BEYZA NUR BİLGE KIRÇALI

Tez | 2021 | İstanbul Ayvansaray Üniversitesi Lisansüstü Eğitim Enstitüsü

2019 yılı sonuna doğru Çin Wuhan’da görülmeye başlayan, yüksek yayılım hızıyla başka ülkelere yayılarak pandemi haline gelen koronavirüs (CoV) enfeksiyonu (2019-nCoV), Dünya Sağlık Örgütü- DSÖ (World Health Organisaton-WHO) tarafından “Koronavirüs Hastalığı 2019”un kısaltması olan “COVİD-19” olarak adlandırılmıştır. SARS-CoV-2, kişiden kişiye bulaşan pozitif polariteli tek zincirli bir RNA virüsüdür. Salgının yüksek hızda yayılımıyla alakalı artış gösteren kaygılar sebebiyle Dünya Sağlık Örgütü tarafınca 11.02.2020 tarihi pandemi olarak açıklanmıştır. Ülkemizde Covid-19, 2020 Mart ayından beri görülmektedir. Bu süreçten en çok etkil . . .enen kesim sağlık çalışanları olmuştur. Sağlık çalışanlarının yoğun çalışmalarının dışında, kendilerinin yahut yakınlarının hastalanması, hastalık bulaştırma riski, bu süreci daha da zor geçirmelerine sebep olmuştur. Bununla beraber uygulanan tedavinin bireylerde farklı sonuçlar göstermesi, bazı vakaların ölümle sonuçlanması, salgının hızla yayılmaya devam etmesi sonucunda zaman zaman bireylerde umutsuzluğa sebep olmuştur. Bu çalışmada salgından etkilenen hastalara bakım veren sağlık çalışanlarının algıladıkları stres düzeyleri ile mesleki tükenmişlik düzeyleri arasındaki ilişkide umutsuzluğun aracı rolü incelenecektir. Çalışmamızda bilgi formundan gerçekleşen 15 soruluk anket, Maslach Tükenmişlik Ölçeği, Beck Umutsuzluk Ölçeği, Algılanan Stres Ölçeği kullanılacaktır. Bu araştırmanın evrenini sağlık çalışanları oluşturmaktadır. Çalışma İstanbul’da Beylikdüzü Devlet Hastanesi’ndeki sağlık çalışanlarından gerçekleşen 300 bireylik bir örneklem grubuna uygulanacaktır. Araştırma betimsel bir çalışma olup, Covid-19 hastalarına bakım veren sağlık çalışanları örnekleminde algılanan stres, umutsuzluk düzeyleri, mesleki tükenmişlik düzeyleri arasındaki münasebetleri ortaya koymak için ilişkisel tarama modeline uygun olarak gerçekleştirilecektir. Araştırmada IBM Spss, Lisrel 8.80 paket programı kullanılacaktır. Coronavirus (CoV) infection (2019-nCoV), which emerged in Wuhan, China in late 2019 and rapidly spread to other countries and became a pandemic, is the abbreviation of "Coronavirus Disease 2019" by the World Health OrganizationWHO (World Health Organisaton-WHO). It has been called "COVİD-19". SARSCoV-2 is a positive-polarity single-stranded RNA virus that can be transmitted from person to person. Due to the growing concerns about the rapid spread of the epidemic, it was declared a pandemic by World Health Organization on 11.02.2020. Covid-19 has been seen in our country since March 2020. Healthcare workers were the most affected by this process. Apart from the intense work of healthcare professionals, they or their relatives getting sick and the risk of contagion caused them to spend this process even more difficult. However, the different results of the treatment applied to the people and the death of some cases, the epidemic continued to spread rapidly, causing despair from time to time. In this study, the mediating role of hopelessness in the relationship between the perceived stress levels of healthcare workers who care for patients affected by the epidemic and their occupational burnout will be examined ven our study, a questionnaire consisting of 15 questions consisting of information form, Maslach Burnout Scale, Beck Hopelessness Scale and Perceived Stress Scale will be used. Healthcare professionals constitute the universe of this research. The study will be applied to a sample group of 300 people consisting of healthcare professionals in Beylikdüzü State Hospital in Istanbul. The research is a descriptive study and will be carried out in accordance with the relational screening model to reveal the relationships between perceived stress, hopelessness levels and occupational burnout levels in the sample of healthcare professionals caring for Covid-19 patients. IBM Spss and Lisrel 8.80 package program will be used in the research Daha fazlası Daha az

ELİF DELİCE

Makale | 2022 | Nova Science Publishers, Inc.

