PubMed İndeksli Yayınlar Koleksiyonu / PubMed Indexed Publications Collections

Permanent URI for this collectionhttps://hdl.handle.net/20.500.13091/5

Browse

Now showing 1 - 20 of 80

Adaptation and Validation of the Post-Pandemic Health Promotion Behavior of Young Adults in the Digital Age (ps-Sgd) Scale in the Turkish Population
(MDPI, 2024) Koç, Mustafa Can; Yıldırım, Elif; Özdurak Singin, Rabia Hürrem; Talaghir, Laurentiu-Gabriel; Iconomescu, Teodora Mihaela; Karakaş, Neşe
Background: Young adulthood is a critical developmental period in which individuals establish life-long health behaviors and take responsibility for their own health care. Health promotion strategies tailored to young adults, leveraging digital tools, and addressing challenges exacerbated by events like the COVID-19 pandemic are needed. The aim of this study was to adapt the post-pandemic health promotion behavior of young adults in the digital age (PS-SGD) scale to the Turkish population in order to assess and compare the health behavior of young adults after the pandemic. Methods: A total of 312 participants, aged between 19 and 29 years, were included in the study via non-probabilistic criterion sampling, while the Turkish adaptation process started with translation and back translation methods performed with three language and two health science experts. For statistical analysis, EFA and CFA were conducted to evaluate internal consistency and structural validity. Confirmatory factor analysis was utilized to confirm the structure of the six sub-dimensions. Additionally, measurement invariance was examined regarding participants' gender to determine if the scale accurately captured similar traits across diverse groups. The relationship between the test-retest data was tested by Pearson correlation to measure consistency and its invariance over time. Results: The gender distribution of the sample was found to be 61.3% female and 38.7% male. According to the results of EFA, items 8 and 18 were removed from the Turkish-adapted version. As a result of the reliability analysis conducted with the Turkish version of the scale, the Cronbach alpha coefficient was obtained as 0.851 for the post-pandemic health promotion behavior. Additionally, the scale was rated as reliable with the following Cronbach alpha values: 0.79 for the personal hygiene, 0.78 for dietary habits, 0.72 for using mobile devices, 0.70 for emotional health, 0.68 for health care and physical activity, and 0.51 for social health sub-dimensions. To examine the six sub-dimension factor structures of the scale, fit indices were calculated as chi 2/df (1.722), GFI (0.894), IFI (0.908), TLI (0.892), CFI (0.907), RMSEA (0.048), and SRMR (0.057) and were within acceptable limits. Findings of the multi-group confirmatory factor analysis for measurement invariance were less than or equal to 0.01 for the triangle CFI and triangle RMSEA values across all indices. Consequently, it was observed that the item-factor structure, factor loadings, variances, covariances, and error variances of the scale were equivalent for both male and female young adults, while test-retest results showed a high positive correlation. Conclusions: The Turkish version of the post-pandemic health promotion behavior scale of young adults in the digital age scale, consisting of 25 items and six subscales, was proven to be a valid and reliable tool to measure health promotion behavior in young adults aged 19-29 years.
Citation - WoS: 25
Citation - Scopus: 29
Aerogels as Promising Materials for Antibacterial Applications: a Mini-Review
(ROYAL SOC CHEMISTRY, 2021) Kaya Güzel, Gülcihan; Aznar, Elena; Deveci, Hüseyin; Martinez-Manez, Ramon
The increasing cases of bacterial infections originating from resistant bacteria are a serious problem globally and many approaches have been developed for different purposes to treat bacterial infections. Aerogels are a novel class of smart porous materials composed of three-dimensional networks. Recently, aerogels with the advantages of ultra-low density, high porosity, tunable particle and pore sizes, and biocompatibility have been regarded as promising carriers for the design of delivery systems. Recently, aerogels have also been provided with antibacterial activity through loading of antibacterial agents, incorporation of metal/metal oxides and via surface functionalization and coating with various functional groups. In this mini-review, the synthesis of aerogels from both conventional and low-cost precursors is reported and examples of aerogels displaying antibacterial properties are summarized. As a result, it is clear that the encouraging antibacterial performance of aerogels promotes their use in many antibacterial applications, especially in the food industry, pharmaceutics and medicine.
