Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Gul, Muhammet(110)
- Güler, Ömer(70)
- Akkurt, Nevzat(69)
- Serdar, Osman(57)
- Yucesan, Melih(55)
- Celik, Erkan(53)
- Tekin, H.O.(52)
- ALMisned, Ghada(49)
- Bulut, Hasan(49)
- Baskonus, Haci Mehmet(48)
- Paksoy, Mehmet Yavuz(46)
- Yildirim, Numan(45)
- Kocabaş, Mehmet(41)
- Yildirim, Nuran Cikcikoglu(41)
- Zengin, Gokhan(40)
- Alataş, Mevlüt(39)
- Ince, Muharrem(38)
- Benzer, Fulya(37)
- Mete, Suleyman(34)
- Aslan, Naim(33)
- Kutlu, Banu(33)
- Yildirim, Ozal(33)
- Topal, Murat(32)
- Tanyol, Mehtap(30)
- Batan, Nevzat(28)
- Özkul, İskender(28)
- Kök, Mediha(27)
- Utku, Anıl(27)
- Can, Erkan(26)
- Danabas, Durali(26)
- Sulaiman, Tukur Abdulkadir(26)
- Ates, Mehmet(25)
- Ezer, Tülay(25)
- Guler, Omer(25)
- Kutluyer, Filiz(25)
- Say, Yakup(25)
- Serin, Faruk(25)
- Erguven, Gokhan Onder(24)
- Onat, Onur(24)
- Cakilcioglu, Ugur(23)
Yayınlar
- MakaleAçık Erişim2025YOLOv8 for Road DamageRecognition: Deep Learning-Based Segmentation and Detection System
Agdas, Mehmet Tevfik; Arik, Kaan
Road surface detection is critical for improving traffic safety and reducing road maintenance costs. Because traditional methods are time-consuming and costly, deep learning-based image processing techniques offer an important alternative in this field. This study aims to develop a model that automates the detection and segmentation of road surface defects such as potholes, manhole covers, and culverts using deep-learning-based image processing techniques. In this study, a dataset previously used in the literature was preferred. It was observed that object detection was performed using a dataset from the literature. In this study, both object detection and object segmentation were performed using different parameters. To prove the success of object segmentation, both object detection and segmentation were performed using the YOLOv8 algorithm, which has previously obtained successful results. AdamW optimization and Auto Batch parameters were selected for this study. With these parameters, object detection was first performed with the YOLOv8s model, which is one of the variances of the YOLOv8 algorithm with the most successful results in the literature, and a successful 92.8% mAP@50 performance value was obtained according to the sources in the literature. In this study, the YOLOv8n, YOLOv8s, YOLOv8m, and YOLOv8l variance models of the YOLOv8 algorithm were used with the preferred parameters, and segmentation was performed. In object segmentation, a map@50 performance value of 90.9% in all classes and 99.1% in culverts was obtained using the YOLOv8l model. A map@50 performance value of 89.1% for pothole segmentation and 88% for manhole cover segmentation was obtained using the YOLOv8s model. The results of the analyses showed consistency in precision and recall values. These findings contribute significantly to improving road safety, reducing maintenance costs, and supporting sustainable urban infrastructure. Future research could explore integrating multiple data sources and adapt these models to more complex road conditions.
AtıfOpenAlex1
İncele - MakaleAçık Erişim2025Antigenotoxic Effects of Stachys viscosa (Lamiaceae), a potential medicinal plant in Drosophila melanogaster
Karabulut, Aygul Kilic; Açar, Mikail
This research aimed to examine the anti-genotoxic properties of Stachys viscosa, a plant of the Lamiaceae family, which has medicinal and aromatic properties and is widely used in cosmetics, food, and pharmaceutical industries. The Drosophila wing somatic mutation and recombination test (SMART), an in vivo tool for evaluating somatic mutation and recombination, was employed. The antigenotoxic effect of the S. viscosa plant against mitomycin C (MMC) mutagen was investigated. The study evaluated doses of 5 mg, 15 mg, 45 mg, and 60 mg of S. viscosa, concluding that doses of 45 mg and 60 mg effectively mitigated DNA damage induced by MMC. At doses of 45 mg and 65 mg, the total number of spots caused by MMC was suppressed by 8.21% and 13.17%, respectively. The data collected indicate that the S. viscosa plant possesses certain anti-genotoxic properties.
