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The purpose of this study was to evaluate the possibility of using conductive polymers such as polyaniline (PANI) as corrosion inhibitors for metals.

In this study, the effect of the addition of praseodymium (Pr³⁺) cations on the corrosion inhibition performance of PANI for AZ31 magnesium alloy was appraised through electrochemical impedance spectroscopy (EIS) and potentiodynamic polarization tests.

The results of EIS and potentiodynamic polarization tests indicated the improvement of corrosion resistance of AZ31 during different immersion times.

This anti-corrosion ability of PANI/Pr³⁺ composite applies as non-toxic environmentally friendly corrosion inhibitor on the self-healing corrosion protection properties.

The conductive polymers are interested for many industries. The reported data can be used by the formulators working in the R&D departments.

The anti-corrosion ability of PANI/Pr³⁺ composite present a novel and high effective route against metal corrosion besides application of toxic corrosion.

The application of titanium dioxide coating in the field of architectural heritage is a great challenge. Therefore, the main objective of this study is to study the synthesis, characterization and corrosion inhibition performance of Pr³⁺ cations doped PANI nano-fibers as an anti-corrosion additive for AZ31 magnesium alloy in 3.5 Wt.% NaCl solution.

This study aims to investigate the psychometric properties of the social communication questionnaire (SCQ) in Iran by identifying children with autism spectrum disorder (ASD) who had Persian-speaking parents.

A case–control study was performed from June to August 2021 in Hamadan, Iran. The case group consisted of children who were examined by clinicians who used a coding scheme based on the DSM-V criteria for ASD by a psychiatrist. The control group consisted of non-ASD children who were asked to participate in the study. This study conducted the reliability, content and face validity to evaluate the psychometric properties of the tool. In the first step, Kaiser–Meyer–Olkin and Bartlett’s test were used to determine sampling adequacy and appropriateness of correlation matrix. In the second step, the exploratory factor analysis approach was used. The method of extracting the factors is done by using the varimax rotation method and selecting the number of factors using an eigenvalue and scree plot. Statistical analysis was performed using Software Package for Social Sciences 21 with the statistical significance set at level less than 0.05.

The quantitative content validity analysis revealed that the mean of content validity ratio and content validity index were 0.92 and 0.91, respectively. Mean score ± standard deviation in the two groups of ASD and control were 14.23 ± 3.84 and 7.83 ± 4.80, respectively. With cut-off point >12.5, sensitivity, specificity and misclassification error values were 73.33%, 80.0% and 23%, respectively.

The results showed that the internal consistency of the SCQ is desirable. Also, the internal consistency of its five subscales was obtained between 0.700 and 0.87. The findings showed that SCQ questionnaire is highly reliable in reciprocal social interaction (Factor 1) and the total score, while other factors were relatively reliable.

To the best of the authors’ knowledge, this is the first paper on psychometric properties of SCQ in ASD children in Iran.

The ongoing economic impact of the global COVID-19 pandemic upon national and international economies has provided a novel set of challenges and barriers for organisations; particularly for small and medium enterprises (SMEs). This has led to an increased focus on sustainable decision-making and long-term survival and growth strategies, such as internationalisation opportunities, for SMEs during obscure times and fluctuating economies. Thus, examining how SMEs within ambiguous economies are adopting innovative decision-making to continue to sustain and grow their enterprises provides a vital perspective and understanding of not only enterprise survival but enterprise growth during times of economic uncertainty. This chapter proposes a conceptual framework that explores internationalisation opportunities through an intersectional lens. The framework depicts that intersectionality as an enabler during ambiguous times for Maldivian women entrepreneurs generates innovative decision-making towards internationalisation as part of sustainable growth practices. The conceptual framework offers theoretical implications for empirical studies of an inductive or deductive nature and offers pragmatic importance for women entrepreneurs considering internationalisation through sustainable growth during obscure times and fluctuating economies. This chapter contributes to the growing body of knowledge in the field of international entrepreneurship, particularly innovative decision-making, and sustainable growth through internationalisation opportunities of women entrepreneurs, whilst advancing our understanding of gender and entrepreneurship studies. Studying innovative decision-making and sustainable growth practices of women entrepreneurs additionally provides a new perspective on intersectional works within entrepreneurial growth during uncertain times.

