Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
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Conference Object Redundancy resolution options for the twin-it-romans robotic hybrid manufacturing system(Springer Science and Business Media B.V., 2025) Gündüz, G.M.; Dede, Mehmet İsmet Can; Kiper, Gökhan; Schmitz, M.; Corves, B.The Twinnig Iztech in Robotics Manufacturing System (TWIN-IT-ROMANS) project funded by EU Horizon -Widera-2023-Access-02-01 aims to develop a hybrid manufacturing system that can perform additive and subtractive manufacturing processes and inline quality control using a robotic system. The system will incorporate a 6-degree-of-freedom robot arm and a positioner with 2-degree-of-freedom, which will operate synchronously. This manipulation system is to be designed for performing different manufacturing operations with different degrees-of-freedom requirements. In order to reveal alternative trajectory planning scenarios for this system, this paper presents an initial review of redundancy resolution approaches for kinematically redundant robotic manipulators. First, the four main approaches for redundancy resolution techniques are introduced. Then main studies on energy minimization and stiffness maximization for kinematically redundant robotic manipulators are reviewed. Similar or new approaches are planned to be generated and implemented for the redundant system for hybrid manufacturing. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.Article Citation - WoS: 15Search for Supersymmetry in pp Collisions at √s=7 TeV in Events With a Single Lepton, Jets, and Missing Transverse Momentum(Springer, 2013) Chatrchyan, S.; Khachatryan, V.; Sirunyan, A. M.; Tumasyan, A.; Adam, W.; Aguilo, E.; Swanson, J.Results are reported from a search for new physics processes in events containing a single isolated high-transverse-momentum lepton (electron or muon), energetic jets, and large missing transverse momentum. The analysis is based on a 4.98 fb(-1) sample of proton-proton collisions at a center-of-mass energy of 7 TeV, obtained with the CMS detector at the LHC. Three separate background estimation methods, each relying primarily on control samples in the data, are applied to a range of signal regions, providing complementary approaches for estimating the background yields. The observed yields are consistent with the predicted standard model backgrounds. The results are interpreted in terms of limits on the parameter space for the constrained minimal supersymmetric extension of the standard model, as well as on cross sections for simplified models, which provide a generic description of the production and decay of new particles in specific, topology based final states.Article Role of Long Non-Coding RNA X-Inactive Transcript (XIST) in Neuroinflammation and Myelination: Insights From Cerebral Organoids and Implications for Multiple Sclerosis(MDPI, 2025) Pepe, Nihan Aktas; Acar, Busra; Zararsiz, Gozde Erturk; Guner, Serife Ayaz; Sen, AlaattinBackground/Objectives: X-inactive-specific transcript (XIST) is a factor that plays a role in neuroinflammation. This study investigated the role of XIST in neuronal development, neuroinflammation, myelination, and therapeutic responses within cerebral organoids in the context of Multiple Sclerosis (MS) pathogenesis. Methods: Human cerebral organoids with oligodendrocytes were produced from XIST-silenced H9 cells, and the mature organoids were subsequently treated with either FTY720 or DMF. Gene expression related to inflammation and myelination was subsequently analyzed via qRT-PCR. Immunofluorescence staining was used to assess the expression of proteins related to inflammation, myelination, and neuronal differentiation. Alpha-synuclein protein levels were also checked via ELISA. Finally, transcriptome analysis was conducted on the organoid samples. Results: XIST-silenced organoids presented a 2-fold increase in the expression of neuronal stem cells, excitatory neurons, microglia, and mature oligodendrocyte markers. In addition, XIST silencing increased IL-10 mRNA expression by 2-fold and MBP and PLP1 expression by 2.3- and 0.6-fold, respectively. Although XIST silencing tripled IBA1 protein expression, it did not affect organoid MBP expression. FTY720, but not DMF, distinguished MBP and IBA1 expression in XIST-silenced organoids. Furthermore, XIST silencing reduced the concentration of alpha-synuclein from 300 to 100 pg/mL, confirming its anti-inflammatory role. Transcriptomic and gene enrichment analyses revealed that the differentially expressed genes are involved in neural development and immune processes, suggesting the role of XIST in neuroinflammation. The silencing of XIST modified the expression of genes associated with inflammation, myelination, and