Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Uzun, Sevda(62)
- Merdan, Mehmet(58)
- Duran, Celal(50)
- Ozdes, Duygu(47)
- Kaygusuz, Abdullah(43)
- Ashyralyyev, Charyyar(38)
- Karsli, Orhan(33)
- Öztürk, Serkan(32)
- Araz, Onur(31)
- Demir, Selim(29)
- Kulakaç, Nurşen(29)
- Dokuz, Abdurrahman(28)
- Arslan, Mehmet(27)
- Baltacı, Cemalettin(27)
- Maden, Nafiz(27)
- Sipahi, Ferkan(27)
- Topal, Fevzi(27)
- Turan, Ibrahim(27)
- Kandemir, Raif(25)
- Kurt, Kemal(24)
- Ozturk, Samet(24)
- Peker, Iskender(24)
- Vural, Alaaddin(24)
- Reis, Hatice Catal(23)
- Yücel, Cem(23)
- Aydin, Faruk(22)
- Baltaci, Cemalettin(22)
- Gücer, Mehmet Ali(22)
- Günen, Mehmet Akif(22)
- Kankal, Murat(22)
- Topal, Meryem(22)
- Karimullah, Suud Sarim(21)
- Uysal, Ibrahim(20)
- Kurnaz, Muammer(19)
- Tuncer, Metin(19)
- Yolcu, Halil(19)
- Çelik, Necati(19)
- Ürkek, Bayram(19)
- Şan, Murat(19)
- Aliyazicioglu, Yuksel(18)
Yayınlar
- MakaleAçık Erişim2025Scopus SJRQ3Development of the Disaster Risk Perception Scale: Evaluation of Its Impact on Disaster Preparedness
Kiymis, Ibrahim; Kaya, Afsin Ahmet
Objectives:Developing a disaster risk perception scale is a critical component of Disaster Risk Management (DRM), enabling the assessment and evaluation of the reactions, behaviors, and risk culture characteristics of individuals living under disaster risk. The objective of this study is to develop a disaster risk perception scale and to assess its effect on disaster preparedness. Methods: A pilot study was conducted with 359 participants, followed by a main study involving 786 participants. All participants resided in Giresun and Elazig, Turkey, the regions recently affected by earthquakes, floods, and landslides. Results:A reliable and valid disaster risk perception scale with 25 items and 5 dimensions (exposure/impact, probability, uncontrollable, worry/fear, and vulnerability) was developed. The disaster risk perception of the participants differed significantly according to their educational level, income level, city of residence, and disaster education. As per the multiple regression analysis, the exposure/impact and worry/fear variables had positive and significant effects on disaster preparedness. Conclusions:For future studies, it is recommended to implement the disaster risk perception scale across diverse disaster types to assess and evaluate the outcomes effectively.
AtıfScopus11WoS9OpenAlex15
İncele - MakaleAçık Erişim2025Scopus SJRQ1Adoption of AI-based order picking in warehouse: benefits, challenges, and critical success factors
Rad, Fakhreddin Fakhrai; Oghazi, Pejvak; Onur, İzmir; Kordestani, Arash
This research assesses the adoption of artificial intelligence (AI)-based batch order picking in a warehouse, focusing on benefits, challenges, and critical success factors. Using customer order data and simulation, the study employs a quantitative approach, combining mathematical and statistical estimations with qualitative examinations centered on interviews with the warehouse staff, its Enterprise Resource Planning (ERP) developer, and the AI developer. The findings of this mixed-method study reveal that the AI-based order-picking system (AI-based system) has improved order-picking efficiency by reducing travel distance and time. Nevertheless, challenges hinder maximum utilization of the system. In addition, the research highlights critical success factors and other benefits of adopting the system tailored to warehouse management. Understanding the lessons learned in this research is essential for businesses seeking to adopt AI to enhance their efficiency.
