Studying Continuum Percolation Models using Gap Scaling Approach

, M.Sc. Thesis Sharif University of Technology Kamkar, Marziyeh (Author) ; Moghimi Araghi, Saman (Supervisor)

Abstract

Percolation is a fundamental topic in statistical physics with applications in modeling natural phenomena such as the spread of diseases and forest fires. It describes a geometric phase transition in which a system evolves from small-scale connectivity to extensive connectedness. At the percolation threshold, the system undergoes a continuous phase transition, exhibiting critical behavior. A recent study introduced a novel method for determining the percolation threshold by measuring the maximum change in the size of the largest cluster during the gradual increase of a control parameter. This maximum change, known as the ”gap,” signals the occurrence of the phase transition. The study also...

Polyurethane-based membranes for CO2 separation: A comprehensive review

, Article Progress in Energy and Combustion Science ; Volume 97 , 2023 ; 03601285 (ISSN) Ahmadijokani, F ; Molavi, H ; Ahmadipouya, S ; Rezakazemi, M ; Ghaffarkhah, A ; Kamkar, M ; Shojaei, A ; Arjmand, M ; Sharif University of Technology

Elsevier Ltd 2023

Abstract

The membrane process has been considered a promising technology for effective CO2 capture due to its outstanding features, including a small environmental footprint, reduced energy consumption, simplicity of operation, compact design, ease of scalability and maintenance, and low capital cost. Among the developed polymeric materials for membrane fabrication, polyurethane (PU) and poly(urethane-urea) (PUU) as multi-block copolymers have exhibited great potential for CO2 capture because of their excellent mechanical properties, high thermal stability, good film formation ability, favorable permeation properties, and a large diversity of monomers (i.e., polyol, diisocyanate, and chain extender)...

Coordination chemistry of metal–organic frameworks: Detection, adsorption, and photodegradation of tetracycline antibiotics and beyond

, Article Coordination Chemistry Reviews ; Volume 464 , 2022 ; 00108545 (ISSN) Ahmadijokani, F ; Molavi, H ; Tajahmadi, S ; Rezakazemi, M ; Amini, M ; Kamkar, M ; Rojas, O. J ; Arjmand, M ; Sharif University of Technology

Elsevier B.V 2022

Abstract

Tetracyclines (TCs) are a large family of broad-spectrum antibiotics with one of the highest aquatic persistence after release from humans and animals. Hence, TCs are known to generate antibiotic resistance along with estrogenic and other toxic effects in non-target organisms. Unfortunately, the detection and removal of TCs from aqueous matrices remain challenging. For this purpose, we review metal–organic frameworks (MOFs), which have emerged as effective alternatives, given their photocatalytic and adsorptive capabilities. MOFs exhibit large interactive surface area and tunable structure and pore size for fast mass transfer and strong host–guest interactions. Herein, these and other topics...

A novel panel of blood-based microRNAs capable of discrimination between benign breast disease and breast cancer at early stages

, Article RNA Biology ; 2021 ; 15476286 (ISSN) Sadeghi, H ; Kamal, A ; Ahmadi, M ; Najafi, H ; Sharifi Zarchi, A ; Haddad, P ; Shayestehpour, B ; Kamkar, L ; Salamati, M ; Geranpayeh, L ; Lashkari, M ; Totonchi, M ; Sharif University of Technology

Taylor and Francis Ltd 2021

Abstract

Breast cancer (BC) as a leading cause of cancer death among women, exhibits a wide range of genetic heterogeneity in affected individuals. Satisfactory management of BC depends on early diagnosis and proper monitoring of patients’ response to therapy. In this study, we aimed to assess the relation between the expression patterns of blood-based microRNAs (miRNAs) with demographic characteristics of the patients with BC in an attempt to find novel diagnostic markers for BC with acceptable precision in clinical applications. To this end, we performed comprehensive statistical analysis of the data of the Cancer Genome Atlas (TCGA) database and the blood miRNome dataset (GSE31309). As a result,...