AtıfWoS2OpenAlex2
İncele - MakaleYalnız künye2025Scopus SJRQ1Trade openness, inequality, and internal conflict: global evidence from a dynamic panel analysis
Ates, Erdem
PurposeThis study investigates how trade openness influences internal conflict, emphasizing the moderating role of income inequality. It aims to clarify whether the benefits of globalization translate into domestic peace or exacerbate internal unrest when income distribution is unequal.Design/methodology/approachUsing an unbalanced panel of 126 countries from 1999 to 2022, the study applies a dynamic panel data framework based on two-step System Generalized Method of Moments (GMM) estimators. This approach accounts for potential endogeneity, autocorrelation, and heterogeneity across countries. Robustness tests include alternative lag structures and difference GMM estimations.FindingsEmpirical results reveal that trade openness and GDP per capita significantly reduce the risk of internal conflict, supporting the liberal peace hypothesis. In contrast, higher income inequality, inflation, democracy index, market concentration, and external conflict increase conflict risk. The findings confirm the embedded liberalism thesis, indicating that trade promotes peace only when accompanied by redistributive domestic policies that mitigate inequality.Research limitations/implicationsThis study is subject to several limitations. While it offers robust empirical findings, the use of panel data limits the ability to capture country-specific dynamics and institutional nuances. Moreover, internal conflict is a multifaceted phenomenon influenced by non-economic factors not fully addressed in the model. Despite these limitations, the results provide valuable insights for policymakers, suggesting that trade openness alone may not ensure peace without addressing domestic inequality. Future research may benefit from disaggregated analyses or mixed-method approaches to better understand the country-level mechanisms linking globalization and internal conflict.Practical implicationsThe results suggest that policymakers should complement liberalization policies with inclusive welfare measures and skill-based interventions to ensure that trade benefits are broadly shared, preventing distributional grievances that may lead to instability.Social implicationsThis study highlights the social risks of uneven globalization. While trade can promote economic growth, its benefits must be distributed fairly to prevent societal fragmentation. High income inequality can erode trust, deepen social divisions, and increase the likelihood of unrest. Furthermore, democratization without strong institutions may fail to foster cohesion, especially in developing societies. These findings stress the importance of inclusive development policies that promote both economic opportunity and social equity to ensure long-term internal stability and reduce the risk of conflict.Originality/valueThis study contributes to the literature by integrating trade theory and conflict analysis within a dynamic panel framework, offering one of the few cross-country empirical examinations of how trade openness, inequality, and internal conflict interact over time.
AtıfWoS2OpenAlex3İncele - MakaleAçık Erişim2025Scopus SJRQ3A never-ending story of an identity crisis or a creative reformulation of an Alevi-mindset? What the case of Alevi youth in the German diaspora suggest today?
Gueltekin, Ahmet Kerim
The Alevi movement, originating more than three decades ago in Turkey and the Western European diaspora, has led to significant social and cultural shifts within Alevi communities. This movement witnessed the emergence of Alevi associations, increased religio-political activities, and a fervent search for a redefined Alevi identity. The quest for a comprehensive understanding of Alevi identity remains a contested debate, prominently reflected within Alevi youth, who navigate complex socio-cultural landscapes and encounter challenges in defining their identity amidst competing narratives and associations. This paper examines the identity formation strategies of young Alevis in Berlin, drawing on ethnographic fieldwork conducted between 2021 and 2023. Contrary to mainstream portrayals of Alevi youth experiencing a loss of identity, this study argues for the presence of continuity dynamics, emphasising inherited Alevi mindsets and emotions. Through interviews and analysis of a documentary produced by Berlin Alevi youth, the paper explores new narratives about Alevi history, sociology, and theology constructed by young Alevis, highlighting their role in shaping contemporary Alevism in Germany. This research contributes original data and discussions to the existing literature on Alevi youth, shedding light on their evolving identities and the dynamics of Alevi discourse in diasporic settings.
