Results 51 to 60 of about 638,433 (245)
Proteostasis and the gut microbiota play a key role in shaping host physiology. Microbiota‐derived metabolites, vitamins, and RNA modulate host proteostasis. Findings from model systems, including C. elegans, indicate microbes can either stabilize or disrupt host proteostasis.
Abhishek Anil Dubey, Maria Ermolaeva
wiley +1 more source
Natural hazards mitigation plan
Cover, Title Page, Acknowledgements, State of Oregon Promulgation, FEMA Approval -- Executive Summary -- Table of Contents, List of Figures, List of Tables -- Chapter 1. Introduction -- Chapter 2. Introduction -- Chapter 2.
core
Federated Learning with Sample-level Client Drift Mitigation
Federated Learning (FL) suffers from severe performance degradation due to the data heterogeneity among clients. Existing works reveal that the fundamental reason is that data heterogeneity can cause client drift where the local model update deviates from the global one, and thus they usually tackle this problem from the perspective of calibrating the ...
Haoran Xu, Jiaze Li, Wanyi Wu, Hao Ren
openaire +3 more sources
Other title: Hazard Mitigation Plan
[Revised].; application/pdf November 2007. This plan supersedes the Kansas Hazard Mitigation Plan dated 2004 Includes bibliographical references."The purpose of the Kansas Hazard Mitigation Plan is to guide hazard mitigation to better protect the people ...
Kansas Hazard Mitigation Team.
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Modelling stem cell differentiation related processes—A practical overview for biologists
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar +4 more
wiley +1 more source
Increasing pattern recognition accuracy for chemical sensing by evolutionary based drift compensation [PDF]
Artificial olfaction systems, which mimic human olfaction by using arrays of gas chemical sensors combined with pattern recognition methods, represent a potentially low-cost tool in many areas of industry such as perfumery, food and drink production ...
Squillero, Giovanni +14 more
core +1 more source
Topology reorganized graph contrastive learning with mitigating semantic drift
Graph contrastive learning (GCL) is an effective paradigm for node representation learning in graphs. The key components hidden behind GCL are data augmentation and positive-negative pair selection. Typical data augmentations in GCL, such as uniform deletion of edges, are generally blind and resort to local perturbation, which is prone to producing ...
Jiaqiang Zhang, Songcan Chen
openaire +3 more sources
Design and analysis strategies for robust microbiome ageing research
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source
Cancer progression is regulated by the dynamic matrix code of the tumor microenvironment, which influences cellular behavior and disease development. Importantly, matrix remodeling in three‐dimensional cancer models more accurately reflects in vivo conditions compared to conventional two‐dimensional systems.
Sylvia Mangani +3 more
wiley +1 more source
The adoption of cloud computing has been increasingly common across several industries in recent years and offers unparalleled flexibility and scalability in managing computational resources.
Tajwar Mehmood +4 more
doaj +1 more source

