Results 61 to 70 of about 515,994 (291)
Organoids in pediatric cancer research
Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley +1 more source
Adaptive Multi-Model Fault Diagnosis of Dynamic Systems for Motion Tracking
For most real-world systems, the exact description of possible faults is unknown, making these faults difficult to detect, and even more difficult to identify. The most promising way is to use multiple hypotheses for faults to find the best fitting fault
Annalena Daniels +3 more
doaj +1 more source
Reciprocal control of viral infection and phosphoinositide dynamics
Phosphoinositides, although scarce, regulate key cellular processes, including membrane dynamics and signaling. Viruses exploit these lipids to support their entry, replication, assembly, and egress. The central role of phosphoinositides in infection highlights phosphoinositide metabolism as a promising antiviral target.
Marie Déborah Bancilhon, Bruno Mesmin
wiley +1 more source
The main concern of remote control systems for autonomous ground vehicles (AGVs) is to perform the given mission according to the purpose of the operator.
Changmook Kang +2 more
doaj +1 more source
Mobility is a significant robotic task. It is the most important function when robotics is applied to domains such as autonomous cars, home service robots, and autonomous underwater vehicles.
Xue-Bo Jin +5 more
doaj +1 more source
Tracking of Multiple Maneuvering Random Hypersurface Extended Objects Using High Resolution Sensors
With the increased resolution capability of modern sensors, an object should be considered as extended if the target extent is larger than the sensor resolution.
Lifan Sun +5 more
doaj +1 more source
Differentiable interacting multiple model particle filtering
We propose a sequential Monte Carlo algorithm for parameter learning when the studied model exhibits random discontinuous jumps in behaviour. To facilitate the learning of high dimensional parameter sets, such as those associated to neural networks, we adopt the emerging framework of differentiable particle filtering, wherein parameters are trained by ...
John-Joseph Brady +4 more
openaire +2 more sources
Fluorescent probes allow dynamic visualization of phosphoinositides in living cells (left), whereas mass spectrometry provides high‐sensitivity, isomer‐resolved quantitation (right). Their synergistic use captures complementary aspects of lipid signaling. This review illustrates how these approaches reveal the spatiotemporal regulation and quantitative
Hiroaki Kajiho +3 more
wiley +1 more source
Multiple-model tracking with fixed-lag smoothing using imprecise information [PDF]
A new multiple-model filter for target tracking has been developed and performed well in this thesis. The procedure of the new multiple model (MM) filter has no compromises between non-manoeuvre and manoeuvre, and between manoeuvres except in the ...
Yang, Zhufang
core
Multiple pedestrian tracking from monocular videos in an interacting multiple model framework [PDF]
© 2017 IEEE. We present a multiple pedestrian tracking method for monocular videos captured by a fixed camera in an interacting multiple model (IMM) framework.
Jiang, Z +3 more
core +1 more source