AtıfScopus13WoS5OpenAlex5İncele - MakaleAçık Erişim2025Scopus SJRQ1Supervised classification-based framework for rock mass discontinuity identification using point cloud data
Günen, Mehmet Akif; Öztürk, Kaşif Furkan; Aliyazıcıoğlu, Şener
Mapping and evaluating rock mass discontinuities using point clouds is a critical task in mining, civil, and geological engineering. Rock discontinuities can significantly impact the integrity, strength, and stability of rock masses. The orientation of these discontinuities is also a key characteristic of the rock mass. Accurate orientation estimation from point clouds enables more precise predictions of rock mass behavior, leading to improved safety, more efficient excavation processes, reduced operational costs, and significant time savings. In this context, a supervised classification-based framework is proposed for calculating orientation parameters from point cloud. Supervised classification plays a crucial role in tasks where a model learns complex patterns from labeled data to accurately predict previously unseen instances. The proposed method consists of eight-steps, including: data collection, pre-processing (data filtering), adaptive neighborhood size selection (omnivariance-based), feature extraction (geometric features), feature selection (Minimum Redundancy Maximum Relevance method), classification (Support Vector Machine), clustering (connected component labeling), and plane fitting to calculate orientation parameters (dip angle and dip direction). The framework was applied to two real-world datasets and one synthetic dataset, which was tested in two different subsampled forms (random and uniform subsampling). The results statistically demonstrated that the technique was effective in detecting and characterizing rock mass discontinuities with high Accuracy, Recall, Precision, and F-Score values ranging from 94.64% to 99.57%. The deviations of the method in the measurements of the dip angle and the dip direction, compared to the manual measurements, range from 1% to 4%, indicating strong agreement with the manual measurements and the existing studies.
AtıfScopus25WoS24OpenAlex26İncele - DüzeltmeAçık Erişim2025Scopus SJRQ2Correction to: Micro-encapsulation exhibits better protection than nano-encapsulation on phenolics before and after in vitro digestion (Journal of Food Measurement and Characterization, (2024), 18, 12, (9890-9905), 10.1007/s11694-024-02927-7)
Şensu, Eda; Altuntaş, Ümit; Gültekin-Özgüven, Mine; Duran, Ayhan; Özçelik, Beraat; Yücetepe, Aysun
The original version of this article unfortunately contained error in co-author’s affiliation. The affiliation of author Ümit Altuntaş were incorrectly given as Department of Food Engineering, Faculty of Chemical and Metallurgical Engineering, Istanbul Technical University, Maslak, Istanbul TR-34469, Turkey but should have been Department of Food Engineering, Gümüşhane University, Gümüşhane, Turkey. The original article has been corrected.
- MakaleAçık Erişim2025Scopus SJRQ3Natural Disasters and Tax Compliance: The Effect of Earthquake Experience on Taxpayer Behaviour in The Example of Adıyaman; [Doğal Afetler ve Vergi Uyumu: Adıyaman Örneğinde Deprem Deneyiminin Mükellef Davranışlarına Etkisi]
Yelboğa, Alim; Özdemir, Hakan; Üyümez, Mustafa Erkan
This study examines the impact of natural disasters, such as earthquakes, on tax compliance behaviour among taxpayers. Using quantitative and qualitative methods, it explores pre-and post-earthquake tax compliance, the role of government services, and changes in taxpayer behaviour. Findings reveal a positive relationship between pre-and post-earthquake tax compliance, while the direct effect of the earthquake experience is limited. Lessons from the earthquake and the impact of government services positively influence tax compliance. The study provides practical recommendations for post-disaster tax policies.
AtıfOpenAlex1
İncele - MakaleYayıncıda açık erişim2025Scopus SJRQ2A quantitative analysis on the effect of crystal parameters on full energy peak efficiency of a coaxial high purity Germanium detector for the energy range 50 keV-2.5 MeV
Çelik, Necati
High Purity Germanium (HPGe) detectors are essential instruments in gamma-ray spectrometry, offering high sensitivity and exceptional energy resolution. The full-energy-peak (FEP) efficiency is a critical parameter that influences the accuracy of activity concentration measurements of radionuclides. This study examines the FEP efficiency of a coaxial HPGe detector, focusing on variations in crystal length, crystal radius, and crystal hole dimensions. For varying crystal lengths, the efficiency values show negligible differences at low energy (50 keV) but significant increases at higher energies, indicating that longer crystal lengths enhance efficiency. Similarly, the efficiency increases with larger crystal radii across all energy levels suggesting substantial efficiency gains even at low energies. However, variations in crystal hole radius and depth, exhibit minimal impact on FEP efficiency across all tested energy levels. These findings highlight that optimizing crystal length and radius is more crucial for changing detector efficiency compared to modifying hole dimensions, providing valuable insights for optimizing Monte Carlo models and detector design.
