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This study explores the impact of Large Language Models (LLMs) on digital diplomacy and their role in international relations. LLMs have the potential to enhance diplomatic processes by overcoming language barriers, increasing mutual understanding through real-time translation, and automating diplomatic communications. However, they also present significant challenges, including risks of misinformation and the need for robust data security measures. Developing international standards and ethical guidelines for the use of LLMs in diplomatic contexts is essential to fully leverage their potential and mitigate associated risks. Emphasizing human oversight in the deployment of LLMs in sensitive diplomatic scenarios will ensure that digital diplomacy improves rather than complicates international relations. [ABSTRACT FROM AUTHOR]

Biomimicry is a discipline that develops human-made solutions inspired by the design and functions of living things in nature. This approach aims to provide innovative and effective solutions in terms of sustainability and efficiency. Artificial intelligence is a field of technology that enables computer systems to have human-like intelligence. These systems can assist humans by performing tasks such as data analysis, learning and problem solving and have great potential in solving complex problems. This article evaluates the interaction of participatory urban design, biomimicry and artificial intelligence technologies in the field of urban planning and design. Biomimicry explores how natureinspired designs and processes can be used in urban spaces, while AI technologies use analytical and predictive capabilities to improve the efficiency of urban systems. The article discusses examples of both concepts at the urban scale and discusses the benefits that arise from bringing these stakeholders together. The use of biomimicry principles in urban planning and design contributes to issues such as sustainability, energy efficiency, efficient use of natural resources, energy and resource conservation, adaptation and resilience. Artificial intelligence technologies, on the other hand, increase efficiency while solving complex and difficult problems in urban areas with big data analytics, predictive capabilities and automated decision-making systems. In this article, a participatory process model is proposed to reveal the interaction of biomimicry and artificial intelligence technologies in urban planning and design. Increasing research in this field will contribute to the optimization of planning processes and the realization of sustainable development goals. [ABSTRACT FROM AUTHOR]

Copyright of Osmangazi Journal of Medicine / Osmangazi Tip Dergisi is the property of Eskisehir Osmangazi University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Osmangazi Journal of Medicine / Osmangazi Tip Dergisi is the property of Eskisehir Osmangazi University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Objective: One of the serious mental disorders in which people interpret reality in an abnormal situation is schizophrenia. A combination of extremely disordered thoughts, delusions, and hallucinations occurs due to schizophrenia, and the person's daily functions are seriously impaired due to this disease. For general cognitive activity analysis, electroencephalography signals are widely used as a low-resolution diagnostic tool. This study aimed to diagnose schizophrenia using the transfer learning method by including the EEGs of 73 patients diagnosed with schizophrenia, and 67 patients from the healthy group. Material and Method: In the first step of the study, digital electroencephalography signal data was converted into spectrograms to make them usable. In the classification phase, ResNet18, ResNet50 and EfficientNet models, which are FastAI, and Convolutional Neural Network (CNN) based deep learning models, were used. Results: Despite the complexity of electroencephalography data, CNN-based models in the study were successful in capturing different aspects of neurophysiological activity. The best performance was obtained from the ResNet-50 model with an accuracy rate of 97%. Afterwards, the classification process was finalized with 95% ResNet-18, and 83% EfficientNet models, respectively. Conclusion: It is thought that the classification performance of the result obtained in the application is promising and may be a guide for future studies. [ABSTRACT FROM AUTHOR]

In recent years, developments in Artificial Intelligence (AI) and MachineLearning (ML) technologies have had profound effects on all sectors. The logistics industry has also become a sector where these technologies are being used to a significant extent. The emergence of intelligent logistics systems offers several opportunities for the advancement of this sector by facilitating digital transformation in supply chain and logistics. The aim of this study is to provide a comprehensive review of recent studies examining the use of AI and ML systems in the logistics industry. In this study, which is designed as a systematic study, firstly, based on the existing literature, the basic concepts, trends, researchers and countries working on AI and ML systems in the logistics sector are examined by bibliometric analysis method. Then, information about the prominent AI and ML systems in logistics is given. It is seen that the most frequently used AI and ML technologies in logistics are Deep Learning, Optimization, Internet of Things (IoT), Data Mining and Predictive Models. The methodologies presented in the study have a practical importance in increasing efficiency, transparency and planning in the logistic [ABSTRACT FROM AUTHOR]

