Yayınlar
Koleksiyondaki öğeler
- Kitap BölümüYalnız künye2026Fungi-Derived Food Additives and Flavors
Arpa Zemzemoğlu, Tuba Eda; Eker, Tülin
The growing global population, the decline in edible food sources, technological advancements, and limited time have led to significant changes in society's eating habits. The increasing preference for ready-to-eat and semi-prepared foods has also resulted in higher consumption of food additives. In today's conditions, food additives are used at various stages of the food supply chain, from farm to fork, for different purposes. However, excessive intake of food additives may have negative health effects. For this reason, there has been a growing interest in natural food additives in recent years. Due to their functional properties, edible mushrooms are widely used as versatile ingredients in food product development. This chapter aims to determine the potential of edible mushrooms as food additives. Edible mushrooms can be used as meat substitutes in various food products, reducing fat and animal protein content while increasing dietary fiber and amino acid levels. When used as fat replacers, they lower fat levels in processed foods and enhance sensory properties. When incorporated as flour substitutes in baked goods, they boost dietary fiber, protein content, and antioxidant capacity. Additionally, mushrooms act as natural salt and phosphate substitutes, reducing sodium levels in meat products and replacing synthetic additives while maintaining sensory acceptability and product quality. Mushrooms also have great potential as natural colorants. Their natural origin, low-cost and high-yield production, and wide color spectrum make them suitable for use as food additives. These multifunctional roles of edible mushrooms highlight their potential to enhance nutritional profiles and promote sustainability in food formulations.
- MakaleYayıncıda açık erişim2026Scopus SJRQ3The Effect of Music-Repeating Robotic Parrot Therapy and Different Instrumental Live Music Therapies on Anxiety and Fatigue Levels in Hemodialysis Patients: A Randomized Controlled Trial
Demirağ, Hatice; Cin, Aynur; Aktepe Coşar, Dilan; Uzun, Sevda; Türkmen, Osman Oğulcan
Aim: This study aimed to evaluate the effects of three different music-based interventions on anxiety and fatigue levels in patients undergoing hemodialysis, compared to a concurrent control group receiving standard care. Methods: This randomized controlled trial involved 64 patients receiving maintenance hemodialysis. They were randomly assigned to four equal groups (n = 16 each): live music, live ney sound therapy (using a traditional reed flute known for its soothing, breath-like tones), a music-repeating robotic parrot therapy (an interactive robotic parrot that repeats music or sounds provided by the patient), or a control group (no intervention). The experimental groups received 30-min sessions 3 days per week for 2 months. The “Beck Anxiety Scale” and “Fatigue Severity Scale” were used to measure anxiety and fatigue, respectively. Assessments were performed before the intervention, immediately after the 2-month intervention period, and at 2 months after the end of the intervention period. Results: Before the intervention, there were no significant differences in anxiety or fatigue scores across the four groups (p > 0.05). After the interventions, all three groups exposed to music therapy showed significant reductions in both anxiety and fatigue scores compared to the control group (p < 0.001). Conclusion: All three therapies were effective in managing anxiety and fatigue symptoms in hemodialysis patients. Among them, music-repeating robotic parrot therapy demonstrated the most superior and longest-lasting effects in reducing both anxiety and fatigue levels. Trial Registration: ClinicalTrials.gov identifier: NCT07238374.
- Kitap BölümüYalnız künye2026A Policy-Aligned Integrated Index Framework for Environmental Impact Assessment Monitoring and Reporting Using the Best Worst Method
Şimşek, Aybala; Şimşek, Ahmet Bahadır
Environmental Impact Assessment generates growing volumes of monitoring data, yet reporting still tends to treat indicators as separate signals rather than parts of a coherent evaluative structure. This chapter responds to that gap by developing a policy-aligned integrated index for monitoring and reporting in EIA. The proposed framework links environmental indicators to ESG themes, SDG targets, and European Green Deal priorities, then uses the Best Worst Method to derive transparent and defensible weights. Rather than presenting the index as a substitute for detailed evidence, the chapter treats it as a structured synthesis that can clarify how monitoring results relate to policy commitments and reporting needs. An illustrative application shows how the framework can organise indicators, support interpretation, and remain sensitive to alternative weighting choices. The chapter concludes by outlining the practical value and limits of using integrated indices in EIA contexts.
