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Lanthorn, Vol. 60, No. 11, February 9, 2026, Grand Valley State University

Volume 60, August 4, 2025 – April 20, 2026

Lanthorn is Grand Valley State's student newspaper, published from 1968 to the present.

Generalization Under Sub-Population Shift: Equitable Models For Imbalanced, Long-Tailed, And Fair Representation Learni, Faizanuddin Ansari

Doctoral Theses

Machine learning systems often experience performance degradation in real-world scenarios due to subpopulation shift defined as mismatches in the distribution of classes or attributes within datasets. This thesis investigates generalization failures arising from class imbalance, long-tailed distributions, and attribute-level biases (specifically, attribute-level biases that originate from demographic imbalances in sensitive domains, such as medical imaging). It proposes principled strategies to mitigate these effects in both classical and deep learning frameworks. Class imbalance and long-tailed distributions pose significant challenges, especially in real-world applications where minority classes are underrepresented yet critically important. To address these challenges, this work develops novel algorithms and …

Striation Characteristics In Atmospheric Pressure Ac-Driven Glow Discharge Operating In Monoatomic Gas, Ayuob K. Alwahaibi, Sang Hee Won, Tanvir Farouk

Faculty Publications

Striation in an atmospheric pressure AC-driven helium glow discharge operating at 25 kHz is experimentally characterized. Striation behavior is characterized by the visualization of discharges and voltage–current measurements over a range of plasma power. Voltage–current characteris tics reveal that striations form in the “normal” glow regime of operation, with a higher number of strata at low current, diminishing as dis charge current increases. The relative differences and similarities in the striation patterns during the positive and negative cycles are identified. High-speed imaging shows the striations to be traveling in time—“moving striations.” The spatial luminosity of the striations is tracked over …

High-Throughput Multi-Organ Proteomics Workflow For Drug Efficacy And Toxicity Analysis, Yun Xiong, Lin Tan, Wai-Kin Chan, Dandan Zhu, Huimin Zhang, Eric S Yin, Sri Ramya Donepudi, Jibin Ding, Bo Wei, Bao Tran, Sara Martinez, Iqbal Mahmud, Faiza Hanif Waghu, Hamish I Stewart, Daniel J Hermanson, Rehan Akbani, John N Weinstein, Junjie Chen, Philip L Lorenzi

Faculty, Staff and Student Publications

Rapid and comprehensive analysis of complex proteomes across large sample sets is vital for unlocking the potential of systems biology. We present a high-throughput mass spectrometry (MS) proteomics method that integrates narrow-window data-independent acquisition (nDIA) with short-gradient micro-flow chromatography, enabling profiling of >240 samples per day. This optimized MS approach identifies 6,201 and 7,466 human proteins with 1- and 2-min gradients, respectively. As a practical application, we analyzed 507 samples composed of 13 different tissues from mice treated with the enzyme-drug L-asparaginase (ASNase) or its glutaminase-free Q59L mutant, generating a quantitative profile of 11,472 proteins following drug treatment. The MS …

Equal Chances Or Fewer Victims? Moral Judgments In Autonomous Vehicle Dilemmas, Alexander Matros, Eren Bilen, Leonid Matros

Faculty Publications

We examine the moral dilemma of how autonomous vehicles (AVs) should be programmed to act in unavoidable crash scenarios involving trade-offs between saving one life and saving many. We report results from three experimental studies that investigate individuals’ preferences over alternative AV decision rules in stylized crash scenarios. Across designs, we find robust support for a probabilistic decision rule that assigns passengers and pedestrians equal ex ante chances of survival (a 50:50 rule). This preference persists across different framings and remains salient even when additional probabilistic options are introduced.

Brief Of Amicus Curiae Contract Law Scholar Gregory Klass In Support Of Plaintiffs-Appellees, Climate United Fund V. Citibank, N.A., No. 25-5122 (D.C. Cir. Feb. 9, 2026)., Gregory Klass

Georgetown Law Faculty Publications and Other Works

In early 2025, the EPA sought to freeze grant funds that had been distributed from the Greenhouse Gas Reduction fund and then sent recipients notices purporting to terminate awards. Recipients sued in District C out, claiming that the EPA’s actions failed to comply with the APA, the US Constitution, and other generally applicable laws. In response, the government argued that the plaintiffs’ claims were contractual in nature and so, under the Tucker Act, belonged in the Court of Federal Claims.

