5916 research outputs found
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An integrated approach to archaeological heritage: The Shipwreck Museum in the Kyrenia Castle, Cyprus
No full textDigital survey tools allow a fast acquisition of large datasets, documenting extensively the different phases of buildings and urban settlements; the data integration level has recently evolved so to keep together details at different scales and now is easy to manage, with a significant improvement in the overall understanding of built heritage. In this case, we integrated Terrestrial Photogrammetry, Aerial Photogrammetry and Terrestrial Lasergrammetry for the documentation of a large fortification, the Castle of Kyrenia, which concomitantly provided extensive data for the design of a museum inside the castle. The survey started within the international workshop held therein in May 2018, with the scientific coordination of Girne American University (Cyprus), Özyeğin University (Turkey), and Florence University (Italy)
Light, plasmonics and particles
No full textLight, Plasmonics and Particles focuses on the fundamental science and engineering applications of light scattering by particles, aerosols and hydrosols, and of localized plasmonics. The book is intended to be a self-contained and coherent resource volume for graduate students and professionals in the disciplines of materials science, engineering and related disciplines of physics and chemistry. In addition to chapters related to fundamental concepts, it includes detailed discussion of different numerical models, experimental systems and applications. In order to develop new devices, processes and applications, we need to advance our understanding of light-matter interactions. For this purpose, we need to have a firm grasp of electromagnetic wave phenomena, and absorption and scattering of waves by different size and shape geometrical objects. In addition, understanding of tunneling of waves based on electron and lattice vibrations and coupling with the thermal fluctuations to enhance near-field energy transfer mechanisms are required for the development of future energy harvesting devices and sensors
Governing contingencies by proxy: a governmentality approach on social supports in Istanbul under mutual uncertainty
No full textContingencies comprise immediate possibilities and aleatory interactions in the form of calculated responses to mutual uncertainties. While contingencies are critically important to governmental policies, yet they have been rarely considered in social analysis. The aim of this study is to analyze how the Covid-19 pandemic as a crisis has been governed both against and through contingencies by investigating the social support measures initiated by the Turkish government and the Istanbul Metropolitan Municipality (IMM). We gathered empirical data qualitatively from 12 in-depth interviews with the officers of local government and NGOs, supplemented by official documents. We found that contingencies are produced and become residual through configurational interdependencies, such as competition between the central and local government, unemployment, inadequate support, standardization, path dependency, and lack of diversification in need assessment. This study revealed that governmental practices are governed through contingent possibilities and interactions under mutual uncertainty and the politics of crisis management and conflict between local and central authority changed social support mechanisms
Overview of light, plasmonics, and particles
No full textIn this chapter, we present a short discussion about light and its importance in nature, human civilizations, and society, and provide some cultural discussions. We briefly mention the interconnections between electromagnetic wave propagation, absorption, scattering, plasmonics, thermal emission, and near-field radiative transfer. We also provide an overview of the chapters in the book to help the reader to start their pursuit of interdisciplinary studies of light, plasmonics, and particles
Measurement of differential cross sections for the production of a Z boson in association with jets in proton-proton collisions at √s=13 TeV
No full textA measurement is presented of the production of Formula Presented bosons that decay into two electrons or muons in association with jets, in proton-proton collisions at a center-of-mass energy of 13 TeV. The data were recorded by the CMS Collaboration at the LHC with an integrated luminosity of Formula Presented. The differential cross sections are measured as a function of the transverse momentum (Formula Presented) of the Formula Presented boson and the transverse momentum and rapidities of the five jets with largest Formula Presented. The jet multiplicity distribution is measured for up to eight jets. The hadronic activity in the events is estimated using the scalar sum of the Formula Presented of all the jets. All measurements are unfolded to the stable-particle level and compared with predictions from various Monte Carlo event generators, as well as with expectations at leading and next-to-leading orders 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 program
and the European Research Council and Horizon 2020
Grant, Contracts No. 675440, No. 724704, No. 752730,
No. 758316, No. 765710, No. 824093, No. 884104, and
COST Action No. 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 (FRIABelgium); 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 No. 30820817; the Beijing
Municipal Science and 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 No. 2288 (Greece); the Deutsche
Forschungsgemeinschaft (DFG), under Germany’s
