Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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

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Now showing 1 - 20 of 7459

Navigating Dichotomies for Spatial Justice in Urbanism
(TU Delft, 2025) Coşkun, Yağmur Asçı; Aygün, Gamzenur; Çınar, Sena; Çifçi, Burcu Değerli; 01. Izmir Institute of Technology
A Just Co-City
(TU Delft, 2025) Keskin, Eylem; Köse, Süheda; Yalçın, Zeynep Özge; Gürman, Aysu; Buldan, Ece; 01. Izmir Institute of Technology
Geographical Classification and Characterization of Turkish Gemlik Virgin Olive Oils From Two Locations (Salihli – Manisa and Gemlik – Bursa) Based on Their Glyceridic Profiles
(INNOVHUB - Stazioni Sperimentali per l'Industria S.r.l - Area Oli e Grassi, 2025) Diraman, Harun; Özdemir, Durmuş Ş.; 01. Izmir Institute of Technology; 04. Faculty of Science; 04.01. Department of Chemistry
The Gemlik olive cultivar (which is grown for its fruit and oil, also known as the Trilya or Tirilye olive) is the major domestic cultivar of the Marmara region and originated in Bursa province on the Gulf of Gemlik. It has also been cultivated widely for over twenty years in other olive growing regions in Turkey and is the source of speculative claims by the domestic sector about the properties of its oil. In this study, VOO samples produced from Gemlik olive cultivar grown over two crop years in the two main locations (Salihli–Manisa n=10 and Gemlik –Bursa n=14) and reference samples from the Olive Research Institute-Borova/Izmir (n=2) were analysed using the common and approved capillary GC (Fatty Acid Composition-FA) and HPLC (Triacylglycerol Profile-TAG) methods. All data from both methods were classified with the most popular chemometrics methods (Principal Component Analysis, PCA and Hierarchical Cluster Analysis, HCA). The results of the glyceridic data from the PCA indicated that the changes of cumulative percentage were the reason for variance levels (based on PC1 and PC2) in VOO samples of between 61.75 and 77.93% for all data over the two crop years. According to the PCA biplot analysis for the two crop years, some major–minor compounds and calculated parameters from FAs and TAGs data played an effective role in the geographical characterisation and classification of Gemlik VOO from two different locations, Manisa and Bursa. Consequently, the FA and TAG profiles could be promising in determining the correct geographical classification of monocultivar Gemlik VOOs. © 2025 Elsevier B.V., All rights reserved.
Citation - WoS: 24
Effect of pH and Hydration on the Normal and Lateral Interaction Forces Between Alumina Surfaces
(2006) Polat, Mehmet; Sato, Kimiyasu; Nagaoka, Takaaki; Watari, Koji; 01. Izmir Institute of Technology; 03. Faculty of Engineering; 03.02. Department of Chemical Engineering
Normal and lateral interaction forces between alumina surfaces were measured using Atomic Force Microscopy-Colloid Probe Method at different pH. The normal force curves exhibit a well-defined repulsive barrier and an attractive minimum at acidic pH and the DLVO theory shows excellent agreement with the data. The normal forces are always repulsive at basic pH and the theory fails to represent the measurements. Lateral forces are almost an order of magnitude smaller in the basic solutions. These differences, which have important implications in the study of stability and rheology, are attributed to the hydration of the alumina surface at basic pH. © 2013 Elsevier B.V., All rights reserved.
