DISTRESSING BUT MEANINGFUL: THE BUFFERING EFFECT OF ROLE MEANING ARCHETYPES

In my dissertation, I develop and explore the buffering effect of role meaning archetypes - internal narratives of the meaning and significance of one’s work role – when people encounter distressing events at work. Emotionally distressing experiences are an unfortunate part of organizational life and can challenge a worker’s sense of meaning. Research focusing on how such events undercut a sense of meaningfulness in the moment suggests that workers require time or post-hoc sensemaking in order to potentially see them as worthwhile. Yet, anecdotal evidence suggests that distressing experiences at work can feel meaningful. I develop theory to explore this phenomenon, suggesting that distressing experiences are a central part of a workers’ internal narrative about their work. I propose a theoretical model for how distressing experiences at work, when they correspond to a person’s role meaning archetype, are perceived as meaningful in the moment. I detail the meaning justification process by which this occurs, specifically arguing for dual cognitive and affective mechanisms. Cognitively, I argue that archetypal distressing events should activate an individual’s valued occupational identity which provides a sense of meaningful coherence to the experience. Affectively, people are likely to experience emotional ambivalence when distressing experiences correspond to role meaning archetypes, which should prompt them to consider the event more flexibly and deeply and how it might meaningfully connect to their values. I conclude by exploring how the buffering effect of role meaning archetypes during distressing events might lead to higher levels of engagement at work. To test my model, I detail a pilot study and propose three empirical studies utilizing a variety of methodologies (survey, experimental, experience sampling) and samples (online, undergraduate, nurses).Doctor of Philosoph

Salicylaldehyde hydrazones: buttressing of outer sphere hydrogen-bonding and copper-extraction properties

Salicylaldehyde hydrazones are weaker copper extractants than their oxime derivatives, which are used in hydrometallurgical processes to recover ~20 % of the world’s copper. Their strength, based on the extraction equilibrium constant Ke, can be increased by nearly three orders of magnitude by incorporating electron-withdrawing or hydrogen-bond acceptor groups (X) ortho to the phenolic OH group of the salicylaldehyde unit. Density functional theory calculations suggest that the effects of the 3-X substituents arise from a combination of their influence on the acidity of the phenol in the pH-dependent equilibrium, Cu2+ + 2Lorg ⇌ [Cu(L–H)2]org + 2H+, and on their ability to ‘buttress’ interligand hydrogen bonding by interacting with the hydrazone N–H donor group. X-ray crystal structure determination and computed structures indicate that in both the solid state and the gas phase, coordinated hydrazone groups are less planar than coordinated oximes and this has an adverse effect on intramolecular hydrogen-bond formation to the neighbouring phenolate oxygen atoms

State Legislative Update

Senate Bill 1970 was introduced in the Florida Senate on March 2, 2004. It was initially referred to the Senate Judiciary Committee where it passed on April 19 with an 8-0 vote. Senate Bill 1970 was read for the first time in the Senate on April 21. The bill passed the full Senate on April 24 with a 39-0 vote. It was then sent to the full House on April 26 where it was substituted for House Bill 1765. Senate Bill 1970 was read and passed in the House on April 27 with a 114-0 vote. The bill was presented to Govenor Bush for signature on June 9 and signed into law on June 10, 2004

Cold-Formed Steel Framed Shear Wall Database

The objective of this paper is to provide an introduction to a recently compiled database of cold-formed steel framed shear wall tests and demonstrate the application of this database for improving the understanding and modeling of cold-formed steel framed shear walls. Over the last 20 years a substantial number of cold-formed steel framed shear walls have been tested under monotonic and cyclic conditions. These tests provide the support for the cold-formed steel framed shear wall provisions provided in the North American Standard for Cold-Formed Steel Structural Framing (AISI S240-15), the North American Standard for Seismic Design of Cold-Formed Steel Structural Systems (AISI S400-15), and the U.S. Seismic Evaluation and Retrofit of Existing Buildings standard (ASCE41- 17). The initial version of the database was assembled during the development of ASCE41-17. The database has recently been expanded to include additional tests, additional complete cyclic information from tests, additional fields regarding limit states and code predictions, and placed in a standardized format. The database consists of a central Excel spreadsheet, ordered plain text files for each individual test, and custom Matlab code for reading, processing, and plotting any desired subset of the database. As a new application of the assembled database the expected strength of cold-formed steel framed shear walls is explored. The information in the database is summarized herein, along with commentary on current code provisions, and areas of potential improvement and need

The California-Kepler Survey. II. Precise Physical Properties of 2025 Kepler Planets and Their Host Stars

