WoS İndeksli Yayınlar Koleksiyonu
Bu koleksiyon için kalıcı URI
Güncel Gönderiler
Öğe Morphology, Crystallinity and Thermal Properties of Nanocrystalline Cellulose Isolated of Sisal Fiber by Acid Hydrolysis-Ultrasonication(Unimap Press, 2024) Yudhanto, Ferriawan; Yudha, Venditias; Jamir, Mohd Ridzuan Mohd; Suyambulingam, Indran; Terzioglu, Pinar; SudarismanNanocrystalline cellulose (NCC) from natural Agave sisalana (Sisal) fibers were isolated using a combination of chemical and mechanical processes. The chemical treatment begins with soaking the fiber in a sodium hydroxide (NaOH) solution with a concentration of 5 wt.% at a temperature of 90(degrees)C for 60 minutes. Then following by bleaching (fiber refining) using a hydrogen peroxide solution (H2O2) with a concentration of 3 wt.% (weight), at a temperature of 60(degrees)C, and pH of 10 for 30 minutes. It aims to eliminate the presence of hemicellulose and lignin contained in the fiber. Fibrillation Micro into nano Sisal fibers using sulfuric acid (hydrolysis process). Sulfuric acid (H2SO4) with 55 wt.% at temperature 60(degrees)C for 30 minutes produced NCC with a diameter of 5 +/- 1 nm (D) and a length of 260 +/- 10 nm (L), as seen using a TEM (transmission electron microscope). The web -like network structured shape of NCC results in a high aspect ratio (L/D) value is 52. The acid hydrolysis-ultrasonication process produced a high crystallinity index of 78.82% through the XRD (x-ray diffraction) test. The crystallinity and aspect ratio of NCC show that Sisal fiber is a suitable material as a filler for bio-nanocomposite materials. The maximum temperature (T-max) of NCC decreased by 10(degrees)C due to sulfate ions attached to the cellulose structure, causing the thermal stability to drop from 348(degrees)C to 338(degrees)C.Öğe Evaluation and Implementation of EMI/EMC Compliance for a Proposed Power Electronics- Based Converter Topology for Electric Vehicles(Kaunas Univ Technology, 2024) Tekin, Hakan; Vatansever, Seyit; Ertekin, DavutThe demand for high-gain, efficient, and costeffective power converters with simple control mechanisms to connect electric vehicle batteries to the grid is increasing. This study introduces a switched capacitor-based power boost converter circuit to meet these needs. The minimal number of power switches in the circuit simplifies control operations and improves practical applicability. The proposed converter boosts the battery pack voltage by a factor of 5 and 11 for duty ratios of 0.5 and 0.8, respectively, which is significant compared to conventional boost converters. However, designing an electromagnetic interference (EMI) filter is crucial when a power converter board requires the application of a wide range of switching frequencies to enhance electromagnetic compatibility (EMC) immunity. Therefore, as the next step, the EMI/EMC filter design stages were discussed for the proposed converter. For this purpose, 15 printed circuit board (PCB) design rules were checked using the Altium Designer EMI Design Rule Checker, and board EMI/EMC compatibility was analysed. The resonance between the power and ground layers in the PCB was assessed using the plane resonance analyser. The results of simulation and laboratory tests are presented, which confirms the theoretical studies. On the basis of the software results, the points on the electronic board most susceptible to visual interferences have been identified. To minimise these EMI/EMC errors, it is suggested to add electronic components, such as capacitors, at these points according to mathematical and software findings.Öğe STRUCTURED LEVEL-2 CONDITION NUMBERS OF MATRIX FUNCTIONS(Int Linear Algebra Soc, 2024) Arslan, Bahar; Relton, Samuel D.; Schweitzer, MarcelMatrix functions play an increasingly important role in many areas of scientific computing and engineering disciplines. In such real-world applications, algorithms working in floating-point arithmetic are used for computing matrix functions and additionally input data might be unreliable, e.g., due to measurement errors. Therefore, it is crucial to understand the sensitivity of matrix functions to perturbations, which is measured by condition numbers. However, the condition number itself might not be computed exactly as well due to round-off and errors in the input. The sensitivity of the condition number is measured by the so-called level-2 condition number. For the usual (level-1) condition number, it is well known that structured condition numbers (i.e., where only perturbations are taken into account that preserve the structure of the input matrix) might be much smaller than unstructured ones, which, e.g., suggests that structure-preserving algorithms for matrix functions might yield much more accurate results than general-purpose algorithms. In this work, we present a novel upper bound on the structured level-2 condition number, focusing on perturbation matrices within an automorphism group, a Lie or Jordan algebra, or the space of quasi-triangular matrices. In numerical experiments, we then compare the unstructured level-2 condition number with the structured one for some specific matrix functions such as the matrix logarithm, matrix square root, and matrix exponential.