This study examines the effects of the discretion allowed in fair value accounting on manager selling decisions of Level 3 fair value assets and liabilities. Grounded in motivated reasoning and prospect theory, the discretion permitted for Level 3 fair value assets and liabilities is predicted to have behavioral consequences. The study employs a 2 X 2 between- participant design, manipulating a conservative level of the discretion used to ascertain the fair value (more or less conservative) and the volatility of the historically recognized fair value (low or high). Both graduate students and accounting professionals were asked to read a case scenario and make selling decisions regarding a pool of Level 3 fair value assets purchased six quarters ago. The results indicate that the discretion of the conservative level affects the asking price although the volatility of historically recognized fair values does not significantly influence accounting professionals’ selling choices. In a comparative analysis, as volatility increases, the difference in the asking price increases between the graduate student sample and the professional sample. Additionally, this study provides support that discretion of the conservative level does not affect the likelihood to sell the security, but rather affects the asking price and the lowest price willing to accept if participants were to sell the Level 3 fair value security. These findings contribute to the fair value accounting literature by providing new insights on the effects fair value discretion has on manager decision-making as well as contributing evidence to the fair value accounting relevance debate.

Prior research has shown that even the most subjective fair value estimates are value-relevant (Song et al. 2010, Kolev 2009, Goh et al. 2009) and that managers appear to use Level 3 valuations opportunistically (Valencia 2011, Fiechter and Meyer 2009). However, the association between “traditional” measures of aggressiveness in financial reporting and biased estimates of fair value has not been previously studied. I test whether aggressiveness, as measured by discretionary accruals, real activities manipulation, and meeting-or-beating analysts’ consensus estimates, is positively associated with realized and unrealized gains and losses on Level instruments. Overall, I find limited support that aggressive firms opportunistically use fair value measurements to overstate earnings. Inferences remain the same whether only the unrealized component of gains/losses are examined and whether firms are classified into “suspect” or “non-suspect” groups.

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Background: A rural level 1 trauma center underwent a consolidation to level III status in a new trauma network system. A dedicated group of midlevel practitioners emphasizing early mobilization, a geriatric care model, and fall prevention replaced surgical residents in the level 3 center. We hypothesized that outcomes of elderly fall-related injuries may be enhanced with midlevel providers using a geriatric-focused care model. Methods: An IRB-approved trauma registry review of patients over 65 years of age with a fall-related injury admitted to a rural trauma center 1 year prior to and 1 year following a trauma center consolidation from level 1 to level III designation evaluated demographics, anticoagulant use, comorbidities, and clinical outcomes. Statistical analysis included t-test and regression analysis. Results: 327 patients injured by falls were seen over a 2-year study period. The number of patients admitted with a fall-related injury and the injury severity were similar over the study period. Increasing age and anticoagulant use increased length of stay and mortality (both with P <.05). Mortality rates and patient level of independence on discharge were improved in the later period involving midlevel practitioners (both with P <.05). Discussion: Trauma centers and trauma system networks face increasing challenges to provide resources and providers of care for patients injured by falls, especially for the growing elderly population. Midlevel providers focusing on geriatric clinical issues and goals may enhance care and outcomes of elderly fall-related injuries.

