Sowing the seeds of doubt: a narrative review on metacognitive training in schizophrenia

Abstract not availableSteffen Moritz, Christina Andreou, Brooke C. Schneider, Charlotte E. Wittekind, Mahesh Menon, Ryan P. Balzan, Todd S. Woodwar

A Simple Asymptotic Analysis of Residual-Based Statistics

What s the asymptotic null distribution of a rank-based serial autocorrelation test applied to residuals of an estimated GARCH model?What s the limiting distribution of estimated ACD parameters applied to the residuals of some first-stage modelling procedure?This paper addresses the often occurring situation in econometrics of applying standard statistics to residuals instead of innovations.The paper provides a simple and unified way of calculating the necessary adjustment in the limiting distribution, be it of tests or estimators. On the technical side, we also provide a novel approach to this problem using Le Cam s theory of convergence of experiments (in this paper restricted to Gaussian shift experiments).The resulting formula is simple and the regularity conditions required fairly minimal.Numerous examples show the strength and wide applicability of our approach.statistics;estimation;ranking

Direct photon elliptic flow in Pb-Pb collisions at root s(NN)=2.76 TeV

The elliptic flow of inclusive and direct photons was measured at mid-rapidity in two centrality classes 0-20% and 20-40% in Pb-Pb collisions at root s(NN) = 2.76 TeV by ALICE. Photons were detected with the highly segmented electromagnetic calorimeter PHOS and via conversions in the detector material with the e(broken vertical bar)e pairs reconstructed in the central tracking system. The results of the two methods were combined and the direct-photon elliptic flow was extracted in the transverse momentum range 0.9 < p(T) < 6.2 GeV/c. A comparison to RHIC data shows a similar magnitude of the measured direct-photon elliptic flow. Hydrodynamic and transport model calculations are systematically lower than the data, but are found to be compatible. (C) 2018 The Author. Published by Elsevier B.V.Peer reviewe

Extensions and applications of a second-order landsurface parameterization

Extensions and applications of a second order land surface parameterization, proposed by Andreou and Eagleson are developed. Procedures for evaluating the near surface storage depth used in one cell land surface parameterizations are suggested and tested by using the model. Sensitivity analysis to the key soil parameters is performed. A case study involving comparison with an "exact" numerical model and another simplified parameterization, under very dry climatic conditions and for two different soil types, is also incorporated

A spatial contrast retina with on-chip calibration for neuromorphic spike-based AER vision systems

We present a 32 32 pixels contrast retina microchip that provides its output as an address event representation (AER) stream. Spatial contrast is computed as the ratio between pixel photocurrent and a local average between neighboring pixels obtained with a diffuser network. This current-based computation produces an important amount of mismatch between neighboring pixels, because the currents can be as low as a few pico-amperes. Consequently, a compact calibration circuitry has been included to trimm each pixel. Measurements show a reduction in mismatch standard deviation from 57% to 6.6% (indoor light). The paper describes the design of the pixel with its spatial contrast computation and calibration sections. About one third of pixel area is used for a 5-bit calibration circuit. Area of pixel is 58 m 56 m, while its current consumption is about 20 nA at 1-kHz event rate. Extensive experimental results are provided for a prototype fabricated in a standard 0.35- m CMOS process.Gobierno de España TIC2003-08164-C03-01, TEC2006-11730-C03-01European Union IST-2001-3412

Estimating quadratic variation using realised volatility

This paper looks at some recent work on estimating quadratic variation using realised volatility (RV) - that is sums of M squared returns. When the underlying process is a semimartingale we recall the fundamental result that RV is a consistent estimator of quadratic variation (QV). We express concern that without additonal assumptions it seems difficult to given any measure of uncertainty of the RV in this context. The position dramatically changes when we work with a rather general SV model - which is a special case of the semimartingale model. Then QV is integrated volatility and we can derive the asymptotic distribution of the RV and its rate of convergence. These results do not require us to specify a model for either the drift or volatility functions, although we have to impose some weak regularity assumptions. We illustrate the use of the limit theory on some exchange rate data. We show that even with the large values of M and RV is sometimes a quite noisy estimator of integrated volatilityPower variation; Quadratic variation; Realised volatility; Semimartingale; Volatility.

