Caratterizzazione morfologica e neurochimica dei neuroni sensitivi e motori del trigono vescicale e del muscolo uretrale di maiale

Il trigono della vescica urinaria (UBT) è un'area limitata attraverso la quale penetrano nella vescica la maggior parte dei vasi e fibre e in cui le fibre nervose e neuroni intramurali sono più concentrati. Mediante l’utilizzo combinato di un tracciante retrogrado(FB) e dell’immunoistochimica sono stati valutati il fenotipo e l’area del soma dei neuroni dei gangli spinali (DRG), dei neuroni post-gangliari, il fenotipo dei gangli della catena simpatica (STG) e i gangli mesenterici caudali (CMG) innervanti l’UBT. - Caratterizzazione dei neuroni dei DRG con: peptide correlato al gene della calcitonina (CGRP)(30±3%, 29±3%, rispettivamente), sostanza P(SP)(26±8%, 27±12%), ossido nitrico sintasi neuronale (nNOS)(21±4%; 26±7%), neurofilamento 200kDa (NF200)(75±14%, 81±7% ) , transient receptor potential vanilloid1 (TRPV1)(48±13%, 43±6%) e isolectina-B4-positivi (IB4) (56±6%;43±10%). I neuroni sensoriali, distribuiti da L2 a Ca1 (DRG), hanno presentato una localizzazione segmentale, mostrando maggior densità nei DRG L4-L5 e S2-S4. I neuroni sensoriali lombari sono risultati significativamente più grandi di quelle sacrali (1.112±624μm2 vs716±421μm2). Complessivamente, questi dati indicano che le vie lombari e sacrali probabilmente svolgono ruoli diversi nella trasmissione sensitiva del trigono della vescica urinaria. -I neuroni FB+ della STG e dei CMG sono risultati immunoreattivi per la tirosina idrossilasi (TH)(66±10,1%, 53±8,2%, rispettivamente), la dopamina beta-idrossilasi (DβH)(62±6,2%, 52±6,2%), neuropeptideY (NPY)(59±8%; 66±7%), CGRP(24±3%, 22±3%), SP(22±2%; 38±8%), polipeptide intestinale vasoattivo (VIP)(19±2%; 35±4%), nNOS(15±2%; 33±8%), trasportatore vescicolare dell'acetilcolina (VAChT)(15±2%; 35±5%), leu-encefalina (LENK)(14±7%; 26±9%), e somatostatina (SOM)(12±3%;32±7%).Il numero medio di neuroni FB+ (1845,1±259,3) era nella STG in L1-S3, con i pirenofori più piccoli (465,6±82.7μm2). Un gran numero (4287,5±1450,6) di neuroni FB+ di piccole dimensioni (476,1±103,9μm2) sono stati localizzati lungo il margine dei CMG. Il maggior numero (4793,3±1990,8) di neuroni FB + è stato osservato nel plesso pelvico, dove i neuroni marcati erano raggruppati in micro-gangli e con pirenoforo ancora più piccolo (374,9±85,4 μm2).

Ms.Ff.F.Stoltze 3. 327 - Brief von Friedrich Stoltze an Emil Claar

Sein Festspiel (100 Jahre Stadttheater), Dank für die Aufführung

Na 50 Nachlass Arthur Schopenhauer - 'Schopenhauer-Archiv', 598 - Rechnungsauszug

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Na 50 Nachlass Arthur Schopenhauer - 'Schopenhauer-Archiv', 327 - Dankesschreiben an Professor Hugo von Meltzl wegen der zugesandten Bibliographie und Bitte um Erwerb von bereits vergriffener Sekundärliteratur

u.a.: Ferdinand Laban; Arthur Schopenhauer;

Ms.Ff.F.Stoltze 3. 598 - Brief von Heinrich Stoltze an Friedrich Stoltze und Marie Stoltze

Frankfurter Latern, Berufspläne

Na 1 Nachlass Max Horkheimer, 598 - Korrespondenzen u.a. mit Frederick Wild und Friedrich Pollock (p. VI 41, 287-427)

46 Briefe zwischen Max Horkheimer und Frederick Wild; 1 Brief von Frederick Pollock an Leo Löwenthal, 22.04.1948; 5 Empfehlungsschreiben für Max Horkheimer von Frederick Pollock, 16. u. 17.04.1948; 1 Telegramm von Frederick Pollock an Max Horkheimer, 28.06.1943; 1 Brief an Max Horkheimer von Julius Schwietering, 18.02.1948; 10 Briefe zwischen der National City Bank of New York und Max Horkheimer, 1943-1944; 1 Brief von Frederick Wild an H. P. Edelman, 27.01.1944; 1 Brief von Hilda Kahn an Frederick Wild, 02.12.1943; 1 Brief von Frederick Wild an Jane Reinheimer, 30.11.1943;

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.

Particulate and phytoplankton absorption during POLARSTERN cruises ANT-XXVI/3 and ANT-XXVIII/3

The euphotic depth (Zeu) is a key parameter in modelling primary production (PP) using satellite ocean colour. However, evaluations of satellite Zeu products are scarce. The objective of this paper is to investigate existing approaches and sensors to estimate Zeu from satellite and to evaluate how different Zeu products might affect the estimation of PP in the Southern Ocean (SO). Euphotic depth was derived from MODIS and SeaWiFS products of (i) surface chlorophyll-a (Zeu-Chla) and (ii) inherent optical properties (Zeu-IOP). They were compared with in situ measurements of Zeu from different regions of the SO. Both approaches and sensors are robust to retrieve Zeu, although the best results were obtained using the IOP approach and SeaWiFS data, with an average percentage of error (E) of 25.43% and mean absolute error (MAE) of 0.10 m (log scale). Nevertheless, differences in the spatial distribution of Zeu-Chla and Zeu-IOP for both sensors were found as large as 30% over specific regions. These differences were also observed in PP. On average, PP based on Zeu-Chla was 8% higher than PP based on Zeu-IOP, but it was up to 30% higher south of 60°S. Satellite phytoplankton absorption coefficients (aph) derived by the Quasi-Analytical Algorithm at different wavelengths were also validated and the results showed that MODIS aph are generally more robust than SeaWiFS. Thus, MODIS aph should be preferred in PP models based on aph in the SO. Further, we reinforce the importance of investigating the spatial differences between satellite products, which might not be detected by the validation with in situ measurements due to the insufficient amount and uneven distribution of the data.