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Efficient Multi-Task Training with Adaptive Feature Alignment for Universal Image Segmentation.
Sensors (Basel)
January 2025
Department of Electrical and Computer Engineering, Illinois Institute of Technology, Chicago, IL 60616, USA.
Universal image segmentation aims to handle all segmentation tasks within a single model architecture and ideally requires only one training phase. To achieve task-conditioned joint training, a task token needs to be used in the multi-task training to condition the model for specific tasks. Existing approaches generate the task token from a text input (e.
View Article and Find Full Text PDFExploiting the similarity of dissimilarities for biomedical applications and enhanced machine learning.
PLoS Comput Biol
January 2025
Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.
The "similarity of dissimilarities" is an emerging paradigm in biomedical science with significant implications for protein function prediction, machine learning (ML), and personalized medicine. In protein function prediction, recognizing dissimilarities alongside similarities provides a more detailed understanding of evolutionary processes, allowing for a deeper exploration of regions that influence biological functionality. For ML models, incorporating dissimilarity measures helps avoid misleading results caused by highly correlated or similar data, addressing confounding issues like the Doppelgänger Effect.
View Article and Find Full Text PDFMonocyte-Derived cxcl12 Guides a Directional Migration of Blood Vessels in Zebra Fish.
Arterioscler Thromb Vasc Biol
January 2025
School of Life Science, Nantong Laboratory of Development and Diseases and Co-Innovation Center of Neuroregeneration, Nantong University, China.
Background: Sprouting blood vessels, reaching the aimed location, and establishing the proper connections are vital for building vascular networks. Such biological processes are subject to precise molecular regulation. So far, the mechanistic insights into understanding how blood vessels grow to the correct position are limited.
View Article and Find Full Text PDFDo you have depression? A summative content analysis of mental health-related content on TikTok.
Digit Health
January 2025
Department of Occupational Science and Occupational Therapy, University of British Columbia, Vancouver, BC, Canada.
Background: TikTok is a global social media platform with over 1 billion active users. Presently, there are few data on how TikTok users navigate the platform for mental health purposes and the content they view.
Objective: This study aims to understand the patterns of mental health-related content on TikTok and assesses the accuracy and quality of the advice and information provided.
The competition for resources is a defining feature of microbial communities. In many contexts, from soils to host-associated communities, highly diverse microbes are organized into metabolic groups or guilds with similar resource preferences. The resource preferences of individual taxa that give rise to these guilds are critical for understanding fluxes of resources through the community and the structure of diversity in the system.
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