Results 61 to 70 of about 183,753 (306)

Analysing the significance of small conformational changes and low occupancy states in serial crystallographic data

FEBS Open Bio, EarlyView.
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill, Yelyzaveta Pulnova, Elke De Zitter, Helen M. Ginn, Briony A. Yorke   +4 more
wiley   +1 more source

Blood‐based proteomic profiling reveals context‐dependent changes in BCL2‐associated signaling during taxane therapy in breast cancer patients

FEBS Open Bio, EarlyView.
Chemotherapy side effects significantly impact cancer survivors' quality of life. Using protein levels in blood samples from breast cancer patients before and after 12 weeks of taxane treatment, we detected treatment‐dependent changes in calcium signaling and aging pathways associated with cancer recurrence.
Saira Munshani, Eiman Y. Ibrahim, Rozalyn L. Rodwin, Leah M. Ferrucci, Kim Blenman, Maryam Lustberg, Barbara E. Ehrlich   +6 more
wiley   +1 more source

Variational Bayesian Inference for Multiple Extended Targets or Unresolved Group Targets Tracking

IET Radar, Sonar & Navigation
In this work, we propose a method for tracking multiple extended targets or unresolvable group targets in a clutter environment. First, based on the random matrix model (RMM), each target's joint kinematic–extent state is modelled as a gamma Gaussian ...
Yuanhao Cheng, Yunhe Cao, Tat‐Soon Yeo, Yulin Zhang, Jie Fu   +4 more
doaj   +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

HPMC: A Multi-target Tracking Algorithm for the IoT

Intelligent Automation & Soft Computing, 2021
With the rapid development of the Internet of Things and advanced sensors, vision-based monitoring and forecasting applications have been widely used. In the context of the Internet of Things, visual devices can be regarded as network perception nodes that perform complex tasks, such as real-time monitoring of road traffic flow, target detection, and ...
Xinyue Lv, Xiaofeng Lian, Li Tan, Yanyan Song, Chenyu Wang   +4 more
openaire   +2 more sources

Segmentation-tracking feedback approach for high-performance video surveillance applications

, 2010
Here, a novel and efficient feedback system for moving object segmentation and tracking is proposed. Through the use of non-parametric background-foreground modeling, moving objects are correctly detected in unfavorable situations such as dynamic ...
Narciso Garcia, Carlos Cuevas, García Santos, Narciso, Jaureguizar Núñez, Fernando, Cuevas Rodríguez, Carlos, Carlos R. del Blanco, Fernando Jaureguizar, Blanco Adán, Carlos Roberto del   +7 more
core   +1 more source

Directed evolution of enzymes at the crossroads of tradition and innovation

FEBS Open Bio, EarlyView.
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova, Andrej Mirossay, Erik Sedlak   +2 more
wiley   +1 more source

Adaptive grid‐driven probability hypothesis density filter for multi‐target tracking

IET Signal Processing, 2021
The probability hypothesis density (PHD) filter and its cardinalised version PHD (CPHD) have been demonstratedasa class of promising algorithms for multi‐target tracking (MTT) with unknown,time‐varying number of targets.
Jinlong Yang, Jiuliu Tao, Yuan Zhang
doaj   +1 more source

MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis

FEBS Open Bio, EarlyView.
MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss, Ao Li, Eduardo H. Gilglioni, Mayank Bansal, Sumeet Pal Singh, Latifa Bakiri, Alessandra K. Cardozo, Esteban N. Gurzov   +7 more
wiley   +1 more source

Adaptive Target Birth Intensity Multi-Bernoulli Filter with Noise-Based Threshold

Sensors, 2019
Adaptively modeling the target birth intensity while maintaining the filtering efficiency is a challenging issue in multi-target tracking (MTT). Generally, the target birth probability is predefined as a constant and only the target birth density is ...
Xiaolong Hu, Hongbing Ji, Long Liu
doaj   +1 more source