AtıfWoS4OpenAlex3İncele - MakaleYalnız künye2025The effect of electromagnetic fields on building materials: The case of base stations
Baran, Zeki; Polat, Alper
This study investigates the electromagnetic field (EMF) permeability characteristics of widely used construction materials to determine their effectiveness in electromagnetic insulation against radiation emitted by base stations. Field measurements were conducted at 81 base stations located in the city center of Diyarbak & imath;r in accordance with the standards of the Information and Communication metal, lead, PVC, XPS, and recycled concrete. The results indicate that the highest average electromagnetic field intensity was measured in free-space conditions (3.37 V/m), whereas lead exhibited the most effective shielding performance with an average value of 1.01 V/m, corresponding to an attenuation of approximately 70%. Metal sheets also showed strong shielding capability with an average value of 1.29 V/m. Among conventional materials, recycled concrete demonstrated lower electromagnetic permeability (2.13 V/m) compared to standard concrete (2.60 V/m). Thickness-dependent measurements revealed that increasing recycled concrete thickness from 3 cm to 7 cm reduced electromagnetic field intensity from up to 2.93 V/m to as low as 1.64 V/m, representing a reduction of approximately 44%. Measurements conducted inside and outside the safety distance further confirmed that EMF levels outside the safety distance can be more than twice those measured inside. Overall, the findings demonstrate that material type, thickness, and safety distance play a critical role in reducing electromagnetic exposure. Recycled concrete emerges as a sustainable and effective alternative for electromagnetic shielding in building design.
- MakaleAçık Erişim2025Does Nepotism Trigger Quiet Quitting? A Research on Local Governments
Uyan, Umut; Ibin, Adil
The concept of quiet quitting, which denotes a cognitive and/or emotional, if not physical, detachment, has recently become one of the most frequently studied topics in organizational psychology. The term refers to performing only the tasks stipulated in job description with minimum organizational commitment and not going beyond that. Due to the detrimental effect of quiet quitting on both individual and organizational performance, it is crucial to study the phenomenon in depth. By referring to the organizational justice perspective, the study is designed to determine whether one of the negative employee experiences, nepotism, in local governments trigger quiet quitting. The main assumption of the research is that nepotism deteriorates the sense of justice, which leads employees to quit quietly. Structured questionnaires were administered to 259 local government workers in Adana. The results suggest that exposure to nepotism triggers quiet quitting in local governments where preferential treatments are allegedly pervasive. The study is expected to guide managers in establishing effective human resources practices in such institutions.
AtıfWoS4OpenAlex3TR Dizin1İncele - MakaleAçık Erişim2025Scopus SJRQ1Rejuvenation of Recycled Asphalt Binders with Bio-Oils from Waste Biomass Pyrolysis
Yalcin, Beyza Furtana; Yilmaz, Mehmet; Yalçin, Erkut; Altundogan, Hamdi Soner
This study evaluates the effects of using bio-oil obtained from waste biomass on the physical properties, rheology, fatigue, and rutting of recycled asphalt binder. In addition, the aim of this study is to provide benefits to the environment and the economy by reusing waste materials. The bio-oils produced were produced by the pyrolysis method. B70/100 pure bitumen was chosen as the reference binder for the rejuvenation of the selected RAP binder. To ensure its properties, five different rejuvenators (two commercial + three bio-based rejuvenators) were added to the aged bitumen obtained from recycled asphalt pavement (RAP) at different rates. The produced bio-oils were compared with commercial products. The first goal of the study is to produce rejuvenators from waste materials, and the second is to achieve similar or better results with commercial rejuvenators by producing rejuvenators from waste materials. When the test results are examined, it can be seen that the aged binder was rejuvenated to the desired hardness by adding rejuvenator to it. It is seen that the penetration value of the aged binder increased by the addition of rejuvenator, whereas the softening point and viscosity values decreased.
AtıfWoS1OpenAlex1İncele - MakaleAçık Erişim2025EFFECT OF GRAPHITE AND MAX PHASE ON THE THERMAL AND DIELECTRIC PROPERTIES OF N-VINYL CARBAZOLE AND BENZYL METHACRYLATE COPOLYMER
Barim, Esra; Gundogdu, Emrah
In this study, the P(N-vinyl carbazole-co-benzyl methacrylate) copolymer was synthesized, characterized by FT-IR/1H-NMR spectroscopic methods, and its composition was calculated from 1H NMR spectra. Composites of the copolymer with four different ratios of graphite (GR) and MAX phase (Ti3AlC2) by weight were prepared to obtain functional and novel electronic components for energy storage applications. Scanning electron microscopy, X-ray diffraction analyses were performed for some samples. Differential scanning calorimetry, thermogravimetric analysis curves were used to determine the thermal behavior of the materials. It was concluded that the composite with the highest glass transition temperatures and thermal stability was the composite with 10wt%GR/10wt%MAX additive. The thermal degradation kinetics of the copolymer and the composite containing 10wt%GR/10wt%MAX were investigated by applying the Flynn-Wall-Ozawa (FWO), Kissinger-Akahira-Sunose (KAS) methods and it was found that the thermal degradation activation energy of the composite was lower than that of the polymer. The dielectric properties of the materials were investigated at room temperature and between 0.1 kHz and 5 kHz. At 1 kHz the dielectric constants of the copolymer and 10wt%GR-doped composite were found to be 2.22 and 12.31, respectively. The composites doped with 10wt%GR and 10wt%GR/10wt%MAX were confirmed to be semiconductors.
