bluuebunny/crossref_metadata_2025 huggingface dataset:
KAN GRUBU BAĞLAMINDA ÖĞRENME STİLLERİ VE ÖĞRENME ÇEVİKLİĞİ
Authors: Korucuk Murat
Published: September 2024

Bu çalışmanın amaçları öğrencilerin öğrenme stilleri ve öğrenme çevikliği düzeylerini belirlemek, öğrenme stillerinin öğrenme çevikliği üzerindeki etkisini ortaya koymak ile öğrencilerin öğrenme stilleri ve öğrenme çevikliği düzeylerinin kan gruplarına göre fark durumlarını tespit etmektir. Çalışmada nicel desenlerden genel tarama modeli kullanılmıştır. Çalışma evrenini Türkiye’de bulunan bir üniversitenin öğrencilerinin tamamı olan 19.733 öğrenci oluşturmaktadır. Çalışmada evreni oluşturan her bireye aynı oranda seçilme olasılığı sağlanabilmesi için rastgele hareket edilmiş ve 883 bireyden elde edilen veriler ile çalışma yürütülmüştür. Veri toplama aracı olarak Yazıcı ve Özgenel (2020) tarafından geliştirilen Marmara Öğrenme Çevikliği Ölçeği (MÖÇÖ) ile Süral ve Sarıtaş (2010) tarafından geliştirilen Grasha-Reichmann Öğrenme Stilleri Ölçeği (GRÖSÖ) ile katılımcıların kişisel bilgilerinin belirlenebilmesi amacıyla Kişisel Bilgi Formu’ndan yararlanılmıştır. Çalışmada öğrencilerin öğrenme stillerinin orta ve yüksek düzeyde yer aldığı; bağımsız, çekingen, bağımlı ve paylaşımcı öğrenme stili düzeylerinin orta düzeyde olduğu, iş birlikli ve rekabetçi öğrenme stili düzeylerinin ise yüksek düzey olduğu sonucuna ulaşılmıştır. Bu sonuca ek olarak öğrencilerin öğrenme çevikliği düzeylerinin genel olarak orta düzeyde yer aldığı ancak sadece öğrencilerin öz farkındalıklarının yüksek düzeyde olduğu tespit edilmiştir. Çalışmada öğrencilerin öğrenme stilleri ile öğrenme çevikliği düzeyleri arasında orta düzeyde, pozitif yönlü ve anlamlı bir ilişki olduğu sonucuna ulaşılmıştır. Çalışmada ulaşılan bir diğer sonuç ise öğrencilerin öğrenme stillerinin öğrenme çevikliklerinin % 67’sini açıkladığı ve öğrencilerin öğrenme stillerinin öğrenme çevikliğini %82 düzeyinde etkilediğidir. Öğrencilerin sahip oldukları öğrenme stilleri ile öğrenme çevikliği düzeylerinin kan gruplarına göre farklılaştığı tespit edilmiştir.
DİJİTAL FİNANSAL OKURYAZARLIK VE FİNANSAL TEKNOLOJİLERİN İLİŞKİSİNDE ROL ALAN FAKTÖRLER: YABANCI TURİSTLER ÜZERİNDE BİR UYGULAMA
Authors: Ahmetoğulları Kayhan
Published: September 2024

Bu çalışmanın ana amacı dijital finansal okuryazarlık ile finansal teknolojiler arasındaki nedensel ilişkiyi incelemektir. Ayrıca bu ilişkide sosyal medya kullanımı ve yaş gibi kategorik değişkenlerin düzenleyici rolünü irdelemek ile dijital finansal okuryazarlık ve finansal teknolojilerin sosyo-demografik değişkenler ve finansal okuryazarlık sertifikası sahipliği, finansal işlemlerde akıllı telefon kullanımı ve katılımcıların dillerine göre nasıl değiştiğini gözlemlemektir. Araştırma nicel desenli birincil anket verilerini yüz yüze toplayarak değişkenler arasındaki ilişkiyi inceleyen ilişkisel tarama modelini kullanmaktadır. Veriler Türkiye’nin en çok ziyaret edilen yerlerinden biri olan Antalya’ya gelen yabancı turistleri hedef almaktadır. Bölgeyi en çok ziyaret eden ilk üç ülke mensuplarının dilleri dikkate alınarak katılımcılar için İngilizce, Rusça ve Lehçe olmak üzere üç dilde anket uygulanmıştır. Verilerin analizinde SPSS ve AMOS paket programlarından yararlanılmıştır. Araştırmada 292 katılımcı üzerinden sürekli değişkenlere ait ölçek ve ölçüm geçerliliği ve güvenilirliğini sağlamak için ölçüm modeline dayalı DFA kullanılmıştır. Ardından uyum iyiliği sağlanan ve geçerlilik testi onaylanan modele ait örtük değişkenler arasındaki nedensel ilişkiyi veren yapısal eşitlik modeli oluşturulmaktadır. Model uyumu sağlanmış ve dijital finansal okuryazarlığın finansal teknoloji deneyimini artıracağı sonucuna ek olarak bu ilişkide sosyal medya kullanımı ve yaşın düzenleyici rolü saptanmıştır. Ayrıca çalışmada sosyo-demografik değişkenlere göre dijital finansal okuryazarlık ve finansal teknoloji deneyiminin nasıl değiştiğini irdelemek için t-testleri ve ANOVA analizi yapılmıştır. Sonuç olarak dijital finansal okuryazarlığın finansal teknoloji deneyimini anlamlı şekilde artırdığı, sosyal medya kullananlarda bu ilişki anlamlı ve daha yüksek olduğu, 36-45 yaş aralığında bu ilişki anlamlı değilken, diğer yaş aralıklarında anlamlı şekilde değiştiği ortaya konmaktadır. Ayrıca yaş aralıkları içerisinde bu ilişkiyi en fazla etkileyen 55 ve üstü yaş aralığındakiler olduğu saptanmıştır. Öte yandan İngilizce konuşanların Rusça konuşanlara göre daha yüksek dijital finansal okuryazarlık ve finansal teknoloji deneyimine sahip oldukları gözlenmektedir. Son olarak finansal okuryazarlık sertifikası olanların olmayanlara göre daha yüksek dijital finansal okuryazarlığa ve finansal teknoloji deneyimine sahip olduğu anlaşılmaktadır.
ULUSLARARASI TİCARET VE LOJİSTİK LİSANS ÖĞRENCİLERİNİN MESLEKİ VE GELECEK BEKLENTİLERİNİN İNCELENMESİ
Authors: Özekenci Emre Kadir
Published: September 2024

