BRIDGING SYMTPOMS IN PTSD AND SUICIDAL IDEATION: DISENTANGLING DYSFUNCTIONAL COGNITIONS AND EMOTIONS IN THE PTSD SYMPTOMS D2, D3, AND D4

BRIDGING SYMTPOMS IN PTSD AND SUICIDAL IDEATION: DISENTANGLING DYSFUNCTIONAL COGNITIONS AND EMOTIONS IN THE PTSD SYMPTOMS D2, D3, AND D

Information Complexity in Material Culture

Humans invest a substantial amount of time in the creation of artworks. For generations, humans around the world have learned and shared their knowledge and skills on artistic traditions. Albeit large experimental settings or online databases have brought considerable insights on the evolutionary role and trajectory of art, why humans invest in art, what information artworks carry and how art functions within the community still remain elusive. To address these unresolved questions, this present thesis integrates ethnographic accounts with data governance and statistical approaches to systematically investigate a large corpus of art. This thesis specifically focuses on a large corpus of Tamil kolam art from South India to provide an exemplary case study of artistic traditions. The foundation for the projects presented in this thesis was the design and construction of a robust data infrastructure that enabled the synthesis of raw data from various sources into one database for systematic analyses. The data infrastructure on the kolam artistic system enabled the development of complex statistical methods to explore the substantial investments and information complexity in art. In the first chapter, I examine artists’ strategic decisions in the creation of kolam art and how they strive to optimize the complexity of their artworks under constraints using evolutionary signaling theory and theoretically guided statistical methods. Results revealed that artists strive to maintain a stable and invariant complexity measured as Shannon information entropy, regardless of the size of the artwork. In order to achieve an optimal artistic complexity “sweet spot”, artists trade-off two standard measures of biological diversity in ecology: evenness and richness. Additionally, results showed that although kolam art arises in a highly stratified and multi-ethnic society, artistic complexity is strategically optimized across the population and not constrained by group boundaries. Instead, the trade-off can most likely be explained by aesthetic preferences or cognitive limitations. While artistic complexity in kolam art can be strategically optimized across the population, distinct styles and patterns can still be employed by artists. Thus, in the second chapter, I focus on how artistic styles in kolam art covary along cultural boundaries. I employ a novel statistical method to measure the mapping between styles onto group boundaries on a large corpus of kolam art by decomposing the system into sequential drawing decisions. In line with Chapter 1, results demonstrate limited group-level variation. Distinct styles or patterns in kolam art can only be weakly mapped to caste boundaries, neighborhoods or previous migration. Both chapters strongly suggest that kolam art is primarily a sphere where artists differentiate themselves from others by displaying their unique skill set and knowledge. Thus, variability in kolam art is largely dominated by individual-level variation and not reflective of group boundaries or narrow socialization channels. This thesis contributes to an emergent understanding of how artists conceptualize what they are doing and how art functions within the community. Taken together, this thesis serves as an example approach that demonstrates an optimized workflow and novel approaches for the evolutionary study of a large corpus of artistic traditions

Disentangling Social-Genetic From Rearing-Environment Effects for Alcohol Use Disorder Using Swedish National Data

The presentation introduces Dr. Jessica Salvatore and colleagues’ work, Disentangling Social-Genetic From Rearing-Environment Effects for Alcohol Use Disorder Using Swedish National Data, on the social-genetic effects of having a spouse whose parent(s) is/are affected by alcohol use disorder (AUD). After collecting personal data of over 300,000 Swedish opposite-sex couples, the study used actor-partner interdependence model and logistic regression model to examine the association between a spouse’s AUD predisposition and the proband’s risk of developing AUD. The results showed that the proband is at a high risk of developing AUD upon marrying an AUD-predisposed spouse. The authors concluded that this relationship showed greater evidence of being caused by rearing-environment effects than social-genetic effects. The audience argued that the results could not be generalized to the couples in the United States due to the differences in demographics between the two countries. Therefore, a similar study must be performed on the United States population to draw reliable conclusions about its couples

