Integrating Interpersonal Neurobiology in Healthcare Leadership and Organizations

Interpersonal Neurobiology (IPNB) is an interdisciplinary, science-based field that seeks to understand human reality including the nature of mind, brain, and relationships. IPNB has been used extensively by mental health practitioners as well as child development and parenting experts. While practitioners and scholars have described ways that IPNB can be used in leadership and organizations, there has been no systematic inquiry into the practical and phenomenological experience of this application. IPNB offers an alternative to dominant models of care and leading in healthcare settings and fields, which are characterized by disconnection, objectification, and separation. It offers a relationally centered approach that honors people’s subjective experience and seeks to advance whole-person and whole-system wellness through the promotion of integration. As a living and dynamic systems approach, IPNB has the potential to influence the quality of leaders’ presence, perception, and practice while upholding the interconnectedness within and between the functional elements of organizational structures and processes. This narrative inquiry sought to explore how leader and leader consultants approach their work from an IPNB perspective. It centers around two research questions: How, if at all, have healthcare leaders integrated IPNB in their leadership practices, and what impact has this integration had on their development and identity? Secondly, what, if any, implications might their experiences hold for leadership in health and mental health organizations? Using the Listening Guide (LG; Gilligan, Spencer, et al., 2006) methodology this inquiry explores the experiences of twelve leaders and leadership consultants in order to understand the implications IPNB has had for their practices, development, and identity. It takes a broad and deeply phenomenological dive into each person’s IPNB leadership experience across time, space, and place to understand the implications this framework has had for leading and organizations. This inquiry identifies what themes and IPNB principles have been significant to the participants, the counterpoints that have propelled their development forward, and the multiple and relationally positioned identities that signify leader’s relational embeddedness in the organizations and systems they serve. This dissertation is available in open access at AURA (https://aura.antioch.edu) and OhioLINK ETD Center (https://etd.ohiolink.edu)

A review on anisotropy analysis of spatial point patterns

A spatial point pattern is called anisotropic if its spatial structure depends on direction. Several methods for anisotropy analysis have been introduced in the literature. In this paper, we give an overview of nonparametric methods for anisotropy analysis of (stationary) point patterns in $\mathbf{R}^2$ and $\mathbf{R}^3$. We discuss methods based on nearest neighbour and second order summary statistics as well as spectral and wavelet analysis. All techniques are illustrated on both a clustered and a regular example. Finally, we discuss methods for testing for isotropy as well as for estimating preferred directions in a point pattern.Comment: Submitted to Spatial Statistics -journal's special issue of the Spatial Statistics 2017 conferenc

An Analytical Representation of the 2d Generalized Balanced Power Diagram

Tessellations are an important tool to model the microstructure of cellular and polycrystalline materials. Classical tessellation models include the Voronoi diagram and Laguerre tessellation whose cells are polyhedra. Due to the convexity of their cells, those models may be too restrictive to describe data that includes possibly anisotropic grains with curved boundaries. Several generalizations exist. The cells of the generalized balanced power diagram are induced by elliptic distances leading to more diverse structures. So far, methods for computing the generalized balanced power diagram are restricted to discretized versions in the form of label images. In this work, we derive an analytic representation of the vertices and edges of the generalized balanced power diagram in 2d. Based on that, we propose a novel algorithm to compute the whole diagram

Mathematical morphology on directional data

We define morphological operators and filters for directional images whose pixel values are unit vectors. This requires an ordering relation for unit vectors which is obtained by using depth functions. They provide a centre-outward ordering with respect to a specified centre vector. We apply our operators on synthetic directional images and compare them with classical morphological operators for grey-scale images. As application examples, we enhance the fault region in a compressed glass foam and segment misaligned fibre regions of glass fibre reinforced polymers.Comment: 19 page

Nb3Sn wire shape and cross sectional area inhomogeneity in Rutherford cables

During Rutherford cable production the wires are plastically deformed and their initially round shape is distorted. Using X-ray absorption tomography we have determined the 3D shape of an unreacted Nb3Sn 11 T dipole Rutherford cable, and of a reacted and impregnated Nb3Sn cable double stack. State-of-the-art image processing was applied to correct for tomographic artefacts caused by the large cable aspect ratio, for the segmentation of the individual wires and subelement bundles inside the wires, and for the calculation of the wire cross sectional area and shape variations. The 11 T dipole cable cross section oscillates by 2% with a frequency of 1.24 mm (1/80 of the transposition pitch length of the 40 wire cable). A comparatively stronger cross sectional area variation is observed in the individual wires at the thin edge of the keystoned cable where the wire aspect ratio is largest.Comment: 6 pages, 11 figures, presented at EUCAS 201

Detecting anisotropy in spatial point patterns - a comparison of statistical indices

Isotropy of a point process, defined as invariance of the distribution\ua0under rotation, is often assumed in spatial statistics. Formal\ua0tests for the hypothesis of isotropy can be created by comparing\ua0directional summary statistics in different directions. In this paper,\ua0the statistical powers of tests based on a variety of summary\ua0statistics and several choices of deviance measures are compared\ua0in a simulation study. Four models for anisotropic point processes\ua0are considered covering both regular and clustered cases.\ua0We discuss the robustness of the results to changes of the tuning\ua0parameters, and highlight the strengths and limitations of the\ua0methods