Results 91 to 100 of about 3,643 (247)
Robotic Specialization in Autonomous Robotic Structural Assembly [PDF]
Robotic in-space assembly of large space structures is a long-term NASA goal to reduce launch costs and enable larger scale missions. Recently, researchers have proposed using discrete lattice building blocks and co-designed robots to build high ...
Bernus, Borbala +4 more
core +1 more source
Sampling-based optimal kinodynamic planning with motion primitives
This paper proposes a novel sampling-based motion planner, which integrates in RRT* (Rapidly exploring Random Tree star) a database of pre-computed motion primitives to alleviate its computational load and allow for motion planning in a dynamic or ...
Bascetta, Luca +3 more
core
bacNeo: A Computational Toolkit for Identifying Bacteria‐Derived Neoantigens in Human Cancers
We present bacterial neoantigen (bacNeo), a multi‐omics‐based computational software to classify bacterial components (BACC), type bacteria‐bound HLA alleles (BACH), and prioritize bacterial peptides as neoantigens (BACP). Bacterial neoantigen potential is quantified by score for peptide antigenicity recognition & kinetics (SPARK), enabling ...
Yunzhe Wang +5 more
wiley +1 more source
Non‐Uniform Programmable Photonic Waveguide Meshes
Integrating defect cells into uniform hexagonal waveguide meshes overcomes the fundamental spectral and temporal limitations of programmable photonics. By leveraging the Vernier effect through non‐uniform coupled cavities, this architecture achieves a tenfold increase in free spectral range and ultra‐fast sampling times, paving the way for next ...
Cristina Catalá‐Lahoz, José Capmany
wiley +1 more source
ABSTRACT Purpose To investigate the utility of a recently demonstrated diffusion MRI derived axon diameter surrogate measure (∆D⟂) under pathologic conditions induced by a spinal cord injury model. Methods Contusion injuries were performed on the thoracic–lumbar spinal cord of adult male rats.
Hannah E. Alderson +4 more
wiley +1 more source
This review evaluates how machine learning, multimodal integration, and generative AI optimize kidney transplant outcomes. These tools enable superior prediction and personalized therapy but face hurdles in data volume, generalizability, and ethics. Future clinical adoption depends on continued innovation and multidisciplinary collaboration to overcome
Maoxin Liao, Cheng Yang
wiley +1 more source
Process improvement and automation in construction: Opposing or complementing approaches? [PDF]
It is widely recognized that there must be wide-ranging changes in construction before automation can be implemented in practice. On the other hand, the innovation rate of construction is rather low, and thus it is unclear, how the steps necessary for ...
Koskela, Lauri
core
ABSTRACT Under continued climate warming, understanding present‐day permafrost distribution and the controls on ground thaw are critical for predicting permafrost thaw trajectories and associated implications. This study presents a high‐resolution investigation of permafrost extent and active layer thickness (ALT) across a coniferous forested hillslope
Alana Muenchrath +2 more
wiley +1 more source
ICON outperforms COSMO in simulating a south foehn event in the Alpine Rhine Valley, with improved accuracy in temperature, wind speed, and foehn timing. This enhanced performance likely results from a more accurate representation of surface energy balance and gravity wave pattern on the lee side of the mountain.
Yue Tian +3 more
wiley +1 more source
Estimating spatio-temporal fields through reinforcement learning. [PDF]
Padrao P +3 more
europepmc +1 more source

