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Showing 7 results for Rasoolzadeh


Volume 8, Issue 1 (Winter 2020)
Abstract

Aims: It has been shown that hope plays an important role to recovery process from illness and has strong psychological benefits for patients to cope more effectively with their disease. The purpose of this study was the prediction of hope based on forgiveness and religious beliefs among leukemia patients.
Materials & Methods: This descriptive-correlational study was conducted on 205 volunteer leukemia patients who were admitted in Tehran hospitals in 2018. Patients were selected by convenience sampling method. The data were collected using The Centrality of Religiosity Scale (CRS), Adult Hope Scale (AHS), and The Heartland Forgiveness Scale (HFS). Date were analyzed by SPSS 23 software using Pearson correlation test and linear regression analysis.
Findings: There was a positive significant correlation between forgiveness (r=0.552) and religious beliefs (r=0.182) with hope (p<0.01). Also 30.6% of variance of hope was explained by religious beliefs and forgiveness (p<0.01).
Conclusion: Forgiveness and religious beliefs are predictor factors of hope in leukemia patients.


Volume 11, Issue 1 (Winter 2020)
Abstract

The interactions between carbon nanotubes (CNTs) and proteins were considered much attention. Advanced CNT applied biomolecules require mutual understanding of their interactions with biological molecules. Enhanced biomedical applications of CNTs have necessitated the need for the understanding their interaction with biomolecules. Non-covalent interactions of blood peptides, such as hepcidin, with carbon nanotubes, have important effects in a wide range of biological applications that are detected by analyzing the thermodynamic parameters of the interaction between CNTs and peptides. In addition, the effects of different parameters in order to evaluate how the interaction of CNTs with peptide affects and structural changes and stability of peptides were studied. In this study, based on molecular dynamics (MD) simulation, the structural changes of hepcidin 20 in interaction with multi walled carbon nanotubes (MWCNTs-COOH ) were investigated. The simulation results revealed that carbon nanotubes cause to loose the hepcidin structure and make structural changes in this peptide. On the other hand, the loose of the hepcidin structure may lead to a change in its activity. The results indicated that significant changes were made in the structure of hepcidin 20 in the presence of carbon nanotubes. The difference of parameter amounts calculated in heptidine 20 is related to their N-terminal, and loop regions.  
Dr. Maryam Rasoolzadeh, Dr. Mohammad Moshari,
Volume 11, Issue 1 (Spring 2021)
Abstract

Aims: A new generation of building materials is produced using computing and digital methods. Recombinant building materials have created new perspectives. The main purpose of research is to study, analyze and prioritize the computing of new materials in accordance with environment. The practical purpose of the research is to explain the concept and present strategies based on the use of appropriate materials to achieve the model of "healthy city".
Methods: It is qualitative-quantitative research in terms of methodology. Qualitative steps lead to the explanation of the conceptual framework of the research, and quantitative steps lead to prioritization of the strategies base on online questionnaire. Kappa coefficient has been used to confirm the reliability. A total of 386 questionnaires were collected and the results were analyzed using Spearman correlation.
Findings: Among the ten items extracted about the new materials used, four items with a high degree of significance were obtained: 1- Exposure to direct sunlight, 2- Material health (MSDS), 3- Ease of replacement and replacement, and 4- Degree of moisture absorption, respectively. 
Conclusion: The increasing risk of pandemics shows that the concept of the healthy city is not possible without the computing of new materials; an interdisciplinary field that requires a combined approach of green chemistry, biocomputing and materials-based computing. Computing new materials is an effective way to achieve the healthy city which is in need of "environmental education" and the "healthy city management" skill development.
Ghazaleh Shams, Maryam Rasoolzadeh,
Volume 12, Issue 4 (Winter 2023)
Abstract

Aims: In the indoor space, the temperature and relative humidity are often controlled and even without the use of heating and cooling systems, the temperature and relative humidity changes in the indoor space are less than the outdoor space. Buildings are relatively protected against pollutants of external origin. The main problem of the research is to analyze and investigate the environmental effects of exposure to particles and gases that are released or produced inside the house; And especially the effect of these pollutants on the health of residents.

Methods: The research method of this study is based on logical reasoning. The scientific foundations of the subject are analyzed with a quasi-experimental approach, and the results are presented with the combined modeling method. In terms of methodology, in this research, chemical reactions carried out in indoor spaces are investigated. In this direction, the mechanisms and kinetics of reactions, the characteristics of different surfaces and the effect of factors such as light and temperature
will be investigated.


