IYTE GCRIS Database (Izmir Institute of Technology)
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Association Mapping and Candidate Gene Identification for Yield Traits in European Hazelnut (i>corylus Avellana/I> L.)
No full textEuropean hazelnut (Corylus avellana L.) is an important nut crop due to its nutritional benefits, culinary uses, and economic value. T ; uuml;rkiye is the leading producer of hazelnut, followed by Italy and the United States. Quantitative trait locus studies offer promising opportunities for breeders and geneticists to identify genomic regions controlling desirable traits in hazelnut. A genome-wide association analysis was conducted with 5,567 single nucleotide polymorphisms on a Turkish core set of 86 hazelnut accessions, revealing 189 quantitative trait nucleotides (QTNs) associated with 22 of 31 traits (p 2.9E-07). These QTNs were associated with plant and leaf, phenological, reproductive, nut, and kernel traits. Based on the close physical distance of QTNs associated with the same trait, we identified 23 quantitative trait loci. Furthermore, we identified 23 loci of multiple QTs comprising chromosome locations associated with more than one trait at the same position or in close proximity. A total of 159 candidate genes were identified for 189 QTNs, with 122 of them containing significant conserved protein domains. Some candidate matches to known proteins/domains were highly significant, suggesting that they have similar functions as their matches. This comprehensive study provides valuable insights for the development of breeding strategies and the improvement of hazelnut and enhances the understanding of the genetic architecture of complex traits by proposing candidate genes and potential functions
Açık Bilim
No full text22-23 Şubat 2024 tarihinde İstanbul Üniversitesi ev sahipliğinde gerçekleştirilen Akademik Bilişim Konferansı'nda yapılan sunumdur
Breakthrough Curve Analysis of Phosphorylated Hazelnut Shell Waste in Column Operation for Continuous Harvesting of Lithium From Water
No full textIn batch-scale operations, biosorption employing phosphorylated hazelnut shell waste (FHS) revealed excellent lithium removal and recovery efficiency. Scaling up and implementing packed bed column systems necessitates further design and performance optimization. Lithium biosorption via FHS was investigated utilizing a continuous-flow packed-bed column operated under various flow rates and bed heights to remove Li to ultra-low levels and recover it. The Li biosorption capacity of the FHS column was unaffected by the bed height, however, when the flow rate was increased, the capacity of the FHS column decreased. The breakthrough time, exhaustion time, and uptake capacity of the column bed increased with increasing column bed height, whereas they decreased with increasing influent flow rate. At flow rates of 0.25, 0.5, and 1.0 mL/min, bed volumes (BVs, mL solution/mL biosorbent) at the breakthrough point were found to be 477, 369, and 347, respectively, with the required BVs for total saturation point of 941, 911, and 829, while the total capacity was calculated as 22.29, 20.07, and 17.69 mg Li/g sorbent. In the 1.0, 1.5, and 2.0 cm height columns filled with FHS, the breakthrough times were 282, 366, and 433 min, respectively, whereas the periods required for saturation were 781, 897, and 1033 min. The three conventional breakthrough models of the Thomas, Yoon-Nelson, and Modified Dose-Response (MDR) were used to properly estimate the whole breakthrough behavior of the FHS column and the characteristic model parameters. Li's extremely favorable separation utilizing FHS was evidenced by the steep S-shape of the breakthrough curves for both parameters flow rate and bed height. The reusability of FHS was demonstrated by operating the packed bed column in multi-cycle mode, with no appreciable loss in column performance
Ultra-Thin Double-Layered Hexagonal Cui: Strain Tunable Properties and Robust Semiconducting Behavior
