Scopus İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.12573/395

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Now showing 1 - 6 of 6
  • Conference Object
    Citation - WoS: 5
    Citation - Scopus: 6
    The Selection of Washing Machine Programs With Fuzzy Dematel and Moora-Ratio Multi-Criteria Decision-Making Methods Considering Environmental and Cost Criteria
    (Elsevier Science inc, 2024-01) Fidan, Fatma Sener; Aydogan, Emel Kizilkaya; Uzal, Nigmet
    The washing machine is the prevalent white household equipment in contemporary society. These machines provide consumers with a range of program options that encompass several variables, including temperature and detergent type. Nevertheless, the selection made by individual customers about the washing machine program they opt for carries substantial environmental consequences during the use stage of textile products. According to studies on the life cycle of clothes, it has been established that the use stage, following the extraction of raw materials, exerts the most substantial influence on environmental impacts. The objective of this research is to assess the washing machine programs provided by the manufacturer through the application of a comprehensive systematic approach for analysis. The evaluation of scenarios for washing machine programs was conducted using the MOORA-Ratio multi-criteria decision-making process. This evaluation considered various parameters, including environmental impact and cost. The life cycle assessment methodology was employed to quantify the environmental impact of the specified criteria. Based on the comprehensive study conducted by integrating criteria across numerous dimensions, it has been determined that the most favorable scenario wass scenario 1, which was developed for the Cotton 20 C program. The primary objective of this research endeavor is to fill a significant need in the current body of literature by undertaking a comprehensive review of washing machine programs that have not been previously recorded. This study employs a comprehensive methodology to investigate the environmental and economic implications linked to these activities, with the objective of delivering significant insights to producers and users.
  • Article
    Citation - WoS: 244
    Citation - Scopus: 325
    Productive Employment and Decent Work: The Impact of AI Adoption on Psychological Contracts, Job Engagement and Employee Trust
    (Elsevier Science inc, 2021-07) Braganza, Ashley; Chen, Weifeng; Canhoto, Ana; Sap, Serap
    This research examines the tension between the aims of the United Nations' Sustainable Development Goal 8 (SDG 8), to promote productive employment and decent work, and the adoption of Artificial Intelligence (AI). Our findings are based on the analysis of 232 survey results, where we tested the effects of AI adoption on workers' psychological contract, engagement and trust. We find that psychological contracts had a significant, positive effect on job engagement and on trust. Yet, with AI adoption, the positive effect of psychological contracts fell significantly. A further re-examination of the extant literature leads us to posit that AI adoption fosters the creation of a third type of psychological contract, which we term "Alienational". Whereas SDG 8 is premised on strengthening relational contracts between an organization and its employees, the adoption of AI has the opposite effect, detracting from the very nature of decent work.
  • Article
    Citation - WoS: 2
    Citation - Scopus: 2
    Integration of Direct Microfiltration and Reverse Osmosis Process for Resource Recovery From Municipal Wastewater
    (Elsevier Science inc, 2023-08) Ozcan, Ozlem; Sahinkaya, Erkan; Uzal, Nigmet
    For the sustainability of water resources, the recovery of water, organic matter (OM), energy, and nutrients from municipal wastewater become very attractive resources. As direct application of water, nutrient, and energy recovery from municipal wastewater cannot be feasible, the wastewater needed to be concentrated. In this study, the molecular weight distribution of OM content was determined in wastewater samples, up-concentration potential of direct microfiltration (DMF) of municipal wastewater and water recovery were investigated. In OM fractionation studies, around 52% of the chemical oxygen demand (COD) in wastewater was particulate or colloidal (>10 kDa) and 48% was soluble (<300 Da). In DMF tests, the COD concentration was concentrated up to 1,573 mg/L after sequential DMF experiments. Additionally, the theoretic total energy requirement of the DMF process was found around 0.3 kWh/m3 and it would be potentially energy positive. In crossflow experiments, the reverse osmosis (RO) process was performed using DMF effluent. When microfiltration and RO membranes were chemically cleaned, flux recovery rates of 100% and 99% were achieved, respectively. However, the foulants could not be completely removed during the cleaning according to scanning electron microscopy, atomic force microscopy, and attenuated total reflection-Fourier-transform infrared spectroscopy results of the virgin, fouled, and cleaned membranes. This study reveals that the DMF+RO process is a promising technology for the recovery of OM and water from municipal wastewater.
