İZÜ Araştırma ve Akademik Performans Sistemi
DSpace@İZÜ, İstanbul Sabahattin Zaim Üniversitesi’nin bilimsel araştırma ve akademik performansını izleme, analiz etme ve raporlama süreçlerini tek çatı altında buluşturan bütünleşik bilgi sistemidir.
Güncel Gönderiler
Öğe Türü: Yayın , Extraction, Modification, and Application of Dietary Fibre Powders in Foods: A Review(Springer, 2026) Ermiş, Ertan; Lee, Chi Ching; Tekiner, İsmail Hakkı; Ermiş, Ertan; Lee, Chı-ChıngDietary fibres (DFs) have gained significant attention in the food industry due to their functional and nutritional benefits. They are mostly produced in powder form from sources such as fruits, vegetables, and grains. Different production methods can be used for the valorization of dietary fibre-rich food matrices, enabling the development of functional powders with extended shelf life and health-promoting properties. They are rich in soluble and insoluble fibres and their use in food formulations provides several advantages, including improved texture, increased shelf life, and enhanced nutritional value. Recent meta-analyses confirm that soluble fibres improve glycaemic control and lipid profiles, while insoluble fibres primarily contribute to bowel regularity and stool bulking. This review compiles and critically analyzes recent literature retrieved primarily from the Web of Science database (2010–2024), focusing on the sources, extraction and modification methods, powder properties, and functional applications of dietary fibre powders in food systems. Emphasis is placed on the structure–function relationships of DF powders and how different processing methods influence their techno-functional properties, bioactivity, and product quality.Öğe Türü: Yayın , A Deep Dictionary Clustering Approach for Unsupervised Image Retrieval Using Convolutional Sparse Coding(Nature Research, 2026) Reddy, G. Sucharitha; Vikas, B.; Bhaskar Reddy, P. V.; Suneel, Sajja; Divya, Naadem; Osman, Onur; Rasheed, Jawad; Rasheed, JawadMedical image repositories have been rapidly growing due to the widespread use of imaging techniques, making manual annotation unfeasible. Efficient image retrieval systems are crucial for diagnosing diseases, planning treatments, and conducting medical research. This paper presents Deep Dictionary Clustering for Image Retrieval (DDicCIR), a novel framework that integrates deep learning with dictionary clustering for unsupervised medical image retrieval. The method employs DenseNet121 to extract image features, followed by a two-level dictionary learning process. In the first dictionary layer, the sparse representations are learned to group similar images, while the second layer refines these representations to capture higher-level abstractions and improve feature discrimination. An iterative clustering mechanism, based on k-means, updates the clusters until convergence, enhancing sparsity, reducing noise, and strengthening category separation. Experimental results on the NIH Chest X-ray and IRMA datasets show that DDicCIR achieves significant improvements in precision, recall, and mean average precision (mAP), demonstrating its effectiveness for medical image retrieval.Öğe Türü: Yayın , Validation of the Chronic Illness Adjustment Scale in Turkish Patients with Chronic Disease(BioMed Central Ltd, 2026) Bahçecioğlu Turan, Gülcan; Özer, Zülfünaz; Çiftçi, Bahar; Özer, ZülfünazObjective This study aimed to adapt the Chronic Illness Adjustment Scale into Turkish and to evaluate its validity and reliability in assessing how individuals with chronic illnesses adjust to their condition. Methods This methodological study was conducted between July 2024 and July 2025, involving 518 chronic patients who visited the internal medicine outpatient clinic of a university hospital. Data were collected using the Personal Information Form and the Chronic Illness Adjustment Scale (CIAS). Results According to confirmatory factor analysis, the factor loadings of the