Effect of modulus and dosage of waterglass on early age shrinkage of sodium silicate activated slag paste

In recent years, alkali-activated slag (AAS) as an alternative low-carbon emission and high strength cementitious material has received increased attention. However, high shrinkage and crack tendency of AAS limit its wider industrial applications. Although considerable researches have already been carried out on Portland cement (PC) based systems, the information and understanding on the early age shrinkage of AAS is still limited. On the other hand, early age shrinkage occurs mainly due to a high rate of water evaporation from the surface of fresh concrete. Therefore, this study seeks to explore the potential of two sodium silicate activated slag mixtures variables, namely, waterglass moduli and activator content, on moisture loss and early age shrinkage properties of AAS. A control AAS mix was formulated with water glass (silica modulus of 1.5) as an activator at the dosage of 4% (Na2O equivalent) by mass of slag and fixed waterbinder ratio (w/b) of 0.4. Two mixtures with modulus of 0.75 and activator dosage of 6% were compared in this study. The most significant findings to emerge from this study is that, AAS paste with moduli of 0.75 and activator content of 4% showed lower amount of early age shrinkage. However, further study still needs to be carried out in order to establish a better understanding of the current results

A micromechanical study of the equivalent granular void ratio of soil mixtures using DEM

The concept of intergranular void ratio has become more popular in characterising the behaviour of soil mixtures of sand and fine particles up to a threshold transitional fines content. The transitional fines content at which these mixtures change from a sand-dominated to a fines-dominated behaviour is usually defined as the densest mixture. For samples having a less-than-transitional fines content, the fine particles can fall inside the void spaces created by the larger sand particles. Assuming all fine particles are inactive and hence treated as void, the compression curves of different sand-dominated mixtures can be represented by a single curve in term of the intergranular void ratio. More recently an additional ‘b’ parameter was defined as the fraction of the active fine particles out of the total fine content and only the inactive fine fraction was counted as void. The value of b was usually obtained from back-analysis or predicted using a semi-empirical approach. In this numerical study using the Discrete Element Method (DEM), various definitions of the intergranular void ratio e∗ are investigated and discussed, together with the micromechanical data showing the actual involvement of the fine particles in the force transmission. The results show that the value of b is related to the fraction of the fine particles involved in transmitting the strong, larger-than-average contact forces. The value of b is not constant but increases with stress level (decreasing void ratio) and fines content for samples having fines content less than the threshold value

A 2D DEM mono-pile model under combined loading condition

This paper presents a 2D-Discrete Element Method (DEM) model that is used to study situations when vertical, lateral and combined loads are applied to a rigid mono-pile. At present, mono-pile foundations are widely used to support tall and heavy wind turbines, which are subjected to significant wind and wave actions. A safe design must address issues such as rotations and changes in soil stiffness subject to these loading conditions. Design guidance on the issue is limited, as well as the availability of laboratory and field test data. The interpretation of these results in sand, such as the relation between loading and displacement, relies mainly on empirical correlations to pile properties. Regarding numerical models, only data from Finite Element Method (FEM) can be found. They are not comprehensive enough, and most of the FEM results are sensitive to input parameters. Micro scale behaviour, such as movement and densification of discrete particles near a pile could change the mechanism of the soil-structure interaction. A DEM model was used in this paper to study the combined loading behaviour. By explicitly considering the particulate nature of the granular sand around a model pile, the micro-mechanism governing the complex soil structure was investigated. Verification of the DEM model was carried out by comparing simulation data against a model pile. Analyses of the model pile under pure vertical, pure lateral and combined loads are presented. A discussion about the permanent accumulated pile displacements caused by the combined loads is presented, together with analyses on the sand micromechanics. They should offer insights on further research to optimise the design of mono-pile foundations to resist live loads in service

DEM study on the mechanical behaviours of methane hydrate sediments: hydrate growth patterns and hydrate bonding strength

Natural methane hydrate soil sediments attract worldwide interest, as there is huge commercial potential in the immense global deposits of natural gas hydrate that lies under deep seabeds and permafrost regions. However, the geomechanical behaviour of methane hydrate soil is poorly understood. In this study, Discrete Element Method (DEM) was employed to provide insights into the mechanical behaviour of hydrate-bearing sediments with different hydrate patterns in the pores: the pore-filling case and the cementation case. A series of drained triaxial compressional tests were performed, and the results were analyzed in terms of stress-strain response and volumetric response. In both pore-filling and cementation cases, the presence of hydrates caused an increase in the strength and dilative tendency of the simulated hydrate-bearing soil samples, and the strength and dilation both increased with hydrate saturation (or amount of hydrates in the pores). In addition, at the same hydrate saturation, the cementation case showed higher values of strength and dilation than the pore-filling case. In the cementation case, two typical hydrate growth patterns were considered: soil surface coating (hydrates form around the grain surface) and soil-soil contact gathering (hydrates preferentially form at the grain contacts). Results showed that hydrate growth patterns greatly influenced the mechanical behaviour of the simulated hydrate-bearing samples, especially when the bonding strength and hydrate saturation were increased. In both patterns, strength and dilation were enhanced as bonding strength increased, and the enhancement was greater in the soil-soil contact model than in the soil surface gathering model. At high hydrate saturation, as bonding strength increased, a larger axial strain was needed to reach the peak strength, and the development of dilation was delayed

