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Now showing items 958-977 of 2094
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Hybrid Power System for Mobile Robotics
(IEEE345 E 47TH ST, NEW YORK, NY 10017 USA, 2016)The power source is a design characteristic for a mobile robot in which the energy source used must provide enough power for a desired period of time depending on the specific task of a robot. Batteries are the most common ... -
A hybridized local and charge transfer excited state for solution-processed non-doped green electroluminescence based on oligo(p-phenyleneethynylene)
(ROYAL SOC CHEMISTRY, THOMAS GRAHAM HOUSE, SCIENCE PARK, MILTON RD, CAMBRIDGE CB4 0WF, CAMBS, ENGLAND, 2020)We herein report a new highly efficient green emissive hot-exciton molecule, 1,4-bis((4'-diphenylamino3-cyano-[1,1'-biphenyl]-4-yl)ethynyl)-2,5-bis(2-ethylhexyloxy)benzene (2EHO-TPA-CNPE) that consists of an extended ... -
Hydro-elastic analysis of standing submerged structures under seismic excitations with SPH-FEM approach
(LATIN AMER J SOLIDS STRUCTURES, UNIV SAO PAULO, GROUP SOLID MECHANICS & STRUCTURAL IMPACT, SAO PAULO, 05508-900, BRAZIL, 2020)In this paper, a fully coupled fluid structure interaction (FSI) method is used to investigate the hydro-elastic response of a fully submerged standing structure under seismic excitations. Two different domains (solid and ... -
Hydrogenated amorphous boron nitride: A first principles study
(Elsevier, 2018)The influence of hydrogenation on the atomic structure and electronic properties of amorphous boron nitride (?-BN) is investigated by using an ab-initio molecular dynamics technique. The structural evaluation of ?-BN and ... -
HYDROMETALLURGICAL PROCESSING OF NICKEL LATERITES- A BRIEF OVERVIEW ON THE USE OF SOLVENT EXTRACTION AND NICKEL/COBALT PROJECT FOR THE SEPARATION AND PURIFICATION OF NICKEL AND COBALT
(TMMOB Maden Mühendisleri Odası/The Publication of the Chamber of Mining Engineer of Turkey, 2019)In this study, a brief overview of the solvent extraction (SX) application for the separationand purification of nickel and cobalt in hydrometallurgical processing of laterite nickel ores ispresented. This paper consists ... -
Hydroponic Agriculture with Machine Learning and Deep Learning Methods
(Gazi Mühendislik, 2023)In the face of the rapidly increasing population of our world today, researchers have turned to studies that use existing resources more effectively and efficiently in addition to searching for new resources in order to ... -
The Identification of Discriminative Single Nucleotide Polymorphism Sets for the Classification of Behcet's Disease
(IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2018)Behcet's disease is a long-term multisystem inflammatory disorder, characterized by recurrent attacks affecting several organs. As the genotyping individuals get cheaper and easier following the developments in genomic ... -
Identification of non-proportional structural damping using experimental modal analysis data
(JVE INT LTD, GELIU RATAS 15 A, KAUNAS, LT-50282, LITHUANIA, 2020)A verified computational model of a complex structure is crucial for reliable vibro-acoustic simulations. Mass and stiffness matrices of such a computational model may be constructed correctly, provided all the design ... -
Identification of possible pathogenic pathways in Behcet's disease using genome-wide association study data from two different populations
(NATURE PUBLISHING GROUP, MACMILLAN BUILDING, 4 CRINAN ST, LONDON N1 9XW, ENGLAND, 2015)Behcet's disease (BD) is a multi-system inflammatory disorder of unknown etiology. Two recent genome-wide association studies (GWASs) of BD confirmed a strong association with the MHC class I region and identified two ... -
Identification of Shared Pathways Among Immune Related Diseases Utilizing Active Subnetworks
(IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2020)Different, but related diseases often contain shared symptoms indicating the presence of possible overlaps in underlying pathogenic mechanisms. The identification of the shared pathways and related factors across these ... -
Identification of single domain antibodies against SARS-CoV-2 omicron variant via protein-protein docking approaches
(Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2022)Omicron, became the dominant variant in 2022 in terms of spreading rate, has managed to evade from an immune system of patients due to its unique mutations. Single domain antibodies (sdAb) which are functionally important ... -
IDENTIFICATION OF SURFACE PROTEOME OF B CELL ACUTE LYMPHOBLASTIC LEUKEMIA CELL LINE
(Abdullah Gül Üniversitesi / Fen Bilimleri Enstitüsü / Biyomühendislik Ana Bilim Dalı, 2022)B-cell acute lymphoblastic leukemia is characterized by over and uncontrolled expression of B lymphocytes. B-ALL may occur as a result of aberrant cytosolic signal transduction and molecular abnormalities such as gene ... -
Identification of the drivers of and barriers to COVID-19 vaccine intake behavior using a mixed-method design: implications from a developing country
(ELSEVIER ESPANA, 2023)Various COVID-19 vaccines are available across the world. However, short phases of clinical trials for emer-gency use and myriad rumors about and misinformation on vaccines spread through different media sources, induce ... -
Identify Commonly Affected Pathways in Psychiatric Diseases
(IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2018)Genome-wide association studies (GWAS) are an extraordinary source of information when it comes to revealing the common variations of human complex diseases. Until now, the large amount of data generated from these studies ... -
Identifying Taxonomic Biomarkers of Colorectal Cancer in Human Intestinal Microbiota Using Multiple Feature Selection Methods
(Institute of Electrical and Electronics Engineers Inc., 2022)A variety of bacterial species called gut microbiota work together to maintain a steady intestinal environment. The gastrointestinal tract contains tremendous amount of different species including archaea, bacteria, fungi, ... -
IGPRED-MultiTask: A Deep Learning Model to Predict Protein Secondary Structure, Torsion Angles and Solvent Accessibility
(IEEE COMPUTER SOC, 2023)Protein secondary structure, solvent accessibility and torsion angle predictions are preliminary steps to predict 3D structure of a protein. Deep learning approaches have achieved significant improvements in predicting ... -
IGPRED: Combination of convolutional neural and graph convolutional networks for protein secondary structure prediction
(WILEY111 RIVER ST, HOBOKEN 07030-5774, NJ, 2021)There is a close relationship between the tertiary structure and the function of a protein. One of the important steps to determine the tertiary structure is protein secondary structure prediction (PSSP). For this reason, ... -
ILGIN LİNYİT İŞLETMELERİ GÖLETLERİNDE ASİT MADEN DRENAJI VE REHABİLİTASYONU
(Niğde Ömer Halisdemir Üniversitesi, 2016)Maden yataklarının aranması, üretimi ve zenginleştirilmesi süreçlerinde uygulanan işlemler; hava, toprak, sukaynaklarını, dolayısıyla çevreyi ve çevrede yaşayan canlıları etkilemektedir. Genel olarak kömür açık ... -
Image Processing and Cell Phone Microscopy to Analyze the Immunomagnetic Beads on Micro-Contact Printed Gratings
(MDPI AG, ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND, 2016)In this paper we report an ultra-low-cost spherical ball lens based cell phone microscopy and image processing algorithms to analyze the amount of immunomagnetic beads on micro-contact printed gratings. The spherical ball ... -
Image processing based analysis and quantification of micro biomaterials and cells for biochip
(Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2023)Quantification of tumor cells is essential for early cancer detection and progression tracking. Multiple techniques have been devised to detect tumor cells. In addition to conventional laboratory instruments, several ...