neuronal growth in cerebral organoids, indicating a potential involvement in the pathogenesis of MS. Conclusions: XIST may contribute to the MS pathogenesis as well as neuroinflammatory diseases such as and Alzheimer's and Parkinson's diseases and may be a promising therapeutic target.Article Plasma Proteomic Markers of Interleukin-1β Pathway Associated With Incident Age-Related Macular Degeneration in Persons With Aids(Elsevier, 2025) Hunt, Peter W.; Olshen, Adam B.; Murad, Natalia; Ambayec, Gabrielle C.; Sezgin, Efe; Schneider, Michael F.; Jabs, Douglas A.Objective To evaluate the associations of plasma inflammatory proteins with age-related macular degeneration (AMD) in persons with the AIDS, using a discovery-based proteomics approach. Design A nested case-control study (analysis 1) and nested cohort study (analysis 2). Participants Persons with AIDS enrolled in the Longitudinal Study of the Ocular Complications with AIDS (LSOCA). Methods Cryopreserved plasma specimens obtained at baseline were assayed for inflammatory proteins using the Olink Inflammation Explore Panel 1. In analysis 1, baseline proteomic profiles for 26 persons with AIDS and incident intermediate-stage AMD 5 to 10 years after baseline and 49 matched controls (matched for age, biologic sex, race/ethnicity, and follow-up) without AMD were compared. In analysis 2, 475 persons from LSOCA with baseline plasma inflammatory proteomic profile measurements were followed for incident cataract and mortality. Main Outcome Measures Incident intermediate-stage AMD; incident cataract; and mortality. Results Of 365 measurable plasma inflammatory proteins, 118 (32%) were associated with incident intermediate-stage AMD at the false discovery rate-adjusted Q < 0.05 level after adjustment for smoking, CD4+ T count, and plasma human immunodeficiency virus RNA level. Gene ontology pathway enrichment analysis identified the interleukin (IL)-1 beta pathway and wound healing pathways, including tissue inhibitor of metalloproteinase 3, as significantly associated with incident AMD. These associations were qualitatively different from those associated with incident cataracts, where elevated levels of inflammatory proteins were associated with a decreased risk of cataracts. A much broader number of inflammatory pathways, including those related to the adaptive immune system, were associated with mortality. Conclusions Upregulation of the IL-1 beta pathway appears to be associated with an increased risk of incident AMD in persons with AIDS. Given the availability of inhibitors of this pathway, inhibition of the IL-1 beta pathway may provide a therapeutic avenue for treatment of AMD. Financial Disclosure(s) Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article. Ophthalmology Science 2025;5:100794 (c) 2025 by the American Academy of Ophthalmology. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).Article Citation - WoS: 8Citation - Scopus: 8A Review of the Experimental and Numerical Studies on the Compression Behavior of the Additively Produced Metallic Lattice Structures at High and Low Strain Rates(KeAi Communications Co., 2025) Bin Riaz, Muhammad Arslan; Guden, MustafaRecent advances in additive manufacturing have enabled the construction of metallic lattice structures with tailored mechanical and functional properties. One potential application of metallic lattice structures is in the impact load mitigation where an external kinetic energy is absorbed by the deformation/ crushing of lattice cells. This has motivated a growing number of experimental and numerical studies, recently, on the crushing behavior of additively produced lattice structures. The present study overviews the dynamic and quasi-static crushing behavior of additively produced Ti64, 316L, and AlSiMg alloy lattice structures. The first part of the study summarizes the main features of two most commonly used additive processing techniques for lattice structures, namely selective-laser-melt (SLM) and electrobeam-melt (EBM), along with a description of commonly observed process induced defects. In the second part, the deformation and strain rate sensitivities of the selected alloy lattices are outlined together with the most widely used dynamic test methods, followed by a part on the observed microstructures of the SLM and EBM-processed Ti64, 316L and AlSiMg alloys. Finally, the experimental and numerical studies on the quasi-static and dynamic compression behavior of the additively processed Ti6 4, 316L, and AlSiMg alloy lattices are reviewed. The results of the experimental and numerical studies of the dynamic properties of various types of lattices, including graded, non-uniform strut size, hollow, non-uniform cell size, and bio-inspired, were tabulated together with the used dynamic