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Children and adolescents with autism spectrum disorder need special attention for their mental and physical health and education. This study aims to investigate the effects of the COVID-19 pandemic on them.

This descriptive cross-sectional study was conducted on data collected from an online survey. Respondents were the parents or caregivers of autistic children aged 3–18. It measured opinions about the favorable and unfavorable behavioral changes related to their children during the COVID-19 lockdowns.

In total, 131 respondents participated in the study. The mean age of their autistic children was 11.45 ± 4.26 years, of whom 78% were boys. Improved good behaviors during lockdowns included interaction with parents and siblings, eating healthy foods, quality of sleep, eye contact, pointing and asking for something, imitating sounds and phrases, sharing interests, reaction to emotions and empathy with family members, but sleep hours decreased.

Lockdown provided opportunities for examining the behaviors of children with autism taking into account its favorable and unfavorable effects, to improve communicating and behaving with these children.

Hope and death anxiety as the important sources of adjustment can affect the attitude, health status and quality of life in patients undergoing hemodialysis. Hopelessness and death anxiety are considered as the important factors in patients undergoing hemodialysis, because these can avoid non-adherence and increase mortality rate. This study aims to investigate the effect of the cognitive–behavioral intervention on hope and death anxiety in patients undergoing hemodialysis.

In this randomized controlled clinical trial, 84 patients undergoing hemodialysis were included, who were then divided into two groups as the cognitive–behavioral intervention group (n = 42) and the control group (n = 42). The experimental group received eight sessions of individual chair-side cognitive–behavioral intervention. To measure the hope level and death anxiety, Hearth Hope Scale and Templer’s Death Anxiety Scale were used as tools once at the beginning and once at the end of the study.

The mean scores of the hope levels in the intervention group significantly improved compared to the control group. Furthermore, the mean scores of the death anxiety levels significantly decreased in the intervention group compared to the control group.

Cognitive–behavioral interventions are significantly effective on promoting the level of hope and decreasing the level of death anxiety in patients undergoing hemodialysis. Therefore, applying this psychological intervention to design the individual education programs is recommended.

The purpose of this paper is to present a method to find a generally accepted employee engagement scale, particularly in the presence of various alternatives and objectives.

To find the measurement scales, seminal works encapsulating organizational engagement, job engagement and work engagement in Cinhal, PsycINFO and ABI/INFORM database have been reviewed. For finding the optimal choice from available scales, multi-criteria decision-making (MCDM) method was used.

An agreed-upon measurement scale is achievable through the knowledge of alternatives and consequences, as well as consistent preference ordering and a decision rule. However, choice of the most effective scale varies according to the preference of decision makers.

This study proposes MCDM method as an intervention for practitioners who aim to assess the level of employee engagement in their organizations. It also provides a decision-making method to scholars to surmount conflicting objectives in their measurement.

While previous studies have developed manifold measurement scales, there is no study to indicate which scale best measures employee engagement. This paper attempts to define how to choose one scale among the various existing gauges of engagement.

Optimisation of daylight admission through window is crucial for alleviating glare while maintaining useful daylight levels in order to enhance occupants' health, visual comfort and moderating lighting energy consumption. Amongst various solutions, fixed external shade is an affordable solution for housing spaces that need to be sophisticatedly designed, especially during the period of increasing home spaces as working environments. In the humid subtropical region, daylight control plays an important role in indoor comfort, particularly with areas with a high window to wall ratio (WWR). Due to the insufficient amount of such study on non-office spaces in Australia, shading-related standards are not addressed in Australian building codes.

The chosen methodology for the research is a quantitative data collection and analysis through field measurement and simulation simultaneously. The first step is a multi-objective optimisation of shading elements through a non-dominated sorting genetic algorithm (NSGA-II) on parametric modelling via Rhino3D CAD and simulation engines (DIVA and ClimateStudio). In the second phase, the Pareto front solutions are validated by experimental measurements within a room with a single north-facing window (the most probable for the daytime glare in Sydney) for the seven most common local window configurations.

