Results 41 to 50 of about 210,556 (289)

Assessing spatiotemporal correlations from data for short-term traffic prediction using multi-task learning [PDF]

, 2018
Traffic flow prediction is a fundamental problem for efficient transportation control and management. However, most current data-driven traffic prediction work found in the literature have focused on predicting traffic from an individual task perspective,
Casas Vilaró, Jordi, Gavaldà Mestre, Ricard, Mena Yedra, Rafael   +2 more
core   +2 more sources

Traffic-Condition-Awareness Ensemble Learning for Traffic Flow Prediction

IFAC-PapersOnLine, 2020
Abstract Traffic prediction is an elemental function of Intelligent Transportation Systems (ITS), and accurate and timely prediction is significant for both proactive traffic control and providing traveler information. In this paper, we focus on investigating ensemble leaning that benefits from different base models, and propose a traffic-condition ...
Yuanyuan Chen, Yisheng Lv, Peijun Ye, Fenghua Zhu   +3 more
openaire   +1 more source

Integrated genomic and proteomic profiling reveals insights into chemoradiation resistance in cervical cancer

Molecular Oncology, EarlyView.
A comprehensive genomic and proteomic analysis of cervical cancer revealed STK11 and STX3 as a potential biomarkers of chemoradiation resistance. Our study demonstrated EGFR as a therapeutic target, paving the way for precision strategies to overcome treatment failure and the DNA repair pathway as a critical mechanism of resistance.
Janani Sambath, Irene A. George, Srikanth S. Manda, Prasanth Ariyannur, Ekta R. Dhawale, Raja Sekhar Kommu, Rajan Datar, Darshana Patil, Vinita Trivedi, Manisha Singh, Kumar Prabhash, Sewanti Limaye, Richa Chauhan, Prashant Kumar   +13 more
wiley   +1 more source

Patient‐specific pharmacogenomics demonstrates xCT as predictive therapeutic target in colon cancer with possible implications in tumor connectivity

Molecular Oncology, EarlyView.
This study integrates transcriptomic profiling of matched tumor and healthy tissues from 32 colorectal cancer patients with functional validation in patient‐derived organoids, revealing dysregulated metabolic programs driven by overexpressed xCT (SLC7A11) and SLC3A2, identifying an oncogenic cystine/glutamate transporter signature linked to ...
Marco Strecker, Keren Zohar, Martin Böttcher, Thomas Wartmann, Henry Freudenstein, Maximilian Doelling, Mihailo Andric, Wenjie Shi, Or Kakhlon, Katrin Hippe, Beatrix Jahnke, Dimitrios Mougiakakos, Franziska Baenke, Daniel Stange, Roland S. Croner, Michal Linial, Ulf D. Kahlert   +16 more
wiley   +1 more source

Overview of machine learning-based traffic flow prediction

Digital Transportation and Safety, 2023
Traffic flow prediction is an important component of intelligent transportation systems. Recently, unprecedented data availability and rapid development of machine learning techniques have led to tremendous progress in this field.
Zhibo Xing, Mingxia Huang, Dan Peng
doaj   +1 more source

Cell surface interactome analysis identifies TSPAN4 as a negative regulator of PD‐L1 in melanoma

Molecular Oncology, EarlyView.
Using cell surface proximity biotinylation, we identified tetraspanin TSPAN4 within the PD‐L1 interactome of melanoma cells. TSPAN4 negatively regulates PD‐L1 expression and lateral mobility by limiting its interaction with CMTM6 and promoting PD‐L1 degradation.
Guus A. Franken, Andrea Abel Gutierrez, Imke van Rossum, Cornelia G. Spruijt, Michiel Vermeulen, Guido van Mierlo, Blanca Scheijen, Annemiek B. van Spriel   +7 more
wiley   +1 more source

Short-term passenger flow forecast for urban rail transit based on multi-source data

EURASIP Journal on Wireless Communications and Networking, 2021
Short-term passenger flow prediction in urban rail transit plays an important role because it in-forms decision-making on operation scheduling. However, passenger flow prediction is affected by many factors.
Wei Li, Liying Sui, Min Zhou, Hairong Dong   +3 more
doaj   +1 more source

Investigating self-similarity and heavy-tailed distributions on a large scale experimental facility [PDF]

, 2010
International audienceAfter the seminal work by Taqqu et al. relating selfsimilarity to heavy-tailed distributions, a number of research articles verified that aggregated Internet traffic time series show self-similarity and that Internet attributes ...
Abry, Patrice, Borgnat, Pierre, Dewaele, Guillaume, Gonçalves, Paulo, Patrick, Loiseau, Primet Vicat-Blanc, Pascale   +5 more
core   +3 more sources

BMI‐1 modulation and trafficking during M phase in diffuse intrinsic pontine glioma

FEBS Open Bio, EarlyView.
The schematic illustrates BMI‐1 phosphorylation during M phase, which triggers its translocation from the nucleus to the cytoplasm. In cycling cells, BMI‐1 functions within the PRC1 complex to mediate H2A K119 monoubiquitination. Following PTC596‐induced M phase arrest, phosphorylated BMI‐1 dissociates from PRC1 and is exported to the cytoplasm via its
Banlanjo Umaru, Deepak Kumar Mishra, Shiva Senthil Kumar, Hao‐Han Pang, Brendan Devine, Komal Khan, Rachid Drissi   +6 more
wiley   +1 more source

A deep network with analogous self‐attention for short‐term traffic flow prediction

IET Intelligent Transport Systems, 2021
Short‐term traffic flow prediction plays a crucial role in research and application of intelligent transportation system. Neural network algorithm can use the big data for training and has more advantages over other prediction models in traffic features ...
Zhao Zhang, Xiaohong Jiao
doaj   +1 more source