Bu çalışmada, uluslararası ticaret ve lojistik bölümü lisans öğrencilerinin eğitimini aldıkları alana dair düşünceleri ve gelecekteki mesleki beklentilerinin belirlenmesi amaçlanmıştır. Bu doğrultuda, 2023-2024 akademik yılı bahar döneminde Mersin-Çağ üniversitesinde öğrenim gören 18 öğrenciyle derinlemesine mülakat gerçekleştirilmiştir. Bu çalışma, amaçlı örnekleme yöntemi ve fenomenoloji araştırma deseninde gerçekleştirilmiştir. Araştırmadan elde edilen verilerin çözümlenmesinde içerik analizi ve betimsel analize başvurulmuştur. Lisans öğrencilerinden toplanan veriler doğrultusunda kodlar, kategoriler ve temalar oluşturulmuştur. İncelemeler sonucunda, lisans öğrencilerinin: bölümü bilinçli olarak seçtiği, birinci sınıftan dördüncü sınıfa kadar bölüme ilişkin görüşlerinin olumlu yönde değiştiği, lisans eğitimlerinde uzaktan eğitim ve bölümün %100 İngilizce olmasının sorun yarattığı, geniş iş imkanı ve kariyer hedefi nedeniyle özel sektörde çalışmak istedikleri, lisans eğitiminde kendilerini yabancı dil ve uygulamaya yönelik ders konusunda yetersiz gördükleri, staj ve network gibi iş bulmaya yönelik girişimlerinin olduğu, satış ve pazarlama alanında uzmanlaşmak istedikleri, öğrencilerin çalışacağı yerden beklentilerinin bilgi/deneyim kazanmalarının yanı sıra kendilerine değer yaratmaları isteği, çalışacağı yerden ilk beş yıl ki beklentileri ise yüksek maaş, sosyal olanlar ile terfi almaları ve Türkiye’nin ihracat ve lojistikteki potansiyeli nedeniyle yurt içinde çalışmak istedikleri sonuçlarına ulaşılmıştır.
Role of psychoemotional stress in abnormal occlusion
Authors: Iarygina Elena N. , Shkarin Vladimir V. , Makedonova Yuliya A. , Dyachenko Denis Yu. , Gavrikova Lyudmila M.
Published: September 2024

Background: Psychoemotional stress is one of the most significant risk factors in many pathological conditions.
Aim: To assess the incidence and severity of psychoemotional stress in patients with abnormal occlusion.
Materials and methods: The severity of psychoemotional stress was assessed in 120 patients with abnormal occlusion. A dental examination using primary and secondary methods was performed in all patients. Following a clinical examination, the patients were divided into three groups based on the severity of dental attrition (according to Bushan, 1979). The Russian version (according to Vodopianova) of the Psychological Stress Measure (PSM-25; Lemyr–Tessier–Fillion) was used to assess the severity of psychoemotional stress. The questionnaire included 25 questions with an 8-point score for the interpretation of answers, with 1 point representing the absence of psychoemotional stress symptoms and 8 points representing constant daily emotional stress.
Results: The analysis revealed that 42 patients had enamel attrition (Group 1), 49 patients had enamel attrition with partially affected dentin (Group 2), and 29 patients had severe attrition that exposed the dentin (Group 3). All respondents reported experiencing varying levels of psychoemotional stress in their daily lives. The severity of stress increased with more severe clinical manifestations of abnormal occlusion. Moreover, the study revealed that the incidence of psychological stress of varying degrees was 100%. The most common manifestations of psychological stress in patients with abnormal occlusion were as follows: grinding and clenching habit (mean: 3.080±0.099 in Group 1, 4.870±0.185 in Group 2, and 6.080±0.122 in Group 3); feeling unwell (mean: 4.020±0.072, 5.620±0.107, and 6.02±0.12, respectively); fatigue (mean: 4.310±0.103, 5.920±0.124, and 7.310±0.263, respectively); and sleep disorders (mean: 5.280±0.121, 5.690±0.165, and 6.280±0.151, respectively).
Conclusion: The severity of stress can be used as an integrated quantitative measure of an interdisciplinary approach in the management of these patients, highlighting the need for specialist consultations to improve the psychological status. The severity of stress is an objective efficacy criterion for the diagnosis and treatment, reflecting changes in the level of psychological stress.
Association of superoxide dismutase and catalase genetic variants and their gene-gene interactions with the severity of COVID-19
Authors: Eid Moez A. , Aleksandrova Anzhela A. , Kosenko Peter O. , Shkurat Tatiana P.
Published: September 2024

