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Health technologies are an issue that directly affects the sustainability and quality of health services. Due to budget constraints, it is not financially possible for businesses to apply comprehensive improvement strategies to all these criteria. In this case, it is possible for businesses to implement more priority strategies. Accordingly, the main purpose of this study is to evaluate the important performance indicators of health technology investments.

Firstly, with the help of the artificial intelligence system, a decision matrix is established. Secondly, spherical fuzzy total order of preference decision-making trial and evaluation laboratory methodology is taken into consideration for weighting the criteria. Thirdly, emerging seven countries are ranked by using spherical fuzzy MultiAtributive Ideal-Real Comparative Analysis (MAIRCA).

The findings demonstrate that the criteria of health policies and research and development are defined as the most significant factor in this regard. China and Turkey are also found to be the most successful emerging countries with respect to the performance of health technology investments.

The main contribution of this study is that a novel decision-making model is generated by integrating artificial methodology into the spherical fuzzy sets.

Agriculture is an activity that plays an important role in human life. Similarly, the agricultural sector plays an important role in the national economy. One of the biggest problems of the agricultural sector is the carbon gas it produces during production. Fertilizing activities and tools used in plowing the fields cause this gas to be produced. The release of the said gas into nature causes serious damage to the environment. Therefore, carbon emissions in the agricultural sector are of vital importance. In line with this purpose, it is aimed to determine the most appropriate strategy for carbon emission in this study. As a result of the DEMATEL analysis, it was seen that the most appropriate strategy was effective regulations and auditing.

In terms of countries, renewable energy sources are increasing their importance day by day. The decrease in fossil fuels and the difficulty of accessing the related fuels as well as their expensiveness can be cited as reasons for this situation. This situation obliges countries to make legal arrangements for the production and use of renewable energy sources in their legal systems. In this context, legal arrangements have been made in Turkey regarding the production and use of related energy resources. One of these regulations is the law dated May 10, 2005 and numbered 5346. The relevant law aims to bring electrical energy to the economy in a reliable, economical, and at the same time high quality way by using renewable energy sources. At the same time, the main purposes of enacting the law include increasing the diversity of resources in energy, reducing greenhouse gas emissions as much as possible, evaluating waste, and protecting the environment. At the same time, the law includes sustainable energy sources. It has been defined as nonfossil energy sources such as hydraulic, wind, solar, geothermal, biomass, waves, currents, and tides. In this context, the main purpose of the study is to examine what renewable energy sources are and to reveal the legal nature of energy services by considering the production and use of renewable energy sources in Turkey in the context of Turkish legal legislation.

This contribution focuses on the transition from childhood to teenage years to gain insights into intergenerational relations in Türkiye. At this transition, relations between the age groups – maturing children and responsible adults – are partly renegotiated. Scopes of action, areas of responsibility, the right to have a say are being redefined, or at least contested. What becomes the subject of negotiation? How are the negotiations conducted? What are the successes and failures of negotiations? The answers give insights into the positions and mutual relations of adolescents and adults. Using focus group data with girls and complementing questionnaire material from teenagers in Türkiye, we illuminate some challenges related to the age transition from the adolescents' perspective. The results show that the girls – in accordance with their peers and against the resistance of their parents – try to implement their idea that growing up means to become more equal and independent. From the parents' side, responsibility and maturity – particularly regarding (increasing) household and school obligations – emerged as the most dominant expectations toward the teenagers. Our findings suggest that this strong ‘responsibilization’ demanded by the parents and the girls' (albeit somewhat grudgingly achieved) ability to meet this expectation ensured girls' subordination within the intergenerational relations – a subordination that is thus upheld beyond childhood. We conclude that the particular contradictions the teenagers are confronted with when coming of age are increased by Türkiye's status as a society between the East and the West that cannot be considered wholly collectivist anymore.

Forklift trucks are generally operated with frequent accelerations and stops, reverse and operations of load handling. This way of operation increases the energy losses and consequently the need for reduction of fuel consumption from forklift customers. This study aims to build a model to replicate the performance of forklifts during real operations and estimate fuel consumption without building a real prototype.

AVL Cruise has been used to simulate forklift powertrain and hydraulic circuit. The driving cycles used for this study were in accordance with the standard VDI 2198. Artificial neural networks (ANNs), trained by the results of AVL Cruise simulations, have been used to forecast the fuel consumption for a large set of possible driving cycles.

The comparison between simulated and experimental data verified that AVL Cruise model was able to simulate the performance of real forklifts, but the results were only valid for the specified driving cycle. The ANNs, trained by the results of AVL Cruise for a certain number of driving cycles, have been found effective to forecast the fuel consumption of a larger number of driving cycles following the prescriptions of the standard VDI 2198.

A new method based on ANN, trained by AVL Cruise simulation results, has been introduced to forecast the forklift fuel consumption, reducing the computational time and the cost of experimental tests.