- MakaleAçık Erişim2025Scopus SJRQ1A novel q-ROHFS prospect theory based MABAC method for failure mode risk prioritization in aircraft landing systems
Köseoğlu, Ali; Altun, Fatma; Şahin, Rıdvan
Failure mode risk prioritization is crucial in aircraft landing systems, where undetected or misjudged failures can lead to catastrophic outcomes. Effective risk analysis enables proactive maintenance and enhances aviation safety in such critical phases of flight. In this study, a novel hybrid decision-making framework is proposed to prioritize failure modes in aircraft landing systems by integrating the Multi-Attributive Border Approximation Area Comparison (MABAC) method with Prospect Theory under a q-Rung Orthopair Hesitant Fuzzy Set (q-ROHFS) environment. Traditional failure modes and effects analysis (FMEA) approaches often suffer from rigid weighting schemes, lack of sensitivity to expert hesitancy, and an inability to incorporate psychological factors such as risk aversion or subjective evaluations—especially in high-risk domains like aviation. To address these limitations, the proposed model incorporates human psychological behaviour and uncertainty in expert assessments. Prospect Theory is employed to capture decision makers’ risk attitudes and reference-dependent evaluations, while q-ROHFSs allow more flexible and comprehensive representation of hesitant and uncertain information. In this approach, Best-Worst Method (BWM) is used to determine the relative importance of risk factors for each decision maker, and their individual weights are obtained using TOPSIS-based similarity measures. A novel generalized q-ROHF Minkowski distance measure is also introduced and implemented to determine the weights of decision makers in the TOPSIS method, as well as to construct the prospect decision matrix and the distance matrix in the MABAC method, thereby enhancing computational precision. The applicability and effectiveness of the proposed method are demonstrated through a real-world case study on aircraft landing systems, and a sensitivity analysis is conducted to validate the robustness of the results. The findings highlight the method’s capability to reflect expert preferences more realistically and improve risk prioritization decisions in complex safety-critical systems.
AtıfOpenAlex1
İncele - MakaleAçık Erişim2026Scopus SJRQ1Place attachment of earthquake victims residing in Antakya (Hatay) after the Kahramanmaraş earthquakes on February 6, 2023
Fakıoğlu, Merve; Mızrak, Sefa
People affected economically, environmentally, physically, and psychologically by the earthquake may be reluctant to move to safer and more comfortable places for various reasons. Investigating the factors that influence people’s place attachment after devastating earthquakes will enable the creation of sustainable communities and cultures. This study examined the impact of earthquake experience, preparedness, place-protective behavior, social support, insecurity, price increase, the surrounding environment, self-efficacy, and risk perception on place attachment among earthquake victims in Antakya following the February 6, 2023, Kahramanmaraş earthquakes. Data were collected via surveys from 453 earthquake victims in the Antakya region of Hatay (Türkiye) province, one year after the earthquakes. Eleven ordered logistic regressions revealed the strength and direction of the factors affecting place attachment. Earthquake victims who were injured, lost relatives, were not evacuated, and were not disturbed by the rubble had higher place attachment. Earthquake preparedness, formal social support, post-earthquake insecurity, post-earthquake price increase, self-efficacy, and earthquake risk perception did not affect place attachment. Sustainability and place-protective behavior increased place attachment. Furthermore, place attachment was higher among men and those who lived longer in Antakya. This study is expected to guide managers, disaster experts, and non-governmental organizations who develop strategies to increase people's place attachment in disaster-affected regions.