This amicus brief to the DC Court of Appeals sitting en banc addresses the government’s argument that reinstating the grants …

Cationic Poly(Glucosamine)-Based Polymers Bind To Glycans With Varying Affinity Facilitating Transport Across The Glycocalyx Of Endothelial Cells, Claire Bridges, Lu Fu, Dan Wang, James D. Sterling, Susanna Liang, Shenda M. Baker, Jonathan Yeow, Megan S. Lord

Business and Information Technology Faculty Research & Creative Works

Natural polysaccharides, such as chitosan, offer promising avenues for drug delivery due to their cytocompatibility and ability to interact with cell surfaces. However, the endothelial glycocalyx, a glycan-rich extracellular matrix, presents a barrier that must be navigated for effective intracellular delivery. This study investigates how cationic poly(glucosamine)-based polymers, functionalized with guanidinium or ammonium groups, interact with key glycocalyx components including hyaluronan (HA) and heparan sulfate (HS). We demonstrate that these cationic polymers form tunable biomolecular condensates with glycans, with stronger binding observed for sulfated glycans, HS and heparin, than unsulfated HA. Derivatized chitosan polymers with varied cationic side chains exhibit …

Ex Vivo Microfluidic Model Identifies A Role For Shear Stress During Ovarian Tumor Cell Attachment To Peritoneal Mesothelial Cells, Vasilios A Morikis, Breanna Baker, Jillian A Martin, Angela Schab, Alessandra Dimauro, Gregory D Longmore, Whitney R Grither

2020-Current year OA Pubs

Ascites, or a pathologic accumulation of intra-abdominal fluid, is a key feature of intraperitoneally disseminating cancers, such as ovarian cancer. This pathological fluid buildup can influence the adhesive abilities of ovarian cancer cells, as they spread throughout the abdominal cavity to form metastatic implants on organs lined with a specialized monolayer of mesothelial cells. Robust methods for assessing the impact of fluid shear stress on this cell-cell interaction are lacking. Here, we develop and characterize a novel microfluidic device that allows for the determination of the attachment of ovarian tumor cells to mesothelial cells under the influence of fluid flow. …

Accuracy Improvements For Electroencephalography (Eeg) Eye State Classification Using Extreme Gradient Boosting And Cluster Ensembles, Hossein Ahmadi, Mehrbakhsh Nilashi, Abdullah Alghamdi, Rabab Ali Abumalloh, Mesfer Alrizq, Sultan Alyami, Waleed Abdu Zogaan, Fatima Khan Nayer

School of Nursing and Midwifery

Electroencephalography (EEG) eye state classification is crucial as it enables noninvasive monitoring and identification of different eye states. This importance has been underscored in studies exploring the use of machine learning techniques for accurate classification. Previous research has primarily applied supervised learning methods to EEG signal analysis for eye state classification using real-world datasets, focusing on improving accuracy through novel algorithms. Achieving high classification accuracy remains a key objective in EEG signal analysis. This study introduces a hybrid method designed to handle multivariate signals and nonlinearity. By integrating both supervised and unsupervised learning, the proposed approach aims to achieve high …

Ex Vivo Microfluidic Model Identifies A Role For Shear Stress During Ovarian Tumor Cell Attachment To Peritoneal Mesothelial Cells, Vasilios A Morikis, Breanna Baker, Jillian A Martin, Angela Schab, Alessandra Dimauro, Gregory D Longmore, Whitney R Grither

2020-Current year OA Pubs

Ascites, or a pathologic accumulation of intra-abdominal fluid, is a key feature of intraperitoneally disseminating cancers, such as ovarian cancer. This pathological fluid buildup can influence the adhesive abilities of ovarian cancer cells, as they spread throughout the abdominal cavity to form metastatic implants on organs lined with a specialized monolayer of mesothelial cells. Robust methods for assessing the impact of fluid shear stress on this cell-cell interaction are lacking. Here, we develop and characterize a novel microfluidic device that allows for the determination of the attachment of ovarian tumor cells to mesothelial cells under the influence of fluid flow. …

Computational Investigation Of Cavitation Inception In Centrifugal Pumps, Mohamed Ibrahim Eldesouky, Asmaa Khater, Abdel-Rahim Dohina, Mohamed Rabie

