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Search for Nonresonant Pair Production of Higgs Bosons in the B(b)over-Barb (b)over-Bar Final State in Pp Collisions at √s=13 Tev With the Atlas Detector
No full textA search for nonresonant Higgs boson pair production in the b (b) over barb (b) over bar final state is presented. The analysis uses 126 fb(-1) of pp collision data at root s = 13 TeV collected with the ATLAS detector at the Large Hadron Collider, and targets both the gluon-gluon fusion and vector-boson fusion production modes. No evidence of the signal is found and the observed (expected) upper limit on the cross section for nonresonant Higgs boson pair production is determined to be 5.4 (8.1) times the Standard Model predicted cross section at 95% confidence level. Constraints are placed on modifiers to the HHH and HHVV couplings. The observed (expected) 2 sigma constraints on the HHH coupling modifier, kappa(lambda), are determined to be [-3.5, 11.3] ([-5.4, 11.4]), while the corresponding constraints for the HHVV coupling modifier, kappa(2V), are [-0.0, 2.1] ([-0.1, 2.1]). In addition, constraints on relevant coefficients are derived in the context of the Standard Model effective field theory and Higgs effective field theory, and upper limits on the HH production cross section are placed in seven Higgs effective field theory benchmark scenarios
A Search for Heavy Higgs Bosons Decaying Into Vector Bosons in Same-Sign Two-Lepton Final States in Pp Collisions at √s=13 Tev With the Atlas Detector
No full textA search for heavy Higgs bosons produced in association with a vector boson and decaying into a pair of vector bosons is performed in final states with two leptons (electrons or muons) of the same electric charge, missing transverse momentum and jets. A data sample of proton-proton collisions at a centre-of-mass energy of 13 TeV recorded with the ATLAS detector at the Large Hadron Collider between 2015 and 2018 is used. The data correspond to a total integrated luminosity of 139 fb(-1). The observed data are in agreement with Standard Model background expectations. The results are interpreted using higher-dimensional operators in an effective field theory. Upper limits on the production cross-section are calculated at 95% confidence level as a function of the heavy Higgs boson's mass and coupling strengths to vector bosons. Limits are set in the Higgs boson mass range from 300 to 1500 GeV, and depend on the assumed couplings. The highest excluded mass for a heavy Higgs boson with the coupling combinations explored is 900 GeV. Limits on coupling strengths are also provided.ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW; FWF, Austria; ANAS; CNPq; FAPESP, Brazil; NSERC; CFI, Canada; NSFC, China; MEYS CR, Czech Republic; DNRF; DNSRC, Denmark; IN2P3-CNRS; CEA-DRF/IRFU, France; BMBF; MPG, Germany; RGC and Hong Kong SAR, China; ISF and Benoziyo Center, Israel; INFN, Italy; MEXT; JSPS, Japan; CNRST, Morocco; NWO, Netherlands; RCN, Norway; MEiN, Poland; FCT, Portugal; MNE/IFA, Romania; MESTD, Serbia; MSSR, Slovakia; ARRS; MIZS, Slovenia; MICINN, Spain; Wallenberg Foundation, Sweden; SNSF and Cantons of Bern and Geneva, Switzerland; MOST, Taiwan; DOE; NSF, United States of America; BCKDF; CANARIE; CRC, Canada [PRIMUS 21/SCI/017, UNCE SCI/013]; Czech Republic; ERC; ERDF; Marie Skodowska-Curie Actions, European Union; Investissements d'Avenir Labex, Investissements d'Avenir Idex; ANR, France; DFG; AvH Foundation, Germany - EU-ESF; Greek NSRF, Greece; BSF-NSF; NCN; La Caixa Banking Foundation; CERCA Programme Generalitat de Catalunya; PROMETEO; Generalitat Valenciana, Spain; Goran Gustafssons Stiftelse, Sweden; Royal Society; Leverhulme Trust, United KingdomWe acknowledge the support of ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW and FWF, Austria; ANAS, Azerbaijan; CNPq and FAPESP, Brazil; NSERC, NRC and CFI, Canada; CERN; ANID, Chile; CAS, MOST and NSFC, China; Minciencias, Colombia; MEYS CR, Czech Republic; DNRF and