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Links connecting conflict management behaviors, job satisfaction and innovation performance in the retail grocery sector in Turkey
No full textThis paper explores the associations between conflict management behaviors, job satisfaction, and innovation performance as felt by 322 blue-collar workers in supermarket chains in Istanbul. The authors collected data through direct and virtual surveys and a convenience sampling methodology. The study uses frequency analysis, confirmatory factor analysis, item-level summary statistics, linear regression analysis, moderating analysis, and simple plots. The results indicate that integrating and compromising managers are significantly and positively associated with innovation performance while dominating, obliging, and avoiding managers are significantly and negatively related to innovation performance. Job satisfaction significantly and positively moderates the links between integrating and compromising managers and innovation performance. Job satisfaction significantly and negatively affects the relationships between dominating, obliging, and avoiding managers and innovation performance. The study focuses on some supermarkets and treats a low number of respondents. Conflict management strategies reflect employee perceptions that might lead to attributive misconceptions. The paper exclusively portrays how job satisfaction moderates links between management styles in dispute resolution and novelty
EVALUATION OF THE GASTRONOMY TOURISM POTENTIAL OF BEYKOZ DISTRICT BY SWOT ANALYSIS
No full textIn this study, in order to determine the gastronomy tourism potential of Beykoz district, located in the province of Istanbul, it was aimed to determine the strengths-weaknesses and opportunities-threats of the district in terms of gastronomy tourism by SWOT analysis. While the population of the study consists of tourism businesses operating in the Beykoz district of Istanbul, the sample of the study consists of 28 business managers and enterprises who voluntarily participated in the study among the tourism businesses operating in this district. In the study, interview technique, one of the qualitative data collection methods, was used and content analysis was applied to the obtained data. When the findings obtained as a result of the study are examined, it is seen that the strength of the district is its geographical location, its weakness is the lack of promotion, advertising and socio-cultural structure, its biggest opportunity is that it has coasts to the Marmara and Black Sea and is located on the Bosphorus, and its threats are that investors in the region have not been able to adopt the concept of gastronomy tourism. For future studies, research can be done based on the SWOT data obtained from the study, and studies are recommended especially for local, indigenous products and products with regional geographical indication potential. It is thought that as the number of such studies increases, an element of attraction can be created in the region and a destination image can be created
Image matching using hybrid graph neural networks
No full textLisansüstü Eğitim Enstitüsü, Bilgisayar Mühendisliği Ana Bilim DalıGörüntü eşleştirme, nesne tanıma, 3B yeniden yapılandırma ve otonom navigasyon gibi bilgisayar görüşü uygulamalarında kritik bir görevdir. Çizge sinir ağlarının (ÇSA) ortaya çıkışı, görüntü eşleştirme algoritmalarının doğruluğunu ve verimliliğini artırmak için yeni yollar açmıştır. Bu tez, farklı veri setlerini kullanarak bu yöntemleri değerlendirip geliştirmek için ÇSA'ların görüntü eşleştirme uygulamasını araştırmaktadır. Araştırma başlangıçta, PASCAL VOC ve WILLOW-object class gibi yaygın tanınan veri setlerine ÇSA tabanlı algoritmaların uygulanmasına odaklanmaktadır. Çeşitli görüntü ve açıklamaları ile tanınan bu veri setleri, görüntü eşleştirme algoritmalarını test etmek ve geliştirmek için bir temel olarak hizmet etmektedir Yukarıda bahsedilen veri setleri ile daha iyi ve hızlı sonuçlar elde edebilmek için hibrit bir sistem önerisi sunulmuştur. Bu tez ayrıca, ÇSA'lar ve görüntü eşleştirme üzerine son dönemin önemli makalelerinden elde edilen bulguları entegre etmektedir. Farklı veri setleri üzerinden yapılan karşılaştırmalı analiz, ÇSA tabanlı görüntü eşleştirme algoritmalarının güçlü ve zayıf yönlerine dair