Digital Commons Network^™

A Novel Deliberative Multicriteria Evaluation Approach To Ecosystem Service Valuation, Georgia Mayrommati, Mark E. Borsuk, Richard B. Howarth

New Hampshire EPSCoR

Although efforts to address ecosystem services in decision making have advanced considerably in recent years, there remain challenges related to valuation. In particular, conventional economic approaches have been criticized for their inability to capture the collective nature of ecosystem services, for their emphasis on monetary metrics, and the difficulty of assessing the value of ecosystem services to future generations. We present a deliberative multicriteria evaluation (DMCE) method that combines the advantages of multicriteria decision analysis with a deliberation process that allows citizens and scientists to exchange knowledge and evaluate ecosystem services in a social context. Compared with previous applications we …

Metarag: Identifying Website Owner Using Meta-Path-Guided Dynamic Graph Retrieval-Augmented Generation, Cheng Tu, Yunshan Ma, Bingyang Guo, Qianyu Li, Yang Li, Min Zhang, Fan Shi, Xiang Wang

Research Collection School Of Computing and Information Systems

Website owner identification aims to link websites to their real-world owners, which is crucial for credibility assessment and information provenance in information retrieval and vital for applications in cybersecurity, Internet governance, and digital regulation. Existing approaches for website owner identification primarily rely on querying infrastructure registration records or analyzing webpage content. However, these methods often fail due to incomplete or outdated registration records and sparse webpage content. We observe that inter-website relationships, derived from shared infrastructure data such as primary domains, IP blocks, and geolocations, can provide valuable but underutilized ownership cues. To exploit this insight, we propose MetaRAG, a …

Stprompt++: Prompting Vision-Language Models For Weakly Supervised Video Anomaly Detection And Fine-Grained Localization, Peng Wu, Chengyu Pan, Guansong Pang, Xiangteng He, Zhiwei Yang, Peng Wang, Yanning Zhang

Research Collection School Of Computing and Information Systems

Traditional weakly supervised video anomaly detection (WSVAD) tasks typically rely on coarse-grained frame-level labels for training. Although this approach reduces annotation costs, it results in weak semantic understanding and spatial localization capabilities due to the absence of fine-grained annotations, hindering precise pixel-level anomaly detection and localization. Thanks to the success of vision-language models (VLMs), e.g., CLIP, recent approaches leveraging large VLMs focus on exploiting their strong semantic understanding capabilities, but they typically feed only keyframes or short video segments into the models, without supplying sufficient prior contextual information (e.g., contextual frames around anomalies, zoomed-in anomaly regions, and detailed anomaly descriptions), …

His 242.C301 – Contemporary European History From The Global South / Third World Perspective, Soheil Asefi

Open Educational Resources

This syllabus for HIS 242: Contemporary European History builds on a course taught in Lehman College’s History Department in 2025 and has been revised for Fall 2027. It approaches European history from the French Revolution to the present through Global South perspectives, emphasizing empire, class struggle, migration, anti-colonial movements, gender, and sexuality. Combining primary sources, scholarship, digital archives, and multimedia, the course encourages historical analysis through discussion and student presentations. Developed through the Open Knowledge Fellowship, this Zero Textbook Cost syllabus brings together open educational resources, open-access materials, and CUNY library resources.

Purification Of Protoporphyrin Ix Using The Fplc, Ken Overway, Laura Narby

Honors Projects

Protoporphyrin IX (PPIX) is the main pigment in brown eggshells, and it is embedded in the shell gland of hens during the final stages of the egg-making process. This natural dye can be used as a substitute for organic sensitizers in dye-sensitized solar cells (DSSCs). One benefit of PPIX is that it is a natural resource and has a high absorption coefficient in the visible and near-infrared region (NIR). Purified PPIX is extremely helpful in dye-sensitized solar cells because it improves electron injection efficiency, can be chemically modified to improve its absorption efficiency, and can be mixed with nanomaterials such …

Social Emotional Learning (Sel) For Secondary English Language Learners (Ells), Summer E. Wallace

Honors Projects

This literature review and unit plan seeks to understand what Social Emotional Learning (SEL) is and provide resources to educators on its importance in the classroom. The literature review provides an overview of peer-reviewed sources from various educational journals, as well as online publications. It also contains interviews with two educators currently in the field. This project examines the benefits of SEL within the classroom and beyond, and proposes steps and considerations for implementing SEL into the classroom. It also includes specific provisions for SEL instruction to secondary English Language Learners (ELLs). Additionally, it discusses specific strategies to implement in …

Political Uncertainty And Firm-Level Stock Market Reactions In The United States, Nozomi Tanaka

Honors Program: Senior Projects (Public)

Political uncertainty has become an increasingly important feature of the global economy, with major geopolitical events often triggering rapid reactions in financial markets. This study examines how geopolitical shocks affect firm-level stock market performance in the United States. Using an event study framework, the analysis evaluates cumulative returns and stock return volatility for fourteen publicly traded firms across nine major geopolitical events between 2016 and 2022, including the Brexit referendum, the U.S.–China trade war, the COVID-19 pandemic, and the Russia–Ukraine war.

