An Artifact from the Collapse

University of Michiganhttp://deepblue.lib.umich.edu/bitstream/2027.42/156356/1/AnArtifactfromtheCollapse_Thesis_DForsee.pd

Genocide Masquerading: The Politics of the Sharpeville Massacre and Soweto Uprising

Apartheid South Africa represented a paradox as a US ally and human rights pariah. “Genocide Masquerading” uncovers the implications of US foreign policy on the rise and decline of apartheid, looking specifically at the 1960 Sharpeville Massacre and the 1976 Soweto Uprising. By comparing Presidents Eisenhower, Kennedy, Ford, and Carter foreign policy responses, this thesis creates a comparative analysis of how effective, or ineffective, the United States was during pivotal moments in apartheid history. This thesis will not only expand on the developing South African literature but add to the conversation of international aid, diplomacy practices, and North-South relationships

Cannot Afford to Publicly Surrender: The Public\u27s Influence on Ronald Reagan\u27s Strategic Relationship with South Africa

Reagan’s administration used the policy of constructive engagement to bring gradual reform to the apartheid system and build peace in the southern African region. The coordination of anti-apartheid activist organizations and members advocating for harsher economic pressure on South Africa successfully raised US public awareness and shifted public opinion against constructive engagement’s gradualist policies. As a result, leading Reagan staffers like Assistant Secretary of State for African Affairs Chester Crocker recalibrated constructive engagement’s focus to quicken regional peacebuilding maintain stability and control of US foreign policy in the public eye. This thesis analyzes the early influences on constructive engagement and Reagan’s efforts to maintain economic gradualism while emphasizing the role of US anti-apartheid activists as active agents of change in Reagan’s policies towards South Africa. “Cannot Afford to Publicly Surrender” focuses on how Reagan staffers and anti-apartheid activists used public mediums as stages for their respective agendas on US foreign policy

Reactions of Oxazolinium and Dihydrooxazinium Salts Prepared by an Azide Insertion Sequence: pH Control of Product Distribution

This is the publisher's version, also available electronically from "https://www.thieme-connect.de"

Good Jobs: Employment and Wages in Groups of Regional Industrial Drivers

Talent attraction and workforce development are urgent topics in Northeast Ohio, as many companies are finding it challenging to locate and attract necessary workers for open jobs. This dilemma spans across sectors: from the manufacturing industry finding appropriately skilled labor to professional services finding experienced IT staff. This research analyzes employment dynamics among Northeast Ohio (NEO) industries, so policymakers and economic development practitioners can utilize our findings and design programs to improve the economic conditions in the region. This report builds on The Center for Economic Development’s prior work, which identified NEO’s Groups of Regional Industry Drivers (GRIDs). These sectors are industries with strong productivity, growing output, high regional specialization, and local competitive advantage. GRID industries connect via supply chains; thus, GRIDs identification focuses on classifying industries that contribute the most to wealth creation. The following report discusses the jobs that are created by GRIDs and their supply chain industries to put forward a relevant discussion on these industries’ futures

Influence of Acute Turkesterone Dosing on Resting Metabolic Rate and Substrate Utilization in Recreationally-active Males

