Results 21 to 30 of about 2,779 (218)
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
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
Design‐for‐Benchmarking in Soft Robotics: Navigating Component‐System Dichotomy
Soft robotics faces a profound evaluation challenge: the Component‐System Dichotomy, where isolated component tests fail to predict integrated performance. This article presents a systematic survey of critical reporting gaps across actuation, sensing, and control.
Matteo Lo Preti +4 more
wiley +1 more source
Abstract Large‐scale land reforms constitute a substantial redistribution of wealth and reallocation of agricultural land, which is a major form of asset and production input in developing countries. While land redistribution (from the rich to the poor) remains a highly controversial issue, extensive evidence on its effect is limited.
Devashish Mitra +3 more
wiley +1 more source
Lung maneuvers of large amplitudes for probing physiological alterations in mouse models of asthma
Lung maneuvers of small amplitudes, such as the ones performed in oscillometry, are the current gold standard to probe lung mechanics in animals, but they are insensitive to detect baseline physiological alterations in mouse models of asthma. Herein, lung maneuvers of different amplitudes were compared in two mouse models of asthma.
Magali Boucher +4 more
wiley +1 more source
PbAT: A user‐friendly R/Shiny platform for data‐driven decision support in crop improvement
Abstract Premise Modern plant breeding requires robust analysis of complex, multi‐environment datasets to identify superior genotypes. Although R offers powerful statistical packages, their use often requires programming expertise. Existing graphical user interface (GUI)‐based tools are either limited in scope or not openly accessible, leaving breeders
Krishnan P. Abhijith +6 more
wiley +1 more source
‘Let's talk about the weather’: The activist curriculum and global climate change education
Abstract Activist movements have garnered significant global attention on a range of sustainability issues, often involving collectives of citizens coming together. Invoked is the idea of citizens informed to act, emerging not from a common‐sense understanding of everyday life, but rather from a deep political understanding of the world—one that is ...
Richard Pountney
wiley +1 more source
Between public service and market: Portraying the bifront university in a platformized world
Abstract This paper contributes to the international debate on the changes affecting recruitment and orientation processes toward higher education. Based on qualitative research involving 19 Italian public universities, the study analyses the transformations in communication, recruitment and orientation activities within platformization and increasing ...
Marco Pitzalis +2 more
wiley +1 more source
Abstract Grounded in principles of epistemic justice, this article examines the educational impacts of Zambia's COVID‐19 school closures on Indigenous girls in two districts and highlights community‐led pathways for resilience. National responses prioritised broadcast and digital delivery but presupposed access to electricity, digital devices and ...
Marcellus Forh Mbah +5 more
wiley +1 more source
Abstract Character education research is often constrained by blunt methodological tools. Surveys capture breadth without depth; case studies offer richness but lack replicability; and randomised controlled trials (RCTs), though indispensable at the policy level, are costly, disruptive and ill‐suited to everyday practice with individual pupils.
Shane McLoughlin
wiley +1 more source

