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A comprehensive analysis of apricot drying methods via multi-criteria decision making techniques
(Wiley, 2024-10) Abdulvahitoğlu, Aslı; Abdulvahitoğlu, Adnan; Cengiz, Nurten; 382420
Food and food safety have been among the most important issues for people throughout history. Societies have always tried to be self-sufficient in food and have avoided becoming dependent on foreign sources. However, the fact that most foods are seasonal and the increasing population's food consumption have revealed the need to preserve foodstuffs for a long time. The old and well-known method used today for extending shelf life is the drying process. The drying process is preferred over other preservation methods for reasons such as being more economical, easier to transport, having a longer shelf life, more concentrated nutritional value, and containing fewer additives. This ensures that dried foods are of higher quality in terms of physical, chemical, microbial properties, and nutritional values compared to other packaged foods. While the drying process was traditionally done over a long period, technological advancements have led to the production of higher quality and more valuable commercial products in a shorter time. In this study, traditional and technological methods used in drying apricots were compared according to the parameters determined by experts in the field. Since multiple parameters are effective in the comparison, Multi-Criteria Decision Making (MCDM) techniques were used. The optimum apricot drying method was determined by combining the results obtained from different MCDM techniques with the Borda rule.
A Comprehensive Review of Convolutional Neural Networks based Disease Detection Strategies in Potato Agriculture
(Springer, 2024-09) Gülmez, Burak; 222298
This review paper investigates the utilization of Convolutional Neural Networks (CNNs) for disease detection in potato agriculture, highlighting their pivotal role in efficiently analyzing large-scale agricultural datasets. The datasets used, preprocessing methodologies applied, specific data collection zones, and the efficacy of prominent algorithms like ResNet, VGG, and MobileNet variants for disease classification are scrutinized. Additionally, various hyperparameter optimization techniques such as grid search, random search, genetic algorithms, and Bayesian optimization are examined, and their impact on model performance is assessed. Challenges including dataset scarcity, variability in disease symptoms, and the generalization of models across diverse environmental conditions are addressed in the discussion section. Opportunities for advancing CNN-based disease detection, including the integration of multi-spectral imaging and remote sensing data, and the implementation of federated learning for collaborative model training, are explored. Future directions propose research into robust transfer learning techniques and the deployment of CNNs in real-time monitoring systems for proactive disease management in potato agriculture. Current knowledge is consolidated, research gaps are identified, and avenues for future research in CNN-based disease detection strategies to sustain potato farming effectively are proposed by this review. This study paves the way for future advancements in AI-driven disease detection, potentially revolutionizing agricultural practices and enhancing food security. Also, it aims to guide future research and development efforts in CNN-based disease detection for potato agriculture, potentially leading to improved crop management practices, increased yields, and enhanced food security.
A modern approach to data privacy with federated learning
(Maltepe University, 2023) Kalkavan, Ziya Can; Şahinaslan, Ender; Şahinaslan, Önder; 122635
Today, information technologies and their usage areas are increasing day by day. Advanced technologies such as the internet of things, smart devices and applications, machine learning and arti cial intelligence are a driving force in the spread of their usage areas. The increase in prevalence and use also increases the production and sharing of data. This increase causes various security problems and concerns in terms of data privacy. Therefore, a balance has to be struck between the need for data sharing and its security. For this purpose, the use of federated learning methods has been examined. Traditional data sharing methods focus on centralized solutions for the processing of private and sensitive data of data subjects, but this causes various problems and raises concerns in the sharing of sensitive data. In the federated learning model, it trains locally without data sharing. It has a distributed arti cial intelligence approach that can run di erent resources together. Thus, it o ers an alternative solution that can help address data privacy concerns arising from the traditional method. In this study, the basic principles, usage areas, advantages and difficulties of federated learning, which is also accepted as a modern approach in data privacy, are discussed. The data and examples obtained in the study will be presented.
