Global wealth disparities drive adherence to COVID-safe pathways in head and neck cancer surgery

Peer reviewe

Search for eccentric black hole coalescences during the third observing run of LIGO and Virgo

Despite the growing number of confident binary black hole coalescences observed through gravitational waves so far, the astrophysical origin of these binaries remains uncertain. Orbital eccentricity is one of the clearest tracers of binary formation channels. Identifying binary eccentricity, however, remains challenging due to the limited availability of gravitational waveforms that include effects of eccentricity. Here, we present observational results for a waveform-independent search sensitive to eccentric black hole coalescences, covering the third observing run (O3) of the LIGO and Virgo detectors. We identified no new high-significance candidates beyond those that were already identified with searches focusing on quasi-circular binaries. We determine the sensitivity of our search to high-mass (total mass M>70 M⊙) binaries covering eccentricities up to 0.3 at 15 Hz orbital frequency, and use this to compare model predictions to search results. Assuming all detections are indeed quasi-circular, for our fiducial population model, we place an upper limit for the merger rate density of high-mass binaries with eccentricities 0<e≤0.3 at 0.33 Gpc−3 yr−1 at 90\% confidence level

Search for gravitational-lensing signatures in the full third observing run of the LIGO-Virgo network

Gravitational lensing by massive objects along the line of sight to the source causes distortions of gravitational wave-signals; such distortions may reveal information about fundamental physics, cosmology and astrophysics. In this work, we have extended the search for lensing signatures to all binary black hole events from the third observing run of the LIGO--Virgo network. We search for repeated signals from strong lensing by 1) performing targeted searches for subthreshold signals, 2) calculating the degree of overlap amongst the intrinsic parameters and sky location of pairs of signals, 3) comparing the similarities of the spectrograms amongst pairs of signals, and 4) performing dual-signal Bayesian analysis that takes into account selection effects and astrophysical knowledge. We also search for distortions to the gravitational waveform caused by 1) frequency-independent phase shifts in strongly lensed images, and 2) frequency-dependent modulation of the amplitude and phase due to point masses. None of these searches yields significant evidence for lensing. Finally, we use the non-detection of gravitational-wave lensing to constrain the lensing rate based on the latest merger-rate estimates and the fraction of dark matter composed of compact objects

Ultralight vector dark matter search using data from the KAGRA O3GK run

Among the various candidates for dark matter (DM), ultralight vector DM can be probed by laser interferometric gravitational wave detectors through the measurement of oscillating length changes in the arm cavities. In this context, KAGRA has a unique feature due to differing compositions of its mirrors, enhancing the signal of vector DM in the length change in the auxiliary channels. Here we present the result of a search for U(1)B−L gauge boson DM using the KAGRA data from auxiliary length channels during the first joint observation run together with GEO600. By applying our search pipeline, which takes into account the stochastic nature of ultralight DM, upper bounds on the coupling strength between the U(1)B−L gauge boson and ordinary matter are obtained for a range of DM masses. While our constraints are less stringent than those derived from previous experiments, this study demonstrates the applicability of our method to the lower-mass vector DM search, which is made difficult in this measurement by the short observation time compared to the auto-correlation time scale of DM

A Feasibility Study of Synthesizing Substructures Modeled with Computational Neural Networks

This paper investigates the feasibility of synthesizing substructures modeled with computational neural networks. Substructures are modeled individually with computational neural networks and the response of the assembled structure is predicted by synthesizing the neural networks. A superposition approach is applied to synthesize models for statically determinate substructures while an interface displacement collocation approach is used to synthesize statically indeterminate substructure models. Beam and plate substructures along with components of a complicated Next Generation Space Telescope (NGST) model are used in this feasibility study. In this paper, the limitations and difficulties of synthesizing substructures modeled with neural networks are also discussed

A Feasibility Study of Synthesizing Subsurfaces Modeled with Computational Neural Networks

This paper investigates the feasibility of synthesizing substructures modeled with computational neural networks. Substructures are modeled individually with computational neural networks and the response of the assembled structure is predicted by synthesizing the neural networks. A superposition approach is applied to synthesize models for statically determinate substructures while an interface displacement collocation approach is used to synthesize statically indeterminate substructure models. Beam and plate substructures along with components of a complicated Next Generation Space Telescope (NGST) model are used in this feasibility study. In this paper, the limitations and difficulties of synthesizing substructures modeled with neural networks are also discussed

A Feasibility Study Of Synthesizing Substructures Modeled With Computational Neural Networks

This paper investigates the feasibility of synthesizing substructures modeled with computational neural networks. Substructures are modeled individually with computational neural networks and the response of the assembled structure is predicted by synthesizing the neural networks. A superposition approach is applied to synthesize models for statically determinate substructures while an interface displacement collocation approach is used to synthesize statically indeterminate substructure models. Beam and plate substructures along with components of a complicated Next Generation Space Telescope (NGST) model are used in this feasibility study. In this paper, the limitations and difficulties of synthesizing substructures modeled with neural networks are also discussed. Introduction Virtual product development and real time simulation are two key elements necessary for future immersive design environment [1] in which engineers will be able to create and modify their designs, and the effect..