Proton exchange membrane fuel cells (PEMFCs) are used commercially in automobiles, buses, uninterruptible power supplies, and combined heat power systems, holding a significant place in the fuel cell market. Fuel cell performance is characterized by polarization curves in design and manufacturing processes. This study predicts a PEMFC's polarization curves using comparative artificial intelligence (AI) models trained and tested under different operational conditions. The AI model inputs are cell temperature, humidity, anode-cathode flow, and membrane resistance. The outputs are cell voltage and current density. The model outputs are compared with experimental values for 50°C, 100% humidity using MATLAB software. The average Root Mean Square Error (RMSE) for the ANFIS prediction is 0.056112, while for the ANN prediction it is 0.011919. These results indicate that the Artificial Neural Network (ANN) method outperforms the Adaptive Neuro Fuzzy Inference System (ANFIS) in predicting the behavior of the PEMFC's Membrane Electrode Assembly (MEA). The models showed promising results with high accuracy. [ABSTRACT FROM AUTHOR]

There is a significant change and development process in the 21st century. One of the most important developments of this century, which is called the digitalization age, is undoubtedly the effective use of artificial intelligence. Although there are many question marks regarding the application of artificial intelligence, which is one of the most important parts of digitalization, artificial intelligence provides significant advantages. Artificial intelligence is applied in the field of public administration as well as in many other fields and adds an important dimension to the research in this field. Today, many public institutions integrate digital applications such as artificial intelligence into their bodies and make effective use of these applications in order to adapt to the changing and developing world and to meet the demands and expectations of citizens. The purpose of this study, which was conducted with the literature review method, is to show the place and importance of artificial intelligence applications in public administration, which enable faster and more effective presentation of transactions. [ABSTRACT FROM AUTHOR]

In 2020, after the global pandemic traditional lifestyle, working life and educational processes began to change radically. During this period, educational institutions turned to distance learning; attempts were made to carry out the measurement and assessment processes together with the educational process through distance learning platforms. Distance learning and online assessment and evaluation processes continued after the end of the pandemic. Although this situation brought some convenience for lecturers and students, it raised questions about the validity of online examinations. Data on the use of artificial intelligence algorithms in online exams has led to questions about the validity and reliability of this exam model. Among the applications of artificial intelligence, it has been discussed that large language models (LLM), which are most likely to be associated with the educational process, can be used to answer online exam questions. In this context, this study investigates the performance of LLMs in online exams, which are mostly designed as multiple-choice tests, and the measures that can be taken against AI cheating, which has become an important problem. For this purpose, a set of questions was created that had previously been used in online exams. The questions were posed to LLMs and answers to the questions were sought, e.g. the potential of these models to get the questions right/wrong and which types of questions are more likely to be answered correctly. The study found that LLMs answered most of the questions correctly. In the light of the data obtained, preventive measures for AI cheating are discussed. [ABSTRACT FROM AUTHOR]

The research addresses the use of artificial intelligence in educational processes and especially in the field of graphic design. The aim of this research is to determine students' opinions about the artificial intelligence applications that graphic arts students use as support while designing in the graphics course in visual arts education. Looking at the opinions of graphic design students about artificial intelligence applications; They state that students are increasingly using artificial intelligence technologies in their design processes and that these technologies make their work easier by offering new and innovative approaches to designers. In addition, it is seen that they regularly use artificial intelligence applications to get inspiration during the design process, save time by reducing workload, and improve their design skills. The findings show that students appreciate the practicality and efficiency of artificial intelligence applications, but they are concerned that they may, at least partially, dull creativity and lead to uniform designs. In addition, it was found that students were cautious about taking artificial intelligence support in all of their courses and adopted the view that this technology should be used consciously. In conclusion; The research shows that artificial intelligence-supported applications play an important role in the field of graphic design and that a conscious approach is important for students to use this technology effectively. It has been concluded that the use of artificial intelligence is quite common among students, that they see artificial intelligence-supported applications as a tool that inspires them when designing, enables faster development and significantly reduces the workload. [ABSTRACT FROM AUTHOR]