Citation - WoS: 2
Citation - Scopus: 1
Çelik Fiber Katkısının Farklı Boyuna Donatı Oranına Sahip Betonarme Döşemelerin Zımbalama Davranışı Üzerinde Etkileri
(2019) Saatci, Selcuk; Yasayanlar, Suleyman; Yasayanlar, Yonca; Batarlar, Baturay; 01. Izmir Institute of Technology; 03. Faculty of Engineering; 03.03. Department of Civil Engineering
Sunulan çalışmada her iki yönde birbirine dik 0,004 (D1 serisi) ve 0,002 (D2 serisi) oranında boyuna donatıiçeren 2150x2150x150 mm boyutlarında iki grup betonarme döşeme, hacimce %0, %0,5, %1 ve %1,5oranında çelik fiber katkısı içeren beton karışımlarıyla dökülmüştür. Üretilen toplam sekiz döşeme ortanoktalarından statik yük altında test edilmişlerdir. Çelik fiber katkısı olmayan numunelerde yüksek boyunadonatı oranına sahip döşeme boyuna donatısında akma gerçekleşmeden gevrek bir şekilde zımbalamagöçmesi oluşurken düşük boyuna donatı oranına sahip döşeme zımbalama gerçekleşmeden önce çok dahasünek bir davranış göstermiştir. Çelik fiber katkısı her iki boyuna donatı oranında da iki kata varan oranlardazımbalama dayanımı artışlarına sebep olmuştur. Ancak D1 serisi döşemelerde çelik fiber katkısı maksimumyer değiştirmeleri önemli ölçüde arttırırken D2 serisinde maksimum yer değiştirmelerde önemli bir farkoluşmamış, bu döşemelerin yer değiştirmesi boyuna donatının akması tarafından kontrol edilmiştir. Çelikfiber katkısı oranının arttırılması D1 serisi döşemelerde dayanımın ve maksimum yer değiştirmelerinartmasına sebep olurken, D2 serisi döşemelerde %1'in üstü çelik fiber katkı oranları davranışta önemli birfark oluşturmamıştır. Yapılan deneyler Kritik Kesme Çatlağı Teorisi kullanılarak analitik olarakmodellenmiş ve bu tip modelleme ile ilgili bazı iyileştirmeler önerilmiştir.
Microplastic Pollution and Risk Evaluation in the Gediz River
(Central Fisheries Research Institute, 2026) Baycan, Neval; Alyürük, Nefise; Kazancı, Yiğithan; Alpergün, Cumana; Kara, Nursena; Gündüz, Orhan; 01. Izmir Institute of Technology; 03. Faculty of Engineering; 03.07. Department of Environmental Engineering
Microplastics (MPs), particles less than 5 mm in diameter, enter the aquatic ecosystem through the degradation of larger plastics. They can accumulate in the environment for long periods due to their durability and buoyancy. In this study, a risk assessment of MPs was conducted at five different stations in the Gediz River via a Pollution Load Index (PLI) and a Polymer Hazard Index (PHI) calculated for dry and wet seasons to highlight the risks caused by seasonal variations of pollution levels for different types of MPs in an urban river discharging to Izmir Bay. The results showed that MPs were widespread in the area, with an average abundance of 13-211 units/L/L. During the dry season, the mean number of particles was 67±57; during the wet season, the mean number of particles decreased to 50±37. The most common type was polypropylene with 62.4%, followed by Polyethylene and Polyethylene Terephthalate (8.3% and 7.01%). The most abundant MP shapes are fragments and fibers, with 47.1% and 38.5%. During the dry season, PLI values ranged from 0.99 to 2.44, while in the wet period, they ranged from 1.08 to 2.11. Furthermore, PHI values for the MP species detected at each station ranged from 3.81 to 7.91. The results indicated that the Gediz River is a significant MPs source for Izmir Bay and demonstrates a major hazard for its overall ecological condition. © 2025 Elsevier B.V., All rights reserved.
