Başlık için Makale Koleksiyonu listeleme
Toplam kayıt 79, listelenen: 51-70
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Mechanistic insight into impact of phosphorylation on the enzymatic steps of farnesyltransferase
(Wiley, 2022)Farnesyltransferase (FTase) is a heterodimeric enzyme, which catalyzes covalent attachment of the farnesyl group to target proteins, thus coordinating their trafficking in the cell. FTase has been demonstrated to be highly ... -
Mechanistic insight into the impact of a bivalent ligand on the structure and dynamics of a GPCR oligomer
(Elsevier B.V., 2022)Development of effective bivalent ligands has become the focus of intensive research toward modulation of G protein-coupled receptor (GPCR) oligomers, particularly in the field of GPCR pharmacology. Experimental studies ... -
Modeling traders' behavior with deep learning and machine learning methods: Evidence from BIST 100 index
(Wiley-Hindawi, 2020)Although the vast majority of fundamental analysts believe that technical analysts' estimates and technical indicators used in these analyses are unresponsive, recent research has revealed that both professionals and ... -
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 ... -
Mood detection from physical and neurophysical data using deep learning models
(Wiley, 2019)Nowadays, smart devices as a part of daily life collect data about their users with the help of sensors placed on them. Sensor data are usually physical data but mobile applications collect more than physical data like ... -
Multi-hypothesis contextual modeling for semantic segmentation
(Elsevier Science Bv, 2019)Semantic segmentation (i.e. image parsing) aims to annotate each image pixel with its corresponding semantic class label. Spatially consistent labeling of the image requires an accurate description and modeling of the local ... -
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 ... -
A new approach to determine traffic peak periods to utilize in transportation planning
(Springer Heidelberg, 2021)Detection of the traffic peak periods for a city has many advantages not only in terms of the traffic operation but also in urban transportation planning. In the planning, future travel demand is analyzed for peak and ... -
A new ratio-metric pH probe, "ThiAKS Green" for live-cell pH measurements
(Springer, 2023)Deviation of the H+ concentration from optimum values within the organelles is closely associated with irregular cellular functions that cause the onset of various diseases. Therefore, determining subcellular pH values in ... -
On globalization and business competitiveness: A panel data country classification
(Ascociacion Internacional de Economia Aplicada, 2021)Industrial competitiveness could be achieved through policies reforms favoring globalization process. The reality, however, is two-folded. Initially, government policies restrict globalization and impose barriers to trade, ... -
Orbital stability of periodic standing waves for the cubic fractional nonlinear Schrödinger equation
(Academic Press Inc., 2022)In this paper, the existence and orbital stability of the periodic standing wave solutions for the nonlinear fractional Schrödinger (fNLS) equation with cubic nonlinearity is studied. The existence is determined by using ... -
Perturb-Scan-Pull: A novel method facilitating conformational transitions in proteins
(American Chemical Society, 2020)Conformational transitions in proteins facilitate precise physiological functions. Therefor; it is crucial to understand the mechanisms underlying these processes to modulate protein function. Yet, studying structural and ... -
Perturbation-response scanning reveals key residues for allosteric control in Hsp70
(American Chemical Society, 2017)Hsp70 molecular chaperones play-an important role in maintaining-cellular homeostasis, and are implicated in a wide array of cellular processes, including protein recovery from aggregates, cross-membrane protein translocation, ... -
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 ... -
Predicting path loss distribution of an area from satellite ımages using deep learning
(IEEE - Institute of Electrical and Electronics Engineers, Inc., 2020)Path loss prediction is essential for network planning in any wireless communication system. For cellular networks, it is usually achieved through extensive received signal power measurements in the target area. When the ... -
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 ... -
Proposing a CNN method for primary and permanent tooth detection and enumeration on pediatric dental radiographs
(NLM (Medline), 2022)OBJECTIVE: In this paper, we aimed to evaluate the performance of a deep learning system for automated tooth detection and numbering on pediatric panoramic radiographs. STUDY DESIGN: YOLO V4, a CNN (Convolutional Neural ... -
Regression of large-scale path loss parameters using deep neural networks
(IEEE-Institute of Electrical and Electronics Engineers Inc., 2022)Path loss exponent and shadowing factor are among important wireless channel parameters. These parameters can be estimated using field measurements or ray-tracing simulations, which are costly and time-consuming. In this ... -
The role of machine learning in identifying students at-risk and minimizing failure
(IEEE-Institute of Electrical and Electronics Engineers Inc., 2023)Education is very important for students' future success. The performance of students can be supported by the extra assignments and projects given by the instructors for students with low performance. However, a major ... -
RSS-based wireless LAN indoor localization and tracking using deep architectures
(MDPI, 2022)Wireless Local Area Network (WLAN) positioning is a challenging task indoors due to environmental constraints and the unpredictable behavior of signal propagation, even at a fixed location. The aim of this work is to develop ...