Digital twin can well solve complex problems, especially in the case of mechanical failures. Digital twin technology can be applied in 3D IoT smart factories, new smart city construction, smart ...medical care, digital energy, digital archives, warehousing and logistics visualization and other fields. Deep learning covers a wide range of applications and is extremely common. This paper discusses the application of the two in the risk prediction of coal and gas outburst strength. This paper firstly describes the method of predicting coal and gas outburst intensity. For example, the BP neural network algorithm applied to the prediction of coal and gas outburst intensity in deep learning, the air flow control system model of digital twin for coal mines, and the risk assessment algorithm of coal and gas outburst intensity in coal mines based on grey relational analysis, and various ways to predict risk. And the system model is designed in this paper. Combined with the Formula, this paper describes the process of predicting risk in detail, and then conducts experiments based on digital twin and deep learning to predict coal and gas outburst intensity. In this paper, digital twin is used to systematically design coal and gas outburst intensity prediction, and a neural network prediction model based on optimized quantum gate nodes is established. In this paper, the practical application experiment and result analysis of the optimization algorithm in the coal and gas outburst prediction model are carried out, and the conclusion is drawn. After QGNN is optimized by the sdPSO algorithm, the error is extremely small, only 2.0914, and the specific value of the prediction accuracy in practical applications is as high as 95%. The experimental data verifies the feasibility of digital twin and deep learning technology in the prediction of coal and gas outburst intensity.
In order to help Washington State interpret the data about Vespa mandarinia provided by the public report, and enable government agencies to adopt corresponding strategies to prioritize correct ...reports when resources are limited, for further investigation, this article establishes two targeted models: The first unsupervised probability prediction model. First, extract the text information of misjudgment classification in the data set, and carry out preprocessing. The data set is divided into training set and test set according to the ratio of 8:2, and the Latent Dirichlet Allocation model is trained using the misjudgment classification information in the training set. After the model training is completed, this paper makes a probability prediction on the data on the test set, and evaluates the robustness of the model through the accuracy rate on the test set. The second text similarity matching model is based on feature dimensionality reduction and extracting feature keywords as vectors. The TF-IDF algorithm is used to calculate the weight of each feature keyword in the vector to form a standard bag-of-words vector for the correct witnessing of the Vespa mandarinia report. Judge by the similarity of text similarity matching model.
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•Rhamnolipid-solubilization increases availability of hexadecane for P. aeruginosa.•Rhamnolipid-solubilization reduces bioavailability of hexadecane for P. putida.•Blocking effect of ...surfactants accounts for reduction in hexadecane bioavailability.•Bacterial compatibility is important to overcome the blocking effect.
In this study, liquid culture systems containing rhamnolipid-solubilized, separate-phase, and multi-state hexadecane as the carbon source were employed for examining the effect of rhamnolipid solubilization on the bioavailability of hexadecane. Experimental results showed that the uptake of rhamnolipid-solubilized hexadecane by Pseudomonas aeruginosa ATCC 9027, a rhamnolipid producing strain, was enhanced compared to the uptake of mass hexadecane as a separate phase, indicating rhamnolipid solubilization increased the bioavailability of hexadecane for this bacterium. For Pseudomonas putida CICC 20575 which does not produce but degrade rhamnolipid, the uptake of either rhamnolipid-solubilized hexadecane or multi-state hexadecane was inhibited. The reduction of bioavailability was assumed to be the consequence of the blocking effect caused by the partition of rhamnolipid molecules at the hexadecane-water interface. The results show that how rhamnolipid solubilization changes the bioavailability of hexadecane depends on the bacterial compatibility to rhamnolipid. The study adds insight into the knowledge of biosurfactant-associated bioavailability of hydrophobic organic compounds (HOCs), and is of importance for application of biosurfactants in bioremediation of HOCs.
Even great efforts have been made for decades, the recognition of human activities is still an unmature technology that attracted plenty of people in computer vision. In this paper, a system ...framework is presented to recognize multiple kinds of activities from videos by an SVM multi-class classifier with a binary tree architecture. The framework is composed of three functionally cascaded modules: (a) detecting and locating people by non-parameter background subtraction approach, (b) extracting various of features such as local ones from the minimum bounding boxes of human blobs in each frames and a newly defined global one, contour coding of the motion energy image (CCMEI), and (c) recognizing activities of people by SVM multi-class classifier whose structure is determined by a clustering process. The thought of hierarchical classification is introduced and multiple SVMs are aggregated to accomplish the recognition of actions. Each SVM in the multi-class classifier is trained separately to achieve its best classification performance by choosing proper features before they are aggregated. Experimental results both on a home-brewed activity data set and the public Schüldt’s data set show the perfect identification performance and high robustness of the system.
