Plastic debris mediates bacterial community coalescence by breaking dispersal limitation in the sediments of a large river.

Plastic debris has recently been proposed as a novel habitat for bacterial colonization, which can raise perturbations in bacterial ecology after burial in riverine sediments. However, community coalescence, as a prevalent process involving the interrelationships of multiple communities and their surrounding environments, has been rarely discussed to reveal the impact of the plastisphere on sedimentary bacterial community. This study analyzed the bacterial community in plastic debris and sediment along the Nujiang River, elucidating the role of the plastisphere in mediating community coalescence in sediments. Our results demonstrated that the plastisphere and sedimentary bacterial communities exhibited distinct biogeography along the river (r = 0.694, p < 0.01). Based on overlapped taxa and SourceTracker, the extent of coalescence between adjacent communities was in following orders: plastic-plastic (0.589) > plastic-sediment (0.561) > sediment-sediment (0.496), indicating the plastisphere promoted bacterial community coalescence along the river. Flow velocity and geographic distance were the major factors driving the plastisphere changes, suggesting that the plastisphere were vulnerable to dispersal. The null model and the neutral model provided additional support for the higher immigration ability of the plastisphere to overcome dispersal limitation, highlighting the potential importance of the plastisphere in community coalescence. Network analysis indicated the critical role of keystone species (Proteobacteria, Bacteroidetes, and Gemmatimonadetes) in mediating the coalescence between sedimentary bacterial community and the plastisphere. In summary, the plastisphere could mediate the coalescence of bacterial communities by overcoming dispersal limitation, which provides new perspectives on the plastisphere altering bacterial ecology in riverine sediments.

[Cognitive Impairments and Associated Factors in Community-dwelling Elderly in Chengdu, Sichuan].

OBJECTIVE: To determine the prevalence and associated factors of cognitive impairments in the community-dwelling elderly aged 60 years or older in Chengdu of Sichuan province. METHODS: A random cluster sampling strategy was adopted to select 621 community-dwelling elderly. Face-to-face interviews were conducted to assess the cognitive status of the participants. 2 tests and logistic regression analyses were performed to identify factors associated with cognitive impairments. RESULTS: About 40.9% of the participants had cognitive impairments. Those attended primary schools had a lower risk of cognitive impairments [odds ratio OR)=0.369, P<0.001] compared with the illiterate ones. Older age OR=1.505 for 70-79 years, P=0.042; OR=3.069 for ≥80 years, P<0.001), cerebrovascular disease OR=2.159, P=0.003) and smoking OR=2.388, P<0.001) were risk factors of cognitive impairments. Men had lower risk OR=0.489, P=0.005) of cognitive impairments than women. CONCLUSION: The prevalence of cognitive impairments in community-dwelling elderly in Chengdu is high in comparison with those in other cities. Illiteracy, older age (over 70 years), women, smoking, and cerebrovascular disease are risk factors of cognitive impairments.

Review of pore network modelling of porous media: Experimental characterisations, network constructions and applications to reactive transport.

Pore network models have been applied widely for simulating a variety of different physical and chemical processes, including phase exchange, non-Newtonian displacement, non-Darcy flow, reactive transport and thermodynamically consistent oil layers. The realism of such modelling, i.e. the credibility of their predictions, depends to a large extent on the quality of the correspondence between the pore space of a given medium and the pore network constructed as its representation. The main experimental techniques for pore space characterisation, including direct imaging, mercury intrusion porosimetry and gas adsorption, are firstly summarised. A review of the main pore network construction techniques is then presented. Particular focus is given on how such constructions are adapted to the data from experimentally characterised pore systems. Current applications of pore network models are considered, with special emphasis on the effects of adsorption, dissolution and precipitation, as well as biomass growth, on transport coefficients. Pore network models are found to be a valuable tool for understanding and predicting meso-scale phenomena, linking single pore processes, where other techniques are more accurate, and the homogenised continuum porous media, used by engineering community.

Measurement and modelling of reactive transport in geological barriers for nuclear waste containment.

Compacted clays are considered as excellent candidates for barriers to radionuclide transport in future repositories for nuclear waste due to their very low hydraulic permeability. Diffusion is the dominant transport mechanism, controlled by a nano-scale pore system. Assessment of the clays' long-term containment function requires adequate modelling of such pore systems and their evolution. Existing characterisation techniques do not provide complete pore space information for effective modelling, such as pore and throat size distributions and connectivity. Special network models for reactive transport are proposed here using the complimentary character of the pore space and the solid phase. This balances the insufficient characterisation information and provides the means for future mechanical-physical-chemical coupling. The anisotropy and heterogeneity of clays is represented using different length parameters and percentage of pores in different directions. Resulting networks are described as mathematical graphs with efficient discrete calculus formulation of transport. Opalinus Clay (OPA) is chosen as an example. Experimental data for the tritiated water (HTO) and U(vi) diffusion through OPA are presented. Calculated diffusion coefficients of HTO and uranium species are within the ranges of the experimentally determined data in different clay directions. This verifies the proposed pore network model and validates that uranium complexes are diffusing as neutral species in OPA. In the case of U(vi) diffusion the method is extended to account for sorption and convection. Rather than changing pore radii by coarse grained mathematical formula, physical sorption is simulated in each pore, which is more accurate and realistic.