Nuclear Dependence: The Russian Federation\u27s Future Reliance on Nuclear Weapons for National Security

The Russian Federation‘s reliance on nuclear weapons for national security will steadily increase over time. Based on current evidence and historical data, the Russian state will be unable to recruit, arm, train, equip, reform, and fund their conventional forces well enough to match up with capabilities of what it views to be its potential adversaries. Russia‘s historic experience with invasion and vulnerable geographic position reinforce the need for a powerful weapon with which to maintain the current regime and ensure its territorial integrity. Declining demographics and persistent social illnesses will reduce the number of eligible male candidates able to serve in the military. Also, Russia‘s leaders perceive a threat environment in which there are persistent threats to the existence of the Russian Federation. Finally, nuclear weapons provide a relatively cheap and effective weapon that possesses massive destructive capability, is easily deployable, and demands respect from any potential adversary

Cyr61/CCN1 Displays High-Affinity Binding to the Somatomedin B 1–44 Domain of Vitronectin

OV) family of extracellular-associated (matricellular) proteins that present four distinct functional modules, namely insulin-like growth factor binding protein (IGFBP), von Willebrand factor type C (vWF), thrombospondin type 1 (TSP), and C-terminal growth factor cysteine knot (CT) domain. While heparin sulphate proteoglycans reportedly mediate the interaction of Cyr61 with the matrix and cell surface, the role of other extracellular associated proteins has not been revealed. at high concentrations attenuate Cyr61 binding to immobilized VTNC, while monomeric VTNC was ineffective. Therefore, immobilization of VTNC exposes cryptic epitopes that recognize Cyr61 with high affinity, as reported for a number of antibodies, β-endorphin, and other molecules. domain suggests that VTNC represent a point of anchorage for CCN family members to the matrix. Results are discussed in the context of the role of CCN and VTNC in matrix biology and angiogenesis

Nuclear dependence: The Russian Federation's future reliance on nuclear weapons for national security

The Russian Federation's reliance on nuclear weapons for national security will steadily increase over time. Based on current evidence and historical data, the Russian state will be unable to recruit, arm, train, equip, reform, and fund their conventional forces well enough to match up with capabilities of what it views to be its potential adversaries. Russia's historic experience with invasion and vulnerable geographic position reinforce the need for a powerful weapon with which to maintain the current regime and ensure its territorial integrity. Declining demographics and persistent social illnesses will reduce the number of eligible male candidates able to serve in the military. Also, Russia's leaders perceive a threat environment in which there are persistent threats to the existence of the Russian Federation. Finally, nuclear weapons provide a relatively cheap and effective weapon that possesses massive destructive capability, is easily deployable, and demands respect from any potential adversary

Modelling the interaction between policies and international trade flows for liquid biofuels: an agent-based modelling approach

World biofuel production and trade have grown exponentially in the last decade. Nevertheless, the interaction between the markets for oilseeds (food/feed/bioenergy) and liquid vegetable oil-based biofuels is overwhelmingly complex and thus not well understood. In this study, we developed a spatially explicit agent-based model to provide insights into the effect of farmers' behaviour on trade flows and biodiesel production and to shed light on the influence of import tariffs for both palm oil and biodiesel on system behaviour. This new approach enables us to assess different types of rational economic behaviour for the adoption of crops by farmers. Results show that model outcomes can vary substantially based on the assumptions made concerning the behaviour of farmers. Moreover, we found that biodiesel trade and production are more sensitive to a change in the EU-28's biodiesel import tariff than to a change in the EU-28's palm oil import tariff. Overall, our results show that social processes, actors' heterogeneity, and institutions play an important role in the behaviour of the system.</p

A conceptual framework for the analysis of the effect of institutions on biofuel supply chains

