Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Uzun, Sevda(34)
- Tuncer, Metin(11)
- Merdan, Mehmet(10)
- Emirza, Elif Güzide(9)
- Yilmaz, Coskun(9)
- Baltaci, Cemalettin(8)
- Baltacı, Cemalettin(8)
- Tuncer, Gülsüm Zekiye(8)
- Türkkan, Tuğba(8)
- Dinç, Artum(7)
- Araz, Onur(6)
- Bekar, Fevziye(6)
- Cakir, Mehmet Ali(6)
- Ceylan, Levent(6)
- Duran, Celal(6)
- Koçak, Tevfik(6)
- Ozdes, Duygu(6)
- Soydaş, Şafak Sönmez(6)
- Akmeşe, Osman(5)
- Akyol, Hikmet(5)
- Bayrak, Nurten Gülsüm(5)
- Bayrakdaroglu, Serdar(5)
- Bülbül, Kenan(5)
- Ceylan, Halil Ibrahim(5)
- Gücer, Mehmet Ali(5)
- Karimullah, Suud Sarim(5)
- Kavuran, Korhan(5)
- Kaygusuz, Abdullah(5)
- Kulakaç, Nurşen(5)
- Kurnaz, Muammer(5)
- Saydam Eker, Çiğdem(5)
- Turk, Veysel(5)
- Öztürk, Serkan(5)
- (Alieva), Vildane Özkan(4)
- Abada, A.(4)
- Abbrescia, M.(4)
- Abdolmaleki, H.(4)
- Abidi, S. H.(4)
- Abramov, A.(4)
- Adam, C.(4)
Yayınlar
- MakaleAçık Erişim2025Flexural Behavior and Sustainability of Dual-Waste Fiber-Reinforced Concrete Designed for Pavement Applications
Seferoğlu, Mehmet Tevfik; Aksüt, Yavuz Selim; Seferoğlu, Ayşegül Güneş
This study evaluates the mechanical performance and sustainability potential of fiber-reinforced concrete incorporating mine tailings as the fine aggregate and waste tire wire as the reinforcing fiber. The concrete mixtures contained 0.2%, 0.4%, and 0.6% waste tire wire with the natural fine aggregate replaced entirely with Pb-Zn-Cu tailings. The mixtures were tested for porosity, water absorption, compressive strength, splitting tensile strength, flexural strength, toughness, fracture energy, and ductility to assess their mechanical performance and durability. The mine tailings improved the microstructure and reduced water absorption, particularly with tire wire. Using waste tire wire improved the compressive, tensile, and flexural performance; in particular, W-6 showed a 18.2% rise in compressive strength and a more than twofold increase in flexural strength relative to the control mix. The flexural toughness and fracture energy rose by up to 161%, while the ductility peaked at a fiber content of 0.2%. These gains were attributed to fiber crack-bridging and post-cracking energy absorption. The dual-waste system also reduced porosity, improved durability, and demonstrated strong potential for rigid pavement applications such as highways, industrial yards, and airport runways that require high fatigue resistance and a long service life. Beyond technical performance, this approach offers a sustainable solution that lowers maintenance, reduces life-cycle costs, and aligns with circular economy principles.
- Kitap BölümüYalnız künye2025Carbon Pricing in the Fight Against Climate Change: The Impact of the Carbon Border Adjustment Mechanism on Public Revenues and Revenue Redistribution
Uğur, Candan Yilmaz
This study focuses on the fiscal aspect of the Carbon Border Adjustment Mechanism (CBAM) introduced by the European Union (EU) and aims to examine the use of revenues from the mechanism for developed and developing countries. The CBAM aims to prevent carbon leakage and promote environmental sustainability through carbon pricing, while at the same time generating significant public revenue for the EU. The envisaged use of these revenues in strategic areas such as green transformation, sustainable infrastructure projects and similar is an important step in contributing to the EU's environmental goals. However, given the risk that underdeveloped and developing countries are disproportionately affected by CBAM, the need for effective use of these revenues in these countries becomes even more evident. In this context, the effective use of CBAM revenues in less developed and developing countries is considered as an important tool to support not only environmental sustainability but also the economic and social transformation processes of these countries.
