Digital Commons Network^™

Meduncertainvlm: Multi-Modal Uncertainty Quantification In Vision-Language Models For Clinical Documentation, Shikhar Patel, Rushabh Darji

Artificial Super Intelligence (ASI) Conference

Vision-language models are increasingly deployed for clinical documentation tasks in radiology. A common application involves extracting diagnostic labels from chest radiographs with reports. These models must communicate calibrated uncertainty to avoid influencing patient care incorrectly. Overconfident predictions from poorly calibrated models pose a documented patient safety risk. Existing medical vision-language models produce only point estimates without any confidence bounds. Standard post-hoc calibration methods such as temperature scaling omit cross-modal signals entirely. They cannot detect cases where image and text branches make genuinely inconsistent predictions. This paper presents MedUncertainVLM, a framework that addresses this gap directly and systematically. The system uses …

The Lost World Of Thomas Jefferson, Daniel Boorstin

Hannah Arendt Marginalia - All

Boston : Beacon Press, 1960.

Call # : B878 .B6 1960

Contains marginalia, underlining, marginal lining and endpaper notes

PDF Information : 10.2 MB, 28 Pages

2nd Annual Miners Solving For Tomorrow Research Conference - Undergraduate Schedule, Blake Bowman, Carter Lawson, Celia Freed, Adam Merchiori, Allie Dingfield, Catherine Skaggs, Drake O'Leary, Quinten Bachman, Elizabeth Bone, Joely Grace Hall, William Wisnasky, James Meyer, Sindhujaa Jaiganesh, Sophia Nicolette Petilla Militante, Brantley Carter, Adrianna Sasser, Alec Gamache, Micah Gargrave, Keagen Miller, Uma Adrianna Misra, Collin Gentry, Christy Johnson, Brady Carlson, Logan Williamson, Jivanji Sumariwalla, Hayden O'Dell, Elijah Brakensiek, Katharine Gray, Lukas Farthing, Jacob Harl, Landon Meyer, Nehemiah Milton, Lana Herkenhoff, Jenna Mueller, Lucas Ethington, Maya Southard, Aster Davidson, Ethan Beane, Jacob Penn, Connor Jordan, Amanda Hodges, Ethan Keuhn, Milan Jebaraj, Ariel Pilger, Sydney Clark, Maris Reinkemeyer, Manav Raja Vinotha, Punit Sesha Sai Turlapati, Benjamin Sullins, Benjamin Biehl, Jamie Koester, Aidan Sengupta

Miners Solving for Tomorrow Research Conference

No abstract provided.

2nd Annual Miners Solving For Tomorrow Research Conference, Blake Bowman, Carter Lawson, Celia Freed, Adam Merchiori, Allie Dingfield, Catherine Skaggs, Drake O'Leary, Quinten Bachman, Elizabeth Bone, Joely Grace Hall, William Wisnasky, James Meyer, Sindhujaa Jaiganesh, Sophia Nicolette Petilla Militante, Brantley Carter, Adrianna Sasser, Alec Gamache, Keagan Miller, Uma Adrianna Misra, Collin Gentry, Christy Johnson, Brady Carlson, Logan Williamson, Jivanji Sumariwalla, Hayden O'Dell, Elijah Brakensiek, Katharine Gray, Lukas Farthing, Jacob Harl, Landon Meyer, Nehemiah Milton, Lana Herkenhoff, Jenna Mueller, Lucas Ethington, Maya Southard, Aster Davidson, Ethan Beane, Jacob Penn, Connor Jordan, Amanda Hodges, Ethan Keuhn, Milan Jebaraj, Ariel Pilger, Sydney Clark, Maris Reinkemeyer, Manav Raja Vinotha, Punit Sesha Sai Turlapati, Benjamin Sullins, Benjamin Biehl, Jamie Koester, Aidan Sengupta, Antai Dong, Connor Bell, Dennis Dadzie, Joshua Gary, Adebayo Olayinka Oke, Deeshani Mitra, Yejun Kim, Josiah Mcdermott, Samiksha Aryal, Nicholas Brenner, Timothy Ennis, Maryam Sharifi Paroushi, Sujan Maharjan, Md Saiduzzaman, Hari Dhital, Manuela Isabel Arenas Alvarez, Eyuel A Getahun, Lucas Greiner, Amaneh Babaee, Shane Cairns, Nazish Khalid, Joseph Walton, Jie Shi, Ehsan Asheghianamiri, Mariam Elazhary, Makuach James Makeny Panther Athach, Rasman Mubtasaim Swargo, Shiva Kumar Goud Kasani, Pablo Jara, Sara Mccauley, Hartzell Weston, Al Mojahid Afridi, Matik Heskin, Nima Mahmoudzadeh, Effat Eskandari, Amitav Sen, Rabin Pandey, Amirhossein Habibi, Nuzaer Omar, Mizanur Rahman Jewel, Nathan Tibbetts, Manoj Twarakavi, Fahara Bristy, Akhrorbek Narmatov, Mahnaz Asgari Sooran, Tafang Hei, Nathan Roberts, Khosro Ghorbani Zadeh

