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Full-Text Articles in Engineering

Journal Of Roleplaying Studies And Steam (Jrpssteam) Vol. 2 [2023], (Issue 2)., Ricardo Morales-Carbajal, Cristo Leon, Sarah Lynne Bowman, Ligia-Estefania Estefania Canul-Noh, Vania C. Tovilla, Laura I. Quiroz, Elektra Diakolambrianou Nov 2023

Journal Of Roleplaying Studies And Steam (Jrpssteam) Vol. 2 [2023], (Issue 2)., Ricardo Morales-Carbajal, Cristo Leon, Sarah Lynne Bowman, Ligia-Estefania Estefania Canul-Noh, Vania C. Tovilla, Laura I. Quiroz, Elektra Diakolambrianou

Journal of Roleplaying Studies and STEAM

Editorial

Sangre, sudor, lágrimas y burocracia

Estamos muy contentos con la edición de este tercer número del Journal of Roleplaying Studies and STEAM, en primer lugar porque ¡ya contamos con ISSN!, suena a un logro menor pero debemos considerar los vericuetos burocráticos por los que hemos pasado semana tras semana para lograrlo. En segundo lugar, ¡por fin tenemos un artículo en inglés!, lo cual es motivo de celebración porque además es para nosotros un honor que sea de Elektra Diakolambrianou y Sarah Lynne Bowman, quienes en una gran muestra de confianza enviaron para dictamen su artículo denominado Dual Consciousness: What …


De Las 7 Bolas De Dragón A Los 7 Reinos De Poniente: Viajando Por La Ficción Para Transformar La Realidad, Vania C. Tovilla Nov 2023

De Las 7 Bolas De Dragón A Los 7 Reinos De Poniente: Viajando Por La Ficción Para Transformar La Realidad, Vania C. Tovilla

Journal of Roleplaying Studies and STEAM

resumen

El libro es una muestra de la experiencia y dedicación que tiene Issac Pérez López, quien con más de veinte años de práctica en la creación de entornos lúdicos nos sumerge en una suerte de juego donde al leer sus páginas a través de un lenguaje coloquial y cercano. . a la realidad de los docentes del “Cole” nos ejemplifica y ayuda a comprender un poco más los conceptos y pasos que involucran el término “gamificación”.

Podría ser considerado un libro de autoayuda potenciado (en el buen sentido) para los docentes que se están integrando al mundo de los …


Editorial - Sangre, Sudor, Lágrimas Y Burocracia, Mauricio Rangel Nov 2023

Editorial - Sangre, Sudor, Lágrimas Y Burocracia, Mauricio Rangel

Journal of Roleplaying Studies and STEAM

Estamos muy contentos con la edición de este tercer número del Journal of Roleplaying Studies and STEAM, en primer lugar porque ¡ya contamos con ISSN!, suena a un logro menor pero debemos considerar los vericuetos burocráticos por los que hemos pasado semana tras semana para lograrlo.


Aprendizaje Situado En Mundos Virtuales, Una Experiencia De Participación A Través De Juegos De Rol., Vania C. Tovilla Mgtr. Nov 2023

Aprendizaje Situado En Mundos Virtuales, Una Experiencia De Participación A Través De Juegos De Rol., Vania C. Tovilla Mgtr.

Journal of Roleplaying Studies and STEAM

En tiempos actuales el uso de las tecnologías y la comunicación masiva se hace cada vez más frecuente, ya sea por medio de Internet, los teléfonos inteligentes y otros instrumentos que quizás resignifican el modo en el que los jóvenes en la actualidad conciben términos como virtualidad, aprendiendo y sobre toda la realidad, relacionándose con otros alrededor de todo el mundo. Es quizás por este auge de tecnologías que surgió en el año 2003, la herramienta virtual Second Life ; concebida como un mundo complejo y completamente virtual que permite a los usuarios aprender y vivir en otra realidad como …


Exploring Topological Phonons In Different Length Scales: Microtubules And Acoustic Metamaterials, Ssu-Ying Chen Aug 2023

Exploring Topological Phonons In Different Length Scales: Microtubules And Acoustic Metamaterials, Ssu-Ying Chen

Dissertations

The topological concepts of electronic states have been extended to phononic systems, leading to the prediction of topological phonons in a variety of materials. These phonons play a crucial role in determining material properties such as thermal conductivity, thermoelectricity, superconductivity, and specific heat. The objective of this dissertation is to investigate the role of topological phonons at different length scales.

