Digital Commons Network^™

An Eco-Inspired Emulsion Membrane Harnessed With Waste Vegetable Oil For Effective Separation Of Ibuprofen: Insights Into Stability, Performance, And Kinetics, Huma Warsi Khan, A. Vijaya Bhaskar Reddy, Parvez Alam Khan, Samsur Akm Rahman, Muhammad Moniruzzaman

Publications and Research

Emulsion liquid membranes (ELMs) have emerged as excellent alternatives for the separation and recovery of biologically active drugs (BADs) from industrial waste at trace concentrations. Conventional ELMs generally utilize toxic petroleum-based solvents (PBS) that pose environmental and health risks. Although virgin vegetable oils have been appeared as sustainable alternatives to PBS, their widespread application is limited by economic constraints, resource sustainability, and competition with the food supply. In contrast, waste vegetable oil (WVO) represents an abundant, low-cost, and eco-friendly alternative, yet its potential as a green diluent for ELMs remains largely unexplored. To address this challenge, present study investigated the …

Hydration-Tunable Ionic Liquid-In-Oil Microemulsions For Increased Transdermal Delivery Of High-Molecular-Weight Proteins, Roy Jabidash, Kiyohiro Toyofuku, Rie Wakabayashi, Yoshirou Kawaguchi, Noriho Jeffrey Kamiya, Muhammad Moniruzzaman, Masahiro Goto

Publications and Research

Transdermal delivery of high-molecular-weight proteins is challenging because of their large molecular size and hydrophilicity, and the barrier properties of the stratum corneum. We report a hydrated ionic liquid-in-oil (HIL/O) microemulsion for transdermal delivery of high-molecular-weight proteins. A biocompatible ionic liquid (IL) composed of cholinium cation and propionate anion, optimized at 45 wt% hydration, was developed as a protein-compatible solubilization medium that dissolved ovalbumin (molecular mass ∼ 45 kDa) and bovine serum albumin (molecular mass ∼ 66 kDa), whereas lower hydration levels were insufficient for effective protein dissolution. Following solubilization, circular dichroism spectroscopy showed recovery of the native-like secondary structures …

Scientific Uncertainty As Political Aggression: A Manifesto For Those Who Value Science And Want To Save It From State And Corporate Control, Stephen Demeo

Publications and Research

A manifesto is an opportunity to publicly express strongly held beliefs about a topic that is personally important to an author. It is analytical as it is creative. “Scientific Uncertainty as Political Aggression” is a manifesto that intersects science and politics. It urges those interested in science to examine two different but related topics: scientific uncertainty in measurement—what it is, how it is determined, why it’s important— and the magnification of uncertainty through legal and linguistic tactics used by right-wing politicians and politically supported corporations.

For some time now, the Republican Establishment has cast excessive doubt on scientific findings through …

‘Passing’ The Baton Of Trauma: Queer Failure Of The Women’S Sport Policy Working Group’S Anti-Trans ‘Position’, Meredith M. Bagley, Mary Anne Taylor, Sarah F. Price

Publications and Research

Engaging in critical rhetorical theory and methodology, we interrogate the contemporary landscape of anti-trans backlash in women’s sport. Specifically, we read the ‘TERF wars’ (Pearce et al.) across critiques of biofeminism (Pape) and whiteness (Fischer) while drawing upon critical social science research into trauma-bonding, bullying, and the structural impacts of gender verification policies. Our analysis focuses on the Women’s Sports Policy Working Group (WSPWG), offering a trauma-informed reading of the WSPWG’s ‘Position’ statement to illuminate how lesbian female athletes who were previously slandered for failing to meet femininity norms in sport are unable to overcome that trauma to recognize and …

The Self-Aware Room: A Framework For Operational Self-Awareness In Evolvable Blended Environments, David B. Smith

Publications and Research

The Self-Aware Room (SAR) is a room-scale research environment developed within the larger Balanced Blended Space and Blended Reality Performance System research trajectory. Rather than treating the room as a conventional “smart” environment composed of fixed automation technologies, SAR approaches it as an evolvable blended environment made from physical, virtual, conceptual, sensory, computational, and performative relationships. Its defining feature is not any particular sensor, model, or output device, but the set of transformations through which physical activity becomes structured observation, bounded representation, interpreted state, governed decision, and mediated response.