kapsamlı bir şekilde anlaşılmasını sağlamak amacıyla yapılmıştır. Bu araştırmanın sonucunun, görüntü eşleştirme görevlerinde ÇSA'ların çok yönlülüğünü ve sağlamlığını göstererek bilgisayar görüşü alanına önemli bir katkı sağlaması amaçlanmıştır. Bu çalışma, sadece ÇSA'ların görüntü eşleştirme konusundaki teorik anlayışı geliştirmekle kalmayıp, aynı zamanda çeşitli bağlamlarda uygulanmalarına dair pratik görüşler sunmaktadır.Image matching is a critical task in computer vision applications such as object recognition, 3D reconstruction, and autonomous navigation. The emergence of Graph Neural Networks (GNNs) has opened new avenues to improve the accuracy and efficiency of image matching algorithms. This thesis investigates the application of GNNs to image matching, aiming to evaluate and enhance these methods using different datasets. The research initially focuses on applying GNN-based algorithms to well-known datasets like PASCAL VOC and WILLOW-object class. These datasets, known for their variety of images and annotations, serve as a foundation for testing and developing image matching algorithmsA hybrid system proposal is presented to obtain better and faster results with the above-mentioned data sets. Additionally, this thesis integrates findings from recent significant papers on GNNs and image matching. The comparative analysis across different datasets is conducted to comprehensively understand the strengths and weaknesses of GNN-based image matching algorithms. The outcome of this research is expected to significantly contribute to the field of computer vision by demonstrating the versatility and robustness of GNNs in image matching tasks. This study not only advances the theoretical understanding of GNNs in image matching but also offers practical insights into their application in various contexts
TÜRK KATILIM BANKACILIĞI SEKTÖRÜNÜN PERFORMANSININ LOPCOW-MOOSRA MODELİYLE ANALİZİ
No full textTürkiye’de finansal sistem içerisinde en büyük paya sahip sektör bankacılık sektörüdür. Ülkemizde faizden uzak işlem yapmak isteyen büyük bir kesimin bulunması sebebiyle katılım bankacılığı sektörü bankacılık sektörü içerisindeki payını gün geçtikçe artırmaktadır. Bu çalışmada Türk Katılım Bankacılığı sektörünün 2021 Ocak – 2022 Ekim dönemine ait finansal performansının ölçülmesi amaçlanmıştır. Böylelikle İslami bankalar için sektör içinde en önemli finansal performans göstergelerinin belirlenmesi amaçlanmaktadır. Çalışmada katılım bankalarına ait toplam sektör verileri kullanılarak 6 kriter üzerinden performans değerlendirmesi yapılmıştır. Bu kriterler sırasıyla Krediler, Alınan Kâr Payları, Aktif Kârlılığı, Özkaynak Kârlılığı, İşletme Giderleri / Ortalama Toplam Aktifler ve Yabancı Kaynaklar / Toplam Özkaynaklardır. LOPCOW yöntemi ile kriterlerin ağırlıklandırılması yapıldıktan sonra, MOOSRA yöntemi ile belirlenen alternatiflerin sıralaması yapılmıştır. LOPCOW yöntemi sonuçları katılım bankalarının finansal performansının belirlenmesinde en etkili kriterin Yabancı Kaynaklar / Toplam Özkaynaklar kriteri olduğunu ortaya koymaktadır. Çalışmanın bulguları, katılım bankacılığı sektörünün en başarılı olduğu dönemin Ekim 2022, en başarısız olduğu dönemin ise Ocak 2021 olduğunu göstermektedir. Ayrıca, bulgular sektörün performansının sürekli artma eğiliminde olduğunu ortaya koymaktadır
Decays of fully beauty scalar tetraquarks to BqBq and B*qB*q mesons
No full textDecays of the fully beauty four -quark structures X4b and T4b to B meson pairs are investigated in the framework of the QCD three-point sum rule method. We model the scalar exotic mesons X4b and T4b as diquark-antidiquark systems composed of the axial-vector and pseudoscalar diquarks, respectively. The masses m = (18540 +/- 50) MeV and m similar to = (18858 +/- 50) MeV of these compounds calculated in our previous articles fix possible decay channels of these particles. In the present work, we consider their decays to BqB over bar q and B*qB over bar *q (q = u, d, s, c) mesons. In the case of X4b, the mass of which is below the 2 eta b threshold, these channels determine essential part of its full width Gamma 4b. The tetraquark T4b can decay to the pair eta b eta b; therefore, partial widths of processes with B(B*) mesons in the final state permit us to refine our estimate for the full width of this particle. The predictions Gamma 4b = (9.6 +/- 1.1) MeV and Gamma similar to Full 4b = (144 +/- 29) MeV obtained in this article can be used in future experimental investigations of four b -quark mesons.Iran National Science Foundation (INSF) [4025036]K. A. is thankful to Iran National Science Foundation (INSF) for the financial support provided under the elites Grant No. 4025036
