WoS İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.12514/3595

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Decarbonizing Buildings With Autoclaved Aerated Concrete (AAC): Climate-Specific Meta-Analysis of Global Performance
(Taylor & Francis Ltd, 2025) Azhar, Jasim; Aydin, Serdar; Zami, Mohammad Sharif
The building sector, which accounts for 40% of global energy consumption and 36% of CO2 emissions, requires immediate access to scalable low-carbon materials. The theoretical thermal advantages of Autoclaved Aerated Concrete (AAC) remain incomplete because field performance reports show inconsistent results between 15% and 50% energy savings, and multiple unaddressed implementation challenges have prevented its strategic adoption. The systematic review used worldwide climate-based empirical data to resolve existing performance discrepancies and develop practical implementation strategies. The meta-analysis of 12 studies comprising 847 dwelling units, assessed using CASP and ROBINS-I quality tools, showed that energy savings depend on climate zone: hot-arid zones achieving 48.3% (95% CI: 42.1-54.5%), cold-temperate zones 32.7% (27.3-38.1%), and hot-humid zones 28.4% (22.9-33.9%). The strongest predictor of performance was cooling degree days (beta = 0.0089, p < 0.001), while implementation quality explained 26% of performance variation. Economic modelling revealed median payback periods from 4.2 years (hot-arid) to 9.7 years (cold-temperate), with a 78-92% probability of positive lifetime returns. Carbon pricing at $50/tCO(2) reduces payback by 23%. The research develops a climate-oriented analytical system that analyses performance variations to help designers and policymakers achieve maximum AAC decarbonization results by combining environmental data with system information and financial metrics. [GRAPHICS] .
Citation - WoS: 2
Citation - Scopus: 2
First report of needle blight of blue spruce (Picea pungens) caused by Neoscytalidium dimidiatum in Turkey
(SpringerLink, 2023) Derviş, Sibel; Türkölmez, Şahimerdan; Güney, İnci Güler; Alkan, Mehtap; Özer, Göksel
The blue spruce (Picea pungens Engelm.) is an exotic conifer species widely used for decorative purposes in landscaping and private gardens. In 2020, 60% of forty blue spruce trees between 20 and 25 years old planted in front of buildings in Kavaklıdere, Ankara, displayed needle blight symptoms. Needles on the lower and interior crown closest to the trunk were infected from the bottoms of branches. They showed a brown-colored or burned appearance before dropping off, starting from their tips, resulting in up to a 65% reduction of the canopy. On the surface of infected tissues, a black-colored fungal mass was observed. Fungal colonies isolated from twenty symptomatic branches and needles were initially dark gray and became black within 4 to 7 days. Zero- to one-septate dark brown conidia (4.6 to 9.8 × 3.6 to 7.5 μm) formed in arthric chains were disarticulating and cylindrical-truncate to rod-shaped, oblong, ellipsoidal, doliiform, or globose, consistent with the description of Neoscytalidium spp. (Crous et al. 2006). The internal transcribed spacer, translation elongation factor 1-α, and β-tubulin loci of a randomly selected isolate (Nd_Pp01) were sequenced using the primers ITS1/4, EF1-728 F/986R, and Bt2a/Bt2b and deposited in GenBank under the accession numbers OK643641, OK666381, and OK666382, respectively. The sequences had 99.77–100% nucleotide identity with those of the type specimen of N. dimidiatum, CBS 145.78. Phylogenetic analysis with concatenated sequences further confirmed the identification. The isolate was deposited in the Bolu Abant Izzet Baysal University Culture Collection with accession number BAIBU-179. A pathogenicity test was conducted with ten 1-year-old P. pungens plants by spraying a conidial suspension (105 conidia/ml) of the isolate Nd_Pp01 onto the needles (Türkölmez et al. 2019). Five seedlings sprayed with sterile water were used as controls. All plants were placed in a growth chamber at 28°C with 70% RH. Spray-inoculated needles initially showed yellow spots within two weeks and turned brown six weeks after inoculation, whereas the controls remained symptom-free. The pathogen was re-isolated from the inoculated needles but not from controls. To our knowledge, this is the first report of N. dimidiatum causing needle blight on P. pungens in Turkey and worldwide (Farr and Rossman 2023).
