Digital Commons Network^™

Minimum Resale Price Maintenance In The Absence Of Point-Of-Sale Service, Agency Or Free-Rider Problems, Michael R. Baye, Dan Kovenock, Casper De Vries

ESI Working Papers

We show that MRPM can increase manufacturer profits and total output even in the ab- sence of traditional justifications based on point-of-sale services, retailer effort, or free-riding. The key insight is that MRPM mitigates channel conflict by altering how retailers balance extracting surplus from loyal customers and competing for price-sensitive shoppers. When a manufacturer optimally chooses a wholesale price and MRPM policy, this can intensify com- petition and create systematic distributional effects: prices fall for loyal consumers but rise for shoppers, and the profits of smaller, shopper-dependent retailers decline. We characterize the conditions under which MRPM raises output, benefits a …

Building Reputation: State-Sponsored Rebellions And Transnational Identities, Marion Mercier, Arthur Silve, Benjamin Tremblay-Auger

ESI Working Papers

States sometimes back rebellions abroad to signal resolve. We study this reputation-building logic in international relations, focusing on co-ethnic links between countries as an objective source of variation in a state’s incentives to demonstrate resolve. We formally derive two interconnected predictions from the mechanism: (a) a state is more likely to endorse the uprising of a foreign group when facing a larger audience, resulting in (b) greater political inclusion for the group. We build a comprehensive panel dataset of co-ethnic rebellion sponsorship, and find evidence consistent with both predictions.

Relationship Between Quantitative Mri Ute T2* Of Acl Autografts And Bmi-Normalized Knee Laxity Within The First Year After Acl Reconstruction, Alonso Figueroa, Tomasz Bugajski, Dillon Humpal, Manickam Kumaravel, Walter Lowe, Payam Zandiyeh

Faculty, Staff and Student Publications

Background: The anterior cruciate ligament reconstruction (ACLR) graft undergoes a remodeling process that affects its structural properties. Ultrashort echo time T2* (UTE-T2*) imaging has been instrumental in examining this process. However, more research is needed on the postoperative relationship between UTE-T2* of the graft and its mechanical properties.

Purpose: To longitudinally examine ACL graft changes after ACLR using UTE-T2* decay coefficients and knee laxity and explore their relationship.

Study design: Case series; Level of evidence, 4.

Methods: A total of 31 patients who underwent ACLR had magnetic resonance imaging of their knees at 1, 6, and 12 months after surgery …

Iron Deficiency Anemia Is Associated With Depressive Symptoms In Adolescents With Heavy Menstrual Bleeding, Ramya Ramakrishnan, Hansa Boddu, Kaleigh Riggs-Harpur, Lakshmi V Srivaths, Asha Davidson, Rebecca M Beyda, Neethu M Menon

Faculty, Staff and Student Publications

Background: Heavy menstrual bleeding (HMB) and associated iron deficiency (ID) with anemia (IDA) or without anemia lead to adverse health outcomes for adolescents.

Objectives: This descriptive study aimed to assess the association between ID/IDA and depressive symptoms, as measured by Patient Health Questionnaire (PHQ)-9 scores, among adolescents with HMB.

Methods: This is a single-center retrospective records review of adolescents with physician-documented HMB and at least 1 PHQ-9 score, evaluated in a specialty clinic. With ID defined as ferritin of < 25 ng/dL and IDA as hemoglobin (Hgb) of < 12 g/dL, univariate and multivariate statistical models were used to compare ID/IDA with PHQ-9 scores cross-sectionally and longitudinally. We hypothesized that the incidence of PHQ-9 scores of ≥10 would be higher among patients with ID/IDA than that in those without.

Results: Among 123 adolescents with HMB, 90 had ID and 61 had IDA; 37% of those with ID (33/90) and 51% …

Lesion Absorbed Dose-Response Relationship In Patients With Metastatic Castration-Resistant Prostate Cancer Undergoing [177lu]Lu-Psma-617 Radiopharmaceutical Therapy, Milan Grkovski, Simone S Krebs, Joseph A O'Donoghue, Jonathan Kuten, Audrey Mauguen, Parnian Shobeiri, Daniel Lafontaine, Maria Thor, Finn Augensen, Josef J Fox, Neeta Pandit-Taskar, Mark P Dunphy, Lisa Bodei, John L Humm, Heiko Schöder

Faculty, Staff and Student Publications

The relationship between lesion absorbed dose (AD) and response in patients with metastatic castration-resistant prostate cancer undergoing [177Lu]Lu-PSMA-617 radiopharmaceutical therapy (RPT) remains poorly understood. The objective of this work was to investigate the AD-response relationship at both the patient and lesion levels.