AtıfScopus4WoS5OpenAlex3İncele - MakaleAçık Erişim2025Scopus SJRQ1Integration of Maqaṣid al-Shari'ah in the Criminal Law Reform to Achieve Justice and Human Dignity
Ibrahim, Zumiyati Sanu; Karimullah, Suud Sarim; Assaad, Andi Istiqlal; Septiani, Rina; Okur, Huseyin
Inthispostmodernera,whentheboundariesbetweenlocalandglobalare increasingly blurred, efforts to build a contextual,ethical,andresponsive criminal justice systemhavebecomeanurgentnecessity.Thisstudyaims to propose a model of criminal law reform based on maqaṣ̣id al-shari'ah that is more humane and just, emphasizing not only the imposition of sanctions or punishments but also the rehabilitation and restoration of offenders.Thisstudyisnormative-juridical,employingadoctrinalanalysis approach and reinforced by various relevant legal theories to provide a philosophical foundation for evaluating the application of maqaṣid al-shari'ahincontemporarycriminallawneeds.Theresultsstatethatthe integration of maqaṣid al-shari'ah in criminal law reform in Muslim-majority countries, including Indonesia, should not be viewed merelyasasymbolicmoderationbetweenreligiouslawandhumanrights, but as a transformative project that requires epistemological courage to overhaul the classical view of legal authority and the meaning of justice. Amidst the wave of globalization that challenges the supremacy of religiouslawanddemandsstrongerprotectionofhumandignity,maqaṣid ispresentnotmerelyaspassivetheologicalvalues,butasactiveprinciples that require that law protect life, reason, freedom, and social welfare in concrete and measurable ways. The path toward integrating maqasid-based criminal law principles into the modern criminal legal systems of majority-Muslim countries is not a short-term project, as it requires a paradigm shift from a textualist approach to a contextual approach, from legalism to humanism, and from conservatism to intellectual courage.
AtıfScopus8OpenAlex2İncele - MakaleAçık Erişim2025Scopus SJRQ1Through the eyes of healthcare professionals: Compassion fatigue and earthquake stress coping strategies of healthcare professionals in the disaster region following the Kahramanmaras centered earthquakes: A case-control study
Emirza, Elif Güzide; Uzun, Sevda; Şenses, Medine
Background: Healthcare professionals serving in the earthquake zone may experience mental problems due to the traumatic events they witnessed. Aim: The aim of this study was to evaluate the effect of working in earthquake-affected areas on compassion fatigue and coping strategies for earthquake stress in healthcare professionals compared to a control group. Methods: This descriptive and correlational study was conducted in three provinces in the northern region of Türkiye. The sample of the study consisted of 146 healthcare professionals working in earthquake-affected regions and 143 healthcare professionals not working in earthquake-affected regions. Data were collected using the ‘Descriptive Information Form’, ‘Compassion Fatigue Short Scale (CF-SS)’, and ‘Coping with Earthquake Stress Scale (CESS)’. Descriptive statistics, t-test for independent samples, Pearson correlation analysis and binary logistic regression analysis were used to analyze the data. Results: Statistically significant differences were found between healthcare professionals working in earthquake-affected regions and healthcare professionals not working in these regions in terms of CF-SS total scores, ‘occupational burnout’ sub-dimension mean scores and ‘seeking social support’ mean scores among CESS sub-dimension mean scores (p <.05). However, no statistically significant difference was found between the mean scores of ‘secondary trauma’ sub-dimension of CF-SS and total-CESS, ‘religious coping’, and ‘positive reappraisal’ (p >.05). A high and positive correlation (r =.805; r =.847; r =.847; r =.695, p <.001) was found between total CF-SS scores and total religious coping, positive reappraisal and seeking social support scores of the participants. In addition, working in the earthquake zone negatively affects positive reappraisal and positively affects seeking social support as a significant predictor (β =.081, OR = 0.922, p <.05; β =.111, OR = 1.117, p <.05). Conclusion: A significant positive relationship was observed between compassion fatigue and coping with earthquake stress. At the same time, it was determined that having worked in the regions affected by earthquakes had a strong positive effect on coping strategies with earthquake stress.
