Digital Commons Network^™

Same Interdependent Risk, Different Valuation: How Risk Representation Shapes Ecosystem Investment Decisions, Shiyao Bao, Jiamin Zhao, En Yang, Llewellyn D. W. Thomas, Hansjörg Neth, Jan K. Woike, Sebastian Hafenbrädl

School of Psychology

Why do decision makers value the same risky opportunity differently when the underlying probability of success is unchanged? We study this question in ecosystem investment decisions, where success requires that none of the critical components fail, causing component risks to compound. We conducted a high-powered preregistered replication and extension of Adner and Feiler's key study (N = 3,600). Participants valued a $100,000 opportunity that required six independent components to succeed, each with a 75% chance of success, yielding an overall success probability of ≈18%. Replicating prior work, participants reported higher confidence and assigned higher valuations when they first saw the …

Unlocking The Past: Chemical Cleaning And Xrf Analysis In The Restoration Of A Renowned Work Of Art, Crisencio M. Paner

DLSU Arts Congress Conference Proceedings

This study presents the conservation and scientific analysis of a painting by Ang Kiukok, a prominent Filipino National Artist. The project emphasized preventive and restorative conservation, focusing on cleaning methods and pigment identification using X-ray Fluorescence (XRF) analysis. The findings provide valuable insights for developing effective preservation strategies and enhance our understanding of the artist’s materials and techniques, thereby contributing significantly to the documentation and advancement of Philippine art history. Conservation trainees, under expert supervision, followed a structured restoration process. For initial cleaning, three standard materials were used: Vulpex (a non-acidic liquid soap), Artist’s Picture Cleaner, and purified beeswax. These …

Gregory Hartmann V. Brian Chudzik

2026 Decisions

USDC for the Eastern District of Pennsylvania

Oral History With John Barry, Dan Royles

History Faculty Scholarship

Oral history interview with John Barry, who has served as Executive Director of the Southern Tier AIDS Program (STAP) since 2008. He was born in Endicott, New York in 1966, grew up in Vestal, and attended high school at Seton Catholic Central in Binghamton before serving in Germany with the United States Army during the early 1980s. When he returned to Broome County in 1987, some of his friends had been affected by HIV/AIDS and, while earning a degree at SUNY Binghamton, Barry became involved in mutual aid efforts to help people affected by the disease. He went to work …

Measuring Maintainable Income Under Natural Capital Depletion: A Dynamic Sustainability-Weighted Cost Of Capital Framework, Khaled Aldhaferi

Journal of King Abdulaziz University: Economics and Administration

Sustainability reporting has improved the visibility of climate, resource, and safety risks, but it still does not provide a measurement mechanism for separating maintainable operating surplus from income generated by depleting finite natural capital. This paper develops Dynamic Sustainability-Weighted Cost of Capital (Dynamic SWACC) as a governed shadow-accounting architecture for estimating sustainability-adjusted maintainable income. The framework begins from the Hicksian capital-maintenance view of income and the El-Serafy user-cost method, derives the user-cost charge from a finite-horizon operating-surplus annuity, and endogenizes the discount rate through auditable state variables: reserve-life constraint intensity, carbon-budget utilization, and operational safety risk. The developed contribution extends …

Empowering Communication And Understanding In Healthcare Relationships With Human-Centered Ai, Songyun Tao

Dartmouth College Ph.D Dissertations

Healthcare communication depends not only on what information is available, but on how it is interpreted, communicated, and acted upon across different roles. AI can support these processes by summarizing, transforming, and organizing information, but it can also change what becomes visible, who is expected to act, and where responsibility resides.

