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This study presents an ontological approach to assess the architectural outputs of generative adversarial networks. This paper aims to assess the performance of the generative adversarial network in representing building knowledge.

The proposed ontological assessment consists of five steps. These are, respectively, creating an architectural data set, developing ontology for the architectural data set, training the You Only Look Once object detection with labels within the proposed ontology, training the StyleGAN algorithm with the images in the data set and finally, detecting the ontological labels and calculating the ontological relations of StyleGAN-generated pixel-based architectural images. The authors propose and calculate ontological identity and ontological inclusion metrics to assess the StyleGAN-generated ontological labels. This study uses 300 bay window images as an architectural data set for the ontological assessment experiments.

The ontological assessment provides semantic-based queries on StyleGAN-generated architectural images by checking the validity of the building knowledge representation. Moreover, this ontological validity reveals the building element label-specific failure and success rates simultaneously.

This study contributes to the assessment process of the generative adversarial networks through ontological validity checks rather than only conducting pixel-based similarity checks; semantic-based queries can introduce the GAN-generated, pixel-based building elements into the architecture, engineering and construction industry.

Planning of manufacturing and maintenance activities together, creating a balance between maintenance and production parameters and developments on maintenance will prevent technical and economic losses and increase production efficiency. Optimizing production and maintenance scheduling enable us to see how maintenance parameters (β, η, t_p, t_r, a_[o]) will affect production performance, completion time (Ec.) and maximum machine availability, and shows which maintenance parameters minimum completion time (Ec_min) will be provided. Difference between Ec_min and maximum completion time (Ec_mak) effect to the production costs will be calculated. The purpose of this paper is to show how a genetic algorithm (GA) procedure is successfully applied to the integrated optimization model to determine optimum production policies based maintenance parameters.

GA is used for optimization and a computer program is prepared to make optimization for integrated preventive maintenance and production planning (IPMPP). Using the program, experimental studies are carried out with different number of jobs be done, to optimize production policy taking maintenance parameters into account.

Numerous experiments have been conducted with developed GA computer program and see maintenance parameters (β, η, t_p, t_r, a_[o]) effect to the production performance, Ec and maximum machine availability and at which maintenance parameters Ec_min will be provided, and also operating cost saving and maintenance parameters how affect Ec subjects are examined. Due to optimal preventive maintenance (PM) and production sequence arrangement and application of PM provided by GA, Ec_min is greatly decreased.

In this paper, GA procedure is successfully applied to the integrated optimization model to determine optimum production policies based maintenance parameters.

This study aims to explore the impact of architecture on digital communication mediums, focusing on how social media shapes the public perception and discussion of architectural spaces. It specifically examines the case of the Basilica Cistern/Istanbul, analysing social media interactions post-restoration.

Using newspaper archive scanning and survey technique, this study observed public content on Instagram focusing on the post-restoration period of the Basilica Cistern. 406 (283 valid) people who visited the Cistern and shared their experiences on Instagram between August 2022 and January 2023 participated in a survey. The analysis utilized Python for advanced correlation studies, enabling an in-depth exploration of the interplay between architectural features and social media sharing behaviours.

The analysis revealed that historical significance, lighting elements, role as a photographic backdrop significantly influenced sharing behaviours. Correlations were found between specific spatial features of the cistern and various sharing motivations, such as communication with people, personal gain, and popularity. The study highlights a diverse spectrum of motivations among users, emphasizing the relationship between these motivations and spatial features.

This study underscores the necessity for further inquiry into the intricate dynamics among digital communication, architectural spaces, and user motivations. Limitations include potential challenges in gathering data from social media due to concerns of cyber fraud and the misuse of hashtags.

This research offers novel insights into the interplay between digital communication and architecture. It underscores the potential of digital platforms as valuable data sources for architectural theorizing and practice, particularly in understanding how restorations and architectural changes are perceived and discussed in the digital space.

The aim of this paper is to redesign of morphing unmanned aerial vehicle (UAV) using neural network for simultaneous improvement of roll stability coefficient and maximum lift/drag ratio.

