WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Permanent URI for this collectionhttps://hdl.handle.net/11147/7150

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Department: search.filters.department.Izmir Institute of TechnologyScopus Q: search.filters.scopusQuartile.N/A

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Now showing 1 - 10 of 29
  • Article
    Ai-Assisted Survival Prediction in Colorectal Cancer: a Clinical Decision Support Tool
    (Dokuz Eylul Univ inst Health Sciences, 2024) Misirlioglu, Huseyin Koray; Leblebici, Asim; Calibasi-Kocal, Gizem; Ellidokuz, Hulya; Basbinar, Yasemin
    Purpose: This study was planned to determine the problems and affecting factors that children encounter Purpose: Colorectal cancer (CRC) is a leading cause of cancer-related mortality worldwide. Accurate survival prediction is crucial for advanced-stage patients to optimize treatment strategies and improve clinical outcomes. This study aimed to develop an artificial intelligence-assisted clinical decision support system (CDSS) for survival prediction in CRC patients using clinical and genomic data from the Cancer Genome Atlas Colon Adenocarcinoma Collection (TCGA-COAD) dataset. Methods: Machine learning algorithms, including C4.5 Decision Tree, Support Vector Machines (SVM), Random Forest, and Naive Bayes, were employed to create survival prediction models. Clinical parameters and genomic data from key pathways, such as glycolysis/gluconeogenesis and mTORC1, were integrated into the models. The models were evaluated based on accuracy and performance. Results: The Random Forest algorithm achieved the highest accuracy (82.3%) when only clinical parameters were used. When clinical data were combined with gene expression data, the model's accuracy increased further. The resulting models were incorporated into a user-friendly web interface, SurvCOCA, for clinical use. Conclusions: This study demonstrates the potential of AI-based tools to improve prognosis predictions in CRC patients. Further research is needed, with larger datasets and additional machine learning algorithms, to enhance clinical decision-making and optimize treatment strategies.
  • Conference Object
    Liquid Cooling of Li-Ion Cells Based on a Constructal Canopy-To Approach
    (Amer Soc Mechanical Engineers, 2024) Gungor, Sahin; Cetkin, Erdal; Lorente, Sylvie
    While many countries ambition to transition to clean energy, challenges appear related to the new developed technologies. This is particularly the case when it comes to electric vehicles and their batteries. The technology of the latter is based on Lithium-ion electrochemical reactions. During the batteries discharge, the electrochemical reactions are exothermic, and they are endothermic during the charging phase. The large change in temperature threatens the life duration of the batteries, and when combined to other factors, their safety. Therefore, the thermal management of the electric vehicle battery pack is a critical aspect that requires specific attention. In this paper, we present the work conducted by our group on thermally efficient solutions for maintaining the battery cells within the temperature range expected by manufacturers. The thermal management solution consists in inserting between the battery cells a constructal-based liquid cooling system. Such systems are called canopy-to-canopy architectures. The cooling fluid is driven from a trunk channel to perpendicular branches that make the tree canopy. An opposite tree collects the liquid in such a way that the two trees match canopy-to-canopy. The results indicate that such configurations allow to extract most of the non-uniformly generated heat by the battery cell during the discharging phase, while using a small mass flow rate. Furthermore, the configuration with 5 branches appears to be the one with high thermal efficiency and low pumping power.