Citation - WoS: 5
Citation - Scopus: 5
Deep Learning-Based Artificial Intelligence Can Differentiate Treatment-Resistant and Responsive Depression Cases With High Accuracy
(Sage Publications inc, 2025) Metin, Sinem Zeynep; Uyulan, Caglar; Farhad, Shams; Erguzel, Tuerker Tekin; Turk, Omer; Metin, Baris; Tarhan, Nevzat
Background: Although there are many treatment options available for depression, a large portion of patients with depression are diagnosed with treatment-resistant depression (TRD), which is characterized by an inadequate response to antidepressant treatment. Identifying the TRD population is crucial in terms of saving time and resources in depression treatment. Recently several studies employed various methods on EEG datasets for automatic depression detection or treatment outcome prediction. However, no previous study has used the deep learning (DL) approach and EEG signals for detecting treatment resistance. Method: 77 patients with TRD, 43 patients with non-TRD, and 40 healthy controls were compared using GoogleNet convolutional neural network and DL on EEG data. Additionally, Class Activation Maps (CAMs) acquired from the TRD and non-TRD groups were used to obtain distinctive regions for classification. Results: GoogleNet classified the healthy controls and non-TRD group with 88.43%, the healthy controls and TRD subjects with 89.73%, and the TRD and non-TRD group with 90.05% accuracy. The external validation accuracy for the TRD-non-TRD classification was 73.33%. Finally, the CAM analysis revealed that the TRD group contained dominant features in class detection of deep learning architecture in almost all electrodes. Limitations: Our study is limited by the moderate sample size of clinical groups and the retrospective nature of the study. Conclusion: These findings suggest that EEG-based deep learning can be used to classify treatment resistance in depression and may in the future prove to be a useful tool in psychiatry practice to identify patients who need more vigorous intervention.
Seasonal Variation on Phospholipid Classes, Triacylglycerols and Atherogenic, Thrombogenic Indices of Male chondrostoma Regium
(Japan Oil Chemists Soc, 2024) Kacar, Semra; Kaya, Hacer Kayhan; Bashan, Mehmet
Gas chromatography (GC) was used to determine the fatty acid (FA) compositions of total lipid, phospholipid (PL), phospholipid subclass (phosphatidylcholine (PC), phosphatidylinositol (PI), phosphatidylserine (PS), phosphatidylethanolamine (PE)), and TAG (triacylglycerol) fractions in male Chondrostoma regium. Percentages of myristic acid (14:0), palmitoleic acid (16:1n-7), oleic acid (18:1n-9), monounsaturated fatty acid (Sigma MUFA), linoleic acid (18:2n-6) and linolenic acid (18:3n-3) were found to be higher in TAG than the values determined in PL classes. Palmitic acid (16:0), eicosapentaenoic acid (EPA, 20:5n-3), docosahexaenoic acid (DHA, 20:6n-3) in the PC fraction; 16:0, 20:5n-3, 22: 6n-3 in PE; 16:0, stearic acid (18:0), arachidonic acid (AA, 20:4n-6), 20:5n-3, 22:6n-3 in PI; and 16:0, 18:0, oleic acid (18:1n-9), 22:6n-3 in PS were found to be dominant. In total lipid, the PUFA/SFA ratio was 1.37-1.83; atherogenicity index (AI) was 0.34-0.47 and thrombogenicity index (TI) was found in the range of 0.18-0.22. The n-3/n-6 ratio, which is an important index for nutritional content, was found to be between 5.15 and 11.07. It was discovered that the FA compositions of male C. regium were affected by the reproductive period and season. These findings suggest that fish oil might be a beneficial dietary source for preserving human health.