The impact of economic policy uncertainty on the profitability of textile industry: evidence from BRIC countries
No full textThere has recently been a growing interest in the impact of economic policy uncertainty at the micro- and macro-level in developing and emerging market economies. This study aims to analyse the impact of economic policy uncertainty on the profitability of more than 500 publicly listed textile companies in BRIC countries for the period 2012-2021. By employing the panel data methodology, we find that the economic policy uncertainty index developed by has a significantly negative contemporaneous and lagged effect on financial performance. Our findings are robust to both alternative profitability metrics and dynamic model specifications. We also identify that economic policy uncertainty exerts an adverse impact on profitability through the capital structure channel at the micro-level and institutional quality channel at the macro-level. While equity capital can emerge as a powerful weapon against the consequences of heightened uncertainty at the firm level, any improvement in the institutional framework at the national level can also help firms to mitigate the losses from unanticipated policy changes. However, there are certain limitations to which good institutions absorb uncertainty shocks when they are permanently at a high plateau
The integrated hydro-solar e-fuel production for a tea factory: Preliminary design and thermodynamic analysis
No full textThis paper presents the preliminary design and thermodynamic analysis of hydropower and solar integrated efuel production system for a tea factory. In this regard, an integrated hydro-solar e-fuel production system has been developed, which is mainly able to produce e-methanol and green hydrogen. The system contains five main subsystems: i) Proton exchange membrane electrolyzer system, ii) CO2 capture and storage system, iii) Methanol production system, iv) Photovoltaic system, and v) Penstock hydroelectric power plant. In terms of the general system operating principle, it is important to emphasize that the energy need of the system is supplied by solar power plant during the sunshine duration (the case 1) and provided by hydropower plant in the period when solar energy is not sufficient (the case 2). Considering the required assumptions, in the first step, preliminary design was performed, and in the second step, the energy and exergy analyzes were achieved, and in the final step, the effects of parameters such as CO2 capture efficiency, methanol reactor conversion ratio, and environmental temperature on the system performance were parametrically investigated. Accordingly, in the case 1, the maximum energy and exergy efficiencies of the integrated e-fuel production system were respectively obtained to be 7.132% and 6.569% while, in the case 2, those were respectively calculated to be 39.44% and 42.36%. Moreover, approximately 235.9 tons of CO2 emission in operation period of the tea factory considered in this work can be reduced by the integrated hydro-solar e-fuel production system that has a production capacity of 399.8 kg/h for methanol and 37.73 kg/h for hydrogen. It is expected that the integrated system concept may contribute to the researchers, system designers, policy makers, investors, and different enterprises for practical applications
Current feedback operational amplifier-based fully orthogonal universal and multifunction filters
