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| 1 | Real-time forecasts of the COVID-19 epidemic in China from February 5th to February 24th,2020显示文摘The initial cluster of severe pneumonia cases that triggered the COVID-19 epidemic was identified inWuhan,China in December 2019.While early cases of the disease were linked to a wet market,human-to-human transmission has driven the rapid spread of the virus throughout China.The Chinese government has implemented containment strategies of city-wide lockdowns,screening at airports and train stations,and isolation of suspected patients;however,the cumulative case count keeps growing every day.The ongoing outbreak presents a challenge for modelers,as limited data are available on the early growth trajectory,and the epidemiological characteristics of the novel coronavirus are yet to be fully elucidated.We use phenomenological models that have been validated during previous outbreaks to generate and assess short-term forecasts of the cumulative number of confirmed reported cases in Hubei province,the epicenter of the epidemic,and for the overall trajectory in China,excluding the province of Hubei.We collect daily reported cumulative confirmed cases for the 2019-nCoV outbreak for each Chinese province from the National Health Commission of China.Here,we provide 5,10,and 15 day forecasts for five consecutive days,February 5th through February 9th,with quantified uncertainty based on a generalized logistic growth model,the Richards growth model,and a sub-epidemic wave model.Our most recent forecasts reported here,based on data up until February 9,2020,largely agree across the three models presented and suggest an average range of 7409e7496 additional confirmed cases in Hubei and 1128e1929 additional cases in other provinces within the next five days.Models also predict an average total cumulative case count between 37,415 and 38,028 in Hubei and 11,588e13,499 in other provinces by February 24,2020.Mean estimates and uncertainty bounds for both Hubei and other provinces have remained relatively stable in the last three reporting dates(February 7th e 9th).We also observe that each of the models predicts that the epidemic has reached saturation in both Hubei and other provinces.Our findings suggest that the containment strategies implemented in China are successfully reducing transmission and that the epidemic growth has slowed in recent days. | K.Roosa Y.Lee R.Luo A.Kirpich R.Rothenberg J.M.Hyman P.Yan G.Chowell | 2020 | Infectious Disease Modelling2020，5，1： | 12 |
| 2 | Spatial associations of tree species in a subtropical evergreen broad-leaved forest显示文摘Aims The spatial segregation hypothesis and the low-frequency hypothesis are two important proposed mechanisms that delay or prevent competitive exclusion in ecosystems.Because tree species interact with their neighbors,the importance of these potential processes can be investigated by analyzing the spatial structures of tree species.Methods The distribution of the adults of 27 common tree species in a fully mapped 5-ha subtropical forest plot in Baishanzu,eastern China,was analyzed to investigate the community-level intra-and interspecific spatial association patterns.We first tested for the overall spatial pattern in the 5-to 40-m neighborhoods and classified first-order bivariate associations with a diametric scheme based on Ripley’s K and nearest-neighbor statistic(G-function).Then heterogeneous Poisson null models were used to distinguish second-order interactions from overall spatial associations(including first-order effects).Finally,we analyzed correlations between the existence of species interactions and some attributes of the species involved.Important Findings Partial overlap and segregation increased with scale,whereas mixing decreased.Nearly 70%of the species pairs occurred less than expected at random,and only 3.4%of the species pairs were well mixed;11.0%of all species pairs showed significant small-scale interactions,which was a greater frequency than expected by chance if species are abundant or prefer the same habitat,but less frequent than expected if species are highly aggregated.This suggests that both spatial segregation and low frequency of species facilitate species coexistence by reducing the opportunity that trees of two species encounter each other.The study also revealed that positive interactions were more prevalent than negative interactions in the forest,which indicates that positive interactions may have important effects on forest species assemblies. | Zheng R.Luo Ming J.Yu De L.Chen You G.Wu Bing Y.Ding | 2012 | Journal of Plant Ecology2012，5，3： | 8 |
| 3 | Ultimate Shear Capacity of Plate Girders with Trapezoidally Corrugated Webs显示文摘 | R.Luo B.Edlund | | 0，，01： | 1 |
| 4 | Impulsive control and synchronization of a new chaotic system显示文摘 | R.Luo | | 0，，372： | 1 |
| 5 | Heterogeneity of neutrophils in cancer:one size does not fit all显示文摘Neutrophils play an essential role in the defense against bacterial infections and orchestrate both the innate and adaptive immune responses.With their abundant numbers,diverse function and short life span,these cells are at the forefront of immune responses,and have gained attention in recent years because of their presence in tumor sites.Neutrophil involvement pertains to tumor cells'ability to construct a suitable tumor microenvironment(TME)that accelerates their own growth and malignancy,by facilitating their interaction with surrounding cells through the circulatory and lymphatic systems,thereby influencing tumor development and progression.Studies have indicated both pro-and anti-tumor properties of infiltrating neutrophils.The TME can exploit neutrophil function,recruitment,and even production,thus resulting in pro-tumor properties of neutrophils,including promotion of genetic instability,tumor cell proliferation,angiogenesis and suppression of anti-tumor or inflammatory response.In contrast,neutrophils can mediate anti-tumor resistance by direct cytotoxicity to the tumor cells or by facilitating anti-tumor functions via crosstalk with T cells.Here,we summarize current knowledge regarding the effects of neutrophil heterogeneity under homeostatic and tumor conditions,including neutrophil phenotype and function,in cancer biology. | Song Chen Qingyu Zhang Lisha Lu Chunhui Xu Jiajia Li Jiali Zha Fengxia Ma Hongbo R.Luo Alan Y.Hsu | 2022 | Cancer Biology & Medicine2022，19，12： | 0 |
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