Progress in digital health and telemedicine has brought forth instruments can enhance the accessibility and efficacy of eye care services. Current research shows how technology-enabled approaches are changing the way care is provided. Traditional diagnostic methods rely on physician expertise, resulting in high misdiagnosis rates and data inefficiency. Integrating ophthalmology with artificial intelligence (AI) promises to overhaul current diagnostic approaches, potentially making a significant clinical impact. Deep learning, an emerging facet of machine learning (ML), can uncover complex data structures without explicit rule specifications. The review centers on the revolutionary potential of AI in the identification and treatment of ocular disorders, such as diabetic retinopathy, degenerative maculopathy, retinal diseases, corneal diseases, anterior ocular region issues, and glaucoma. It explores AI-driven advancements in image analysis, pattern recognition, and ML techniques for individualized treatment plans, early diagnosis, and categorization. The difficulties with data standards, interpretability, and integration are discussed in this paper into clinical practice. It also emphasizes the potential of AI to enhance screening efficiency, reduce physician workload, and improve patient outcomes in ocular pathologies. [ABSTRACT FROM AUTHOR]

Copyright of Turkiye Klinikleri Journal of Dental Sciences is the property of Turkiye Klinikleri and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Ankara Hacı Bayram Veli Üniversitesi Hukuk Fakültesi Dergisi is the property of Ankara Haci Bayram Veli Universitesi Hukuk Fakultesi and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Firat University Journal of Experimental & Computational Engineering (FUJECE) is the property of Firat University Journal of Experimental & Computational Engineering (FUJECE) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Art Vision is the property of Ataturk University Coordinatorship of Scientific Journals and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Duzce University Journal of Science & Technology is the property of Duzce University Journal of Science & Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Duzce University Journal of Science & Technology is the property of Duzce University Journal of Science & Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Duzce University Journal of Science & Technology is the property of Duzce University Journal of Science & Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Sports Sciences Research / Spor Bilimleri Araştırmaları Dergisi is the property of Journal of Sport Sciences Researches / Spor Bilimleri Arastirmalari Dergisi and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Bulletin of Accounting & Finance Reviews / Muhasebe ve Finans İncelemeleri Dergisi is the property of Muhasebe & Finans Incelemeleri Dergisi and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Intelligent Transportation Systems & Applications is the property of Journal of Intelligent Transportation Systems & Applications and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Turkiye Klinikleri Journal of Health Sciences / Türkiye Klinikleri Sağlık Bilimleri Dergisi is the property of Turkiye Klinikleri and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Turkiye Klinikleri Journal of Health Sciences / Türkiye Klinikleri Sağlık Bilimleri Dergisi is the property of Turkiye Klinikleri and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Itobiad: Journal of the Human & Social Science Researches / İnsan ve Toplum Bilimleri Araştırmaları Dergisi is the property of Itobiad: Journal of the Human & Social Science Researches and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Pamukkale Medical Journal is the property of Pamukkale Journal of Medicine and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Yapay Zeka (AI), insan zekasını taklit eden doğası nedeniyle son on yılda en büyüleyici ve tartışılan teknolojidir. Yapay zeka, basitçe insan benzeri duyuya (algılamaya), analize veya anlamaya ve yanıt vermeye sahip makineler inşa etme çalışması anlamına gelmektedir. Yapay zeka sistemleri, aldığı komutlarla belirli bir tür işi yapma kapasitesine sahiptir. Yapay zekanın yolculuğu 1950'li yıllarda başlamış olsa da, üç nedenden dolayı son yıllarda popüler hale gelmiş ve kullanılmaya başlanmıştır. Birincisi, büyük verinin mevcudiyeti; e-ticaret, sosyal ağlar ve işletmeler tarafından üretilen devasa miktarda veri, ikincisi makine öğrenimi algoritmalarının geliştirilmesi ve daha güvenilir olması, üçüncüsü ise bulut ve yüksek performanslı bilgisayar sistemlerinin ucuzlamasıdır. Yapay zeka her yeni günde bir çok alanda işlevsel bir halde kullanılmaktadır. Müzik çalmaktan satranç oynamaya, resim yapmaktan sürücüsüz arabalara, teoremleri kanıtlamaktan şiir yazmaya kadar genelden özele kadar çok çeşitli ürünler geliştirmek için kullanılmaya başlanmıştır. Ayrıca yapay zeka, otomobil, ulaşım, lojistik, sağlık, hisse senedi ticareti, robotik, finans, eğitim gibi alanlarda yaygın olarak kullanılmaktadır. Bu araştırmada henüz insan bilincine ve yaratıcı düşünceye sahip olamayan yapay zekanın plastik sanatlarda gelecekte bir sanatçı mı olacağı? yoksa sanatçı için sadece bir araç olarak mı kalacağı irdelenmeye çalışılmıştır. Ayrıca yapay zekanın makine öğrenimi ve derin öğrenmeyle ilişkisinin tanımlanması yapılarak, yapay zekanın yaratıcılık boyutunun ele alınmasının yanı sıra günümüz sanat dünyasındaki avantajlarına ve zorluklarına ilişkin örnekler üzerinden bir değerlendirme yapılması amaçlanmıştır.

