Decoding the Jackpot: Exploring Theoretical and Real World Outcomes of Gambling Strategies

Description
This review explores popular gambling strategies often believed to guarantee wins, such as card counting and taking advantage of arbitrage. We present a mathematical overview of these systems to evaluate their theoretical effectiveness in ideal conditions by presenting prior research…

This review explores popular gambling strategies often believed to guarantee wins, such as card counting and taking advantage of arbitrage. We present a mathematical overview of these systems to evaluate their theoretical effectiveness in ideal conditions by presenting prior research and mathematical proofs. This paper then generates results from these models using Monte Carlo simulations and compares them to data from real-world scenarios. Additionally, we examine reasons that might explain the discrepancies between theoretical and real-world results, such as the potential for dealers to detect and counteract card counting. Ultimately, although these strategies may fare well in theoretical scenarios, they struggle to create long-term winning solutions in casino or online gambling settings.
Date Created
2024-05
Agent

panCanSYGNAL

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Description

panCanSYGNAL is a web-application designed to allow cancer researchers to search the relationships between somatic mutations, regulators, and biclusters corresponding to many cancers using a Google-like searchable database.

Date Created
2022-05
Agent

Agoraphobia and the COVID-19 Pandemic

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Description
When the Covid-19 virus began to spread worldwide in the spring of 2020, life across the globe changed rapidly. Government restrictions required people to move into prolonged social isolation and the resulting impact of this isolation on mental health has…

When the Covid-19 virus began to spread worldwide in the spring of 2020, life across the globe changed rapidly. Government restrictions required people to move into prolonged social isolation and the resulting impact of this isolation on mental health has been profound (Brooks et al., 2020). Initial research has begun to be conducted to understand the scope of how social isolation and the pandemic have influenced people’s psychological well-being. Thus far there has been a marked increase in depression and anxiety disorders (Eyice Karabacak et al., 2021). Agoraphobia is an anxiety disorder that is characterized by fear and avoidance of certain settings. Undoubtedly, fear and avoidance of certain settings during the pandemic cannot be considered abnormal behavior as it is in line with a normative response to such a threatening phenomenon. This study investigates how normative avoidance of certain settings during the pandemic may have now evolved into fear of the settings themselves. In particular, it tested if the start of the pandemic is associated with the prevalence rate of Agoraphobia. This was done via a retrospective study that uses self-report data to examine whether participants presented symptoms of Agoraphobia prior to the start of the pandemic and if they currently exhibit symptoms of Agoraphobia. In addition to the study, the website designed to host this study also provided mental health resources to participants, in light of the documented increase in mental illness since the start of the pandemic (Brooks et al., 2020).
Date Created
2022-05
Agent

Agoraphobia and the COVID-19 Pandemic

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Description

When the Covid-19 virus began to spread worldwide in the spring of 2020, life across the globe changed rapidly. Government restrictions required people to move into prolonged social isolation and the resulting impact of this isolation on mental health has…

When the Covid-19 virus began to spread worldwide in the spring of 2020, life across the globe changed rapidly. Government restrictions required people to move into prolonged social isolation and the resulting impact of this isolation on mental health has been profound (Brooks et al., 2020). Initial research has begun to be conducted to understand the scope of how social isolation and the pandemic have influenced people’s psychological well-being. Thus far there has been a marked increase in depression and anxiety disorders (Eyice Karabacak et al., 2021). Agoraphobia is an anxiety disorder that is characterized by fear and avoidance of certain settings. Undoubtedly, fear and avoidance of certain settings during the pandemic cannot be considered abnormal behavior as it is in line with a normative response to such a threatening phenomenon. This study investigates how normative avoidance of certain settings during the pandemic may have now evolved into fear of the settings themselves. In particular, it tested if the start of the pandemic is associated with the prevalence rate of Agoraphobia. This was done via a retrospective study that uses self-report data to examine whether participants presented symptoms of Agoraphobia prior to the start of the pandemic and if they currently exhibit symptoms of Agoraphobia. In addition to the study, the website designed to host this study also provided mental health resources to participants, in light of the documented increase in mental illness since the start of the pandemic (Brooks et al., 2020).

Date Created
2022-05
Agent

Economic Analysis of Expenditure for Covid-19

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Description

This thesis was conducted to study and analyze the fund allocation process adopted by different states in the United States to reduce the impact of the Covid-19 virus. Seven different states and their funding methodologies were compared against the case…

This thesis was conducted to study and analyze the fund allocation process adopted by different states in the United States to reduce the impact of the Covid-19 virus. Seven different states and their funding methodologies were compared against the case count within the state. The study also focused on development of a physical distancing index based on three significant attributes. This index was then compared to the expenditure and case counts to support decision making.
A regression model was developed to analyze and compare how different states case counts played out against the regression model and the risk index.

