Sürdürülebilir Kalkınma Amaçları

Yazarlar

  • Kitap BölümüYalnız künye2022
    ALEVISM AS A 'MAJORITY': ALEVI AND SUNNI COMMUNITIES IN DERSIM

    Gültekin, Ahmet Kerim; Ozkul, D; Markussen, H

    AtıfWoS1
    Web of Scienceİncele
  • Kitap BölümüYalnız künye2022
    A Fanonian Reading of The Black Album by Hanif Kureishi

    Hamarat, Abdulkadir; Baykara, T; Kacmaz, E

  • Kitap BölümüYalnız künye2022
    A theoretical investigation on intra-firm knowledge sharing: The roles of contextual, relational, and socio-cognitive factors

    Uyan, Umut; Şanal, Musa; Ibin, Adil

    Considering that knowledge management is a multifaceted process, studies that examine a limited number of factors individually may not explain the process sufficiently. This chapter set out to advance our knowledge on intra-organizational knowledge sharing (KS) by addressing multiple factors (relational, organizational, and socio-cognitive factors) holistically. This would also lead to an explicit discussion of various organizational theories towards intra-firm KS. The study, which is designed as a conceptual one, compiles and synthesizes previous studies. Unlike previous research, the current one is encouraging as it develops a holistic perspective towards intra-organizational KS.

    AtıfScopus3OpenAlex2
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  • Kitap BölümüAçık Erişim2022
    Fungal Exopolymeric Substances and Their Applications

    Topal, Murat; Arslan Topal, E. Işıl

    Exopolymeric substances that are also known as extracellular polymeric substances, extracellular polysaccharides, exopolymers, and exopolysaccharides are produced by various microorganisms. They primarily include polysaccharides, lipids, nucleic acids, and proteins. Exopolymeric substances protect microorganisms from various environmental stresses. Exopolymeric substances have unique characteristics. Some of the functional properties of them include adhesion, aggregation, binding activity, energy and nutrient source, water retention, and sorption. One of the exopolymeric substances is fungal exopolymeric substances. The fungal exopolysaccharides are pullulan, scleroglucan, fungal β-glucans, botryosphaeran, and others. The fungal exopolymeric substances are valuable products because of their different application areas such as industries of medical, cosmetic, food, wastewater treatment and agriculture.

  • Kitap BölümüYalnız künye2022
    Evaluation of teachers' digital competencies in the digitalization process in educational organizations

    Gündüzalp, Seda; Yaraş, Zübeyde

    The education process has started to go beyond the traditional patterns with topics such as new teaching environment designs blended with technology, digital native learners, and the prominent competencies of the 21st century. At the center of these concepts, which have begun to transform education, teachers are in an important position that ensures the continuation of education system. In education systems changed by technology, it is known that teachers' digital competencies will affect the success of learners. Teachers who can be digitally competent will be more active in managing the process more effectively in the education of digital native generations. As the difficulties faced by teachers who are not digitally competent in the changing teaching process with the effect of technology will bring new problems for the education process, it is important to determine the digital competence levels of the teachers and to create action plans and policies. In this chapter, it is emphasized what the digital competencies of teachers are and why teachers should have digital competencies. The education process has started to go beyond the traditional patterns with topics such as new.

    • SDG 4 · Nitelikli Eğitim
    AtıfScopus1OpenAlex2
    Scopusİncele
  • Kitap BölümüYalnız künye2022
    A Multi-attribute Decision-Making to Sustainable Construction Material Selection: A Bayesian BWM-SAW Hybrid Model

    Alkan, Ramazan; Yucesan, Melih; Gul, Muhammet; Rezaei, J; Brunelli, M; Mohammadi, M

