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Dr. Madjid Soltani
Department of Earth and Environmental Sciences, University of Waterloo, Waterloo, ON N2L 3G1, Canada

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0 Biomedical Engineering
0 Nanomedicine
0 microfluidic
0 Drug delivery to solid tumor
0 Transport phenomena in tissues

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Drug delivery to solid tumor
Nanomedicine
microfluidic
Transport phenomena in tissues

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Journal article
Published: 06 August 2021 in Scientific Reports
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Aortic dissection (AD) is one of the fatal and complex conditions. Since there is a lack of a specific treatment guideline for type-B AD, a better understanding of patient-specific hemodynamics and therapy outcomes can potentially control the progression of the disease and aid in the clinical decision-making process. In this work, a patient-specific geometry of type-B AD is reconstructed from computed tomography images, and a numerical simulation using personalised computational fluid dynamics (CFD) with three-element Windkessel model boundary condition at each outlet is implemented. According to the physiological response of beta-blockers to the reduction of left ventricular contractions, three case studies with different heart rates are created. Several hemodynamic features, including time-averaged wall shear stress (TAWSS), highly oscillatory, low magnitude shear (HOLMES), and flow pattern are investigated and compared between each case. Results show that decreasing TAWSS, which is caused by the reduction of the velocity gradient, prevents vessel wall at entry tear from rupture. Additionally, with the increase in HOLMES value at distal false lumen, calcification and plaque formation in the moderate and regular-heart rate cases are successfully controlled. This work demonstrates how CFD methods with non-invasive hemodynamic metrics can be developed to predict the hemodynamic changes before medication or other invasive operations. These consequences can be a powerful framework for clinicians and surgical communities to improve their diagnostic and pre-procedural planning.

ACS Style

Mohammad Amin Abazari; Deniz Rafieianzab; M. Soltani; Mona Alimohammadi. The effect of beta-blockers on hemodynamic parameters in patient-specific blood flow simulations of type-B aortic dissection: a virtual study. Scientific Reports 2021, 11, 1 .

AMA Style

Mohammad Amin Abazari, Deniz Rafieianzab, M. Soltani, Mona Alimohammadi. The effect of beta-blockers on hemodynamic parameters in patient-specific blood flow simulations of type-B aortic dissection: a virtual study. Scientific Reports. 2021; 11 ():1.

Chicago/Turabian Style

Mohammad Amin Abazari; Deniz Rafieianzab; M. Soltani; Mona Alimohammadi. 2021. "The effect of beta-blockers on hemodynamic parameters in patient-specific blood flow simulations of type-B aortic dissection: a virtual study." Scientific Reports 11, no. : 1.

Journal article
Published: 31 July 2021 in International Journal of Heat and Mass Transfer
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Enhancement of heat transfer using finned circular tubes arranged in counter-flow configurations are accompanied by high pressure losses. To obviate these problems, finned oval tubes are introduced which can enhance heat transfer while keeping pressure losses minimum. In this paper, different configurations of finned oval tubes which are called tube bundles are experimentally investigated using a thermal camera and a smoke wind tunnel (1800

ACS Style

Alireza Hashem-Ol-Hosseini; Mehran Akbarpour Ghazani; Amirreza Shahsavari; M. Soltani. Experimental investigation of thermal-hydraulic characteristics of finned oval tube bundles in cross-flow arrangements. International Journal of Heat and Mass Transfer 2021, 180, 121759 .

AMA Style

Alireza Hashem-Ol-Hosseini, Mehran Akbarpour Ghazani, Amirreza Shahsavari, M. Soltani. Experimental investigation of thermal-hydraulic characteristics of finned oval tube bundles in cross-flow arrangements. International Journal of Heat and Mass Transfer. 2021; 180 ():121759.

Chicago/Turabian Style

Alireza Hashem-Ol-Hosseini; Mehran Akbarpour Ghazani; Amirreza Shahsavari; M. Soltani. 2021. "Experimental investigation of thermal-hydraulic characteristics of finned oval tube bundles in cross-flow arrangements." International Journal of Heat and Mass Transfer 180, no. : 121759.

Research article
Published: 10 July 2021 in Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine
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Uncontrolled proliferation of cells in a tissue caused by genetic mutations inside a cell is referred to as a tumor. A tumor which grows rapidly encounters a barrier when it grows to a certain size in presence of preexisting vasculature. This is the time when it has to find a way to go on the growth. The tumor starts to secrete tumor angiogenic factors (TAFs) and stimulate preexisting vessels to grow new sprouts. These new sprouts will find their way to the tumor in the extracellular matrix (ECM) by the gradient of TAF. As these new capillaries anastomose and reach tumor, fresh oxygen is available for the tumor and it will reinitiate the growth. Number of initial sprouts, distance of initial tumor cells from the vessel(s) and initial density of the tumor at the time of sprout formation are questions which are to be investigated. In the present study, the aim is to find the response of tumor cells and vessels to the reciprocal effects of each other in different circumstances in the tissue. Together with a mathematical formulation, a radial basis function (RBF) neural network is established to predict the number of tumor cells at different circumstances including size and distance of initial tumors from the parent vessel. A final formulation is given for the final number of tumor cells as a function of initial tumor size and distance between a parent vessel and a tumor. Results of this simulation demonstrate that, increasing the distance between a tumor and a parent vessel decreases the number of final tumor cells. Specially, this decrement becomes faster beyond a certain distance. Moreover, initial tumors in bigger domains must become much bigger before inducing angiogenesis which makes it harder for them to survive.