Metabolic syndrome is associated with similar long-term prognosis in non-obese and obese patients. An analysis of 45 615 patients from the nationwide LIPIDOGRAM 2004-2015 cohort studies

Aims We aimed to evaluate the association between metabolic syndrome (MetS) and long-term all-cause mortality. Methods The LIPIDOGRAM studies were carried out in the primary care in Poland in 2004, 2006 and 2015. MetS was diagnosed based on the National Cholesterol Education Program, Adult Treatment Panel III (NCEP/ATP III) and Joint Interim Statement (JIS) criteria. The cohort was divided into four groups: non-obese patients without MetS, obese patients without MetS, non-obese patients with MetS and obese patients with MetS. Differences in all-cause mortality was analyzed using Kaplan-Meier and Cox regression analyses. Results 45,615 participants were enrolled (mean age 56.3, standard deviation: 11.8 years; 61.7% female). MetS was diagnosed in 14,202 (31%) by NCEP/ATP III criteria, and 17,216 (37.7%) by JIS criteria. Follow-up was available for 44,620 (97.8%, median duration 15.3 years) patients. MetS was associated with increased mortality risk among the obese (hazard ratio, HR: 1.88 [95% CI, 1.79-1.99] and HR: 1.93 [95% CI 1.82-2.04], according to NCEP/ATP III and JIS criteria, respectively) and non-obese individuals (HR: 2.11 [95% CI 1.85-2.40] and 1.7 [95% CI, 1.56-1.85] according to NCEP/ATP III and JIS criteria respectively). Obese patients without MetS had a higher mortality risk than non-obese patients without MetS (HR: 1.16 [95% CI 1.10-1.23] and HR: 1.22 [95%CI 1.15-1.30], respectively in subgroups with NCEP/ATP III and JIS criteria applied). Conclusions MetS is associated with increased all-cause mortality risk in non-obese and obese patients. In patients without MetS obesity remains significantly associated with mortality. The concept of metabolically healthy obesity should be revised

Initial presenting manifestations in 16,486 patients with inborn errors of immunity include infections and noninfectious manifestations

