Results 61 to 70 of about 167,571 (284)
Scalable Task Planning via Large Language Models and Structured World Representations
Advanced Robotics Research, EarlyView.This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari +4 more
wiley +1 more source
Towards in silico prognosis using big data
Current Directions in Biomedical Engineering, 2016 Clinical diagnosis and prognosis usually rely on few or even single measurements despite clinical big data being available. This limits the exploration of complex diseases such as adolescent idiopathic scoliosis (AIS) where the associated low bone mass ...
Ohs Nicholas +7 more
doaj +1 more source
Automatic Screening for Perturbations in Boolean Networks
Frontiers in Physiology, 2018 A common approach to address biological questions in systems biology is to simulate regulatory mechanisms using dynamic models. Among others, Boolean networks can be used to model the dynamics of regulatory processes in biology.
Julian D. Schwab +2 more
doaj +1 more source
Stable Imitation of Multigait and Bipedal Motions for Quadrupedal Robots Over Uneven Terrains
Advanced Robotics Research, EarlyView.How are quadrupedal robots empowered to execute complex navigation tasks, including multigait and bipedal motions? Challenges in stability and real‐world adaptation persist, especially with uneven terrains and disturbances. This article presents an imitation learning framework that enhances adaptability and robustness by incorporating long short‐term ...
Erdong Xiao +3 more
wiley +1 more source
Boolean Models of Bistable Biological Systems
, 2009 This paper presents an algorithm for approximating certain types of dynamical systems given by a system of ordinary delay differential equations by a Boolean network model.
A. Novick +16 more
core +1 more source
PD‐1 Inhibits CD4+ TRM‐Mediated cDC1 Mobilization via Suppressing JAML in Human NSCLC
Advanced Science, EarlyView.CD4+ tissue‐resident memory T cells (TRMs) in non‐small cell lung cancer recruit conventional type 1 dendritic cells via XCL1‐XCR1 signaling, orchestrating antitumor immunity. The costimulatory molecule JAML is essential for this process. PD‐1 blockade restores JAML expression and cDC1 mobilization, while JAML agonists synergize with anti‐PD‐1 therapy,
Zheyu Shao +16 more
wiley +1 more source
Number and length of attractors in a critical Kauffman model with connectivity one
, 2005 The Kauffman model describes a system of randomly connected nodes with dynamics based on Boolean update functions. Though it is a simple model, it exhibits very complex behavior for "critical" parameter values at the boundary between a frozen and a ...
B. Derrida +5 more
core +1 more source
IEEE/ACM Transactions on Networking, 2018 This paper proposes and investigates a Boolean gossip model as a simplified but non-trivial probabilistic Boolean network. With positive node interactions, in view of standard theories from Markov chains, we prove that the node states asymptotically converge to an agreement at a binary random variable, whose distribution is characterized for large ...
Bo Li +4 more
openaire +2 more sources
On the Origins of Toughness in Corymbia calophylla (Marri Tree) Nuts
Advanced Science, EarlyView.We uncover the natural toughening mechanisms of the marri nut, including fiber pullout, crack deflection, and a viscoelastic matrix, which enable exceptional energy absorption and ductility comparable to Teflon, with an elastic modulus similar to acrylic.
Wegood M. Awad +7 more
wiley +1 more source
Gene regulatory network state estimation from arbitrary correlated measurements
EURASIP Journal on Advances in Signal Processing, 2018 Background Advancements in gene expression technology allow acquiring cheap and abundant data for analyzing cell behavior. However, these technologies produce noisy, and often correlated, measurements on the transcriptional states of genes.
Mahdi Imani, Ulisses Braga-Neto
doaj +1 more source