- MakaleAçık Erişim2025Evaluation of Antioxidant and Enzyme Inhibition Properties of Siran Propolis: Correlations With Phenolic Content Determined by LC–MS/MS
Balci, Neslihan; Aslan, Kubra; Erturk, Adem; Gulcin, Ilhami
This study evaluates the antioxidant activity, enzyme inhibition potential, and phenolic composition of ethanolic Siran propolis extract. Antioxidant capacity was measured using reducing power (CUPRAC, FRAP, and Fe3+-reducing) and radical scavenging (DPPH·, ABTS·+, and DMPD·+) assays. The extract showed strong reducing ability, surpassing standard antioxidants in CUPRAC and FRAP assays, correlating with high ferulic acid (40.40 mg/g) and p-coumaric acid (88.60 mg/g) levels identified by LC–MS/MS. While it demonstrated notable DPPH· scavenging (IC50: 30.14 μg/mL), ABTS·+ activity was weaker (IC50: 272.44 μg/mL). Enzyme inhibition assays indicated effective inhibition of α-glycosidase, AChE (IC50: 2.15 μg/mL), hCA I, and hCA II. Notably, AChE inhibition was stronger than the standard tacrine inhibitor (IC50: 8.82 μg/mL), suggesting neuroprotective potential. The observed bioactivities are attributed to synergistic effects of phenolic acids and flavonoids, including quercetin, luteolin, taxifolin, and resveratrol. These findings highlight Siran propolis as a promising natural antioxidant and enzyme inhibitor source with potential therapeutic applications and food formulations.
- MakaleAçık Erişim2025The effect of high SiC ratio on the physical, mechanical, tribological and corrosion behavior of Al2024 alloy matrix composites fabricated by powder metallurgy
Beder, Murat; Varol, Temel; Akçay, Serhatcan Berk; Çuvalcı, Hamdullah; Erdemir, Fatih; Khan, M Adam; Yıldız, Uğur Temel
Reinforcing materials used in the production of metal matrix composites are used to improve the properties of the final composite. However, the compatibility between matrix and reinforcement and the reinforcement ratio directly affects the properties of the composite material. For this reason, low reinforcement ratios are preferred in many studies on ceramic particle reinforced composites. Unlike conventional studies, in this study, the effects of 10 wt%, 20 wt% and 40 wt% SiC content on the microstructure, dry wear properties and corrosion properties of Al2024 matrix composites were investigated. θ phase content became higher as the SiC content was increased. Hardness values increased with increasing SiC reinforcement. The highest value (307.68 HB) was obtained for the composite with 40 wt% SiC reinforcement, an increase of more than 100%. A decrease in volume loss with increasing SiC reinforcement was observed in the friction and wear tests. For 5 N of load and 1200 m of sliding distance, it was found that an addition of 40 wt% of SiC particles in Al2024 matrix results decrease in volume loss by almost 722%.
- MakaleYalnız künye2025Kinetics and Isotherm Evaluation for Adsorptive Removal of Anionic and Cationic Dyes from Aqueous Media by Sulfuric Acid-Modified Beech Sawdust
Ozdes, Duygu; Ozeken, Sengul Tugba; Top, Yener; Kalkisim, Ozgun; Duran, Celal
A novel and efficient adsorbent was prepared by modifying Fagus orientalis L. (beech) sawdust with H2SO4. The adsorption behavior of H2SO4-modified beech sawdust (SMBS) was investigated by batch experiments to offer a straightforward, inexpensive, and effective method for the retention of anionic and cationic model dyes, indigo carmine (IC) and methylene blue (MB), from wastewater. The experimental conditions were optimized by investigating the effects of the initial pH, initial concentrations of IC and MB dyes, dosage of SMBS, period of the contact, and the presence of salts in the aqueous media on the adsorptive performance of SMBS. The initial pH values of the aqueous solutions, from which IC and MB dyes will be removed, were optimized as 2.0 and 6.5 (natural), respectively. The optimum contact time for the adsorption of both dyes onto SMBS was determined to be 240 min. The mechanisms in the adsorption of IC and MB onto SMBS were investigated by evaluating the experimental data through different isotherm and kinetic models. The Langmuir isotherm model and pseudo-second order kinetic model performed well in explaining the mechanism of adsorption. Langmuir monolayer adsorption capacity of SMBS adsorbent was 38.85 mg g−1 for IC and 58.82 mg g−1 for MB. As a result, CMCP exhibited excellent performance in adsorbing organic pollutants, providing a low-cost and easily prepared alternative to other adsorbents found in the literature.
