Results 41 to 50 of about 5,303,939 (309)
Pediatric Blood &Cancer, EarlyView.ABSTRACT Pediatric intramedullary low‐grade gliomas (PIMLGGs) are rare neoplasms that present unique clinical and management challenges. Although surgery remains the primary tool for tissue diagnosis and decompression, complete gross‐total resection is frequently unfeasible due to the infiltrative nature of these lesions.
Olga M. Sergeenko +5 more
wiley +1 more source
Discover WaterClimate change and urbanization are intensifying pressures on the sustainable development of water-scarce regions. Exploring adaptive management strategies and models is therefore critical.
Yuan Fang +3 more
doaj +1 more source
Forecasting wind power for the day-ahead market using numerical weather prediction models and computational intelligence techniques [PDF]
, 2015 Wind power forecasting is essential for the integration of large amounts of wind power into the electric grid, especially during large rapid changes of wind generation.
Martínez-Arellano, G
core
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Adult survivors of childhood acute lymphoblastic leukemia (ALL) are at risk of reduced exercise capacity, decreased physical activity levels, persistent fatigue, and neurocognitive deficits. The aim was to investigate exercise capacity and physical activity levels of adult survivors of childhood ALL and their associations with ...
Laura Jess +5 more
wiley +1 more source
Journal of the Fuel Society of Japan, 1953 現在使用燃料の種類に応じて各種のエンヂンが存在しているが, その相当数が今後ガスタービンにとつてかわられるものと予想し, 使用燃料別の各種開放サイクルガスタービンならびに密閉サイクルガスタービン, 自由ピストンがスタービンについて解説し.また問題の原子力の利用についても, 石墨炉, 重水タンク, 水ボイラなどについて説明を行つた。
openaire +2 more sources
A Novel Wind Power Forecast Model: Statistical Hybrid Wind Power Forecast Technique (SHWIP)
IEEE Transactions on Industrial Informatics, 2015 As the result of increasing population and growing technological activities, nonrenewable energy sources, which are the main energy providers, are diminishing day by day. Due to this factor, efforts on efficient utilization of renewable energy sources have increased all over the world.
Mehmet Baris Özkan, Pinar Karagoz
openaire +3 more sources
, 2023 The Machine Learning/Deep Learning (ML/DL) forecasting model has helped stakeholders overcome uncertainties associated with renewable energy resources and time planning for probable near-term power fluctuations.
Qin Wang +15 more
core +1 more source
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Patients with chronic kidney disease undergoing hemodialysis commonly experience reduced physical function, fatigue, poor sleep quality, and impaired health‐related quality of life. Intradialytic exercise has been proposed as a non‐pharmacological strategy to improve these outcomes.
Klebson da Silva Almeida +6 more
wiley +1 more source
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Maintenance hemodialysis (MHD) patients frequently suffer from frailty, characterized by reduced physical function and poor prognosis. Myokines, such as myonectin, secreted by muscle, are emerging regulators of systemic health. This study investigated the relationship between serum myonectin, adipokines (adiponectin, omentin), and ...
Kenichi Kono +7 more
wiley +1 more source
TransPVP: A Transformer-Based Method for Ultra-Short-Term Photovoltaic Power Forecasting
EnergiesThe increasing adoption of renewable energy, particularly photovoltaic (PV) power, has highlighted the importance of accurate PV power forecasting. Despite advances driven by deep learning (DL), significant challenges remain, particularly in capturing ...
Jinfeng Wang +5 more
doaj +1 more source