisplatin and Fe2+/Fe3+ from iron-oxide nanocarriers with cisplatin(IV) prodrugs for enhanced anticancer activity but minimized systemic toxicity.
Based on the survey data of plant resources in Cao Lake Wetland Nature Reserve, using analytic hierarchy process (AHP) and square root method, the evaluation system of plant priority protection was ...constructed. From three aspects of endangered coefficient, genetic coefficient and species coefficient, the plant species in the reserve were evaluated quantitatively and comprehensively, and the protection levels were divided. The results showed that there were 179 plant species in nature reserve, including 5 endangered species, 9 vulnerable species, 41 near threatened species and 124 least concerned species. The priority protection levels of plants were determined, including 1 species of the primary protection, 12 species of the secondary protection, 20 species of the tertiary protection and 146 species of the delayed protection, and corresponding protection suggestions were put forward. The purpose is to provide more effective background information and data support for the plant protection work and to help protect biodiversity.
In the bispotted field cricket auditory pulse pattern recognition of the species-specific calling song is based on a delay-line and coincidence detection network, established by the activity and ...synaptic connections of only 5 auditory neurons in the brain. To obtain a more detailed understanding of the network and the dynamic of the neural activity over time we analyzed the response properties of these neurons to test patterns, in which the pulse duration was kept constant while the duration of specific pulse intervals was systematically altered. We confirm that the ascending interneuron AN1 and the local interneuron LN2 copy the structure of the pulse pattern, however with limited resolution at short pulse intervals, further evident in downstream neural responses. In the non-spiking delay-line interneuron LN5 during long pulse intervals full-blown rebound potentials develop over a time course of 35–70 ms. LN5 also reveals an overall increase in its membrane potential tuned to chirps of the calling song pulse pattern. This may contribute to the pattern recognition process by driving the activity of the coincidence-detector LN3 and may indicate a further function of the delay-line neuron LN5. The activity of LN3 and of the feature detector LN4 match the tuning of the phonotactic behavior and demonstrate an increasingly sparse coding of the calling song pulse patterns as evident in the response of the feature detector LN4. The circuitry reveals a fundamental mechanism of auditory pattern recognition and demonstrates a principle of neuronal coding.
Organic small molecule material, spiro-OMeTAD, is widely used in perovskite solar cells as the hole transport material due to its desirable properties, such as suitable highest occupied molecular ...orbital energy levels, high solubility and good film forming ability. However, the aggregation and hydrolysis of the common additive, Li-TFSI, in the spiro-OMeTAD, lead to the existence of voids/pinholes in the hole transport layer, which limits further improvement of perovskite solar cell efficiency. Here, we develop a low-cost and easy-fabrication technique to substantially reduce the undesired voids in hole transport layer by modifying it with commercially available PbI2. The strong interaction between the PbI2 and the TBP retards the evaporation of TBP, which hinders the agglomeration of Li-TFSI and generation of voids in the HTL. Consequently, the HTL shows a dramatically improved mobility and efficiency of charge carrier extraction, leading to a better response to steady-state condition with less than 1s for the corresponding photovoltaic device (where the control device shows more than 26s). A champion power conversion efficiency of over 20% is obtained from PbI2 added devices by optimizing its adding amount. This work provides a facile and effective strategy to improve the performance of the hole transport materials and perovskite solar cells.
Adding PbI2 in spiro-OMeTAD precursor solution inhibits the aggregation of Li-TFSI, which improves the mobility and charge carrier extraction in HTLs. Display omitted
•PbI2 significantly inhibits the aggregation of Li-TFSI in spiro-OMeTAD.•Adding PbI2 in spiro-OMeTAD generates a dense and uniform HTL film without voids.•Fast charge extraction of the PbI2-added spiro-OMeTAD is verified.•PCE of the devices is improved from 17.6% to 20.3% by adding PbI2 in spiro-OMeTAD.
Background Autophagy inhibits tumorigenesis by limiting inflammation. LncRNAs regulate gene expression at various levels as RNAs; thus, both autophagy and lncRNAs are closely related to the ...occurrence and development of tumours. Methods A total of 232 autophagy-related genes were used to construct a coexpression network to extract autophagy-related lncRNAs. A prognostic signature was constructed by multivariate regression analysis. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis was applied to analyse enrichment in cancer-related pathways. Immune infiltration analysis was used to analyse the relationship between the prognostic signature and the tumour microenvironment. Results Nine autophagy-related lncRNAs were used to construct a prognostic model for non-small-cell lung cancer. The median risk score was used to discriminate the high- and low-risk groups, and the low-risk group was found to have better survival. Because KEGG pathway analysis showed that the prognostic signature was enriched in some immune pathways, further analysis of immune infiltration was conducted, and it was found that the prognostic signature did play a unique role in the immune microenvironment. Additionally, the prognostic signature was associated with clinical factors. Conclusion We constructed a prognostic model of autophagy-related lncRNAs that can predict the prognosis of non-small-cell lung cancer. Keywords: Autophagy, Cancer, lncRNAs, Signature, Immune infiltration
Significant progress has occurred in Interferometric Synthetic Aperture Radar (InSAR), emerging as a crucial technique for monitoring surface deformation. This evolution is attributed to expanded ...Synthetic Aperture Radar (SAR) data availability and improved data quality. However, effectively managing and processing SAR big data presents substantial challenges for algorithms and pipelines, especially in large-scale contexts. In this paper, we introduce a parallel time-series InSAR processing platform that leverages High-Performance Computing (HPC) clusters for efficiently managing and processing large-scale SAR data, and incorporates Graphics Processing Unit (GPU) acceleration to significantly enhance the speed and efficiency of specific InSAR processing algorithms. Our approach encompasses high-quality data compression, integration of classic InSAR models, and the introduction of a robust Distributed Scatterer InSAR method for time-series processing. The platform efficiently handles massive data, featuring a parallel optimization tool for acceleration. Additionally, it provides web-based 2D result visualization and 3D outcome representation for comprehensive user understanding. To illustrate our platform's capabilities, we applied it to 40 Sentinel-1 SAR data scenes from Tibet (2017-2019). Our data compression technique notably reduces data size, reducing mask data by 87.5% and coherence data to 25% of its original size. Leveraging HPC and GPU, we achieved a 50% reduction in registration computation time. This study offers valuable insights and a comprehensive platform for InSAR practitioners, facilitating calculations and enhancing comprehension of surface deformation processes. Our system's improved processing efficiency, coupled with a variety of InSAR methods, makes it an alternative choice for InSAR data handling and analysis.
