Digital Commons Network^™

Becoming Relaxed, Chung Gil Lee

KAUPA Letters

No abstract provided.

A Survey On Identifying Deepfake Risks In Newspapers For Enhanced Cybersecurity Protection, Young B. Choi

KAUPA Letters

The increasing sophistication of deepfake technology poses significant challenges to cybersecurity, particularly in the realm of information dissemination. While deepfakes have historically been associated with social media and video platforms, their potential impact extends to traditional news outlets, such as newspapers. This brief survey paper explores the presence of deepfake flavors in newspaper articles and the potential cybersecurity implications they introduce. It also provides strategies for detection, mitigation, and protection, focusing on maintaining the integrity of media content and protecting against emerging cybersecurity threats.

Ai Reviewer And My Comments Of The Essay, “The Misuse And Abuse Of The Concept Of Civilization”, Yeomin Yoon

KAUPA Letters

No abstract provided.

The Lesson Of Confucius For Today’S America: Education In Ethics Is The Road To Building A Just And Peaceful Society, Yeomin Yoon

KAUPA Letters

According to Confucius, what confers humans their special status and dignity among beings in nature is the moral virtues they can achieve. Humans should build good character, for which they need education to acquire values. He found no correlation between the ability to learn and the socio-economic status. He believed that people with the ability to learn deserved an opportunity to learn. Confucius would not approve of the prevalent American conception of education as transmitting technical knowledge and skills to students without an education in the values to promote by their use. Purely technical education would be an oxymoron for …

Why English Matters: The Case For Majoring In It, John J. Han

KAUPA Letters

No abstract provided.

The Challenges Of Academic Publishing, Young B. Choi

KAUPA Letters

No abstract provided.

Words Of Wisdom, Semoon Chang

KAUPA Letters

No abstract provided.

We Need Another Voice — Taoism To Zen Buddhism, Don S. Lee

KAUPA Letters

No abstract provided.

Impact Flc Report Fall 2024: A Report By The Impact Evaluation Team, Evaluation And Learning Research Center, Impact Evaluation Team

IMPACT Reports

This is the 2024 Fall report of Instruction Matters: Purdue Academic Course Transformation (IMPACT) Week. IMPACT was created in 2010, and is a large collaborative initiative on the Purdue West Lafayette campus involving multiple key partners across campus including the Office of the Provost, Center for Instructional Excellence (CIE), Purdue Online (PO), Purdue Libraries and School of Information Studies (Libraries), the Evaluation and Learning Research Center (ELRC), and Institutional Data Analytics and Assessment (IDA+A). IMPACT works with instructors to redesign large enrollment, foundational courses with the aim of engaging students more fully in their learning and creating a more student-centered …

Co-Creating Ai Learning Solutions: A Qualitative Analysis Of Student And Faculty Deliverables In An Algorithmic Literacy Learning Community, Samantha Legrand, Zoeanna Mayhook, Jing Lu

Libraries Faculty and Staff Scholarship and Research

This research describes the conceptual development and insights from implementation of Partners for Algorithmic Literacy (PAL) - a groundbreaking student-faculty learning community model, facilitated by academic librarians, where undergraduates and instructors partner to co-design curricular plans integrating or interrogating AI in the classroom. In the fall of 2023 and 2024, two cohorts in this learning community were partnered. In weekly sessions, partners experimented with AI tools and engaged PAL’s novel Algorithmic Literacy Pedagogy Framework to guide their conversations and co-design process.

