PubMed İndeksli Yayınlar Koleksiyonu / PubMed Indexed Publications Collections

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

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Assessment of Accumulation, Spatial Distribution and Sources of Potentially Toxic Elements (PTEs) in Sediments of a Saline Lake
(Taylor & Francis Inc, 2025) Huseyinca, Mehmet Yavuz; Kupeli, Suayip
Potentially Toxic Elements (PTEs) are hazardous for human and ecosystem health due to their non-biodegradable nature. In this study we investigated the concentrations of PTEs, including As, Co, Cr, Cu, Mn, Mo, Ni, Pb and V in sediments of Lake Tuz around the salt pans for possible contamination. Lake Tuz is a shallow saline lake where halite (table salt) production is carried out in the salt pans and has significant geo and eco-tourism potential due to its unique ecosystem and natural beauty. The extent of pollution level and ecological risk were evaluated by geochemical indices and guideline values. According to the Geoaccumulation Index (Igeo), Enrichment Factor (EF) and Contamination Factor (Cf) indices Cr, Mo, As and occasionally Ni accumulated in moderate to strong levels. Intensity maps of Pollution Load Index (PLI) and Modified Degree of Contamination (mCdeg) indicated pollution hotspots in the neck region and in the eastern shore of the lake respectively. The Potential Ecological Risk Index (PERI) values indicated low and moderate levels of ecological risk. Statistical analyses including Pearson Correlation Coefficient (PCC), Hierarchical Cluster Analysis (HCA) and Principal Component Analysis (PCA) suggested that Co, Cr, Cu, Mn, Mo, Ni and V are of geogenic origin and As and Pb are of anthropogenic origin. Provenance analysis suggested that host rocks for geogenic PTEs were granodiorites and ophiolites situated in the catchment area of the lake. Anthropogenic PTEs were most likely related to agrochemicals used in surrounding farmlands.
Citation - WoS: 2
Citation - Scopus: 3
Assessment of University Students' Earthquake Coping Strategies Using Artificial Intelligence Methods
(Nature Portfolio, 2025) Sulak, Suleyman Alpaslan; Koklu, Nigmet
Earthquakes are one of the most destructive natural disasters that pose a serious threat to human life and infrastructure worldwide. The aim of this study is to evaluate the coping strategies of adult individuals in Turkey regarding earthquake stress using artificial intelligence-based methods. The data was collected from 858 university students living in Turkey during January, February, and March 2024. A dataset was created using the 'Coping Scale for Earthquake Stress.' Prediction models were established using artificial intelligence algorithms such as Logistic Regression (LR), Bagging, and Random Forest (RF) based on information from 24 variables. The cross-validation method was applied during model training. The Logistic Regression algorithm achieved the highest accuracy rate of 98.60%, while the Bagging algorithm demonstrated the lowest performance with an accuracy rate of 79.95%. The Random Forest algorithm showed moderate performance with an accuracy rate of 85.89%. The findings provide important insights into the coping strategies of the community regarding earthquake stress. This study is expected to contribute significantly to areas such as disaster management, psychology, public health, and community resilience.
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
Bending Performance of Reinforced Concrete Beams With Partial Waste Glass Aggregate Replacement Assessed by Experimental, Theoretical and Digital Image Correlation Analyses
(Nature Portfolio, 2025) Ozkilic, Yasin Onuralp; Basaran, Bogachan; Aksoylu, Ceyhun; Karalar, Memduh; Zeybek, Ozer; Althaqafi, Essam; Umiye, Osman Ahmed
This study examines the usage of waste glass aggregate (WGA) for the consumption of sustainable reinforced concrete regarding the replacement of fine aggregate (FA) and coarse aggregate (CA). For this purpose, a series of tests consisting of a total of 12 beams were carried out to explore the bending performance. The quantity of the longitudinal reinforcement section area and WGA percentage were selected as the prime variables. For this purpose, the aggregate was swapped with WGA with weight percentages of 10% and 20% for the FA and 10% and 20% for coarse aggregate. The test outcomes revealed that the crack and bending properties of the reinforced concrete beams (RCBs) were greatly affected by the section area of tension reinforcement and the percentage of the WGA. The WGA percentage might be effectively used as 20% of the partial replacement of FA. With the addition of FA to the mixture, the load-bearing capacity of RCB increases. The increase in the WGA percentage by more than 10% might cause a considerable reduction in the capacity of the RCBs, especially when the longitudinal reinforcement ratio is high. Furthermore, the digital image correlation method was used to show the cracks/micro-cracks and to define displacement in RCBs.