ACS Style

Mehran Akbarpour Ghazani; Mohsen Saghafian; Peyman Jalali; Madjid Soltani. Mathematical simulation and prediction of tumor volume using RBF artificial neural network at different circumstances in the tumor microenvironment. Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine 2021, 1 .

AMA Style

Mehran Akbarpour Ghazani, Mohsen Saghafian, Peyman Jalali, Madjid Soltani. Mathematical simulation and prediction of tumor volume using RBF artificial neural network at different circumstances in the tumor microenvironment. Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine. 2021; ():1.

Chicago/Turabian Style

Mehran Akbarpour Ghazani; Mohsen Saghafian; Peyman Jalali; Madjid Soltani. 2021. "Mathematical simulation and prediction of tumor volume using RBF artificial neural network at different circumstances in the tumor microenvironment." Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine , no. : 1.

Original research article
Published: 06 July 2021 in Frontiers in Oncology
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Cancer stands out as one of the fatal diseases people are facing all the time. Each year, a countless number of people die because of the late diagnosis of cancer or wrong treatments. Glioma, one of the most common primary brain tumors, has different aggressiveness and sub-regions, which can affect the risk of disease. Although prediction of overall survival based on multimodal magnetic resonance imaging (MRI) is challenging, in this study, we assess if and how location-based features of tumors can affect overall survival prediction. This approach is evaluated independently and in combination with radiomic features. The process is carried out on a data set entailing MRI images of patients with glioblastoma. To assess the impact of resection status, the data set is divided into two groups, patients were reported as gross total resection and unknown resection status. Then, different machine learning algorithms were used to evaluate how location features are linked with overall survival. Results from regression models indicate that location-based features have considerable effects on the patients’ overall survival independently. Additionally, classifier models show an improvement in prediction accuracy by the addition of location-based features to radiomic features.

ACS Style

Madjid Soltani; Armin Bonakdar; Nastaran Shakourifar; Reza Babaei; Kaamran Raahemifar. Efficacy of Location-Based Features for Survival Prediction of Patients With Glioblastoma Depending on Resection Status. Frontiers in Oncology 2021, 11, 1 .

AMA Style

Madjid Soltani, Armin Bonakdar, Nastaran Shakourifar, Reza Babaei, Kaamran Raahemifar. Efficacy of Location-Based Features for Survival Prediction of Patients With Glioblastoma Depending on Resection Status. Frontiers in Oncology. 2021; 11 ():1.

Chicago/Turabian Style

Madjid Soltani; Armin Bonakdar; Nastaran Shakourifar; Reza Babaei; Kaamran Raahemifar. 2021. "Efficacy of Location-Based Features for Survival Prediction of Patients With Glioblastoma Depending on Resection Status." Frontiers in Oncology 11, no. : 1.

Original research article
Published: 24 June 2021 in Frontiers in Oncology
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Objective Nano-sized drug delivery systems (NSDDSs) offer a promising therapeutic technology with sufficient biocompatibility, stability, and drug-loading rates towards efficient drug delivery to solid tumors. We aim to apply a multi-scale computational model for evaluating drug delivery to predict treatment efficacy. Methodology Three strategies for drug delivery, namely conventional chemotherapy (one-stage), as well as chemotherapy through two- and three-stage NSDDSs, were simulated and compared. A geometric model of the tumor and the capillary network was obtained by processing a real image. Subsequently, equations related to intravascular and interstitial flows as well as drug transport in tissue were solved by considering real conditions as well as details such as drug binding to cells and cellular uptake. Finally, the role of periodic treatments was investigated considering tumor recurrence between treatments. The impact of different parameters, nanoparticle (NP) size, binding affinity of drug, and the kinetics of release rate, were additionally investigated to determine their therapeutic efficacy. Results Using NPs considerably increases the fraction of killed cells (FKCs) inside the tumor compared to conventional chemotherapy. Tumoral FKCs for two-stage DDS with smaller NP size (20nm) is higher than that of larger NPs (100nm), in all investigate release rates. Slower and continuous release of the chemotherapeutic agents from NPs have better treatment outcomes in comparison with faster release rate. In three-stage DDS, for intermediate and higher binding affinities, it is desirable for the secondary particle to be released at a faster rate, and the drug with slower rate. In lower binding affinities, high release rates have better performance. Results also demonstrate that after 5 treatments with three-stage DDS, 99.6% of tumor cells (TCs) are killed, while two-stage DDS and conventional chemotherapy kill 95.6% and 88.5% of tumor cells in the same period, respectively. Conclusion The presented framework has the potential to enable decision making for new drugs via computational modeling of treatment responses and has the potential to aid oncologists with personalized treatment plans towards more optimal treatment outcomes.

ACS Style

Farshad Moradi Kashkooli; M. Soltani; Mohammad Masoud Momeni; Arman Rahmim. Enhanced Drug Delivery to Solid Tumors via Drug-Loaded Nanocarriers: An Image-Based Computational Framework. Frontiers in Oncology 2021, 11, 1 .

AMA Style

Farshad Moradi Kashkooli, M. Soltani, Mohammad Masoud Momeni, Arman Rahmim. Enhanced Drug Delivery to Solid Tumors via Drug-Loaded Nanocarriers: An Image-Based Computational Framework. Frontiers in Oncology. 2021; 11 ():1.

Chicago/Turabian Style

Farshad Moradi Kashkooli; M. Soltani; Mohammad Masoud Momeni; Arman Rahmim. 2021. "Enhanced Drug Delivery to Solid Tumors via Drug-Loaded Nanocarriers: An Image-Based Computational Framework." Frontiers in Oncology 11, no. : 1.