Employing qualitative content analysis, an in-depth exploration is underway to glean valuable insights from the student-faculty partners’ personal reflections, …

Creative Readers: Arts Programming For Special Needs Inclusion At The Public Library, Elise May

Journal of the Arts and Special Education

Creative Readers, an arts & literacy inclusion program and winner of the 2017 National Arts and Humanities Youth Program Award, turns books into a multi-sensory experience for K- 6^th grade students offering all learners the ability to be challenged, motivated and successful. Using theater, art, movement and music each lesson enables participants to bring a book to life, increasing their love of literature while exploring their strength of expression through the arts. The program also offers a space for unique learners of all abilities, to socialize and work together creatively. High school volunteers are paired with participants to model …

Selected Artificial Intelligence Provisions In U.S. Fiscal Year 2025 National Defense Authorization Act, Bert Chapman

Libraries Faculty and Staff Presentations

The 2025 Fiscal Year National Defense Authorization Act contains multiple provisions relating to artificial intelligence (AI). These congressionally mandated provisions direct various sections of the Department of Defense (DOD) and individual U.S. armed service branches to execute congressional intent for AI policymaking. Examples of such intent include identifying and planning DOD's AI workforce, demonstrating AI biotechnology applications for national security, improving the human usability of AI systems, and establishing an AI security center. This presentation will note that reports on these initiatives must be prepared for relevant congressional oversight committees, and, in many cases, are in many cases, publicly released …

Traceable And Scalable Food Balance Sheets From Agricultural Commodity Supply And Utilization Accounts (2010–2022), Xin Zhao, Maksym Chepeliev, Neus Escobar, Matthew T. Binsted, Pralit Patel, Page Kyle, Marshall A. Wise

Department of Agricultural Economics Faculty Publications

The Food Balance Sheets (FBS), compiled by the Food and Agriculture Organization (FAO), serve as a cornerstone dataset for studies on agricultural development, food security, and dietary health, providing a broad overview of global and regional food systems. However, its limited transparency and scalability hinder its application in empirical analysis and multisector dynamic modeling. Here, we present a traceable Food Balance Sheets (T-FBS) dataset, developed from detailed Supply Utilization Accounts (SUA) using a novel Primary Commodity equivalent (PCe) aggregation approach. This framework enables the aggregation of commodity flows along supply chains while ensuring consistency and balance across multiple dimensions. The …

To Diversify Or Not To Diversify: A Preliminary Report On Farmers’ Perspectives On Diversification In The U.S. Midwest, Lauren Asprooth, J. Gordon Arbuckle, Rebecca Traldi, Sarah P. Church, Kristin Floress, Benjamin M. Gramig, Andrew J. Margenot, Elizabeth Maynard, Aaron Thompson, Ariana P. Torres, Emily M. Usher, Ishraq Awashra, Katherine Pivaral, Finnleigh S, Woodings, Linda Stalker Prokopy

Department of Horticulture & Landscape Architecture Faculty Publications

Diversifying the simplified landscape of corn and soybeans in the Midwest is an emerging priority in both the public and private sectors to reap a suite of climate, social, agronomic, and economic benefits. However, little research has documented the perspectives of farmers, the primary stakeholders in diversification efforts. This preliminary report uses newly collected survey data (n = 725) from farmers in the states of Illinois, Indiana, and Iowa to provide descriptive statistics and tests to understand what farmers in the region think about agricultural diversification, including their perspectives on its benefits, barriers, and opportunities. For the purposes of the …

Beyond Core Object Recognition: Dnns As Models Of Dynamic Scene Perception, Matthias Tangemann, Matthias Kümmerer, Matthias Bethge

MODVIS Workshop

Deep neural networks (DNNs) have become influential computational models of human vision, particularly in explaining neural responses in the ventral stream. However, they frequently diverge from well-established findings in psychophysics, especially with regard to human perceptual biases, robustness, and generalization behavior. Much of the progress in aligning DNNs with human perception has focused on the task of core object recognition—the rapid identification of objects in static images (DiCarlo et al., 2012). In contrast, other critical dimensions of visual perception, such as motion processing and multi-object scene understanding, remain comparatively underexplored. In this talk, I present our recent work on modeling …

Capturing The Representational Dynamics Of Face Perception In Deep Recurrent Neural Networks, Hossein Adeli, Chase W. King, Nikolaus Kriegeskorte

