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Introduction: This paper aims to estimate the incubation period and serial intervals for SARS-CoV-2 based on confirmed cases in Jiangxi Province of China and meta-analysis method. Methodology: Distributions of incubation period and serial interval of Jiangxi epidemic data were fitted by “fitdistrplus” package of R software, and the meta-analysis was conducted by “meta” package of R software. Results: Based on the epidemic data of Jiangxi, we found the median days of incubation period and serial interval were 5.9 days [IQR: 3.8 – 8.6] and 5.7 days [IQR: 3.6 – 8.3], respectively. The median days of the infectivity period at pre-symptomatic was 1.7 days [IQR: 1.1 – 2.4]. The meta-analysis based on 64 papers showed the pooled means of the incubation period and serial interval were 6.25 days (95% CrI: 5.75 – 6.75) and 5.15 days (95% CrI: 4.73 – 5.57), respectively. Conclusions: Our results contribute to a better understanding of COVID-19 and provide useful parameters for modelling the dynamics of disease transmission. The serial interval is shorter than the incubation period, which indicates that the patients are infectious at pre-symptomatic period, and isolation of detected cases alone is likely to be difficult to halt the spread of SARS-CoV-2.

The sedimentary characteristics and model of the shallow-water delta front are of great significance for the development of oil and gas reservoirs. At present, there are great differences in the understanding of the distribution patterns of estuary dams in the shallow-water delta front. Therefore, this paper reveals the distribution characteristics of estuary dams through the detailed dissection of the Qing 1 Member in the Daqingzijing area and establishes a completely new distribution pattern of estuary dams. By using geological data such as logging and core measurements, sedimentary microfacies at the shallow-water delta front are classified and logging facies identification charts for each sedimentary microfacies are developed. Based on the analysis of single-well and profile facies, the sedimentary evolution laws of the Qing 1 Member reservoirs are analyzed. On this basis, the sedimentary characteristics and model of the lacustrine shallow-water delta front are established. The results indicate that the Qing 1 Member in the Daqingzijing area exhibits a transitional sequence from a delta front to pro-delta facies and finally to deep lacustrine facies, with sediments continuously retrograding upward. Subaqueous distributary channels and estuary dams constitute the skeletal sand bodies of the retrogradational shallow-water delta. The estuary dam sand bodies are distributed on both sides of the subaqueous distributary channels, with sand body development gradually decreasing in scale from bottom to top. These bodies are intermittently distributed, overlapping, and laterally connected in plan view, challenging the conventional understanding that estuary dams only occur at the bifurcation points of underwater distributary channels. Establishing the sedimentary characteristics and model of the shallow-water delta front is of great significance for the exploration and development of reservoirs with similar sedimentary settings.

Little is known about how people evaluate certain and uncertain punishment. This study utilizes EEG technology to explore the cognitive processing mechanisms involved in the threat of punishment within economic game scenarios. Specifically, it investigates the impact of punishment uncertainty, integrating economic game paradigms with electric shock stimuli. FRN, P300, and SPN reflect the attention and readiness of the neural system during the anticipation of punishment. The results showed that the shock cue elicited a larger FRN and P300 than the uncertain cue, while there was no significant difference in SPN, during the anticipation for potential shock. The self-rating indicated that the uncertain cue triggered the most negative effect, and the pain-related P2 revealed that the uncertain cue increased pain perception, implying that uncertain punishment was more threatening than certain punishment. The single-trial analysis of EEG power with the linear mixed-effects model further supports these findings. This study demonstrates that, by strategically manipulating the uncertainty of the punishment, one can achieve a high-threat effect at a lower cost.

Human Dachshund homolog 1 (DACH1) is usually defined as a tumor suppressor, which plays an influential role in tumor growth and metastasis in a variety of cancer cells. However, the underlying mechanisms in these process are not yet fully clarified. In this study, DACH1 inhibited the invasion and metastasis of breast cancer cells by decreasing MMP9 expression. Mechanistically, DACH1 represses the transcriptional level of MMP9 by interacting with p65 and c-Jun at the NF-κB and AP-1 binding sites in MMP9 promoter respectively, and the association of DACH1 and p65 promote the recruitment of HDAC1 to the NF-κB binding site in MMP9 promoter, resulting in the reduction of the acetylation level and the transcriptional activity of p65. Accordingly, the level of MMP9 was decreased. In conclusion, we found a new mechanism that DACH1 could inhibit the metastasis of breast cancer cells by inhibiting the expression of MMP9.

The integration of inverter-based power sources has exacerbated the issue of power system frequency stability and placed increasingly higher demands on the frequency support capabilities of inverter-based power sources clusters. This paper proposes a calculation method for frequency regulation parameter requirements of power systems based on active reserve of inverter-based power sources. It establishes a discretized power system frequency response model using the forward difference method. Furthermore, based on active reserve of inverter-based power sources, an optimization model is constructed using multi-objective function optimization to obtain the calculation results for frequency regulation parameter requirements of power systems. This method aids system dispatchers and renewable energy stations in realtime assessment of power system frequency security levels and guides the adjustment of various frequency regulation parameters for renewable energy, ensuring the safety of power system operation.

In this paper, drop-weight impact test was carried out on an integrated composite sandwich panel of aluminum honeycomb and epoxy resin to investigate its failure modes and typical force–displacement curves, and the influences of different parameters on plateau phase duration time, nominal stress, and energy absorption capacity were analyzed. Dynamic impact test results indicated that this integrated composite sandwich panel had good integrality, stability, and energy absorption capacity. The force–displacement curves of flat-bottom impactor and gradual impactor respectively had seven and five phases. Impact velocity, impactor shape, and specimen thickness had significant influences on the plateau phase duration time, nominal stress, and energy absorption capacity of the composite panel. It can be found from our results that the mechanical properties of the integrated composite sandwich panel were superior to those of traditional sandwich panels.

