29 research outputs found

    Spor Köşe Yazılarında 4 Büyük Kulübün Olumlu-Olumsuz Kavramlarla Birlikte Anılma Durumları ve Kulüp İmajı

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    Kulüpler hakkındaki köşe yazılarının olumlu veya olumsuz olması, kulüplerin imajı ve geleceği açısından oldukça önemlidir. Bu durumun araştırılması amacıyla bu çalışmada, 4 büyük kulübün spor köşe yazılarında olumlu ve olumsuz kavramlarla birlikte anılma durumları ve bunların kulüp imajına etkileri ortaya konulmuştur. Tirajı en yüksek 5 gazeteden 52 spor köşe yazarına ait 2017-2021 yılları arasındaki yazılardan içeriğinde Fenerbahçe, Galatasaray, Beşiktaş ve Trabzonspor geçen 9862 köşe yazısıyla çalışma yürütülmüştür. İşlemlerin tamamında Doğal Dil İşleme teknikleri ve Visual Studio ortamında C# dilinde geliştirilen yazılımdan faydalanılmıştır. 42 alt kavrama sahip 19 olumlu üst kavram ile 62 alt kavrama sahip 23 olumsuz üst kavramın köşe yazılarında kulüplerle birlikte anılma durumları, geliştirilen yazılımla belirlenmiştir. Araştırma bulgularında 4 kulüple farklı sıralamalarda olsa da en çok vurgulanan 3 olumlu kavramın “saygı, dost, adalet”; en az vurgulananlarınsa bütün kulüplerde aynı sıralamada “merhamet, şefkat, kibar” olduğu görülmüştür. Öte yandan en çok/en az vurgulanan 3 olumsuz kavramdaysa kulüpten kulübe farklılık belirlenmiştir. Fenerbahçe’yle en çok “kavga, sinir, düşman”, en az “vahşi, argo, hile”; Galatasaray’la en çok “hakaret, kavga, düşman”, en az “argo, vahşi, kışkırt”; Beşiktaş ve Trabzonspor’la en çok “haksız, kavga, sinir”; Beşiktaş’la en az “argo, vahşi, holigan”; Trabzonspor’la en az “argo, kışkırt, vahşi” olumsuz kavramları birlikte anılmıştır. Bununla birlikte, köşe yazılarında olumlu kavramlara olumsuz kavramlardan daha fazla yer verildiği tespit edilmiştir. Olumlu kavramlarla daha sık anılan kulüplerin kurumsal imajının ve saygınlığının artabileceği; olumsuz kavramlarla daha çok anılan kulüplerinse zihinlerde olumsuz yer ederek kulüp imajına uzun yıllar zarar verebileceği değerlendirilmiştir

    Light-assisted hierarchical fabrication of two-dimensional surfaces using DNA-functionalized semiconductor nanocrystal quantum dots

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    The development of novel strategies for self-assembly in the field of nanotechnology has witnessed remarkable progress in recent years. Here, we present a DNA-driven programmable self-assembly to fabricate the targeted nanophotonic structures. The exploitation of the programmable properties of DNA and the unique optical properties of QDs unfolds the ability to engineer complex nanostructures with laser irradiation. The main advantages of this method are the precise interaction of colloidal quantum dots (QDs)/nanoparticles (NPs) with the substrate and its reversibility in tuning the temperature of the medium. Two-dimensional (2D) hierarchical patterns of QD-ssDNA (ss-single stranded) conjugates were formed over the amine-ssDNA (NH-ssDNA complementary to the ssDNA conjugated with QDs) coated glass substrates using the laser (green laser light) radiation for3 or4 h. The localised heating effect of laser created a dark spot on the substrate where the laser was irradiated. The optical microscopy images confirmed the effect of laser irradiation on the coating behaviour of QD-ssDNA conjugates on the substrate. Further, green-emitting QD-ssDNA were coated onto the hole created by laser radiation over the red-emitting QD-ssDNA-coated substrate. The optical properties of DNA-functionalized QDs can be actively controlled on the complementary DNA-functionalized glass surface by an external optical excitation. The results of this study demonstrate the potential of light-driven self-assembly as a powerful tool for fabricating desired nanostructures of DNA-QD conjugates. This technique holds promise for various applications, including the development of advanced optical devices, nanophotonic circuits, and bioengineering systems

    Strain relatedness in gram-negative bacteremia: Cause or contamination?