MODVIS Workshop

We investigate the representational dynamics of recurrent convolutional neural networks (RCNNs) in order to understand the time-course of visual recognition. We explore a family of models with bottom-up and lateral connections that were optimized for face-identification and object-recognition tasks. Using representational similarity analysis (RSA), we observed that only models that were trained for face identification showed a late-emerging prominent distinction of identities as seen in the monkey face patch AM. Early model responses strongly separated the objects from the faces. These findings suggest that the dynamics of face recognition that emerges in a hierarchical recurrent neural network prioritizes category-level recognition …

Attention Improves Classification Performance Of Locations In Ventral And Dorsal Visual Pathways, Jinho Lee, Sung-Mu Lee, Ishita Agarwal, Anne Sereno

MODVIS Workshop

Visual processing is divided into a ventral and dorsal pathway, thought to be important for object recognition and spatial cognition, respectively. Yet both streams encode shape and spatial information, and both are modulated by attention and task demands. This study compared how attention influences fMRI bold responses in a ventral region (fusiform gyrus, FG) and dorsal region (superior parietal gyrus, SPG). Specifically, using multivariate pattern analysis within each region, we examined whether attention modulated spatial location classification performance. During fMRI scans, participants performed one of 3 possible tasks: a 1-back task under attend-to-shape (detect a shape repetition); a 1-back task …

Effect Of Response Bias On Threshold Estimates In Confounded N-Alternative Optional Choice Experiments, James J. Blaha, Benjamin T. Backus, Thaddeus B. Czuba

MODVIS Workshop

Three modifications of the familiar 2-AFC task can be useful when collecting data to estimate sensory thresholds from unpracticed participants: (1) Make responding optional, which relieves the participant from having to guess when they are uncertain; (2) Provide N>2 alternatives, which reduces the number of trials to estimate threshold; and (3) Confound the alternatives with an independent variable, for example by having participants choose visual field locations as alternatives when measuring threshold separately at each visual field location, which reduces the number of trials through multiplexing. The N-alternative optional-choice experiment (N-AOC) and its confounded variant have not been studied …

The N-Alternative Optional Choice Experiment, Benjamin T. Backus, James J. Blaha, Thaddeus B. Czuba

MODVIS Workshop

When testing visual function in clinical settings, one encounters test-takers who have difficulty following a forced-choice instruction when stimulus intensity is low. “I didn’t see anything, why do I have to guess?” An optional-choice paradigm makes it easier for these test-takers to provide data. Here we describe a theory of signal detection for N-alternative optional-choice (N-AOC) psychophysical tasks. The theory generalizes two well-known paradigms into a single framework: the theory for yes-no tasks is a degenerate case in which N=1, and the theory for N-alternative forced choice tasks (N-AFC) is a degenerate case in which the decision criterion is liberal. …

Bell Telephone System’S Preeminent Role In The Growth Of Industrial Design, Ralph O. Meyer, Russell A. Flinchum

Purdue University Press Books

Histories of design pay scant attention to the corded telephone, which played an immeasurable role in early communication. Although the Bell System, with many Nobel Prizes, is justly acknowledged for its technical prowess, it should also be recognized for its early and considerable impact on the developing discipline of industrial design. In 1930, young Henry Dreyfuss, who would later become known as a pioneer of industrial design, was retained by the Bell System as a design consultant and matured in that environment. With substantial input from Bell System engineers, Dreyfuss and his staff produced attractive telephone designs that were manufactured …

Research And Reflections On Southeast Asian American Education And Advancement, Wayne E. Wright, Vikrant Chap, Phitsamay S. Uy, Chhany Sak-Humphry, Vichet Chhuon, Bryan Thao Worra

Purdue University Press Books

This book is in commemoration of the twentieth anniversary of the Journal of Southeast Asian American Education and Advancement (JSAAEA) and the fiftieth anniversary of Southeast Asian American refugee resettlement in the United States. Pivotal research articles, reviews, and creative works from past issues of JSAAEA have been selected for this volume to document the history and experiences of Cambodian, Laotian, Hmong, and Vietnamese Americans since initial refugee resettlement began in the United States in 1975, as well as the experiences of more recent Southeast Asian immigrant and refugee groups. Reviews of academic books, novels, memoirs, children’s books, and motion …

Comparing Apples To Oranges From Photoreceptors To Inferotemporal Cortex, Qasim Zaidi, Xu Yi, Akihito Maruya, Bevil Conway

MODVIS Workshop

No abstract provided.