BACKGROUND: Since the outbreak of COVID-19 infection, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), oxidative stress has been proposed as an important player in its severity. This increased the interest in studying antioxidant systems to evaluate their possible role in counteracting disease progression.
AIM: The aim of the current study was to investigate the association of single nucleotide polymorphism (SNP) of superoxide dismutase (SOD) and catalase (CAT) genes with the severity of COVID-19.
MATERIALS AND METHODS: Study subjects were divided into two groups based on the severity of their symptoms. Allele-specific PCR was used for genotyping, and multifactor dimensionality reduction (MDR) analysis was performed to investigate the SNP–SNP interaction models.
RESULTS: The results showed a significant association of SOD2 rs4880 with the severity of COVID-19 (p = 0.002). SOD2 47TT genotype was significantly more frequent among patients with severe COVID-19 (OR 4.34; 95% CI 1.72–10.96). The three-locus SNP–SNP interaction model, resulted from MDR analysis, was statistically significant (0.55 × 10–4, OR 3.81; 95% CI 1.96–7.42). Carriers of SOD1 7958G * SOD2 47T * CAT 262C allele combination had a higher risk of severe COVID-19 (p = 0.0045, OR 2.84, 95% CI 1.40–5.78).
CONCLUSIONS: The obtained results contribute to better understanding of COVID-19 pathogenesis and suggest novel potential prognostic biomarkers of the infection.
Genetic diversity of naked barley accessions from the VIR collection for resistance to powdery mildew in the North-West Region of the Russian Federation
Authors: Lukina Kseniia A. , Abdullaev Renat A. , Alpatieva Natalia V. , Loskutov Igor G. , Kovaleva Olga N.
Published: September 2024

BACKGROUND: Barley is an important grain crop characterized by adaptability to various growing conditions. In recent years close attention has been paid to groups of naked barley which compared to covered barley is more susceptible to the influence of pathogens, that decreases the yield and quality of grain. Powdery mildew is the most harmful diseases of barley (caused by the biotrophic fungus Blumeria graminis (DC.) Golovin ex Speer f. sp. hordei Marchal). The search for new promising sources of resistance to powdery mildew is necessary for barley breeding.
AIM: The aim is studying the powdery mildew resistance of naked spring barley accessions from the world collection of VIR and identifying promising sources for economically valuable traits.
MATERIALS AND METHODS: In field and laboratory conditions 271 of naked barley accessions of different ecological and geographical origin were studied for powdery mildew resistance and other economically valuable traits (lodging resistance, duration of the vegetative period, yield). The pathogen inoculum for laboratory work was represented by the north-western population of the pathogen. The resistance of barley samples was assessed in the field using the VIR point scale, in the laboratory using the E.B. Mains, S.M. Dietz point scale. The highly effective to powdery mildew resistance allele mlo11 was identified using PCR.
RESULTS: The diversity of barley of different origins in resistance to powdery mildew is shown. 16 samples mainly from Europe, local forms from Ethiopia, Japan and India, were found to be resistant in field condition. According to the results of the assessment at the juvenile stage, 1 highly resistant sample k-31058 and 5 moderately resistant (k-20923, k-25801, k-27165, k-29911, k-30231) were identified. The naked forms k-20923 from Germany and k-29911 from Poland were resistant at all stages of plant development. The mlo11 allele was detected in the Arabische variety (k-20923) and heterogeneous pathogen resistance accessions k-20921, k-25793, k-27080, k-29440, k-29820.
CONCLUSIONS: As a result of the work the sources of resistance to powdery mildew with a complex of economically valuable traits were identified, which can be involve in the breeding.
Application of coal mining waste in civil and road construction
Authors: Verekh-Belousova Ekaterina I. , Kharlamova Alina V.
Published: September 2024

Aim: This study analyzes the potential for processing coal mining waste in civil and road construction.
Materials and Methods. The research focused on rock dumps from eight mines in the Lugansk People’s Republic. According to current methods, samples of dump rock were collected and analyzed in the laboratory for various properties, including Al2O3 content (up to 22%), total sulfur (up to 4%) in rock samples of varying degrees of metamorphism, indicators of its plasticity, and radiation characteristics (up to 220 Bq/kg).
Results. This study addresses the processing of rock dumps from coal mines in the Lugansk People’s Republic as a source of raw materials for building materials. A brief analysis of existing methods for obtaining various building materials from waste rocks was carried out. The laboratory tests on waste rock samples from several mines demonstrated their potential use in civil, industrial, and road construction.
Conclusion. The research provides a detailed analysis of various indicators and properties of coal mining waste in the Lugansk People’s Republic, including specific effective activity and evaporation coefficient. Findings suggest that the waste rock can be effectively used as raw material in the construction industry, supporting the production of materials for industrial, civil, and road construction.
Increasing resilience and selection of a strategy for restoring transport networks in extreme natural processes
Authors: Akhtyamov Rasul G.
Published: September 2024