Redesign of a morphing our UAV manufactured in Faculty of Aeronautics and Astronautics, Erciyes University is performed with using artificial intelligence techniques. For this purpose, an objective function based on artificial neural network (ANN) is obtained to get optimum values of roll stability coefficient (C_lβ) and maximum lift/drag ratio (E_max). The aim here is to save time and obtain satisfactory errors in the optimization process in which the ANN trained with the selected data is used as the objective function. First, dihedral angle (φ) and taper ratio (λ) are selected as input parameters, C*_lβ and E_max are selected as output parameters for ANN. Then, ANN is trained with selected input and output data sets. Training of the ANN is possible by adjusting ANN weights. Here, ANN weights are adjusted with artificial bee colony (ABC) algorithm. After adjusting process, the objective function based on ANN is optimized with ABC algorithm to get better C_lβ and E_max, i.e. the ABC algorithm is used for two different purposes.

By using artificial intelligence methods for redesigning of morphing UAV, the objective function consisting of C*_lβ and E_max is maximized.

It takes quite a long time for E_max data to be obtained realistically by using the computational fluid dynamics approach.

Neural network incorporation with the optimization method idea is beneficial for improving C_lβ and E_max. By using this approach, low cost, time saving and practicality in applications are achieved.

This method based on artificial intelligence methods can be useful for better aircraft design and production.

It is creating a novel method in order to redesign of morphing UAV and improving UAV performance.

This paper aims to examine corporate social responsibility (CSR) and corporate bankruptcy. Specifically, the authors ask the following research questions: Does CSR play a role in determining the likelihood of bankruptcy? Does CSR explain the difference in the probability of that firm eventually reorganizing and emerging from bankruptcy?

The authors address these questions by testing three CSR theories using a sample of 78 firms that filed for Chapter 11 bankruptcy during the period 2007 to 2014 along with a matched sample of firms that did not.

Overall, the findings indicate that stronger CSR firms are less likely to become bankrupt relative to weaker CSR firms, all else being equal. This result is in line with the stakeholder theory of CSR. However, results do not support the conjecture that CSR matters when it comes to bankruptcy emergence. While CSR seems to influence whether a company experiences bankruptcy in the first place, having strong CSR does not seem to help a firm once it has filed for Chapter 11.

This paper extends the existing CSR literature but looks at CSR not from the angel of financial “success” but rather from financial “failure”.

The results could potentially help academics and practitioners alike in seeking understanding and reason behind CSR involvement and bankruptcy avoidance and success.

This is the first paper to test whether CSR plays a role in bankruptcy. The authors use a recent sample of firms with CSR scores that experienced a bankruptcy and a matched sample of CSR-scored firms that did not experience bankruptcy.

The purpose of this study is to increase maximum lift/drag ratio (E_max) of tactical unmanned aerial vehicles (TUAVs) via applying novel small aerodynamic modifications.

A TUAV is manufactured in Erciyes University, Faculty of Aeronautics and Astronautics, Model Aircraft Laboratory. It has both passive and active morphing capabilities. Its nosecone and tailcone shapes are redesigned to improve E_max. Moreover, active flow control is also built on its wing for improving E_max.

Using these novel small aerodynamic modifications, considerable improvement on E_max is obtained.

Permission of Directorate General of Civil Aviation in Turkey is required for testing TUAVs in real-time applications.

Small aerodynamic modifications such as nosecone-tailcone shape modifications and building active flow control on wing are very beneficial for improving E_max of TUAVs.

Small aerodynamic modifications satisfy confidence, high performance and easy utility demands of TUAV users.

The study will enable the creation of novel approaches to improve E_max value and therefore aerodynamic performance of TUAVs.

This chapter examines corporate governance–related financial reporting issues in the context of globalization. Over the past few decades, the process of globalization has substantially altered the fields of corporate governance and accounting. More specifically, Anglo-American models of corporate governance and financial reporting have received increasing momentum in emerging economies, including China. However, a review of relevant studies suggests that there is limited research examining the implementation of Anglo-American concepts in various countries regardless of their growing acceptance. This monograph extends the existing literature by comprehensively investigating the adoption of internationally acceptable principles and standards in China, the largest transitional economy that has different institutional context from Anglo-American countries. In addition, the review has a number of implications for developing the theoretical framework, and determining the research methodology for the monograph.