Through the simulation of ten genes, 1,560 values and 2.4 × 1,019 of search space, this study found an optimum shade for each local common window layout, resulted in +22% in (UDI) and −16% in views with discomfort glare on average. Moreover, an all-purpose polygonal shade showed an average of 4.6% increase in UDI and a 5.83% decrease in the percentage of views with discomfort glare.

The findings are subject to the room dimensions, window dimensions and layouts, and orientation of windows for selected residential buildings in Sydney.

The study contributes to the development of highly accurate fixed external shading systems with rectangular and tapered-form external shapes. A real-time measurement by luminance-metre sensors and HQ cameras located at six eye levels is conducted to corroborate simulation results of the visual comfort.

This study aims to present the evaluation of a competency-based online professional development training program, PhD Progression, tied to a digital badge system, created to support PhD students across fields.

This study took place at Boston University, a large, nonprofit, Carnegie Classified R1 research-intensive institution located in the northeastern region of the USA. Through internal campus collaborations, the authors developed a PhD core capacities framework. Building from this framework, the authors designed the first learning level of the program and ran a pilot study with PhD students from various fields and at different stages of their PhD. Using surveys and focus groups, the authors collected both quantitative and qualitative data to evaluate this program.

The quantitative and qualitative data show that the majority of the PhD student participants found the contents of the competency-based training program useful, appropriate for building skills and knowledge and therefore relevant for both their degree progress and their future job. Gaining digital badges significantly increased their motivation to complete training modules.

This type of resource is scalable to other institutions that wish to provide self-paced professional development support to their PhD students while rewarding them for investing time in building professional skills and enabling them to showcase these skills to potential employers.

This study demonstrates, for the first time, that tying a digital badging system to a competency-based professional development program significantly motivates PhD students to set professional development goals and invest time in building skills.

The purpose of this study is to identify and examine findings from empirical research regarding organizations’ talent development (TD) strategies, taking into consideration the countries in which the studies were conducted and the TD-approach organizations adopted, and recognize the positive outcomes of TD implementation, as well as potential issues and challenges.

This systematic literature review used Garrard’s matrix method to organize the review of publications. It identified 31 empirical articles from the total of 551 publications.

The findings indicate that a majority of the studies were conducted in countries other than the USA and that they were all published recently, after 2007. The results show that organizations have mostly applied organizational development interventions at the individual level for developing talented employees, followed by formal training and development. Additionally, managerial issues were identified as the most common issue on the way of implementing TD interventions.

Trying to define TD as a discrete concept from HRD could be considered as both differentiating the current literature review and a limitation.

This article is among the first to identify TD interventions through a systematic literature review and provides a model of TD’s intervention antecedents and outcomes for the follow-up empirical works.

A long history of literature has considered the role of information risk in determining the cost of equity. The question that has remained unanswered is whether information risk plays any systematic role in determining the cost of equity. One of the fundamental decisions that every business needs to make is to assess where to invest its funds and to re-evaluate, at regular intervals, the quality of its existing investments. The cost of capital is the most important yardstick to evaluate such decisions. Greater information is associated with the lower cost of capital via mitigating transaction costs and/or reducing estimation risk and stock returns. This study aims to investigate the impact of information risk on the cost of equity and corporate stock returns.

The research sample consists of 960 firm-year observations for companies listed on the Tehran Stock Exchange from 2009 to 2018. The research hypotheses were tested using multivariate regression models based on panel data.

The results reveal that information risk has a significant positive impact on the firm’s cost of equity. However, the impact of information risk on stock returns is not statistically significant.

To the best of the knowledge, the current study is almost the first of its kind in the Iranian literature which investigates the subject matter; therefore, the findings of the study not only extend the extant theoretical literature concerning the information risk in developing countries including the emerging capital market of Iran but also help investors, capital market regulators and accounting standard setters to make timely decisions.