Citation - WoS: 2
Citation - Scopus: 3
Alternative Green Application Areas for Olive Pomace Catalytic Pyrolysis Biochar Obtained Via Marble Sludge Catalyst
(Springer, 2024) Göktepeli, Gamze; Özgan, Afra; Önen, Vildan; Ahmetli, Gülnare; Kalem, Merve; Yel, Esra
Evaluating industrial wastes in the system with minimum preprocessing and generation economically valuable products from them have critical importance. In this regard, especially cheap, wieldy, and readily available catalysts have been researched to increase variety of useful products in pyrolysis systems, to reduce process time, and to increase quality and diversity of products. Therefore, in this study, marble sludge (named K1) was evaluated as catalyst at different dosages (10%, 20%, 30%, 50%) and pyrolysis temperatures (300, 500, 700 degrees C) in olive pomace (OP) pyrolysis and; the potential green applications of produced new biochars at new usage areas with different purposes based on characteristics were investigated. ANOVA test results showed that temperature and catalysts ratio had significant effect on pyrolysis product yields since significance value for K1 and temperature was lower than 0.05 for pyrolysis products. OP-K1 biochars had alkaline properties and high earth metal quantities. Moreover, increment in K1 ratio and temperature resulted in decrement of the biochar surface acidity. Therefore, it can be indicated that these biochars can have a potential usage for anaerobic digestion processes, lithium-ion batteries, and direct carbon solid oxide fuel cell (DC-SOFC) but further electrochemical property test should be performed. Moreover, produced biochars can be alternative fuels in some processes instead of coal since they have low S content and high heat values. Consequently, it is foreseen that produced biochars will have an important place in the development of potential usage areas with a new and environmentally friendly approach in different areas apart from the conventional uses of catalytic pyrolysis chars.
Citation - WoS: 52
Citation - Scopus: 62
Analytical Review of Geopolymer Concrete: Retrospective and Current Issues
(MDPI, 2023) Meskhi, Besarion; Beskopylny, Alexey N.; Stel'makh, Sergey A.; Shcherban, Evgenii M.; Mailyan, Levon R.; Shilov, Alexander A.; El’shaeva, Diana; Shilova, Karolina; Karalar, Memduh; Aksoylu, Ceyhun; Özkılıç, Yasin Onuralp
The concept of sustainable development provides for the search for environmentally friendly alternatives to traditional materials and technologies that would reduce the amount of CO2 emissions into the atmosphere, do not pollute the environment, and reduce energy costs and the cost of production processes. These technologies include the production of geopolymer concretes. The purpose of the study was a detailed in-depth analytical review of studies of the processes of structure formation and properties of geopolymer concretes in retrospect and the current state of the issue. Geopolymer concrete is a suitable, environmentally friendly and sustainable alternative to concrete based on ordinary Portland cement (OPC) with higher strength and deformation properties due to its more stable and denser aluminosilicate spatial microstructure. The properties and durability of geopolymer concretes depend on the composition of the mixture and the proportions of its components. A review of the mechanisms of structure formation, the main directions for the selection of compositions and processes of polymerization of geopolymer concretes has been made. The technologies of combined selection of the composition of geopolymer concrete, production of nanomodified geopolymer concrete, 3D printing of building structures from geopolymer concrete, and monitoring the state of structures using self-sensitive geopolymer concrete are considered. Geopolymer concrete with the optimal ratio of activator and binder has the best properties. Geopolymer concretes with partial replacement of OPC with aluminosilicate binder have a denser and more compact microstructure due to the formation of a large amount of calcium silicate hydrate, which provides improved strength, durability, less shrinkage, porosity and water absorption. An assessment of the potential reduction in greenhouse gas emissions from the production of geopolymer concrete compared to the production of OPC has been made. The potential of using geopolymer concretes in construction practice is assessed in detail.
The Association of Food Rejection Behaviours in Preschool Children With Compliance to the Mediterranean Diet and Their Quality of Life: A Cross-Sectional Analysis
(Cambridge Univ Press, 2025) Demir, Gulperi; Kudret, Meltem; Demir, Rabia Sena; Bagci, Sumeyya; Yildirim, Elif
Food refusal behaviours in preschool children can significantly impact their nutritional status and overall quality of life. This study investigated the relationship between food refusal behaviours, compliance with the Mediterranean diet and quality of life in preschool children. Conducted as a cross-sectional study, it included 400 children aged 4-6 years and their parents. The Child Food Rejection Scale measured food refusal behaviours, The Children's Mediterranean Diet Quality Scale (KIDMED) assessed compliance with the Mediterranean Diet and the Children Quality of Life-Questionnaire (Kiddy-KINDL) scale evaluated quality of life. The mean age of the children was 480 (sd 071) years. According to age-based BMI-Z scores, 710 % were normal, 155 % underweight, 90 % slightly overweight and 45 % obese. Parents' average age was 3465 (SD 535) years; 968 % were married, 888 % had a nuclear family structure, 580 % were university graduates and 698 % rated their income level as moderate. Girls had higher food refusal scores than boys (P < 005). Children who frequently fell ill also scored higher in food refusal (P < 005). Food refusal decreased with higher family income, larger family size and older parental age (P < 005). Parental nutrition education significantly reduced food refusal scores (P < 005). Higher KIDMED scores were associated with lower food refusal (P < 001), and children with low Kiddy-KINDL scores exhibited higher food refusal behaviours (P < 001). A positive correlation was found between KIDMED and Kiddy-KINDL scores (P < 001). No significant associations were detected between BMI Z scores and food rejection and its subscales. The findings suggest that compliance with the Mediterranean diet reduces food refusal behaviours in preschool children and increases quality of life, while low quality of life is associated with increased food refusal behaviours.
