Meslek Yüksekokulları
Permanent URI for this community
Browse
Browsing Meslek Yüksekokulları by Metarial Type "Sunum"
Now showing 1 - 7 of 7
Results Per Page
Sort Options
- ItemExploring Cognitive Enhancements and Default Mode Network Connectivity in Relapsing-Remitting Multiple Sclerosis: Insights from a Prospective Study Investigating the MIND Diet(Sage, 2024-09) Demirel, Mert; Daşgın, Hacer; Acar, Nazire Pınar; Özçelik-Eroğlu, Elçin; Atabilen, Büşra; Ertuğrul, Aygün; Akdevelioğlu, Yasemin; Oğuz, Kader Karlı; Tuncer, Meryem Aslı; 396621The potential therapeutic impact of the Mediterranean-DASH Intervention for Neurodegenerative Delay (MIND) diet on relapsing-remitting multiple sclerosis (RRMS) remains an underexplored area. Objectives/Aims: This study aims to evaluate the influence of the MIND diet on RRMS by examining neurological, cognitive, and functional magnetic resonance imaging (fMRI) parameters. Methods: Seventeen early-stage RRMS patients (aged 20-40, disease duration < 10 years, Beck Depression Inventory Score < 17) underwent MRI at baseline and following a 9-month adherence to the MIND diet. They were matched with 10 healthy controls. Diet adherence was assessed using the MIND Diet scale score. MRI encompassed structural and resting-state fMRI (RS-fMRI) sequences. Neurological evaluation (Expanded Disability Status Scale [EDSS], Timed 25-Foot Walk [T25W], 9-Hole Peg Test [9HPT]), and cognitive assessments (Mini-Mental State Examination [MMSE], Rey Auditory Verbal Learning Test [AVLT], phonemic and semantic fluency, forward and backward digit span tests [FDST, BDST]) were conducted. Functional connectivity was assessed using seed-based correlation (SBC) and global correlation by general linear model (GLM), focusing on Default Mode Network (DMN), Central Executive Network (CEN), Dorsal Attention Network (DAN), Salience Network (SN), Visual Network (VN), and Sensorimotor Network (SMN). Results: Patients exhibited high adherence to the diet throughout the 9-month period. Significant improvements were observed in dominant hand 9-HPT (p=0.023) and AVLT parameters (p<0.001), except delayed recall (p=0.982), following the intervention. Increased connectivity within the whole brain was noted in the left frontal orbital cortex of the 9th-month group compared to healthy controls (p=0.000005). Moreover, RRMS patients in the 9th-month group displayed enhanced functional connectivity in the bilateral caudate, bilateral pallidum, and right putamen within the DMN compared to baseline (p=0.000034). Conclusion: The findings of this study suggest potential cognitive benefits of the MIND diet, as evidenced by improvements in AVLT scores. Furthermore, the observed alterations in Default Mode Network (DMN) connectivity in RRMS patients following the dietary intervention indicate a promising avenue for further investigation into cognitive deficit management in this population
- ItemGame-based teaching in teacher education: a systematic review(ICETOL, 2022-06) Aydın, Sevim; Bertiz, Yasemin; Parlak Yılmaz, Nuray; 385249Today, technological tools have entered almost all fields and have been used extensively. Games have inevitably been affected by this process and games have become played in virtual environments with digital tools. Today, people of all ages interact with games and children can spend long hours playing games without getting bored, and the results of the research have paved the way for the use of games in education. The research, it is aimed to systematically deal with the studies on game-based teaching used in teacher education. The distribution of these studies by years, the distribution of their methods, data collection tools, data analysis methods, keywords, citations and country distribution of citations were revealed. Advanced search modules ERIC, EBSCO, Web of Science and TR Index are used. Keywords in the search are “game-based teaching” or “digital game-based learning”. Among the research articles, articles used as teaching methods and educational studies in higher education were taken. In this context, the PRISMA statement was used in research and report creation. The obtained data and results were analyzed by discussing with other findings obtained from the literature.