Cytotoxic Effect of Zinc Oxide and Selenium Nanoparticles Synthesized From Orobanche Picridis on Lung Cancer as Well as Their Antimicrobial and Antioxidant Properties
(Wiley, 2025) Ercan, Leyla; Caliskan, Cemile Gunbegi
Orobanche picridis represents a fascinating example of an obligate parasitic plant due to its lack of chlorophyll. It is of significant interest to botanists, ecologists, and biologists because of its complex parasitic lifestyle and specific host preferences. The purpose of this work was to generate zinc oxide (OrZnO) nanoparticles (NPs) and selenium (OrSe) nanoparticles from O. picridis and examine their characterization as well as their antibacterial, anticarcinogenic, and antioxidant characteristics. To this purpose, the produced NPs were characterized utilizing a scanning electron microscope, energy-dispersive X-ray spectroscopy, X-ray diffraction, and Fourier-transform infrared spectroscopy. The antimicrobial activity of OrZnO and OrSe NPs was assessed employing the disc diffusion and agar well diffusion methods, while in vitro antioxidant activity was assessed through three different assays: DPPH, FRAP, and ABTS. The MTT assay was utilized to ascertain the cytotoxicity of these nanoparticles against lung cancer, and acridine orange/ethidium bromide staining was carried out to analyze morphological and DNA alterations in these cells. Consequently, the synthesized OrZnO NPs exhibited stronger antibacterial capabilities than the OrSe NPs, while both demonstrated antioxidant properties. In addition to their potent cytotoxic action, both NPs induced apoptosis by altering the DNA and shape of the lung cancer (A549) cells.
Citation - WoS: 2
Citation - Scopus: 2
Can Quercetin Reduce Arsenic Induced Toxicity in Mouse Balb/C 3t3 Fibroblast Cells ? A Study Involving in Vitro, Molecular Docking, and Adme Predictions
(Bmc, 2025) Unsal, Velid; Keskin, Cumali; Oner, Erkan
This study aimed to investigate the protective effect of quercetin against arsenic-induced oxidative damage, inflammation, and apoptosis in mouse BALB/c 3T3 fibroblast cells (NIH-3T3). Arsenic at different concentrations of 0.05 mu M (low), 0.5 mu M (medium), 10 mu M (high) doses were used to induce toxicity, while 120 mu m quercetin was used for treatment. MTT and LDH analyses were performed to determine the effect of arsenic and quercetin on cell viability, while oxidative stress markers and antioxidant enzyme activities were measured by spectrophotometric method. TNF-alpha and IL-1 beta levels were measured by the ELISA method, Autodock programs were used for molecular docking studies. In addition, computer-based analyses of quercetin and succimer molecules were performed using SwissADME web tools. TNF-alpha (PDB ID: 2AZ5), IL-1 beta (PDB ID: 1ITB), Caspase3 (PDB ID: 2XYG), Bax (PDB ID: 4S0O), SOD (PDB ID:1CBJ), GSH-Px (PDB ID: 1GP1) and Bcl-2 (PDB ID: 1G5M) crystal structures were obtained from the Protein Data Bank. Bax and Bcl-2 levels of apoptotic genes and mRNA expression levels of Caspase-3 activity were measured using the QRT-PCR technique. TUNEL staining was performed to determine DNA fragmentations, while DAPI staining was done to visualise nuclear modifications. Quercetin has been found to significantly reduce oxidative stress, inflammation, and apoptosis in cells and exert anti-apoptotic effects. Molecular docking studies revealed quercetin shows good binding affinity with molecules with SOD, GSH-Px, Bax, Bcl-2, Caspase-3, TNF-alpha and IL-1 beta structures, and has been observed to bind with Bax and Bcl-2 with molecular docking scores of -7.5 and - 7.7 kcal/mol, respectively. These findings are supported by results showing that quercetin is effective in anti-apoptotic and anti-inflammatory processes in arsenic-induced cells under in vitro conditions. In addition, when ADME values are examined, it can be considered that quercetin is a useful and effective candidate compound in reducing arsenic toxicity, considering its higher synthetic accessibility score, better pharmacokinetic properties, and good biological transition and interaction capacities compared to succimer.
