İndekslendiği Kaynaklar "Web of Science - Scopus - PubMed" Mühendislik ve Doğa Bilimleri Fakültesi İçin Listeleme
Toplam kayıt 64, listelenen: 1-20
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Amperometric galectin-3 immunosensor-based gold nanoparticle-functionalized graphitic carbon nitride nanosheets and core-shell Ti-MOF@COFs composites
(Royal Society of Chemistry, 2020)Antigen galectin-3 (GL-3), a member of beta-galactoside proteins indicates cardiac fibrosis and is a significant biomarker for monitoring heart failure risk and death risk. In this study, a novel sensitive amperometric ... -
Analysis of free-fall bullet injury potential in the cranium via finite elements method
(Elsevier, 2023)The aim of this study is to analyze the injury potential of the free-falling bullet in the cranium, which is known as a tired bullet in the public, with the finite element method (FEM) In the study, as penetrant 9 x 19 mm ... -
Analysis of functional brain connections for positive-negative emotions using phase locking value
(Springer, 2017)In this study, we investigate the brain networks during positive and negative emotions for different types of stimulus (audio only, video only and audio + video) in , and bands in terms of phase locking value, a nonlinear ... -
An Association Between the Intestinal Permeability Biomarker Zonulin and the Development of Diabetic Retinopathy in Type II Diabetes Mellitus
(Turkish Ophthalmology Society, 2023)Objectives: Increased intestinal permeability (IP) and gut microbiota dysbiosis have been implicated in low-grade chronic inflammation, which is an important factor in the pathogenesis of diabetic retinopathy (DR). This ... -
Boron stress signal is transmitted through the TOR pathway
(Elsevier, 2023)Although boron is an essential element for many organisms, an excess amount of it can cause toxicity, and the mechanism behind this toxicity is not yet fully understood. The Gcn4 transcription factor plays a crucial role ... -
The brominated flame retardants TBECH and DPTE alter prostate growth, histology and gene expression patterns in the mouse
(Elsevier, 2021)The brominated flame retardants (BFRs), 1,2-dibromo-4-(1,2 dibromoethyl)cyclohexane (TBECH) and 2,3-dibromopropyl-2,4,6-tribromophenyl ether (DPTE) bind to the androgen receptor (AR). in vitro bioassays have shown that ... -
Causality Analysis for COVID-19 among Countries Using Effective Transfer Entropy
(MDPI, 2022)In this study, causalities of COVID-19 across a group of seventy countries are analyzed with effective transfer entropy. To reveal the causalities, a weighted directed network is constructed. In this network, the weights ... -
Characterization of thermoluminescence kinetic parameters of beta irradiated B doped Ca5(PO4)3OH powder obtained from eggshell
(Elsevier, 2021)In this study, we have synthesized B doped Ca5(PO4)3OH (HAP) by a sonication chemical method. The thermoluminescence (TL) properties of the family of synthesized samples (B doped Ca5(PO4)3OH (HAP) were investigated using ... -
Circular eco-industrial park design inspired by nature: An integrated non-linear optimization, location, and food web analysis
(Academic Press, 2020)Industrial symbiosis (IS) is one of the alternative ways of using natural resources in industrial processes. Eco-industrial parks (EIPs), as commonly known areas of IS practices, increase resource efficacy and reduce ... -
Classifying dysmorphic syndromes by using artificial neural network based hierarchical decision tree
(Springer, 2018)Dysmorphic syndromes have different facial malformations. These malformations are significant to an early diagnosis of dysmorphic syndromes and contain distinctive information for face recognition. In this study we define ... -
A comparative study on daily evapotranspiration estimation by using various artificial intelligence techniques and traditional regression calculations
(American Institute of Mathematical Sciences, 2023)Evapotranspiration is an important parameter to be considered in hydrology. In the design of water structures, accurate estimation of the amount of evapotranspiration allows for safer designs. Thus, maximum efficiency can ... -
A comprehensive analysis of weighting and multicriteria methods in the context of sustainable energy
(Springer, 2020)This study presents a comprehensive and comparative analysis of weighting and multiple attribute decision-making (MADM) methods in the context of sustainable energy. As the selection problems of energy involve various ... -
A comprehensive analysis of weighting and multicriteria methods in the context of sustainable energy
(Springer, 2021)This study presents a comprehensive and comparative analysis of weighting and multiple attribute decision-making (MADM) methods in the context of sustainable energy. As the selection problems of energy involve various ... -
CROssBAR: comprehensive resource of biomedical relations with knowledge graph representations
(Oxford Academic, 2021)Systemic analysis of available large-scale biological/biomedical data is critical for studying biological mechanisms, and developing novel and effective treatment approaches against diseases. However, different layers of ... -
Deep-learning-based precise characterization of microwave transistors using fully-automated regression surrogates
(Nature Research, 2023)Accurate models of scattering and noise parameters of transistors are instrumental in facilitating design procedures of microwave devices such as low-noise amplifiers. Yet, data-driven modeling of transistors is a challenging ... -
DEEPred: Automated Protein Function Prediction with Multi-task Feed-forward Deep Neural Networks
(Nature Publishing Group, 2019)Automated protein function prediction is critical for the annotation of uncharacterized protein sequences, where accurate prediction methods are still required. Recently, deep learning based methods have outperformed ... -
DEEPScreen: high performance drug-target interaction prediction with convolutional neural networks using 2-D structural compound representations
(Royal Soc Chemistry, 2020)The identification of physical interactions between drug candidate compounds and target biomolecules is an important process in drug discovery. Since conventional screening procedures are expensive and time consuming, ... -
Development of cardiac troponin-I biosensor based on boron nitride quantum dots including molecularly imprinted polymer
(Elsevier, 2019)The cardiac Troponin-I (cTnI) is one of the subunits of cardiac troponin complexes and a pivotal biochemical marker of acute myocardial infarction (AMI). Due to its myocardial specificity, cTnI is widely used for the ... -
Differential convolutional neural network
(Elsevier, 2019)Convolutional neural networks with strong representation ability of deep structures have ever increasing popularity in many research areas. The main difference of Convolutional Neural Networks with respect to existing ... -
Drug-resistant Staphylococcus aureus bacteria detection by combining surface-enhanced Raman spectroscopy (SERS) and deep learning techniques
(Nature Research, 2021)Over the past year, the world's attention has focused on combating COVID-19 disease, but the other threat waiting at the door-antimicrobial resistance should not be forgotten. Although making the diagnosis rapidly and ...