Citation - WoS: 1
Citation - Scopus: 1
Bacterial Microbiome Diversity Along Poultry Slaughtering Lines: Insights From Chicken Carcasses and Environmental Sources
(Sciendo, 2024) Telli, Arife Ezgi; Bicer, Yusuf; Telli, Nihat; Sönmez, Gonca; Turkal, Gamze; Güzel, İsmail
Introduction This study aimed to determine the bacterial diversity of chicken carcasses and their surrounding environment at various stages along a poultry slaughter line.Material and Methods Amplicon sequencing of the 16S rRNA gene was employed to assess the shifts in bacterial community diversity at both phylum and genus levels. Samples were collected from September to November 2021, targeting carcass surfaces at various operational stages (post-defeathering, post-evisceration, post-water chilling, and post-cooling), as well as from the internal environments and air of these units. The study took place in a vertically integrated poultry slaughterhouse in Konya, Turkey.Results Microbial diversity increased after the chilling and storage stages as a result of redistribution of the microorganisms after the physical effect of the slaughtering stages. The final product sample taken after storage had the highest bacterial abundance. The abundance at this stage was found to be strongly correlated with that at other slaughtering stages, as well as with the abundance in chilling water and on the personnel's hands. The common genera in chicken carcasses during slaughter stages were Macrococcus, Acinetobacter, Enterococcus, Escherichia-Shigella, Psychrobacter, Streptococcus, Lactococcus and Ligilactobacillus. Microbiome data in environmental samples indicated that the genera in highest relative abundance were Bacillus, Anoxybacillus, Acinetobacter and Psychrobacter. In air samples, the storage room had the highest diversity and in this place Bacillus spp. and Staphylococcus spp. were in the majority.Conclusion This study may provide some useful information to pinpoint the critical contamination sources in the poultry slaughtering process.
Citation - WoS: 44
Citation - Scopus: 47
Biosorption of Methylene Blue and Malachite Green on Biodegradable Magnetic Cortaderia Selloana Flower Spikes: Modeling and Equilibrium Study
(TAYLOR & FRANCIS INC, 2021) Parlayıcı, Şerife; Pehlivan, Erol
This study involves the production of a novel biosorbent obtained fromCortaderia selloanaflower spikes (CSFs). MagneticC. selloanaflower spikes (nM infinity CSFs) was applied as an ideal biosorbent for the elimination of dyes from water. They were utilized for the removal from aqueous solutions of malachite green (MG) and methylene blue (MB) dyes. The analyses of the equilibrium were done under certain experimental parameters such as contact time, initial dye concentration, pH, and quantity of biosorbent. The rapid intake of dyes to reach the equilibrium in a short period time showed the effectiveness of nM infinity CSFs to adsorb MG and MB. The experimental information of MB and MG was obtained from the Langmuir model and it confirmed the magnificent dye biosorption ability; 72.99 mg/g for CSFs/MB, 119.05 mg/g for nM infinity CSFs/MB, 31.06 mg/g for CSFs/MG, and 56.50 mg/g for nM infinity CSFs/MG. Langmuir's model affirmed the excellent dye biosorption ability. The pseudo-second-order kinetic model displayed a great fit to the experimental result for the removal of MG and MB. The nM infinity CSFs compared with raw biosorbent affirmed that the magnetic form of the biosorbent has a greater removal ability for MB and MG. nM infinity CSFs is a noteworthy biosorbent for MB and MG removal from wastewater. [GRAPHICS] HIGHLIGHTS Magnetic Cortaderia selloana flower spikes (nM1CSFs) was synthesized for the biosorption of dyes FT-IR and SEM analysis were used for characterization. The Langmuir isotherm model fitted the data of the adsorption for nM1CSFs nM1CSFs is a noteworthy biosorbent for MB and MG removal from wastewater.