In light of frequent corporate scams and frauds, this paper aims to investigate the relationship of corporate illegality with the board of directors’ characteristics in Indian manufacturing companies.

The board of director characteristics of sample companies charged with violation of the Securities Exchange Board of India (SEBI) regulations from 2008 to 2013 are matched to an equivalent-sized control data set. A cross-sectional logistic regression model is applied to test the hypothesized association.

The findings suggest that the SEBI violations are less likely to occur when a large fraction of the board of directors consists of independent directors and when the individual directors have multiple appointments on the boards of other companies. However, it is observed that the size of the board and its meetings have no observable association with violation of the SEBI regulations.

This work is likely to aid future research in exploring the impact of governance mechanisms on the occurrence of illegality. In future, studies may be conducted to investigate the probability of illegal corporate events using a larger sample size and corporate governance variables which have not been examined in the present study.

The analysis provides corporate policy makers and investors an insight to evaluate the vulnerability of a company being engaged in illegality based on its board features.

The present study is distinct from previous reports as it makes a novel attempt to gauge the relationship between the board of directors’ characteristics and the occurrence of illegality in the Indian corporate section.

This research study aims to minimize autonomous flight cost and maximize autonomous flight performance of a slung load carrying rotary wing mini unmanned aerial vehicle (i.e. UAV) by stochastically optimizing autonomous flight control system (AFCS) parameters. For minimizing autonomous flight cost and maximizing autonomous flight performance, a stochastic design approach is benefitted over certain parameters (i.e. gains of longitudinal PID controller of a hierarchical autopilot system) meanwhile lower and upper constraints exist on these design parameters.

A rotary wing mini UAV is produced in drone Laboratory of Iskenderun Technical University. This rotary wing UAV has three blades main rotor, fuselage, landing gear and tail rotor. It is also able to carry slung loads. AFCS variables (i.e. gains of longitudinal PID controller of hierarchical autopilot system) are stochastically optimized to minimize autonomous flight cost capturing rise time, settling time and overshoot during longitudinal flight and to maximize autonomous flight performance. Found outcomes are applied during composing rotary wing mini UAV autonomous flight simulations.

By using stochastic optimization of AFCS for rotary wing mini UAVs carrying slung loads over previously mentioned gains longitudinal PID controller when there are lower and upper constraints on these variables, a high autonomous performance having rotary wing mini UAV is obtained.

Approval of Directorate General of Civil Aviation in Republic of Türkiye is essential for real-time rotary wing mini UAV autonomous flights.

Stochastic optimization of AFCS for rotary wing mini UAVs carrying slung loads is properly valuable for recovering autonomous flight performance cost of any rotary wing mini UAV.

Establishing a novel procedure for improving autonomous flight performance cost of a rotary wing mini UAV carrying slung loads and introducing a new process performing stochastic optimization of AFCS for rotary wing mini UAVs carrying slung loads meanwhile there exists upper and lower bounds on design variables.

The aim of this paper is to document a study, in which the SERVQUAL scale was used to evaluate hospital services, conducting a preliminary assessment of patient attitudes regarding the important aspects of service dimensions.

The SERVQUAL scale was implemented into routine use at the Baskent University Hospitals Network in Baskent, Turkey. The study consisted of 550 randomly chosen patients who presented to any member hospital in that network during January and February 2006 and received treatment as inpatients or outpatients at those healthcare facilities. The SERVQUAL scale was utilised to evaluate hospital services.

A questionnaire was completed by a total of 472 (86.0 per cent) patients. The perceived scores of the patients were higher than expected for an ordinary hospital but lower than expected for a high‐quality hospital. The highest difference between the perceived service score and the expected service score was found at the Alanya Application and Research Center in Alanya, Turkey.

The paper demonstrates the use of the SERVQUAL scale in measuring the functional quality of the hospitals assessed.