    The increase in urbanization and developments in the production industry has led to rapid progress in the construction sector. Many new strategies are developed in the industry to reduce costs and improve building quality. In recent years, the necessity of sustainable construction practices comes to the fore to renew the building stock damaged as a result of natural disasters and reduce the cost concerns that arise in this situation to a reasonable level. Due to limited resources and environmental concerns, researchers and practitioners have begun to develop sustainable building materials. The problem of selecting these materials when constructing a new building is vital. In particular, depending on the sector's rapid growth in Turkey, it is becoming more and more important to select the best sustainable construction material. Therefore, this paper proposes a model to evaluate the most appropriate sustainable construction material via two multi-attribute decision-making (MADM) methods called “Bayesian Best-Worst Method (BWM) and Simple Additive Weighting (SAW)”. Initially, the criteria derived from existing literature were evaluated with the aid of construction sector-based respondents and extra information about the interrelationship between the criteria were determined by credal ranking in Bayesian BWM. Then, via SAW, the most appropriate material was selected among a set of alternatives. Two cases regarding sustainable insulating material selection are considered for the demonstration of the proposed MADM model.

    • SDG 11 · Sürdürülebilir Şehirler ve Topluluklar
    • SDG 12 · Sorumlu Üretim ve Tüketim
    AtıfScopus15WoS14OpenAlex13
    ScopusWeb of Scienceİncele
  • Kitap BölümüYalnız künye2022
    Metastasis inhibitory role of blueberries: time to play gooseberry with oncogenic cascades and metastasis

    Farooqi, Ammad Ahmad; Ozbey, Ulku; Pimentel, Tatiana Colombo; Attar, Rukset

    The magical little fruits have started to gain attention because of their cancer chemopreventive roles against different cancers. More recently, cancer inhibitory properties of blueberry extracts and isolated bioactive constituents have been described that provide new mechanistic insights. However, there are visible knowledge gaps in our understanding about metastasis inhibitory role of blueberries in xenografted mice. Despite mainstream popularization of cancer chemopreventive role of blueberries, many questions remain about their precise role in the regulation of deregulated oncogenic cascades in metastasis. It will be really exciting to consider how new scientific breakthroughs in future might propel the science of nutrigenomics to a more sophisticated level of inquiry.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
    AtıfScopus2OpenAlex1
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  • Kitap BölümüYalnız künye2022
    Geo-polymer concretes: Structure, properties and materials

    Polat, Berivan Yilmazer

    In recent years, different types of special concretes have been produced and used according to the usage principles of the buildings. One of these concretes is alkali active concretes produced without the need for cement production which is known as geopolymer concrete. Their high early strength, less drying-shrinkage, high fire, abrasion & acid resistance, less CO2 emissions, least setting time, and high freeze-thaw & corrosion resistance are reasons this type of concrete has emerged as an alternative to portland cement concrete. This concrete is formed by the reaction of material rich in alumina and silica with the activator. Since geopolymer concrete is more environmentally friendly than cementitious concrete, it has been the subject of many studies. Geopolymer concretes have some disadvantages despite all these advantages. One of them is brittleness. It is known that adding fibers to geopolymer concretes positively affects brittleness and ductility, compressive strength, and flexural strength. Also, mineral additives strengthen the durability of concrete. This work presents a summary of the literature on geopolymer concrete's foundations and disadvantages compared to portland cement concrete, mix proportions that give the best strength, management of fiber additives, performance analysis against burst rate, and resistance to attack.

  • Kitap BölümüYalnız künye2022
    X-Ray Computed Tomography and Magnetic Resonance Imaging Applications of Magnetic Nanoalloys and Nanocomposites

    Aslan, Naim; Koç, Mümin Mehmet

    Metallic nanoparticles were used in different medical and biological applications. Such applications can cover targeted drug delivery, biomarking, MRI imaging, CT imaging, magnetic hyperthermia, etc. Metallic nanoparticles show outstanding properties with high electron affinity and good electrical, electronic, and optoelectronic properties with possible magnetic characteristics. In this regard, magnetic nanoparticles and magnetic nanoalloys are found to be a suitable candidate to be used in imaging applications. In this chapter, concepts of X-ray computed tomography imaging and magnetic resonance imaging are briefly discussed. Magnetic nanoparticles, nanoalloys, and nanocomposites used in imaging, diagnostics, and theranostic applications were illustrated.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
    AtıfScopus2OpenAlex1
    Scopusİncele
  • Kitap BölümüYalnız künye2021
    Fine–kinney-based occupational risk assessment using interval-valued pythagorean fuzzy vikor

