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Alternative Healthy Eating Index (AHEI)-2010, an index that determines the quality of a diet, was created to predict the risk of chronic diseases. Nevertheless, it is unclear whether this index can predict the risk of prostate cancer, one of the most prevalent cancers among men around the world. The study aims to investigate the association between adherence to the AHEI-2010 and the risk of prostate cancer in Iranian men.

The case–control study was conducted in Kermanshah, Iran in the year 2016. The study included 50 cases of Iranian men with prostate cancer and 150 healthy controls. Anthropometric indices were measured by bioelectric impedance analysis (BIA). The AHEI-2010 included 11 food components that were assessed by using a 147-item food frequency questionnaire. A multivariate logistic regression was performed to analyze the association of the AHEI-2010 (expressed as a dichotomous variable) with prostate cancer.

As per the analysis, there were no significant differences in age, body mass index (BMI) and waist-to-hip ratio (WHR) between case and control groups, statistically. After adjustment for potential confounders, the higher AHEI-2010 scores were associated with a lower risk of prostate cancer (OR AHEI > 55 vs ≤ 55 = 0.26; 95% CI: 0.11-0.63). Moreover, the Mean of AHEI scores was higher in controls than in the cases (p < 0.001).

The authors’ findings suggest that adherence to the dietary patterns with high scores of AHEI-2010 is associated with a reduced risk of prostate cancer, so this index may be used as an effective measure to predict prostate cancer.

It has been suggested that there is a link between the dietary intake of certain nutrients and the risk of prostate cancer. The aim of this study is to examine the associations between dietary intakes of all nutrients and the risk of prostate cancer in Kermanshah.

This case-control study was conducted in Kermanshah, a province in the west of Iran in November of 2016. The sample consisted of 50 patients with confirmed prostate cancer, and 150 healthy men who matched in age with these cases and did not have any symptoms of prostate disorder were chosen as controls. Dietary intakes were collected by a semi-quantitative food frequency questionnaire that contained 147 food items and were then analyzed by Nutritionist 4 software.

After adjustment for potential confounding factor, highest tertile compared to lowest tertile of dietary vitamin E intake [odds ratio (OR) = 0.21; 95% confidence interval (CI) = 0.05-0.89], lycopene intake (OR = 0.11; 95% CI = 0.01-0.86) and magnesium intake (OR = 0.02; 95% CI = 0.01-0.55) had a protective effect on the incidence of prostate cancer. However, there were no associations between dietary intakes of fiber, vitamin A, vitamin D, vitamin B₁₂, folate and calcium with prostate cancer.

The finding suggests that the dietary intakes of vitamin E, lycopene and magnesium could decrease the risk of prostate cancer. Nevertheless, dietary intake of other nutrients such as fiber, calcium, vitamins D, A, B₁₂ and folate was not associated with prostate cancer.

Lactose intolerance (LI) is a disturbing gastrointestinal disorder with a high prevalence in all parts of the world, especially in Asian countries. The purpose of this study is to investigate the prevalence of LI in students from Zabol, Iran.

Based on cluster random sampling method, 887 subjects were selected for the study. Of all, 54.7 per cent of the students were boys. The mean (±SD) of age, weight and body mass index (BMI) for participants were 13.27 ± 1.14 years, 42.12 ± 10.25 kg and 18.7 ± 3.9 kg/m², respectively. LI was assessed using a validated self-administered questionnaire. After measuring the anthropometric indices, students were asked to ingest 200cc of milk. The questionnaires were completed 2 h after the ingestion of milk.

In total, 25.8 per cent of the adolescents had LI. Of all, 1, 4.6, 11, 30.2 and 53.2 per cent of affected students had severe, relatively severe, moderate, relatively mild and mild LI, respectively. The association between LI and gender, and BMI was not significant (p > 0.05 for both); however, the association between LI and the history of LI in parents (OR = 2.06; 95 per cent CI: 1.47-2.88; p < 0.001), and breakfast consumption was significant (OR = 1.49; 95 per cent CI: 1.04-2.14; p = 0.028).

Although the prevalence of LI is noticeable, majority of adolescents had mild and relatively mild LI. Parents’ history and breakfast consumption are related to the rate of LI prevalence. Appropriate strategies should be considered to prevent breakfast skipping.