Aim. The development of an approach to increasing resilience by selecting strategies for restoring transport networks affected by extreme natural processes.
Methods. This study evaluates the dynamics of extreme natural processes, specifically exogenous geological processes that can that can disrupt transport networks. It includes as framework for assessing the sustainability and restoration of transport networks under climate risk factors. Strategies for restoring the transport network were formulated.
Results. The formulated strategies enable network modeling of transport network topology, which can be represented as an undirected weighted graph with a set of nodes and edges. The proposed model allows determining the most effective strategy for quickly restoring the connectivity of the transport network by determining the optimal sequence of restoration for repairing road sections, considering restoration time. The efficiency of restoring damaged sections of the transport network is expected to decrease as the share of the restored network increases. Therefore, it is crucial to estimate the necessary extend of network restoration to perform the necessary extent of network restoration to support emergency and urgent tasks by RSChS formations in specific areas.
Conclusion. The analysis and assessment of alternative solutions for restoring the sustainability of transport networks considers the complexity of tasks under climate risk factors, such as extreme natural processes. In some cases, the RSChS problems do not require complete network restoration, unlike the tasks solved by the transport industry. This work aims to develop a framework for assessing restoration strategies, identifying the features of each of the considered strategies under uncertainty, and increasing operational sustainability. The proposed approach is flexible, allowing decision makers to assess various priorities during a specific natural emergency in a certain area, such as average recovery time, process efficiency, and uncertainty levels, when choosing the most desirable strategy. It is assumed that the average recovery time does not differ significantly among strategies for full network restoration. However, for partial restorations necessary for RSChS tasks, the average restoration time depends on the chosen strategy.
Development of an electronic differential system for electric vehicles based on deep neural network
Authors: Lisov Andrey A.
Published: September 2024

Background. Modern cars typically use a transmission system where an internal combustion engine transmits force through a gearbox to a differential shaft, which then transmits torque to the wheels. In electric vehicles, however, electric motors can be attached directly to the wheels through a reduction gearbox. With a right control system, these vehicles can apply different torque to the wheels on each side of the vehicle, significantly enhancing handling. This set-up is known as an electronic differential. Its implementation can vary from simple, using the Ackerman–Jeantand model, which cannot fully replace a simple mechanical differential, to complex systems employing robust control mechanisms with yaw torque. The latter method requires a rather complex control system and expensive sensors. A third –innovative approach involves using neural networks to control electric vehicle speeds.
Aim. The aim is to provide materials and software for implementing an electronic differential using artificial neural networks to expand the solutions available for controlling multiple electric derives in various electric vehicles.
Materials and Methods. The neural network considers multiple factors affecting the operation of electronic differential by selecting special coefficients, weights, to neurons within the network. As a basis for obtaining data, special route maps based on the transition curve will be used.
Results. Testing yielded a prediction accuracy of 0.7273, with a standard deviation of 0.064 for the training set and 0.065 for the testing set.
Conclusion. Employing neural networks for controlling electric drives is a promising alternative to traditional algorithms. Owing to their flexibility, these neural networks can also implement additional driver assistance functions, such as ESP, ABS, cruise control, etc.
Providing financial and economic security of projects for the construction of transport hubs
Authors: Vasilyeva Maria E. , Volkova Elena M. , Guryanov Andrey V.
Published: September 2024

Aim. The goal is to develop an approach for evaluating the economic efficiency of constructing passenger transport hubs, providing financial and economic security of investment projects and promoting the effective operation of these hubs, while considering the external impacts of ongoing projects.
Materials and Methods. The study involved collecting and analyzing data from scientific articles, papers, and open online sources. Economic assessment and investment analysis were used to evaluate the efficiency of passenger transport hub construction projects. The research also drew on scientific publications discussing economic descriptions of transport hubs, using the Volkovskaya TPU project, developed by Archidi LLC by order of the St. Petersburg Transport Committee.
Results. The main scientific result is an approach for economically assessing transport hub projects. This approach includes assessing the public effectiveness by factoring in benefits such as reduced travel time and decreased load on the city’s road network within the project’s cash flows. The proposed approach was tested using the Volkovskaya transport hub construction project.
Conclusion. Finally, the authors developed recommendations for socio-economic assessment of passenger transport hub construction projects, considering both the commercial and social effectiveness of their operation. The results of the research are valuable for regional authorities involved in urban transport infrastructure development and companies financing the construction of passenger transport hubs.
Systems of autonomous running of urban electric transport
Authors: Byltseva Vasilisa D. , Izvarin Mikhail Yu. , Kim Konstantin K.
Published: September 2024

The autonomous running system (ARS) is crucial for urban electric transport, ensuring the movement of electric rolling stock even when access to the contact network is lost owing to emergencies or repair work. Thanks to the ARS, the vehicles can maintain their set speeds, providing passengers with comfortable and safe movements.
The autonomous running allows vehicles to remain mobile and accessible to passengers, even without power supply from the contact network. ARS increases the reliability and efficiency of urban electric transport, ensuring a more stable operation of the transportation system in the city.
This article aims to review the transport systems of urban electric transport and assess their development potential by integrating an ARS into the rolling stock.
Systematization of the application of polymer composite materials in the design of bridge structures
Authors: Smerdov Dmitry N.
Published: September 2024