    Gul, Muhammet; Mete, Suleyman; Serin, Faruk; Celik, Erkan

    This chapter aims at the adaptation of the Fine–Kinney occupational risk assessment concept into the VIKOR multi-attribute decision-making method with an interval-valued Pythagorean fuzzy set. The classical fuzzy set theory has been improved by proposing a number of extended versions. One of them is the Pythagorean fuzzy set. It has been firstly developed by Yager (IEEE Transactions on Fuzzy Systems 22:958–965, [1]). In this chapter, we use this type of fuzzy set with VIKOR since it reflects uncertainty in occupational risk assessment and decision-making better than other fuzzy extensions. To demonstrate the proposed approach applicability, a case study regarding the activities of the surface treatment area in a chrome plating unit of a gun factory is performed. Some additional analysis to test the solidity and validity of the approach is executed. Finally, the Python codes in the implementation of the proposed approach are given for scholars and practitioners for usage in further studies.

    AtıfScopus14OpenAlex5
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  • Kitap BölümüYalnız künye2021
    Challenges, novel applications, and future prospects of chalcogenides and chalcogenide-based nanomaterials for photocatalysis

    Ates, Mehmet; Tanaydın, Mehmet Kayra; Yılmaz, Ersen

    Nanomaterials are composed of several atoms or molecules, which may be of various sizes and morphologies. Manmade nanomaterials are specially produced to take advantage of the unique properties of nanoscale. There are many metal chalcogenides with different structures and compositions such as CdSe, InAs, CdS, GaN, InGeAs, CdTe, PbS, PbSe, ZnS, Na2S, CaTe, Ti2S, and Cu2Se. The diversity of metal chalcogenides is related to the orbit of transition metals. In this chapter, new studies using chalcogenide compounds as photocatalysts were explained under the subtopics of metal chalcogenides and their properties, semiconductive nanostructures, nanomaterial production technique, chemical synthesis methods, and metal chalcogenides as photocatalysts. Novel applications of metal chalcogenide-based materials like water splitters, organic pollutant degraders, self-cleaning agents chalcogenide glasses and thermoelectric materials are explained in detail under the relevant headings. Future prospects of chalcogenides are also evaluated from a different perspective.

    AtıfScopus30OpenAlex26
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  • Kitap BölümüYalnız künye2021
    Fine–kinney-based occupational risk assessment using interval type-2 fuzzy vikor

    Gul, Muhammet; Mete, Suleyman; Serin, Faruk; Celik, Erkan

    In this chapter, we improved Fine–Kinney occupational risk assessment approach with interval type-2 fuzzy VIKOR (IT2FVIKOR). VIKOR is a compromise multi-attribute decision-making method proposed by Opricovic (1998). Similar to other compromised solution-based approaches, it considers the solution which is closest to the ideal. In this chapter, we adapted the interval type-2 fuzzy sets (IT2FSs) into VIKOR as it reflects the uncertainty well in decision-making. IT2FVIKOR algorithm under the Fine–Kinney concept provides a useful and solid approach to the occupational health and safety risk assessment. In addition to proposing this new approach, a case study is performed in a gun and rifle barrel external surface oxidation and coloring unit of a gun factory. A validation and a sensitivity analysis is also attached to this study. Finally, the proposed approach is implemented in Python.

    AtıfScopus4OpenAlex5
    Scopusİncele
  • Kitap BölümüYalnız künye2021
    Fine–kinney-based occupational risk assessment using fuzzy best and worst method (f-bwm) and fuzzy mairca

