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This repository presents research focusing on the interplay of changing light conditions and movement patterns in urban settings. It contains a wealth of insights into how daylight variability influences urban life and how movement within these spaces unfolds, combining advanced image processing and deep learning techniques.
LipidLynxX provides the possibility to convert, cross-match, and link various lipid annotations to the tools supporting lipid ontology, pathway, and network analysis aiming systems-wide integration and functional annotation of lipidome dynamics in health and disease.
LAMMPS-DATA models for the project A.A. Tsukanov, B. Turk, O. Vasiljeva and S.G. Psakhie. Computational Indicator Approach for Assessment of Nanotoxicity of Two-Dimensional Nanomaterials. Nanomaterials 2022, 12, 650. https://doi.org/10.3390/nano12040650