Digital Commons Network^™

Abrupt Changes In Learning Platforms During A Pandemic, Nicole Nelson, Katie M. Villont

Nursing Masters Papers

The purpose of this secondary analysis is to explore academic nurse educators’ perceived changes to accommodate learning for undergraduate (UG) nursing education in the early months of the COVID-19 pandemic. The objective of this secondary analysis is to investigate three research questions: what perceived changes are needed to accommodate learning, what are new/revised teaching innovations applied for undergraduate (UG) students during the pandemic that may be used post-pandemic, and what are concerns about UG students who will enter the workforce following the pandemic.

A Brief Treatise On Bayesian Inverse Regression., Debashis Chatterjee Dr.

Doctoral Theses

Inverse problems, where in a broad sense the task is to learn from the noisy response about some unknown function, usually represented as the argument of some known functional form, has received wide attention in the general scientific disciplines. However, apart from the class of traditional inverse problems, there exists another class of inverse problems, which qualify as more authentic class of inverse problems, but unfortunately did not receive as much attention.In a nutshell, the other class of inverse problems can be described as the problem of predicting the covariates corresponding to given responses and the rest of the data. …

Using Simulation To Improve Covid-19 Code Blue Outcomes, Charity Shelton

Doctor of Nursing Practice (DNP) Projects

Background

Healthcare workers in the acute care setting must be ready to respond to emergencies at any given time. The recent COVID-19 pandemic put strains on the healthcare workforce that have brought challenges and new competencies for how healthcare workers safely respond to emergencies. To ensure healthcare workers maintain these competencies, specific training must occur to improve emergency response and outcomes. Specifically, there needs to be training for healthcare workers to respond to COVID-19 code blue emergencies safely and with skilled interventions.

Problem

A code blue in the acute care setting is a medical emergency that requires nurses, physicians, and …

Use Of Simulation To Improve Nurse's Response To Covid-19 Code Blue: A Literature Review, Charity Shelton

Doctor of Nursing Practice (DNP) Projects

Background

Healthcare workers in the acute care setting must be ready to respond to emergencies at any given time. The recent COVID-19 pandemic put strains on the healthcare workforce that have brought challenges and new competencies for how healthcare workers safely respond to emergencies. To ensure healthcare workers maintain these competencies, specific training must occur to improve emergency response and outcomes. Specifically, there needs to be training for healthcare workers to respond to COVID-19 code blue emergencies safely and with skilled interventions.

Problem

A code blue in the acute care setting is a medical emergency that requires nurses, physicians, and …

Thermal And Mechanical Numerical Modeling Of Extrusion-Based 3d Printed Reinforced Polymers For Selecting Manufacturing Process Parameters, Sunil Bhandari

Electronic Theses and Dissertations

Extrusion-based 3D printing of thermoplastic polymer composites manufactures parts that have nonhomogenous, orthotropic, and process-dependent macro-scale material properties. As a part of the dissertation, research works were carried out to: • improve the interlayer mechanical properties and reduce the orthotropy, • use experimentally homogenized orthotropic material properties to numerically model the mechanical behavior of the non-homogenous orthotropic 3D printed parts, • create an efficient numerical thermal model to predict the process-dependent thermal history of the 3D printed part, and • aid the manufacturing process by selecting a suitable set of processing parameters based on a simplified sequentially coupled thermomechanical model. …

Exploring Differences Of Age And Gender On Perceived Experience Of Active Participation Cybersecurity Learning, James Lakko

Undergraduate Honors Theses

Many organizations including the United States government have identified a shortage of cybersecurity professionals in the workforce. This thesis explores the effectiveness of escape room/simulation based learning in an active participation and immersive education to motivate pursuing cybersecurity. A survey was administered to the participants of the 2021 BYU Cybersecurity Camp regarding their experience in the Interactive Cybersecurity Experience (ICE). The ICE is a simulator/escape room that challenges participants to complete a Star Trek themed mission by overcoming cybersecurity obstacles. The three demographics that were surveyed included a camp for educators, a camp for boys, and a camp for girls. …

Modeling The Effects Of Parameter Changes On Heating And Pressure At The Weld Interface And Joint Strength In Friction Bit Joining, Adam Hartly Wagner

