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Yayın FCC-HH: The hadron collider: future circular collider conceptual design report volume 3(Springer Heidelberg, 2019-07-01) Bayındır, Cihan; Abada, Asmaa; Abbrescia, Marcello; AbdusSalam, Shehu S.In response to the 2013 Update of the European Strategy for Particle Physics (EPPSU), the Future Circular Collider (FCC) study was launched as a world-wide international collaboration hosted by CERN. The FCC study covered an energy-frontier hadron collider (FCC-hh), a highest-luminosity high-energy lepton collider (FCC-ee), the corresponding 100km tunnel infrastructure, as well as the physics opportunities of these two colliders, and a high-energy LHC, based on FCC-hh technology. This document constitutes the third volume of the FCC Conceptual Design Report, devoted to the hadron collider FCC-hh. It summarizes the FCC-hh physics discovery opportunities, presents the FCC-hh accelerator design, performance reach, and staged operation plan, discusses the underlying technologies, the civil engineering and technical infrastructure, and also sketches a possible implementation. Combining ingredients from the Large Hadron Collider (LHC), the high-luminosity LHC upgrade and adding novel technologies and approaches, the FCC-hh design aims at significantly extending the energy frontier to 100TeV. Its unprecedented centre of-mass collision energy will make the FCC-hh a unique instrument to explore physics beyond the Standard Model, offering great direct sensitivity to new physics and discoveries.Yayın Pros and cons of using building information modeling in the AEC industry(ASCE-AMER Soc Civil Engineers, 2019-08-01) Seyis Kazazoğlu, SenemAlthough a plethora of studies on building information modeling (BIM) have been conducted in the last decade, none of the previous studies collate and/or prioritize the benefits, risks, and challenges of BIM based on the data collected from a comprehensive literature review and subject matter experts (SMEs). In order to allow architecture, engineering, and construction (AEC) professionals and academics see the true potential of BIM in a wider context and help them understand its multiorganizational and multidisciplinary functions, there is an obvious necessity for identifying, classifying, and prioritizing the pros and cons of BIM; however, such a study is still currently absent in the AEC literature. The aim of this study is to identify, classify, and rank the pros and cons of BIM that address the benefits, challenges, and risks of BIM in the transition from computer-aided design (CAD). A literature review was performed and face-to-face semistructured interviews with SMEs on BIM were conducted for identification and classification purposes. A total of 41 types of benefits, 11 types of risks, and 13 types of challenges of BIM were identified via triangulation of literature review and face-to-face semistructured interviews with SMEs. The Delphi method was performed for prioritizing the benefits of BIM in terms of time, cost, and sustainability as well as the risks and challenges of BIM encountered in the transition process from CAD to BIM. The interrater agreement and significance-level statistics were performed to analyze and validate the consensus reached by the Delphi panel experts. This paper contributes to the existing body of knowledge on BIM by providing comprehensive identification and classification of the benefits, challenges, and risks of BIM, and prioritization of the benefits for BIM in terms of time, cost, and sustainability as well as the risks and challenges of BIM. The priority rankings of benefits, risks, and challenges of BIM ensure successful completion of projects and create additional value by allowing professionals to make well-informed decisions that support decreasing time and cost-related waste in the transition process from CAD to BIM.Yayın The dynamic relationship between technological change and employment: a comparison of youth and total employment using panel VAR approach and causality analysis(Sosyoekonomi Derneği, 2022-10) Görkey, SeldaThis study empirically examines the relationship and causality between technological change and employment by comparing youth and total employment. It covers data from 16 OECD economies from 1985 to 2018 and uses multifactor productivity (MFP) as a proxy for technological change. The findings from the general method of moments panel vector autoregression (GMM Panel-VAR) approach indicate significant and positive effects of MFP on youth and total employment, and a significant yet negative impact of youth employment on MFP. According to Panel-VAR-Granger- Causality analysis results, there is a two-way causality between MFP and youth employment and a one-way causality from MFP to total employment. Thus, this study empirically confirms the jobcreation effect of technology and finds out that the technological change and employment nexus differs for youth employment