5916 research outputs found
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Populist radical right beyond Europe: The case of Islamic nativism in Turkey
No full textTurkey’s Justice and Development Party (AKP) is one of the longest ruling among contemporary populist radical right parties (PRR). For nearly two decades, the AKP has shown tremendous success in achieving electoral dominance and political control. This article argues that AKP’s success lies in its ability to reconfigure the issue salience in Turkish politics by bringing the secular-conservative cleavage into the center of political competition. However, as this article shows, while the government’s framing of conservative/religious values was initially populist, as the Party consolidated its power, populism became secondary to nativism. This nativist turn is characterized by an emphasis on the foreignness of “the elites” and is shaped by secularization of the public sphere and antiwesternism. Overall, AKP has not presented a fundamental opposition to the “establishment” but brought together many components of Turkey’s institutional and cultural structure and radicalized patterns already present in earlier eras
A critical analysis of the neoliberal state-building in Bosnia and Herzegovina: The gap between aims and achievements
No full textDespite the long years of the political, economic, and military presence of the international community, with its remarkable amount of aid, Bosnia and Herzegovina (BiH) still suffers from political instability, a lack of economic growth, and high rates of unemployment. The Dayton Peace Accords (DPA), which were signed in 1995 to end the violent war that involved ethnic cleansing and caused unforgettable humanitarian and economic loss, set up highly decentralized state institutions within a divided society. The DPA’s vision was based on the neoliberal agenda and strongly emphasized the belief that ethnic harmony and sustainable peace would be achieved only through a reconstruction program involving neoliberal policies. Against the backdrop of this vision, the absence of intergroup cohesion among distinct ethnic collective identities remains a puzzle in the neoliberal state-building agenda of the international community. By highlighting the limitations of state-building as applied to its implementation in BiH, this research aims to plausibly specify the root causes of why state-building initiatives remain ill-equipped to create a higher-level shared collective identity in BiH. To this end, it will critically discuss the (in)effectiveness of the Dayton recipe for BiH for building a functional and sovereign state along with the aforementioned higher-level shared collective identity
Measurement of inclusive and differential cross sections for single top quark production in association with a W boson in proton-proton collisions at √s = 13 TeV
No full textMeasurements of the inclusive and normalised differential cross sections are presented for the production of single top quarks in association with a W boson in proton-proton collisions at a centre-of-mass energy of 13TeV. The data used were recorded with the CMS detector at the LHC during 2016-2018, and correspond to an integrated luminosity of 138 fb(-1). Events containing one electron and one muon in the final state are analysed. For the inclusive measurement, a multivariate discriminant, exploiting the kinematic properties of the events is used to separate the signal from the dominant t (t) over bar background. A cross section of 79.2 +/- 0.9 (stat)(-8.0)(+7.7) (syst) +/- 1.2 (lumi) pb is obtained, consistent with the predictions of the standard model. For the differential measurements, a fiducial region is defined according to the detector acceptance, and the requirement of exactly one jet coming from the fragmentation of a bottom quark. The resulting distributions are unfolded to particle level and agree with the predictions at next-to-leading order in perturbative quantum chromodynamics.BMBWF and FWF (Austria); FNRS and FWO (Belgium); CNPq, CAPES, FAPERJ, FAPERGS, and FAPESP (Brazil); MES and BNSF (Bulgaria); CERN; CAS, MoST, and NSFC (China); MINCIENCIAS (Colombia); MSES and CSF (Croatia); RIF (Cyprus); SENESCYT (Ecuador); MoER, ERC PUT and ERDF (Estonia); Academy of Finland, MEC, and HIP (Finland); CEA and CNRS/IN2P3 (France); BMBF, DFG, and HGF (Germany); GSRI (Greece); NKFIH (Hungary); DAE and DST (India); IPM (Iran); SFI (Ireland); INFN (Italy); MSIP and NRF (Republic of Korea); MES (Latvia); LAS (Lithuania); MOE and UM (Malaysia); BUAP, CINVESTAV, CONACYT, LNS, SEP, and UASLP-FAI (Mexico); MOS (Montenegro); MBIE (New Zealand); PAEC (Pakistan); MES and NSC (Poland); FCT (Portugal);MESTD (Serbia); MCIN/AEI and PCTI (Spain); MOSTR (Sri Lanka); Swiss Funding Agencies (Switzerland); MST (Taipei); MHESI and NSTDA (Thailand); TUBITAK and TENMAK (Turkey); NASU (Ukraine); STFC (United Kingdom); DOE and NSF (USA).