Citation - WoS: 36
Citation - Scopus: 40
Buckling Analysis of Cnt-Reinforced Polymer Composite Beam Using Experimental and Analytical Methods
(MDPI, 2023) Madenci, Emrah; Özkılıç, Yasin Onuralp; Aksoylu, Ceyhun; Asyraf, Muhammad Rizal Muhammad; Syamsir, Agusril; Supian, Abu Bakar Mohd; Mamaev, Nicolay
The aim of this article was to investigate the effect of carbon nanotubes (CNTs) on the buckling behavior of fiber-reinforced polymer (FRP) composites. The materials used included three layers: carbon-fiber-reinforced polymer (CFRP), epoxy and CNTs. A set of mechanical tests, such as compression and buckling tests, was performed, and also analytical solutions were developed. Damage analysis was also carried out by controlling the damage initiation and crack progression on the composite samples. Experimental results revealed that using 0.3% with CNT additives enhanced the buckling performance of the composite. Finally, the average load-carrying capacity for the clamped-clamped boundary condition was 268% higher in the CNT samples and 282% higher in the NEAT samples compared to the simple-simple condition.
Citation - WoS: 2
Citation - Scopus: 2
Calixarene-Based Functional Fabric for Simultaneously Adsorptive Removal of Anionic and Cationic Dyes
(Amer Chemical Soc, 2025) Ozcelik, Egemen; Tabakci, Begum; Karaman, Mustafa; Tabakci, Mustafa
This study investigated the adsorptive properties of functionalized fabric containing dimethylaminomethyl calix[4]arene (DMAM-Calix) to remove anionic methyl orange (MO) and cationic Rhodamine B (RhB) dyes in aqueous media. Adsorption studies were performed using a filtration system packed with DMAM-Calix-functionalized fabric (DCF). The results revealed that the cationic and anionic structures work compatibly in a binary mixture medium. Hydrogen bonding, pi-pi, cation-pi, n-pi and electrostatic interactions between dye molecules and DMAM-Calix units of DCF were the main factors affecting the adsorption process. Experiments on real wastewater samples of unknown composition confirmed that the approach could successfully remove MO and RhB dyes from real water samples with high efficiency, especially for RhB. Isotherm and kinetic data for MO were mainly represented by the Langmuir model and pseudo-second-order kinetic model, respectively. The adsorption capacities of DCF were found to be about 4.7 mg g-1 for MO and 1.0 mg g-1 for RhB at pH 6.0, which were evaluated as satisfactory considering the first use of a calixarene-derived coated fabric as an adsorbent, the anionic-cationic dye selectivity of DCF, and the low cost and ease of application of the method.
Carbon Nanotube-Supported Bimetallic Core-Shell (m@pd/Cnt (m: Zn, Mn, Ag, Co, V, Ni)) Cathode Catalysts for H2o2 Fuel Cells
(AMER CHEMICAL SOC, 2023) Yapıcı, Burak; Gökdoğan Şahin, Özlem
M@Pd/CNT (M: Zn, Mn, Ag, Co, V, Ni) core-shell and Pd/CNT nanoparticles were prepared by sodium borohydride reduction and explored as cathode catalysts for the hydrogen peroxide reduction reaction. Electrochemical and physical characterization techniques are applied to explore the characteristics of the produced electrocatalysts. The cyclic voltammetry (CV) experiments show that Zn@Pd/CNT-modified electrodes have a current density of 273.2 mA cm(-2), which is 3.95 times higher than that of Pd/CNT. According to the chronoamperometric curves, Zn@Pd/CNT has the highest steady-state current density for the H2O2 electro-reduction process among the synthesized electrocatalysts. Moreover, electrochemical impedance spectroscopy (EIS) spectra confirmed the previous electrochemical results due to the lowest charge transfer resistance (35 Omega) with respect to other electrocatalysts.
