5916 research outputs found
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Securitization of disinformation in NATO’s lexicon: A computational text analysis
No full textFollowing the Russian meddling in the 2016 US elections, disinformation and fake news became popular terms to help generate domestic awareness against foreign information operations globally. Today, a large number of politicians, diplomats, and civil society leaders identify disinformation and fake news as primary problems in both domestic and foreign policy contexts. But how do security institutions define disinformation and fake news in foreign and security policies, and how do their securitization strategies change over years? Using computational methods, this article explores 238,452 tweets from official NATO and affiliated accounts, as well as more than 2,000 NATO texts, news statements, and publications since January 2014, presenting an unsupervised structural topic model (stm) analysis to investigate the main thematic and discursive contexts of these texts. The study finds that NATO’s threat discourse and securitization strategies are heavily influenced by the US’ political lexicon, and that the organization’s word choice changes based on their likelihood of mobilizing alliance resources and cohesion. In addition, the study suggests that the recent disinformation agenda is, in fact, a continuity of NATO’s long-standing Russiafocused securitization strategy and their attempt to mobilize the Baltic states and Poland in support of NATO’s mission.Publisher versio
Search for strongly interacting massive particles generating trackless jets in proton–proton collisions at s√ = 13TeV
No full textA search for dark matter in the form of strongly interacting massive particles (SIMPs) using the CMS detector at the LHC is presented. The SIMPs would be produced in pairs that manifest themselves as pairs of jets without tracks. The energy fraction of jets carried by charged particles is used as a key discriminator to suppress efficiently the large multijet background, and the remaining background is estimated directly from data. The search is performed using proton–proton collision data corresponding to an integrated luminosity of 16.1fb-1, collected with the CMS detector in 2016. No significant excess of events is observed above the expected background. For the simplified dark matter model under consideration, SIMPs with masses up to 100GeV are excluded and further sensitivity is explored towards higher masses.BMBWF and FWF (Austria); FNRS and FWO (Belgium); CNPq, CAPES, FAPERJ, FAPERGS, and FAPESP (Brazil); MES (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); GSRT (Greece); NKFIA (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); MSHE and NSC (Poland); FCT (Portugal); JINR (Dubna); MON, RosAtom, RAS, RFBR, and NRC KI (Russia); MESTD (Serbia); SEIDI, CPAN, PCTI, and FEDER (Spain); MOSTR (Sri Lanka); Swiss Funding Agencies (Switzerland); MST (Taipei); ThEPCenter, IPST, STAR, and NSTDA (Thailand); TUBITAK and TAEK (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, 765710 and 824093 (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 doorWetenschap 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 Deutsche Forschungsgemeinschaft (DFG), under Germany's Excellence Strategy -EXC 2121 "Quantum Universe" -390833306, and under project number 400140256 -GRK2497; the Lendulet ("Momentum") Programme and the Janos Bolyai Research Scholarship of the Hungarian Academy of Sciences, the New National Excellence Program UNKP, the NKFIA research grants 123842, 123959, 124845, 124850, 125105, 128713, 128786, and 129058 (Hungary); the Council of Science and Industrial Research, India; the Latvian Council of Science; the Ministry of Science and Higher Education and the National Science Center, contracts Opus 2014/15/B/ST2/03998 and 2015/19/B/ST2/02861 (Poland); the National Priorities Research Program by Qatar National Research Fund; the Ministry of Science and Higher Education, project no.