Institutional changes, in a historical context, through simultaneous evolutionary and metamorphic processes either deform or reform long-enduring institutions. The chapter delves into the Persian history from the early days of the reign of Nāṣer al-Dīn Shāh-e Qājār in 1848 to the recent years and traces Persian institutions' historical transformations, which culminated to the Persian women entrepreneurship. Thus, the chapter first sets the historical context in each period and then sheds light on the pivotal issues of each period's women. The undergirding base of the discussions is the assumption of the change in institutions as natural metamorphosis in the animate. Finally, the discussions contribute to the conceptualization of the Institutional Triangulation and in the case of Persia, a cultural-driven triangulation, which has paved the way to the formation of a stupendously hegemonic patriarchal and masculine sociopolitical economy in Persia, that has historically affected women's institutionalization, subjugation, subordination, marginalization, socialization, emancipation, and most recently Islamization phases.

This paper deals with the combined management and design of a sustainable pharmaceutical supply chain network with considering recycling.

This paper first utilizes the analytical hierarchy process to select and rank green manufacturers. Second, the authors proposed a multi-objective nonlinear mathematical model to design a sustainable pharmaceutical supply chain network. The proposed model has been linearized and solved using the LP-metric method using GAMS software.

A real case study has been conducted in Iran. The results show that environmental and social issues can be improved while minimizing total costs.

Given the criticality and importance of drugs in human health and the importance of recycling in today's world, proper management and design of a sustainable drug supply chain are necessary. This study pays special attention to environmental issues by utilizing multi-criteria decision approaches and customer satisfaction.

Renal failure is an end-stage consequence after persistent hyperglycemia during diabetic nephropathy (DN), and the etiology of DN has been linked to oxidative stress. The purpose of this research was to determine the beneficial synergistic effects of S-Allyl Cysteine (SAC) and Taurine (TAU) on oxidative damage in the kidneys of type 2 diabetic rats induced by hyperglycemia.

Experimental diabetes was developed by administering intraperitoneal single dose of streptozotocin (STZ; 65 mg/kg) with nicotinamide (NA; 230 mg/kg) in adult rats. Diabetic and control rats were treated with SAC (150 mg/kg), TAU (200 mg/kg) or SAC and TAU combination (75 + 100 mg/kg) for four weeks. The estimation of body weight, fasting blood glucose (FBG), oral glucose tolerance test (OGTT), oxidative stress markers along with kidney histopathology was done to investigate the antidiabetic potential of SAC/TAU in the NA/STZ diabetic group.

The following results were obtained for the therapeutic efficacy of SAC/TAU: decrease in blood glucose level, decreased level of thiobarbituric acid reactive substances (TBARS) and increased levels of GSH, glutathione-s-transferase (GST) and catalase (CAT). SAC/TAU significantly modulated diabetes-induced histological changes in the kidney of rats.

SAC/TAU combination therapy modulated the oxidative stress markers in the kidney in diabetic rat model and also prevented oxidative damage as observed through histopathological findings.

This study aims to review the features and challenges of the flood relief chain, identifies administrative measures during and after the flood occurrence and prioritizes them using two machine learning (ML) and analytic hierarchy process (AHP) methods. This paper aims to provide a prioritization program based on flood conditions that optimize flood management and improves society’s resilience against flood occurrence.

The collected database in this paper has been trained by using ML algorithms, including support vector machine (SVM), Naive Bayes (NB) and k-nearest neighbors (kNN), to create a prioritization program. Furthermore, the administrative measures in two phases of during and after the flood are prioritized by using the AHP method and questionnaires completed by experts and relief workers in flood management.

Among the ML algorithms, the SVM method was selected with 91.37% accuracy. The prioritization program provided by the model, which distinguishes it from other existing models, considers five conditions of the flood occurrence to prioritize actions (season, population affected, area affected, damage to houses and human lives lost). Therefore, the model presents a specific plan for each flood with different occurrence conditions.

The main limitation is the lack of a comprehensive data set to determine the effect of all flood conditions on the prioritization program and the relief activities that have been done in previous flood disasters.

The originality of this paper is the use of ML methods to prioritize administrative measures during and after the flood and presents a prioritization program based on each flood’s conditions. Therefore, through this program, the authority and society can control the adverse impacts of flood more effectively and help to reduce human and financial losses as much as possible.

Resilience can be of assistance to paramedics in order to maintain their own mental balance in stressful work environments. Since it is not well defined which personality traits are correlated with resilience in these personnel, the purpose of this paper is to explain the relationship between personality traits and levels of resilience.

This cross-sectional study was conducted on paramedics in Eastern Iran through field research. The study participants were selected by convenience sampling method. The data collection instruments included NEO-Five Factor Inventory-Short Form and Connor-Davidson Resilience Scale. The data obtained were also analyzed using descriptive and inferential statistics (correlation and regression analysis) through the SPSS 16.0 software.

