Results 101 to 110 of about 15,987,795 (287)
Enhancing travel time prediction with deep learning on chronological and retrospective time order information of big traffic data. [PDF]
Chen CYT, Sun EW, Chang MF, Lin YB.
europepmc +1 more source
Dormant cancer cells can hide in distant organs for years, evading treatment and the immune system. This review highlights how signals from the surrounding tissue and immune environment keep these cells inactive or trigger their reawakening. Understanding these mechanisms may help develop therapies to eliminate or control dormant cells and prevent ...
Kanishka Tiwary +1 more
wiley +1 more source
A Heterogeneous Ensemble Approach for Travel Time Prediction Using Hybridized Feature Spaces and Support Vector Regression. [PDF]
Chughtai JU, Haq IU, Islam SU, Gani A.
europepmc +1 more source
This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska +13 more
wiley +1 more source
Towards Developing a Travel Time Forecasting Model for Location-Based Services: a Review [PDF]
Travel time forecasting models have been studied intensively as a subject of Intelligent Transportation Systems (ITS), particularly in the topics of advanced traffic management systems (ATMS), advanced traveler information systems (ATIS), and commercial ...
Jinsoo You, Tschangho John Kim
core
Travel Time Information on Signalized Arterials
Travel time information has become an essential component of everyday commuting. Without such information, schedule delays would increase, leading to inevitable losses in traveler utility.
Jinhwan Jang
doaj +1 more source
Trajectory Regression for Travel-Time Prediction
We propose a new method for predicting the travel-time along an arbitrary path between two locations on a map. Unlike traditional approaches, which focus only on particular links with heavy traffic, our method allows probabilistic prediction for arbitrary paths including links having no traffic sensors. We introduce two new ideas: to use string kernels
Idé, Tsuyoshi, Sei, Kato
openaire +2 more sources
Breast cancer remains a major cause of cancer death in women, frequently developing endocrine therapy resistance. This study demonstrates that upregulated p21‐activated kinase 1 (PAK1) activity drives resistance to tamoxifen and long‐term estrogen deprivation in ER+ breast cancer models.
Luisa Schwarzmüller +10 more
wiley +1 more source
Economic impact of travel, Oregon
This archived document is maintained by the State Library of Oregon as part of the Oregon Documents Depository Program. It is for informational purposes and may not be suitable for legal purposes.Mode of access: Internet from the Oregon Government ...
core
Translating whole‐genome doubling into precision medicine in cancer
Whole‐genome doubling creates a WGD‐positive tumor state characterized by persistent chromosomal instability, karyotypic diversification, and cellular stress. These same biological pressures drive aggressive tumor evolution while exposing therapeutic vulnerabilities, providing a rationale for WGD‐informed precision medicine. Whole‐genome doubling (WGD)
Sejung Lee, Junghyeok Lim, Jinhyuk Bhin
wiley +1 more source