Excellence Strategy—EXC 2121 “Quantum Universe”—
390833306, and under Project No. 400140256—
GRK2497; the Hungarian Academy of Sciences, the
New National Excellence Program—ÚNKP, the NKFIH
research Grants No. K 124845, No. K 124850, No. K
128713, No. K 128786, No. K 129058, No. K 131991,
No. K 133046, No. K 138136, No. K 143460, No. K
143477, No. 2020-2.2.1-ED-2021-00181, and
No. 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 No. Opus 2021/41/B/ST2/
01369 and No. 2021/43/B/ST2/01552 (Poland); the
Fundação para a Ciência e a Tecnologia, Grant
No. CEECIND/01334/2018 (Portugal); the National
Priorities Research Program by Qatar National Research
Fund; No. MCIN/AEI/10.13039/501100011033, ERDF “a
way of making Europe”, and the Programa Estatal de
Fomento de la Investigación Científica y T´ecnica de
Excelencia María de Maeztu, Grant No. MDM-2017-
0765 and Programa Severo Ochoa del Principado de
Asturias (Spain); the Chulalongkorn Academic into Its
second 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 No. B05F650021 (Thailand); the Kavli
Foundation; the Nvidia Corporation; the SuperMicro
Corporation; the Welch Foundation, Contract No. C1845; and the Weston Havens Foundation (USA).Publisher versio
Debating voter defection in Turkey
No full textThis study examines patterns of voter defection from Turkey’s incumbent AKP amid major economic and democratic decline. As in other electoral autocracies, defectors constitute a small but politically significant group in Turkey, where the opposition’s ability to secure a transition from authoritarianism depends on reducing the incumbent’s vote share. Based on survey data gathered in November 2021 and February 2022, we find that while the high level of partizanship among AKP voters hinders defection, persistent economic and democratic decline still reduces incumbent support. We also found that defections are higher outside of the lowest income group. Our findings have important implications for opposition strategies in electoral autocracies. Directing public debate away from identity issues to economic and democratic problems increases the likelihood of defection. In addition, offering voters clear superior alternatives decreases the cost of uncertainty that comes with change and increases the likelihood of defection
Context based echo state networks for robot movement primitives
No full textReservoir Computing, in particular Echo State Networks (ESNs) offer a lightweight solution for time series representation and prediction. An ESN is based on a discrete time random dynamical system that is used to output a desired time series with the application of a learned linear readout weight vector. The simplicity of the learning suggests that an ESN can be used as a lightweight alternative for movement primitive representation in robotics. In this study, we explore this possibility and develop Context-based Echo State Networks (CESNs), and demonstrate their applicability to robot movement generation. The CESNs are designed for generating joint or Cartesian trajectories based on a user definable context input. The context modulates the dynamics represented by the ESN involved. The linear read-out weights then can pick up the context-dependent dynamics for generating different movement patterns for different contexts. To achieve robust movement execution and generalization over unseen contexts, we introduce a novel data augmentation mechanism for ESN training. We show the effectiveness of our approach in a learning from demonstration setting. To be concrete, we teach the robot reaching and obstacle avoidance tasks in simulation and in real-world, which shows that the developed system, CESN provides a lightweight movement primitive representation system that facilitate robust task execution with generalization ability for unseen seen contexts, including extrapolated ones.New Energy and Industrial Technology Development Organization (NEDO) ; Japan Science & Technology Agency (JST) ; Core Research for Evolutional Science and Technology (CREST
A non-clustered approach to platelet collection routing problem
No full textOne of the blood components that can be extracted from whole blood is the platelet, which has a wide range of uses in medical fields. Due to the perishable nature of platelets, it is recommended that the separation occurs within six hours after the donation. Moreover, platelets constitute less than one percent of the whole blood volume, yet they are highly demanded. Given the importance of platelets in healthcare, their perishability, and their limited supply, an effective platelet supply chain leans on well-managed whole blood collection operations. In this study, we consider a blood collection problem (BCP) focusing on the collection of whole blood donations from the blood donation sites (BDSs). Different from the basic form of BCP, we consider the processing time limit (PTL) of blood and arbitrary donation patterns of donors as well as relaxing the assumption of assigning each blood collection vehicle (BCV) to a set of BDSs. Therefore, we define the non-clustered maximum blood collection problem (NCMBCP) as a variant of BCP. In this study, we examine routing decisions for platelet collections while relaxing the clustering requirement from the BDSs, which results in a significant increase in the complexity of the problem. In order to solve the problem, we propose a hybrid genetic algorithm (HGA) and an invasive weed optimization (IWO) algorithm that provide considerable improvements over the best solution in the literature for the clustered variant of the problem and outperform it (on average) by 8.68% and 8.16%, respectively