A total of 252 paramedics with a mean age of 28.9±5.1 years participated in this study. The personality traits of neuroticism (r=−0.24), openness to experience (r=−0.22), and agreeableness (r=−0.18) were significantly correlated with resilience. In contrast, extraversion (r=0.26) and conscientiousness (r=0.32) were in a significant relationship with resilience. In this respect, the given personality traits could account for 31.5 percent of changes in resilience.

It was concluded that the paramedics with lower scores of neuroticism had higher levels of resilience and they could similarly show better compliance with their work conditions in stressful situations and consequently maintain their mental health.

It is recommended to conduct psychological examinations of personality traits in recruitment and selection stages of medical emergency personnel and to implement psychological interventions for those medical emergency staff with the personality trait of neuroticism.

Resilient paramedics may also perceive less stress and it may be negatively associated with burnout.

The study examined the relationship between personality traits and resiliency in order to clarifying recruitment criteria in emergency medical services.

The purpose of this study is to identify the situation of spatial inequality in the residential system of Tehran city in terms of housing prices in the year 2021 and to examine its changes over time (1991–2021).

In terms of purpose, this study is applied research and has used a descriptive-analytical method. The statistical population of this research is the residential units in Tehran city 2021. The average per square meter of a residential unit in the level of city neighborhoods was entered in the geographical information system (GIS) in 2021. Moran’s spatial autocorrelation method, map cluster analysis (hot and cold spots) and Kriging interpolation have been used for spatial analysis of points. Then, the change in spatial inequality in the residential system of Tehran city has been studied and measured based on the price per square meter of a residential unit for 30 years in the 22 districts of Tehran by using statistical clustering based on distance with standard deviation.

The result of spatial autocorrelation analysis with a score of 0.873872 and a p-value equal to 0.000000 indicates a cluster distribution of housing prices throughout the city. The results of hot spots show that the highest concentration of hot spots (the highest price) is in the northern part of the city, and the highest concentration of cold spots (the lowest price) is in the southern part of Tehran city. Calculating the area and estimating the quantitative values of data-free points by the use of the Kriging interpolation method indicates that 9.95% of Tehran’s area has a price of less than US$800, 17.68% of it has a price of US$800 to US$1,200, 25.40% has the price of US$1,200 to US$1,600, 17.61% has the price of US$1,600 to US$2,000, 9.54% has the price of US$2,000 to US$2,200, 6.69% has the price of US$2,200 to US$2,600, 5.38% has the price of US$2,600 to US$2,800, 4.59% has the price of US$2,800 to US$3,200 and finally, the 3.16% has a price more than US$3,200. The highest price concentration (above US$3,200) is in five neighborhoods (Zafaranieh, Mahmoudieh, Tajrish, Bagh-Ferdows and Hesar Bou-Ali). The findings from the study of changes in housing prices in the period (1991–2021) indicate that the southern part of Tehran has grown slightly compared to the average range, and the western part of Tehran, which includes the 21st and 22nd regions with much more growth than the average price.

There is massive inequality in housing prices in different areas and neighborhoods of Tehran city in 2021. In the period under study, spatial inequality in the residential system of Tehran intensified. The considerable increase in housing prices in the housing market of Tehran has made this sector a commodity, intensifying the inequality between owners and non-owners. This increase in housing price inequality has caused an increase in the informal living for the population of the southern part. This population is experiencing a living situation that contrasts with the urban plans and policies.

The textile sector struggles with cotton stickiness from honeydew contamination. It hurts agriculture and marketability. This study aims to examine how bacterial enzymes could reduce honeydew-contaminated cotton adherence in textile businesses sustainably.

Enzyme was extracted from bacteria isolated from the fermented bamboo shoots “Lung siej”. The enzyme was tested for α-glucosidase using p-nitrophenyl-α-D-glucopyranoside as a substrate. Design of experiments determined enzyme activity temperature and reaction time. Laboratory-prepared artificial honeydew was added to ginning mill cotton to show honeydew contamination. After enzyme treatment, sticky cotton was tested for microscopic examination, ultraviolet (UV), Benedict’s, Elsner colorimetric, high volume instrument (HVI) and viscosity tests.

The bacterial isolate is characterized as Lysinibacillus sp. as confirmed by 16S rRNA gene sequencing. The enzyme extracted was identified as α-glucosidase. The ideal temperature and reaction time for enzymatic activity were 32 °C and 35 min, respectively, using central composite design. The microscopic examination, UV test, Benedict’s test, Elsner colorimetric test, HVI test and viscosity test showed that bacterial enzyme treatment reduced cotton fiber adherence.

Although few patents have examined the effect of yeast enzymes, to the best of the authors’ knowledge, a bacterial enzyme is investigated for the first time to reduce the adhesion of honeydew-contaminated cotton.