Background. This study systematizes the principles of using polymer composite materials in bridge structure design, outlining the fundamental principles for calculating load-bearing structures of bridge spans featuring these materials.
Aim. The goal is to enhance the strength and durability of bridge spans during construction and maintenance, while optimizing costs through the use of polymer composite materials.
Materials and Methods. The research employs a modern approach to bridge structure design, utilizing mathematical statistics for experimental data analysis and numerical methods for calculating bridge structures using nonlinear deformation models of anisotropic materials.
Results. Developed principles for designing bridge spans with polymer composite elements include methods for strengthening and reinforcing concrete bridge structures. These methods account for operational factors such as long-term constant and temporary loads, low and elevated temperatures, as well as methods for designing all-composite spans pedestrian and road bridges
Conclusion. The principles of designing bridge spans with elements made of polymer composite materials have been introduced into the practice of transport construction in the Russian Federation. The technical and economic efficiency of using polymer composite materials in bridge structures of transport infrastructure has been confirmed.
Application of artificial intelligence technologies at substantiation of effective control algorithms for the electrical engineering complex of urban electric transport traction electrical equipment
Authors: Aukhadeev Aver E.
Published: September 2024

Background. Studies on the current state and development trends of urban ground public electric transportation in Russia highlight the urgent need for innovative technologies. These innovations should focus on designing and operating new types of rolling stock, traction electrical equipment, and promising types of electric traction. At the same time, special attention should be paid to building autonomous control systems for electric transportation using artificial intelligence technologies.
Aim. This study aims to explore the application of neural networks to develop algorithms for effectively controlling the electrical engineering complex of traction electrical equipment in urban ground rail electric transport.
Materials and Methods. The research utilized data from studies on the traction electrical equipment modes of rolling stock. These studies were conducted through both computer simulations and field experiments under real operating conditions of urban electric transport using different control algorithms. By applying probability theory and mathematical statistics, the analysis identified the correlations between operational and energy parameters of rolling stock movement and the operational mode of its traction electrical equipment.
Results. The identified correlation dependencies informed the design of an effective network architecture, including its size and complexity, as well as the composition of their training samples. This led to the development of an original, simplified algorithm for determining effective control parameters for the electrical complex of traction electrical equipment during the movement of a vehicle on a given section of track.
Conclusion. The research concluded that using “simple” neural networks for calculating the parameters of effective control of traction electrical equipment operation modes in urban electric transport provides higher speed and sufficient accuracy compared to complex neural network models. These results are valuable for developers of intelligent control systems for streetcar transportation.
Hollanda’nın Kamu Diplomasisi Bağlamında Kültürel Diplomasi
Authors: Zorba Bayraktar Hilal
Published: October 2024

Klasik anlamda bildiğimiz, devletler ve devlet yetkilileri tarafından sürdürülen diplomasi faaliyetleri, uzunca bir süredir değişim içerisindedir. Bunun sonucunda bugün diplomasiyle ilgili yeni aktörler ve faaliyetler ortaya çıkmaya başlamıştır. Bunlardan biri olan kamu diplomasisi, hem devletler tarafından hem de diğer aktörler (birey, sivil toplum kuruluşları vb.) tarafından gerçekleştirilebilmektedir. Aslında uzun yıllardır var olan kamu diplomasisi artık kavramsallaşmaya başlamıştır. Bu hâliyle de devletlerin yumuşak güç araçlarından biri olarak görülmektedir. Kamu diplomasisi literatürde yeni kullanılan bir kavram olduğundan son dönemde bu konuda çokça çalışmaya rastlamak mümkündür. Ancak bu faaliyetleri gerçekleştiren devletler üzerinden konuyu ele aldığımızda sınırlı bir literatüre ulaşılmaktadır. Bu çalışmada, Hollanda’nın kamu diplomasi faaliyetlerinin neler olduğu ve nasıl yürütüldüğü sorusuna cevap aranmıştır. Çalışmada, nitel araştırma yöntemlerinden literatür taraması ve dokuman analizi yöntemleri kullanılmıştır. Bu çalışma özellikle Türkçe literatürde bu konuda var olan boşluğu doldurmayı amaçlamıştır. Sonuç olarak, Hollanda’nın kamu diplomasisinin uzun bir geçmişe sahip olduğu görülmüştür. Ancak ABD ve İngiltere gibi ülkelerle kıyasladığımızda ilerlemesi ve gelişmesinin zaman aldığı ortaya çıkmıştır. Bununla birlikte, kültürel diplomasi faaliyetlerinin çoğunlukla gelişmekte olan ülkelerle kurulan ilişkiler aracılığıyla yürütüldüğü belirlenmiştir.
Avrupa Birliği’nde Diplomasinin Bilim ve Teknoloji Tabanlı Dönüşümü: Bilim Diplomasisi ve Dijital Diplomasi
Authors: Taş Rabia
Published: October 2024