AtıfScopus4WoS3OpenAlex5İncele - MakaleAçık Erişim2025Scopus SJRQ3Investigation of new mixtures based on natural rubber and nitrile-butadiene rubber for high damping base isolation systems
Çavdar, Özlem; Yıldız, Zeynep; Naghshineh, Ali Karimzadeh
High damping rubber isolators (HDRBs), which are popular in base isolation systems, extend the natural vibration periods of structures and increase the energy dissipation capacity of the systems. Thus, they can protect structures from damage that may occur in earthquakes. The difference between HDRBs and other elastomer bearings is the chemical formulation of the rubber used. The aim of this study is to prepare a new rubber mixture that is resistant to seismic loads and has good damping properties for HDRBs. In this direction, rubber mixtures were prepared with three different formulations. The mixture of ingredients used in this study is Natural Rubber (NR), Nitrile Butadiene Rubber (NBR), Carbon Black (CB), process oil, Zinc Oxide (ZnO), Stearic Acid (StA), coumaron resin, protective agent, sulfur and accelerators. Quadruple shear block specimens were produced with elastomers produced with mixtures. Dynamic tests were performed on these samples. Elastomer earthquake isolation bearings with a damping ratio of 6% or greater are classified as ‘highly damped’. In this study, values greater than 10% were obtained for damping ratio values at 100% shear stresses. Experimental and numerical analyses revealed that the damping values of the compounds developed with NBR-based formulations are at an acceptable level for highly damped isolators. In general, it was observed that the damping properties increased from 6% to 12%. Therefore, it is thought that the developed HDRB compounds can be used as elastomers in the construction of seismic isolators with high damping properties.
AtıfScopus4WoS3İncele - MakaleAçık Erişim2025Scopus SJRQ2Intersession Robust Hybrid Brain–Computer Interface: Safe and User-Friendly Approach with LED Activation Mechanism
Aydın, Sefa; Melek, Mesut; Gökrem, Levent
This study introduces a hybrid Brain–Computer (BCI) system with a robust and secure activation mechanism between sessions, aiming to minimize the negative effects of visual stimulus-based BCI systems on user eye health. The system is based on the integration of Electroencephalography (EEG) signals and Electrooculography (EOG) artefacts, and includes an LED stimulus operating at a frequency of 7 Hz for safe activation and objects moving in different directions. While the LED functions as an activation switch that reduces visual fatigue caused by traditional visual stimuli, moving objects provide command generation depending on the user’s intention. In order to evaluate the stability of the system against physiological and psychological conditions, data were collected from 15 participants in two different sessions. The Correlation Alignment (CORAL) method was applied to the data to reduce the variance between sessions and to increase stability. A Bootstrap Aggregating algorithm was used in the classification processes, and with the CORAL method, the system accuracy rate was increased from 81.54% to 94.29%. Compared to similar BCI approaches, the proposed system offers a safe activation mechanism that effectively adapts to users’ changing cognitive states throughout the day by reducing visual fatigue, despite using a low number of EEG channels, and demonstrates its practicality and effectiveness by performing on par or superior to other systems in terms of high accuracy and robust stability.