- Itemİleri malzemeler ve simülasyon teknikleriyle otomotiv sac şekillendirme süreçlerinde kenar çatlaklarının incelenmesi(Bilsel Yayıncılık, 2024-12) Şahin, Umut Fırat; Özer, Hakkı; Şahin, Eslem; 414011; Diaconu Maxim, Laura; Altunok, BaharOtomotiv endüstrisinde hafiflik ve dayanıklılık arayışı, sac metal şekillendirme süreçlerindeki zorlukları artırmıştır. Gelişmiş yüksek mukavemetli çelikler ve alüminyum alaşımlarının yaygınlaşmasıyla birlikte, kenar çatlaması sorunu daha da önemli hale gelmiştir. Kenar çatlağı, sac metal şekillendirme süreçlerinde malzemenin kenar bölgesinde oluşan çatlaklardır ve genellikle kesme, delme veya şekillendirme işlemleri sırasında meydana gelir. Bu sorun, özellikle gelişmiş yüksek mukavemetli çelikler ve alüminyum alaşımlarında daha sık görülmekte olup, malzemelerin ince kesitlerinde yüksek gerilmeler nedeniyle ortaya çıkar. Kenar çatlakları, parça dayanımını ve estetik kalitesini olumsuz etkileyerek otomotiv sektöründe kalite ve güvenlik problemlerine yol açabilir. Bu tür çatlakların oluşumunda, malzemenin mikroyapısal özellikleri, kesme yöntemi, kenar hazırlama teknikleri ve şekillendirme proses parametreleri gibi faktörler önemli rol oynar. Bu sorununun önlenmesi, doğru malzeme seçimi, optimize edilmiş proses tasarımı ve yenilikçi kesme teknolojilerinin uygulanmasını gerektirir. Bu çalışmada, gelişmiş simülasyon araçlarından biri olan AutoForm kullanılarak farklı malzemelerin şekillendirme davranışları incelenmiştir. Parçaya uygulanan kesme yöntemleri, hazırlama teknikleri ve proses parametrelerinin çatlak oluşumu ve ilerlemesi üzerindeki etkileri vurgulanmaktadır. Bu sayede, kenar çatlağının başlangıç ve yayılımı daha iyi anlaşılmış ve üretim süreçleri için önem arz eden veriler elde edilmiştir. Simülasyon sonuçlarına dayanarak, malzeme yenilikleri, üretim tekniklerindeki iyileştirmeler ve tasarım optimizasyonu gibi farklı boyutlarda kenar çatlaması azaltma stratejileri önerilmektedir. Bu stratejiler hem malzemelerin mikroyapısal özelliklerini hem de şekillendirme süreç parametrelerini kapsayacak şekilde tasarlanmıştır. Bu çalışma, gelişmiş malzemelerin üretim sürecindeki simülasyon araçları arasındaki karmaşık etkileşimi ortaya koyarak, mühendisler ve araştırmacılar için önemli bir bakış açısı sunmaktadır. Elde edilen bulgular, otomotiv sektöründe sürdürülebilirlik ve performans beklentilerini karşılayacak, aynı zamanda güvenilir ve dayanıklı otomotiv bileşenlerinin geliştirilmesine katkı sağlayacaktır. Sonuç olarak, bu çalışma kenar çatlaması sorununa bütüncül bir yaklaşımla çözüm önerileri sunarak sektördeki gelişmelere önemli bir katkı sağlayacaktır.
