Results 81 to 90 of about 74,157 (331)

Measure for Measure: A Critical Consumers' Guide to Reading Comprehension Assessments for Adolescents [PDF]

open access: yes, 2009
A companion report to Carnegie's Time to Act, analyzes and rates commonly used reading comprehension tests for various elements and purposes.
Catherine Snow   +2 more
core  

Optimizing genetics online resources for diverse readers. [PDF]

open access: yes, 2020
PurposeClear and accurate genetic information should be available to health-care consumers at an individualized level of comprehension. The objective of this study is to evaluate the complexity of common online resources and to simplify text content ...
Chang, Jiyoo   +2 more
core  

Early Detection and Inhibition of Post‐Surgical Cancer Recurrence by Synthetic Extracellular Vesicles

open access: yesAdvanced Science, EarlyView.
An implantable hydrogel is designed to hold gene transfection agents engineered to turn early recurrent tumor cells into generators of synthetic EVs. These synthetic EVs can express engineered miR‐26a (E‐miR‐26a) for highly sensitive detection and PD‐1 (a PD‐L1‐blocking agent) for therapeutic intervention, thereby enabling early detection and ...
Junli Zhang   +7 more
wiley   +1 more source

Are Drivers\u27 Manuals Understandable? [PDF]

open access: yes, 1995
In 1984, researchers determined that the readability of state drivers\u27 manuals exceeded the average literacy levels in the United States. Because text complexity threatened the ability of license applicants and practicing drivers to understand the ...
Eilers, Ulinda   +2 more
core   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

open access: yesAdvanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu   +8 more
wiley   +1 more source

Decoupling Intrinsic Molecular Efficacy From Platform Effects: An Interpretable Machine Learning Framework for Unbiased Perovskite Passivator Discovery

open access: yesAdvanced Science, EarlyView.
This study establishes an interpretable machine learning framework that disentangles the intrinsic molecular efficacy of passivators from experimental platform effects—enabling unbiased, high‐throughput discovery of effective perovskite surface modifiers.
Jing Zhang   +5 more
wiley   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

open access: yesAdvanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen   +4 more
wiley   +1 more source

3515 Readability of online patient education materials on gynecologic malignancies from major medical associations

open access: yesJournal of Clinical and Translational Science, 2019
OBJECTIVES/SPECIFIC AIMS: Patients are increasingly using online materials to learn about gynecologic cancer. Recent studies demonstrate that 85-96% of patients with a gynecologic malignancy utilize the Internet as a health resource.
David Samuel   +3 more
doaj   +1 more source

ChatCFD: A Large Language Model‐Driven Agent for End‐to‐End Computational Fluid Dynamics Automation with Structured Knowledge and Reasoning

open access: yesAdvanced Intelligent Discovery, EarlyView.
Chat computational fluid dynamics (CFD) introduces an large language model (LLM)‐driven agent that automates OpenFOAM simulations end‐to‐end, attaining 82.1% execution success and 68.12% physical fidelity across 315 benchmarks—far surpassing prior systems.
E Fan   +8 more
wiley   +1 more source

Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents

open access: yesAdvanced Intelligent Discovery, EarlyView.
This work proposes a novel framework that automates biomedical discovery by integrating knowledge graphs with multiagent large language models. A biologically aligned graph exploration strategy identifies hidden pathways between biomedical entities, and specialized agents use this pathway to iteratively design AI predictors and wet‐lab validation ...
Naafey Aamer   +3 more
wiley   +1 more source

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