Results 101 to 110 of about 4,583,116 (293)
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
Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley +1 more source
Newsletter of the Texas Chapter of the American Fisheries Society
Newsletter of the Texas Chapter of the American Fisheries Society containing information about the organization, membership, and field of aquaculture and ecosystem ...
American Fisheries Society. Texas Chapter.
core +1 more source
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
Adaptive Macroscopic Ensemble Allocation for Robot Teams Monitoring Spatiotemporal Processes
We propose an online, environment feedback‐driven macroscopic ensemble approach to adapt robot team task allocation in spatiotemporal environments by controlling robot populations rather than assigning individual robots, all while maintaining robust team performance even for small teams. Our simulation and experimental results show better or comparable
Victoria Edwards +2 more
wiley +1 more source
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
wiley +1 more source
This paper presents a high‐speed object pose estimation method that deconstructs objects into geometric components. Inspired by human cognitive generalization, it detects these primitives and infers the 6D pose from their stable spatial configuration.
Xuyang Li +6 more
wiley +1 more source
From Spoiled Identity to Cleft Identity: Parenting, Penal Stigma and Suspended Citizenship
This paper examines the social and political consequences of parenting with a conviction for a sexual offence in contemporary Britain. We argue that the systems governing people labelled “sex offenders” operate in ways that exceed what Michel Foucault ...
Joe Smith, Eppie Sprung
doaj +1 more source
Flyer of ANTA workshops and events, 1978
A flyer containing information on a group of events held by the Western Massachusetts Chapter of ANTA in the Moses Hall in Springfield College's Beveridge Center from March 16 through March 21, 1978.
ANTA (Organization) -- Western Massachusetts Chapter;
core
Newsletter of the Texas Chapter of the American Fisheries Society [PDF]
Newsletter of the Texas Chapter of the American Fisheries Society containing information about the organization, membership, and field of aquaculture and ecosystem ...
American Fisheries Society. Texas Chapter.
core

