GÖZDE AKKAYA

Makale | 2023 | Journal of Addictive Diseases , pp.1 - 12

Background: Opioid use disorder (OUD) is a chronic disorder with a considerable amount of morbidity and mortality. Despite remarkable improvement achieved by maintenance programs, an array of treatment goals were still unmet. Mounting evidence suggests that transcranial Direct Current Stimulation (tDCS) improves decision making and cognitive functions in addictive disorders. tDCS paired with a decision making task was depicted to diminish impulsivity as well. Objectives: The present study aimed to assess the effect of tDCS combined with cognitive training (CT) in OUD for the first time. Methods: In this triple-blind randomized sham- . . .controlled pilot study, 38 individuals with OUD from the Buprenorphine-Naloxone Maintenance Therapy program were administered 20-minutes of 2mA active/sham tDCS over the dorsolateral prefrontal cortex with concomitant cognitive training. A selected test battery evaluating decision making under risk and ambiguity as well as executive functions, verbal fluency and working memory was utilized before and after the intervention. Results: Greater improvements were observed in decision making under ambiguity (p=0.016), set shifting ability and alternating fluency while no improvements were observed in decision making under risk in the active group, compared to sham. Conclusions: Deficits of decision making and executive functions have a pivotal role in the perpetuation and the relapse of the OUD. Alleviation of these impairments brought tDCS/ CT forth as an expedient neuroscientifically-grounded treatment option that merits further exploration in OUD, Trial registration: NCT05568251 Daha fazlası Daha az

Özlem KUNDAY

Makale | 2023 | International Journal of Management Economics and Business Uluslararası Yönetim İktisat ve İşletme Dergisi19 ( 2 ) , pp.217 - 242

increasing. Such a transition can be made possible through the conversion of existing business models as well as the introduction of new, circular ones. When it comes to application, circular business models can be adopted by both existing companies and start-ups. Among these two, academic research has traditionally focused more on existing companies. Therefore, more studies are needed on circular economy related activities of start-ups. As an exploratory study, this research analyses circularity strategies and circular business models used by start-ups within Turkey. The analysis is based on the data collected from 47 companies. As . . . a result, we found that most frequently used circularity strategy by circular start-ups in Turkey is Recycling, followed by Rethinking. As for circular business models used by these companies, we observed that Next Life- Extending Resource Value and Collaborative Consumption- Sharing Platform models are the most popular ones. In addition, we suggest that circular start-ups in Turkey can be categorised under five categories:1) Recycling Companies, 2) Sharing Based Endeavours, 3) Recycled Material Users, 4) Second-Hand Product Marketplaces, 5) Waste Management Platforms. modeline geçiş yapmaları ihtiyacı artmaktadır. Bu yönde bir dönüşüm mevcut iş yapış biçimlerinin değişmesiyle olduğu kadar, yepyeni iş modellerinin kullanılmaya başlamasıyla da mümkün olacaktır. Uygulamada, döngüsel ekonomi anlayışıyla uyumlu bu yeni iş modellerinin hem mevcutta kurulu olan, hem de yeni kurulmuş işletmeler tarafından hayata geçirildiği görülmektedir. Bununla beraber, akademik çalışmalar çoğunlukla kurulu şirketlerin uygulamalarına odaklanagelmiştir. Bu yüzden yeni kurulan işletmelerin döngüsel uygulamalarının daha fazla incelenmesine ihtiyaç duyulmaktadır. Bu noktadan hareketle keşifsel bir çalışma olarak tasarlanan bu araştırma Türkiye’deki yeni kurulan şirketlerin döngüsel stratejilerine ve iş modellerine odaklanmıştır. Araştırma kapsamında 47 firma mercek altına alınarak incelenmiştir. Sonuç olarak, Türkiye’de yeni kurulan döngüsel işletmelerin en çok Geri Dönüşüm stratejisini uyguladıkları görülmüştür. Bunu Yeniden Ele Alma stratejisi takip etmektedir. Bu şirketlerce uygulanan iş modellerine bakıldığında, en çok Ürünün Sonraki Hayatı- Kaynak Değerini Uzatmak ve Paylaşım Platformu iş modellerinin kullanıldığı gözlemlenmiştir. Araştırma sonuçlarına göre, Türkiye’deki döngüsel işletmeler şu beş kategori altında toplanmaktadır: 1) Geri Dönüşüm Şirketleri, 2) Paylaşım Temelli Girişimler, 3) Geri Dönüştürülmüş Malzeme Kullanan Girişimler, 4) İkinci-el Pazaryeri Uygulamaları, 5) Atık Yönetim Platformları Daha fazlası Daha az

