Results 131 to 140 of about 100,554 (340)
Myristoylated Neuronal Calcium Sensor-1 captures the preciliary vesicle at distal appendages
The primary cilium is a microtubule-based organelle that cycles through assembly and disassembly. In many cell types, formation of the cilium is initiated by recruitment of preciliary vesicles to the distal appendage of the mother centriole. However, the
Tomoharu Kanie+6 more
doaj +1 more source
Hydrostatic bearings excel in high‐precision applications, but their performance hinges on a continuous external supply. This study evaluates various material combinations for sliding surfaces to mitigate damage during supply failures or misalignment and to discover the most effective materials identified for enhancing the reliability and efficiency of
Michal Michalec+6 more
wiley +1 more source
Societal Impact Statement Understanding plant reproductive strategies is vital for conserving endangered species. This study reveals a novel self‐pollination mechanism in the diminutive orchid Stigmatodactylus sikokianus, facilitated by the movement of a
Kenji Suetsugu
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Hybrid materials enable high‐performance components but are challenging to process. This study explores an inductive heating concept with spray cooling for steel–aluminum specimens in a two‐step process including friction welding and cup backward extrusion.
Armin Piwek+7 more
wiley +1 more source
IX. The Characters of seven Genera of Bats with foliaceous Appendages to the Nose. [PDF]
William Elford Leach
openalex +1 more source
REMOVAL OF THE UTERINE APPENDAGES. A REPORT OP THE MOKE REMOTE RESULTS [PDF]
J Halliday Croom
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Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley +1 more source
An Address on the Treatment of Bleeding and Other Uterine Fibroids by Removal of the Appendages [PDF]
Amanda C. Doran
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Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani+4 more
wiley +1 more source