This paper develops the conceptual and methodological foundations of SAR as …

Antiviral Activity Of The Polyene Macrolide Roseofungin Against Influenza A Virus: In Vitro, In Ovo, And Preliminary In Vivo Evaluation, Ahdrey P. Bogoyavlenskiy, Vladimir Berezin, Pavel Alexyuk, Madina Alexyuk, Irina Zaitseva, Aidar Mukhametkaliyev, Yergali Moldakhanov, Elmira I. Anarkulova, Timur Kerimov, Vyacheslav Dushenkov

Publications and Research

Roseofungin, a polyene macrolide antibiotic produced by Streptomyces roseoflavus, was evaluated for antiviral activity against Influenza A virus using complementary in vitro, in ovo, and preliminary in vivo toxicity models, supported by molecular docking and molecular dynamics simulations. The compound exhibited antiviral activity against multiple influenza A virus subtypes, including an oseltamivir-resistant H1N1 strain, with EC₅₀ values ranging from 2.0 to 2.5 μg/mL and selectivity indices of 20–25. Functional assays demonstrated that roseofungin interfered with early stages of the viral life cycle by reducing viral adsorption and partially inhibiting neuraminidase activity. In virucidal assays, treatment with roseofungin resulted …

Generative Ai Adoption And Perceived Academic Impact Among Undergraduate Students: A Cross-National Study In Indonesia, Tajikistan, And The United States, Vyacheslav Dushenkov, Ernawati Sinaga, Astri Rozanah Siregar, Alamkhon Akhmedov, Saidbeg Satorov

Publications and Research

Generative artificial intelligence (AI) is rapidly transforming higher education, yet comparative evidence from diverse international settings remains limited. This cross-national study examined undergraduate students’ adoption and perceived academic impact of generative AI tools at institutions in Indonesia, Tajikistan, and the United States. A harmonized online survey was administered to 584 undergraduates during Spring 2026 (Indonesia n = 235; Tajikistan n = 226; United States n = 123). The survey assessed AI familiarity, adoption patterns, frequency and purpose of use, perceived academic impact, and factors encouraging AI engagement. AI adoption differed significantly across sites, with the highest adoption observed in Indonesia …

Ai-Powered Knowledge Engines As Research Infrastructure For Systematic Knowledge Discovery, Gary Welz

Publications and Research

This paper proposes knowledge engines as a framework for understanding how intelligent systems — both human and artificial — systematically discover, integrate, and generate knowledge. We argue that history’s greatest scientific minds functioned as knowledge engines, processing information through iterative cycles of ingestion, analysis, synthesis, and communication, guided by curiosity and willingness to challenge established beliefs.

We propose a taxonomy of nine integrated capabilities — ingestion, digestion, analysis, calculation, comparison, connection, association, analogy, and multimodal communication — that any serious knowledge engine must combine systematically. The argument is deliberately integrative: achieving ambitious research goals requires orchestrating all nine capabilities within …

Highly Confident But Slightly Uncertain: A Long Overdue Reinvention Of The School Scientific Method, Teaching - Volume 4, Stephen Demeo

Publications and Research

In Volume 4, the last book of the series, I continue the argument for greater parity between conceptual knowledge—the "what" of science—and methodological knowledge—the "how" of science—but in the context of teacher instruction. To this end, two literature reviews are presented: One on how students build confidence, specifically regarding the reliability or consistency of measurement or results, and the other on scientific uncertainty. Research studies focusing on student misconceptions are summarized and organized from the elementary to the college level. These literature reviews describe invaluable ways for teachers to improve their instruction, while providing examples of experiments that can be …

Chi Meta-Project Ecosystem Overview - Spring 2026, David B. Smith

Publications and Research

This paper offers a high-level account of the Center for Holistic Integration’s (CHI) meta-project ecosystem as visualized in the included system map. CHI provides an organizational structure framed around persistent meta-projects that support and extend individual initiatives across curriculum, scholarly and applied research, infrastructure, artistic production, AI development, cultural inquiry, and external partnerships. Rather than presenting the map as a static inventory of projects, the paper examines how its core domains function as living systems through which knowledge, tools, documentation, participants, and collaborations can accumulate over time. It also considers how CHI-mediated connectivity, institutional integration, and external funding allow the …

Highly Confident But Slightly Uncertain: A Long Overdue Reinvention Of The School Scientific Method, The X - Volume 1, Stephen Demeo

Publications and Research

In Volume 1, I critique the traditional School Scientific Method—an oversimplified, underdeveloped, and short, stepwise process—and argue for a more authentic, detailed, and rigorous approach to experiment-based scientific inquiry in education. I briefly explain the historical roots of the School Scientific Method, its benefits in increasing the exposure of experimental science to the masses, and its limitations in fostering more authentic scientific thinking and experimental practice.