No full textIn this study, the freestanding form of ultra-thin CuI crystals, which have recently been synthesized experimentally, and their strain-dependent properties are investigated by means of density functional theory calculations. Structural optimizations show that CuI crystallizes in a double-layered hexagonal crystal (DLHC) structure. While phonon calculations predict that DLHC CuI crystals are dynamically stable, subsequent vibrational spectrum analyzes reveal that this structure has four unique Raman-active modes, allowing it to be easily distinguished from similar ultra-thin two-dimensional materials. Electronically, DLHC CuI is found to be a semiconductor with a direct band gap of 3.24 eV which is larger than that of its wurtzite and zincblende phases. Furthermore, it is found that in both armchair (AC) and zigzag (ZZ) orientations the elastic instabilities occur over the high strain strengths indicating the soft nature of CuI layer. In addition, the stress-strain curve along the AC direction reveal that DLHC CuI undergoes a structural phase transition between the 4% and 5% tensile uniaxial strains as indicated by a sudden drop of the stress in the lattice. Moreover, the phonon band dispersions show that the phononic instability occurs at much smaller strain along the ZZ direction than that of along the AC direction. Furthermore, the external strain direction can be deduced from the predicted Raman spectra through the splitting rates of the doubly degenerate in-plane vibrations. The mobility of the hole carriers display highly anisotropic characteristic as the applied strain reaches 5% along the AC direction. Due to its anomalous strain-dependent electronic features and elastically soft nature, DLHC of CuI is a potential candidate for future electro-mechanical applications
Miras Sunumunda Bir Araç Olarak 3d Modelleme: 19. Yüzyıl Gülbahçe, Urla, İzmir'in Dijital Rekonstrüksiyonu
No full textThe aim of this thesis is to digitally reconstruct Gülbahçe, a wealthy town centre in the 19th century, where the town's wealth shaped its built environment. Currently, most of these unique characteristics have disappeared. The purpose of this project is to interpret and present the lost heritage of Gülbahçe in a digital environment. The 19th century Gülbahçe was modelled using a geometry-based modelling method with the specific aim of achieving this final result. In order to ensure the reliability of the model, all the literature and archival sources in Turkey and Greece were examined, and information about Gülbahçe was compiled. As a result, the three-dimensional digital model effectively presented the inaccessible lost heritage, providing a comprehensive view of the built environment and cultural landscape at the settlement scale. Furthermore, the presentation method developed according to the degree of reliability of each digitally reconstructed building goes beyond the creation of digital copies, as recommended in the London Charter, and ensures that the visualisation processes and results can be properly understood and evaluated by participants.Bu tez, 19. yüzyılda varlıklı bir nahiye merkezi olan ve bu zenginliğin yapılı çevreyi de şekillendirdiği; ancak günümüzde bu özelliklerini büyük oranda kaybetmiş olan Gülbahçe'nin kaybolan mirasını yorumlamak ve sunmak amacıyla dijital ortamda yeniden inşa edilmesini amaçlamıştır. Bu doğrultuda, 19. Yüzyılın Gülbahçe'si geometri tabanlı modelleme yöntemi ile modellenmiştir. Modelin güvenilirliğinin sağlanabilmesi için Türkiye ve Yunanistan'da bütün literatür ve arşiv kaynakları taranarak Gülbahçe'ye dair bilgiler derlenmiştir. Bunun sonucunda üç boyutlu dijital model, yerleşim bütünü ve etkileşim içinde olduğu çevresini de kapsayarak ve günümüzde artık var olmayan öğeleri de içerecek şekilde gerçekleştirmiştir. Bunlara ek olarak bu çalışma dijital rekonstrüksiyonu gerçekleştirilen her bir yapının güvenirlilik derecesine göre geliştirilen sunum yöntemi ile Londra Tüzüğü'nde önerildiği gibi, yalnızca dijital kopyaların oluşturulmasının ötesine geçerek görselleştirme süreçlerinin ve sonuçlarının kullanıcılar tarafından doğru şekilde anlaşılabilmesini ve değerlendirilebilmesini sağlamaktadır
Quantitative Evaluation of the Pore and Window Sizes of Tissue Engineering Scaffolds on Scanning Electron Microscope Images Using Deep Learning
No full textThe morphological characteristics of tissue engineering scaffolds, such as pore and window diameters, are crucial, as they directly impact cell-material interactions, attachment, spreading, infiltration of the cells, degradation rate and the mechanical properties of the scaffolds. Scanning electron microscopy (SEM) is one of the most commonly used techniques for characterizing the microarchitecture of tissue engineering scaffolds due to its advantages, such as being easily accessible and having a short examination time. However, SEM images provide qualitative data that need to be manually measured using software such as ImageJ to quantify the morphological features of