Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

Permanent URI for this collectionhttps://hdl.handle.net/11147/7148

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  • Article
    Whitham–Broer–Kaup Systems in Multi-Dimensions: Quantum and Resonant NLS Connections
    (World Scientific Publ Co Pte Ltd, 2025) Pashaev, Oktay K.; Rogers, Colin
    An overview is presented of quantum and resonant nonlinear Schro<spacing diaeresis>dinger equation links to Whitham-Broer-Kaup type systems. A novel n + 1 dimensional extension of the Whitham-Broer-Kaup hydrodynamic system is constructed with connection to an equivalent multi-dimensional resonant NLS equation. Hybrid Ermakov-Painleve II and associated Painleve XXXIV integrable similarity reductions are derived.
  • Article
    Vision-Language Model Approach for Few-Shot Learning of Attention Deficit Hyperactivity Disorder Using EEG Connectivity-Based Featured Images
    (IOP Publishing Ltd, 2025) Catal, Mehmet Sergen; Gumus, Abdurrahman; Karabiber Cura, Ozlem; Aydin, Ocan; Zubeyir Unlu, Mehmet
    Traditional medical diagnosis approaches have predominantly relied on single-modality analysis, limiting clinicians to interpreting isolated data streams such as images or time series. The integration of vision language models (VLMs) into neurophysiological analysis represents a paradigm shift toward multimodal diagnostic frameworks, enabling clinicians to interact with diagnosis models through diverse modalities including text, audio, visual inputs, etc. This multimodal interaction capability extends beyond conventional label-based classification, offering clinicians flexibility in diagnostic reasoning and decision-making processes. Building on this foundation, this study explores the application of VLMs to electroencephalography (EEG)-based attention deficit hyperactivity disorder (ADHD) classification, addressing a gap in neurophysiological diagnostics. The proposed framework applies VLM-based few-shot ADHD classification by converting raw EEG data into EEG connectivity-based featured images compatible with contrastive language-image pre-training's (CLIP) image encoder. The adaptor-based CLIP approach (Tip-Adapter and Tip-Adapter-F) for few-shot learning improves CLIP's zero-shot classification performance, achieving 78.73% accuracy with 1-shot and 98.30% accuracy with 128-shot using the RN50x16 backbone. Experiments investigate prompt engineering effects, backbone architectures of CLIP, patient-based classification, and combinations of EEG connectivity features. Comparative analysis is performed with two datasets to evaluate the approach between different data sources. Through the adaptation of pre-trained VLMs to neurophysiological data, this technique demonstrates the potential for multimodal diagnostic frameworks that enable flexible clinician-model interactions beyond conventional label-based classification systems. The approach achieves effective ADHD classification with minimal training data while establishing foundations for applying VLMs in clinical neuroscience, where diverse modality interactions through text, visual, and audio inputs can enhance diagnostic workflows. The code is publicly available on GitHub to facilitate further research in the field: https://github.com/miralab-ai/vlm-few-shot-eeg.
  • Article
    Characterization and Energetic Property Evaluation of Novel Energetic Salts and Co-Crystals Formed with Nitropyrazoles and Pyridines
    (Amer Chemical Soc, 2025) Atceken, Nurunnisa; Bauer, Kaylyn M.; Nichol, Gary S.; Morrison, Carole A.; Pulham, Colin R.
    Nitropyrazoles are promising candidates to replace conventional explosives as they generally have positive heats of formation, good thermal stabilities, low friction and impact sensitivities and high energetic performance. In this study, 3,5-dinitropyrazole (DNP) and 3,4,5-trinitropyrazole (TNP) were combined with a series of pyridine derivatives to create nine new multicomponent crystals. Single-crystal X-ray diffraction shows that the herringbone-type packing observed in both DNP and TNP can be significantly altered to form puckered, wave-like and layered packing motifs. Differential scanning calorimetry and thermogravimetric analysis measurements show significant alteration in the thermal properties of the new materials, suggesting that the processing and energetic properties of DNP and TNP can be efficiently tuned through multicomponent crystallization. Preliminary impact sensitivity measurements performed on some of the materials also suggest that the mechanochemical responses of DNP and TNP can be altered through changing the crystal packing motifs. Overall, this study highlights the important role that multicomponent crystallization can play in tuning the structure/materials property relationships in energetic materials research.