  • Article
    Citation - WoS: 40
    Citation - Scopus: 57
    How Do Firms Benefit From Customer Complaints
    (Elsevier Science inc, 2016-02) Yilmaz, Cengiz; Varnali, Kaan; Kasnakoglu, Berna Tari
    The study explores the effects of two sets of factors relating to complaint management on firm performance, namely, (1)customer response factors and (2) organizational learning factors, thereby integrating organizational learning into the conceptualization of complaint management Symmetric testing using hierarchical regression analysis of data obtained from complainants and firm managers revealed the joint effects of the two main paths on firm performance, independently from one another. Learning from complaints is shown to influence both short- and long-term firm-level performance measures positively. However, contrary to expectations, complainants' and managers' perceptions of fairness in the complaint handling processes of firms are found to (1) be nonrelated to short-term firm performances and (2) influence long-term performance expectancies negatively. Asymmetric analyses involving contrarian cases and further utilizing the fuzzy-set qualitative comparative analysis (fsQCA) disclosed distinct sets of antecedents that are sufficient for explaining short- and long-term firm performance. (C) 2015 Elsevier Inc. All rights reserved.
  • Article
    Citation - WoS: 10
    Citation - Scopus: 11
    An Update on Molecular Biology and Drug Resistance Mechanisms of Multiple Myeloma
    (Elsevier Science inc, 2015-12) Mutlu, Pelin; Kiraz, Yagmur; Gunduz, Ufuk; Baran, Yusuf
    Multiple myeloma (MM), a neoplasm of plasma cells, is the second most common hematological malignancy. Incidance rates increase after age 40. MM is most commonly seen in men and African-American population. There are several factors to this, such as obesity, environmental factors, family history, genetic factors and monoclonal gammopathies of undetermined significance (MGUS) that have been implicated as potentially etiologic. Development of MM involves a series of complex molecular events, including chromosomal abnormalities, oncogene activation and growth factor dysregulation. Chemotherapy is the most commonly used treatment strategy in MM. However, MM is a difficult disease to treat because of its marked resistance to chemotherapy. MM has been shown to be commonly multidrug resistance (MDR)-negative at diagnosis and associated with a high incidence of MDR expression at relapse. This review deals with the molecular aspects of MM, drug resistance mechanisms during treatment and also possible new applications for overcoming drug resistance. (C) 2015 Elsevier Ireland Ltd. All rights reserved.
  • Article
    Citation - WoS: 11
    Citation - Scopus: 12
    A Modified Multiple Shooting Algorithm for Parameter Estimation in ODEs Using Adjoint Sensitivity Analysis
    (Elsevier Science inc, 2021-02) Aydogmus, Ozgur; Tor, Ali Hakan
    To increase the predictive power of a model, one needs to estimate its unknown parameters. Almost all parameter estimation techniques in ordinary differential equation models suffer from either a small convergence region or enormous computational cost. The method of multiple shooting, on the other hand, takes its place in between these two extremes. The computational cost of the algorithm is mostly due to the calculation of directional derivatives of objective and constraint functions. Here we modify the multiple shooting algorithm to use the adjoint method in calculating these derivatives. In the literature, this method is known to be a more stable and computationally efficient way of computing gradients of scalar functions. A predator-prey system is used to show the performance of the method and supply all necessary information for a successful and efficient implementation. (C) 2020 Elsevier Inc. All rights reserved.