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215 results on '"Rezaei, Mitra"'

1. Single Input Multi Output Model of Molecular Communication via Diffusion with Spheroidal Receivers

Author

Isik, Ibrahim, Rezaei, Mitra, and Noel, Adam

Subjects
Electrical Engineering and Systems Science - Signal Processing
Abstract

Spheroids are aggregates of cells that can mimic the cellular organization often found in tissues. They are typically formed through the self-assembly of cells in a culture where there is a promotion of interactions and cell-to-cell communication. Spheroids can be created from various cell types, including cancer cells, stem cells, and primary cells, and they serve as valuable tools in biological research. In this letter, molecule propagation from a point source is simulated in the presence of multiple spheroids to observe the impact of the spheroids on the spatial molecule distribution. The spheroids are modeled as porous media with a corresponding effective diffusion coefficient. System variations are considered with a higher spheroid porosity (i.e., with a higher effective diffusion coefficient) and with molecule uptake by the spheroid cells (approximated as a first-order degradation reaction while molecules diffuse within the spheroid). Results provide initial insights about the molecule propagation dynamics and their potential to model transport and drug delivery within crowded spheroid systems., Comment: submitted to TMBMC journal

Published
2024

2. Spheroidal Molecular Communication via Diffusion: Signaling Between Homogeneous Cell Aggregates

Author

Rezaei, Mitra, Arjmandi, Hamidreza, Zoofaghari, Mohammad, Kanebratt, Kajsa, Vilen, Liisa, Janzen, David, Gennemark, Peter, and Noel, Adam

Subjects
Computer Science - Information Theory, Quantitative Biology - Cell Behavior
Abstract

Recent molecular communication (MC) research has integrated more detailed computational models to capture the dynamics of practical biophysical systems. This research focuses on developing realistic models for MC transceivers inspired by spheroids - three-dimensional cell aggregates commonly used in organ-on-chip experimental systems. Potential applications that can be used or modeled with spheroids include nutrient transport in an organ-on-chip system, the release of biomarkers or reception of drug molecules by a cancerous tumor site, or transceiver nanomachines participating in information exchange. In this paper, a simple diffusive MC system is considered where a spheroidal transmitter and receiver are in an unbounded fluid environment. These spheroidal antennas are modeled as porous media for diffusive signaling molecules, then their boundary conditions and effective diffusion coefficients are characterized. Further, for either a point source or spheroidal transmitter, Green's function for concentration (GFC) outside and inside the receiving spheroid is analytically derived and formulated in terms of an infinite series and confirmed by a particle-based simulator (PBS). The provided GFCs enable computation of the transmitted and received signals in the spheroidal communication system. This study shows that the porous structure of the receiving spheroid amplifies diffusion signals but also disperses them, thus there is a trade-off between porosity and information transmission rate. Also, the results reveal that the porous arrangement of the transmitting spheroid not only disperses the received signal but also attenuates it. System performance is also evaluated in terms of bit error rate (BER). Decreasing the porosity of the receiving spheroid is shown to enhance system performance. Conversely, reducing the porosity of the transmitting spheroid can adversely affect system performance., Comment: 14 pages; 10 figures; accepted to appear in IEEE Transactions on Molecular, Biological, and Multi-Scale Communications. This work was presented in part at the 2023 IEEE International Conference on Communication arXiv:2302.09265

Published
2023

4. Broadening the phenotype and genotype spectrum of novel mutations in pontocerebellar hypoplasia with a comprehensive molecular literature review

Author

Ghasemi, Mohammad-Reza, Tehrani Fateh, Sahand, Moeinafshar, Aysan, Sadeghi, Hossein, Karimzadeh, Parvaneh, Mirfakhraie, Reza, Rezaei, Mitra, Hashemi-Gorji, Farzad, Rezvani Kashani, Morteza, Fazeli Bavandpour, Fatemehsadat, Bagheri, Saman, Moghimi, Parinaz, Rostami, Masoumeh, Madannejad, Rasoul, Roudgari, Hassan, and Miryounesi, Mohammad

Published
2024
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5. Diffusive Molecular Communication with a Spheroidal Receiver for Organ-on-Chip Systems

Author

Arjmandi, Hamidreza, Zoofaghari, Mohamad, Rezaei, Mitra, Kanebratt, Kajsa, Vilen, Liisa, Janzen, David, Gennemark, Peter, and Noel, Adam