Mansoura Engineering Journal

This study examines the effects of suction chamber baffle configurations on both hydraulic efficiency and cavitation characteristics in a low specific speed centrifugal pump. Four baffle configurations (zero, one, two, and three baffles) were tested at three different heights using refined computational fluid dynamics simulations. The Zwart-Gerber-Belamri cavitation model was enhanced by adjusting nucleation site radius and evaporation coefficient values to better align with previous research findings. Results revealed that the optimal baffle height is approximately one-third of the impeller suction eye radius, significantly improving cavitation resistance. Under non-cavitation conditions, all baffled configurations outperformed the no-baffle setup, with a single …

Enhancing Foam Concrete Performance: The Role Of Magnetized Water On Workability, Strength, And Microstructure Properties, Amr Elkazzaz, Mohamed M. Yousry Elshikh, Walid E. Elemam

Mansoura Engineering Journal

Conventional foam concrete suffers from low strength and heterogeneous pore structure due to its porous structure and incomplete hydration, limiting its structural applications. This study investigates the use of magnetized water (MW) as a mixing medium to enhance hydration efficiency and improve both fresh and hardened properties of foam concrete. Three density grades 620, 1300, and 1900 kg/m³, designated as Groups A, B, and C were prepared and tested. Compressive strength measurements indicated that MW enhanced performance across all densities. In Group A, 28-day strength increased slightly from 2.4 MPa with tap water (TW) to 2.8 MPa with MW. For …

Life-Cycle-Oriented Selection Framework For Solar Shading Devices In Hot–Arid Building Façades: From Traditional Precedents To Pv-Integrated Systems, Sameh Ahmed Qadry

Mansoura Engineering Journal

Abstract

This study proposes a life-cycle–oriented, computationally light framework for selecting solar shading devices in hot–arid building façades. While previous research has extensively analysed shading performance using detailed simulations, most studies focus on single systems or materials, rarely comparing traditional, modern, and PVintegrated solutions within a unified life-cycle and operation–maintenance perspective. The research addresses this gap by integrating three shading families—traditional local precedents (e.g. mashrabiya, rawshan), modern fixed and dynamic systems, and hybrid PV-integrated façades—into a comparative decision-support framework tailored to hot–arid climates. Methodologically, the study combines: (1) a structured descriptive–analytical literature review with analytical coding of key attributes (design …

La Inteligencia Artificial Como Herramienta De La Investigación Artística Transdisciplinaria: Hacia Una Pedagogía Ovrónica, Pablo Alejandro Cabral, Rubén Cantos Leal, Pamela Soledad Jiménez Draguícevic

Artículos científicos

La incorporación de inteligencias artificiales generativas representa una transformación paradigmática en la metodología de investigación en las artes para la educación superior. Este ensayo examina críticamente cómo los modelos de lenguaje de gran tamaño (LLM) pueden integrarse en el proceso pedagógico investigativo como socios estratégicos, más que como simples herramientas de consulta. A partir de una experiencia didáctica implementada en la materia de Metodología de la Investigación con estudiantes de la Licenciatura en Actuación de la Facultad de Artes de la Universidad Autónoma de Querétaro, se propone una metodología estructurada en tres fases: exploración temática y contextual, análisis conceptual e …

Implementation Of Soil Improvement Techniques In The Dhaka Mass Rapid Transit Project A Comprehensive Case Study, Shoma Hore, Mosharof Al Alim, Maliha Farjana, Monir Hossain, Ripon Hore

Civil and Environmental Engineering Faculty Publications and Presentations

This paper evaluates Sand Compaction Pile (SCP) and Dynamic Compaction (DC) methods for enhancing soft soil in the Dhaka Mass Rapid Transit (MRT) project. Targeted interventions were required for the stratified soil profile, consisting of liquefiable sand (3–5 m thick) over soft clay (SPT ∼5): dynamic compaction for densifying the sand layer and soil-cement piles for stabilizing the underlying clay. Post-treatment Standard Penetration Test (SPT) values indicated that DC significantly improved the sand layer (SPT rose to 15–25) while SCP effectively strengthened the clay (SPT increased to 8–12). The Tongi-to-Uttara section (CP01) simultaneously addressed liquefaction concerns and settlement issues through …

The Significance Of Risk Mitigation Strategies On Project Success In The Construction Industry, Arielle Summer Weinzweig Aweinzweig