0723-2020-0041 (Russia); the Programa Estatal de Fomento de la Investigacion Cientifica y Tecnica de Excelencia Maria de Maeztu, grant MDM-2015-0509 and the Programa Severo Ochoa del Principado de Asturias; the Thalis and Aristeia programmes cofinanced by EU-ESF and the Greek NSRF; the Rachadapisek Sompot Fund for Postdoctoral Fellowship, Chulalongkorn University and the Chulalongkorn Academic into Its 2nd Century Project Advancement Project (Thailand); the Kavli Foundation; the Nvidia Corporation; the SuperMicro Corporation; the Welch Foundation, contract C-1845; and the Weston Havens Foundation (USA).Publisher versio
Classifying LPI radar waveforms with time-frequency transformations using multi-stage CNN system
No full textAs the number of radar waveforms in the cognitive electronic warfare applications increases, individual detection and classification performances of each waveform vary furthermore due to their different characteristics. To provide a supervised signal classification in an efficient framework, we propose a multi-stage waveform classification system, where multiple modular blocks are combined to classify 18 different radar waveforms. In the first stage, we transform the signals into time-frequency images (TFIs) using Fourier-based Synchrosqueezing Transform (FSST) and SqueezeNet to classify the signals into two subsets: P1-4 and others. Then, the subsets are used as inputs to two different systems. These systems use different TFI techniques such as FSST and Smoothed Pseudo Wigner Ville Distribution (SPWVD) for processing and convolutional neural network (CNN) architectures such as Squeezenet, ResNet-50, and ShuffleNet for classification. In experiments, we provide supervised classification results at different signal-to-noise ratio (SNR) levels and achieve 98.08% classification accuracy at 10-dB SNR on a diverse set of frequency and phase modulated signals
On the use of machine learning for predicting defect fix time violations
No full textAccurate prediction of defect fix time is important for estimating and coordinating software maintenance efforts. Likewise, it is useful to predict whether or not the initially estimated defect fix time will be exceeded during the maintenance process. We present an empirical evaluation on the use of machine learning for predicting defect fix time violations. We conduct an industrial case study based on real projects from the telecommunications domain. We prepare a dataset with 69,000 defect reports regarding 293 projects being maintained between 2015 and 2021. We employ 7 machine learning algorithms. We experiment with 3 subsets of 25 features derived from defects as well as the corresponding projects. Gradient boosted classifiers perform the best by reaching up to 72% accuracy
Site characterization for site response analysis in performance based approach
No full textThe local seismic hazard analysis would yield probabilistic uniform hazard acceleration response spectrum on the engineering bedrock outcrop. Thus, site-specific response analyses need to produce a probabilistic uniform hazard acceleration response spectrum on the ground surface. A possible performance based approach for this purpose requires a probabilistic estimation of soil stratification and engineering properties of encountered soil layers in the soil profile. The major uncertainties in site-specific response analysis arise from the variabilities of (a) local seismic hazard assessment, (b) selection and scaling of the hazard compatible input earthquake time histories, (c) soil stratification and engineering properties of encountered soil and rock layers, and (d) method of site response analysis. Even though the uncertainties related to first two items have primary importance on the outcome of the site-specific response analyses, the discussion in this article focuses on the observed variability and level of uncertainty in site conditions, related to soil stratification, thickness and type of encountered soil layers and their engineering properties, depth of ground water table and bedrock and properties of the engineering bedrock. Thus, one option may be conducting site response analyses for large number of soil profiles produced by Monte Carlo simulations for the investigated site to assess probabilistic performance based design acceleration spectra and acceleration time histories calculated on the ground surface based on 1D, 2D, or 3D site response analysis with respect to different performance levels
Airspace deregulation for UAM: Self-organizing VTOLs in metropoles
No full textSmall-scale aviation has been driven extensively by recent technological developments. Distinct micro/small scale mobility modes are being interlined, where automated Vertical Take-Off and Landing Aircraft (VTOLs) are being conceptualized for Urban Air Mobility (UAM) in the form of air taxi, cargo, disaster relief, or medical help. This implicates many simultaneous flights over cities, which is a significant challenge. Traditional air traffic control is customized for commercial aviation, and it is not suitable for the dynamic variation in the flight routes of UAM. Consequently, a literature review is conducted firstly for air traffic management subject to UAM. Then, as a critical finding, a self-organizing model integrating particularly micro/small scale UAM is proposed utilizing the swarm concept to leverage the autonomous behavior of VTOLs. Rules for self-organization are set, which are then discussed in conjunction with available technologies such as Global Positioning System (GPS) and Traffic Alert and Collision Avoidance System (TCAS). Finally, the basic concept definition is elaborated to determine challenges and future research
Yetişkin çocukların çocuklukta ebeveyn aldatmasıyla ilgili deneyimleri