This dissertation examines how human-centered AI can support communication and understanding across healthcare relationships through three independently developed systems. MusicalPT supports self--body communication in physical rehabilitation through adaptive musical feedback. CareInsights supports communication among professional caregivers in long-term dementia care by preserving and surfacing person-specific context across shifts. Family …

Final Unreclaimed Sites Quality Assurance Project Plan (Qapp), Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Machine Learning Integrated Designing And Screening Of 8-Hydroxyquinoline Based Metallo-Beta-Lactamase Inhibitors, Anthony M. Baudino, Kari Stone

Chemistry Department Faculty Articles

The rapid emergence of metallo-b-lactamase-mediated antibiotic resistance has created an urgent need for new inhibitor discovery strategies. In this work, a machine-learning-guided workflow was developed to generate and prioritize potential inhibitors targeting NDM-1. A SMILES-based variational autoencoder was first pretrained on a broad molecular dataset to learn general chemical syntax and latent molecular representations. The model was then fine-tuned on an 8-hydroxyquinoline-enriched dataset to bias molecular generation toward zinc-binding chemical space relevant to metallo-β-lactamase inhibition. Generated compounds were processed through structural filtering and docking-based evaluation to create training data for downstream predictive modeling. Molecular fingerprints and physicochemical descriptors were then …

Neurodivergent Peer Tutoring And Anti-Ableism: Two High Schoolers’ Lived Experiences While Working In A Neurodiversity-Based Writing Center, Daniel S. Harrison

The Writing Center Journal

Neurodivergence is naturally present in the writing center and most often recognized by labels like ADHD, autism, OCD, dyslexia, and so on. However, neurodivergent voices in writing center scholarship have been few and far between in postsecondary institutions (Babcock, 2017; Batt, 2018; Kleinfeld, 2023), and in the secondary writing center even less so. Therefore, the purpose of this multiple case study was to explore the personal, relational, and formative aspects of the lived experiences of two neurodivergent students through a critical disability theory lens as they provided writing consultations to their neurodivergent peers in a Mid-Atlantic, independent special education school. …

Radiation Testing And Failure Analysis Of A Complex Heterogeneous Soc, Garrett Smith

Theses and Dissertations

Heterogeneous System on Chips (SoCs) provide a robust platform that can flexibly handle different applications. Their small form factor and low power consumption for their performance have made SoCs an attractive option for space applications. However, SoCs are sensitive to the ionizing radiation found in space. We need to understand how an SoC will behave in the high radiation found in space. This requires us to perform radiation testing of the SoCs on Earth to understand their behavior. The radiation testing and analysis of a heterogeneous SoC is complex as it contains multiple different processing cores, memories, and other system …

Evaluating Machine Learning Models On Classification Of Novel Cyber Attacks In The Healthcare Domain, Promise Ehimen

Dissertations, Theses, and Projects

The increasing adoption of the Internet of Medical Things (IoMT) has improved healthcare delivery through connected medical devices while simultaneously expanding the cybersecurity risks facing healthcare organizations. Although machine learning based intrusion detection systems have demonstrated high detection accuracy, their ability to respond reliably to previously unseen cyberattacks remains uncertain. This study investigated how a Neural Network model and a Logistic Regression model classified novel cyberattacks within the IoMT environment. The Neural Network and Logistic Regression models were both trained and tested using a subset of the CICIoMT2024 benchmark dataset. The Neural Network achieved 99.82% test accuracy and a 0.94 …

Ethnographic Insights Into Community-Based Circular Economy: The Case Of Waste Banks In Semarang, Rahoyo Rahoyo, Teti Susilowati, Sri Purwantini, Darto Sachius, Wilson M. A. Therik

ASEAN Journal of Community Engagement

The linear economy model has led to severe environmental degradation, prompting a shift toward the circular economy (CE) framework to promote sustainability. However, CE literature often overlooks grassroots, community-based initiatives in urban contexts, particularly in the Global South. This study addresses that gap by examining waste banks in Semarang, Indonesia, highlighting the critical importance of these grassroots initiatives within the broader discourse of community engagement. Using an ethnographic approach, data were collected through in-depth interviews, field observations, and open-ended survey responses across multiple community waste banks. The findings reveal the complex interdependence of four key actors—waste banks, itinerant collectors, scavengers, …

Payment For Forest Environmental Services For Sustainable Coffee Production: Engaging Stakeholders’ Perspectives, Quyen Nguyen Thi Ngoc, Vung Nguyen Xuan, Nam Vu Hai, Cuong Nguyen Thuy, Nghi Tran Huu, Thang Tran, Thuy Phan Thi