DNSRC, Denmark; IN2P3-CNRS and CEA-DRF/IRFU, France; SRNSFG, Georgia; BMBF, HGF and MPG, Germany; GSRI, Greece; RGC and Hong Kong SAR, China; ISF and Benoziyo Center, Israel; INFN, Italy; MEXT and JSPS, Japan; CNRST, Morocco; NWO, Netherlands; RCN, Norway; MEiN, Poland; FCT, Portugal; MNE/IFA, Romania; MESTD, Serbia; MSSR, Slovakia; ARRS and MIZS, Slovenia; DSI/NRF, South Africa; MICINN, Spain; SRC and Wallenberg Foundation, Sweden; SERI, SNSF and Cantons of Bern and Geneva, Switzerland; MOST, Taiwan; TENMAK, Turkiye; STFC, United Kingdom; DOE and NSF, United States of America. In addition, individual groups and members have received support from BCKDF, CANARIE, Compute Canada and CRC, Canada; PRIMUS 21/SCI/017 and UNCE SCI/013, Czech Republic; COST, ERC, ERDF, Horizon 2020 and Marie Sklodowska-Curie Actions, European Union; Investissements d'Avenir Labex, Investissements d'Avenir Idex and ANR, France; DFG and AvH Foundation, Germany; Herakleitos, Thales and Aristeia programmes co-financed by EU-ESF and the Greek NSRF, Greece; BSF-NSF and MINERVA, Israel; Norwegian Financial Mechanism 2014-2021, Norway; NCN and NAWA, Poland; La Caixa Banking Foundation, CERCA Programme Generalitat de Catalunya and PROMETEO and GenT Programmes Generalitat Valenciana, Spain; Goran Gustafssons Stiftelse, Sweden; The Royal Society and Leverhulme Trust, United Kingdom
Low Complexity Scheduling and Phase Shift Optimization in Ris-Aided Mmwave Downlink Transmission
No full textAselsan;CIS ARGE;Yeditepe University2023 International Conference on Smart Applications, Communications and Networking, SmartNets 2023 -- 25 July 2023 through 27 July 2023 -- 191902We study the problem of multi-user scheduling, beamforming and phase shift optimization in Reconfigurable Intelligent Surface (RIS)-assisted mmWave downlink transmission. The proposed proportional fair scheduling algorithm takes into account the direct and cascade achievable rates and inter-user interference. In order for a RIS to be useful in mmWave band, extremely high number of RIS elements are required. This results in prohibitive complexity in channel estimation and beam-forming/phase shift optimization. In this work we also discussed and proposed solutions for low complexity beamforming and phase shift optimization. Performance of the proposed scheduling, beamforming and phase shift optimization solution is evaluated by simulations. Comparison with some benchmarks reveal that interference-aware proportional fair user scheduling results in significant performance gains. © 2023 IEEE.Türkiye Bilimsel ve Teknolojik Araştırma Kurumu, TÜBİTAK: 122E401This research is supported by the Turkish Scientific and Technological Research Council (TUBITAK) Research Project No. EEEAG 122E401
Search for Flavour-Changing Neutral Tqh Interactions With H → Γγ in Pp Collisions at √s=13 Tev Using the Atlas Detector
No full textA search for flavour-changing neutral interactions involving the top quark, the Higgs boson and an up-type quark q ( q = c, u) is presented. The proton-proton collision data set used, with an integrated luminosity of 139 fb(-1), was collected at root s = 13TeV by the ATLAS experiment at the Large Hadron Collider. Both the decay process t -> qH in tt production and the production process pp. tH, with the Higgs boson decaying into two photons, are investigated. No significant excess is observed and upper limits are set on the t. cH and the t. uH branching ratios of 4.3x10(-4) and 3.8x10(-4), respectively, at the 95% confidence level, while the expected limits in the absence of signal are 4.7x10(-4) and 3.9x10(-4). Combining this search with ATLAS searches in the H. t+ t- and H. b b final states yields observed (expected) upper limits on the t -> cH branching ratio of 5.8 x 10(-4) (3.0 x 10(-4)) at the 95% confidence level. The corresponding observed (expected) upper limit on the t -> uH branching ratio is 4.0 x 10(-4) (2.4 x 10(-4)).ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW, Austria; FWF, Austria; ANAS, Azerbaijan; CNPq, Brazil; FAPESP, Brazil; NSERC, Canada; CFI, Canada; NRC, Canada; CERN; ANID, Chile; CAS, China; MOST, China; NSFC, China; Minciencias, Colombia; MEYS CR, Czech Republic; DNRF, Denmark; DNSRC, Denmark; IN2P3-CNRS, France; CEA-DRF/IRFU, France; SRNSFG, Georgia; BMBF, Germany; HGF, Germany; MPG, Germany; GSRI, Greece; RGC, China; Hong Kong SAR, China; ISF, Israel; Benoziyo Center, Israel; INFN, Italy; MEXT, Japan; JSPS, Japan; CNRST, Morocco; NWO, Netherlands; RCN, Norway; MEiN, Poland; FCT, Portugal; MNE/IFA, Romania; MESTD, Serbia; MSSR, Slovakia; ARRS, Slovenia; MIZS, Slovenia; DSI/NRF, South Africa; MICINN, Spain; SRC, Sweden; Wallenberg Foundation, Sweden; SERI, Switzerland; SNSF, Switzerland; Canton of Bern, Switzerland; Canton of Geneva, Switzerland; MOST, Taiwan; TENMAK, Turkiye; STFC, United Kingdom; DOE, United States of America; NSF, United States of America; BCKDF, Canada; CANARIE, Canada; Compute Canada, Canada; CRC, Canada; PRIMUS, Czech Republic [21/SCI/017]; UNCE, Czech Republic [SCI/013]; COST, European Union; ERC, European Union; ERDF, European Union; Horizon 2020, European Union; Marie Sklodowska-Curie Actions, European Union; Investissements d'Avenir Labex, France; Investissements d'Avenir Idex, France; ANR, France; DFG, Germany; AvH Foundation, Germany; Herakleitos programme - EU-ESF, Greece; Thales programme - EU-ESF, Greece; Aristeia programme - EU-ESF, Greece; Greek NSRF, Greece; BSF-NSF, Israel; MINERVA, Israel; Norwegian Financial Mechanism 2014-2021, Norway; NCN, Poland; NAWA, Poland; La Caixa Banking Foundation, Spain; CERCA Programme Generalitat de Catalunya, Spain; PROMETEO Programme Generalitat Valenciana, Spain; GenT Programme Generalitat Valenciana, Spain; Goran Gustafssons Stiftelse, Sweden; Royal Society, United Kingdom; Leverhulme Trust, United KingdomWe thank CERN for the very successful operation of the LHC, as well as the support staff from our institutions without whom ATLAS could not be operated efficiently.; We acknowledge the support of ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW and FWF, Austria; ANAS, Azerbaijan; CNPq and FAPESP, Brazil; NSERC, NRC and CFI, Canada; CERN; ANID, Chile; CAS, MOST and NSFC, China; Minciencias, Colombia; MEYS CR, Czech Republic; DNRF and DNSRC, Denmark; IN2P3-CNRS and CEA-DRF/IRFU, France; SRNSFG, Georgia; BMBF, HGF and MPG, Germany; GSRI, Greece; RGC and Hong Kong SAR, China; ISF and Benoziyo Center, Israel; INFN, Italy; MEXT and JSPS, Japan; CNRST, Morocco; NWO, Netherlands; RCN, Norway; MEiN, Poland; FCT, Portugal; MNE/IFA, Romania; MESTD, Serbia; MSSR, Slovakia; ARRS and MIZS, Slovenia; DSI/NRF, South Africa; MICINN, Spain; SRC and Wallenberg Foundation, Sweden; SERI, SNSF and Cantons of Bern and Geneva, Switzerland; MOST, Taiwan; TENMAK, Turkiye; STFC, United Kingdom; DOE and NSF, United States of America. In addition, individual groups and members have received support from BCKDF, CANARIE, Compute Canada and CRC, Canada; PRIMUS 21/SCI/017 and UNCE SCI/013, Czech Republic; COST, ERC, ERDF, Horizon 2020, ICSC-NextGenerationEU and Marie Skodowska-Curie Actions, European Union; Investissements d'Avenir Labex, Investissements d'Avenir Idex and ANR, France; DFG and AvH Foundation, Germany; Herakleitos, Thales and Aristeia programmes co-financed by EU-ESF and the Greek NSRF, Greece; BSF-NSF and MINERVA, Israel; Norwegian Financial Mechanism 2014-2021, Norway; NCN and NAWA, Poland; La Caixa Banking Foundation, CERCA Programme Generalitat de Catalunya and PROMETEO and GenT Programmes Generalitat Valenciana, Spain; Goran Gustafssons Stiftelse, Sweden; The Royal Society and Leverhulme Trust, United Kingdom.; The crucial computing support from all WLCG partners is acknowledged gratefully, in particular from CERN, the ATLAS Tier-1 facilities at TRIUMF (Canada), NDGF (Denmark, Norway, Sweden), CC-IN2P3 (France), KIT/GridKA (Germany), INFN-CNAF (Italy), NL-T1 (Netherlands), PIC (Spain), ASGC (Taiwan), RAL (U.K.) and BNL (U.S.A.), the Tier-2 facilities worldwide and large non-WLCG resource providers. Major contributors of computing resources are listed in ref