In recent years, researchers have highlighted how large volumes of data can be transformed into information to determine customer behaviors, and data mining applications have become a major trend. It has become critical for organizations to use a tool for understanding the relationships between data to protect their marketplace by increasing customer loyalty. Thanks to data mining applications, data can be processed and transformed into information, and in this way, target audiences can be determined while developing marketing strategies. This chapter aims to increase the market share with products specific to the customer portfolio . . ., introduce strategic marketing tools for retaining old customers, introduce effective methods for acquiring new customers, and increase the retail sales chart, based on purchasing habits of customers. The data set was collected under pandemic conditions during the COVID-19 process and analyzed to support retail businesses in their online shopping orientation. By examining the local customer base, it was assumed that the customer group would display similar behaviors in online or teleordering methods, customer identification and order estimation were made to follow an effective sales policy. Segmentation was performed with data mining applications, and the grouped data were separated according to their similarities. The data set consisting of demographic characteristics and various product information of the enterprise's customers were analyzed with Decision Tree and Random Forest, which are data mining methods, the best performing algorithm in the data set was selected by comparing the performance of the methods. As a result of the findings, appropriate suggestions were given to the business to determine the purchasing tendencies of the customers and to increase the level of effectiveness in sales-marketing strategies. In this way, materials were presented to assist the enterprise in developing strategies to increase the number of sales by taking faster and more accurate action by avoiding the time and expense that would be lost by the trial-error method. © 2022 Nova Science Publishers, Inc. All rights reserved Daha fazlası Daha az

Metin Zontul

Makale | 2022 | Conference Proceedings

Since increasing oil prices and vehicle costs increase transportation costs in order delivery systems, the optimal vehicle loading and routing is very crucial for the companies in competitive conditions. Although there are many studies related to optimal vehicle loading and routing by using linear programming and heuristic algorithms, there is not enough practical web service-based application in the literature. In this study, we propose a hybrid model to solve the problem of two-dimensional vehicle pallet loading with routing for a real-world data by combining Knapsack Problem solver algorithms such as MaxRects, Skyline and Guillot . . .ine with Dijkstra's algorithm for loading and routing respectively as a web service-based application. © 2022 IEEE Daha fazlası Daha az

AREF YELGHI

Makale | 2022 | Conference Proceedings

In recent years, many applications based on the Neural Network, Neuro-Fuzzy, and optimization algorithms have been more common for solving regression and classification problems. In the Adaptive Neuro-fuzzy inference system(ANFIS), many researchers used the adaption of metaheuristic algorithms with ANFIS to propose the best estimation model. However, many researchers only focused on the experiment without the demonstration mathematical or indicating which characteristic of optimization algorithm, during the run, affect and settable in coordination with ANFIS. The paper provides an adaption of metaheuristic algorithms with ANFIS whic . . .h has been performed by considering accuracy parameters in layer 1 and layer 4 for the estimation problem. It is integrated six well-known metaheuristic algorithms and extracting the characteristic of them. In the experiment, the metaheuristic algorithms based on the evolutionary computation have been demonstrated more stable than swarm intelligence methods in tuning parameters of ANFIS. © 2022 IEEE Daha fazlası Daha az

AREF YELGHI

Makale | 2022 | Conference Proceedings

The aim of this study is to provide a novel method routing in ad hoc networks using ant colony algorithm. Hence for this study the researcher attempts to discover and create routes with less number of crossings, nodes sustainable and less energy transfer, to reduce latency end-to-end, save bandwidth and to extend the life and increase the lifetime of the network nodes. Research methodology for simulation algorithm has been OPNET software. Therefore, the proposed algorithm's performance was compared with one of the most routing algorithms in mobile ad hoc networks Ant Hoc Net. The results showed that the proposed algorithm compared w . . .ith Ant Hoc Net has more end-to-end delay, more package shipping, and less routing overhead can reduce energy consumption and thus increases the lifetime of the network nodes. The results of this study indicate that the latency end-to-end, saving bandwidth and increasing lifetime of nodes and network lifetime can be predicted by the proposed algorithm. © 2022 IEEE Daha fazlası Daha az

DENİZ BERKER

Makale | 2021 | Handbook of Research on Contemporary Approaches to Orientalism in Media and Beyond , pp.953 - 973

