223 Works

Metacognitive Knowledge of Preferences in High-Stakes Personal Decisions

Trent Cash & Daniel Oppenheimer
In this project, we seek to generalize research on decision makers' metacognitive knowledge of their preferences (or rather, lack thereof) to high-stakes decisions, such as school choice.

Buffering of Communal Coping on Effects of Racism on Health: A Daily Diary Study

Vicki Helgeson & Fiona Horner
This is a daily diary study of college students to examine the links of daily racism to health and the extent to which communal coping moderates that relation.

Buffering of Communal Coping on Effects of Racism on Health: A Daily Diary Study

Vicki Helgeson & Fiona Horner

The Sorting Property of Memory Consolidation - Memory for Personal Events

Daniel Connolly & George Loewenstein
We investigate how the consolidation of episodic memory sorts the importance of aspects of the episode. This study uses an experiment to study memory for recent personal events in participants' lives.

DBSL Delay S1

Jenah Black, Nazbanou Nozari & Lori Holt
The effect of dimension-based statistical learning (DBSL) on the perception of ambiguous linguistic stimuli is well-documented. However, the degree of maintenance of this effect over time is unclear. This study aims to determine the robustness of DSBL under different delay conditions. Rapid degradation of DBSL would suggest that the down-weighting induced by the exposure sounds are short lived. However, a long-lasting effect would suggest down-weighting is the result of robust learning.

GIS Level 1: Introduction to GIS & Mapping_murack

Jennie Murack, Emma Slayton, Lena Denis & Amanda Tickner

How biased are listeners towards second language speech? A replication and extension

Seth Wiener
This study seeks to replicate Reid, Trofimovich, and O'Brien’s “Social attitudes and speech ratings: Effects of positive and negative bias on multiage listeners’ judgments of second language speech” (2019). Reid et al. told a brief anecdote to the listener about positive (or negative) aspects of second language (L2) speech prior to an L2 speech rating task. In the task, listeners heard speech from L1 Québecois French speakers of L2 English and rated the speech in...

Designing Interpersonal Intelligence and Ownership Models for Social Agents

Michal Luria
This doctoral thesis investigates how intelligent personal agents and social robots should be designed to behave and interact in social environments. Fifty million Americans now own smart speakers, and over 40% use chatbots regularly. These agents are gaining access to people’s personal information, and they need increasingly sophisticated rules on how to behave and how to both share and protect personal information. Yet, at the moment, they are designed as one-on-one devices (one agent and...

Designing Interpersonal Intelligence and Ownership Models for Social Agents

Michal Luria
This doctoral thesis investigates how intelligent personal agents and social robots should be designed to behave and interact in social environments. Fifty million Americans now own smart speakers, and over 40% use chatbots regularly. These agents are gaining access to people’s personal information, and they need increasingly sophisticated rules on how to behave and how to both share and protect personal information. Yet, at the moment, they are designed as one-on-one devices (one agent and...

Growth Optimization in Stochastic Portfolio Theory with Applications to Robust Finance and Open Markets

David Itkin
Stochastic portfolio theory (SPT) is a financial framework with a large number d of stocks and the goal of modelling equity markets over long time horizons. This thesis concerns the study of growth optimization problems in the context of SPT in robust and constrained settings. In Part I of the thesis we consider the problem of maximizing the asymptotic growth rate of an investor under drift uncertainty. As in the work of Kardaras and Robertson...

Convergence problems in nonlocal dynamics with nonlinearity

Won Eui Hong
We study nonlocal nonlinear dynamical systems and uncover the gradient structure to investigate the convergence of solutions. Mainly but not exclusively, we use the Lojasiewicz inequality to prove convergence results in various spaces with continuous, or discrete temporal domain, and finite, or infinite dimensional spatial domain. To be more specific, we analyze Lotka-Volterra type dynamics and concentration-dispersion dynamics. Lotka-Volterra equations describe the population dynamics of a group of species, in which individuals interact either competitively...