Subjects
Computer Science - Emerging Technologies, Physics - Biological Physics
Abstract

Realistic models of the components and processes are required for molecular communication (MC) systems. In this paper, a spheroidal receiver structure is proposed for MC that is inspired by the 3D cell cultures known as spheroids being widely used in organ-on-chip systems. A simple diffusive MC system is considered where the spheroidal receiver and a point source transmitter are in an unbounded fluid environment. The spheroidal receiver is modeled as a porous medium for diffusive signaling molecules, then its boundary conditions and effective diffusion coefficient are characterized. It is revealed that the spheroid amplifies the diffusion signal, but also disperses the signal which reduces the information communication rate. Furthermore, we analytically formulate and derive the concentration Green's function inside and outside the spheroid in terms of infinite series-forms that are confirmed by a particle-based simulator (PBS).

Published
2023

6. Acetyl-11-Keto-Beta-Boswellic Acid Has Therapeutic Benefits for NAFLD Rat Models That Were Given a High Fructose Diet by Ameliorating Hepatic Inflammation and Lipid Metabolism

Author

Kachouei, Reza Ataei, Doagoo, Alireza, Jalilzadeh, Maral, Khatami, Seyyed Hossein, Rajaei, Shima, Jahan-Abad, Ali Jahanbazi, Salmani, Farzaneh, Pakrad, Roya, Baram, Somayeh Mahmoodi, Nourbakhsh, Mitra, Abdollahifar, Mohammad-Amin, Abbaszadeh, Hojjat Allah, Noori, Shokoofeh, Rezaei, Mitra, Mahdavi, Meisam, Shahmohammadi, Mohammad Reza, and Karima, Saeed

Published
2023
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7. Applications of Deep Learning Techniques for Automated Multiple Sclerosis Detection Using Magnetic Resonance Imaging: A Review

Author

Shoeibi, Afshin, Khodatars, Marjane, Jafari, Mahboobeh, Moridian, Parisa, Rezaei, Mitra, Alizadehsani, Roohallah, Khozeimeh, Fahime, Gorriz, Juan Manuel, Heras, Jónathan, Panahiazar, Maryam, Nahavandi, Saeid, and Acharya, U. Rajendra

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition
Abstract

Multiple Sclerosis (MS) is a type of brain disease which causes visual, sensory, and motor problems for people with a detrimental effect on the functioning of the nervous system. In order to diagnose MS, multiple screening methods have been proposed so far; among them, magnetic resonance imaging (MRI) has received considerable attention among physicians. MRI modalities provide physicians with fundamental information about the structure and function of the brain, which is crucial for the rapid diagnosis of MS lesions. Diagnosing MS using MRI is time-consuming, tedious, and prone to manual errors. Hence, computer aided diagnosis systems (CADS) based on artificial intelligence (AI) methods have been proposed in recent years for accurate diagnosis of MS using MRI neuroimaging modalities. In the AI field, automated MS diagnosis is being conducted using (i) conventional machine learning and (ii) deep learning (DL) techniques. The conventional machine learning approach is based on feature extraction and selection by trial and error. In DL, these steps are performed by the DL model itself. In this paper, a complete review of automated MS diagnosis methods performed using DL techniques with MRI neuroimaging modalities are discussed. Also, each work is thoroughly reviewed and discussed. Finally, the most important challenges and future directions in the automated MS diagnosis using DL techniques coupled with MRI modalities are presented in detail.

Published
2021
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8. Automatic Diagnosis of Schizophrenia in EEG Signals Using Functional Connectivity Features and CNN-LSTM Model

Author

Shoeibi, Afshin, Rezaei, Mitra, Ghassemi, Navid, Namadchian, Zahra, Zare, Assef, Gorriz, Juan M., Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Ferrández Vicente, José Manuel, editor, Álvarez-Sánchez, José Ramón, editor, de la Paz López, Félix, editor, and Adeli, Hojjat, editor

Published
2022
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9. Automatic Diagnosis of Myocarditis in Cardiac Magnetic Images Using CycleGAN and Deep PreTrained Models

Author

Shoeibi, Afshin, Ghassemi, Navid, Heras, Jonathan, Rezaei, Mitra, Gorriz, Juan M., Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Ferrández Vicente, José Manuel, editor, Álvarez-Sánchez, José Ramón, editor, de la Paz López, Félix, editor, and Adeli, Hojjat, editor