The results indicate that most firms experienced negative abnormal returns around geopolitical events, suggesting that political uncertainty is generally …

Ai Failures In The Eyes Of The Downstream Developer: A First Look At Concerns, Practices, And Challenges, Haoyu Gao, Mansooreh Zahedi, Wenxin Jiang, Hong Yi Lin, James C. Davis, Christoph Treude

Research Collection School Of Computing and Information Systems

With the advancement of AI models, more software systems are adopting AI as a component to facilitate automation. Pre-trained models (PTMs) have become a cornerstone of AI-based software, allowing for rapid integration and development with lower training cost. However, their adoption also introduces failure modes such as data leakage and biased outputs, that may require careful handling by downstream developers. While previous research has proposed taxonomies of these technical concerns and various mitigation strategies, how downstream developers address these issues during the development of general AI-based software when reusing PTMs remains unexplored. Understanding downstream developers’ perspectives is essential because they …

Bridging The Gap Between Career Expectations Versus Labor Market Realities, Reinette P. Madrid, Grethel T. Ledesma, Ignatius Aryono Putranto, Jyro B. Triviño

Leadership and Strategy Faculty Publications

Most students lack awareness regarding the labor market outcomes for their chosen college majors. This study aims to answer what factors affect the career expectations of graduating students at Quezon City University and how these expectations align with the prevailing labor market situation. It employed descriptive, causal, and explanatory research using a sample of 108 respondents from fourth-year information technology students for the school year 2021 to 2022. Eight of the nine null hypotheses were rejected by employing multinomial logistic and linear regression. Student fixed effects and other labor market outcomes significantly predicted salary, estimated stability, and estimated skills in …

The Contractual Womb: U.S. Surrogacy Reform Through A Federal Bioethical Framework, Yasmine A. Quinones

Student Works

No abstract provided.

Community College Librarian Needs Assessment: Academic Status And Research Interest, Christine (Mi-Seon) Kim, Stephanie Delano Davis

Publications and Research

This pilot study explores the results of the Spring 2023, “Needs Survey for Community College Librarians” conducted by the Community and Junior College Libraries Section (CJCLS).  CJCLS is a section of the Association of College and Research Libraries (ACRL), a division of the American Library Association (ALA). One hundred and seventeen individuals participated in the survey. The survey asked community college librarians about their academic employment status and publication requirements, their interest in research, and the support for research available to them at their institutions. The key findings of this research show a broad range of academic status classification among …

Hearsay In High Definition: Body-Worn Cameras And The Future Of Intimate Partner Violence Prosecutions, Kenechukwu Okocha

Working Papers

Technological advances in documenting police encounters with the public have outpaced evidentiary hearsay rules. Specifically, the rapid adoption of body-worn cameras (BWCs), fueled by racial justice and police reform advocates, has produced previously unavailable, vivid, and timely recordings of IPV victims’ accounts of abuse. Unfortunately, state and federal rules governing hearsay often prevent juries from considering these out-of-court statements. Such restrictions carry particular force in IPV cases, where victims frequently recant or decline to testify at trial due to abuser manipulation or distrust of the criminal justice system.

Courts and legislatures have eased some evidentiary restrictions in IPV cases in …

From Global Governance To Regulatory Retreat: The Csddd, Fashion Supply Chains, And The Limits Of Eu Supply Chain Ambition After Omnibus I, Cienna Alam

Student Works

No abstract provided.

Cyberbullying And Free Speech Considerations Under The New Jersey Anti-Bullying Bill Of Rights Act, Jesse R. Place

Student Works

No abstract provided.

Revising The Role Of Minors And Their Participation In Their End-Of-Life Care: An Argument For A Shared Decision-Making Model Rooted In Pediatric Patients’ Decision-Making Capacity, Taylor Talcott

Student Works

No abstract provided.

Originalism’S Impact On The Sovereignty Of Indian Nations, Julian Allber

Student Works

No abstract provided.