Miners Solving for Tomorrow Research Conference

No abstract provided.

Agripestdatabase-V1.0: A Structured Insect Dataset For Training Agricultural Large Language Model, Yagizhan Bilal Durak, Ashley Morgan-Olvera, Ahsan Ul Islam, Iftekhar Ibne Basith, Shahidul Islam, Syed Hasib Akhter Faruqui

Artificial Super Intelligence (ASI) Conference

Agricultural pest management increasingly relies on timely and accurate access to expert knowledge, yet high quality labeled data and continuous expert support remain limited, particularly for farmers operating in rural regions with unstable or no internet connectivity. At the same time, the rapid growth of artificial intelligence (AI) and large language models (LLMs) has created new opportunities to deliver practical decision support tools directly to end users in agriculture through compact and deployable systems. This work addresses (i) generating a structured insect information dataset to be used for LLM training, and (ii) adapting a lightweight LLM model (<= 7B) by fine tuning it for possible future edge device uses in agricultural pest management. The textual data collection was done by reviewing and collecting information from available pest databases and published manuscripts on nine selected pest species. These structured reports were then reviewed and validated by a domain expert. From these reports, we constructed question-answer (Q/A) pairs to support model training and evaluation. A LoRA-based fine-tuning approach was applied to multiple lightweight LLMs and evaluated. Initial evaluation shows that Mistral 7B achieves an 88.9% pass rate on the domain-specific Q/A task, substantially outperforming Qwen 2.5 7B (63.9%), and LLaMA 3.1 8B (58.7%). Notably, Mistral demonstrates higher semantic alignment (embedding similarity: 0.865) despite lower lexical overlap (BLEU: 0.097), indicating that semantic understanding and robust reasoning are more predictive of task success than surface-level conformity to reference text in specialized domains. By combining expert organized data, well structured Q/A pairs, semantic quality control, and efficient model adaptation, this work contributes towards providing support for farmer facing agricultural decision support tools and demonstrates the feasibility of deploying compact, high-performing language models for practical field-level pest management guidance.

Assessing Impact: Ratio Studies Using Demographic Data, Josh Myers

GIS/ValuationTechnologies Conference 2026

Ratio Studies usually focus on measuring equity using data known directly by a valuation agency during the valuation process, such as location, quality, and building size. However, in assessing the human impact of the valuation process, it can also be helpful to measure equity using demographic data that was not directly included in the valuation process. This presentation does exactly that using data from Mecklenburg County, NC and GIS data derived from the US Census Bureau’s 2020 American Community Survey.

Machine Learning For Ratio Studies, Paul Bidanset, Joe Wehrli

GIS/ValuationTechnologies Conference 2026

Ratio studies are an essential tool for evaluating the fairness and uniformity of assessments, but performing them thoroughly can be time consuming and limited by traditional spreadsheet methods. This session explores how machine learning can be applied to ratio study data to identify inequities and patterns that may not be visible through simple statistics. Participants will see how machine learning such as SHAP and recursive partitioning methods can detect areas or submarkets where ratios diverge, suggesting potential issues with valuation or data quality. The focus is on plain language interpretation and practical understanding rather than complex coding, showing how assessors …

The Round Table, Tennessee Ornithological Society

The Migrant - Tennessee Ornithological Society

No abstract provided.