A Multi-Criteria Decision-Making Approach to Enhancing Border Security Against Irregular Migration
(Manisa Celal Bayar Üniversitesi, 2025-12) Abdulvahitoğlu, Adnan; Güçlüten, Çağrı; Tunca, Hakan Ömer; 382420
International migration has become a fundamental phenomenon shaping social, political, and economic structures in the globalized world. The increase in human mobility is directly linked to the strengthening of global connections in areas such as economy, technology, culture, and education. Since the Second World War, poverty, unemployment, and political oppression have driven individuals toward countries offering better living conditions. The European Union (EU) member states and the United States are among the primary destinations for migration. The recent surge in irregular migration has led these countries to adopt stricter and more protectionist policies. Located along the EU’s transit route, Türkiye is a strategic actor in border security, with the prevention of irregular migration constituting a key policy objective. This study employs the Stepwise Weight Assessment Ratio Analysis (SWARA) method to evaluate border security systems and identify priority measures. Based on the assessments of nine experts with an average of 15 years of field experience, the three most critical components were identified as border patrol activities, the use of unmanned aerial vehicles, and internal security patrols in border provinces. The findings provide a concrete roadmap for policymakers in terms of resource allocation, operational planning, and technological investment.
A novel hybrid MCDM framework combining TOPSIS, PROMETHEE II, and VIKOR for peach drying method selection
(Elsevier, 2024-11) Gülmez, Burak; 222298
The selection of optimal drying technologies for peach processing presents a complex decision-making challenge due to multiple conflicting criteria. This study introduces a novel hybrid multi-criteria decision-making (MCDM) framework combining TOPSIS, VIKOR, and PROMETHEE II methods to evaluate eight drying technologies. The evaluation was conducted across twelve criteria, encompassing product quality, operational efficiency, economic factors, and environmental impact. Data were collected from five industry experts through structured matrices. The results demonstrate that vacuum drying emerged as the optimal technology, maintaining the top position in 75 % of sensitivity scenarios. Freeze drying and heat pump drying consistently ranked among the top three alternatives across all methods. The correlation analysis revealed strong agreement between VIKOR and PROMETHEE II rankings (0.857), while TOPSIS provided complementary insights. Sensitivity analysis identified energy consumption, investment cost, and nutritional retention as the most critical factors influencing technology selection. The findings indicate that advanced drying technologies significantly outperform traditional methods in terms of overall performance. This research provides a comprehensive framework for evidence-based decision-making in food processing technology selection and establishes quantitative benchmarks for future technology evaluations in the fruit drying industry.
A simple magnetic resonance scoring system for predicting suitability for primary anterior cruciate ligament repair
(Erzincan Binali Yıldırım Üniversitesi, 2024-08) Kılızay, Yusuf Onur; Erdoğmuş Gülcan, Server; Yılmaz, Hazal Berfin; Yalçın, Gülay; 334080; 392815; 202217; 308202
Objective: This study developed a simple magnetic resonance imaging (MRI) scoring method to assess the suitability of the anterior cruciate ligament (ACL) remnant for primary repair and aimed to test the success of this scoring method on operative images of patients undergoing early ACL surgery. Methods: The video-recorded operative images of patients who underwent ACL reconstruction and the MRI images of the same patients taken in our hospital were retrieved from the hospital archive. Two surgeons evaluated whether the ACL could be primarily repaired on the video images recorded during the operation. Magnetic resonance primary repairability (MPR) scores and repairability status on video images were compared. Results: The mean age of the patients was 30.4 ± 8.6 years. The evaluation of remnant size on MRI showed moderate agreement between observers (P < .001, Cohen’s kappa = 0.605). The assessment of the repairability score based on MRI and video observation demonstrated substantial agreement between observers (P < .001, Cohen’s kappa = 0.743 and P < .001, Cohen’s kappa = 0.762, respectively). Conclusion: The MR primary repairability score (MPR score) is suitable for use in the decision-making process for the primary repair of the ACL.
