Results 41 to 50 of about 5,087,756 (305)
Organoids in pediatric cancer research
Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley +1 more source
Hydroelectric power is a significant renewable energy source for the development of countries. However, climatic data can impact power generation in hydroelectric power plants.
Feyza Nur Çakıcı +2 more
doaj +1 more source
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)
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
Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system
Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley +1 more source
Design and analysis strategies for robust microbiome ageing research
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source
Long sequence time-series forecasting method based on multi-scale segmentation
Addressing challenges posed by large volumes of historical data, high computational complexity and stringent prediction accuracy requirements in long sequence time-series forecasting, we propose a Transformer model incorporating the concept of multi ...
HE Shenglin +8 more
doaj +1 more source
Extreme Learning Machine-Based Power Forecasting in Photovoltaic Systems
With the consuming of fossil fuels, sustainable alternative sources are needed for energy production. Renewable energy is an important source in the fight against climate change and provides economic benefits by increasing energy security.
Zeynep Bala Duranay
doaj +1 more source
Asset Bundling for Wind Power Forecasting
The growing penetration of intermittent, renewable generation in US power grids, especially wind and solar generation, results in increased operational uncertainty. In that context, accurate forecasts are critical, especially for wind generation, which exhibits large variability and is historically harder to predict.
Hanyu Zhang +5 more
openaire +2 more sources
Reconstructing enzyme evolution by protein engineering
Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler +2 more
wiley +1 more source