the scaffolds. As it is not practical to measure each pore/window in the SEM images as it requires extensive time and effort, only the number of pores/windows is measured and assumed to represent the whole sample, which may cause user bias. Additionally, depending on the number of samples and groups, a study may require measuring thousands of samples and the human error rate may increase. To overcome such problems, in this study, a deep learning model (Pore D2) was developed to quantify the morphological features (such as the pore size and window size) of the open-porous scaffolds automatically for the first time. The developed algorithm was tested on emulsion-templated scaffolds fabricated under different fabrication conditions, such as changing mixing speed, temperature, and surfactant concentration, which resulted in scaffolds with various morphologies. Along with the developed model, blind manual measurements were taken, and the results showed that the developed tool is capable of quantifying pore and window sizes with a high accuracy. Quantifying the morphological features of scaffolds fabricated under different circumstances and controlling these features enable us to engineer tissue engineering scaffolds precisely for specific applications. Pore D2, an open-source software, is available for everyone at the following link: https://github.com/ilaydakaraca/PoreD2
Effects of Surface Treatments on Fatigue Performance of Adhesively Bonded Single Lap Joint Carbon Fiber Based Polymer Composites
No full textYeni teknolojilerin ortaya çıkışını takip eden dönemde, alternatif birleştirme teknikleri karbon elyaf takviyeli polimerleri içeren uygulamalarda geleneksel mekanik bağlantı elemanlarının yerini almaya başlamıştır. Gerilme konsantrasyonu, ağırlık, radar sinyallerinin emilmesi ve korozyon gibi mekanik bağlantı elemanlarıyla ilgili zorlukların çoğu, CFRP'ler alanında yapıştırıcı bağların kullanılmaya başlanmasıyla etkili bir şekilde ele alınmıştır. Bununla birlikte, kirletici maddelerin varlığı ve yüzey tabakasındaki matris fazlalığı da dahil olmak üzere çeşitli faktörler yapışma gücü üzerinde önemli bir etkiye sahiptir. Bu tezin amacı, yüzey işleminin uygulanmasının, yapışkan olarak bağlanmış karbon elyaf takviyeli polimer kompozit plakaların yorulma performansı üzerindeki etkilerini incelemektir. [45/-45/45/0/-45/90]s istifleme sırasına sahip karbon fiber takviyeli polimer laminatlar, otoklav tekniği ile tek yönlü prepregler kullanılarak üretilmiştir. Karbon fiber takviyeli polimer laminatların yapışma yüzeyine lazer işlemi ve elektrospinning olmak üzere iki farklı yüzey işlemi uygulanmıştır. Farklı yüzey işlemlerine tabi tutulan kompozitlerin yorulma performansını araştırmak için yük kontrollü çekme-germe yorulma testleri yapılmıştır. Numuneler, statik tek bindirmeli kesme testlerinden belirlenen ortalama maksimum tek bindirmeli kesme yükünün %30 ila %50'si arasında değişen gerilme seviyelerinde döngüsel yüklemeye tabi tutulmuştur. Yüzey işlemlerinin yapışma yüzeyinin yorulma performansı üzerindeki etkileri SEM görüntüleri, sertlik bozulması ve Wöhler eğrileri kullanılarak yorumlanmıştır.In the period following the advent of new technologies, alternative joining techniques began to supplant traditional mechanical fasteners in applications involving carbon fiber-reinforced polymers. The majority of challenges associated with mechanical fasteners, including stress concentration, weight and the absorption of radar signals as well as corrosion, were effectively addressed by the introduction of adhesive bonding in the field of CFRPs. Nevertheless, several factors exert a significant influence on the adhesion strength, including the presence of contaminants and an excess of matrix on the surface layer. The objective of this thesis is to examine the effects of applying surface treatment on the fatigue performance of adhesively bonded carbon fibre-reinforced polymer composite plates. Carbon fibre-reinforced polymer laminates with a stacking sequence of [45/-45/45/0/-45/90]s were manufactured using unidirectional prepregs by the autoclave technique. Two different surface treatments, namely laser treatment and electrospinning, were applied to the adhesion surface of the carbon fibre-reinforced polymer laminates. Load-controlled tension-tension fatigue tests were conducted to investigate the fatigue performance of composites subjected to different surface treatments. Specimens were subjected to cyclic loading at stress levels ranging from 30% to 50% of the average maximum single lap shear load, as determined from static single lap shear tests. The effects of surface treatments on the fatigue performance of the adhesion surface were interpreted using SEM images, stiffness degradation, and Wöhler curves