none313siBackground: Inborn errors of immunity (IEI) are rare diseases, which makes diagnosis a challenge. A better description of the initial presenting manifestations should improve awareness and avoid diagnostic delay. Although increased infection susceptibility is a well-known initial IEI manifestation, less is known about the frequency of other presenting manifestations. Objective: We sought to analyze age-related initial presenting manifestations of IEI including different IEI disease cohorts. Methods: We analyzed data on 16,486 patients of the European Society for Immunodeficiencies Registry. Patients with autoinflammatory diseases were excluded because of the limited number registered. Results: Overall, 68% of patients initially presented with infections only, 9% with immune dysregulation only, and 9% with a combination of both. Syndromic features were the presenting feature in 12%, 4% had laboratory abnormalities only, 1.5% were diagnosed because of family history only, and 0.8% presented with malignancy. Two-third of patients with IEI presented before the age of 6 years, but a quarter of patients developed initial symptoms only as adults. Immune dysregulation was most frequently recognized as an initial IEI manifestation between age 6 and 25 years, with male predominance until age 10 years, shifting to female predominance after age 40 years. Infections were most prevalent as a first manifestation in patients presenting after age 30 years. Conclusions: An exclusive focus on infection-centered warning signs would have missed around 25% of patients with IEI who initially present with other manifestations.noneThalhammer J.; Kindle G.; Nieters A.; Rusch S.; Seppanen M.R.J.; Fischer A.; Grimbacher B.; Edgar D.; Buckland M.; Mahlaoui N.; Ehl S.; Boztug K.; Brunner J.; Demel U.F.; Forster-Waldl E.; Gasteiger L.M.; Goschl L.; Kojic M.; Schroll A.; Seidel M.G.; Wintergerst U.; Wisgrill L.; Sharapova S.O.; Goffard J.-C.; Kerre T.; Meyts I.; Roosens F.; Smet J.; Haerynck F.; Eric Z.P.; Milenova V.; Gagro A.; Richter D.; Chovancova Z.; Hlavackova E.; Litzman J.; Milota T.; Sediva A.; Elaziz D.A.; Alkady R.S.; El Sayed El Hawary R.; Eldash A.S.; Galal N.; Lotfy S.; Meshaal S.S.; Reda S.M.; Sobh A.; Elmarsafy A.; Brosselin P.; Courteille V.; De Vergnes N.; Kracker S.; Pergent M.; Randrianomenjanahary P.; Ahrenstorf G.; Albert M.H.; Ankermann T.; Atschekzei F.; Baumann U.; Becker B.C.; Behrends U.; Belohradsky B.H.; Biegner A.-K.; Binder N.; Bode S.F.N.; Boesecke C.; Boetticher B.; Borte M.; Borte S.; Classen C.F.; Dirks J.; Duckers G.; El-Helou S.; Ernst D.; Fasshauer M.; Fecker G.; Felgentreff K.; Foell D.; Ghosh S.; Girschick H.J.; Goldacker S.; Graf N.; Graf D.; Greil J.; Hanitsch L.G.; Hauck F.; Heeg M.; Heine S.I.; Henes J.C.; Hoenig M.; Holzer U.; Holzinger D.; Horneff G.; Hundsdoerfer P.; Jablonka A.; Jakoby D.; Joean O.; Kaiser-Labusch P.; Klemann C.; Kobbe R.; Korholz J.; Kramm C.M.; Kruger R.; Landwehr-Kenzel S.; Lehmberg K.; Liese J.G.; Lippert C.F.; Maccari M.E.; Masjosthusmann K.; Meinhardt A.; Metzler M.; Morbach H.; Muller I.; Naumann-Bartsch N.; Neubert J.; Niehues T.; Peter H.-H.; Rieber N.; Ritterbusch H.; Rockstroh J.K.; Roesler J.; Schauer U.; Scheible R.; Schmalzing M.; Schmidt R.E.; Schneider D.T.; Schreiber S.; Schuetz C.; Schulz A.; Schulze-Koops H.; Schulze-Sturm U.; Schuster V.; Schwaneck E.C.; Schwarz K.; Schwarze-Zander C.; Sirin M.; Skapenko A.; Sogkas G.; Sparber-Sauer M.; Speckmann C.; Steinmann S.; Stiehler S.; Tenbrock K.; von Bernuth H.; Warnatz K.; Wasmuth J.