Co-Occurrence and Molecular Characterization of ESBL-Producing and Colistin-Resistant Escherichia Coli Isolates From Retail Raw Meat
(MDPI, 2025) Telli, Arife Ezgi; Telli, Nihat; Bicer, Yusuf; Turkal, Gamze; Yilmaz, Tahir; Ucar, Gurkan
Background: The emergence of extended-spectrum beta-lactamase (ESBL) producing and colistin-resistant Escherichia coli in retail meat poses a significant public health risk. Method: A total of 180 retail meat samples (chicken parts, internals, processed products; lamb; beef; fish) were purchased from markets and butcher shops across Turkiye. Presumptive ESBL-producing isolates were screened on chromogenic agar and phenotypically confirmed. Species identity was verified by uspA PCR, and resistance genes (blaCTX-M, blaTEM, blaOXA, blaSHV, mcr-1, mcr-2, mcr-3) were analyzed. Colistin MICs were determined by broth microdilution, while antimicrobial susceptibility of ESBL-positive isolates was assessed by disk diffusion. Results: Overall, ESBL-producing E. coli were detected in 21.7% (n = 39) of the 180 meat samples analyzed, with the highest prevalence observed in chicken parts (26/40, 65.0%) and giblets (6/10, 60%). All ESBL-E. coli isolates harbored blaCTX-M, with blaCTX-M-1 identified as the sole variant. The blaTEM gene was detected in 61.5% (24/39) of ESBL-positive E. coli isolates. Colistin resistance was identified in six isolates (15.4%), all of which carried the mcr-1 gene. Additionally, one lamb minced meat isolate harbored the mcr-2 gene. Co-occurrence analysis revealed that the most frequent resistance gene combination among ESBL-producing isolates was blaCTX-M1 + blaTEM, detected predominantly in chicken meat samples, while mcr-1 was observed only in isolates harboring single or limited resistance genes, suggesting a distinct acquisition pattern. Conclusions: A high prevalence of blaCTX-M-1 and the co-occurrence of mcr genes were detected in E. coli isolates from retail meat, particularly poultry. The detection of mcr-1/mcr-2 co-carriage in lamb meat, though rare, highlights the need for broader surveillance. These findings underscore the need for integrated monitoring and prudent antimicrobial use in food animals. The use of antibiotics as growth promoters is prohibited in T & uuml;rkiye, and therapeutic applications require a veterinary prescription; however, stronger enforcement remains essential to limit the dissemination of multidrug-resistant bacteria in the food chain.
Citation - WoS: 3
Citation - Scopus: 4
A Comprehensive Evaluation of Oversampling Techniques for Enhancing Text Classification Performance
(Nature Portfolio, 2025) Taskiran, Salimkan Fatma; Turkoglu, Bahaeddin; Kaya, Ersin; Asuroglu, Tunc
Class imbalance is a common and critical challenge in text classification tasks, where the underrepresentation of certain classes often impairs the ability of classifiers to learn minority class patterns effectively. According to the "garbage in, garbage out" principle, even high-performing models may fail when trained on skewed distributions. To address this issue, this study investigates the impact of oversampling techniques, specifically the Synthetic Minority Over-sampling Technique (SMOTE) and thirty of its variants, on two benchmark text classification datasets: TREC and Emotions. Each dataset was vectorized using the MiniLMv2 transformer model to obtain semantically rich representations, and classification was performed using six machine learning algorithms. The balanced and imbalanced scenarios were compared in terms of F1-Score and Balanced Accuracy. This work constitutes, to the best of our knowledge, the first large-scale, systematic benchmarking of SMOTE-based oversampling methods in the context of transformer-embedded text classification. Furthermore, statistical significance of the observed performance differences was validated using the Friedman test. The results provide practical insights into the selection of oversampling techniques tailored to dataset characteristics and classifier sensitivity, supporting more robust and fair learning in imbalanced natural language processing tasks.