Öğe Ensemble decision of local similarity indices on the biological network for disease related gene prediction(Peerj Inc, 2024) Cingiz, Mustafa ozgurLink prediction (LP) is a task for the identification fi cation of potential, missing and spurious links in complex networks. Protein-protein interaction (PPI) networks are important for understanding the underlying biological mechanisms of diseases. Many complex networks have been constructed using LP methods; however, there are a limited number of studies that focus on disease-related gene predictions and evaluate these genes using various evaluation criteria. The main objective of the study is to investigate the effect of a simple ensemble method in disease related gene predictions. Local similarity indices (LSIs) based disease related gene predictions were integrated by a simple ensemble decision method, simple majority voting (SMV), on the PPI network to detect accurate disease related genes. Human PPI network was utilized to discover potential disease related genes using four LSIs for the gene prediction. LSIs discovered potential links between disease related genes, which were obtained from OMIM database for gastric, colorectal, breast, prostate and lung cancers. LSIs based disease related genes were ranked due to their LSI scores in descending order for retrieving the top 10, 50 and 100 disease related genes. SMV integrated four LSIs based predictions to obtain SMV based the top 10, 50 and 100 disease related genes. The performance of LSIs based and SMV based genes were evaluated separately by employing overlap analyses, which were performed with GeneCard disease-gene relation dataset and Gene Ontology (GO) terms. The GO-terms were used for biological assessment for the inferred gene lists by LSIs and SMV on all cancer types. Adamic-Adar (AA), Resource Allocation Index (RAI), and SMV based gene lists are generally achieved good performance results on all cancers in both overlap analyses. SMV also outperformed on breast cancer data. The increment in the selection of the number of the top ranked disease related genes also enhanced the performance results of SMV.Öğe Nonlinear finite element study on the improvement of torsional strengthening of RC beams with diagonal shear reinforcement(Pontificia Univ Catolica Chile, Escuela Construccion Civil, 2024) Subasi, Rojda Orman; Caglar, Naci; Demirtas, Gamze; Ozturk, HakanExperimental and numerical studies are carried out by many researchers in order to examine the nonlinear behavior of reinforced concrete (RC) beams under the torsion moment and to improve the torsional moment capacity. In this study, a numerical study is performed to investigate efficiency of diagonal shear reinforcement (DSR) on the response of RC beams subjected to pure torsion. A nonlinear numerical model was constituted to simulate the response of the RC beams by using ABAQUS software program and verified with the selected experimental results from literature. The numerical analysis results proved that the nonlinear numerical model is quite successful in simulating the nonlinear behavior of RC beams and DSR makes a very significant contribution to the torsional moment capacity of the RC beam subjected to pure torsion.Öğe STATIC ANALYSIS OF SUSPENSION SYSTEMS WITH UNIFORMLY DISTRIBUTED VERTICAL LOAD(Bulgarian Acad Sciences, Inst Mechanics, 2025) Rudko, Ihor; Bakay, Borys; Akay, Abdullah Emin; Loveikin, Viatcheslav; Romasevych, Yuriyihor.rudko@nltu.edu.uaÖğe The Need for the Evaluation of Sport-Specific Skills in Paralympic Goalball with a 3-D Kinematic Analysis: Research Note(Sagamore Publishing Llc, 2024) Esatbeyoglu, Ferhat; Kirkaya, Izzet; Senaysoy, Safa; Bicici-Ulusahin, SedaGoalball is one of the Paralympic sport disciplines designed for athletes with visual impairments (VI), and athletes wear eyeshades while they perform the sport for a fair competition. The game is played with a ball with bells inside allowing its movement to be heard by the players and therefore sport -specific attack and defense foundations needs to be developed for this Paralympic sport discipline. Taking the VI into account, movement phases of attack and defense techniques may be improved by the coach with proper training programs and with this, athletic ability of the athlete with VI may be enhanced. This is especially significant for novice goalball athletes as mastering fundamental skills properly may lead to better performance on the court while minimizing the risk of injury. In contrast, there is a scarce literature on examining the kinematic analysis of Paralympic goalball sport. Limited studies carried out 2-D video observational analysis for goalball -throwing technique and in fact goalball-throwing technique is three dimensional. Moreover, studies conducted kinematic analysis only for throwing technique. For these reasons, 3-D kinematic analysis of throwing and defense techniques is essential. In addition, development of throwing and defense techniques with precise training methods requires taking into account of kinetic chain of body segments, functional movement must be considered and evaluated completely. From this point of view, functional training methods that can contribute defense performance can be recommended as there is no study evaluating the functional performance of goalball athletes. This also can contribute to development of goalball specific test protocols to evaluate foundational goalball skills and novel training approaches can be applied in order to develop physiological and motor skills of goalball sport.