Examining the impact of socioeconomic status (SES) and expenses spent on food preparation on nutritional intake has always been one of the critical concerns for policymakers. This study aims to investigate the association between household food expenditure as well as SES and dietary nutrient intake in Kermanshah, Iran.

In this cross-sectional study, households were randomly selected from different strict in Kermanshah, Iran. Data were collected with an SES questionnaire, a demographic data collection form, a weekly food purchase checklist and a food record. The authors performed the analysis of covariance to determine the relationship of dietary nutrient intake of study participants across quintile categories of SES and total food expenses per day.

Out of 125 households, 119 households including 401 people finished the study. A significant association was observed between higher SES and higher intake of vitamin B2 (p-value = 0.03). Moreover, the household members at the top level of total food expenses per day had significantly greater dietary nutrient intake of energy (p < 0.001), potassium (p < 0.001), magnesium (p < 0.001), calcium (p < 0.001), zinc (p < 0.001), vitamin B2 (p < 0.001), B6 (p < 0.001), B12 (p = 0.002) and vitamin C (p = 0.04).

In our study, higher dietary nutrient intake was observed in the household members at the highest level of total food expenses daily as well as SES. Therefore, governments and policymakers should pay basic attention to optimizing food costs and improving the economic status of people.

The purpose of this paper is to investigate the possible relationship between novice vs experienced EFLs teachers’ Big Five personality traits, ambiguity tolerance and risk taking. To this purpose, 30 teachers of TEFL courses were randomly selected, and three instruments of NEO Five-Factor Inventory, Ambiguity Tolerance Scale and Risk-taking Propensity Measure were employed to measure their Big Five personality traits, their ambiguity tolerance and risk taking, respectively.

The study was a quantitative ex post facto study. The first phase of the study was to investigate the relationship among variables of the study. On the other hand, the second phase of the study examined the impact of experience of teachers on their risk taking and ambiguity tolerance.

The results showed that the more experienced the teachers are, the less risk they take and the more ambiguity tolerant they are. On the other hand, the less experienced the teachers are, the more risk they will take and the less they can tolerate ambiguity. The findings of this research can have useful implications for teacher training programs as well as teaching practices.

This study can add to the circle of knowledge and enhance theoretical assumptions of the field. Moreover, considering the Iranian context, a few studies have focused on the importance of uncovering relationship between five big personality traits and teachers’ personality factors. Therefore, this study is an attempt to investigate the relationship between the Big Five personality traits of teachers and their ambiguity tolerance and risk taking.

Climate change has led to a rise in the frequency, intensity and scope of droughts, posing significant implications for businesses. This study examines the impact of local community drought levels on audit pricing. Additionally, it explores the moderating effects of high-tech industries, auditor busyness and the level of local community concern regarding the drought crisis.

This study employs a mixed-methods approach to rigorously test the research hypotheses. The quantitative phase of the study utilizes a sample of 1,278 firm-year observations from Iran’s capital market. For the analysis of the quantitative data, ordinary least squares regression with clustered robust standard errors is used. Additionally, this research supplements its quantitative findings with qualitative evidence obtained through semi-structured interviews with 19 Iranian audit partners.

The results suggest that firms operating in provinces facing severe droughts experience notably higher audit fees. Furthermore, the positive relationship between drought and audit fees is weakened when auditors are busy, local community concern regarding the drought crisis is high or the firm operates within high-tech industries. These findings are supported by a range of robustness checks and qualitative evidence gathered from the field.

This research contributes to the growing literature on climate change by examining the influence of local community drought levels on audit pricing within an Iranian context. Additionally, our study sheds light on how high-tech industries, auditor workload and the level of local community concern regarding the drought crisis moderate the relationship between drought and audit fees. Importantly, our study pioneers in providing mixed-methods evidence of the association between drought severity and audit fees.