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    Aim: Bloodstream infections are a major cause of mortality, 25% of which are associated with gram-negative bacteremia. To avoid the inappropriate use of antibiotics, it is important to differentiate the bacteremia from contamination. In general, gram-positive bacteria were more likely to be contaminants than gram-negative-bacteria. There is little information in the literature concerning the epidemiology of gram-negative bacteria isolated from sequential blood cultures. Therefore, we aimed to examine the molecular epidemiology of gram-negative bacteria isolated from sequential blood cultures. Material and Methods: A total of 56 patients (112 samples and strains) with two or more sequential positive blood cultures for gram-negative bacteria with the same antibiogram were included in the study. Pulsed-field gel electrophoresis (PFGE) and arbitrarily primed PCR (AP-PCR) were performed for the determination of strain relatedness. Results: While PFGE analysis demonstrated relatedness in 6 isolates, AP-PCR demonstrated 9 relatedness in 112 isolates. Discussion: The results of our study suggest that, although the possibility of contamination is very low in gram-negative bacteremia, this can still take place, as shown in sequential blood cultures with the same antibiogra

    Previous, simultaneous, or subsequent occurrence of malignant tumours in patients with primary hyperparathyroidism: a closer look at the single-tertiary-centre cases

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    Introduction: Our aims were to explore the relationship between primary hyperparathyroidism (pHPT) and malignant tumour development, to determine the frequency and the time of occurrence of malignant tumours in patients with pHPT, and to evaluate the characteristics of pHPT in these patients. Material and methods: This retrospective cohort study included consecutive individuals who were diagnosed with pHPT aged 18 years or older in a university hospital during a 7-year period. A total of 198 patients with pHPT were reviewed retrospectively. Demographic, clinical, biochemical, radiologic findings, and histopathological diagnosis were collected from the electronic medical records of the hospital system. Results: The mean age of the study population was 58 ± 13 years and was predominantly female (female/male: 162/36). There were 42 (21.2%) patients with malignant tumours. Five (12%) out of 42 patients had metachronous double malignancies. The most common 2 concurrent malignancies were breast (36.1%) and thyroid (17.0%). Sixty-eight per cent of the malignant tumours occurred before the diagnosis of pHPT. A higher percentage (87.5%) of simultaneous tumours was seen in the thyroid gland. No statistically significant differences were observed between patients with and without malignant tumours in terms of demographic, clinical, biochemical, radiological, and histopathological features. The median follow-up duration was 24 months after parathyroid surgery. Conclusion: The results of this study revealed that pHPT was associated with various tumour types. The frequency of malignant tumours was 21.2%. Breast and thyroid cancers were the most common 2 cancers coexisting with pHPT. A large percentage of malignant tumours occurred before the diagnosis of pHPT. A higher percentage of simultaneous tumours was seen in the thyroid gland. pHPT patients with and without malignant tumours seemed to have similar characteristics