Öğe Behavior of moment-resistant frames after shear-axial failure of reinforced concrete column(Pontificia Univ Catolica Chile, Escuela Construccion Civil, 2025) Bicici, ErkanFailure or collapse of entire structure triggered by a local element level failure can be defined as progressive collapse. The degradation and loss on the capacity of an element leads new load path on the structure which creates new load carrying mechanism. The most common approach is sudden removal of the column and pushdown analysis. In this study, a new method is proposed to simulate progressive collapse of reinforced concrete structures. The proposed method includes the shear-axial interaction of reinforced concrete columns and consideration of axial shortening of columns due to lateral strength degradation. The proposed method may be applicable for the progressive collapse analysis of a concrete structure under earthquake. The proposed method is tested in 2D and 3D typical benchmark reinforced concrete frames. The behavior of the frames calculated by the proposed method are compared with the results obtained from pushdown analysis to validate the accuracy of the model. A good agreement is observed between the proposed method and pushdown analysis. The shear-axial interaction method sufficiently covers the behavior of frame analysis with sudden loss of a column. Thus, the proposed method simulates more realistic failure under cyclic loading such as earthquakes.Öğe The mediating role of social support in the relationship between schemas and distress tolerance(John Wiley & Sons Ltd, 2024) Cicek, Nuray Mustafaoglu; Kotan, Sumeyye Hamra[Abstract Not Available]Öğe Drivable path detection for a mobile robot with differential drive using a deep Learning based segmentation method for indoor navigation(Peerj Inc, 2024) Misir, OguzThe integration of artificial intelligence into the field of robotics enables robots to perform their tasks more meaningfully. In particular, deep-learning methods contribute significantly to robots becoming intelligent cybernetic systems. The effective use of deep-learning mobile cyber-physical systems has enabled mobile robots to become more intelligent. This effective use of deep learning can also help mobile robots determine a safe path. The drivable pathfinding problem involves a mobile robot finding the path to a target in a challenging environment with obstacles. In this paper, a semantic-segmentation-based drivable path detection method is presented for use in the indoor navigation of mobile robots. The proposed method uses a perspective transformation strategy based on transforming high-accuracy segmented images into real-world space. This transformation enables the motion space to be divided into grids, based on the image perceived in a real-world space. A grid-based RRT* navigation strategy was developed that uses images divided into grids to enable the mobile robot to avoid obstacles and meet the optimal path requirements. Smoothing was performed to improve the path planning of the grid-based RRT* and avoid unnecessary turning angles of the mobile robot. Thus, the mobile robot could reach the target in an optimum manner in the drivable area determined by segmentation. Deeplabv3+ and ResNet50 backbone architecture with superior segmentation ability are proposed for accurate determination of drivable path. Gaussian filter was used to reduce the noise caused by segmentation. In addition, multi-otsu thresholding was used to improve the masked images in multiple classes. The segmentation model and backbone architecture were compared in terms of their performance using different methods. DeepLabv3+ and ResNet50 backbone architectures outperformed the other compared methods by 0.21%-4.18% on many metrics. In addition, a mobile robot design is presented to test the proposed drivable path determination method. This design validates the proposed method by using different scenarios in an indoor environment.Öğe Aversive racism in Turkey: A study on perceptions toward acculturation strategies of Syrian refugees(John Wiley & Sons Ltd, 2024) Sumerkan, Nezir; Kusdil, M. Ersin[Abstract Not Available]Öğe Geometric abstract painting as a means to enhance creativity in architecture education(Adaya Press, 2025) Golabi, MaryamOne of the main objectives of architecture education is to foster students' creativity, problem-solving skills, and innovative thinking. This study examines the impact of integrating geometric abstract paintings into an elective course titled Colors and Textures for first-year architecture students, exploring its role in fostering creativity and analytical skills. Various geometric abstract paintings were given to students to analyze them and elucidate the principles and organizational concepts embedded in the compositions. Students were then asked to convert these two-dimensional compositions into three-dimensional models in accordance with established concepts. The finding highlights that engaging with abstract paintings enabled students to develop a deeper understanding of form and composition, facilitating students' comprehension of basic design principles, essential in both architecture and visual arts. The study underscores the effectiveness of this interdisciplinary approach in fostering students' conceptual thinking, critical analysis, and ultimately the architectural design process during the translation of two-dimensional compositions into three-dimensional models.