Published
2022
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10. Transmission electron microscopy study of suspected primary ciliary dyskinesia patients

Author

Rezaei, Mitra, Soheili, Amirali, Ziai, Seyed Ali, Fakharian, Atefeh, Toreyhi, Hossein, Pourabdollah, Mihan, Ghorbani, Jahangir, Karimi-Galougahi, Mahboobeh, Mahdaviani, Seyed Alireza, Hasanzad, Maryam, Eslaminejad, Alireza, Ghaffaripour, Hossein Ali, Mahmoudian, Saied, Rodafshani, Zahra, Mirenayat, Maryam Sadat, Varahram, Mohammad, Marjani, Majid, Tabarsi, Payam, Mansouri, Davood, Jamaati, Hamid Reza, and Velayati, Ali Akbar

Published
2022
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15. Spheroidal Molecular Communication via Diffusion: Signaling Between Homogeneous Cell Aggregates

Author

Rezaei, Mitra, Arjmandi, Hamidreza, Zoofaghari, Mohammad, Kanebratt, Kajsa, Vilen, Liisa, Janzen, David, Gennemark, Peter, Noel, Adam, Rezaei, Mitra, Arjmandi, Hamidreza, Zoofaghari, Mohammad, Kanebratt, Kajsa, Vilen, Liisa, Janzen, David, Gennemark, Peter, and Noel, Adam

Abstract

Recent molecular communication (MC) research has integrated more detailed computational models to capture the dynamics of practical biophysical systems. This paper focuses on developing realistic models for MC transceivers inspired by spheroids - three-dimensional cell aggregates commonly used in organ-on-chip experimental systems. Potential applications that can be used or modeled with spheroids include nutrient transport in organ-on-chip systems, the release of biomarkers or reception of drug molecules by cancerous tumor sites, or transceiver nanomachines participating in information exchange. In this paper, a simple diffusive MC system is considered where a spheroidal transmitter and spheroidal receiver are in an unbounded fluid environment. These spheroidal antennas are modeled as porous media for diffusive signaling molecules, then their boundary conditions and effective diffusion coefficients are characterized. Furthermore, for either a point source or spheroidal transmitter, the Green's function for concentration (GFC) outside and inside the receiving spheroid is analytically derived and formulated in terms of an infinite series and confirmed with a particle-based simulator (PBS). The provided GFCs enable computation of the transmitted and received signals in the proposed spheroidal communication system. This study shows that the porous structure of the receiving spheroid amplifies diffusion signals but also disperses them, thus there is a trade-off between porosity and information transmission rate. Furthermore, the results reveal that the porous arrangement of the transmitting spheroid not only disperses the received signal but also attenuates it in comparison to a point source transmitter. System performance is also evaluated in terms of the bit error rate (BER). Decreasing the porosity of the receiving spheroid is shown to enhance the system performance. Conversely, reducing the porosity of the transmitting spheroid can adversely affect system performance, Funding Agencies|Engineering and Physical Sciences Research Council

Published
2024
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16. Stage analysis of pancreatic ductal adenocarcinoma via network analysis.

Author

Bahadorimonfared, Ayad, Farahani, Masoumeh, Tavirani, Mostafa Rezaei, Razzaghi, Zahra, Arjmand, Babak, Rezaei, Mitra, Nikzamir, Abdolrahim, Ehsani Ardakani, Mohammad Javad, and Mansouri, Vahid

Subjects
RESEARCH funding, EARLY detection of cancer, TUMOR markers, DESCRIPTIVE statistics, PANCREATIC tumors, GENE expression, EPIDERMAL growth factor, DUCTAL carcinoma, OXIDOREDUCTASES, TUMOR classification, COMPARATIVE studies, CASPASES
Abstract

Aim: This study aimed to introduce a biomarker panel to detect pancreatic ductal adenocarcinoma (PDAC) in the early stage, and also differentiate of stages from each other. Background: PDAC is a lethal cancer with poor prognosis and overall survival. Methods: Gene expression profiles of PDAC patients were extracted from the Gene Expression Omnibus (GEO) database. The genes that were significantly differentially expressed (DEGs) for Stages I, II, and III in comparison to the healthy controls were identified. The determined DEGs were assessed via protein-protein interaction (PPI) network analysis, and the hub-bottleneck nodes of analyzed networks were introduced. Results: A number of 140, 874, and 1519 significant DEGs were evaluated via PPI network analysis. A biomarker panel including ALB, CTNNB1, COL1A1, POSTN, LUM, and ANXA2 is presented as a biomarker panel to detect PDAC in the early stage. Two biomarker panels are suggested to recognize other stages of illness. Conclusion: It can be concluded that ALB, CTNNB1, COL1A1, POSTN, LUM, and ANXA2 and also FN1, HSP90AA1, LOX, ANXA5, SERPINE1, and WWP2 beside GAPDH, AKT1, EGF, CASP3 are suitable sets of gene to separate stages of PDAC. [ABSTRACT FROM AUTHOR]

Published
2024
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17. Mycobacterium genavense infections in immunocompromised patients with HIV: A clinical case report.

