Results 161 to 170 of about 501,232 (307)
The physiographic subdivisions of the Hudson Bay Lowlands South of 60 degrees North
D B Coombs
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This article presents a detailed ultrastructural cell atlas of Plasmodium ookinete development using advanced volume electron microscopy (v) techniques. It defines seven distinct developmental stages, revealing complex organelle interactions and offering new insights into parasite differentiation.
Nedal Darif +12 more
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Physiographic Subdivisions of the Canadian Cordillera, North of Fifty-Fifth Parallel
H S Bostock
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The subdivision of the hexagonal net and the systematic generation of crystal structures [PDF]
Arthur L. Loeb
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A switchable bidirectional acoustic metastructure is proposed, enabling broadband and frequency‐selective absorption via interleaved resonator coupling and exceptional point modulation. It outperforms traditional unidirectional designs, offering compact, efficient sound control from both directions and establishing a generalized framework for extending
Zichao Guo +7 more
wiley +1 more source
Catalogue Des Plantes Récoltées Dans La Subdivision De Sidi-Bel-Abbès, Pendant Les Années 1863 Et 1864 Troisième Partie [PDF]
M. Edmond Lefranc
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SpaBatch is an end‐to‐end multi‐slice spatial transcriptomics data integration framework. It simultaneously performs embedding learning, spatial feature denoising and reconstruction, batch effect correction, and spatial domain optimization, effectively correcting batch effects and achieving accurate 3D spatial domain identification.
Jinyun Niu +5 more
wiley +1 more source
Single‐cell transcriptomics and clinical data show that during myasthenia gravis (MG) exacerbation, bone marrow mature neutrophils expand and enter blood, with parallel increase of B‐cell activating factor (BAFF)–positive neutrophils. Experimental autoimmune myasthenia gravis (EAMG) confirms a pathogenic interferon‐γ (IFN‐γ)–neutrophil–BAFF axis ...
Zhaoxu Zhang +5 more
wiley +1 more source
Ultrafast Dynamic Defect Inspection With Computational Neuromorphic Imaging
Computational neuromorphic imaging (CNI) is leveraged for ultrafast dynamic defect inspection, offering unparalleled capabilities for fast‐moving samples, complex illumination conditions, and real‐time edge detection. The CNI paradigm will enhance our set of inspection tools in challenging environments, paving the way for intelligent, precise, and low ...
Shuo Zhu +4 more
wiley +1 more source

