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Statistical graphics has a long history and is an important mean to present study design, analysis results and conclusions of medical research. A survey of statistical graphs of recent publications in Chinese and English academic journals shows that scientific and technical specifications of statistical graphics are still lacking. Based on the requirements of statistical graphics in prestigious medical journals (统计图形历史悠久，是呈现医学研究设计、结果、结论的重要方式。纵观近年来中英文学术期刊中的统计图形可知，当前医学研究人员对统计图形的科学性和规范性的把握尚有不足。本文以

This paper describes the imperfection and correction for the CEPC CDR lattice in the Higgs mode. The correction scheme contains closed orbit correction, optics correction and the betatron coupling correction. Two error cases with 1000 lattice seeds are studied and statistically analyzed. The dynamic aperture after correction is also studied to compare the on-axis beam injection requirement.

Using the Parker Solar Probe data taken in the inner heliosphere, we investigate the power and spatial anisotropy of magnetic-field spectra at kinetic scales (i.e., around sub-ion scales) in solar wind turbulence in the inner heliosphere. We find that strong anisotropy of magnetic spectra occurs at kinetic scales with the strongest power in the perpendicular direction with respect to the local magnetic field (forming an angle theta_B with the mean flow velocity). The spectral index of magnetic spectra varies from -3.2 to -5.8 when the angle theta_B changes from 90 to 180 (or 0) deg, indicating that strong anisotropy of the spectral indices occurs at kinetic scales in the solar wind turbulence. Using a diagnosis based on the magnetic helicity, we show that the anisotropy of the spectral indices can be explained by the nature of the plasma modes that carry the cascade at kinetic scales. We discuss our findings in light of existing theories and current development in the field., 15 pages, 3 figures, accepted by ApJL

Depression in magnetic field strength with a scale below one proton gyroradius is referred to as kinetic-size magnetic hole (KSMH). KSMHs are frequently observed near terrestrial space environments and are thought to play an important role in electron energization and energy dissipation in space plasmas. Recently, KSMHs have been evidenced in the Venusian magnetosheath. However, observations of KSMHs in other planetary environments are still lacking. In this study, we present the in situ detection of KSMHs in Martian magnetosheath using Mars Atmosphere and Volatile EvolutioN (MAVEN) for the first time. The distribution of KSMHs is asymmetry in the southern northern hemisphere and no obvious asymmetry in the dawn dusk hemisphere. The observed KSMHs are accompanied by increases in the electron fluxes in the perpendicular direction, indicating the cues of trapped electrons and the formation of electron vortices inside KSMHs. These features are similar to the observations in the terrestrail magtosheath and magnetotail plasma sheet and the Venusian magnetosheath. This implies that KSMHs are a universal magnetic structure in space., 16 pages, 4 figures, accepted by ApJ

Parker Solar Probe has been the first spacecraft to enter the deep corona below the Alfvén critical point. Here we examine the higher-order statistical properties of magnetic-field fluctuations in the sub-Alfvénic solar wind and compare the results with the neighboring super-Alfvénic region. The intermittency and multifractal properties are analyzed by inspecting the probability density functions, the scale-dependent kurtosis, and fractal spectrum of magnetic-field fluctuations. It is found that the magnetic-field fluctuations present distinct intermittency and multifractal properties in the inertial range and the B R component reveals much higher intermittency and more asymmetrical multifractal spectrum than the other components. The non-Gaussian self-similarity of fluctuations of B R at larger scales has also been observed. Further comparative analysis shows that all the solar wind periods share nearly the same intermittency and multifractal features, and the only difference lies in that the fluctuations of the B T and B N components have slight variations.

The scaling of the turbulent spectra provides a key measurement that allows to discriminate between different theoretical predictions of turbulence. In the solar wind, this has driven a large number of studies dedicated to this issue using in-situ data from various orbiting spacecraft. While a semblance of consensus exists regarding the scaling in the MHD and dispersive ranges, the precise scaling in the transition range and the actual physical mechanisms that control it remain open questions. Using the high-resolution data in the inner heliosphere from Parker Solar Probe (PSP) mission, we find that the sub-ion scales (i.e., at the frequency f ~ [2, 9] Hz) follow a power-law spectrum f^a with a spectral index a varying between -3 and -5.7. Our results also show that there is a trend toward and anti-correlation between the spectral slopes and the power amplitudes at the MHD scales, in agreement with previous studies: the higher the power amplitude the steeper the spectrum at sub-ion scales. A similar trend toward an anti-correlation between steep spectra and increasing normalized cross helicity is found, in agreement with previous theoretical predictions about the imbalanced solar wind. We discuss the ubiquitous nature of the ion transition range in solar wind turbulence in the inner heliosphere., Comment: Accepted by ApJL