Cognitive subtypes in recent onset psychosis: distinct neurobiological fingerprints?

133In schizophrenia, neurocognitive subtypes can be distinguished based on cognitive performance and they are associated with neuroanatomical alterations. We investigated the existence of cognitive subtypes in shortly medicated recent onset psychosis patients, their underlying gray matter volume patterns and clinical characteristics. We used a K-means algorithm to cluster 108 psychosis patients from the multi-site EU PRONIA (Prognostic tools for early psychosis management) study based on cognitive performance and validated the solution independently (N = 53). Cognitive subgroups and healthy controls (HC; n = 195) were classified based on gray matter volume (GMV) using Support Vector Machine classification. A cognitively spared (N = 67) and impaired (N = 41) subgroup were revealed and partially independently validated (Nspared = 40, Nimpaired = 13). Impaired patients showed significantly increased negative symptomatology (pfdr = 0.003), reduced cognitive performance (pfdr < 0.001) and general functioning (pfdr < 0.035) in comparison to spared patients. Neurocognitive deficits of the impaired subgroup persist in both discovery and validation sample across several domains, including verbal memory and processing speed. A GMV pattern (balanced accuracy = 60.1%, p = 0.01) separating impaired patients from HC revealed increases and decreases across several fronto-temporal-parietal brain areas, including basal ganglia and cerebellum. Cognitive and functional disturbances alongside brain morphological changes in the impaired subgroup are consistent with a neurodevelopmental origin of psychosis. Our findings emphasize the relevance of tailored intervention early in the course of psychosis for patients suffering from the likely stronger neurodevelopmental character of the disease.openopenWenzel J.; Haas S.S.; Dwyer D.B.; Ruef A.; Oeztuerk O.F.; Antonucci L.A.; von Saldern S.; Bonivento C.; Garzitto M.; Ferro A.; Paolini M.; Blautzik J.; Borgwardt S.; Brambilla P.; Meisenzahl E.; Salokangas R.K.R.; Upthegrove R.; Wood S.J.; Kambeitz J.; Koutsouleris N.; Kambeitz-Ilankovic L.; Sen Dong M.; Erkens A.; Gussmann E.; Haas S.; Hasan A.; Hoff C.; Khanyaree I.; Melo A.; Muckenhuber-Sternbauer S.; Kohler J.; Oeztuerk O.F.; Popovic D.; Penzel N.; Rangnick A.; von Saldern S.; Sanfelici R.; Spangemacher M.; Tupac A.; Urquijo M.F.; Weiske J.; Wosgien A.; Ruhrmann S.; Rosen M.; Betz L.; Haidl T.; Blume K.; Seves M.; Kaiser N.; Pilgram T.; Lichtenstein T.; Woopen C.; Borgwardt S.; Andreou C.; Egloff L.; Harrisberger F.; Lenz C.; Leanza L.; Mackintosh A.; Smieskova R.; Studerus E.; Walter A.; Widmayer S.; Chisholm K.; Day C.; Griffiths S.L.; Iqbal M.; Lalousis P.; Pelton M.; Mallikarjun P.; Stainton A.; Lin A.; Denissoff A.; Ellila A.; Tiina From R.N.; Heinimaa M.; Ilonen T.; Jalo P.; Heikki Laurikainen R.N.; Lehtinen M.; Antti Luutonen R.N.; Makela A.; Paju J.; Pesonen H.; Armio (Saila) R.