Quantifying the effects of elevated CO<inf>2</inf> on water budgets by combining FACE data with an ecohydrological model

© 2014 John Wiley & Sons, Ltd. Response of leaf area index (LAI) is the key determinant for predicting impacts of the elevated CO 2 (eCO 2 ) on water budgets. Importance of the changes in functional attributes of vegetation associated with eCO 2 for predicting responses of LAI has rarely been addressed. In this study, the WAter Vegetation Energy and Solute (WAVES) model was applied to simulate ecohydrological effects of the eCO 2 at two free-air CO 2 enrichment (FACE) experimental sites with contrasting vegetation. One was carried out by the Oak Ridge National Laboratory on the forest (ORNL FACE). The other one was conducted by the University of Minnesota on the grass (BioCON FACE). Results demonstrated that changes in functional attributes of vegetation (including reduction in specific leaf area, changes in carbon assimilation and allocation characteristics) and availability of nutrients are important for reproducing the responses of LAI, transpiration and soil moisture at both sites. Predicted LAI increased slightly at both sites because of fertilization effects of the eCO 2 . Simulated transpiration decreased 10·5% at ORNL site and 13·8% at BioCON site because of reduction in the stomatal conductance. Predicted evaporation from interception and soil surface increased slightly ( < 1·0mmyear -1 ) at both sites because of increased LAI and litter production, and increased soil moisture resulted from reduced transpiration. All components of run-off were predicted to increase because of significant decrease in transpiration. Simulated mean annual evapotranspiration decreased about 8·7% and 10·8%, and mean annual run-off increased about 11·1% (59·3mmyear -1 ) and 9·5% (37·6mmyear -1 ) at the ORNL and BioCON FACE sites, respectively

Wnt-C59 arrests stemness and suppresses growth of nasopharyngeal carcinoma in mice by inhibiting the Wnt pathway in the tumor microenvironment

Wnt/β-catenin signaling is responsible for the generation of cancer stem cells (CSCs) in many human tumors, including nasopharyngeal carcinoma (NPC). Recent studies demonstrate that Wnt or PORCN inhibitor, Wnt-C59, inhibits tumor growth in MMTV-WNT1 transgenic mice. The effect of Wnt-C59 in human tumors is not clear. In this study, the NPC cell lines investigated manifest heterogeneous responses to Wnt-C59 treatment. Wnt-C59 decreased tumor growth of SUNE1 cells in mice immediately following the administration of Wnt-C59. Mice injected with HNE1 cells did not develop visible tumors after the treatment of Wnt-C59, while control mice developed 100% tumors. Wnt-C59 inhibited stemness properties of NPC cells in a dosage-dependent manner by arresting sphere formation in both HNE1 and SUNE1 cells. Thus, Wnt-C59 has the potential to eradicate CSCs in human tumors. Active β-catenin and Axin2 proteins were strongly expressed in stromal cells surrounding growing tumors, confirming the importance of Wnt signaling activities in the microenvironment being driving forces for cell growth. These novel findings confirm the ability of Wnt-C59 to suppress Wnt-driven undifferentiated cell growth in NPC. Both anti-Wnt signaling and anti-CSC approaches are feasible strategies in cancer therapy.published_or_final_versio

Impacts of elevated CO<inf>2</inf>, climate change and their interactions on water budgets in four different catchments in Australia