- ItemInvestigation of the effect of computer-aided animations on conceptual understanding through metaphors: an example of artificial intelligence(ICETOL, 2022-06) Aydın, Sevim; Duman, Emel; Bertiz, Yasemin; Birişçi, Salih; 385249In this research, Information Technology and Software (IT) course the differences between the conceptual understanding of fifth grade students regarding the concept of artificial intelligence before and after computer-aided animation monitoring were tried to be determined through metaphors. In the 2021-2022 academic year, 39 teachers working in the field of Information Technologies and 101 fifth-grade students studying at a secondary school in the Nilufer District of Bursa participated in the study. The purposeful sampling method was used to select the sample of the study. At the first stage of the study, the “Information Technology and Software Course Concept Teaching Questionnaire” prepared by the researchers was applied to the teachers online in order to identify the concepts that had difficulty in teaching within the scope of the BTY course. As a result of the survey dec, many concepts that are difficult to teach have been revealed, and among them, the concept of “artificial intelligence” has been included in the study due to its current and open to development. In the second stage of the study, in order to determine the metaphorical perceptions of students about the concept of artificial intelligence, students were asked to “Artificial intelligence is like ... because …”. In the light of the themes obtained from the metaphor results, computer-aided animation was developed by the researchers, which takes the concept of artificial intelligence as a subject. After the animation was shown to the students, the metaphor study was repeated and the change in the students' understanding of the concept of artificial intelligence was tried to determine. As a result of the study, although the conceptual categories related to artificial intelligence had similar characteristics in general, it was found that the justifications in the conceptual perceptions after animation were more meaningful
- ItemOptimal Smart Agriculture Technologies and Solutions in the Future of Farming(Ataturk University, 2024-12) Çakmakçı, Muhammet Fatih; Günay, Faruk Baturalp; 410449Precision agriculture technologies have been developed and are still being developed to increase the efficiency of agricultural processes, optimize resource utilization, and support environmental sustainability. One of the most important ways to solve food shortages is the use of modern technology and the integration of artificial intelligence in agriculture to increase productivity. Smart farming uses technologies such as optical, mechanical, and electrochemical sensors; air flow and location tracking; drones; satellite imagery; artificial intelligence; and the Internet of Things to monitor, analyze and manage farm practices. Smart agricultural technologies are utilized in a wide range of areas, including pest management, weed control, plant monitoring, storage management, irrigation management, disease management and control, weather forecasting and monitoring, yield estimation, soil composition analysis, and agricultural machinery management. By utilizing realtime data and intelligent decision-making systems, smart agriculture aims to increase productivity, reduce resource waste, improve sustainability, and address the challenges posed by a growing global population. Another goal of precision agriculture technology is to automate data collection and analysis processes, enabling farmers to make more informed decisions while reducing the cost of agricultural inputs and increasing productivity. The use of digital technologies in agriculture and livestock is rapidly increasing. Smart monitoring systems enhance agricultural efficiency, whereas digital technologies improve productivity, sustainability, and effectiveness. Smart greenhouses, irrigation, and fertilization systems support agricultural sustainability by monitoring environmental and plant parameters. In this study, the opportunities, benefits, future trends, and effects of the use of precision agriculture technologies on sustainable agriculture and food production are discussed.