A phthalonitrile monomer (DPTP) containing pyridine with sulfide bonds was prepared and cured into polymers using different curing agents under the same temperature-programmed process. We ...characterized and comprehensively evaluated the effects of different curing agents on the thermal and thermomechanical properties of phthalonitrile resin, showing that the DPTP monomer cured with naphthalene-containing curing agent exhibited the best performance among the three polymers. Differential scanning calorimetric (DSC) investigation manifested that the melting point of the DPTP monomer was 61 °C, with a processing window of about 170 °C, suggesting the presence of a wide processing range. Thermogravimetric analysis (TGA) demonstrated the outstanding heat resistance, T5%, of 460 °C in nitrogen, at the same time demonstrating superior long-term stability compared with other commonly used polymer materials, which proves the long-term usage under high temperatures of 300 °C. Dynamic mechanical analysis (DMA) revealed that the storage modulus at 50 °C was 3315 MPa, and the glass transition temperature (Tg) of the polymer was more than 350 °C. Therefore, DPTP resins have favorable thermal stability as well as prominent thermomechanical properties.
Uropathogenic
Escherichia coli
(UPEC) deploy an array of virulence factors to successfully establish urinary tract infections. Hemolysin is a pore-forming toxin, and its expression correlates with ...the severity of UPEC infection. Two-component signaling systems (TCSs) are a major mechanism by which bacteria sense environmental cues and respond by initiating adaptive responses. Here, we began this study by characterizing a novel TCS (C3564/C3565, herein renamed
orhK
/
orhR
for
o
xidative
r
esistance and
h
emolysis
k
inase/
r
egulator) that is encoded on a UPEC pathogenicity island, using bioinformatic and biochemical approaches. A prevalence analysis indicates that
orhK
/
orhR
is highly associated with the UPEC pathotype, and it rarely occurs in other
E
.
coli
pathotypes tested. We then demonstrated that OrhK/OrhR directly activates the expression of a putative methionine sulfoxide reductase system (C3566/C3567) and hemolysin (HlyA) in response to host-derived hydrogen peroxide (H
2
O
2
) exposure. OrhK/OrhR increases UPEC resistance to H
2
O
2
in vitro
and survival in macrophages in cell culture via C3566/C3567. Additionally, OrhK/OrhR mediates hemolysin-induced renal epithelial cell and macrophage death via a pyroptosis pathway. Reducing intracellular H
2
O
2
production by a chemical inhibitor impaired OrhK/OrhR-mediated activation of
c3566-c3567
and
hlyA
. We also uncovered that UPEC links the two key virulence traits by cotranscribing the
c3566-c3567
and
hlyCABD
operons. Taken together, our data suggest a paradigm in which a signal transduction system coordinates both bacterial pathogen defensive and offensive traits in the presence of host-derived signals; and this exquisite mechanism likely contributes to hemolysin-induced severe pathological outcomes.
Serotonin (5-hydroxytryptamine; 5-HT) and GABA (γ-aminobutyric acid) are involved in the regulation of behaviors in the central nervous system. However, it remains unclear whether they modulate ...olfaction in the peripheral nervous system, and how they modulate olfaction.
One 5-HT receptor sequence (
5-HT2) and one GABA receptor sequence (
GABAb) were identified in locust antennae by transcriptome analysis and polymerase chain reaction experiments.
hybridization localized
5-HT2 to accessory cells, while
GABAb was localized to olfactory receptor neurons (ORNs) in locust chemosensilla. Single-unit electrophysiological recordings combined with RNA interference (RNAi) experiments indicated ORNs of locusts with knockdown of
5-HT2 (ds-
5-HT2) and
GABAb (ds-
GABAb) to some odors had significantly higher responses than wild-type and control locusts in the dose-dependent responses. Moreover, the gaps between the responses of ORNs of RNAi ones and those of wild-type and ds-GFP enlarged with an increase in concentrations of odors.
Taken together, our findings suggest that 5-HT, GABA, and their receptors exist in the insect peripheral nervous system and that they may function as negative feedback to ORNs and contribute to a fine-tuning mechanism for olfaction in the peripheral nervous system.
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