- MakaleYalnız künye2025Prioritisation of Human Resource Strategies in the Digital Transformation Process of SMEs
Olubiyi, Timilehin Olasoji; Longe, Olumide Babatope; Susela Devi, K. Suppiah; Sinha, Mudita; Şimşek, Tuğçe; Şimşek, Ahmet Bahadır; Olubiyi, TO; Longe, OB; Devi, KSS; Sinha, M
This chapter focuses on the importance of human resource (HR) management strategies in the digital business strategy for small- and medium-sized enterprises (SMEs). With the increasing influence of digital transformation that alters organisational structures and implements new technologies, SMEs have no other choice but to evolve. However, due to the scarcity of resources, it becomes very important for SMEs to allocate its HR appropriately and effectively. To support decision-making on strategies like employee reskilling, recruitment of digital talent, leadership development, and promoting a digital culture, this chapter presents a multi-criteria decision analysis (MCDA) framework. The prioritisation is crucial because not all the strategies can be executed at once, and SMEs should target the most effective ones in the long run, affordable, and relevant to their digital transformation agenda. This chapter illustrates methods for how SMEs can use the proposed prioritisation framework effectively. The hypothetical case study demonstrates the real challenges faced by SMEs during digital transformation and how MCDA assists leaders in selecting the most beneficial HR strategies. The case highlights the necessity of fitting strategies to organisational challenges to allow the customisation of training and leadership to align with business demands and maximise effectiveness while minimising costs. Upon use, this framework enables SMEs to comprehend and direct their digital transformation path more effectively.
- MakaleAçık Erişim2025A new approach to solving local fractional Riccati differential equations using the Adomian-Elzaki method
Aydemir, Hilal; Merdan, Mehmet; Demir, Ümit
The Elzaki-Adomian decomposition method (EADM) is intended to serve as an efficient analytical method for the resolution of these original fractional-order Riccati differential equations. This can be accomplished permanently by incorporating the Adomian decomposition method with Elzaki. The local fractional derivative is implemented in this format. Particularly in the context of nonlinear differential equations (ODE), this approach is preferred over digital gaps. Additionally, the method’s convergence. Random individuals with uniform, beta, normal, and gamma distributions are used to select the initial conditions or coefficients of the equations. The variance, confidence interval, and expected value of the solutions that are obtained will be determined. MATLAB (2013a) package software will be employed to display the individuals that were brought together, and the results will be analyzed randomly.
- MakaleAçık Erişim2025THE REGRESSION ANALYSIS AND DETERMINATION OF MECHANICAL AND PHYSICAL PROPERTIES ON GEOPOLYMER COMPOSITES UNDER THERMAL AND WATER CURING
Cavdar, Ozlem; Temizer, Hulya
Increasing costs due to high energy consumption and the release of harmful CO2 gases in cement production have made it necessary to explore alternative binders. This study aims to investigate the physical and mechanical properties of geopolymer mortars containing different proportions of pozzolanic wastes under different cure conditions. For this objective, fly ash obtained from the Sivas/Turkey thermal power plant and blast furnace slag obtained from the Bolu/Turkey iron-steel industries were used as the binding materials. Thermal curing and water curing were applied, and three different molar ratios (8M, 10M, 12M) of NaOH solution and Na2SiO3 were used. The results showed that the reaction products, types of alkaline activators, and reaction conditions are important factors in geopolymer mortars. The highest compressive strength recorded was 84.7 MPa in the geopolymer sample which consisted of 95% blast furnace slag blast furnace slag and 5% fly ash fly ash. Furthermore, two different binder additives (marble powder and strontium) were used and their time-dependent effects on the main binder were analysed. In addition, according to the ANOVA statistical results, the R2 value of the independent variables (Molarity, main binder ratios) on the compressive strengths accepted as the dependent variable is 81.7%. The significance value is 0.007, and these results were considered quite significant.