The purpose of this paper is to present a new approach for the optimal design of protective current transformers (CTs). The proposed technique is applied to the design of typical CTs and results are compared with traditional CT design method and genetic algorithm optimization algorithm.

The aim of CT design is to make current measurements more accurately, particularly for the high fault currents which arise in short circuits, and more efficient CT in terms of both size and cost. The present work formulates these objectives as an optimization problem to be solved by particle swarm optimization.

Simulation results demonstrate the effectiveness of this technique in optimizing the CT design parameters. The designed CTs have smaller measurement errors compared to standard values and respond well to high fault currents. Manufacturing costs have also been reduced.

In addition to improved efficiency, the benefits of this method are its treatment of CT design in terms of an equivalent circuit and design parameters. The proposed algorithm also extends the linear operation area of the CT and guarantees its good response to high fault currents that may occur in power systems.

Occupant behavior can lead to considerable uncertainties in thermal comfort and air quality within buildings. To tackle this challenge, the use of probabilistic controls to simulate occupant behavior has emerged as a potential solution. This study seeks to analyze the performance of free-running households by examining adaptive thermal comfort and CO2 concentration, both crucial variables in indoor air quality. The investigation of indoor environment dynamics caused by the occupants' behavior, especially after the COVID-19 pandemic, became increasingly important. Specifically, it investigates 13 distinct window and shading control strategies in courtyard houses to identify the factors that prompt occupants to interact with shading and windows and determine which control approach effectively minimizes the performance gap.

This paper compares commonly used deterministic and probabilistic control functions and their effects on occupant comfort and indoor air quality in four zones surrounding a courtyard. The zones are differentiated by windows facing the courtyard. The study utilizes the energy management system (EMS) functionality of EnergyPlus within an algorithmic interface called Ladybug Tools. By modifying geometrical dimensions, orientation, window-to-wall ratio (WWR) and window operable fraction, a total of 465 cases are analyzed to identify effective control scenarios. According to the literature, these factors were selected because of their potential significant impact on occupants’ thermal comfort and indoor air quality, in addition to the natural ventilation flow rate. Additionally, the Random Forest algorithm is employed to estimate the individual impact of each control scenario on indoor thermal comfort and air quality metrics, including operative temperature and CO2 concentration.

The findings of the study confirmed that both deterministic and probabilistic window control algorithms were effective in reducing thermal discomfort hours, with reductions of 56.7 and 41.1%, respectively. Deterministic shading controls resulted in a reduction of 18.5%. Implementing the window control strategies led to a significant decrease of 87.8% in indoor CO2 concentration. The sensitivity analysis revealed that outdoor temperature exhibited the strongest positive correlation with indoor operative temperature while showing a negative correlation with indoor CO2 concentration. Furthermore, zone orientation and length were identified as the most influential design variables in achieving the desired performance outcomes.

It’s important to acknowledge the limitations of this study. Firstly, the potential impact of air circulation through the central zone was not considered. Secondly, the investigated control scenarios may have different impacts on air-conditioned buildings, especially when considering energy consumption. Thirdly, the study heavily relied on simulation tools and algorithms, which may limit its real-world applicability. The accuracy of the simulations depends on the quality of the input data and the assumptions made in the models. Fourthly, the case study is hypothetical in nature to be able to compare different control scenarios and their implications. Lastly, the comparative analysis was limited to a specific climate, which may restrict the generalizability of the findings in different climates.

Occupant behavior represents a significant source of uncertainty, particularly during the early stages of design. This study aims to offer a comparative analysis of various deterministic and probabilistic control scenarios that are based on occupant behavior. The study evaluates the effectiveness and validity of these proposed control scenarios, providing valuable insights for design decision-making.

This qualitative study sought to explore how Iranian English language professors used social media network Telegram in their classes and what possibilities and constraints they experienced with regard to classroom interactions and university education, and how they rethought the use of social media network Telegram.

Data were collected through written reflective exercises and semi-structured interviews. Furthermore, data were analyzed based on three moments of critical hermeneutics: a moment of social-historical analysis, a moment of formal analysis and a moment of interpretation-reinterpretation.

The analysis of the data led to four themes: a dialogic classroom, the critical awareness of power-relations, the critical reflection on the experiences of the classroom and digital inequality. In fact, the participants pointed out that using social media network Telegram could lead to the persuasive discourse and multiplicity of voices as opportunities for sharing knowledge and distributing powers.