ASEAN Journal of Community Engagement

Engaging the community becomes crucial for environmental payment mechanisms as their implementation depends on the participation and coordination of beneficiaries, businesses, public agencies, and local resource users. Departing from this belief, this study examines the potential for expanding Vietnam’s Payment for Forest Environmental Services (PFES) program to the coffee sector, with a focus on sustainable production. Using a mixed-method approach, the study assessed consumers’ perceptions of forest environmental services and their willingness to pay for PFES-supported coffee, while also examining stakeholder perspectives on a potential implementation mechanism. Data were collected from a survey of 457 customers in Dak Lak province …

Thermoclock:A Novel Automated Temperature Regulation Device That Can Model Circadian Entrainment And Disruption In 2d And 3d In Vitro Models, Kaiyin Kelly Zhang, Cathryn A. Cutia, Chanelle A. Moise, Bhavna Kalyanaraman, Kaitlyn Chhe, Jiexin Wang, Michelle E. Farkas, Ilia N. Karatsoreos, Mary Harrington, Meghan E. Huber, Cathal J. Kearney

Biological Sciences: Faculty Publications

Circadian rhythms are critical for maintaining homeostasis and regulating physiological functions, and consequentially impact disease progression; yet, they remain largely overlooked in in vitro models used in preclinical research. One major barrier to rigorously testing the role of circadian rhythms in these models is the lack of accessible tools that seamlessly integrate into standard culture setups and are capable of sustainably delivering time cues to cells and tissues in long term experiments. Here, we present the ThermoClock, a low-cost, Arduino-based automated temperature control system capable of delivering independent temperature programs to multiple cultures simultaneously. Using circadian reporter U2OS cell lines …

Evaluating Generative Ai-Based User Interfaces Using An Integrated Neutrosophic Multi-Criteria Decision-Making Framework, Nada Mohamed, Alshaimaa A. Tantawy

Neutrosophic Systems with Applications

User Interface (UI) design can be seen as an essential aspect of human-computer interaction (HCI) and makes communication easier between people and technology. In today's digital economy, interface quality has become one of the most important business concerns, since it has a direct impact on customer satisfaction and retention while affecting revenue. Although creating user-centered and accessible interfaces is crucial, doing so is a difficult and time-consuming process, which leads to burnout for many usability professionals. Although conventional artificial intelligence (AI) was utilized for design assessment and automation, the arrival of generative AI technology has created new possibilities for automated …

Javaid V. 1129 59 Lofts Llc

All Decisions

Tenants displaced from their rent-stabilized apartment by fire were restored to possession after more than two years. Despite renting another apartment during displacement, the court found no surrender because no surrender agreement or payment ever materialized. The court held that failure to file a rent reduction order when the unit became uninhabitable does not constitute abandonment of the tenancy. The court declined to weigh the equities in favor of third-party tenants currently in the apartment, one of whom never appeared and the other failed to present testimony justifying why they should not vacate.

Convenience And Communication: Students’ Experiences In Synchronous Online, In-Person, And Asynchronous Consultations, Carolyn Wisniewski

The Writing Center Journal

Writing center tutorial modalities have proliferated in recent years, yet research has not kept pace. Students’ experiences in online writing tutorials remain understudied (Denton, 2017; Hewett & DePew, 2015). Better understanding students’ experiences across session modalities is critical to achieving an inclusive and accessible writing center (Martinez & Olsen, 2015). This study used a mixed-methods, comparative design to determine how students selected, experienced, and perceived the accessibility of synchronous online, in-person, and asynchronous modalities. Qualitative and quantitative analysis of 138 surveys and 22 interviews indicated students perceived each modality to provide effective writing support. They report selecting tutorial modality based …

Healer Or Human? How Online Physician Reviews Guide Patient Choice, Shabnam Azimi, Sina Ansari, Ignacio Luri, Atefeh Yazdanparast