- MakaleAçık Erişim2025Volumetric and microstructural changes in the Hippocampus and cingulum in children with west syndrome
PALANCI, Özgür; KAMAŞAK, Tülay; AYDIN KASAP, Zeliha; EYÜBOĞLU, İlker; DİLBER, Beril; CANSU, Ali
Purpose: We aimed to investigate structural changes in the hippocampus using automated segmentation techniques to evaluate the anatomy and function of the hippocampus in patients with West syndrome (WS). Methods: The study included 48 participants (24 with WS and 24 healthy controls) aged 0‐4 years. Automated segmentation methods were used to measure hippocampal volume and evaluate diffusion tensor imaging (DTI) parameters such as fractional anisotropy (FA) and mean diffusivity (MD). Bonferroni correction was applied for multiple comparisons, setting the adjusted significance threshold at p < 0.0033. Results: Children with WS exhibited significantly reduced total hippocampal volume and diminished volumes in the CA2–CA3, CA4-dentate gyrus (CA4-DG), and SR-SL-SM regions compared to healthy controls (padj <0.0033). After correction, no significant differences were found in the CA1 and subiculum regions (padj >0.0033). Although initial comparisons between ongoing WS and seizure-controlled WS suggested increased volumes in several hippocampal regions in the seizure-controlled group, these differences did not remain significant after adjustment and must be interpreted with caution. Notably, patients with seizure-controlled WS displayed larger hippocampal volumes, higher FA, and lower MD values, indicating a possible link between seizure activity and structural alterations. Additionally, DTI analysis of the cingulum revealed lower FA and higher MD values in WS patients, suggesting compromised microstructural integrity. Conclusions: These findings emphasize the potential role of hippocampal alterations in the pathophysiology of WS and suggest that DTI parameters may serve as useful measures for monitoring disease progression and treatment response.
- MakaleAçık Erişim2025Parents’ experiences on the management of the process after sexual abuse of their children in northern region of Turkey: Qualitative study
Bayrak, Nurten G.; Uzun, Sevda
Background: Child abuse is a universal problem with medical, legal, and psychosocial dimensions that every child is at risk of encountering all over the world. Aim: The aim of this study was to evaluate the experiences of parents regarding the management of the process after sexual abuse of their children using a qualitative approach. Methods: In this qualitative study, semi-structured in-depth interviews were conducted with the parents of 15 children who were exposed to qualified sexual abuse living in a city in Northern Turkey. Criterion sampling method, one of the purposive sampling methods, was used to reach the sample group. Interviews continued until data saturation was achieved. All interviews were audio recorded and then transcribed. The data of the study were evaluated using thematic analysis. The study was conducted and reported according to the consolidated criteria for reporting qualitative research (COREQ) checklist. Results: In the analysis of the data, three themes (effects of child sexual abuse on the family, sexual abuse and process management, and attitudes and approaches to the child after sexual abuse), and nine sub-themes (mental, physical, social, reactions, difficulties experienced, coping, cognitive dimension, emotional dimension, behavioral dimension) were identified. Conclusion: As a result of the study, it was determined that parents were negatively affected psychologically by the sexual abuse of their children. This study reveals that the concept of family is very important in all aspects of the sexual abuse of children. As a result of the study, it was determined that families were not very effective in process management and some parents blamed themselves for the incident they experienced.
- MakaleYalnız künye2025First evaluation and ecological risk of potentially toxic elements in the formations of Akçakale cave (Gümüşhane-NE-Türkiye)
Saydam Eker, Çiğdem; Külekçi, Gökhan; Uçak, Gül
In this study, the potential toxic element levels (PTEs) and adverse health effects of Akçakale cave formations were evaluated using geochemical parameters such as enrichment factor (EF), geo-accumulation index (Igeo), contamination factor (CF), ecological risk factor (Eri), potential ecological risk index (PERI), and non-carcinogenic hazard index (HI). Water does not pose a pollution risk, as the concentrations of potentially toxic elements in all samples are within the permissible limits for drinking water. According to the calculated geochemical parameters, all the samples were polluted with As, Co, Ni, Cu, V, and Pb. Ni, As, Cu, and Pb show very high ecological risk (PER > 320) in all samples, except Cu and Pb in T2T. The PERI values of the PTEs were more than 600 in all samples, indicating a very high potential ecological risk. The HI > 1 values for Co and As in all samples for both adults and children suggested potential non-carcinogenic health risks from exposure to these elements in the cave environment. The PTEs in the Akçakale cave formation were most likely linked to lithogenic, geogenic (Pb–Zn-Cu mineralization), and anthropogenic (agricultural activities) processes, per the findings of the data analysis using multivariate statistics (PCA and PCC). These data obtained are the first findings regarding the potential toxic element content of Akçakale cave.