    Gul, Muhammet; Mete, Suleyman; Serin, Faruk; Celik, Erkan

    The best-worst method (BWM) proposed by Rezaei (Omega 53:49–57, [1]) is an MCDM method used to achieve the weights of the criteria by making fewer pairwise comparisons and using more consistent decision matrices. In this chapter, instead of crisp numbers, triangular fuzzy numbers that reflect the uncertainty well in real-world problems are used in integration with the BWM method (Guo and Zhao in Knowl Based Syst 121:23–31, [2]) in determining factor weights. Using the fuzzy best and worst method (F-BWM), a model based on Fine–Kinney occupational health and safety risk assessment method was developed for the first time in the literature. Three parameters of Fine–Kinney method are weighted by the mathematical models of F-BWM. Then, the risks are prioritized by fuzzy multi-attribute ideal real comparative analysis (F-MAIRCA). A case study was conducted to demonstrate the feasibility of the approach, and besides this case study, a comparative study was also conducted to test the validity of the proposed approach. This approach led to the conclusion that Fine–Kinney’s method, BWM, MAIRCA, and triangular fuzzy sets make the risk decision-making process more dynamic, taking into account the benefits of these methods individually or in integration.

    AtıfScopus11OpenAlex12
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  • Kitap BölümüYalnız künye2021
    Economic and social impacts of COVID-19 on European tourism

    Kazar, Gorkemli; Kazar, Altug; Akpinar, Tuba

    European tourism has been largely disrupted by the pandemic throughout 2020. In this study, the economic and social effects of COVID-19 on the tourism sector of European countries were examined. To understand the extent of the pandemic on European tourism, policies followed by countries, physical tourism flows of the accommodation sector, tourism employment, and turnover rates were considered. The study showed that the European tourism sector, especially after the second half of 2020, was hit socially and economically by the devastating effects of the pandemic. In addition, the study revealed the necessity for radical regulations within the sector in the post-pandemic period.

    • SDG 8 · İnsana Yakışır İş ve Ekonomik Büyüme
  • Kitap BölümüYalnız künye2021
    Fine–kinney-based occupational risk assessment using hexagonal fuzzy multimoora

    Gul, Muhammet; Mete, Suleyman; Serin, Faruk; Celik, Erkan

    Hexagonal fuzzy numbers (HFNs) can be used as a proficient logic to simplify understanding of ambiguity information. HFNs present the usual information in a comprehensive way and also the ambiguity section can be exemplified in a reasonable way. In this chapter, we proposed an improved Fine–Kinney occupational risk assessment approach using a well-known MCDM method Multi-Objective Optimization by Ratio Analysis (MULTIMOORA) using hexagonal fuzzy numbers. Since the mere MULTIMOORA has failed to handle uncertainty and vague information which usually exist in real world problems, we follow integration of HFNs and MULTIMOORA (HFMULTIMOORA). To show the applicability of the novel approach, a case study of risk assessment of a raw mill in cement plant was provided. Comparative analysis with using two aggregation tools as reciprocal rank method and dominance theory are carried out. Finally, the Python implementation of the proposed approach is implemented to be effective for those concerned in the future.

    AtıfScopus7OpenAlex5
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  • Kitap BölümüYalnız künye2021
    “An International Crossroads of Female Pain”1 Intersectional Feminism: Jackie Kay’s Chiaroscuro

    Doğan, Pelin

  • Kitap BölümüYalnız künye2021
    Fine–kinney-based occupational risk assessment using intuitionistic fuzzy todim

    Gul, Muhammet; Mete, Suleyman; Serin, Faruk; Celik, Erkan

    This chapter applies a novel occupational risk assessment approach which merges TODIM with the Fine–Kinney method under the intuitionistic fuzzy set concept. Risk parameters of Fine–Kinney and OHS experts are weighted by an intuitionistic fuzzy weighted averaging (IFWA) aggregation operator. Hence, hazards are quantitatively evaluated and prioritized using the proposed approach. To illustrate the novel risk assessment approach, processes of the gun and rifle assembly line of a factory are handled. A comprehensive risk assessment is carried out to improve operational safety and reliability in the industry. We adapt intuitionistic fuzzy sets in the existing study since they reflect uncertainty with the aid of their membership and nonmembership functions in decision-making better than classical fuzzy extensions. An additional sensitivity analysis by changing the attenuation parameter of TODIM is performed to test the validity of the approach. Finally, the Python codes in the implementation of the proposed approach are given for scholars and practitioners for usage in further studies.