testing methods. The dynamic tests have been noted to be mostly conducted in compression Split Hopkinson Pressure Bar (SHPB) or Taylor-and direct-impact tests using the SHPB set-up, in all of which relatively small-size test specimens were tested. The test specimen size effect on the compression behavior of the lattices was further emphasized. It has also been shown that the lattices of Ti6 4 and AlSiMg alloys are relatively brittle as compared with the lattices of 316L alloy. Finally, the challenges associated with modelling lattice structures were explained and the micro tension tests and multi-scale modeling techniques combining microstructural characteristics with macroscopic lattice dynamics were recommended to improve the accuracy of the numerical simulations of the dynamic compression deformations of metallic lattice structures. (c) 2025 China Ordnance Society. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/ licenses/by-nc-nd/4.0/).Article Citation - WoS: 6Citation - Scopus: 7Physics-Based Machine Learning for Modeling of Laminated Composite Plates Based on Refined Zigzag Theory(Springer, 2025) Ermis, Merve; Dorduncu, Mehmet; Aydogan, GokayPhysics-based machine learning techniques have recently gained prominence for their ability to model complex material and structural behavior, particularly in laminated composite structures. This study introduces an innovative approach, being the first to employ physics-informed neural networks (PINNs) in conjunction with refined zigzag theory (RZT) for the stress analysis of laminated composite plates. A multi-objective loss function integrates governing partial differential equations (PDEs) and boundary conditions, embedding physical principles into the analysis. Using multiple fully connected artificial neural networks, called feedforward deep neural networks, tailored to handle PDEs, PINNs are trained using automatic differentiation. This training process minimizes a loss function that incorporates the PDEs governing the underlying physical laws. RZT, particularly suitable for the stress analysis of thick and moderately thick plates, simplifies the formulation by using only seven kinematic variables, eliminating the need for shear correction factors. The capability of the proposed method is validated through several benchmark cases in stress analysis, including 3D elasticity solutions, analytical solutions, and experimental results from a three-point bending test based on displacement measurements reported in the literature. These results show consistent agreement with the referenced solutions, confirming the accuracy and reliability of the proposed method. Comprehensive evaluations are conducted to examine the effects of softcore presence, elastic foundation, various lamination schemes, and differing loading and boundary conditions on the stress distribution in laminated plates.Article Citation - WoS: 1Citation - Scopus: 1Adaptive Reuse of Industrial Heritage in Crises Zones: the Soap Factories in the Levant(Taylor & Francis Ltd, 2025) Saifi, Yara; Zawawi, Zahraa; Yuceer, HulyaThis paper articulates critical considerations for policies related to the adaptive reuse of industrial heritage, particularly in contexts affected by crises, such as conflicts, wars, and natural disasters using the soap factories of the Levant as a case study. It critically investigates the role of adaptive reuse in conserving industrial heritage buildings impacted by crises. The Levant provides a unique context for examining the intersection of cultural heritage and resilience; soap factories, reflective of the region's olive-oil-rich history and industrial legacy dating back to the 18th century, symbolise the conservation challenges and opportunities posed by ongoing regional conflict. The study systematically analyses existing literature on adaptive reuse and questions conventional paradigms in crisis environments, particularly the suitability of standard transformations such as converting industrial heritage into museums or exhibition spaces. Instead, it aims to broaden the dialogue on adaptive reuse by offering context-sensitive policy recommendations. These strategies balance the imperatives of heritage conservation, sustainable development, and contemporary community demands, contributing to a nuanced understanding of industrial heritage preservation in crisis-affected regions.Article Ggnn: Group-Guided Nearest Neighbors for Efficient Image Matching(Springer, 2025) Cine, Ersin; Bastanlar, Yalin; Ozuysal, MustafaThe widely adopted image matching approach remains dependent on exhaustive matching of local features across images. Existing methods aiming to improve efficiency either approximate nearest neighbor (NN) search, compromising accuracy, or apply filtering only after establishing