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: 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.
Citation - WoS: 3
Citation - Scopus: 2
Effect of Hetero-Atom Doping on the Structure and Optical Properties of Carbon Quantum Dots for the Sensitive Detection of Heavy Metal Ions
(Wiley, 2025) Kurukavak, Cisem Kirbiyik; Tok, Mutahire; Toprak, Aysegul; Yurdakul, Merve; Ersoz, Mustafa
Metal pollution in water sources due to modernization is a human health and environmental problem. Therefore, the highly fluorescent boron- and nitrogen-doped and nitrogen-doped carbon quantum dots (B,N-CQDs and N-CQDs, respectively) were synthesized and investigated to be used as a fluorescence sensor for metal ion detection. In this study, the synthesized B,N-CQDs and N-CQDs had an average size of 4-6 nm and 3-4 nm, respectively. The B,N-CQDs presented high sensitivity as 0.0090, 0.0086 and 0.0091 units per micromolar for Cr3+, Cu2+ and Fe2+, respectively, whereas the N-CQDs showed sensitivity as 0.0047, 0.0102, 0.0095 and 0.0121 units per micromolar for Cr3+, Cu2+, Fe2+ and Ni2+, respectively. In the concentration range of 10-80 mu M, the detection limits of B,N-CQDs and N-CQDs were found to be in the range of 13.9-65.5 mu g/L and 14.9-38.3 mu g/L, respectively. The result of the study clearly indicates that B,N-CQDs and N-CQDs can be seen as metal ion sensing devices with high sensitivity and low cost.
Elliptic Anisotropy Measurement of the F0(980) Hadron in Proton-Lead Collisions and Evidence for Its Quark-Antiquark Composition
(Nature Portfolio, 2025) Hayrapetyan, A.; Tumasyan, A.; Adam, W.; Andrejkovic, J. W.; Bergauer, T.; Chatterjee, S.; Zhokin, A.
Despite the f(0)(980) hadron having been discovered half a century ago, the question about its quark content has not been settled: it might be an ordinary quark-antiquark (q (q) over bar) meson, a tetraquark (q (q) over barq (q) over bar) exotic state, a kaon-antikaon (K (K) over bar) molecule, or a quark-antiquark-gluon (q (q) over barg) hybrid. This paper reports strong evidence that the f(0)(980) state is an ordinary q (q) over bar meson, inferred from the scaling of elliptic anisotropies (v(2)) with the number of constituent quarks (n(q)), as empirically established using conventional hadrons in relativistic heavy ion collisions. The f(0)(980) state is reconstructed via its dominant decay channel f(0)(980) -> pi(+)pi(-), in proton-lead collisions recorded by the CMS experiment at the LHC, and its v(2) is measured as a function of transverse momentum (p(T)). It is found that the n(q) = 2 (q (q) over bar state) hypothesis is favored over n(q) = 4 (q (q) over barq (q) over bar or K (K) over bar states) by 7.7, 6.3, or 3.1 standard deviations in the p(T) < 10, 8, or 6 GeV/c ranges, respectively, and over n(q) = 3 (q<(q)over bar>g hybrid state) by 3.5 standard deviations in the p(T) < 8GeV/c range. This result represents the first determination of the quark content of the f(0)(980) state, made possible by using a novel approach, and paves the way for similar studies of other exotic hadron candidates.
Citation - WoS: 3
Citation - Scopus: 3
Enhancing Structural Health Monitoring of Fiber-Reinforced Polymer Composites Using Piezoresistive Ti3c2tx Mxene Fibers
(Nature Research, 2025) Taymaz, B.H.; Kamış, H.; Dziendzikowski, M.; Kowalczyk, K.; Dragan, K.; Eskizeybek, V.