In place of this traditional and problematic method, I introduce a graphic organizer called sciXpsy to foster both big-picture and detailed scientific thinking. The heuristic combines scientific concepts and methodology with the psychology of …

Laminarin-Loaded Solid-In-Oil Nanodispersion For Enhanced Non-Invasive Transdermal Immunization, Md. Shahin Ekka Sarker, Yoshirou Kawaguchi, Rie C. Wakabayashi, Noriho J. Kamiya, Muhammad Moniruzzaman, Masahiro Goto

Publications and Research

Simple and non-invasive transdermal vaccination is an attractive alternative to conventional injection-based immunization. However, the effectiveness of transdermal vaccines is often constrained by the stratum corneum barrier. Although the use of solid-in-oil (S/O) nanodispersion technology has successfully facilitated skin permeation to induce an immunological response, the antibody titers remain suboptimal. Herein, a dectin-1 selective ligand, laminarin, was used as an immunostimulatory adjuvant to enhance the immune response. S/O nanodispersions loaded with laminarin and ovalbumin (OVA) were systematically developed and characterized in terms of particle size, in vitro OVA release behavior, and skin permeation performance using excised mouse skin. In vivo …

Past Present, & Future: Bushwick Inlet Redevelopment, Aaryan Nair

Publications and Research

This report examines how ecosystem structure, hydrology, and material flows in Williamsburg, Brooklyn have changed from pre-colonial conditions to the present and how they are expected to evolve under future climate change. Prior to European colonization, the landscape functioned as a forest–wetland mosaic with high infiltration capacity, slow water movement, and strong nutrient retention. These conditions supported stable aquatic ecosystems and minimized pollutant transport to the East River.

Modern urbanization has fundamentally altered this system. Impervious surfaces and engineered drainage systems have shifted hydrology from infiltration-dominated to runoff-dominated pathways, producing rapid “flashy” flows and reducing water residence time.

Storm events …

The Shrinking Caspian Sea: Eco‐Hydrological Responses To Human And Climate Pressures, Jesse Duku, Mohammad J. Tourian, Marzi Azarderakhsh, Rovshan Abbasov, Ali Mehran, Ali Torabi Haghighi, Stefanos Xenarios, Azara Boschee, Salih Babagiray, Mojtaba Sadegh, Nima Shokri, Ali Nazemi, Alireza Farahmand, Samaneh Ashraf, Temur Khujanazarov, Elmira Hassanzadeh, Dalal Najib, Daniel Placht, Shamshagul Mashtayeva, Ekaterina Rets, Hamid Norouzi, Kaveh Madani, Manoochehr Shirzaei, Hossein Shafizadeh-Moghadam, Chiyuan Miao, Ali Mirchi, Shuo Wang, Amir Aghakouchak

Publications and Research

The Caspian Sea, the Earth's largest inland water body, faces water level decline, drawing comparisons to the collapse of the Aral Sea. Unlike the Aral Sea, the relative roles of climatic variability, hydrological changes, and anthropogenic pressures on the Caspian Sea remain poorly understood. Here, we integrate satellite observations, in situ hydrological records and reanalysis data to examine recent drivers of the Caspian water loss. We show that total river inflow to the Caspian Sea has declined significantly, primarily due to reduced discharge from the Volga River. At the same time, precipitation over the basin has remained broadly stable, while …

Popgenhelpr: An R Package To Streamline And Facilitate Informed Population Genomic Analyses And Visualization Of Genetic Ancestry, Diversity And Differentiation, Keaka Farleigh, Mason O. Murphy, Christopher Marie Blair, Tereza Jezkova

