Investigating Student Satisfaction and Perception in Clinical Reasoning Skills With Simulated Case-Based Learning as a Level I Fieldwork Experience

Date Presented Accepted for AOTA INSPIRE 2021 but unable to be presented due to online event limitations. Simulation as a Level I fieldwork (FW) has not been widely studied in OT. This presentation will portray student satisfaction outcomes from a 1-week Level I FW using the Simucase™ platform. This descriptive study investigated students' satisfaction with simulated case-based learning and their perception of clinical reasoning skill development compared with paper case scenarios. Students showed a statistically significant change in debrief and reflection, clinical reasoning, and clinical learning (p < .05). Primary Author and Speaker: Amy Mattila Additional Authors and Speakers: Elizabeth Dwyer DeIuliis Contributing Authors: Retta Martin, Emily Casile

INTRINSIC CARBON-OXYGEN LOGGING FOR ENHANCED CONSISTENCY OF RESERVOIR SATURATION MONITORING

Pulsed neutron carbon-oxygen (C/O) logging is a valuable measurement for dynamic reservoir saturation monitoring, especially in mixed salinity and fresh-water environments. Currently, all C/O logs are based on apparent C/O measurements, thus responses of raw data are not comparable between different tools. Tool-specific calibrations are used to convert apparent C/O log to reservoir oil saturation; the objective of C/O logging. In this paper, a new concept of intrinsic C/O logging is introduced so that raw data from different tools can be compared for enhanced log quality control and consistency of raw data and their applications. For a given system of rock, oil, and water, intrinsic carbon (C) and oxygen (O), thus C/O ratio, are theoretically calculated. For the same system, apparent C/O ratio measured by a generic C/O logging tool is also obtained using existing apparent C/O methodology. A correlation between the two is established, enabling an intrinsic C/O log output. Eleven laboratory physical tests and 120 Monte Carlo simulated case studies are conducted. Systems investigated include sandstone and limestone with different porosities and fluid saturations. Borehole sizes are 6 and 8 inches, and borehole fluids are water, oil, and their mixtures. Correlations between intrinsic and apparent C/O are established and concept of intrinsic C/O logging is verified.

A Programming Approach to Collective Autonomy

Research and technology developments on autonomous agents and autonomic computing promote a vision of artificial systems that are able to resiliently manage themselves and autonomously deal with issues at runtime in dynamic environments. Indeed, autonomy can be leveraged to unburden humans from mundane tasks (cf. driving and autonomous vehicles), from the risk of operating in unknown or perilous environments (cf. rescue scenarios), or to support timely decision-making in complex settings (cf. data-centre operations). Beyond the results that individual autonomous agents can carry out, a further opportunity lies in the collaboration of multiple agents or robots. Emerging macro-paradigms provide an approach to programming whole collectives towards global goals. Aggregate computing is one such paradigm, formally grounded in a calculus of computational fields enabling functional composition of collective behaviours that could be proved, under certain technical conditions, to be self-stabilising. In this work, we address the concept of collective autonomy, i.e., the form of autonomy that applies at the level of a group of individuals. As a contribution, we define an agent control architecture for aggregate multi-agent systems, discuss how the aggregate computing framework relates to both individual and collective autonomy, and show how it can be used to program collective autonomous behaviour. We exemplify the concepts through a simulated case study, and outline a research roadmap towards reliable aggregate autonomy.

Analysis of Deformation and Stress Characteristics of Anchored-Frame Structures for Slope Stabilization

In recent years, anchored-frame structures are widely being used in road slopes for stabilization and improvement. The technology of frame structure with anchors is becoming more and more mature, but the pertinent theory lags behind the application. While more attention is being paid to the control of deformation, there is still no uniform solution to the calculation of deformation in the anchored-frame structures. According to the classical laterla earth pressure theory and static equilibrium, this paper improves the calculation method of lateral earth pressure and derives the calculation formula of slope-induced lateral earth pressure. At the same time, based on the elastic foundation beam model, the columns and beams are treated as a whole system, and the appropriate elastic frame beam model is established. The formula of the deformation and bending moments for the columns and beams in the anchored-frame structures are derived. Additionally, the calculated results based on the abovementioned newly derived formulas are compared with those of finite element simulations for a simulated case study. The results of simulation and analytical calculation are basically consistent, which prove the feasibility of the new analytical method.

