University of Hohenheim

About: University of Hohenheim is a education organization based out in Stuttgart, Germany. It is known for research contribution in the topics: Population & Soil water. The organization has 8585 authors who have published 16406 publications receiving 567377 citations.

An Extended Privacy Calculus Model for SNSs: Analyzing Self-Disclosure and Self-Withdrawal in a Representative U.S. Sample

Abstract: The privacy calculus established that online self-disclosures are based on a cost-benefit tradeoff. For the context of SNSs, however, the privacy calculus still needs further support as most studies consist of small student samples and analyze self-disclosure only, excluding self-withdrawal e.g., the deletion of posts, which is essential in SNS contexts. Thus, this study used a U.S. representative sample to test the privacy calculus' generalizability and extend its theoretical framework by including both self-withdrawal behaviors and privacy self-efficacy. Results confirmed the extended privacy calculus model. Moreover, both privacy concerns and privacy self-efficacy positively predicted use of self-withdrawal. With regard to predicting self-disclosure in SNSs, benefits outweighed privacy concerns; regarding self-withdrawal, privacy concerns outweighed both privacy self-efficacy and benefits.

Lactobacillus rhamnosus GG Protects against Non-Alcoholic Fatty Liver Disease in Mice

Abstract: Objective Experimental evidence revealed that obesity-associated non-alcoholic fatty liver disease (NAFLD) is linked to changes in intestinal permeability and translocation of bacterial products to the liver. Hitherto, no reliable therapy is available except for weight reduction. Within this study, we examined the possible effect of the probiotic bacterial strain Lactobacillus rhamnosus GG (LGG) as protective agent against experimental NAFLD in a mouse model.

Candidate pheromone receptors provide the basis for the response of distinct antennal neurons to pheromonal compounds.

Abstract: Males of the moth species Heliothis virescens are able to detect the female-released pheromone with remarkable sensitivity and specificity, distinguishing between highly related pheromonal compounds. In the past, electrophysiological studies succeeded in assigning sensory hairs to identified compounds revealing three functional types of long sensilla trichodea housing neurons specifically responding to distinct semiochemicals. The specific responsiveness implies that the sensory neurons express different receptor types tuned to pheromone components. In this study we demonstrate that heterologously expressed candidate pheromone receptors from Heliothis responded to several pheromonal compounds, including the major sex-pheromone component Z-11-hexadecenal indicating a limited specificity of each receptor type. Nonetheless, based on functional analysis and in situ hybridization studies the analysed receptor types could tentatively be assigned to types of long sensilla trichodea, containing the pheromone-binding proteins (PBPs) HvirPBP1 and HvirPBP2 in the sensillum lymph. Substituting organic solvent with PBPs to solubilize the hydrophobic pheromone compounds in functional assays revealed an increase in sensitivity and especially specificity. It was found that in the presence of HvirPBP2, cells expressing the receptor type HR13 specifically responded to the main component of the sex pheromone blend only. The data provide further evidence that a combination of a distinct receptor type and binding protein underlie the specific response observed in the detection of a pheromone component in vivo.