Firstly, the acoustic resonator properties of tubulin proteins, which form microtubules, will be explored The microtubule has been proposed as an analog of a topological phononic insulator due to its unique properties. One key characteristic of topological materials is the …


Quantifying Balance: Computational And Learning Frameworks For The Characterization Of Balance In Bipedal Systems, Kubra Akbas Aug 2023

Quantifying Balance: Computational And Learning Frameworks For The Characterization Of Balance In Bipedal Systems, Kubra Akbas

Dissertations

In clinical practice and general healthcare settings, the lack of reliable and objective balance and stability assessment metrics hinders the tracking of patient performance progression during rehabilitation; the assessment of bipedal balance plays a crucial role in understanding stability and falls in humans and other bipeds, while providing clinicians important information regarding rehabilitation outcomes. Bipedal balance has often been examined through kinematic or kinetic quantities, such as the Zero Moment Point and Center of Pressure; however, analyzing balance specifically through the body's Center of Mass (COM) state offers a holistic and easily comprehensible view of balance and stability.

Building upon …


Bacterial Motion And Spread In Porous Environments, Yasser Almoteri Aug 2023

Bacterial Motion And Spread In Porous Environments, Yasser Almoteri

Dissertations

Micro-swimmers are ubiquitous in nature from soil and water to mammalian bodies and even many technological processes. Common known examples are microbes such as bacteria, micro-algae and micro-plankton, cells such as spermatozoa and organisms such as nematodes. These swimmers live and have evolved in multiplex environments and complex flows in the presence of other swimmers and types, inert particles and fibers, interfaces and non-trivial confinements and more. Understanding the locomotion and interactions of these individual micro-swimmers in such impure viscous fluids is crucial to understanding the emergent dynamics of such complex systems, and to further enabling us to control and …


Boundary Integral Equation Methods For Superhydrophobic Flow And Integrated Photonics, Kosuke Sugita Aug 2023

Boundary Integral Equation Methods For Superhydrophobic Flow And Integrated Photonics, Kosuke Sugita

Dissertations

This dissertation presents fast integral equation methods (FIEMs) for solving two important problems encountered in practical engineering applications.

The first problem involves the mixed boundary value problem in two-dimensional Stokes flow, which appears commonly in computational fluid mechanics. This problem is particularly relevant to the design of microfluidic devices, especially those involving superhydrophobic (SH) flows over surfaces made of composite solid materials with alternating solid portions, grooves, or air pockets, leading to enhanced slip.

The second problem addresses waveguide devices in two dimensions, governed by the Helmholtz equation with Dirichlet conditions imposed on the boundary. This problem serves as a …


Toward Smart And Efficient Scientific Data Management, Jinzhen Wang Aug 2023

Toward Smart And Efficient Scientific Data Management, Jinzhen Wang

Dissertations

Scientific research generates vast amounts of data, and the scale of data has significantly increased with advancements in scientific applications. To manage this data effectively, lossy data compression techniques are necessary to reduce storage and transmission costs. Nevertheless, the use of lossy compression introduces uncertainties related to its performance. This dissertation aims to answer key questions surrounding lossy data compression, such as how the performance changes, how much reduction can be achieved, and how to optimize these techniques for modern scientific data management workflows.

One of the major challenges in adopting lossy compression techniques is the trade-off between data accuracy …


Data-Driven 2d Materials Discovery For Next-Generation Electronics, Zeyu Zhang Aug 2023

Data-Driven 2d Materials Discovery For Next-Generation Electronics, Zeyu Zhang

Dissertations

The development of material discovery and design has lasted centuries in human history. After the concept of modern chemistry and material science was established, the strategy of material discovery relies on the experiments. Such a strategy becomes expensive and time-consuming with the increasing number of materials nowadays. Therefore, a novel strategy that is faster and more comprehensive is urgently needed. In this dissertation, an experiment-guided material discovery strategy is developed and explained using metal-organic frameworks (MOFs) as instances. The advent of 7r-stacked layered MOFs, which offer electrical conductivity on top of permanent porosity and high surface area, opened up new …


Shared Fantasy: Role-Playing Games As Social Worlds By Gary Alan Fine (2002) [Reseña], Cristo Leon Jun 2023

Shared Fantasy: Role-Playing Games As Social Worlds By Gary Alan Fine (2002) [Reseña], Cristo Leon

Journal of Roleplaying Studies and STEAM

This classic study still provides one of the most acute descriptions available of an often misunderstood subculture: that of fantasy role playing games like Dungeons & Dragons. Gary Alan Fine immerses himself in several different gaming systems, offering insightful details on the nature of the games and the patterns of interaction among players—as well as their reasons for playing.