The anisotropic behavior of fiber-reinforced polymer composites, coupled with their susceptibility to various failure modes, poses challenges for their structural health monitoring (SHM) during service life. To address this, non-destructive testing techniques have been employed, but they often suffer from drawbacks such as high costs and suboptimal resolutions. Moreover, routine inspections fail to disclose incidents or failures occurring between successive assessments. As a result, there is a growing emphasis on SHM methods that enable continuous monitoring without grounding the aircraft. Our research focuses on advancing aerospace SHM through the utilization of piezoresistive MXene fibers. MXene, characterized by its 2D nanofiber architecture and exceptional properties, offers unique advantages for strain sensing applications. We successfully fabricate piezoresistive MXene fibers using wet spinning and integrate them into carbon fiber-reinforced epoxy laminates for in-situ strain sensing. Unlike previous studies focused on high strain levels, we adjust the strain levels to be comparable to those encountered in practical aerospace applications. Our results demonstrate remarkable sensitivity of MXene fibers within low strain ranges, with a maximum sensitivity of 0.9 at 0.13% strain. Additionally, MXene fibers exhibited high reliability for repetitive tensile deformations and low-velocity impact loading scenarios. This research contributes to the development of self-sensing composites, offering enhanced capabilities for early detection of damage and defects in aerospace structures, thereby improving safety and reducing maintenance expenses. © The Author(s) 2025.
Citation - Scopus: 2
Evidence for Similar Collectivity of High Transverse-Momentum Particles in P-Pb and Pb-Pb Collisions
(American Physical Society, 2025) Chekhovsky, V.; Hayrapetyan, A.; Makarenko, V.; Tumasyan, A.; Adam, W.; Andrejkovic, J. W.; Druzhkin, D.
Charged hadron elliptic anisotropies (v(2)) are presented over a wide transverse momentum (p(T)) range for proton-lead (pPb) and lead-lead (PbPb) collisions at nucleon-nucleon center-of-mass energies of 8.16 and 5.02 TeV, respectively. The data were recorded by the CMS experiment and correspond to integrated luminosities of 186 and 0.607 nb(-1) for the pPb and PbPb systems, respectively. A four-particle cumulant analysis is performed using subevents separated in pseudorapidity to effectively suppress noncollective effects. At high pT (p(T) > 8 GeV), significant positive v(2) values that are similar between pPb and PbPb collisions at comparable charged particle multiplicities are observed. This observation suggests a common origin for the multiparticle collectivity for high-p(T) particles in the two systems.
Citation - WoS: 6
Citation - Scopus: 6
Experimental, Theoretical and Digital Image Correlation Methods to Assess Bending Performance of RC Beams With Recycled Glass Powder Replacing Cement
(Nature Portfolio, 2025) Aksoylu, Ceyhun; Basaran, Bogachan; Karalar, Memduh; Zeybek, Ozer; Althaqafi, Essam; Beskopylny, Alexey N.; Ozkilic, Yasin Onuralp
This study investigates the use of Waste Glass Powder (WGP) as a proportional replacement for cement in sustainable concrete production. In addition, changes in the bending capacity of the Reinforced Concrete (RC) Beams were examined by adding WGP at different rates (0%, 10%, 20%, 30%) to RC Beams with different steel reinforcement ratios (rho s = 0.0077 i.e. Phi 8, rho s = 0.0121 i.e. Phi 10, rho s = 0.0174 i.e. Phi 12). To pursue this goal, 12 test specimens were evaluated and then confirmed to explore the bending productivity. The amount of longitudinal bar section area and WGP proportion were chosen as the key parameters. For this aim, experimental and analytical investigations were carried out by replacing cement with WGP in weight ratios of 10%, 20%, and 30% and considering three different longitudinal reinforcements (rho s = 0.0077 i.e. Phi 8, Phi 10, Phi 12). The test results showed that tension reinforcement section area and WGP proportion dimensions had dissimilar rupture and flexure effects on RC Beams. Furthermore, investigational tests are confirmed with the help of the Digital Imagining Method, and the image processing method was used to identify the cracks/microcracks in RC Beams. Consequently, it is observed that each WGP ratio in the concrete combination has dissimilar bending and rupture properties on the RC Beams for experimental tests-10% of partial replacement of cement. It was found that a WGP ratio of more than 10% can significantly reduce the bending capacity of RC Beams. When the experimental test beams were compared with the analytical results, it was observed that the experimental results and analytical calculations are in agreement.
