Results 71 to 80 of about 3,806,141 (312)
Organoids in pediatric cancer research
FEBS Letters, EarlyView.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
A New Hybrid Model for Short-Term Electricity Load Forecasting
IEEE Access, 2019 Nowadays electricity load forecasting is important to further minimize the cost of day-ahead energy market. Load forecasting can help utility operators for the efficient management of a demand response program. Forecasting of electricity load demand with
Md. Rashedul Haq, Zhen Ni
doaj +1 more source
Short-Term Power Load Forecasting Based on Cross Multi-Model and Second Decision Mechanism
IEEE Access, 2020 Short-term load forecasting (STLF) plays a vital role in the reliable, secure, and efficient operation of power systems. Since electric load variation results from diverse factors, accurate and stable load forecasting remains a challenging task.
Pan Zeng, Min Jin, Md. Fazla Elahe
doaj +1 more source
Load forecasting for energy communities: a novel LSTM-XGBoost hybrid model based on smart meter data
Energy Informatics, 2022 Accurate day-ahead load forecasting is an important task in smart energy communities, as it enables improved energy management and operation of flexibilities.
Leo Semmelmann +2 more
semanticscholar +1 more source
By dawn or dusk—how circadian timing rewrites bacterial infection outcomes
FEBS Letters, EarlyView.The circadian clock shapes immune function, yet its influence on infection outcomes is only beginning to be understood. This review highlights how circadian timing alters host responses to the bacterial pathogens Salmonella enterica, Listeria monocytogenes, and Streptococcus pneumoniae revealing that the effectiveness of immune defense depends not only
Devons Mo +2 more
wiley +1 more source
Power Load Prediction Based on Fractal Theory
Advances in Mathematical Physics, 2015 The basic theories of load forecasting on the power system are summarized. Fractal theory, which is a new algorithm applied to load forecasting, is introduced.
Liang Jian-Kai +2 more
doaj +1 more source
FEBS Letters, EarlyView.This perspective highlights emerging insights into how the circadian transcription factor CLOCK:BMAL1 regulates chromatin architecture, cooperates with other transcription factors, and coordinates enhancer dynamics. We propose an updated framework for how circadian transcription factors operate within dynamic and multifactorial chromatin landscapes ...
Xinyu Y. Nie, Jerome S. Menet
wiley +1 more source
IEEE Access, 2021 To fully mine the relationship between temporal features in load data, improve the accuracy and efficiency of short-term load forecasting and overcome the difficulties caused by load nonlinearity and volatility in accurate load forecasting. In this paper,
Hanhong Shi +5 more
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Short-Term Electrical Load Forecasting Based on VMD and GRU-TCN Hybrid Network
Applied Sciences, 2022 With the continuous increase in user-side flexible controllable resources connected into a distribution system, the components of electrical load become too diverse and difficult to be accuracy forecasted.
Changchun Cai +4 more
semanticscholar +1 more source
Protein pyrophosphorylation by inositol pyrophosphates — detection, function, and regulation
FEBS Letters, EarlyView.Protein pyrophosphorylation is an unusual signaling mechanism that was discovered two decades ago. It can be driven by inositol pyrophosphate messengers and influences various cellular processes. Herein, we summarize the research progress and challenges of this field, covering pathways found to be regulated by this posttranslational modification as ...
Sarah Lampe +3 more
wiley +1 more source