-L.; Sormunen E.; Toivonen A.; Turtonen O.; Solana A.B.; Abraham M.; Hehn N.; Schirmer T.; Altamura C.; Belleri M.; Bottinelli F.; Re M.; Monzani E.; Percudani M.; Sberna M.; D'Agostino A.; Del Fabro L.; Menni V.S.B.; Perna G.; Nobile M.; Alciati A.; Balestrieri M.; Cabras G.; Fabbro F.; Piccin S.; Bertolino A.; Blasi G.; Antonucci L.A.; Pergola G.; Caforio G.; Faio L.; Quarto T.; Gelao B.; Romano R.; Andriola I.; Falsetti A.; Barone M.; Passatiore R.; Sangiuliano M.; Lencer R.; Surman M.; Bienek O.; Romer G.; Dannlowski U.; Schultze-Lutter F.; Schmidt-Kraepelin C.; Neufang S.; Korda A.; Rohner H.Wenzel, J.; Haas, S. S.; Dwyer, D. B.; Ruef, A.; Oeztuerk, O. F.; Antonucci, L. A.; von Saldern, S.; Bonivento, C.; Garzitto, M.; Ferro, A.; Paolini, M.; Blautzik, J.; Borgwardt, S.; Brambilla, P.; Meisenzahl, E.; Salokangas, R. K. R.; Upthegrove, R.; Wood, S. J.; Kambeitz, J.; Koutsouleris, N.; Kambeitz-Ilankovic, L.; Sen Dong, M.; Erkens, A.; Gussmann, E.; Haas, S.; Hasan, A.; Hoff, C.; Khanyaree, I.; Melo, A.; Muckenhuber-Sternbauer, S.; Kohler, J.; Oeztuerk, O. F.; Popovic, D.; Penzel, N.; Rangnick, A.; von Saldern, S.; Sanfelici, R.; Spangemacher, M.; Tupac, A.; Urquijo, M. F.; Weiske, J.; Wosgien, A.; Ruhrmann, S.; Rosen, M.; Betz, L.; Haidl, T.; Blume, K.; Seves, M.; Kaiser, N.; Pilgram, T.; Lichtenstein, T.; Woopen, C.; Borgwardt, S.; Andreou, C.; Egloff, L.; Harrisberger, F.; Lenz, C.; Leanza, L.; Mackintosh, A.; Smieskova, R.; Studerus, E.; Walter, A.; Widmayer, S.; Chisholm, K.; Day, C.; Griffiths, S. L.; Iqbal, M.; Lalousis, P.; Pelton, M.; Mallikarjun, P.; Stainton, A.; Lin, A.; Denissoff, A.; Ellila, A.; Tiina From, R. N.; Heinimaa, M.; Ilonen, T.; Jalo, P.; Heikki Laurikainen, R. N.; Lehtinen, M.; Antti Luutonen, R. N.; Makela, A.; Paju, J.; Pesonen, H.; Armio (Saila), R. -L.; Sormunen, E.; Toivonen, A.; Turtonen, O.; Solana, A. B.; Abraham, M.; Hehn, N.; Schirmer, T.; Altamura, C.; Belleri, M.; Bottinelli, F.; Re, M.; Monzani, E.; Percudani, M.; Sberna, M.; D'Agostino, A.; Del Fabro, L.; Menni, V. S. B.; Perna, G.; Nobile, M.; Alciati, A.; Balestrieri, M.; Cabras, G.; Fabbro, F.; Piccin, S.; Bertolino, A.; Blasi, G.; Antonucci, L. A.; Pergola, G.; Caforio, G.; Faio, L.; Quarto, T.; Gelao, B.; Romano, R.; Andriola, I.; Falsetti, A.; Barone, M.; Passatiore, R.; Sangiuliano, M.; Lencer, R.; Surman, M.; Bienek, O.; Romer, G.; Dannlowski, U.; Schultze-Lutter, F.; Schmidt-Kraepelin, C.; Neufang, S.; Korda, A.; Rohner, H

Measuring (KSK +/-)-K-0 interactions using pp collisions at root s=7 TeV

We present the first measurements of femtoscopic correlations between the K-S(0) and K-+/- particles in pp collisions at root s = 7 TeV measured by the ALICE experiment. The observed femtoscopic correlations are consistent with final-state interactions proceeding solely via the a(0)(980) resonance. The extracted kaon source radius and correlation strength parameters for (KSK-)-K-0 are found to be equal within the experimental uncertainties to those for (KSK+)-K-0. Results of the present study are compared with those from identical-kaon femtoscopic studies also performed with pp collisions at root s = 7 TeV by ALICE and with a (KSK +/-)-K-0 measurement in Pb-Pb collisions at root s(NN) = 2.76 TeV. Combined with the Pb-Pb results, our pp analysis is found to be compatible with the interpretation of the a (980) having a tetraquark structure instead of that of a diquark. (C) 2018 Published by Elsevier B.V.Peer reviewe