Faculty Publications

Online reviews increasingly guide physician choice, yet it remains unclear whether content emphasizing a physician's competence (technical skills) or benevolence (prioritizing patients' welfare over self‐interest) more strongly influences patients' decisions. Integrating a field study of 12,351 physician reviews with two online experiments, we distinguish two dimensions of review effectiveness: how helpful readers find a review, and how confident they feel about the choice it informs. We show that competence‐ and benevolence‐focused content influences these outcomes through distinct mechanisms. Benevolence‐focused reviews receive higher helpfulness evaluations because caring behaviors are easier to describe in concrete, vivid language and because naturalistic review platforms …

Redefining Creativity: Exploring The Value Of Generative Ai In Art, Zaldy D. Duenas Iii

DLSU Arts Congress Conference Proceedings

Artificial intelligence (AI) has profoundly transformed human activities and industries, including education, business, healthcare, entertainment, and the arts. The creative and artistic sector, in particular, has been significantly impacted, giving rise to public discourse around AI-generated art, commonly termed "AI art ."Advances in generative AI tools have disrupted traditional artistic practices by enabling rapid and seamless image generation from text prompts. These emerging AI technologies have introduced various economic, legal, ethical, and philosophical debates surrounding creativity in AI-generated works. In line with this, this paper examines the implications of generative AI on art and creativity, posing the central question: "Can …

What Drives Sovereign Sukuk Development? The Role Of Institutional Quality And Macroeconomic Conditions In Oic Countries, Rahmatina Awaliah Kasri, Aulia Utami

International Journal of Islamic Economics and Business Sustainability

Purpose – The study examines the relationship between institutional quality, macroeconomic conditions, and sovereign sukuk outstanding in eight member countries of the Organization of Islamic Cooperation (OIC) during 2014–2021.

Design/methodology/approach– The study employs panel data for Bahrain, Brunei Darussalam, Indonesia, Malaysia, Pakistan, Qatar, Saudi Arabia, and Türkiye. Institutional quality is measured using government effectiveness, control of corruption, regulatory quality, and voice and accountability. Macroeconomic variables included are economic size, inflation, and oil rents. Fixed-effects panel regressions with robust standard errors are applied following model specification and diagnostic tests.

Findings – Economic size and voice and accountability are positively associated …

Human Capital, Regional Development, And Maqasid Sharia: An Input-Output Analysis Of Government Spending And Private Investment In Yogyakarta, Indonesia, Adibah Seila, Nurkholis Nurkholis Mr.

International Journal of Islamic Economics and Business Sustainability

Purpose – This study examines the sectoral linkages and multiplier effects of local government expenditure and private investment in education, health, and information and communication technology (ICT) – sectors central to human capital formation – in the Special Region of Yogyakarta (DIY), Indonesia, and interprets the findings through a Maqasid Sharia lens.

Design/methodology/approach – The 2016 input-output table for DIY (17 sectors) was updated to 2020–2029 using the RAS method. Backward and forward linkages and output, gross value added (GVA), income, and labor multipliers were estimated for all sectors. Four shock simulations (ICT, education, health, and a combined shock) were …

The Effect Of External Debt On Environmental Degradation Indicators: Case Studies Of Oic Countries, Fandy Fadillah, Nur Dhani Hendranastiti

International Journal of Islamic Economics and Business Sustainability

The current climate problem has a real impact on human life in which humans have also contributed to exacerbating this problem. One activity that can contribute to environmental degradation is through debt, including external debt, that can be used as financing instrument for development projects that exploit resources. On the other hand, the use of debt can also be advantageous for environment if it is used for financing green projects. The use of external debt becomes more debatable for OIC countries, as Islam has particular rules in how debt can be used. Hence, this study aims to observe the existence …

Usa V. Gregory Turbe

2026 Decisions

USDC for the District Court of the Virgin Islands

2026 Final Unreclaimed Sites Quality Assurance Project Plan (Qapp), Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Final Insufficiently Reclaimed Sites Quality Assurance Project Plan (Qapp), Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

A Comparative Study Of Deep Learning Models For Water Quality Prediction, Doaa El-Shahat, Mohamed Ismail

