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Vortragsmanuskript zu Neukamerun. Die dazu passenden Bilder aus dem Kolonialen Bildarchiv der Deutschen Kolonialgesellschaft sind online zu sehen unter: http://www.ilissafrica.de/vk/?q=Koch%20Kamerun&c=dkg
Die Nummer des jeweiligen Bildes ist die erste Zahl in dem Feld "Text auf dem Bild".
Der Verfasser „C. Koch“ ist identisch mit dem in den 30er Jahren bekannten Kolonialschriftsteller Carl W. H. Koch (u.a. Im Tropenhelm, Im toten Busch, Das Lied des Landes). Carl W.H. Koch (1882-1970) war nach Aufenthalten in Shanghai und an der englischen Goldküste sowie nach einer kurzen Tätigkeit in der Zollabteilung der Deutschen Kolonialgesellschaft für die Süd-Kamerun-Gesellschaft am 1.10.1909 nach Kamerun gekommen, wo er am 8.2.1910 als Stationsleiter in Molundi fungierte. Er musste 1912 wieder zurück nach Deutschland reisen, wo er zunächst vergeblich versuchte, eine Arbeit zu finden. In dieser Zeit hielt er mehrere Vorträge.
1913 war er wieder in Kamerun, ab Kriegsausbruch als Soldat, ging den Weg in die Internierung. Nach mehreren Fluchtversuchen landete er in englischer Gefangenschaft, aus der er 1919 entlassen wurde. Von 1924-1930 war er selbständiger Farmer in Angola. Von 1934-1938 leitete er als Direktor die Kolonialschule Witzenhausen.
Purpose: To analyze the protein profile of human vitreous of untreated patients with retinal vein occlusion (RVO).
Methods: Sixty-eight vitreous humor (VH) samples (44 from patients with treatment naïve RVO, 24 controls with idiopathic floaters) were analyzed in this clinical-experimental study using capillary electrophoresis coupled to mass spectrometer and tandem mass spectrometry. To define potential candidate protein markers of RVO, proteomic analysis was performed on RVO patients (n = 30) and compared with controls (n = 16). To determine validity of potential biomarker candidates in RVO, receiver operating characteristic (ROC) was performed by using proteome data of independent RVO (n = 14) and control samples (n = 8).
Results: Ninety-four different proteins (736 tryptic peptides) could be identified. Sixteen proteins were found to be significant when comparing RVO and control samples (P = 1.43E-05 to 4.48E-02). Five proteins (Clusterin, Complement C3, Ig lambda-like polypeptide 5 (IGLL5), Opticin and Vitronectin), remained significant after using correction for multiple testing. These five proteins were also detected significant when comparing subgroups of RVO (central RVO, hemi-central RVO, branch RVO) to controls. Using independent samples ROC-Area under the curve was determined proving the validity of the results: Clusterin 0.884, Complement C3 0.955, IGLL5 1.000, Opticin 0.741, Vitronectin 0.786. In addition, validation through ELISA measurements was performed.
Conclusion: The results of the study reveal that the proteomic composition of VH differed significantly between the patients with RVO and the controls. The proteins identified may serve as potential biomarkers for pathogenesis induced by RVO.
the benefits of physical activity (PA) and sleep for health, accurate and objective population-based surveillance is important. Monitor-based surveillance has potential, but the main challenge is the need for replicable outcomes from different monitors. This study investigated the agreement of movement behavior outcomes assessed with four research-grade activity monitors (i.e., Movisens Move4, ActiGraph GT3X+, GENEActiv, and Axivity AX3) in adults. Twenty-three participants wore four monitors on the non-dominant wrist simultaneously for seven days. Open-source software (GGIR) was used to estimate the daily time in sedentary, light, moderate-to-vigorous PA (MVPA), and sleep (movement behaviors). The prevalence of participants meeting the PA and sleep recommendations were calculated from each monitor’s data. Outcomes were deemed equivalent between monitors if the absolute standardized difference and its 95% confidence intervals (CI95%) fell within ± 0.2 standard deviations (SD) of the mean of the differences. The participants were mostly men (n = 14, 61%) and aged 36 (SD = 14) years. Pairwise confusion matrices showed that 83–87% of the daily time was equally classified into the movement categories by the different pairs of monitors. The between-monitor difference in MVPA ranged from 1 (CI95%: − 6, 7) to 8 (CI95%: 1, 15) min/day. Most of the PA and sleep metrics could be considered equivalent. The prevalence of participants meeting the PA and the sleep guidelines was 100% consistent across monitors (22 and 5 participants out of the 23, respectively). Our findings indicate that the various research-grade activity monitors investigated show high inter-instrument reliability with respect to sedentary, PA and sleep-related estimates when their raw data are processed in an identical manner. These findings may have important implications for advancement towards monitor-based PA and sleep surveillance systems.