Elif Gençkal Eroler

Makale | 2023 | Third World Quarterly , pp.1 - 19

The concept of modernity and its association with the West and secu-larism is being challenged with the rise of religious movements in the age of globalisation. This provides a fertile ground for alternative moder-nities, disconnected from the West and secularism, to surface. This paper provides a theoretical explanation for the emergence of alternative modernities by drawing on insights from epistemic injustice and rec-ognition theory, through an analysis of Turkish media outlets. Turkey serves as an illustrative case to examine the emergence of alternative modernities due to its long-standing tradition of incorporating Western mod . . .ernity and its complex liminal identity between the boundaries of the East and the West. This paper argues that the period from 2005 to 2020 presented a window of opportunity for an alternative modernities paradigm to engage in epistemic struggles for recognition, supported by the ideological context of the Justice and Development Party (Adalet ve Kalkınma Partisi or AKP) government. This period paved the way for questioning the superiority and uniqueness of Western modernity. However, it also indicates the birth of a new form of epistemic injustice as counter-narratives defending the superiority of Islamic civilisation emerged, seeking to establish epistemic hegemony for Islam and its association with modernity Daha fazlası Daha az

Javad Rahebi

Makale | 2023 | DIAGNOSTICS 13 ( 10 ) , pp.1 - 14

This paper presents a robust colon cancer diagnosis method based on the feature selection method. The proposed method for colon disease diagnosis can be divided into three steps. In the first step, the images’ features were extracted based on the convolutional neural network. Squeezenet, Resnet-50, AlexNet, and GoogleNet were used for the convolutional neural network. The extracted features are huge, and the number of features cannot be appropriate for training the system. For this reason, the metaheuristic method is used in the second step to reduce the number of features. This research uses the grasshopper optimization algorithm t . . .o select the best features from the feature data. Finally, using machine learning methods, colon disease diagnosis was found to be accurate and successful. Two classification methods are applied for the evaluation of the proposed method. These methods include the decision tree and the support vector machine. The sensitivity, specificity, accuracy, and F1Score have been used to evaluate the proposed method. For Squeezenet based on the support vector machine, we obtained results of 99.34%, 99.41%, 99.12%, 98.91% and 98.94% for sensitivity, specificity, accuracy, precision, and F1Score, respectively. In the end, we compared the suggested recognition method’s performance to the performances of other methods, including 9-layer CNN, random forest, 7-layer CNN, and DropBlock. We demonstrated that our solution outperformed the others Daha fazlası Daha az

Gökalp Tulum

Makale | 2023 | The British journal of radiology , pp.1 - 11

Objectives: Our study used a radiomics method to differentiate bone marrow signal abnormality (BMSA) between Charcot neuroarthropathy (CN) and osteomyelitis (OM). Materials and Method: The records of 166 patients with diabetic foot suspected CN or OM between January 2020 and March 2022 were retrospectively examined. A total of 41 patients with BMSA on MRI were included in this study. The diagnosis of OM was confirmed histologically in 24 of 41 patients. We clinically followed 17 patients as CN with laboratory tests. We also included 29 nondiabetic patients with traumatic (TR) BMSA on MRI as the third group. Contours of all BMSA on T . . .1 and T2-weighted images in three patient groups were segmented semi-automatically on ManSeg (v.2.7d). The T1 and T2 features of three groups in radiomics were statistically evaluated. We applied multi-class classification (MCC) and binary-class classification (BCC) methodology to compare classification results. Results: For MCC, the accuracy of Multi-Layer Perceptron (MLP) was 76.92% and 84.38% for T1 and T2, respectively. According to BCC, for CN, OM and TR BMSA, the sensitivity of MLP is 74%, 89.23%, and 76.19% for T1, and 90.57%, 85.92%, 86.81% for T2, respectively. For CN, OM, and TR BMSA, the specificity of MLP is 89.16%, 87.57%, and 90.72% for T1 and 93.55%, 89.94%, and 90.48% for T2 images, respectively. Conclusion: In the diabetic foot, the radiomics method can differentiate the BMSA of CN and OM with high accuracy. Advances in knowledge: The radiomics method can differentiate the BMSA of CN and OM with high accuracy Daha fazlası Daha az

