The Democratic Peace Unraveled: It’s the Economy

Recent research indicates that the democratic peace—the observation that democratic nations rarely fight each other—is spurious: that advanced capitalism accounts for both democracy and the democratic peace (Mousseau 2009). This is not a trivial prospect: if economic conditions explain the democratic peace, then a great deal of research on governing institutions and foreign policy is probably obsolete. This study addresses all the recent defenses of the democratic peace and reports new results using a new measure that directly gauges the causal mechanism of contract flows dependent on third-party enforcement. Analyses of most nations from 1961 to 2001 show contract-intensive "impersonal" economy to be the second most powerful variable in international conflict—following only contiguity—and, once considered, there is no evidence of causation from democracy to peace. It is impersonal economy, not democracy or unfettered markets, which appears to explain the democratic peace..

Urban Poverty and Support for Islamist Terror: Survey Results of Muslims in Fourteen Countries

Survey respondents in fourteen countries representing 62% of the world’s Muslim population indicate that approval of Islamist terror is not associated with religiosity, lack of education, poverty, or income dissatisfaction. Instead, it is associated with urban poverty. These results are consistent with the thesis that Islamist terrorists obtain support and recruits from the urban poor, who pursue their economic interests off the market in politics in collective groups. These groups compete over state rents, so a gain for one group is a loss for another, making terrorism of members of out-groups rational. The rise of militant Islam can be attributed to high rates of urbanization in many Muslim countries in recent decades, which fosters violence as rising groups seek to dislodge prior groups entrenched in power. Rising group leaders also compete over new urban followers, so they promote fears of out-groups and package in-group identities in ways that ring true for the urban poor. Because many of the urban poor are migrants from the countryside, popular packages are those which identify with traditional rural values and distinguish enemies as those associated with urban modernity and the secular groups already in power. Imams have an incentive to preach want audiences want to hear, so a mutated in-group version of Islam—Islamism—struck a chord in several large cities around the globe at the same time. With globalization of the media, in many developing countries the West is widely (albeit wrongly) perceived as an inimical out-group associated with urban modernity. The best political strategy to limit support and recruits for Islamist terrorist groups is to enhance the economic opportunities available for the urban poor, and to provide them the needed services, such as access to health care and education, that many currently obtain from Islamist groups.

Accuracy and Efficiency of a Coupled Neutronics and Thermal Hydraulics Model

The accuracy requirements for modern nuclear reactor simulation are steadily increasing due to the cost and regulation of relevant experimental facilities. Because of the increase in the cost of experiments and the decrease in the cost of simulation, simulation will play a much larger role in the design and licensing of new nuclear reactors. Fortunately as the work load of simulation increases, there are better physics models, new numerical techniques, and more powerful computer hardware that will enable modern simulation codes to handle the larger workload. This manuscript will discuss a numerical method where the six equations of two-phase flow, the solid conduction equations, and the two equations that describe neutron diffusion and precursor concentration are solved together in a tightly coupled, nonlinear fashion for a simplified model of a nuclear reactor core. This approach has two important advantages. The first advantage is a higher level of accuracy. Because the equations are solved together in a single nonlinear system, the solution is more accurate than the traditional “operator split” approach where the two-phase flow equations are solved first, the heat conduction is solved second and the neutron diffusion is solved third, limiting the temporal accuracy to 1st order because the nonlinear coupling between the physics is handled explicitly. The second advantage of the method described in this manuscript is that the time step control in the fully implicit system can be based on the timescale of the solution rather than a stability-based time step restriction like the material Courant. Results are presented from a simulated control rod movement and a rod ejection that address temporal accuracy for the fully coupled solution and demonstrate how the fastest timescale of the problem can change between the state variables of neutronics, conduction and two-phase flow during the course of a transient

Prognostic Impact of Paraneoplastic Cushing’s Syndrome in Small-Cell Lung Cancer

Introduction:Paraneoplastic Cushing’s syndrome (CushingPS) in small-cell lung cancer is rare but severe.Methods:We studied 383 patients with small-cell lung cancer diagnosed between 1998 and 2012. Among them, 23 patients had CushingPS, 56 had other paraneoplastic syndrome (OtherPS), and 304 had no paraneoplastic syndrome (NoPS).Results:After comparison of the three groups, we observed that CushingPS patients had more extensive disease: 82.6% versus 67.8% versus 53.3% (p = 0.005), respectively, with more than two metastatic sites: 63.2% versus 15.8% and 24.1% (p ⩽ 0.001), a higher World Health Organization performance status (2–4): 73.9% versus 57.1% versus 43.7% (p = 0.006), greater weight loss (≥10%): 47.8% versus 33.9% versus 16.4% (p ⩽ 0.001), reduced objective response to first-line treatment: 47.6% versus 74.1% versus 71.1% (p = 0.04), and poorer sensitivity to first-line treatment: 19% versus 38.9% versus 48.6% (p = 0.01). NoPS patients, with World Health Organization performance status of 3–4, had extensive disease at diagnosis, with response, sensitivity to first-line treatment, and survival similar to the CushingPS group. At relapse, the CushingPS group had no objective response to second-line treatment versus 25% versus 42.8% in OtherPS and NoPS groups, respectively (p = 0.005). The median survival of CushingPS patients was 6.6 months versus 9.2 months for OtherPS and 13.1 months for NoPS patients (p ⩽ 0.001). CushingPS is a prognostic factor of death (hazard ratio, 2.31; p ⩽ 0.001).Conclusion:CushingPS is the worst form of the paraneoplastic syndromes with particularly extensive tumors. Reduced objective response and sensitivity to first-line treatment and no response to second-line treatment suggest starting palliative care early at first line and exclusively at relapse