Öğe Nonlinear finite element analysis of steel fiber reinforced concrete beams subjected to impact loads(Pontificia Univ Catolica Chile, Escuela Construccion Civil, 2024) Serdar, Ahmet Hamdi; Caglar, Naci; Demirtas, Gamze; Saribiyik, MehmetSteel fiber reinforced concrete, compared to the conventional concrete; is a composite building material that performs much better in terms of parameters such as ductility, energy absorption capacity, fracture toughness, fatigue resistance, and the use of steel fiber reinforced concrete (SFRC) in structures has become widespread. In this study, a nonlinear finite element model (FEM) has been developed that can represent the behavior of beams produced by using steel fiber concrete subjected to impact load. For this purpose, a finite element model of beam series produced with fiberreinforced concrete obtained from the literature was created. The ABAQUS package program was used to create models simulating the behavior. Numerical results showed that the model could successfully capture the experimental results of beams selected from the literature. In addition to simulation, a parametric study was also performed to investigate the effect of stirrups, reinforcement ratio, and drop height on the behavior of SFRC beams under impact loads. The results of the parametric study showed that increasing the fiber ratio and reinforcement ratio positively affected the behavior of SFRC beams in terms of displacement recovery.Öğe Experimental and Numerical Analysis of Sandwich Panels Made of Different Core Materials with Plywood Facing(Zagreb Univ, Fac Forestry, 2025) Guntekin, Ergun; Uysal, MesutSandwich panels composed of different core materials with plywood facings were analyzed using experimental and numerical methods. Particleboard (PB), fiberboard (MDF), and foam materials were used as the core of the sandwich, while beech plywood was laid as the only face material. The layers of the sandwich were adhered with polyurethane adhesive. Elasticities (E) of PB, MDF, and plywood were determined in the laboratory. The E value specified by the manufacturer for the foam was used to determine the flexural behavior of sandwich panels. Results of the study indicated that the type of core material significantly affects the bending behavior of sandwich panels with plywood facings. Sandwich panels with MDF-core were observed to be more resistant in bending compared to PB and foam-core sandwich panels. Core shear failure was the dominant failure type when wood-based materials were used as core material. Buckling or tension in facing was observed when foam was used as core material. The results of the study demonstrate that numerical models can be used to accurately predict the bending behavior of the sandwich panels until failure based on yield stress and tangent modulus of the materials.Öğe Acceptable women of Müfide Ferit: A blend of nationalism and feminism(Alexandru Ioan Cuza Univ Iasi Fac Philosophy & Social-Political Sciences, 2025) Mert, Melek KaymazFrom the Second Constitutional Monarchy to the early years of the Republic, M & uuml;fide Ferit Tek was one of the significant woman writers. Her feminism is a fusion of nationalism and feminism, which is quite different even if she is cited among feminist writers. Her conception of feminism differed from that of many of her counterparts and from what is understood now. Her works presented a strong, patriotic, self-reliant woman who was loyal to her own principles and stood on her own two feet as the ideal of an acceptable lady. This article is particularly interested in the feminist views of M & uuml;fide Ferit. The purpose of this study is to examine how M & uuml;fide Ferit Tek contributed to the history of feminism in Turkey by fusing nationalism and feminism from the late Ottoman era to the Republic. M & uuml;fide Ferit, a significant woman author of the late Ottoman and early Republic period, approached feminism from a unique angle and made a clear contrast between women who were acceptable and those who were not in her writings.Öğe Annual germination cycle of salep orchid (Anacamptis sancta L.) and adaptation to outdoor conditions(Julius Kuhn Inst - Jki, 2024) Parlak, Salih; Erken, KamilOrchids have an important place in plant biodiversity. Although many orchid species are endangered, millions of tubers are removed and destroyed every year. Anacamptis sancta is one of the most widespread and most collected species. Since orchid seeds do not have endosperms, their reproduction rate in nature is low. It can be germinated asymbiotically in the laboratory environment, but the critical stage in this process is the acclimatisation of the plants from the in vitro growing media to the outdoor conditions. Seedlings that cannot establish mycorrhizal relationships in the transferred growing media die. Studies on acclimatisation of salep orchids to the outdoor environment are quite limited. In this study, the germination