Author

Manshadi, Seyed Ali Dehghan, Rezaei, Mitra, Moradi, Maryam, and Hemmatian, Marjan

Subjects
*MYCOBACTERIAL diseases, *IMMUNOCOMPROMISED patients, *HIV-positive persons, *MYCOBACTERIUM, *WEIGHT loss, *BURULI ulcer
Abstract

Key Clinical Message: It is essential to consider non‐tuberculosis mycobacterium in HIV‐positive patients with fever, abdominal pain, weight loss, and splenomegaly. Mycobacterium genavense is an opportunistic slow‐growing nontuberculous mycobacterium in patients with immunocompromised backgrounds, especially HIV‐positive patients. In this study, we present two cases of Mycobacterium genovese infection in HIV‐positive patients with a good clinical response to accurate treatment. [ABSTRACT FROM AUTHOR]

Published
2024
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33. Diminution of STING Expression in the Blood of Patients with Severe or Critical COVID-19 Pneumonia

Author

Rezaei, Mitra, primary, Marjani, Majid, additional, Mirahmadi, Alireza, additional, Bineshfar, Niloufar, additional, Mohammadpour, Hadiseh, additional, Pourabdollah Toutkaboni, Mihan, additional, Nasr Azadani, Farinaz, additional, Amanzade, Zahra, additional, Tabarsi, Payam, additional, Ziai, Seyed Ali, additional, Casanova, Jean Laurent, additional, and Mansouri, Davood, additional

Published
2022
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34. Hematocytological Clues of Peripheral Blood in Different Clinical Presentations of COVID-19.

Author

Zahed, Seyede Fakhri Mohaghagh, Dabiri, Shahriar, Javadi, Abdolreza, Movahednia, Sajjadeh, Pharm, Manzumeh Shamsi Meymandi, Dabiri, Bahram, Esmaili, Parisa Khorasani, Rezaei, Mitra Sadat, and Faroukhnia, Mehrdad

Subjects
GRANULOCYTES, COVID-19, SYMPTOMS, NEUTROPHILS, INTENSIVE care units, MONOCYTES
Abstract

Background: To gain insight into the pathogenesis and clinical course of COVID-19 from a historical perspective, we reviewed paraclinical diagnostic tools of this disease and prioritized the patients with a more severe form of disease admitted to intensive care units (ICUs). The objective was to better predict the course and severity of the disease by collecting more paraclinical data, specifically by examining the relationship between hematological findings and cytological variation of blood neutrophils and monocytes. Methods: This retrospective study was conducted on 112 patients with confirmed COVID-19 admitted to Imam Hossein Hospital (Tehran, Iran) from August to September 2020. Peripheral blood smears of these patients were differentiated according to several cytological variations of neutrophils and monocytes, and the correlation to the severity of the disease was specified. Results: The mean percentages of degenerated monocytes, degenerated granulocytes, and spiky biky neutrophils were significantly different among critical and non-critical patients (P<0.05). Degenerated monocytes and granulocytes were higher in critical patients as opposed to spiky biky neutrophils, which were higher among non-critical ones. Comparing the peripheral blood smears of COVID-19 patients (regarding pulmonary involvement in chest computed tomography [CT] scans [subtle, mild, moderate, and severe groups]), the twisted form of neutrophils was significantly higher in the subtle group than in the mild and moderate groups (P=0.003). Conclusion: Different cytological morphologies of neutrophils and monocytes, including degenerated monocytes, degenerated granulocytes, and spiky biky and twisted neutrophils, could help to predict the course and severity of the disease. [ABSTRACT FROM AUTHOR]

Published
2023
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36. National Research Institute of Tuberculosis and Lung Disease (NRITLD) Protocol for the Treatment of Patients with COVID-19