Exploring Deep Learning Approaches for Walnut Phenotype Variety Classification
(Wiley, 2025) Yilmaz, Burak
The efficient classification of agricultural commodities like walnuts is crucial for assessing quality and managing the supply chain. This scholarly article analyses various deep learning and data science methods for walnut fruit classification. For this purpose, first, a dataset comprising images of walnuts from Chandler, Fernor, Howard, and Oguzlar varieties was collected. Two different experiments were conducted. In the first experiment, only deep learning methods were used as classifiers. In this experiment, InceptionV3 demonstrated the highest classification accuracy, followed by VGG-19 and VGG-16. In the second experiment, deep learning algorithms were used for feature extraction, followed by support vector machine (SVM), logistic regression (LR), and k-nearest neighbor (k-NN) algorithms for classification. These models resulted in an improvement in overall success rates. The most effective classification was achieved with the InceptionV3 and LR combination, achieving the highest success rate. These results highlight the efficacy of deep learning methodologies in swiftly and accurately classifying agricultural products based on visual information, indicating the potential to strengthen classification systems within the agricultural sector.
Citation - WoS: 1
Citation - Scopus: 1
Extended-Spectrum (Esbl)-Producing Escherichia Coli in Laying Hens: Slaughterhouse Prevalence and Antibiotic Resistance Patterns
(Mdpi, 2025) Telli, Nihat; Telli, Arife Ezgi; Bicer, Yusuf; Turkal, Gamze
Background: Laying hens, which are widely utilized for consumption and export in various regions, experience prolonged antibiotic exposure due to their longer lifespan, increasing the risk of antibiotic resistance and impacting the microbial environment of poultry slaughterhouses. Given the significance of extended-spectrum-beta-lactamase (ESBL)-producing Escherichia coli in food safety, this study aimed to investigate the prevalence of ESBL genes in E. coli isolated from a laying hen slaughterhouse in Konya, Turkey. Methods: Sampling was conducted using a convenient sampling approach, and a total of 150 samples were collected from a single slaughterhouse over six visits during both warm (June-August) and cold (January-March) seasons to evaluate seasonal variations. Samples were categorized into environmental sources (personnel, air, wastewater, eggs) and carcass-related sources (cloaca, carcasses at critical control points, final product). Classical cultural and molecular techniques and antimicrobial susceptibility tests were used for ESBL presence and gene characterization. For sequence analysis, the bidirectional Sanger Gene sequence analysis method was applied. Results: PCR-based detection identified 10 of the 17 isolates as E. coli by amplifying the uspA gene, and bidirectional Sanger sequencing further confirmed these isolates at the species level. The E. coli isolates were detected at various sampling areas, including personnel, carcasses after evisceration, and raw wastewater samples collected at different time points. In the multiplex PCR analysis, most ESBL isolates were positive for the blaCTX-M gene. The co-existence of blaTEM and blaCTX-M genes was detected in five samples. Additionally, three genes (blaSHV, blaCTX-M, and blaOXA) were identified in a carcass sample after evisceration. All ESBL-producing isolates harbored the blaCTX-M1 gene, and multiple antibiotic resistance was observed across all isolates. The presence of these genes was strongly associated with resistance to ampicillin, amoxicillin-clavulanic acid, aztreonam, cefepime, cefpodoxime, cefuroxime, and cephalothin, highlighting the critical role of blaCTX-M in driving the multidrug resistance patterns observed in this study. The highest resistance rate (80%) was observed in "personnel" and "carcass samples after evisceration", while all isolates remained sensitive to carbapenems (imipenem and meropenem). Conclusions: Our findings highlight the importance of the laying hen slaughter line as a potential source of contamination with ESBL-producing E. coli, which poses significant implications for food safety and public health. These findings underscore the need for improved control measures to mitigate ESBL E. coli transmission in poultry processing and highlight the importance of optimizing antibiotic use strategies in laying hen farming.