Kamu diplomasisi, devletlerin uluslararası ilişkilerde kamuoyu görüşlerine etki etmek, farklı devletlerin çıkar grupları ile etkileşime geçmek ve bilgi ile fikirlerin uluslararası alanda akışını sağlamak için yürüttüğü çalışmaları kapsayan bir kavramdır. Kamu diplomasisi, kültür, iletişim ve bilgi akışı gibi konuları ele alırken güç kavramı açısından yapılan değerlendirmelerde uluslararası aktörlerin sahip olduğu yumuşak güç unsularından biri olarak da değerlendirilmektedir. Günümüzde kamu diplomasisi, bilim ve teknolojinin getirdiği yeni alanlarda çeşitlenmiştir. Çevre diplomasisi, spor diplomasisi, moda diplomasisi gibi çeşitli türleri barındıracak şekilde genişlemiştir. Bilim diplomasisi ve dijital diplomasi de bu çeşitlilik içinde yer alır. Bilim diplomasisi, uluslararası iş birliğini geliştirmeyi ve devletler arası ilişkileri olumlu yönde kuvvetlendirmeyi amaçlar. Dijital diplomasi ise interneti, bilgi ve iletişim teknolojilerini kullanarak yeni bir kamu diplomasisi olacak şekilde ortaya çıkmıştır. Bu çalışmada Avrupa Birliği’nin (AB) kamu diplomasisinde birer araç olarak bilim diplomasisi ve dijital diplomasiyi ne amaçla, nasıl ve hangi araçlarla kullandığı konusu ele alınmış ve ikincil veri analizi araştırma yöntemi kullanılarak incelenmiştir. AB, kamu diplomasisi ve özellikle bilim diplomasisi ve dijital diplomasi konularında aktif bir rol üstlenmektedir. AB, bilim diplomasisini araştırma ve inovasyon alanında uluslararası iş birliğini teşvik etmek ve devletler arasındaki ilişkileri güçlendirmek için bir araç olarak kullanmaktadır. Dijital diplomasiyi ise AB'nin dış politika itibarını arttırmak için bir araç olarak görmektedir. Bu çerçevede, AB'nin bilim diplomasisi ve dijital diplomasi alanındaki politikaları ve çalışmaları giderek önem kazanmaktadır.
FIBONACCI AND LUCAS NUMBERS AS PRODUCTS OF THEIR ARBITRARY TERMS
Authors: Daşdemir Ahmet , Emin Ahmet
Published: September 2024

This study presents all solutions to the Diophantine equations F_k=L_m L_n and L_k=F_m F_n. To be clear, the Fibonacci numbers that are the product of two arbitrary Lucas numbers and the Lucas numbers that are the product of two arbitrary Fibonacci numbers are determined herein. The results under consideration are proven by using the Dujella-Pethő lemma in coordination with Matveev's theorem. All common terms of the Fibonacci and Lucas numbers are determined. Further, the Lucas-square Fibonacci and Fibonacci-square Lucas numbers are given.
PRODUCTIVITY, EFFICIENCY AND ENTREPRENEURIAL - INNOVATIVE UNIVERSITY INDEX: AN ANALYSIS FOR UNIVERSITIES IN TÜRKiYE
Authors: Yenilmez İsmail
Published: September 2024

The productivity and efficiency of universities were analysed in this study. The data and results of the Entrepreneurial and Innovative University Index-EIUI, which is calculated by TÜBITAK every year by considering various information for universities, were used. The study aimed to discuss the index, productivity, and efficiency results comparatively. Four-year data (2019-2022) and the index values were used. Balanced panel data analysis was performed on universities consistently included in the list each year. In the calculation of the index, a weighted sum of values standardized by the min-max method was taken into account. This is available in the calculation methodology of the index. Total factor productivity and stochastic frontier model methods were used for the analysis of productivity and efficiency, respectively. Universities that enter the index list every year and are at the top are effective, but they could not increase their productivity in the previous years. Universities established before 1992 may have approached the saturation level in terms of the input-output relationship, but it can be said that they can maintain their effectiveness. Some public and private universities that were established in 1992 and later have raised their productivity and efficiency. Although the index value and efficiency values overlapped to a certain extent, the significant differences in productivity were remarkable. While the studies in the literature focused on the meta-analysis of the index and the efficiency analysis of universities with various methods, this study presented an inclusive and comparative analysis in terms of index, productivity, and efficiency with panel data analysis.
IMPACT OF THE OBJECTIVE ATTRIBUTE WEIGHTING ON FIVE POPULAR MULTI-CRITERIA DECISION-MAKING METHODS: AN EMPIRICAL STUDY
Authors: Merkepçi Hamiyet
Published: September 2024

In a Multi Criteria Decision Making (MCDM) problem, it is rarely possible to optimize all objectives simultaneously, since they can be contradictory, ambiguous or may involve other types of inconsistencies or uncertainties. Therefore, when trying to choose from a number of available alternatives, a decision maker is expected to assign weights to attributes whose values are utilized to evaluate the alternative under consideration for ranking. Attributes can be qualitative or quantitative, and their weights can be assigned by the decision maker in a somewhat subjective manner or algorithmically. In this paper, the impact of attribute weighting approaches on the ranking results across a number of widely used MCDM methods are discussed. That is, it examines how different weighting methods affect the results on the same multi-criteria decision-making methods when making a rating. In doing so, consider five MCDM methods, namely, Evamix, Aras, Topsis, Vikor, Waspas, under three different objective attribute weight assignment procedures, namely, Critic, Entropy, and Standart Deviation (SD). Results indicate that, in some cases, the employed attribute weight-assignment mechanism influences the rating results more heavily than the MCDM method itself. In other words, different MCDM methods tend to yield similar results under the same weight assignment method whereas, the same method produces more distinguishable results under different weighting schemes.
NUMERICAL SOLUTIONS OF BOUSSINESQ TYPE EQUATIONS BY MESHLESS METHODS
Authors: Arı Murat , Dereli Yılmaz
Published: September 2024

In this paper, two different meshfree method with radial basis functions (RBFs) is proposed to solve Boussinesq-type (Bq) equations. The basic conservative properties of the equation are investigated by computing the numerical values of the motion’s invariants. The accuracy of the method is tested using computational tests to simulate solitary waves in terms of L_∞ error norm. The outcomes are contrasted with analytical solution and a few other earlier studies in the literature. The results show that meshless methods are very effective and accurate.
TECNOLOGÍAS PARA EL APROVECHAMIENTO DE ENERGÍA GEOTÉRMICA EN POZOS PETROLEROS
Authors: Ortega-Ramirez Angie Tatiana , Brand-García Laura Cristina
Published: September 2024

