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Pneumatic systems are actuators that convert compressed air from the atmosphere into pressure energy and use it for mechanical action. The movements referred to here are mechanical movements, such as linear or circular movements. Pneumatic systems have been used in the manufacturing industry since the 1950s. Today, we see that pneumatic installations are also being constructed alongside electrical and water lines in factories that produce goods. This situation clearly demonstrates that pneumatic systems have become an indispensable and fundamental necessity in production processes. When evaluating pneumatic systems from an Industry 4.0 perspective, it becomes apparent that a great deal of data can be collected from the environments in which pneumatic systems are used to increase efficiency. Although there are different approaches to managing and analyzing the data obtained from these sources, cloud computing and edge computing are the two most prominent approaches. Today, it is common to see these two approaches used together. Data obtained from the source via Edge Computing is analyzed at the source and used to obtain quick results, while Cloud Computing is used only for the transfer and analysis of important data. This reduces unnecessary time and performance losses in the system, making it more efficient. In this study, the Industry 4.0 concept's Edge Computing approach was applied to a real-life problem. The problem addressed was predictive maintenance in pneumatic systems. This problem was studied on the fully automated bread processing and stacking line of Brotmas, a company based in Konya that manufactures baking machines. Data was collected from the company on key points in the system, including the detection of leaks in the air piping, compressor oil level control, manometer pressure value control, compressor belt tension control, and inverter-based compressor motor health control. The collected data was compared with new information to prevent potential failures. As a result of this study, it was observed that error notifications caused by compressor shutdown, pressure drop, maintenance deficiencies, and pneumatic piston failures decreased by 67%.

Energy is one of the fundamental factors for a country’s industrialization, competitive power, and economic development. Since the Industrial Revolutions, global demand for energy has increased, and countries that utilize this resource effectively have become developed economies. Companies in the energy sector require high levels of financing to sustain operations and implement new investments; therefore, they must determine financing policies and capital structures with care. Studies on optimal capital structure have been conducted for many years, and various theories have been developed. Capital structure theories, beginning with Modigliani and Miller (1958), evolved over time, leading to modern approaches. This study tests the applicability of two of these theories to firms in the energy sector. Firm-specific factors affecting capital structures of companies listed on Borsa Istanbul (BIST) during 2022:Q1–2024:Q4 were examined. Data were obtained from the Finnet Stockeys Pro database. Analyses were conducted using the static panel data method in Stata 13 with the Driscoll-Kraay estimator. The sample consisted of 34 firms and 353 observations. In the model, profitability, liquidity, growth opportunities, asset structure, and firm size were independent variables, while financial leverage was the dependent variable. Findings reveal a negative and statistically significant relationship between profitability and financial leverage, and a positive and statistically significant relationship between growth opportunities and financial leverage. These results indicate that firms in the sample tend to structure their capital in line with the pecking order theory.

In today’s rapidly changing conditions, individuals’ ability to adapt depends largely on their capacity for innovative thinking and their adoption of lifelong learning. This study aims to analyze university students’ innovativeness and lifelong learning motivation and to examine the relationship between these two constructs. The sample of the study consisted of 466 associate and undergraduate students studying at a foundation university in Türkiye. The majority of the participating students were categorized as “Early Majority.” No significant differences were found in students’ innovativeness and lifelong learning motivation scores according to gender or grade level. Students studying in quantitative fields and those with higher academic achievement had higher innovativeness and lifelong learning motivation scores compared to others. A positive and moderate correlation was found between innovativeness and lifelong learning motivation scores. The findings revealed that students’ innovativeness and lifelong learning motivation were more strongly associated with academic achievement and personality traits than with demographic variables. It is recommended that universities create learning environments that foster innovativeness and lifelong learning motivation, and provide counseling services aimed at enhancing students’ personal characteristics such as self-awareness, self-control, and extroversion.

This study comprehensively examines the relationship between conflict management styles and anger style levels of secondary school teachers. Data obtained from a total of 342 secondary school teachers working in Diyarbakır province in the 2014-2015 academic year were analyzed using the Organizational Conflict Inventory II and the Trait Anger-Anger Style Scale. The study aims to reveal the preferred styles in conflict management and the relationship between these styles and anger expressions. As a result of the study, it was seen that teachers used the integrating style the most and the dominating style the least. It was also determined that anger control levels were generally high, but anger-in and anger-out levels were low. It was determined that the professional seniority factor had a significant effect, especially on trait anger levels.

This study examines Turkey's digitalization process with a historical perspective on the axis of information management and documentation policies. Based on Daniel Bell's Information Society and Manuel Castells' Network Society theories, the analysis examines the process of digital transformation in three main periods. First, the period 1923-1980 is defined as a preparatory phase in which the foundations of bureaucratic information management were laid through archival legislation and library systems. The second period, 1980-2000, represents the transition phase in which the informatization process started with the introduction of information technologies and the internet into public administration. The post-2000 period represents the institutional maturity phase in which e-Government, open data and artificial intelligence strategies were centralized under the coordination of the Digital Transformation Office of the Presidency. As a result of the study, it is seen that Turkey's digitalization model has achieved success in technical infrastructure and public services, and is at the stage of integrating open data, artificial intelligence and digital ethics policies into public administration, but structural challenges remain in data security, digital inequality and sustainability. In addition, the study analyzes Turkey's digitalization process in historical continuity and presents policy recommendations for the institutionalization of knowledge-based governance culture.