Breast Cancer Diagnosis Using Feature Selection Approaches and Bayesian Optimization
No full textBreast cancer seriously affects many women. If breast cancer is detected at an early stage, it may be cured. This paper proposes a novel classification model based improved machine learning algorithms for diagnosis of breast cancer at its initial stage. It has been used by combining feature selection and Bayesian optimization approaches to build improved machine learning models. Support Vector Machine, K-Nearest Neighbor, Naive Bayes, Ensemble Learning and Decision Tree approaches were used as machine learning algorithms. All experiments were tested on two different datasets, which are Wisconsin Breast Cancer Dataset (WBCD) and Mammographic Breast Cancer Dataset (MBCD). Experiments were implemented to obtain the best classification process. Relief, Least Absolute Shrinkage and Selection Operator (LASSO) and Sequential Forward Selection were used to determine the most relevant features, respectively. The machine learning models were optimized with the help of Bayesian optimization approach to obtain optimal hyperparameter values. Experimental results showed the unified feature selection-hyperparameter optimization method improved the classification performance in all machine learning algorithms. Among the various experiments, LASSO-BO-SVM showed the highest accuracy, precision, recall and F1-score for two datasets (97.95%, 98.28%, 98.28%, 98.28% for MBCD and 98.95%, 97.17%, 100%, 98.56% for MBCD), yielding outperforming results compared to recent studies. © 2023 CRL Publishing. All rights reserved
The Impact of Exports on Firm Employment in Turkiye
No full textThis study investigates the employment effects of exports on employment based on Turkish firm-level data over the period 2003-2015. To this aim, we adopt Propensity Score Matching (PSM) and Difference-in-Differences (DID) techniques to construct treatment models. The results show that exporting encourages firms' employment significantly. Specifically, this effect is more significant for Turkish manufacturing firms in labour-intensive and low/medium-low technology sectors and those paying lower wages
Yonga Üstü Optik Faz Kontrolü ile Terahertz Zaman-alanı Hüzme Yönlendirmeli Fotoiletken Anten Dizisi Geliştirilmesi
No full textBu projenin amacı, zaman-alanında, yonga-üstü optik bileşenler kullanılarak hüzme yönlendirmesi yapabilen, entegre bir terahertz fotoiletken anten dizisi geliştirilmesidir. Hüzme yönlendirme uygulamaları özellikle radar, görüntüleme ve kablosuz iletişim gibi uygulamalar için kritik öneme haizdir. Bu sebeple mikrodalga ve radyo frekans bantlarında birçok hüzme yönlendirme uygulamasına literatürde yer verilmiştir. Bu frekanslarda hüzme yönlendirme işlemi, genel olarak, elektronik bir sistem vasıtasıyla antenlerin faz ve genlik değerleri değiştirilerek elde edilmektedir. Yansıtıcı ve geçirici yüzey anten dizilerinin de bu amaç doğrultusunda kullanıldığı sistemler bulunmaktadır. Bu projenin hedefi ise, şimdiye kadar daha düşük frekanslarda sadece sürekli dalga olarak (CW) kullanılmış bu metodu, zaman-alanında optik bileşenler kullanarak hedeflediğimiz 0.8 ? 2 THz bandına taşımaktır. Elektromanyetik tayfın bu bandında fotoiletken anten dizisi yapısında yonga-üstü optik bileşenlerle faz farkı elde edilip zaman-alanında hüzme yönlendirmesi yapılan bir çalışma henüz literatürde bulunmamaktadır. Halbuki, bu metot kullanılarak yapılabilecek bir hüzme yönlendirme uygulaması, ilgili bantlarda çalışacak radar-görüntüleme ve yüksek hızlı iletişim uygulamaları için çok önemli bir gelişme olacaktır. Literatürde bulunan ve bu frekans bandında çalışabilen uygulamalar, genellikle mekanik olarak gelen lazer ışığın açısını kaydırma üzerine kuruludur. Fakat bu ve benzeri yöntemler, doğaları gereği, hedeflenen radar-görüntüleme ve yüksek hızda kablosuz iletişim için yavaş