compared to that for total employment.Yayın Comparative analysis of fragile fives with panel var models(Int Journal Contemporary Economics & Administrative Sciences, 2023-01) Demirel, Esin; Akgül, Şevket IşılThis study aims to show the similarities and differences between the fragile five classifications, which include countries that are quite different from each other, and to show whether there is a need for a different classification of fragile five, econometrically. In this context, the data set consists of old fragile five and new fragile five classifications. Seven independent variables that are thought to affect the gross domestic product of the countries have been determined. The data are annual for the period 2001-2018. Panel data analysis and Panel vector autoregression are used as a methodology in this paper, respectively. As a result of the analysis, the effects of the independent variables used in the analysis on the dependent differ in the countries included in fragile fives. Also, a change in one of the countries included in fragile fives will affect other countries. Therefore, it concluded that the variables in the models of fragile fives generally have different coefficients from each other. Based on this, it is understood that the revision of old fragile five does not conform to new fragile five, econometrically. It can be suggested as a policy implication that a different classification of fragile five is necessary.Yayın Did you read the news before playing the advergame? The effects of priming, persuasion knowledge and placement strength on brand attitude and recall in advergames(Inderscience Publishers, 2020-06-01) Sağkaya Güngör, AyşegülWith the advergames, marketers reach their goal of conveying their message to their target audience in an entertaining way. The study aims to find out, first, how the priming effects responses of the advergame players toward the brand. Additionally, persuasion knowledge and placement strength were investigated, along with priming. A 2 × 2 × 2 between-subjects laboratory experiment was conducted with 204 participants. Results show that priming has significant effects on brand attitude and recall. The effects were partially persistent after the introduction of persuasion knowledge. When the placement strength was introduced, it was observed significant differences on brand attitude and recall.Yayın The emergence of projected scaled patterns of extreme temperatures over Europe(Frontiers Media SA, 2023-06-28) Öztürk, Tuğba; Canbaz, Emine; Bilgin, Başak; Matte, Dominic; Kurnaz, Mehmet Levent; Christensen, Jens HesselbjergThis work investigates the scalability of extreme temperatures over the European domain with global warming levels. We have used the EURO-CORDEX ensemble of regional model simulations at 0.11° resolution for daily minimum and maximum temperatures to analyze future changes in extreme weather daily events. Scaling with the annual mean global warming modeled by the driving GCM was applied to future extreme temperature indices changes. Regional changes in each index were scaled by corresponding global warming levels obtained from GCMs. This approach asserts that regional patterns of climate change and average global temperature change are linearly related. It can provide information regarding climate change for periods or emission scenarios when no simulations exist. According to the results, the annual minimum of the lowest temperature of the day (TNn) increases more than the annual maximum of the highest temperature of the day (TXx) for Europe. The multi-model mean of the changes in scaled patterns of extreme temperatures emerges early, around 2020, even before it becomes robust. Individual scaled patterns of TNn and TXx emerge from around 2040.Yayın Turkey’s struggle with the PKK and civilian control over the Turkish Armed Forces(Routledge Journals, Taylor & Francis Ltd, 2016-05-03) Kayhan Pusane, ÖzlemAlthough most scholars of Turkey’s civil-military relations argue that the Kurdistan Workers’ Party (PKK) insurgency has led to a decrease in civilian control over the Turkish military from the 1980s onwards, this has not always been the case. This article argues that the presence or the degree of the PKK threat is not sufficient to explain the civil-military balance of power in Turkey throughout the 1980s and the 1990s. Instead, the article shows that in the face of the PKK threat, three major factors have influenced the behaviours of both civilian and military policy-makers in Turkey and shaped the level of civilian control. These factors are first, the Turkish political leaders’ control over their political parties and these parties’ control of a majority of seats in the parliament; second, how negatively or positively the military perceives the political leadership; and third, European Union pressures for democratisation.Yayın Towards enhancing happiness at work with the lenses of positive organizational behavior: The roles of