5916 research outputs found
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Effects of agent's embodiment in human-agent negotiations
No full textHuman-agent negotiation has recently attracted researchers’ attention due to its complex nature and potential usage in daily life scenarios. While designing intelligent negotiating agents, they mainly focus on the interaction protocol (i.e., what to exchange and how) and strategy (i.e., how to generate offers and when to accept). Apart from these components, the embodiment may implicitly influence the negotiation process and outcome. The perception of a physically embodied agent might differ from the virtually embodied one; thus, it might influence human negotiators’ decisions and responses. Accordingly, this work empirically studies the effect of physical and virtual embodiment in human-agent negotiations. We designed and conducted experiments where human participants negotiate with a humanoid robot in one setting, whereas they negotiate with a virtually embodied replica of that robot in another setting. The experimental results showed that social welfare was statistically significantly higher when the negotiation was held with a virtually embodied robot rather than a physical robot. Human participants took the negotiation more seriously against physically embodied agents and made more collaborative moves in the virtual setting. Furthermore, their survey responses indicate that participants perceived our robot as more humanlike when it is physically embodied.TÜBİTA
Risky maritime encounter patterns via clustering
No full textThe volume of maritime traffic is increasing with the growing global trade demand. The effect of volume growth is especially observed in narrow and congested waterways as an increase in the ship-ship encounters, which can have severe consequences such as collision. This study aims to analyze and validate the patterns of risky encounters and provide a framework for the visualization of model variables to explore patterns. Ship–ship interaction database is developed from the AIS messages, and interactions are analyzed via unsupervised learning algorithms to determine risky encounters using ship domain violation. K-means clustering-based novel methodology is developed to explore patterns among encounters. The methodology is applied to a long-term dataset from the Strait of Istanbul. Findings of the study support that ship length and ship speed can be used as indicators to understand the patterns in risky encounters. Furthermore, results show that site-specific risk thresholds for ship–ship encounters can be determined with additional expert judgment. The mid-clusters indicate that the ship domain violation is a grey zone, which should be treated carefully rather than a bold line. The developed approach can be integrated to narrow and congested waterways as an additional safety measure for maritime authorities to use as a decision support tool.Publisher versio
Pathways to children’s behavioral problems during the COVID-19 pandemic: Fathers’ parenting stress and parenting approaches
No full textAlthough the family stress model theoretically focuses on the roles of both mothers and fathers as predictors of children’s outcomes, studies generally have focused on mothers. The pandemic has brought additional burdens to parents’ daily functioning, including fathers’ involvement in childcare. The current study aimed to examine the contributions of fathers’ parenting stress and parenting approaches to their children’s behavior problems during the COVID-19 pandemic. Particularly, we examined the indirect effects of parenting stress on children’s behavior problems via parenting practices. The participants were 155 fathers (Mage = 36.87, SD = 5.11) and their children (71 girls, 84 boys; Mage = 59.52, SD = 14.98) from Turkish contexts. The fathers reported their parenting stress, approaches, and children’s behavioral problems. The results from the path analysis showed that parenting stress predicted children’s internalizing and externalizing behaviors. Parenting stress also predicted severe punishment and obedience as parts of the parenting approach. Finally, parenting stress was indirectly related to children’s externalizing behaviors via the punishment-based parenting approach of fathers. The findings of the current study highlighted the importance of examining the roles of fathers during the COVID-19 pandemic. Intervention programs targeting reducing fathers’ parenting stress and negative parenting approaches would also be beneficial for reducing children’s behavioral problems.Publisher versio
Search for new physics using effective field theory in 13 TeV pp collision events that contain a top quark pair and a boosted Z or Higgs boson
No full textA data sample containing top quark pairs (tt over bar ) produced in association with a Lorentz-boosted Z or Higgs boson is used to search for signs of new physics using effective field theory. The data correspond to an integrated luminosity of 138 fb-1 of proton-proton collisions produced at a center-of-mass energy of 13 TeV at the LHC and collected by the CMS experiment. Selected events contain a single lepton and hadronic jets, including two identified with the decay of bottom quarks, plus an additional large-radius jet with high transverse momentum identified as a Z or Higgs boson decaying to a bottom quark pair. Machine learning techniques are employed to discriminate between tt over bar Z or tt over bar H events and events from background processes, which are dominated by tt over bar + jets production. No indications of new physics are observed. The signal strengths of boosted tt over bar Z and tt over bar H production are measured, and upper limits are placed on the tt over bar Z and tt over bar H differential cross sections as functions of the Z or Higgs boson transverse momentum. The effects of new physics are probed using a framework in which the standard model is considered to be the low-energy effective field theory of a higher energy scale theory. Eight possible dimension-six operators are added to the standard model Lagrangian, and their corresponding coefficients are constrained via fits to the data.