Results 111 to 120 of about 527,315 (302)

Short-Term Forecasting of Passenger Demand under On-Demand Ride Services: A Spatio-Temporal Deep Learning Approach

, 2017
Short-term passenger demand forecasting is of great importance to the on-demand ride service platform, which can incentivize vacant cars moving from over-supply regions to over-demand regions.
Chen, Ke, Jintao, Xiqun, Yang, Hai, Zheng, Hongyu   +4 more
core   +1 more source

Loss of IGF‐1R impairs DNA‐PKcs recruitment to chromatin leading to defective end‐joining

Molecular Oncology, EarlyView.
IGF‐1R promotes radioresistance by facilitating DNA‐PKcs recruitment to chromatin, enabling non‐homologous end‐joining (NHEJ) repair of double‐strand breaks. Inhibition or loss of IGF‐1R disrupts this recruitment to damage sites, driving compensatory reliance on microhomology‐mediated end‐joining (MMEJ) repair.
Matthew O. Ellis, Jack V. Mills, Wojciech Niedzwiedz, Valentine M. Macaulay   +3 more
wiley   +1 more source

A Deep Learning‐Based Long‐Term ENSO Forecasting Model: 3D‐STransformer

Journal of Geophysical Research: Machine Learning and Computation
The El Niño‐Southern Oscillation (ENSO) significantly impacts global climate variability, causing extreme events like droughts, floods, and heatwaves. Accurate prediction of ENSO is critical for managing agriculture, water resources, disaster prevention,
Jie Lian, Xinjiao Wu, Sirong Huang, Zhanyuan Chang   +3 more
doaj   +1 more source

Mitigating Long-Term Forecasting Bias in Time-Series Neural Networks via Ensemble of Short-Term Dependencies

Applied Sciences
Time-series forecasting is essential for predicting future trends based on historical data, with significant applications in meteorology, transportation, and finance.
Jiahui Wang, Wenqian Zhou, Fangshu Chen, Liming Wang, Ruijun Pan, Chengcheng Yu   +5 more
doaj   +1 more source

Enhancing long-term forecasting: Learning from COVID-19 models. [PDF]

PLoS Comput Biol, 2022
Rahmandad H, Xu R, Ghaffarzadegan N.
europepmc   +1 more source

Unified Long-Term Time Series Forecasting  Benchmark

In order to support the advancement of machine learning methods for predicting time-series data, we present a comprehensive dataset designed explicitly for long-term time-series forecasting. We incorporate a collection of datasets obtained from diverse, dynamic systems and real-life records. Each dataset is standardized by dividing it into training and
Cyranka, Jacek, Haponiuk, Szymon
openaire   +2 more sources

Mycobacterial cell division arrest and smooth‐to‐rough envelope transition using CRISPRi‐mediated genetic repression systems

FEBS Open Bio, EarlyView.
CRISPRI‐mediated gene silencing and phenotypic exploration in nontuberculous mycobacteria. In this Research Protocol, we describe approaches to control, monitor, and quantitatively assess CRISPRI‐mediated gene silencing in M. smegmatis and M. abscessus model organisms.
Vanessa Point, Wafaa Achache, Janïs Laudouze, Eliana Sepulveda Ramos, Mickaël Maziero, Céline Crauste, Stéphane Canaan, Pierre Santucci   +7 more
wiley   +1 more source

COVID-19 Pandemic Development in Jordan-Short-Term and Long-Term Forecasting. [PDF]

Vaccines (Basel), 2021
Hussein T, Hammad MH, Fung PL, Al-Kloub M, Odeh I, Zaidan MA, Wraith D.   +6 more
europepmc   +1 more source

dUTPase is essential in zebrafish development and possesses several single‐nucleotide variants with pronounced structural and functional consequences

FEBS Open Bio, EarlyView.
dUTPases are involved in balancing the appropriate nucleotide pools. We showed that dUTPase is essential for normal development in zebrafish. The different zebrafish genomes contain several single‐nucleotide variations (SNPs) of the dut gene. One of the dUTPase variants displayed drastically lower protein stability and catalytic efficiency as compared ...
Viktória Perey‐Simon, Angéla Békesi, Latifa Kazzazy, Jázmin Mihály, Máté Varga, Beáta G. Vértessy, Kinga Nyíri   +6 more
wiley   +1 more source

Tumor‐stromal crosstalk and macrophage enrichment are associated with chemotherapy response in bladder cancer

FEBS Open Bio, EarlyView.
Chemoresistance in bladder cancer: Macrophage recruitment associated with CXCL1, CXCL5 and CXCL8 expression is characteristic of Gemcitabine/Cisplatin (Gem/Cis) Non‐Responder tumors (right side) while Responder tumors did not show substantial tumor‐stromal crosstalk (left side). All biological icons are attributed to Bioicons: carcinoma, cancerous‐cell‐
Sophie Leypold, Janik Riese, Lancelot Seillier, Mark Kühnel, Julia Pannhausen, Charlotte O. J. Fröhlich, Christian Martin, Peter Boor, Matthias Saar, Danny D. Jonigk, Nadine T. Gaisa, Michael Rose   +11 more
wiley   +1 more source