- MakaleYalnız künye2026Scopus SJRQ1Effects of earthquake frequency content and isolation thickness on seismic behavior of a structure system resting on geotechnical seismic isolation layer
Ozturk, Kasif Furkan; Cakir, Tufan; Araz, Onur
Geotechnical seismic isolation (GSI) systems aim to partially dissipate the energy before it reaches the foundation of the structure system and are therefore regarded as an important alternative to structural seismic isolation systems. In addition, the use of petroleum-derived waste materials in the GSI systems fills a significant gap in the field of waste recovery. The present study investigates the changes in the dynamic responses of a 5-story building system with and without GSI, using a set of earthquakes classified according to their frequency content. For this purpose, parametric analyses were performed using analytical methods, considering three different earthquake frequency contents and six different GSI thicknesses. Furthermore, an approach for selecting the GSI thickness was suggested. The results generally show that, for structures founded on both natural soil (NS) and GSI systems, the earthquakes with low frequency content produce responses greater than the average responses calculated for all the investigated earthquakes. Although increasing the GSI thickness has a significant effect on attenuating structural responses, increasing this thickness beyond 3 m does not lead to a relatively significant reduction in the dynamic responses of the investigated structural system. Therefore, considering the structural system, NS, rubber-soil mixtures and earthquakes examined in this study, selecting a GSI thickness in the range of 2–3 m (inclusive) may be regarded as a practical approach for mitigating the dynamic responses of the structure since further increments in thickness beyond this range provide only progressively limited improvements in structural responses. Consequently, this research may provide meaningful data for the development of vibration control strategies to improve seismic resilience of structures, and the results are expected to be useful for better understanding of the GSI applications.
- MakaleYalnız künye2026Scopus SJRQ2Reflections of Employees' Digital Addiction Experiences on Workplace Distraction, Safety Perception, and Collective Responsibility: A Phenomenological Study
Doğan, Onur
This study aims to examine how digital addiction based experiences of employees influence attention processes, safety awareness, and collective responsibility in the workplace. It particularly seeks to identify challenges in digitally intensive environments regarding cognitive load, behavioral reflexes, and institutional risk communication. The research employed a phenomenological design with semi- structured interviews conducted with 19 employees from various sectors across Turkey. Criterion sampling was used, and interviews continued until data saturation was reached. All interviews were audio recorded, transcribed verbatim, and analyzed using Colaizzi's (1978) seven step method. Reporting followed the COREQ checklist to ensure rigor and transparency. Thematic analysis revealed three main themes: Cognitive Load and Deterioration in Safety Perception, Behavioral Disconnection and Erosion in Safety Attitudes, and Organizational Silence and Collective Collapse in Risk Awareness. These findings show that digital addiction negatively affects attention, reflexes, safety behaviors, and institutional reporting processes. Digitalization influences not only work efficiency but also employees' safety behaviors and organizational risk communication. Constant digital stimuli cause distraction, disrupt safety practices, and weaken collective responsibility. The study provides insights into how digital addiction transforms workplace safety culture and recommends comprehensive prevention strategies for employers, managers, and policymakers.
