Results 71 to 80 of about 66,174 (304)
Attentional costs in multiple-object tracking [PDF]
Attentional demands of multiple-object tracking were demonstrated using a dual-task paradigm. Participants were asked to make speeded responses based on the pitch of a tone, while at the same time tracking four of eight identical dots. Tracking difficulty was manipulated either concurrent with or after the tone task.
Michael, Tombu, Adriane E, Seiffert
openaire +2 more sources
Single‐molecule DNA flow‐stretch assays for high‐throughput DNA–protein interaction studies
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
Individual honey bee tracking in a beehive environment using deep learning and Kalman filter
The honey bee is the most essential pollinator and a key contributor to the natural ecosystem. There are numerous ways for thousands of bees in a hive to communicate with one another.
Panadda Kongsilp +2 more
doaj +1 more source
In Situ Holothurian Noncontact Counting System: A General Framework for Holothurian Counting
Holothurian counting is a basic requirement in aquaculture. An in situ noncontact approach for holothurian counting is basically harmless, which makes such techniques an optimal choice for aquaculture monitoring. To develop an in situ noncontact counting
Xinliang Zhang +5 more
doaj +1 more source
Long‐term hippocampal alterations and cognitive impairment in a murine model of surgical sepsis
Using a mouse model of surgical sepsis, we tested long‐term memory and analyzed the transcriptome of single cells isolated from the hippocampus. Survivor mice showed worse memory, loss of certain brain cell subpopulations, and abnormal immune cell activity—suggesting that post‐sepsis brain alterations may be linked to cognitive deficits.
Dong Seong Cho +4 more
wiley +1 more source
Perception, Distance Estimation, and Tracking Integration From BEV Representations
Strong perception, precise distance estimate, and dependable object tracking are necessary for autonomous vehicle systems to function. To improve autonomous driving capabilities, we describe a unique deep learning-based fusion architecture in this paper ...
Saidrasul Usmankhujaev +2 more
doaj +1 more source
Directed evolution of enzymes at the crossroads of tradition and innovation
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 +2 more
wiley +1 more source
EnhanceCenter for improving point based tracking and rich feature representation
In this study, we propose EnhanceCenter, a multiple-object tracking model that demonstrates enhanced tracking efficiency and stability while reducing dependencies on computationally intensive detectors.
Hyun-Sung Yang +3 more
doaj +1 more source
The automatic cultivation of corn has become a significant research focus, with precision equipment operation being a key aspect of smart agriculture’s advancement.
Yuliang Gao +3 more
doaj +1 more source
Remapping attention in multiple object tracking
Which coordinate system do we use to track moving objects? In a previous study using smooth pursuit eye movements, we argued that targets are tracked in both retinal (retinotopic) and scene-centered (allocentric) coordinates (Howe, Pinto, & Horowitz, 2010).
Howe, P.D.L. +3 more
openaire +4 more sources

