Na 1 Nachlass Max Horkheimer, 55 - Korrespondenzen u.a. mit Julien Wavrinek und Walter Benjamin (p. I 26, 1-130)

2 Briefe zwischen Marga Wadsack und Max Horkheimer, 24.08.1937, 29.08.1937; 1 Brief von Gloria H. Wagner an Max Horkheimer, 27.12.1948; 1 Brief von Herta Wagner an Leo Löwenthal, 05.06.1936; 3 Brief und 1 Beilage zwischen Herta Wagner, 12.03.1936, 1936; 8 Brief zwischen Katja Walch-Lux und Max Horkheimer, 1934-1938; 2 Brief zwischen K. Walcher und Max Horkheimer, 07.08.1936, 04.09.1936 sowie Bemerkungen zum Brief von Max Horkheimer; 2 Briefe zwischen Morris Waldman und Max Horkheimer, 17.04.1940, 11.05.1940; 6 Briefe zwischen Sidney Wallach und Max Horkheimer, 1940; 2 Briefe von Max Horkheimer an Waldman; 2 Briefe von Max Horkheimer an Landau; 1 Brief Max Horkheimer an Warburg; 1 Brief von Hans Wallenberg an Leo Löwenthal, 06.05.1940; 1 Brief von Willard W. Waller an Franz Neumann, 28.04.1941; 2 Briefe und 1 Beilage zwischen Hans Waloschek und Max Horkheimer, 04.08.1938, 31.08.1938; 4 Briefe und 2 Beilagen zwischen Emil J. Walter und Max Horkheimer, 1937, 1938; 5 Briefe und 1 Beilage zwischen Hilde Walter und Max Horkheimer, 1937, 1945; 1 Brief von Rose Walter an Max Horkheimer, 16.11.1938; 2 Briefe zwischen Yu-Chuan Wang und Max Horkheimer, 12.10.1936, 09.12.1936; 1 Brief von Rike Wankmüller-Freyh an Max Horkheimer, 06.07.1949; 1 Brief von Ilse Bach an Heinz Wartenberg, 11.11.1940; 1 Brief von Heinz Wartenberg an Richard Bach, 07.02.1941; 1 Brief von Max Horkheimer an Heinz Wartenberg, 11.03.1941; 1 Brief von Richard Bach an Max Horkheimer; 1 Brief von Franz und Hilde Wasem an Max Horkheimer, 16.02.1949; 5 Briefe zwischen Goodwin Watson und Franz Neumann, 1941; 11 Briefe und Notizen zwischen Julien Wavrinek und Max Horkheimer, 1938-1940; 1 Brief von Max Horkheimer an M. Bruhat; 2 Briefe von Max Horkheimer an Walter Benjamin, 03.05.1940;

Der Jüdische Kipper und Auffwechßler

Bibliogr. Nachweise: Drugulin 1553; Harms I,168; Paas P-912

Comparing the factorial structure, invariance, and predictive validity of transtheoretical model constructs for alcohol use across restricted and unrestricted settings

With substance abuse treatment expanding in prisons and jails, understanding how behavior change interacts with a restricted setting becomes more essential. The Transtheoretical Model (TTM) has been used to understand intentional behavior change in unrestricted settings, however, evidence indicates restrictive settings can affect the measurement and structure of the TTM constructs. The present study examined data from problem drinkers at baseline and end-of-treatment from three studies: (1) Project CARE (n = 187) recruited inmates from a large county jail; (2) Project Check-In (n = 116) recruited inmates from a state prison; (3) Project MATCH, a large multi-site alcohol study had two recruitment arms, aftercare (n = 724 pre-treatment and 650 post-treatment) and outpatient (n = 912 pre-treatment and 844 post-treatment). The analyses were conducted using cross-sectional data to test for non-invariance of measures of the TTM constructs: readiness, confidence, temptation, and processes of change (Structural Equation Modeling, SEM) across restricted and unrestricted settings. Two restricted (jail and aftercare) and one unrestricted group (outpatient) entering treatment and one restricted (prison) and two unrestricted groups (aftercare and outpatient) at end-of-treatment were contrasted. In addition TTM end-of-treatment profiles were tested as predictors of 12 month drinking outcomes (Profile Analysis). Although SEM did not indicate structural differences in the overall TTM construct model across setting types, there were factor structure differences on the confidence and temptation constructs at pre-treatment and in the factor structure of the behavioral processes at the end-of-treatment. For pre-treatment temptation and confidence, differences were found in the social situations factor loadings and in the variance for the confidence and temptation latent factors. For the end-of-treatment behavioral processes, differences across the restricted and unrestricted settings were identified in the counter-conditioning and stimulus control factor loadings. The TTM end-of-treatment profiles were not predictive of drinking outcomes in the prison sample. Both pre and post-treatment differences in structure across setting types involved constructs operationalized with behaviors that are limited for those in restricted settings. These studies suggest the TTM is a viable model for explicating addictive behavior change in restricted settings but calls for modification of subscale items that refer to specific behaviors and caution in interpreting the mean differences across setting types for problem drinkers. ^

Solar radiation over and under sea ice and photographic quantification of Ice algal aggregates during the POLARSTERN cruise ARK-XXVII/3 (IceArc) in summer 2012

The ice cover of the Arctic Ocean has been changing dramatically in the last decades and the consequences for the sea-ice associated ecosystem remain difficult to assess. Algal aggregates underneath sea ice have been described sporadically but the frequency and distribution of their occurrence is not well quantified. We used upward looking images obtained by a remotely operated vehicle (ROV) to derive estimates of ice algal aggregate biomass and to investigate their spatial distribution. During the IceArc expedition (ARK-XXVII/3) of RV Polarstern in late summer 2012, different types of algal aggregates were observed floating underneath various ice types in the Central Arctic basins. Our results show that the floe scale distribution of algal aggregates in late summer is very patchy and determined by the topography of the ice underside, with aggregates collecting in dome shaped structures and at the edges of pressure ridges. The buoyancy of the aggregates was also evident from analysis of the aggregate size distribution. Different approaches used to estimate aggregate biomass yield a wide range of results. This highlights that special care must be taken when upscaling observations and comparing results from surveys conducted using different methods or on different spatial scales.

Solar irradiance over and under seasonal land-fast sea ice off Barrow, Alaska, in 2010

The amount of solar radiation transmitted through Arctic sea ice is determined by the thickness and physical properties of snow and sea ice. Light transmittance is highly variable in space and time since thickness and physical properties of snow and sea ice are highly heterogeneous on variable time and length scales. We present field measurements of under-ice irradiance along transects under undeformed land-fast sea ice at Barrow, Alaska (March, May, and June 2010). The measurements were performed with a spectral radiometer mounted on a floating under-ice sled. The objective was to quantify the spatial variability of light transmittance through snow and sea ice, and to compare this variability along its seasonal evolution. Along with optical measurements, snow depth, sea ice thickness, and freeboard were recorded, and ice cores were analyzed for chlorophyll a and particulate matter. Our results show that snow cover variability prior to onset of snow melt causes as much relative spatial variability of light transmittance as the contrast of ponded and white ice during summer. Both before and after melt onset, measured transmittances fell in a range from one third to three times the mean value. In addition, we found a twentyfold increase of light transmittance as a result of partial snowmelt, showing the seasonal evolution of transmittance through sea ice far exceeds the spatial variability. However, prior melt onset, light transmittance was time invariant and differences in under-ice irradiance were directly related to the spatial variability of the snow cover.