Physics and Mechanics of New Materials: Synthesis, Processing, and Emerging Applications
No full textThis new volume covers new advances in materials science and engineering technology, focusing on practical rather than theoretical aspects that are useful for the design, fabrication, testing, and industrial application of advanced materials and structures. The first section of this book delivers a comprehensive overview of modern ferrites with special attention to their structure, types, and properties. It presents a comprehensive survey on ferrite materials with discussions of selected applications of modern ferrite materials in emerging technologies. In the second section, the impact of technological change upon the application of selected materials and energy resources are presented in detail. This includes discussions on 2D nanomaterials, bismuth ferrite, and barium titanate and how these can be put to practical use. In the last section of this volume, case studies in thermophysics and applied mechanics for engineering technology are presented that provide an examination of the various physical, chemical, and material properties of a range of modern materials. This research-oriented book, Physics and Mechanics of New Materials: Synthesis, Processing, and Emerging Applications, is an essential reference source intended for scientific researchers, faculty, and postgraduate and senior students who specialize in the field of materials science and applied mechanics of materials. © 2025 by Apple Academic Press, Inc
Measuring the Performance of an Artificial Intelligence-Based Robot That Classifies Blood Tubes and Performs Quality Control in Terms of Preanalytical Errors: a Preliminary Study
No full textObjectives: Artificial intelligence-based robotic systems are increasingly used in medical laboratories. This study aimed to test the performance of KANKA (Labenko), a stand-alone, artificial intelligence-based robot that performs sorting and preanalytical quality control of blood tubes. Methods: KANKA is designed to perform preanalytical quality control with respect to error control and preanalytical sorting of blood tubes. To detect sorting errors and preanalytical inappropriateness within the routine work of the laboratory, a total of 1000 blood tubes were presented to the KANKA robot in 7 scenarios. These scenarios encompassed various days and runs, with 5 repetitions each, resulting in a total of 5000 instances of sorting and detection of preanalytical errors. As the gold standard, 2 experts working in the same laboratory identified and recorded the correct sorting and preanalytical errors. The success rate of KANKA was calculated for both the accurate tubes and those tubes with inappropriate identification. Results: KANKA achieved an overall accuracy rate of 99.98% and 100% in detecting tubes with preanalytical errors. It was found that KANKA can perform the control and sorting of 311 blood tubes per hour in terms of preanalytical errors. Conclusions: KANKA categorizes and records problem-free tubes according to laboratory subunits while identifying and classifying tubes with preanalytical inappropriateness into the correct error sections. As a blood acceptance and tube sorting system, KANKA has the potential to save labor and enhance the quality of the preanalytical process. © 2024 The Author(s)
On the Rings Whose Injective Right Modules Are Max-Projective
No full textRecently, right almost-QF (respectively, max-QF) rings that is the rings whose injective right modules are R-projective (respectively, max-projective) were studied by the first two authors. In this paper, our aim is to give some further characterizations of these rings over more general classes of rings, and address several questions about these rings. We obtain characterizations of max-QF rings over several classes of rings including local, semilocal right semihereditary, right non-singular right Noetherian and right non-singular right finite dimensional rings. We prove that for a ring R being right almost-QF and right max-QF are not left-right symmetric. We also show that right almost-QF and right max-QF rings are not closed under factor rings. This leads us to consider the rings all of whose factor rings are almost-QF and max-QF