• Tight-coupled Microstrip Hairpin Bandpass Filter 

  Ramdedović, Amel; Imeci, Sehabeddin Taha (Elsevier, 2023)

  The paper depicts a microstrip hairpin bandpass filter design, simulation, fabrication and test. The proposed microstrip filter's design is comprised of five hairpin structures separated by a tenth of a mm distance for ...

• Maddi Olayın Gerçekliğinin Tespitindeki Hatanın Vergi Usul Kanunu Hata Düzeltme Hükümleri Kapsamında Değerlendirilmesi: İstanbul BİM Başkanlar Kurulunun E.2015/10, K.2025/10 Sayılı Kararına İlişkin İnceleme 

  Çamurcu, Zeynep Nihan (Maliye Hesap Uzmanları Derneği, 2025)

  Bu çalışmanın amacı; İstanbul Bölge İdare Mahkemesi Başkanlar Kurulunun E.2015/10, K.2025/10 Sayılı “vergi mahkemeleri arası içtihat farklılığının giderilmesi talebiyle Danıştay’a başvurulması” talebiyle verilen kararın ...

• The Mediating Role of Rumination in the Relationship Between Interpersonal Mindfulness or Differentiation of Self and Forgiveness in Romantic Relationships 

  Bayraktar, Elif; Kumova, Filiz (Bursa Uludağ University, 2025)

  The present study explores the possible mediating role of rumination in the relationship between forgiveness and interpersonal mindfulness or differentiation of self in romantic relationships. A total of 662 young adults ...

• Trends of Relative Commodity Prices with Comovements and Structural Breaks 

  Lee, Junsoo; Islam, Md. Towhidul; Tieslau, Margie; Payne, James E.; Nazlıoğlu, Şaban (Elsevier, 2026)

  The Prebisch-Singer (1950, PS) hypothesis posits a long-term decline in the relative prices of primary commodities (natural resources) compared to manufactured goods. This hypothesis carries important implications for ...

• Shapley Patch Valuation Method for Histopathological Image Classification 

  Karadeniz, Büşra Sinem; Dik, Sümeyye Zülal; Kuş, Zeki; Aydın, Musa (Institute of Electrical and Electronics Engineers Inc., 2025)

  This study introduces a patch valuation method based on Shapley values for histopathological image classification, addressing the computational challenges of processing large whole-slide images (WSIs). The proposed approach ...

• Role of Weak Interactions and Steric Effect in Chemosensing Using Cyclodextrins 

  Koyuncu, Ayfer; Çiftçi, Fatih (Springer, 2025)

  Cyclodextrins (CDs), a family of cyclic oligosaccharides, have garnered significant attention in chemosensing applications due to their unique ability to form inclusion complexes with various guest molecules. The hydrophobic ...

• Data Valuation with Shapley-based Methods for Medical Image Classification 

  Akçelik, Zeliha Kaya; Hoşavcı, Reyhan; Dik, Sümeyye Zülal; Aydın, Musa; Kuş, Zeki (Institute of Electrical and Electronics Engineers Inc., 2025)

  This study introduces novel approaches to data valuation in medical image classification, focusing on the Gradient Shapley and Improved Gradient Shapley methods. These methods aim to reduce data selection costs while ...

• Deep Learning-based Virtual Birefringence Imaging and Staining of Amyloid Deposits in Label-Free Tissue 

  Yang, Xilin; Bai, Bijie; Zhang, Yijie; Aydin, Musa; Li, Yuzhu; Selcuk, Sahan Yoruc; Costa, Paloma Casteleiro; Guo, Zhen; Fishbein, Gregory A.; Atlan, Karine; Wallace, William Dean; Pillar, Nir; Ozcan, Aydogan (Institute of Electrical and Electronics Engineers Inc., 2025)

  We present virtual birefringence imaging and staining, enabling label-free detection of amyloid deposits in tissue. By transforming autofluorescence images into virtually-stained brightfield and polarization images, this ...

• Cyclodextrin- Enhanced UVR Absorbers Versatile Solutions for Fabrics, Polymers, and Beyond 

  Koyuncu, Ayfer; Çiftçi, Fatih (Taylor & Francis, 2025)

  Ultraviolet radiation (UVR), a form of electromagnetic radiation, significantly impacts both organic and inorganic materials. Solar UVR poses risks to materials and human health, causing polymer degradation, dye fading, ...

• Tree-Based Ensemble Regression Models for Emission Prediction of a Winter Green Oil-Hydrogen Dual-Fuel Engine with Zeolite After-Treatment 

  Js, Femilda Josephin; Subramanian, Balaji; Renjit, E. Jeslin; S, Naveen Venkatesh; Sugumaran, V; Subramanian, Thiyagarajan; Kiani, Farzad; Varuvel, Edwin Geo; Matijosius, Jonas; Kilikevicius, Arturas (Elsevier, 2025)

  This study presents an emission prediction framework for a dual-fuel compression-ignition engine operated on a 20 % winter green oil–diesel blend enriched with hydrogen and equipped with a zeolite-based after-treatment system. ...

