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Estimations of giant dipole resonance parameters using artificial neural network
(Applied Radiation and Isotopes, 2021)
In this study; Giant Dipole Resonance (GDR) parameters of the spherical nucleus have been estimated by using artificial neural network (ANN) algorithms. The ANN training has been carried out with the Levenberg–Marquardt ...
RBPmotif: a web server for the discovery of sequence and structure preferences of RNA-binding proteins
(Nucleic acids research, 2013)
RBPmotif web server (http://www.rnamotif.org) implements tools to identify binding preferences of RNA-binding proteins (RBPs). Given a set of sequences that are known to be bound and unbound by the RBP of interest, RBPmotif ...
Multigene genetic programming for sediment transport modeling in sewers for conditions of non-deposition with a bed deposit
(Elsevier, 2018)
It is known that construction of large sewers based on consideration of flow with non-deposition without a bed deposit is not economical. Sewer design based on consideration of flow with non-deposition with a bed deposit ...
Predicting clinical outcomes in neuroblastoma with genomic data integration
(Biology Direct, 2018)
Background: Neuroblastoma is a heterogeneous disease with diverse clinical outcomes. Current risk group models require improvement as patients within the same risk group can still show variable prognosis. Recently collected ...
Comparison of treatment effects of different maxillary protraction methods in skeletal class III patients
(Orthodontics & Craniofacial Research, 2020)
Objective: The aim of this study was to compare treatment outcomes with different maxillary protraction methods in patients with skeletal Class III malocclusion resulting from maxillary retrognathia. Setting and Sample ...
Modeling gene regulation in liver hepatocellular carcinoma with random forests
(BioMed Research International, 2016)
Liver hepatocellular carcinoma (HCC) remains a leading cause of cancer-related death. Poor understanding of the mechanisms underlying HCC prevents early detection and leads to high mortality. We developed a random forest ...
A translational repression complex in developing mammalian neural stem cells that regulates neuronal specification
(Neuron, 2018)
The mechanisms instructing genesis of neuronal sub-types from mammalian neural precursors are not well understood. To address this issue, we have characterized the transcriptional landscape of radial glial precursors (RPs) ...
Estimation of (n,p) reaction cross sections at 14.5 ∓ 0.5 MeV neutron energy by using artificial neural network
(Applied Radiation and Isotopes, 2021)
The aim of this study is to develop an accurate artificial neural network algorithm for the cross-section of (n,p) reactions at 14.5 ∓0.5 MeV neutron energy which is important to developing materials for fusion reactor ...
Lymphedema information and prevention practices of women after breast cancer surgery
(Florence Nightingale Journal of Nursing, 2020)
AIM: This study was carried out to determine women’s knowledge about lymphedema precautions and their practice status. The sample of this descriptive and correlationally designed study included 107 women who underwent ...
Geographic information system-based investment system for photovoltaic power plants location analysis in Turkey
(Springer Nature, 2020)
The motivation of this research, development, demonstration, deployment, and diffusion (RD3 &D) study is to present the progress of designing the GIS-based location selection module of autonomous investment decision support ...