kalmaktadır; ayrıca, metal hatların kullanıldığı elektronik yapılar kullanılarak yapılan yönlendirmeler hızlı olmasına rağmen kayıplı olduğu için verimi düşürmektedir. Optik dalga kılavuzları tasarlanarak faz farkı dolayısıyla elde edilecek hüzme yönlendirme işlemi hem daha geniş bantta uygulanabilecek hem de kayıpları oldukça düşürecektir. Bununla birlikte yonga-üstü optik bileşenlerin fotoiletken anten dizisi ile birlikte kullanılması mikrodalga fotoniği teknolojisi için değerli bir çalışma olacaktır. Hedeflenen bileşen, 1550 nm dalga boyu civarında yayılım yapan atımlı bir lazer kaynağı ile beslenen fotoiletken katmana sahip bir yarıiletken alttaş, gelen atımlı lazer sinyalini antenlere ulaştıracak ve aynı zamanda faz (ve gerekirse genlik) kontrolü yapacak yonga-üstü optik bileşenler, fotoiletken katman üzerindeki terahertz antenler ve çıkan terahertz ışığı toplayan silisyum bir mercekten oluşacaktır. İlgili optik hatlar (gecikme hattı) her anten için farklı faz farkı sağlayacak yapısal farklılıklara sahip olacaktır. Bu yapıların tasarıma bağlı olarak antenler üzerinde oluşturacağı fazlarla her bir antenin ortama yayacağı yayılım zaman-alanında sadece belli bir yönde yapıcı bir şekilde girişime uğrayacaktır. Böylelikle ortaya çıkan hüzme belli bir yöne yönlenmiş olacaktır. Projenin somut olarak hedefleri ise: ? Zaman-alanında atımlı bir optik sinyal ile uyarılan ve birden fazla terahertz fotoiletken antenden oluşan bir anten dizisinden çıkan terahertz hüzmenin yönlendirilmesi için gerekli teorik yöntemin geliştirilmesi, ? Geliştirilen teorik yöntemin uygulanabilirliği için teorik çalışmaların yapılması ve limitlerin belirlenmesi, ? Zaman-alanında yonga-üstü optik bileşenler ile statik hüzme yönlendirmesi yapabilen bir terahertz fotoiletken anten dizisi geliştirilmesi (burada 0.8 ? 2 THz bandı öncelikli olarak hedeflenecektir), ? Hüzme yönlendirme işlemi için gerekli olan optik bileşenlerin geliştirilmesi ve terahertz fotoiletken antenlere 3B mikro-işlenmiş aynalar ile verimli bir şekilde entegre edilmesi, ? Terahertz fotoiletken anten dizisinin hüzme yönlendirmesi ve maksimum güç sağlayabilmesi için 2B dizi dağılımının ve lens entegrasyonunun çalışılması, olarak belirlenmiştir
Identification of a Lumped Element Modeled Ring Shaped Structure Via Peak Picking Method
No full textASME 2023 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC-CIE 2023 -- 20 August 2023 through 23 August 2023 -- 194603Computers and Information in Engineering Division;Design Engineering DivisionThis paper presents an application of a well-known modal system identification method (i.e., Peak Picking Method) on ring shaped structures with imbalances in terms of natural frequency and damping ratio mismatches, in-silico. To the best of our knowledge, the application of this method to ring shaped structures is novel in the literature. The system is modeled at secondary vibration pattern (n=2) via zero dimension lumped element modeling approach. Hence the model has two orthogonal modes (i.e., 2-DOF) with coupling terms of natural frequency and time constant mismatch azimuth angles in-between. Natural frequencies and damping ratios in modal coordinates are estimated using Peak Picking Method based on Real and Imaginary parts of Direct and Cross Frequency Response Functions (FRFs). For this purpose, sine-sweep force signals are applied to the model and displacement values of the both modes are collected. Additionally, eigenvalue decomposition method is utilized to obtain the system characteristic as well as to derive system parameters and coupling terms in generalized coordinates. This identification approach is applied to model with varying quality factors (ranging between 2,500-1,000,000), natural frequencies (ranging between 500-3501 Hz) with numerous natural frequency differences of 0.2 Hz, 1 Hz, and 5 Hz, and different natural frequency azimuth mismatch angle values of π/6 and π/12 while keeping the time constant azimuth mismatch angle value at π/8 for performance evaluations. Results show that Peak Picking Method can accurately estimate the natural frequencies in all scenarios, on the other hand damping ratio estimations present higher errors in lower quality factors. Also, both azimuth mismatch angle estimations always converge to the highest value given, which is a shortcoming of this method. Copyright © 2023 by ASME