Citation - WoS: 1
Citation - Scopus: 2
Parents' Needs and Their Perceived Obstacles With Team Members in Perinatal Palliative Care: A Qualitative Phenomenological Study
(Journal of Hospice and Palliative Nursing, 2022) Yaşar, Beril Nisa; Terzioğlu, Fusun
Advances in prenatal diagnosis have made medical, psychological, and ethical issues regarding the diagnosis of fetal anomalies a crucial topic of research. This study identified the needs of parents of unborn babies with fetal anomalies and their views regarding the services of interdisciplinary team members in charge of assisting them. The sample consisted of 30 parents and 40 team members from a women's health education and research hospital. Data were collected through face-to-face interviews and were qualitatively analyzed using the phenomenological method of interpretation. The results showed that parents' physical, psychological, social, and spiritual needs during pregnancy, childbirth, and postpartum were not fully met after their unborn babies were diagnosed with fetal anomalies. The results also showed that team members needed a structured program, legal regulations, and training to provide holistic care. © Lippincott Williams & Wilkins.
Citation - WoS: 32
Citation - Scopus: 32
Development software program for extraction of photovoltaic cell equivalent circuit model parameters based on the Newton–Raphson method
(SpringerLink, 2022) Adak, Süleyman; Cangi, Hasan; Yılmaz, Ahmet Serdar; Arifoğlu, Uğur
Finding the equivalent circuit parameters for photovoltaic (PV) cells is crucial as they are used in the modeling and analysis of PV arrays. PV cells are made of silicon. These materials have a nonlinear characteristic. This distorts the sinusoidal waveform of the current and voltage. As a result, harmonic components are formed in the system. The PV cell is the smallest building block of the PV system and produces voltages between 0.5 V and 0.7 V. It serves as a source of current. The amount of radiation hitting the cell determines how much current it produces. In an ideal case, a diode and a parallel current source make up the equivalent circuit of the PV cell. In practice, the addition of a series and parallel resistor is made to the ideal equivalent circuit. There are many equivalent circuits in the literature on modeling the equivalent circuit of a PV cell. The PV cell single–diode model is the most used model due to its ease of analysis. In this study, the iterative method by Newton–Raphson was used to find the equivalent circuit parameters of a PV cell. This method is one of the most widely used methods for determining the roots of nonlinear equations in numerical analysis. In this study, five unknown parameters (Iph, Io, Rs, Rsh and m) of the PV cell equivalent circuit were quickly discovered with the software program prepared based on the Newton–Raphson method in MATLAB
Post-Occupancy Evaluation: an Expert-User Model Proposal Based on Key Sustainability Indicators
(Emerald Group Publishing Ltd, 2025) Bekar, Irem; Erguen, Rusen; Kutlu, Izzettin
Purpose The user-oriented reusing of historical heritages is a powerful planning strategy to increase sustainability and provide socioeconomic benefits for cities. The study aims to determine the post-occupancy sustainability of reused historical buildings.Design/methodology/approach A holistic model was designed by considering expert and user opinions to select the post-occupancy sustainability of reused historical buildings. The proposed model was developed concerning key sustainability indicators (KSI). This proposed model, which integrates expert and user views, is examined in an educational building with significant cultural value in Mardin.Findings The results of the KSI model indicate that the functional, technical and environmental sustainability of the building are at a medium level, while the aesthetic sustainability is rated as good. An analysis of the differences between importance and performance shows that the largest gap is in functional sustainability, with the smallest gap in technical sustainability. The environmental and aesthetic sustainability indicators show a smaller performance gap than the other two. The results suggest that functional sustainability requires immediate intervention, technical features should be improved based on user needs and aesthetic and environmental sustainability require monitoring but no urgent action.Originality/value The originality of the research is that it proposes a model that combines expert opinion and the opinions of building users to monitor the sustainability of the reused buildings throughout the usage process and enables them to be monitored with key sustainability criteria and to develop improvement suggestions in line with the results obtained.