Citation - Scopus: 1
Fog-Enabled Machine Learning Approaches for Weather Prediction in IoT Systems: a Case Study
(MDPI, 2025) Isler, Buket; Kaya, Sukru Mustafa; Kilic, Fahreddin Rasit
Temperature forecasting is critical for public safety, environmental risk management, and energy conservation. However, reliable forecasting becomes challenging in regions where governmental institutions lack adequate measurement infrastructure. To address this limitation, the present study aims to improve temperature forecasting by collecting temperature, pressure, and humidity data through IoT sensor networks. The study further seeks to identify the most effective method for the real-time processing of large-scale datasets generated by sensor measurements and to ensure data reliability. The collected data were pre-processed using Discrete Wavelet Transform (DWT) to extract essential features and reduce noise. Subsequently, three wavelet-processed deep-learning models were employed: Wavelet-processed Artificial Neural Networks (W-ANN), Wavelet-processed Long Short-Term Memory Networks (W-LSTM), and Wavelet-processed Bidirectional Long Short-Term Memory Networks (W-BiLSTM). Among these, the W-BiLSTM model yielded the highest performance, achieving a test accuracy of 97% and a Mean Absolute Percentage Error (MAPE) of 2%. It significantly outperformed the W-LSTM and W-ANN models in predictive accuracy. Forecasts were validated using data obtained from the Turkish State Meteorological Service (TSMS), yielding a 94% concordance, thereby confirming the robustness of the proposed approach. The findings demonstrate that the W-BiLSTM-based model enables reliable temperature forecasting, even in regions with insufficient governmental measurement infrastructure. Accordingly, this approach holds considerable potential for supporting data-driven decision-making in environmental risk management and energy conservation.
Citation - WoS: 8
Citation - Scopus: 8
Fruit Peel Incorporated Alginate Based Magnetic Hydrogel Bio-Composite Beads for Removal of Hexavalent Chromium
(Elsevier, 2025) Parlayici, Serife; Baran, Yaprak
High adsorption capacity, reusability and sustainability are the most important features sought in the adsorbent preferences to be used in wastewater treatment. In this research work, magnetic composite beads prepared from fruit peels (nectarine and orange) and alginate (ALG) as biopolymers (NAF and OAF) were synthesized by dropping and pH-precipitation method as alternative adsorbents. By encapsulating the adsorbent using alginate and imparting magnetic properties, the separation of the adsorbent from water after the adsorption process has been simplified. Fourier transform infrared spectroscopy analysis (FTIR), scanning electron microscopy (SEM) analysis, energy-dispersive X-ray (EDX)-mapping and X-ray diffraction (XRD) analyses were performed to examine the surface chemical structure and surface morphological structure of these new synthesized biosorbents. The calculated maximum adsorption capacities were 224.3 mg/g for OAF and 256.5 mg/g for NAF at 298 K and pH =2.0. It was observed that the adsorption process for both adsorbents was endothermic and spontaneous. Moreover, the adsorptions of Cr (VI) onto both adsorbents followed the pseudo-second order model and fit the Langmuir isotherm model better. OAF and NAF were found to be reusable with stable adsorption capacity for at least five cycles. Overall, this study demonstrates the performance of OAF and NAF in the removal of Cr (VI) ions from aqueous solutions, thus highlighting the promising potential of these magnetic bio-based adsorbents for sustainable water treatment.
Citation - WoS: 2
Citation - Scopus: 2
Image Processing and Artificial Neural Network Based Determination of Surface Mean Texture Depth on Lab-Controlled Chip Seal Pavement Samples
(Nature Portfolio, 2024) Gokalp, Islam; Uz, Volkan Emre; Barstugan, Mucahid; Balci, Mehmet Can
Because surface texture is nearly the sole indicator of pavement functional properties and highly correlated with critical operational characteristics of roadways like traffic noise and safety, the change in pavement surface texture because of traffic loadings and environment has to be evaluated routinely. There are numerous direct or indirect evaluation techniques in the market. However, most of these methods have some limitations like requiring lane closure or being expensive. In this study, a 2D image processing method was established to estimate the surface mean texture depth (MTD) of chip sealed pavements. We produced chip sealed pavement samples in the laboratory with different aggregate type, shape, and size ranging between 2 and 19 mm to cover wide range of live conditions. Two well-known conventional test methods, Sand Patch (SP) and Hydrotimer (HT), were used to determine MTDs of chip seal samples. Subsequently numerous photos were taken on surface of the samples with a camera for 2-D image processing that was done based on surface void ratio (SVR) approach. With the image processing, SVR of all samples were determined. At the point of whether there is a relationship or not, correlation analysis was made between the MTDs obtained with SP and HT and the data obtained by SVR approach with the artificial neural network method. The results show that the proposed SVR approach construed on 2D image processing method can be a reliable alternative to evaluate the surface texture of pavements.
