Results 61 to 70 of about 14,302 (309)

TRAIL‐PEG‐Apt‐PLGA nanosystem as an aptamer‐targeted drug delivery system potential for triple‐negative breast cancer therapy using in vivo mouse model

Molecular Oncology, EarlyView.
Aptamers are used both therapeutically and as targeting agents in cancer treatment. We developed an aptamer‐targeted PLGA–TRAIL nanosystem that exhibited superior therapeutic efficacy in NOD/SCID breast cancer models. This nanosystem represents a novel biotechnological drug candidate for suppressing resistance development in breast cancer.
Gulen Melike Demirbolat, Aslihan Kucuk, Omer Erdogan, Samed Ozer, Bensu Kozan, Tugba Cuceli, Erkan Gumus, Evrim Cevik, Ozge Cevik   +8 more
wiley   +1 more source

Ensemble Recurrent Neural Network Based Probabilistic Wind Speed Forecasting Approach

Energies, 2018
Wind energy is a commonly utilized renewable energy source, due to its merits of extensive distribution and rich reserves. However, as wind speed fluctuates violently and uncertainly at all times, wind power integration may affect the security and ...
Lilin Cheng, Haixiang Zang, Tao Ding, Rong Sun, Miaomiao Wang, Zhinong Wei, Guoqiang Sun   +6 more
doaj   +1 more source

Wind Speed Forecasting in China: A Review [PDF]

Science Journal of Energy Engineering, 2015
China’s wind power has developed rapidly in the past few years, the large-scale penetration of which will bring big influence on power systems. The wind speed forecasting research is quite important because it can alleviate the negative impacts. This paper reviews the current wind speed forecasting techniques in China.
openaire   +1 more source

Sub-hourly forecasting of wind speed and wind energy

Renewable Energy, 2020
Abstract The need to have access to accurate short term forecasts is essential in order to anticipate the energy production from intermittent renewable sources, notably wind energy. For hourly and sub-hourly forecasts, benchmarks are based on statistical approaches such as time series based methods or neural networks, which are always tested against ...
Dupré, Aurore, Drobinski, Philippe, Alonzo, Bastien, Badosa, Jordi, Briard, Christian, Plougonven, Riwal   +5 more
openaire   +3 more sources

Soft Computing Methods with Phase Space Reconstruction for Wind Speed Forecasting—A Performance Comparison [PDF]

, 2019
This article presents a comparison of wind speed forecasting techniques, starting with the Auto-regressive Integrated Moving Average, followed by Artificial Intelligence-based techniques.
Juan. J. Flores, HECTOR RODRIGUEZ RANGEL, RODRIGO LOPEZ FARIAS, Juan Flores, Mario Graff, Héctor Rodríguez, Rodrigo Lopez-Farias, José R. Cedeño González, MARIO GRAFF GUERRERO, José Cedeño, Felix Calderon   +10 more
core   +1 more source

Quaternion convolutional long short-term memory neural model with an adaptive decomposition method for wind speed forecasting. North aegean islands case studies

, 2022
An accurate prediction of short-term and long-term wind speed is necessary in order to integrate wind energy into large-scale grid power. However, wind speed presents diverse and complex seasonal and stochastic characteristics that impose challenges on ...
Garcia, Davide Astiaso, Nezhad, Meysam Majidi, Piras, G., Majidi Nezhad, M., Neshat, Mehdi, Neshat, M., Piras, Giuseppe, Astiaso Garcia, D., Mirjalili, Seyedali, Mirjalili, S.   +9 more
core   +1 more source

Interaction of HS1BP3 with cortactin modulates TKS5 localisation, cell secretion and cancer malignancy

Molecular Oncology, EarlyView.
Here, we demonstrate that HS1BP3 interacts with Cortactin through a proline‐rich region (PRR3.1) and show that this interaction, and HS1BP3 itself, promote cancer cell proliferation and invasion. Inhibition of this interaction leads to build‐up of TKS5 in multivesicular endosomes and altered secretion of CD63 and CD9, providing an explanation for the ...
Arja Arnesen Løchen, Kristiane Søreng, Chiara Veroni, Laura Trachsel‐Moncho, Nagham Asp, Robin Gaupset, Lars Gustav Lyckander, Helene Knævelsrud, Lars Eftang, Anne Simonsen   +9 more
wiley   +1 more source

A Short-Term Wind Speed Forecasting Model by Using Artificial Neural Networks with Stochastic Optimization for Renewable Energy Systems

Energies, 2018
To efficiently manage unstable wind power generation, precise short-term wind speed forecasting is critical. To overcome the challenges in wind speed forecasting, this paper proposes a new convolutional neural network algorithm for short-term forecasting.
Chiou-Jye Huang, Ping-Huan Kuo
doaj   +1 more source

Improving accuracy of wind speed forecasting

Scilight, 2022
Technique combines large-scale meteorological data with input from multiple modeling sites.
openaire   +1 more source

Interpreting the effects of DNA polymerase variants at the structural level

Molecular Oncology, EarlyView.
Using MAVISp and molecular dynamics simulations, we analyzed over 60 000 missense variants in POLE and POLD1 from ClinVar, COSMIC, cBioPortal, and saturation mutagenesis. Identified mechanistic indicators, including stability, binding, and long‐range, enable structural interpretation, providing ACMG‐like evidence for possible reclassification of VUS ...
Matteo Arnaudi, Karolina Krzesińska, Ludovica Beltrame, Pablo Sánchez‐Izquierdo Besora, Matteo Tiberti, Mef Nilbert, Anna Rohlin, Elena Papaleo   +7 more
wiley   +1 more source