AtıfScopus2WoS1OpenAlex2İncele - MakaleAçık Erişim2025Scopus SJRQ1Solving the Dynamic Stability Challenge of Automatic Gain-Controlled Phase-Locked Loops: A Robust Alternative via Enhanced SRF-PLL Design and Implementation
Yanarateş, Cağfer; Altan, Aytaç
This study presents a robust alternative to conventional phase-locked loop (PLL) architectures through the design and real-time implementation of an enhanced Synchronous Reference Frame Phase-Locked Loop (SRF-PLL) for single-phase inverter systems. Targeting the inherent dynamic stability limitations of Automatic Gain-Controlled PLLs (AGC-PLLs), the proposed SRF-PLL demonstrates superior performance in transient response and tracking accuracy. Comparative evaluations under diverse dynamic operating conditions—including phase angle jumps, voltage sags/swells, frequency steps, noise, and harmonic distortion—highlight its resilience and adaptability. Experimental results reveal a substantial improvement in dynamic response, achieving 2.5 to 6 times faster settling times depending on the operating condition. Moreover, peak-to-peak oscillations were significantly suppressed, with deviations reduced from 2° to nearly 0° under a 5 Hz frequency step scenario, even in the presence of 3rd order harmonic injection. For a 40° phase angle step, the proposed system achieves a fivefold improvement in attenuation time (0.03 s vs. 0.11 s) compared to the AGC-PLL. Under voltage sag conditions with noise and 3rd order harmonic injection, the enhanced SRF-PLL reduces the attenuation time from 0.2 s to 0.08 s. During voltage swell scenarios, it further improves the response time from 0.025 s to 0.01 s. These findings confirm the practical benefits and efficiency of the enhanced SRF-PLL for applications requiring precise and reliable phase tracking and synchronization.
AtıfScopus20WoS19OpenAlex14İncele - MakaleAçık Erişim2025Scopus SJRQ1Incorporation of ultrasound-assisted treatment in cheese to accelerate ripening of Kaşar cheese: Changes in cheese microbiota, proteolysis, enzyme activities and volatile profiles
Yılmaz, Fırat; Dağdemir, Elif; Hayaloğlu, Ali Adnan
This study aimed to assess the impact of using LAB strains (Lactobacillus helveticus DPC 4571 and Lactobacillus casei ATCC 334) directly or after sonication on the quality and ripening of Kaşar cheese. Experimental cheeses were produced with a combination of cheese starters (Streptococcus thermophilus and Lactobacillus delbrueckii subsp. bulgaricus), adjuncts and sonicated cultures. The cheeses showed remarkable variations in titratable acidity and pH. The bacterial counts showed that sonication was effective on adjunct cultures, causing faster and stronger autolysis of L. helveticus DPC 4571 and an increase in L. casei ATCC 334 during ripening. Cheeses containing adjunct cultures exhibited higher proteolysis, with increased hydrolysis of αs1- and β-caseins. Aminopeptidases activities increased during ripening by adjuncts and sonicated-adjunct cultures. The use of adjunct culture resulted in a greater increase in the free amino acid content. Adjuncts and sonicated-adjunct cultures increased both the quantity and diversity of some volatiles. In conclusion, the inclusion of sonicated culture in the starter system offered a potential approach to accelerate cheese ripening and improve cheese quality.
AtıfScopus10WoS8OpenAlex7İncele - MakaleAçık Erişim2025Scopus SJRQ3Spatial and temporal analysis of seismicity and seismotectonic parameters in Albania region
Ormeni, Rrapo; Öztürk, Serkan; Silo, Erald; Bozo, Rrezart; Hoxha, Ismail; Mucaj, Dionald
A comprehensive analysis of b-value for the Albanian earthquakes was conducted using the instrumental earthquake catalogue of Albanian region. A total of 38,816 seismic events with magnitudes ML> 0.1 on the Richter scale were utilized. Statistical characteristics of the seismicity were examined based on b-value, as defined by the Gutenberg-Richter law. Considering the magnitude completeness (Mc-value) as 2.7, b-value was estimated as 1.09 ± 0.08 and it indicates a normal stress regime in the region. The Mc-value varies from 1.5 to 3.4, and spatial distribution of b-value ranges from 0.79 to 1.16. Higher b-values (> 1.0) were detected in the southernmost part of Albania, whereas lower b-values (< 1.0) were found in the western part, particularly within the Adriatic-Ionian fault zone and the Lushnje-Elbasan-Dibër transversal fault zone, as well as in the south-eastern Leskovik-Erseka-Korça fault zone. Regions with lower b-values correspond to areas with larger-magnitude events, while higher b-values are associated with smaller earthquakes. These findings suggest that b-values across Albania generally round 1.0, with lower values indicating moderate stress accumulation in the western region and within two other active seismic belts. The b-values less than 1.0 may signal areas of increased seismic potential. The occurrence probability of earthquakes across varying magnitudes was found to be very high (99%-100%) for seismic events with ML between 0.5 and 4.5, and lower (less than 95%) for events with ML > 5.5; it varied from 1% to 60% for events with larger ML > 6.0 for different Tr values. Recurrence periods for smaller magnitudes are relatively short (less than 1 year for magnitudes from 1.0 to 4.2), whereas for larger magnitudes (5.0 to 6.0), recurrence periods are longer, about 100 years. The Albanian region is characterized by a complex geological setting and significant seismic activity, and, thus, it can be stated that these types of analyses may be important in terms of seismotectonic evaluation and seismic hazard.