AtıfScopus2WoS1OpenAlex1İncele - MakaleAçık Erişim2025Scopus SJRQ1The role of cognitive flexibility and psychological well-being in the effect of mindfulness on problematic internet use
Yazıcı Çelebi, Gülin; Güngör, Sunay; Kaya, Feridun
With the widespread use of digital technologies today, the Internet has become an indispensable part of life but has also led to negative outcomes such as problematic internet use in some individuals. Problematic internet use is seen as a critical risk factor that negatively impacts individuals’ academic, social, and psychological functioning. Research has presented a lot of evidence in recent years that psychological resources, such as mindfulness, cognitive flexibility, and psychological well-being, play a noteworthy role in protecting individuals against such risky behaviors. This study aimed to examine the chain (serial) mediation roles of cognitive flexibility and psychological well-being in the effect of individuals’ mindfulness on problematic internet use. The majority of the participants in this study, using a cross-sectional, correlational design, were female (73.1%), their socio-economic level was moderate (70.4%), and their mothers (69.6%) and fathers (52.3%) had secondary school education. It was found that the majority of the participants used the Internet for 2–4 h a day (44.2%). Participant age ranged between 18 and 26 (Mean = 19.16, SD = 1.52). Data were collected using a Personal Information Form, the Mindfulness Scale, the Cognitive Flexibility Inventory, the Psychological Well-Being Scale, and the Problematic Internet Usage Scale. When the research findings were examined, it was found that mindfulness had a positive significant relationship with cognitive flexibility and psychological well-being. Negative significant relationships were observed between problematic internet use and mindfulness, cognitive flexibility, and psychological well-being. When the mediation analyses of the study were examined, it was determined that both cognitive flexibility and psychological well-being had mediation roles in the relationship between mindfulness and problematic internet use. In addition, it was revealed that cognitive flexibility and psychological well-being had a chain (serial) mediation role in the relationship between mindfulness and problematic internet use. It was determined that as the mindfulness levels of individuals increased, their cognitive flexibility and psychological well-being levels increased, too. On the other hand, it was observed that having high levels of mindfulness, cognitive flexibility, and psychological well-being decreased problematic internet use levels. In addition to these results, it was found that the relationship between mindfulness and problematic internet use was mediated by cognitive flexibility and psychological well-being. The findings obtained from the research were discussed in light of the literature, and various suggestions were made.
AtıfScopus8WoS7OpenAlex10İncele - MakaleAçık Erişim2026Scopus SJRQ1A comparative interventional study on the effectiveness of acceptance and commitment therapy, emotion-focused therapy, and attachment-based therapy in improving emotion regulation among adolescents with digital game addiction
Güngör, Sunay
Background: Digital game addiction is a rapidly developing social and mental health concern that is closely related to emotion regulation difficulties. The present study aimed to compare the effectiveness of acceptance and commitment therapy (ACT), emotion-focused therapy (EFT), and attachment-based therapy (ABT) in improving emotion regulation among adolescents with digital game addiction. Methods: The present study was an interventional study employing a pretest–posttest design and a control group. The sample included 100 adolescents aged 13–18 years who were diagnosed with gaming disorder according to the 11th Revision of the International Classification of Diseases (ICD-11) criteria. Participants were selected using purposive sampling and were assigned to four groups of 25 individuals each, including three experimental groups and one wait-list control group. The 7-item Digital Game Addiction Scale (DGAS-7) and the Regulation of Emotions Questionnaire among Adolescents (REQ-A) were used to gather data. ACT and EFT were administered in eight sessions, whereas ABT was delivered in 10 sessions. Data were analyzed using repeated measures ANOVA in SPSS. Results: It was found that the three therapeutic strategies produced a significant increase in functional emotion regulation scores (internal and external) and a significant decrease in dysfunctional emotion regulation scores compared to the control group (p < 0.001). However, the effect sizes for the ACT and EFT groups were very large compared to the ABT group. There was no significant difference between ACT and EFT; nevertheless, both interventions were significantly more effective compared to ABT at both the posttest and follow-up stages. Conclusion: ACT and EFT are more effective interventions for improving emotion regulation among adolescents with digital game addiction because of their emphasis on psychological flexibility and emotionally profound processing. Although ABT was found to be moderately effective, it can be used as an adjunctive therapy, particularly in cases involving relational problems.