DNA replication is tightly regulated to occur once and only once per cell cycle. How chromatin, the physiological substrate of DNA replication machinery, regulates DNA replication remains largely ...unknown. Here we show that histone H3 lysine 9 demethylase Kdm4d regulates DNA replication in eukaryotic cells. Depletion of Kdm4d results in defects in DNA replication, which can be rescued by the expression of H3K9M, a histone H3 mutant transgene that reverses the effect of Kdm4d on H3K9 methylation. Kdm4d interacts with replication proteins, and its recruitment to DNA replication origins depends on the two pre-replicative complex components (origin recognition complex ORC and minichromosome maintenance MCM complex). Depletion of Kdm4d impairs the recruitment of Cdc45, proliferating cell nuclear antigen (PCNA), and polymerase δ, but not ORC and MCM proteins. These results demonstrate a novel mechanism by which Kdm4d regulates DNA replication by reducing the H3K9me3 level to facilitate formation of pre-initiative complex.
Nucleosome assembly following DNA replication and gene transcription is important to maintain genome stability and epigenetic information. Newly synthesized histones H3-H4 first bind histone ...chaperone Asf1 and are then transferred to other chaperones for nucleosome assembly. However, it is unknown how H3-H4 is transferred from the Asf1-H3-H4 complex to other chaperones because Asf1 binds H3-H4 with high affinity. Here, we show that yeast Rtt101Mms1 E3 ubiquitin ligase preferentially binds and ubiquitylates new histone H3 acetylated at lysine 56. Inactivation of Rtt101 or mutating H3 lysine residues ubiquitylated by the Rtt101Mms1 ligase impairs nucleosome assembly and promotes Asf1-H3 interactions. Similar phenotypes occur in human cells in which the ortholog of Rtt101Mms1, Cul4ADDB1, is depleted. These results indicate that the transfer of H3-H4 from the Asf1-H3-H4 complex to other histone chaperones is regulated by a conserved E3 ligase and provide evidence for crosstalk between histone acetylation and ubiquitylation in nucleosome assembly.
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•Histone H3K56 acetylation promotes Rtt101Mms1-catalyzed H3 ubiquitylation•Rtt101Mms1 and H3 ubiquitylation function in nucleosome assembly in yeast cells•Cul4ADDB1 E3 ligase regulates deposition of new H3.1 and H3.3 in human cells•Rtt101Mms1 and Cul4ADDB1 curb the interaction of histone chaperone Asf1 with H3-H4
During nucleosome assembly, crosstalk between histone acetylation and ubiquitination regulates the transfer of histones from Asf1 to other chaperones. The E3 ubiquitin ligase Rtt101-Mms1/Cul4 preferentially ubiquitinates newly synthesized and acetylated H3, promoting histone release from Asf1.
Spatial interpolation techniques play an important role in hydrology, as many point observations need to be interpolated to create continuous surfaces. Despite the availability of several tools and ...methods for interpolating data, not all of them work consistently for hydrologic applications. One of the techniques, the Laplace Equation, which is used in hydrology for creating flownets, has rarely been used for data interpolation. The objective of this study is to examine the efficiency of Laplace formulation (LF) in interpolating data used in hydrologic applications (hydrologic data) and compare it with other widely used methods such as inverse distance weighting (IDW), natural neighbor, and ordinary kriging. The performance of LF interpolation with other methods is evaluated using quantitative measures, including root mean squared error (RMSE) and coefficient of determination (R2) for accuracy, visual assessment for surface quality, and computational cost for operational efficiency and speed. Data related to surface elevation, river bathymetry, precipitation, temperature, and soil moisture are used for different areas in the United States. RMSE and R2 results show that LF is comparable to other methods for accuracy. LF is easy to use as it requires fewer input parameters compared to inverse distance weighting (IDW) and Kriging. Computationally, LF is faster than other methods in terms of speed when the datasets are not large. Overall, LF offers a robust alternative to existing methods for interpolating various hydrologic data. Further work is required to improve its computational efficiency.