Individuals have received support from the Marie-Curie programme and the European Research Council and Horizon 2020 Grant, contract Nos. 675440, 724704, 752730, 758316, 765710, 824093, 884104, and COST Action CA16108 (European Union); the Leventis Foundation; the Alfred P. Sloan Foundation; the Alexander von Humboldt Foundation; the Belgian Federal Science Policy Office; the Fonds pour la Formation a la Recherche dans l'Industrie et dans l'Agriculture (FRIA-Belgium); the Agentschap voor Innovatie door Wetenschap en Technologie (IWT-Belgium); the F.R.S.-FNRS and FWO (Belgium) under the "Excellence of Science - EOS" -be.h project n. 30820817; the Beijing Municipal Science & Technology Commission, No. Z191100007219010; the Ministry of Education, Youth and Sports (MEYS) of the Czech Republic; the Hellenic Foundation for Research and Innovation (HFRI), Project Number 2288 (Greece); the Deutsche Forschungsgemeinschaft (DFG), under Germany's Excellence Strategy -EXC 2121 "Quantum Universe" -390833306, and under project number 400140256 - GRK2497; the Hungarian Academy of Sciences, the New National Excellence Program - UNKP, the NKFIH research grants K 124845, K 124850, K 128713, K 128786, K 129058, K 131991, K 133046, K 138136, K 143460, K 143477, 2020-2.2.1-ED-2021-00181, and TKP2021-NKTA-64 (Hungary); the Council of Science and Industrial Research, India; the Latvian Council of Science; the Ministry of Education and Science, project no. 2022/WK/14, and the National Science Center, contracts Opus 2021/41/B/ST2/01369 and 2021/43/B/ST2/01552 (Poland); the Fundacao para a Ciencia e a Tecnologia, grant CEECIND/01334/2018 (Portugal); the National Priorities Research Program by Qatar National Research Fund; MCIN/AEI/10.13039/501100011033, ERDF "a way of making Europe", and the Programa Estatal de Fomento de la Investigacion Cientifica y Tecnica de Excelencia Maria de Maeztu, grant MDM-2017-0765 and Programa Severo Ochoa del Principado de Asturias (Spain); the Chulalongkorn Academic into Its 2nd Century Project Advancement Project, and the National Science, Research and Innovation Fund via the Program Management Unit for Human Resources & Institutional Development, Research and Innovation, grant B05F650021 (Thailand); the Kavli Foundation; the Nvidia Corporation; the SuperMicro Corporation; the Welch Foundation, contract C-1845; and the Weston Havens Foundation (USA).Publisher versio
ESG investing and the financial performance: a panel data analysis of developed REIT markets
No full textThis study investigates the empirical link between the social and financial performance of the Real Estate Investment Trusts (REITs) by utilizing the PVAR-Granger causality model and a fixed-effects panel data model with a rich dataset comprising 234 ESG-rated REITs across five developed economies from 2003 to 2019. The results suggest that investors pay attention to individual E/S/G metrics and price each component of ESG investing differently, with E-investing and S-investing practices being the significant financial performance factors of REITs. This study is the first attempt to test the social impact and risk mitigation hypotheses of the stakeholder theory of the corporation and the neoclassic trade-off argument to explore the association between corporate social responsibility and the market valuation of REITs. The full sample results strongly support the trade-off hypothesis, indicating that REITs’ environmental policies involve high financial costs that may drain off capital and lead to decreasing market returns. On the contrary, investors have attached a higher value to S-investing performance, especially in the post-GFC period from 2011 to 2019. A positive premium for S-investing supports the stakeholder theory as the social impact could be monetarized into a higher return and a lower systematic risk and give rise to a competitive advantage
COVID-19 aşılama sürecinde gerçekleşen aşı israfının yanal aktarma ile önlenmesi