Javad Rahebi

Makale | 2023 | International Journal of Nanotechnology20 ( 1-4 ) , pp.25 - 45

In this study, an automated segmentation method is used to increase the speed of diagnosis and reduce the segmentation error of CT scans of the lung. In the proposed technique, the fishier mantis optimiser (FMO) algorithm is modelling and formulated based on the intelligent behaviour of mantis insects for hunting to create an intelligent algorithm for image segmentation. In the second phase of the proposed method, the proposed algorithm is used to cluster scanned image images of COVID-19 patients. Implementation of the proposed technique on CT scan images of patients shows that the similarity index of the proposed method is 98.36%, . . . accuracy is 98.45%, and sensitivity is 98.37%. The proposed algorithm is more accurate in diagnosing COVID-19 patients than the falcon algorithm, the spotted hyena optimiser (SHO), the Grasshopper optimisation algorithm (GOA), the grey wolf optimisation algorithm (GWO), and the black widow optimisation algorithm (BWO) Daha fazlası Daha az

FATMA ALTUNTAŞ

Makale | 2023 | KYBERNETES , pp.25 - 45

Purpose – The textile sector is one of the sectors where competition is intense and requires the production of high-value-added products. This study aims to conduct patent analysis to find the technology status, recent trends, applications and technological evaluations of protective textile technologies in practice. Design/methodology/approach – More than 36,840 patent documents related to protective textile technologies are available for researchers, patent examiners and patent researchers. Patent analysis is conducted to report the technology status, recent trends and applications of protective textile technologies. This analysis . . .provides insights into the possible future directions of protective textile technologies in practice. Additionally, association rule mining (ARM) is performed to find the hidden patterns among protective textile technologies. Findings – The development of protective textile technologies is revealed by the technology evaluation in this study. In addition, the sub-technology classes affecting protective textile technologies are examined using the cooperative patent classification (CPC) codes of the patent documents. Technology status and recent trends of protective textile technologies are provided in detail. The results of this study show that (1) protective textile technologies are constantly being developed, (2) the working areas of medical protective textiles are increasing, (3) there are frequent studies on fabric structures for saving lives within the framework of human needs and (4) there are four technology classes, namely A41D, Y10T, B32B and A62B impacting the other technology classes related to textile technologies such as D10B, Y10T, F41H, A62D, D04H, Y10S and D10B. Originality/value – To have a competitive advantage in the marketplace, evaluation of textile technologies is critical in developing “functionalized” and “technologized” textile products. In particular, evaluating technologies in developing protective textile products is extremely important to meet customer demands and present competitive products in the market. Examining these patents for technology developers, decisionmakers and policymakers is an urgent and necessary job. However, studies examining the development of protective textile technologies with patent analysis are very limited in the literature. To fill this gap, technology status, recent trends and applications of protective textile technologies are reported based on patent analysis and ARM in this study Daha fazlası Daha az

Vedat Esen

Makale | 2023 | INTERNATIONAL JOURNAL OF ENERGY STUDIES8 ( 2 ) , pp.189 - 200

It is seen that the damage to the environment has increased with the use of fossil fuels around the world. It is known that studies continue to minimize the damage to the environment with alternative energy generation methods. Recently, it is seen that generating electrical energy using solar energy, known as clean energy, has an important place. With the developing semiconductor technologies, the use of photovoltaic systems is increasing day by day. The aim of this study is to estimate the amount of energy that will be produced by simulating and modeling the performance of PV (Photovoltaic) systems using PVsyst and PV*SOL programs . . .before the Photovoltaic systems are installed in the region. In the study, grid-connected roof system modeling was made in Bakırköy district of Istanbul province. In the modeling of the system, a total of 90 solar panels were placed on an area of 114.9 m2 , in East and West directions. In total, it is predicted that 17.1 kW of energy will be obtained when the system is used. In the system design, the avoided CO₂ emission is calculated as 8,856 kg/year and the amortization period is calculated as 7.2 years. When the programs are used, the analysis of the system is made before the implementation and it is seen that time and cost savings are achieved Daha fazlası Daha az

Ahmet Selim Süzer

Makale | 2023 | Akıllı Ulaşım Sistemleri ve Uygulamaları Dergisi 6 ( 1 ) , pp.123 - 138