The place and importance of mass media as an ideological device is accepted without any discussion today. The sovereign states, trying to impose their ideology and world view to "others," impose the dominant ideology by using the media as well as economic and political pressure. Cinema is like a mirror that reveals the socio-cultural and economic structures in societies and reflects all changes and conflicts. Therefore, the relationship between cinema and social structure is quite strong. At this point, the relationship between cinema and orientalism, which is the subject of the study, becomes important. Orientalism is constantly be . . .ing reproduced through cinema, which is one of the most effective mass media. In this context, the movie Aladdin produced in 2019 will be analyzed in order to analyze how the orientalist perspective is reproduced with cinema and how the eastern image is "otherized." In the study, critical discourse analysis method was preferred for the purpose of analyzing the social and political backgrounds of the ideologies in the film. © 2021, IGI Global Daha fazlası Daha az

DERYA DEMİRDELEN ALRAWADIEH

Makale | 2021 | Edward Elgar Publishing Ltd.

The current COVID-19 pandemic has gained unprecedented scholarly attention across almost all disciplines and hospitality and tourism industry is no exception. Given the persistence of the pandemic, there seems to be much to know about its possible impacts and how countries react to build resilience and help businesses to recover and rest. Drawing on the case of Turkey and focusing on the hospitality and tourism industry, this chapter maps the governmental response to the pandemic in terms of measures taken and restrictions imposed. The chapter begins with a brief description of the key observed and projected impacts of COVID-19 on t . . .he hospitality and tourism industry including hotels, airlines, and restaurants. It proceeds with scrutinizing governmental circulars and notices aiming at regulating different aspects of the hospitality and tourism industry. The chapter concludes by reflecting on the governmental strategies to help individuals and businesses cope with the pandemic, Äôs adverse impacts. © Dogan Gursoy, Mehmet Sarıışık, Robin Nunkoo and Erhan Boğan 2021 Daha fazlası Daha az

Emine Karakeçili

Makale | 2021 | Turkish Studies - Social Sciences16 ( 2 ) , pp.637 - 645

Being a significant popular culture phenomenon nowadays, advertisements focus on product promotion. Through mass media, advertisements not only promote goods and services but also create new trends which would become prominent by individual and social identities. Products with advertisements basically involving individuals’ needs are no longer a sufficient motive for the individuals to prefer them because the diversity in the market also brought about the need for different factors that would make people lean to those products. The main factor in popular culture is creating a specific area of usage and releasing the product into mar . . .ket for consumption. In other words, this culture could possibly make itself a requirement/need. Although this is actually something imposed, it is demonstrated as a value which presents freedom for the society and leaves individuals with their own preferences. Products unique to popular culture give individuals temporary happiness and make them addicted through their pleasure. The reason for giving temporary happiness is because they do not maintain continuity. Popular culture spares no sacrifice in terms of advertising in making itself accepted among the society. The result is the use of gender as the main factor in the advertising content. It is obvious that gender, thus sexuality, serves triggering consumers’ buying motivations and desires. This study will address the images of women in TV commercials and their effect. Document review method has been used study Daha fazlası Daha az

Bahar Akın

Makale | 2022 | KEDI Journal of Educational Policy , pp.637 - 645

This study aims to investigate the factors affecting the acceptance of e-learning among university students, especially during the COVID-19 pandemic, and to reveal the factors affecting the reasons for students to use e-learning systems. We adopted the Technology Acceptance Model (TAM) to understand better the adoption of e-learning systems by university students. We gathered data from 716 university students who received distance education during the pandemic and used SPSS 22.0, AMOS 22.0 and SmartPLS 3.3 software to perform statistical analyses. The findings indicate that compatibility is related to perceived ease of use and perce . . .ived usefulness. Moreover, attitude is influenced by perceived ease of use and perceived usefulness. The results reveal the importance of perceived ease of use, perceived usefulness, self-learning necessity, and compatibility on intention to use Daha fazlası Daha az

Javad Rahebi

Makale | 2023 | Article,Energies , pp.1 - 18

For Brush-less DC motors to function better under various operating settings, such as constant load situations, variable loading situations, and variable set speed situations, speed controller design is essential. Conventional controllers including proportional integral controllers, frequently fall short of efficiency expectations and this is mostly because the characteristics of a Brush-less DC motor drive exhibit non linearity. This work proposes a hybrid gray wolf optimization and proportional integral controller for management of the speed in Brush-less DC motors to address this issue. For constant load conditions, varying load . . .situations and varying set speed situations, the proposed controller’s efficiency is evaluated and contrasted with that of PID controller, PSO-PI controller, and ANFIS. In this study, two PI controller are used to get the more stability of the system based on tuning of their coefficients with meta heuristic method. The simulation findings show that Hybrid GWO-PI-based controllers are in every way superior to other controllers under consideration. In this study, four case studies are presented, and the best-case study was obtained 0.18619, 0.01928, 0.00030, and 0.01233 for RMSE, IAE, ITAE, and ISE respectively Daha fazlası Daha az