More than 90% of chondroblastomas contain a heterozygous mutation replacing lysine-36 with methionine-36 (K36M) in the histone H3 variant H3.3. Here we show that H3K36 methylation is reduced globally ...in human chondroblastomas and in chondrocytes harboring the same genetic mutation, due to inhibition of at least two H3K36 methyltransferases, MMSET and SETD2, by the H3.3K36M mutant proteins. Genes with altered expression as well as H3K36 di- and trimethylation in H3.3K36M cells are enriched in cancer pathways. In addition, H3.3K36M chondrocytes exhibit several hallmarks of cancer cells, including increased ability to form colonies, resistance to apoptosis, and defects in differentiation. Thus, H3.3K36M proteins reprogram the H3K36 methylation landscape and contribute to tumorigenesis, in part through altering the expression of cancer-associated genes.
Recently, several researchers have reported the incidence of cardiac-related toxicities occurring with nivolumab (Opdivo) and pembrolizumab (Keytruda). There is still a need for balance between ...oncology treatment efficacy and reduction of cardiotoxicity burden in immune checkpoint inhibitor (ICI)-treated patients. Thus, the primary aim was to determine whether pembrolizumab or nivolumab would present with a greater risk for cardiotoxicity reports.
This meta-analysis was performed with respect to the MOOSE reporting guidelines. Studies were retrieved by searching PubMed, Embase, and Google Scholar; the search terms were Keytruda or Pembrolizumab, PD1 inhibitors, anti-PD1 drugs, Nivolumab or Opdivo, and cardiotoxicities or cardiac toxicity. The study was restricted to original articles investigating ICI-induced cardiac immune-related adverse events (irAEs). The targeted population was cancer patients treated with either pembrolizumab or nivolumab monotherapy, of which those with records of any cardiac events following the therapy were labeled as events. The measures used to achieve the comparison were descriptive proportions, probabilities, and meta-analysis pooled odds ratios (ORs).
Fifteen studies were included in this meta-analysis. Nivolumab accounted for 55.7% cardiotoxicity and pembrolizumab, for 27.31% (P = 0.027). The meta-analysis was based on the Mantel-Haenszel method, and the random-effect model yielded a pooled OR = 0.73 (95% CI 0.43-1.23 P = 0.24), with considerable heterogeneity (I
= 99% P = 0). Hence, the difference in cardiotoxicity odds risk between pembrolizumab and nivolumab was not statistically significant. On subgroup analysis based on cardiotoxicity type, the "myocarditis" subgroup in which there was no statistical heterogeneity was associated with a significant cardiotoxicity risk increase with pembrolizumab (OR = 1.30 1.07;1.59, P< 0.05; I
= 0%, Ph = 0.4).
To our knowledge, this is the first meta-analysis to compare the cardiotoxicity potentials of nivolumab and pembrolizumab. In contrast to previous reports, the overall findings here demonstrated that nivolumab-induced cardiotoxicity was more commonly reported in the literature than pembrolizumab; however, myocarditis seemed more likely to occur with pembrolizumab therapy.
The conifer
'Zhongshanshan' (
'Zhongshanshan') is characterized by rapid growth, strong stress resistance, and high ornamental value and has significant potential for use in afforestation, ...landscaping, and wood production. The main method of propagating
'Zhongshanshan' is tender branch cutting, but the cutting rooting abilities of different
'Zhongshanshan' clones differ significantly. To explore the causes of rooting ability differences at a molecular level, we analyzed the transcriptome data of cutting base and root tissues of
'Zhongshanshan 149' with a rooting rate of less than 5% and
'Zhongshanshan 118' with rooting rate greater than 60%, at the developmental time points in this study. The results indicated that differentially expressed genes between the two clones were mainly associated with copper ion binding, peroxidase, and oxidoreductase activity, response to oxidative stress, phenylpropanoid and flavonoid biosynthesis, and plant hormone signal transduction, among others. The expression pattern of
was different throughout the development of the adventitive roots of the two clone cuttings. Therefore, this gene was selected for further study. It was shown that
was a nuclear-localized transcription factor and demonstrated a positive feedback effect on rooting in transgenic
cuttings. Thus, the results of this study explain the molecular mechanism of cutting rooting and provide candidate gene resources for developing genetic breeding strategies for optimizing superior clones of
'Zhongshanshan'.
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