409 research outputs found

    RelaciĂłn entre sedimentos terrĂ­genos costeros, facies arrecifales y evaporitas. El modelo de Centelles y su aplicaciĂłn regional

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    El modelo de sedimentaciĂłn de la Cuenca Eocena Catalana puede ser explicado mediante un nĂșmero reducido de facies (terrĂ­genas, carbonatadas y evaporĂ­ticas) estrechamente relacionadas entre sĂ­. Las facies terrĂ­genas (fan-delta, delta y barras mareales) condicionaron dinĂĄmica y morfolĂłgicamente el desarrollo de crecimientos arrecifales en el espacio y en el tiempo. Se plantea un modelo completo de esta relaciĂłn que puede ser aplicado a toda la cuenca Eocena

    The end of the reading room? Simulating the impact of digitisation on the physical access of archival collections

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    Digitisation has become an essential part of archival and library strategies to enhance access to collections. As the digital content is increasing due to large-scale digitisation projects, it is expected that providing digital access to the analogue collections will eventually reduce the number of archival records accessed in the reading room. In this paper, we investigate this issue using two approaches: system dynamics and agent-based modelling. We first analyse real data in order to identify the dynamic hypothesis of the model. Then, a sensitivity analysis is conducted on two baseline models to identify scenarios that match the real dataset. Although the two approaches suceed to simulate the number of requests in the reading room, the experimental results show that a better fit is obtained in the agent-based model when not only the number of records that have been accessed and digitised is taken into account, but also the number of times that such records have been accessed before digitisation. The proposed model can be used to explore the impact of different digitisation strategies on the decrease in access requests in the archival and library reading rooms

    Genome-wide analyses of Liberibacter species provides insights into evolution, phylogenetic relationships, and virulence factors.

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    'Candidatus Liberibacter' species are insect-transmitted, phloem-limited α-Proteobacteria in the order of Rhizobiales. The citrus industry is facing significant challenges due to huanglongbing, associated with infection from 'Candidatus Liberibacter asiaticus' (Las). In order to gain greater insight into 'Ca. Liberibacter' biology and genetic diversity, we have performed genome sequencing and comparative analyses of diverse 'Ca. Liberibacter' species, including those that can infect citrus. Our phylogenetic analysis differentiates 'Ca. Liberibacter' species and Rhizobiales in separate clades and suggests stepwise evolution from a common ancestor splitting first into nonpathogenic Liberibacter crescens followed by diversification of pathogenic 'Ca. Liberibacter' species. Further analysis of Las genomes from different geographical locations revealed diversity among isolates from the United States. Our phylogenetic study also indicates multiple Las introduction events in California and spread of the pathogen from Florida to Texas. Texan Las isolates were closely related, while Florida and Asian isolates exhibited the most genetic variation. We have identified conserved Sec translocon (SEC)-dependent effectors likely involved in bacterial survival and virulence of Las and analysed their expression in their plant host (citrus) and insect vector (Diaphorina citri). Individual SEC-dependent effectors exhibited differential expression patterns between host and vector, indicating that Las uses its effector repertoire to differentially modulate diverse organisms. Collectively, this work provides insights into the evolution of 'Ca. Liberibacter' species, the introduction of Las in the United States and identifies promising Las targets for disease management

    Data mining in collections: from epidemiology to demography

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    Random collection surveys can be a rich source of data on the material state of a collection. However, random surveys do not necessarily provide data on the causes of degradation of collection items, which is useful in terms of resource allocation. For this, the reliability theory provides us with the required concepts. Using appropriate survey methods and statistical methods of data analysis, the so obtained observational ‘epidemiology’ data has revealed risk factors that can lead to such degradation. We identified patterns in the observed data that corroborated experimental research findings and enabled us to carry out ‘demographic’ modelling of the dynamics of future change in the surveyed collection for the case study of the Amsterdam City Archives. The study shows how, using appropriate methods of collection surveying, empirical and modelling studies of real collections can be successfully integrated, leading to useful evidence supporting collection care decision making

    DYRK1A promotes dopaminergic neuron survival in the developing brain and in a mouse model of Parkinson's disease

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    In the brain, programmed cell death (PCD) serves to adjust the numbers of the different types of neurons during development, and its pathological reactivation in the adult leads to neurodegeneration. Dual-specificity tyrosine-(Y)-phosphorylation regulated kinase 1A (DYRK1A) is a pleiotropic kinase involved in neural proliferation and cell death, and its role during brain growth is evolutionarily conserved. Human DYRK1A lies in the Down syndrome critical region on chromosome 21, and heterozygous mutations in the gene cause microcephaly and neurological dysfunction. The mouse model for DYRK1A haploinsufficiency (the Dyrk1a +/− mouse) presents neuronal deficits in specific regions of the adult brain, including the substantia nigra (SN), although the mechanisms underlying these pathogenic effects remain unclear. Here we study the effect of DYRK1A copy number variation on dopaminergic cell homeostasis. We show that mesencephalic DA (mDA) neurons are generated in the embryo at normal rates in the Dyrk1a haploinsufficient model and in a model (the mBACtg Dyrk1a mouse) that carries three copies of Dyrk1a. We also show that the number of mDA cells diminishes in postnatal Dyrk1a +/− mice and increases in mBACtg Dyrk1a mice due to an abnormal activity of the mitochondrial caspase9 (Casp9)-dependent apoptotic pathway during the main wave of PCD that affects these neurons. In addition, we show that the cell death induced by 1-methyl-4-phenyl-1,2,3,6 tetrahydropyridine (MPTP), a toxin that activates Casp9-dependent apoptosis in mDA neurons, is attenuated in adult mBACtg Dyrk1a mice, leading to an increased survival of SN DA neurons 21 days after MPTP intoxication. Finally, we present data indicating that Dyrk1a phosphorylation of Casp9 at the Thr125 residue is the mechanism by which this kinase hinders both physiological and pathological PCD in mDA neurons. These data provide new insight into the mechanisms that control cell death in brain DA neurons and they show that deregulation of developmental apoptosis may contribute to the phenotype of patients with imbalanced DYRK1A gene dosage

    Diagrams of equal area coverage: a new method to assess dust deposition in indoor heritage environments

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    Particulate matter can cause a loss of value of in indoor heritage, and for this reason it is frequently monitored. The process of deposition is well-described by theoretical models that relate deposition rates with environmental variables. However, we find that the inputs and outputs of models are not directly relevant to preventive conservation. While heritage managers are concerned about area coverage by particulates, the existing models use deposition velocities as the main variable. We propose an improved graphical representation of predictions of deposition, that takes inputs that can be modified as part of preventive conservation plans (concentration and air movement) and an output that can be related to risk assessment and cleaning schedules (time to visible area coverage). By comparing the predictions with experimental data, we show that this approach is useful for small particles of outdoor origin. We also find that further research is needed to make numerical predictions relevant for cases where deposition involves coarse dust and is caused by visitor movement
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