Javad Rahebi

Makale | 2023 | Springer

Compressing the image causes less memory to be used to store the images. Compressing images increases the transmission speed of compressed images in the network. Vector quantization (VQ) is one of the image compression methods. The challenge of the vector quantization method for compression is the non-optimization of the codebooks. Codebook optimization increases the quality of compressed images and reduces the volume of compressed images. Various methods of swarm intelligence and meta-heuristics are used to improve the vector quantization algorithm, but using meta-heuristic methods based on mathematical sciences has less history. T . . .his paper uses an improved sine–cosine algorithm (SCA) version to optimize the vector quantization algorithm and reduce the compression error. The reason for using the SCA algorithm in image compression is the balance between the search for exploration and exploitation search by sine and cosine functions, which makes it less likely to get caught in local optima. The proposed method to reduce the calculation error of the SCA algorithm uses spiral trigonometric functions and a new mathematical helix. The proposed method searches for optimal solutions with spiral and snail searches, increasing the chances of finding more optimal solutions. The proposed method aims to find a more optimal codebook by the improved version of SCA in the VQ compression algorithm. The advantage of the proposed method is finding optimal codebooks and increasing the quality of compressed images. The proposed method implementing in MATLAB software, and experiments showed that the proposed method’s PSNR index improves the VQ algorithm’s ratio by 13.73%. Evaluations show that the proposed method’s PSNR index of compressed images is higher and better than PBM, CS-LBG, FA-LBG, BA-LBG, HBMO-LBG, QPSO-LBG, and PSO-LBG. The result shows that the proposed method (or ISCA-LBG) has less time complexity than HHO and WOA compression algorithms.Compressing the image causes less memory to be used to store the images. Compressing images increases the transmission speed of compressed images in the network. Vector quantization (VQ) is one of the image compression methods. The challenge of the vector quantization method for compression is the non-optimization of the codebooks. Codebook optimization increases the quality of compressed images and reduces the volume of compressed images. Various methods of swarm intelligence and meta-heuristics are used to improve the vector quantization algorithm, but using meta-heuristic methods based on mathematical sciences has less history. This paper uses an improved sine–cosine algorithm (SCA) version to optimize the vector quantization algorithm and reduce the compression error. The reason for using the SCA algorithm in image compression is the balance between the search for exploration and exploitation search by sine and cosine functions, which makes it less likely to get caught in local optima. The proposed method to reduce the calculation error of the SCA algorithm uses spiral trigonometric functions and a new mathematical helix. The proposed method searches for optimal solutions with spiral and snail searches, increasing the chances of finding more optimal solutions. The proposed method aims to find a more optimal codebook by the improved version of SCA in the VQ compression algorithm. The advantage of the proposed method is finding optimal codebooks and increasing the quality of compressed images. The proposed method implementing in MATLAB software, and experiments showed that the proposed method’s PSNR index improves the VQ algorithm’s ratio by 13.73%. Evaluations show that the proposed method’s PSNR index of compressed images is higher and better than PBM, CS-LBG, FA-LBG, BA-LBG, HBMO-LBG, QPSO-LBG, and PSO-LBG. The result shows that the proposed method (or ISCA-LBG) has less time complexity than HHO and WOA compression algorithms Daha fazlası Daha az

CEM UFUK BAYTAR

Makale | 2022 | Nova Science Publishers, Inc.

The department of human resources in companies plays an active role in the architecture of a strategic workforce in terms of creating and managing human capital. It is necessary to embody its strategies with appropriate raw data and accurate analyses. Human resources management gains the feature of being a strategic partner in company management by generating strategies based on consistent measurements related to the workforce. As a result of such an approach, it has an important place in creating competition in businesses and maintaining the existence of businesses. Innovations, which emerge with the transformation of data into inf . . .ormation, not only offer a competitive advantage to companies but also help them make better decisions. In parallel with the developments in technology, changes in the business environment force human resources management to be prepared for these changes and to transform itself with this change. In this study, the concept of analytics is discussed concerning human resources. In addition, by trying to explain the relationship between human resources and analytics concepts, the opportunities waiting for human resources are revealed. As a result, it is clear that digital transformation and developments in technology make the importance of human resources increase. © 2022 Nova Science Publishers, Inc. All rights reserved Daha fazlası Daha az