Results 101 to 110 of about 136,820 (296)

MiR‐513a promotes human erythroid differentiation by modulating c‐Jun

FEBS Open Bio, EarlyView.
During early human erythropoiesis, miR‐513a promoted erythroid differentiation in primary human CD34+ hematopoietic stem‐progenitor cells and human TF‐1 erythroleukemic cells by indirectly decreasing c‐Jun and phospho‐c‐Jun expression, which are associated with increased GATA1 expression.
MinJung Kim, Brittany Taylor, Shannon Bolten, Christian L. Eberly, Mahliya Abdurahman, T. Michael Creed, Acong Yang, Taylor L. Hatchet, Tristan Dyson, Shuo Gu, Curt I. Civin, Tami J. Kingsbury   +11 more
wiley   +1 more source

Short-term Electricity Load Forecasting Based on Improved Seagull Algorithm Optimized Gated Recurrent Unit Neural Network

EAI Endorsed Transactions on Energy Web
INTRODUCTION: The complexity of the power network, changes in weather conditions, diverse geographical locations, and holiday activities comprehensively affect the normal operation of power loads.
Mengfan Xu, Junyang Pan
doaj   +1 more source

FORECASTING SPOT ELECTRICITY PRICES WITH TIME SERIES MODELS [PDF]

In this paper we study simple time series models and assess their forecasting performance. In particular we calibrate ARMA and ARMAX (where the exogenous variable is the system load) processes.
Adam Misiorek, Rafal Weron
core  

Digital Twin for Power Load Forecasting

Abstract In this work, a novel Digital Twin model using attention mechanism integrated with LSTM to forecast the future power load of a specific user is developed. The power load prediction research is done in detail by taking into account important factors such as temperature, humidity, and the price of electricity.
Zhijun Wang, Riyu Cong, Ruihong Wang, Zhihui Wang   +3 more
openaire   +1 more source

Digital twins to accelerate target identification and drug development for immune‐mediated disorders

FEBS Open Bio, EarlyView.
Digital twins integrate patient‐derived molecular and clinical data into personalised computational models that simulate disease mechanisms. They enable rapid identification and validation of therapeutic targets, prediction of drug responses, and prioritisation of candidate interventions.
Anna Niarakis, Philippe Moingeon
wiley   +1 more source

Forecasting wholesale electricity prices: A review of time series models [PDF]

In this paper we assess the short-term forecasting power of different time series models in the electricity spot market. We calibrate autoregression (AR) models, including specifications with a fundamental (exogenous) variable - system load, to ...
Weron, Rafal
core   +1 more source

ASEAN grid flexibility: Preparedness for grid integration of renewable energy [PDF]

, 2019
In 2015, ASEAN established a goal of increasing its renewable energy share in its energy portfolio from approximately 13–23% by 2025. Renewable electricity, especially intermittent and variable sources, presents challenges for grid operators due to the ...
Huang, YW, Kammen, DM, Kittner, N
core   +1 more source

Systemic dysregulation of apolipoproteins in amyotrophic lateral sclerosis serum

FEBS Open Bio, EarlyView.
Amyotrophic lateral sclerosis (ALS) is a fatal disease that damages motor neurons. This study found that people with ALS show significant changes in blood fats and the proteins that carry them. Several apolipoproteins were higher, lipid balances were altered, and normal protein–lipid relationships were disrupted.
Finula I. Isik, Russell Pickford, Hannah C. Timmins, Olivier Piguet, Glenda M. Halliday, Matthew C. Kiernan, Woojin Scott Kim   +6 more
wiley   +1 more source

Power policy quantification based on PMC index model and its application in load forecasting

智能科学与技术学报, 2021
Policy has a direct impact on power system load.In order to fully explore the relationship between policy factors and load, and improve the accuracy of load forecasting, a quantitative method of power policy based on policy modeling consistency (PMC ...
Tianbin LIU, Hang ZHAO, Chen WANG, Hongxia YUAN, Yinya ZHANG, Chenxi HU, Jinxing LI, Tianlu GAO, Jun ZHANG   +8 more
doaj  

Identifying gene expression signatures for risk stratification of postoperative adjuvant chemotherapy in colorectal cancer

FEBS Open Bio, EarlyView.
A novel signature integrating genome‐wide analysis with clinical factors predicts recurrence in stage II colorectal cancer and enables a new risk stratification to guide postoperative adjuvant chemotherapy. Clinical risk stratification for postoperative recurrence in patients with pathological stage II (pStage II) colorectal cancer (CRC) is essential ...
Mayuko Otomo, Keisuke Okuno, Shuichi Watanabe, Sakiko Oba, Hiroyasu Kagawa, Masanori Tokunaga, Daisuke Ban, Yusuke Kinugasa   +7 more
wiley   +1 more source