Publications and Research

Analysing large population genomic datasets requires an interdisciplinary skillset. Beyond a knowledge base in genetics and population biology, population genomic analyses involve computer science and statistics, representing a barrier for researchers without experience in those fields. PopGenHelpR seeks to lower this barrier by enabling researchers to perform population genomic analyses and generate near-publication quality figures in a streamlined and informed fashion. PopGenHelpR allows users to estimate genetic diversity within populations as well as differentiation among populations and individuals from single nucleotide polymorphism data. PopGenHelpR includes commonly used measures such as observed heterozygosity and FST. PopGenHelpR also provides five …

Examining Whether The Relationships Between Specific Psychiatric Diagnoses And Both Adolescent Suicide And Reoffending Are Moderated By Sex, Michael T. Baglivio, Katherine Jackowski, Brooke Neupaver, Grayson Black, Bailee Perry, Kevin T. Wolff

Publications and Research

The current study examines the relationships between specific psychiatric diagnoses and both adolescent suicide and reoffending, the implications of adverse childhood experiences on these outcomes, and assesses whether these relationships are moderated by sex. Using a multilayer multiyear statewide sample of 6,515 adolescents who completed juvenile justice residential placements, logistic regression and moderation models were used to examine these relationships. Findings demonstrate that the rate of suicidal ideation was 2.5 times higher for female youth, while the recidivism rate was 1.7 times higher for males. Psychiatric diagnoses prevalence ranged from 65.9% for conduct disorder to less than 1% for personality …

The Effects Of Cinnamaldehyde On Tetrahymena Thermophila, Sydney Kurland

Publications and Research

In addition to their common use as spices in cooking and baking, cinnamon plants, Cinnamomum zeylanicum and Cinnamomum cassia for example, have long been used in herbal remedies worldwide. Cinnamon contains many vital oils and active compounds including cinnamaldehyde (CMD). Numerous studies looking at potential therapeutic effects of cinnamon have demonstrated its antioxidant, anti-inflammatory, and antimicrobial properties (1, 2, 3).   Therefore, it is important to continue studying the efficacy, benefits, and mechanisms of action of cinnamon and CMD to have a complete understanding of its full potential. Tetrahymena thermophila is a ciliated protozoan commonly used as a model organism to …

Assessment Of Lake Water Quality Parameters Using Uav Hyperspectral Imaging, Hasanul Banna, Taufiqa Tajnin

Publications and Research

Monitoring water quality in lakes is critical for assessing ecosystem health, managing drinking water resources, and detecting harmful algal blooms. Unmanned Aerial Vehicle (UAV)–based hyperspectral imaging provides a promising approach for high-resolution observation of water quality parameters. In this undergraduate research project, hyperspectral imagery collected over sample lakes within the Delaware River Watershed was processed using BaySpec’s CubeStitcher software to assess its capability to detect variations in chlorophyll-a (Chl-a) concentrations. This work was conducted as part of a National Fish and Wildlife Foundation (NFWF)-funded project in collaboration with Princeton Hydro and NYC College of New York. Hyperspectral image cubes were …

Long Work Hours, Suboptimal Diabetes Management, And Differences By Sex And Race/Ethnicity, Nhanes (2011-2018), Tailisha Gonzalez, Margrethe Horlyck-Romanovsky, Terry T.-K. Huang, Sandra E. Echeverria

Publications and Research

In the United States (US), occupational segregation by sex and race/ethnicity can contribute to health disparities. Although work schedule characteristics have been previously linked to elevated cardiovascular risk, little is known about the effects on chronic disease management in women and minoritized workers. We examined the association between work hours and diabetes management among US workers, testing for differences by sex and race/ethnicity. We utilized 2011–2018 National Health and Nutrition Examination Survey (NHANES) data on working adults (age ≥20 years) with diagnosed diabetes (n = 1041). Suboptimal diabetes management was defined as HbA1c ≥7%. Work hours were categorized per WHO …

Ai Method For Classification Of Diagnosis Of Near-Infrared Breast Lesion Images, Kaiquan Chen, Fangyang Shen, Honggang Wang, Zhengchao Dong, Jizhong Xiao, Ming Ma, Afroza Aktar, Christopher Chow, Wenxiong Zhang