© 2014 Elsevier B.V. Future water availability is affected directly by climate change mainly through changes in precipitation and indirectly by the biological effects of climate change and elevated atmospheric CO2 concentration (eCO2) through changes in vegetation water use. Previous studies of climate change impact on hydrology have focused on the direct impact and little has been reported in the literature on catchment-scale the indirect impact. In this study, we calibrated an ecohydrological model (WAVES) and used this model to estimate the direct and indirect effects and the interactive effect between climate change and eCO2 on water availability in four different catchments in Australia with contrasting climate regime and vegetation cover. These catchments were: a water-limited forest catchment and an energy-limited forest catchment, a water-limited grass catchment and an energy-limited grass catchment. The future meteorological forcing was projected from 12 GCMs representing a period centred on 2050s and future CO2 concentration was set as 550ppm. Modelling experiments show that impacts of eCO2 and projected climate change on vegetation growth, evapotranspiration (ET) and runoff were in the same magnitude but opposite directions in all four catchments, except for the effects on runoff in the energy-limited grass catchment. Predicted responses of runoff to eCO2 indicate that eCO2 increased runoff in the energy-limited forest catchment by ~2% but decreased runoff in other three catchments from 1% to 18%. This study indicates that rising CO2 increases ecosystem water use efficiency but it does not necessarily result in increased runoff because elevated CO2 also stimulates vegetation growth and increases ET. Elevated CO2 was proved to have greater impacts on runoff than climate change in the forest catchments. Modelling experiments also suggest that interactive effects between climate and CO2 are important, especially for predicting leaf area index (LAI) and ET in grassland catchments or runoff in water-limited catchments, where interactive effects were 1-6%. It implies that the assumption that linear combination of individual effects in most of previous studies is not appropriate. This study highlights the importance of considering elevated CO2 in assessing climate change impacts on catchment-scale water balance and failure to account for direct eCO2 effect or its interactive effects can lead to large bias in the predictions of future water budgets, especially for the water-limited catchments in Australia

Physiological beta-catenin signaling controls self-renewal networks and generation of stem-like cells from nasopharyngeal carcinoma

BACKGROUND: A few reports suggested that low levels of Wnt signaling might drive cell reprogramming, but these studies could not establish a clear relationship between Wnt signaling and self-renewal networks. There are ongoing debates as to whether and how the Wnt/beta-catenin signaling is involved in the control of pluripotency gene networks. Additionally, whether physiological beta-catenin signaling generates stem-like cells through interactions with other pathways is as yet unclear. The nasopharyngeal carcinoma HONE1 cells have low expression of beta-catenin and wild-type expression of p53, which provided a possibility to study regulatory mechanism of stemness networks induced by physiological levels of Wnt signaling in these cells. RESULTS: Introduction of increased beta-catenin signaling, haploid expression of beta-catenin under control by its natural regulators in transferred chromosome 3, resulted in activation of Wnt/beta-catenin networks and dedifferentiation in HONE1 hybrid cell lines, but not in esophageal carcinoma SLMT1 hybrid cells that had high levels of endogenous beta-catenin expression. HONE1 hybrid cells displayed stem cell-like properties, including enhancement of CD24(+) and CD44(+) populations and generation of spheres that were not observed in parental HONE1 cells. Signaling cascades were detected in HONE1 hybrid cells, including activation of p53- and RB1-mediated tumor suppressor pathways, up-regulation of Nanog-, Oct4-, Sox2-, and Klf4-mediated pluripotency networks, and altered E-cadherin expression in both in vitro and in vivo assays. qPCR array analyses further revealed interactions of physiological Wnt/beta-catenin signaling with other pathways such as epithelial-mesenchymal transition, TGF-beta, Activin, BMPR, FGFR2, and LIFR- and IL6ST-mediated cell self-renewal networks. Using beta-catenin shRNA inhibitory assays, a dominant role for beta-catenin in these cellular network activities was observed. The expression of cell surface markers such as CD9, CD24, CD44, CD90, and CD133 in generated spheres was progressively up-regulated compared to HONE1 hybrid cells. Thirty-four up-regulated components of the Wnt pathway were identified in these spheres. CONCLUSIONS: Wnt/beta-catenin signaling regulates self-renewal networks and plays a central role in the control of pluripotency genes, tumor suppressive pathways and expression of cancer stem cell markers. This current study provides a novel platform to investigate the interaction of physiological Wnt/beta-catenin signaling with stemness transition networks.published_or_final_versio

C-terminal truncated hepatitis B virus X protein promotes hepatocellular carcinogenesis through induction of cancer and stem cell-like properties

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Interval-Parameter Robust Minimax-regret Programming and Its Application to Energy and Environmental Systems Planning

In this study, an interval-parameter robust minimax-regret programming method is developed and applied to the planning of energy and environmental systems. Methods of robust programming, interval-parameter programming, and minimax-regret analysis are incorporated within a general optimization framework to enhance the robustness of the optimization effort. The interval-parameter robust minimax-regret programming can deal with uncertainties expressed as discrete intervals, fuzzy sets, and random variables. It can also be used for analyzing multiple scenarios associated with different system costs and risk levels. In its solution process, the fuzzy decision space is delimited into a more robust one through dimensional enlargement of the original fuzzy constraints; moreover, an interval-element cost matrix can be transformed into an interval-element regret matrix, such that the decision makers can identify desired alternatives based on the inexact minimax regret criterion. The developed method has been applied to a case study of energy and environmental systems planning under uncertainty. The results indicate that reasonable solutions have been generated