Harrisburg University Dissertations and Theses

The construction industry is persistently challenged by risks such as cost overruns, schedule delays, and quality failures, often arising from ineffective or reactive mitigation strategies. To bridge the gap between theoretical frameworks and real-world applications, this study investigates the impact of risk mitigation techniques on project success in the construction industry. The study employs a qualitative method approach, with qualitative interviews to examine management insights and adoption barriers. Founded on risk management theory, this study aims to analyze existing mitigation techniques, identify key risk factors, and develop an evidence-based framework to enhance risk assessment and strategy implementation. It is projected …

Discovery And Characterization Of A Novel Pseudomonas Phage Of A New Genus, Paul Nicholls, Justin R Clark, Anthony Maresso

Faculty, Staff and Students Publications

Background: Bacteriophages exhibit great diversity and are classically divided into lytic and temperate lifestyles. Commonly, bioinformatics is used to predict the temperate lifestyle. As the nosocomial pathogen Pseudomonas aeruginosa is common in freshwater, this biome represents an ideal location for the discovery of Pseudomonas phages.

Materials and methods: We characterized a genetically distinct species of Pseudomonas phage using next-generation sequencing and conventional microbiological methods. We characterized its lifestyle by purifying infected colonies and identifying persistent phage production.

Results: Genetics revealed a phage of a novel genus. Characterization showed a narrow host range and bioinformatics suggested a lytic lifestyle. Experimental data …

Empowering Research Topic Development With Generative Ai Prompts - A Pilot Study For First-Year Writing Students, Yanling Liu, Yan He

Georgia International Conference on Information Literacy

As generative AI tools like ChatGPT become increasingly embedded in academic and everyday contexts, educators have a timely opportunity to leverage these technologies to support foundational research skills. In general education writing courses, students participate in library sessions with librarians to support their research projects. A central challenge is formulating a focused and relevant research topic, as many struggle to identify and develop ideas and refine them into viable research topics that are suitable for college-level writing and align with assignment requirements. This study explores how generative AI tools - specifically ChatGPT - can be integrated into library instruction to …

A Bibliometric Analysis Of The Most Influential And Impactful Plastic Surgery Publications From Saudi Arabia, Hatan Mortada, Abdulaziz Alnufaei, Amal Tuaki Aljuaid, Zainab Ahmed Al Hubail, Waad Nawaf Alanazi, Abdulaziz Suleiman Jasaniah, Sarah Abdullah Ramzi, Amr Youssef Arkoubi

Saudi Medical Journal

Objective: To analyze the most cited plastic surgery articles from Saudi Arabia, focusing on publication trends, leading contributors, collaboration patterns, and thematic areas.

Methods: We conducted a bibliometric analysis using the Web of Science Core Collection (1990–2025). Keywords covering plastic surgery subfields were combined with geographic identifiers (“Saudi Arabia,” “KSA,” “Kingdom of Saudi Arabia”) using Boolean operators. Only English-language original and review articles were included. Citation metrics, authorship networks, and keyword co-occurrence were analyzed with VOSviewer and the bibliometrix R package.

Results: We identified 1,013 Saudi-affiliated plastic surgery publications, receiving 7,929 citations. The top 100 most-cited articles averaged 39.3 citations …

Bridging The Evidence Gap: A Retrospective Lens On Survival And Treatment Patterns In Older Patients With Colorectal Cancer, Emad M. Tashkandi

Saudi Medical Journal

Objectives: To advise evidence-based strategies and healthcare policies to optimize the management of older adults with colorectal cancer (CRC) in the region. Older adults are disproportionately affected by CRC but are underrepresented in clinical trials. Hence, real-world data are crucial in guiding treatment in this population.

Methods: We conducted a retrospective cohort study involving patients aged ≥65 years diagnosed with CRC between 2015 and 2021 at King Abdullah Medical City, Makkah, Saudi Arabia. Clinical data, treatment patterns, and survival outcomes were analyzed.

Results: Among 256 patients (mean age 74.7; 61.7% male), 75% had an Eastern Cooperative Oncology Group performance status …

Biomarkers Of Multiorgan Failure In Covid-19: A Predictive Framework For Disease Severity And Clinical Outcomes, Wesam A. Nasif, Mohammed H. Mukhtar, Mohammad Althubiti, Abeer Shaker El Moursy Ali

Saudi Medical Journal

Objective: To investigate the predictive value of inflammatory, liver, renal, and cardiac biomarkers in relation to the progression of multiorgan failure (MOF) in COVID-19 patients. A primary goal was to identify which of these markers served as the most discriminative predictors of disease severity.