No full textThis paper introduces a second-order voltage-mode (VM) multiple-input single-output (MISO) universal filter and a second-order current-mode (CM) single-input multiple-output (SIMO) multifunction filter. The introduced VM MISO universal filter includes a single current feedback operational amplifier (CFOA) and a single voltage follower as active elements, while the introduced CM SIMO multifunction filter contains two CFOAs. Both introduced circuits are orthogonally controllable. In other words, the quality factors can be controlled through a single resistor without affecting the resonance frequencies. Both circuits have low sensitivities and no passive element-matching conditions. The introduced VM MISO universal filter has a low output impedance. Moreover, to extract the output currents of the proposed CM SIMO from high impedance terminals, second-generation current conveyor-based version of the circuit is introduced. Simulations are made through the PSPICE program, where 0.13-mu m IBM CMOS technology parameters are utilized. DC supply voltages are selected as +/- 0.9 V. In the experiments, AD844s are used, and DC supply voltages are chosen as +/- 7.5 V. This paper introduces a second-order voltage-mode multiple-input single-output universal filter and a second-order current-mode (CM) single-input multiple-output multifunction filter. Moreover, to extract the output currents of the proposed CM filter from high impedance terminals, second-generation current conveyor-based version of the circuit is introduced.imagePamukkale University [2023UEBD]Pamukkale University, Grant/Award Number: 2023UEB
Maximizing the hydrogen content for methanol steam reforming processes by using the novel pareto-based multi-objective evolutionary algorithms
No full textThis research focuses on the methanol-steam reforming (MSR) process to produce hydrogen-rich syngas. A thermodynamic equilibrium reactor was designed for the process, using the Peng-Robinson fluid package for all liquid and gas components. This research aims to reveal the collective impacts of three main parameters-reaction temperature (RT) (100-500 degrees C in 50 degrees C intervals), reactor pressure (RP) (1-7 atm in 2 atm intervals), and methanol-to-water (MtW) molar ratio (0.25, 0.5, 1, 2, and 4 atm)-on syngas composition. Additionally, Pareto-based multi-objective evolutionary algorithms (MOEAs), including Multimodal Multi-Objective Differential Evolution with Improved Crowding Distance (MMODE_ICD), Multi-Objective Slime Mould Algorithm (MOSMA), and Improved Multi-Objective Manta-Ray Foraging Optimization (IMOMRFO), were used to maximize hydrogen composition at the reactor outlet. Using these algorithms, the operating parameters for the MSR were optimized. The highest hydrogen content achieved under these conditions was 67.90% among syngases. However, it could be increased by 7.22% with MMODE_ICD, 6.92% with MOSMA, and 4.71% with IMOMRFO algorithms. Furthermore, the algorithms predicted actual data with error margins of 1.1% for MMODE_ICD, 0.28% for MOSMA, and 3.52% for IMOMRFO. In conclusion, this research demonstrates that Pareto-based multiobjective evolutionary algorithms are very effective tools for increasing hydrogen production in MSR processes.National Science Foundation (NSF) [HRD-2112554]; NSF REU Site [1852506]supported by the National Science Foundation (NSF) with Award HRD-2112554 as well as NSF REU Site: Award number: 1852506.r supported by the National Science Foundation (NSF) with Award HRD-2112554 as well as NSF REU Site: Award number: 1852506
The impact of economic policy uncertainty on the profitability of textile industry: evidence from BRIC countries
No full textThere has recently been a growing interest in the impact of economic policy uncertainty at the micro- and macro-level in developing and emerging market economies. This study aims to analyse the impact of economic policy uncertainty on the profitability of more than 500 publicly listed textile companies in BRIC countries for the period 2012-2021. By employing the panel data methodology, we find that the economic policy uncertainty index developed by has a significantly negative contemporaneous and lagged effect on financial performance. Our findings are robust to both alternative profitability metrics and dynamic model specifications. We also identify that economic policy uncertainty exerts an adverse impact on profitability through the capital structure channel at the micro-level and institutional quality channel at the macro-level. While equity capital can emerge as a powerful weapon against the consequences of heightened uncertainty at the firm level, any improvement in the institutional framework at the national level can also help firms to mitigate the losses from unanticipated policy changes. However, there are certain limitations to which good institutions absorb uncertainty shocks when they are permanently at a high plateau