Methods: Sixty-five patients underwent serial SPECT/CT imaging after receiving 7.31 ± 0.27 GBq of [177Lu]Lu-PSMA-617. Single-time-point (STP) (Hänscheid approximation at 72 h) and multiple-time-point voxelwise dosimetry were performed. Patient response was evaluated by changes in serum prostate-specific antigen level before and after cycle 1 of RPT. The response of individual lesions was evaluated by the change in the …

Pka-Driven Spp1 Activation As A Novel Mechanism Connecting The Bone Microenvironment To Prostate Cancer Progression, Pablo Sanchis, Agustina Sabater, Julia Lechuga, Jimena Rada, Rocio Seniuk, Gaston Pascual, Mora Gatti, Juan Bizzotto, Peter D A Shepherd, Jun Yang, Javier Cotignola, Elba Vazquez, Joaquin Mateo, Pia Valacco, Estefania Labanca, Christopher Logothetis, Geraldine Gueron, Nicolas Anselmino

Faculty, Staff and Student Publications

Prostate cancer (PCa) bone metastasis (BM) poses a significant clinical challenge due to the heterogeneity of treatment responses and patient outcomes. In this study, we examined the role of Protein Kinase A (PKA) signaling in modulating the expression of osteopontin (SPP1/OPN), a protein associated with poor prognosis, within a subset of PCa BM patients. By integrating multi-omics results we identified a novel mechanism in which bone-derived type-I collagen (Col1a1) and fibronectin (Fn1) stimulate SPP1 expression in PCa cells through the activation of PKA signaling. This bone-induced regulation of SPP1 was confirmed both in vitro, using PCa-bone co-culture systems (PC3 or …

Alterations In Region-Specific Gray Matter Volume Underlying Callous Unemotional Traits In Adolescents, Johannah Bashford-Largo, Ru Zhang, R James R Blair, Karina S Blair, Jaimie Elowsky, Matthew Dobbertin, Ahria J Dominguez, Melissa Hatch, Tyler Patrick, Sahil Bajaj

Faculty, Staff and Student Publications

Background: Callous-unemotional (CU) traits during adolescence, for example, shallow affect or lack of remorse, have been shown to be a risk marker for antisocial behavior. Only a few studies have investigated structural brain alterations underlying CU traits, and findings are inconclusive. The study examines CU symptomatology and gray matter volume (GMV) associations.

Methods: Structural brain MRI data were collected from a sample of 578 adolescents (60% male) with a mean age of 14.85 years (SD = 2.30; range = 10-19 years). CU traits were indexed via the Inventory for Callous Unemotional Traits (ICU). Region-wise volumetric parameters were obtained following parcellation …

Outcomes Of Adult Patients With Newly Diagnosed Idh-Mutated Aml Treated With Intensive Chemotherapy And Venetoclax, Jennifer Croden, Wei-Ying Jen, Jennifer Marvin-Peek, Lianchun Xiao, Ian M Bouligny, Sanam Loghavi, Gautam Borthakur, Naval G Daver, Hussein A Abbas, Koichi Takahashi, Koji Sasaki, Naveen Pemmaraju, Nicholas J Short, Danielle Hammond, Elias Jabbour, Lucia Masarova, Kelly S Chien, Ghayas C Issa, Guillermo Montalban-Bravo, Musa Yilmaz, Abhishek Maiti, Yesid Alvarado-Valero, Guillermo Garcia-Manero, Farhad Ravandi, Marina Y Konopleva, Hagop M Kantarjian, Tapan M Kadia, Courtney D Dinardo

Faculty, Staff and Student Publications

No abstract provided.