Long noncoding RNAs (lncRNAs) have been identified to participate in tumorigenesis. However, the underlying mechanisms of differentially expressed lncRNAs engaged in diseases remain indistinct and need further exploration. Raw data files downloaded from TCGA and GEO dataset were used to analyze the differentially expressed lncRNAs and LINC00565 was picked out as the potential oncogene. qRT-PCR was used to analyze the LINC00565 level in ovarian tissues and cell lines. Subsequently, the selected ovarian tumor cells were then transfected with LINC00565 siRNA by Lipofectamine 2000 and the cell cycle was detected by flow cytometry. Effect of LINC00565 on tumor growth and cell cycle was verified by tumor formation assay in nude mice. The mechanism of LINC00565 involving in cell cycle regulation was further explored by Western blot. In this research, we discovered that LINC00565, a novel lncRNA, was highly expressed in ovarian cancer (OC). LINC00565 expression level was negatively associated with outcomes of OC patients. Further analysis showed that LINC00565 expression was closely correlated to tumor size, FIGO stage, but not related to other clinical features. In vitro experiments indicated that knockdown of LINC00565 significantly inhibited proliferative, invasive and migratory abilities of ovarian cancer cells. Besides, knockdown of LINC00565 can induce cell cycle arrest in G0/G1 phase. In addition, in vivo assay showed that low expression of LINC00565 inhibited the growth of OC. Further study found that LINC00565 knockdown markedly downregulated the protein expressions of CyclinD1, CyclinE1 and CDK4, but upregulated the expression of P16 and P21. Subsequently, we confirmed that LINC00565 promoted the progression of OC via upregulating GAS6, which has been confirmed to promote tumor progression. In summary, our study firstly reported that the LINC00565 functioned as an oncogene to promote the progression of OC by interacting with GAS6.

In coal mines, dynamic disasters such as rock bursts seriously threaten the safety of mining activities. Exploring the dynamic behaviors and disaster characteristics in the impact failure process of coal serves as the basis and prerequisite for monitoring and warning rock bursts. In this context, impact failure tests of coal were carried out under different axial static loads and impact velocities to analyze the dynamic behaviors and acoustic emission (AE) response characteristics of coal. The results show that the dynamic behaviors of coal under combined dynamic and static loads are significantly different from those under static loads, and the stress‐strain curve displays double peaks without an obvious compaction stage. As the axial static load grows, the dynamic strength and peak strain both have a quadratic function with the axial static load. When the coal damage intensifies instantaneously, the AE count and energy parameters both witness pulse‐like increases and reach their peak values. The damage effect of axial static loads on coal, though limited, has an extreme point. In contrast, the impact velocity can strengthen the response of AE signals and has linear function relationships with the peak values of AE count and energy. This plays a leading role in the damage to samples and sets a critical point for coal failure and fracture. Compared with the analysis results of stress and strain, the responses of AE signals are more accurate and reliable. Based on AE response characteristics, the damage evolution process of coal under the combined dynamic and static loads can be identified more accurately to reveal the moment corresponding to coal damage and the characteristics of coal failure. The research results are conducive to the further application of AE monitoring methods to early warning of rock burst disasters in coal mining sites. The stress‐strain curves of coal samples under combined dynamic and static loads differ significantly from the results under uniaxial loading. The impact velocity can strengthen the response of acoustic emission (AE) signals and has linear function relationships with the peak values of AE count and energy. It plays a leading role in the damage to samples and has a critical point for coal failure and fracture. Compared with stress‐strain curves, AE parameters show a better linear fitting effect with dynamic and static loads on samples. The research results are conducive to the further use of AE monitoring methods for early warning of rock burst disasters in coal mining sites. We think the manuscript will fit your scope and be helpful for mining applications with impact.

Ovarian cancer (OvCa) is the most common gynecological malignancy type in the United States in 2014. Functions of long non-coding RNAs (lncRNAs) in OvCa have attracted increasing attention from researchers. The present study aimed to identify an lncRNA-based signature for survival prediction in patients with OvCa. On the basis of lncRNA expression profiles from The Cancer Genome Atlas data portal, differentially expressed lncRNAs (DELs) were selected from patients with good prognosis and poor prognosis in the training set, from which the prognostic lncRNAs were identified using univariate and multivariate Cox regression analyses and used to construct a risk scoring system. The prognostic power of this lncRNA signature was tested in the training set and validated in validation dataset and entire dataset. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed on the genes significantly associated with ≥1 prognostic lncRNA, and a total of 112 DELs were identified. LncRNAs KB-1836B5, long intergenic non-protein coding RNA 566 (LINC00566) and family with sequence similarity E5 (FAM27L) were determined to be prognostic lncRNAs. A three-lncRNAs signature-based risk scoring system was developed, which classified the patients from the training set into high-risk and low-risk groups with significantly different overall survival time. Risk stratification capability of the three-lncRNAs signature was validated in the validation and entire set. Multivariate Cox regression and data stratification analyses determined that the three-lncRNAs signature was independent of other clinical variables. GO and KEGG pathway enrichment analyses determined that the three prognostic lncRNAs may be involved in a number of metabolic processes and signaling pathways, including the mechanistic target of rapamycin signaling pathway, ubiquitin-mediated proteolysis, and complement and coagulation cascades pathways. In conclusion, the results of the present study demonstrated that the three-lncRNAs signature may be an independent biomarker for predicting prognosis in patients with OvCa.