The purpose of this study was to investigate the expression level of microRNA-30a-3p in hepatocellular carcinoma (HCC), and to further study its relationship with HCC clinical parameters and prognosis and the underlying mechanisms.Quantitative Real Time-Polymerase Chain Reaction (qRT-PCR) was performed to examine microRNA-30a-3p level in 44 tumor tissue specimens and paracancerous normal ones collected from HCC patients, and the interplay between microRNA-30a-3p expression and clinical indicators, as well as prognosis of HCC patients was analyzed. Meanwhile, qPCR was also used to further verify microRNA-30a-3p expression in HCC cell lines. In addition, microRNA-30a-3p overexpression and knockdown models were constructed in HCC cell lines, and the impacts of microRNA-30a-3p on HCC cell functions was evaluated by cell counting kit-8 (CCK-8), transwell and cell wound healing assays. Finally, the Luciferase reporting assay was conducted to uncover the underlying mechanism.In this study, qRT-PCR results showed that the expression level of microRNA-30a-3p in tumor tissues of HCC patients was markedly lower than that in adjacent ones. Compared with patients with high expression of microRNA-30a-3p, the patients with low expression of microRNA-30a-3p had a higher incidence of lymphatic or distant metastasis and a lower overall survival rate. In the Bel-7402 cell line, the proliferation, invasion, and metastasis ability of HCC cells were decreased markedly after microRNA-30a-3p overexpression, while in Hep3B cell line, knockdown of microRNA-30a-3p enhanced the cell proliferation and invasion capacity. In addition, Luciferase reporting assay demonstrated that microRNA-30a-3p could specifically bind to IGF1. Furthermore, Western Blot results also verified a reduced expression of IGF1 after overexpression of microRNA-30a-3p, and an elevated one after knockdown of microRNA-30a-3p. Finally, cell recovery experiment verified that microRNA-30a-3p and IGF1 may regulate each other and thereby together inhibit the malignant progression of HCC.MicroRNA-30a-3p expression is significantly decreased in HCC tumor tissue samples, which is associated with lymph node or distant metastasis rate, as well as the poor prognosis of HCC. In addition, this research suggests that microRNA-30a-3p may inhibit the malignant progression of HCC by regulating IGF1.

The prediction of the Dst index is an important subject in space weather. It has significant progress with the prevalent applications of neural networks. The selection of input parameters is critical for the prediction model of the Dst index or other space-weather models. In this study, we perform a layer-wise relevance propagation (LRP) method to select the main parameters for the prediction of the Dst index and understand the physical interpretability of neural networks for the first time. Taking an hourly Dst index and 10 types of solar wind parameters as the inputs, we utilize a long short-term memory network to predict the Dst index and present the LRP method to analyze the dependence of the Dst index on these parameters. LRP defines the relevance score for each input, and a higher relevance score indicates that the corresponding input parameter contributes more to the output. The results show that Dst, E y , B z , and V are the main control parameters for Dst index prediction. In order to verify the LRP method, we design two more supplementary experiments for further confirmation. These results confirm that the LRP method can reduce the initial dimension of neural network input at the cost of minimum information loss and contribute to the understanding of physical processes in space weather.

During the epidemics of COVID-19 in domestic China and recently continuing rapid spread worldwide, a bunch of studies fitted the epidemics by transmission dynamics model to nowcast and forecast the trend of epidemics of COVID-19. However, due to little known of the new virus in early stage and much uncertainty in the comprehensive strategies of prevention and control for epidemics, majority of models, not surprisingly, predict in less accuracy, although the dynamics model has its great value in better understanding of transmission. This comment discusses the principle assumptions and limitations of the dynamics model in forecasting the epidemic trend, as well as its great potential role in evaluating the efforts of prevention and control strategies.新型冠状病毒肺炎疫情发生后，不少学者采用传染病动力学模型进行疫情的趋势分析和发病数的拟合及预测，但由于传染病综合防控中的一些不确定因素，导致很多模型预测不准确。本文论述了传染病动力学模型的理论假设、局限性，以及在疫情预警、防控决策以及防控措施效果评价中的应用价值。.

