No abstract

This paper argues that the gap between the theoretical utility and the practical utility of the resource-based view (RBV) may be narrowed by operationalizing the theory more consistently with Penrose's original framework. The operationalization proposed here is a twofold approach. First, the RBV may be enhanced by the explicit recognition of Penrose's two classes of resources, namely, administrative resources and productive resources. This distinction suggests a focus on the administrative decisions of managers that lead to economic performance. Second, we argue that the RBV is a theory about extraordinary performers or outliers-not averages. Therefore, the statistical methods used in applying the theory must account for individual firm differences, and not be based on means, which statistically neutralize firm differences. We propose a novel Bayesian hierarchical methodology to examine the relationship between administrative decisions and economic performance over time. We develop and explain a measure of competitive advantage that goes beyond comparisons of economic performance. This Bayesian methodology allows us to make meaningful probability statements about specific, individual firms and the effects of the administrative decisions examined in this study.

As a sharp feature in the sky, the ribbon of enhanced energetic neutral atom (ENA) flux observed by the Interstellar Boundary Explorer (IBEX) mission is a key signature for understanding the interaction of the heliosphere and the interstellar medium through which we are moving. Over five nominal IBEX energy passbands (0.7, 1.1, 1.7, 2.7, and 4.3 keV), the ribbon is extraordinarily circular, with a peak location centered at ecliptic (λ RC , β RC ) = (219.• 2 ± 1.• 3, 39.• 9 ± 2.• 3) and a half cone angle of φ C = 74.• 5 ± 2.• 0. A slight elongation of the ribbon, generally perpendicular to the ribbon center-heliospheric nose vector and with eccentricity ∼0.3, is observed over all energies. At 4.3 keV, the ribbon is slightly larger and displaced relative to lower energies. For all ENA energies, a slice of the ribbon flux peak perpendicular to the circular arc is asymmetric and systematically skewed toward the ribbon center. We derive a spatial coherence parameter δ C 0.014 that characterizes the spatial uniformity of the ribbon over its extent in the sky and is a key constraint for understanding the underlying processes and structure governing the ribbon ENA emission.

Long-standing challenges in cluster expansion (CE) construction include choosing how to truncate the expansion and which crystal structures to use for training. Compressive sensing (CS), which is emerging as a powerful tool for model construction in physics, provides a mathematically rigorous framework for addressing these challenges. A recently-developed Bayesian implementation of CS (BCS) provides a parameterless framework, a vast speed up over current CE construction techniques, and error estimates on model coefficients. Here, we demonstrate the use of BCS to build cluster expansion models for several binary alloy systems. The speed of the method and the accuracy of the resulting fits are shown to be far superior than state-of-the-art evolutionary methods for all alloy systems shown. When combined with high throughput first-principles frameworks, the implications of BCS are that hundreds of lattice models can be automatically constructed, paving the way to high throughput thermodynamic modeling of alloys

Objective Telephone-based cognitive assessment (TBCA) has long been studied but less widely adopted in routine neuropsychological practice. Increased interest in remote neuropsychological assessment techniques in the face of the coronavirus 2019 (COVID-19) pandemic warrants an updated review of relevant remote assessment literature. While recent reviews of videoconference-based neuropsychological applications have been published, no updated compilation of empirical TBCA research has been completed. Therefore, this scoping review offers relevant empirical research to inform clinical decision-making specific to teleneuropsychology. Method Peer-reviewed studies addressing TBCA were included. Broad search terms were related to telephone, cognitive, or neuropsychological assessment and screening. After systematic searching of the PubMed and EBSCO databases, 139 relevant articles were retained. Results In total, 17 unique cognitive screening measures, 20 cognitive batteries, and 6 single-task measures were identified as being developed or adapted specifically for telephone administration. Tables summarizing the identified cognitive assessments, information on diagnostic accuracy, and comparisons to face-to-face cognitive assessment are included in supplementary materials. Conclusions Overall, literature suggests that TBCA is a viable modality for identifying cognitive impairment in various populations. However, the mode of assessment selected clinically should reflect an understanding of the purpose, evidence, and limitations for various tests and populations. Most identified measures were developed for research application to support gross cognitive characterization and to help determine when more comprehensive testing was needed. While TBCA is not meant to replace gold-standard, face-to-face evaluation, if appropriately utilized, it can expand scope of practice, particularly when barriers to standard neuropsychological assessment occur.

No abstract

Abstract. The systems that statisticians are asked to assess, such as nuclear weapons, infrastructure networks, supercomputer codes and munitions, have become increasingly complex. It is often costly to conduct full system tests. As such, we present a review of methodology that has been proposed for addressing system reliability with limited full system testing. The first approaches presented in this paper are concerned with the combination of multiple sources of information to assess the reliability of a single component. The second general set of methodology addresses the combination of multiple levels of data to determine system reliability. We then present developments for complex systems beyond traditional series/parallel representations through the use of Bayesian networks and flowgraph models. We also include methodological contributions to resource allocation considerations for system relability assessment. We illustrate each method with applications primarily encountered at Los Alamos National Laboratory.

No abstract