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Kur’an Kursu Öğreticilerinin Ses Eğitimi Farkındalıklarının ve İhtiyaçlarının Belirlenmesi: Haseki Örneği
No full textBu çalışma, Kur’an kursu öğreticilerinin ses kullanımı, ses eğitimi farkındalık düzeyleri ve hizmet içi eğitim ihtiyaçlarını belirlemeyi amaçlamaktadır. Çalışma nitel araştırma yöntemlerinden durum çalışması dizaynına göre yapılmıştır. Katılımcılar, İstanbul Haseki Abdurrahman Gürses Kıraat Dinî İhtisas Merkezinde eğitim almış 83 Kur'an kursu öğreticisidir. Veri toplama aracı olarak kişisel bilgi formu, katılımcıların ses durumları, ses eğitimi farkındalıkları ve eğitim ihtiyaçlarına yönelik anket ile araştırmacı tarafından geliştirilen 12 maddelik Likert tipte Dinî Musiki/Ses Eğitimi Hizmet içi Eğitim Programı İhtiyaç Analiz Ölçeği kullanılmıştır. Verilerin analizinde yüzde, frekans ve Ki-kare istatistiği kullanılmıştır. Araştırma sonucunda, katılımcıların mesleki gelişimlerinde müzik bilgisine ihtiyaç duydukları, ses eğitimi konusunda hizmet içi eğitimi gerekli buldukları ortaya çıkmıştır. Eğitimin içeriğinde ses eğitimine dair teorik konular, ses sağlığı, nefes egzersizleri, ses kullanımı konularının olması yönünde ve dinî musiki repertuvarlarını geliştirme istekleri doğrultusunda görüşlerinin anlamlı bir şekilde farklılaştığı belirlenmiştir (p<0.05). İlerideki araştırmalarda din görevlilerinin dinî musiki ses eğitimi ihtiyaçlarının belirlenmesi daha geniş ölçeğe genişletilebilir.This study aims to determine Qur’an course instructors’ voice use, awareness of voice training, and in-service training needs. It was conducted as a qualitative case study. Participants were 83 Qur’an course instructors trained at the Istanbul Haseki Abdurrahman Gürses Kıraat Religious Expertise Center. Data collection tools included a personal information form, a survey on vocal condition, awareness, and training needs, and a 12-item Likert-type scale developed by the researcher for analyzing in-service training requirements in Religious Music/Voice Training. Data were analyzed using percentage, frequency, and Chi-square statistics. Findings revealed that participants required music knowledge for professional development and considered in-service training in voice education necessary. Significant differences (p<0.05) were found in their views on including theoretical topics of voice training, vocal health, breathing exercises, voice use, and expanding the religious music repertoire. Future research may extend the identification of religious officials’ voice training needs to a broader scale
The Ecological Delivery Paradox in the Programmatic Advertising System Under Predictive Marketing
No full textTeaching An Old Dog New Tricks: Leveraging Foundation Models To Integrate Bulk Rna-Seq With Scrna-Seq For Enhanced Cancer Classification
No full textBio-medical data used in bioinformatics can be categorized into omics and non-omics. Non-omics data includes clinical information such as patient records, epidemiological data, and physician assessments. They are obtained from reports created using personal health information or physician evaluations derived from patient health reports. On the other hand, omics data consists of biological attributes that serve as potential biomarkers and help explain the connections between different molecules and organisms. Omics data, including genomics, transcriptomics, and proteomics, allows for gene expression analyses, functional, and structural genomics analyses. High-throughput sequencing is the primary omics data generation method, especially for genomic (DNA sequencing), transcriptomic (RNA sequencing), and partially epigenomic (ChIP-sequencing, bisulfite sequencing, etc.) studies. High-throughput sequencing has dramatically advanced the human genome study, especially in cancer research. Initially, high-throughput sequencing is completed on RNA extracted from a tissue sample of multiple cell types. This is called bulk sequencing. However, the developing sequencing technology is now at the point where individual cells can be sequenced enabling more granular insight, which is called single-cell sequencing or scRNA-seq. Meanwhile, significant advances in artificial intelligence, especially deep learning and foundation models such as BERT and GPT-3, have expanded into bioinformatics. These models, initially developed for natural language processing, are increasingly applied to large-scale biological data. Notably, scGPT represents a pioneering effort to leverage such models for analyzing scRNA-seq data, where they tried to show the applicability of foundation models to advance cellular biology and genetic research. scFoundation, scBERT, and xTRIMOGENE can be mentioned as other foundation models that use scRNA-seq data besides scGPT. On the other hand, a wealth of knowledge has been accumulated thanks to many studies conducted with bulk sequencing data. This knowledge can advance the research regarding the scRNA-seq data. However, no research connects these two research streamlines. Our study investigates the