Comprehensive 4E Analysis, Multi-Objective Optimization, and Feasibility Study of Five Natural Gas Liquefaction Processes With a Case Study for Iran
(Elsevier Ltd, 2026) Aghdasinia, Hassan; Mohammadpourfard, Mousa; 01. Izmir Institute of Technology; 03. Faculty of Engineering; 03.06. Department of Energy Systems Engineering
Natural gas (NG) is increasingly vital as a cleaner energy source due to its lower carbon emissions compared to other fossil fuels. Liquefaction facilitates efficient long-distance transportation. While numerous studies address NG liquefaction's technical aspects, holistic research remains limited. This study presents a comprehensive evaluation of five conventional natural gas (NG) liquefaction processes (including SMR-Linde, SMR-APCI, C3MR-Linde, DMR-APCI, and MFC-Linde) through a 4E framework: energy, exergy, exergoeconomic, and exergoenvironmental analyses. Addressing limitations in prior research, it incorporates environmental considerations and introduces production volume-independent metrics to ensure equitable comparisons. Multi-objective optimization, based on exergoeconomic and exergoenvironmental criteria, is employed to identify Pareto-optimal operating conditions. To accelerate this complex process, neural networks are utilized. The study concludes with a feasibility assessment of large-scale LNG production in Iran, offering practical insights for optimizing process selection and enhancing the economic and environmental viability of LNG technologies. Simulations show that the MFC-Linde cycle as the most efficient regarding specific energy consumption (0.2563 kWh/kgLNG), coefficient of performance (3.184), and exergy efficiency (52.32 %). It also demonstrates the lowest unit exergy cost (3.67$/GJ) and exergy unit environmental impact (5271.86mPts/GJ). Multi-objective optimization, considering both exergetic-economic and exergetic-environmental criteria, using neural networks and genetic algorithms in MATLAB identifies Pareto-optimal conditions for all processes. For the MFC-Linde, as the most efficient process, optimal operating conditions in the exergetic-economic trade off scenario are: Exergy efficiency of process =51.45% and Exergy cost rate of LNG =82,162.15$/h; at Pressure of NG feed =5,925.32kPa, Pressure drop in valve =5,831.99kPa, and NG side temperature in heat exchanger =-168.34°C. Finally, a feasibility study for large-scale LNG (Liquefied Natural Gas) production in Iran shows promising results, with a return on investment of 32.24 %/year and a payback period of 2.34 years, indicating the project's potential success in regions with abundant NG reserves. © 2025 Elsevier B.V., All rights reserved.
On the Construction of XOR-Magic Graphs
(Elsevier B.V., 2026) Batal, Ahmet; 01. Izmir Institute of Technology; 04. Faculty of Science; 04.02. Department of Mathematics
A simple connected graph of order 2n is defined as a xor-magic graph of power n if its vertices can be labeled with vectors from F2n in a one-to-one manner such that the sum of labels in each closed neighborhood set of vertices equals zero. In this paper, we introduce a method called the self-switching operation, which, when properly applied to an odd xor-magic graph of power n, generates a xor-magic graph of power n+1. We demonstrate the existence of a proper self-switching operation for any given odd xor-magic graph and provide a characterization of the cut space of a connected graph in the process. We also observe that the Dyck graph can be obtained from the complete graph of order 4 by applying three successive self-switching operations. Additionally, we investigate various graph products, including Cartesian, tensor, strong, lexicographical, and modular products. We observe that these products allow us to generate xor-magic graphs by selecting appropriate factor graphs. Notably, we discover that a modular product of graphs is always a xor-magic graph when the orders of its factors are powers of 2 (except for 2 itself). In the process, we realize that the Clebsch graph is the modular product of the cycle graph and the empty graph, each of order 4. By combining the self-switching operation with the modular product, we establish the existence of k-regular xor-magic graphs of power n for all n≥2 and for all k∈{3,5,7,…,2n-5}∪{2n-1}. We also prove that there is no (2n-3)-regular xor-magic graph of power n. Lastly, we introduce two more methods to produce xor-magic graphs. One method utilizes Cayley graphs and the other utilizes linear algebra. © 2025 Elsevier B.V., All rights reserved.
Beyond Traditional Dentistry: How Organoids and Next-Gen Hydrogels Are Redesigning Dental Tissue Regeneration
(Elsevier Ltd, 2026) Yılmaz-Dagdeviren, Hilal Deniz; Arslan, Yavuz Emre; 01. Izmir Institute of Technology
Dental tissue regeneration has advanced rapidly with the development of bioengineered hydrogels and organoid technologies. In this review, multifunctional hydrogels are examined as biomimetic platforms with osteoinductive, adhesive, angiogenic, antimicrobial, and immunomodulatory properties tailored to enamel, dentin–pulp complex, periodontal ligament, and alveolar bone repair. Incorporation of bioactive molecules, including growth factors, bioceramics, antioxidants, and immune-modulating agents, has been reported to enhance tissue-specific regeneration while mitigating infection and inflammation. Stimuli-responsive designs have been utilized to enable spatiotemporally controlled delivery and degradation. Immunomodulatory hydrogels also have been shown to direct macrophage polarization, regulate T-cell infiltration, and promote matrix remodeling. Furthermore, organoid models supported by hydrogels have been employed to replicate dental tissue architecture, guide lineage-specific differentiation, and provide reproducible, physiologically relevant platforms for drug screening and developmental studies. Emerging strategies such as microfluidic organoid-on-chip systems and mechanically stimulated cultures are noted for their potential to provide more physiologically relevant models. Early clinical studies involving hydrogel-based scaffolds and stem cell constructs are discussed, indicating growing translational potential. Overall, these developments highlights that how advanced hydrogels and organoid systems can contribute to a shift from conventional restorative methods toward tissue engineering-based regenerative therapies. © 2025 Elsevier B.V., All rights reserved.