The relationship between negative life events and cortical structural connectivity in adolescents

Adolescence is a crucial period for physical and psychological development. The impact of negative life events represents a risk factor for the onset of neuropsychiatric disorders. This study aims to investigate the relationship between negative life events and structural brain connectivity, considering both graph theory and connectivity strength. A group (n = 487) of adolescents from the IMAGEN Consortium was divided into Low and High Stress groups. Brain networks were extracted at an individual level, based on morphological similarity between grey matter regions with regions defined using an atlas-based region of interest (ROI) approach. Between-group comparisons were performed with global and local graph theory measures in a range of sparsity levels. The analysis was also performed in a larger sample of adolescents (n = 976) to examine linear correlations between stress level and network measures. Connectivity strength differences were investigated with network-based statistics. Negative life events were not found to be a factor influencing global network measures at any sparsity level. At local network level, between-group differences were found in centrality measures of the left somato-motor network (a decrease of betweenness centrality was seen at sparsity 5%), of the bilateral central visual and the left dorsal attention network (increase of degree at sparsity 10% at sparsity 30% respectively). Network-based statistics analysis showed an increase in connectivity strength in the High stress group in edges connecting the dorsal attention, limbic and salience networks. This study suggests negative life events alone do not alter structural connectivity globally, but they are associated to connectivity properties in areas involved in emotion and attention.</p

Jasmonic acid-dependent regulation of seed dormancy following maternal herbivory in Arabidopsis

Maternal experience of abiotic environmental factors such as temperature and light are well known to control seed dormancy in many plant species. Maternal biotic stress alters offspring defence phenotypes, but whether it also affects seed dormancy remains unexplored. We exposed Arabidopsis thaliana plants to herbivory and investigated plasticity in germination and defence phenotypes in their offspring, along with the roles of phytohormone signalling in regulating maternal effects. Maternal herbivory resulted in the accumulation of jasmonic acid-isoleucine and loss of dormancy in seeds of stressed plants. Dormancy was also reduced by engineering seed-specific accumulation of jasmonic acid in transgenic plants. Loss of dormancy was dependent on an intact jasmonate signalling pathway and was associated with increased gibberellin content and reduced abscisic acid sensitivity during germination. Altered dormancy was only observed in the first generation following herbivory, whereas defence priming was maintained for at least two generations. Herbivory generates a jasmonic acid-dependent reduction in seed dormancy, mediated by alteration of gibberellin and abscisic acid signalling. This is a direct maternal effect, operating independently from transgenerational herbivore resistance priming

Gαq-containing G proteins regulate B cell selection and survival and are required to prevent B cell–dependent autoimmunity

Survival of mature B cells is regulated by B cell receptor and BAFFR-dependent signals. We show that B cells from mice lacking the Gαq subunit of trimeric G proteins (Gnaq−/− mice) have an intrinsic survival advantage over normal B cells, even in the absence of BAFF. Gnaq−/− B cells develop normally in the bone marrow but inappropriately survive peripheral tolerance checkpoints, leading to the accumulation of transitional, marginal zone, and follicular B cells, many of which are autoreactive. Gnaq−/− chimeric mice rapidly develop arthritis as well as other manifestations of systemic autoimmune disease. Importantly, we demonstrate that the development of the autoreactive B cell compartment is the result of an intrinsic defect in Gnaq−/− B cells, resulting in the aberrant activation of the prosurvival factor Akt. Together, these data show for the first time that signaling through trimeric G proteins is critically important for maintaining control of peripheral B cell tolerance induction and repressing autoimmunity

Heritability and Artificial Selection on Ambulatory Dispersal Distance in Tetranychus urticae: Effects of Density and Maternal Effects

Dispersal distance is understudied although the evolution of dispersal distance affects the distribution of genetic diversity through space. Using the two-spotted spider mite, Tetranychus urticae, we tested the conditions under which dispersal distance could evolve. To this aim, we performed artificial selection based on dispersal distance by choosing 40 individuals (out of 150) that settled furthest from the home patch (high dispersal, HDIS) and 40 individuals that remained close to the home patch (low dispersal, LDIS) with three replicates per treatment. We did not observe a response to selection nor a difference between treatments in life-history traits (fecundity, survival, longevity, and sex-ratio) after ten generations of selection. However, we show that heritability for dispersal distance depends on density. Heritability for dispersal distance was low and non-significant when using the same density as the artificial selection experiments while heritability becomes significant at a lower density. Furthermore, we show that maternal effects may have influenced the dispersal behaviour of the mites. Our results suggest primarily that selection did not work because high density and maternal effects induced phenotypic plasticity for dispersal distance. Density and maternal effects may affect the evolution of dispersal distance and should be incorporated into future theoretical and empirical studies