tentative matches, which restricts potential efficiency gains. We challenge the assumption that exhaustive NN search is necessary by proposing a more efficient hierarchical approach that maintains matching accuracy without relying on full-scale NN search. Our key insight is that efficiently identifying sufficiently similar, geometrically meaningful feature matches-rather than the most similar but geometrically random ones-can improve or maintain performance at a lower computational cost. We propose a novel method, Group-Guided Nearest Neighbors (GGNN), which matches groups of features first and then matches individual features only within these matched groups. This hierarchical pipeline reduces the computational complexity of feature matching from \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\theta (n<^>2)$$\end{document} to \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\theta (n \sqrt{n})$$\end{document}, significantly improving efficiency. Experimental results on homography estimation demonstrate that GGNN outperforms standard NN search while achieving performance comparable to state-of-the-art methods. Additionally, we formulate GGNN as a general framework, where conventional NN search is a special case with a single global feature group. This formulation provides a continuum of feature matching methods with varying computational costs, enabling automatic selection based on a given time budget.Article Citation - WoS: 2Citation - Scopus: 1Cross-Linked Carboxymethyl Cellulose Biosorbent for Zinc Removal: a Sustainable Remediation of Heavy Metal-Polluted Waters(Springer Heidelberg, 2025) Celgan, Dilber; Karadag, Asiye; Karim, Barna Jalaluddin Mohammad; Recepoglu, Yasar Kemal; Arar, OzgurThis study focuses on the preparation and characterization of cross-linked carboxymethyl cellulose (CMC) biosorbent for efficient removal of Zn2(+) ions from aqueous solutions. The microstructural features of the biosorbent were examined using scanning electron microscopy (SEM), while elemental analysis was conducted using an elemental analyzer to determine carbon (C), hydrogen (H), nitrogen (N), and sulfur (S) content. Fourier transform infrared (FTIR) spectroscopy was employed to identify functional groups within the biosorbent. Sorption experiments revealed that increasing the biosorbent dose led to higher Zn2(+) removal rates until equilibrium was reached. The optimal pH for Zn2(+) removal was determined to be >= 5, attributed to the conversion of acetate group to its ionic form. Rapid kinetics were observed, with 99% removal achieved within 5 min. The biosorbent exhibited a maximum sorption capacity of 10.809 mg/g and a removal rate of 99% at pH 5. Desorption studies demonstrated efficient Zn2(+) recovery using 0.25 M HCl solution, with a total desorption rate exceeding 99%. The findings indicate the potential for cost-effective regeneration of the biosorbent using dilute acid solutions, enhancing its sustainability and practical applicability in water purification processes. Additionally, the biosorbent's selectivity for Zn2(+) ions over competing ions and its effectiveness in treating real water samples, including those containing Na+, K+, Ca2(+), and Mg2(+), highlight its suitability for practical water purification applications.Article Digital Transformation in Leather Color Fastness Evaluation: Computer-Assisted Grey Scale Analysis(Korean Fiber Soc, 2025) Efendioglu, Nilay Ork; Mutlu, Mehmet Mete; Inan, Emrah; Ozgunay, HasanLeather is a critical material in the fashion industry, where it is required to meet specific customer demands for color, specifications, and performance, especially regarding color fastness. Traditional methods for assessing color fastness rely on subjective evaluations conducted by professional experts using grey scale standards. However, human evaluation can be inconsistent due to various factors, such as lighting conditions and individual perception. In this study, leather samples were first subjected to expert evaluations and scored using the grey scale system. These evaluations were then compared with color measurement data obtained through a spectrophotometer, which was processed using custom-designed software (written in the Python programming language). This software provided precise grey scale values based on the color measurements, enabling accurate digital assessments. The results of the comparative analysis showed that the computer-assisted grey scale assessment could be completed in a significantly shorter time frame with a minimal margin of error, offering a more reliable and efficient alternative to traditional evaluation methods. This approach not only enhances the accuracy of color assessments but also streamlines the evaluation process in the leather industry.