Citation - WoS: 25
Citation - Scopus: 39
Developing an Integrated VR Infrastructure in Architectural Design Education
(Frontiers in Robotics and AI, 2020) Aydin, Serdar; Aktaş, Begüm
With the advent of computer technology, Virtual Reality (VR) became an integral part of design studios in architecture education. Researchers have been exploring how VR-enhanced design studios can be assessed from a student-centered perspective. This paper illustrates the role of teaching architectural design for developing a novel and contextual curriculum based on an analysis of student feedback. The background focuses on the development of VR-based architectural design education. The methodology frames two digital design ecosystems which are experimented in four undergraduate courses. With an ecosystem-based approach discussed in this paper, a medium-oriented and a content-oriented curriculum are offered for testing students’ reaction to teaching design in VR. In both ecosystems, students are engaged with advanced digital design methods and techniques, which include 3D form-finding, building information modeling, visual programming, coding, and real-time rendering. The study screens the usage of software solutions for the creation of complex virtual environments, covering Blender, Rhinoceros, Unity, Grasshopper, and Revit. The implementation of a User Experience Questionnaire (UEQ) comparatively demonstrates the performative qualities of both digital design ecosystems. Results indicate that the intensity of interaction varied in two incomparable, but connate, levels of qualities. The findings suggest that the perspicuity aspects of student interaction bare the risk of “complicated” and “confusing” software. The results further demonstrate a conflict between task-related qualities and non-task related qualities. Additionally, interacting with VR tools in architecture design education is found attractive, stimulating, and original despite low scores on the pragmatic qualities of perspicuity, efficiency, and dependability. The data and results obtained from this study give insight into the planning of design studios in architecture education based on the use of VR and digital methods. Therefore, this study contributes to future research in the contextualization of the design teaching efforts.
Citation - WoS: 2
Citation - Scopus: 1
Body Image, Self-Esteem, and Attitudes Toward Sexuality in Older Adults With Chronic Illnesses
(Springer/Plenum Publishers, 2025) Utli, Adil; Ersu, Nilay Filoglu; Ozbay, Hediye
This study aimed to examine the effect of the association between body image and self-esteem levels on attitudes toward sexuality in older adults with chronic illnesses. The research was descriptive, cross-sectional, and correlational. The study sample comprised 1,004 people over the age of 65 who visited family health centers in a province in the east of T & uuml;rkiye. The Older Person's Description Form, the Body-Cathexis Scale, the Rosenberg Self-Esteem Scale Short Form, and the Sexual Attitude Scale for Elderly People were used for data collection. For the data analysis, Pearson's r correlation test, simultaneous multiple linear regression, and binary logistic regression were employed. The mean age of the participants was 69.97 +/- 5.74 years, and 66.9% were between 65 and 74 years of age. Furthermore, 53.8% of the participants were male and 56.2% had two chronic illnesses. It was found that the participants' age, body image, and self-esteem explained 84% of the total variance in their permissive attitudes toward sexuality. Furthermore, as the age of the older adults with chronic illnesses increased, there were negative effects on their permissive attitudes toward sexuality. However, as their body image and self-esteem levels improved, there was a positive effect on their permissive attitudes toward sexuality. These findings will be of benefit in encouraging and developing sexual health in older adults with chronic illnesses.