Oncology
Published: 23 June 2021 in PLOS Computational Biology
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The dynamics of tumors growth and associated events cover multiple time and spatial scales, generally including extracellular, cellular and intracellular modifications. The main goal of this study is to model the biological and physical behavior of tumor evolution in presence of normal healthy tissue, taking in consideration a variety of events involved in the process. These include hyper and hypoactivation of signaling pathways during tumor growth, vessels growth, intratumoral vascularization and competition of cancer cells with healthy host tissue. The work addresses two distinctive phases in tumor development—the avascular and vascular phases—and in each stage two cases are considered—with and without normal healthy cells. The tumor growth rate increases considerably as closed vessel loops (anastomoses) form around the tumor cells resulting from tumor induced vascularization. When taking into account the host tissue around the tumor, the results show that competition between normal cells and cancer cells leads to the formation of a hypoxic tumor core within a relatively short period of time. Moreover, a dense intratumoral vascular network is formed throughout the entire lesion as a sign of a high malignancy grade, which is consistent with reported experimental data for several types of solid carcinomas. In comparison with other mathematical models of tumor development, in this work we introduce a multiscale simulation that models the cellular interactions and cell behavior as a consequence of the activation of oncogenes and deactivation of gene signaling pathways within each cell. Simulating a therapy that blocks relevant signaling pathways results in the prevention of further tumor growth and leads to an expressive decrease in its size (82% in the simulation).

ACS Style

Sahar Jafari Nivlouei; M. Soltani; João Carvalho; Rui Travasso; Mohammad Reza Salimpour; Ebrahim Shirani. Multiscale modeling of tumor growth and angiogenesis: Evaluation of tumor-targeted therapy. PLOS Computational Biology 2021, 17, e1009081 .

AMA Style

Sahar Jafari Nivlouei, M. Soltani, João Carvalho, Rui Travasso, Mohammad Reza Salimpour, Ebrahim Shirani. Multiscale modeling of tumor growth and angiogenesis: Evaluation of tumor-targeted therapy. PLOS Computational Biology. 2021; 17 (6):e1009081.

Chicago/Turabian Style

Sahar Jafari Nivlouei; M. Soltani; João Carvalho; Rui Travasso; Mohammad Reza Salimpour; Ebrahim Shirani. 2021. "Multiscale modeling of tumor growth and angiogenesis: Evaluation of tumor-targeted therapy." PLOS Computational Biology 17, no. 6: e1009081.

Journal article
Published: 12 June 2021 in Energy Conversion and Management
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With the penetration of solar and wind plants into the energy markets, power production is becoming more erratic; therefore, a promising energy storage system is required for a reliable grid. Adiabatic compressed air energy storage, as a large-scale energy storage technology, has great promise to mitigate the challenges of managing the variability and intermittency of renewable energy generation. The Thermal Energy Storage subsystem is a key component that improves the efficiency of adiabatic compressed air energy storage, making it a feasible option as a large-scale energy storage system for scalability. In this article, a comprehensive investigation of a novel, efficient, and green adiabatic compressed air energy storage system based on a cascade packed bed thermal energy storage filled with encapsulated phase-change materials is employed, encompassing thermodynamic and economic aspects of the cycle, and transient modeling of the TES tanks. The objective of the proposed concept is to recover the waste heat generated in the compression process as much as possible to improve system performance. In this regard, the influence of the introduced thermal energy storage configuration on the efficiency and exergy destruction of the system is studied and compared with basic designs. The findings show that round trip energy and exergy efficiencies of 61.5% and 68.2% with a payback period is 3.5 years, resulting from the consumption of low-price off-peak electricity for charging and generating power at the peak demand hours.

ACS Style

Shadi Bashiri Mousavi; Mahdieh Adib; M. Soltani; Amir Reza Razmi; Jatin Nathwani. Transient thermodynamic modeling and economic analysis of an adiabatic compressed air energy storage (A-CAES) based on cascade packed bed thermal energy storage with encapsulated phase change materials. Energy Conversion and Management 2021, 243, 114379 .

AMA Style

Shadi Bashiri Mousavi, Mahdieh Adib, M. Soltani, Amir Reza Razmi, Jatin Nathwani. Transient thermodynamic modeling and economic analysis of an adiabatic compressed air energy storage (A-CAES) based on cascade packed bed thermal energy storage with encapsulated phase change materials. Energy Conversion and Management. 2021; 243 ():114379.

Chicago/Turabian Style

Shadi Bashiri Mousavi; Mahdieh Adib; M. Soltani; Amir Reza Razmi; Jatin Nathwani. 2021. "Transient thermodynamic modeling and economic analysis of an adiabatic compressed air energy storage (A-CAES) based on cascade packed bed thermal energy storage with encapsulated phase change materials." Energy Conversion and Management 243, no. : 114379.

