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Deep Conditional Graph Generation for Network Completion
, Ph.D. Dissertation Sharif University of Technology ; Rabiee, Hamid Reza (Supervisor) ; Soleymani Baghshah, Mahdieh (Supervisor)
Abstract
Representing relational information with graph data structures is ubiquitous in many domains such as social networks, knowledge bases, chemical, and biological applications. Compared with the advances in deep generative models for image and text, deep generative approaches for generating graph-structured data are in their early stages. On the other hand, among all the methods for deep graph generation, the problem of conditional graph generation has been vastly unexplored.
In many scenarios, the goal is to generate graphs with some desired properties. One of these scenarios is when we need to generate graphs that contain some specific substructures. One of the applications of this kind...
In many scenarios, the goal is to generate graphs with some desired properties. One of these scenarios is when we need to generate graphs that contain some specific substructures. One of the applications of this kind...
Thermoplastic starch/ethylene vinyl alcohol/forsterite nanocomposite as a candidate material for bone tissue engineering
, Article Materials Science and Engineering C ; Volume 69 , 2016 , Pages 301-310 ; 09284931 (ISSN) ; Bagheri, R ; Eslami, M ; Amiri, M ; Shokrgozar, M. A ; Mehrjoo, M ; Sharif University of Technology
Elsevier Ltd
2016
Abstract
Recently, biodegradable polymers such as starch based blends have been well renowned in the biomedical field. Studies have considered them suitable for bone scaffolds, bone cements, tissue engineering scaffolds, drug delivery systems and hydrogels. The aim of this study was to synthesize nanocomposite biomaterial consisting a blend of thermoplastic starch and ethylene vinyl alcohol as the polymer matrix, and nano-structured forsterite as the ceramic reinforcing phase for bone tissue engineering applications. Furthermore, vitamin E was applied as a thermal stabilizer during melt compounding. Extrusion and injection molding were incorporated for melt blending and shaping of samples,...
Using Deep generative Models for Event Sequence Generation in Recommender Systems
, M.Sc. Thesis Sharif University of Technology ; Soleimani, Mahdieh (Supervisor) ; Rabeei, Hamid Reza (Supervisor)
Abstract
In a variety of applications, we deal with event sequences which we require to model the time of those. Event sequences modelling is vital in a variety of applications such as electronic commerce, social networks, health information; For instance, in the context of social networks entrance time, the act of like or comment can be regarded as an event sequence. Point processes are the framework for modelling event sequences, in which designer use prior knowledge and different assumptions (which is not necessarily true) to set the functional form of intensity function. That functional form may not be sufficient enough to model event sequences. In this project, we have used a deep nonlinear...
Alzheimer’s Disease Diagnosis using Description Test
, M.Sc. Thesis Sharif University of Technology ; Soleymani Baghshah, Mahdieh (Supervisor) ; Karbalaei Aghajan, Hamid (Supervisor)
Abstract
There are currently about 50 million people with Alzheimer's disease in the world, and this number is about 700 thousand in Iran. The symptoms of the disease include decreased awareness, disinterest in unfamiliar subjects, increased distraction, speech problems, and etc. which gradually leads to an absolute inability to perform daily activities and completely mute. The disease belongs to the category of neurological disorders and is the most common type of dementia for which no treatment has been offered so far. However, if the disease is diagnosed in its early stage, a series of pharmacological and behavioral therapy approaches can be prescribed to reduce the pace or progression of the...
Designing an Intelligent System to Analyze Electrograms of Induced Pluripotent Stem Cell-Derived Cardiomyocytes
, M.Sc. Thesis Sharif University of Technology ; Rabiee, Hamid Reza (Supervisor) ; Soleymani, Mahdieh (Supervisor) ; Pahlavan, Sara (Co-Advisor)
Abstract
Ability to differentiate induced pluripotent stem cells to cardiomycocytes has attracted attentions,considering crucial role of the heart in the human body and great potential applications of these cells like disease modeling, new treatment methods and basic research. We are able to analyze the performance of beating cells through recording extracellular field potentials of cardiomyocytes using multi-electrode array (MEA) technology. This analysis is an essential step to use cardiac cells in any future development and experiment. Currently, the electrophysiology experts analyze recorded extracellular field potentials of induced cardiomyocytes by observing all the episodes of each record....
Temperature-responsive smart nanocarriers for delivery of therapeutic agents: applications and recent advances
, Article ACS Applied Materials and Interfaces ; Volume 8, Issue 33 , 2016 , Pages 21107-21133 ; 19448244 (ISSN) ; Sahandi Zangabad, P ; Ghasemi, A ; Amiri, M ; Bahrami, M ; Malekzad, H ; Ghahramanzadeh Asl, H ; Mahdieh, Z ; Bozorgomid, M ; Ghasemi, A ; Rahmani Taji Boyuk, M. R ; Hamblin, M. R ; Sharif University of Technology
American Chemical Society
2016
Abstract
Smart drug delivery systems (DDSs) have attracted the attention of many scientists, as carriers that can be stimulated by changes in environmental parameters such as temperature, pH, light, electromagnetic fields, mechanical forces, etc. These smart nanocarriers can release their cargo on demand when their target is reached and the stimulus is applied. Using the techniques of nanotechnology, these nanocarriers can be tailored to be target-specific, and exhibit delayed or controlled release of drugs. Temperature-responsive nanocarriers are one of most important groups of smart nanoparticles (NPs) that have been investigated during the past decades. Temperature can either act as an external...
Engineered hyaluronic acid-decorated niosomal nanoparticles for controlled and targeted delivery of epirubicin to treat breast cancer
, Article Materials Today Bio ; Volume 16 , 2022 ; 25900064 (ISSN) ; Khalighi, S ; Akbarzadeh, I ; Niavol, F. R ; Motasadizadeh, H ; Mahdieh, A ; Jahed, V ; Abdinezhad, M ; Rahbariasr, N ; Hosseini, M ; Ahmadkhani, N ; Panahi, B ; Fatahi, Y ; Mozafari, M ; Kumar, A. P ; Mostafavi, E ; Sharif University of Technology
Elsevier B.V
2022
Abstract
Targeted drug delivery systems using nanocarriers offer a versatile platform for breast cancer treatment; however, a robust, CD44-targeted niosomal formulation has not been developed and deeply studied (both in vitro and in vivo) yet. Here, an optimized system of epirubicin (Epi)-loaded niosomal nanoparticles (Nio) coated with hyaluronic acid (HA) has been engineered for targeting breast cancer cells. The nanoformulation was first optimized (based on size, polydispersity index, and entrapment efficiency); then, we characterized the morphology, stability, and release behavior of the nanoparticles. Epirubicin release from the HA-coated system (Epi-Nio-HA) showed a 21% (acidic buffer) and 20%...