Well-designed medical pictograms accelerate search

Two types of newly designed pharmaceutical pictograms (with and without context) were compared with an existing type of certified pictograms regarding their search efficiency. Each of the 30 participants had to search a total of 1'090 "fictitious" medical shelves for a certain box defined by the amount and type of medical instructions given (memory size) and presented among a variable number of other boxes (set size). The boxes contained the different types of pictograms mentioned above. Calculated factorial analyses on reaction time data, among others, showed that the two newly designed pictogram types make search more efficient compared to existing types of pictograms (i.e., flatter reaction time x set size slopes). Furthermore, regardless of the type of pictogram, this set size effect became more pronounced with larger memory sizes. Overall, the newly designed pictograms need fewer attentional resources and therefore might help to increase patient adherence

The fourth phase of the radiative transfer model intercomparison (RAMI) exercise : Actual canopy scenarios and conformity testing

The RAdiative transfer Model Intercomparison (RAMI) activity focuses on the benchmarking of canopy radiative transfer (RT) models. For the current fourth phase of RAMI, six highly realistic virtual plant environments were constructed on the basis of intensive field data collected from (both deciduous and coniferous) forest stands as well as test sites in Europe and South Africa. Twelve RT modelling groups provided simulations of canopy scale (directional and hemispherically integrated) radiative quantities, as well as a series of binary hemispherical photographs acquired from different locations within the virtual canopies. The simulation results showed much greater variance than those recently analysed for the abstract canopy scenarios of RAMI-IV. Canopy complexity is among the most likely drivers behind operator induced errors that gave rise to the discrepancies. Conformity testing was introduced to separate the simulation results into acceptable and non-acceptable contributions. More specifically, a shared risk approach is used to evaluate the compliance of RI model simulations on the basis of reference data generated with the weighted ensemble averaging technique from ISO-13528. However, using concepts from legal metrology, the uncertainty of this reference solution will be shown to prevent a confident assessment of model performance with respect to the selected tolerance intervals. As an alternative, guarded risk decision rules will be presented to account explicitly for the uncertainty associated with the reference and candidate methods. Both guarded acceptance and guarded rejection approaches are used to make confident statements about the acceptance and/or rejection of RT model simulations with respect to the predefined tolerance intervals. (C) 2015 The Authors. Published by Elsevier Inc.Peer reviewe

Mobile Marketing – Nervtöter oder Instrument der Kundenbindung? | Eine empirische Studie der Akzeptanz von Mobile Marketing im Umfeld des stationären Lebensmitteleinzelhandels

Mobile Marketing bietet aufgrund der steigenden Penetration des Smartphones und der Entwicklung des Mobilen Internets interessante Ansätze für den stationären Lebensmitteleinzelhandel. Im Rahmen einer empirischen Untersuchung unter 216 deutschen Smartphone-Usern wurde die Bekanntheit und Akzeptanz moderner Mobile Marketing Instrumente und deren Bedeutung im Kaufprozess untersucht. Hierbei zeigt sich eine hohe Bekanntheit, aber noch großes Potenzial in der Nutzung insbesondere beim täglichen Einkauf. Hauptbarrieren stellen fehlende Bekanntheit und fehlender Nutzen der Dienste dar. Die Rolle der Instrumente variiert während des Kaufprozesses. Insgesamt werden die Instrumente positiv bewertet und Konsumenten stehen zusätzlichen Services positiv gegenüber. Wichtig ist hierbei jedoch ein erlebbarer Zusatznutzen und Transparenz aus Konsumentensicht. Mobile Marketing offers interesting opportunities for retail marketing due to high penetration of smartphones and the rapid evolution of mobile internet. The results of an empirical study prove that most consumers know about the instruments, but there is still unleveraged potential for use especially during daily shopping. Main barriers are a lack of awareness and missing value. The instruments prove different relevancy during purchase decision process. Keywords: nutzungsbarrieren, marketing mix, kaufentscheidungsprozess

Neutrophils Obstructing Brain Capillaries Are a Major Cause of No-Reflow in Ischemic Stroke

Despite successful clot retrieval in large vessel occlusion stroke, ∼50% of patients have an unfavorable clinical outcome. The mechanisms underlying this functional reperfusion failure remain unknown, and therapeutic options are lacking. In the thrombin-model of middle cerebral artery (MCA) stroke in mice, we show that, despite successful thrombolytic recanalization of the proximal MCA, cortical blood flow does not fully recover. Using in vivo two-photon imaging, we demonstrate that this is due to microvascular obstruction of ∼20%-30% of capillaries in the infarct core and penumbra by neutrophils adhering to distal capillary segments. Depletion of circulating neutrophils using an anti-Ly6G antibody restores microvascular perfusion without increasing the rate of hemorrhagic complications. Strikingly, infarct size and functional deficits are smaller in mice treated with anti-Ly6G. Thus, we propose neutrophil stalling of brain capillaries to contribute to reperfusion failure, which offers promising therapeutic avenues for ischemic stroke