Knowledge-Based Training of Learning Architectures Under Input Sensitivity Constraints for Improved Explainability
(Elsevier Ltd, 2026) Sildir, Hasan; Erturk, Emrullah; Edi̇zer, Deniz Tuna; Deliismail, Ozgun; Durna, Yusuf Muhammed; Hamit, Bahtiyar; 01. Izmir Institute of Technology; 03. Faculty of Engineering; 03.02. Department of Chemical Engineering
The traditional machine learning (ML) training problem is unconstrained and lacks an explicit formulation of the underlying driving phenomena. Such a formulation, based solely on experimental data, does not ensure the delivery of qualitative knowledge among variables due to many theoretical issues in the optimization task. This study further tightens Artificial Neural Networks (ANNs) training by including input sensitivities as additional constraints and applies to regression and classification tasks based on literature data. In theory, such sensitivity represents the change direction of the target variable per change in measurements from indicators. The resulting nonlinear optimization problem is solved th rough a rigorous solver and includes the sensitivity expressions through algorithmic differentiation. Compared to traditional methods, with an acceptable decrease in the prediction capability, the proposed model delivers more intuitive, explainable, and experimentally verifiable predictions under input variable variations, under robustness to overfitting, while serving robust identification tasks. A classification case study includes a patient-oriented clinical decision support system development based on the impact of cancer-indicating variables. A competitive test prediction accuracy is obtained compared to commonly used algorithms despite 10 % decrease in the training. The regression case is built upon the energy load estimation to account for prominent considerations to obtain desired sensitivity patterns and proposed methodology delivers significant accuracy drop compared to some formulations to address knowledge patterns. The approach delivers a compatible pattern with practitioner expertise and is compared to widely used machine learning algorithms, whose performances are evaluated through common statistics in addition to multi-variable response graphs. © 2025 Elsevier B.V., All rights reserved.
Incorporation of CuWO4 With Hollow Tubular g-C3N4: Harnessing the Potential in Photocatalytic Degradation, Hydrogen Production, and Supercapacitor Applications
(Elsevier Ltd, 2026) Erdem, Nurseli Görener; Ca̧ǧlar, Başar; İnan, Ece; Tuna, Ozlem; Firtina Ertis, Irem; Bilgin Simsek, Esra; 01. Izmir Institute of Technology
Driven by the urgent need for sustainable energy conversion and environmental remediation technologies, the development of multifunctional materials has gained growing interest. Herein, a bifunctional heterostructure was fabricated by depositing copper tungstate (CuWO4) spherical particles over hollow tubular graphitic carbon nitride (HTCN) using an ultrasonic-assisted thermal impregnation method. The photocatalytic activities were evaluated through tetracycline degradation and hydrogen evolution tests, while electrochemical measurements were conducted to assess the supercapacitor performance. CuWO4@HTCN composite achieved up to 83% degradation efficiency, a hydrogen evolution rate of 2538 μmol g1 h−1, and a specific capacitance of 212 F g1, demonstrating its strong potential as a multifunctional material for solar-driven environmental and energy storage applications. The enhanced photocatalytic performance was attributed to extended visible light absorption ability, efficient charge separation, and suppressed electron–hole recombination resulting from the formation of a Z-scheme heterojunction. Furthermore, the superior capacitance behavior was ascribed to enhanced electrical conductivity and ion transport, enabled by the porous, nitrogen-rich HTCN structure. The increased HTCN content in the composite improved pore accessibility and active site availability while an excessive amount of CuWO4 reduced electrochemical performance. These results highlight the multifunctional applicability of CuWO4@HTCN composite in photocatalytic hydrogen production and supercapacitor systems, emphasizing their relevance for renewable energy technologies. © 2025 Elsevier B.V., All rights reserved.
