2923 research outputs found
Sort by
Predicting Box Office Revenues Using Differential Equation Models
Get PDFThe growing popularity of the internet has increased exponentially in the past few decades. This sudden increase in popularity allows for users to gain access to more information than was thought possible in the past, including access to box-office movie revenues of previously released movies. Since we now have access to thousands of movie’s box office revenues, we can analyze some sort of trend within specific genres of movies. With these trends we develop a differential equations model that will predict the box office revenues of a movie that is in its early stages of the box office. This model can be used to see at which time, during the movie’s box office lifespan, would be the best predictor of movie revenue
A Study of Nash Equilibrium in Discrete Cases
Get PDFIn game theory, Nash Equilibrium refers to a set of strategies in a non-cooperative game such that no player can benefit from changing their strategy. This paper examines the payoff matrices of the notable discrete games Battle of the Sexes, Matching Pennies, and The Prisoner’s Dilemma. We then create a custom discrete two player case and determine the pure and mixed strategy Nash Equilibria. After calculating the probabilities for each mixed strategy, we then determine the resulting payoff for each player and show how deviating from that strategy results in a lower payoff
Experimental Investigation of Material Flood Damage to Support Multi-Scale Flood Damage Prediction
Get PDFCurrent practice of flood loss prediction presents limitations in accurately predicting building flood losses at multiple scales. While whole-building estimates can more accurately predict high-level losses (i.e., large groups of buildings), a significant analysis error is revealed with small-scale (i.e., individual, or small groups of buildings) investigation. This research presents a robust, data driven, building damage model seeking to elucidate a more fundamental understanding of flood damage of material components commonly used in residential construction. The framework of the model is based on a component-level damage database composed of data collected from experimental analysis. Structures with standard residential construction materials were built and incrementally flooded for short periods of time. The materials were assessed to determine the level of damage inflicted by the simulated flood events and catalogued based on material restorability. The restorability was determined through indicators such as moisture intrusion, corrosion, and mold contamination. The framework for the flood loss prediction model will be designed to incorporate damage uncertainty and be capable of analysis at multiple scales. This study not only provides a fundamental understanding of material damage, but also develops a more effective modeling tool of building community resilience through flood risk analysis and hazard mitigation planning
A Qualitative Study Identifying Perspectives, Experiences, and Needs of School Principals and Teachers to Lead a Culture of Differentiated Teaching and Learning
Get PDFDifferentiated instruction is defined as providing all students access to the same set of curricula while at the same time providing tasks and instruction tailored to a student’s specific learning style. This expectation has led researchers to study and understand differentiated instruction for embedded applications across all classroom and district experiences, public perceptions, and effective implementation of future trends. However, there is a gap in literature addressed by this study relating to the leadership of differentiated instruction in school settings.
Data for this study were collected from school principals and classroom teachers using both virtual and face-to-face interviews, documented field observations, and a 24- question survey. The study was guided by the theoretical framework of Howard Gardner’s Theory of Multiple Intelligences, specifically because Gardner’s theory served as a lens for the research questions. To garner a leadership perspective and establish the success of institutional change, the study used Armenakis’ Organizational Change Theory. Evidence from interviews as data were triangulated and analyzed by graphing common themes that emerged as data points.
Differentiated instruction is a valuable and helpful technique in achieving districtwide educational goals by considering diverse academic knowledge and backgrounds. It was also stated that through the leadership implementation of differentiated instruction in schools, students become the center of learning leading to the achievement of district goals. Finally, student engagement and overall academic performance throughout the district increase when school systems implement differentiated instruction that focuses on three things for students and classroom success: actual readiness levels, popular interests, and individual learning preferences.
Adhering to the mantra that to grow teachers means to grow students, this research project focused on the leadership of differentiated instruction. Differentiated instruction is an essential yet complex teaching skill that most instructional leaders have not mastered and often feel unprepared to implement. The study produced findings that principals and teachers seem to have a rudimentary understanding of differentiated instruction, but lack depth in their knowledge of differentiation or specifically how to overcome barriers to successfully leading it.