Bridging Economic Growth And Literacy: Mediation–Moderation Pathways Linking Agriculture, Environment, And Poverty Reduction Across Asian Economies, Muhammad Abubakar, Wasim Abbas Shaheen, Umair Umer

Business Review

In the framework of reducing poverty, this study explores the numerous connections between economic, environmental, and agricultural aspects, paying particular attention to the moderating role of literacy. The Study aims to assess how agricultural employment, arable land, forest area, fertilizer usage, and ecological resources shape poverty outcomes in Asia. Utilizing panel data from 46 nations between 2000 to 2023, sourced from the World Development Indicators, the analysis applies advanced econometrics such as FMOLS and DOLS, alongside a panel co-integration framework validated through panel unit root and cointegration tests. Results indicate that agricultural employment significantly reduces poverty, arable land has mixed …

Evaluating Clinical-Academic Partnerships In Physical Therapy Education: A Critically Appraised Topic On Available Assessment Tools, Jocelin Friedman, Hannah Bennett, Rachel Atkinson, Leona Hidalgo

Pacific Journal of Health

Scenario: Physical Therapy Clinical Education represents a significant component of curricula and requires cooperation between academic institutions and clinical education sites (CES). Curriculum structure variation, clinical instructor availability, and student internship demands impact the academic institutions and CES partnership. For stakeholders, communication of expectations and the individuality of the student placement workflow can strain partnerships. Longevity of the clinical-academic partnership depends on effective evaluation incorporating perspectives of both parties. Question: Are there bi- directional assessment tools or protocols available to help academic institutions and CES to evaluate each other in the areas of administrative and collaborative performance? Methods …

Impact Networks: Leading Community Collaboration On Difficult Issues (White Paper), Raymond Fitz, Dick Ferguson

Writings on Leadership in Community

The book Impact Networks by David Erlichman, published in 2021, provides a comprehensive picture of how impact networks are working throughout the world on complex issues. Such networks move beyond hierarchical structures that are based on authority. Organizations within networks share at least one purpose and define their success as network participants based on their impact on the network issue, not on agency growth.

This paper is focused on local use of impact networks to address difficult issues that do not have clear pathways to solutions. Our experience with a network formed more than 30 years ago in response to …

Res Historica, Volume 5, Alpha Rho Epsilon Phi Alpha Theta, Lindsay Rae Smith Privette Phd

Res Historica

The 2026 journal of historical research by Anderson University students, Res Historica.

The editorial team for this edition of Res Historica was Dr. Lindsay Rae Smith Privette, Julia Ackerman, Callyn Wright, Logan Davis, and John Hinton. Cover art by Mary Beth Lee.

2026 Spring Quiz & Quill Magazine, English Department

Quiz and Quill

Table of Contents:

• Front Cover: The Patriarch by Rachel Malek
• Letter from the Editors by Freddie Borer & Wrenne Grone
• Running Out of Steam by Rachel Malek
• 10/20 by Julia Tenbusch
• An Ode to South Bend the Home That Never Was by Anna Leslein
• I Am Wanted by Maya Sivillo
• Two Decades and More... by Liticia Makhloufi
• Inner Conflict by Liticia Makhloufi
• June 14th by Grace McKenney
• No Expectations by Anna Leslein
• Ode to Carelessness by Gracie Barton
• Season of Gratitude by Julia Tenbusch
• Wired Words by Liticia Makhloufi
• Picking Bugs Out of Ayesha Erotica's Hair in the Backseat by …

Implementation Of A Human Donor Breastmilk Education Program On The Usage Rates Of Pasteurized Human Donor Breastmilk For Supplementation Of Breastfed Infants In The Well-Baby Nursery, Nicole Sadorra

Doctor of Nursing Practice Projects

Background: Exclusive breastfeeding provides significant health benefits for infants and lactating individuals; however, national rates remain below Healthy People 2030 targets. Evidence suggests that infants supplemented with pasteurized human donor breast milk (HDBM) during postpartum hospitalization have higher exclusive breastfeeding rates at discharge and at six months. At a suburban Maryland hospital, formal HDBM education was not routinely provided, contributing to low utilization and stagnant breastfeeding rates.

Purpose: To determine whether implementing a structured HDBM education program for postpartum parents increases HDBM supplementation among breastfed infants and improves exclusive breastfeeding rates at discharge.

Methods: This pre-/post-test quality improvement project was …

Fcrh Honors Program: 2025-26 Year In Review, Fcrh Honors Program

FCRH Honors Program Newsletters and Reports

No abstract provided.