AtıfScopus1WoS1OpenAlex3İncele - MakaleAçık Erişim2025Scopus SJRQ2Enhancing part-based gait recognition via ensemble learning and feature fusion
Yaprak, Büşranur; Gedikli, Eyüp
Gait, a behavior-based biometric feature, has gained increasing popularity in human identification, particularly in surveillance systems, due to its ability to function without physical contact or explicit consent. Traditional silhouette-based methods have demonstrated that different body parts exhibit distinct movement patterns during walking, thereby enhancing recognition accuracy. In this study, we propose an improved part-based gait recognition approach by leveraging ensemble learning on local body regions. The Gait Energy Image (GEI) is segmented into five horizontal parts, and ensemble learning is applied to the convolutional neural network (CNN) responsible for their processing. A separate MetaModel is trained for each body part to integrate the part-based features obtained from ensemble learning and synthesize the most discriminative ones. Additionally, a part-removal process is introduced to mitigate the effects of appearance-based variations by analyzing absolute differences between images with and without variations. The aggregated most distinctive features contribute to robust recognition. We evaluate our proposed approach on the CASIA-B, CASIA-C, and Outdoor-Gait datasets, and experimental results indicate that ensemble learning significantly enhances part-based gait recognition performance under various appearance variations, outperforming several state-of-the-art methods. The datasets and source code are available at https://github.com/busrakckugurlu/Enhancing-Part-based-Gait-Recognition-via-Ensemble-Learning-and-Feature-Fusion/tree/main.
AtıfScopus9WoS3OpenAlex7İncele - MakaleAçık Erişim2025Scopus SJRQ4THE MODERATING ROLE OF PRICE SENSITIVITY AND THE MEDIATING ROLE OF SWITCHING COSTS IN THE MOBILE OPERATOR SWITCHING BEHAVIOR OF UNIVERSITY STUDENTS IN TURKEY; [MODERATORSKA ULOGA CJENOVNE OSJETLJIVOSTI I MEDIJACIJSKA ULOGA TROŠKOVA PROMJENE U PONAŠANJU PROMJENE MOBILNOG OPERATORA KOD STUDENATA SVEUČILIŠTA U TURSKOJ]
Avci, Ibrahim
Purpose – The aim of this research study is to assess the effects of service quality and satisfaction on intentions of university students to switch operators, as well as the moderating function of price sensitivity in these effects. Furthermore, the influence of switching costs as a mediator between operator switching intention and operator switching behavior is investigated. Design/methodology/approach – A quantitative research involving students from a Turkish university was conducted. The research hypotheses were tested using structural equation modeling (partial least squares regression) using data from 425 students. Findings and implications – The analysis revealed that service quality had a positive influence and satisfaction had a negative effect on operator switching intention, with price sensitivity acting as a moderator in the relationship between satisfaction and switching intention. It was also determined that operator switching cost plays a partial mediator role in the link between operator switching intention and behavior. Research findings will help organizations understand the elements that affect switching intentions and behavior. It is proposed that operator businesses pay attention to customer satisfaction and implement retention and acquisition tactics. Limitations – The research was limited to operator switching. Furthermore, the findings are specific to the survey participants and cannot be generalized. Originality/value – The fact that the moderating role of price sensitivity and the mediating role of switching cost are investigated in this research highlights its significance, while the findings in this context make significant contributions to the field by filling a gap in the literature.
