Results 191 to 200 of about 399,591 (298)
The classification servicemen of internal troops of the Ministry of Internal Affairs of Ukraine
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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
Two new mites of <i>Armascirus</i> Den Heyer, 1978 (Trombidiformes, Cunaxidae) from Chinese fauna. [PDF]
Chen JX +5 more
europepmc +1 more source
Ukrainians in the Special Camps GUTAB Ministry of Internal Affairs of the USSR [PDF]
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Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian +37 more
wiley +1 more source
Middle Cerebral Artery Ischemic Stroke Occurring in a Woman With Metastatic Breast Cancer: A Case Report. [PDF]
Jamjoom M +6 more
europepmc +1 more source
Conceptual issues of internal safety assurance of the Ministry of Internal Affairs of Ukraine
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Soft robotic arms are promising for gentle grasping but often rely on bulky actuation systems. This work presents a computational design framework that optimizes tendon number and routing to achieve target grasps with fewer actuators. Validated on an octopus‐inspired underwater arm, the approach enables efficient, underactuated soft manipulators for ...
Michele Martini +6 more
wiley +1 more source
Acute Pancreatitis and Diabetic Ketoacidosis: Special Considerations in Diagnosis and Management. [PDF]
Babiker A +6 more
europepmc +1 more source
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy +2 more
wiley +1 more source