Turkesterone is a relatively novel phytoecdysteroid compound that has become increasingly popular amongst recreationally active adults seeking to improve body composition. Although many of the these hypothetical benefits arose from prior rodent data demonstrating enhanced substrate utilization, no data presently exist amongst humans in this regard. PURPOSE: to determine the effect of multiple turkesterone doses on both resting metabolic rate (RMR) and substrate utilization in a healthy human population. METHODS: Eleven recreationally active males (23.3±2.2y) visited the laboratory on three occasions separated by at least seven days and were randomized in single-blind, placebo-controlled, and counter-balanced crossover fashion to either 2000mg cellulose placebo (PLA), 1000mg turkesterone + 1000mg placebo, (1000T) or 2000mg (2000T) turkesterone. RMR and respiratory exchange ratio were assessed using a metabolic cart for 20 minutes prior to supplement provision (i.e. baseline [PRE)), as well as 60-minutes (POST60M), 120-minutes (POST120M), and 180-minutes (POST180M) post-acute supplementation timepoints at each visit. RMR, as well as both carbohydrate (CHO) and Fat (FAT) oxidation were analyzed using a two-way (condition [PLA, 1000T, 2000T] x time [PRE, POST60M, POST120M, POST180M) ANOVA with repeated measures at a significance level of pRESULTS: Analyses failed to reveal any significant condition, time, nor interaction effects for RMR, nor CHO or FAT oxidation (p\u3e0.05). Nonetheless, both 1000T (2.7%, 5.6%, and 7.8%) and 2000T (0.7%, 4.2%, and 3.6%) increased mean RMR above baseline at POST60M, POST120M, and POST180M timepoints, respectively. Conversely, PLA decreased mean RMR by 0.9% and 0.7% at POST60M and POST120M, respectively. Incidentally, the 1000T condition displayed increased mean FAT oxidation by 1.85, 5.34, and 7.96% at the POST60M, POST120M, and POST180M timepoints, respectively, and when compared to the consistent decreases observed with both PLA and 2000T. CONCLUSION: Although these data fail to display a significant turkesterone-mediated enhancement in the investigated metabolic parameters, there were interesting mean differences that should be further explored to determine any longitudinal and/or exercise-dependent permissive impacts on RMR and substrate utilization

Interdependent Infrastructure as Linked Social, Ecological, and Technological Systems (SETSs) to Address Lock‐in and Enhance Resilience

Traditional infrastructure adaptation to extreme weather events (and now climate change) has typically been techno‐centric and heavily grounded in robustness—the capacity to prevent or minimize disruptions via a risk‐based approach that emphasizes control, armoring, and strengthening (e.g., raising the height of levees). However, climate and nonclimate challenges facing infrastructure are not purely technological. Ecological and social systems also warrant consideration to manage issues of overconfidence, inflexibility, interdependence, and resource utilization—among others. As a result, techno‐centric adaptation strategies can result in unwanted tradeoffs, unintended consequences, and underaddressed vulnerabilities. Techno‐centric strategies that lock‐in today\u27s infrastructure systems to vulnerable future design, management, and regulatory practices may be particularly problematic by exacerbating these ecological and social issues rather than ameliorating them. Given these challenges, we develop a conceptual model and infrastructure adaptation case studies to argue the following: (1) infrastructure systems are not simply technological and should be understood as complex and interconnected social, ecological, and technological systems (SETSs); (2) infrastructure challenges, like lock‐in, stem from SETS interactions that are often overlooked and underappreciated; (3) framing infrastructure with a SETS lens can help identify and prevent maladaptive issues like lock‐in; and (4) a SETS lens can also highlight effective infrastructure adaptation strategies that may not traditionally be considered. Ultimately, we find that treating infrastructure as SETS shows promise for increasing the adaptive capacity of infrastructure systems by highlighting how lock‐in and vulnerabilities evolve and how multidisciplinary strategies can be deployed to address these challenges by broadening the options for adaptation

Computational modelling of salamander retinal ganglion cells using machine learning approaches

Artificial vision using computational models that can mimic biological vision is an area of ongoing research. One of the main themes within this research is the study of the retina and in particular, retinal ganglion cells which are responsible for encoding the visual stimuli. A common approach to modelling the internal processes of retinal ganglion cells is the use of a linear - non-linear cascade model, which models the cell's response using a linear filter followed by a static non-linearity. However, the resulting model is generally restrictive as it is often a poor estimator of the neuron's response. In this paper we present an alternative to the linear - non-linear model by modelling retinal ganglion cells using a number of machine learning techniques which have a proven track record for learning complex non-linearities in many different domains. A comparison of the model predicted spike rate shows that the machine learning models perform better than the standard linear - non-linear approach in the case of temporal white noise stimuli

Iterative Assembly of Macrocyclic Lactones using Successive Ring Expansion Reactions

Macrocyclic lactones can be prepared from lactams and hydroxyacid derivatives via an efficient 3- or 4-atom iterative ring expansion protocol. The products can also be expanded using amino acid-based linear fragments, meaning that macrocycles with precise sequences of hydroxy- and amino acids can be assembled in high yields by 'growing' them from smaller rings, using a simple procedure in which high dilution is not required. The method should significantly expedite the practical synthesis of diverse nitrogen containing macrolide frameworks