Citation - WoS: 5
Citation - Scopus: 5
Catalytic Effect of Nickel Oxide Nanoparticles From Lupinus Albus Extract on Green Synthesis and Photocatalytic Reduction of Methylene Blue: Kinetics and Mechanism
(Taylor & Francis Inc, 2024) Yılmaz, Mine; Ceyhan, A. Abdullah; Baytar, Orhan
Green synthesis of nanomaterials is advancing due to their ease of synthesis, cheapness, nontoxicity, and renewability. An environmentally friendly biogenic method has been developed for the green synthesis of nickel oxide nanoparticles (NiO NPs) using phytochemical-rich bioextract. They are rich in bioextract phenolics, flavonoids, and berberine. These phytochemicals successfully reduce and stabilize NiNO3 into NiO NPs. In this study, NiO NPs were synthesized by the green synthesis method from Lupinus Albus. Characterization of NiO NPs was carried out by TEM, XRD, SEM, UV, XRF, BET, and EDX analyses. According to XRD analysis, TEM results also support this, where the NiO NPs particle size diameter is 5 nm. It was determined by the Tauc equation that the band energy gap of NiO NPs is 1.69 eV. It was determined that the BET surface area of NiO NPs was 49.6 m2/g. NiO nanoparticles synthesized from Lupinus Albus extract by the green synthesis method were used as catalysts in the photocatalytic reduction of methylene blue with NaBH4. In the photocatalytic reduction of methylene blue with NaBH4, it was determined that there was no color change in 48 h without a catalyst, and in the presence of NiO nanoparticle catalyst, methylene blue was reduced by 97% in 8 min. The kinetics of the photocatalytic reduction of methylene blue with NaBH4 is a pseudo-first-order kinetic model and the kinetic rate constant is determined as 0.66 min-1, indicating that the catalytic effect of NiO NPs is very high at this value. NiO NPs were used five times in the photocatalytic reduction of methylene blue with NaBH4 and it was determined that the reduction of methylene blue was over 90% in each use. NiO nanoparticles were synthesized from Lupinus Albus extract by green synthesis, which is an easily applied, cost-effective, and environmentally friendly method. The synthesized NiO nanoparticles were characterized using various characterization techniques. NiO nanoparticles have a high catalytic effect in the photocatalytic reduction of methylene blue with NaBH4. Photocatalytic reduction of methylene blue with uncatalyzed NaBH4 could not be achieved, and 97% reduction of methylene blue was completed in 8 min in the presence of NiO nanoparticle catalyst.
Citation - WoS: 12
Citation - Scopus: 16
Characterization of Polysaccharide Extracts of Four Edible Mushrooms and Determination of in Vitro Antioxidant, Enzyme Inhibition and Anticancer Activities
(Amer Chemical Soc, 2024) Deveci, Ebru; Tel-Cayan, Gülsen; Cayan, Fatih; Altinok, Bahar Yilmaz; Aktaş, Sinan
Mushroom polysaccharides are important bioactive compounds derived from mushrooms with various beneficial properties. In this study, the chemical characterization and bioactivities of polysaccharide extracts from four different edible mushrooms, Clavariadelphus truncatus Donk, Craterellus tubaeformis (Fr.) Quel., Hygrophorus pudorinus (Fr.) Fr., and Macrolepiota procera (Scop.) Singer were studied. Glucose (13.24-56.02%), galactose (14.18-64.05%), mannose (2.18-18.13%), fucose (1.21-5.78%), and arabinose (0.04-5.43%) were identified in all polysaccharide extracts by GC-MS (gas chromatography-mass spectrometry). FT-IR (Fourier transform infrared spectroscopy) confirmed the presence of characteristic carbohydrate patterns. H-1 NMR suggested that all polysaccharide extracts had alpha- and beta-d-mannopyranose, d-glucopyranose, d-galactopyranose, alpha-l-arabinofuranose, and alpha-l-fucopyranose residues. Approximate molecular weights of polysaccharide extracts were determined by HPLC (high-performance liquid chromatography). The best antioxidant activity was found in M. procera polysaccharide extract in DPPH center dot (1,1-diphenyl-2-picrylhydrazyl) scavenging (39.03% at 800 mu g/mL), CUPRAC (cupric reducing antioxidant capacity) (A(0.50): 387.50 mu g/mL), and PRAP (phosphomolybdenum reducing antioxidant power) (A(0.50): 384.08 mu g/mL) assays. C. truncatus polysaccharide extract showed the highest antioxidant activity in ABTS(center dot+) scavenging (IC50: 734.09 mu g/mL), beta-carotene-linoleic acid (IC50: 472.16 mu g/mL), and iron chelating (IC50: 180.35 mu g/mL) assays. Significant anticancer activity was found in C. truncatus polysaccharide extract on HT-29 (IC50: 46.49 mu g/mL) and HepG2 (IC50: 48.50 mu g/mL) cell lines and H. pudorinus polysaccharide extract on the HeLa cell line (IC50: 51.64 mu g/mL). Also, H. pudorinus polysaccharide extract possessed prominent AChE (acetylcholinesterase) inhibition activity (49.14% at 200 mu g/mL).