A Symmetry-Based Spherical Fuzzy MCDM Approach for the Strategic Assessment of Alternative Fuels Toward Sustainable Energy Policies
(MDPI, 2025-06) Abdulvahitoğlu, Adnan; 382420
Alternative fuels obtained from renewable sources, providing low greenhouse gas emissions and high energy efficiency, offer significant advantages in terms of sustainability. In addition, the wide applicability of these fuel types in sectors such as housing, transportation, and industry creates significant opportunities in terms of reducing dependence on fossil fuels. Alternative fuels should be evaluated not only according to their environmental contributions but also based on multi-dimensional criteria such as economic cost, technical suitability, sustainability level, fuel properties, infrastructure requirements, and social acceptance. In this context, a comparative analysis of alternative fuel types in terms of various basic parameters is no longer optional, but a necessity. These parameters generally include symmetrical relationships such as balanced trade-offs between economic and environmental dimensions or mutual effects between technical and social criteria. However, they also show variability and uncertainty depending on the fuel type. Therefore, Spherical Fuzzy Multi-Criteria Decision Making (SF-MCDM) methods, which can effectively represent symmetry in membership and hesitation degrees, have been used to achieve more realistic and reliable results in uncertain decision environments. The proposed model provides a systematic and flexible evaluation structure that helps decision makers determine the most appropriate alternative fuel options and contributes to the formation of sustainable energy policies.
A theoretical and experimental investigation using a multi-criteria decision-making approach to investigate the use of oak cupule biomass as a sustainable corrosion inhibitor for mild steel in acidic solution
(Elsevier, 2025-08) Şişmanoğlu, Sedef; Mert, Mehmet Erman; Doğru Mert, Başak; Abdulvahitoğlu, Adnan; 382420
This study investigates adsorption mechanism and inhibition efficiency of oak cupule (OC) biomass on mild steel (MS) corrosion in an acidic medium through quantum chemical calculations and electrochemical analysis. The chemical composition of OC was characterized using FTIR-ATR, mass spectrometry, and UV–Vis spectroscopy. Electrochemical impedance spectroscopy was conducted at varying inhibitor concentrations, complemented by surface morphology analysis via SEM and contact angle measurements after 168 h of immersion. At 250 ppm, the inhibition efficiency reached 92.5 %, attributed to the presence of tannins and polyphenolic compounds. Adsorption followed the Langmuir isotherm, with an equilibrium constant of 2.36 L mg−1 and a Gibbs free energy change of −12.08 kJ mol−1. Contact angle measurements indicated increased hydrophobicity due to the formation of protective layer. Potential of zero charge (PZC) analysis confirmed electrostatic interactions between OC molecules and the positively charged MS surface in 0.5 M HCl. Molecular insights were obtained using Density Functional Theory (DFT) with the B3LYP/6–311++G(d,p) method, revealing electronic properties such as frontier molecular orbital energies, energy gap and atomic charges. The optimum result was determined by analyzing the experimental findings at different inhibitor concentrations and different durations using Multi Criteria Decision Making (MCDM) methods. It was found that scenario S5 provided the optimum result.
A Zone of Death: Ballardian Necropolitical Sovereignty in Concrete Island
(RumeliYa, 2025-07) Özçelik, Kaya; 351393; Yılmaz, Yakup
This study focuses on J.G. Ballard’s Concrete Island (1974) through the theoretical lens of necropolitics defined by Achille Mbembe to analyse the abandonment and exclusion of certain lives within the infrastructural settings of late modernity. Centring on the protagonist Robert Maitland, stranded in an abandoned interstice of a London motorway - an island within a hyperfunctioning urban framework, the novel details the bitter struggles of an individual to survive. His descent into an utter physical deterioration and psychological disintegration depicts a necropolitical rationale in which the system of the state and its technological mechanisms determine not only who is entitled to live, but more crucially, who can be permitted to die. In this context, this study posits that the motorway island in the novel portrays a necropolitical zone as an uncontrollable space that partially exists within and outside the urban framework, where normative protections and social acknowledgements are put on hold. It is through this marginalisation that Ballard also criticises the immunitarian structures of neoliberal urbanism. Through this spatial marginalisation, Ballard critiques the immunitarian structures of neoliberal urbanism, which prioritise speed, efficiency, and visibility, while transforming certain bodies and lives into throwaways. Putting Maitland’s ongoing dehumanisation process in front of the eyes of the reader, Ballard illustrates how sophisticated infrastructure leads to a desolate environment with human detritus, reminding the reader of Mbembe’s claim that the ultimate expression of sovereign power is verified in its capacity to determine the individuals who are allowed to continue living and who are not. Building on Roberto Esposito’s immunitary paradigm and urban biopolitical theory, this study explores Ballard’s Concrete Island within the contemporary discussions focusing on urban isolation, social exclusion, and the politics of violence regarding the fast-developing modern world.