Theses and Dissertations

Joining of dissimilar metals is a process that is of interest in many fields, especially the automotive industry where lightweighting of the body structure is important. However, creating strong joints between dissimilar metals can be challenging. Friction bit joining (FBJ) is a solid-state method that uses a consumable bit to create a strong joint between dissimilar metals such as aluminum and steel. The purpose of this research is to gain understanding of how adjusting FBJ parameters affects the heating and pressure at the weld interface using a modeling approach, in order to better understand the bonding process. The questions guiding …

Urban Traffic Simulation: Network And Demand Representation Impacts On Congestion Metrics, Aaron Faltesek, Balasubramaniam Dakshinamoorthi, Sreeni Prabhala, Akbar Thobani, Anu Kuncheria, Jane Macfarlane

SMU Data Science Review

Traffic simulations are often used by city planners as a basis for predicting the impact of policies, plans, and operations. The complexities underpinning traffic simulations are often not described in detail yet can significantly impact the simulation outcome. Conflating underlying data for simulations is complex and hinders the interest in this type of exploration. This paper aims to elucidate critical features of traffic simulations that drive the generated metrics of the modeled urban environment. Specifically, this paper examines differences in two road graph networks for the metropolitan region of Houston, TX: a reduced network composed of 45,675 road links and …

Development Of A Three Degree-Of-Freedom Control Simulation For A Group 3 Large Unmanned Aircraft System, Majka Anna Wilczynski

Theses and Dissertations

Aircraft modeling and simulation has become increasingly important in the aviation world. Simulations allow for safer and more economical training prior to flight testing. In this project, a three degree-of-freedom control simulation coded in a MATLAB environment is used to assess and simulate the dynamic stability of group three unmanned aircraft system. By calculating, evaluating, and simulating the static and dynamic stability derivatives of the aircraft, this project will allow for the estimation of the handling qualities of an unmanned aircraft system. This can help mitigate risks that come along with altering the mass and aerodynamic properties of an aircraft, …

The Role Of Forages In Sustainable Cropping Systems Of Southern Australia, William D. Bellotti

IGC Proceedings (1997-2023)

The historical context, recent trends, and possible future role of forages in cropping systems are reviewed. Three recent themes will be developed: 1) The successful exploitation of genetic diversity resulting in commercial development of new legume species as pasture cultivars with specific traits better suited to the needs of current farming systems. 2) Improved understanding of key soil processes under grazed pastures, particularly soil water and soil nitrogen, and how these processes impact on indicators of sustainability like deep drainage and nitrate leaching. 3) An emerging capacity for predicting the effect of pasture-crop sequences on soil processes, crop growth and …

(R1239) A New Type Ii Half Logistic-G Family Of Distributions With Properties, Regression Models, System Reliability And Applications, Emrah Altun, Morad Alizadeh, Haitham M. Yousof, Mahdi Rasekhi, G. G. Hamedani

Applications and Applied Mathematics: An International Journal (AAM)

This study proposes a new family of distributions based on the half logistic distribution. With the new family, the baseline distributions gain flexibility through additional shape parameters. The important statistical properties of the proposed family are derived. A new generalization of the Weibull distribution is used to introduce a location-scale regression model for the censored response variable. The utility of the introduced models is demonstrated in survival analysis and estimation of the system reliability. Three data sets are analyzed. According to the empirical results, it is observed that the proposed family gives better results than other existing models.

Supply Chain Optimization Of A Local Small Business From The Food-Service Industry Using Simulation Models, Aimee Montalvo

Open Access Theses & Dissertations

Various supply chain disruptions can cause revenue losses, low productivity, and damaged reputations. Some examples of such disruptions include increased supply costs, labor shortages, pandemics, natural disasters, or transportation delays. For instance, during the COVID-19 pandemic, several small and medium enterprises (SMEs) suffered greatly from labor shortages, delayed and costly supplies, and decreased demand. In this research, we present a case study of a small local business from the fast-food industry that experienced the loss of employees and delays and analyzed the increased cost of supplies. We created visualization modules with the SMEs supply chain performance measures to see the …

A Testing And Experimenting Environment For Microscopic Traffic Simulation Utilizing Virtual Reality And Augmented Reality, Mahmud Hasan