    İstanbul İlindeki Kent Ağaçlarında Budama Çalışmalarının Değerlendirilmesi

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    Kent ağaçlarında budama çalışmalarının değerlendirildiği bu çalışmada; İstanbul İlinde yapılan budama çalışmaları ve bu çalışmaların başarısının ortaya konulması amaçlanmıştır. Araştırma kapsamında, İstanbul Büyükşehir Belediyesi Park ve Bahçeler Müdürlüğü tarafından 2006 yılından itibaren devam eden budama çalışmalarının yapıldığı alanlar örneklenmiştir. Kent içi ağaçların bulunduğu alanların çok sayıda olması ve birbirleriyle benzer özellikler göstermesi nedeniyle cadde, koru ve meydan ağaçlandırma alanlarından bazıları örnek alan olarak seçilmiştir. Örnek alanlarda yapılan arazi çalışmalarında ölçümler yapılmış ve veriler elde edilmiştir. Ağaçların budama istekleri, sağlık durumları, bulunduğu mekân, insan ve çevre faktörü göz önünde bulundurulmak suretiyle, budama çalışmalarının etkilerini belirlemek amaçlanmıştır. Bu maksatla, aynı alan üzerinde bulunan ağaçların, budama öncesi ve sonrasına ait çekilmiş resimlerinin karşılaştırılmasıyla değerlendirmeler yapılmıştır. Budama çalışmalarının etkilerini tespit etmek üzere, eski ve yeni fotoğraflara dayalı anket formu geliştirilmiştir. Buna göre budama öncesi ve sonrasına ilişkin yapılan anket sonucunda istatistiksel olarak anlamlı farklılıklar tespit edilmiştir. Ayrıca araştırma kapsamında, budama yapılan ağaçların; genel durumları, bakım sorunları incelenmiş ve çözüm önerileri getirilmeye çalışılmıştır

    Deep-learning-based short-term electricity load forecasting: A real case application

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    The rising popularity of deep learning can largely be attributed to the big data phenomenon, the surge in the development of new and novel deep neural network architectures, and the advent of powerful computational innovations. However, the application of deep neural networks is rare for time series problems when compared to other application areas. Short-term load forecasting, a typical and difficult time series problem, is considered as the application domain in this study. One-dimensional Convolutional Neural Networks (CNNs) use is rare in time series forecasting problems when compared to Long Short Term Memory (LSTM) and Gated Recurrent Unit (GRU), and the efficiency of CNN has been rather remarkable for pattern extraction. Hence, a new method that uses one-dimensional CNNs based on Video Pixel Networks (VPNs) in this study, in which the gating mechanism of Multiplicative Units of the VPNs is modified in some sense, for short term load forecasting. Specifically, the proposed one-dimensional CNNs, LSTM and GRU variants are applied to real-world electricity load data for 1-hour-ahead and 24-hour-ahead prediction tasks which they are the main concerns for the electricity provider firms for short term load forecasting. Statistical tests were conducted to spot the significance of the performance differences in analyses for which ten ensemble predictions of each method were experimented. According to the results of the comparative analyses, the proposed one-dimensional CNN model yielded the best result in total with 2.21% mean absolute percentage error for 24-h ahead predicitions. On the other hand, not a noteworthy difference between the methods was spotted even the proposed one-dimensional CNN method yielded the best results with approximately 1% mean absolute percentage error for 1-h ahead predictions.Q1WOS:0007629763000242-s2.0-8512262726

    Robust single-phase inverter based on the buck-boost converter through an efficient hybrid control

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    This study presents a new and robust single-phase inverter based on the buck-boost converter. The proposed inverter topology has minimised numbers of active and passive elements that provide less complexity and cost. Unlike similar studies in the literature, an efficient hybrid control technique is used for the control of the inverter operation. The hybrid control technique is comprised of the traditional feedback proportional-integral-derivative (PID) controller and the new proposed open-loop control technique called 'control law'. This hybrid control technique provides stable and high response performance operation for the proposed inverter while the system parameters change. The proposed inverter can operate with a wide range of output frequency and output voltage value on different load conditions while satisfying <5% voltage total harmonic distortion (THD) value of the output voltage. An experimental laboratory setup with the values of 0.5 kW, 0-100 V-p and 0-50 Hz is built for the proposed inverter. The experimental results demonstrate that the proposed inverter can produce high-quality output voltage with <5% THD on different input and output system parameters
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