AtıfScopus3WoS3OpenAlex2İncele - MakaleYalnız künye2026Scopus SJRQ2Germination as a Pre-isolation Modification Method for Common Buckwheat Protein Isolate
Gülbahar, Esma; Tunç, Merve Tuğçe; Akdoğan, Arda; Baltacı, Cemalettin; Sarıcaoğlu, Furkan Türker; Parlak, Mahmut Ekrem; Aydın, Engin; Odabaş, Halil İbrahim
This study investigated germination as a pre-isolation modification method to enhance the techno-functional and nutritional properties of common buckwheat (Fagopyrum esculentum Moench) protein. Germination was conducted at two different temperatures (20 and 30 °C) for 24, 48, and 72 h, and isolated proteins were analyzed for their chemical, structural, and functional properties. Results showed that the highest protein yield was achieved at 30 °C for 24 h, though durations exceeding 48 h reduced purity. SDS-PAGE and FTIR analyses confirmed that endogenous protease activity degraded high-molecular-weight proteins and increasing random coil proportions, indicating partial unfolding. SEM imaging revealed that germination transformed the dense protein surface into a porous morphology. Increasing germination time and temperature led to decreased lightness (L*) and hue angle, along with moderate increases in redness (a*), indicating notable changes in the visual appearance of the protein isolates. DSC results showed a decrease in thermal stability (Td) due to structural changes. In addition, germination significantly improved solubility, emulsifying activity, foaming capacity, and water/oil absorption, particularly at the 24 h of germination. Most notably, germination at 30 °C for 24 h increased in vitro protein digestibility from 75.67 to 82.19%. The results show that the germination is a promising approach to enhance the functionality and digestibility of buckwheat protein for potential application in food industry.
- MakaleYalnız künye2026Scopus SJRQ2Utilizing Pollutant Waste Cheese Whey into Low-cost Broth for Bacterial Growth and Protein Production
Alkowlani, Amir Towfiq Hasan; Beldüz, Ali Osman; Çanakçi, Sabriye; Bektaş, Kadriye İnan; Ay, Fulya; Özyurt, Taner; Yıldız, Oktay
Cheese whey (CW), an abundant and nutrient-rich byproduct of cheese production, accounts for approximately 85% of milk volume and is generated globally in quantities reaching 145–200 million tons annually. Despite its biochemical complexity and high organic load, CW remains underutilized in microbial biotechnology. Its pollutant potential is up to 100 times higher than domestic sewage due to extreme biological oxygen demand (BOD), chemical oxygen demand (COD), high nutrient content, and acidity. Untreated discharge causes severe oxygen depletion, damages aquatic ecosystems, degrades soil, and contributes to climate change. This study evaluates CW as a sustainable and cost-effective alternative to synthetic bacterial growth media. Ten bacterial strains were cultured for 17 h in different forms of CW fresh, aged (up to two years), and dried and compared with standard Luria Bertani (LB) medium. Bacterial growth was assessed using optical density at 600 nm (OD₆₀₀), and protein yields were measured in µg/µL. CW supported growth ranged from OD₆₀₀ 2.36–4.46, comparable to 2.53–4.16 in LB, with protein yields between 0.19 and 0.43 µg/µL versus 0.18–0.44 µg/µL in LB. These findings demonstrate that CW can effectively support bacterial proliferation and protein production, offering a novel valorization route for a major agro-industrial pollutant while reducing environmental harm and fermentation costs.
- MakaleAçık Erişim2026Preliminary Study on the Characterization of a Novel Polysaccharide from Enterococcus faecium SL60 Isolated from Siyez Sourdough; [Siyez Ekşi Mayasından İzole Edilen Enterococcus faecium SL60'tan Elde Edilen Yeni Bir Polisakkaritin Karakterizasyonu Üzerine Ön Çalışma]
Genç, Berna
This study reports the production, structural characterization, and preliminary cytotoxicity evaluation of an extracellular polysaccharide (EPS) synthesized by Enterococcus faecium SL60, a strain isolated from traditional Siyez (einkorn) sourdough. Analytical techniques including GC-MS, FTIR, XRD, zeta potential, and elemental analysis were applied to characterize the EPS. The purified EPS was found to be a water-soluble, negatively charged, amorphous heteropolysaccharide predominantly composed of mannose and glucose, with minor proportions of rhamnose, arabinose, galactose, and xylose. The total carbohydrate yield was 7.6 g/L. FTIR confirmed the presence of typical carbohydrate functional groups, while zeta potential analysis indicated a moderate surface charge (−9.71 mV), implying colloidal stability. Cytotoxicity evaluation using the CCD-1079Sk fibroblast cell line showed no significant toxicity at concentrations up to 500 µg/mL. These findings highlight the potential of SL60-derived EPS as a safe bioactive compound with possible applications in functional food development and health-related products.