No full textAfter the discovery and production of vaccines for the immunization against COVID-19 pandemic, mass vaccination programs are launched across the world. One of the main challenges faced during the COVID-19 mass vaccination programs is vaccine wastage. In a preliminary and empirical work conducted with healthcare professionals working at family health centers, we identify that using multi-dose vaccine vials is one of the significant factors causing the wastage. Some COVID-19 vaccines are preserved in multi-dose vials, and once a vial is opened, doses inside perish and go to waste in a few hours if not used. In this study, we analyze the lateral transshipment strategies in which open vials are transferred between vaccination points to decrease vaccine wastage. Besides making operational decisions regarding the vaccination process, we also examine the demand uncertainty issue due to the appointment no-shows. The problem is formulated as a 2-stage stochastic programming model. We solve the problem by developing a heuristic approach in which we cluster the vaccination points to form alliances using a mathematical model and utilizing the second stage of the 2-stage stochastic programming model. We validate our work by conducting a case study with family health centers in Tuzla, İstanbul and provide valuable insights for the case. The results show that our heuristic approach can be relied on its reasonable solution time, and provide quality solutions.COVID-19 pandemisine karşı bağışıklık kazandıran aşıların keşfi ve üretimi ardından tüm dünyada kitle aşılama süreçleri başlatılmıştır. COVID-19 aşılama sürecinde karşılaşılan en önemli sorunlardan biri ise aşı israfıdır. Aile sağlığı merkezlerinde çalışan sağlık personelleri ile gerçekleştirilen deneysel ön çalışmada, israfa yol açan önemli faktörlerden birinin çok dozlu flakonların kullanılması olduğu belirlenmiştir. Bazı COVID-19 aşıları çok dozlu flakonlarda saklanır ve flakonların kullanım için açılmasının ardından saat bazında kısa bir raf ömrüne sahiptir ve bu süreç içerisinde kullanılmazlarsa aşı israfı ortaya çıkmaktadır. Bu çalışmada, aşı israfını azaltmak için aşılama noktaları arasında gerçekleşen, açılmış flakonların taşındığı yanal aktarma stratejileri analiz edilmiştir. Problemde, aşılama sürecini temsil eden günlük operasyonel kararlar vermenin yanı sıra aşı rezervasyonuna katılım göstermeme durumundan dolayı talep belirsizliği durumunu da ele alınmıştır. Problem iki aşamalı olasılıksal programlama kullanılarak modellenmiştir. Çözüm yöntemi olarak matematiksel model kullanılarak birlikler oluşturmak için aşılama noktalarının kümelendiği ve iki aşamalı olasılıksal programlama modelinin ikinci aşamasından yararlanılan bir sezgisel yöntem geliştirilmiştir. İstanbul'un Tuzla ilçesinde yer alan aile sağlığı merkezlerinin yer aldığı bir vaka çalışması ile çalışmanın geçerliliği test edilmiştir ve vaka için değerli içgörüler sunulmuştur. Elde edilen sonuçlara göre geliştirdiğimiz sezgisel yöntem makul bir sürede iyi çözümler üretmektedir
Bandwidth prediction in low-latency media transport
No full textDesigning a robust bandwidth prediction algorithm for low-latency media transport that can quickly adapt to varying network conditions is challenging. In this paper, we present the working principles of a hybrid bandwidth predictor (termed BoB, Bang-on-Bandwidth) we developed recently for real-time communications and discuss its use with the new Media-over-QUIC (MOQ) protocol proposals.Ministry of Education - Singapor
Investigation of average crosslink distance and physicochemical properties of gummy candy during storage: Effect of formulation and storage temperature featured