Author

Mirenayat, Maryam Sadat, primary, Abedini, Atefeh, additional, Kiani, Arda, additional, Eslaminejad, Alireza, additional, Adimi naghan, Parisa, additional, Malekmohammad, Majid, additional, Heshmatnia, Jalal, additional, Nadji, Seyed Alireza, additional, Idani, Esmaeil, additional, Zahiri, Reyhaneh, additional, Lookzadeh, Somayeh, additional, Sheikhzade, Hakimeh, additional, Dastan, Farzaneh, additional, Porabdollah Toutkaboni, Mihan, additional, Rezaei, Mitra Sadat, additional, Askari, Elham, additional, Tabarsi, Payam, additional, Marjani, Majid, additional, Moniri, Afshin, additional, Hashemian, Seyed Mohammad Reza, additional, Farzanegan, Behrooz, additional, Abtahian, Zahra, additional, Yassari, Fatemeh, additional, Mansouri, Nazanin, additional, Mansouri, Davood, additional, Vasheghani, Maryam, additional, Mansourafshar, Babak, additional, Mokhber Dezfoli, Mojtaba, additional, Soleimani, Salman, additional, Seifi, Sharareh, additional, Naghashzadeh, Farah, additional, Fakharian, Atefeh, additional, Varahram, Mohammad, additional, Jamaati, Hamidreza, additional, Zali, Alireza, additional, and Velayati, Ali Akbar, additional

Published
2022
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37. The Frequency of Epidermal Growth Factor Receptor (EGFR) Mutation in Patients with Lung Adenocarcinoma Referred to a Lung Diseases Hospital; A Cross-Sectional Study from Iran

Author

Mohammadi, Sotoudeh, primary, Rezaei, Mitra, additional, Shojaeian, Fatemeh, additional, Pourabdollah, Mihan, additional, Mohammadi Ziazi, Leila, additional, Seifi, Sharareh, additional, Doroodinia, Atousa, additional, Salimi, Babak, additional, Khosravi, Adnan, additional, and Farhangnasab, Mohammad Amin, additional

Published
2022
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40. Diminution of STING Expression in the Blood of Patients with Severe or Critical COVID-19 Pneumonia.

Author

Rezaei, Mitra, Marjani, Majid, Mirahmadi, Alireza, Bineshfar, Niloufar, Mohammadpour, Hadiseh, Pourabdollah Toutkaboni, Mihan, Nasr Azadani, Farinaz, Amanzade, Zahra, Tabarsi, Payam, Ziai, Seyed Ali, Casanova, Jean Laurent, and Mansouri, Davood

Subjects
*GENE expression, *RESPIRATORY infections, *MONONUCLEAR leukocytes, *COVID-19, *FALSE positive error
Abstract

Introduction: Cytokine storm and critical COVID-19 pneumonia are caused in at least 10% of patients by inborn errors of or auto-Abs to type I IFNs. The pathogenesis of life-threatening COVID-19 pneumonia in other patients remains unknown. Methods: This study was conducted at Masih Daneshvari Hospital, Tehran, Iran. In the period of study, 75 confirmed cases of COVID-19 with presentations ranging from mild upper respiratory tract infection to lower respiratory tract infection, including moderate, severe, and critical disease, were recruited. Expression of STING mRNA was measured in peripheral blood mononuclear cells (PBMCs) and compared between patients with different severity and outcome. Results: There was a significant negative correlation between age and STING expression level (p value = 0.010). Patients with "severe to critical" illness had a 20-fold lower STING expression level compared to the "mild to moderate" group (p value = 0.001). Also, the results showed lower expressions of STING in the patients admitted to the ICU (p value = 0.015). Patients who finally died had lower expression of STING at the time of sampling (p value = 0.041). Conclusion: STING mRNA expression in PBMCs was significantly lower in older COVID-19 cases, the patients with more severe illness, who needed intensive care, and who eventually died. [ABSTRACT FROM AUTHOR]

Published
2023
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42. Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review

Author

Shoeibi, Afshin, primary, Khodatars, Marjane, additional, Jafari, Mahboobeh, additional, Moridian, Parisa, additional, Rezaei, Mitra, additional, Alizadehsani, Roohallah, additional, Khozeimeh, Fahime, additional, Gorriz, Juan Manuel, additional, Heras, Jónathan, additional, Panahiazar, Maryam, additional, Nahavandi, Saeid, additional, and Acharya, U. Rajendra, additional

Published
2021
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43. The role of angiotensin I converting enzyme insertion/ deletion polymorphism in the severity and outcomes of COVID-19 patients.

