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Analyzing Pain Patterns In Stroke Survivors In Outpatient Clinics: A Retrospective, Cross-Sectional, Observational Study, Deniz Dishman, Catherine Gonzalez, Tia S Thomas, Hari Kishan Indupuru, Seokhun Kim, Charles Green, Anjail Sharrief, Sean I Savitz Jan 2025

Analyzing Pain Patterns In Stroke Survivors In Outpatient Clinics: A Retrospective, Cross-Sectional, Observational Study, Deniz Dishman, Catherine Gonzalez, Tia S Thomas, Hari Kishan Indupuru, Seokhun Kim, Charles Green, Anjail Sharrief, Sean I Savitz

Faculty, Staff and Student Publications

Background: Pain is one of the most common sequelae after a stroke. Yet it is under-recognized, under-treated, and under-investigated, with no standard care guidelines for management during post-stroke recovery.

Purpose: The primary objective of this study was to capture the prevalence of pain and different pain types in stroke survivors.

Patients and methods: The study included stroke survivors who completed a pre-visit telehealth review of systems instrument between March 1, 2020, and February 28, 2022. 442 out-patient subjects were identified and matched to their respective electronic health record from the incident stroke. Subjects were divided into pain and no-pain groups …


Novel Use And Value Of Contrast-Enhanced Susceptibility-Weighted Imaging Morphologic And Radiomic Features In Predicting Extremity Soft Tissue Undifferentiated Pleomorphic Sarcoma Treatment Response, Raul F Valenzuela, Elvis De Jesus Duran Sierra, Mathew A Canjirathinkal, Behrang Amini, Ken-Pin Hwang, Jingfei Ma, Keila E Torres, R Jason Stafford, Wei-Lien Wang, Robert S Benjamin, Andrew J Bishop, John E Madewell, William A Murphy, Colleen M Costelloe Jan 2025

Novel Use And Value Of Contrast-Enhanced Susceptibility-Weighted Imaging Morphologic And Radiomic Features In Predicting Extremity Soft Tissue Undifferentiated Pleomorphic Sarcoma Treatment Response, Raul F Valenzuela, Elvis De Jesus Duran Sierra, Mathew A Canjirathinkal, Behrang Amini, Ken-Pin Hwang, Jingfei Ma, Keila E Torres, R Jason Stafford, Wei-Lien Wang, Robert S Benjamin, Andrew J Bishop, John E Madewell, William A Murphy, Colleen M Costelloe

Faculty, Staff and Student Publications

Purpose: Undifferentiated pleomorphic sarcomas (UPSs) demonstrate therapy-induced hemosiderin deposition, granulation tissue formation, fibrosis, and calcification. We aimed to determine the treatment-assessment value of morphologic tumoral hemorrhage patterns and first- and high-order radiomic features extracted from contrast-enhanced susceptibility-weighted imaging (CE-SWI).

Materials and methods: This retrospective institutional review board-authorized study included 33 patients with extremity UPS with magnetic resonance imaging and resection performed from February 2021 to May 2023. Volumetric tumor segmentation was obtained at baseline, postsystemic chemotherapy (PC), and postradiation therapy (PRT). The pathology-assessed treatment effect (PATE) in surgical specimens separated patients into responders (R; ≥90%, n = 16), partial responders …


Ai/Ml-Empowered Approaches For Predicting T Cell-Mediated Immunity And Beyond, Cheng-Chi Chao, Yulun Chiu, Lucas Yeung, Cassian Yee, Chongming Jiang, Xiling Shen Jan 2025

Ai/Ml-Empowered Approaches For Predicting T Cell-Mediated Immunity And Beyond, Cheng-Chi Chao, Yulun Chiu, Lucas Yeung, Cassian Yee, Chongming Jiang, Xiling Shen

Faculty, Staff and Student Publications

T cells play a dual role in various physiopathological states, capable of eliminating tumors and infected cells, while also playing a pathogenic role when activated by autoantigens, causing self-tissue damage. The regulation of T cell-peptide/major histocompatibility complex (TCR-pMHC) recognition is crucial for maintaining disease balance and treating cancer, infections, and autoimmune diseases. Despite efforts, predictive models of TCR-pMHC specificity are still in the early stages. Inspired by advances in protein structure prediction via deep neural networks, we evaluated AlphaFold 3 (AF3)-based AI computation as a method to predict TCR epitope specificity. We demonstrate that AlphaFold can model TCR-pMHC interactions, distinguishing …