An Ardl Model Analysis Of Turkish Airlines’ Impact As A Carrier Power On Türkiye–Africa Trade Volume
(Dokuz Eylul University, 2025-09) Sönmezay, Mine; 409821
Türkiye has increased its presence in the continent by using transportation diplomacy as an effective tool within the scope of the African opening policy that it has initiated since the early 2000s. This study examines Türkiye’s economic power projection in Africa through transportation diplomacy. In the study, economic power projection through diplomacy is considered as a theoretical framework; the connections between Türkiye’s transportation infrastructure investments in Africa, the expansion of its flag carrier airline network and the increase in its trade relations are analyzed with quantitative data. In the study, time series analyses are conducted on Turkish Airlines (THY) data and Türkiye-Africa foreign trade volume. The analysis was carried out with annual data for the period 2001–2024. Before proceeding to model construction, the stationarity levels of the series were examined, then the ARDL (Autoregressive Distributed Lag) method was applied and diagnostic tests of the model were performed. In the last stage, Granger causality analysis was performed. The results show that trade volume, transportation capacity and destination network act together in a long-term relationship in Türkiye’s transportation-based economic engagement towards Africa. This situation shows that the expansion of transportation infrastructure supports the trade volume between the two countries. These findings reveal that transportation diplomacy is positioned not only as a supportive but also as a guiding and sustainable foreign policy tool in Türkiye’s economic interaction with the African continent. The sustainability of this policy, its institutionalization and concrete suggestions for policy makers are discussed in the conclusion section; strategic initiatives are suggested for Türkiye to become a more permanent and effective actor in Africa in line with its mediumsized power profile. The results show that THY’s passenger transportation capacity positively affects the trade volume in the short and long term.
An examination of the psychological resilience of preschool children with and without Montessori education
(Wiley, 2024-08) Sezgin, Elif; Şener, Tülay; 157389
This study aims to compare the psychological resilience of children who receive Montessori education with those who do not receive Montessori education(the group attends a school where education is provided according to the Preschool Education Programme of the Ministry of National Education). The study used the Relational Scanning Model Comparison Types to compare the psychological resilience of children who received Montessori education with those who did not. The research involved 99 children aged 3–6 years who received regular preschool and Montessori education during the 2021–2022 academic year. It is reported that no developmental or neurological defects were observed in any of the participants. The study group comprised 50 children aged 3–6 years from a private kindergarten affiliated with National Education in Nilüfer district and 49 children aged 3–6 years from a private Montessori kindergarten in Nilüfer district. According to the study, children who received Montessori education demonstrated comparatively higher levels of psychological resilience than those who did not receive Montessori education. It has been observed that there exists a weak but meaningful correlation between the psychological resilience of children and their social relationships/social performance, particularly in those who have received Montessori education for an extended duration. As a result, it can be inferred that Montessori education positively impacts children's psychological resilience.