Bodily Autonomy And Involuntary Servitude: Applying The Thirteenth Amendment To Restrictions On Abortion In The Case Of Pregnancy Induced By Rape, Joseph Innocente

Student Works

No abstract provided.

Circulation Over Preservation: Reintroducing Temporal Limits To Intergenerational Wealth Retention, Jason Irving Galak

Student Works

No abstract provided.

Multidisciplinary Practices (Mdps) In Elder Law, Bryan Koslow

Student Works

No abstract provided.

The Doctrine Of Christian Discovery: How Medieval Papal Authority Shaped U.S. Property Law And Continues To Deny Justice To Indigenous Nations, Colin Sumner

Student Works

No abstract provided.

Logupdater: Automated Detection And Repair Of Specific Defects In Logging Statements, Renyi Zhong, Yichen Li, Jinxi Kuang, Wenwei Gu, Yintong Huo, Michael R. Lyu

Research Collection School Of Computing and Information Systems

Developers write logging statements to monitor software runtime behaviors and system state. However, poorly constructed or misleading log messages can inadvertently obfuscate actual program execution patterns, thereby impeding effective software maintenance. Existing research on analyzing issues within logging statements is limited, primarily focusing on detecting a singular type of defect and relying on manual intervention for fixes rather than automated solutions.To address the limitation, we initiate a systematic study that pinpoints four specific types of defects in logging statements (i.e., statement code inconsistency, static dynamic inconsistency, temporal relation inconsistency, and readability issues) through the analysis of real-world log-centric changes. We …

Generalizing Unsupervised Lidar Motion Estimation Via Patch-Aware Feature Reweighting Under Snowy Conditions, Beibei Zhou, Zhiyuan Zhang, Zhenbo Song, Jianhui Guo, Tongpo Zhang, Shaojing Song, Qinge Wu, Hui Kong

Research Collection School Of Computing and Information Systems

Unsupervised LiDAR motion estimation has attracted significant attention in pattern recognition and robotic vision. However, ensuring robust performance under adverse conditions — particularly structured noise like heavy snowfall — remains a challenging problem. Existing models struggle with domain generalization due to the sensitivity of feature extractors to spatial outliers, limiting their reliability in complex real-world scenarios. In this work, we present an unsupervised LiDAR motion estimation framework via patch-aware feature reweighting to mitigate the domain shift between clear and snowy conditions. Our approach prioritizes reliability-aware reweighting to reduce the influence of snowflake noise and outlier points on pose estimation, while …

The Indirect Taxes, Conor Clarke, Ari Glogower

Scholarship@WashULaw

Article I of the Constitution empowers Congress to “lay and collect Taxes, Duties, Imposts and Excises.” It is arguably Congress’s most important power. A government’s first task is to fund itself, and the absence of an enforceable funding mechanism under the Articles of Confederation was a primary reason for the Constitution in the first place. Yet scholarly and judicial attention has focused mostly on the term “taxes” (and specifically what constitutes a “direct tax” that must be apportioned) while largely overlooking the three terms that follow—the duties, imposts, and excises that are collectively known as the “indirect taxes.” 

While poorly …

How To Enhance Employees’ Emotional, Cognitive, And Intentional Readiness For Retail Automation In The Fashion Retail Industry: A Mixed Pls-Sem, Nca, And Fsqca Study, Xun (Catherine) Sun, Jung Ha-Brookshire

Faculty Publications - Family and Consumer Sciences

In lieu of an abstract, this is the first paragraph of the introduction:

Retail automation, which comprises a spectrum of service solutions designed to automate manual processes, has transformed retail by enhancing both customers' experience and employees' efficiency (Benoit et al., 2024). These retail automations include smart point-of-sale (POS) systems, smart fitting rooms, RFID, AI-based retail services, and more (Le-Hoang and Loi, 2026; Schultz, 2025). Retail automation has continued to expand rapidly, with the U.S. fashion retail industry rep- resenting one of the largest and most advanced markets, driven by technological innovation, rising service labor costs, and increasing de- mand …

Push-Pull Farming System Helps Insure Smallholder Maize Production Under Climate Change, Yann Clough, Wilhelm May, Timothy Luttermoser, Dickens Nyagol, Nikolaos Alexandridis, Frank Chidawanyika, Mattias Jonsson, Charles A.O. Midega, Katja Poveda, Zeyaur R. Khan