The economic performance of biofuels supply chains depends on the interaction of technical characteristics as technological pathways and logistics, and social structures as actor behavior, their interactions and institutions. Traditional approaches focus on the technical problems only. Little attention has been paid to the institutional analysis of biofuel supply chains. This paper aims to extend the analysis of the effect of institutions on the emergence of biofuel supply chains by developing a conceptual framework that combines elements of complex adaptive systems, (neo) institutional economics and socio-technical systems theory. These elements were formalized into an agent-based model. The proposed method is illustrated by a case study on a biodiesel supply chain in Germany. It was found that the patterns in production capacity result from investors basing their decisions on optimistic perceptions of the market development that increase with a favorable institutional framework. Conversely, patterns in biodiesel production cannot be completely explained by this mechanism. The proposed framework assisted the model conceptualization phase and allowed the incorporation of social structures into the agent-based model. This approach could be developed further to provide insights on the effect of different future deployment strategies on bioenergy systems emergence and development

Exploring policy options to spur the expansion of ethanol production and consumption in Brazil : An agent-based modeling approach

The Brazilian government aims to increase the share of biofuels in the energy mix to around 18% by 2030, which implies an increase of ethanol production from currently 27 bln liters to over 50 bln liters per year. Biofuel policies play an important role in ethanol production, consumption, and investment in processing capacity. Nevertheless, a clear understanding of how current policies affect the evolution of the market is lacking. We developed a spatially-explicit agent-based model to analyze the impact of different blend mandates and taxes levied on gasoline, hydrous, and anhydrous ethanol on investment in processing capacity and on production and consumption of ethanol. The model uses land use projections by the PCRaster Land Use Change model and incorporates the institutions governing the actors’ strategic decision making with regard to production and consumption of ethanol, and the institutions governing the interaction among actors. From the investigated mix of policy measures, we find that an increase of the gasoline tax leads to the highest increased investments in sugarcane processing capacity. We also find that a gasoline tax above 1.23 R$/l and a tax exemption for hydrous ethanol may lead to doubling the production of ethanol by 2030 (relative to 2016)

Modelling the interaction between policies and international trade flows for liquid biofuels: an agent-based modelling approach

World biofuel production and trade have grown exponentially in the last decade. Nevertheless, the interaction between the markets for oilseeds (food/feed/bioenergy) and liquid vegetable oil-based biofuels is overwhelmingly complex and thus not well understood. In this study, we developed a spatially explicit agent-based model to provide insights into the effect of farmers' behaviour on trade flows and biodiesel production and to shed light on the influence of import tariffs for both palm oil and biodiesel on system behaviour. This new approach enables us to assess different types of rational economic behaviour for the adoption of crops by farmers. Results show that model outcomes can vary substantially based on the assumptions made concerning the behaviour of farmers. Moreover, we found that biodiesel trade and production are more sensitive to a change in the EU-28's biodiesel import tariff than to a change in the EU-28's palm oil import tariff. Overall, our results show that social processes, actors' heterogeneity, and institutions play an important role in the behaviour of the system.Energy & Industr

Molecular Analysis of CPRα, a MATα-Specific Pheromone Receptor Gene of Cryptococcus neoformans

The putative Cryptococcus neoformans pheromone receptor gene CPRα was isolated and studied for its role in mating and filamentation. CPRα is MATα specific and located adjacent to STE12α at the MATα locus. It encodes a protein which possesses high sequence similarity to the seven-transmembrane class of G-protein-coupled pheromone receptors reported for other basidiomycetous fungi. Strains containing a deletion of the CPRα gene exhibited drastic reductions in mating efficiency but were not completely sterile. Δcprα cells displayed wild-type mating efficiency when reconstituted with the wild-type CPRα gene. Hyphal production on filament agar was not affected in the Δcprα strain, indicating no significant role for CPRα in sensing environmental cues during haploid fruiting. The wild-type MATα CPRα strain produced abundant hyphae in response to synthetic MATa pheromone; however, the hyphal response to pheromone by Δcprα cells was significantly reduced. Exposure of wild-type cells to synthetic MATa pheromone for 2 h induced MFα pheromone expression, whereas unexposed cells showed only basal levels of the MFα transcript. The Δcprα cells, however, exhibited only basal levels of MFα message with or without pheromone exposure, suggesting that CPRα and MFα are components of the same signaling pathway