Citation - WoS: 2
Citation - Scopus: 2
Chitosan-Coated Black Sesame (sesamum Indicum L.) Seed Pulp as a Novel Candidate Adsorbent for Cr(vi) Elimination
(IWA PUBLISHING, 2019) Parlayıcı, Şerife; Tuna, Kübra; Özdemir, Elif; Pehlivan, Erol
This study evaluates the application of Cr(VI) adsorption from the prepared synthetic solution by black sesame (Sesamum indicum L.) seed pulp (BSSP) and chitosan (Cts)-coated black sesame seed pulp beads (Cts-BSSP). BSSP and Cts-BSSP were used as an adsorbent without any chemical or physical treatment to remove Cr(VI) from an aqueous medium. The results indicated that the Cr(VI) removal was pH-dependent and reached an optimum at pH 2.0. It has been observed that the percentage of adsorption increased from 62% to 95% when the amount of Cts-BSSP increased from 0.0125 g to 0.0250 g. The required adsorbent amount for the maximum removal was 0.05 g and 0.1 g for Cst-BSSP and BSSP, respectively. The contact time for the adsorption was 120 min and 90 min for BSSP and Cst-BSSP, respectively. Scanning electron microscopy and Fourier transform infrared spectroscopy were used to explore the possible adsorption mechanism for Cr(VI). The equilibrium data for the BSSP and Cts-BSSP were used with the Langmuir and Freundlich adsorption isotherm models to assess the adsorption capacity and relevant mechanism. The adsorption capacity of the Cts-BSSP for Cr(VI) is relatively high compared to BSSP. The monolayer maximum adsorption capacities for Cr(VI) ions were 31.44 and 18.32 mg/g for Cts-BSSP and BSSP, respectively.
Citation - WoS: 67
Citation - Scopus: 108
Classification of Coronavirus (covid-19) Fromx-Rayandctimages Using Shrunken Features
(WILEY, 2021) Öztürk, Şaban; Özkaya, Umut; Barstuğan, Mücahid
Necessary screenings must be performed to control the spread of the COVID-19 in daily life and to make a preliminary diagnosis of suspicious cases. The long duration of pathological laboratory tests and the suspicious test results led the researchers to focus on different fields. Fast and accurate diagnoses are essential for effective interventions for COVID-19. The information obtained by using X-ray and Computed Tomography (CT) images is vital in making clinical diagnoses. Therefore it is aimed to develop a machine learning method for the detection of viral epidemics by analyzing X-ray and CT images. In this study, images belonging to six situations, including coronavirus images, are classified using a two-stage data enhancement approach. Since the number of images in the dataset is deficient and unbalanced, a shallow image augmentation approach was used in the first phase. It is more convenient to analyze these images with hand-crafted feature extraction methods because the dataset newly created is still insufficient to train a deep architecture. Therefore, the Synthetic minority over-sampling technique algorithm is the second data enhancement step of this study. Finally, the feature vector is reduced in size by using a stacked auto-encoder and principal component analysis methods to remove interconnected features in the feature vector. According to the obtained results, it is seen that the proposed method has leveraging performance, especially to make the diagnosis of COVID-19 in a short time and effectively. Also, it is thought to be a source of inspiration for future studies for deficient and unbalanced datasets.
Citation - WoS: 34
Citation - Scopus: 49
Combined Searches for the Production of Supersymmetric Top Quark Partners in Proton-Proton Collisions at Root S=13 Tev
(SPRINGER, 2021) Tumasyan, A.; Adam, W.; Andrejkovic, J. W.; Bergauer, T.; Chatterjee, S.; Dragicevic, M.; Vetens, W.; Gürpınar Güler, Emine; Güler, Yalçın; The CMS Collaboration
A combination of searches for top squark pair production using proton-proton collision data at a center-of-mass energy of 13 TeV at the CERN LHC, corresponding to an integrated luminosity of 137 fb(-1) collected by the CMS experiment, is presented. Signatures with at least 2 jets and large missing transverse momentum are categorized into events with 0, 1, or 2 leptons. New results for regions of parameter space where the kinematical properties of top squark pair production and top quark pair production are very similar are presented. Depending on themodel, the combined result excludes a top squarkmass up to 1325 GeV for amassless neutralino, and a neutralinomass up to 700 GeV for a top squarkmass of 1150 GeV. Top squarks with masses from 145 to 295 GeV, for neutralino masses from 0 to 100 GeV, with a mass difference between the top squark and the neutralino in a window of 30 GeV around the mass of the top quark, are excluded for the first time with CMS data. The results of theses searches are also interpreted in an alternative signal model of dark matter production via a spin-0 mediator in association with a top quark pair. Upper limits are set on the cross section for mediator particle masses of up to 420 GeV.