Date Created
2021-05
Agent

Forecasting the 85281 Residential Rental Property

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Description
The listing price of residential rental real estate is dependent upon property specific attributes. These attributes involve data that can be tabulated as categorical and continuous predictors. The forecasting model presented in this paper is developed using publicly available, property…

The listing price of residential rental real estate is dependent upon property specific attributes. These attributes involve data that can be tabulated as categorical and continuous predictors. The forecasting model presented in this paper is developed using publicly available, property specific information sourced from the Zillow and Trulia online real estate databases. The following fifteen predictors were tracked for forty-eight rental listings in the 85281 area code: housing type, square footage, number of baths, number of bedrooms, distance to Arizona State University’s Tempe Campus, crime level of the neighborhood, median age range of the neighborhood population, percentage of the neighborhood population that is married, median year of construction of the neighborhood, percentage of the population commuting longer than thirty minutes, percentage of neighborhood homes occupied by renters, percentage of the population commuting by transit, and the number of restaurants, grocery stores, and nightlife within a one mile radius of the property. Through regression analysis, the significant predictors of the listing price of a rental property in the 85281 area code were discerned. These predictors were used to form a forecasting model. This forecasting model explains 75.5% of the variation in listing prices of residential rental real estate in the 85281 area code.
Date Created
2019-05
Agent

Developing an Educational Manufacturing Simulation

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Description
Simulation games are widely used in engineering education, especially for industrial engineering and operations management. A well-made simulation game aids in achieving learning objectives for students and minimal additional teaching by an instructor. Many simulation games exist for engineering education,…

Simulation games are widely used in engineering education, especially for industrial engineering and operations management. A well-made simulation game aids in achieving learning objectives for students and minimal additional teaching by an instructor. Many simulation games exist for engineering education, but newer technologies now exist that improve the overall experience of developing and using these games. Although current solutions teach concepts adequately, poorly-maintained platforms distract from the key learning objectives, detracting from the value of the activities. A backend framework was created to facilitate an educational, competitive, participatory simulation of a manufacturing system that is intended to be easy to maintain, deploy, and expand.
Date Created
2018-12
Agent

Disability Access and Resource Transportation Scheduler

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Description
At Arizona State University, the Disability Resource Center provides disabled students transportation around campus. This transportation service known as DART is composed of approximately 20 student workers and 9 carts that pick riders up based on pre-determined pick-up times and…

At Arizona State University, the Disability Resource Center provides disabled students transportation around campus. This transportation service known as DART is composed of approximately 20 student workers and 9 carts that pick riders up based on pre-determined pick-up times and locations. With the current system, the scheduling of drivers to riders is inefficient, and in response, a tool was developed to schedule the rides in a faster manner. A demonstration of the new tool resulted in a time reduction of 98%.
Date Created
2018-12
Agent

A Stochastic Airline Staff Scheduling Model with Risk Considerations that Minimizes Costs

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Description
Most staff planning for airline industries are done using point estimates; these do not account for the probabilistic nature of employees not showing up to work, and the airline company risks being under or overstaffed at different times, which increases…

Most staff planning for airline industries are done using point estimates; these do not account for the probabilistic nature of employees not showing up to work, and the airline company risks being under or overstaffed at different times, which increases costs and deteriorates customer service. This model proposes utilizing a stochastic method for American Airlines to schedule their ground crew staff. We developed a stochastic model for scheduling that incorporates the risks of absent employees and as well as reliability so that stakeholders can determine the level of reliability they want to maintain in their system based on the costs. We also incorporated a preferences component to the model in order to increase staff satisfaction in the schedules they get assigned based on their predetermined preferences. Since this is a general staffing model, this can be utilized for an airline crew or virtually any other workforce so long as certain parameters about the population can be determined.
Date Created
2016-05
Agent

Optimal Scheduling of the Refurbishment of Rotable Parts in an Aircraft Maintenance System

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Description
The efficient refurbishment of rotable parts on an aircraft proves to be a main concern for airline carriers today. Airlines must be able to seamlessly rotate parts into and out of the system for maintenance in accordance with FAA requirements…

The efficient refurbishment of rotable parts on an aircraft proves to be a main concern for airline carriers today. Airlines must be able to seamlessly rotate parts into and out of the system for maintenance in accordance with FAA requirements while leaving daily operations uninterrupted. In this paper, we develop an airline maintenance scheduling model that constructs an optimal schedule for part maintenance over a given time horizon using deterministic forecasting techniques. The model generates a schedule that minimizes the total cost of a maintenance schedule solution while maximizing the utility of all parts in the system. The model is then tested against actual network data of three part types crucial to airline operations and used to investigate the current data collection processes of US Airways maintenance lead time metrics. Manual sensitivity analysis is performed to generate the marginal value of each parameter and potential model extensions are highlighted as a result of these conclusions.
Date Created
2013-12
Agent
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