- BildiriAçık Erişim2019Firm Selection Based on Logistics Risk Factors: A Multiple Criteria Decision Making Approach
Peker, Iskender; Korucuk, Selcuk; Baki, Birdogan
Logistics firms are exposed several domestic and global risks such as variability in demand, shipment damages, earthquakes, and terrorist attacks. The purpose of this study is to provide an approach for selecting a logistics firm based on logistics risk factors according to the manufacturing firms' perspectives. An analytical network process method is utilized to determine risk factors' importance levels and VIKOR method is used to select the logistics firm. The study results show that the most important logistics risk factors are customer and supplier, and the least risky logistic firm is B. It can be concluded that the proposed model enables managers to examine potential risks influencing their logistics activities and select the logistics firm having minimum risk.
- Editöre MektupAçık Erişim2026Scopus SJRQ4Reply to the Letter to the Editor: Assessing the Predictive Value of Kolmogorov–Arnold Networks for the No–Reflow Phenomenon in ST–Segment Elevation Myocardial Infarction: A Comparative Machine Learning Study; [Editöre Mektup Yanıtı: ST Segment Yükselmesi Miyokard Enfarktüsünde No–Reflow Fenomeni için Kolmogorov–Arnold Ağlarının Öngörü Değerinin Değerlendirilmesi: Karşılaştırmalı Makine Öğrenimi Çalışması]
Taşolar, Hakan; Bayramoğlu, Adil; Günen, Mehmet Akif; Levent, Sümeyye; Güral, Yunus; Halisdemir, Nurhan
- MakaleYalnız künye2019Scopus SJRQ2Effect of nano materials additives on fuel properties and combustion characteristics; [Nano materyal içerikli katkıların yakıt özelliklerine ve yanma karakteristiklerine etkileri]
Sezer, İsmet
This study compiled the results of various researches performed on using nanomaterials additives in diesel engine fuels such as diesel, biodiesel, water emulsified fuels and various fuel blends. Three different techniques are used the reduction of the harmful exhaust emissions of the diesel engine. The first technique for the reduction of harmful emissions is improved the combustion by modification of engine design and fuel injection system, but this process is expensive and time consuming. The second technique is the using various exhaust gas devices like catalytic converter and diesel particulate filter. However, the use of these devices affects negatively diesel engine performance. The other technique to reduce emissions and also improve diesel engine performance is the use of various fuel additives. The major pollutants of diesel engine are oxide of nitrogen (NOx) and particulate matter (PM). It is very difficult to reduce NOx and PM simultaneously in practice. The most researches declare that the best way to reduce the emissions and increase the engine performance is the use of nano material additives and water emulsified fuels. The effects on fuel properties and combustion characteristics of different nano material additives in various diesel engine fuels are investigated in this review.
AtıfScopus14İncele - MakaleAçık Erişim2026Scopus SJRQ4Association Between Health Literacy and Mediterranean Diet Adherence Among Adult Women in Türkiye
Çam, Alper Veli; Şik, Elif
Objective: Health literacy is widely recognized as an important determinant of informed health-related decision-making. However, evidence regarding whether health literacy translates into healthy eating behaviors, particularly adherence to the Mediterranean diet, remains limited. This study aimed to examine the association between health literacy levels and adherence to the Mediterranean diet among adult women living in Türkiye. Methods: This cross-sectional study was conducted with 400 women aged 18 years and older residing in Türkiye. Data were collected using a sociodemographic information form, the Turkish Health Literacy Scale–Short Form, and the Mediterranean Diet Quality Index (KIDMED). Health literacy levels were categorized as inadequate, problematic–limited, adequate, and excellent, while Mediterranean diet adherence was classified as low, moderate, or optimal. Ordinal logistic regression analysis was performed to examine the association between health literacy and adherence to the Mediterranean diet, adjusting for sociodemographic variables (age, education, income, and occupation). Findings: Among the participants, 25.3% had inadequate health literacy, 31.8% had problematic–limited health literacy, 34.0% had adequate health literacy, and 9.0% had excellent health literacy. Mediterranean diet adherence was low in 34.5% of participants, moderate in 52.3%, and optimal in 13.3%. The ordinal logistic regression analysis revealed that, after adjusting for sociodemographic variables, one dimension of health literacy (Cognitive Health Literacy) was significantly associated with Mediterranean diet adherence, whereas no significant association was observed for the other dimension. Conclusion: The findings suggest that certain dimensions of health literacy may be associated with adherence to the Mediterranean diet when sociodemographic factors are taken into account. These results highlight the importance of considering both individual knowledge and contextual factors in understanding dietary behavior. Future research should further explore the role of nutrition-specific literacy and structural determinants in shaping healthy eating practices.