Review
Published: 19 May 2021 in Cancers
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Application of drugs in high doses has been required due to the limitations of no specificity, short circulation half-lives, as well as low bioavailability and solubility. Higher toxicity is the result of high dosage administration of drug molecules that increase the side effects of the drugs. Recently, nanomedicine, that is the utilization of nanotechnology in healthcare with clinical applications, has made many advancements in the areas of cancer diagnosis and therapy. To overcome the challenge of patient-specificity as well as time- and dose-dependency of drug administration, artificial intelligence (AI) can be significantly beneficial for optimization of nanomedicine and combinatorial nanotherapy. AI has become a tool for researchers to manage complicated and big data, ranging from achieving complementary results to routine statistical analyses. AI enhances the prediction precision of treatment impact in cancer patients and specify estimation outcomes. Application of AI in nanotechnology leads to a new field of study, i.e., nanoinformatics. Besides, AI can be coupled with nanorobots, as an emerging technology, to develop targeted drug delivery systems. Furthermore, by the advancements in the nanomedicine field, AI-based combination therapy can facilitate the understanding of diagnosis and therapy of the cancer patients. The main objectives of this review are to discuss the current developments, possibilities, and future visions in naoinformatics, for providing more effective treatment for cancer patients.

ACS Style

Madjid Soltani; Farshad Moradi Kashkooli; Mohammad Souri; Samaneh Zare Harofte; Tina Harati; Atefeh Khadem; Mohammad Haeri Pour; Kaamran Raahemifar. Enhancing Clinical Translation of Cancer Using Nanoinformatics. Cancers 2021, 13, 2481 .

AMA Style

Madjid Soltani, Farshad Moradi Kashkooli, Mohammad Souri, Samaneh Zare Harofte, Tina Harati, Atefeh Khadem, Mohammad Haeri Pour, Kaamran Raahemifar. Enhancing Clinical Translation of Cancer Using Nanoinformatics. Cancers. 2021; 13 (10):2481.

Chicago/Turabian Style

Madjid Soltani; Farshad Moradi Kashkooli; Mohammad Souri; Samaneh Zare Harofte; Tina Harati; Atefeh Khadem; Mohammad Haeri Pour; Kaamran Raahemifar. 2021. "Enhancing Clinical Translation of Cancer Using Nanoinformatics." Cancers 13, no. 10: 2481.

Review
Published: 19 May 2021 in Polymers
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Liquid crystal elastomers (LCEs) are a type of material with specific features of polymers and of liquid crystals. They exhibit interesting behaviors, i.e., they are able to change their physical properties when met with external stimuli, including heat, light, electric, and magnetic fields. This behavior makes LCEs a suitable candidate for a variety of applications, including, but not limited to, artificial muscles, optical devices, microscopy and imaging systems, biosensor devices, and optimization of solar energy collectors. Due to the wide range of applicability, numerical models are needed not only to further our understanding of the underlining mechanics governing LCE behavior, but also to enable the predictive modeling of their behavior under different circumstances for different applications. Given that several mainstream methods are used for LCE modeling, viz. finite element method, Monte Carlo and molecular dynamics, and the growing interest and reliance on computer modeling for predicting the opto-mechanical behavior of complex structures in real world applications, there is a need to gain a better understanding regarding their strengths and weaknesses so that the best method can be utilized for the specific application at hand. Therefore, this investigation aims to not only to present a multitude of examples on numerical studies conducted on LCEs, but also attempts at offering a concise categorization of different methods based on the desired application to act as a guide for current and future research in this field.

ACS Style

Madjid Soltani; Kaamran Raahemifar; Arman Nokhosteen; Farshad Kashkooli; Elham Zoudani. Numerical Methods in Studies of Liquid Crystal Elastomers. Polymers 2021, 13, 1650 .

AMA Style

Madjid Soltani, Kaamran Raahemifar, Arman Nokhosteen, Farshad Kashkooli, Elham Zoudani. Numerical Methods in Studies of Liquid Crystal Elastomers. Polymers. 2021; 13 (10):1650.

Chicago/Turabian Style

Madjid Soltani; Kaamran Raahemifar; Arman Nokhosteen; Farshad Kashkooli; Elham Zoudani. 2021. "Numerical Methods in Studies of Liquid Crystal Elastomers." Polymers 13, no. 10: 1650.

Encyclopedia
Published: 29 April 2021 in Reference Module in Earth Systems and Environmental Sciences
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In this article, energy, exergy and key thermodynamic parameters are evaluated and a techno-economic evaluation of CAES is developed with a more specialized focus on diabatic CAES assemblies that have been commercialized worldwide. The Huntorf and McIntosh plants, as two operating diabatic CAES plants representing a mature technology as technically and economically viable in current markets, are investigated in detail. Options that would enhance the plants’ round-trip efficiency (RTE), parameters that affect the efficiency and initial cost of the plant and reduce fuel consumption are identified. At the end, options of plant hybridization to increase efficiency are highlighted.

ACS Style

M. Soltani; Farshad Moradi Kashkooli; Heidar Jafarizadeh; Mohammad Hatefi; Hadi Fekri; Kobra Gharali; Jatin Nathwani. Diabatic Compressed Air Energy Storage (CAES) Systems: State of the Art. Reference Module in Earth Systems and Environmental Sciences 2021, 1 .

AMA Style

M. Soltani, Farshad Moradi Kashkooli, Heidar Jafarizadeh, Mohammad Hatefi, Hadi Fekri, Kobra Gharali, Jatin Nathwani. Diabatic Compressed Air Energy Storage (CAES) Systems: State of the Art. Reference Module in Earth Systems and Environmental Sciences. 2021; ():1.

Chicago/Turabian Style

M. Soltani; Farshad Moradi Kashkooli; Heidar Jafarizadeh; Mohammad Hatefi; Hadi Fekri; Kobra Gharali; Jatin Nathwani. 2021. "Diabatic Compressed Air Energy Storage (CAES) Systems: State of the Art." Reference Module in Earth Systems and Environmental Sciences , no. : 1.