In recent years, developments in Artificial Intelligence (AI) and MachineLearning (ML) technologies have had profound effects on all sectors. The logistics industry has also become a sector where these technologies are being used to a significant extent. The emergence of intelligent logistics systems offers several opportunities for the advancement of this sector by facilitating digital transformation in supply chain and logistics. The aim of this study is to provide a comprehensive review of recent studies examining the use of AI and ML systems in the logistics industry. In this study, which is designed as a systematic study, firstly, based on the existing literature, the basic concepts, trends, researchers and countries working on AI and ML systems in the logistics sector are examined by bibliometric analysis method. Then, information about the prominent AI and ML systems in logistics is given. It is seen that the most frequently used AI and ML technologies in logistics are Deep Learning, Optimization, Internet of Things (IoT), Data Mining and Predictive Models. The methodologies presented in the study have a practical importance in increasing efficiency, transparency and planning in the logistics.

Son dönemlerde sıklıkla vurgulanan bir görüş, klasik sanatsal anlatım tekniklerinin artık sanat tarihinde etkili bir yer edinmeyi sağlamayacağı yönündedir. Bu bağlamda, İngiltere'nin başkenti Londra'da yer alan ünlü Christie's Müzayede Evi'nde gerçekleştirilen bir satış, bu tartışmayı yeni perspektiflerden ele alınmasını fikrini aralamaktadır. Müzayedede, yapay zekâ teknolojisi kullanılarak üretilmiş bir sanat eseri, dikkate değer bir meblağ olan 432.500 Amerikan doları karşılığında satılmıştır. Bu olay, bir dizi önemli soruyu gündeme getirmiştir. Bir yandan, geleneksel yöntemlerle, yani fırça ve boya kullanılarak üretilen eserlerle kıyaslandığında, makine öğrenimi teknolojileri ile üretilen bu tür çalışmaların sanatın evrimindeki geçmiş üretimlerin bir uzantısı olarak kabul edilip edilemeyeceğini sorgulaması ile, sanat eseri, sanatçı ve izleyici ilişkisinin bu yeni bağlamda nasıl şekilleneceği merak konusudur. Bu durum, bilim camiasının sanatı bir deney alanı olarak kullanma çabasının bir göstergesi olabilir mi? yoksa estetik başarı kriterlerinin terk edildiği, piyasa koşullarının giderek daha baskıcı hale geldiği günümüzde, sanatın duygusal ve isyankâr yanını teknoloji aracılığıyla yeni bir boyuta taşıma çabası mıdır? Bu ve benzeri sorular, yapay zekâ ve makine öğrenimi gibi farklı teknolojik yaklaşımların gelecekte sanatta köklü değişiklikler ve yenilikler getirebileceğinin işaretçisi olabilir. Bu çalışma, teknolojinin sanat üzerindeki etkisini ve sanatın bu teknolojik dönüşüm sürecini incelemeyi amaçlamaktadır. Araştırmada elde edilen bulgular, yapay zekâ teknolojisine sahip makinelerin sanat dünyasına olası etkilerini değerlendirmeyi hedeflemektedir.