Findings: A healthy environment is a prerequisite for a healthy life for residents; This is as important in closed spaces as in open and semi-open spaces. Research
findings emphasize the special importance of micropollutants and their impact on residents' health.


Conclusion: Clarifying the importance and role of building materials in indoor air health is one of the most important achievements of this research. An achievement that above all emphasizes the importance of environmental education in promoting healthy buildings, bio-computing and the use of environmentally friendly materials.
Maryam Rasoolzadeh, Mohammad Moshari,
Volume 13, Issue 3 (Fall 2023)
Abstract

Aims: The main purpose of this article is to introduce the model of healthy building in the interaction of choosing building materials and healthy environment. In this regard, high throughput screening used in construction materials for possible human exposure in the near field and related health risks, identification of chemicals and products of interest to inform risk reduction efforts has been carried out.
methods: The research methodology is based on the theoretical saturation of the research background and the opinions of experts in the field of health of residents at home and at work. Using high throughput screening, hazardous chemicals in the construction industry were identified, and based on the theoretical saturation of the research background and the opinions of experts in the health of residents at home and at work, a focused group discussion method was used.
Findings: Comparing the quality of "healthy building" with three variables of building chemistry, building biology and building physics; and "residents' opinion" with three variables of energy efficiency, residents' satisfaction and residents' health; has been analyzed. The findings of the focused group discussion method clarified various dimensions of the relationship between building chemistry and the health of residents at home and at work.
Conclusion: Designers and manufacturers of building products must actively track and manage the chemical composition of their materials and assess the potential impacts of the chemicals of interest throughout their life cycle. High-throughput screening can provide accessible and rapid tools for such evaluations at the design stage.
 
Paria Taheri, Maryam Rasoolzadeh,
Volume 14, Issue 2 (Summer 2024)
Abstract

Aims: AI an emerging phenomenon revolutionized the the interior architecture design process, especially in the post-corona era, when the concept of "healthy building" has become more important. The research aims to show the privileged role of AI in creating interaction between "interior architecture" and the concept of healthy building.

Methods: The methodology of the research is based on meta-analysis based on the theory of master architecture. Meta-analysis or meta-analysis, emphasizing the statistical combination of the results of several studies, covers a large part of the analytical literature in the field of the role of artificial intelligence in interior architecture. Based on the selected research approach, in data extraction, combined methods of machine calculations such as hybrid meta-simulation, clustering, prospective interpretation of variables and extraction of effect size, variance and regression have been used.

Findings: Numerical results and quantitative findings in the review of tools developed in the field of interior architecture show that the most developed tools are related to the initial stages of design, followed by the tools related to the operation stage, and then the related tools. to the final stages of architectural design.

Conclusion: The qualitative results of the research show that the set of tools developed in the field of interior architecture do not have high analytical accuracy, for this reason, it is more logical to use them in the idea generation stage. Also, the tools developed in the second part are related to the field of building chemistry, residents' health, biocomputing, etc.
Paria Taheri, Maryam Rasoolzadeh,
Volume 15, Issue 2 (In Press Summer 2025)
Abstract

Aims: The development of AI tools in interior architecture has brought both opportunities and challenges. The primary objective of this research is to highlight the weaknesses and shortcomings in the professional application of artificial intelligence-based tools in interior architecture. The second objective is to introduce and explain the role of agent-based systems in enhancing the efficiency of artificial intelligence tools in interior architecture.

Methods: This research employs a descriptive-analytical method as its primary approach. In the descriptive phase, data were collected from existing sources to examine the impact of artificial intelligence on the interior design process. Subsequently, a questionnaire was designed to gather designers' opinions regarding the influence of artificial intelligence on interior architecture and the role of designers. The collected data were then statistically analyzed using SPSS.

Findings: More than 80% of the surveyed interior architects were familiar with artificial intelligence tools, with most identifying Midjourney as a key tool that reduces time and increases efficiency. The most significant challenges identified pertain to the healthy building domain, particularly in relation to indoor air quality, environmentally friendly materials, and the comfort and ergonomics of spaces.

Conclusion: The qualitative findings of this research indicate that agent-based systems play a crucial role in enhancing the efficiency of artificial intelligence tools in the interior architecture process. This is particularly important in the healthy building domain, as it provides a comprehensive model for understanding the interaction between Bauphysik, Bauchemie, Baubiologie, environmentally friendly materials, and occupant health.
 

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