Results 31 to 40 of about 7,885 (219)

Impact of Metastatic Patterns on Survival and Response to Therapy in Neuroblastoma

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background While the presence of metastases in neuroblastoma (NB) is a well‐established prognostic factor, the clinical significance of dissemination patterns and tumour burden and their impact on response and survival remains poorly understood.
Mariona Morell‐Daniel, Santiago Pérez‐Hoyos, Aroa Soriano, Ana Coma, Amalia Varo, Raquel Hladun, Gabriela Guillén, Soraya Mico, Marta Garrido, Lourdes Rubio, Alba Rubio‐San‐Simón, Ana Minguez, Ricardo López‐Almaraz, Laura Illade, Miguel F. Segura, Lucas Moreno   +15 more
wiley   +1 more source

Short-Term Wind Power Interval Forecasting Based on an EEMD-RT-RVM Model

Advances in Meteorology, 2016
Accurate short-term wind power forecasting is important for improving the security and economic success of power grids. Existing wind power forecasting methods are mostly types of deterministic point forecasting.
Haixiang Zang, Lei Fan, Mian Guo, Zhinong Wei, Guoqiang Sun, Li Zhang   +5 more
doaj   +1 more source

Investigating transcription factor dynamics in health and disease using FRAP

FEBS Letters, EarlyView.
FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj, Carolina Vazquez Garzon, Jose Joaquin Velasco, Janine N. Post   +3 more
wiley   +1 more source

SCADA Data Based Wind Power Interval Prediction Using LUBE-Based Deep Residual Networks

Frontiers in Energy Research, 2022
Wind is a pollution-free renewable energy source. It has attracted increasing attention owing to the decarbonization of electricity generation. However, owing to the dynamic nature of wind speed, ensuring a stable supply of wind energy to electric grid ...
Huajin Li
doaj   +1 more source

Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry

FEBS Letters, EarlyView.
EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri, Ayaka Nagasato‐Ichikawa, Keita Iida, Shuhei Kimura, Akira Imamoto, Mariko Okada   +5 more
wiley   +1 more source

The role of miR‐335‐5p in the redifferentiation of BRAF p.V600E thyroid cancers

Molecular Oncology, EarlyView.
The BRAF p.V600E mutation promotes thyroid cancer dedifferentiation and radioiodine resistance. Using a network approach, we identified miR‐335‐5p as a key regulator of BRAF‐mutated thyroid tumors. Restoring miR‐335‐5p increased thyroid‐specific gene expression and iodine uptake in cells and organoids.
Valeria Pecce, Simone Bini, Marialuisa Sponziello, Giorgio Grani, Giulia Fiscon, Paola Paci, Lorenzo Farina, Rosa Falcone, Valentina Maggisano, Sebastiano Filetti, Cosimo Durante, Antonella Verrienti   +11 more
wiley   +1 more source

Day‐ahead wind power ramp forecasting using an image‐based similarity search strategy

IET Renewable Power Generation, 2023
With the increase in penetration of wind generation on interconnected power systems, the importance of wind power ramp forecasting has continuously grown.
Bo Cao, Liuchen Chang, Xun Gong, Petrus Pijnenburg, Thomas Levy, Ryan Kilpatrick   +5 more
doaj   +1 more source

Transcriptional profiling of circulating extracellular vesicles from prebiopsy prostate cancer patients

Molecular Oncology, EarlyView.
RNA profiling of circulating extracellular vesicles (EVs) from blood samples of men undergoing prostate biopsy identifies transcripts associated with clinically significant prostate cancer. Integrative analysis with public tumor datasets links EV‐derived gene signatures to tumor stage and progression‐free survival, highlighting CASP3, XRCC2, and RIT1 ...
Stefan Werner, Pierre Tennstedt, Randi C. Pose, Christian Müller, Katharina Besler, Svenja Schneegans, Malik Alawi, Marie C. Roesch, Sven Peine, Desiree Bonci, Joanna Budna‐Tukan, Evi Lianidou, Catherine Alix‐Panabières, Derya Tilki, Klaus Pantel   +14 more
wiley   +1 more source

Comparative study of reformed neural network based short‐term wind power forecasting models

IET Renewable Power Generation, 2022
Short‐term prediction of wind power plays a vital role in wind power application. In order to improve the accuracy of wind power forecasting, this paper investigates neural network combined forecasting models to forecast the wind power, the data of a ...
Zuoxia Xing, Boyang Qu, Yang Liu, Zhe Chen   +3 more
doaj   +1 more source

Prediction Error-Based Power Forecasting of Wind Energy System Using Hybrid WT–ROPSO–NARMAX Model

Energies, 2023
The volatility and intermittency of wind energy result in highly unpredictable wind power output, which poses challenges to the stability of the intact power system when integrating large-scale wind power.
Aamer A. Shah, Almani A. Aftab, Xueshan Han, Mazhar Hussain Baloch, Mohamed Shaik Honnurvali, Sohaib Tahir Chauhdary   +5 more
doaj   +1 more source