No full textTexture is linked to food structure at micro- and macro-levels. The most effective way to manipulate gel texture is to change the number of crosslinks per unit volume. Polymer concentration and type can be changed or the amount of evaporated water can be adjusted to achieve this. Gummy candy is a good food model to investigate texture due to the presence of versatile polymer gelling agents. The estimation of average cross-link distance is a good approach to monitor candy texture. Physicochemical properties are useful indicators showing storage stability. In this study, gummy candies were prepared with different glucose sirup:sucrose ratios (1.1 and 1.5), starch (0% and 1.5%), and gelatin (3% and 6%) concentrations. Texture (hardness), moisture content, water activity (aw), total soluble solids (TSS), and pH were measured. Candies were stored at 10, 20, and 30 °C for 12 weeks and at ambient temperatures of 15-22 °C for 52 weeks. Gelatin concentration, moisture content, storage time, and temperature affected hardness. At 1.5 glucose sirup:sucrose ratio, average cross-link distance decreased after 10 °C storage for 3% gelatin level and it increased after 20 and 30 °C storage for 6% gelatin and 0% starch level; however, it did not change for 15-22 °C storage. Moisture content, aw, TSS, and pH were affected by glucose sirup:sucrose ratio. A Weibullian model was used to express quality changes, and physicochemical indicators did not have an integer kinetic order. Tracking of physicochemical properties and texture with average cross-link distance calculation and modeling is useful for storage stability studies showing the quality of food gel products
An inverse synthesis method for the determination of effective mechanical properties for additively manufactured aperiodic structures with finite thickness
No full textThe production of thin-walled structures via Additive Manufacturing is common for thermo-mechanical applications such as heat exchanger cores. However, accurate and efficient models predicting the effective material response of complex geometries with periodic inclusions where the finite size effect or aperiodicity is considered are limited. To address this challenge, here an inverse synthesis approach to calculate the effective material properties of periodic structures with finite thickness or aperiodicity is studied based on the Hill-Mandel equivalence principle under specific loading conditions using ANSYS optimization solver. The method is demonstrated on periodic microstructures with finite thickness/aperiodicity and square unit cells with circular inclusions. Results show that boundary conditions need to be revised to capture the finite size effect, but the framework has the potential of incorporating metrics and loadings for a variety of geometries with aperiodicity
Capacity planning for effective cohorting of hemodialysis patients during the coronavirus pandemic: A case study
No full textPlanning treatments of different types of patients have become challenging in hemodialysis clinics during the COVID-19 pandemic due to increased demands and uncertainties. In this study, we address capacity planning decisions of a hemodialysis clinic, located within a major public hospital in Istanbul, which serves both infected and uninfected patients during the COVID-19 pandemic with limited resources (i.e., dialysis machines). The clinic currently applies a 3-unit cohorting strategy to treat different types of patients (i.e., uninfected, infected, suspected) in separate units and at different times to mitigate the risk of infection spread risk. Accordingly, at the beginning of each week, the clinic needs to allocate the available dialysis machines to each unit that serves different patient cohorts. However, given the uncertainties in the number of different types of patients that will need dialysis each day, it is a challenge to determine which capacity configuration would minimize the overlapping treatment sessions of different cohorts over a week. We represent the uncertainties in the number of patients by a set of scenarios and present a stochastic programming approach to support capacity allocation decisions of the clinic. We present a case study based on the real-world patient data obtained from the hemodialysis clinic to illustrate the effectiveness of the proposed model. We also compare the performance of different cohorting strategies with three and two patient cohorts.AXA Research Fun