The relevant data file for this article. حسب Linsha Liu (20378293)

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Cell-TRACTR detects cells in the first frame at time t 0. Object queries predicted to be a “cell” are converted to track queries. For Track Group Denoising (TGD), random noise is a... حسب Owen M. O’Connor (11965460)

Relevant computed image data. حسب Zhaoyu Ku (20660546)

City driving speed query results. حسب Meilin Zhu (688698)

Cells are initially detected in frame t₀ and then tracked to frame t₁. Object queries are processed in the first layer of the decoder for object detection. In... حسب Owen M. O’Connor (11965460)

A* Path-Finding Algorithm to Determine Cell Connections حسب Max Weng (22327159)

Summary of relevant works. حسب Bashir Olaniyi Sadiq (22478011)

Number of tweets collected per query and type. حسب Sylvia Iasulaitis (8301189)

Example illustrating how object and track queries interact using an attention map processed by Cell-TRACTR across two subsequent frames. The schematic displays the actual output al... حسب Owen M. O’Connor (11965460)

Algorithm testing. حسب Ziad M. Ali (12516532)

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The relevant code in the manuscript can be found in the supporting information data file. حسب Xini Fang (20861990)

Model-relevant variable data for external patients. حسب Lei Gao (6566)

Relevant data underlying the findings described in manuscript. حسب Lin Qi (128224)

Data generation algorithm. حسب Aluwani Ramalata (21262977)

TB screening and diagnostic algorithm. حسب Arangba S (21656068)

Performance of ENQUIRE’s gene normalization algorithm. حسب Luca Musella (19986312)

Relevant Parameters. حسب Dongyan Wang (195482)

Example of a knowledge query. حسب Bei Li (90587)

Convergence curves of the investigated algorithms. حسب Ziad M. Ali (12516532)

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Data Sheet 1_Algorithmic esthetics meets human intuition: the synergy of innovation and relevance shapes sustained attention.pdf حسب Wen Guan (5612195)