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, and No. 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 & nbsp;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 No. 30820817; the Beijing & nbsp;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 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- UNKP, 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 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 No. 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 No. B05F650021 (Thailand) ; the Kavli Foundation; the Nvidia Corporation; the SuperMicro Corporation; the Welch Foundation, No. C-1845; and the Weston Havens Foundation (USA) .Publisher versio
Comparative characterization of indoor VLC and MMW communications via ray tracing simulations
No full textThe demand for ultra-high-speed indoor wireless connectivity is ever-increasing, which poses unique challenges for the next generation wireless communication system design. This has prompted the exploration of higher frequency bands including millimeter wave (MMW) and visible light bands in addition to the conventional sub-6 GHz band. This paper provides a comprehensive comparison of the propagation channels of these frequency bands under the same indoor environment and scenarios. We adopt ray tracing techniques for site-specific channel modeling, which enables the consideration of the three-dimensional models of the indoor environment and objects inside. It allows us to take into account different frequencies, i.e., 2.4 GHz, 6 GHz, 28 GHz, 60 GHz, 100 GHz, and visible light band as well as different transmitter types, i.e., omnidirectional/directional antennas for radio frequency systems and indoor luminaries for visible light communications (VLC). For different frequencies under consideration, we obtain channel impulse responses (CIRs) and present the channel path losses for various user trajectories in indoor environments. Furthermore, we propose closed-form expressions for the cumulative distribution functions (CDFs) of received power levels for all frequency bands under consideration. Our results demonstrate that VLC channels exhibit lower path loss than that in MMW bands but higher than that of 2.4 GHz band. In addition, it is observed that VLC systems exhibit more sensitivity to shadowing and blockage effects. Our findings further indicate that the characteristics of the propagation channel are greatly influenced by the antenna type. For instance, using omnidirectional and rectangular patch antennas results in lower path loss compared to horn antennas, and this difference becomes more significant as the transmission distance decreases.Publisher versio
Impact of oxidation on pool boiling heat transfer performance over flat plates exposed to extended operating conditions
No full textPhase change heat transfer is utilized in a number of high heat flux applications. In order to ensure reliable functionality at moderate temperatures, one has to guarantee a stable long-term operation. In this experimental study, boiling heat transfer (BHT) performances of several substrates under continuous operation at pre-determined heat fluxes were studied. Tests were performed on bare copper surfaces in saturated deionized (DI) water and HFE-7100 under atmospheric conditions. Measurements were conducted at heat fluxes of 30 W/cm2 and 60 W/cm2 for DI water, whereas at 6 W/cm2 and 12 W/cm2 for HFE-7100. In order to identify the temporal change in surface conditions for each substrate, subsequently repeated heating tests were conducted before a 24-hour operation at constant heat flux. Besides the computation of heat transfer coefficients, contact angle (CA) measurements, high-resolution microscopic images, and scanning electron microscope (SEM) analyses were carried out to characterize the impact over surfaces. Microscopic images showed that the use of DI water leads to an intensified oxidization on the test surface. HFE-7100 does not allow oxide layer formation on the copper surfaces. Critical heat flux (CHF) at the surface operated only at 60 W/cm2 in DI water increased, while the boiling curves shifted to the left by decreasing surface temperatures over time. The surfaces immersed in HFE-7100 showed a great consistency with preliminary tests on heat transfer and repeatability tests.Deutsche Forschungsgemeinschaf
Blood clotting time measurement using a miniaturized high-frequency ultrasound sensor