  • Article
    A Comprehensive Database and a New Model for the Axial Response of Heat-Damaged Concrete Before and After FRP Confinement
    (Springer, 2025) Akdag, Nefise; Demir, Ugur
    In this study, a total of 330 concrete specimens, compiled from existing experimental data, are systematically reviewed to assess their post-fire axial stress-strain behavior before and after circumferential confinement with fiber-reinforced polymers (FRPs). The selection criteria for the database are as follows: (i) studies had to be published in English, (ii) both lateral and axial ultimate strains must have been measured, (iii) the use of additional strengthening materials in combination with FRPs was excluded, (iv) only plain concrete specimens were considered, and (v) specimen dimensions and instrumentation details had to be explicitly reported. The dataset is structured to include heating/cooling and curing conditions, specimen properties, and FRP characteristics. Subsequently, the predictive accuracy of available models for post-fire axial strength and ultimate strain of concrete members, both before and after FRP confinement, is evaluated. The results based on the reviewed comprehensive database indicate that these models are inadequate in capturing the observed behavior in the experiments. As such, a new analytical model is developed based on the compiled dataset. The proposed model demonstrated reliable predictive performance in terms of post-fire axial response of concrete before and after FRP confinement while remaining user-friendly for practical engineering applications. This is done such that universal design guidelines on the behavior of heat-damaged concrete strengthened by FRP composites can be reliably formulated.
  • Article
    Optimization of Extraction for Antioxidant and Photoprotective Bioactive Compounds From Ulva Rigida
    (Elsevier, 2025) Toy, Elif; Bicakci, Beyza Tutku; Erdem, Cansu; Sincar, Bahar; Ozdemir, Feyza; Keskin, Melike; Bayraktar, Oguz
    This study presents the development and optimization of a green extraction bioprocess for Ulva rigida, aiming to efficiently recover bioactive compounds with antioxidant and photoprotective properties using response surface methodology (RSM). A Box-Behnken design evaluated the combined effects of ethanol concentration (0-100 %), solid-to-liquid ratio (20-40 mL g-1), and extraction time (8-24 h) on extraction yield, antioxidant capacity, and sun protection factor (SPF). All variables significantly impacted extract quality, with ethanol concentration being the most influential. Optimal conditions (100 % ethanol, 1:20 ratio, 16 h) yielded an extract with SPF 11.61 and antioxidant activity of 16.91 mg Trolox/g. Preparative thin-layer chromatography (TLC) of the optimized extract produced three bioactive fractions exhibiting up to 2.3-fold higher SPF and 5-fold greater antioxidant activity. Liquid chromatography-mass spectrometry (LC-MS) analysis confirmed selective enrichment of carotenoids and polyphenols. These findings demonstrate the value of statistically optimized, bioactivity-guided extraction in enhancing Ulva-derived ingredients for cosmeceutical use.
  • Editorial
    Editorial on: 22nd International Symposium on Boron, Borides and Related Materials (ISBB 2024)
    (Elsevier, 2025) Balci-Cagiran, Ozge; Yucel, Onuralp; Somer, Mehmet
  • Article
    Nanoencapsulation of Hydroxytyrosol Extract of Fermented Olive Leaf Brine Using Proniosomes
    (Wiley, 2025) Kadiroglu, Pinar; Kilincli, Betul; Ilgaz, Ceren; Bayindir, Zerrin Sezgin; Kelebek, Hasim; Helvacioglu, Selin; Ozhan, Gunes
    BACKGROUND: Olive leaves are rich in bioactive compounds with potential health benefits; however, their limited bioavailability and stability hinder their effective utilization. Emerging technologies, nanocarrier-based delivery systems, have shown promise in enhancing these properties. RESULTS: The optimal conditions for proniosome formulation were 50 rpm rotational speed and 35 degrees C, achieving 81.20 +/- 0.80% encapsulation efficiency. Particle sizes ranged from 188.6 to 248.9 nm, with a zeta potential of similar to-30 mV, indicating high stability and resistance to aggregation. Advanced instrumental analysis confirmed interactions between the extract and proniosome components. After 30 days at 4 degrees C, extract-loaded proniosomes maintained better homogeneity and lower polydispersity index. Cytotoxicity studies showed that both the extract and its proniosomal form were nontoxic to HEK293T cells up to 200 mu g mL(-1). In zebrafish assays, minimal larval mortality was observed up to 3200 mu g mL(-1) for the extract, while no mortality occurred up to 1600 mu g mL(-1) for the proniosomal extract, highlighting its improved safety profile. CONCLUSION: The findings from this research could contribute to the advancement of sustainable and health-promoting food innovations by integrating cutting-edge nanotechnology-driven encapsulation strategies into plant-based food formulations. (c) 2025 Society of Chemical Industry.
