Ara
Toplam kayıt 60, listelenen: 51-60
Bioconjugated β-cyclodextrin-perfluorohexane nanocone clusters as functional agents for nanoparticle mediated histotripsy
(İstanbul Medipol Üniversitesi, Fen Bilimleri Enstitüsü, 2022)
Nanocone clusters (NCC) as new generation agent of nanoparticle mediated histotripsy (NMH) successfully addressed all the limitations of previously designed nanodroplets (NDs). NCC can be obtained by simply mixing of ...
A new rodent behavioral paradigm for studying closed-loop cursor control
(İstanbul Medipol Üniversitesi, Fen Bilimleri Enstitüsü, 2022)
Control of cursor on a PC monitor using a joystick is a standard paradigm to study the neural mechanisms involved in motor skill learning in human and non-human primates. This paradigm is also commonly used in non-human ...
Deep learning model optimization for real-time smallobject detection on embedded gpus
(İstanbul Medipol Üniversitesi, Fen Bilimleri Enstitüsü, 2021)
Camera mounted drones are mostly used in surveillance applications. Most of these surveillance systems track objects in two steps; firstly, they detect and recognize targets in a scene and then track those targets in the ...
Detection of multistage Alzheimer from 4D FMRI data using deep learning
(İstanbul Medipol Üniversitesi, Fen Bilimleri Enstitüsü, 2022)
The application of machine learning techniques, which significantly improve the recognition of patterns in biomedical data, such as drug delivery systems and medical imaging, has emerged as one of the most important methods ...
Public perception towards children's COVID-19 vaccination with natural language processing
(İstanbul Medipol Üniversitesi, Fen Bilimleri Enstitüsü, 2022)
At the end of 2019, Coronavirus disease manifested itself in Wuhan, China, turned into an epidemic, became a global problem, and caused many deaths. As a result of the strategies developed with the spread of the epidemic, ...
Natural language processing analysis of comments about education on twitter during the COVID-19
(İstanbul Medipol Üniversitesi, Fen Bilimleri Enstitüsü, 2022)
The emergence of COVID-19 has caused people to be unable to live their daily activities, travel, work and social interactions. Like many other sectors, students, and educators around the world face serious problems in the ...
Investigation of anticancer activities of potentially active small molecule drug candidate molecules
(İstanbul Medipol Üniversitesi, Sağlık Bilimleri Enstitüsü, 2022)
Cancer is defined as the uncontrolled division and proliferation of cells in any part of the body. The most frequently seen cancers are lung, breast, and prostate cancer. Small molecules can be used for treatment of cancer. ...
Development of anti-cancer nanoformulations by incorporation of water-insoluble natural bioactive agents into lipid-based drug delivery systems
(İstanbul Medipol Üniversitesi, Fen Bilimleri Enstitüsü, 2022)
Broccoli is a well-known and highly consumed vegetable around the world, it falls into the cruciferous category, which is proven to be effective against breast, skin, and prostate cancers. This anti-cancer property stems ...
Metaproteomic analysis of saliva samples from parkinson's disease patients with cognitive impairments
(İstanbul Medipol Üniversitesi, Sağlık Bilimleri Enstitüsü, 2022)
Parkinson's Disease (PD) is a NeuroDegenerative Disease (NDD) that includes impairment and death of dopaminergic neurons at the brain and alpha-synuclein (α-syn) protein accumulation (Lewy bodies). PD symptoms include both ...
Plasmonic biosensor design and alternative plasmonic materials
(İstanbul Medipol Üniversitesi, Fen Bilimleri Enstitüsü, 2022)
Light-matter interaction is the one of the most important and studied topic in time dependent quantum mechanic especially for description of spectroscopy. Light matter interaction can be described in two ways. First one ...