  • Article
    Investigation of the Relationship Between Women Indicators and Socio-Economic Development Index Using Spatial Econometrics Models
    (Istanbul Univ, Fac Letters, dept Geography, 2024) Gorgulu, Lale; Gorgulu, Cagla
    The aim of this study was to investigate the relationship between socioeconomic development (SEGE) scores at the provincial level and women's indicators in T & uuml;rkiye. The research questions include whether there is a relationship between women's indicators and SEGE scores, how the indicators affect SEGE scores, which indicators have a greater impact on SEGE, and how to determine the geographical distribution of the most effective indicators. The dataset for this study includes the socioeconomic development index scores of provinces and indicators related to women. The methods used in this study are correlation analysis, regression analysis, and spatial analyses (including spatial autoregressive and spatial error models, Moran's I and Lagrange multiplier diagnostics). The study's results indicate a negative significant relationship between the number of births of women aged 20-39 years and the proportion of agriculture in GDP. Conversely, there is a positive significant relationship between the indicator of compulsory insured women and SEGE scores. This study highlights the effects of women indicators on SEGE and contributes to the realisation of Sustainable Development Goals (SDGs) 5.5 and 10.2, which aim to provide gender equality and inclusion of women in socioeconomic life. The findings can guide the development of women-based strategies and policies for sustainable development.
  • Article
    Citation - WoS: 1
    GIS-AHP APPROACH FOR A COMPREHENSIVE FRAMEWORK TO DETERMINE THE SUITABLE REGIONS FOR GEOTHERMAL POWER PLANTS IN IZMIR, TURKIYE
    (Konya Teknik Univ, 2024) Koca, Kemal; Karipoglu, Fatih; Ozturk, Emel Zeray
    Geothermal energy is gaining more reputation and importance around the world. Correspondingly, suitable location selection is a critical step and has become necessary for the successful installation and operation of geothermal power plants. This study investigated suitability of & Idot;zmir region, located in the Aegean part of T & uuml;rkiye, in terms of geothermal power plants applications by using the combination of Geographical Information System and Analytic Hierarchy Process. Based on the request of power plants, thirteen important criteria were evaluated under three main categories named as physical (C1), environmental (C2) and technical (C3). Moreover, expert's opinions were taken into consideration to calculate the importance of these criteria. Key results showed that & Idot;zmir was suitable for geothermal power plants. The final suitability map layer pointed out that %8.73 (1.037 km2) of total area were determined as highly suitable regions in terms of installation. In addition, the obtained suitability map layer was compared with actual geothermal power plants. Based on the comparison study, power plants in Seferihisar were moderately suitable for geothermal power plants while the location of Bal & ccedil;ova power plant was highly suitable. Regarding the suitability assessment in the present study, the location of Dikili power plants had the least suitability score.
  • Conference Object
    Overtopping Failure of a Homogeneous Earth-Fill Dam With Two Different Breach Sizes and Rough Downstream Conditions
    (Crc Press-balkema, 2024) Taskaya, E.; Buyuker, Z.; Ozturk, B.; Bombar, G.; Tayfur, G.
    In this experimental study, sediment movement as a result of the failure of homogeneous earth-fill dams was investigated for rough downstream conditions compared with two different breach sizes. The dam body with 2.02 m width, 10 cm crest width, 60 cm height, and 32 degrees upstream and downstream slope was constructed with material with a median grain diameter of D-50 = 0.441 mm in a rectangular reinforced concrete channel with a width of 2 m. In the top middle of the dam body for the overtopping scenario, a 5 cm and 25 cm deep breach was triggered for experiments. The roughness downstream of the dam was created by placing 13 concrete cubes of 10x10x10 cm at regular intervals. The most obvious difference between the experimental results is that the sediment thickness propagated along the downstream is in the experiment where the depth of the breach is high.
  • Conference Object
    Citation - WoS: 1
    Investigation of the Effect of Using Geogrids on the Performance of the Road in Pavements Constructed With Reduced Layer Thicknesses
    (Crc Press-taylor & Francis Group, 2024) Terzi, S.; Saltan, M.; Gokova, S.; Erkmen, F.; Tutumluer, E.; Karasahin, M.; Yalcin, E.