Monitoring the post-containment COVID-19 crisis in Guadeloupe: Early-warning signals of destabilisation through bootstrapped probability density functions

We propose a method to detect early-warning information in relation with subtle changes occurring in the trend of evolution in data time series of the COVID-19 epidemic spread (e.g. daily new cases). The method is simple and easy to implement on laptop computers. It is designed to be able to provide reliable results even with very small amounts of data (i.e. ≈ 10 − 20). The results are given as compact graphics easy to interpret. The data are separated into two subsets: the old data used as control points to statistically define a "trend" and the recent data that are tested to evaluate their conformity with this trend. The trend is characterised by bootstrapping in order to obtain probability density functions of the expected misfit of each data point. The probability densities are used to compute distance matrices where data clusters and outliers are easily visually recognised. In addition to be able to detect very subtle changes in trend, the method is also able to detect outliers. A simulated case is analysed where R0 is slowly augmented (i.e. from 1.5 to 2.0 in 20 days) to pass from a stable damped control of the epidemic spread to an exponentially diverging situation. The method is able to give an early warning signal as soon as the very beginning of the R0 variation. Application to the data of Guadeloupe shows that a small destabilising event occurred in the data near April 30, 2020. This may be due to an increase of R0 ≈ 0.7 around April 13-15, 2020.

Monitoring and Tracking the Evolution of a Viral Epidemic Through Nonlinear Kalman Filtering: Application to the Covid-19 Case

This work presents a novel methodology for systematically processing the time series that report the number of positive, recovered and deceased cases from a viral epidemic, such as Covid-19. The main objective is to unveil the evolution of the number of real infected people, and consequently to predict the peak of the epidemic and subsequent evolution. For this purpose, an original nonlinear model relating the raw data with the time-varying geometric ratio of infected people is elaborated, and a Kalman Filter is used to estimate the involved state variables. A hypothetical simulated case is used to show the adequacy and limitations of the proposed method. Then, several countries, including China, South Korea, Italy, Spain, UK and the USA, are tested to illustrate its behavior when real-life data are processed. The results obtained clearly show the beneficial effect of the social distancing measures adopted worldwide, confirming that the Covid-19 epidemic peak is left behind in those countries where the outbreak started earlier, and anticipating when the peak will take place in the remaining countries.

A Study on Analyzing the Operation Time of the Sprinkler Head near the Beam with Fire Simulation

In this study, the dangers surrounding vehicular fires were identified by means of statistical analysis of the national fire information system. The analysis was conducted on the operation time of the sprinkler fire extinguisher, which plays the most essential role during the initial fire extinguishing attempt, in case of a fire outbreak. A simulation was created using the application guidelines pertaining to a sprinkler head located close to a beam as provided in NFSC 103. The operation time of the sprinkler head was analyzed for the case of a parking lot fire where a fan was operated. Fire Dynamics Simulator was used as the simulation program. If the revised guidelines were applied to thesimulation, the sprinkler head located directly above the fire source was activated approximately 1 minin advance compared to the sprinkler head operating under current standards. Therefore, it was found that the revised guidelines were suitable and aided in early fire extinguishing attempts. In the case where a fan was operated along with the detector, during the outbreak of a fire, it was found that the operation of the sprinkler head located directly above the fire was delayed by two or more minutes compared to the simulated case where no fan was operated.

A simulated case study of a library in Brazil to improve energy efficiency

The aim of this study is to quantify the energy savings of a library in the city of Foz do Iguaçu/Brazil, through simulations in EnergyPlus. Due to the great participation of air conditioning in the electric consumption of the building under study, the following proposals were studied: the exchange of the current split air conditioning units by a Variable Refrigerant Flow (VRF) system; the application of solar control films on the glasses; and both options together. The methodology followed these steps: firstly, it was simulated the current electricity consumption and the results were validated with real measures; secondly, the retrofitting measures were sized and implemented in the program and the energy savings were quantified; finally, an economic analysis was performed in order to determine the feasibility of the proposals. As a result, the VRF system showed an annual saving in air-conditioning of 42.08% related to the mini-split system. The annual electricity savings were 32.01, 2.14 and 32.80% for the VRF, solar control films, and both options together, respectively. The feasibility analysis of the VRF, considering financing and for a scenario consistent with the historical average growth of the electricity prices and inflation rate, showed that the use of a VRF instead of the splits units recovers the initial investment in 14 years. The application of solar control films proved to be economically unfeasible.