-C.; Weiss M.; Witte T.; Wittke K.; Wittkowski H.; Zeuner R.A.; Farmaki E.; Hatzistilianou M.N.; Kakkas I.; Kanariou M.G.; Kapousouzi A.; Liatsis E.; Maggina P.; Papadopoulou-Alataki E.; Raptaki M.; Speletas M.; Tantou S.; Goda V.; Krivan G.; Marodi L.; Abolhassani H.; Aghamohammadi A.; Rezaei N.; Feighery C.; Leahy T.R.; Ryan P.; Batzir N.A.; Garty B.Z.; Tamary H.; Aiuti A.; Amodio D.; Azzari C.; Barzaghi F.; Baselli L.A.; Cancrini C.; Carrabba M.; Cazzaniga M.; Cesaro S.; Chinello M.; Danieli M.G.; Dellepiane R.M.; Fabio G.; Gambineri E.; Lodi L.; Lougaris V.; Marasco C.; Martire B.; Marzollo A.; Milito C.; Moschese V.; Pignata C.; Plebani A.; Porta F.; Quinti I.; Ricci S.; Soresina A.; Tommasini A.; Vacca A.; Vanessa C.; Blaziene A.; Sitkauskiene B.; Gowin E.; Heropolitanska-Pliszka E.; Pietrucha B.; Szaflarska A.; Wiesik-Szewczyk E.; Wolska-Kusnierz B.; Esteves I.; Faria E.; Marques L.H.; Neves J.F.; Silva S.L.; Teixeira C.; Pereira da Silva S.; Capilna B.R.; Guseva M.N.; Shcherbina A.; Bobcakova A.; Ciznar P.; Gabzdilova J.; Jesenak M.; Kapustova L.; Orosova J.; Petrovicova O.; Raffac S.; Kopac P.; Allende L.M.; Antoli A.; Blanch G.R.; Carbone J.; Dieli-Crimi R.; Garcia-Prat M.; Gil-Herrera J.; Gonzalez-Granado L.I.; Agullo P.L.; Olbrich P.; Parra-Martinez A.; Paz-Artal E.; Pleguezuelo D.E.; Rodriguez N.S.; Sanchez-Ramon S.; Santos-Perez J.L.; Solanich X.; Soler-Palacin P.; Gonzalez-Amores M.; Ekwall O.; Fasth A.; Bitzenhofer-Gruber M.; Candotti F.; Dimitriou F.; Heininger U.; Holbro A.; Jandus P.; Kolios A.G.A.; Marschall K.; Schmid J.P.; Posfay-Barbe K.M.; Prader S.; Reichenbach J.; Steiner U.C.; Truck J.; Bredius R.G.; de Kruijf- Bazen S.; de Vries E.; Henriet S.S.V.; Kuijpers T.W.; Potjewijd J.; Rutgers A.; Stol K.; van Aerde K.J.; Van den Berg J.M.; van de Ven A.A.J.M.; Montfrans J.; Aydemir S.; Baris S.; Dogu F.; Ikinciogullari A.; Karakoc-Aydiner E.; Kilic S.S.; Kiykim A.; Kokcu Karadag S.I.; Kutukculer N.; Ocak S.; UNAL E.; Boyarchuk O.; Hilfanova A.; Kostyuchenko L.V.; Alachkar H.; Arkwright P.D.; Baxendale H.E.; Bernatoniene J.; Coulter T.I.; Garcez T.; Goddard S.; Gompels M.M.; Grigoriadou S.; Herriot R.; Herwadkar A.; Huissoon A.; Ibberson L.; Nademi Z.; Noorani S.; Parvin S.; Steele C.L.; Thomas M.; Waruiru C.; Yong P.F.K.; Bourne H.Thalhammer, J.; Kindle, G.; Nieters, A.; Rusch, S.; Seppanen, M. R. J.; Fischer, A.; Grimbacher, B.; Edgar, D.; Buckland, M.; Mahlaoui, N.; Ehl, S.; Boztug, K.; Brunner, J.; Demel, U. F.; Forster-Waldl, E.; Gasteiger, L. M.; Goschl, L.; Kojic, M.; Schroll, A.; Seidel, M. G.; Wintergerst, U.; Wisgrill, L.; Sharapova, S. O.; Goffard, J. -C.; Kerre, T.; Meyts, I.; Roosens, F.; Smet, J.; Haerynck, F.; Eric, Z. P.; Milenova, V.; Gagro, A.; Richter, D.; Chovancova, Z.; Hlavackova, E.; Litzman, J.; Milota, T.; Sediva, A.; Elaziz, D. A.; Alkady, R. S.; El Sayed El Hawary, R.; Eldash, A. S.; Galal, N.; Lotfy, S.; Meshaal, S. S.; Reda, S. M.; Sobh, A.; Elmarsafy, A.; Brosselin, P.; Courteille, V.; De