- BildiriAçık Erişim2025Comparative Analysis of Vision Foundation Models For Building Segmentation in Aerial Imagery
Akbulut, Zeynep; Özdemir, Samed; Karslı, Fevzi; Sefercik, U.G.
Visual Foundation Models (VFMs) demonstrate impressive generalization capabilities for image segmentation and classification tasks, leading to their increasing adoption in the remote sensing field. This study investigates the performance of VFMs in zero-shot building segmentation from aerial imagery using two model pipelines: Grounded-SAM and SAM+CLIP. Grounded-SAM integrates the Grounding DINO backbone with a Segment Anything Model (SAM) while SAM+CLIP first employs SAM for generating masks followed by Contrastive Language Image Pretraining (CLIP) for classification. The evaluation, performed on the WHU building dataset using Precision, Recall, F1 score, and intersection over union (IoU) metrics, revealed that Grounded-SAM achieved F1-score of 0.83 and IoU of 0.71. SAM+CLIP achieved F1-score of 0.65 and IoU of 0.49. While Grounded-SAM excelled at accurately delineating partially occluded and irregularly shaped buildings, SAM+CLIP was able to segment larger buildings but struggled with delineating smaller ones. Given the impressive performance of VFMs in zero-shot building segmentation, future efforts aimed at refining these models through fine-tuning or few-shot learning could significantly expand their application in remote sensing.
- MakaleAçık Erişim2025A multi-stage fusion deep learning framework merging local patterns with attention-driven contextual dependencies for cancer detection
Catal Reis, Hatice; Turk, Veysel
Cancer is a severe threat to public health. Early diagnosis of disease is critical, but the lack of experts in this field, the personal assessment process, the clinical workload, and the high level of similarity in disease classes make it difficult. In recent years, deep learning-based artificial intelligence models have shown promise, with the potential to increase diagnosis speed and accuracy. These models attract attention with their automatic learning and adaptation capabilities. In this study, the deep learning-based PADBSRNet model and the PADBSRNet-Vision Transformer (ViT) hybrid method are proposed for the detection of brain tumors and skin and lung cancers. PADBSRNet is a comprehensive deep neural network architecture that integrates separable and traditional convolution layers, multiple attention mechanisms, bidirectional recurrent neural networks, and cross-connections/multi-stage feature fusion strategies. This architecture offers significant advantages in terms of effectively extracting local-global, contextual features and accurately modeling long-term dependencies in image classification tasks. The second proposed approach developed a hybrid method that combines the advantages of the PADBSRNet model and the ViT model. Experimental analysis on medical datasets such as the Figshare Brain Tumor Dataset, IQ-OTH/NCCD Dataset, and Skin Cancer: Malignant vs. Benign Dataset has evaluated the proposed models' performances. According to the experimental results, the PADBSRNet model has shown successful performance with 95.24 %, 99.55 %, and 88.61 % accuracy rates, respectively. The experimental findings show that the proposed deep learning model can effectively learn the complex relationships and hidden patterns of cancer disease, thus producing applicable and effective results in cancer diagnosis.