From Nociception In Aneural Animals To Human Suffering: Toward A Comparative Biology Of Pain, Edgar T Walters

Faculty, Staff and Student Publications

Pain is a core feature of human life, but systematic comparisons of this biological trait across taxa have been rare. A broadly accepted definition based on human experience emphasizes dual features of pain: a sensory (discriminative) component for sensing and monitoring tissue injury, and an affective (emotional) component to motivate avoidance of tissue distress. Conscious pain is coupled to unconscious nociception (detection of incipient or existing injury). This Review considers nociception and pain across phyla within a comparative framework, addressing basic questions about evolutionary origins, mechanisms and functions of pain. The occurrence of adaptive cellular responses to injury in virtually …

Frameworks And Life Cycle Assessment For Reinforced Concrete Bridges For Sustainability In Transportation, Yu-Fu Ko, Jessica Gonzalez

Mineta Transportation Institute

Bridge structures are critical components of California’s transportation network, with reinforced concrete (RC) bridges being among the most widely used. Extending the lifespan of these structures can lead to significant reductions in environmental impacts. However, California’s frequent seismic activity has repeatedly exposed the vulnerability of existing RC bridges, highlighting the urgent need for seismic retrofitting and maintenance to improve infrastructure resilience against earthquakes and to increase sustainability. This research used detailed computer simulations known as nonlinear finite element models, which are highly detailed computer models, incorporating section damage indices to predict damage and assess structural deficiencies in RC bridges during …

A Holistic Inquiry Of Intelligent Speed-Assist Technology: Safety Impacts, Technology Implementation, And Challenges, Sahar Ghanipoor Machiani, Nusheen Baradaran, Arash Jahangiri

Mineta Transportation Institute

Speeding is a leading contributor to roadway fatalities in the United States, and California consistently ranks among states with the highest number of speed-related crashes. Intelligent Speed Assistance (ISA) technology has emerged as a solution aimed at mitigating this issue by notifying drivers of speed limits and, in some cases, intervening and lowering the speed to the posted speed limit. This work presents a comprehensive investigation into ISA system safety benefits, implementation challenges, and public perception, with a focus on California drivers. This study utilized a multi-method approach. A literature review explores the history, regulatory barriers, and international trails of …

Mems 4110: Asme Waste Collection Challenge, Evelyn Madrigal, Letty Patino, Bing Ling, Michael Avaliani

Mechanical Engineering Design Project Class

Make a remote-controlled vehicle that can traverse the course below (obeying traffic laws), collect garbage units from collection bins and deliver the garbage units to a receptacle.

Mems 4110: N1 Precise Water Distribution System, Lillian Salter, Ye Huang, Elaine Wang, Joy Luo

Mechanical Engineering Design Project Class

The aim of the project is to construct a precise water distribution system for anthropology graduate student Christina Youngpeter, who is studying the impact of hydration levels on the growth of quinoa plants. As her experiment grows in scale, she increasingly needs a system that can measure and distribute water for her, saving hours otherwise spent meticulously measuring water for 36 plants and counting. The system must measure water accurately and distribute it to the plants cleanly and efficiently. It should also be scalable and autonomous, requiring minimal human intervention.

Mems 4110: Asme Garbage Collection Challenge, Johnny F. Malley Iii, Sam R. Waggoner, Kyler R. Kosanke, Oliver N. Stitt

Mechanical Engineering Design Project Class

The AY25-26 ASME Student Design Competition (SDC) is inspired by the global issue of recycling and waste collection management. Garbage and recycling are, in many instances, collected at the curb or roadside, where residents and/or business establishments place their garbage and recyclables in designated containers for pickup by local waste management companies or municipalities. In some areas around the world, waste collection is a challenge to establish due to variations in terrains and storage locale/capacity. In some instances, waste management companies might utilize a single vehicle that separates materials during the collection process to minimize the number of required vehicles …

Mems 4110: Asme Waste Collection Challenge, Theo A. Mass, Grant Kaplan, Emanoeel Ghabrial, Joseph Gillett

Mechanical Engineering Design Project Class

The Efficient Jolley Trash Grabber (EJTG) is a teleoperated vehicle adherent to the modified rules of the 2025-26 ASME Student Design Competition, hosted in MEMS 4110: Mechanical Engineering Design Project. The vehicle design was informed first by understanding the problem of waste collection. Patents, existing devices, user needs, and relevant codes and standards were reviewed to survey potential design approaches. The concept for the vehicle was generated by setting functionality, and brainstorming solutions to accomplish each goal. A mock-up vehicle was created using available materials, and four complete concepts were drawn each with a different design. Rigorous methods were used …

Mems 4110: Conservation Of Angular Momentum Demo, Matthew Brouillet, Iyanu Akinyemi, Mingxuan Bi, Matthew Gimbel

Mechanical Engineering Design Project Class

A demo was built to serve as a hands-on experience for reinforcing concepts behind the conservation of angular momentum.

