Objective: Psoriatic arthritis mutilans (PAM) is the most severe phenotype of psoriatic arthritis due to excessive bone erosion causing joint destruction and decreased functional capacity. The aim of this study was to investigate the prevalence of comorbidities among patients with PAM and the association between comorbidities and joint involvement.Methods: A total of 66 patients aged ≥18 years from the Nordic countries with past or present psoriasis along with at least one mutilated joint were included in the present study.Results: The median number of comorbid conditions per patient was 1 [interquartile range (IQR) 0–2] and 16.7% reported three or more comorbidities. The most frequent comorbidity was hypertension (36.4%). The median number of mutilated joints per patient was 3 (IQR 1–8.3; range 1–38).Conclusion: Two thirds of the patients with PAM reported comorbid conditions and the most frequent was hypertension which affected more than a third of the patients. However, this study was unable to detect any association between comorbidities and the severity of PAM.
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gold |
citations | 4 | |
popularity | Top 10% | |
influence | Average | |
impulse | Average |
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handle: 10419/272572
This paper estimates family spillovers in high school major choice in Sweden, where admission to oversubscribed majors is determined based on GPA. Using a regression discontinuity design, we find large sibling and intergenerational spillovers that depend on the sex mix of a dyad. Same-sex siblings copy one another, while younger brothers recoil from an older sister’s choices. Fathers and mothers influence sons but not their daughters, except when a mother majors in the male-dominated program of engineering. Back-of-the-envelope calculations reveal that these within-family spillovers have sizable implications for the sex composition of majors. (JEL I21, J12, J13, J16)
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citations | 0 | |
popularity | Average | |
influence | Average | |
impulse | Average |
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citations | 0 | |
popularity | Average | |
influence | Average | |
impulse | Average |
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doi: 10.1007/jhep08(2018)048 , 10.3204/pubdb-2017-13283 , 10.48550/arxiv.1806.01762 , 10.7892/boris.129039 , 10.3204/pubdb-2018-00366 , 10.3204/pubdb-2018-04527 , 10.48550/arxiv.1707.03347 , 10.3204/pubdb-2018-04549
handle: 1822/48943 , 1822/57534 , 11585/665753 , 11585/623380 , 11587/425102 , 11588/742838 , 11568/1164382 , 11568/951392 , 11568/892841 , 11567/933248 , 11567/933480 , 11367/65814 , 11590/337946 , 11590/329761 , 2108/191141 , 11390/1165104 , 11390/1122695 , 11572/223811 , 11572/223607 , 20.500.11820/a642c223-1340-485e-9e52-6dcafe54f2a1 , 10400.26/27390 , 10400.26/27659 , 20.500.11770/268311 , 10481/57945 , 2434/671425 , 2434/550264 , 2066/194761 , 10852/66055 , 20.500.11851/9366 , 20.500.11851/3619 , 11245.1/2b0558eb-dbda-4096-8f96-40cd436f1acd , 11245.1/e98221f7-5621-44ac-b678-897f460a1d5b , https://repository.ubn.ru.nl/handle/2066/178943 , https://repository.ubn.ru.nl/handle/2066/194761
doi: 10.1007/jhep08(2018)048 , 10.3204/pubdb-2017-13283 , 10.48550/arxiv.1806.01762 , 10.7892/boris.129039 , 10.3204/pubdb-2018-00366 , 10.3204/pubdb-2018-04527 , 10.48550/arxiv.1707.03347 , 10.3204/pubdb-2018-04549
handle: 1822/48943 , 1822/57534 , 11585/665753 , 11585/623380 , 11587/425102 , 11588/742838 , 11568/1164382 , 11568/951392 , 11568/892841 , 11567/933248 , 11567/933480 , 11367/65814 , 11590/337946 , 11590/329761 , 2108/191141 , 11390/1165104 , 11390/1122695 , 11572/223811 , 11572/223607 , 20.500.11820/a642c223-1340-485e-9e52-6dcafe54f2a1 , 10400.26/27390 , 10400.26/27659 , 20.500.11770/268311 , 10481/57945 , 2434/671425 , 2434/550264 , 2066/194761 , 10852/66055 , 20.500.11851/9366 , 20.500.11851/3619 , 11245.1/2b0558eb-dbda-4096-8f96-40cd436f1acd , 11245.1/e98221f7-5621-44ac-b678-897f460a1d5b , https://repository.ubn.ru.nl/handle/2066/178943 , https://repository.ubn.ru.nl/handle/2066/194761
Abstract A search is presented for the pair production of heavy vector-like B quarks, primarily targeting B quark decays into a W boson and a top quark. The search is based on 36.1 fb−1 of pp collisions at $$ \sqrt{s}=13 $$ s = 13 TeV recorded in 2015 and 2016 with the ATLAS detector at the CERN Large Hadron Collider. Data are analysed in the lepton-plus-jets final state, characterised by a high-transverse-momentum isolated electron or muon, large missing transverse momentum, and multiple jets, of which at least one is b-tagged. No significant deviation from the Standard Model expectation is observed. The 95% confidence level lower limit on the B mass is 1350 GeV assuming a 100% branching ratio to Wt. In the SU(2) singlet scenario, the lower mass limit is 1170 GeV. The 100% branching ratio limits are found to be also applicable to heavy vector-like X production, with charge +5/3, that decay into Wt. This search is also sensitive to a heavy vector-like B quark decaying into other final states (Zb and Hb) and thus mass limits on B production are set as a function of the decay branching ratios.
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Green | |
gold |
citations | 30 | |
popularity | Top 10% | |
influence | Average | |
impulse | Top 10% |
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Group-based control is an advanced traffic signal strategy capable of dynamically generating phase sequences at intersections. Combined with the phasing scheme, vehicle actuated timing is often adopted to respond to the detected traffic. However, the parameters of a signal controller are often predetermined in practice, and the control performance may suffer from deterioration when dealing with highly fluctuating traffic demand. This study proposes a group-based signal control approach capable of making decisions based on its understanding of traffic conditions at the intersection level. In particular, the control problem is formulated using a framework of stochastic optimal control for multi-agent system in which each signal group is modeled as an intelligent agent. The agents learn how to react to traffic environment and make optimal timing decisions according to the perceived system states. Reinforcement learning, enhanced by multiple-step backups, is employed as the kernel of the intelligent control algorithm, where each agent updates its knowledge on-line based on a sequence of states during the process. In addition, the proposed system is designated to be compatible with the prevailing signal system. A case study was carried out in a simulation environment to compare the proposed control approach with a benchmark controller used in practice, group-based vehicle actuated (GBVA) controller, whose parameters were off-line optimized using a genetic algorithm. Simulation results show that the proposed adaptive group-based control system outperforms the optimized GBVA control system mainly because of its real-time adaptive learning capacity in response to the changes in traffic demand. QC 20180514
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