Code4Lib Poster - Applying Photogrammetry to Library Collections

Ann Mesco
This poster will demonstrate the steps that CMU Libraries’ Digitization Lab has taken to integrate 3-D rendering into its workflow and how we are preparing to offer this new digital service—including workshops in conjunction with Digital Humanities—to the greater campus community.

Advances in near-field High Energy Diffraction Microscopy (nf-HEDM) with an Application to Recrystallization in AM 316L Stainless Steel

He Liu
High-energy X-ray diffraction techniques can image 3-D microstructures of poly crystalline materials, bringing new insights into manufacturing and modeling. This thesis focuses on the technical aspects of High Energy Diffraction Microscopy (HEDM) development and a novel application to additive manufacturing (AM) materials. We first introduce the algorithm and implementation details of the GPU-accelerated third-generation HEDM reconstruction software HEXOMAP. The significant in crease in reconstruction speed is crucial in making HEDM more accessible to re searchers....

Liberal Arts Football: Athletics, Academics, and American Higher Education, 1906-1948

Bennett Koerber
This dissertation argues that from 1906-1948, a group of reform-minded educators attempted to reshape intercollegiate athletics by implementing an ideal that I call liberal arts football – a restructured version of the sport that was intracurricular rather than extracurricular, inclusive rather than exclusive, and scholastic rather than ritualistic. Reformers aimed to reposition the sport so that it became part of their physical education department curriculums. With the extracurricular label removed, they promoted intercollegiate football as...

CEOS Ocean Variable Enabling Research & Applications for GEO (COVERAGE): A Platform to Simplify and Expand the Accessibility and Usage of Inter-agency Satellite and in-situ Oceanographic Data

Vardis Tsontos, Jorge Vazquez, Joe T. Roberts, Joseph C. Jacob, Thomas Huang, Flynn Platt, Mike Chin & Vaishnavi Yathirajam
Preprint of IEEE Oceans 2022 Conference Proceedings paper. Given the growing variety and volume of oceanographic observations, there is a need for data systems and services supplementing existing agency repository infrastructures to enable simpler access and synergistic use of multidisciplinary ocean data. The availability of a set of core software capabilities and data that can be reused, augmented, and scaled efficiently to support a wide range of regional use cases is also a related need....

CEOS Ocean Variable Enabling Research & Applications for GEO (COVERAGE): A Platform to Simplify and Expand the Accessibility and Usage of Inter-agency Satellite and in-situ Oceanographic Data

Vardis Tsontos, Jorge Vazquez, Joe T. Roberts, Joseph C. Jacob, Thomas Huang, Flynn Platt, Mike Chin & Vaishnavi Yathirajam
Preprint of IEEE Oceans 2022 Conference Proceedings paper. Given the growing variety and volume of oceanographic observations, there is a need for data systems and services supplementing existing agency repository infrastructures to enable simpler access and synergistic use of multidisciplinary ocean data. The availability of a set of core software capabilities and data that can be reused, augmented, and scaled efficiently to support a wide range of regional use cases is also a related need....

Understanding and Designing Mechanisms for Attracting and Retaining Open-Source Software Contributors

Huilian Qiu
Open-source software (OSS) is now ubiquitous and indispensable, supporting applications in virtually every domain. Therefore, sustaining this digital infrastructure is of utmost societal importance. One of the significant challenges in OSS sustainability is its low gender diversity. It is a well-known fact that the open-source software community is heavily skewed towards men. A low gender diversity environment is non-inclusive to non-male people. Women are one of the under-represented groups, taking up at most 10% of...

Bridging Deep Learning and Electric Power Systems

Priya Donti
Climate change is one of the most pressing issues of our time, requiring the rapid mobilization of many tools and approaches from across society. Machine learning has been proposed as one such tool, with the potential to supplement and strengthen existing climate change efforts. In this thesis, we provide several directions for the principled design and use of machine-learning-based methods (with a particular focus on deep learning) to address climate-relevant problems in the electric power...