La necesidad de generar energía renovable se ha visto incrementada de manera exponencial debido al impacto ambiental negativo de las fuentes fósiles. La efectuación de una matriz energética a partir de la combinación de energía geotérmica e hidrocarburos representa una ventaja competitiva en la actualidad. Por esta razón, se efectúa la creación de un entorno sostenible que implique el uso de las fuentes de energía con mayor precaución. Para ello, se evalúan dos soluciones encaminadas a la implementación de recursos naturales como materia prima para la obtención de fuentes limpias y el incremento eficiente de tecnologías para el desarrollo de proyectos ambientalmente sostenibles. La energía geotérmica presenta una eficaz solución de la transición energética de la sociedad al ser implementado para satisfacer las necesidades diarias tales como: electricidad, calefacción y refrigeración. Una de las alternativas de obtención de energía geotérmica es el uso de pozos de petróleo para aliviar el problema energético causado por fuentes fósiles, trayendo consigo el ahorro de costos de perforación y control de la contaminación excesiva causada por la industria petroquímica. Por lo tanto, este documento de revisión se ejecutó para dar a conocer una descripción general de las diferentes tecnologías limpias de obtención de energía geotérmica mediante pozos de petróleo y "así mismo" dar un acercamiento para la implementación de estrategias sostenibles en energías renovables para el desarrollo y crecimiento económico y ambiental del sector.
A NEW APPROACH TO PREDICT THE CASCADE EFFECT IN TURBINE FLOWMETERS APPLIED TO LIQUEFIED PETROLEUM GAS
Authors: Miranda Pereira Tiago , Pinheiro Vaz Jerson Rogério
Published: September 2024

The measurement of transferred quantities of liquid products is essential in multiple industrial activities. Turbine flowmeters are largely employed, especially in custody transferring applications, due to their high accuracy and wide operational range. Analysis and improvement of turbine meters behaviors require specialized mathematical tools, once the constructive characteristics of multiple blades impose challenges to the determination of lift and drag coefficients. The appliance of the integral method Blade Element Theory (BET) without the evaluation of the cascade effect can lead to overestimation of turbine performance. The present work proposes an innovative and semi empirical cascade effect correction within the BET model to estimate the hydrodynamic behavior of turbine flowmeters in a Liquefied Petroleum Gas (LPG) plant. The model provides a strategy to correct the cascade effect on the rotor annular section, accurately predicting lift and drag coefficients at various blade sections. Operational parameters of the studied turbines, obtained from computer modeling, are compared to field data of an existent plant, in several conditions. Computational fluid dynamics (CFD) techniques are employed for the analysis. The validation of CFD model comprises the comparative analysis between numerical results and in-situ data acquired in the regular operation of the measurement system. The results indicate that the proposed model based on BET is able to predict the turbine flowmeter performance and provides precise estimative for field results of angular velocity and linearity.
Reliability analysis and uncertainty evaluation for assessing low velocity car impacted cosmetic damage of prototyped RC bridge pier
Authors: Roy Suman
Published: September 2024

Crashworthiness of low velocity vehicles with reinforced concrete (RC) bridge pier has become widespread scenario that warrants a continuous threat on the structural viability. Even, low velocity small car collisions creates a short duration quasi-static to dynamic effect in different damage levels from low and cosmetic to collapse, depending on energy dissipation, not generally considered in design practices, making the piers susceptible to various level of damage. Bridge piers do not always collapse upon impact, and some are kept in service without pertinent health examinations that warrant serviceability. Unfortunately, little attention has been provided to keep the post impact low to medium distressed piers in service. Medium to higher damage need a complete replacement, whereas the low to cosmetic damage needs an additional meticulous investigation. This study is an attempt to assess cosmetic damage and residual capacities of RC pier via pendulum impacts to replicate low velocity car crash scenarios. To investigate post impact performance, experimental results are captured and transformed into realistic crash scenarios. Deterministic analysis via dynamic increase factor (DIF) approach to evaluate damage index (λ) and probabilistic method via resistance reduction method (RRM) to capture the uncertainties are performed in determining residual and reduced capacity of the representative pier. To identify damage incurred from collision and identify the probability of failure (Pf), a limit state (LS) equation has been developed comprising impact load and resistance and utilized as a model to estimate reliability index (β). Both the models used are able to precisely capture reduced capacities providing a good agreement between the shear and the axial capacity which control primary resistance of the impact loads and principal serviceability respectively. This study will provide an aid to forensic structural engineers.
Children at the centre: Exploring StoryWeb relationships across home and ECE
Authors: White Amanda
Published: October 2024

Stories are a way that children under 3 years of age learn to share meaning with others. Most research with this age group has focused on 1:1 parent–child story relationships at home, largely book reading. These studies have positioned children in the role of story listeners rather than story tellers. Here, I explore new possibilities about the nature of story roles and relationships spanning home and early childhood education settings. I present a storyweb model to make visible the multiple ways that 1-year-old toddlers were actively engaged in weaving stories with others in a culturally and linguistically diverse community.
The expanding conceptions of child citizens in the early years: Perspectives from Chinese kindergarten teachers
Authors: Xu Peng , Ritchie Jenny
Published: October 2024