scale ranged from 0.300 to 0.850, and a five-dimensional structure was confirmed. The scale’s fit indices were x² = 495.17, df=140 (p<0.05), x²/df=3.53, RMSEA=0.070, CFI=0.94, SRMR=0.057, TLI=0.92, RMR=0.044, and AIC=652.03”. The overall Cronbach’s α coefficient of the scale was 0.80, and for the sub-dimensions, it ranged between 0.67 and 0.80. The validity and reliability of CIAS were proven without any changes to its original form. Conclusion This study determined that the adapted CIAS consists of five subscales and 19 items, is compatible with Turkish culture, and is a valid and reliable scale.Öğe Türü: Yayın , Arteriyovenöz Fistül Kanülasyonu Sırasında Uygulanan Sanal Gerçeklik Gözlüğünün ve Stres Topunun Distress ve Ağrı Üzerine Etkisi(Turk Nefroloji Diyaliz ve Transplantasyon Hemsireleri Dernegi, 2025) Demircan, Buse; Avcı, Dilara; Işık, Nurten; Özer, Zülfünaz; Özer, ZülfünazAmaç: Bu çalışma, hemodiyaliz uygulanan hastalarda arteriovenözfistül kanülasyonu işlemi sırasında uygulanan sanal gerçeklik gözlüğüve stres topunun distres ve ağrı düzeyine etkisi etkisini belirlemekamacıyla ön test son test randomize kontrollü olarak yapılmıştır.Gereç ve Yöntem: Araştırma, İstanbul’da bulunan üç farklı özeldiyaliz merkezinde Kasım 2023-Mart 2024 tarihleri arasında 31’i strestopu grubu, 15’i sanal gerçeklik gözlüğü grubu, 31’i kontrol grubuolmak üzere 77 hasta ile tamamlanmıştır. Veriler “Hasta Bilgi Formu,Distres Termometresi ve Visual Analog Skalası” ile toplanmıştır.Bulgular: İşlem sonrası kontrol grubu, stres topu grubu ve sanalgerçeklik gözlüğü grubu distres termometresi ortalaması sırasıyla5,37±1,7, 3,48±2,4, 2,78±1,96’dır. Kontrol grubunun distrestermometresi ortalaması işlem sonrası değerinin, stres topu grubunave sanal gerçeklik gözlük grubuna göre yüksek olması istatistikselaçısından anlamlıdır (p=0,001). İşlem sonrası kontrol grubu, strestopu grubu ve sanal gerçeklik gözlük grubu distres ağrı ortalamasısırasıyla 5,77±2,1, 4,46±2,3, 3,02±2,36’dır. Kontrol grubunun ağrıortalaması işlem sonrası değerinin, stres topu grubuna ve sanalgerçeklik gözlük grubuna göre yüksek olması istatistiksel açısındananlamlıdır (p=0,001).Sonuç: Arteriovenöz fistül kanülasyonu işlemi sırasında uygulananstres topu ve sanal gerçeklik gözlük uygulamalarının ağrı şiddeti vestres düzeyini azaltmada etkisi olduğu görülmüştür. Hemodiyalizünitelerinde arteriovenöz fistül kanülasyonu işlemi sırasında sanalgerçeklik gözlük ve stres topu gibi non-farmakolojik yöntemlerinkullanımı teşvik edilmeli ve sağlık çalışanları bu konudabilgilendirilmelidir.Öğe Türü: Yayın , Debittering and Masking Soy Peptides for Oral Consumption and Immune-Boosting Function(John Wiley and Sons Inc, 2026) Li, Wei; Wen, Chaoling; Olatunji, Opeyemi Joshua; Lee, Chi Ching; Ashaolu, Tolulope Joshua; Lee, Chı-ChıngSoy peptides (SPs) have been extensively studied with an emphasis on their immune-boosting efects and production-associatedbitterness. This associated bitterness afects SPs’ oral consumption despite their bioactivities. In this review, the immune-boostingfunctions, factors afecting bitterness, and consumers’ perceptions of SPs are explored. Debittering/masking strategies to improveSP acceptability for oral consumption and formulation of SP-based food products are ultimately provided. It is established that SPscan contribute to immune functions despite diferent factors afecting bitterness perception by consumers, ranging from dietaryand culinary to genetic and other components of the food matrix. Furthermore, SP bitterness levels can be reduced using a widerange of biophysicochemical debittering and masking methods. This review provides a unique and integrative perspective bylinking the immune-boosting functions of SPs directly to the critical challenge of bitterness and its mitigation. Future studiesfocusing on highly efcient debittering techniques that support the immune-boosting efect, quality, and mouthfeel of SPs and SP-incorporated products are warranted.