All Peer-Reviewed Publications

Agroecological approaches harnessing in-field biodiversity have been highlighted as a sustainable way to reduce yield gaps, but long-term assessments of their ability to buffer production from weather extremes and increasing interannual and intraseasonal climate variability are scarce. Here, we analyze a 12-year dataset from 642 control vs. push-pull maize field pairs in western Kenya, where long-term climate trends include increasing temperatures and intensifying drought and rainfall. In push-pull, maize is intercropped with a fodder legume that improves soil fertility, suppresses weeds, and deters pests, and is bordered with fodder grasses attracting and suppressing the pests. We assess interactions between push-pull …

Supporting Bibliodiversity And Access Through Library Resource Sharing, J. Silvia Cho

Publications and Research

Librarians, with their core values of access, intellectual freedom, stewardship and democracy, share bibliodiversity advocates’ vision of an eco-social system of diverse cultures and reading as a democratic and emancipatory practice. Librarians bolster bibliodiversity by collecting inclusively, critically reviewing and decolonizing library collections, and centering access. Building on previous discussions on the role of open access in strengthening bibliodiversity, this paper acknowledges and articulates how interlibrary loan and library resource sharing also support bibliodiversity. Doing so is important to augment advocacy and support for these services. Advancing solutions to challenges in resource sharing means also advancing towards bibliodiversity goals, supporting …

Optimizing Human Fcrn Mouse Models To Improve Pharmacokinetic Evaluation Of Antibody Drug Candidates., Gregory J. Christianson, Zachary M Howard, Samantha Kenney, Emily Lowell, Nijaguna Bethur, Derry C. Roopenian, Elena Gonzalo-Gil

Faculty Research 2026

The use of animal models that can reliably predict drug performance in human patients is critical to antibody therapeutic development. Along with assessing toxicity and efficacy, determining the pharmacokinetic (PK) properties of therapeutics in Tg32 and Tg276 mice is essential to preclinical characterization. While Tg32 mice have been well established as indispensable in their ability to model the PK properties of antibody therapeutics, their intact immunity leaves them capable of mounting anti-drug antibody responses that interfere with PK interpretation. Here, we demonstrate the negative impact anti-drug responses can have on PK parameters derived from Tg32 mice, and provide strong evidence …

Optimizing Human Fcrn Mouse Models To Improve Pharmacokinetic Evaluation Of Antibody Drug Candidates., Gregory J. Christianson, Zachary M Howard, Samantha Kenney, Emily Lowell, Nijaguna Bethur, Derry C. Roopenian, Elena Gonzalo-Gil

Faculty Research 2026

The use of animal models that can reliably predict drug performance in human patients is critical to antibody therapeutic development. Along with assessing toxicity and efficacy, determining the pharmacokinetic (PK) properties of therapeutics in Tg32 and Tg276 mice is essential to preclinical characterization. While Tg32 mice have been well established as indispensable in their ability to model the PK properties of antibody therapeutics, their intact immunity leaves them capable of mounting anti-drug antibody responses that interfere with PK interpretation. Here, we demonstrate the negative impact anti-drug responses can have on PK parameters derived from Tg32 mice, and provide strong evidence …

Using Randomization To Compare Ai And Expert-Generated Formative Assessment Questions In Medical Education, Akshat Kumar, Katie Stinson, Litao Wang, Elizabeth Nugent, Yongsu Lee, Mark Hormann, Latanya Jones Love, Toufeeq Ahmed Syed

Faculty, Staff and Student Publications

Background: AI-generated content is being used across the education spectrum and is beneficial for creating complex multiple-choice questions, such as those used in medical education. However, evaluating AI-generated content is challenging, and existing testing and evaluation methods are falling short. This study uses randomization to compare medical students' performance on and subjective evaluation of AI versus expert-generated questions. We hypothesized that there would be no difference in student performance or subjective evaluation of AI vs expert-generated questions.

Methods: We designed a single-center, randomized study where medical student participants received either one AI- or expert-generated question per day over four weeks. …

Toward Mapping Multiphase Multicomponent Mixtures With Neural Networks, Kristen L. Hallas, Melissa De Jesus, Christine J. Wu, Jianzhi Li, Jason Bernstein, Philip C. Myint

School of Mathematical & Statistical Sciences Faculty Publications

Equation of state (EOS) tables are commonly used in hydrodynamic simulations of high-pressure, high-temperature phenomena in fields like planetary science, astrophysics, and high-energy-density science. However, generating and storing EOS tables for multiphase, multicomponent mixtures over a wide range of pressures and temperatures is computationally infeasible due to their memory-intensive nature. To address this issue, we have developed a neural network-based machine learning model to predict new EOS tables for binary mixtures. In particular, a deep feedforward neural network trained on a set of ten EOS tables at particular mixture compositions is able to predict nine new (hold-out) EOS tables at …