Search for a New Pseudoscalar Decaying Into a Pair of Muons in Events With a Top-Quark Pair at Formula Presented With the Atlas Detector
No full textA search for a new pseudoscalar Formula Presented-boson produced in events with a top-quark pair, where the Formula Presented-boson decays into a pair of muons, is performed using Formula Presented Formula Presented collision data collected with the ATLAS detector at the LHC, corresponding to an integrated luminosity of Formula Presented. The search targets the final state where only one top quark decays to an electron or muon, resulting in a signature with three leptons Formula Presented and Formula Presented. No significant excess of events above the Standard Model expectation is observed and upper limits are set on two signal models: Formula Presented and Formula Presented with Formula Presented, Formula Presented, where Formula Presented, in the mass ranges Formula Presented and Formula Presented. © 2023 CERN, for the ATLAS Collaboration.IN2P3-CNRS; CC-IN2P3; 2014-2021; SCI/013; U.S. Department of Energy, USDOE; Alexander von Humboldt-Stiftung, AvH; Brookhaven National Laboratory, BNL; CRC Health Group, CRC: 21/SCI/017; Canarie; Karlsruhe Institute of Technology, KIT; H2020 Marie Skłodowska-Curie Actions, MSCA; Multiple Sclerosis Scientific Research Foundation, MSSRF; CERN; Compute Canada; Göran Gustafssons Stiftelser; Natural Sciences and Engineering Research Council of Canada, NSERC; National Research Council Canada, NRC; Canada Foundation for Innovation, CFI; Science and Technology Facilities Council, STFC; Leverhulme Trust; European Research Council, ERC; European Cooperation in Science and Technology, COST; Australian Research Council, ARC; National Stroke Foundation, NSF; Neurosurgical Research Foundation, NRF; Helmholtz-Gemeinschaft, HGF; Minerva Foundation; Deutsche Forschungsgemeinschaft, DFG; Agence Nationale de la Recherche, ANR; Japan Society for the Promotion of Science, JSPS; Ministry of Education, Culture, Sports, Science and Technology, MEXT; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, SNF; Danmarks Grundforskningsfond, DNRF; Fundação de Amparo à Pesquisa do Estado de São Paulo, FAPESP; National Natural Science Foundation of China, NSFC; Ministerstvo Školství, Mládeže a Tělovýchovy, MŠMT; Fundação para a Ciência e a Tecnologia, FCT; Bundesministerium für Bildung und Forschung, BMBF; Chinese Academy of Sciences, CAS; Austrian Science Fund, FWF; Generalitat de Catalunya; Ministry of Science and Technology of the People's Republic of China, MOST; Agencia Nacional de Promoción Científica y Tecnológica, ANPCyT; Nederlandse Organisatie voor Wetenschappelijk Onderzoek, NWO; Bundesministerium für Wissenschaft, Forschung und Wirtschaft, BMWFW; Conselho Nacional de Desenvolvimento Científico e Tecnológico, CNPq; Nella and Leon Benoziyo Center for Neurological Diseases, Weizmann Institute of Science; Israel Science Foundation, ISF; Instituto Nazionale di Fisica Nucleare, INFN; Narodowe Centrum Nauki, NCN; Javna Agencija za Raziskovalno Dejavnost RS, ARRS; Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja, MPNTR; Ministerio de Ciencia e Innovación, MICINN; Centre National pour la Recherche Scientifique et Technique, CNRST; Staatssekretariat für Bildung, Forschung und Innovation, SBFI; Horizon 2020; British Columbia Knowledge Development Fund, BCKDF; European Regional Development Fund, ERDF; Defence Science Institute, DSI; Narodowa Agencja Wymiany Akademickiej, NAWA; Institutul de Fizică Atomică, IFA; Agencia Nacional de Investigación y Desarrollo, ANID; Royal Society of South Australia, RSSA; Irish Rugby Football Union, IRF