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Book Part Citation - Scopus: 1Measurement of Cognitive Functional Sizes of Software(IGI Global, 2012) Misra, S.One of the major issues in software engineering is the measurement. Since traditional measurement theory has problem in defining empirical observations on software entities in terms of their measured quantities, Morasca tried to solve this problem by proposing Weak Measurement theory. Further, in calculating complexity of software, the emphasis is mostly given to the computational complexity, algorithm complexity, functional complexity, which basically estimates the time, efforts, computability and efficiency. On the other hand, understandability and compressibility of the software which involves the human interaction are neglected in existing complexity measures. Recently, cognitive complexity (CC) to calculate the architectural and operational complexity of software was proposed to fill this gap. In this paper, we evaluated CC against the principle of weak measurement theory. We find that, the approach for measuring CC is more realistic and practical in comparison to existing approaches and satisfies most of the parameters required from measurement theory. © 2012 by IGI Global. All rights reserved.Book Part Citation - WoS: 3Citation - Scopus: 4Stem Cell Applications in Lysosomal Storage Disorders: Progress and Ongoing Challenges(Springer international Publishing Ag, 2021) Kose, S.; Aerts-Kaya, F.; Cetinkaya, D. Uckan; Korkusuz, P.; Uçkan Çetinkaya, DuyguLysosomal storage disorders (LSDs) are rare inborn errors of metabolism caused by defects in lysosomal function. These diseases are characterized by accumulation of completely or partially degraded substrates in the lysosomes leading to cellular dysfunction of the affected cells. Currently, enzyme replacement therapies (ERTs), treatments directed at substrate reduction (SRT), and hematopoietic stem cell (HSC) transplantation are the only treatment options for LSDs, and the effects of these treatments depend strongly on the type of LSD and the time of initiation of treatment. However, some of the LSDs still lack a durable and curative treatment. Therefore, a variety of novel treatments for LSD patients has been developed in the past few years. However, despite significant progress, the efficacy of some of these treatments remains limited because these therapies are often initiated after irreversible organ damage has occurred. Here, we provide an overview of the known effects of LSDs on stem cell function, as well as a synopsis of available stem cell-based cell and gene therapies that have been/are being developed for the treatment of LSDs. We discuss the advantages and disadvantages of use of hematopoietic stem cell (HSC), mesenchymal stem cell (MSC), and induced pluripotent stem cell (iPSC)-related (gene) therapies. An overview of current research data indicates that when stem cell and/or gene therapy applications are used in combination with existing therapies such as ERT, SRT, and chaperone therapies, promising results can be achieved, showing that these treatments may result in alleviation of existing symptoms and/or prevention of progression of the disease. All together, these studies offer some insight in LSD stem cell biology and provide a hopeful perspective for the use of stem cells. Further development and improvement of these stem cell (gene) combination therapies may greatly improve the current treatment options and outcomes of patients with a LSD.Book Part Citation - Scopus: 4Examining the Effects of Blogger Type (influencers Vs. Celebrities) and Post Format in Instagram Marketing(IGI Global, 2020) Özgen,P.; Mahmoudian,A.B.In the era where credibility of advertisements is decreasing and people are spending more time in social media compared to traditional channels, it is no surprise that marketing professionals employ social media as a new channel for communication. In this new media for communication, the conventional advertising techniques are also coupled with alternating methods such as product placements. In the light of these relatively new applications, the purpose of this study is to examine the effectiveness of marketing communications in social media under different message sources (celebrities vs. influencers) and with different message presentations. In order to serve that purpose, a 2X2 between subjects experiment is modelled with 399 respondents. The results show that a product is better advertised by an influencer rather than a celebrity and type of the blog post had no significant impact on the purchase intention. © 2021, IGI Global.Book Part Citation - Scopus: 12Water Flux and Reverse Salt Flux(Elsevier, 2018) Koseoglu,H.; Guler,E.; Harman,B.I.; Gonulsuz,E.Following the increase in the world population and the demand for economic development, the need for energy has increased day by day. Rapidly increasing global energy consumption is supplied mainly by fossil fuels bearing the risk of exhaustion with decreasing reserves, which now have the effect of carbon emissions and greenhouse gases. These concerns lead humanity to significantly reduce the use of fossil fuels. Salinity gradient energy (SGP), a type of hydroelectric energy, also has a high potential to displace fossil fuels. SGP is less periodic than sources like wind and solar energy. The osmotic pressure gradient energy uses the released energy during mixing of the water currents with different salinity The Gibbs free energy from mixing two solutions of different concentrations is an unnoticed source of energy. Salinity gradient energy, also referred to as osmotic energy or blue energy, can be derived from natural sources such as clean river water, salt water, and desalination of seawater. Various approaches have been developed to capture salinity gradient energy, but the most promising are pressure-retarded osmosis (PRO), reverse electrodialysis (RED) and forward osmosis (FO) processes. In this chapter theoretical approaches derived from the current literature