Cyber-Forces, Interactions, Terrain: An agent-based framework for simulating cyber team performance

Geoffrey Dobson
Over the past decade, militaries all over the world have declared cyberspace a domain of war. This has led to the professionalization of cyber teams in combat arms. These cyber teams must understand how they control, defend, and maneuver within this new domain, cyberspace. Moreover, commanders must train and equip the cyber teams to be successful with clear expectations of tasking and success criteria. The definition of success, for cyber team performance, continues to be...

Topics in Extremal Structures and Random Graphs

Mihir Abhay Hasabnis
We mainly studied several problems in random graphs. Random graphs is one of the biggest fields in Probabilistic combinatorics with applications to various fields in Mathematics and Computer Science. We will look at a variety of problems in this area such as the Game Chromatic Number for Hypergraphs, Rainbow matching, Colorful Hamiltonian Cycles and Random Graph Isomorphism. Extremal combinatorics studies how large or how small a collection of finite objects can be, if it has...

Control Input and Natural Gaze for Goal Prediction in Shared Control

Reuben Aronson
Teleoperated systems are used widely in deployed robots today, for such tasks as space exploration, disaster recovery, or assisted manipulation. However, teleoperated systems are difficult to control, especially when performing high-dimensional, contact-rich tasks like manipulation. One approach to ease teleoperated manipulation is shared control; this strategy combines the user’s direct control input with an autonomous plan to achieve the user’s goal, thereby speeding up tasks and reducing user effort. To do so, the system needs...

A New Toolbox for Scheduling Theory

Ziv Scully
Queueing delays are ubiquitous in many domains, including computer systems, service systems, communication networks, supply chains, and transportation. Queueing and scheduling theory provide a rigorous basis for understanding how to reduce delays with scheduling, including evaluating policy performance and guiding policy design. Unfortunately, state-of-the-art theory fails to address many practical concerns. For example, scheduling theory seldom treats nontrivial preemption limitations, and there is very little theory for scheduling in multiserver queues.
We present two...

Efficient and Scalable Parallel Functional Programming Through Disentanglement

Samuel Westrick
Researchers have argued for decades that functional programming simplifies parallel programming, in particular by helping programmers avoid dificult concurrency bugs arising from destructive in-place updates. However, parallel functional programs have historically underperformed in comparison to parallel programs written in lower-level languages. The dificulty is that functional languages have high demand for memory, and this demand only grows with parallelism, causing traditional parallel memory management techniques to buckle under the increased pressure. In this thesis, we...

Efficient and Scalable Parallel Functional Programming Through Disentanglement

Samuel Westrick
Researchers have argued for decades that functional programming simplifies parallel programming, in particular by helping programmers avoid dificult concurrency bugs arising from destructive in-place updates. However, parallel functional programs have historically underperformed in comparison to parallel programs written in lower-level languages. The dificulty is that functional languages have high demand for memory, and this demand only grows with parallelism, causing traditional parallel memory management techniques to buckle under the increased pressure. In this thesis, we...

Essays on Macroeconomic Policy

Xuege Zhang
What is the role of the government in a market economy? Chapter 1 studies a market failure. I document a fact that in the United States over the past forty years, new business formation has concentrated in large cities. I develop a continuum geographic model where business formations endogenously occur in heterogeneous cities based on ex ante firm productivity. I show that changes in externalities can generate the spatial firm dynamism. Chapter 2 (joint with...

Registration Year

  • 2022
    223

Resource Types

  • Text
    223

Affiliations

  • Carnegie Mellon University
    223
  • Shanghai University
    12
  • West China Hospital of Sichuan University
    12
  • Zhejiang University
    12
  • Second Affiliated Hospital of Guangzhou Medical University
    12
  • Chengdu Third People's Hospital
    12
  • Wenzhou Medical University
    12
  • Ruijin Hospital
    12
  • Shanghai Jiao Tong University
    12
  • Affiliated Hospital of Qingdao University
    12