Results 101 to 110 of about 1,923,141 (282)
Molecular Oncology, EarlyView.Incomplete microwave ablation (iMWA) of liver cancer triggers a biphasic progression in residual tumors. At Day 3, the microenvironment is characterized by acute inflammatory responses and extracellular matrix (ECM) remodeling. By Day 14, a profound shift occurs toward oncogenic signal transduction and immunosuppression, marked by macrophage ...
Yu Liu +9 more
wiley +1 more source
The Unscented Particle Filter.
, 2016 In this paper, we propose a new particle filter based on sequential importance sampling. The algorithm uses a bank of unscented filters to obtain the importance proposal distribution. This proposal has two very "nice" properties. Firstly, it makes efficient use of the latest available information and, secondly, it can have heavy tails.
Van Der Merwe, R +3 more
openaire +3 more sources
Particle Filter Tracking without Dynamics
Applied Bionics and Biomechanics, 2007 People tracking is an interesting topic in computer vision. It has applications in industrial areas such as surveillance or human-machine interaction.
Jaime Ortegon-Aguilar +1 more
doaj +1 more source
International Journal of Electrochemical Science, 2020 Accurate estimation of State of Charge (SOC) of wireless sensor network nodes is of great significance for wireless sensor network layout. A combination strategy method based on unscented particle filter using weight particle swarm optimization (PSO-UPF)
Lei Chen +4 more
doaj +1 more source
Mutant p53R273H disrupts PDPK1 homodimerization and contributes to PDPK1 activation
Molecular Oncology, EarlyView.How mutant p53R273H drives AKT signaling is unclear. We show that p53R273H, but not wild‐type, directly binds PDPK1 via a mutation‐dependent conformational change. This interaction disrupts inhibitory PDPK1 homodimerization and enhances AKT phosphorylation.
Mei Chee Lim +11 more
wiley +1 more source
Distributional Clauses Particle Filter [PDF]
, 2014 We review the Distributional Clauses Particle Filter (DCPF), a statistical relational framework for inference in hybrid domains over time such as vision and robotics. Applications in these domains are challenging for statistical relational learning as they require dealing with continuous distributions and dynamics in real-time.
Nitti, Davide +2 more
openaire +1 more source
Two-layer particle filter for multiple target detection and tracking [PDF]
, 2012 This paper deals with the detection and tracking of an unknown number of targets using a Bayesian hierarchical model with target labels. To approximate the posterior probability density function, we develop a two-layer particle filter.
Morelande, Mark R. +2 more
core
Single‐molecule DNA flow‐stretch assays for high‐throughput DNA–protein interaction studies
FEBS Open Bio, EarlyView.We describe an optimised single‐molecule DNA flow‐stretch assay that visualises DNA–protein interactions in real time. Linear DNA fragments are tethered to a surface and stretched by buffer flow for fluorescence imaging. Using λ and φX174 DNA, this protocol enhances reproducibility and accessibility, providing a versatile approach for studying diverse ...
Ayush Kumar Ganguli +8 more
wiley +1 more source
IEEE Transactions on Signal ProcessingIn cognitive systems, recent emphasis has been placed on studying the cognitive processes of the subject whose behavior was the primary focus of the system's cognitive response. This approach, known as inverse cognition, arises in counter-adversarial applications and has motivated the development of inverse Bayesian filters.
Himali Singh +2 more
openaire +2 more sources
, 2008 In this paper, we consider the problem of filtering in relational hidden Markov models. We present a compact representation for such models and an associated logical particle filtering algorithm. Each particle contains a logical formula that describes a set of states.
Zettlemoyer, Luke S. +2 more
openaire +4 more sources