    AtıfScopus5OpenAlex9
    Scopusİncele
  • Kitap BölümüYalnız künye2021
    Fine–kinney-based occupational risk assessment using single-valued neutrosophic topsis

    Gul, Muhammet; Mete, Suleyman; Serin, Faruk; Celik, Erkan

    Neutrosophic sets are initially recommended by Smarandache (First international conference on neutrosophy, neutrosophic logic, set, probability, and statistics. University of New Mexico, Gallup, NM, pp 338–353, 2002 [1]). These sets reflect uncertainty and vagueness in real-world problems better than classical fuzzy set theory. It takes into consideration three decision-making situations called indeterminacy, truthiness, and falsity. In Zadeh traditional fuzzy set theory, there is just membership function fuzzy set degree. But, in neutrosophic environment, it considers three membership functions. Unlike intuitionistic fuzzy sets, an indeterminacy degree is considered. In this chapter, we applied a special form of neutrosophic set as single-valued neutrosophic set (SVNs) with the technique for order preference by similarity to ideal solution (TOPSIS) under the concept of Fine–Kinney occupational risk assessment. Since the mere TOPSIS has failed to handle imprecise and vague information which usually exist in real-world problems, we follow the integration of SVNs and TOPSIS. To demonstrate the applicability of the novel approach, a case study of risk assessment of a wind turbine in times of operation was provided. Comparative analysis with some similar approaches and sensitivity analysis by changing the weights of Fine–Kinney parameters are carried out. Finally, the Python implementation of the proposed approach is executed to be useful for those concerned in the future.

    AtıfScopus12OpenAlex9
    Scopusİncele
  • Kitap BölümüYalnız künye2021
    A Risk Prioritization Method Based on Interval-Valued Pythagorean Fuzzy TOPSIS and Its Application for Prioritization of the Risks Emerged at Hospitals During the Covid-19 Pandemic

    Gul, Muhammet; Yucesan, Melih

    • SDG 3 · Sağlık ve Kaliteli Yaşam
    AtıfScopus2
    Scopusİncele
  • Kitap BölümüYalnız künye2021
    Fine–kinney occupational risk assessment method and its extensions by fuzzy sets: A state-of-the-art review

    Gul, Muhammet; Mete, Suleyman; Serin, Faruk; Celik, Erkan

    The Fine–Kinney method (Fine in J Saf Res 3:157–166, 1971; Kinney and Wiruth in Practical risk analysis for safety management. Naval Weapons Center, pp 1–20, 1976), which was first introduced as an occupational health and safety risk analysis tool in the 1970s, is a systematic methodology that provides a mathematical formula for calculating the risk that arises due to a specified hazard. In the traditional version of Fine–Kinney as suggested in its original version, a risk score (RS) is calculated as a result of mathematical multiplication of probability (P), exposure (E), and consequence (C) parameters. These calculated risk scores are used to establish priorities for the corrective efforts in order to eliminate risks or reduce their effects to a reasonable level. This simple and useful method is preferred and implemented by small and medium-sized enterprises. In the academic literature, it has been applied for many risk analysis problems, although it includes several drawbacks recently revealed. In this method, no weight assignment is made for each risk parameter. Also, it is hard to assess consequence, exposure, and probability, precisely. Multi-criteria decision making (MCDM) is a pool of methods used in occupational health and safety risk analysis both by international standard-setting organizations and scholars from the literature. In classical MCDM methods, performance values and weights of decision criteria are known precisely and are specified with crisp numbers. However, many real-world problems contain uncertainties, and the knowledge and judgment of experts cannot be expressed precisely. Fuzzy-based MCDM methods, which are developed to reflect types and degrees of uncertainties better, produce more accurate results compared to classical methods. In this chapter, we first present the basics of Fine–Kinney method, including its implementing procedure, basic terminology, and drawbacks. Then, we provide a state-of-the-art review of Fine–Kinney occupational risk assessment method and its extensions by fuzzy sets. Graphical results obtained from the review are demonstrated to show the current state. Future work suggestions are also included to the chapter to show the possible gaps and possible opportunities.

    AtıfScopus12OpenAlex12
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