Computational Modeling & Simulation Engineering Theses & Dissertations

Microscopic traffic simulation (MTS) is the emulation of real-world traffic movements in a virtual environment with various traffic entities. Typically, the movements of the vehicles in MTS follow some predefined algorithms, e.g., car-following models, lane changing models, etc. Moreover, existing MTS models only provide a limited capability of two- and/or three-dimensional displays that often restrict the user’s viewpoint to a flat screen. Their downscaled scenes neither provide a realistic representation of the environment nor allow different users to simultaneously experience or interact with the simulation model from different perspectives. These limitations neither allow the traffic engineers to effectively disseminate their …

Approaches To Improve The Execution Time Of A Quantum Network Simulation, Joseph B. Tippit

Theses and Dissertations

Evaluating quantum networks is an expensive and time-consuming task that benefits from simulation. A potential improvement is to utilize GPUs, namely by leveraging NVIDIA's programming framework, CUDA. To avoid performance pitfalls of higher level languages and programming models such as the so called "two language problem," the Julia Programming Language provides the basis for the development effort. This research develops a two module prototype quantum network simulation framework using GPUs and Julia. Performance of the software is measured and compared against other languages such as MATLAB.

Effectiveness Of Simulation-Based Clinical Skills Training For Medical Students In Respiratory Medicine: A Pilot Study, Russell S. Martins, Saniya Sabzwari, Meesha Iqbal

Medical College Documents

Objective: To assess the effectiveness of high-fidelity simulation-based medical education (HF-SBME) in teaching and learning respiratory clinical examination in medical students.
Study design: Quasi-experimental pilot study.
Place and duration of study: The Aga Khan University, Karachi, from November 2018 to January 2020. Methodology: This study was conducted amongst third year medical students at the University. Students were assigned to intervention (IG) or control groups (CG). The IG underwent training for the respiratory clinical examination on a high-fidelity simulator mannequin, while the CG received the conventional practice session on standardised patients. Students were assessed on their respiratory clinical examination skills in …

Conceptual Model Of Students Abroad’S Behaviour: Agent-Based Modeling Approach, Tutik Inayati, Utomo Sarjono Putro, Santi Novani, Ilham Fadhil Nurdayat

ASEAN Marketing Journal

Manuscript type: Original Papers Research Aims: To explore the behavioral process of international students on how they can change their decision to remain or return home based on their interactions with other agents during their studies. Design/methodology/approach: This paper uses an agent-based methodology approach to simulate the behavior of students based on their interactions while studying abroad. A combination of four parameters with three different scenarios and 40 repetitions in every scenario are conducted to verify the model; 81 simulations are determined to simulate this model. Research Findings: The number of natives interacting with students is proven as one single …

Some Nonparametric Hybrid Predictive Models : Asymptotic Properties And Applications., Tanujit Chakraborty Dr.

Doctoral Theses

Prediction problems like classification, regression, and time series forecasting have always attracted both the statisticians and computer scientists worldwide to take up the challenges of data science and implementation of complicated models using modern computing facilities. But most traditional statistical and machine learning models assume the available data to be well-behaved in terms of the presence of a full set of essential features, equal size of classes, and stationary data structures in all data instances, etc. Practical data sets from the domain of business analytics, process and quality control, software reliability, and macroeconomics, to name a few, suffer from various …

Optizimation Of Vaccination Supply Chain Based On Scg In Nanshan District, Zhenning Dong, Shunzhou Huang, Jiajun Chen, Huiqiong Zheng

Journal of System Simulation

Abstract: To optimize the vaccination network, inventory strategy and human resource allocation in Nanshan District, Supply Chain Guru's (SCG) network optimization method is used to select 50 alternative stations to decrease the fixed operating cost. SCG's inventory optimization method is used to set inventory strategy for each station, and simulation method is designed to compare total cost of all schemes. To optimize the opening days of vaccination stations, an medical personnel allocation rule is designed, which reduces some stations' opening days to 2 or 3 days and increases some stations' medical personnel. An simulation method is designed to compare the …

Shortcut Nitrogen Removal In Photo-Sequencing Batch Reactor, Experiments, Dynamic Model And Full-Scale Design, Sahand Iman Shayan