- MakaleYalnız künye2025Scopus SJRQ2Morphometric constraints on tectonic activity and landscape evolution in the Uludağ Range, NW Türkiye
Sançar, Taylan; Karabacak, Volkan
The Uluda & gbreve; Range of northwest T & uuml;rkiye forms a key tectonic boundary between the North Anatolian Fault Zone and the Western Anatolia Extensional Region, where active deformation is expressed across a network of strike-slip and normal faults. To investigate how fault segmentation and kinematics control landscape evolution in this complex orogen, we integrate high-resolution morphometric analysis with paleoseismological data. We extracted key morphometric indices-including Delta-relief, Delta-elevation, Delta-gradient, Delta chi, hypsometric integral, channel concavity (m/n), normalized channel steepness (ksn), and knickpoint distribution-from 10-meter DEMs using open-source geomorphic toolkits. Our results demonstrate pronounced spatial variability in geomorphic signatures and tectonic activity across four divide segments (DS). DS01, associated with the right-lateral Ulubat Fault, exhibits exceptional morphometric stability and minimal disequilibrium, in line with long earthquake recurrence intervals and low Holocene slip rates. In contrast, DS02 and DS03-bounded by the Bursa and So & gbreve;ukpinar faults-display chi-based divide migration and subtle landscape adjustment. DS04, influenced by the & Idot;neg & ouml;l and Oylat faults, is characterized by elevated channel steepness, dense knickpoint clustering, and southward divide migration, collectively indicating ongoing uplift and transient drainage adjustment. The strong correspondence between morphometric disequilibrium and documented earthquake recurrence patterns highlights the critical value of integrating geomorphic and paleoseismological datasets. Our findings demonstrate that only through the convergence and cross-validation of multiple independent metrics can the segmented imprint of active deformation be reliably detected-particularly where landscape response is temporally offset from fault activity. The methodological framework developed here provides a robust template for quantifying active structures and their geomorphic consequences and can be widely applied to other tectonically complex mountain belts for seismic hazard assessment and landscape evolution studies.
AtıfWoS2OpenAlex2İncele - MakaleAçık Erişim2025On Wijsman fρ-Statistical Convergence of Order α of Modulus Functions
Turan, Gulcan Atici; Et, Mikail
In the present paper, we introduce and investigate the concepts of Wijsman f rho-statistical convergence of order alpha and Wijsman strong f rho-convergence of order alpha. These notions are defined as natural generalizations of classical statistical convergence and Wijsman convergence, incorporating the tools of modulus functions and natural density through the function f. We provide a detailed analysis of their structural properties, including inclusion relations, basic characterizations, and illustrative examples. Furthermore, we establish the inclusion relations between Wijsman f rho-statistical convergence and Wijsman strong f rho-convergence of order alpha, showing conditions under which one implies the other. These notions are different in general, while coinciding under certain restrictions on the function f, the parameter alpha, and the sequence rho. The results obtained not only extend some well-known findings in the literature but also open up new directions for further study in the theory of statistical convergence and its applications to analysis and approximation theory.