- MakaleAçık Erişim2025Protective effect of tarantula cubensis extract on ischemia-reperfusion injury in rat ovaries: Immunohistochemical, biochemical and histopathological evaluations
Paksoy, Zahid; Ozturk Sarikaya, Sevim Beyza; Yumusak, Nihat
Ischemia-reperfusion (IR) injury is a common pathology affecting the ovary. This study aimed to investigate the effect of Tarantula cubensis extract (TCE) on ovarian IR injury. Forty-two female rats were used and randomly divided into 7 groups: Control, Sham, IR, Ischemia+TCE+Reperfusion, TCE+IR, Ischemia+Ethanol+Reperfusion and Ethanol+IR. The control and sham groups did not receive any treatment. All other groups were subjected to 3 h of ischemia + 3 h of reperfusion. A single dose of TCE (0.2 ml Theranekron) was administered subcutaneously either before or after ischemia in the treatment groups. In the last 2 groups, ethanol was applied before or after ischemia. After reperfusion, blood samples were collected and analyzed for biochemical parameters. Additionally, the ovarian tissue was evaluated histopathologically and immunohistochemically. The IR group exhibited more marked hyperemia, hemorrhage, and necrosis. Both treatment groups showed histopathological improvement. Moreover, the recovery rate was greater in the animals given theranekron before ischemia. IR injury caused oxidative stress in the rats. However, Theranekron did not significantly reduce the MDA levels (p > 0.05). On the other hand, SOD levels were significantly increased in the treatment groups (p < 0.01). Compared to the control and sham groups, the IL-1β, IL-6 and TNF-α levels were very high in the IR group. Conversely, the immunoreactivity of these cytokines was further reduced in the animals given theranekron before ischemia. Our findings suggest that TCE may be beneficial in the treatment of ovarian IR damage, especially when Theranekron is given before ischemia.
- MakaleAçık Erişim2025Feature Fusion Using Deep Learning Algorithms in Image Classification for Security Purposes by Random Weight Network
Kiran, Mustafa Servet; Seyfi, Gokhan; Yilmaz, Merve; Esme, Engin; Wang, Xizhao
Automated threat detection in X-ray security imagery is a critical yet challenging task, where conventional deep learning models often struggle with low accuracy and overfitting. This study addresses these limitations by introducing a novel framework based on feature fusion. The proposed method extracts features from multiple and diverse deep learning architectures and classifies them using a Random Weight Network (RWN), whose hyperparameters are optimized for maximum performance. The results show substantial improvements at each stage: while the best standalone deep learning model achieved a test accuracy of 83.55%, applying the RWN to a single feature set increased accuracy to 94.82%. Notably, the proposed feature fusion framework achieved a state-of-the-art test accuracy of 97.44%. These findings demonstrate that a modular approach combining multi-model feature fusion with an efficient classifier is a highly effective strategy for improving the accuracy and generalization capability of automated threat detection systems.
- MakaleAçık Erişim2025Effects of Web-Based Psychotherapeutic Interventions on Depression in Mood Disorders: A Meta-Analysis Study
Güler, Kübra Gülırmak; Uzun, Sevda; Emirza, Elif Güzide
PURPOSE: To investigate the effects of web-based psychotherapeutic interventions on depression among individuals with mood disorders. METHOD: For this meta-analysis study, data were obtained from October to December 2023 by searching PubMed, Web of Science, EBSCOhost, Google Scholar, and YÖK Thesis Center for articles published in the past 5 years. In the first stage of the search, 12,056 records were obtained. After removing duplicate studies, 4,910 records were considered for title and abstract review. After this evaluation, 139 studies were identified for full-text review. After the review, six studies reporting results on the effectiveness of web-based psychotherapeutic interventions on depression among individuals with mood disorders were ultimately included. RESULTS: Web-based interventions had significant positive effects and provided decreases in depression levels (standardized mean difference = –0.168, 95% confidence interval [–0.315, –0.021]; Z = –2.243; p < 0.05). CONCLUSION: Web-based interventions for mood disorders may play an effective role in reducing the burden of chronic mental illness and improving patient outcomes.