Mems 4110: Parachute Snatch Force Tester, Adam Mallalieu, Ethan Riak, Jackson Shurman, Ryan Schmadtke

Mechanical Engineering Design Project Class

This report discusses the design, development, and testing of a parachute snatch force tester for MEMS 411 Senior Design. The device is for the WURocketry Team, and aims to measure the peak force exerted on the rocket bulkhead during parachute ejection. This peak force is known as the snatch force, and is incredibly important when it comes to maintaining safety, improving performance, and material selection during the rocket’s production process. Current methods for testing and recording this snatch force are limited, so our team aimed to create a simple and cost effective solution. Our design utilizes a vertical support that …

Mems 4110: Asme Challenge, Jon Cossman, Jonathan Young, Nate Nowel

Mechanical Engineering Design Project Class

The goal of this project was to design and assemble a remote controlled device for a competition that can maneuver through a course, collect trash units from 3D-printed trash bins, and bring them to a receptacle at the end of the course. Important factors to consider in the design involved ensuring it followed traffic laws through the course, making sure it could operate multiple times, and fit within price and space constraints. Prototypes were tested against the ability to deliver 75 percent of trash units within 5 minutes, 50 percent of trash units within 5 minutes without any traffic violations, …

Integrating Multimodal Neuroimaging Of Error Monitoring To Estimate Future Anxiety In Adolescents, Emilio A. Valadez, Stefania Conte, John E. Richards, Yi Feng, Lucrezia Liuzzi, Marco Mcsweeney, Enda Tan, George A. Buzzell, Anderson M. Winkler, Daniel Samuel Pine

Human Genetics Publications

Importance Anxiety disorders are highly prevalent and associated with heightened error monitoring, the detection of one’s mistakes. However, error monitoring, anxiety, and their associations change throughout adolescence, limiting the ability to estimate future anxiety trajectories during this period.

Objective To ascertain whether measures of error monitoring obtained via the integration of electroencephalogram (EEG) and functional magnetic resonance imaging (fMRI) improve estimations of future anxiety compared with EEG or fMRI alone, in adolescents with or without a history of behaviorally inhibited temperament.

Design, Setting, and Participants This longitudinal cohort study was conducted at a university research laboratory and government research hospital. …

Penetrance Of Neurodevelopmental Copy Number Variants Is Associated With Variations In Cortical Morphology, Ana I. Silva, Ida E. Sønderby, George Kirov, Abdel Abdellaoui, Ingrid Agartz, David Ames, Nicola J. Armstrong, Eric Artiges, Tobias Banaschewski, John Blangero

Human Genetics Publications

Background: Copy number variants (CNVs) may increase the risk for neurodevelopmental conditions. The neurobiological mechanisms that link these high-risk genetic variants to clinical phenotypes are largely unknown. An important question is whether brain abnormalities in individuals who carry CNVs are associated with their degree of penetrance.

Methods: We investigated whether increased CNV penetrance for schizophrenia and other developmental disorders was associated with variations in cortical and subcortical morphology. We pooled T1-weighted brain magnetic resonance imaging and genetic data from 22 cohorts from the ENIGMA (Enhancing Neuro Imaging Genetics through Meta Analysis)-CNV consortium. In the main analyses, we included 9268 individuals …

Cookingdiffusion: Cooking Procedural Image Generation With Stable Diffusion, Yuan Wang, Bin Zhu, Yanbin Hao, Chong-Wah Ngo, Yi Tan, Xiang Wang