Analysis of Logistical Processes in Honey Export from Türkiye to Europe
(Turkish Science and Technology Publishing (TURSTEP), 2025-11) Sönmezay, Mine; 409821
The study examines the logistical challenges faced in exporting honey from Türkiye to Europe, emphasizing their significance for export performance and sectoral competitiveness. Although Türkiye benefits from a strategic geographical position and a developed land–sea transport network, several constraints continue to impede efficient market access. High transportation costs, prolonged certification and analysis procedures, and lengthy customs and border passage times collectively reduce operational efficiency and diminish firms’ profitability. Using semi-structured in-depth interviews with 13 honey-exporting firms selected through convenience sampling, the research captures exporters’ practical experiences and identifies the critical pain points in the logistics chain. Findings indicate that maritime and multimodal transport are the predominant shipping methods, with glass jars preferred for their market appeal, while cold chain applications remain limited and are used only in exceptional circumstances. The most critical bottlenecks involve extended certification processes and waiting times at customs, both of which significantly increase costs and delay deliveries. Based on these insights, the study highlights the need for digitalization initiatives, targeted investments in logistical infrastructure, and streamlined certification procedures to enhance the efficiency of honey exports to Europe. Implementing such improvements is expected to reduce costs, accelerate processes, and strengthen the competitiveness of Türkiye’s honey sector in European markets.
Analysis of research on 21st century skills: 2015-2022
(Efe Academy Publishing, 2022) Şengel, Erhan; Aydın, Sevim; 385249; Alanoğlu, Müslim
Since societies are constantly moving and focused on development, educational organizations should improve their education processes. Today, we could say that the most significant change has occurred in technology. The digital transformation experienced with the development of technology has also caused educational organizations to be affected by this transformation. Educational organizations should be ahead of society and lead change to meet social needs. Being a learning organization of educational organizations is closely related to the transformations they will experience. For this reason, it is crucial to address the development processes of educational organizations. I hope that the perspective presented by this book will be beneficial for educators and offer a different perspective on the digital transformation of the education process. I would like to thank esteemed academicians and the EFE ACADEMY family, who contributed to the book's preparation.
Assessing competition in the Turkish cement industry: insights from the boone indicator
(Emerald Publishing Limited, 2024-08) Yıldız, Hakan; Köprücü, Yılmaz; Şengül, Serkan; 355807
Purpose – This paper investigates the degree of competitiveness within the Turkish cement industry, employing firm-level quarterly data spanning from 2008 to 2016. Design/methodology/approach – To assess the level and trajectory of competition among Turkish cement firms, we employ the Boone indicator (β) as formulated by Boone (2008). This indicator, rooted in the concept of relative profit differences (RPD), serves as a robust metric for gauging competitive dynamics. According to the ß indicator, firms exhibiting higher relative efficiency are expected to secure greater profits and market shares in a fiercely competitive market. Additionally, we utilize concentration indices for the purpose of revealing comparable findings. Findings – Empirical findings reveal that an enhancement in firms’ efficiency corresponds to a proportionally modest increase in either market share or profits, implying a lower degree of competition within the Turkish cement industry. Although the specific magnitudes of ß estimates exhibit temporal fluctuations, we may conclude that the Turkish cement industry does not conform to the ideals of perfect competition. The concentration indices calculated on the sample also support this result. Research limitations/implications – This research is limited to the Turkish cement companies over the period 2008–2016. Originality/value – The studies measuring the level of competition in the Turkish cement sector are generally based on concentration ratios. In this study, we assess the competition level by using a different methodology based on parametric procedures.
Atrial Fibrillation Among ICU Patients with Type 2 Respiratory Failure: Who Is at Risk and What Are the Outcomes?
(MDPI, 2025-06) Mentes, Oral; Celik, Deniz; Yıldız, Murat; Özdemir, Tarkan; Güllü, Yusuf Taha; 156045
Background: Atrial fibrillation (AF) frequently occurs in individuals with hypercapnic type 2 respiratory failure and has the potential to adversely affect patient outcomes. This study sought to investigate the clinical features and prognostic significance of atrial fibrillation in patients admitted to the intensive care unit with hypercapnic type 2 respiratory failure. Methods: This retrospective, single-center study included 200 adult patients diagnosed with hypercapnic type 2 respiratory failure between May 2022 and May 2023. Patients were grouped according to whether atrial fibrillation was present or not. Demographic, laboratory, and echocardiographic findings, comorbidities, and outcomes were compared. Kaplan–Meier survival analysis and Cox regression were used to identify mortality predictors. Results: AF was present in 50.5% of patients. Those with AF were older, had higher Charlson Comorbidity Index scores, and a greater prevalence of heart failure (p < 0.001). No significant differences were found in arterial blood gas values. AF patients had higher urea, creatinine, and BNP levels, and lower hemoglobin, lymphocyte, eosinophil, and monocyte counts (p < 0.05). Echocardiography showed more severe tricuspid and mitral regurgitation, lower ejection fractions, and higher systolic pulmonary pressures in the AF group. About 20% of AF patients were not receiving anticoagulants at ICU admission. AF was associated with shorter survival (49.6 ± 4.07 vs. 61.4 ± 3.8 days, p = 0.031) and 1.6-fold higher mortality risk (HR: 1.60, 95% CI: 1.04–2.47). Advanced age and low hemoglobin were independent predictors of mortality. Conclusions: AF is frequent among patients with type 2 respiratory failure and is linked to increased mortality. Despite known complications, treatment remains underutilized. AF should be actively screened during ICU admissions for respiratory failure.