Journal article
Published: 07 April 2021 in Carbohydrate Polymers
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In this study, magnetic core/chitosan shell Nanoparticles (NPs) containing cisplatin were synthesized via cisplatin complexation with tripolyphosphate as the chitosan crosslinker using two different procedures: a conventional batch flow method and a microfluidic approach. An integrated microfluidic device composed of three stages was developed to provide precise and highly controllable mixing. The comparison of the results revealed that NPs synthesized in microchannels were monodisperse 104 ± 14.59 nm (n = 3) in size with optimal morphological characteristics, whereas polydisperse 423 ± 53.33 nm (n = 3) nanoparticles were obtained by the conventional method. Furthermore, cisplatin was loaded in NPs without becoming inactivated, and the microfluidic technique demonstrated higher encapsulation efficiency, controlled release, and consequently lower IC50 values during exposure to the A2780 cell line proving that microfluidic synthesized NPs were able to enter the cells and release the drug more efficiently. The developed microfluidic platform presents valuable features that could potentially provide the clinical translation of NPs in drug delivery.

ACS Style

Saeed Siavashy; Madjid Soltani; Fatemeh Ghorbani-Bidkorbeh; Newsha Fallah; Golrokh Farnam; Seyed Alireza Mortazavi; Farshad H. Shirazi; Mohammad Hassan Houshdar Tehrani; Mohammad Hossein Hamedi. Microfluidic platform for synthesis and optimization of chitosan-coated magnetic nanoparticles in cisplatin delivery. Carbohydrate Polymers 2021, 265, 118027 .

AMA Style

Saeed Siavashy, Madjid Soltani, Fatemeh Ghorbani-Bidkorbeh, Newsha Fallah, Golrokh Farnam, Seyed Alireza Mortazavi, Farshad H. Shirazi, Mohammad Hassan Houshdar Tehrani, Mohammad Hossein Hamedi. Microfluidic platform for synthesis and optimization of chitosan-coated magnetic nanoparticles in cisplatin delivery. Carbohydrate Polymers. 2021; 265 ():118027.

Chicago/Turabian Style

Saeed Siavashy; Madjid Soltani; Fatemeh Ghorbani-Bidkorbeh; Newsha Fallah; Golrokh Farnam; Seyed Alireza Mortazavi; Farshad H. Shirazi; Mohammad Hassan Houshdar Tehrani; Mohammad Hossein Hamedi. 2021. "Microfluidic platform for synthesis and optimization of chitosan-coated magnetic nanoparticles in cisplatin delivery." Carbohydrate Polymers 265, no. : 118027.

Journal article
Published: 22 February 2021 in Energies
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Adaptive and flexible control techniques have recently been examined as methods of controlling flow and reducing the potential noise in vertical axis wind turbines. Two-Dimensional (2D) fluid flow simulation around rod-airfoil is addressed in this study as a simple component of the wind turbine by using Unsteady Reynolds Averaged Navier–Stokes (URANS) equations for prediction of noise using Ffowcs Williams-Hawkings (FW-H) analogy. To control the flow and reduce noise, the active controlling vibration rod method is utilized with a maximum displacement ranging from 0.01 C to 1 C (C: airfoil chord). Acoustic assessment indicates that the leading edge of the blade produces noise, that by applying vibration in cylinder, blade noise in 0.1 C and 1 C decreases by 22 dB and 35 dB, respectively. Applying vibration is aerodynamically helpful since it reduces the fluctuations in the airfoil lift force by approximately 48% and those in the rod by about 46%. Strouhal assessment (frequency) shows that application of control is accompanied by 20% increase. Applying vibration in the rod reduces the flow fluctuations around the blade, thus reduces the wind turbine blade noise. This idea, as a simple example, can be used to study the incoming flow to turbines and their blades that are affected by the upstream flow.

ACS Style

Mohammad Souri; Farshad Moradi Kashkooli; Madjid Soltani; Kaamran Raahemifar. Effect of Upstream Side Flow of Wind Turbine on Aerodynamic Noise: Simulation Using Open-Loop Vibration in the Rod in Rod-Airfoil Configuration. Energies 2021, 14, 1170 .

AMA Style

Mohammad Souri, Farshad Moradi Kashkooli, Madjid Soltani, Kaamran Raahemifar. Effect of Upstream Side Flow of Wind Turbine on Aerodynamic Noise: Simulation Using Open-Loop Vibration in the Rod in Rod-Airfoil Configuration. Energies. 2021; 14 (4):1170.

Chicago/Turabian Style

Mohammad Souri; Farshad Moradi Kashkooli; Madjid Soltani; Kaamran Raahemifar. 2021. "Effect of Upstream Side Flow of Wind Turbine on Aerodynamic Noise: Simulation Using Open-Loop Vibration in the Rod in Rod-Airfoil Configuration." Energies 14, no. 4: 1170.

Review article
Published: 01 February 2021 in Renewable and Sustainable Energy Reviews
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Geothermal Energy (GE) is a non-carbon renewable source of sustainable energy with untapped potential for mitigating the threat of climate change. To achieve a sustainable pathway for development, evaluation of technical and economic constraints must be addressed within a framework of environmental governance and social and legal challenges that arise during implementing of geothermal projects. Key barriers to deployment of geothermal resources on a wide scale include high capital costs, location and quality of resource at different depths and opposition by local communities. Here we provide a detailed review of the barriers, identify credible solutions and highlight options for enhancing geothermal capacity and energy production on a global scale required to meet ‘net-zero’ carbon emission targets. Globally by 2050 as part of a strategy to reduce greenhouse gases. This study is a valid source for upcoming studies and implementations by analyzing the influential factors on the development and future of geothermal energy.

