Results 51 to 60 of about 63,289 (291)
Diversity and complexity in neural organoids
FEBS Letters, EarlyView.Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley +1 more source
Dealing with latency effects in travel time prediction on motorways
Transportation Engineering, 2020 Real-time traffic information is now a crucial part of operating a road network. The quality, accuracy and reliability of such information is critical to the road operators and users.
David Laoide-Kemp, Margaret O'Mahony
doaj +1 more source
Decision Trees as a Tool for Real-Time Travel Time Estimation on Highways
, 2013 This paper presents a time travel estimation model based on a decision tree. Input parameter for travel time prediction is occupancy of detectors. The proposed model was tested on the most widely used arterial in Prague and also in the Czech Republic ...
Pavel Pribyl, Jakub Wosyka
core +1 more source
FEBS Letters, EarlyView.Ascidian Ciona larvae initially show strong clockwise tail twisting, which is largely corrected during development. However, a small residual twist remains. This study shows that organized helical myofibrils in tail muscles mechanically stabilize this residual asymmetry, preventing complete restoration of bilateral symmetry and revealing how embryos ...
Yuki S. Kogure +3 more
wiley +1 more source
JSTC: Travel Time Prediction with a Joint Spatial-Temporal Correlation Mechanism
Journal of Advanced Transportation, 2022 Accurate travel time prediction is one of the most promising intelligent transportation system (ITS) services, which can greatly support route planning, ride-sharing, navigation applications, and effective traffic management.
Alfateh M. Tag Elsir +3 more
doaj +1 more source
Combined Prediction of Short-Term Travel Time of Expressway Based on CEEMDAN Decomposition
IEEE Access, 2022 Travel time is the basis for intelligent emergency control and guidance in expressway networks. To realize its accurate prediction and improve the expressway service level during emergencies, this study uses a combined model to predict the short-term ...
Xingli Jia +3 more
doaj +1 more source
The human gut microbiome across the life course
FEBS Letters, EarlyView.Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero +4 more
wiley +1 more source
Effective Bus Travel Time Prediction System of Multiple Routes: Introducing PMLNet Based on MDARNN
Applied SciencesAccurate bus travel time prediction is crucial for improving travel experience, especially in transfer journeys. This study introduces a novel multi-route bus travel time prediction system-based PMLNet, a partition and combination prediction framework ...
Jianmei Lei +4 more
doaj +1 more source
Design and analysis strategies for robust microbiome ageing research
FEBS Letters, EarlyView.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
ISPRS International Journal of Geo-Information, 2016 The prediction of travel times is challenging because of the sparseness of real-time traffic data and the intrinsic uncertainty of travel on congested urban road networks.
Faming Zhang +5 more
doaj +1 more source