Bibliometric analysis and mapping of the benefits and challenges of cloud ERP systems
(İstanbul Üniversitesi, 2023) Şahinaslan, Önder; Şahin, Ahmet; Şahinaslan, Ender; 122635
Enterprise resource planning is an effective tool in achieving management goals. Cloud ERP systems and applications are platform-independent offerings of this management tool in a cloud environment. This study was carried out to make sense of the advantages, difficulties and relationships of the cloud ERP system with scientific studies. For this purpose, the Scopus, Web of Science and Google Scholar databases and the Publish or Perish, WOSviewer and Excel applications were used. Statistical analysis, text mining, word network association, visual mapping and trend analysis were performed. As a result of the analysis, it was found that the total rate of publications produced in the last 3 years was 43%, the most cited work was Springer (20%) and the country was the USA (10%). It was determined that the three most frequently used keywords were ‘cloud ERP’, ‘ERP system’ and ‘ERP’. A strong correlation was found between ‘study’ and ‘challenge’ in text mining. The challenge was closely related to ‘SMEs’, ‘data’, ‘provider’, ‘technology’, ‘literature’ and ‘cloud environment’. In recent studies, the concept of ‘cloud ERP implementation’ in SMEs has come to the fore.
Bilateral locked posterior shoulder dislocation overlooked for 15 months treated with the modified McLaughlin procedure: A case report
(Bayçınar Tıbbi Yayıncılık, 2023) Saylık, Murat; Gökkuş, Kemal
Neglected bilateral posterior shoulder dislocation is a rare injury caused primarily by an epileptic seizure. The injury is usually associated with a reverse Hill-Sachs lesion in the anteromedial aspect of the humeral head. The modified McLaughlin technique may avoid instability and osteoarthritis when 20 to 40% of the articular surface is affected by reverse Hill-Sachs. In this article, we present the clinical results of a case overlooked in the literature for the longest time, i.e., for 15 months. A 46-year-old male patient was receiving treatment for epilepsy for five years. There was no fall or trauma in the four seizures he had during this time. The last seizure was 15 months ago. When the patient presented to our clinic, both shoulders were symmetrically deformed, the anterior shoulder contour disappeared (empty socket sign), and there was a loss of upper contour. The computed tomography (CT) scan revealed a posteriorly locked dislocation with a reverse Hill-Sachs lesion in 32% of the left shoulder and 36% of the right shoulder. We applied the modified McLaughlin procedure to the dominant right shoulder and, two months later, we used it to the left shoulder (with a graft taken from the anterior superior iliac spine). At one-year of follow-up, both shoulders were moderately functional: forward elevation left 70° and right 50°, abduction left 40° and right 60°, and internal rotation: the back of the hand could touch the fifth lumbar vertebra. Meanwhile, the patient did not suffer from recurrent dislocation. The pre- and postoperative Constant-Murley Scores for the right and left shoulder were 30/52 and 11/48, respectively. Although the operational outcomes using the modified McLaughlin technique were not ideal, with no recurrence, the patient seemed to be satisfied with this outcome. In conclusion, in neglected locked shoulder fracture-dislocations, the modified McLaughlin technique is a method that can respond to the pathophysiology by eliminating reverse Hill–Sachs lesion.