Correction: New Insights Into The Mechanisms Of Electroconvulsive Therapy In Treatment-Resistant Depression, Ana C Ruiz, Abdul Haseeb, William Baumgartner, Edison Leung, Giselli Scaini, Joao Quevedo Jan 2025

Correction: New Insights Into The Mechanisms Of Electroconvulsive Therapy In Treatment-Resistant Depression, Ana C Ruiz, Abdul Haseeb, William Baumgartner, Edison Leung, Giselli Scaini, Joao Quevedo

Faculty, Staff and Student Publications

This corrects the article "New insights into the mechanisms of electroconvulsive therapy in treatment-resistant depression", 1614076.


Knowledge-Based Planning For Fully Automated Radiation Therapy Treatment Planning Of 10 Different Cancer Sites, Christine V Chung, Meena S Khan, Adenike Olanrewaju, Mary Pham, Quyen T Nguyen, Tina Patel, Prajnan Das, Michael S O'Reilly, Valerie K Reed, Anuja Jhingran, Hannah Simonds, Ethan B Ludmir, Karen E Hoffman, Komeela Naidoo, Jeannette Parkes, Ajay Aggarwal, Lauren L Mayo, Shalin J Shah, Chad Tang, Beth M Beadle, Julie Wetter, Gary Walker, Simon Hughes, Vinod Mullassery, Stephen Skett, Christopher Thomas, Lifei Zhang, Son Nguyen, Raymond P Mumme, Raphael J Douglas, Hana Baroudi, Laurence E Court Jan 2025

Knowledge-Based Planning For Fully Automated Radiation Therapy Treatment Planning Of 10 Different Cancer Sites, Christine V Chung, Meena S Khan, Adenike Olanrewaju, Mary Pham, Quyen T Nguyen, Tina Patel, Prajnan Das, Michael S O'Reilly, Valerie K Reed, Anuja Jhingran, Hannah Simonds, Ethan B Ludmir, Karen E Hoffman, Komeela Naidoo, Jeannette Parkes, Ajay Aggarwal, Lauren L Mayo, Shalin J Shah, Chad Tang, Beth M Beadle, Julie Wetter, Gary Walker, Simon Hughes, Vinod Mullassery, Stephen Skett, Christopher Thomas, Lifei Zhang, Son Nguyen, Raymond P Mumme, Raphael J Douglas, Hana Baroudi, Laurence E Court

Faculty, Staff and Student Publications

Purpose: Radiation treatment planning is highly complex and can have significant inter- and intra-planner inconsistency, as well as variability in planning time and plan quality. Knowledge-based planning (KBP) is a tool that can be used to efficiently produce high-quality, consistent, clinically acceptable plans, independent of planner skills and experience. In this study, we created and validated multiple clinically acceptable and fully automatable KBP models, with the goal of creating VMAT plans without user intervention.

Methods: Ten KBP models were configured using high quality clinical plans from a single institution. They were then honed to be part of a fully automatable …


Characterizing Spatial Immune Architecture In Metastatic Melanoma Using High-Dimensional Multiplex Imaging, Joel Eliason, Santhoshi Krishnan, Yasunari Fukuda, Matias A Bustos, Dan Winkowski, Sungnam Cho, Akshay Basi, Regan Baird, Elizabeth A Grimm, Michael A Davies, Dave S B Hoon, Arvind Rao, Jared K Burks, Suhendan Ekmekcioglu Jan 2025

Characterizing Spatial Immune Architecture In Metastatic Melanoma Using High-Dimensional Multiplex Imaging, Joel Eliason, Santhoshi Krishnan, Yasunari Fukuda, Matias A Bustos, Dan Winkowski, Sungnam Cho, Akshay Basi, Regan Baird, Elizabeth A Grimm, Michael A Davies, Dave S B Hoon, Arvind Rao, Jared K Burks, Suhendan Ekmekcioglu

Faculty, Staff and Student Publications

Introduction: Immune checkpoint inhibitors (ICIs) have significantly improved survival for patients with metastatic melanoma, yet many experienceresistance due to immunosuppressive mechanisms within the tumor immune microenvironment (TIME). Understanding how the spatial architecture of immune and inflammatory components changes across disease stages may reveal novel prognostic biomarkers and therapeutic targets.

