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Similar to many business processes, waiting times are also essential for health care processes, especially in obstetrics and gynecology outpatient department (GOD), because pregnant women may be affected by long waiting times. Since creating process models manually presents subjective and nonrealistic flows, this study aims to meet the need of an objective and realistic method.

In this study, the authors investigate time-related bottlenecks in both departments for different doctors by process mining. Process mining is a pragmatic analysis to obtain meaningful insights through event logs. It applies data mining techniques to business process management with more comprehensive perspectives. Process mining in this study enables to automatically create patient flows to compare considering each department and doctor.

The study concludes that average waiting times in the GOD are higher than obstetrics outpatient department. However, waiting times in departments can change inversely for different doctors.

The event log was created by expert opinions because activities in the processes had just starting timestamp. The ending time of activity was computed by considering the average duration of the corresponding activity under a normal distribution.

This study focuses on administrative (nonclinical) health processes in obstetrics and GOD. It uses a parallel activity log inference algorithm (PALIA) to produce process trees by handling duplicate activities. Infrequent information in health processes can have critical information about the patient. PALIA considers infrequent activities in the event log to extract meaningful information, in contrast to many discovery algorithms.

With the emerging technologies, collecting and processing data about the behaviors of customers or employees in a specific location has become possible. The purpose of this paper is to evaluate existing data collection technologies.

Technology evaluation problem is handled as a multi-criteria decision-making (MCDM) problem. In this manner, a decision model containing four criteria and eight sub-criteria and four alternatives are formed. The problem is solved using hesitant analytic hierarchy process (AHP) and trapezoidal fuzzy numbers (TrFN).

The results show that the most important sub-criteria are: accuracy, quantity, ıntrospective and cost. Decision makers’ evaluate for alternatives, namely wireless fidelity (WiFi), camera, radio-frequency identification and Bluetooth. The best alternative is found as Bluetooth which is followed by WiFi and Camera.

Technology evaluation problem, just like many other MCDM problems are solved using expert evaluations. Thus, the generalizability of the findings is low.

In this paper, technology selection problem has been handled using hesitant AHP for the first time. In addition, the original methodology is extended by using TrFN to represent the expert evaluations in a better way.

The child is humanity's future; childhood experiences shape future social life and culture. Happier children, and thus happier societies, are the result of a proper definition and comprehension of the child and his/her childhood period and the elimination of harmful behaviours and attitudes towards children during their formative years. Childhood is a distinct period in various communities and historical periods.

When dealing with childhood and the history of childhood around the world, all types of information, documents and items that are assumed to be directly or indirectly related to the child will contribute to understanding the place of childhood in the historical process. The importance of the child's role in history was recognised, and childhood was encouraged in historical research. Understanding the historical changes in the concept of childhood will influence children's positive development and perceptions of childhood. As a result, we wanted to examine childhood through the lens of history.

A healthy society consists of physically, mentally and psychologically healthy individuals. In this respect, it is crucial to raise children as healthy individuals in every sense. Children's rights can be defined as the rights stipulating to protect our children from harm and abuse; give them a chance to be raised as emotionally healthy individuals and provide their basic needs such as nutrition and shelter. The child should have the right to adequate nutrition and a safe haven. In this context, it should be a primary goal for everyone to enable children, who are the future of society, to benefit from their physical environments as equally as possible.

The purpose of this study is to evaluate the perception and knowledge of standard food/meal portion size and related factors in young adults.

The present study was conducted on 1,000 volunteer young adults, consisting of 504 men and 496 women (18 and 28 years). The portion size of food/meal, amount of food measuring utensils and also nutritional knowledge were evaluated via a questionnaire and some visual materials.

Knowledge of portion sizes, amount of food each utensil holds and nutrition was evaluated via a questionnaire and some visual materials. Knowledge of portion size with respect to food groups (p = 0.015), meals (p < 0.001) and food measuring utensils (p = 0.002) and nutritional knowledge scores (p = 0.011) differed based on body mass indexes (BMI). Women had on mean a higher nutritional knowledge score than men (2.0 ± 1.3, 1.9 ± 1.1 points, respectively). The probability of having knowledge about food measuring utensils was 1.4-fold greater for individuals who had been previously educated about nutrition (p = 0.034). Individuals of the faculty of health sciences had higher mean scores for all portion scores (p < 0.05).

The study findings highlighted that portion knowledge and perception of young adults were affected by gender, BMI, enrolled faculty and nutritional knowledge status. This is the first study, through which the portion knowledge and perception subcomponents (food, meal and measuring utensils) are evaluated, indicating each subcomponent to be affected by distinct factors.

This study aims to fill the gap in existing studies that have analyzed the drivers of carbon dioxide (CO₂) emissions. The author investigate the long-run effects of energy types, urbanization, financial development and, the interaction between urbanization and financial development on CO₂ emissions.

Stochastic impacts by regression on population, affluence and technology model served as the framework for empirical modeling. Using annual time-series data for Tunisia, autoregressive distributed lag bounds test was used to examine the cointegration of the variables. Also, the fully modified ordinary least squares was used to estimate the emission effect of the explanatory variables. Further investigations were done using the principal component analysis and variance decomposition analysis.

