The goal of the presented research is to explain the importance of integrating the literatures on leader bottom-line mentality (BLM) and behavioral ethics and to demonstrate that leader BLM can adversely impact followers' perceptions of ethical leadership. By doing so, several contributions can be made. First, I identify an antecedent of ethical leadership. Predominantly, most ethical leadership research has focused on identifying its outcomes (Brown & Mitchell, 2010). Second, I will offer new theoretical insights regarding the antecedents of ethical leadership. Past ethical leadership research has primarily relied on social exchange (Blau, 1964; Gouldner, 1960) and social cognitive (Bandura, 1977, 1986) theories, whereas I will draw on trait activation and cognitive stress theories to examine the relationship between BLM and ethical leadership. By integrating these two theories I will demonstrate Kerr's (1975) example of “the folly of rewarding A, while hoping for B.” Third, I will explain and demonstrate why follower BLM and leader stress perceptions are important boundary conditions regarding the primary relationship of interest and overall model. Comprehensively, I examine and demonstrate the potential of a backfiring effect that can be strengthened or weakened. This research aims to shed light on the often disregarded catch-22 leaders face in world that is increasingly concerned about bottom-line outcomes, while also demanding an immaculate standard of ethical behavior from leaders.

In general an ontology is created by following a top-down, or so called genus-species approach, where the species are differentiated from the genus and from each other by means of differentiae [8]. The superconcept is the genus, every subconcept is a species, and the differentiae correspond to roles. To complete it a user organizes data into a proper structure, accompanied with the instances in that domain in order to complete the construction of an ontology. It is a concept learning procedure in a school, for example. Students first learn the general knowledge and apply it to their exercise and homework for practice. After they are more familiar with the knowledge, they can use what they have learned to solve the problems in their daily life. The deductive learning approach is based on the fundamental knowledge that a student has acquired already. By contrast, a more intuitive way of learning is the bottom-up approach, which is based on atomism. That is also a frequently used way for humans to acquire knowledge. From sensing the world by vision, hearing, and touching, people learn information about actual objects, i.e., instances, in the world. After an instance has been collected, a relationship between it and existing knowledge will be created and an ontology will be formed automatically. The primary goal of this thesis is to make a better instance input interface for the ontology development tool Protégé to simplify the procedure of ontology construction. The second goal is to show the feasibility of a bottom-up approach for the building of an ontology. Without setting up the organization of classes and properties (slots) first, a user simply inputs all the information from an instance and the program will form an ontology automatically. It means after an instance has been entered, the system will find a proper location inside of the ontology to store it.

Single-Cell Proteomics (SCP) can provide unique insights into biological processes by resolving heterogeneity that is obscured by bulk measurements. Gains in the overall sensitivity and proteome coverage through improvements in sample processing and analysis increase the information content obtained from each cell, particularly for less abundant proteins. In addition to achieving in-depth proteome coverage from single cells, higher throughput measurements enable large-scale and statistically significant features within single cell populations. This dissertation focuses on method development to improve the sensitivity and throughput of SCP based on the nanoPOTS (nanodroplet Processing in One pot for Trace Samples) platform. The methods discussed here include miniaturization of bottom-up proteome sample preparation and liquid chromatography (LC) separations, implementation of an ultrasensitive latest-generation mass spectrometer, development of automated sample handling workflow, and combination of isotopic and isobaric labeling for higher order multiplexing. The miniaturization of sample preparation largely reduced protein loss during sample preparation and enabled in-depth single-cell proteomics. The sensitivity was further improved using a 20-μm-i.d. in-house-packed nanoLC column and the latest generation Orbitrap Eclipse Tribrid mass spectrometer. A >70% increase in proteome coverage was observed for single cells relative to previous efforts using a 30-μm-i.d. LC columns coupled to a previous-generation Orbitrap Fusion Lumos mass spectrometer. To make SCP and low-input proteome profiling accessible to more proteomics laboratories, a fully automated platform termed autoPOTS (automated Preparation in One pot for Trace Samples) was developed using only commercially available instrumentation for sample processing and analysis. AutoPOTS can be used to analyze 1–500 cells with a modest reduction in peptide coverage for 150 cells and a 24% reduction in coverage for single cells compared to the nanoliter preparation. To improve the throughput of SCP, a hyperplexing sample preparation and analysis method for Single-Cell Proteomics (hyperSCP) was developed using a combination of isotopic and isobaric labeling. This method can improve the throughput by at least 28 times with the same gradient compared to the label-free proteomics and can double or triple the throughput of standard tandem mass tag multiplexing.

Sediment deposited in back-arc basins preserves a record of the extensional, volcanic and tectonic history of the arc-backarc systems. Back-arc sedimentation is of particular interest as seafloor massive sulfide deposits may be preserved in back-arc basin sediments. The study of back-arc sedimentation using acoustic data, such as high-resolution sub-bottom profiling data (Parasound) and seismic reflection data, can be a much more cost effective approach than analysis of sediments recovered from drill cores. In this study, we use these two acoustic datasets to build a facies model of sedimentation in the northeast Lau Basin, an actively opening back-arc basin in the southwest Pacific Ocean. Using 830 km of Parasound and 730 km of seismic lines along 4 transects of the Lau Basin, we constructed one of the most detailed models of sedimentation in a back-arc basin to date. Parasound data show distinct echoes with sub-bottom reflections indicative of a high proportion of hemipelagic sediment, whereas the indistinct echoes with few to no sub-bottom reflections indicate a higher proportion of coarse, bedded, volcaniclastic turbidites. Hyperbolic echoes are associated with regions of rugged or uneven terrain characterized by exposed, rough basement or deposits formed by contour currents, turbidity currents, slumps or slides. These relationships form the basis of an echo-facies legend developed for typical back-arc basin sediments. The echo-facies observed in the Parasound, and confirmed by deeper-penetrating seismic reflection data, provide important insights into the sedimentary processes involved in back-arc sedimentation. We observed mass transport deposits (MTDs) in all of the sub-basins and slope deposits within and on the flanks of active rifts (e.g., the Fonualei Rift and Spreading Centre, FRSC), suggesting a direct correlation between MTDs and zones of active rifting. We observed an overall increase in sediment thickness toward the Tofua Arc which suggests it is the main sediment source, but local variations in sediment thickness suggest significant input from local intrabasinal seamounts. The uppermost echo-facies in over 60% of the sub-basins in the study area is dominated by hemipelagic material, which suggests an abrupt transition in the dominant sediment source from volcaniclastic to hemipelagic at around 0.3 Ma, when a period of volcanic quiescence from the Tofua Arc began. The study shows that a near complete record of basin evolution can be constructed using geophysical and acoustic methods and that this work may help to locate future drill sites where in situ data can be collected.

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N/A / Thesis / Master of Science (MS)

Thesis. 1977. M.S.--Massachusetts Institute of Technology. Dept. of Earth and Planetary Sciences. / Microfiche copy available in Archives and Science. / Bibliography : leaves 52-54. / M.S.