Research Collection School Of Computing and Information Systems

Recent advancements in text-to-image generation models have excelled in creating diverse and realistic images. This success extends to food imagery, where various conditional inputs like cooking styles, ingredients, and recipes are utilized. However, a yet-unexplored challenge is generating a sequence of procedural images based on cooking steps from a recipe. This could enhance the cooking experience with visual guidance and possibly lead to an intelligent cooking simulation system. To fill this gap, we introduce a novel task called cooking procedural image generation. This task is inherently demanding, as it strives to create photo-realistic images that align with cooking steps while …

From Holistic To Localized: Local Enhanced Adapters For Efficient Visual Instruction Fine-Tuning, Pengkun Jiao, Bin Zhu, Jingjing Chen, Chong-Wah Ngo, Yugang Jiang

Research Collection School Of Computing and Information Systems

Efficient Visual Instruction Fine-Tuning (EVIT) seeks to adapt Multimodal Large Language Models (MLLMs) to downstream tasks with minimal computational overhead. However, as task diversity and complexity increase, EVIT faces significant challenges in resolving data conflicts. To address this limitation, we propose the Dual Low-Rank Adaptation (Dual-LoRA), a holistic-to-local framework that enhances the adapter’s capacity to address data conflict through dual structural optimization. Specifically, we utilize two subspaces: a skill space for stable, holistic knowledge retention, and a rank-rectified task space that locally activates the holistic knowledge. Additionally, we introduce Visual Cue Enhancement (VCE), a multi-level local feature aggregation module designed …

Viewsrd: 3d Visual Grounding Via Structured Multi-View Decomposition, Ronggang Huang, Haoxin Yang, Yan Cai, Xuemiao Xu, Huaidong Zhang, Shengfeng He

Research Collection School Of Computing and Information Systems

3Dvisual grounding aims to identify and localize objects in a 3Dspacebasedontextualdescriptions. However, existing methods struggle with disentangling targets from anchors in complex multi-anchor queries and resolving inconsisten cies in spatial descriptions caused by perspective variations. To tackle these challenges, we propose ViewSRD, a frame work that formulates 3D visual grounding as a structured multi-view decomposition process. First, the Simple Rela tion Decoupling (SRD) module restructures complex multi anchor queries into a set of targeted single-anchor state ments, generating a structured set of perspective-aware de scriptions that clarify positional relationships. These de composed representations serve as the foundation for the Multi-view …

Polymind: Parallel Visual Diagramming With Large Language Models To Support Prewriting Through Microtasks, Qian Wan, Jiannan Li, Huanchen Wang, Zhicong Lu

Research Collection School Of Computing and Information Systems

Prewriting is the process of generating and organising ideas before a first draft. It consists of a combination of informal, iterative, and semi-structured strategies such as visual diagramming, which poses a challenge for collaborating with large language models (LLMs) in a turn-taking conversational manner. We present Polymind, a visual diagramming tool that leverages multiple LLM-powered agents to support prewriting. The system features a parallel collaboration workflow in place of the turn-taking conversational interactions. It defines multiple ''microtasks'' to simulate group collaboration scenarios such as collaborative writing and group brainstorming. Instead of repetitively prompting a chatbot for various purposes, Polymind enables …

Filterfl: Knowledge Filtering-Based Data-Free Backdoor Defense For Federated Learning, Yanxin Yang, Ming Hu, Xiaofei Xie, Yue Cao, Pengyu Zhang, Yihao Huang, Mingsong Chen

Research Collection School Of Computing and Information Systems

As a distributed machine learning paradigm, Federated Learning (FL) enables large-scale clients to collaboratively train a model without sharing their raw data. However, due to the lack of data auditing for untrusted clients, FL is vulnerable to poisoning attacks, especially backdoor attacks. By using poisoned data for local training or directly changing the model parameters, attackers can easily inject backdoors into the model, which can trigger the model to make misclassification of targeted patterns in images. To address these issues, we propose a novel data-free trigger-generation-based defense approach based on the two characteristics of backdoor attacks: i) triggers are learned …

Cross-Subject Mind Decoding From Inaccurate Representations, Yangyang Xu, Bangzhen Liu, Wenqi Shao, Yong Du, Shengfeng He, Tingting Zhu