Bridging the Education–Employment Gap in Europe: An AI-Driven Approach to Skill Matching
(MDPI, 2025-10) Sanguino, Ramón; Çağlarırmak Uslu, Nilgün; Karahan Dursun, Pınar; Özdemir, Caner; Barroso, Ascensión; Sánchez-Hernández, María Isabel; Gaga, Eftade O.; 414023
Education–employment mismatch represents a persistent structural issue across Europe, especially among young people. In line with the digital transformation, green transformation and population aging, new jobs are emerging every day, and some of the older jobs are disappearing. However, existing skills of job seekers may not fit these new jobs. This article presents results from the EMLT + AI project, which aimed to explore how artificial intelligence (AI) tools could contribute to reducing such mismatches and supporting inclusive labor market integration. Based on a sample of 1039 participants across European countries, we analyzed the alignment between individuals’ educational background and their current employment, as well as their willingness to reskill. Using binary logistic regression models, the study identifies key factors influencing mismatch and reskilling motivation, including educational level, type of occupation, the presence of meaningful career guidance, and AI-based job search practices. The results indicate that individuals who hold a master’s degree and work in positions requiring at least bachelor’s level degrees are more likely to be matched with jobs that align with their field of study. However, access to mentoring remains limited. The paper concludes by proposing an AI-supported training model integrating career recommendation systems, flexible learning modules, and structured mentoring. These findings provide empirical evidence on how emerging technologies can foster more responsive and adaptive education-to-employment transitions, contributing to policy innovation and the development of inclusive digital labor ecosystems in Europe.
Çanakkale war propaganda posters evaluation according to graphic design
(Livre de Lyon, 2025-11) Ayçe, Mehmet Taragay; Ayçe, Meryem İlayda; 21436; Turan, Ersin; İris, Mesut
Jean Jacques Rousseau once said, “The moment a man fenced a piece of land and said ‘this is mine,’ equality among people was destroyed and wars began.” (Ayhan, 2007). Throughout human history, wars have inevitably affected human life, sometimes causing great destruction and even the complete annihilation of civilizations. With the advancement of technology and its integration into daily life, developments in the field of warfare have resulted in armies becoming more powerful, mobile, and destructive. Alongside technological advancements, political movements and media institutions worldwide have also transformed. Before going to war, countries have had to use media and propaganda as effectively as warfare itself to justify their actions to their own people and to other countries. Indeed, propaganda efforts have often proven to be more effective than military actions. During World War I, European states, seeking colonies and land, engaged in propaganda efforts to justify their actions to the world’s people and gain military support. Prior to and during the Gallipoli Campaign, the propaganda efforts of the British, French, and Australian governments led to groups that had never before confronted each other to unleash death upon one another from opposing trenches. Counter-propaganda efforts during wartime have been employed in many wars since and are still in use today.
Capital-Labor-Output Nexus in Türkiye's Fisheries Sector: Panel ARDL Analysis
(Isparta University of Applied Sciences, 2025-09) Şengül, Serkan; 355807
This study analyzes the relationship between production, labor force and capital investments in the fisheries sector in the Marmara, Aegean, Mediterranean, Western Black Sea and Eastern Black Sea regions of Türkiye and examines their effects on sectoral growth and employment. In the study, total fish production, number of employees in the sector and capital investments (number of vessels) variables are used in the panel data analysis covering the period 2006-2023. According to the results of the analysis, the labor force has a positive and significant effect on production, but the effect of capital on production is negative. This shows that capital investments in the Turkish fisheries sector have not been able to provide the expected productivity growth. Moreover, capital investments are found to support employment by increasing labor demand. The long-run cointegration results reveal a strong equilibrium relationship between the variables. This study contributes to the existing research in the literature and provides strategic recommendations for the development of sustainable growth and productivity policies in Türkiye's fisheries sector. In particular, supporting aquaculture activities, modernizing capital investments and taking regional differences into account are critical for the long-term sustainability of the sector.

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