Another finding was that school administrators indicated that one of their most significant challenges with implementing differentiated instruction on their campus is a lack of knowledge by their teachers. Two themes emerged from the interviews with participants that answered these research questions: teachers need support and training, and teachers need time and support to plan for diverse learners and implementation
Statistical Analysis of Home-Field Advantage in European Soccer
Get PDFHome-field advantage in the sports world is commonly known as a huge factor in determining the final score of any sports game. By using a one-tailed, two-sample t-test, I am analyzing how playing at home generally affects a European soccer team’s performance. I am looking at how these performances are affected across three domestic leagues in Europe. I predict that when teams play at home, there will be a significant difference in their win ratio and goals scored
Social Media Usage: Implications on Consumer Well-Being and Maladaptive Behavior
Get PDFSocial media marketing is frequently leveraged due to the amount of time consumers spend on such platforms. However, research within the marketing literature rarely investigates the repercussions that time spent on social media can have on consumer well-being and behavior. Thus, this dissertation explores the effect that actual social media usage (ASMU) can have on consumers and considers the approachesthrough which healthy social media usage could be achieved. More specifically, the relationships within this study are assessed via Structural Equation Model (SEM) and contribute to the literature by exploring: 1) the effect that objective social media usage has on consumer well-being-related factors, 2) the effect that self-esteem, the search for meaning in life, and the presence of meaning in life have on impulse buying, and 3) consumer wisdom moderating the effects of self-esteem, the search for meaning in life, and the presence of meaning in life on impulse buying. The results and implications of this study are discussed accordingly
Dynamics of a Charge Carrier Driven by Oscillating Fields in Materials with Impurities
Get PDFIn conductive materials and semiconductors, a charge carrier under the effects of an electric field will suffer collisions due to thermal fluctuations and impurities in the lattice, altering their trajectory. The electronic properties of these materials depend on the nature and frequency of these collisions; thus, they must be accounted for in any model dealing with electrical conduction. Tracking all collisions individually, while it may be possible within certain limits, forces the model to a large degree of approximation. This work introduces a Monte Carlo-based methodology to electrical transport in Ohmic materials that consists of two parts, the utilization of probability distribution functions (PDFs) for a set of collisions (coarse grain), as opposed to solving the transport equations for individual collisions and the use of homotopies to parameterize PDFs what produces a continuous set of PDFs once a relatively small number of them are explicitly parameterized. With the current approach, simulation times are from a few hundred to a few thousand times smaller than explicitly solving the transport equations. Average collision times are generated from distributions for a set of n collisions (the grain size), and from there, transport properties are calculated. Simulations were used to solve equations of motion based on the Drude’s Model of electrical conductivity. The results of the simulations are then used to generate probability distributions for various combinations of input parameters in order to coarse-grain the transport model. Grain sizes of n=5 and n=50 were considered. A homotopy on start time was first created by evaluating select distribution parameters across a half cycle. An excellent agreement non-coarse grained model was obtained.The electric field was then incorporated into the model parameterization leading to a PDF that, via a homotopy, can generate average collision time for any initial position of the carrier under any electric field within a continuous range). Results were validated using the non-coarse grained simulation under conditions not used for the parametrization for up to 500,000 collisions, with current density values being above 98.9% accurate. The goal of this work was to build a homotopy or mapping that, given some input parameters, could output some transport properties to aid experimental studies. The material of choice for this work was an ideal ohmic conductor with a mean free path of 4.3× 10−9m
Dennis E. Minor Collectioon
Get PDFCollection consists of three framed, signed, and numbered prints by various artists depicting scenes from L. Ron Hubbard stories. This collection also includes a mass-trade paperback, L. Ron Hubbard Presents Writers of the Future in which is contained the short story Old Times There authored by Dr. Minor.https://digitalcommons.latech.edu/manuscript-finding-aids/1443/thumbnail.jp
Factors That Relate to Academic Excellence
Get PDFThe American College Testing (ACT) provides university admissions offices a look into a student’s academic ability so that the university can determine admittance and scholarships. The premise of this study is to see whether this is the most effective way to determine academic ability, using the Logistic Regression Model. The data was collected from October 21, 2021 to December 31, 2021 at Louisiana Tech University. Using the Logistic Regression Model, predictions of academic excellence are obtained based on the parameters outlined in this paper. After the parameters for the Logistic Regression Model are calculated, conclusions can be drawn that the ACT is not an effective predictor of academic excellence