10 papers · ranked by Valyu relevance
Mohamed Selmy, A. Abdulnabi, A. A. Ali, E. M. Saied + 1 more
Nanogrids have emerged as a crucial solution for contemporary residential power systems, providing a robust framework for integrating distributed energy resources (DERs), comprising solar photovoltaics (PVs), wind turbines (WTs), energy storage systems (ESSs), and diesel generators (DGs). However, the uncertainty of…
Odin Zhang, Jiaqi Wang, Tuscan Rock Thompson, Ziyi You + 3 more
Biomolecular interactions, including protein–protein interactions, protein–nucleic acid recognition, and protein–small molecule binding, underlie a wide range of biological processes and therapeutic mechanisms. Although recent de novo design methods can generate candidate binders for diverse molecular targets…
Peter F. Pelz, Tobias Meck
For nearly a century, the physical origin of metabolic scaling has remained unresolved: metabolism is proportional to body mass in small organisms but follows Kleiber’s three-quarter-power law in larger animals. We derive both regimes from the Metabolic Holon (MH), a locally optimized capillary–tissue oxygen-supply…
Yuesong Wu, Haohao Su, Yuehua Cui
Cell-cell communication (CCC) is essential for maintaining tissue organization and driving biological progression, yet its inference from transcriptomic data has long been limited by the absence of spatial context. Advances in spatial transcriptomics (ST) now enable mechanistically grounded analyses of CCC by…
Junjie Yao, Zhongxu Li, Cuiping Wang, Junyu Wu + 3 more
A motion control strategy based on multi-source heterogeneous motion information fusion and motion decoupling parallel washout algorithm (WA) is proposed for the control of a rehabilitation robot designed for stroke-related balance disorders. The robot features a serial-parallel hybrid structure and humanoid gait…
Kunyu Wang, Jon Paul Janet, Alessandro Tibo
Three-dimensional molecular generative models have emerged that produce de novo molecules both unconditionally and conditionally, e.g., within protein pockets. However, steering those models in a specific region of the chemical space that satisfies a set of desired properties remains challenging. In this study, we…
Ella Wilczynski, Kulam Najmudeen Magdoom, Alexandru V Avram, Nathan H Williamson + 3 more
To demonstrate the feasibility of whole-brain multidimensional T_1_-T_2_ relaxation imaging on a portable 0.064 T MRI scanner. A two-dimensional inversion-recovery, fast spin-echo acquisition was used to jointly encode T_1_ and T_2_ relaxation. Joint relaxation distributions were reconstructed voxel-wise using…
Justina Stark, Christophe Godin
Biological transport networks range from tree-like to highly reticulated architectures, which have been proposed to reflect different balances between viscous dissipation and metabolic cost. This balance cannot currently be inferred from structure: available descriptors either discard edge width entirely or preserve it…
Eliezer Masliah
How transient neural representations become integrated and stable enough to function as internal neural models remains incompletely understood. Grounded in efficient coding, Bayesian and predictive frameworks, recurrent and attractor dynamics, neural state-space models, and systems neuroscience, the Principle of…
Hadeer Kamal, Amira Y. Haikal, Mahmoud M. Saafan
Traffic collisions and congestion represent significant challenges within intelligent transportation systems (ITS). Consequently, a vehicular ad-hoc network (VANET) has been established. Numerous architectures have been incorporated into VANETs to manage the extensive data generated by vehicles. Collaboration with fog…