Methods: A retrospective cohort study was carried out between December 2020 and February 2023 to collect data from 1,803 COVID-19 patients from data records in different hospitals in Makkah, Saudi Arabia. The ROC curve analysis evaluated the diagnostic and predictive performance of selected biomarkers.

Results: Inflammatory markers such as CRP and D-dimer were evaluated, but ferritin …

Role Of Artificial Intelligence In Infectious Diseases And Antimicrobial Resistance: A Comprehensive Review On Diagnostic, Treatment, And Prevention Aspects, Naveed Ahmed, Mansoor Alghamdi

Saudi Medical Journal

Artificial intelligence (AI) plays a significant role in managing infectious diseases by enhancing diagnosis, treatment, and preventive measures. AI-assisted tools have predictive analysis ability for incoming outbreaks, including the emergence of antimicrobial resistance (AMR). AI-assisted tools facilitate the treatment methods by tailoring personalized medicine according to the specific disease history of the patient, immune response, and genetics. Advanced vaccine development by various AI-assisted in silico tools is becoming easy, leading to faster vaccine discovery and more efficient vaccine design with a more immunogenic response. Despite huge benefits, a few limitations are also encountered, including biases in algorithms, data privacy, and …

Artificial Intelligence In Radiology: Hidden Fragilities And The Path To Resilience, Mustafa S. Alhasan

Saudi Medical Journal

Radiology artificial intelligence (AI) is advancing however its adoption faces fragile foundations that threaten sustainability. Despite bold promises of efficiency and accuracy, current deployment is undermined by weaknesses in economics, evidence, infrastructure, human factors, regulation, security, and environmental impact. Nearly 90% of radiology AI studies report process metrics rather than patient outcomes, while hidden costs elevate ownership to 400% to 500% of subscription fees. Technical fragilities include 25% or greater performance loss with routine protocol or scanner shifts, compounded by vendor consolidation that has eliminated 63% of companies since 2020, creating migration costs averaging 180,000 dollars per exit. Human factor …

Master Any Language 100x Faster, Yoshihiko Ariizumi

Learning, Teaching, & Researching Optimization

Learn any language 100x faster with this booklet of high-speed acquisition techniques!

Hyaluronan 35 Prevents Endotoxin-Mediated Dysregulated Skeletal Muscle Proteostasis During Ethanol Exposure, Nicole Welch, Pugazhendhi Kannan, Gangarao Davuluri, Annette Bellar, Amy H. Attaway, Saurabh Mishra, Jasmin A. Cunningham, Avinash Kumar, Ryan Musich, Elif G. Ertugral, Vandana Agrawal, Isaac L. Hu, Terri J. Hartford, Noah L. Weisleder, Vidula T. Vachharajani, Chandrasekhar R. Kothapalli

Chemical & Biomedical Engineering Faculty Publications

Sarcopenia in alcohol-related liver disease (ALD) is of high clinical significance, but there are no effective treatments. Hyaluronan 35 kDa (HA35), a glycosaminoglycan polymer, modulates responses to Toll-like receptor 4 (TLR4), a lipopolysaccharide receptor, to improve hepatic and macrophage function in ALD. We evaluated skeletal muscle responses to HA35 in preclinical models of ALD. Responses to ethanol, lipopolysaccharide (LPS), and HA35 were studied in differentiated murine C2C12/human-induced pluripotent stem cell (hiPSC)-derived myotubes, and wild-type/HA receptor CD44 knockout (CD44(-/-)) mouse models of ALD (mALD). Signaling molecules and measures of protein homeostasis (proteostasis) were quantified by immunoblots, mitochondrial oxidative function was determined …

Project Risk Management In Ai-Enabled Systems: Managing Ethical, Privacy, And Governance Risks, Onome Cynthia Anakanire

Harrisburg University Dissertations and Theses

This research examined how Artificial intelligence (AI) has been embedded in project-based work, particularly in finance and software industries, where it enables efficiency and assists in complex decision-making. However, these innovations introduce significant ethical, privacy, and governance risks that traditional project risk management frameworks fail to adequately address. This study investigated how project managers can systematically integrate the management of these emerging risks into AI-enabled projects. Using a qualitative research design, the study drew on semi-structured interviews with project managers, compliance officers, and AI developers in finance, software and related sectors. Supplementary data included internal project documentation and risk registers. …

