Results 61 to 70 of about 6,528,891 (210)
This Perspective charts the modeling landscape for soft manipulators, spanning sparse system identification, neural dynamics, physics‐informed models and hybrid intelligence. We examine how physics, data, sensing, adaptation and control can assume complementary roles within this landscape, and provide a framework for selecting modeling approaches ...
Wenbo Hui +4 more
wiley +1 more source
Advancing Energy Materials by In Situ Atomic Scale Methods
Progress in in situ atomic scale methods leads to an improved understanding of new and advanced energy materials, where a local understanding of complex, inhomogeneous systems or interfaces down to the atomic scale and quantum level is required. Topics from photovoltaics, dissipation losses, phase transitions, and chemical energy conversion are ...
Christian Jooss +21 more
wiley +1 more source
Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser +6 more
wiley +1 more source
Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics
Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong +5 more
wiley +1 more source
This review traces three decades of technological evolution in robot‐assisted fracture reduction systems, from early robotic concepts to clinically oriented platforms. Key advances in robotic architecture, navigation, path planning, interaction control, and surgical integration are summarized, while current translational challenges and future ...
Shaolong Kuang +5 more
wiley +1 more source
Convexity and hyperconvexity in fuzzy metric space
© 2019 EUDOXUS PRESS, LLC.In this paper, firstly we give the definion of fuzzy convex metric, in a different way. Then we introduce the concept of hyperconvexity in fuzzy metric space and prove that every fuzzy hyperconvex metric space is complete.
EFE, HAKAN, YİĞİT DAKMAZ, EBRU
core +1 more source
Characterizations of compactness of fuzzy set space with endograph metric
In this paper, we present the characterizations of total boundedness, relative compactness and compactness in fuzzy set spaces equipped with the endograph metric.
Huang, Huan
core
ABSTRACT In Australia, governments fund Community Legal Centres (CLCs) as part of the legal assistance sector (LAS) to meet the ‘legal needs’ of people experiencing disadvantage who cannot afford private legal services. Persistent unmet demand for CLCs is well‐documented. As artificial intelligence (AI) is increasingly used in private legal practice to
Catherine Hastings +2 more
wiley +1 more source
ABSTRACT As modes of activism rapidly evolve, activists—both seasoned and emerging—must increasingly navigate a hybrid terrain of both digital and non‐digital engagement. This paper draws on the personal narratives of 16 nascent activists based in Australia to explore how they develop competencies related to digital storytelling, which is critical to ...
Garth Stahl +5 more
wiley +1 more source
A multi‐task deep learning–based approach to identify and assess dry root rot disease in chickpea
Abstract Premise Dry root rot (DRR), an emerging global disease exacerbated by drought, affects a wide range of crops. The disease symptoms are manually scored for large‐scale germplasm screening to identify disease‐resistant varieties and test transgenic lines and other varieties.
Piyush Priya +7 more
wiley +1 more source

