All articles

27Aug 2026

Advances in Adaptive Intelligence

Critical Roles of Chalcogenide Anion on Strengthening Stability of Ni 2 Mo 6 Te 8 for Almost Exclusive Electrocatalysts Nitrate to Ammonia Conversion: Multimodal Alignment and Information Fusion

Trevor Sutton, Ethan Norton, Lawrence Collins

aai20260033

27Aug 2026

Convergence in Science and Society

Cooperative Atomically Dispersed Fe–N4 and Sn–Nx Moieties for Durable and More Active Oxygen Electroreduction in Fuel Cells: Adaptation and Calibration Across Domains

Zach Olsen, Bryan Perkins, Blake Turner

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27Aug 2026

Convergence in Science and Society

Critical Roles of Chalcogenide Anion on Strengthening Stability of Ni 2 Mo 6 Te 8 for Almost Exclusive Electrocatalysts Nitrate to Ammonia Conversion: Causal Claims and Confounding

Brian Mercer, Christopher Peterson, Adrian Snyder

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27Aug 2026

Convergence in Science and Society

Cooperative Atomically Dispersed Fe–N4 and Sn–Nx Moieties for Durable and More Active Oxygen Electroreduction in Fuel Cells: From Benchmark Results to External Validity

Ian McKenzie, Brett Newman, Benjamin Nichols

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27Aug 2026

Convergence in Science and Society

Critical Roles of Chalcogenide Anion on Strengthening Stability of Ni 2 Mo 6 Te 8 for Almost Exclusive Electrocatalysts Nitrate to Ammonia Conversion: Human Oversight and Decision Accountability

Frank Olsen, Andrew Conrad, Wesley Riley

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27Aug 2026

Convergence in Science and Society

Cooperative Atomically Dispersed Fe–N4 and Sn–Nx Moieties for Durable and More Active Oxygen Electroreduction in Fuel Cells: Evaluation Design and Construct Validity

Mark Baldwin, Quentin Fuller, Wyatt Watson

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27Aug 2026

Precision Health and Clinical Innovation

Personalized prediction of lymph node metastasis in papillary thyroid microcarcinoma - a nomogram and web calculator: Open Science and Comparative Benchmarking

Landon Whitaker, Logan Carpenter, Jake Fuller

phci20260016

27Aug 2026

Precision Health and Clinical Innovation

Personalized prediction of lymph node metastasis in papillary thyroid microcarcinoma - a nomogram and web calculator: Attributing Performance to Model Components

Cody Turner, Kyle Pierce, Wade Stevenson

phci20260015

27Aug 2026

Precision Health and Clinical Innovation

Multifunctional hydrogel sensors with dynamic covalent networks for machine learning-assisted Parkinson's disease diagnosis and encrypted human-computer interaction: Interface Design and Evidence Communication

Parker Russell, Elliot Chandler, Alan Owens

phci20260014

27Aug 2026

Precision Health and Clinical Innovation

Personalized prediction of lymph node metastasis in papillary thyroid microcarcinoma - a nomogram and web calculator: Privacy, Governance, and Responsible Adoption

Derek Webb, David Duncan, Dominic Richardson

phci20260013

27Aug 2026

Precision Health and Clinical Innovation

Multifunctional hydrogel sensors with dynamic covalent networks for machine learning-assisted Parkinson's disease diagnosis and encrypted human-computer interaction: Resource Efficiency and Performance Trade-offs

Cole Schmidt, Vincent Collins, Jordan Gibson

phci20260012

27Aug 2026

Precision Health and Clinical Innovation

Personalized prediction of lymph node metastasis in papillary thyroid microcarcinoma - a nomogram and web calculator: Failure Modes and Error Containment

Derek Hale, Warren Murray, Joel Larson

phci20260011

27Aug 2026

Precision Health and Clinical Innovation

Multifunctional hydrogel sensors with dynamic covalent networks for machine learning-assisted Parkinson's disease diagnosis and encrypted human-computer interaction: Provenance, Traceability, and Auditability

Charles Fisher, Alexander Chandler, Gary West

phci20260010

27Aug 2026

Advances in Adaptive Intelligence

Robustness of Fine-Tuned Llms Under Noisy Retrieval Inputs: Monitoring Performance and Model Drift

Hunter Newton, Cody Hammond, Bryce Hamilton

aai20260032

27Aug 2026

Advances in Adaptive Intelligence

Robustness of Fine-Tuned Llms Under Noisy Retrieval Inputs: Reproducibility and Reporting Standards

Jordan Schaefer, Dennis Walsh, Mitchell Prescott

aai20260031

27Aug 2026

Advances in Adaptive Intelligence

Robustness of Fine-Tuned Llms Under Noisy Retrieval Inputs: Uncertainty and Sensitivity Analysis

Quentin Griffin, Eugene Woods, Wyatt Meyer

aai20260030

27Aug 2026

Advances in Adaptive Intelligence

Robustness of Fine-Tuned Llms Under Noisy Retrieval Inputs: Deployment and Systems Integration

Luke Hughes, Harrison Whitaker, Walter Warren

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27Aug 2026

Advances in Adaptive Intelligence

Robustness of Fine-Tuned Llms Under Noisy Retrieval Inputs: Robustness Under Distribution Shift

Craig Johnston, Richard Manning, Felix Snyder

aai20260028

27Aug 2026

Advances in Adaptive Intelligence

Robustness of Fine-Tuned Llms Under Noisy Retrieval Inputs: Attributing Performance to Model Components

