WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
Permanent URI for this collectionhttps://hdl.handle.net/11147/7150
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Conference Object Applicability of Sound Criteria to Patients Undergoing Mastectomy(Springer, 2025) Ardila, Sara; Lupinacci, Kristin; Bayley, Erin; Cowher, Michael; Sabih, Quratulain; Steiman, Jennifer; Soran, AtillaArticle Citation - WoS: 8The Effects of Halofuginone on Wound Healing in the Rat Nasal Mucosa(Sage Publications Inc, 2020) Ceylan, Seyit Mehmet; Uysal, Erdal; Sokucu, Mehmet; Sezgin, Efe; Kanmaz, Mahmut Alper; Yurtseven, Duygu Gok; Bilal, NagihanBackground Halofuginone is an alkaloid febrifugine analogue and bioactive molecule that was isolated incidentally from the Dichroa febrifuga plant. The therapeutic efficacy of halofuginone in parasitic infections, scleroderma, inflammation, and fibrosis-related diseases, as well as in some types of cancer, has been previously reported. The effects of halofuginone on nasal mucosal damage are not yet known. Objective The aim of this study was to investigate the potential effect of topically applied halofuginone on wound healing in the mechanically injured nasal mucosa of rats. Methods A unilateral mucosal wound was created in the nasal cavity of 32 rats (aged 4 weeks) using the brushing technique. These rats were randomly divided into 4 groups. Although the control group did not receive an intervention, a dry pad, a saline-impregnated pad, or a pad impregnated with halofuginone were placed in the rats of the other 3 groups and left for 5 minutes. Rats were sacrificed on the 14th day, and a histological examination was performed. The nasal mucosa was assessed via hematoxylin-eosin and Masson's trichrome staining. Results There were no statistically significant differences in epithelial thickness, inflammation, goblet cell formation, and epithelial disarray values between the halofuginone group and the control group (P > .05). The subepithelial thickness was significantly decreased in the saline-treated group and the halofuginone-treated group (P < .05), but a significantly lower level of subepithelial fibrosis was only observed in the halofuginone group compared to the other groups (P < .05). Conclusions Topical halofuginone administration reduces the development of fibrosis and subepithelial edema after experimentally induced nasal mucosal injury, but it does not exert therapeutic or preventive effects on epithelial damage, inflammation, and goblet cell hyperplasia.Article Whitham–Broer–Kaup Systems in Multi-Dimensions: Quantum and Resonant NLS Connections(World Scientific Publ Co Pte Ltd, 2025) Pashaev, Oktay K.; Rogers, ColinAn 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 A Fiber-Driven Finite Element Model for Predicting Residual Limb Soft Tissue Deformation: Applications in Prosthetic Socket Design(Springer, 2025) Wang, Ling; Qiu, Ziyan; Tang, Lei; Huang, Fuhao; Wei, Pingping; Mihcin, Senay; Li, DichenPurposeChanges in residual limb volume and shape pose significant challenges in achieving and maintaining an accurate and comfortable fit for prosthetic socket. While numerous techniques for measuring residual limb volume have been proposed, their clinical application remains limited by insufficient resolution and the inability to perform in-socket measurements. To address this issue, this study develops a novel method for predicting residual limb soft tissue deformation to guide prosthetic socket design.MethodsA three-dimensional (3D) finite element (FE) model of the human thigh was developed to simulate the soft tissue deformation during daily activities, driven by muscle contraction to replicate natural biomechanics. The model included hard tissue and muscle components, with the muscle modeled as a structure of evenly distributed, contractile fibers that generate movement. Parameters controlling fiber contraction were iteratively adjusted to best match the calculated tissue deformation and that observed in physical muscle models.ResultsThe optimized FE model significantly improved the accuracy of predicting dynamic soft tissue deformation, with average errors of 0.83% and 1.86% for tissue expansion and contraction regions, respectively. For various gait patterns, the average differences in equivalent volume and cross-sectional area changes were also less than 0.83% and 1.86%, respectively.ConclusionThe model demonstrated consistent prediction accuracy across different gait data. The fiber-driven soft tissue model developed offers a valuable tool for pre-design simulations of prosthetic sockets and orthoses. It is equally applicable to other wearable devices that interface with the skin, providing a robust framework for improving device design and functionality.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, MehmetTraditional 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, UgurIn 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, OguzThis 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, MehmetArticle 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, GunesBACKGROUND: 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.