Violence of the Anti-Islamic Discourse: Analysis of Pope Urban Ii and His Speech at the Council of Clermont
(Univ Malaya, Acad Islamic Studies, 2024) Polat, Ziya
The impact of an impassioned speech on an audience is undeniable. Throughout history, influential speeches have played a significant role in major turning points and new beginnings. The Crusades, within the context of the 'power of speech', have been a crucial period in history. This article focuses on Pope Urban II, the driving force behind the Crusades, and his speech at the Council of Clermont. His life, path to the papacy, and activities thereafter have been primarily examined to understand the background of the Crusades. The article then explores topics including the oppression of Eastern Christians, the vandalism of religious sites, the seizure of Bayt al-Maqdis, and the mistreatment of pilgrims, all of which were cited in the Pope's speech as justifications for the Crusades. These were discussed and analysed through the data recorded in the chronicles of the period as the text of the speech. The analysis has focused on the violent elements in the anti-Islamic discourse, which are seen as the main problem. Additionally, the article discusses the Pope's use of incitement in his speech to rally support for the Crusades. It shows how he persuaded Catholic societies to join the expedition, ultimately leading to the Crusades. The article concludes that the armies of the First Crusade, which set out for the East due to the Pope's intense efforts, did not hesitate to apply violence against Muslims based on the Pope's discourse in the places they occupied.
Citation - WoS: 4
Citation - Scopus: 3
Energy-Aware Scheduling in Flow Shops: a Novel Artificial Neural Network-Driven Multi-Objective Optimization
(Taylor & Francis Ltd, 2025) Aslan, Sehmus
Group technology is a managerial strategy used to optimize production by reducing setup times, lead times, and work-in-process inventories. Research on flow-shop sequence-dependent group scheduling problems (FSDGSPs) has primarily focused on minimizing makespan and total flow time to improve efficiency. However, the need for energy-efficient scheduling in FSDGSPs remains underexplored despite increasing sustainability concerns. To address this, the energy-efficient flow-shop sequence-dependent group scheduling problem (EEFSDGSP) is introduced. A novel multi-objective optimization (MOO) technique, the artificial neural network-based multi-objective genetic algorithm (ANN-MOGA), is proposed to minimize makespan and energy consumption in EEFSDGSP. ANN-MOGA advances MOO by using a neural network to evaluate fitness and guide selection, reducing computational complexity versus traditional methods like NSGA-II and SPEA2. A post-processing step (PPANNS) further enhances solution diversity and distribution. Results show ANN-MOGA, especially with PPANNS, outperforms NSGA-II and competes effectively with SPEA2 in larger problem instances.
Citation - WoS: 8
Citation - Scopus: 21
Automatic Detection of Brain Tumors With the Aid of Ensemble Deep Learning Architectures and Class Activation Map Indicators by Employing Magnetic Resonance Images
(Elsevier, 2024) Turk, Omer; Ozhan, Davut; Acar, Emrullah; Akinci, Tahir Cetin; Yilmaz, Musa
Today, as in every life-threatening disease, early diagnosis of brain tumors plays a life-saving role. The brain tumor is formed by the transformation of brain cells from their normal structures into abnormal cell structures. These formed abnormal cells begin to form in masses in the brain regions. Nowadays, many different techniques are employed to detect these tumor masses, and the most common of these techniques is Magnetic Resonance Imaging (MRI). In this study, it is aimed to automatically detect brain tumors with the help of ensemble deep learning architectures (ResNet50, VGG19, InceptionV3 and MobileNet) and Class Activation Maps (CAMs) indicators by employing MRI images. The proposed system was implemented in three stages. In the first stage, it was determined whether there was a tumor in the MR images Tumor) were detected from MR images (Multi-class Approach). In the last stage, CAMs of each tumor group were created as an alternative tool to facilitate the work of specialists in tumor detection. The results showed that the overall accuracy of the binary approach was calculated as 100% on the ResNet50, InceptionV3 and MobileNet architectures, and 99.71% on the VGG19 architecture. Moreover, the accuracy values of 96.45% with ResNet50, 93.40% with VGG19, 85.03% with InceptionV3 and 89.34% with MobileNet architectures were obtained in the multi-class approach.