New generation techniques are emerging in museum exhibitions. These technologies include advanced technologies such as 3D animation, VR/augmented reality, robots, artificial intelligence, and face reconstruction. Museums undertake large projects where different disciplines work together harmoniously.The use of face reconstruction and artificial intelligence in New Generation Museum Projects is quite common around the world. In the post-truth era, museums, in order to maintain their identities, use artificial intelligence to reformat their archaeological findings by identifying them.Museum collections use facial recognition using the face reconstruction technique. Collections have become new interactive presentations that speak to visitors simultaneously with facial expressions, sound, and movement effects, directing them, and calling themselves "bugs." Even individuals freely participate in the experience of these museum works. Technology will continue to bring us new developments beyond the reality of three-dimensional, five-sensory reality outside museum showcases.Are the museums still the home of source of inspiration? Are they still evaluated again and again like former, or else are they place which have old, broken-down ruins, hovels or shambles? In this article, we try to find an answer for these questions. In 2024, the year which advancement of technology is at a good point, museums exhibitions are places which new technological developments are used in museums. With this purpose, increase in the number of new projects in museums is seen. A lot of areas of profession of different disciplines is obliged to work together.

Poliester liflerinin hidrofobik yapısı, yüksek kristalinitesi, lifleri oluşturan makromoleküller arasındaki yüksek çekim kuvveti gibi özellikleri boyanmasında önemli kısıtlar oluşturur. Ayrıca, poliesterin boyanmasında kullanılan yöntem ve kimyasallar çevre için zararlıdır. Bu çalışmada, bu sınırlamaları ortadan kaldırmak ve daha çevre dostu boyama prosesi geliştirmek amacıyla, poliesterin doğal boya ile boyanabilirliği ve yanıt yüzey metodoloji ile işlem parametrelerinin optimizasyonu araştırılmıştır. Bu kapsamda öncelikle pH, sıcaklık ve süreden oluşan üç faktör için Box-Behnken deneysel tasarımından baz alınan üç seviye belirlenerek bunlara yönelik deneysel çalışmalar gerçekleştirilmiştir. Gerçekleştirilen deney sonuçlarına bağlı olarak L*, a*, b*, C* gibi farklı çıktıları tahmin etmek için kullanılabilecek bir meta model oluşturmak amacıyla yapılan incelemelerde, literatürde de genel olarak kullanılmakta olan ikinci dereceden bir modelin ilgili sonuçlarını tahmin etmede başarılı olduğu (𝑅2 ≥ 0,9) ve bazı tasarımlarda ilgili 𝑅2 değerlerinin 0,99 seviyelerine yaklaşmakta olduğu gözlenmiştir. Benzer şekilde bazı çıktılar için 0,1720 ortalama mutlak hatayla deney sonuçlarını tahmin edebildiği görülmektedir. Buna ek olarak, oluşturulan model denklemlerinden teorik optimal boyama koşulları tespit edilmiştir. Sonuçlar poliesterin boyanmasında pH-sıcaklık ve pH-süre ikililerinin, sıcaklık ve süreye göre çok daha etkili olduğunu ve ayrıca alınan yüksek yıkama haslıkları bu boyama prosesinin açık-orta tonlarda sürdürülebilir boyamalar için kullanılabileceğini göstermiştir. Ayrıca bu çalışmanın maliyet ve zaman tasarrufu sağlama potansiyeli de vardır.

One of today's most important developments and innovations brought by digital technologies is artificial intelligence-based deepfake applications. Deepfake is explained as the technology of automatically changing the faces of people in images with the use of deep learningbased algorithms. Deepfake, which is built on visual manipulation and editing, stands out as the core concept of this research. This research paper provides an overview of what deepfake applications are, their wide range of uses, their advantages (their use in areas such as education, healthcare, entertainment sector, arts) and their possible disadvantages (manipulative illegal uses). In this context, the commercial of the Russian operator company Megafon was selected as the sample. Each frame of the commercial was examined and analyzed with the semiotic method. The commercial film, which was created with Deepfake technology, was analyzed within the scope of plain meaning / connotation, and the messages intended to be given to the audience were analyzed and explained. The technical analysis of the image of the digital twin of the famous actor (Bruce Willis) in the commercial film created with deepfake was made. The effects of the advertisement shot with deepfake technology on the visual narrative compared to traditional methods were analyzed. [ABSTRACT FROM AUTHOR]