Publications and Research

In near-infrared optical breast lesion screening and diagnosis systems, high-speed four-dimensional scanners can dynamically acquire tens of thousands of lesion images within a five-minute period. Currently, manual computer annotation is required to generate standard samples from these scanned breast lesion images, a process that depends heavily on physicians with clinical expertise. On average, a single physician can annotate only approximately ten samples per working day. As a result, this process is time-consuming and labor-intensive, and the collected samples often suffer from low accuracy, large variability, and limited diagnostic reliability. Several AI-based annotation tools, such as QuPath, HALO AI™, and X-AnyLabeling, …

Structural Basis Of Anthocyanin-Mediated Modulation Of Il-2, Il-17, And Tnf-Α: A Docking And Molecular Dynamics Study, Andrey Bogoyavlenskiy, Adolat Manakbayeva, Timur Kerimov, Igor Yershov, Madina Alexyuk, Pavel Alexyuk, Vladimir Berezin, Vyacheslav Dushenkov

Publications and Research

Anthocyanins are naturally occurring flavonoid pigments widely distributed in plants and are recognized for their antioxidant and anti-inflammatory activities. However, the molecular mechanisms underlying their potential immunomodulatory effects remain poorly characterized, particularly regarding their direct interactions with key signaling cytokines. In this study, a set of selected anthocyanins was investigated using a hierarchical computational workflow targeting three major pro-inflammatory cytokines: interleukin-2 (IL-2), interleukin-17 (IL-17), and tumor necrosis factor-α (TNF-α). Molecular docking analyses identified primulin and antirrhinin as the most favorable binders, forming stabilizing hydrogen bonds and hydrophobic interactions within predicted cytokine interaction interfaces. To further assess the stability of these …

Why General Ai Inherited The Body: A Structural Account Of Embodied Modulation Under Monolithic Imitation, Griselda Poe

Publications and Research

General AI has pursued the replication of human-level intelligence without first decomposing human cognition into structurally distinct components. Human cognition, however, is shaped by embodied constraints such as mortality, survival pressures, finite lifespan, and physiological states. This paper argues that when cognition is treated as a single undifferentiated whole, embodied modulation is not accidentally introduced into AI systems but structurally entailed. Any attempt to imitate “human intelligence” under a monolithic model necessarily incorporates variability shaped by mortal embodiment. The tensions observed in contemporary AI systems are better understood as consequences of copying an undecomposed target rather than isolated implementation errors. …

What Race Means For Health Among Black Americans: How Microaggressions Shape Self-Efficacy And Readiness For Behavior Change, Amanda Lee Almond

Publications and Research

Objectives: Persistent racial disparities in cardiovascular health among Black Americans reflect not only structural inequities in the United States, but also the racialized meanings of cardiovascular disease reproduced through public and private health communication. Drawing on ecological systems theory, this research examines how beliefs linking race and cardiovascular disease are reinforced through routine clinical interactions and how these meanings shape health behavior change. Method: Across two experimental mixed-methods studies, a model integrating ecological, social–cognitive, and behavior-change frameworks was tested. In Study 1 (N = 374), health-message framing was experimentally manipulated to examine effects on self-efficacy and decisional balance while controlling …

An Autoethnographic Study Of A Technical Services Librarian’S Teaching Journey During The Tenure Track: “Define Myself For Myself To Both Survive And Thrive”, Junli Diao

Publications and Research

This autoethnographic study explores the disorienting dilemma that a technical services librarian experienced while alternating between working behind the scenes to fulfill professional responsibilities and teaching in the library to meet organizational expectations as a faculty member. The analysis of personal data accumulated during the tenure track period reveals three themes: teaching as learning to become, teaching as learning to challenge the system, and teaching as learning to research. Reflection focuses on three themes interconnected by the concept and practice of mindful learning. With the acknowledgement of limitations, this autoethnography concludes it was the self-reflective lifelong learning mindset that helped …

Hidden In The Mist: Three New Species Of Salamanders Of The Genus Pseudoeurycea (Amphibia: Plethodontidae) From Oaxaca, Mexico, Eduardo A. Aguilar-Herrera, Salomón Sanabria-Urbán, Dulce L. Flores-Martínez, José David Gómez-Tapia, Misael Seba-Chacha, Leopoldo D. Vázquez-Reyes, Francisco A. Rivera-Ortíz, Patricia Ramírez-Bastida, Bruno Cortés-Ortiz, R. Alejandro Calzada-Arciniega, Etienne U. Avila-Ortega, Dónovan I. Víquez-Vega, Omar Hernández-Ordoñez, Christopher Blair, Víctor H. Jiménez-Arcos