ACS Style

M. Soltani; Farshad Moradi Kashkooli; Mohammad Souri; Behnam Rafiei; Mohammad Jabarifar; Kobra Gharali; Jatin S. Nathwani. Environmental, economic, and social impacts of geothermal energy systems. Renewable and Sustainable Energy Reviews 2021, 140, 110750 .

AMA Style

M. Soltani, Farshad Moradi Kashkooli, Mohammad Souri, Behnam Rafiei, Mohammad Jabarifar, Kobra Gharali, Jatin S. Nathwani. Environmental, economic, and social impacts of geothermal energy systems. Renewable and Sustainable Energy Reviews. 2021; 140 ():110750.

Chicago/Turabian Style

M. Soltani; Farshad Moradi Kashkooli; Mohammad Souri; Behnam Rafiei; Mohammad Jabarifar; Kobra Gharali; Jatin S. Nathwani. 2021. "Environmental, economic, and social impacts of geothermal energy systems." Renewable and Sustainable Energy Reviews 140, no. : 110750.

Journal article
Published: 19 January 2021 in Energy
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Wind speed fluctuation at wind farms leads to intermittent and unstable power generation with diverse amplitudes and frequencies. Compressed air energy storage (CAES) is an energy storage technology which not only copes with the stochastic power output of wind farms, but it also assists in peak shaving and provision of other ancillary grid services. In this paper, a CAES facility is proposed for two adjacent wind farms, Abhar and Kahak sites in Iran, with a total nominal power of 162.5 MW. To assess site peak profiles and storage potential, annual thermodynamic and wind assessments are carried out predominantly for the three critical months of the year requiring mitigation of electricity scarcity (July, August, and September). Results indicate that the sustained wind speed in July at both the Abhar and Kahak sites is higher than the other two critical months. Around 93, 74 and 60 MW stored power in the CAES facility are added to the grid during 5 h of peak demand in July, August and September months with round trip efficiencies of 52, 47, and 43%, respectively.

ACS Style

Amir Reza Razmi; M. Soltani; Armin Ardehali; Kobra Gharali; M.B. Dusseault; Jatin Nathwani. Design, thermodynamic, and wind assessments of a compressed air energy storage (CAES) integrated with two adjacent wind farms: A case study at Abhar and Kahak sites, Iran. Energy 2021, 221, 119902 .

AMA Style

Amir Reza Razmi, M. Soltani, Armin Ardehali, Kobra Gharali, M.B. Dusseault, Jatin Nathwani. Design, thermodynamic, and wind assessments of a compressed air energy storage (CAES) integrated with two adjacent wind farms: A case study at Abhar and Kahak sites, Iran. Energy. 2021; 221 ():119902.

Chicago/Turabian Style

Amir Reza Razmi; M. Soltani; Armin Ardehali; Kobra Gharali; M.B. Dusseault; Jatin Nathwani. 2021. "Design, thermodynamic, and wind assessments of a compressed air energy storage (CAES) integrated with two adjacent wind farms: A case study at Abhar and Kahak sites, Iran." Energy 221, no. : 119902.

Journal article
Published: 16 January 2021 in Journal of Drug Delivery Science and Technology
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This study uses a multi-scale computational model to assess drug delivery to a solid tumor and to predict the treatment's efficacy. A geometric model of the tumor and the capillary network are obtained by extracting the geometry through processing a real image. Next, the equations related to intravascular and interstitial flows as well as drug transport in the tissue are solved by considering real conditions as well as details such as drug binding to cells and cellular uptake. The study results show values of about 34.71% and 5.27% for the fraction of killed cells (FKCs) for tumor cells and normal tissue cells, respectively. Examining eight different modes for inlet and outlet pressures of parent vessels shows that the difference between the maximum and minimum FKCs is about 7.37%, and the side effects for all modes are almost the same. For this geometry, a comparison of two tumor shapes illustrates that circular tumors are more easily eradicated than elliptical ones. Evaluating tumor treatments based on the fraction of surviving cells (FSCs) shows that after eight sequential treatment stages at 15-day intervals, 7.78% of tumor cells remain, and about 16% of healthy tissue cells have been damaged by the treatment. Reducing the size of larger tumors is found to be much easier than reducing the size of smaller ones; therefore, the best way to eliminate small tumors is to use adjuvant therapy. The proposed approach can help drug designers decide on new drugs by considering treatment outcomes, and can also help oncologists plan the best treatment for each patient by evaluating treatment responses.

ACS Style

Farshad Moradi Kashkooli; M. Soltani; Mohammad Masoud Momeni. Computational modeling of drug delivery to solid tumors: A pilot study based on a real image. Journal of Drug Delivery Science and Technology 2021, 62, 102347 .

AMA Style

Farshad Moradi Kashkooli, M. Soltani, Mohammad Masoud Momeni. Computational modeling of drug delivery to solid tumors: A pilot study based on a real image. Journal of Drug Delivery Science and Technology. 2021; 62 ():102347.

Chicago/Turabian Style

Farshad Moradi Kashkooli; M. Soltani; Mohammad Masoud Momeni. 2021. "Computational modeling of drug delivery to solid tumors: A pilot study based on a real image." Journal of Drug Delivery Science and Technology 62, no. : 102347.