    In this study, the structural performance of road pavements with reduced layer thicknesses at different rates using geogrids was examined, and the benefits of geogrids in preventing rutting were investigated. Within the scope of the study, a total of 16 test sections of 50 meters in length, 12 with geogrids and four without geogrids, were constructed on the Adana - Kozan road determined by the General Directorate of Highways of Turkey (KGM). The constructed sections were divided into two, and besides the reference sections, two types of geogrids with different geometric structures were used in successive sections. Some layer thicknesses used in the study were determined following the specification, and the other part was determined through a pavement design program. In addition, to compare the effect of using geogrids in different locations on the pavement performance in the application sections, the geogrid was used in two positions, on the subbase layer and between the base layer. Data from the load, displacement and temperature sensors placed between the layers during the construction phase and on-site Heavy Weight Deflectometer (HWD) data at certain time intervals were used to observe the structural performances of the constructed pavement sections. In addition, GPS and IRI measurements are made regularly. The traffic values of the trial section are also monitored. Examining the obtained data aims to compare the economic gain achieved by reducing the layer thicknesses, the cost to be spent for the geogrid, and to make cost-benefit analyses.
  • Article
    Citation - WoS: 4
    Citation - Scopus: 4
    Novel Electrospun-Based Extractive Probes for Rapid Determination of Clinically Important Compounds in Human Plasma
    (Elsevier B.V., 2024) Temel,E.R.; Eroğlu,A.E.; Salih,B.; Boyaci,E.
    Background: Coated blade spray (CBS) represents an innovative approach that utilizes solid-phase microextraction principles for sampling and sample preparation. When combined with ambient mass spectrometry (MS), it can also serve as an electrospray ionization source. Therefore, it became a promising tool in analytical applications as it can significantly reduce the analysis time. However, the current CBS coatings are based on the immobilization of extractive particles in bulk polymeric glue, which constrains the diffusion of the analytes to reach the extractive phase; therefore, the full reward of the system cannot be taken at pre-equilibrium. This has sparked the notion of developing new CBS probes that exhibit enhanced kinetics. Results: With this aim, to generate a new extractive phase with improved extraction kinetics, poly(divinylbenzene) (PDVB) nanoparticles were synthesized by mini-emulsion polymerization and then immobilized into sub-micrometer (in diameter) sized polyacrylonitrile fibers which were obtained by electrospinning method. Following the optimization and characterization studies, the electrospun-coated blades were used to determine cholesterol, testosterone, and progesterone in plasma spots using the CBS-MS approach. For testosterone and progesterone, 10 ng mL−1 limits of quantification could be obtained, which was 200 ng mL−1 for cholesterol in spot-sized samples without including any pre-treatment steps to samples prior to extraction. Significance: The comparison of the initial kinetics for dip-coated and electrospun-coated CBS probes proved that the electrospinning process could enhance the extraction kinetics; therefore, it can be used for more sensitive analyses. The total analysis time with this method, from sample preparation to instrumental analysis, takes only 7 min, which suggests that the new probes are promising for fast diagnostic applications. © 2024 Elsevier B.V.
  • Article
    Citation - WoS: 10
    Citation - Scopus: 11
    Arabinoxylan-Based Psyllium Seed Hydrocolloid: Single-Step Aqueous Extraction and Use in Tissue Engineering
    (Elsevier B.V., 2024) Yildirim-Semerci,Ö.; Bilginer-Kartal,R.; Arslan-Yildiz,A.
    Biomacromolecules derived from natural sources offer superior biocompatibility, biodegradability, and water-holding capacity, which make them promising scaffolds for tissue engineering. Psyllium seed has gained attention in biomedical applications recently due to its gel-forming ability, which is provided by its polysaccharide-rich content consisting mostly of arabinoxylan. This study focuses on the extraction and gelation of Psyllium seed hydrocolloid (PSH) in a single-step water-based protocol, and scaffold fabrication using freeze-drying method. After characterization of the scaffold, including morphological, mechanical, swelling, and protein adsorption analyses, 3D cell culture studies were done using NIH-3 T3 fibroblast cells on PSH scaffold, and cell viability was assessed using Live/Dead and Alamar Blue assays. Starting from day 1, high cell viability was obtained, and it reached 90 % at the end of 15-day culture period. Cellular morphology on PSH scaffold was monitored via SEM analysis; cellular aggregates then spheroid formation were observed throughout the study. Collagen Type-I and F-actin expressions were followed by immunostaining revealing a 9- and 10-fold increase during long-term culture. Overall, a single-step and non-toxic protocol was developed for extraction and gelation of PSH. Obtained results unveiled that PSH scaffold provided a favorable 3D microenvironment for cells, holding promise for further tissue engineering applications. © 2024 Elsevier B.V.