Research Collection School Of Computing and Information Systems

Decoding stimulus images from fMRI signals has advanced with pre-trained generative models. However, existing methods struggle with cross-subject mappings due to cognitive variability and subject-specific differences. This challenge arises from sequential errors, where unidirectional mappings generate partially inaccurate representations that, when fed into diffusion models, accumulate errors and degrade reconstruction fidelity. To address this, we propose the Bidirectional Autoencoder Intertwining framework for accurate decoded representation prediction. Our approach unifies multiple subjects through a Subject Bias Modulation Module while leveraging bidirectional mapping to better capture data distributions for precise representation prediction. To further enhance fidelity when decoding representations into stimulus images, …

Memad: Structured Memory Of Debates For Enhanced Multi-Agent Reasoning, Shuai Ling, Lizi Liao, Dongmei Jiang, Weili Guan

Research Collection School Of Computing and Information Systems

Large Language Models (LLMs) demonstrate remarkable in-context learning capabilities but often struggle with complex, multi-step reasoning. Multi-Agent Debate (MAD) frameworks partially address these limitations by enabling iterative agent interactions. However, they neglect valuable historical insights by treating each new debate independently. In this paper, we propose Memory-Augmented MAD (MeMAD), a parameter-free memory-augmented MAD framework that systematically organizes and reuses past debate transcripts. MeMAD stores structured representations of successful and unsuccessful reasoning attempts enriched with self-reflections and peer feedback. It systematically retrieves them via semantic similarity at inference time to inform new reasoning tasks. Our experiments on challenging mathematical reasoning, scientific …

Emoshortcuts: Emotionally Expressive Body Augmentation For Social Mixed Reality Avatars, Hyuna Seo, Youngki Lee, Rajesh Krishna Balan, Thivya Kandappu

Research Collection School Of Computing and Information Systems

We present EmoShortcuts1, a novel social Mixed Reality (MR) framework that enhances emotional expression by dynamically augmenting avatar body gestures to reflect users’ emotional states. While social MR enables immersive remote interactions through avatars, conveying emotions remains challenging due to limitations in head-mounted display (HMD) tracking (e.g., missing lower-body movements, such as stomping or defensive postures), and users’ tendency to deprioritize nonverbal expressions during multitasking. EmoShortcuts addresses these challenges by introducing an augmentation framework that generates expressive body gestures even when users’ physical movements are restricted. We conducted a formative study with 12 participants to identify key challenges in emotional …

Boosting Chart-To-Code Generation In Mllm Via Dual Preference-Guided Refinement, Zhihan Zhang, Yixin Cao, Lizi Liao

Research Collection School Of Computing and Information Systems

Translating chart images into executable plotting scripts-referred to as the chart-to-code generation task-requires Multimodal Large Language Models (MLLMs) to perform fine-grained visual parsing, precise code synthesis, and robust cross-modal reasoning. However, this task is inherently under-constrained: multiple valid code implementations can produce the same visual chart, and evaluation must consider both code correctness and visual fidelity across diverse dimensions. This makes it difficult to learn accurate and generalizable mappings through standard supervised fine-tuning. To address these challenges, we propose a dual preference-guided refinement framework that combines a feedback-driven, dual-modality reward mechanism with iterative preference learning. Our approach introduces a structured …

Art4math: Handwritten Mathematical Expression Recognition Via Multimodal Sketch Grounding, Yang Zhou, Jin Wang, Yuxiao Zhang, Kaixiang Huang, Guodong Lu, Jingru Yang, Shengfeng He

Research Collection School Of Computing and Information Systems

Handwritten Mathematical Expression Recognition (HMER) remains a challenging task due to the structural complexity of mathematical notation and the ambiguity of handwritten symbols-e.g., ''ρ'' vs. ''p'' or ''B'' vs. ''β''. While stroke-based models offer disambiguation via temporal cues, most existing methods are constrained by coarse modality fusion and a lack of fine-grained cross-modal alignment, further hindered by limited annotated data. We introduce Art for Math (Art4Math), a novel framework that leverages the structural richness of human sketches to enhance HMER through fine-grained, modality-aware learning. Art4Math follows a two-stage training paradigm: Art Grounding (A-Grd) and Math Decoding (M-Dec). In A-Grd, the …