Citation - WoS: 7
Citation - Scopus: 12
A Comprehensive Study of Brain Tumour Discrimination Using Phase Combinations, Feature Rankings, and Hybridised Classifiers
(SPRINGER HEIDELBERG, 2020) Koyuncu, Hasan; Barstuğan, Mücahid; Öziç, Muhammet Üsame
The binary categorisation of brain tumours is challenging owing to the complexities of tumours. These challenges arise because of the diversities between shape, size, and intensity features for identical types of tumours. Accordingly, framework designs should be optimised for two phenomena: feature analyses and classification. Based on the challenges and difficulty of the issue, limited information or studies exist that consider the binary classification of three-dimensional (3D) brain tumours. In this paper, the discrimination of high-grade glioma (HGG) and low-grade glioma (LGG) is accomplished by designing various frameworks based on 3D magnetic resonance imaging (3D MRI) data. Accordingly, diverse phase combinations, feature-ranking approaches, and hybrid classifiers are integrated. Feature analyses are performed to achieve remarkable performance using first-order statistics (FOS) by examining different phase combinations near the usage of single phases (T1c, FLAIR, T1, and T2) and by considering five feature-ranking approaches (Bhattacharyya, Entropy, Roc,ttest, and Wilcoxon) to detect the appropriate input to the classifier. Hybrid classifiers based on neural networks (NN) are considered due to their robustness and superiority with medical pattern classification. In this study, state-of-the-art optimisation methods are used to form the hybrid classifiers: dynamic weight particle swarm optimisation (DW-PSO), chaotic dynamic weight particle swarm optimisation (CDW-PSO), and Gauss-map-based chaotic particle-swarm optimisation (GM-CPSO). The integrated frameworks, including DW-PSO-NN, CDW-PSO-NN, and GM-CPSO-NN, are evaluated on the BraTS 2017 challenge dataset involving 210 HGG and 75 LGG samples. The 2-fold cross-validation test method and seven metrics (accuracy, AUC, sensitivity, specificity, g-mean, precision, f-measure) are processed to evaluate the performance of frameworks efficiently. In experiments, the most effective framework is provided that uses FOS, data including three phase combinations, the Wilcoxon feature-ranking approach, and the GM-CPSO-NN method. Consequently, our framework achieved remarkable scores of 90.18% (accuracy), 85.62% (AUC), 95.24% (sensitivity), 76% (specificity), 85.08% (g-mean), 91.74% (precision), and 93.46% (f-measure) for HGG/LGG discrimination of 3D brain MRI data.
Citation - WoS: 7
Citation - Scopus: 5
Constraints on Anomalous Higgs Boson Couplings From Its Production and Decay Using the Ww Channel in Proton-Proton Collisions at √s=13 Tev
(Springer, 2024) Hayrapetyan, A.; Tumasyan, A.; Adam, W.; Andrejkovic, J. W.; Bergauer, T.; Chatterjee, S.; Zhokin, A.
A study of the anomalous couplings of the Higgs boson to vector bosons, including CP-violation effects, has been conducted using its production and decay in the WW channel. This analysis is performed on proton-proton collision data collected with the CMS detector at the CERN LHC during 2016-2018 at a center-of-mass energy of 13 TeV, and corresponds to an integrated luminosity of 138 fb(-1). The different-flavor dilepton (e mu) final state is analyzed, with dedicated categories targeting gluon fusion, electroweak vector boson fusion, and associated production with a W or Z boson. Kinematic information from associated jets is combined using matrix element techniques to increase the sensitivity to anomalous effects at the production vertex. A simultaneous measurement of four Higgs boson couplings to electroweak vector bosons is performed in the framework of a standard model effective field theory. All measurements are consistent with the expectations for the standard model Higgs boson and constraints are set on the fractional contribution of the anomalous couplings to the Higgs boson production cross section.
