Results 91 to 100 of about 1,512,106 (277)

A light‐triggered Time‐Resolved X‐ray Solution Scattering (TR‐XSS) workflow with application to protein conformational dynamics

FEBS Open Bio, EarlyView.
Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei, Fredrik Orädd, Konstantinos Magkakis, Magnus Andersson   +3 more
wiley   +1 more source

An Improved Sequential Smoothing Particle Filtering Method

MATEC Web of Conferences, 2017
In order to cope with the challenges of non-cooperative targets such as stealth targets to modern radar, especially when traditional threshold detection and tracking methods can hardly detect fast-moving stealth targets, technological innovation has long
Cao Shijie
doaj   +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, Doucet, A, De Freitas, N, Wan, E   +3 more
openaire   +3 more sources

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, Mohammad Nour Alsamsam, Ugnė Bagdonaitė, Van Truc Vu, Chun‐Jen Huang, Polina Kuzhir, Mindaugas Zaremba, Aurimas Kopūstas, Marijonas Tutkus   +8 more
wiley   +1 more source

Effect of Self-Filtering Layer on Tailings–Steel Wire Mesh Interfacial Shearing Properties and Bearing Behavior of Drain Pipes

Buildings
The drain pipe wrapped in steel wire mesh serves a dual purpose of drainage and reinforcement in tailings pond projects. The self-filtering layer that develops upstream of the steel wire mesh influences the reinforcement characteristics of the drainage ...
Dongdong Li, Yuan Wang, Xuan Cui, Jingqi Huang   +3 more
doaj   +1 more source

Collaborative Differential Evolution Filtering for Tracking Hand-Object Interactions

IEEE Access, 2020
Human hands engage in interactive activities in many practical working scenarios, among which the interactions between human hands and objects are the most common.
Dongnian Li, Yang Guo, Chengjun Chen, Zhengxu Zhao   +3 more
doaj   +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, De Laet, Tinne, De Raedt, Luc   +2 more
openaire   +1 more source

Refinement of amino‐acid conformation vs. difference density maps in time‐resolved serial femtosecond crystallography data analysis

FEBS Open Bio, EarlyView.
The dFoCC pipeline starts with observed DED and resting‐state coordinates, which are then used to generate a library of triggered states. Correlation analysis of the calculated DED features of each candidate vs observed DED permits quantitative evaluation of candidate structural quality.
Meng Iao Fong, Yuhei Hosokawa, Lars Oliver Essen, Manuel Maestre‐Reyna   +3 more
wiley   +1 more source

Inverse Particle Filter

IEEE Transactions on Signal Processing
In 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, Arpan Chattopadhyay, Kumar Vijay Mishra   +2 more
openaire   +2 more sources

Logical Particle Filtering

, 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., Pasula, Hanna M., Pack Kaelbling, Leslie   +2 more
openaire   +4 more sources