Travis Tucker, Ethan Jenkins, Austin Sullivan

aai20260027

27Aug 2026

Advances in Adaptive Intelligence

Robustness of Fine-Tuned Llms Under Noisy Retrieval Inputs: Interface Design and Evidence Communication

Grant Wallace, Frederick Bowen, Stephen Brennan

aai20260026

27Aug 2026

Economics, Management and Sustainable Growth

Robustness of Fine-Tuned Llms Under Noisy Retrieval Inputs: Privacy, Governance, and Responsible Adoption

Kevin Crawford, Oscar Pierce, Peter Freeman

emsg20260076

27Aug 2026

Advances in Adaptive Intelligence

Robustness of Fine-Tuned Llms Under Noisy Retrieval Inputs: Resource Efficiency and Performance Trade-offs

Dawson Davidson, Andrew Chandler, Owen Gibson

aai20260025

27Aug 2026

Advances in Adaptive Intelligence

Robustness of Fine-Tuned Llms Under Noisy Retrieval Inputs: Failure Modes and Error Containment

Bryan Weber, Grayson Beckett, Kieran Vance

aai20260024

27Aug 2026

Advances in Adaptive Intelligence

Robustness of Fine-Tuned Llms Under Noisy Retrieval Inputs: Provenance, Traceability, and Auditability

Jordan Matthews, Joel Vaughn, Cameron Edwards

aai20260023

27Aug 2026

Advances in Adaptive Intelligence

Robustness of Fine-Tuned Llms Under Noisy Retrieval Inputs: Open Science and Comparative Benchmarking

Trent Carter, George Palmer, Graham Grant

aai20260022

27Aug 2026

Advances in Adaptive Intelligence

Robustness of Fine-Tuned Llms Under Noisy Retrieval Inputs: Multimodal Alignment and Information Fusion

Carson Turner, Patrick Edwards, Sean Sullivan

aai20260021

27Aug 2026

Advances in Adaptive Intelligence

Robustness of Fine-Tuned Llms Under Noisy Retrieval Inputs: Adaptation and Calibration Across Domains

Graham Douglas, Kenneth Woods, Jordan Franklin

aai20260020

27Aug 2026

Advances in Adaptive Intelligence

Robustness of Fine-Tuned Llms Under Noisy Retrieval Inputs: Causal Claims and Confounding

Hayden Schmidt, Richard Schaefer, Stuart Pearson

aai20260019

27Aug 2026

Advances in Adaptive Intelligence

Robustness of Fine-Tuned Llms Under Noisy Retrieval Inputs: From Benchmark Results to External Validity

Jeffrey Grant, Vincent Warren, Dennis Stone

aai20260018

27Aug 2026

Advances in Adaptive Intelligence

Robustness of Fine-Tuned Llms Under Noisy Retrieval Inputs: Human Oversight and Decision Accountability

Bryan Richardson, Reed Spencer, Matthew Fleming

aai20260017

27Aug 2026

Advances in Adaptive Intelligence

Robustness of Fine-Tuned Llms Under Noisy Retrieval Inputs: Evaluation Design and Construct Validity

Nathan Klein, Sawyer Snyder, George Spencer

aai20260016

27Aug 2026

Advances in Adaptive Intelligence

Robustness of Fine-Tuned Llms Under Noisy Retrieval Inputs: Scalability and Operational Maintainability

Samuel Edwards, Gary Conrad, Emmett Hudson

aai20260015

27Aug 2026

Advances in Adaptive Intelligence

Robustness of Fine-Tuned Llms Under Noisy Retrieval Inputs: Risk Stratification and Threshold Selection

Parker Horton, Walter Weber, Ian Norton

aai20260014

27Aug 2026

Advances in Adaptive Intelligence

Robustness of Fine-Tuned Llms Under Noisy Retrieval Inputs: Monitoring Performance and Model Drift

Connor Cross, Lawrence Harris, Troy Vaughn

aai20260013

27Aug 2026

Advances in Adaptive Intelligence

Robustness of Fine-Tuned Llms Under Noisy Retrieval Inputs: Reproducibility and Reporting Standards

Felix Bennett, Raymond Newman, Benjamin Crawford

aai20260012

27Aug 2026

Advances in Adaptive Intelligence

Robustness of Fine-Tuned Llms Under Noisy Retrieval Inputs: Uncertainty and Sensitivity Analysis

Graham Marshall, Grayson Bowen, Grayson Sanders

aai20260011

27Aug 2026

Advances in Adaptive Intelligence

Robustness of Fine-Tuned Llms Under Noisy Retrieval Inputs: Deployment and Systems Integration

Luke Wells, Heath Spencer, Holden Olsen

aai20260010

27Aug 2026

Advances in Adaptive Intelligence

Robustness of Fine-Tuned Llms Under Noisy Retrieval Inputs: Robustness Under Distribution Shift

Seth Horton, Benjamin Wagner, Wayne Burke

aai20260009

27Aug 2026

Convergence in Science and Society

A modified connectivity link addition strategy to improve the resilience of multiplex networks against attacks: Resource Efficiency and Performance Trade-offs

Nathan Carpenter, Bryce Simmons, Wyatt Gibson

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27Aug 2026

Convergence in Science and Society

Restoration of smart grids - Current status, challenges, and opportunities: Failure Modes and Error Containment

Drew West, Nolan Sanders, Jeremy Donovan

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