Bu çalışmanın amacı havayolu operasyon kararlarında entegrasyonu sağlayabilmek için havayolu OCC (Operation Control Center) bünyesinde yer olan süreçlerden dispeç kaynaklı problemleri belirleyerek bu problemlerin diğer havayolu süreçlerine etkilerini tespit edebilmektir. Böylece, havayolu operasyon yönetiminde entegre bir yaklaşıma katkı sağlanacağı vurgulanabilmektedir. Bu çalışmada operasyonları OCC (Operation Control Center-Operasyon Kontrol Merkezi) tarafından yönetilen orta ve büyük ölçekli havayollarının operasyon yönetimi evren olarak ele alınmıştır. ICAO (International Civil Aviation Organization), IATA (International Air Tr . . .ansportation Association), EASA (European Aviation Safety Agency) gibi kuruluşların getirdiği uluslararası kurallara uyarak operasyonlarını icra eden orta ve büyük ölçekli havayolları genellikle aynı problemlerle karşılaşmaktadırlar. Sadece sefer geciktirme, sefer birleştirme, sefer iptali gibi kararların havayollarının stratejilerine göre belirlendiği söylenebilmektedir. Çalışma, Türkiye’de operasyonları OCC tarafından yönetilen havayollarının OCC bölümünde görev yapan 40 operasyon süreç çalışanı (havayolu operasyonları, dispeç, ekip Planlama, yer hizmetleri, Teknik ve bakım takip gibi süreçlerden oluşmaktadır. Bu süreç çalışanları ile görüşülmüştür) ile yüz yüze görüşülerek veya telefon görüşmesi yapılarak gerçekleştirilmiştir. Çalışma sonucunda Dispeç kaynaklı aksaklığa dönüşebilecek problemlerin belirlendiği ifade edilebilir. Ayrıca bu problemlerin diğer havayolu süreçlerinde ortaya çıkarabileceği problemlerin de genel olarak belirlendiği belirtilebilmektedir. Son yıllarda havayolu operasyon yönetiminde düzensiz uçuşlar konusu geniş çalışma alanı bulmuştur. Havayolu operasyon yönetiminde disptach kaynaklı problemlerin düzensiz uçuşların yönetilmesinde önemli bir yer tuttuğu ifade edilebilir. Bu çalışmanın disptach kaynaklı problemlerin belirlenmesi açısından literatüre katkı sağladığı değerlendirilibilir. Ayrıca yine son yıllarda düzensiz uçuşların çözümünde entegre bir yaklaşım çalışma alanı bulmuştur. Bu çalışmanın havayolu operasyon yönetiminde entegre bir anlayışla karar alınmasına katkı sağlamak amacıyla dispeç kaynaklı problemlerin diğer havayolu operasyon süreçlerine etkilerini ortaya koyması nedeniyle önem arz ettiği vurgulanabilir Daha fazlası Daha az

SEDA TERZİ TÜRK

Makale | 2023 | Geomatik8 ( 2 ) , pp.91 - 98

Türkiye’de yetiştirilen sert kabuklu meyvelerin başında gelen fındık, özellikle Doğu Karadeniz bölgesi için ekonomik olarak büyük önem taşımaktadır. Bu çalışmada, 22 Ekim, 2020 tarihli Sentinel-2 MSI uydu görüntüsü bantları ve hesaplanan indeksler ile oluşturulan farklı veri setleri kullanılarak fındık ekili tarım alanları belirlenmiştir. Çalışmaya dâhil edilen farklı bitki indekslerinin hesaplanması ile 5 veri seti üretilmiştir. Giresun ili Piraziz ilçesi çalışma bölgesi seçilmiştir. Sınıflandırma işlemi için rastgele orman (RO) görüntü sınıflandırma yöntemi kullanılmıştır. Çalışma alanında 7 farklı Arazi Kullanımı/Arazi Örtüsü (AK . . .AÖ) tipleri tanımlanmıştır. Birinci veri seti için; seçilen Sentinel-2 MSI bantları RO algoritması ile sınıflandırılmıştır. Diğer veri setlerinde sırasıyla; Normalize Edilmiş Fark Bitki Örtüsü İndeksi (NDVI), Yeşil Bant Normalize Edilmiş Fark Bitki Örtüsü İndeksi (GNDVI) ve Normalize Edilmiş Fark Kırmızı Kenar İndeksi (NDVIre) eklenmiştir. 5 veri setine ait sınıflandırma sonuçları hata matrisi kullanılarak karşılaştırılmıştır. McNemar testi sonuçlarına göre her veri seti için sınıflandırma doğruluğu arasındaki farkların istatistiksel olarak anlamlı olmadığı görülmüştür. Veri seti 1 için hesaplanan genel doğruluk %98.98 ve Kappa değeri 0,98 ile diğer dört veri setinden daha yüksek elde edilmiştir. Hazelnut, which is one of the leading hard-shelled fruits grown in Turkey, is of great economic importance especially for the Eastern Black Sea region. In this study, hazelnut cultivated agricultural areas were determined using different data sets created with Sentinel-2 MSI satellite image bands and calculated indices dated 22 October, 2020. 5 data sets were produced by calculating the different plant indices included in the study. Giresun province Piraziz district has been selected as the study area. Random forest (RO) image classification method was used for the classification process. 7 different Land Use/Land Cover (LULC) types have been defined in the study area. For the first data set; selected Sentinel-2 MSI bands were classified by RO algorithm. In other data sets, respectively; added Normalized Difference Vegetation Index (NDVI), Green Normalized Difference Vegetation Index (GNDVI) and Normalized Difference Red Edge Index (NDVIre). The classification results of the 5 data sets were compared using the error matrix. According to the McNemar test results, it was seen that the differences in classification accuracy for each data set were not statistically significant. The overall accuracy calculated for dataset 1 was 98.98% and Kappa value was 0.98, higher than the other four datasets Daha fazlası Daha az

