• 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 ...

• 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 ...

• 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 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 ...

• A Bedbug Optimization-Based Machine Learning Framework for Software Fault Prediction 

  Aresteh, Bahman; Sefati, Seyed Salar; Popovici, Eduard-Cristian; İnce, İbrahim Furkan; Kiani, Farzad (MDPI, 2025)

  Predicting software faults and identifying defective modules is a significant challenge in developing reliable software products. Machine Learning (ML) approaches on the historical fault datasets are utilized to classify ...

• A Comparative Analysis of Large Deformation Behavior of Thin Flat and Corrugated Steel Plates Under Static and Blast Loading 

  Erkmen, Bülent; Sarı, Ali; Öztürk, Sezer (Techno-Press, 2025)

  This paper investigates the large deformation behavior of thin flat and corrugated (crimp) steel plates used in prefabricated blast-resistant modular structures through finite element simulations. The study evaluates plate ...

• Investigation of The Effects of Solution Heat Treatment (SHT) on Microstructure, Phase Transformation, and Corrosion Properties of AlSi10Mg Alloy Produced by LPBF 

  Yılmaz, Mustafa Safa; Tütük, İbrahim; Ural, Mehmet Moğoltay; Özer, Gökhan (Emerald, 2025)

  Purpose – This study aims to apply solution heat treatment (SHT) to AlSi10Mg material produced by laser powder bed fusion (LPBF) technique at lower temperatures and times instead of the conventional T6 heat treatment ...

• Microstructure-Corrosion Behavior of Laser Powder Bed Fusion - AlSi10Mg Produced Using Synchronous Scanning Strategy (SSS) 

  Özer, Gökhan; Çalışkan, Cemal İrfan; Khan, Hamaid Mahmood; Tütük, İbrahim (Sage, 2025)

  This study investigates the influence of the Synchronous Scanning Strategy on the microstructural characteristics and corrosion behavior components fabricated via the LPBF process. Electrochemical corrosion tests in 3.5 ...

• Population-based Local Search Algorithms for Cross-domain Search 

  Kiraz, Berna; Ergin, Fatma Corut (Pamukkale Üniversitesi, 2025)

  Population-based local search is a meta-heuristic algorithm combining the principles of the population-based search and the local search. This study presents an extensive comparison of two population-based local search ...

• Eril Tahakkümün Modern Zamanlarda İnşasına Etkin Bir Örnek: ʿAbdülḥalîm ʿAbdullah’ın Guṣnû’z-Zeytûn Adlı Romanı 

  Çelenlioğlu, Asiye (Selçuk Üniversitesi, 2025)

  Mısır edebiyatı Napolyon’un işgaliyle başlayan (1798) Batılılaşma hareketi sırasında çeviri eserler yoluyla yeni formlarla tanışmış, kendi sorunsallarından beslenen ürünlerle millî bir çehreye bürünürken tüm dünya hâkim ...

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

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

  Four-dimensional (4D) bioprinting integrates with stimuli-responsive biomaterials to create dynamic constructs capable of adapting their shape, properties, or bioactivity in response to specific cues. This systematic ...

• Mxene-Modified PMMA/Chitosan Composite E-Skin Scaffold: Bioelectronic and Antibacterial Assessment 

  Gürbüz, Berfin; Çiftçi, Fatih; Özarslan, Ali Can; Yılmaz, Bahar Akyüz (Elsevier, 2025)

  In tissue engineering, e-skin patches serve as wearable wound dressings for healing. In this study, electrospun nanofiber composites were developed by integrating PMMA, MXene, and chitosan (CS) to fabricate multifunctio ...

• Boron Nanoparticle Doped PVA Polymer Composite Nanofibers: In Vitro Behaviors 

  Duygulu, Nilüfer Evcimen; Balkaş, Merve; Çiftçi, Fatih; Kucak, Mine (Elsevier, 2025)

  This study aims to address the limitations associated with boron sources that contain chemical impurities and to enhance the applicability of boron (B) nanoparticle-doped polyvinyl alcohol (PVA) composite nanofibers ...

• Advanced Machine Learning Techniques for Predicting Wear Performance in Graphene Oxide Particulate Interpenetrating Polymer Network Composites 

  Russel, Eastus; Madhu, S.; S., Judy; Varuvel, Edwin Geo; Santhi, G.B.; Suresh, G.; J.S, Femilda Josephin; Albeshr, Mohammed F.; Kiani, Farzad (Elsevier, 2025)

  This research investigates the wear behavior of hybrid polymeric composites made from synthetic glass and natural cotton fibers, reinforced with varying proportions of Graphene Oxide (GO) (0 %, 1 %, 3 %, 5 %, 7 %, 9 %). ...

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