USF Tampa Graduate Theses and Dissertations

Nitrogen is one of the essential elements for life; however, inefficient use of nitrogen creates major environmental problems. Nitrogen-rich streams from urban areas, farms, and wastewater treatment plants (WWTPs) lead to surface and groundwater contamination, resulting in eutrophication, hypoxia, and notable environmental, public health and economic damage. Ammonia is a form of nitrogen that can be created during industrial or biological nitrogen fixation or decomposition of biomass. Anaerobic digesters (ADs) in WWTP generate biogas from collected sludge from primary and secondary clarifiers to achieve energy recovery in the plant. However, sidestream effluent from dewatering AD sludge contains high concentrations of …

Enhancing Serviceability And Resiliency Of Transportation Networks Based On Topological Credentials And Systematic Design Interventions, Md Ashraf Ahmed

FIU Electronic Theses and Dissertations

Recent advancements in network science showed that the topological credentials (i.e., rank of relative importance) of network components (such as nodes and links), carry significant implications as it is critical to know which components contribute the most to the overall network performance. For transportation networks, critical components (roads, bridges) may become inaccessible for adjacent traffic due to day-to-day congestion or external disruptions (i.e., man-made or natural hazards) that significantly reduce the level of service. Hence, topological credentials of critical network components based on their connectivity need to be assessed to enhance the serviceability, i.e., improved travel time experience as well …

Energy Harvesting For Self-Powered Sensors For Smart Transportation Infrastructures, Anil K. Agrawal, Mohsen Amjadian, Hani Nassif

Civil Engineering Faculty Publications and Presentations

In this research project, an Electromagnetic Energy Harvesting System (EMEHS) is developed for harvesting the kinetic energy of ambient and traffic-induced vibrations and carry out a detailed feasibility study and impacts of such system for application on transportation infrastructures. The proposed EMEHS utilizes the innovative concept of creating array of large number of small permanent magnets through certain optimization criteria to achieve strong and focused magnetic field in a particular orientation. When these magnets are attached to a flexible sub-system and placed close to the copper coil, ambient and traffic-induced vibration of the sub-system induces eddy current in copper the …

Compound Sums, Their Distributions, And Actuarial Pricing, Ang Li

Electronic Thesis and Dissertation Repository

Compound risk models are widely used in insurance companies to mathematically describe their aggregate amount of losses during certain time period. However, evaluation of the distribution of compound random variables and the computation of the relevant risk measures are non-trivial. Therefore, the main purpose of this thesis is to study the bounds and simulation methods for both univariate and multivariate compound distributions. The premium setting principles related to dependent multivariate compound distributions are studied. .

In the first part of this thesis, we consider the upper and lower bounds of the tail of bivariate compound distributions. Our results extend those …

Simulation Of Alternative Plans For Community Based Goat Breeding Program In Arid, Semi-Arid And Mixed Production Systems In Ethiopia, T. Jembere, Barbara Rischkowsky, T. Dessie, K. Kebede, A. Okeyo Mwai, T. Mirkena, A. Haile

IGC Proceedings (1997-2023)

On station small ruminant researches in Ethiopia were ineffective due to various factors. As alternative, community based breeding program (CBBP) has emerged. In the current CBBPs, sire side selection only (SN1) is practiced. The objective of the present work was to compare SN1 by simulating alternative breeding scenarios for Abergelle (AB), Centeral Highland (CH) and Woyto-Guji (WG) goat breeds in Ethiopia. Three scenarios including selection on dam side (SN2) in addition to SN1, application of genomic selection (SN3) onto SN1 and use of sires from SN1 for mating in additional flocks (SN4) were simulated and compared with SN1 based on …

Simulation Of Civil Aircraft Takeoff Scenario Based On Mbse, Liangyu Zhao, Junjie Ye, He Qi, Guo Wei, Zhao Yong

Journal of System Simulation

Abstract: Aiming at the interactions and flaws of design being difficult to be fully discovered, the requirements being hard to be traced, the early verification of system design being difficult to be realized and so on, a Model-Based System Engineering (MBSE) method is adopted to realize the simulation of civil aircraft take-off scenario. Based on the analysis of civil aircraft takeoff scenario requirements, the civil aircraft takeoff scenario simulation architecture, take-off scenario discrete logic model, and continuous physical simulation model are established. The method of fusing the SysML model and Simulink model and the 3D visualization of simulation data …