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The study indicates a high demand for nutritional advice focusing on weight management for breast cancer survivors

The Proteasome Inhibitor Bortezomib Prevents Lupus Nephritis in the NZB/W F1 Mouse Model by Preservation of Glomerular and Tubulointerstitial Architecture

Background/Aims: Crucial steps in the initiation of lupus nephritis are the deposition of (auto-)antibodies and consequent complement activation. In spite of aggressive treatment patients may develop terminal renal failure. Therefore, new treatment strategies are needed. In extension to our previously published data we here analyzed the potential renoprotective mechanisms of bortezomib (BZ) in experimental lupus nephritis by focusing on morphological changes. Methods: Female NZB!NZW F1 mice develop lupus-like disease with extensive nephritis that finally leads to lethal renal failure. Treatment with 0.75 mg/kg BZ i.v. or placebo (PBS) twice per week started at 18 or 24 weeks of age. Antibody production was measured with ELISA and kidney damage was determined by quantitative morphological and immunohistochemical methods. Results: BZ treatment completely inhibited antibody production in both BZ-treated groups and prevented the development of nephritis in comparison to PBS-treated animals. Glomerular and tubulointer- stitial damage scores, collagen IV expression, mean glomerular volume as well as tubulointerstitial proliferation and apoptosis were significantly lower after BZ treatment. Glomerular ultrastructure and in particular podocyte damage and loss were prevented by BZ treatment. Conclusions: BZ effectively prevents the development of nephritis in the NZB/W F1 mouse model. Specific protection of podocyte ultrastructure may critically contribute to renoprotection by BZ, which may also represent a potential new treatment option in human lupus nephritis

E Pluribus Unum: Functional Aggregation of Cell-Free Proteins Enables Fungal Ice Nucleation

Biological ice nucleation plays a key role in the survival of cold-adapted organisms. Several species of bacteria, fungi, and insects produce ice nucleators (INs) that enable ice formation at temperatures above -10 oC. Bacteria and fungi produce particularly potent INs that can promote water crystallization above -5 oC. Bacterial INs consist of extended protein units that aggregate to achieve superior functionality. Despite decades of research, the nature and identity of fungal INs remain elusive. Here we combine ice nucleation measurements, physicochemical characterization, numerical modeling and nucleation theory to shed light on the size and nature of the INs from the fungus Fusarium acuminatum. We find ice-binding and ice-shaping activity of Fusarium IN, suggesting a potential connection between ice growth promotion and inhibition. We demonstrate that fungal INs are composed of small 5.3 kDa protein subunits which assemble into ice nucleating complexes that can contain more than 100 subunits. Fusarium INs retain high ice-nucleation activity even when only the ~12 kDa fraction of size-excluded proteins are initially present, suggesting robust pathways for their functional aggregation in cell-free aqueous environments. We conclude that the use of small proteins to build large assemblies is a common strategy among organisms to create potent biological INs

COVID-Scraper: An Open-Source Toolset for Automatically Scraping and Processing Global Multi-Scale Spatiotemporal COVID-19 Records

In 2019, COVID-19 quickly spread across the world, infecting billions of people and disrupting the normal lives of citizens in every country. Governments, organizations, and research institutions all over the world are dedicating vast resources to research effective strategies to fight this rapidly propagating virus. With virus testing, most countries publish the number of confirmed cases, dead cases, recovered cases, and locations routinely through various channels and forms. This important data source has enabled researchers worldwide to perform different COVID-19 scientific studies, such as modeling this virus’s spreading patterns, developing prevention strategies, and studying the impact of COVID-19 on other aspects of society. However, one major challenge is that there is no standardized, updated, and high-quality data product that covers COVID-19 cases data internationally. This is because different countries may publish their data in unique channels, formats, and time intervals, which hinders researchers from fetching necessary COVID-19 datasets effectively, especially for fine-scale studies. Although existing solutions such as John’s Hopkins COVID-19 Dashboard and 1point3acres COVID-19 tracker are widely used, it is difficult for users to access their original dataset and customize those data to meet specific requirements in categories, data structure, and data source selection. To address this challenge, we developed a toolset using cloud-based web scraping to extract, refine, unify, and store COVID-19 cases data at multiple scales for all available countries around the world automatically. The toolset then publishes the data for public access in an effective manner, which could offer users a real time COVID-19 dynamic dataset with a global view. Two case studies are presented about how to utilize the datasets. This toolset can also be easily extended to fulfill other purposes with its open-source nature