One dimensional approximations of neuronal dynamics reveal computational strategy

The relationship between neuronal activity and computations embodied by it remains an open question. We develop a novel methodology that condenses observed neuronal activity into a quantitatively accurate, simple, and interpretable model and validate it on diverse systems and scales from single neurons in C. elegans to fMRI in humans. The model treats neuronal activity as collections of interlocking 1-dimensional trajectories. Despite their simplicity, these models accurately predict future neuronal activity and future decisions made by human participants. Moreover, the structure formed by interconnected trajectories—a scaffold—is closely related to the computational strategy of the system. We use these scaffolds to compare the computational strategy of primates and artificial systems trained on the same task to identify specific conditions under which the artificial agent learns the same strategy as the primate. The computational strategy extracted using our methodology predicts specific errors on novel stimuli. These results show that our methodology is a powerful tool for studying the relationship between computation and neuronal activity across diverse systems.     

Epidemic management and control through risk-dependent individual contact interventions

Testing, contact tracing, and isolation (TTI) is an epidemic management and control approach that is difficult to implement at scale because it relies on manual tracing of contacts. Exposure notification apps have been developed to digitally scale up TTI by harnessing contact data obtained from mobile devices; however, exposure notification apps provide users only with limited binary information when they have been directly exposed to a known infection source. Here we demonstrate a scalable improvement to TTI and exposure notification apps that uses data assimilation (DA) on a contact network. Network DA exploits diverse sources of health data together with the proximity data from mobile devices that exposure notification apps rely upon. It provides users with continuously assessed individual risks of exposure and infection, which can form the basis for targeting individual contact interventions. Simulations of the early COVID-19 epidemic in New York City are used to establish proof-of-concept. In the simulations, network DA identifies up to a factor 2 more infections than contact tracing when both harness the same contact data and diagnostic test data. This remains true even when only a relatively small fraction of the population uses network DA. When a sufficiently large fraction of the population (≳ 75%) uses network DA and complies with individual contact interventions, targeting contact interventions with network DA reduces deaths by up to a factor 4 relative to TTI. Network DA can be implemented by expanding the computational backend of existing exposure notification apps, thus greatly enhancing their capabilities. Implemented at scale, it has the potential to precisely and effectively control future epidemics while minimizing economic disruption.     

城市发展指数和生态足迹在直辖市可持续发展评估中的应用

综合应用城市发展指数(CDI)和生态足迹(EF)指标,分析各直辖市1978—2012年的可持续发展情况,衡量发展方式由资源消耗型向环境友好型转变的程度。研究表明:各直辖市的CDI不断增长,至2012年均达到80左右,基本处于同一层次水平,城市经济社会发展状况总体良好。EF的动态变化呈现阶段性发展的特点,各直辖市间也存在显著差异,除上海市,其他3个直辖市的EF呈现增长态势,至2012年,北京EF最高(2.60 hm2/人),重庆最低(1.79 hm~2/人),是唯一一个低于全国平均EF的直辖市。综合分析CDI和EF,在相似的社会经济发展水平下,重庆市的资源消耗较低,可持续发展潜力较大;天津市一直处于资源消耗型发展中,亟待转型;近十年来,上海和北京的城市建设模式出现了一定转变,由以消耗环境资源为代价的发展模式转变为环境友好型的发展模式。     

The histone demethylases Jhdm1a/1b enhance somatic cell reprogramming in a vitamin-C-dependent manner

Reprogramming of somatic cells into induced pluripotent stem cells (iPSCs) resets the epigenome to an embryonic-like state. Vitamin C enhances the reprogramming process, but the underlying mechanisms are unclear. Here we show that the histone demethylases Jhdm1a/1b are key effectors of somatic cell reprogramming downstream of vitamin C. We first observed that vitamin C induces H3K36me2/3 demethylation in mouse embryonic fibroblasts in culture and during reprogramming. We then identified Jhdm1a/1b, two known vitamin-C-dependent H3K36 demethylases, as potent regulators of reprogramming through gain- and loss-of-function approaches. Furthermore, we found that Jhdm1b accelerates cell cycle progression and suppresses cell senescence during reprogramming by repressing the Ink4/Arf locus. Jhdm1b also cooperates with Oct4 to activate the microRNA cluster 302/367, an integral component of the pluripotency machinery. Our results therefore reveal a role for H3K36me2/3 in cell fate determination and establish a link between histone demethylases and vitamin-C-induced reprogramming.     

我国两株登革2型病毒5′和3′端非编码区序列测定及二级结构分析

 为测定我国两株临床症状、乳鼠神经毒力不同的登革 2型病毒流行株 5′和 3′端非编码区序列 (untranslated region,UTR) ,分析二级结构差异与毒力变化的关系 ,分别从 D2 - 0 4、D2 - 44株感染的 C6/ 36细胞及鼠脑中提取总 RNA.以该 RNA为模板 ,利用 RACE法 ,分别扩增了 D2 - 0 4、D2 -44株的 5′和 3′末端 c DNA片段 .将其分别与 p GEM- T载体连接得到重组质粒 ,测定上述 c DNA插入片段的序列 .用 RNAdraw软件预测 D2 - 0 4、D2 - 44株 5′和 3′端非编码区的二级结构 .D2 - 0 4、D2 -44株 5′端和 3′端非编码区分别有 96和 454个核苷酸 .其中 5′非编码区 59位 C(D2 - 0 4 )→T(D2 -44 ) ,使 D2 - 44二级结构稳定性下降 ;3′端非编码区有 1 5个核苷酸不同 ,其中 T(355)→ A,T(32 6)→ G引起了所在位置二级结构自由能变化 ,且分别位于两个保守序列区 (conserved sequence,CS)CS1、CS2 A.这些位点变化可能与毒力有关 .     

杭州西湖水质预测方法和结果分析

本文利用二维对流扩散模型对西湖水质总磷浓度进行预测,给出方程的理论基础,编制FORTRAN77程序,在386微机上实现预测,并对预测结果作了较为详细的分析．本模型对水质环境防治决策具有实际意义．