AtıfWoS1OpenAlex1İncele - MakaleYalnız künye2025Scopus SJRQ4Detection of PRRS virus in housefly (Musca domestica) in a pig farm in ofPontastacusleptodactylus
Noh-Cuxim, Gladys; Ayora-Talavera, Guadalupe
sid esr le sed direcly orin irectlyo theenvironment auseporcine ser us respiratoryproblem inandn ture reproductDMT iveres dues syndromemixed withvirus ein quatic environment adverse ly affect aquat c organisms and housefly (Musca domestica) in a pig farm. To know the porcine respiratory and reproductive syndrome virus circulation in the iseffectiscarredtohumansthroughhefoodchainInhis farm, 1277 blood samples, and 26 samples of oral fluids from udy oxidative stress response induced by DMT pesticide n ccontasta us leptoda tylus were nvestigated For this purpose, pigs housed in pens were taken to detect the nucleic acid of the porcine respiratory and reproductive syndrome virus using real xidativestress and antioxidantparametersThiobarbiuric acid time RT-PCR test. Three-hundred flies were collected, using an entomological net, and 50 samples of 6 flies each were formed activesubstance(TBARS),Glutathione(GSH), Superoxide smuase (SOD),catalase(CAT) andglutathionepeoxidase Data was analyzed using descriptive statistics. From the sera tested, 95.74% (1224/1277) were positive in the ELISA test. 17535and70mgL1concetratonsat24and96hours ereinvestgated. ResultsweedeterminedusngELISAkits syndrome virus was detected in 34.6% (9/26) of the oral fluids iso significat differencewasobservedinGSHlvelandSOD PCR test allowed detecting of the porcine respiratory and
- MakaleYalnız künye2025Scopus SJRQ4The profile of fatty acids in the gametes of brook trout (Salvelinus fontinalis) ofduring the spawning period under culture conditions
Kocabas, Mehmet; Kutluyer-Kocabas, Filiz; Basçinar, Nadir; Özçiçek, Esin; Kirmizikaya-Özmen, Gorkem; Yilmaz, Okkes
The fertilization and subsequently embryo and larvae development are linked to gamete quality and FA (fatty acid) content is one of the specific factors affecting egg or sperm quality. Hence, FA profile of gametes (egg and sperm) was documented in brook trout (Salvelinus fontinalis) under cultivation. FAs were detected and measured using gas chromatography. These results indicated that a total of 26 and 22 FAs were determined in egg and sperm, respectively. The levels of PUFAs were determined in nearly identical quantities in both egg (47.57%) and sperm (47.53%). DHA (Docosahexaenoic acid), LA (Linoleic acid), EPA (Eicosapentaenoic acid) and ARA (Arachidonic acid) were predominant PUFAs for egg and sperm. Interestingly, vaccenic acid (C18:1 n-11) (24.07%) was major FAs in egg. In conclusion, the analysis of fatty acids in broodstock gametes contributes valuable insights into the dietary requirements necessary for effective aquaculture breeding programs.
- MakaleAçık Erişim2025Advanced Classification of Poxvirus-Based Skin Diseases Using Deep Learning Techniques
Arik, Kaan; Agdas, Mehmet T.; Korkmaz, Adem; Kosunalp, Selahattin; Iliev, Teodor
Viral infections, especially those of the poxvirus family, present significant diagnostic challenges due to their similar clinical symptoms. This study proposes an innovative deep learning-based approach to classify six categories of poxvirus-related skin diseases: chickenpox, cowpox, healthy, measles, monkeypox, and smallpox. A dataset of 9,120 augmented images was used to train, validate, and test three advanced deep-learning models-YOLOv8, YOLOv5, and ResNet32. Among the models, YOLOv8 demonstrated superior performance, achieving an accuracy of 99.80%, precision of 99.28%, and recall of 99.14%, significantly outperforming YOLOv5 and ResNet32. The results underscore the potential of YOLOv8 in medical image analysis, providing a robust and efficient tool for the early detection and accurate classification of viral skin diseases. Comparisons with related studies highlight the effectiveness of the proposed approach, making it a state-of-the-art solution for improving diagnostic accuracy in healthcare. Future work will focus on extending the dataset and evaluating the model's applicability in real-time clinical environments.
AtıfOpenAlex1İncele - MakaleYalnız künye2025Scopus SJRQ2Impact of green innovation on environmental issues: Findings from BRICS-T countries based on spatial analysis
Han, Ayşegül; Pehlivan, Ceren; Konat, Gökhan; Koncak, Ahmet
This study examines the impact of green innovations on environmental sustainability in BRICS-T countries between 2008 and 2021. Using indicators such as renewable energy consumption, R&D investments, industrial design activities, and carbon emissions, the analysis employs both conventional and spatial panel estimation techniques. The findings reveal that investments in renewable energy play a crucial role in reducing carbon emissions and positively contribute to environmental sustainability. However, the effectiveness of environmental innovation policies and R&D expenditures in mitigating emissions remains limited, particularly in the short term. Additionally, industrial design activities are identified as a significant contributor to rising emissions, highlighting the need for a transition toward more sustainable industrial practices. The study also uncovers spatial dependencies among countries, demonstrating that carbon emissions in one nation can influence those in neighboring countries, emphasizing the necessity of regional cooperation and coordinated environmental policies. Based on these findings, the study provides policy recommendations to enhance the effectiveness of green innovations, stressing the importance of increasing investments in renewable energy, aligning R&D expenditures with environmentally sustainable technologies, and promoting sustainable industrial practices across BRICS-T countries.