The Influence of Fiber-Form Waste Tire Aggregates on the Flexural Strength, Ductility, and Energy Dissipation of Pultruded GFRP-Rubberized Concrete Hybrid Beams
(MDPI, 2025) Ecemis, Ali Serdar; Karalar, Memduh; Beskopylny, Alexey N.; Stel'makh, Sergey A.; Shcherban, Evgenii M.; Aksoylu, Ceyhun; Ozkilic, Yasin Onuralp
This study investigates the effects of different proportions of waste rubber fiber aggregates on the flexural behavior of reinforced concrete beams. Beam specimens were prepared with different proportions (5%, 10%, and 15%) of waste rubber fiber aggregates, and composite beams formed with pultruded GFRP profiles were tested under vertical load. According to the results of this study, cube compressive strength, cylinder tensile strength, and beam flexural strength decreased by 27.5%, 50%, and 47.6%, respectively, with the use of a 15% waste rubber aggregate. As a result of the four-point bending tests performed on reinforced concrete beams, the maximum load-carrying capacity of the beams decreased significantly after increasing the waste rubber aggregate ratio to 10% and 15%. However, a general improvement in the ductility of the beams was observed. One of the main results of this study is that when the waste rubber aggregate content is 5%, the best balance between strength and ductility is achieved, and the performance closest to the reference beams is obtained. The tests also revealed that the & Oslash;10-5% specimen exhibited higher performance in terms of both load-carrying capacity and yield stiffness. On the other hand, although the 15% waste rubber aggregate ratio caused a decrease in the maximum load-carrying capacity. along with an increase in the diameter of the tensile reinforcement, this decrease was quite low. Finally, an overall decrease in energy consumption capacity was observed with increasing waste rubber aggregate content in all test beams. This can be attributed to the acceleration of shear damage in the beam and the shrinkage of the area under the load-displacement curve as the amount of waste increases. Additionally, SEM analyses were conducted in order to investigate the microstructural behavior of the rubberized concrete. This study has shown that the use of waste rubber aggregates can be environmentally and economically beneficial, especially at the 5% level.
Citation - WoS: 1
Citation - Scopus: 1
Insomnia Patients Have a Poor Intestinal Prognosis: Accompanied by Microbiota-Derived Short Chain Fatty Acids, Diet and Zonulin
(Pergamon-Elsevier Science Ltd, 2025) Yerlikaya, Fatma Humeyra; Onmaz, Duygu Eryavuz; Selvi, Yavuz; Topkafa, Mustafa; Sivrikaya, Abdullah; Kaya, Samet; Akdag, Fadime
Background: It is becoming increasingly clear that the relationship between sleep disturbance and gut microbiota metabolites is of great importance. Aims: This study aimed to examine the changes in microbiota metabolites, brain-derived neurotrophic factors and synaptic proteins in insomnia patients, with a particular focus on the impact of diet. Methods: A total of 41 patients with insomnia and 45 healthy individuals participated in the study. The Food Frequency Questionnaire was employed to ascertain the subjects' daily macronutrient intake over the previous month. Pittsburgh Sleep Quality Index (PSQI) and Insomnia Severity Index (ISI) were used to evaluate insomnia complaints. The concentration of faecal short-chain fatty acids (SCFAs) was quantified by gas chromatography. Serum zonulin, brain derived neurotrophic factor (BDNF), postsynaptic density protein 95 (PSD-95) and synaptophysin-like protein 1 (SYPL1) protein levels were quantified using an enzyme-linked immunosorbent assay (ELISA) method. Results: The total SCFAs, acetic acid, propionic acid, butyric acid and valeric acid levels were found to be significantly lower in the insomnia patient group compared to the control group. The levels of zonulin, PSD-95 and SYPL1 were found to be significantly elevated in the insomnia patient group in comparison to the control group. A significant negative correlation was observed between PSQI and ISI values and fatty acids. Conclusions: It has been demonstrated that sleep deprivation may be associated with alterations in the metabolites produced by the gut microbiota. In Western countries where dietary fibre consumption is low, increasing SCFA levels, promoting gut integrity and homeostasis may be regarded as a promising new approach for the treatment of diseases such as insomnia.

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