- MakaleYalnız künye2025Concentrations, distribution, and source appointment of heavy metal/loids in non-clastic sedimentary rocks: a case study of early jurassic chert, northeastern türkiye
Saydam Eker, Çiğdem; Kaygusuz, Abdullah; Arı, Uğur Volkan
The Current study used geochemical indicators such as the geo-accumulation index (Igeo), the Enrichment Factor (EF), and the contamination factor (CF) to evaluate the regional distributions and accumulations of various heavy metal/loids (HM; Co, Mo, Pb, Zn, Cu, Ni, As, Cd) in early Jurassic cherts in the Gümüşhane (NE Türkiye). Five stratigraphic section measurement (MS) areas (Tedaş, Alemdar, Akçakale, Tekke, and Pirahmet) and one borehole (Eskibağlar well) were selected for sampling. Major and trace element compositions of the selected 25 samples were measured by inductively coupled plasma optical emission spectrometry (ICP-OES) and inductively coupled plasma mass spectrometry (ICP-MS). Calculated geochemical indexes indicated that Alemdar, Tekke MS, and Eskibağlar well samples were polluted with Pb, Zn, Cu, As, and Cd, Tedaş, Akçakale, and Pirahmet MS samples were polluted with Cd. Pearson's correlation coefficient (PCC) and principal component analysis (PCA) suggested that Zn, Pb, and Cu contaminating the Alemdar, Tekke MS, and Eskibağlar well samples were of ore mineralization origin, As was of terrigenous input, and Cd was probably of diatom origin. PCC and PCA showed that the Cd contaminating the Tedaş, Akçakale, and Pirahmet MS samples was probably of diatom origin, and the other metals found at normal levels in the samples were due to terrigenous input. The Early Jurassic period, which was a rift environment in the Gümüşhane region, is thought to have produced the cherts of the Alemdar, Tekke MS, and Eskibağlar well samples in a graben environment, while the cherts of the Tedaş, Akçakale, and Pirahmet MS were deposited in a horst environment. δU values, Ni/Co, and Vi/(V + Ni) ratios indicated that oxic-anoxic conditions were generally prevalent in the depositional environment, but redox conditions did not affect the abundance and distribution of HMs. These findings provide critical information for assessing heavy metal/loid enrichment and contamination potential not only in clastic sedimentary rocks, river sediments, and soils but also in non-clastic sedimentary rocks.
- MakaleYalnız künye2025ChatGPT-4 in Nursing Research: A Methodological Evaluation of Bias Risk in Randomized Controlled Trials
Tuncer, Metin; Tuncer, Gülsüm Zekiye
Background: Conducting bias assessments in systematic reviews is a time-consuming process that involves subjective judgments. The use of artificial intelligence (AI) technologies to perform these assessments can potentially save time and enhance consistency. Nevertheless, the efficacy of AI technologies in conducting bias assessments remains inadequately explored. Aim: This study aims to evaluate the efficacy of ChatGPT-4o in assessing bias using the revised Cochrane RoB2 tool, focusing on randomized controlled trials in nursing. Methods: ChatGPT-4o was provided with the RoB2 assessment guide in the form of a PDF document and instructed to perform bias assessments for the 80 open-access RCTs included in the study. The results of the bias assessments conducted by ChatGPT-4o for each domain were then compared with those of the meta-analysis authors using Cohen's weighted kappa analysis. Results: Weighted Cohen's kappa values showed better agreement in bias in the measurement of the outcome (D4, 0.22) and bias arising from the randomization process (D1, 0.20), while negative values in bias due to missing outcome data (D3, −0.12) and bias in the selection of the reported result (D5, −0.09) indicated poor agreement. The highest accuracy was observed in D5 (0.81), and the lowest in D1 (0.60). F1 scores were highest in bias due to deviations from intended interventions (D2, 0.74) and lowest in D3 (0.00) and D5 (0.00). Specificity was higher in D5 (0.93) and D3 (0.82), while sensitivity and precision were low in these domains. Conclusions: The agreement between ChatGPT-4o and the meta-analysis studies in the same RCT assessments is generally low. This indicates that ChatGPT-4o requires substantial enhancements before it can be used as a reliable tool for bias risk assessments. Clinical Relevance: The AI–based tools have the potential to expedite bias assessment in systematic reviews. However, this study demonstrates that ChatGPT-4o, in its current form, lacks sufficient consistency, indicating that such tools should be integrated cautiously and used under continuous human oversight, particularly in evidence-based evaluations that inform clinical decision-making.