Recognising children as active and competent citizens holds promise for early childhood research and pedagogies worldwide. Researchers in China have not previously explored young children’s citizenship in detail. The project that is the focus of this article sought to address this research gap. Moss’ critical approach and Chen’s Asia as Method were employed as the tools for theoretical analysis. This article draws from the first author’s doctoral study and explores data gathered from interviews with kindergarten teachers in selected Chinese kindergartens. The findings reveal the teachers’ expanding conceptions of child citizens and offer insight into the syncretism of Western and Chinese discourses in early childhood care and education. Finally, the value of intercultural reflexivity is considered.
Long Non-Coding RNAs (lncRNA) Are Key Factors in the Complex Puzzle of Breast Cancer Immunopathogenesis: A Review Study
Authors: Lotfi Mohammad , Mahmoudian-Sani Mohammad-Reza , Saeedi-Sarqaleh Mohammad , Shojaei-Moghaddam Fatemeh , Saadati-Maleki Haniyeh , Karimzadeh-Soureshjani Eleheh , Saadi Rasoul , Saeedi-Boroujeni Ali
Published: September 2024

Long non-coding RNAs (LnC RNAs) exert a substantial influence on breast cancer by exerting both positive and negative control over signaling pathways. LncRNAs are transcribed similarly to mRNA, however they do not undergo the process of translation to become proteins. Initially, these RNAs were classified as "Junk RNAs" since they were thought to lack any practical use. Comprehensive research has demonstrated that they play a vital role in the progression of various diseases, including malignancies, allergies, autoimmune and autoinflammatory disorders, infectious diseases, cardiovascular disease, and atherosclerosis. Despite multiple efforts, breast cancer continues to be a substantial concern and is one of the most prevalent forms of malignancy, especially among women. Recently, researchers have been dedicated to acquiring a deeper understanding of how complex signaling pathways are controlled by Lnc-RNAs in breast cancer. In the setting of breast cancer, Lnc-RNAs have a contradictory effect. The objective of this study is to Review and categorize previous studies An investigation was conducted to examine the impact of long non-coding RNAs on breast cancer. This will improve the capacity to identify topics of research that require further investigation in future studies.
Evaluation of Effects of the COVID-19 Crisis on Disease Management in Children with Type 1 Diabete
Authors: Khosh Nezhad Afkham Ehsan , Sayarifard Fatemeh , Abbasi Farzaneh , Rabbani Ali , ShabaniShabani Hossein , SayariFard Azadeh
Published: September 2024

Background: With the spread of the coronavirus disease 2019 (COVID-19), strict laws such as quarantine were implemented in many countries, including Iran. The spread of this disease and the general quarantine overshadowed the treatment and management of some chronic diseases, including type 1 diabetes, and many families faced a serious challenge in providing medicines and periodic tests for their children. This study was conducted with the aim of investigating the effects of the COVID-19 crisis on disease management in children with type 1 diabetes.
Method: Based on a researcher-made questionnaire, this cross-sectional study was conducted on 85 children with type 1 diabetes between the ages of 2 and 18 years in 6 months at the Children's Medical Center Hospital. This questionnaire is either collected from the parents during the face-to-face visit of the child with type 1 diabetes, or the virtual visit (telemedicine), and they were asked to complete the relevant questionnaire. This questionnaire included demographic information, laboratory tests, and the challenges of patients' families during the pandemic. In order to properly understand the management of this disease, parents were asked to enter the results of tests related to fasting blood sugar and HbA1c 3 times at the beginning of the pandemic, during quarantine, and during the implementation of the study.
Results: Based on the results, the level of HbA1c, the problem of insurance coverage, the problem of attendance, ketoacidosis, and infection before the pandemic, during the pandemic, and at the time of the study among children with type 1 diabetes were unchanged (P>0.05). There was a significant difference between fasting blood sugar levels, insulin levels, blood sugar control levels, and hospitalizations in type 1 diabetes patients before the pandemic, during the pandemic, and the study period (P<0.05).
Conclusion: Increasing the use of continuous glucose monitors and the widespread use of telemedicine visits may improve the impact of the pandemic on disease management. It is suggested that more multicenter studies with a higher sample size should be conducted in order to investigate the impact of the COVID-19 crisis on children with diabetes.
A Literature Review of the Role of Candida albicans in the Occurrence and Development of Several Cancers
Authors: Sarvtin Mehdi Taheri
Published: September 2024

Candida albicans (C. albicans) is an opportunistic fungus that usually colonizes specific parts of the human body and tends to infect hosts with immunocompromised function, including cancer patients. Several studies have pointed to the direct or indirect involvement of (C. albicans) in oral, esophageal, gastric, pancreatic, colorectal, liver, breast, and skin cancers. So, this article reviews the relationship between C. albicans and various cancers and describes the mechanisms by which this fungus may be involved in the occurrence and development of these cancers. For this reason, keywords such as: "Candida," "cancer," "oral cancer," "esophageal cancer," "gastric cancer," "colorectal cancer," "pancreatic cancer," "liver cancer," "breast cancer," "skin cancer", "risk factors" and "epidemiology" were searched. Articles published in scientific databases, such as Google Scholar, PubMed/MEDLINE, Elsevier, and Scopus, were used. In these articles, it is mentioned that C. albicans may play a role in the occurrence and development of various cancers via several mechanisms, such as modulation of the immune system, induction of matrix metalloproteinases, over-expression of prognostic marker genes related to metastatic events, damaging mucosal epithelium, microbiome changes, activation of oncogenic signalling pathways, induction of chronic inflammation and production of carcinogenic metabolites including nitrosamine and acetaldehyde.