Objective: This study aimed to evaluate the performance of ChatGPT-4, a large language model, in answering thoracic surgery questions compared to 5th-year medical students. The goal was to assess the potential of ChatGPT-4 as an educational tool in medical training. Methods: A retrospective comparative analysis was conducted involving 10 fifth-year medical students and ChatGPT-4. Each participant answered 40 multiple-choice questions related to thoracic surgery. The students' scores were compared to the scores generated by ChatGPT-4. Statistical analysis was performed using an independent sample t-test to determine the significance of the differences in performance. Results: The students' scores ranged from 80% to 97.5%, with an average score of 88.25% (SD=5.63). ChatGPT-4 scored 95% on the same set of questions. The t-test results indicated a statistically significant difference between the students' scores and ChatGPT-4's score (t=-3.98, p=0.00088). Conclusion: The study demonstrated that ChatGPT-4 can provide accurate answers to thoracic surgery questions, surpassing the performance of 5th-year medical students. This indicates the potential of large language models as valuable educational tools in medical training. However, further research is needed to evaluate the model's performance across different medical disciplines and question types. [ABSTRACT FROM AUTHOR]

In today's world, awareness of health and nutrition is growing, emphasizing the need for personalized nutrition recommendations and reducing food waste. This study collected demographic data and food preferences from users and analyzed them using artificial intelligence models. A model developed with the Random Forest algorithm was trained to predict users' future preferences and guide menu planning. Tests showed that combining AI with optimization techniques successfully creates user-focused menus, enhancing satisfaction and reducing food waste. The study also highlighted challenges related to the dataset's size, pointing to a need for more qualitative data. The developed model provides innovative solutions for catering companies and institutions offering mass dining, improving employee satisfaction while minimizing waste. Future research aims to refine the model for broader applications. [ABSTRACT FROM AUTHOR]

Objective: Acute post-streptococcal glomerulonephritis (APSGN) is a common cause of acute glomerulonephritis in children. The condition may present as acute nephritic and/or nephrotic syndrome and rarely as rapidly progressive glomerulonephritis. ChatGPT (OpenAI, San Francisco, California, United States of America) has been developed as a chat robot supported by artificial intelligence (AI). In this study, we evaluated whether AI can be used in the follow-up of patients with APSGN. Methods: The clinical characteristics of patients with APSGN were noted from patient records. Twelve questions about APSGN were directed to ChatGPT 3.5. The accuracy of the answers was evaluated by the researchers. Then, the clinical features of the patients were transferred to ChatGPT 3.5 and the follow-up management of the patients was examined. Results: The study included 11 patients with an average age of 9.08±3.96 years. Eight (72.7%) patients had elevated creatinine and 10 (90.9%) had hematuria and/or proteinuria. Anti-streptolysin O was high in all patients (955±353 IU/mL) and C3 was low in 9 (81.8%) patients (0.56±0.34 g/L). Hypertensive encephalopathy, nephrotic syndrome, and rapidly progressive glomerulonephritis were observed in three patients. Normal creatinine levels were achieved in all patients. Questions assessing the definition, epidemiologic characteristics, pathophysiologic mechanisms, diagnosis, and treatment of APSGN were answered correctly by ChatGPT 3.5. All patients were diagnosed with APSGN, and the treatment steps applied by clinicians were similarly recommended by ChatGPT 3.5. Conclusions: The insights and recommendations offered by ChatGPT for patients with APSGN can be an asset in the care and management of patients. With AI applications, clinicians can review treatment decisions and create more effective treatment plans. [ABSTRACT FROM AUTHOR]

In agricultural activities, it is very important to get high-yield harvests at low costs. To get a high yield from the harvest, it is necessary to choose products and fertilizers suitable for the agricultural land. Getting high yields with low costs in agriculture is also possible with smart agriculture. With smart agriculture, agricultural activity stages can be controlled; Precautions can also be taken against negativities that may arise from external factors. To control agricultural lands remotely; Internet of Things (IoT) based sensors require hardware systems to receive data from these sensors and send them to the server. The data sent to the server is evaluated with artificial intelligence algorithms and the need for the land is determined according to the result and the need for fertilizer, irrigation need, etc. suitable for the agricultural stage is determined. Processing is carried out according to needs. For this purpose, in this study, hardware products, including field and server modules, were developed to capture sensor data from agricultural land with IoT and send it to the server. Data sets taken from open-access websites were used to train models with machine learning methods, one of the fields of artificial intelligence. The data taken from the field is evaluated with the created machine learning models, allowing the selection of products and fertilizers suitable for the land. [ABSTRACT FROM AUTHOR]

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