Citation - WoS: 4
Citation - Scopus: 4
Ganoderma Butt Rot of Hazelnut (corylus Avellana) Caused by ganoderma Adspersum in Türkiye
(Wiley, 2024) Turkkan, Muharrem; Dervis, Sibel; Ozgumus, Oezlem; Ozer, Goeksel
In September 2022, hazelnut trees in six orchards in the & Ccedil;ar & scedil;amba district of Samsun province, a major hazelnut production area in the Black Sea region of T & uuml;rkiye, showed symptoms of leaf yellowing, shoot dieback, decline, basal stem rot and the presence of brown bracket-like sessile basidiocarps. Approximately 5%-10% of hazelnut trees were affected, highlighting the significant impact of the disease. A comprehensive morphological analysis was conducted to characterize fungal isolates obtained from symptomatic tissues as G. adspersum. This analysis incorporated features observed in basidiomata from declining trees and those reproduced after isolates were cultivated on wheat grain for spawn production and grown on an oak sawdust-based substrate. Confirmation of identification was achieved through the utilization of the internal transcribed spacer (ITS), large subunit (LSU) and small subunit (SSU) loci, along with sequencing and subsequent phylogenetic analysis. The G. adspersum isolates generally exhibited no significant growth differences at similar temperatures but demonstrated enhanced growth at 30 degrees C, while growth was completely inhibited at 40 degrees C. Incompatible reactions between isolates confirmed that distinct genotypes were present, highlighting genetic diversity within the species. In the pathogenicity trials, employing a single infested wheat grain per inoculation at the wounded site, hazelnut suckers exhibited distinct brown discolouration surrounding the inoculation site following a 2.5-month incubation period. Significantly, lesions exceeding 3 cm in length were observed, providing clear evidence of vigorous pathogenic activity by G. adspersum. This study is the first report of G. adspersum causing butt rot in hazelnuts, underscoring the significance of this finding for hazelnut cultivation and providing a foundation for future research and disease management strategies.
An Exploratory Method for an Alternative Narrative of Housing History in Istanbul
(UNIV TORONTO PRESS INC, 2016) Atas, Zeynep
Analysis and visualization of spatial data has proven to be an effective tool in communicating apparent or latent spatial information in an efficient way. Here a specific data processing and visualization method is employed in creating an original base for a nonlinear historical narrative of a specific urban phenomenon. Housing development in Istanbul is selected as a case to be explored through a heuristic method involving correspondence analysis (COA) complemented by clustering methods and Bertin's graphics theory. COA is an exploratory method for cross-tabular data analysis, which facilitates the interpretation of data by visualizing the relative relationship between its variables. Two sets of data on the shares of the state, the private sector, and housing cooperatives in housing development in Istanbul between 1987 and 2007 have been processed by COA. The outputs of the process are correspondence maps and Bertin graphics. Maps create a basis for a spatiotemporal analyses of public and private housing development in Istanbul, while revealing certain relation networks and breaks in housing history that are not quite perceptible by looking at the data tables only. Thus, drawing upon the discoveries from the maps, a nonlinear narrative of housing history is proposed as a collection of several thorough analyses of the discoveries within the economic, political, and social setting particular to this geography.
Can Capability-Based Education and Social Policy Help Resolve the Middle East and North Africa (Mena) Gender Paradox ? A Case Study of Tunisia
(Routledge Journals, Taylor & Francis Ltd, 2025) Cuhadar, Pinar; Kawamura, Yusuke; Jawad, Rana
This study aims to re-evaluate the MENA gender paradox, where women's participation in employment is low despite their higher access to education. Arguments about the inclusiveness of education suggest that economic impoverishment and social policies, such as social protection, labour market interventions, and redistribution, which become restricted by economic policies, can weaken the link between education and social mobility. The MENA region faces these issues. Tunisia, a pioneering country in women's rights since its independence, is no exception. We focus on Tunisia using the capability approach, which offers an alternative perspective by including the aspect of freedom to do or to be in order to live a life that individuals value, in the fields of development, education, and social policy, providing agency and empowerment. We examined economic factors and included their relationships with political institutions in the discussion. Through this analysis, we conclude that the situation in Tunisia should be viewed as capability deprivation rather than a paradox.