  • Article
    Citation - WoS: 4
    Citation - Scopus: 4
    Automating Modern Code Review Processes With Code Similarity Measurement
    (Elsevier B.V., 2024) Kartal,Y.; Akdeniz,E.K.; Özkan,K.
    Context: Modern code review is a critical component in software development processes, as it ensures security, detects errors early and improves code quality. However, manual reviews can be time-consuming and unreliable. Automated code review can address these issues. Although deep-learning methods have been used to recommend code review comments, they are expensive to train and employ. Instead, information retrieval (IR)-based methods for automatic code review are showing promising results in efficiency, effectiveness, and flexibility. Objective: Our main objective is to determine the optimal combination of the vectorization method and similarity to measure what gives the best results in an automatic code review, thereby improving the performance of IR-based methods. Method: Specifically, we investigate different vectorization methods (Word2Vec, Doc2Vec, Code2Vec, and Transformer) that differ from previous research (TF-IDF and Bag-of-Words), and similarity measures (Cosine, Euclidean, and Manhattan) to capture the semantic similarities between code texts. We evaluate the performance of these methods using standard metrics, such as Blue, Meteor, and Rouge-L, and include the run-time of the models in our results. Results: Our results demonstrate that the Transformer model outperforms the state-of-the-art method in all standard metrics and similarity measurements, achieving a 19.1% improvement in providing exact matches and a 6.2% improvement in recommending reviews closer to human reviews. Conclusion: Our findings suggest that the Transformer model is a highly effective and efficient approach for recommending code review comments that closely resemble those written by humans, providing valuable insight for developing more efficient and effective automated code review systems. © 2024 Elsevier B.V.
  • Article
    Citation - WoS: 1
    Improving the Stability of Ink-Jet Printed Red Qleds by Optimizing the Device Fabrication Process
    (Eurasia Acad Publ Group (eapg), 2024) Diker, Halide; Unluturk, Secil Sevim; Ozcelik, Serdar; Varlikli, Canan
    Red-light emitting Cadmium Sulfide 0.8 Selenide 0.2 /Zinc Sulfide (CdS (0.8) Se (0.2) /ZnS) based quantum dots (QDs) were synthesized by hot injection method and utilized as the emissive layer in the quantum dot light emitting diode (QLED) with the device structure of Indium Tin Oxide/Poly(3,4-ethylenedioxythiophene): Polystyrene Sulfonate / Polyvinylcarbazole(or Poly(N,N '-bis-4-butylphenyl-N,N '-bisphenyl)benzidin) /QD/ZincOxide/LithiumFluoride/ Aluminum [ ITO/ PEDOT: PSS/ PVK(or p-TPD )/QD/ZnO/LiF/Al]. QD inks were formulated and prepared octane: decane; (1/1, v/v) solvent system and mixed with the nonionic surfactant, TritonX-100, to make the QD inks inkjet printable. In addition to the inkjet printing technique, spin coating was also employed to form the QD emissive layer for comparing device performance. Compared to the p-TPD-based QLED device, the PVK-based device fabricated via spin coating exhibited similar to 6 -fold higher performance in terms of luminance and efficiency values. In the case of using the ink -jet printer, similar to 2 -fold higher maximum luminance value and slightly lower external quantum efficiency at the lower current density region were obtained in the p-TPD-based device. Furthermore, compared to the PVK layer, the p-TPD layer provided higher device stability regardless of the coating method the higher current density regions. We suggest that the coating method applied and the choice of hole transport layer (HTL) materials may control the device parameters.