Journal article
Published: 03 January 2021 in Sustainability
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Transmission and spread of exhaled contaminants in the air may cause many airborne infectious diseases. In addition to appropriate ventilation, air cleaner devices are used as one of the most common ways to improve the indoor air quality. Therefore, it is necessary to understand the performance of an air cleaner under different operating conditions. This study mainly concerns investigating the effect of presence or absence of furniture and its displacement on the removal rate of the particles leaving a person’s mouth while coughing in an isolated room. Moreover, the effect of air exit angle of the device on removal rate of contaminated particles and the pattern of their dispersion within a room was studied. To this aim, computational fluid dynamics were employed to examine the mentioned effects by using the Eulerian− Lagrangian method. As the results indicated, when the furniture was placed farther away from the device, more particles were removed by the device. Additionally, the air ejection angle of the air cleaner device significantly affects the removal of particles. Results of the present study could improve use of air cleaner devices for maximum reduction of particles in the indoor environment.

ACS Style

Farshad Moradi Kashkooli; Mostafa Sefidgar; M. Soltani; Shahab Anbari; Seyed-Amir Shahandashti; Bahram Zargar. Numerical Assessment of an Air Cleaner Device under Different Working Conditions in an Indoor Environment. Sustainability 2021, 13, 369 .

AMA Style

Farshad Moradi Kashkooli, Mostafa Sefidgar, M. Soltani, Shahab Anbari, Seyed-Amir Shahandashti, Bahram Zargar. Numerical Assessment of an Air Cleaner Device under Different Working Conditions in an Indoor Environment. Sustainability. 2021; 13 (1):369.

Chicago/Turabian Style

Farshad Moradi Kashkooli; Mostafa Sefidgar; M. Soltani; Shahab Anbari; Seyed-Amir Shahandashti; Bahram Zargar. 2021. "Numerical Assessment of an Air Cleaner Device under Different Working Conditions in an Indoor Environment." Sustainability 13, no. 1: 369.

Journal article
Published: 30 December 2020 in Energies
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In this study, a numerical and empirical scheme for increasing cooling tower performance is developed by combining the particle swarm optimization (PSO) algorithm with a neural network and considering the packing’s compaction as an effective factor for higher accuracies. An experimental setup is used to analyze the effects of packing compaction on the performance. The neural network is optimized by the PSO algorithm in order to predict the precise temperature difference, efficiency, and outlet temperature, which are functions of air flow rate, water flow rate, inlet water temperature, inlet air temperature, inlet air relative humidity, and packing compaction. The effects of water flow rate, air flow rate, inlet water temperature, and packing compaction on the performance are examined. A new empirical model for the cooling tower performance and efficiency is also developed. Finally, the optimized performance conditions of the cooling tower are obtained by the presented correlations. The results reveal that cooling tower efficiency is increased by increasing the air flow rate, water flow rate, and packing compaction.

ACS Style

Hasan Alimoradi; Madjid Soltani; Pooriya Shahali; Farshad Moradi Kashkooli; Razieh Larizadeh; Kaamran Raahemifar; Mohammad Adibi; Behzad Ghasemi. Experimental Investigation on Improvement of Wet Cooling Tower Efficiency with Diverse Packing Compaction Using ANN-PSO Algorithm. Energies 2020, 14, 167 .

AMA Style

Hasan Alimoradi, Madjid Soltani, Pooriya Shahali, Farshad Moradi Kashkooli, Razieh Larizadeh, Kaamran Raahemifar, Mohammad Adibi, Behzad Ghasemi. Experimental Investigation on Improvement of Wet Cooling Tower Efficiency with Diverse Packing Compaction Using ANN-PSO Algorithm. Energies. 2020; 14 (1):167.

Chicago/Turabian Style

Hasan Alimoradi; Madjid Soltani; Pooriya Shahali; Farshad Moradi Kashkooli; Razieh Larizadeh; Kaamran Raahemifar; Mohammad Adibi; Behzad Ghasemi. 2020. "Experimental Investigation on Improvement of Wet Cooling Tower Efficiency with Diverse Packing Compaction Using ANN-PSO Algorithm." Energies 14, no. 1: 167.

Review article
Published: 24 December 2020 in Nano Today
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In cancer, one of the main barriers to effective chemotherapy is inefficient drug delivery. The delivery of drugs to solid tumors involves various biochemical, biophysical, and mechanical processes, occurring over a wide range of length and time scales. Nanotechnology-based research in targeted drug delivery to solid tumors has led to a breakthrough in cancer treatment. However, many challenges remain related to inadequate tissue penetration, ineffective tumoral distribution, insufficient accumulation of drugs, loss of targeting ability, and various safety concerns. Mathematical and computational modeling allows for controlled study of these processes which is often not possible, or not economical, through empirical methods. Different computational models have been used to simulate nano-sized-drug delivery to solid tumors in order to investigate efficacy, understand biological phenomena, and select optimal anticancer treatment strategies. These models are classified as: discrete (quantum mechanics, molecular dynamics, Monte Carlo, and coarse-grained), continuous (pharmacokinetic/pharmacodynamics, finite element, and finite volume), or hybrid models. Using in vivo and in silico models, this paper reviews several key issues related to the use of nanoparticles as anticancer drug delivery vehicles: specifically, injection into the circulatory system, transvascular extravasation, distribution in the interstitium, cellular uptake, and drug release from nanocarriers. Adjustable nanocarrier design parameters, static targeting strategies (active/passive), and dynamic targeting strategies (internal/external stimuli-responsive) for nano-sized-drug delivery systems are discussed. Further, endogenous- and exogenous-based stimuli-responsive nano-engineered drug delivery systems are introduced for timed, destination-specific drug release. Clinical translation of nanomedicine can be accelerated through the integration of mathematical modeling techniques with modern imaging techniques and in vitro technologies.