A Green Route To Albumin/Albumin Polyelectrolyte Complex Nanoparticles in Water With High Drug Loading for Drug Delivery
(Elsevier B.V., 2025) Sozer Demirdas, Sumeyra Cigdem; Erez, Ozlem; Cakan Akdogan, Gulcin; Akdoǧan, Yaşar; 01. Izmir Institute of Technology
A polyelectrolyte complex (PEC) formation offers a simple and green approach to obtaining albumin nanoparticles (NPs) without the use of organic solvents, crosslinkers and specialized equipment. The prepared cationic albumin proteins interact with anionic albumin proteins to form albumin PEC NPs (110 nm) with +37 mV surface zeta potential. Furthermore, albumin PEC NPs preparation in water alone achieves chlorambucil (CHL) loading up to 17 times higher than the conventional desolvation method, largely due to the elimination of drug loss to organic solvents. CHL loaded albumin PEC NPs also decreased the cell viability (Huh-7) to 44 % within 24 h. This study demonstrates that high drug-loaded albumin NPs can be alternatively synthesized by using albumin polyelectrolyte properties, and applied in drug delivery applications. © 2025 Elsevier B.V., All rights reserved.
Assessment of the Repeatability of Column Experiments Results on the Example of a Conservative Tracer
(Sciendo, 2025) Pietrzak, Damian; Kania, Jarosław; Kmiecik, Ewa; Baba, Alper; 01. Izmir Institute of Technology; 03. Faculty of Engineering; 03.03. Department of Civil Engineering
Most studies on the behavior of pollutants in the groundwater environment are carried out in laboratories, and the results are then implemented at local and regional levels using model simulations or analytical solutions. Column experiments are used to determine the transport characteristics of inorganic and organic chemicals in the soil and water environment. Although column experiments have been conducted regularly for many years, there is currently no established standard protocol for setting up and conducting them to ensure consistent results. The repeatability of column experiments was evaluated for soils, which differ primarily in the silt and clay content, using a conservative tracer susceptible only to advection and dispersion processes to reduce the number of variables affecting the results of the study which arise in a case of using reactive contaminants. The column experiments performed according to the adopted methodology are characterized by high repeatability of the obtained test results for the transport parameters, regardless of the type of injection or the chosen column length (only a small-scale effect is visible). Based on the results, it can be noticed that for the same soil the values of the pore–water velocity for different types of injections and column lengths are very similar. The percentage difference between the values of pore–water velocity obtained for both tested soils does not exceed 5% and for individual pairs of parallel column experiments it does not exceed 3%. © 2025 Elsevier B.V., All rights reserved.
Outage and Intercept Performance in THz LEO-Ground Communication With Satellite Selection
(Institute of Electrical and Electronics Engineers Inc., 2025) Bakırcı, Emre Berker; Safahan Ahrazoglu, Evla; Altunbas, Ibrahim; Erdoǧan, Eylem; 01. Izmir Institute of Technology
Satellite communication and THz communication systems are some of the methods that aim to meet the demand of increasing data rates. With an importance growing alongside increasing data amounts, data security is on its way to a position that cannot be neglected when building systems. In this study, it has been shown that secure data transmission can be made possible through the use of THz frequencies in a link between LEO satellites and a ground station. Proposed scenarios data transmission performance have been analyzed. It has been shown that selection transmission have improved both data transmission and security performances. © 2025 Elsevier B.V., All rights reserved.
A Hybrid Actuation System for Enhancing the Performance Metrics Related To Kinesthetic-Type Haptic Devices
(Institute of Electrical and Electronics Engineers Inc., 2025) Kucukoglu, Sefa Furkan; Dede, Mehmet Ismet Can; 01. Izmir Institute of Technology; 03. Faculty of Engineering; 03.10. Department of Mechanical Engineering
High torque to volume ratio, fast response, and high dynamic range are some of the desired performance metrics for kinesthetic-type haptic device actuation systems. In this article, we present a hybrid actuation system consisting of an active actuator and a magnetorheological fluid-based brake (MRF brake). MRF brake's tradeoffs, namely, off-state torque and slow response (compared to an electric motor), are investigated and resolved by this hybrid actuation system. First, the transient behavior of the MRF brake is investigated and an mathematical model is proposed to mimic its transient response behavior. It is found that the performance of the proposed model performs better than the conventionally used first-order transfer function. Second, hybrid actuation system is constructed. The active actuator is used for compensating for the speed of the response and the off-state torque based on the proposed mathematical model of the MRF brake. It is measured that the off-state torque is largely eliminated from 0.178 to 0.008 N m, the dynamic range is enlarged from 15 to 42.4 dB, and its time constant is improved from 69.6 to 4.4 ms when the hybrid actuation system is used instead of just an MRF brake. © 2025 Elsevier B.V., All rights reserved.