Este estudio clásico todavía proporciona una de las descripciones más agudas disponibles de una subcultura a menudo incomprendida: la de los juegos de rol de fantasía como Dungeons & Dragons. Gary Alan Fine se sumerge en varios sistemas de juego diferentes …


Editorial - Un Paso A La Vez, Mauricio Rangel Jun 2023

Editorial - Un Paso A La Vez, Mauricio Rangel

Journal of Roleplaying Studies and STEAM

Editorial - Un paso a la vez


Journal Of Roleplaying Studies And Steam (Jrpssteam) Vol. 2 [2023], Issue 1., Cristo Leon, Felipe Ignacio García-Soriano, Francisca Faret Moreno, Daniel S. González Cohens, Daniel Serrano Robles, Daniel Romero Benguigui, Ruben Darío Hernández Mendo Jun 2023

Journal Of Roleplaying Studies And Steam (Jrpssteam) Vol. 2 [2023], Issue 1., Cristo Leon, Felipe Ignacio García-Soriano, Francisca Faret Moreno, Daniel S. González Cohens, Daniel Serrano Robles, Daniel Romero Benguigui, Ruben Darío Hernández Mendo

Journal of Roleplaying Studies and STEAM

Journal of Roleplaying Studies and STEAM (JRPSSTEAM) Vol. 2 [2023], Issue 1.


Importance Of Vegetation In Tsunami Mitigation: Evidence From Large Eddy Simulations With Fluid-Structure Interactions, Abhishek Mukherjee May 2023

Importance Of Vegetation In Tsunami Mitigation: Evidence From Large Eddy Simulations With Fluid-Structure Interactions, Abhishek Mukherjee

Dissertations

Communities worldwide are increasingly interested in nature-based solutions like coastal forests for the mitigation of coastal risks. Still, it remains unclear how much protective benefit vegetation provides, particularly in the limit of highly energetic flows after tsunami impact. The present thesis, using a three-dimensional incompressible computational fluid dynamics model with a fluid-structure interaction approach, aims to quantify how energy reflection and dissipation vary with different degrees of rigidity and vegetation density of a coastal forest.

In this study, tree trunks are represented as cylinders, and the elastic modulus of hardwood trees such as pine or oak is used to characterize …


Earthquake Resistant Buildings, Admin Stem For Success Apr 2023

Earthquake Resistant Buildings, Admin Stem For Success

STEM for Success Showcase

Students learn about earthquakes and engineering by building a structure that can survive an earthquake.


Rubber Band Car Activity, Admin Stem For Success, Natalie Wilson Apr 2023

Rubber Band Car Activity, Admin Stem For Success, Natalie Wilson

STEM for Success Showcase

Student learn about forces and engineering by designing a car powered by rubber bands


Carrier Transport Engineering In Wide Bandgap Semiconductors For Photonic And Memory Device Applications, Ravi Teja Velpula Dec 2022

Carrier Transport Engineering In Wide Bandgap Semiconductors For Photonic And Memory Device Applications, Ravi Teja Velpula

Dissertations

Wide bandgap (WBG) semiconductors play a crucial role in the current solid-state lighting technology. The AlGaN compound semiconductor is widely used for ultraviolet (UV) light-emitting diodes (LEDs), however, the efficiency of these LEDs is largely in a single-digit percentage range due to several factors. Until recently, AlInN alloy has been relatively unexplored, though it holds potential for light-emitters operating in the visible and UV regions. In this dissertation, the first axial AlInN core-shell nanowire UV LEDs operating in the UV-A and UV-B regions with an internal quantum efficiency (IQE) of 52% are demonstrated. Moreover, the light extraction efficiency of this …


Integrated Machine Learning And Optimization Approaches, Dogacan Yilmaz Dec 2022

Integrated Machine Learning And Optimization Approaches, Dogacan Yilmaz

Dissertations

This dissertation focuses on the integration of machine learning and optimization. Specifically, novel machine learning-based frameworks are proposed to help solve a broad range of well-known operations research problems to reduce the solution times. The first study presents a bidirectional Long Short-Term Memory framework to learn optimal solutions to sequential decision-making problems. Computational results show that the framework significantly reduces the solution time of benchmark capacitated lot-sizing problems without much loss in feasibility and optimality. Also, models trained using shorter planning horizons can successfully predict the optimal solution of the instances with longer planning horizons. For the hardest data set, …


Hydrodynamic Investigation Of The Discharge Of Complex Fluids From Dispensing Bottles Using Experimental And Computational Approaches, Baran Teoman Dec 2022

Hydrodynamic Investigation Of The Discharge Of Complex Fluids From Dispensing Bottles Using Experimental And Computational Approaches, Baran Teoman