psychological capital, social capital and organizational trust(Lumen Publishing House, 2020-06) Taştan, Seçil; Küçük, Burcu Aydın; İşiaçık, SerinIn this study, based on the approach of humanization of the postmodern organizations and depending on the conceptual background, it was suggested that psychological capital and social capital could be the significant antecedents of employee happiness at workplace. Further, it was proposed that organizational trust has a moderating role on the impact of psychological capital on happiness at workplace. Thereby, a cross-sectional research study has been performed in Turkey with the participation of 222 employees from a variety of sectors including sales, marketing, health, banking, finance and education. According to the findings, it was reported that the psychological capital construct (beta=,778; t=18,370, p<,05) and social capital (beta=,746; t=16,621, p<,05) had significant positive impacts on employees' happiness at workplace. These findings supported the proposed hypothesis 1 and hypothesis 2. In addition, it was demonstrated that organizational trust has significant positive impact on happiness at workplace (beta=,544, t=9,590, p<,05). However, the results indicated that organizational trust has no significant moderating role (p>0,05), thus hypothesis 3 was not confirmed. Further research direction and the need for research on organizational trust's moderating role are discussed. The conceptual and practical implications of the study are provided along with the concluding remarks and discussions.Yayın HE-LHC: The high-energy large hadron collider future circular collider conceptual design report volume 4(Springer Verlag, 2019-07-01) Abada, Asmaa; Abbrescia, Marcello; AbdusSalam, Shehu S.; Bayındır, CihanIn response to the 2013 Update of the European Strategy for Particle Physics (EPPSU), the Future Circular Collider (FCC) study was launched as a world-wide international collaboration hosted by CERN. The FCC study covered an energy-frontier hadron collider (FCC-hh), a highest-luminosity high-energy lepton collider (FCC-ee), the corresponding 100 km tunnel infrastructure, as well as the physics opportunities of these two colliders, and a high-energy LHC, based on FCC-hh technology. This document constitutes the third volume of the FCC Conceptual Design Report, devoted to the hadron collider FCC-hh. It summarizes the FCC-hh physics discovery opportunities, presents the FCC-hh accelerator design, performance reach, and staged operation plan, discusses the underlying technologies, the civil engineering and technical infrastructure, and also sketches a possible implementation. Combining ingredients from the Large Hadron Collider (LHC), the high-luminosity LHC upgrade and adding novel technologies and approaches, the FCC-hh design aims at significantly extending the energy frontier to 100 TeV. Its unprecedented centre-of-mass collision energy will make the FCC-hh a unique instrument to explore physics beyond the Standard Model, offering great direct sensitivity to new physics and discoveries.Yayın Intelligent health monitoring in 6G networks: machine learning-enhanced VLC-based medical body sensor networks(Multidisciplinary Digital Publishing Institute (MDPI), 2025-05-23) Antaki, Bilal; Dalloul, Ahmed Hany; Miramirkhani, FarshadRecent advances in Artificial Intelligence (AI)-driven wireless communication are driving the adoption of Sixth Generation (6G) technologies in crucial environments such as hospitals. Visible Light Communication (VLC) leverages existing lighting infrastructure to deliver high data rates while mitigating electromagnetic interference (EMI); however, patient movement induces fluctuating signal strength and dynamic channel conditions. In this paper, we present a novel integration of site-specific ray tracing and machine learning (ML) for VLC-enabled Medical Body Sensor Networks (MBSNs) channel modeling in distinct hospital settings. First, we introduce a Q-learning-based adaptive modulation scheme that meets target symbol error rates (SERs) in real time without prior environmental information. Second, we develop a Long Short-Term Memory (LSTM)-based estimator for path loss and Root Mean Square (RMS) delay spread under dynamic hospital conditions. To our knowledge, this is the first study combining ray-traced channel impulse response modeling (CIR) with ML techniques in hospital scenarios. The simulation results demonstrate that the Q-learning method consistently achieves SERs with a spectral efficiency (SE) lower than optimal near the threshold. Furthermore, LSTM estimation shows that D1 has the highest Root Mean Square Error (RMSE) for path loss (1.6797 dB) and RMS delay spread (1.0567 ns) in the Intensive Care Unit (ICU) ward, whereas D3 exhibits the highest RMSE for path loss (1.0652 dB) and RMS delay spread (0.7657 ns) in the Family-Type Patient Rooms (FTPRs) scenario, demonstrating high estimation accuracy under realistic conditions.