- MakaleYalnız künye2025Application of SnO2@CTAB-modified zeolitic clay nanocatalyst for the efficient sonocatalytic degradation of methylene blue in wastewater: Structural characterization, catalytic activity, and mechanistic insights
Önen, Hakan; Kıranşan, Murat
This study investigates the sonocatalytic degradation of dyes in wastewater using SnO2 nanoparticles and a hybrid SnO2@CTAB-modified zeolitic clay (SnO2@M-ZLT) nanocatalyst. The catalysts were synthesized in solution medium and characterized by XRF, XRD, FT-IR, SEM, TEM, and nitrogen adsorption-desorption analyses, confirming their successful formation and suitable surface properties. The effects of critical parameters including initial dye concentration, catalyst dosage, pH, water matrix, and radical scavengers on the removal of methylene blue (MB) were systematically evaluated. Under optimal conditions (10 g L−1 catalyst, 10 mg L−1 MB, Ultrasonic power: 300 W/L, pH for MB: Natural pH), the SnO2@M-ZLT nanocatalyst achieved 97.40 % ± 1.12 % degradation within 120 min, while 95.05 % ± 1.25 % efficiency was observed at 5 g L−1 catalyst and 5 mg L−1 MB. The sonocatalytic degradation of MB over SnO₂@M-ZLT followed pseudo-first-order kinetics, with kapp values ranging from 0.004 to 0.082 mg L−1 min−1 depending on catalyst dosage, 0.012–0.083 mg L−1 min−1 with varying MB concentration, and 0.030–0.055 mg L−1 min−1 across different water matrices. The optimal degradation efficiency was obtained at a catalyst dosage of 2–2.5 g L−1, an initial MB concentration of 5–10 mg L−1, and in distilled water, confirming the strong dependence of the reaction rate on both operational and environmental factors. Reusability tests showed that SnO2@M-ZLT retained high catalytic activity after five cycles. These results highlight the strong potential of SnO2@M-ZLT as an efficient and stable nanocatalyst for sustainable wastewater treatment.
- MakaleYayıncıda açık erişim2025Determination of antibacterial properties and chemical composition of pyrolysis liquid from feeding wastes of mealworm Tenebrio molitor L. (Coleoptera: Tenebrionidae) adults and larvae; [ОДРЕЂИВАЊЕ АНТИБАКТЕРИЈСКЕ АКТИВНОСТИ И ХЕМИЈСКОГ САСТАВА ПИРОЛИТИЧКЕ ТЕЧНОСТИ НАСТАЛЕ ИЗ НУТРИТИВНОГ ОТПАДА ОДРАСЛОГ ЦРВА]
Özgen, İNanç; Gül, Abdulkadi̇R; Baltaci, Cemalettin; Öner, İLyas; Aydoğmuş, Ercan
This study aimed to evaluate the antibacterial properties and phytochemical composition of pyrolysis liquids obtained from the biowaste of the mealworm Tenebrio molitor L. (Coleoptera: Tenebrionidae) adults and larvae. Biowaste was subjected to pyrolysis at 295±5 °C for 7 h under a nitrogen atmosphere using a laboratory-scale system equipped with a dual condensation unit to separate light and heavy fractions. The biowaste pyrolysis liquid (BPL) were purified and analysed for their chemical content using LC–MS/MS, which identified seven key phenolic compounds, with cinnamic acid being the most abundant (358.05 µg/g), followed by salicylic acid, 4-hydroxybenzoic acid and naringenin. Notably, the most of flavonoid derivatives were either absent or below detection limits, indicating the extract’s phenolic acid-dominated profile. The antibacterial activity of BPL was assessed against two gram-negative (E. coli ATCC-25922, P. aeruginosa ATCC-27853) and two gram-positive (E. faecalis ATCC-23212, S. aureus ATCC-25923) bacterial strains using the agar well diffusion method. The results demonstrated significant antibacterial effects, particularly against S. aureus (29.5±0.3 mm) and P. aeruginosa (23.5±0.2 mm), followed by E. coli (21.7±0.1 mm). These findings highlight the potential of insect-derived pyrolysis liquids as natural antibacterial agents, driven largely by their phenolic acid content. This study underscores the value of biowaste valorisation for developing bioactive compounds with potential applications in antimicrobial therapies.