The nature of the plasma wave modes around the ion kinetic scales in highly Alfv\'enic slow solar wind turbulence is investigated using data from the NASA's Parker Solar Probe taken in the inner heliosphere, at 0.18 Astronomical Unit (AU) from the sun. The joint distribution of the normalized reduced magnetic helicity ${\sigma}_m ({\theta}_{RB}, {\tau})$ is obtained, where ${\theta}_{RB}$ is the angle between the local mean magnetic field and the radial direction and ${\tau}$ is the temporal scale. Two populations around ion scales are identified: the first population has ${\sigma}_m ({\theta}_{RB}, {\tau}) < 0$ for frequencies (in the spacecraft frame) ranging from 2.1 to 26 Hz for $60^{\circ} < {\theta}_{RB} < 130^{\circ}$, corresponding to kinetic Alfv\'en waves (KAWs), and the second population has ${\sigma}_m ({\theta}_{RB}, {\tau}) > 0$ in the frequency range [1.4, 4.9] Hz for ${\theta}_{RB} > 150^{\circ}$, corresponding to Alfv\'en ion Cyclotron Waves (ACWs). This demonstrates for the first time the co-existence of KAWs and ACWs in the slow solar wind in the inner heliosphere, which contrasts with previous observations in the slow solar wind at 1 AU. This discrepancy between 0.18 and 1 AU could be explained, either by i) a dissipation of ACWs via cyclotron resonance during their outward journey, or by ii) the high Alfv\'enicity of the slow solar wind at 0.18 AU that may be favorable for the excitation of ACWs.

To investigate the role of the transcription factor Zinc finger 703 (ZNF703) in influencing the progression of glioma by regulating linc-UBC1 level.Linc-UBC1 level in glioma with different staging and tumor sizes was determined. The potential influences of linc-UBC1 on viability, cell cycle progression, and invasiveness of glioma cells were evaluated. Through RNA binding protein immunoprecipitation (RIP) assay and Dual-Luciferase reporter gene assay, the interaction between ZNF703 and linc-UBC1 was assessed. The rescue experiments were conducted to identify the role of ZNF703 in regulating cellular performances of glioma by interacting with linc-UBC1.Linc-UBC1 was highly expressed in glioma. Its level was higher in glioma with larger tumor size or advanced staging. The knockdown of linc-UBC1 reduced viability, arrested cell cycle in the G0/G1 phase, and attenuated invasiveness of U87 and LN229 cells. The presence of the binding sites was observed in the promoter regions of ZNF703 and linc-UBC1. The overexpression of ZNF703 could alleviate the inhibited proliferative and invasive potentials in U87 and LN229 cells with the linc-UBC1 knockdown.The transcription factor ZNF703 promotes the proliferative and invasive potentials in glioma cells by regulating the transcriptional activity of linc-UBC1.

Confounders are difficult to avoid in studies on observational comparative effectiveness. It is often unclear whether the confounders have been completely eliminated after controlling the measured or unmeasured potential confounding effects or if sensitivity analysis is needed when using the specific statistical methods, under given circumstances. This manuscript summarizes and evaluates the confounding sensitivity analysis methods. Based on different studies, sensitivity analyses need to use different approaches. The traditional sensitivity analysis can be applied for the measured confounders. Currently, the relatively systematic sensitivity analyses for unmeasured confounders would include confounding function, bounding factor and propensity score calibration. Additionally, more investigations are associated with Monte Carlo and Bayesian sensitivity analysis. Reliability of the research conclusion thus may largely be improved when the sensitivity analysis results are consistent with the main analysis.观察性疗效比较研究中混杂在所难免，在利用一些统计分析方法对已测量或未测量混杂因素加以控制后，是否消除了混杂的影响不得而知，此时需进行敏感性分析。本文介绍混杂因素处理中的敏感性分析方法。基于不同的研究，敏感性分析思路各不相同，对于已测量混杂因素可采用传统的敏感性分析方法，对于未测量混杂因素目前理论相对系统的方法主要有混杂函数法、边界因子法和倾向性评分校正法，另外Monte Carlo敏感性分析和Bayes敏感性分析也是近年来备受热议的方法。当敏感性分析结果与主要分析结果一致时，无疑提高了研究结论的可靠性。.