A Novel Code Team Leader Card To Improve Leader Identification, Palak Shah, Vinod Havalad

Journal of Patient-Centered Research and Reviews

Prompt and clear code team leader identification is vital in effective cardiopulmonary resuscitation (CPR), and pediatric trainees often have limited experience in these scenarios. This project sought to develop a tangible object that provided clear leader identification and assisted in code team management and simulated team training. A Code Team Leader Card (CTLC) was designed to provide clear leader identification while simultaneously providing a cognitive aid via integration of pediatric advanced life support (PALS) algorithms. Additionally, CTLC served to occupy the leader’s hands to limit their ability to intervene on procedural tasks. The CTLC was incorporated into pediatric resident simulation …

Exploring Simulation Design For Mental Health Practice Preparation: A Pilot Study With Learners And Preceptors, Diane E. Mackenzie, Niki Kiepek, Leanne Picketts, Stephanie Zubriski, Karen Landry, Jonathan Harris

The Open Journal of Occupational Therapy

The purpose of this exploratory pilot study was to determine the feasibility of delivering mental health practice simulations for occupational therapy learners, and whether different debriefing approaches yielded performance differences over successive simulations. Five clinical preceptors and nine first year MScOT students participated in this mixed-method study. In week one simulations, one student group received preceptor facilitated debriefing while the other group used self-debriefing. Both groups used the same scripted questions informed by an advocacy-inquiry approach. In the second week, both groups received the preceptor-led debriefing. Preceptors rated student performances while students self-rated their confidence, competence screen, and satisfaction using …

Creating Interprofessional Simulations With An Electronic Health Record, Stephanie De Sam Lazaro, Darla Coss, Krista Anderson, Sarah Beman

Occupational Therapy Faculty Scholarship

Entry level occupational therapy and nursing students participated in interprofessional learning activities utilizing an online electronic health record and face-to-face simulations. Student perceptions and attitudes of interprofessional learning were assessed through the SPICE-R instrument. Outcomes indicated improved communication skills and attitudes towards interprofessional approaches to care.

With Due Respect For Humanity: Engaging Affectivity Through Simulation In Catholic Seminary Formation, Marie Diane Pitt-Payne

Dissertations (1934 -)

Since 1992, Catholic seminaries have approached the education of future priests through a lens of four areas of formation: intellectual, human, pastoral, and spiritual. Although human formation is considered foundational in the formation process, it has not been effectively integrated into seminary curriculum. The language of integral personalism was introduced into the formation landscape by Pope John Paul II, but this anthropology has not sufficiently informed seminary pedagogy. There is a still a subordination of the affective sphere in seminaries, particularly in intellectual formation. Medical schools have developed a pedagogical method that inserts real emotion into the educational process. This …

Transmission Data Rate Control Based Mechanism For Congestion Control In Vehicular Ad Hoc Networks (Vanet), Srihari Jayachandran

Electronic Theses and Dissertations

Vehicular Ad Hoc Networks (VANET) supporting Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (v2I) communication can increase the efficiency and safety of the road transportation systems. VANET typically uses wireless communication technology and in scenarios with high vehicle densities, the communication channel faces congestion, negatively impacting the reliability of the safety applications. To prevent this, the European Telecommunication Standards Institute (ETSI) has proposed the Decentralized Congestion Control (DCC) methodology to effectively control the channel load, by controlling various message transmission parameters like message rate, data rate, and transmission power. Currently, most research works focus on the transmission power to control congestion, while the …

No Dataset Too Small! Animating 3d Motion Data To Enlarge 2d Video Databases, Marion Mundt, Henrike Oberlack, Corey Morris, Johannes Funken, Wolfgang Potthast, Jacqueline Alderson

ISBS Proceedings Archive

This study outlines a technique to leverage the wide availability of high resolution three-dimensional (3D) motion capture data for the purpose of synthesising two-dimensional (2D) video camera views, thereby increasing the availability of 2D video image databases for training machine learning models requiring large datasets. We register 3D marker trajectories to generic 3D body-shapes (hulls) and use a 2D pose estimation algorithm to predict joint centre and anatomical landmark keypoints in the synthesised 2D video views – a novel approach that addresses the limited data available in elite sport settings. We use 3D long jump data as an exemplar use …