Eclipse Ice Core Accumulation and Stable Isotope Variability as an Indicator of North Pacific Climate

The high accumulation rate and negligible amount of melt at Eclipse Icefield (3017 m) in the Saint Elias Range of Yukon, Canada, allows for the preservation of a high-resolution isotopic and glaciochemical records valuable for reconstruction of climatic variables. Each of the three Eclipse ice cores have a well-constrained depth–age scale with dozens of reference horizons over the twentieth century that permits an exceptional level of confi- dence in the results of the current calibration exercise. Stacked time series of accumulation and stable isotopes were divided into cold and warm seasons and seasons of extreme high and extreme low accumulation and stable isotope values (eight groups). For each group, season-averaged composites of 500-hPa geopotential height grids, and the individual seasons that constitute them, were analyzed to elucidate common anomalous flow patterns. This analysis shows that the most fractionated isotopes and lowest accumulation cold seasons reflect a more zonal height pattern in the North Pacific associated with negative Pacific–North American (PNA) and Pacific decadal oscillation (PDO) indices. Conversely, the least fractionated isotopes and highest accumulation cold seasons are associated with a positive PNA pattern. Although only a maximum of approximately 20% of the total number of accumulation and stable isotope seasons exhibit a relatively consistent relationship with 500-hPa geopotential height patterns, these results support the hypothesis that the most extreme accumulation and extreme isotope cold-season values in the Saint Elias Mountains are related to consistent atmospheric circulation and oceanic sea surface temperature patterns

Fine-grained timing using genetic programming

In previous work, we have demonstrated that it is possible to use Genetic Programming to minimise the resource consumption of software, such as its power consumption or execution time. In this paper, we investigate the extent to which Genetic Programming can be used to gain fine-grained control over software timing. We introduce the ideas behind our work, and carry out experimentation to find that Genetic Programming is indeed able to produce software with unusual and desirable timing properties, where it is not obvious how a manual approach could replicate such results. In general, we discover that Genetic Programming is most effective in controlling statistical properties of software rather than precise control over its timing for individual inputs. This control may find useful application in cryptography and embedded systems

Investigation of the deposition and emission of mercury in Arctic snow during an atmospheric mercury

Master of ScienceGeologyUniversity of Michiganhttp://deepblue.lib.umich.edu/bitstream/2027.42/115442/1/39015074255657.pd

DEVELOPING AND VALIDATING A QUALITY OF DELIVERY SCALE AND ASSESSING ADULT-TRAINEES’ COGNITIVE LOAD, MOTIVATION, AND COMPLIANCE

Effective communication is crucial for successful behavior change. However, despite much research in training and development, instructional communication, and public health surrounding communication, it is still unclear what constitutes such effective delivery behaviors, especially for an adult learner population (those over 25 years old). Using cognitive load theory and cognitive-affective theory of learning with media as theoretical frameworks, this dissertation proposes a quality of delivery scale for measuring effective communication across instructional settings with an adult learner audience. Informed by public health, training and organizational communication, as well as adult education and instructional communication, the final valid and reliable QD scale consists of seven communication characteristics that are associated with reduced cognitive load, increased motivation, and increased compliance. Ultimately, this three-phase study consisted of: (a) developing the QD scale, (b) confirming the factor structure, as well as convergent and predictive validity, and (c) testing a theoretical model of QD

Attractiveness privilege : the unearned advantages of physical attractivenesss

In this theoretical investigation, I explore level of physical attractiveness as a characteristic that privileges people who are more attractive and oppresses those who are less attractive. I discuss the concept of privilege, societal standards of physical attractiveness, and the ways in which people who are more physically attractive are treated and perceived more positively by others. To examine this phenomenon more deeply, I introduce the theoretical perspectives of intersectionality and conflict theory. Intersectionality refers to the idea that different areas of privilege and oppression interact with each other in ways that create unique experiences of privilege and oppression for each individual. I use the theory of intersectionality to explain how attractiveness privilege overlaps with privilege or oppression in the areas of gender, race, social class, age, and disability status. Conflict theory, on the other hand, is the idea that inequality continues to exist because people who benefit from inequality have the power to create systems that perpetuate inequality. I use conflict theory to propose that inequality based on physical attractiveness exists because people involved in corporations within the beauty industry benefit economically from the existence of attractiveness privilege and reinforce this type of privilege through advertising. Finally, I discuss the implications of my findings about attractiveness privilege for social work practice, policy, and research

Kelsey\u27s hardy American rhododendrons and specimen evergreens: August and fall planting

https://digitalcommons.salemstate.edu/books_pamphlets/1038/thumbnail.jp

Virtual EQ – the talent differentiator in 2020?

In an increasingly competitive, globalised world, knowledge-intensive industries/ services are seen as engines for success. Key to this marketplace is a growing army of ‘talent’ i.e. skilled and dedicated knowledge workers. These knowledge workers engage in non-routine problem solving through combining convergent, divergent and creative thinking across organizational and company boundaries - a process often facilitated though the internet and social media, consequently forming networks of expertise. For knowledge workers, sharing their learning with others through communities of practice embedded in new information media becomes an important element of their personal identity and the creation of their individual brand or e-social reputation. Part of the new knowledge/skills needed for this process becomes not only emotional intelligence (being attuned to the emotional needs of others) but being able to do this within and through new media, thus the emergence of virtual emotional intelligence (EQ). Our views of current research found that HRD practitioners in 2020 might need to consider Virtual EQ as part of their talent portfolio. However it seems that new technology has created strategies for capturing and managing knowledge that are readily duplicated and that a talent differentiator in 2020 might simply be the ability and willingness to learn

Ion-water clusters, bulk medium effects, and ion hydration

Thermochemistry of gas-phase ion-water clusters together with estimates of the hydration free energy of the clusters and the water ligands are used to calculate the hydration free energy of the ion. Often the hydration calculations use a continuum model of the solvent. The primitive quasichemical approximation to the quasichemical theory provides a transparent framework to anchor such efforts. Here we evaluate the approximations inherent in the primitive quasichemical approach and elucidate the different roles of the bulk medium. We find that the bulk medium can stabilize configurations of the cluster that are usually not observed in the gas phase, while also simultaneously lowering the excess chemical potential of the ion. This effect is more pronounced for soft ions. Since the coordination number that minimizes the excess chemical potential of the ion is identified as the optimal or most probable coordination number, for such soft ions, the optimum cluster size and the hydration thermodynamics obtained without account of the bulk medium on the ion-water clustering reaction can be different from those observed in simulations of the aqueous ion. The ideas presented in this work are expected to be relevant to experimental studies that translate thermochemistry of ion-water clusters to the thermodynamics of the hydrated ion and to evolving theoretical approaches that combine high-level calculations on clusters with coarse-grained models of the medium