Methods: We performed high-dimensional spatial profiling of two melanoma tissue microarrays (TMAs), representing Stage III (n = 157) and Stage IV (n = 248) metastatic tumors. Using imaging mass cytometry (IMC) and multiplex immunofluorescence (mIF), we characterized the phenotypic, functional, and spatial properties of the TIME. Cellular neighborhoods were …


Evaluation Of Quantum Contouring Algorithms For Treatment Planning On Mr Abdominal Images, Rachel Glenn, Tucker Netherton, Adrian Celaya, Mohamed Eltaher, Beatrice Riviere, Eugene J Koay, David Fuentes Jan 2025

Evaluation Of Quantum Contouring Algorithms For Treatment Planning On Mr Abdominal Images, Rachel Glenn, Tucker Netherton, Adrian Celaya, Mohamed Eltaher, Beatrice Riviere, Eugene J Koay, David Fuentes

Faculty, Staff and Student Publications

Introduction: Quantum computing is increasingly being investigated for integration into medical radiology and healthcare applications worldwide. Given its potential to enhance clinical care and medical research, there is growing interest in evaluating its practical applications in clinical workflows.

Methods: We developed an evaluation of quantum computing-based auto-contouring methods to introduce medical physicists to this emerging technology. We implemented existing quantum algorithms as prototypes tailored for specific quantum hardware, focusing on their application to auto-contouring in medical imaging. The evaluation was performed using a medical resonance imaging (MRI) abdominal dataset, comprising 102 patient scans.

Results: The quantum algorithms were applied to …


Trauma-Informed Judicial Practice Meets Therapeutic Jurisprudence: Compassionate Written Judgments In Child Protection Cases, Shelley Kierstead Jan 2025

Trauma-Informed Judicial Practice Meets Therapeutic Jurisprudence: Compassionate Written Judgments In Child Protection Cases, Shelley Kierstead

All Papers

Society has become acutely aware that trauma arises from many life events and manifests in a range of physical and psychological symptoms. The legal community is increasingly recognizing that clients living with trauma effects would be much better served with trauma-informed services. While much of the emerging literature in the legal field focuses on lawyers’ work, there is growing recognition that judges can also play a role in responding effectively to trauma.

In child protection cases, trauma frequently exists at different yet related levels – for the child who is the subject of protection proceedings, and for one or more …


An International Law Of The Emotions, Emily Kidd White Jan 2025

An International Law Of The Emotions, Emily Kidd White

All Papers

Talk of the emotional or affective turn in international law is relatively recent though it tracks and echoes several other critical methods movements, including the turn to history, in the study of international law and, so too, a two-decade long wave of law and emotions research in several domestic legal systems. The affective turn in international law in several instances aims to critique a post-Cold War optimism that held out the promise that a rules and reason-based international order would work to abate war, and secure peace, prosperity and efficient capital flows. As outlined by the editors of this volume …


Comparative Effectiveness Of Conservative Versus Early Surgical Treatments On Wound Healing Outcomes Of Diabetic Foot Ulcers: A Literature Review, Paul Tran, Yasim Zafar, Andrea Piña, Stephanie N. Campbell Jan 2025

Comparative Effectiveness Of Conservative Versus Early Surgical Treatments On Wound Healing Outcomes Of Diabetic Foot Ulcers: A Literature Review, Paul Tran, Yasim Zafar, Andrea Piña, Stephanie N. Campbell

School of Podiatric Medicine Publications

Diabetic foot ulcers (DFUs) are a severe complication of diabetes mellitus and the leading cause of lower extremity amputations worldwide. Peripheral neuropathy and peripheral arterial disease secondary to complications of diabetes mellitus may result in ulcers going unnoticed, increasing the risk of severe osteomyelitis, necrotizing infection, hospitalization, amputation, and sepsis. While conservative management of DFUs remains the first-line approach—emphasizing wound care, infection control, glycemic management, and offloading—there is growing debate about whether delaying simple surgical interventions worsens long-term outcomes. Surgeries such as tenotomy, digital amputation, and tendo-Achilles lengthening are minimally invasive options that can correct deformities, prevent recurrence, and promote …


Eulerian Smoke Simulation With Multiple Fields, Diyang Zhang Jan 2025

Eulerian Smoke Simulation With Multiple Fields, Diyang Zhang

Dartmouth College Master’s Theses

Fluid simulation is a cornerstone of computer graphics, enabling the realistic depiction of dynamic phenomena such as smoke, fire, and other gaseous behaviours. This thesis focuses on advancing Eulerian smoke simulation techniques, with a particular emphasis on grid-based simulations that capture intricate vortical structures and fine visual details.

