A linearized approach to chemically generated waves in a dilute, isothermal atmosphere

Characteristics of chemically generated waves in dilute, isothermal atmosphere and numerical analysis of chemical reactions involve

A linearized solution to impulsive latent heat release in a dilute, isothermal atmosphere

One dimensional model for analytical solution to problem of impulsive heat release by chemically generated waves in dilute, isothermal atmospher

Interdependent networks with correlated degrees of mutually dependent nodes

We study a problem of failure of two interdependent networks in the case of correlated degrees of mutually dependent nodes. We assume that both networks (A and B) have the same number of nodes $N$ connected by the bidirectional dependency links establishing a one-to-one correspondence between the nodes of the two networks in a such a way that the mutually dependent nodes have the same number of connectivity links, i.e. their degrees coincide. This implies that both networks have the same degree distribution $P(k)$. We call such networks correspondently coupled networks (CCN). We assume that the nodes in each network are randomly connected. We define the mutually connected clusters and the mutual giant component as in earlier works on randomly coupled interdependent networks and assume that only the nodes which belong to the mutual giant component remain functional. We assume that initially a $1-p$ fraction of nodes are randomly removed due to an attack or failure and find analytically, for an arbitrary $P(k)$, the fraction of nodes $\mu(p)$ which belong to the mutual giant component. We find that the system undergoes a percolation transition at certain fraction $p=p_c$ which is always smaller than the $p_c$ for randomly coupled networks with the same $P(k)$. We also find that the system undergoes a first order transition at $p_c>0$ if $P(k)$ has a finite second moment. For the case of scale free networks with $2<\lambda \leq 3$, the transition becomes a second order transition. Moreover, if $\lambda<3$ we find $p_c=0$ as in percolation of a single network. For $\lambda=3$ we find an exact analytical expression for $p_c>0$. Finally, we find that the robustness of CCN increases with the broadness of their degree distribution.Comment: 18 pages, 3 figure

Inter-similarity between coupled networks

Recent studies have shown that a system composed from several randomly interdependent networks is extremely vulnerable to random failure. However, real interdependent networks are usually not randomly interdependent, rather a pair of dependent nodes are coupled according to some regularity which we coin inter-similarity. For example, we study a system composed from an interdependent world wide port network and a world wide airport network and show that well connected ports tend to couple with well connected airports. We introduce two quantities for measuring the level of inter-similarity between networks (i) Inter degree-degree correlation (IDDC) (ii) Inter-clustering coefficient (ICC). We then show both by simulation models and by analyzing the port-airport system that as the networks become more inter-similar the system becomes significantly more robust to random failure.Comment: 4 pages, 3 figure

MARIA M4:clinical evaluation of a prototype ultrawideband radar scanner for breast cancer detection

A microwave imaging system has been developed as a clinical diagnostic tool operating in the 3- to 8-GHz region using multistatic data collection. A total of 86 patients recruited from a symptomatic breast care clinic were scanned with a prototype design. The resultant three-dimensional images have been compared “blind” with available ultrasound and mammogram images to determine the detection rate. Images show the location of the strongest signal, and this corresponded in both older and younger women, with sensitivity of [Formula: see text] , which was found to be maintained in dense breasts. The pathway from clinical prototype to clinical evaluation is outlined

A Qualitative Study on the Perceived Value of Emotional Intelligence Training on Foster Parents

The experiences of a child in the foster care system rely heavily on the preparedness ofthe foster parent. For decades, researchers and practitioners have written about the challenges that foster children face while in the foster care system and discussed ways to assist them. This research discusses another way to improve the preparedness of a foster child as they go through the foster care system—improving the parenting skills of the foster parent using emotional intelligence. The entirety of this study is the analysis and study of this specific research question, “What perceived impact can emotional intelligence training (IV) have on how licensed foster parents treat children in their homes (DV)?” The researcher’s hypothesis was “If states offered emotional intelligence training for foster parents, then their parenting skills would improve.” After using surveys to question foster parents in North and South Carolina, the research concluded that foster parents strongly believed they would greatly benefit from incorporating a comprehensive emotional intelligence training program into the training regimen. The researcher concludes the study by developing a shell emotional intelligence training program aimed to maximize the potential of each foster parent as they care for children in their home

Systematic review of the association between isolated musculoskeletal hypermobility and adolescent idiopathic scoliosis

Abstract Introduction Adolescent idiopathic scoliosis (AIS) affects 1–3% of the population, but its pathogenesis remains unclear. The coexistence of musculoskeletal hypermobility and scoliosis in many inherited syndromes raises the possibility that isolated musculoskeletal hypermobility may contribute to AIS development or progression. Methods We performed a systematic review of the evidence for a relationship between isolated musculoskeletal hypermobility and AIS. A meta-analysis was planned, but if not possible, a narrative evidence synthesis was planned. Results Nineteen studies met eligibility criteria for inclusion. One study was excluded due to insufficient quality. Substantial heterogeneity in study design and methodology negated meta-analysis, so a narrative review was performed. Of the 18 studies included, seven suggested a positive association and eight found no association. Three reported the prevalence of musculoskeletal hypermobility in individuals with AIS. Overall, there was no convincing population-based evidence for an association between musculoskeletal hypermobility and AIS, with only two case–control studies by the same authors presenting compelling evidence for an association. Although populations at extremes of hypermobility had a high prevalence of spinal curvature, these studies were at high risk of confounding. Wide variation in methods of measuring musculoskeletal hypermobility and the challenge of assessing AIS in population-based studies hinder study comparison. Conclusions There is a paucity of high-quality evidence examining the association between isolated musculoskeletal hypermobility and AIS. Large-scale prospective studies with adequate adjustment for potential confounding factors could clarify the relationship between musculoskeletal hypermobility and AIS to elucidate its role in the pathogenesis of AIS. </jats:sec