The need for and compilation of a handbook for beginning music supervisors

Not Available.Charmenz LenhartNot ListedNot ListedMaster of ScienceDepartment Not ListedCunningham Memorial library, Terre Haute, Indiana State University.isua-thesis-1940-lenhart.pdfMastersTitle from document title page. Document formatted into pages: contains 128p. Includes bibliography

Renewable Resources and Regional Governance: Policy Implementation and Negotiation of Authority in Western Electricity Markets

In response to energy policies and technological innovation, electricity systems are becoming more integrated and interdependent. In the Western United States, the creation of an energy imbalance market (EIM) is a significant move towards electricity grid integration. The question of how to govern this newly forming market has been deliberated in multiple decision-making venues. Through these deliberations, stakeholders engaged in the process of policy implementation and shaped the structure of the EIM as a policy intervention. To understand how this initiative unfolded and why this effort succeeded where others failed, this research explores policy implementation as the outcome of the social negotiation of authority. To accomplish this, this research combines policy implementation, boundary work, and field theories and develops an empirical investigation of how actors reconciled multiple and often conflicting authorities to enact policy change. This study asks how actors, using social practices and strategies, created and legitimated sources of authority to establish a governing body for this new market service. This case study relied on qualitative methods, including document review, participant interviews, systematic observation of decision-making in context, detailed observation fieldnotes, and the self-reflexive awareness of the role of the researcher. The dissertation demonstrates that: 1) dominant yet deficient narratives provided a rationale for ongoing resistance to regional governance in the West and prevented collaboration; 2) actors overcame and transformed deficient sources of authority by enacting social strategies that allowed alternative interpretations of the EIM construct and enabled organizations to begin collaboration; 3) actors using social negotiation interpreted and adjusted the EIM policy intervention and co-created emergent forms of authority that are flexible and dynamic; and 4) field interdependencies surfaced taken-for-granted assumptions and provided critical resources for innovative forms of collective action. The implications of these findings highlight the importance of the social negotiation of authority in energy policy implementation. Specifically, the research makes several theoretical and practical contributions: 1) multi-organizational policy implementation is a social process of transforming, negotiating, and co-creating authority, and relational authority can be an important rationale for enacted practices; 2) strategic actors engage in communicative and social processes in which authority is emergent and abstraction enables collective action without requiring consensus; 3) routine field interdependencies can bring attention to taken-for-granted assumptions and create a moment of co-authoring; and 4) regional electricity system governance structures evolve as they balance the inherent tensions of organized market participation

Edge Partitions of Optimal 22-plane and 33-plane Graphs

A topological graph is a graph drawn in the plane. A topological graph is $k$-plane, $k>0$, if each edge is crossed at most $k$ times. We study the problem of partitioning the edges of a $k$-plane graph such that each partite set forms a graph with a simpler structure. While this problem has been studied for $k=1$, we focus on optimal $2$-plane and $3$-plane graphs, which are $2$-plane and $3$-plane graphs with maximum density. We prove the following results. (i) It is not possible to partition the edges of a simple optimal $2$-plane graph into a $1$-plane graph and a forest, while (ii) an edge partition formed by a $1$-plane graph and two plane forests always exists and can be computed in linear time. (iii) We describe efficient algorithms to partition the edges of a simple optimal $2$-plane graph into a $1$-plane graph and a plane graph with maximum vertex degree $12$, or with maximum vertex degree $8$ if the optimal $2$-plane graph is such that its crossing-free edges form a graph with no separating triangles. (iv) We exhibit an infinite family of simple optimal $2$-plane graphs such that in any edge partition composed of a $1$-plane graph and a plane graph, the plane graph has maximum vertex degree at least $6$ and the $1$-plane graph has maximum vertex degree at least $12$. (v) We show that every optimal $3$-plane graph whose crossing-free edges form a biconnected graph can be decomposed, in linear time, into a $2$-plane graph and two plane forests

Solving inverse problems of identification type by optimal control methods

Inverse problems of identification type for nonlinear equations are considered within the framework of optimal control theory. The rigorous solution of any particular problem depends on the functional setting, type of equation, and unknown quantity (or quantities) to be determined. Here the authors present only the general articulations of the formalism. Compared to classical regularization methods (e.g. Tikhonov coupled with optimization schemes), their approach presents several advantages, namely: (i) a systematic procedure to solve inverse problems of identification type; (ii) an explicit expression for the approximations of the solution; and (iii) a convenient numerical solution of these approximations

Optimal control strategies for tuberculosis treatment: a case study in Angola

We apply optimal control theory to a tuberculosis model given by a system of ordinary differential equations. Optimal control strategies are proposed to minimize the cost of interventions. Numerical simulations are given using data from Angola.Comment: This is a preprint of a paper whose final and definite form will appear in the international journal Numerical Algebra, Control and Optimization (NACO). Paper accepted for publication 15-March-201

Optimal control measures for a susceptible-carrier-infectious-recovered-susceptible malware propagation model

Purposing to lessen malware propagation, this paper proposes optimal control measures for a susceptible-carrier-infectious-recovered-susceptible (SCIRS) epidemiological model formed by a system of ordinary differential equations. By taking advantage of real-world data related to the number of reported cybercrimes in Japan from 2012 to 2017, an optimal control problem is formulated to minimize the number of infected devices in a cost-effective way. The existence and uniqueness of the results related to the optimality system are proved. Overall, numerical simulations show the usefulness of the proposed control strategies in reducing the spread of malware infections.- Fundação para a Ciência e Tecnologia, Grant/Award Number: UID/MAT/04106/2019 and UID/CEC/00319/201

Optimization and Control of Agent-Based Models in Biology: A Perspective

Agent-based models (ABMs) have become an increasingly important mode of inquiry for the life sciences. They are particularly valuable for systems that are not understood well enough to build an equation-based model. These advantages, however, are counterbalanced by the difficulty of analyzing and using ABMs, due to the lack of the type of mathematical tools available for more traditional models, which leaves simulation as the primary approach. As models become large, simulation becomes challenging. This paper proposes a novel approach to two mathematical aspects of ABMs, optimization and control, and it presents a few first steps outlining how one might carry out this approach. Rather than viewing the ABM as a model, it is to be viewed as a surrogate for the actual system. For a given optimization or control problem (which may change over time), the surrogate system is modeled instead, using data from the ABM and a modeling framework for which ready-made mathematical tools exist, such as differential equations, or for which control strategies can explored more easily. Once the optimization problem is solved for the model of the surrogate, it is then lifted to the surrogate and tested. The final step is to lift the optimization solution from the surrogate system to the actual system. This program is illustrated with published work, using two relatively simple ABMs as a demonstration, Sugarscape and a consumer-resource ABM. Specific techniques discussed include dimension reduction and approximation of an ABM by difference equations as well systems of PDEs, related to certain specific control objectives. This demonstration illustrates the very challenging mathematical problems that need to be solved before this approach can be realistically applied to complex and large ABMs, current and future. The paper outlines a research program to address them