  • Article
    The Johnson and Cook Damage and Flow Stress Model Parameters of a Rolled Stainless Steel 304 Alloy
    (Elsevier, 2026) Akdogan, Ibrahim Berk; Davut, Kemal; Gueden, Mustafa; Erten, Hacer Irem; Tasdemirci, Alper; Maleki, Farshid Khosravi; Gok, Mustafa Sabri
    Previous studies on stainless steel 304 alloy (SS 304) have mostly focused on the stress-strain behavior as function of the volume fraction of deformation induced martensite and the applied strain and strain rate. Although equally important, the failure/fracture of this alloy has not been thoroughly investigated so far. In the present study, the Johnson and Cook (JC) damage model parameters of a rolled-SS 304 alloy, valid at a high strain rate (2900 s-1), were experimentally determined and numerically validated along with the JC flow stress parameters. The tensile failure strain of the alloy decreased as the strain rate increased from 10-3 to 10-1 s-1 and to 2900 s-1. Experimentally lower flow stresses at 2900 s-1 than at 1x10-3 s-1 were also found at the strains above 0.2, which was attributed to the adiabatic heating that declined the extend of the martensitic transformation at increasing strains. The determined damage and flow stress model parameters were further calibrated with the results of the numerical models of the quasi-static and high strain rate tension tests. Microscopic analyses and the hardness measurements on the untested and tested specimens confirmed the martensitic transformation and the highest hardness values were found in the specimens tested at 1x10-3 s-1. The martensite volume fraction as function strain rate until about necking strain (homogeneous deformation) was calculated and also microscopically determined using the electron back-scatter diffraction (EBSD) for the specimens tested at different strain rates. The results indicated the highest martensite volume fraction in the specimens tested at 10-3 s-1 (0.55-0.6) and the lowest in the specimens tested at the high strain rate (0.27-0.30). An agreement between the calculated and the EBSD determined martensite volume fractions was shown for the studied alloy.
  • Article
    Citation - WoS: 4
    Citation - Scopus: 2
    CFD-DEM Investigation of the Effects of Particle Size and Fluidization Regime on Heat Transfer in Fluidized Beds
    (Springer int Publ Ag, 2025) Alipoor, Mahdi; Kazemi, Saman; Zarghami, Reza; Mostoufi, Navid
    This paper presents an in-depth study of heat transfer in fluidized beds, employing the CFD-DEM technique. The primary focus is to examine the impacts of inlet gas velocity, fluidization regime, and particle size on the thermal behavior of fluidized beds. The results revealed that thermal convection predominantly governs heat transfer in fluidized beds, accounting for the largest fraction of the overall heat transfer process. Particle-fluid-particle thermal conduction was found to contribute approximately 10-20% of the heat transfer, whereas particle-particle conduction exhibits a minor role. Upon increasing the inlet gas velocity, the convection rate intensifies, whereas the particle-fluid-particle conduction rate decreases. Furthermore, the study highlights the differences in temperature distribution between turbulent and bubbling fluidized beds. Turbulent bed demonstrated a more uniform and homogenous particle temperature compared to bubbling. At similar fluidization numbers in bubbling beds, increasing particle diameter enhances thermal convection while reducing particle-fluid-particle conduction. In contrast, the turbulent regime shows minimal differences in heat transfer mechanisms when particle size varies. Additionally, smaller particles are found to significantly improve temperature uniformity in fluidized beds. A comprehensive comparison of simulation results with experimental data validates the accuracy of the employed model, reinforcing its ability to predict heat transfer in fluidized beds reliably. This research provides valuable insights into the complex interplay of various mechanisms of heat transfer within fluidized beds, enabling engineers and researchers to optimize bed performance and enhance temperature control in various industrial applications.
  • Article
    Citation - WoS: 2
    Citation - Scopus: 2
    Charting the Landscape of Design Cognition: Bridging the Gap Between Design Cognition and Cognitive Science
    (Taylor & Francis Ltd, 2025) Ata, F. Zeynep; Dogan, Fehmi
    This study examines the trajectory of cognitive studies on design processes (DesCog), charting its scientific landscape and interactions with cognitive science (CogSci). First, the study delineates the boundaries of DesCog within all published scholarly works. The analysis indicates that DesCog is a focused field with lesser impact on other fields, showing divergent bibliographic positions and connections for 'design cognition' and 'design thinking'. Second, the longitudinal evolution of DesCog is identified as gradually becoming more diverse and more connected. Third, DesCog's foundational connections to CogSci demonstrate that the relationship is spontaneous rather than following 'generalising interdisciplinarity' aims. The analysis indicates a unidirectional flow from CogSci to DesCog, with occasional reciprocal interactions. The volume and diversity of CogSci literature cited by DesCog appear narrow, and most cited publications are based on the information-processing theory of cognition. Fourth, the study identifies common themes at the intersection of two fields, demonstrating that creativity has been a focal theme for both since earlier studies. Finally, the individual impact of CogSci researchers on DesCog highlights the significance of Simon and Newell's influence. The study contributes to reflections on DesCog's knowledge production, underlining unidirectional knowledge flows from CogSci to DesCog and partial theoretical connections within the field.