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İncele - BildiriAçık Erişim2025LLM-Based Video Analytics Test Scenario Generation in Smart Cities
Yilmazer, Merve; Karakose, Mehmet
Rapid advances in the field of artificial intelligence have made significant contributions to the automation of software development and testing stages. Software created for use in various fields is tested with test scenarios created manually by software test experts or using test automation. Testing large-scale software with these methods complicates the testing phases because it requires increased human intervention and includes complex applications. In this study, an LLM-based scenario generation framework enhanced with prompt engineering is proposed for testing software to be used for video analysis in smart cities and smart campus areas. Thus, software test scenarios are created by strengthening large language models that are fast, flexible and have high learning ability using prompt engineering techniques. Test scenarios produced through LLM reinforced with prompt engineering techniques were evaluated with rarity and reality metrics and it was determined that more robust scenarios were produced compared to randomly generated test scenarios in the relevant field.
AtıfScopus3OpenAlex3İncele - MakaleYalnız künye2025Scopus SJRQ2Green synthesis of environmentally friendly Ag/AgCl nanoparticles for use as solid phase extraction materials
Kurnaz Yetim, Nurdan; Hasanoğlu Özkan, Elvan; Aslan, Naim; Koç, Mümin Mehmet; Nartop, Dilek; Özcan, Cemile
Green synthesis is a prominent procedure used to easily and environmentally friendly fabricate nanostructures and nanoparticles (NPs), without complex instrumentation, intricate procedures, and harmful chemicals. This study investigated the green synthesis of silver NPs (AgNPs), with Aronia melanocarpa fruit extract as the reducing agent. Following synthesis optimization, AgNPs were characterized using a range of analytical techniques, including UV–Vis, XRD, SEM-EDX, BET, and TEM analyses. Based on the characterization results, an Ag/AgCl hybrid structure was formed. The Ag/AgCl NPs obtained were utilized as adsorbents to remove Cd(II) and Pb(II) heavy metals. The experimental factors that were optimized included pH (5.5), sample volume (5 mL), eluent type and concentration (2 M HNO3), adsorbent amount (5 mg), and extraction time (30 min). Under optimized conditions, the limits of detection were determined to be 9.6 and 4.8 µg/L for Pb(II) and Cd(II), respectively. These limits were established within a concentration range of 50–3,000 µg/L.
AtıfScopus3WoS3OpenAlex3
İncele - Derleme MakaleYalnız künye2025Scopus SJRQ2Is sexual function impaired in patients with primary headaches? A systematic review of observational studies
Ataş, Kübra; Kaya Mutlu, Ebru
Introduction: Primary headaches, particularly migraine and tension-type headaches, as chronic and painful conditions, have a significant impact on individuals' health and overall quality of life, including aspects such as sexual health parameters. Objectives: The aim of this study was to review observational studies and to summarize the presence of sexual dysfunction in patients with primary headache and to discern whether it is more common in patients with primary headache than in healthy control subjects. Methods: Observational studies published between January 1, 2000, and May 21, 2023 were searched in Medline (PubMed), Web of Science, Scopus, and EBSCO. This review included 23 observational studies that evaluated sexual dysfunction with or without comparison with healthy control subjects. Results: As a result, the mean Female Sexual Function Index score, a score of <26.55 indicating sexual dysfunction, ranged from 19.25 ± 8.18 to 27.5 ± 7.5 in patients with primary headache. The prevalence of sexual dysfunction and erectile dysfunction was found to be between 10.7% and 93.75% in female patients and between 54.83% and 80% in male patients. Both migraineurs and tension-type headache sufferers had statistically significantly lower sexual function scores in females and lower erectile function scores in males compared with healthy control subjects. Conclusion: Sexual function is significantly affected in patients with primary headache, which is a chronic painful disorder. Therefore, it is very important to ask these patients about their sexual health and, if necessary, to seek support from a sexual health professional. Additionally, future studies may prioritize tension-type headaches and male patients due to the limited amount of research available on these subjects.