We propose several detail-preserving frameworks that incorporate various scalar and vector fields within the simulation pipeline, including velocity, impulse, and Lamb vectors, along with their decompositions and transformed representations. By mathematically analyzing the properties of impulse, we derive its scalar fields decomposition (ImpSFD), which introduces an alternative numerical interpretation, and Vortex-Particles in …


Floating Signifiers: Ai, Semiotics, And The Crisis Of Meaning In Music, Kehinde Aruwajoye Jan 2025

Floating Signifiers: Ai, Semiotics, And The Crisis Of Meaning In Music, Kehinde Aruwajoye

Dartmouth College Master’s Theses

This thesis examines how AI-generated music disrupts traditional meaning-making processes in musical expression. Through semiotic analysis (Saussure, Peirce) and cultural theory (Hall), I demonstrate how AI produces technically proficient but culturally hollow compositions, what I term "floating signifiers." Case studies reveal AI's inability to replicate the lived experiences that give music its depth, despite accurate stylistic reproductions. The work identifies three fundamental losses: contextual grounding, authentic hybridity, and historical consciousness. I propose ethical frameworks for human-AI collaboration that preserve music's essential humanity while leveraging algorithmic capabilities. Ultimately, this research shifts the debate from technical possibility "Can AI compose?" to cultural …


Motion Planning For A Flexible Modular Raft Robot, Chun-Yi She Jan 2025

Motion Planning For A Flexible Modular Raft Robot, Chun-Yi She

Dartmouth College Master’s Theses

This thesis presents a hierarchical motion planning framework for SoftRafts, a modular and deformable aquatic robot capable of performing locomotion and manipulation tasks on water surfaces. SoftRafts consist of soft and rigid components that enable structural reconfiguration, offering adaptability in unstructured aquatic environments.

To address the complexity of planning in high-dimensional, deformable systems, the proposed method uses a bounding-shape abstraction, specifically, enclosing circles and rectangular bounding boxes to simplify motion planning. These enclosures abstract the robot's overall shape, reducing the high-dimensional planning problem into a lower-dimensional problem. A global planner uses a probabilistic roadmap (PRM) to compute a collision-free path …


Toward General Purpose Llms: From Domain Alignment To Multimodal And Multi-Agent Systems, Thang Nguyen Jan 2025

Toward General Purpose Llms: From Domain Alignment To Multimodal And Multi-Agent Systems, Thang Nguyen

Dartmouth College Master’s Theses

Large Language Models have shown remarkable capabilities, but their generalization across domains, modalities, and collaborative settings remains limited. This work explores how LLMs can be adapted along three dimensions: domain specialization, multimodal processing, and multi-agent reasoning. First, we introduce a reward-guided retrieval mechanism that fine-tunes the retrieval component of a language model using preference-based supervision, improving response relevance in specialized domains. Building on this, we design a multi-agent framework for complex information-seeking tasks, where distinct agents handle query clarification, evidence extraction, and answer synthesis, enabling robust reasoning without additional model training. Extending beyond language, we investigate how LLMs can operate …


Action This Day: The Mathematics And Machinations That Bested The German Enigma, Jonah Weinbaum Jan 2025

Action This Day: The Mathematics And Machinations That Bested The German Enigma, Jonah Weinbaum

Dartmouth College Master’s Theses

This thesis presents a comprehensive and chronological overview of cryptographic techniques designed to break Enigma, beginning in 1932 and culminating in the creation of the Turing-Welchman Bombe. We discuss the mathematical theory and electromechanical implements used to decode one of history's greatest ciphers.

Reexamining the Bombe through the lens of modern group theory, we critique Alan Turing's estimation of the number of "stops" that the Bombe produces for various plaintext-ciphertext pairing structures. To address its limitations, we introduce a new framework for estimating the number of stops by extending John Dixon's theorem concerning the probability that uniformly distributed elements of …


Paleomagnetic Assessment Of The Appekunny And Greyson Fms., Lower Belt Supergroup, Montana, Usa., Olivia C. Moehl Jan 2025

Paleomagnetic Assessment Of The Appekunny And Greyson Fms., Lower Belt Supergroup, Montana, Usa., Olivia C. Moehl