cycle of Anacamptis sancta was determined by sowing seeds in monthly intervals into asymbiotic growing media, and adaptation studies were carried out by transferring the seedlings to different growing environments. Starting from May, seeds were sown on modified Knudson C (KC) medium between the 15th and 20th of each month. The seedlings, which reached the transplant size after approximately five months, were transplanted to three different growing media consisting of peat, peat/perlite (3/1) and soil. In this study, which was repeated every month, 300 seedlings were transplanted into each growing media in three replicates, and a total of 900 seedlings were transplanted into three growing media. As a result, germination percentages in all months were higher than the reported studies. Besides, for the first-time direct transfer of orchid transplantation from laboratory to field was carried out and statistically the most successful results in outdoor adaptation were obtained from the seedlings transferred to the peat in August.Öğe Evaluating the Use of Smartphone Applications for Log Stacks Volume Measurement in Turkish Forestry Practices(Zagreb Univ, Fac Forestry, 2024) Ucar, Zennure; Eker, Remzi; Bilici, Ebru; Akay, Abdullah EminWith recent technological development, photo-optical measurement systems in mobile devices have been increasingly used for automatic wood volume estimation because of their ease of use and efficiency. This study aimed to evaluate the use of photo-optical mobile apps for measuring solid wood volume of the stack in Turkish forestry practices. For this study, 21 log stacks were measured using the traditional technique and two photo-optical mobile apps - iFovea Pro and Timbeter. A strong correlation was found between the traditionally measured solid wood volume of the stack and the volume estimated using both photo-optical apps, the number of logs in the stack, and the mean diameter of the stack. The estimated number of trees from the two apps and manual measurement were not statistically different. However, statistical differences were observed between all three measurement approaches for the mean diameter of the stack. Also, statistical test results indicated mixed results for estimated solid wood volume in the stack. In addition, the study tested whether both apps correctly measure the diameter of the logs in the stack. Thus, manually measured diameter of the randomly selected 50 trees within 21 stacks was compared to the log diameters measured automatically using both mobile apps. The results indicated no statistical difference between the three measurement approaches. The study results are promising for using photo-optical mobile apps in Turkish forestry in terms of transition to digital forestry. However, there are still opportunities to improve the capabilities of the method through further analysis of estimating stack volume using the image from both sides of the logs considering different quality and diameter classes with bark conditions.Öğe ?-Glycosidase activity of novel coumarin-triazole-coumarin dyads(Tubitak Scientific & Technological Research Council Turkey, 2025) Sirin, Ersin; Sevimli, Esra; Seyhan, Gokce; Barut, Burak; Kaya, Yunus; Koksoy, BaybarsNovel coumarin-triazole-coumarin dyads were synthesized and characterized, and their alpha-glycosidase inhibitory activities were evaluated spectrophotometrically. Compound 4e exhibited the most pronounced inhibitory effect, with an IC50value of 38.98 +/- 0.77 mu M. The IC50 values for 4d and 4a were 93.55 +/- 1.70 mu M and 95.04 +/- 3.55 mu M, respectively. The Lineweaver-Burk plot showed that 4e inhibited alpha-glycosidase in a mixed type. In addition, the Ki value obtained from the Dixon plot was 19.95 +/- 0.15 mu M for alpha-glycosidase.Öğe AN ORDER INDUCED BY THE DIRECT PRODUCT OF T-NORMS(Comenius Univ, Sch Medicine, 2024) Asici, E.; Mesiar, R.In this paper, we study the direct product of triangular norms (t-norms) on bounded lattices. We define an order induced by t-norms, which is a direct product of two t-norms on bounded lattices, and properties of introduced order are deeply investigated. We explore some properties of the direct product of two t-norms on bounded lattices. We investigate the properties of the set of comparable and incomparable elements with respect to the <=(T) partial order.Öğe Infrahumanization and Dehumanization of Women in Turkish Comedy Films as an Element of Comedy(Univ Pittsburgh, Univ Library System, 2025) Mert, Melek Kaymaz; Turedi, HumeyraThis article's goal is to use the ideas of infrahumanization and dehumanization to describe how women are portrayed in Turkish comedies. Dehumanization is the process of describing a person with animalistic or robotic traits. Like dehumanization, infrahumanization is the belief that one's own group has more complex emotions than others, while members of the other group merely have animal-like innate feelings. Turkish women were portrayed as less human in this context, and this study explores whether this impression exists. The narrative analysis method was used to study popular comedy films shot between 1970 and 1979 to arrive at the answer to the query. Twenty Turkish comedy films were analyzed, and it was shown that both dehumanization and infrahumanization occurred.