AtıfScopus1WoS1OpenAlex1İncele - BildiriYalnız künye2025Scopus SJRQ4A Hybrid Machine Learning Architecture for Acoustic Fault Diagnosis in Electric Motors: Offline and Online Modes via Mobile Phone
Yordanov, Nikolay; Zhilevski, Marin; Mikhov, Mikho; Ertargin, Merve
This paper proposes a hybrid ML architecture for non-invasive acoustic fault diagnosis in electric motors and machines using a.NET MAUI cross-platform mobile app for short audio capture (5-20s), audio-to-image transformations and dual-mode inference: embedded ML.NET/ONNX models for offline preliminary detection and Azure ML-hosted deep CNN/RNN for online probabilistic multi-fault analysis. The primary objective of this paper is to demonstrate the benefits of the proposed architecture and to show the specific tools which can be used for implementation. Architectures (embedded, cloud, hybrid) are evaluated by listing main advantages and disadvantage, highlighting hybrid approach that combines offline resilience, reduced latency and keeping the possibility for complex analysis by using online hosted model. Sample mobile application design is added to showcase the proposed user experience.
- MakaleAçık Erişim2025Scopus SJRQ1Seismic Foresight: A Novel Multi-Input 1D Convolutional Mixer Model for Earthquake Prediction Using Ionospheric Signals
Uyanik, Hakan; Kokum, Mehmet; Senturk, Erman; Freeshah, Mohamed; Ozcelik, Salih T. A.; Halil Akpinar, Muhammed; Celik, Serenay; Sengur, Abdulkadir
This study proposes a novel deep learning approach for predicting significant earthquakes (Mw ≥ 5.0 ) in Turkey using ionospheric Total Electron Content (TEC) data and space weather indices. ConvMixer is a lightweight CNN architecture that blends spatial and channel information using depthwise convolutions and pointwise layers. Inspired by vision transformers, it offers efficient image classification with fewer parameters and high performance. We developed a multi-input one-dimensional convolutional mixer (MI-1D-ConvMixer) model to classify TEC data from the preceding five consecutive days as either precursory to an earthquake on the 6th day or normal. The model incorporates six inputs: five 1D TEC signals and one 1D space-weather index array, including the global geomagnetic index (Kp), storm duration distribution (Dst), sunspot number (R), geomagnetic storm index (Ap-index), solar wind speed (Vsw), and solar activity index (F10.7) are also utilized to reveal non-seismic related pre-earthquake ionospheric variations. Our methodology involves two stages: 1) a preprocessing stage to enhance TEC signals and 2) an end-to-end training of the MI-1D-ConvMixer model. The model architecture features depth-wise and point-wise convolutions with patch embedding, utilizing uses four tunable hyperparameters: network depth, hidden dimension size, kernel size, and patch size. We used 196 earthquakes data from Turkey from 2010-2023, and TEC data from the TNPGN-Active GNSS stations. The dataset was split into 75% for training and 25% for testing. Performance metrics, including classification accuracy, sensitivity, specificity, and F1-score, are used for evaluation. Our model achieved a classification accuracy of 97.49%, demonstrating its potential for earthquake prediction systems. This research contributes to the field by introducing a novel deep learning architecture specifically designed for integrating TEC and space weather data for earthquake prediction. Future work should focus on validating the model’s performance in different geographical regions and investigating its limitations.
AtıfScopus7OpenAlex5İncele - Kitap BölümüYalnız künye2025Fake News About War and Perception Management in Turkey: Critical Discourse Analysis of Fake News
Aydın, Nursen
This study aims to uncover the discourse types and their directional framing of fake news shared on social media in Turkey, and how these influence social perception. The analysis is based on fake war-related content assessed by the Turkish factchecking platforms Teyit and Accuracy Share. The collected data is categorised into themes focusing on perception management. Each theme’s content was examined through the lens of Multimodal Critical Discourse Analysis (MCDA) and Teun van Dijk’s ideological discourse approach. This approach provides insight into the construction of war narratives through fake news, detailing how war is depicted within these discourses in Turkey.
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