- MakaleAçık Erişim2025Scopus SJRQ2Comprehensive Analysis of the Antioxidant and Enzyme Inhibitory Properties and Phenolic Compounds of Phlomis armeniaca: Potential Applicant in Neurodegenerative Diseases
Menevseoglu, Ahmed; Yılmaz, Fırat; Topal, Meryem; Topal, Fevzi
This study investigates the antioxidant and enzyme inhibitory properties of Phlomis armeniaca, a perennial plant native to the eastern and southeastern regions of Turkey. Ethanol extracts of the plant were analyzed using various bioanalytical methods, including Fe3⁺-Fe2⁺ reducing power, Cupric Reducing Antioxidant Capacity, 1,1-diphenyl-2-picryl-hydrazyl (DPPH), and 2,2-azinobis 3-ethylbenzthiazoline-6-sulfonic acid (ABTS) radical scavenging activities, as well as total phenolic and flavonoid content assessments. The results showed that P. armeniaca is rich in phenolic (38.75 ± 0.59 µg gallic acid equivalents/mg extract) and flavonoid compounds (39.34 ± 4.08 µg quercetin equivalents/mg extract). The plant demonstrated significant inhibitory effects on acetylcholinesterase (half-maximal inhibitory concentration [IC50]: 45.00 ± 0.48 mg/mL) and butyrylcholinesterase (IC50: 84.51 ± 0.84 mg/mL) enzymes, indicating its potential use in treating neurodegenerative diseases such as Alzheimer's. The study also highlighted P. armeniaca’s high chlorogenic acid, salicylic acid, 4-dihydroxybenzoic acid, and quinic acid contents, supporting its antioxidant capacity. These findings suggest that P. armeniaca could be a valuable natural resource for developing therapeutic agents to manage oxidative stress and related conditions, warranting further pharmacological exploration.
AtıfScopus5WoS5OpenAlex5İncele - MakaleAçık Erişim2025Scopus SJRQ3EXCITED ELECTRON PRODUCTION AT THE SPPC-BASED ep COLLIDERS VIA CONTACT INTERACTIONS
Caliskan, A.
If a linear electron accelerator is installed into the SPPC (Super Proton–Proton Collider) complex, ep collision options will be available in addition to pp collisions. We consider the production of excited electrons with spin-1/2 at the future SPPC-based electron–proton colliders with center-of-mass energies of 8.44, 11.66, 26.68, and 36.88 TeV. In the ep → e*X → eγX signal process, excited electrons are produced by contact interactions and decay into the photon channel by gauge interactions. Taking into account the corresponding background process, the pseudorapidity and transverse momentum distributions of the final-state particles are plotted. We reported on the discovery, observation, and exclusion mass limits of excited electrons by applying appropriate kinematical cuts best suited for amplifying the signal of the excited electron signature. We also investigated the highest achievable values of the compositeness scale for the discovery of excited electrons at these colliders.
- MakaleAçık Erişim2025Scopus SJRQ2Effects of inspiratory muscle training on 1RM performance and body composition in professional natural bodybuilders
Çelikel, Baha Engin; Yılmaz, Coşkun; Demir, Alper; Sezer, Süreyya Yonca; Ceylan, Levent; Ceylan, Tülay; Tan, Çetin
Background: The effect of inspiratory muscle training on upper limbs One Rep Maximum (1RM) in professional natural bodybuilders is still unclear. Our aim of this study is to investigate the effects of a 6 weeks inspiratory muscle training on 1RM results. Methods: This study included 14 athletes, that had participated in international bodybuilding competitions. Each athlete had been training for minimum of 5 years and at least 5 h per week. The participants were randomly divided into two groups: inspiratory muscle training (IMT) and control (CON) groups. The IMT group and CON group consisted of seven subjects. While the control group continued with the normal training regime, the IMT group additionally performed inspiratory muscle training with the resistance setting of the PowerBreathe® Classic device set to 40% of the participant’s MIP. Prior to and during the 6-week training period, the bench press 1 RM, anthropometry, pulmonary function tests, and maximal inspiratory (MIP) and expiratory (MEP) pressure measurements were obtained. A nutrition protocol developed by a qualified dietician was implemented for each athlete. Results: The mean maximal strength of the respiratory muscle training group changed by 14.39%, whereas that of the control group changed by 9.43% (p = 0.012). The changes in the mean FVC (p = 0.000), FEV1 (p = 0.001), PEF (p = 0.064), MIP (p = 0.001), and maximal expiratory pressure (p = 0.017) were greater in the IMT group. The mean circumferences of the shoulder (p = 0.004), chest (p = 0.008), arm (p = 0.004), and neck (p = 0.003) improved more in the IMT group than in the CON group. A reduction in abdominal measurement was observed in the IMT group (p = 0.039), whereas no notable discrepancy was identified in body fat percentage (p = 0.295). Conclusion: In conclusion we identified that the addition of progressive loading inspiratory muscle training for competition preparation programs in professional natural bodybuilders will further improve their respiratory function, respiratory muscle strength, maximal strength, and muscle development. This research provides valuable insights into how IMT influences bodybuilding training outcomes, potentially guiding future interventions and program designs to better support strength development and body composition in bodybuilding training contexts.