Unveiling the Design Rules for Tunable Emission in Graphene Quantum Dots: A High-Throughput TDDFT and Machine Learning Perspective
(Springer, 2025) Özönder, Şener; Özdemir, Mustafa Coşkun; Ünlü, Caner; 01. Izmir Institute of Technology
The ability to tailor the optical properties of graphene quantum dots (GQDs) is critical for their application in optoelectronics, bioimaging and sensing. However, a comprehensive understanding of how shape, size and doping influence their emission properties remains elusive. In this study, we conduct a systematic high-throughput time-dependent density functional theory (TDDFT) and machine learning analysis of 284 distinct GQDs, varying in shape (square, hexagonal, amorphous), size (∼1–2 nm) and doping configurations with elements B, N, O, S and P at varying concentrations (1.5–7%). Our findings reveal clear design principles for tuning emission wavelengths based on dopant type, concentration and GQD geometry. Notably, sulfur doping at specific concentrations consistently results in higher emission energies, with certain configurations yielding emissions within the visible range. By elucidating how quantum confinement effects, symmetry breaking and dopant-induced modifications govern GQD optical properties, we provide practical design rules for tailoring emission spectra for next-generation optoelectronic, bioimaging and sensing applications. © 2025 Elsevier B.V., All rights reserved.
Synthetic Memory: A Key Link Between Biocatalytically Synthesized Polyesters and Melt Electrowriting Performance
(Taylor and Francis Ltd., 2025) Dinçkal, Sanem; Yıldız, Ümit Hakan; 01. Izmir Institute of Technology; 04. Faculty of Science; 04.01. Department of Chemistry
The biocatalytic synthesis of polycaprolactone (PCL) and its copolymers has garnered significant attention due to their reduced toxicity and enhanced 3D processability compared to metal-catalyzed alternatives. The objective of this study is to employ biocatalysts—citric acid (CA), glycolic acid (GA) and salicylic acid (SAA)—and explore their catalytic effects on the synthesis of poly(ε-caprolactone) (PCL) and poly(ε-caprolactone)-b-poly(δ-valerolactone) (PCL-b-PVL) block copolymers. Additionally, we aimed to examine the link between synthetic memory of resultant PCL and PCL-b-PVL polymers and their melt electrowriting performance. Nuclear magnetic resonance analysis confirms successful synthesis of copolymers by monitoring signals of hydrogens at 2.30 ppm. Differential scanning calorimetry results reveal shifts in thermal properties of copolymers upon varying biocatalysts CA-, SAA- and GA-catalyzed copolymers exhibit Tm values between ∼52 and 54 °C. Melt electrowriting (MEW) results demonstrate that catalyst selection plays significant role in fiber morphology and scaffold architecture, with GA- and CA-catalyzed copolymers exhibiting finer fibers (5–8 μm), while SAA led to thicker fibers (∼12 μm) and reduced spacing. Moreover, precipitation solvents MeOH and acetonitrile (ACN) affect fidelity, with ACN-prepared scaffolds exhibiting more uniform fiber diameters. Atomic force microscopy imaging of electrowritten scaffolds made of ACN- and MeOH-precipitated PCL-b-PVL both exhibit large (>15 μm) and smaller (<10 μm) spherulitic structure as major topological features. These findings confirm that the synthetic memory of polyesters—governed by catalyst choice and processing conditions—directly influences their printability, making them promising candidates for MEW-based biomedical scaffolds in tissue engineering, where fine fiber morphology and architectural fidelity are essential for cell attachment and tissue regeneration. © 2025 Elsevier B.V., All rights reserved.
