Results 81 to 90 of about 32,258 (304)

A Data-Driven Method for Ship Motion Forecast

Journal of Marine Science and Engineering
Accurate forecasting of ship motion is of great significance for ensuring maritime operational safety and working efficiency. A data-driven ship motion forecast method is proposed in this paper, aiming at the problems of low generalization of a single ...
Zhiqiang Jiang, Yongyan Ma, Weijia Li
doaj   +1 more source

Mid-range forecasting of the load duration curve

Applied Mathematical Modelling, 1979
Little has been done by way of developing an objective technique for mid-range forecasting of a utility load duration curve. This paper endeavours to rectify this situation by developing a methodology to provide forecasts of economically optimal approximations to the load duration curve.
openaire   +1 more source

DNA methylation and expression of MAPRE3 affect overall survival of early‐stage non‐small cell lung cancer patients

Molecular Oncology, EarlyView.
Both cg12821679MAPRE3 methylation and MAPRE3 expression are significantly associated with overall survival (OS) of non‐small cell lung cancer. Meanwhile, MAPRE3 expression significantly modified the effect of smoking cessation on OS. Smoking cessation benefits OS merely for patients with high MAPRE3 expression.
Chao Chen, Jiancheng Cheng, Ruili Hou, Xiaoyuan Zheng, Li Su, Maria Moksnes Bjaanæs, Anna Karlsson, Maria Planck, Johan Staaf, Åslaug Helland, Manel Esteller, David C. Christiani, Feng Chen, Xiaofei Cao, Ruyang Zhang   +14 more
wiley   +1 more source

The past, present, and future of macroeconomic forecasting [PDF]

Broadly defined, macroeconomic forecasting is alive and well. Nonstructural forecasting, which is based largely on reduced-form correlations, has always been well and continues to improve.
Francis X. Diebold
core  

Clinical utilization of artificial intelligence in predicting therapeutic efficacy in pulmonary tuberculosis

Journal of Infection and Public Health
Traditional methods for monitoring pulmonary tuberculosis (PTB) treatment efficacy lack sensitivity, prompting the exploration of artificial intelligence (AI) to enhance monitoring.
Fuzhen Zhang, Fan Zhang, Liang Li, Yu Pang   +3 more
doaj   +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

Volatility forecasting [PDF]

, 2005
Volatility has been one of the most active and successful areas of research in time series econometrics and economic forecasting in recent decades. This chapter provides a selective survey of the most important theoretical developments and empirical ...
Tim Bollerslev, Diebold, Francis X., Torben G. Andersen, Francis X. Diebold, Andersen, Torben G., Peter F. Christoffersen, Bollerslev, Tim, Christoffersen, Peter F.   +7 more
core  

Software for "Forecasting the Remaining Duration of an Ongoing Solar Flare"

, 2021
Revised release of the code for submission with manuscript entitled "Forecasting the Remaining Duration of an Ongoing Solar Flare", submitted to the Space Weather ...
Barnes, Will T, Reep, Jeffrey W
core   +1 more source

Longitudinal genome‐wide aneuploidy measurements in circulating cell‐free DNA to predict lack of benefit from pembrolizumab in patients with metastatic urothelial cancer

Molecular Oncology, EarlyView.
Many patients with urothelial cancer do not benefit from treatment with pembrolizumab, while at risk of severe side effects. Changes in the levels of circulating tumor DNA early during treatment, measured by a simple and affordable assay that can be easily implemented in the clinic, can be used as a prognostic tool to identify these patients.
Youssra Salhi, Stavros Makrodimitris, Sandra van Wilpe, Iris te Paske, Vanja de Weerd, Corine M. Beaufort, Hans M. Westgeest, Jens Voortman, Maureen J. B. Aarts, Maud Rijnders, Astrid A. M. van der Veldt, Ronald de Wit, Niven Mehra, Saskia M. Wilting, Debbie G. J. Robbrecht   +14 more
wiley   +1 more source

Deep Quake Dynamics: A Multimodal Fault‐Aware Approach to Earthquake Magnitude and Occurrence Time Forecasting

Geoscience Data Journal
Earthquake (EQ) forecasting is critical for early warning systems. We propose an EQ Magnitude‐Time (EQMT) Forecasting Model that integrates real‐world inter‐fault relations, multiple data sources, and advanced modelling techniques to forecast EQ ...
Kiymet Kaya, Murat Sahin, Furkan Mangir, Alp Baris Beydemir, Cenk Yaltirak, Sule Gunduz Oguducu   +5 more
doaj   +1 more source