AtıfScopus12WoS13OpenAlex14İncele - MakaleAçık Erişim2025Scopus SJRQ1Effect of heating rate on thermal inactivation kinetics of Escherichia coli O157:H7 in ground beef
Ozturk, Samet; Huang, Lihan; Hwang, Cheng-An; Sheen, Shiowshuh
The objective of this study was to investigate the effect of heating rate on thermal inactivation kinetics of microorganisms in food, testing the survival of Escherichia coli O157:H7 in ground beef during isothermal and dynamic heating. A 4-strain cocktail of E. coli O157:H7 was inoculated to irradiation-sterilized ground beef (10 % fat) and then subjected to isothermal heating (55–63 °C) and dynamic heating (20–63 °C). One-step analysis was used to determine the kinetic parameters. Different degrees of increased thermal resistance were observed in E. coli O157:H7 during dynamic heating. In comparison to isothermal heating, slight increase in the thermal resistance was found during fast heating (1.2–1.8 °C/min). However, slow heating (0.3–0.9 °C/min) led to significantly increased thermal resistance due to heat adaption at temperatures below 61.3 °C, but E. coli O157:H7 became more sensitive to heat above this temperature, suggesting that the increased resistance may diminish after reaching a critical temperature. To account for the increased heat resistance during dynamic heating, a unified kinetic model was developed and validated by applying one-step dynamic analysis, resulting in more accurate kinetic parameters to describe the survival curves of all heating rates. This study demonstrated that the kinetic parameters derived from isothermal conditions may not be applicable to dynamic conditions. It is necessary to consider the effect of heating rate and to determine the thermal inactivation kinetic parameters under dynamic conditions. It also demonstrated the advantage of using one-step dynamic analysis for evaluating thermal processes. The results of this study may be particularly useful for designing slow-heating processes to ensure proper cooking of products.
AtıfScopus6WoS5OpenAlex6İncele - MakaleYalnız künye2025Scopus SJRQ2Optimization of steel diffusion bonding processes using the Taguchi method
Serkan Yıldırım, Mehmet; Aydın, Kemal; Kalyon, Ali; Kaya, Yakup
This study examines the diffusion bonding behavior between 316L stainless steel and H13 tool steel, focusing on the effects of key process parameters. Specifically, the influence of bonding pressure, bonding temperature, and holding time on joint quality and mechanical performance is systematically investigated. The Taguchi optimization method was employed to determine the optimal bonding conditions, with shear strength serving as the primary performance indicator. The bonding interfaces were characterized through scanning electron microscopy to analyze microstructural evolution and diffusion behavior. Analysis of variance was conducted to assess the influence of process parameters on shear strength, identifying temperature as the most significant factor. The optimum shear strength was experimentally validated, and a confidence interval was calculated to ensure statistical reliability. The results demonstrated that higher bonding temperatures and moderate pressures led to improved diffusion at the interface, enhancing joint integrity. The findings contribute to a better understanding of the diffusion bonding process and its potential for high-performance applications in aerospace, biomedical, and tooling industries.
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