Citation - WoS: 9
Citation - Scopus: 14
Covid-19 Discrimination Framework for X-Ray Images by Considering Radiomics, Selective Information, Feature Ranking, and a Novel Hybrid Classifier
(ELSEVIER, 2021) Koyuncu, Hasan; Barstuğan, Mücahid
In medical imaging procedures for the detection of coronavirus, apart from medical tests, approval of diagnosis has special significance. Imaging procedures are also useful for detecting the damage caused by COVID-19. Chest X-ray imaging is frequently used to diagnose COVID-19 and different pneumonias. This paper presents a task-specific framework to detect coronavirus in X-ray images. Binary classification of three different labels (healthy, bacterial pneumonia, and COVID-19) was performed on two differentiated data sets in which corona is stated as positive. First-order statistics, gray level co-occurrence matrix, gray level run length matrix, and gray level size zone matrix were analyzed to form fifteen sub-data sets and to ascertain the necessary radiomics. Two normalization methods are compared to make the data meaningful. Furthermore, five feature ranking approaches (Bhattacharyya, entropy, Roc, t-test, and Wilcoxon) are mentioned to provide necessary information to a state-of-the-art classifier based on Gauss-map-based chaotic particle swarm optimization and neural networks. The proposed framework was designed according to the analyses about radiomics, normalization approaches, and filter-based feature ranking methods. In experiments, seven metrics were evaluated to objectively determine the results: accuracy, area under the receiver operating characteristic (ROC) curve, sensitivity, specificity, g-mean, precision, and f-measure. The proposed framework showed promising scores on two X-ray-based data sets, especially with the accuracy and area under the ROC curve rates exceeding 99% for the classification of coronavirus vs. others.
Citation - WoS: 17
Citation - Scopus: 20
Creep Properties and Analysis of Cross Arms' Materials and Structures in Latticed Transmission Towers: Current Progress and Future Perspectives
(MDPI, 2023) Asyraf, Muhammad Rizal Muhammad; Rafidah, Mazlan; Madenci, Emrah; Özkılıç, Yasin Onuralp; Aksoylu, Ceyhun; Razman, Muhammad Rizal; Ramli, Zuliskandar
Fibre-reinforced polymer (FRP) composites have been selected as an alternative to conventional wooden timber cross arms. The advantages of FRP composites include a high strength-to-weight ratio, lightweight, ease of production, as well as optimal mechanical performance. Since a non-conductive cross arm structure is exposed to constant loading for a very long time, creep is one of the main factors that cause structural failure. In this state, the structure experiences creep deformation, which can result in serviceability problems, stress redistribution, pre-stress loss, and the failure of structural elements. These issues can be resolved by assessing the creep trends and properties of the structure, which can forecast its serviceability and long-term mechanical performance. Hence, the principles, approaches, and characteristics of creep are used to comprehend and analyse the behaviour of wood and composite cantilever structures under long-term loads. The development of appropriate creep methods and approaches to non-conductive cross arm construction is given particular attention in this literature review, including suitable mitigation strategies such as sleeve installation, the addition of bracing systems, and the inclusion of cross arm beams in the core structure. Thus, this article delivers a state-of-the-art review of creep properties, as well as an analysis of non-conductive cross arm structures using experimental approaches. Additionally, this review highlights future developments and progress in cross arm studies.
Citation - WoS: 1
Citation - Scopus: 1
A Cutting-Edge Multilayer Nanofiber Wound Dressing: Design, Synthesis, and Investigation for Enhanced Wound Healing in Vitro and in Vivo
(John Wiley and Sons Inc, 2025) Bilgiseven, I.M.; Deveci, I.; Kismet, K.; Karakurt, S.
Wounds, disruptions in normal anatomy, are classified as acute or chronic. The choice of wound treatment relies significantly on dressing materials. Electrospun nanofibrous materials offer promising applications in wound healing, featuring a substantial surface area, close mimicry of the natural extracellular matrix, and adjustable water resistance, air permeability, and drug release. This research endeavors to formulate an innovative three-layered nanofibrous wound dressing using the electrospinning technique with the primary objectives of enhancing patient well-being, exhibiting antimicrobial characteristics, and expediting wound healing. The designed dressing comprises nanofibers of polyurethane (PU), quercetin (Q)-loaded polyethylene glycol (PEG), polyvinyl alcohol (PVA), and gelatin. Characterization of individual layers and the integrated wound dressing was conducted through SEM and FT-IR analyses. The efficacy of the nanofibrous wound dressing was assessed through in vitro human cell culture and in vivo rat wound models. The anti-toxic effects of nanofiber wound dressing on human epithelial and keratin cells have been proven. In vitro wound models in 24-well plates were utilized to assess the impact on wound healing rates. Photographic documentation of wound closure was performed at the different treatment hours, revealing complete closure of the wounds by the end of the 48th hour. Rats with 2 × 1 cm wounds were treated with the nanofibrous dressings, and wound healing progress was observed over a 14-day period. qRT-PCR was employed to analyze MMP-9, TIMP1, COL1A1, PDGFA, and VEGFC mRNA expressions. With its contemporary design surpassing existing treatments, the nanofiber wound dressing stands out for its wound-healing acceleration and antibacterial properties. © 2025 Wiley Periodicals LLC.

Browse

Browsing PubMed İndeksli Yayınlar Koleksiyonu / PubMed Indexed Publications Collections by WoS Q "Q2"