is presented for the deep conceptual understanding of the water flux and reverse salt flux issues. © 2018 Elsevier B.V. All rights reserved.Book Part Citation - WoS: 1Citation - Scopus: 2A Fixed Point Result on the Interesting Abstract Space: Partial Metric Spaces(Springer international Publishing Ag, 2019) Karapinar, ErdalIn this chapter, we shall investigate the existence of fixed point of certain mappings via simulation functions in the framework of an interesting abstract space, namely, partial metric spaces. The main results of this manuscript not only extend, but also generalize, improve and unify several existing results on the literature of metric fixed point theory.Book Part Drawing a Portrait of Refugee Representation in Turkish Newspapers: A Framing Analysis of Hürriyet and Sabah(Bloomsbury Publishing Plc., 2020) Özoran, Beris Artan; Seyidov, IlgarBook Part Effectiveness of macroprudential policies: Panel data evidence on the role of institutions, financial structure, and banking regulations(Springer International Publishing, 2021) Ekinci,M.F.; Özcan,G.The effectiveness of macro-prudential policies to mitigate credit cycles and reduce capital flow volatility is at the center of policy debates. In this chapter, we investigate the factors which influence the performance of macro-prudential tools by focusing on institutions, financial structure, and banking sector regulations. We find strong evidence indicating that macro-prudential measures are more effective when they are complemented with a tighter regulatory framework. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2021. All rights reserved.Book Part Citation - Scopus: 2Novel Covid-19 Recognition Framework Based on Conic Functions Classifier(Springer Science and Business Media Deutschland GmbH, 2022) Karim,A.M.; Mishra,A.The new coronavirus has been declared as a global emergency. The first case was officially declared in Wuhan, China, during the end of 2019. Since then, the virus has spread to nearly every continent, and case numbers continue to rise. The scientists and engineers immediately responded to the virus and presented techniques, devices and treatment approaches to fight back and eliminate the virus. Machine learning is a popular scientific tool and is applied to several medical image recognition problems, involving tumour recognition, cancer detection, organ transplantation and COVID-19 diagnosis. It is proved that machine learning presents robust, fast and accurate results in various medical image recognition problems. Generally, machine learning-based frameworks consist of two stages: feature extraction and classification. In the feature extraction, overwhelmingly unsupervised learning techniques are applied to reduce the input data’s size. This step extracts appropriate features by reducing the computational time and increasing the performance of the classifiers. A classifier is the second step that aims to categorise the input. Within the proposed step, the unsupervised part relies on the feature extraction by using local binary patterns (LBP), followed by feature selection relying on factor analysis technique. The LBP is a kind of visual descriptor, mainly applied for image recognition problem. The aim of using LBP is to analyse the input COVID-19 image and extract salient features. Furthermore, factor analysis is a statistical technique applied to define variability among observed variables in less unnoticed variables named factors. The factor analysis applied to the LBP wavelet aims to select sensitive features from input data (LBP output) and reduce the size input. In the last stage, conic functions classifier is applied to classify two sets of data, categorising the extracted features by using LBP and factor analysis as positive or negative COVID-19 cases. The proposed solution aims to diagnose COVID-19 by using LBP and factor analysis, based on conic functions classifier. The conic functions classifier presents remarkable results compared with these popular classifiers and state-of-the-art studies presented in the literature. © 2022, Springer Nature Switzerland AG.Book Part Citation - Scopus: 1Understanding Digital Divide in English Language Classrooms: A Case Study on Its Causes, Effects, and Solutions(Springer Science and Business Media B.V., 2023) Yastıbaş,A.E.; Baturay,M.H.This chapter aims to help understand digital divide in English language classrooms by focusing on its causes, effects, and solutions. The present study was designed as a case study. Two Turkish EFL teachers participated in the study. The data were collected through a semi-structured interview and analyzed through content analysis. The findings of the present study have indicated that, according to the participants, there were two causes of digital divide in English language classrooms, digital divide could affect both EFL students and teachers generally negatively, and it could be handled with individual and social solutions. The findings of the present study were discussed. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.Book Part Social Media as a Tool for Gastronomy: An Analysis Through Instagram on Turkish Cuisine(IGI Global, 2022) Şahin, Gonca GuzelMany countries that have unique local gastronomy cultures develop and promote their regions for the purpose of economic effects for regional development instruments and to protect and sustain local culture and meet the demands of today’s tourists. For the purpose of security and providing the sustainability of local culture diversities in the world, national and international organizations register and put under protection the local gastronomy assets. This occurs in various proportions. In order to compete with regional tourism, a variety of tourist attractions should be developed. Turkish cuisine one of three top cuisines in the world. The aim of this chapter is to emphasize the importance of marketing strategy on social media for the traditional Turkish cuisine and Turkish cultural cuisine. © 2025 Elsevier B.V., All rights reserved.