Dissertations

The discharge of non-Newtonian, complex fluids through orifices of industrial tanks, pipes, dispensers, or packaging containers is a ubiquitous but often problematic process because of the complex rheology of such fluids and the geometry of the containers. This, in turn, reduces the discharge rate and results in residual fluid left in the container, often referred to as heel. Heel formation is undesired in general, since it causes loss of valuable material, container fouling, and cross-contamination between batches. Heel may be of significant concern not only in industrial vessels but also in consumer packaging. Despite its relevance, the research in this …


Bioremediation Of Petroleum Hydrocarbons In Coastal Sediments, Charbel Abou Khalil Dec 2022

Bioremediation Of Petroleum Hydrocarbons In Coastal Sediments, Charbel Abou Khalil

Dissertations

The biodegradation of dispersed crude oil in the ocean is relatively rapid (a half-life of a few weeks). However, it is often much slower on shorelines, usually attributed to low moisture content, nutrient limitation, and higher oil concentrations in beaches than in dispersed plumes. Another factor may be the increased salinity of the upper intertidal and supratidal zones since these parts of the beach are potentially subject to prolonged evaporation and only intermittent inundation. Therefore, two laboratory experiments are conducted to investigate whether such an increase in porewater salinity results in additional inhibitory effects on oil biodegradation in seashores.

In …


Journal Of Roleplaying Studies And Steam (Jrpssteam) Vol. 1 [2022], Issue 1., Cristo Leon, James Lipuma, Ricardo Morales-Carbajal, Miguel A. Bastarrachea-Magnani, Alain Arriaga, Christian Miguel Rudich De La Rosa, Edgar Meritano, Mauricio Rangel Nov 2022

Journal Of Roleplaying Studies And Steam (Jrpssteam) Vol. 1 [2022], Issue 1., Cristo Leon, James Lipuma, Ricardo Morales-Carbajal, Miguel A. Bastarrachea-Magnani, Alain Arriaga, Christian Miguel Rudich De La Rosa, Edgar Meritano, Mauricio Rangel

Journal of Roleplaying Studies and STEAM

Volumen completo del Journal of Roleplaying Studies and STEAM (JRPSSTEAM) Vol. 1 [2022], Issue 1.


Computation Of Risk Measures In Finance And Parallel Real-Time Scheduling, Yajuan Li Aug 2022

Computation Of Risk Measures In Finance And Parallel Real-Time Scheduling, Yajuan Li

Dissertations

Many application areas employ various risk measures, such as a quantile, to assess risks. For example, in finance, risk managers employ a quantile to help determine appropriate levels of capital needed to be able to absorb (with high probability) large unexpected losses in credit portfolios comprising loans, bonds, and other financial instruments subject to default. This dissertation discusses the computation of risk measures in finance and parallel real-time scheduling.

Firstly, two estimation approaches are compared for one risk measure, a quantile, via randomized quasi-Monte Carlo (RQMC) in an asymptotic setting where the number of randomizations for RQMC grows large, but …


Performance Analysis Of The Dominant Mode Rejection Beamformer, Enlong Hu Aug 2022

Performance Analysis Of The Dominant Mode Rejection Beamformer, Enlong Hu

Dissertations

In array signal processing over challenging environments, due to the non-stationarity nature of data, it is difficult to obtain enough number of data snapshots to construct an adaptive beamformer (ABF) for detecting weak signal embedded in strong interferences. One type of adaptive method targeting for such applications is the dominant mode rejection (DMR) method, which uses a reshaped eigen-decomposition of sample covariance matrix (SCM) to define a subspace containing the dominant interferers to be rejected, thereby allowing it to detect weak signal in the presence of strong interferences. The DMR weight vector takes a form similar to the adaptive minimum …


Low-Reynolds-Number Locomotion Via Reinforcement Learning, Yuexin Liu Aug 2022

Low-Reynolds-Number Locomotion Via Reinforcement Learning, Yuexin Liu

Dissertations

This dissertation summarizes computational results from applying reinforcement learning and deep neural network to the designs of artificial microswimmers in the inertialess regime, where the viscous dissipation in the surrounding fluid environment dominates and the swimmer’s inertia is completely negligible. In particular, works in this dissertation consist of four interrelated studies of the design of microswimmers for different tasks: (1) a one-dimensional microswimmer in free-space that moves towards the target via translation, (2) a one-dimensional microswimmer in a periodic domain that rotates to reach the target, (3) a two-dimensional microswimmer that switches gaits to navigate to the designated targets in …