Citation - WoS: 1
Citation - Scopus: 1
A Characterization of Some Class Nonlinear Eigenvalue Problem in VELS
(Hindawi Ltd, 2019) Akin, Lutfi
A normal mode analysis of a vibrating mechanical or electrical system gives rise to an eigenvalue problem. Faber made a fairly complete study of the existence and asymptotic behavior of eigenvalues and eigenfunctions, Green's function, and expansion properties. We will investigate a new characterization of some class nonlinear eigenvalue problem.
Citation - Scopus: 1
Empowering Parents of Children With Disabilities: Assessing the Impact of a Child Sexual Abuse Psychoeducation Program in Türkiye
(Taylor & Francis Ltd, 2024) Kacan, Havva; Sakiz, Halis
Child sexual abuse (CSA) is a pervasive problem that can have detrimental effects on the physical and mental health of children, as well as their families. Parents of children with disabilities (CWD) may face additional challenges in protecting their children from sexual abuse. This study aimed to examine the effects of a CSA psychoeducation program for parents of CWD. The program was designed to increase parental knowledge and attitudes towards CSA and prevention strategies, as well as to decrease parents' anxiety regarding the topic. A total of 93 parents of CWD participated in the study, with 45 being randomly assigned to the experimental group and 48 to the control group. The findings suggest that the CSA psychoeducation program was effective in increasing parental knowledge and attitudes towards CSA prevention strategies. The experimental group scored significantly higher than the control group in all domains of the Child sexual abuse knowledge/attitude scale for parents. Additionally, the program was effective in reducing parents' anxiety. This highlights the need for such programs to be implemented in schools and other community settings to increase parental awareness and prevent CSA.
Citation - WoS: 2
Citation - Scopus: 2
Advanced Fault Classification in Induction Motors for Electric Vehicles Using a Stacking Ensemble Learning Approach
(MDPI, 2025) Benkaihoul, Said; Khadar, Saad; Ozupak, Yildirim; Aslan, Emrah; Almalki, Mishari Metab; Mossa, Mahmoud A.
This study proposes an innovative stacking ensemble learning framework for classifying faults in induction motors utilized in Electric Vehicles (EVs). Employing a comprehensive dataset comprising motor data, such as speed, torque, current, and voltage, the analysis encompasses six distinct conditions: normal operating mode, over-voltage fault, under-voltage fault, overloading fault, phase-to-phase fault, and phase-to-ground fault. The proposed model integrates Gradient Boosting (GB), K-Nearest Neighbors (KNN), Gradient Boosting (XGBoost), Support Vector Machine (SVM), Decision Tree (DT), and Random Forest (RF) algorithms in a synergistic manner. The findings reveal that the RF-GB-DT-XGBoost combination achieves a remarkable accuracy of 98.53%, significantly surpassing other methods reported in the literature. Performance is evaluated through metrics including accuracy, precision, sensitivity, and F1-score, with results analyzed in comparison to practical applications and existing studies. Validated with real-world data, this study demonstrates that the proposed model offers a groundbreaking solution for predictive maintenance systems in the EV industry, exhibiting high generalization capacity despite complex operating conditions. This approach holds transformative potential for both academic research and industrial applications. The dataset used in this study was generated using a MATLAB 2018/Simulink-based Variable Frequency Drive (VFD) model that emulates real-world EV operating conditions rather than relying solely on laboratory data. This ensures that the developed model accurately reflects practical electric vehicle environments.

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