Schwannomatosis Tumor Modeling: Progress And Prospects For Translational Research, Mackenzie S Madison, Huazhen Xu, Yarelis Gonzalez-Vargas, Marybeth G Yonk, Charee M Thompson, Hurley Haney, Danielle Babbitt, Yuhong Du, Angela C Hirbe, Nicholas M Boulis, Ren-Yuan Bai, Kecheng Lei

2020-Current year OA Pubs

BACKGROUND: Schwannomatosis (SWN) is a rare genetic condition characterized by the development of benign schwannomas along peripheral and spinal nerves, and this tumor development often results in chronic peripheral pain and significant neurological deficits. Despite surgical resection being the current standard of care for SWN-related pain, scientists are searching for accurate preclinical models that can be used for drug efficacy testing, but existing models often fail to fully recapitulate the complex genotypic diversity and tumor-nerve interface pathology seen in patients. MAIN TEXT: This review first summarizes the genotypic and phenotypic characteristics of SWN subtypes resulting from key mutations in NF2, …

Therapeutic Reprogramming Of Tumour-Associated Macrophages In Pancreatic Cancer Using A Cytotoxic Ccr2-Targeted Nanotheranostic, Vikas Kumar Somani, Xiaohui Zhang, Timothy Hung-Po Chen, Ashenafi Bulle, Sapana Bansod, Lin Li, Yutong Geng, Liang-I Kang, Gyu Seong Heo, Hannah Luehmann, Yuena Zhang, Muhammad A Saeed, Kory J Lavine, David G Denardo, Russell K Pachynski, Yongjian Liu, Kian-Huat Lim

2020-Current year OA Pubs

BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) exhibits a profoundly immunosuppressive tumour microenvironment (TME) dominated by inflammatory monocytes (IMs) and tumour-associated macrophages (TAMs), which restrict adaptive immunity and drive resistance to immune checkpoint blockade (ICB). Recruitment of CCR2⁺ IMs by tumour-derived CCL2 is a central mechanism underlying TAM accumulation. Conventional gemcitabine (GEM) and small-molecule CCR2 inhibitors provide limited benefit due to poor intratumoural delivery, transient target engagement, and compensatory myeloid recruitment. METHODS: We engineered a CCR2-targeted nanotheranostic by conjugating a CCR2-binding peptide (ECL1i) and GEM onto ultrasmall copper nanoclusters (CuNCs-ECL1i-GEM; C-E-G). Therapeutic efficacy and immune remodelling were evaluated using orthotopic subcutaneous and …

The Impact Of Climate On Solar Panel Performance In Al-Madinah Al-Munawwarah, Mounira Matthas Al-Qahtani

UB Journal for Humanities

This study aims to identify the most important climatic elements that must be considered when designing solar panels in Al-Madinah Al-Munawwarah for the period 1995–2024, as well as the impact of monthly and annual climatic variations on the efficiency of solar panel performance. The study relies on the following climatic elements: annual radiation, temperature, relative humidity, wind, rainfall, and dust, in order to understand the relationship between climatic elements and the performance of solar panels. The study employed an analytical and applied methodology. The results indicate that Al-Madinah Al-Munawwarah enjoys high levels of solar radiation, with an overall average of …

Tailoring Cathode Structure And Materials To Enable Fast Charging And Extended Lifespan In Li-S Batteries, Yuxuan Zhang, Yeongjun Oh, Sunghwan Lee

Purdue Polytechnic Graduate Student Poster Symposium

The practical implementation of Li–S batteries is limited by sluggish sulfur redox kinetics and inefficient ion transport in high-mass-loading cathodes, challenges that are further exacerbated under fast-charging and high-power operation. Conventional electrocatalyst-based strategies can partially suppress electrochemical polarization by lowering reaction energy barriers, yet they do not address concentration and ohmic polarizations, which dominate in thick electrodes. Here, we introduce a coupled material–architecture design that integrates electrocatalysts into a low-tortuosity, correlated dual-gradient electrode fabricated using programmable high-resolution stereolithography and pyrolysis-induced carbonization. By deliberately pairing a microscale pore-size gradient with a corresponding active-material gradient, the electrode synchronizes redox progression across its …