Güngör BAL

Makale | 2023 | Gazi Üniversitesi POLİTEKNİK DERGİSİ JOURNAL of POLYTECHNIC26 ( 1 ) , pp.199 - 207

Senkron generatörler elektrik enerjisinin üretiminde temel makina olma görevini sürdürmektedir. Senkron generatörlerin çıkış gerilimi ve frekansı uyartım akımı ve devir sayısı değiştirilerek kolayca ayarlanabilmektedir. Genellikle senkron generatörler şebekeye bağlı olarak çalıştıkları için çıkış gerilimi ve frekansının sabit olması gerekmektedir. Gerilimin ayarlanması için kullanılan Otomatik Gerilim Regülatörlerinde çeşitli denetleyici sistemler kullanılmaktadır. Bu çalışmada MATLAB/Simulink programında bulanık mantık tabanlı anahtarlamalı bir hibrit denetleyici yapısı önerilmiştir. Önerilen hibrit denetleyici, Yapay Arı Kolonisi . . .Algoritması kullanılarak optimize edilen PID denetleyiciyle ve Ziegler-Nichols yöntemine dayalı farklı denetleyicilerden elde edilen sonuçlarla karşılaştırılmıştır. Karşılaştırma kriterleri maksimum aşım miktarı, yükselme zamanı ve oturma zamanı olarak belirlenmiştir. Karşılaştırmanın sonuçları da çok kriterli karar verme tekniklerinden biri olan TOPSIS metodu ile analiz edilerek değerlendirilmiş ve sunulmuştur. Synchronous generators are still the main machines in the production of electrical energy. Changing the excitation current and the rotation speed easily adjust their output voltage and frequency. Since synchronous generators are operated with the grid, the output voltage and frequency must be fixed. Various control systems are used in Automatic Voltage Regulators for adjusting the voltage. In this study, a hybrid controller structure proposed and it operates in MATLAB / Simulink program. The simulation results of the proposed AVR is compared with PID adjusted by Artificial Bee Colonies algorithm and Ziegler-Nichols based different controllers. The comparison was made on maximum overshoot, rise and settling time. According to the comparison made, it was seen that the proposed hybrid controller has better response than the other controllers in terms of maximum overshoot, rise and settling Daha fazlası Daha az

Çiğdem KÖŞE

Makale | 2023 | OURNAL OF TRAUMA & DISSOCIATION , pp.1 - 16

After the changes in DSM-5, dissociative subtype was added to post-traumatic stress disorder. That caused a necessity for a scale to measure the mentioned change. A scale named Dissociative Subtype of Post-Traumatic Stress Disorder (DSPS) was developed to measure this subtype and help the diagnosis. The purpose of this study is to adapt the Dissociative Subtype of Post-Traumatic Stress Disorder to Turkish and examine its relia-bility and validity. The Dissociative Subtype of PTSD (DSPS) was translated into Turkish. DSPS, Turkish forms of The Posttraumatic Diagnostic Scale and Dissociative Experiences Scale were sent to participants . . .via Google Forms and data from 279 people aged 18–45 were analyzed. Reliability tests and factor analysis were conducted. Factor analysis showed that scale has good model fit scores and items were loaded to the factors the same as the original study. Scales internal con-sistency was examined, and a good score was obtained (α=.84). Fit index values of confirmatory factor analysis were found as χ2/df = 2.51, GFI=.90, RMSEA=.07, RMR=.02. As a result of the high reliability scores and sufficient model fit scores, this scale is considered as a dependable measure to evaluate the dissocia-tive subtype of PTS Daha fazlası Daha az