Perceptograms And Cortical Models For Amblyopic Form Distortions, Akihito Maruya, Farzaneh Olianezhad, Jingyun Wang, Jose-Manuel Alonso, Qasim Zaidi

MODVIS Workshop

No abstract provided.

Bayesian Model Predicts Confidence In Perceptual Decision, Xinyi Yuan, Ralf M. Haefner

MODVIS Workshop

No abstract provided.

A Model Of V1 Complex Cells Based On Factorizing Amplitude And Phase, Galen Chuang, Bruno Olshausen

MODVIS Workshop

How does visual cortex form increasingly complex and invariant representations? We address this question starting from our understanding of natural images and V1. Although it is well-known that the relative phases of frequency components in images contain important structure, the standard model of V1 complex cells discards phase information within the receptive field. We propose a model for disentangling invariances and their accompanying transformations based on a complex-valued sparse coding model adapted from Cadieu & Olshausen 2012. This model makes phase information explicit by factorizing images into both phase and amplitude components, with structure represented by amplitude and phase patterns, …

Influence Of Task On The Geometry Of A Perceptual Space, Jonathan D. Victor, Mary M. Conte

MODVIS Workshop

Perceptual spaces are representations of a sensory or cognitive domain in which the domain’s elements correspond to points, and distances between these points are perceptual differences. Proximity relationships within a perceptual space can support a variety of functions, including discrimination, grouping, learning, and generalization. These diverse functions may use the features of the domain in different ways, resulting in task-dependent influences on the geometry of the space.

To identify and characterize these influences, we focused on a domain of visual textures. These textures varied across many dimensions, including mean luminance and low- and high-order spatial correlations, which formed the axes …

Using Neural Networks To Better Understand Static And Dynamic Components Of Facial Expression Recognition, Yi-Fan Li, Anne Bibiana Sereno

MODVIS Workshop

Facial expressions are crucial social information for human communication. In the real world, facial expressions are dynamic; however, much of existing research in facial expressions relies on static stimuli. This static approach may limit the ecological validity of our understanding of the emotional information on faces. Our study aims to investigate the dynamic and static information contained in different emotional categories of facial expressions (e.g., happy, sad). Four convolutional neural networks are introduced as models to be trained with a large-scale dynamic facial expression dataset (short videoclips of 16 frames of 7 different emotional categories) in four different ways: ordered …

Bilateral Symmetric 3d Reconstructor (Biased): A 3-Dimensional Object Re- Construction Model Demonstrating Human-Like Shape Constancy, Doreen Hii

MODVIS Workshop

No abstract provided.

Modeling Effects Of Edge Classification And Perceptual Organization On The Appearance Of Disk/Annulus Stimuli, Michael E. Rudd

MODVIS Workshop

In classical theories of sensory psychophysics, appearance matches conducted with simple stimuli consisting of disks surrounded by annuli were posited to probe low-level contrast mechanisms in the visual pathways that computed the approximate luminance ratio between the disk and annulus for the purpose of achieving lightness constancy (Wallach, 1948). Subsequent models have explained such matches on the basis of neural edge integration (Shapley & Reid, 1985; Rudd & Zemach, 2004). Here, I demonstrate that appearances matches made in the disk/annulus paradigm are influenced by at least two types of top-down effects involving edge classification and perceptual organization. I present a …

Fixational Eye Movements Shake Up The Stationary View On Pattern Vision, Lynn Schmittwilken, Marianne Maertens

MODVIS Workshop

No abstract provided.