Subaltern Women, State Neglect, And Climate Precarity: Rethinking Forest Landscape Governance In Indonesia, Titiek Kartika Hendrastiti, Siti Kusujiarti

The Indonesian Journal of Socio-Legal Studies

This article examines the social positioning and struggles of subaltern women in East Java, Indonesia, within the intersecting conditions of state neglect and climate precarity in Forest Landscape Governance (FLG). Drawing on field research conducted between 2022 and 2023, it employs Postcolonial Feminist Political Ecology (PFPE) and Postcolonial Feminist Participatory Action Research (PFPAR) to analyze how governance regimes simultaneously depend upon yet marginalize women’s ecological labor. Based on field conversations, storytelling, focus group discussions, participatory drawing, and community dialogues in Banyuwangi and Trenggalek, the study shows that subaltern women remain largely invisible within formal governance frameworks, despite their central role …

When The Weeds Strike Back: Rethinking Aphis's Regulation Of Genetically Engineered Plants Post-National Family Farm Coalition V. Vilsack, Reagan Powers

Celebrating WCL Student Authors

No abstract provided.

The Effect Of Moral Potency On Employee Fraud Motive In Organizations, John Kopalchick Iii

PhD in Organizational Leadership

This study examined the drivers of employee fraud behavior. The theory of planned behavior served as the foundation for understanding how moral potency related to employee fraud motive. A sample of 102 auditors and audit-related professionals completed a survey on fraudsters’ behavioral traits. Using quantitative, nonexperimental methods, this study employed correlational and predictive statistical tests to examine the relationship between moral potency and employee fraud motive. Results showed no significant relationship between moral potency and employee fraud motive. The study filled a gap by applying quantitative methods, specifically the employee fraud motive scale, to understand employee fraud behavior in a …

Jurors Taking A Bullet, Jessica Lieb

Northwestern Journal of Technology and Intellectual Property

No abstract provided.

Una Aproximación A La Ia En La Educación Centrada En El Cuidado Para Fomentar La Confianza Y La Motivación Académicas, Izabella Sabharwal De Bessenyey

The International Journal of Ethical Leadership Special Volumes

No abstract provided.

D’Une Approche De L’Ia Éducative Axée Sur La Bienveillance Pour Encourager La Confiance Personnelle Et La Motivation Dans Les Études, Izabella Sabharwal De Bessenyey

The International Journal of Ethical Leadership Special Volumes

No abstract provided.

A Care-Centred Approach To Ai In Education To Cultivate Academic Confidence And Motivation, Izabella Sabharwal De Bessenyey

The International Journal of Ethical Leadership Special Volumes

No abstract provided.

Letter From The Editors - Special Volume 3, Beth Trecasa, Shannon E. French

The International Journal of Ethical Leadership Special Volumes

No abstract provided.

Toute(S) Proportion(S) Gardée(S) ?, Anthony Lupo

The International Journal of Ethical Leadership Special Volumes

No abstract provided.

¿Proporcional A Qué?, Anthony Lupo

The International Journal of Ethical Leadership Special Volumes

No abstract provided.

Christianisme Et Espionnage De L’Emploi Éthique Du Mensonge Et De La Dissimulation Dans La Sécurité Nationale, Brett Newman

The International Journal of Ethical Leadership Special Volumes

No abstract provided.

Cleveland Checkers, Christopher Batarseh, Andrea Wang, William Zhu

The International Journal of Ethical Leadership Special Volumes

No abstract provided.

Cristianismo Y Espionaje La Aplicación Ética De La Mentira Y El Engaño Para La Seguridad Nacional, Brett Newman

The International Journal of Ethical Leadership Special Volumes

No abstract provided.

Christianity And Espionage The Ethical Application Of Lying And Deception For National Security, Brett Newman

The International Journal of Ethical Leadership Special Volumes

No abstract provided.

Casa Milá As A Sensory Laboratory A Neuroarchitectural Approach To Gaudí'S Modernism, María Beltrán Rodríguez, Chloe Sharpe, Alejandro Martínez González, Ivette Caldelas

Artículos científicos

This paper examines Antoni Gaudí’s Casa Milà (La Pedrera) through the lens of neuroarchitecture, exploring how form, light, and texture shape perception and emotional response. Integrating architectural analysis with neuroscience, it proposes an experimental framework combining EEG, eye-tracking, and behavioral data to assess spatial experience within immersive environments. By linking formal complexity to cognitive and physiological responses, the study reveals how Gaudí’s architecture transcends aesthetics to engage the brain’s sensory and emotional systems. The approach positions his work as a bridge between art, science, and urban creativity, expanding our understanding of architecture as a multisensory cognitive phenomenon.