ACS Style

Farshad Moradi Kashkooli; M. Soltani; Mohammad Souri; Cameron Meaney; Mohammad Kohandel. Nexus between in silico and in vivo models to enhance clinical translation of nanomedicine. Nano Today 2020, 36, 101057 .

AMA Style

Farshad Moradi Kashkooli, M. Soltani, Mohammad Souri, Cameron Meaney, Mohammad Kohandel. Nexus between in silico and in vivo models to enhance clinical translation of nanomedicine. Nano Today. 2020; 36 ():101057.

Chicago/Turabian Style

Farshad Moradi Kashkooli; M. Soltani; Mohammad Souri; Cameron Meaney; Mohammad Kohandel. 2020. "Nexus between in silico and in vivo models to enhance clinical translation of nanomedicine." Nano Today 36, no. : 101057.

Review
Published: 18 December 2020 in Pharmaceutics
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During recent decades, researchers all around the world have focused on the characteristic pros and cons of the different drug delivery systems for cornea tissue change for sense organs. The delivery of various drugs for cornea tissue is one of the most attractive and challenging activities for researchers in biomaterials, pharmacology, and ophthalmology. This method is so important for cornea wound healing because of the controllable release rate and enhancement in drug bioavailability. It should be noted that the delivery of various kinds of drugs into the different parts of the eye, especially the cornea, is so difficult because of the unique anatomy and various barriers in the eye. Nanoparticles are investigated to improve drug delivery systems for corneal disease. Biodegradable nanocarriers for repeated corneal drug delivery is one of the most attractive and challenging methods for corneal drug delivery because they have shown acceptable ability for this purpose. On the other hand, by using these kinds of nanoparticles, a drug could reside in various part of the cornea for longer. In this review, we summarized all approaches for corneal drug delivery with emphasis on the biodegradable nanoparticles, such as liposomes, dendrimers, polymeric nanoparticles, niosomes, microemulsions, nanosuspensions, and hydrogels. Moreover, we discuss the anatomy of the cornea at first and gene therapy at the end.

ACS Style

MohammadMahdi Mobaraki; Madjid Soltani; Samaneh Zare Harofte; Elham L. Zoudani; Roshanak Daliri; Mohamadreza Aghamirsalim; Kaamran Raahemifar. Biodegradable Nanoparticle for Cornea Drug Delivery: Focus Review. Pharmaceutics 2020, 12, 1232 .

AMA Style

MohammadMahdi Mobaraki, Madjid Soltani, Samaneh Zare Harofte, Elham L. Zoudani, Roshanak Daliri, Mohamadreza Aghamirsalim, Kaamran Raahemifar. Biodegradable Nanoparticle for Cornea Drug Delivery: Focus Review. Pharmaceutics. 2020; 12 (12):1232.

Chicago/Turabian Style

MohammadMahdi Mobaraki; Madjid Soltani; Samaneh Zare Harofte; Elham L. Zoudani; Roshanak Daliri; Mohamadreza Aghamirsalim; Kaamran Raahemifar. 2020. "Biodegradable Nanoparticle for Cornea Drug Delivery: Focus Review." Pharmaceutics 12, no. 12: 1232.

Journal article
Published: 09 December 2020 in Energy Conversion and Management
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One significant obstacle to the adoption of geothermal heat pump (GHP) technology is the installation costs of geothermal heat exchangers (GHE). Cost reduction through optimization of system parameter offers the potential for increased applications. In the current work, five major parameters are considered: length, radius, well numbers, the flow discharge inside the pipe, and the pipe's external radius for optimization using a genetic algorithm (GA) for a residential building in hot climatic conditions. In addition, system optimization is critical in determining values of design parameters for assessing the impact different circulating fluids on the energy consumption of GHP. A ten-year simulation is undertaken to evaluate the capacity of various circulating fluids and their effects on energy consumption reduction. The simulation shows a significant decrease in energy consumption based on varying levels of Ethylene glycol, Methanol, Potassium acetate, Sodium chloride, Freezium™ compared to pure Water in the GHP. The COP of the GHP system is also calculated with different circulating fluids. In addition, the circulating fluid with the highest performance loss during ten years of operation is identified. Based on the results, Ethylene glycol is selected as the preferred solution for use in the GHP. In the present study, we have also established the optimum configuration of GHEs according to a reliable evolutionary algorithm for investigating the effect of various circulating fluids on the system's energy consumption.

ACS Style

M. Soltani; Pooya Farzanehkhameneh; Farshad Moradi Kashkooli; Armughan Al-Haq; Jatin Nathwani. Optimization and energy assessment of geothermal heat exchangers for different circulating fluids. Energy Conversion and Management 2020, 228, 113733 .

AMA Style

M. Soltani, Pooya Farzanehkhameneh, Farshad Moradi Kashkooli, Armughan Al-Haq, Jatin Nathwani. Optimization and energy assessment of geothermal heat exchangers for different circulating fluids. Energy Conversion and Management. 2020; 228 ():113733.

Chicago/Turabian Style

M. Soltani; Pooya Farzanehkhameneh; Farshad Moradi Kashkooli; Armughan Al-Haq; Jatin Nathwani. 2020. "Optimization and energy assessment of geothermal heat exchangers for different circulating fluids." Energy Conversion and Management 228, no. : 113733.