suitability of bulk sequencing data with the models created using scRNA-seq data. For this purpose, The Cancer Genome Atlas Program (TCGA) data consisting of 33 different cancer types and approximately eleven thousand cases (observation values of the model) was fed into the scGPT model, enabling 19,318 protein-coding genes (variables) to be embedded into a 512-dimensional space. Then, the random forest (RF) algorithm, one of the machine learning techniques, was run using the embedding results, and a 73.57% accuracy value was obtained. In the next stage, a pre-selection process was performed to select highly variable genes (HVG) exhibiting the most significant expression variability across cells. The accuracy performance of the RF algorithm run due to the embedding with the HVG process increased to 86.33%.</p
Evaluation of Anomaly Detection Methods for OTA-Integrated Automotive Systems
No full textThe rise of Over-the-Air (OTA) technology in automotive systems brings significant convenience and cost savings but also introduces new cyber-physical risks. In the context of connected and autonomous vehicles (CAVs), ensuring robust anomaly detection mechanisms becomes critical to counter evolving threats targeting in-vehicle networks such as the Controller Area Network (CAN) bus. This paper presents a comprehensive evaluation of anomaly detection methods for OTA-integrated automotive systems. We review statistical, machine learning, and deep learning approaches, with a particular focus on their suitability for real-time deployment under automotive constraints. Our analysis draws on recent advances in literature, compares detection efficacy, computational overhead, and real-world adaptability, and provides insights into future research directions for the secure integration of OTA capabilities. The results highlight that hybrid, context-aware models leveraging both payload and sequence-level information achieve state-of-the-art detection with minimal resource consumption. Recommendations are made for integrating robust anomaly detection into OTA update frameworks, balancing accuracy, interpretability, and efficiency
Serigrafi Baskı ve Andy Warhol’un Postmodern Sanata Etkisi
No full textSerigrafi baskı, tarihsel olarak tekstil ve dekoratif uygulamalardan beslenen; günümüzde ise çağdaş sanat ile endüstriyel üretim arasında kavramsal bir köprü kuran özgün bir tekniktir. Bu çalışma, serigrafinin tarihsel evrimini ve estetik/teknik imkânlarını, Andy Warhol’un üretimleri üzerinden postmodern sanatın dönüşümü bağlamında inceler. Warhol’un serigrafiyi tekrarlama, seri üretim ve parlak yüzey estetiğiyle birleştirmesi; sanatın özgünlük, çoğaltılabilirlik ve değer atfı gibi temel kavramlarını yeniden düşünmeye zorlar. Popüler kültür imgeleri, ünlülük ve tüketim göstergelerinin sanatın merkezine taşınması, sanat-ticaret sınırlarını geçirgenleştirirken, “Fabrika” modeli sanatın kolektif üretim ve dolaşım mantıklarıyla iç içe geçtiğini görünür kılar. Makalede, serigrafinin sanatı elit alanlardan çıkarıp yaygın izleyiciyle buluşturmadaki rolü; teknik süreçlerin (matris, şablon, mürekkep aktarımı, çoklu baskı) estetik sonuçlarla kurduğu ilişki ve bu ilişkinin güncel görsel kültürde kimlik, otantiklik ve metalaşma tartışmalarına katkısı ele alınır. Sonuç olarak, serigrafi yalnızca bir üretim yöntemi değil; sanatın demokratikleşmesini, kültürel eleştiriyi ve postmodern ifade olanaklarını birlikte taşıyan kavramsal bir araç olarak konumlanır.Screen printing is a distinctive technique historically rooted in textiles and decorative practices, now functioning as a conceptual bridge between contemporary art and industrial production. This article examines the historical evolution and aesthetic/technical capacities of screen printing through the lens of Andy Warhol’s oeuvre and its role in the transformation of postmodern art. By fusing repetition, serial production and glossy surface aesthetics, Warhol compels a reassessment of core notions such as originality, reproducibility and value attribution. The relocation of celebrity, popular icons and consumer signs to the center of art renders the boundary between art and commerce permeable, while the “Factory” model exposes art’s entanglement with collective production and circulation. The study discusses screen printing’s role in expanding art beyond elite spheres; the linkage between technical procedures (matrix, stencil, ink transfer, multi-impressions) and aesthetic outcomes; and their contribution to current debates on identity, authenticity and commodification in visual culture. Ultimately, screen printing emerges not merely as a method of making but as a conceptual instrument that jointly advances democratization of art, cultural critique and the expressive possibilities of postmodern practice.</p
Özel Yetenekli Öğrencilerin Proje Hazırlama Becerilerine İlişkin Sistematik Literatür İncelemesi
No full textYabancı Dil Olarak Türkçe Öğretiminde Aracılık Strateji ve Etkinliklerinin Kullanımına Dair Bir Durum Çalışması
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