Sustainable Machine Intelligence Journal

One of the most important challenges in the recent period, and one that still presents a significant challenge, is sustainable management of water resources and accurate prediction of water quality to address increasing pollution and climate changes. Therefore, our study aims to address the complexity and noise in water quality data with time dependencies in water quality data in order to provide a more accurate prediction of water quality by evaluating and comparing six of the latest and most powerful deep learning models that have been recently developed, namely: VBAED, SA-LSTM-LOADEST, LWQformer, ESWT-IE-SBiLSTM, DPSGT, in addition to the CNN-CRNN-M5T model. …

Recoverable Agentic Ai For Communication Networks: A Survey Of Architectures, Trust Regulation, And Failure Recovery, Omar K. Dawoud, Osama A. Ghoneim

Sustainable Machine Intelligence Journal

Agentic artificial intelligence is increasingly integrated into communication networks, enabling systems that perceive network state, reason over conditions, and execute actions on live infrastructure. As these systems act directly on operational environments, their behavior after failure remains insufficiently characterized: existing evaluation emphasizes throughput, latency, and accuracy, without capturing how systems recover after actions that affect network state. This survey examines agentic artificial intelligence in communication networks through the lens of recoverability, based on a systematically coded corpus of the recent literature. The paper introduces the MATR-R framework, which organizes recoverability around memory awareness, action governance, trust regulation, and recovery capability. …

Toward Trustworthy Ai-Enabled Smart Healthcare: A Multi-Layer Taxonomy Of Data Modalities, Model Families, Clinical Applications, And Real-World Deployment Challenges, E. A. Zanaty, Asmaa H. Abd El-Rahiem

Sustainable Machine Intelligence Journal

Artificial intelligence (AI) is increasingly reshaping healthcare through predictive analytics, medical imaging, remote patient monitoring, clinical decision support, and personalized care. Despite rapid progress, the literature on AI-enabled smart healthcare remains fragmented across data modalities, model families, clinical tasks, trustworthiness requirements, and real-world deployment challenges. This review addresses this fragmentation through a taxonomy-based synthesis of AI-enabled smart healthcare systems supported by a systematic literature search. The review proposes a multi-layer taxonomy spanning healthcare data modalities, AI model families, clinical application domains, trustworthiness attributes, and deployment readiness. The reviewed evidence covers major healthcare data sources, including electronic health records, medical imaging, …

Adasel: Adaptive Attention-Based Stacked Ensemble Learning With Explainable Ai Framework For Earthquake Alert Level Classification System, Alaa Desukey, Ahmed M. Abdelmouty

Sustainable Machine Intelligence Journal

Earthquakes are one of the most life-threatening natural events, and scientists are always concerned about their forecast. Standard machine learning (ML) algorithms have difficulty earthquake alert level classification (EALC) problem. The study presents an ADASEL framework for EALC. The data is merged using a stacked ensemble learning approach, including base learners and meta-models. The basic learners include Extra Tree, random forest (RF), lightGBM, XGBoost, CatBoost, and Gradient Boosting. The outputs are optimized using an attention-based multilayer perceptron meta-model (MLP), LSTM, and Transformer. The technique was tested using earthquake dataset. The data preprocessing steps are applied to enhance quality of the …

Does Ai Advance Environmental Sustainability? The Moderating Roles Of Institutional Quality And Skill-Biased Technological Change, Arshad Javed, Insha Ihsan, Haleema Ahsan

Journal of King Abdulaziz University: Economics and Administration

Is the Earth saved or sacrificed by artificial intelligence? Our inquiry into whether AI innovation improves environmental sustainability, as assessed by the Load Capacity Factor (LCF), a comprehensive indicator that includes both ecological supply and demand, is centred on this subject. Study uses moderation analysis to investigate synergistic effects using Driscoll-Kraay standard errors to address cross-sectional dependence and heteroskedasticity using panel data from 20 countries between 2017 and 2025. According to our research, LCF is greatly enhanced by AI patent filings, and this benefit is further reinforced by institutional quality and FDI. Crucially, the connection between AI and skill-biased technological …