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Identity Management Use Cases version 1.5
These use cases describe how researchers, scientists, educators, students, and other community members register themselves with the public research computing environment (thereby creating a community identity) and use their community identities to access
Liming, R. Lee +2 more
core
Runtime 28:37In this episode of the Nutrient Management Podcast, three U of M researchers talk about liming. Which crops benefit the most from lime application? What should growers look for in a liming material?
Kaiser, Dan +3 more
core
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin +4 more
wiley +1 more source
XSEDE Community Infrastructure Use Cases, version 1.1
This document outlines the typical needs of the “Community Infrastructure” area. The XSEDE system is explicitly intended to be open and extensible. Unlike a stand-alone product, XSEDE provides a framework for delivering research services and applications.
Navarro, John-Paul, Liming, R. Lee
core
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
XSEDE Community Infrastructure Use Cases, version 2.0
This document outlines the typical needs of the “Community Infrastructure” area. The XSEDE system is explicitly intended to be open and extensible. Unlike a stand-alone product, XSEDE provides a framework for delivering research services and applications.
Navarro, John-Paul, Liming, R. Lee
core
AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley +1 more source
XSEDE Service Provider Integration Use Cases, version 1.0
This document outlines the XSEDE system features that allow Service Providers (SPs) to integrate their resources with the rest of the XSEDE system. XSEDE defines SPs as “autonomous entities that agree to coordinate with XSEDE and each other to varying ...
Navarro, John-Paul, Liming, R. Lee
core
Explainable artificial intelligence (XAI) guides selective electrode activation in retinal prostheses by emphasizing visually informative regions. XAI‐assisted phosphene generation maintains object recognition performance while significantly reducing stimulation power.
Sein Kim, Hamin Shim, Maesoon Im
wiley +1 more source
Soil Chemical Properties and Maize (Zea mays L.) Yield influenced by Lime and Fern (Pteris vittata)
This study aimed to investigate the influence of liming and fern on reducing the absorption of arsenic (As) by maize and As content in the soil. The single-factor experiment was designed in a completely random block (4 treatments and 4 replicates ...
Nguyen Van CHUONG, Trang Kien BUSH
doaj

