Numerical precision radiative corrections to the Dalitz plot of baryon semileptonic decays including the spin-momentum correlation of the decaying and emitted baryons

We calculate the radiative corrections to the angular correlation between the polarization of the decaying and the direction of the emitted spin one-half baryons in the semileptonic decay mode. The final results are presented, first, with the triple integration of the bremsstrahlung photon ready to be performed numerically and, second, in an analytical form. A third presentation of our results in the form of numerical arrays of coefficients to be multiplied by the quadratic products of form factors is discussed. This latter may be the most practical one to use in Monte Carlo simulations. A series of crosschecks is performed. Previous results to order (alpha/pi)(q/M_1) for the decays of unpolarized baryons are reviewed, too, where q is the momentum transfer and M_1 is the mass of the decaying baryon. This paper is self-contained and organized to make it accessible and reliable in the analysis of the Dalitz plot of precision experiments involving heavy quarks and is not compromised to fixing the form factors at predetermined values. It is assumed that the real photons are kinematically discriminated. Otherwise, our results have a general model-independent applicability.Comment: 34 pages, 4 tables, no figures. Some sections have been shortened. Conclusions remain unchange

Generalizing Boolean Satisfiability I: Background and Survey of Existing Work

This is the first of three planned papers describing ZAP, a satisfiability engine that substantially generalizes existing tools while retaining the performance characteristics of modern high-performance solvers. The fundamental idea underlying ZAP is that many problems passed to such engines contain rich internal structure that is obscured by the Boolean representation used; our goal is to define a representation in which this structure is apparent and can easily be exploited to improve computational performance. This paper is a survey of the work underlying ZAP, and discusses previous attempts to improve the performance of the Davis-Putnam-Logemann-Loveland algorithm by exploiting the structure of the problem being solved. We examine existing ideas including extensions of the Boolean language to allow cardinality constraints, pseudo-Boolean representations, symmetry, and a limited form of quantification. While this paper is intended as a survey, our research results are contained in the two subsequent articles, with the theoretical structure of ZAP described in the second paper in this series, and ZAP's implementation described in the third

Generalizing Boolean Satisfiability II: Theory

This is the second of three planned papers describing ZAP, a satisfiability engine that substantially generalizes existing tools while retaining the performance characteristics of modern high performance solvers. The fundamental idea underlying ZAP is that many problems passed to such engines contain rich internal structure that is obscured by the Boolean representation used; our goal is to define a representation in which this structure is apparent and can easily be exploited to improve computational performance. This paper presents the theoretical basis for the ideas underlying ZAP, arguing that existing ideas in this area exploit a single, recurring structure in that multiple database axioms can be obtained by operating on a single axiom using a subgroup of the group of permutations on the literals in the problem. We argue that the group structure precisely captures the general structure at which earlier approaches hinted, and give numerous examples of its use. We go on to extend the Davis-Putnam-Logemann-Loveland inference procedure to this broader setting, and show that earlier computational improvements are either subsumed or left intact by the new method. The third paper in this series discusses ZAPs implementation and presents experimental performance results

Dynamic Backtracking

Because of their occasional need to return to shallow points in a search tree, existing backtracking methods can sometimes erase meaningful progress toward solving a search problem. In this paper, we present a method by which backtrack points can be moved deeper in the search space, thereby avoiding this difficulty. The technique developed is a variant of dependency-directed backtracking that uses only polynomial space while still providing useful control information and retaining the completeness guarantees provided by earlier approaches.Comment: See http://www.jair.org/ for an online appendix and other files accompanying this articl

FDA Approved? A Critique of the Artificial Insemination Industry in the United States

Artificial insemination by donor is becoming an increasingly popular means to achieving parenthood. While the majority of couples use artificial insemination to overcome fertility problems, many recipients use artificial insemination to avoid passing a genetic disease to their children. However, case studies reveal the inherent dangers of artificial insemination, namely the lack of proper screening methods to avoid passing genetic diseases to children born by artificial insemination. State-by-state regulation, federal guidelines, and private adjudication have all proven to be inadequate methods of regulating the artificial insemination industry. Ginsberg proposes federal regulation as the only means of achieving a safe artificial insemination industry. The proposed federal regulation would include better genetic screening, a more efficient national sperm donor system, and limited disclosure to recipients of artificial insemination and their children. These measures would help to ensure that couples using artificial insemination get what they expect-healthy sperm, a safe artificial insemination process, and ultimately, a healthy child

GIB: Imperfect Information in a Computationally Challenging Game

This paper investigates the problems arising in the construction of a program to play the game of contract bridge. These problems include both the difficulty of solving the game's perfect information variant, and techniques needed to address the fact that bridge is not, in fact, a perfect information game. GIB, the program being described, involves five separate technical advances: partition search, the practical application of Monte Carlo techniques to realistic problems, a focus on achievable sets to solve problems inherent in the Monte Carlo approach, an extension of alpha-beta pruning from total orders to arbitrary distributive lattices, and the use of squeaky wheel optimization to find approximately optimal solutions to cardplay problems. GIB is currently believed to be of approximately expert caliber, and is currently the strongest computer bridge program in the world

A SOTL Conversation in the Classroom

Sarah Ginsberg\u27s contribution to this volume explores critical lessons that Sarah learned while teaching using a hybrid model in an introductory special education class. Sarah began the project with an interest in how students perceive hybrid teaching models (part in-class and part online). Given significant movement within the academy toward online and hybrid models, Sarah\u27s insights into how students view this type of learning are important for all of us to examine. Students may not have embraced this model of education as much as they are purported to have done; they identify many of the same challenges (including lack of personal connection) that faculty members do. What stands out in this chapter is the discussion Sarah engaged in with her students about reflection. As future teachers, Sarah\u27s students no doubt benefited from her example of how teachers need to pay attention to what is happening in their classes, making mid-course corrections as needed. In actively reflecting on issues of big picture versus little picture learning with her students, Sarah brought students into the teaching and learning conversation

Increasing African American Student Success in Speech-Language Pathology Programs

At this time just under 8% of the speech-language pathologists in the United States identify themselves as minorities (ASHA, 2016a) despite the efforts of the American Speech-Language-Hearing Association to increase diversity. African Americans are poorly represented in the field at 3% of the membership (ASHA, 2016a). In order to identify potential mechanisms for increasing the diversity of the field, 11 African American Speech-Language Pathologists were asked to provide recommendations for improving African American student retention in speech-language pathology undergraduate and graduate educational programs. Participants offered recommendations for how to increase the success rate of African American students in speech-language pathology programs, including providing culturally competent and caring mentorship, co-mentoring opportunities in educational programs, and connections to critical resources

Generalizing Boolean Satisfiability III: Implementation

This is the third of three papers describing ZAP, a satisfiability engine that substantially generalizes existing tools while retaining the performance characteristics of modern high-performance solvers. The fundamental idea underlying ZAP is that many problems passed to such engines contain rich internal structure that is obscured by the Boolean representation used; our goal has been to define a representation in which this structure is apparent and can be exploited to improve computational performance. The first paper surveyed existing work that (knowingly or not) exploited problem structure to improve the performance of satisfiability engines, and the second paper showed that this structure could be understood in terms of groups of permutations acting on individual clauses in any particular Boolean theory. We conclude the series by discussing the techniques needed to implement our ideas, and by reporting on their performance on a variety of problem instances