Results 151 to 160 of about 658,516 (302)
Prediction of Elution Profiles in Countercurrent Chromatography With a Linear Loss of Stationary Phase. [PDF]
Rüttler F, Ormos R, Vetter W.
europepmc +1 more source
DRIVE‐SAFE evaluates learning‐based, black‐box autonomous driving policies against evolving temporal safety requirements using Signal Temporal Logic robustness metrics. It aggregates distributional robustness measures with domain‐informed weights to guide iterative retraining.
Kristy Sakano +3 more
wiley +1 more source
Drift-diffusion dynamics of hippocampal replay. [PDF]
Wu Z, Wei XX.
europepmc +1 more source
Learning in networks: An experimental study using stationary concepts [PDF]
Our study analyzes theories of learning for strategic interactions in networks. Participants played two of the 2 x 2 games used by Selten and Chmura (2008) and in the comment by Brunner, Camerer and Goeree (2009).
Berninghaus, Siegfried K. +2 more
core
Intelligent Sky Guardians (InSkyGuard) is introduced as a four‐drone swarm that autonomously detects, tracks, and safely captures rogue drones using a coordinated net system. Computer vision and leader–follower control architecture enable synchronized enclosure, while integrated failsafes enhance system reliability. Validated through closed‐environment
Joshua Hastings +6 more
wiley +1 more source
Growth Phase-Related DNA Methylation and Localized DNA Fragment Density Variation in <i>Escherichia coli</i> and <i>Lactobacillus acidophilus</i> Genomes. [PDF]
Chen Z, Ong CT, Chau D, Ross EM.
europepmc +1 more source
A Low‐Cost, Handheld Optical Stiffness Sensor for Minimally Invasive Surgery
A novel handheld stiffness sensor is presented for real‐time tissue stiffness characterization. By simultaneously sensing contact force and tissue deformation, the device enables accurate stiffness quantification without requiring precise manual control. This approach offers a promising solution for intraoperative tumor detection and minimally invasive
Qianyu Ma +4 more
wiley +1 more source
Locomotion optimizes sensory representations through a computational principle shared by rodents and primates. [PDF]
Gant JM, Młynarski WF.
europepmc +1 more source
Letter from D. W. Kempner to The American Stationary Company asking if the company could oblige an order of a number of letter heads and ...
Kempner, Daniel W. (Daniel Webster), 1877-1956
core
WorMa is an amphibious undulatory robot that uses Center of Mass redistribution as the sole terrain adaptation mechanism. This mechanism is based on internal fluid mass redistribution through a pump‐driven latex balloon system that creates three profiles: head‐biased, balanced, and tail‐biased.
Daniil Filimonov, Nana Obayashi
wiley +1 more source