- MakaleAçık Erişim2026Scopus SJRQ1A leakage-free analytics framework for subject-wise electrocardiogram-based sleep apnea detection using machine learning
Melek, Negin
Sleep apnea is associated with impaired sleep quality and elevated cardiovascular risk, creating a need for reliable automated screening approaches. Although electrocardiogram (ECG)-based detection methods have shown promising results, reported performance values can be affected by evaluation strategies that allow information leakage between training and testing data. This study investigates ECG-based sleep apnea detection under strict subject-wise conditions using the PhysioNet Apnea-ECG database. Thirty-five annotated single-lead ECG recordings sampled at 100 Hz were divided into non-overlapping 60-s segments according to minute-wise apnea labels. Statistical ECG descriptors and time-domain heart rate variability features were extracted and evaluated using k-nearest neighbors (KNN), support vector machine (SVM), and Random Forest (RF) classifiers. In addition, a lightweight one-dimensional convolutional neural network (1D-CNN) was trained directly on filtered ECG segments. Repeated holdout validation with subject-level train-test separation was adopted, and normalization parameters were estimated exclusively from training data in each repetition to prevent information leakage. Model performance was assessed using accuracy, balanced accuracy, precision, recall, specificity, F1-score, ROC-AUC, Cohen's kappa, and Golden Distance (GD). In the representative subject-wise evaluation, Random Forest achieved the most balanced performance, yielding the highest balanced accuracy (0.70) together with the lowest GD (0.56). Across the repeated subject-wise holdout experiments, SVM achieved the strongest average overall performance, producing the highest mean accuracy (0.72), balanced accuracy (0.69), ROC-AUC (0.77), and Cohen's kappa (0.39), and the lowest mean GD value (0.58). The lightweight 1D-CNN converged stably during training, but its performance on unseen subjects remained lower than that of the handcrafted feature-based models.
- MakaleAçık Erişim2026Scopus SJRQ1The Effect of Fatigue During Search and Rescue Efforts in Debris on the Quality of Cardiopulmonary Resuscitation
Çavuş, Kadir; Tiryaki, Oğuzhan; Tiryaki, Elif; Çelik, Suat; Saçar, Hüseyin Bora
Objectives: Cardiopulmonary resuscitation (CPR), which is used in cases of life-threatening cardiopulmonary arrest, is a physically exhausting procedure. Adding to that, sometimes, even before performing CPR, interventions to rescue the injured person from a challenging environment have caused significant fatigue. In this study, taking a novel research approach, we generated a scenario of fatigue during a rescue from earthquake debris and aimed to measure the effect of that fatigue on the quality of CPR performed by paramedics. Methods: The research followed an experimental design with 2 groups (experimental/control) and 2 measurements (pretest/post-test). The study population was selected using power analysis. The sample, consisting of 84 paramedic students, was randomly divided into 42 control and 42 experimental participants. Current American Heart Association (AHA 2020) and European Resuscitation Council (ERC 2021) guidelines were strictly followed when performing CPR. In order to assess the accuracy of CPR, a General Doctor GD-CPR200S-A (2010 standard) simulator was utilized. The participants were fatigued by practicing the process of extracting and transporting earthquake victims from rubble. A personal information form with 20 questions and a CPR measurement form were used to obtain the data. Results: In the analysis performed to measure the differences between the CPR indicators for the control and experimental groups in the post-test and pretest, the difference in compression (control: 6.5 ± 50.1 and experimental: −10.3 ± 46.0) was not significant. Meanwhile, we found that the difference in ventilation (control: 0.3 ± 5.4 vs. experiment: 8.1 ± 4.6) and the difference in CPR completion times (control: 0.2 ± 1.2 vs. experiment: −0.7 ± 0.7) between the post-test and pretest were significant. Conclusions: There was no significant difference in correct compressions between the control and experimental groups, but there was a significant difference in ventilation and CPR completion times. For this reason, it is recommended to focus on the effect of fatigue on CPR quality, especially on the ventilation process. It is also recommended to include fatigue scenarios in CPR trainings.