Coupled Oscillators: Protein And Acoustics, Angelique N. Mcfarlane Aug 2022

Coupled Oscillators: Protein And Acoustics, Angelique N. Mcfarlane

Theses

This work encompassed three different vibrational energy transfer studies of coupled resonators (metal, topological, and microtubule comparison) inspired by the lattices of microtubules from regular and cancerous cells. COMSOL Multiphysics 5.4 was utilized to design the experiment. The simulation starts with an acoustic pressure study to examine the vibrational modes present in coupled cylinders, representing α-, β-tubulin heterodimers. The Metal Study consisted of 3 models (monomer, dimer, and trimer) to choose the correct height (40 mm) and mode (Mode 1) for study. The Topological Study was run to predict and understand how the lattice structure changes over a parametric sweep …


One-Stage Blind Source Separation Via A Sparse Autoencoder Framework, Jason Anthony Dabin May 2022

One-Stage Blind Source Separation Via A Sparse Autoencoder Framework, Jason Anthony Dabin

Dissertations

Blind source separation (BSS) is the process of recovering individual source transmissions from a received mixture of co-channel signals without a priori knowledge of the channel mixing matrix or transmitted source signals. The received co-channel composite signal is considered to be captured across an antenna array or sensor network and is assumed to contain sparse transmissions, as users are active and inactive aperiodically over time. An unsupervised machine learning approach using an artificial feedforward neural network sparse autoencoder with one hidden layer is formulated for blindly recovering the channel matrix and source activity of co-channel transmissions. The BSS sparse autoencoder …


Planning Methodology For Alternative Intersection Design And Selection, Liran Chen May 2022

Planning Methodology For Alternative Intersection Design And Selection, Liran Chen

Dissertations

The recent publication of the 6th Edition of the Highway Capacity Manual included a chapter on Ramp Terminals and Alternative Intersections that introduces various alternative intersection designs and assesses the performance of Median U-turn, Restricted crossing U-turn and Displaced left-turn intersections. Missing from the literature is an alternative intersection selection tool for identifying whether an alternative intersection would be successful under local conditions. With limited information of organized alternative intersection research, most planners must rely heavily on their personal judgement while selecting the most suitable intersection designs. As appealing as alternative intersections are, there is no comprehensive methodology for planners …


Nondestructive Evaluation Of 3d Printed, Extruded, And Natural Polymer Structures Using Terahertz Spectroscopy And Imaging, Alexander T. Clark May 2022

Nondestructive Evaluation Of 3d Printed, Extruded, And Natural Polymer Structures Using Terahertz Spectroscopy And Imaging, Alexander T. Clark

Dissertations

Terahertz (THz) spectroscopy and imaging are considered for the nondestructive evaluation (NDE) of various three-dimensional (3D) printed, extruded, and natural polymer structures. THz radiation is the prime candidate for many NDE challenges due to the added benefits of safety, increased contrast and depth resolution, and optical characteristic visualization when compared to other techniques. THz imaging, using a wide bandwidth pulse-based system, can evaluate the external and internal structure of most nonconductive and nonpolar materials without any permanent effects. NDE images can be created based on THz pulse attributes or a material’s spectroscopic characteristics such as refractive index, attenuation coefficient, or …


Investigation Of Topological Phonons In Acoustic Metamaterials, Wenting Cheng May 2022

Investigation Of Topological Phonons In Acoustic Metamaterials, Wenting Cheng

Dissertations

Topological acoustics is a recent and intense area of research. It merges the knowledge of mathematical topology, condensed matter physics, and acoustics. At the same time, it has been pointed out that quasiperiodicity can greatly enhance the periodic table of topological systems. Because quasiperiodic patterns have an intrinsic global degree of freedom, which exists in the topological space called the hull of a pattern, where the shape traced in this topological space is called the phason. The hull augments the physical space, which opens a door to the physics of the integer quantum Hall effect (IQHE) in arbitrary dimensions. In …


A Self-Learning Intersection Control System For Connected And Automated Vehicles, Ardeshir Mirbakhsh May 2022

A Self-Learning Intersection Control System For Connected And Automated Vehicles, Ardeshir Mirbakhsh

Dissertations

This study proposes a Decentralized Sparse Coordination Learning System (DSCLS) based on Deep Reinforcement Learning (DRL) to control intersections under the Connected and Automated Vehicles (CAVs) environment. In this approach, roadway sections are divided into small areas; vehicles try to reserve their desired area ahead of time, based on having a common desired area with other CAVs; the vehicles would be in an independent or coordinated state. Individual CAVs are set accountable for decision-making at each step in both coordinated and independent states. In the training process, CAVs learn to minimize the overall delay at the intersection. Due to the …