Vergnes, N.; Kracker, S.; Pergent, M.; Randrianomenjanahary, P.; Ahrenstorf, G.; Albert, M. H.; Ankermann, T.; Atschekzei, F.; Baumann, U.; Becker, B. C.; Behrends, U.; Belohradsky, B. H.; Biegner, A. -K.; Binder, N.; Bode, S. F. N.; Boesecke, C.; Boetticher, B.; Borte, M.; Borte, S.; Classen, C. F.; Dirks, J.; Duckers, G.; El-Helou, S.; Ernst, D.; Fasshauer, M.; Fecker, G.; Felgentreff, K.; Foell, D.; Ghosh, S.; Girschick, H. J.; Goldacker, S.; Graf, N.; Graf, D.; Greil, J.; Hanitsch, L. G.; Hauck, F.; Heeg, M.; Heine, S. I.; Henes, J. C.; Hoenig, M.; Holzer, U.; Holzinger, D.; Horneff, G.; Hundsdoerfer, P.; Jablonka, A.; Jakoby, D.; Joean, O.; Kaiser-Labusch, P.; Klemann, C.; Kobbe, R.; Korholz, J.; Kramm, C. M.; Kruger, R.; Landwehr-Kenzel, S.; Lehmberg, K.; Liese, J. G.; Lippert, C. F.; Maccari, M. E.; Masjosthusmann, K.; Meinhardt, A.; Metzler, M.; Morbach, H.; Muller, I.; Naumann-Bartsch, N.; Neubert, J.; Niehues, T.; Peter, H. -H.; Rieber, N.; Ritterbusch, H.; Rockstroh, J. K.; Roesler, J.; Schauer, U.; Scheible, R.; Schmalzing, M.; Schmidt, R. E.; Schneider, D. T.; Schreiber, S.; Schuetz, C.; Schulz, A.; Schulze-Koops, H.; Schulze-Sturm, U.; Schuster, V.; Schwaneck, E. C.; Schwarz, K.; Schwarze-Zander, C.; Sirin, M.; Skapenko, A.; Sogkas, G.; Sparber-Sauer, M.; Speckmann, C.; Steinmann, S.; Stiehler, S.; Tenbrock, K.; von Bernuth, H.; Warnatz, K.; Wasmuth, J. -C.; Weiss, M.; Witte, T.; Wittke, K.; Wittkowski, H.; Zeuner, R. A.; Farmaki, E.; Hatzistilianou, M. N.; Kakkas, I.; Kanariou, M. G.; Kapousouzi, A.; Liatsis, E.; Maggina, P.; Papadopoulou-Alataki, E.; Raptaki, M.; Speletas, M.; Tantou, S.; Goda, V.; Krivan, G.; Marodi, L.; Abolhassani, H.; Aghamohammadi, A.; Rezaei, N.; Feighery, C.; Leahy, T. R.; Ryan, P.; Batzir, N. A.; Garty, B. Z.; Tamary, H.; Aiuti, A.; Amodio, D.; Azzari, C.; Barzaghi, F.; Baselli, L. A.; Cancrini, C.; Carrabba, M.; Cazzaniga, M.; Cesaro, S.; Chinello, M.; Danieli, M. G.; Dellepiane, R. M.; Fabio, G.; Gambineri, E.; Lodi, L.; Lougaris, V.; Marasco, C.; Martire, B.; Marzollo, A.; Milito, C.; Moschese, V.; Pignata, C.; Plebani, A.; Porta, F.; Quinti, I.; Ricci, S.; Soresina, A.; Tommasini, A.; Vacca, A.; Vanessa, C.; Blaziene, A.; Sitkauskiene, B.; Gowin, E.; Heropolitanska-Pliszka, E.; Pietrucha, B.; Szaflarska, A.; Wiesik-Szewczyk, E.; Wolska-Kusnierz, B.; Esteves, I.; Faria, E.; Marques, L. H.; Neves, J. F.; Silva, S. L.; Teixeira, C.; Pereira da Silva, S.; Capilna, B. R.; Guseva, M. N.; Shcherbina, A.; Bobcakova, A.; Ciznar, P.; Gabzdilova, J.; Jesenak, M.; Kapustova, L.; Orosova, J.; Petrovicova, O.; Raffac, S.; Kopac, P.; Allende, L. M.; Antoli, A.; Blanch, G. R.; Carbone, J.; Dieli-Crimi, R.; Garcia-Prat, M.; Gil-Herrera, J.; Gonzalez-Granado, L. I.; Agullo, P. L.; Olbrich, P.; Parra-Martinez, A.; Paz-Artal, E.; Pleguezuelo, D. E.; Rodriguez, N. S.; Sanchez-Ramon, S.; Santos-Perez, J. L.; Solanich, X.; Soler-Palacin, P.; Gonzalez-Amores, M.; Ekwall, O.; Fasth, A.; Bitzenhofer-Gruber, M.; Candotti, F.; Dimitriou, F.; Heininger, U.; Holbro, A.; Jandus, P.; Kolios, A. G. A.; Marschall, K.; Schmid, J. P.; Posfay-Barbe, K. M.; Prader, S.; Reichenbach, J.; Steiner, U. C.; Truck, J.; Bredius, R. G.; de Kruijf- Bazen, S.; de Vries, E.; Henriet, S. S. V.; Kuijpers, T. W.; Potjewijd, J.; Rutgers, A.; Stol, K.; van Aerde, K. J.; Van den Berg, J. M.; van de Ven, A. A. J. M.; Montfrans, J.; Aydemir, S.; Baris, S.; Dogu, F.; Ikinciogullari, A.; Karakoc-Aydiner, E.; Kilic, S. S.; Kiykim, A.; Kokcu Karadag, S. I.; Kutukculer, N.; Ocak, S.; Unal, E.; Boyarchuk, O.; Hilfanova, A.; Kostyuchenko, L. V.; Alachkar, H.; Arkwright, P. D.; Baxendale, H. E.; Bernatoniene, J.; Coulter, T. I.; Garcez, T.; Goddard, S.; Gompels, M. M.; Grigoriadou, S.; Herriot, R.; Herwadkar, A.; Huissoon, A.; Ibberson, L.; Nademi, Z.; Noorani, S.; Parvin, S.; Steele, C. L.; Thomas, M.; Waruiru, C.; Yong, P. F. K.; Bourne, H