We present stellar and planetary properties for 1305 Kepler Objects of Interest (KOIs) hosting 2025 planet candidates observed as part of the California-Kepler Survey. We combine spectroscopic constraints, presented in Paper I, with stellar interior modeling to estimate stellar masses, radii, and ages. Stellar radii are typically constrained to 11%, compared to 40% when only photometric constraints are used. Stellar masses are constrained to 4%, and ages are constrained to 30%. We verify the integrity of the stellar parameters through comparisons with asteroseismic studies and Gaia parallaxes. We also recompute planetary radii for 2025 planet candidates. Because knowledge of planetary radii is often limited by uncertainties in stellar size, we improve the uncertainties in planet radii from typically 42% to 12%. We also leverage improved knowledge of stellar effective temperature to recompute incident stellar fluxes for the planets, now precise to 21%, compared to a factor of two when derived from photometry.Comment: 13 pages, 4 figures, 4 tables, accepted for publication in AJ; full versions of tables 3 and 4 are include

The California-Kepler Survey. I. High Resolution Spectroscopy of 1305 Stars Hosting Kepler Transiting Planets

The California-Kepler Survey (CKS) is an observational program to improve our knowledge of the properties of stars found to host transiting planets by NASA's Kepler Mission. The improvement stems from new high-resolution optical spectra obtained using HIRES at the W. M. Keck Observatory. The CKS stellar sample comprises 1305 stars classified as Kepler Objects of Interest, hosting a total of 2075 transiting planets. The primary sample is magnitude-limited (Kp < 14.2) and contains 960 stars with 1385 planets. The sample was extended to include some fainter stars that host multiple planets, ultra short period planets, or habitable zone planets. The spectroscopic parameters were determined with two different codes, one based on template matching and the other on direct spectral synthesis using radiative transfer. We demonstrate a precision of 60 K in effective temperature, 0.10 dex in surface gravity, 0.04 dex in [Fe/H], and 1.0 km/s in projected rotational velocity. In this paper we describe the CKS project and present a uniform catalog of spectroscopic parameters. Subsequent papers in this series present catalogs of derived stellar properties such as mass, radius and age; revised planet properties; and statistical explorations of the ensemble. CKS is the largest survey to determine the properties of Kepler stars using a uniform set of high-resolution, high signal-to-noise ratio spectra. The HIRES spectra are available to the community for independent analyses.Comment: 20 pages, 19 figures, accepted for publication in AJ; a full version of Table 5 is included as tab_cks.csv and tab_cks.te

Copy number variation genotyping using family information

BACKGROUND: In recent years there has been a growing interest in the role of copy number variations (CNV) in genetic diseases. Though there has been rapid development of technologies and statistical methods devoted to detection in CNVs from array data, the inherent challenges in data quality associated with most hybridization techniques remains a challenging problem in CNV association studies. RESULTS: To help address these data quality issues in the context of family-based association studies, we introduce a statistical framework for the intensity-based array data that takes into account the family information for copy-number assignment. The method is an adaptation of traditional methods for modeling SNP genotype data that assume Gaussian mixture model, whereby CNV calling is performed for all family members simultaneously and leveraging within family-data to reduce CNV calls that are incompatible with Mendelian inheritance while still allowing de-novo CNVs. Applying this method to simulation studies and a genome-wide association study in asthma, we find that our approach significantly improves CNV calls accuracy, and reduces the Mendelian inconsistency rates and false positive genotype calls. The results were validated using qPCR experiments. CONCLUSIONS: In conclusion, we have demonstrated that the use of family information can improve the quality of CNV calling and hopefully give more powerful association test of CNVs

Copy number variation genotyping using family information

Abstract Background In recent years there has been a growing interest in the role of copy number variations (CNV) in genetic diseases. Though there has been rapid development of technologies and statistical methods devoted to detection in CNVs from array data, the inherent challenges in data quality associated with most hybridization techniques remains a challenging problem in CNV association studies. Results To help address these data quality issues in the context of family-based association studies, we introduce a statistical framework for the intensity-based array data that takes into account the family information for copy-number assignment. The method is an adaptation of traditional methods for modeling SNP genotype data that assume Gaussian mixture model, whereby CNV calling is performed for all family members simultaneously and leveraging within family-data to reduce CNV calls that are incompatible with Mendelian inheritance while still allowing de-novo CNVs. Applying this method to simulation studies and a genome-wide association study in asthma, we find that our approach significantly improves CNV calls accuracy, and reduces the Mendelian inconsistency rates and false positive genotype calls. The results were validated using qPCR experiments. Conclusions In conclusion, we have demonstrated that the use of family information can improve the quality of CNV calling and hopefully give more powerful association test of CNVs.http://deepblue.lib.umich.edu/bitstream/2027.42/112374/1/12859_2012_Article_5896.pd