Dartmouth College Master’s Theses

The Belt Supergroup of the northwestern United States is one of the most extensive Mesoproterozoic sedimentary successions in North America. Although certain stratigraphic units have been well studied, correlations across the entire outcrop region remain unresolved. This project uses magnetostratigraphy and lithostratigraphy to investigate a potential lateral equivalency between the 1.4 billion-year-old (Ga) Appekunny Formation (Fm.) in Glacier National Park, MT and the 1.4 Ga Greyson Fm. in the Helena Embayment, MT. Both formations consist predominantly of shallow-water mudstones and contain the only North American occurrences of Horodyskia moniliformis, one of the oldest known macrofossils. Paleomagnetic analyses were conducted on …


Aestheticizing And Engendering Disease: The Case Of Tuberculosis, Abigail Dollries Jan 2025

Aestheticizing And Engendering Disease: The Case Of Tuberculosis, Abigail Dollries

Dartmouth College Master’s Theses

This thesis examines how tuberculosis, known in the nineteenth century as “consumption,” was aestheticized in American cultural and medical discourse, particularly in industrial cities of the North between 1830 and 1850. It addresses the paradox at the heart of the disease’s representation: while tuberculosis was medically pathologized, it was simultaneously romanticized, especially when afflicting elite white women. The central problem explored is how this aestheticization of illness functioned to reinforce gender, class, and racial hierarchies by transforming suffering into a symbol of virtue, refinement, and social status. Using a cultural-historical methodology, this project analyzes a range of sources, including medical …


The Threadbare Saint, Lucas Khoo Jan 2025

The Threadbare Saint, Lucas Khoo

Dartmouth College Master’s Theses

There are roughly 280,000 migrant domestic workers living in Singapore. Many of them come from the Philippines, Myanmar, and Indonesia to work as live-in maids. About 20% of households in Singapore employ domestic workers to assist in household chores and to help care for children and the elderly. Their work is multi-faceted: they are the cooks, the dishwashers, the car-washers, the baby-sitters, the pet groomers, and the laundrymen of many Singaporean households. They play a central role in the domestic lives of thousands of families in Singapore and are undoubtedly a part of the country’s social fabric; nevertheless, they have …


Tiktok V. Anderson, Us Supreme Court Jan 2025

Tiktok V. Anderson, Us Supreme Court

Historical and Topical Legal Documents

APPLICATION TO THE HON. SAMUEL A. ALITO, JR. FOR AN EXTENSION OF TIME WITHIN WHICH TO FILE A PETITION FOR A WRIT OF CERTIORARI TO THE UNITED STATES COURT OF APPEALS FOR THE THIRD CIRCUIT


Doe V. Murphy, District Of South Carolina Jan 2025

Doe V. Murphy, District Of South Carolina

Historical and Topical Legal Documents

No abstract provided.


Ryanair V. Booking.Com, District Of Delaware Jan 2025

Ryanair V. Booking.Com, District Of Delaware

Historical and Topical Legal Documents

No abstract provided.


Hakim-Baba V. Desai Amicus Brief, Nick Emanuel Jan 2025

Hakim-Baba V. Desai Amicus Brief, Nick Emanuel

Historical and Topical Legal Documents

No abstract provided.


Jacki Easlick Llc V. Accencyc Us, Federal Circuit Court Of Appeals Jan 2025

Jacki Easlick Llc V. Accencyc Us, Federal Circuit Court Of Appeals

Historical and Topical Legal Documents

No abstract provided.


Afedo V. Google, Northern District Of California Jan 2025

Afedo V. Google, Northern District Of California

Historical and Topical Legal Documents

No abstract provided.


Psm Holdings V. Tiny Town, Western District Of Washington Jan 2025

Psm Holdings V. Tiny Town, Western District Of Washington

Historical and Topical Legal Documents

No abstract provided.


Bride V. Snap, Central District Of California Jan 2025

Bride V. Snap, Central District Of California

Historical and Topical Legal Documents

No abstract provided.


Google V. Nao, Northern District Of California Jan 2025

Google V. Nao, Northern District Of California

Historical and Topical Legal Documents

No abstract provided.


Netchoice V. Yost, Southern District Of Ohio Jan 2025

Netchoice V. Yost, Southern District Of Ohio

Historical and Topical Legal Documents

No abstract provided.


Angelilli V. Activision Blizzard, Northern District Of Illinois Jan 2025

Angelilli V. Activision Blizzard, Northern District Of Illinois

Historical and Topical Legal Documents

No abstract provided.


People V. Rodriguez, California Court Of Appeals Jan 2025

People V. Rodriguez, California Court Of Appeals

Historical and Topical Legal Documents

No abstract provided.