• The Role of Ions in Dental Tissue Treatment, Repair and Remodelling: Mechanisms, Materials and Clinical Implications 

  Yücer, Şeydanur; Saraç, Begüm; Özarslan, Ali Can; Çiftçi, Fatih (Elsevier, 2025)

  Ions play a pivotal role in dental tissue treatment, repair, and remodeling by influencing biochemical pathways and structural integrity. This review explores the multifaceted mechanisms through which ions interact ...

• MOLiNAS: Multi‑Objective Lightweight Neural Architecture Search for Whole‑Slide Multi‑Class Blood Cell Segmentation 

  Kuş, Zeki; Kiraz, Berna; Aydın, Musa; Kiraz, Alper (Springer, 2025)

  Blood cell analysis plays a key role in clinical diagnosis and hematological research. The accurate identification and quantification of different blood cell types is essential for the diagnosis of various diseases. The ...

• Functional Bioink and 3D Bioprinting Tissue Scaffold Applications for Spinal Cord Injury 

  Yücer, Şeydanur; Saraç, Begüm; Özarslan, Ali Can; Sakarya, Deniz; Özerol, Esma Ahlatçıoğlu; Çiftçi, Fatih (Springer, 2025)

  Spinal cord injury (SCI), commonly resulting from sudden trauma such as traffic or sports accidents, leads to severe disruption of axonal connections and loss of sensory and motor function below the injury site. Despite ...

• Engineered Smart Nano-Bio-Physio Sensing Platforms as Emerging Point-of-Care Technologies: Materials, Mechanisms, and Applications 

  Yücer, Şeydanur; Saraç, Begüm; Çiftçi, Fatih; Ghorbanpour, Mansour (Elsevier, 2025)

  The rapid evolution of smart nano-bio-physio sensing platforms has revolutionized point-of-care (POC) technologies, offering unprecedented opportunities for real-time health monitoring, disease diagnosis, and personaliz ...

• Development of a Biofunctional Conductive Neural Scaffold Based on Chitosan, Polycaprolactone, Carvacrol and Polyaniline 

  Özalp, Elif; Oktay, Büşra; Çiftçi, Fatih; Erarslan, Azime; Özerol, Esma Ahlatçıoğlu (Taylor & Francis, 2025)

  Damage in neural tissues poses a significant challenge in regenerative medicine, requiring scaffolds that support both biological and electrical functions. Conductive biomaterials offer promising solutions by promoting ...

• A Program-Output Estimator for Software Testing Using Program Analysis and Deep Learning Algorithms 

  Arasteh, Bahman; Sefati, Seyed Salar; Güneş, Peri; Hosseinzadeh, Vahid; Kiani, Farzad (Springer, 2025)

  Software testing is increasingly used as a software quality control method. During testing, the program under test’s output is compared with the expected correct output using test data. Estimating the program’s correct ...

• A Multiband Textile-Based Metamaterial Absorber for WiMAX and WLAN Applications 

  Köse, Umut; Çınar, Alparslan (IEEE, 2025)

  In this paper, a multi-band textile-based absorber design for WiMAX and WLAN bands is presented. The proposed absorber demonstrates an absorption spectrum of over 0.99 at 2.452 GHz, 3.504 GHz, and 5.264 GHz, as well as ...

• A Metaheuristic and Neural Network-Based Framework for Automated Software Test Oracles Under Limited Test Data Conditions 

  Arasteh, Bahman; Bulut, Faruk; İnce, İbrahim Furkan; Sefati, Seyed Salar; Kusetoğulları, Hüseyin; Kiani, Farzad (Springer, 2025)

  With the growing complexity of modern software systems, the demand for effective and efficient testing techniques has become an important aspect of the software development process. Software Test Oracles (STOs) play a ...

• Correction to: Four‑Dimensional (4D) Bioprinting: A Systematic Scoping Review of Stimuli‑Responsive Constructs for Applications in Tissue Engineering and Drug Delivery 

  Moghaddas, Mohammad; Oktay, Büşra; Bingöl, Ayşe Betül; Yanıkoğlu, Reyhan; Çiftçi, Fatih; Üstündağ, Cem Bülent (Springer, 2025)

  The publication of this article unfortunately contained mistakes. There were several errors within the text. The corrected text is given below. Citation–claim mismatch errors In this section, we categorize errors where ...

• Analyzing EEG Data During Opium Addiction Treatment Using a Fuzzy Logic-Based Machine Learning Model 

  DehAbadi, Elnaz; Anka, Fateme Ayşin; Vafaei, Fateme; Lanjanian, Hossein; Nematzadeh, Sajjad; Afshar, Mahsa Torkamanian; Aghahosseinzargar, Nazanin; Kiani, Farzad; Abharian, Peyman Hassani (Frontiers, 2025)

  Background: Reliable noninvasive tools for assessing substance abuse treatment and predicting outcomes remain a challenge. We believe EEG-derived complexity measures may have a direct link to clinical diagnosis. To this ...

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