Results 91 to 100 of about 3,518,669 (281)

Turkey's Long-Term Electricity Consumption Forecast

, 2022
Demand forecasting is essential primarily for planning. Although it is crucial in many sectors and issues, it has particular importance for electricity. Therefore, the issue of electricity consumption forecasting has recently become a prevalent topic.
AKKAYA, Gökay, Emec, S.
openaire   +2 more sources

A subset of MMR‐proficient colon cancers responds to neoadjuvant immunotherapy

Molecular Oncology, EarlyView.
Tan et al. reveal that a distinct subset of early‐stage pMMR colon cancers can respond to neoadjuvant immunotherapy. In the NICHE‐2 trial, responders (26%) were characterized by chromosomal instability, TP53 mutations, and proliferative cell‐cycle programs, whereas nonresponders showed metabolic and stromal reprogramming with TGF‐β‐driven ...
Eleonora Piumatti, Giovanni Germano, Pietro Paolo Vitiello, Alberto Bardelli   +3 more
wiley   +1 more source

Long-term forecasting of a motor outcome following rehabilitation in chronic stroke via a hierarchical bayesian dynamic model. [PDF]

J Neuroeng Rehabil, 2023
Schweighofer N, Ye D, Luo H, D'Argenio DZ, Winstein C.   +4 more
europepmc   +1 more source

PARP inhibition and pharmacological ascorbate demonstrate synergy in castration‐resistant prostate cancer

Molecular Oncology, EarlyView.
Pharmacologic ascorbate (vitamin C) increases ROS, disrupts cellular metabolism, and induces DNA damage in CRPC cells. These effects sensitize tumors to PARP inhibition, producing synergistic growth suppression with olaparib in vitro and significantly delayed tumor progression in vivo. Pyruvate rescue confirms ROS‐dependent activity.
Nicolas Gordon, Peter T. Gallagher, Orly I. Richter, Neermala Poudel Neupane, Amy C. Mandigo, Jennifer J. McCann, Emanuela Dylgjeri, Irina Vasilevskaya, Christopher McNair, Channing J. Paller, Wm. Kevin Kelly, Karen E. Knudsen, Matthew J. Schiewer, Ayesha A. Shafi   +13 more
wiley   +1 more source

Long-Term and Short-Term Photovoltaic Power Generation Forecasting Using a Multi-Scale Fusion MHA-BiLSTM Model

Energies
As the proportion of photovoltaic (PV) power generation continues to increase in power systems, high-precision PV power forecasting has become a critical challenge for smart grid scheduling.
Mengkun Li, Letian Sun, Yitian Sun
doaj   +1 more source

Energy systems scenario modelling and long term forecasting of hourly electricity demand

International Journal of Sustainable Energy Planning and Management, 2015
The Danish energy system is undergoing a transition from a system based on storable fossil fuels to a system based on fluctuating renewable energy sources.
Poul Alberg Østergaard, Frits Møller Andersen, Pil Seok Kwon   +2 more
doaj   +1 more source

Infrared laser sampling of low volumes combined with shotgun lipidomics reveals lipid markers in palatine tonsil carcinoma

Molecular Oncology, EarlyView.
Nanosecond infrared laser (NIRL) low‐volume sampling combined with shotgun lipidomics uncovers distinct lipidome alterations in oropharyngeal squamous cell carcinoma (OPSCC) of the palatine tonsil. Several lipid species consistently differentiate tumor from healthy tissue, highlighting their potential as diagnostic markers.
Leonard Kerkhoff, Manuela Moritz, Dennis Eggert, Anna Worthmann, Joerg Heeren, Henrike Zech, Till S. Clauditz, Waldemar Wilczak, Hartmut Schlüter, Christian S. Betz, Arne Böttcher, Jan Hahn   +11 more
wiley   +1 more source

Application of Neural Network with Autocorrelation in Long-Term Forecasting of Systemic Financial Risk. [PDF]

Comput Intell Neurosci, 2022
Zhang J, Chen L.
europepmc   +1 more source

Recurrent cancer‐associated ERBB4 mutations are transforming and confer resistance to targeted therapies

Molecular Oncology, EarlyView.
We show that the majority of the 18 analyzed recurrent cancer‐associated ERBB4 mutations are transforming. The most potent mutations are activating, co‐operate with other ERBB receptors, and are sensitive to pan‐ERBB inhibitors. Activating ERBB4 mutations also promote therapy resistance in EGFR‐mutant lung cancer.
Veera K. Ojala, Sini Ahonen, Sara Peltola, Aura Tuohisto‐Kokko, Olaya Esparta, Peppi Suominen, Anne Jokilammi, Iman Farahani, Deepankar Chakroborty, Nikol Dibus, Steffen Boettcher, Tomi T. Airenne, Mark S. Johnson, Lisa D. Eli, Klaus Elenius, Kari J. Kurppa   +15 more
wiley   +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