Optimal Pricing Effect on Equilibrium Behaviors of Delay-Sensitive Users in Cognitive Radio Networks

This paper studies price-based spectrum access control in cognitive radio networks, which characterizes network operators' service provisions to delay-sensitive secondary users (SUs) via pricing strategies. Based on the two paradigms of shared-use and exclusive-use dynamic spectrum access (DSA), we examine three network scenarios corresponding to three types of secondary markets. In the first monopoly market with one operator using opportunistic shared-use DSA, we study the operator's pricing effect on the equilibrium behaviors of self-optimizing SUs in a queueing system. %This queue represents the congestion of the multiple SUs sharing the operator's single \ON-\OFF channel that models the primary users (PUs) traffic. We provide a queueing delay analysis with the general distributions of the SU service time and PU traffic using the renewal theory. In terms of SUs, we show that there exists a unique Nash equilibrium in a non-cooperative game where SUs are players employing individual optimal strategies. We also provide a sufficient condition and iterative algorithms for equilibrium convergence. In terms of operators, two pricing mechanisms are proposed with different goals: revenue maximization and social welfare maximization. In the second monopoly market, an operator exploiting exclusive-use DSA has many channels that will be allocated separately to each entering SU. We also analyze the pricing effect on the equilibrium behaviors of the SUs and the revenue-optimal and socially-optimal pricing strategies of the operator in this market. In the third duopoly market, we study a price competition between two operators employing shared-use and exclusive-use DSA, respectively, as a two-stage Stackelberg game. Using a backward induction method, we show that there exists a unique equilibrium for this game and investigate the equilibrium convergence.Comment: 30 pages, one column, double spac

Reduced mechanical efficiency in left-ventricular trabeculae of the spontaneously hypertensive rat.

Long-term systemic arterial hypertension, and its associated compensatory response of left-ventricular hypertrophy, is fatal. This disease leads to cardiac failure and culminates in death. The spontaneously hypertensive rat (SHR) is an excellent animal model for studying this pathology, suffering from ventricular failure beginning at about 18 months of age. In this study, we isolated left-ventricular trabeculae from SHR-F hearts and contrasted their mechanoenergetic performance with those from nonfailing SHR (SHR-NF) and normotensive Wistar rats. Our results show that, whereas the performance of the SHR-F differed little from that of the SHR-NF, both SHR groups performed less stress-length work than that of Wistar trabeculae. Their lower work output arose from reduced ability to produce sufficient force and shortening. Neither their heat production nor their enthalpy output (the sum of work and heat), particularly the energy cost of Ca(2+) cycling, differed from that of the Wistar controls. Consequently, mechanical efficiency (the ratio of work to change of enthalpy) of both SHR groups was lower than that of the Wistar trabeculae. Our data suggest that in hypertension-induced left-ventricular hypertrophy, the mechanical performance of the tissue is compromised such that myocardial efficiency is reduced

Numerical Verification of Affine Systems with up to a Billion Dimensions

Affine systems reachability is the basis of many verification methods. With further computation, methods exist to reason about richer models with inputs, nonlinear differential equations, and hybrid dynamics. As such, the scalability of affine systems verification is a prerequisite to scalable analysis for more complex systems. In this paper, we improve the scalability of affine systems verification, in terms of the number of dimensions (variables) in the system. The reachable states of affine systems can be written in terms of the matrix exponential, and safety checking can be performed at specific time steps with linear programming. Unfortunately, for large systems with many state variables, this direct approach requires an intractable amount of memory while using an intractable amount of computation time. We overcome these challenges by combining several methods that leverage common problem structure. Memory is reduced by exploiting initial states that are not full-dimensional and safety properties (outputs) over a few linear projections of the state variables. Computation time is saved by using numerical simulations to compute only projections of the matrix exponential relevant for the verification problem. Since large systems often have sparse dynamics, we use Krylov-subspace simulation approaches based on the Arnoldi or Lanczos iterations. Our method produces accurate counter-examples when properties are violated and, in the extreme case with sufficient problem structure, can analyze a system with one billion real-valued state variables