Results 51 to 60 of about 388,298 (300)

Interplay between circadian and other transcription factors—Implications for cycling transcriptome reprogramming

open access: yesFEBS Letters, EarlyView.
This perspective highlights emerging insights into how the circadian transcription factor CLOCK:BMAL1 regulates chromatin architecture, cooperates with other transcription factors, and coordinates enhancer dynamics. We propose an updated framework for how circadian transcription factors operate within dynamic and multifactorial chromatin landscapes ...
Xinyu Y. Nie, Jerome S. Menet
wiley   +1 more source

Spatial-Temporal Relation Networks for Multi-Object Tracking

open access: yes, 2019
Recent progress in multiple object tracking (MOT) has shown that a robust similarity score is key to the success of trackers. A good similarity score is expected to reflect multiple cues, e.g.
Cao, Yue   +3 more
core   +1 more source

Peroxidasin enables melanoma immune escape by inhibiting natural killer cell cytotoxicity

open access: yesMolecular Oncology, EarlyView.
Peroxidasin (PXDN) is secreted by melanoma cells and binds the NK cell receptor NKG2D, thereby suppressing NK cell activation and cytotoxicity. PXDN depletion restores NKG2D signaling and enables effective NK cell–mediated melanoma killing. These findings identify PXDN as a previously unrecognized immune evasion factor and a potential target to improve
Hsu‐Min Sung   +17 more
wiley   +1 more source

KLK7 overexpression promotes an aggressive phenotype and facilitates peritoneal dissemination in colorectal cancer cells

open access: yesFEBS Open Bio, EarlyView.
KLK7, a tissue kallikrein‐related peptidase, is elevated in advanced colorectal cancer and associated with shorter survival. High KLK7 levels in ascites correlate with peritoneal metastasis. In mice, KLK7 overexpression increases metastasis. In vitro, KLK7 enhances cancer cell proliferation, migration, adhesion, and spheroid formation, driving ...
Yosr Z. Haffani   +6 more
wiley   +1 more source

Multiview System for Tracking a Fast Moving Object Against Complex Backgrounds [PDF]

open access: yes, 2016
Tracking the real world coordinate of a fast moving object against a complex background is very challenging. When designing a multi-view system for this purpose, one key consideration is the arrangement of the cameras such that the object can be ...
Wong, Patrick
core  

Recurrent Autoregressive Networks for Online Multi-Object Tracking

open access: yes, 2018
The main challenge of online multi-object tracking is to reliably associate object trajectories with detections in each video frame based on their tracking history.
Fang, Kuan   +3 more
core   +1 more source

Simple Unsupervised Multi-Object Tracking

open access: yes, 2020
Multi-object tracking has seen a lot of progress recently, albeit with substantial annotation costs for developing better and larger labeled datasets. In this work, we remove the need for annotated datasets by proposing an unsupervised re-identification network, thus sidestepping the labeling costs entirely, required for training.
Karthik, Shyamgopal   +2 more
openaire   +2 more sources

Re‐Awakening Public Attention to the Silent Pandemic of Cancer Among Older Adults in Low‐ and Middle‐Income Countries

open access: yesAging and Cancer, EarlyView.
ABSTRACT As global populations age, cancer is increasingly becoming a leading cause of morbidity and mortality among older adults, particularly in low‐ and middle‐income countries (LMICs). Despite accounting for the majority of new cancer cases and deaths, older individuals remain underrepresented in cancer research, clinical guidelines, and health ...
Ibrahim Bidemi Abdullateef   +2 more
wiley   +1 more source

Cross-Scene Multi-Object Tracking for Drones: Leveraging Meta-Learning and Onboard Parameters with the New MIDDTD

open access: yesDrones
Multi-object tracking (MOT) is a key intermediate task in many practical applications and theoretical fields, facing significant challenges due to complex scenarios, particularly in the context of drone-based air-to-ground military operations.
Chenghang Wang   +4 more
doaj   +1 more source

Deep learning for multiple object tracking: a survey

open access: yesIET Computer Vision, 2019
Deep learning has been proved effective in multiple object tracking, which confronts the difficulties of frequent occlusions, confusing appearance, in‐and‐out objects, and lack of enough labelled data.
Yingkun Xu   +3 more
doaj   +1 more source

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