Indeed, the present study addressed the learning processes resulted from using social media network Telegram rather than the product and outcome that were mainly addressed by the previous studies by considering three levels of descriptions, which included micro-level of the learner and teacher interaction, meso-level of the processes of educational institutions and macro-level of wider cultural and societal contexts.

This study aims to examine the relationship between entrepreneurial leadership (EL) and new product development performance (NPDP) at the firm level (level 2) of analysis and employee’s creativity (EC) at the cross level (level 1) of analysis. It also examines the serial mediations of (1) intrinsic motivation (IM)-EC and (2) creative self-efficacy (CSE)-EC on the relationship between EL and NPDP.

A systematic random sampling technique was used to collect data through self-administered surveys from leaders and employees of small and medium-sized enterprises (SMEs) in Pakistan’s IT sector. Analysis was conducted on net responses from 114 leaders and 476 employees.

The results revealed significant positive associations between EL and NPDP at the firm level of analysis and EC at the cross level of analysis. The results of the cross-level serial mediations show that (1) IM and EC, and (2) CSE and EC serially mediate the relationship between EL and NPDP.

This study is among the few to use the Coleman bathtub model to show top-down and bottom-up relationships. The study extends and complements the multilevel perspective on leadership and new product development research by simultaneously examining the relationships between EL and NPDP at the individual and firm levels.

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.

By designing a system dynamics model in the form of a multimodal transportation system, this study for the first time seeks to reduce costs and time, and increase customer satisfaction by considering uncertainties in the intra city transit system, especially demand uncertainty and provide a prototype system to prove the capability of the dynamical system.

The paper tried to model the factors affecting the intra city multimodal transportation system by defining different scenarios in the cause-and-effect model. The maps and results developed according to system dynamics modeling principles are discussed.

Four scenarios were considered given the factors affecting the urban transportation system to implement the transportation information system for reducing the material and non-material costs of wrong planning of the intra city transit system. After implementing the scenarios, scenario two was selected under the following conditions: advertising for cultural development, support of authorities by efforts such as street widening to reduce traffic, optimize infrastructure, increase and optimize public transport and etc.

The value of this paper is considering uncertainty in traffic optimization; taking into account behavioral and demand indicators such as cultural promotion, official support, early childhood learning, traffic hours and the impact of traveler social status; investigating the factors affecting the system under investigation and the reciprocal effects of these factors and real-world simulation by considering the factors and effects between them.

Purpose – The purpose of this chapter is to review the methodological and empirical underpinnings of transport network screening, or management, as it relates to improving road safety. As jurisdictions around the world are charged with transport network management in order to reduce externalities associated with road crashes, identifying potential blackspots or hotspots is an important if not critical function and responsibility of transport agencies.

Methodology – Key references from within the literature are summarised and discussed, along with a discussion of the evolution of thinking around hotspot identification and management. The theoretical developments that correspond with the evolution in thinking are provided, sprinkled with examples along the way.

Findings – Hotspot identification methodologies have evolved considerably over the past 30 or so years, correcting for methodological deficiencies along the way. Despite vast and significant advancements, identifying hotspots remains a reactive approach to managing road safety – relying on crashes to accrue in order to mitigate their occurrence. The most fruitful directions for future research will be in the establishment of reliable relationships between surrogate measures of road safety – such as ‘near misses’ – and actual crashes – so that safety can be proactively managed without the need for crashes to accrue.

Research implications – Research in hotspot identification will continue; however, it is likely to shift over time to both closer to ‘real-time’ crash risk detection and considering safety improvements using surrogate measures of road safety – described in Chapter 17.

Practical implications – There are two types of errors made in hotspot detection – identifying a ‘risky’ site as ‘safe’ and identifying a ‘safe’ site as ‘risky’. In the former case no investments will be made to improve safety, while in the latter case ineffective or inefficient safety improvements could be made. To minimise these errors, transport network safety managers should be applying the current state of the practice methods for hotspot detection. Moreover, transport network safety managers should be eager to transition to proactive methods of network safety management to avoid the need for crashes to occur. While in its infancy, the use of surrogate measures of safety holds significant promise for the future.