Income, urbanization, trade and financial development exert upward pressure on CO2 emissions. However, the interaction between urbanization and financial development reduces the emission of CO2. Furthermore, primary energy use, energy intensity, electricity consumption and fossil fuel consumption have positive effects on carbon emission, while combustible renewables and waste, and electricity production from natural gas have negative effects on carbon emission.

The policy implication/recommendation indicates that the financial sector’s authorities can combat carbon emission by properly regulating the development and activities of the financial sector in urban areas in Tunisia. The promotion of the development and usage of cleaner energy is recommended to help reduce carbon emission. Policymakers need to promote environmentally friendly economic growth and development agenda.

The contribution of this study to the environmental degradation literature is that it offers evidence from Tunisia, which has not received much empirical attention. It also examines the effect of various forms of energy usage on carbon emission. To the best of the author’s knowledge, this is the first study to examine the interaction effect between urbanization and financial development on carbon emission. Also, if not the first, this study is among the earliest to use the principal component analysis as a part of the prediction of the carbon emission effect of energy variables.

This study aims to fill the lack of quantitative studies of user preferences in quasi-public spaces to observe the use of quasi-public spaces by questioning the contemporary needs of urban communities and to develop design strategies accordingly.

Within the scope of this study, public space design elements affecting users' preferences in the quasi-public spaces of the Podium Park shopping center in Bursa, Turkey were evaluated. By considering the spatial characteristics of the study area, 4 main and 15 subcriteria were determined and utilized by analytic hierarchy process (AHP). These criteria were evaluated by experts and locals with a participatory approach.

According to the obtained results, “events” (S2), “sun/shade” (C2), “safety” (P3) and “planting” (U4) subcriteria were determined as the vital elements for quasi-public spaces.

Although the concept of quasi-public space has been discussed for nearly 30 years, it has been observed that there are no quantitative studies to determine the criteria of user preferences in these open spaces in the literature. This study is the first quantitative research for user preferences in quasi-public spaces and there is no previous study on this subject and study area in Turkey.

Even though many studies have attempted to understand the drivers of carbon dioxide emission and energy consumption to help tackle environmental issues, not much has been done to estimate the effect of natural resources extraction on these two variables. This paper aims to analyze the long-run and short-run carbon dioxide emission and energy consumption effect of natural resources extraction in Ghana.

The theoretical foundation for this study is the Stochastic Impacts Regression on Population, Affluence and Technology (STIRPAT) model. Secondary Data sourced from World Development Indicators (2018) for the period of 1971-2013 were used. Estimation was done by using the autoregressive distributed lag.

It was found among other things that urbanization, and extraction of natural resources contribute to Ghana’s carbon dioxide emission, while official development assistance helps in reducing carbon dioxide emission in the long run. Again, while income and extraction of natural resources increase energy consumption, urbanization and official development assistance reduce environmental degradation in the long run. Regarding the short run, income and urbanization both increase energy consumption and carbon dioxide emission; trade openness and official development assistance decrease both carbon dioxide emission and energy consumption.

The implications from the results include the need to strictly enforce laws regulating extractive activities in the country to ensure a safe environment; and also to raise tariff and non-tariff barriers on products that do not promote a friendly environment and vice versa.

The effect of natural resources extraction on carbon emission and energy consumption is examined.

This study aims to discover whether COVID-19 phobia has a positive and significant effect on the stress, depression and anxiety levels of industrial consumers in addition to reveal whether environmental awareness plays a mediating role between COVID-19 phobia and stress, depression and anxiety.

In this study, a quantitative method was used to reveal the role of anxiety, depression and stress (psychological effects) and environmental awareness caused by covid-19 phobia on industrial consumers. The universe of the study is small and medium-sized enterprises operating in the province of Sanliurfa, which is located in the southeast region of Turkey and the second largest city in the region, and are industrial customers. Questionnaire method was used in the study. In addition, data were collected from 406 people who agreed to participate in the study. In the study, in which intermediary and regulatory analyzes were made, the process macro program was used.

The results show that there is a medium relationship between COVID-19 phobia and environmental awareness; and COVID-19 phobia and stress, depression and anxiety. No relationship was found between environmental awareness and stress, depression and anxiety. COVID-19 phobia was found to have a positive and significant effect on environmental awareness and stress, depression and anxiety, while environmental awareness was found to have no effect on stress, depression and anxiety. Finally, environmental awareness was found to play a mediating role between COVID-19 phobia and stress, depression and anxiety.

In this study, four hypotheses were developed. Of these hypotheses, three are for the simple effect and one for the mediation effect. Out of four hypotheses, three were supported. The most important inference obtained from the study was finding the mediation effect of environmental awareness between COVID-19 phobia and anxiety, depression and stress.

To the best of the authors’ knowledge, no studies in the literature were made on the relationship among COVID-19 phobia, environmental awareness, stress, depression and anxiety. This study also examines the mediating effect of environmental awareness in the relationship between COVID-19 phobia and stress, depression and anxiety. The fact that the study is on the negative effects of the pandemic on one of the most affected occupational group also increases its original value.