No full textThis paper demonstrates a novel blood coagulation time measurement methodology that requires as low as 1 microliter of whole blood. The blood sample is placed on the top surface of a fused quartz plate where an ultrasonic transducer is fabricated on the bottom surface. The location of the blood sample is aligned with the transducer; therefore, the reflected acoustic waves from the blood/quartz interface are captured and converted to electrical signals by the transducer. The transducer is made of an 8 μm thick zinc oxide (ZnO) thin film that operates at 400 MHz. The acoustic impedance of blood changes due to the coagulation process. This affects the reflection coefficient and amplitude of the reflected waves from the blood/quartz interface. Thus, the blood coagulation time is determined by monitoring the amplitude of reflected acoustic waves. In the experiments, whole blood was used without any sample preparation. The method was tested using citrated blood with calcium chloride and activated partial thromboplastin (aPTT) reagents. We observed that aPTT coagulation times lengthened from 25 sec. to 47 sec. with the addition of heparin. The proposed method has the potential to be used in a disposable low-cost portable coagulation time measurement cartridge for patient self-testing
Two-particle azimuthal correlations in γp interactions using pPb collisions at √sNN = 8.16 TeV
No full textThe first measurements of the Fourier coefficients (VnΔ) of the azimuthal distributions of charged hadrons emitted from photon-proton (γp) interactions are presented. The data are extracted from 68.8 nb−1 of ultra-peripheral proton-lead (pPb) collisions at sNN=8.16TeV using the CMS detector. The high energy lead ions produce a flux of photons that can interact with the oncoming proton. This γp system provides a set of unique initial conditions with multiplicity lower than in photon-lead collisions but comparable to recent electron-positron and electron-proton data. The VnΔ coefficients are presented in ranges of event multiplicity and transverse momentum (pT) and are compared to corresponding hadronic minimum bias pPb results. For a given multiplicity range, the mean pT of charged particles is smaller in γp than in pPb collisions. For both the γp and pPb samples, V1Δ is negative, V2Δ is positive, and V3Δ consistent with 0. For each multiplicity and pT range, V2Δ is larger for γp events. The γp data are consistent with model predictions that have no collective effects. © 2023 The Author(s)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).r Individuals have received support from the Marie-Curie program 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
Point of sale Fraud detection methods via machine learning
No full textRestaurant cash registers frequently experience fraudulent transactions, leading to substantial financial losses for operators. Despite several methods aimed at preventing fraud at the cash register, addressing this issue remains an ongoing concern. In this study, machine learning methods are used to detect fraudulent transactions at the cash register in fast-food restaurants. By using POS logs, transactions in restaurants are recorded and these logs are analyzed to detect fraudulent transactions on an unbalanced dataset. Random forest, XGBoost and LGBM algorithms are used in the study and different resampling techniques (ADASYN etc.) are applied to improve the performance of these algorithms. In addition, it is aimed to find the best parameters with the randomized search method. In conclusion, this study offers a solution for detecting fraudulent transactions at the cash register in fast-food restaurants. The results of the study are promising in its current state
Measurement of the top quark mass using a profile likelihood approach with the lepton + jets final states in proton–proton collisions at √s = 13 TeV
No full textThe mass of the top quark is measured in 36.3 fb-1 of LHC proton–proton collision data collected with the CMS detector at s=13TeV . The measurement uses a sample of top quark pair candidate events containing one isolated electron or muon and at least four jets in the final state. For each event, the mass is reconstructed from a kinematic fit of the decay products to a top quark pair hypothesis. A profile likelihood method is applied using up to four observables per event to extract the top quark mass. The top quark mass is measured to be 171.77±0.37GeV . This approach significantly improves the precision over previous measurements.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 Fin land, MEC, and HIP (Finland); CEA and CNRS/IN2P3 (France);
BMBF, DFG, and HGF (Germany); GSRI (Greece); NKFIH (Hun gary); DAE and DST (India); IPM (Iran); SFI (Ireland); INFN (Italy);
MSIP and NRF (Republic of Korea); MES (Latvia); LAS (Lithua nia); 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 (Por tugal); JINR (Dubna); MON, RosAtom, RAS, RFBR, and NRC KI
(Russia); 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, 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 Foun dation; the Belgian Federal Science Policy Office; the Fonds pour
la Formation à 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 (Bel gium) under the “Excellence of Science – EOS” – be.h project n.
30820817; the Beijing Municipal Science and Technology Commis sion, 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 Excel lence Strategy – EXC 2121 “Quantum Universe” – 390833306, and
under project number 400140256 - GRK2497; the Hungarian Academy
of Sciences, the New National Excellence Program - ÚNKP, 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 Fundação para a Ciência e a Tec nologia, grant CEECIND/01334/2018 (Portugal); the National Priori ties Research Program by Qatar National Research Fund; the Ministry
of Science and Higher Education, projects no. 0723-2020-0041 and
no. FSWW-2020-0008 (Russia); MCIN/AEI/10.13039/501100011033,
ERDF “a way of making Europe”, and the Programa Estatal de Fomento
de la Investigación Científica y Técnica de Excelencia María de Maeztu,
grant MDM-2017-0765 and Programa Severo Ochoa del Principado
de Asturias (Spain); the Chulalongkorn Academic into Its 2nd Cen tury 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