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Magister Curationis - MCur / The study explores the experiences of nurses who care for severe/profound intellectual disabled patients at Level 3 Psychiatric Hospital in Cape Town. People with severe intellectual disabilities require constant care and supervision which can only be provided in specialised units. In the Western Cape, one such facility is a special section for the intellectually disabled at a level three hospital. Intellectual disability is a serious lifelong disability that places a heavy burden on affected individuals. Caring for these patients may affect the individuals who work within the intellectual disability services. This study explores the experiences of nurses who care for these patients. A Phenomenological research design was chosen as the researcher identified it as the most appropriate method to describe the lived experiences of the nurses. Purposive sampling was used to select 10 participants. However, data saturation was reached after interviewing eight participants. Data was collected through in-depth unstructured interviews. The audio-taped responses were transcribed verbatim and phenomenological data analysis done. Ethical clearance was obtained from the Higher Degrees Committee of the University of the Western Cape. Permission to do the research at the level three hospitals was sought from the Associated Psychiatric Hospital Committee. Consent to participate in the study was obtained from the participants, and ethical principles were adhered to. Participants were informed of the right to withdraw at any stage of the study and intervention offered when required. Trustworthiness of the research process was ensured. Findings: from this study the nurses who care for severe/profound intellectual disabled patients reported that they were not adequately prepared to care for these patients. It has also been reported that caring for the severely/profound disabled comes with some consequences, where emotional (negative and positive), physical and professional consequences were mentioned. The shortage of resources was found to be one of the challenges the nurses experienced. The nurses felt unappreciated for the work they did and less supported by their employer.

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In the past, we could rely on technology scaling and new micro-architectural techniques to improve the performance of processors. Nowadays, both of these methods are reaching their limits. The primary concern in future architectures with billions of transistors on a chip and limited power budgets is power/energy efficiency. Full-custom design of application-specific cores can yield up to two orders of magnitude better power efficiency over conventional general-purpose cores. However, a tremendous design effort is required in integrating a new accelerator for each new application. In this dissertation, we present the design of specialized compute fabrics that maintain the efficiency of full custom hardware while providing enough flexibility to execute a whole class of coarse-grain operations. The broad vision is to develop integrated and specialized hardware/software solutions that are co-optimized and co-designed across all layers ranging from the basic hardware foundations all the way to the application programming support through standard linear algebra libraries. We try to address these issues specifically in the context of dense linear algebra applications. In the process, we pursue the main questions that architects will face while designing such accelerators. How broad is this class of applications that the accelerator can support? What are the limiting factors that prevent utilization of these accelerators on the chip? What is the maximum achievable performance/efficiency? Answering these questions requires expertise and careful codesign of the algorithms and the architecture to select the best possible components, datapaths, and data movement patterns resulting in a more efficient hardware-software codesign. In some cases, codesign reduces complexities that are imposed on the algorithm side due to the initial limitations in the architectures. We design a specialized Linear Algebra Processor (LAP) architecture and discuss the details of mapping of matrix-matrix multiplication onto it. We further verify the flexibility of our design for computing a broad class of linear algebra kernels. We conclude that this architecture can perform a broad range of matrix-matrix operations as complex as matrix factorizations, and even Fast Fourier Transforms (FFTs), while maintaining its ASIC level efficiency. We present a power-performance model that compares state-of-the-art CPUs and GPUs with our design. Our power-performance model reveals sources of inefficiencies in CPUs and GPUs. We demonstrate how to overcome such inefficiencies in the process of designing our LAP. As we progress through this dissertation, we introduce modifications of the original matrix-matrix multiplication engine to facilitate the mapping of more complex operations. We observe the resulting performance and efficiencies on the modified engine using our power estimation methodology. When compared to other conventional architectures for linear algebra applications and FFT, our LAP is over an order of magnitude better in terms of power efficiency. Based on our estimations, up to 55 and 25 GFLOPS/W single- and double-precision efficiencies are achievable on a single chip in standard 45nm technology. / text

The upcoming level 3 generation of self-driving vehicles will be characterized by the freedom of not having the driver’s hands on the steering wheel. This acquired freedom is posing new challenges on the traditional passenger comfort paradigm as the drivers will spend a higher amount of time doing non-driving tasks (NDRT). Certain constraints must be imposed as the level 3 generation systems will not be able to drive all the time without active feedback from the user. The driver needs to stay active enough to do takeover in a situation where it is needed to. What effect will different NDRT have on the behavior of a driver in a self-driving car? In our low fidelity driving simulator, we tested different simple actions (e.g. playing a simple 2D game). We then evaluated them based on their accident avoidance and situation awareness in the post-transition period. The results show a significant difference between the reaction speeds of the drivers before and after an active task.