AtıfScopus2WoS2OpenAlex2İncele - MakaleAçık Erişim2026Scopus SJRQ2Enhanced cationic dye adsorption using Stenotrophomonas indicatrix -modified MnFe2O4: performance evaluation and adsorption mechanism
Ozdes, Duygu; Dede, Alper; Turfan, Fatma Asya; Seker, Serdal
In this study, MnFe2O4 magnetic nanoparticles were modified with the Stenotrophomonas indicatrix bacteria for the first time in the literature to develop an effective and novel bio-adsorbent for the remediation of toxic cationic dyes, specifically Rhodamine 6G (R6G) and Methylene Blue (MB), from contaminated aqueous media. MnFe2O4 and bacteria-loaded MnFe2O4 were thoroughly characterized using FTIR, XRD, and SEM-EDX analyses. XRD results confirmed that the cubic spinel structure of MnFe2O4 was preserved after bacterial modification, while FTIR spectra evidenced the successful incorporation of biological functional groups, including –NH, –OH, amide, and phosphate moieties, onto the nanoparticle surface. Adsorption performance of the dyes was evaluated in terms of parameters including aqueous solution pH, equilibrium time, bacteria-loaded MnFe2O4 dosage, and initial R6G and MB concentration. After investigating the effect of salt on adsorption efficiency, the applicability of the proposed adsorbent was assessed using real water samples. According to the experimental results, the optimum pH and equilibrium period for the uptake of both dyes were determined to be 8.0 and 60 min, respectively. Kinetic analyses showed that the pseudo-second order kinetic model exhibited a superior fit in representing the adsorption rates of both dyes, while isotherm studies indicated that both Langmuir and Freundlich isotherm models fit the experimental data well. While the adsorption capacities of pure MnFe2O4 for MB and R6G were 19.5 mg g− 1 and 15.3 mg g− 1, respectively, these values reached 67.6 mg g− 1 and 59.5 mg g− 1 for the bacteria-loaded MnFe2O4. The obtained data revealed that bacterial modification significantly increased the adsorption capacity of MnFe2O4, suggesting that the developed bio-adsorbent stands out as an effective and promising candidate for the remediation of dye-contaminated effluents.
- Kitap BölümüYalnız künye2026Prioritising Digital Talent Initiatives in Universities: Evidence From Turkey
Şimşek, Tuğçe; Şimşek, Aybala; Şimşek, Ahmet Bahadır
Universities are under growing pressure to advance digital transformation, yet priorities in digital talent management often remain unclear. This chapter develops a document-based multi-criteria decision framework to identify and compare such priorities across universities of different institutional scale in Türkiye. Drawing on public strategic plans, quality reports, distance education documentation, and staff development texts from Anadolu, Sakarya, and Tarsus Universities, the study constructs a decision matrix covering three initiatives and six evaluation criteria. Criterion weights are calculated through entropy, and initiative rankings are generated with TOPSIS. The findings show that digital infrastructure support has the strongest discriminating power. Strengthening distance education and LMS infrastructure emerges as the top priority, followed by a needs-based in-service training system and a digital competence development programme. The chapter offers a transparent and transferable framework for setting scale-sensitive digital transformation priorities in higher education.