No full textThis qualitative study aims to investigate children's experiences with parental infidelity in their childhood by using the interpersonal trauma perspective as a framework. The sample consisted of ten participants, 3 men, and 7 women. A semi-structured interview was held and it took approximately 60 minutes to complete. The ten participants’ ages ranged from 25 to 30 years. The analysis revealed four main themes and 13 subthemes on two levels: intrapersonal and interpersonal. Three intrapersonal themes and related subthemes were identified, namely 1) growing up before their time, 1a) child as a bridge between parents 1b) emotional parentification 1c) knowledge about parental sexual experience; 2) emotional rollercoaster around parental infidelity 2a) repressed anger 2b) disgust about third-party 2c) fear of resembling parent(s) 3) coping with parental infidelity 3a) social support as a coping strategy 3b) hard to remember details of parental infidelity 3c) normalization of infidelity 3d) try to emotional cut off from offending parent and one interpersonal theme was 4) challenges in romantic relationship 4a) hardship in trusting others 4b) multigenerational transmission of infidelity 4c) selectivity in a romantic partner. These intrapersonal themes specified the individual's own process in terms of a new adult like position in the family system, emotional ambivalence around parental infidelity, and the mechanisms they used for dealing with the incidence. Additionally, the interpersonal theme indicated the romantic relationship level for adult children's experiences. The findings of this study provide valuable information for clinical practitioners who work with individuals and couples and families by using a trauma perspective. Future studies can focus more on gender-specific parental infidelity experiences. It can also be investigated by crystalizing parental relationship status after revealed infidelity.Bu çalışmanın amacı kişiler arası travma çerçevesini kullanarak ebeveynlerinden birinin aldatmasını bilen çocukların çocuklarındaki deneyimlerini araştırmayı amaçlamaktadır. Örneklem 3 erkek ve 7 kadın olmak üzere on katılımcıdan oluşmaktadır. Yarı yapılandırılmış görüşmeler yapılmış olup, görüşmeler ortalama 60 dakika sürmüştür. On katılımcının yaşları 25 ile 30 arasındadır. Tematik analiz sonucunda iki farklı seviyede, 4 tema ve 13 alt tema ortaya çıkmıştır. Bu iki seviye; içsel kişilik ve romantik ilişki seviyesi olarak belirlenmiştir. İçsel kişilik seviyesinde üç tema ve alt temaları oluşturmuştur. 1) zamanından önce büyümek zorunda kalmak 1a) ebeveynler arasında bir köprü olarak çocuk 1b) duygusal ebeveynleşme 1c) ebeveyn cinsel deneyimlerini bilme 2) ebeveyn aldatması etrafında duygusal dalgalanmalar 2a) bastırılan öfke 2b) üçüncü şahıstan iğrenme 2c) ebeveynlere benzeme korkusu 3) ebeveyn aldatması deneyimi ile ilgili başa çıkma stratejileri 3a) başa çıkma mekanizması olarak sosyal destek 3b) ebeveyn aldatması ayrıntılarını zor hatırlama 3c) aldatmanın normalleştirilmesi 3d) aldatan ebeveynden duygusal olarak kopmaya çalışmak. İlişki seviyesinde ise 1 tema ve 3 alt tema ortaya çıkmıştır: 4) romantik ilişkideki zorluklar 4a) başkalarına güvenmede zorluk 4b) aldatmanın kuşaklararası aktarımı 4c) romantik partnerde seçicilik. Bu içsel temalar, bireyin kendi sürecini aile sistemi üzerindeki yeni yetişkin rolünü, ebeveyn aldatması etrafındaki duygusal dalgalanmalarını ve bu olay ile başa çıkmak için geliştirdikleri baş etme stratejilerini içermektedir. Buna ek olarak, ilişki seviyesinde ise katılımcıların romatik ilişkilerinde olan deneyimleri göstermektedir. Bu çalışmanın bulguları, kişiler arası travma perspektifi baz alınarak; birey, çift ve ailelerle çalışan klinisyenler için değerli bilgiler sunmaktadır. Gelecekteki çalışmalar, cinsiyete özgü ebeveyn aldatma deneyimi üzerinden araştırma yapılabilir. Aynı zamanda ebeveyn aldatması ortaya çıktıktan sonra ebeveynlerin medeni durumuna göre kristalize edilerek de bu değişimler araştırma konuları olabilir
FACET: A new long-lived particle detector in the very forward region of the CMS experiment
No full textWe describe a proposal to add a set of very forward detectors to the CMS experiment for the high-luminosity era of the Large Hadron Collider to search for beyond the standard model long-lived particles, such as dark photons, heavy neutral leptons, axion-like particles, and dark Higgs bosons. The proposed subsystem is called FACET for Forward-Aperture CMS ExTension, and will be sensitive to any particles that can penetrate at least 50 m of magnetized iron and decay in an 18 m long, 1 m diameter vacuum pipe. The decay products will be measured in detectors using identical technology to the planned CMS Phase-2 upgrade.By the Austrian Science Fund Elise-Richter grant project number V592-N27. The University of Iowa group work is supported by the DOE Award No. DE-SC0010113. Istanbul University group work is supported by FUA-2018-32919 from the Scientific Research Projects Coordination Unit of Istanbul University. The University of Maryland group effort is supported by the DOE Award No. DE-SC0010072. M. Du, R. Fang, and Z. Liu are supported in part by the National Natural Science Foundation of China under Grant No. 11775109. V.Q. Tran is supported in part by the National Natural Science Foundation of China under Grant No. 19Z103010239. We acknowledge support provided by the following funding agencies: Academy of Finland and HIP (Finland), TUBITAK and TENMAK (Turkey), DOE and NSF (U.S.A.).Publisher versio
Digital data integration project between a DSO and a university for sustainability and efficiency
No full textDigitization in the energy sector enables big data analysis that can lead to large-scale energy efficiency due to the size of the sector and thus getting closer to sustainability targets. With a digital data integration study between a distribution company and a university in Turkey for big data processing, the data collected by IoT devices from 6,000 active transformers providing service in 5 cities were transferred to different servers together with the developed communication protocols. As a result of the project, the transformer efficiency and sustainability measures were produced. In this study, the mutually established software infrastructure and the benefits of the project are explained.Turkish Energy Market Regulatory Agenc