- ItemSac şekillendirme simülasyonlarında triboform ve triboformsuz yaklaşımlar(Bilsel Yayıncılık, 2024-12) Şahin, Umut Fırat; Özer, Hakkı; Şahin, Eslem; 414011; Diaconu Maxim, Laura; Altunok, BaharOtomotiv endüstrisi başta olmak üzere, karmaşık geometrilere sahip sac parçaların tasarımı ve üretimi, günümüz imalat süreçlerinin vazgeçilmez bir parçasıdır. Bu süreçlerin optimize edilmesi ve üretim maliyetlerinin düşürülmesi amacıyla, sac şekillendirme simülasyonları sıklıkla tercih edilmektedir. Simülasyonların gerçekçi sonuçlar vermesi için, sürtünme ve yağlama gibi parametrelerin doğru bir şekilde modellenmesi büyük önem taşımaktadır. AutoForm yazılımının TriboForm modülü, bu alanda geleneksel sabit katsayı yaklaşımlarına kıyasla daha fiziksel gerçekçi bir sürtünme modeli sunarak önemli avantajlar sağlamaktadır. TriboForm modülü, sac şekillendirme simülasyonlarında sürtünme davranışını daha gerçekçi bir şekilde modelleyerek, geleneksel sabit katsayı yaklaşımlarına göre önemli avantajlar sunmaktadır. Bu modül, yüzey pürüzlülüğü, yağlama türü, basınç, sıcaklık ve kayma hızı gibi değişkenleri dikkate alarak, malzeme ve takım yüzeylerinin şekillendirme sürecindeki etkileşimlerini daha doğru bir şekilde temsil eder. Standart simülasyonlarda kullanılan sabit sürtünme katsayısı, şekillendirme sırasında yüzeylerin dinamik koşullarda gösterdiği değişken sürtünme davranışını yansıtamaz. Bu durum, malzeme akışı, geri esneme ve şekil bozukluklarının tahmininde sapmalara yol açar. Diğer yandan, TriboForm modülü, kenar çatlağı, geri esneme ve burkulma gibi şekil kusurlarını daha hassas bir şekilde öngörerek, üretim hatalarının önceden tespit edilmesini amaçlar. AutoForm'un TriboForm modülü, otomotiv sektöründe karmaşık geometrilere sahip parçaların üretiminde yaygın olarak kullanılmaktadır. Bu modül, hafifletilmiş yapıların tasarımı, kalıp ömrünün uzatılması ve yeni malzemelerin değerlendirilmesi gibi konularda önemli avantajlar sunar. TriboForm, üretim süreçlerinde daha detaylı analizler yapılmasını sağlayarak optimizasyon çalışmalarını hızlandırır. Ancak düşük karmaşıklıktaki şekillendirme süreçlerinde triboformsuz simülasyonlar da uygun maliyetli bir alternatif olabilir. Üretimdeki sürtünme katsayısı hala araştırılan konular arasında yer almaktadır. Bu çalışmada, basit bir model oluşturularak triboformun etkisi araştırılmıştır.
- ItemThe Future of Farming: Leveraging AI, Machine Learning, and Smart Systems for Optimal Agricultural Practices(ÇOMU Publication, 2024-10) Çakmakçı, Muhammet Fatih; Günay, Faruk Baturalp; 410449In smart agriculture (SA), key applications of intelligent technologies include pest management, weed control, monitoring agricultural products, storage management, disease management and control, weather forecasting and monitoring, irrigation management, yield prediction, soil composition and management, and machinery management. Managing the agricultural production supply chain, measuring soil variability, improving agricultural production and management, reducing resource usage, monitoring water consumption, enhancing agricultural processes, identifying agricultural risks and hazards, and optimizing decision-making are crucial application areas of agricultural technologies.The use of digital technologies in agriculture and livestock is rapidly increasing. Optical, mechanical, electrochemical sensors, air flow, and location tracking technologies provide early warnings for diseases and pests, optimizing harvest processes. Smart monitoring systems enhance agricultural efficiency, while digital technologies improve productivity, sustainability, and effectiveness. Smart greenhouses, irrigation, and fertilization systems support agricultural sustainability by monitoring environmental and plant parameters.In livestock management, environmental and body sensors improve animal health and living conditions. Machine learning algorithms are effective in detecting mating behaviors and diseases in livestock. Precision livestock systems monitor health and welfare parameters, increasing productivity and protecting animal health. Artificial intelligence (AI) and machine learning (ML) applications are effective in analyzing soil data, plant phenotyping, and carbon stock estimation. Smart irrigation systems contribute to water conservation and increased efficiency. Additionally, smart harvesting systems help achieve sustainable production with lower costs and increased productivity. These technologies enhance the sustainability of agriculture and livestock by strengthening the capacity to manage productivity and environmental impacts. This article will discuss the topics that mentioned above.