Teaching Accelerated Computing With Hands-On Experience
(Institute of Electrical and Electronics Engineers Inc., 2025) Oz, Isil; 01. Izmir Institute of Technology; 03. Faculty of Engineering; 03.04. Department of Computer Engineering
Heterogeneous computing systems maintain high-performance executions with parallel hardware resources. Graphics Processing Units (GPUs) with many parallel efficient cores and high-bandwidth memory structures enable accelerated computing for high-performance, deep learning, and embedded programs from diverse domains. The expertise in GPU programming requires a significant effort to utilize parallel computational units efficiently. Teaching programming for heterogeneous systems also becomes difficult due to dedicated hardware requirements and up-to-date course materials. In this paper, we present our teaching experience in an undergraduate parallel programming course, where we adopt NVIDIA Deep Learning Institute workshop and teaching kit contents and GPU devices at different scales to expose students to a set of hardware platforms with hands-on coding experience. © 2025 Elsevier B.V., All rights reserved.
Performance Evaluation of Filter-Based Gene Selection Methods in Cancer Classification
(Institute of Electrical and Electronics Engineers Inc., 2025) Gokalp, Osman; 01. Izmir Institute of Technology; 03. Faculty of Engineering; 03.04. Department of Computer Engineering
With the advances in microarray technology, gene expression levels can be measured efficiently, and this data can be used to solve important problems such as cancer classification. However, microarray data suffers from the high-dimensionality problem and requires dimensionality reduction techniques such as feature selection. This study addresses the cancer classification problem using microarray datasets and comparatively evaluates the performance of different filter-based gene (feature) selection methods. To this end, 11 microarray datasets have been evaluated using 6 different filter methods, and experimental results are presented. According to the findings, the gene selection methods used can improve classification performance by 5% to 30%. Using 5-fold cross-validation, the highest accuracy rates were achieved with 32 genes selected by the gain ratio filter for the Breast and Colon datasets, and with 8 genes selected by the information gain filter for the CNS dataset. © 2025 Elsevier B.V., All rights reserved.
Structural and Functional Tuning of ZIF-8 Nanoparticles Via Zinc Salt Variation and Ligand Ratio for Enhanced Drug Delivery
(Springer Science and Business Media B.V., 2025) Mete, Derya; Şanlı Mohamed, Gülşah; 01. Izmir Institute of Technology; 04. Faculty of Science; 04.01. Department of Chemistry
The clinical application of doxorubicin (DOX), a widely used chemotherapeutic agent, is limited by systemic toxicity, rapid clearance, and the development of multidrug resistance. Metal–organic frameworks (MOFs), particularly zeolitic imidazolate frameworks (ZIFs), have emerged as promising nanocarriers to overcome these limitations due to their high drug-loading capacity, pH-responsive release profiles, and favorable biocompatibility. Among them, ZIF-8 is especially attractive for its ability to selectively release drugs in acidic tumor microenvironments. However, the physicochemical and biological properties of ZIF-8 are highly sensitive to synthesis parameters, particularly the choice of zinc salt precursor and the Zn2+:ligand molar ratio. In this study, we systematically investigated the effects of four zinc salts (zinc nitrate, zinc acetate, zinc chloride, and zinc bromide) and three Zn2+:2-methylimidazole molar ratios (1:35, 1:70, and 1:200) on the synthesis, drug-loading efficiency, release behavior, and anticancer activity of DOX-loaded ZIF-8 (DOX@ZIF-8) nanoparticles. The resulting nanocarriers were characterized using scanning electron microscopy (SEM), dynamic light scattering (DLS), energy-dispersive X-ray spectroscopy (EDX), inductively coupled plasma optical emission spectroscopy (ICP-OES), thermogravimetric analysis (TGA), and Brunauer–Emmett–Teller (BET) surface area analysis. pH-responsive DOX release was evaluated under physiological (pH 7.4) and acidic (pH 5.0) conditions. Cytotoxicity was assessed in A549 lung cancer cells via the MTT assay. Additionally, in vitro time-lapse live-cell imaging and wound healing assays were conducted to evaluate intracellular drug uptake and cellular responses. Our findings highlight the critical influence of zinc salt selection and ligand ratio on the structure–property–function relationships of ZIF-8, providing valuable insights for the rational design of MOF-based nanocarriers in targeted cancer therapy. © 2025 Elsevier B.V., All rights reserved.

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