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Toplam kayıt 140, listelenen: 41-50
Predicting the effects of repetitive transcranial magnetic stimulation on cognitive functions in patients with alzheimer's disease by automated EEG analysis
(Frontiers Media SA, 2022)
Alzheimer's disease (AD) is a progressive, neurodegenerative brain disorder that generally affects the elderly. Today, after the limited benefit of the pharmacological treatment strategies, numerous noninvasive brain ...
Moderation of services’ EKC through transportation competitiveness: PQR model in global prospective
(MDPI, 2023)
The continuously increasing GHG emissions have created environmental pollution and several challenges to ecosystems and biodiversity. The challenges of climate change are multipronged, resulting in melting glaciers, flash ...
A multistep deep learning framework for the automated detection and segmentation of astrocytes in fuorescent images of brain tissue
(Nature Publishing Group, 2020)
While astrocytes have been traditionally described as passive supportive cells, studies during the last decade have shown they are active players in many aspects of CNS physiology and function both in normal and disease ...
In silico analysis of a highly mutated gene in cancer provides insight into abnormal mRNA splicing: Splicing factor 3B subunit 1k700e mutant
(MDPI AG, 2020)
Cancer is the second leading cause of death worldwide. The etiology of the disease has remained elusive, but mutations causing aberrant RNA splicing have been considered one of the significant factors in various cancer ...
Analysis and prediction in sparse and high dimensional text data: The case of Dow Jones stock market
(Elsevier B.V., 2020)
In this research, we proposed a text analysis system to predict stock market movements using news and social media data. It is a scalable prediction system for sparse and high dimensional feature sets. Using the developed ...
Data on cut-edge for spatial clustering based on proximity graphs
(Elsevier, 2020)
Cluster analysis plays a significant role regarding automating such a knowledge discovery process in spatial data mining. A good clustering algorithm supports two essential conditions, namely high intra-cluster similarity ...
PL-GAN: Path loss prediction using generative adversarial networks
(IEEE-Institute of Electrical and Electronics Engineers Inc., 2022)
Accurate prediction of path loss is essential for the design and optimization of wireless communication networks. Existing path loss prediction methods typically suffer from the trade-off between accuracy and computational ...
Identifying side effects of commonly used drugs in the treatment of Covid 19
(Nature Research, 2020)
To increase the success in Covid 19 treatment, many drug suggestions are presented, and some clinical studies are shared in the literature. There have been some attempts to use some of these drugs in combination. However, ...
Understanding the differential selectivity of arrestins toward the phosphorylation state of the receptor
(American Chemical Society, 2016)
Proteins in the arrestin family exhibit a conserved structural fold that nevertheless allows for significant differences in their selectivity for G-protein coupled receptors (GPCRs) and their phosphorylation states. To ...
Integrated framework for criminal network extraction from Web
(SAGE Publications, 2021)
Extracting criminals' information and discovering their network are techniques that investigators often rely on to get extra information about criminal incidents and potential criminals. With the recent advances of the ...