Publications and Research

We describe three new species of lungless salamanders (Plethodontidae) in the genus Pseudoeurycea from Cerro Rabon, located on the eastern slopes of the Sierra Mazateca, Oaxaca, Mexico. This mid-elevation mountain, largely surrounded by warmer lowlands, remains relatively understudied. We present molecular and morphological evidence distinguishing the three new species from their congeners. According to our phylogenetic analysis, one of the new species belongs to the P. leprosa group, while the other two are members of the P. juarezi group. Notably, one of the new species represents the fourth worm salamander known from west of the Isthmus of Tehuantepec, and another …

What Race Means For Health Among Black Americans: How Microaggressions Shape Self-Efficacy And Readiness For Behavior Change, Amanda Lee Almond

Publications and Research

Objectives: Persistent racial disparities in cardiovascular health among Black Americans reflect not only structural inequities in the United States, but also the racialized meanings of cardiovascular disease reproduced through public and private health communication. Drawing on ecological systems theory, this research examines how beliefs linking race and cardiovascular disease are reinforced through routine clinical interactions and how these meanings shape health behavior change. Method: Across two experimental mixed-methods studies, a model integrating ecological, social–cognitive, and behavior change frameworks was tested. In Study 1 (N = 374), health-message framing was experimentally manipulated to examine effects on self-efficacy and decisional balance while …

Infection Control Across Clinical And Laboratory Dental Settings Protocols, Risks, And The Role Of Emerging Technologies, Khrystyna Vyprynyuk, Laura Andreesku

Publications and Research

This article explores infection prevention strategies and disease transmission pathways in dental settings, emphasizing the critical connection between clinical practice and dental laboratories. It highlights the risks of cross-contamination, disinfection and sterilization challenges, and the growing role of technology in enhancing infection control.

Archives And Children's Knowledge, Elliott Kuecker, Ashley Rockenbach

Publications and Research

This article argues for the importance of collecting works created by children—not just about and not just for—in formal archival collections. Framed through the ideas of legitimate knowledge and epistemic injustice, this piece combines notions important to children’s rights activists and childhood studies scholars with the role archives can play in preserving children’s knowledge through child-created materials. The authors describe how researchers struggle to find work created by children within archives, impacting the ability to create child-centered research that centers children’s views of the world as prominently as adult views of the world. Some collections that do include child-created materials …

Modeling Mineral Redistribution In Biological Tissue Using Apple As An In Vitro Analogue, Daler Djuraev, Ali Algemsh, Halima Alazeb, Zeenia Ahmed

Publications and Research

This project aims to model mineral (ion) redistribution that occurs in human soft tissue after injury or mechanical/thermal stress. Because direct, repeatable in vivo measurements are difficult, we use apples as an in vitro analogue: their mineral content is relatively uniform and the tissue can be cut, dried, and repeatedly imaged under controlled conditions. Using X-ray imaging, we tracked how minerals in apple tissue move toward damaged regions immediately after cutting, and how subsequent drying at room temperature drives a redistribution toward the central core. We also observed that biological degradation (decay) alters mineral density over time, indicating that even …

Grapes Cure Cancer: My First Molecular Docking Analysis Of Resveratrol Binding To Anti-Apoptotic Protein Bcl-2: In Silico, Sydni Ann Kolokoltsev, Vishwas Joshi

Publications and Research

B-cell lymphoma 2 (BCL-2) is an anti-apoptotic protein frequently overexpressed in cancer, enabling tumor cells to evade programmed death. Resveratrol, a grape-derived polyphenol, has reported anticancer properties. Here we performed in silico docking of resveratrol to human BCL-2 using AutoDock Vina. The best-ranked pose exhibited a predicted binding free energy of 8.0 kcal/mol and formed at least one short hydrogen bond (~1.8 Å) with pocket residues. These results support further evaluation of resveratrol as a potential modulator of BCL-2-mediated apoptosis.