Author

Rezaei, Mitra, Mohammadpour, Hadiseh, Eftekhari, Mahya, Pourabdollah, Mihan, Azadani, Farinaz Nasr, Tabarsi, Payam, Marjani, Majid, and Ziai, Seyed Ali

Abstract

The pandemic of coronavirus disease in 2019 has led to a global crisis. COVID-19 shows distinct clinical manifestations of the severity of symptoms. Numerous patients with no associated risk factors demonstrate acute respiratory distress syndrome (ARDS). The role of genetic factors in determining the severity and outcome of the disease remains unresolved. The purpose of this study was to see if a correlation exists between Angiotensin I Converting Enzyme (ACE) insertion/deletion (I/D) polymorphism and the severity of COVID-19 patients’ symptoms. 120 COVID-19 patients admitted to Masih Daneshvari Hospital in Tehran with their consent to participate entered the study. Based on the World Health Organization classification, patients were divided into moderate and severe groups, which were primarily affected by O2 saturation levels. The effects of the patients’ ACE insertion/deletion polymorphism, background disease, Angiotensin receptor blocker (ARB) drug consumption, and demographic parameters on the severity risk were calculated statistically. The ACE D allele was associated with an increased risk of disease severity (OR = 6.766, p = 0.012), but had no effect on mortality. [ABSTRACT FROM AUTHOR]

Published
2022
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45. Evaluation of lymphocyte subtypes in COVID-19 patients

Author

Rezaei, Mitra, primary, Marjani, Majid, additional, Tabarsi, Payam, additional, Moniri, Afshin, additional, purabdollah, Mihan, additional, Abtahian, Zahra, additional, Dizaji, Mehdi Kazempour, additional, Roofchayee, Neda Dalil, additional, Dezfuli, Neda K., additional, Mansouri, Davood, additional, Hossein-Khannazer, Nikoo, additional, Varahram, Mohamad, additional, Mortaz, Esmaeil, additional, and Velayati, Ali Akbar, additional

Published
2021
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48. Molecular Communication Transmitter Design in Limited-Capacity Storage Regime

Author

Rezaei, Mitra, Rudsari, Hamid Khoshfekr, Javan, Mohammadreza, Mokari, Nader, Jorswieck, Eduard A., and Orooji, Mahdi

Abstract

The limited storage capacity at the transmitters of a molecular communication (MC) system can affect the system’s performance. One of the reasons for this limitation is the size restriction of the transmitter, which the storage must be replenished so that the transmitter has enough molecules for future transmission. This paper proposes a biologically inspired transmitter model based on neurons for MC whose storage charging and discharging follow differential equations. The proposed transmitter opens its outlet for a specific time in each time frame to exponentially release a portion of stored molecules to code bit-1 and remains silent to code bit-0. We analyze our model based on different transmission parameters. These parameters are the symbol duration, the release time duration, the storage capacity, and the release and replenishment rate of the storage. We find that the storage outlet must be open for a certain period within the time slot duration in order to improve the performance of the proposed system. Additionally, we demonstrate that determining the effect of storage capacity size can be important for practical MC due to the significant differences between the ideal transmitter and the proposed one, which have a limited size. We show that increases in the transmitter storage size can improve the system performance. As a result, taking a closer look at these practical transmitters is essential to solving the problems and challenges of molecular communication systems.

Published
2023
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50. Pathogenesis of COVID-19; Acute Auto-inflammatory Disease (Endotheliopathica & Leukocytoclastica COVIDicus)

Author

Bahadori, Moslem, primary, Dabiri, Shahriar, additional, Javadi, Abdolreza, additional, Shamsi Meymandi, Simin, additional, Movahedinia, Sajjadeh, additional, Shamsi Meymandi, Manzumeh, additional, Khorasani, Parisa, additional, Farrokhnia, Mehrdad, additional, Yousefi, Meysam, additional, Sarrafzadeh, Farhad, additional, Abosaidi, Hamid, additional, Shojaeepour, Saeedeh, additional, Mortazaizadeh, Abbas, additional, Rezaei, Mitra, additional, Dabiri, Bahram, additional, Mohabati, Nader, additional, Ranjbar, Hanie, additional, Rashidinejad, Sara, additional, and Feizy, Abdolamir, additional

Published
2021
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