On Qualitative Route Descriptions: Representation and Computational Complexity

The generation of route descriptions is a fundamental task of navigation systems. A particular problem in this context is to identify routes that can easily be described and processed by users. In this work, we present a framework for representing route

The plant decapeptide OSIP108 can alleviate mitochondrial dysfunction induced by cisplatin in human cells

We investigated the effect of the Arabidopsis thaliana-derived decapeptide OSIP108 on human cell tolerance to the chemotherapeutic agent cisplatin (Cp), which induces apoptosis and mitochondrial dysfunction. We found that OSIP108 increases the tolerance of HepG2 cells to Cp and prevents Cp-induced changes in basic cellular metabolism. More specifically, we demonstrate that OSIP108 reduces Cp-induced inhibition of respiration, decreases glycolysis and prevents Cp-uptake in HepG2 cells. Apart from its protective action against Cp in human cells, OSIP108 also increases the yeast Saccharomyces cerevisiae tolerance to Cp. A limited yeast-based study of OSIP108 analogs showed that cyclization does not severely affect its activity, which was further confirmed in HepG2 cells. Furthermore, the similarity in the activity of the D-stereoisomer (mirror image) form of OSIP108 with the L stereoisomer suggests that its mode of action does not involve binding to a stereospecific receptor. In addition, as OSIP108 decreases Cp uptake in HepG2 cells and the anti-Cp activity of OSIP108 analogs without free cysteine is reduced, OSIP108 seems to protect against Cp-induced toxicity only partly via complexation. Taken together, our data indicate that OSIP108 and its cyclic derivatives can protect against Cp-induced toxicity and, thus, show potential as treatment options for mitochondrial dysfunction- and apoptosis-related conditions

Survey on worldwide trauma team activation requirement

PURPOSE : trauma team activation (TTA) is thought to be essential for advanced and specialized care of very severely injured patients. However, non-specific TTA criteria may result in overtriage that consumes valuable resources or endanger patients in need of TTA secondary to undertriage. Consequently, criterion standard definitions to calculate the accuracy of the various TTA protocols are required for research and quality assurance purposes. Recently, several groups suggested a list of conditions when a trauma team is considered to be essential in the initial care in the emergency room. The objective of the survey was to post hoc identify trauma-related conditions that are thought to require a specialized trauma team that may be widely accepted, independent from the country’s income level. METHODS : A set of questions was developed, centered around the level of agreement with the proposed post hoc criteria to define adequate trauma team activation. The participants gave feedback before they answered the survey to improve the quality of the questions. The finalized survey was conducted using an online tool and a word form. The income per capita of a country was rated according to the World Bank Country and Lending groups. RESULTS : The return rate was 76% with a total of 37 countries participating. The agreement with the proposed criteria to define post hoc correct requirements for trauma team activation was more than 75% for 12 of the 20 criteria. The rate of disagreement was low and varied between zero and 13%. The level of agreement was independent from the country’s level of income. CONCLUSIONS : The agreement on criteria to post hoc define correct requirements for trauma team activation appears high and it may be concluded that the proposed criteria could be useful for most countries, independent from their level of income. Nevertheless, more discussions on an international level appear to be warranted to achieve a full consensus to define a universal set of criteria that will allow for quality assessment of over- and undertriage of trauma team activation as well as for the validation of field triage criteria for the most severely injured patients worldwide.http://link.springer.com/journal/68am2022Surger

T-cell recognition of chemicals, protein allergens and drugs: towards the development of in vitro assays

Chemicals can elicit T-cell-mediated diseases such as allergic contact dermatitis and adverse drug reactions. Therefore, testing of chemicals, drugs and protein allergens for hazard identification and risk assessment is essential in regulatory toxicology. The seventh amendment of the EU Cosmetics Directive now prohibits the testing of cosmetic ingredients in mice, guinea pigs and other animal species to assess their sensitizing potential. In addition, the EU Chemicals Directive REACh requires the retesting of more than 30,000 chemicals for different toxicological endpoints, including sensitization, requiring vast numbers of animals. Therefore, alternative methods are urgently needed to eventually replace animal testing. Here, we summarize the outcome of an expert meeting in Rome on 7 November 2009 on the development of T-cell-based in vitro assays as tools in immunotoxicology to identify hazardous chemicals and drugs. In addition, we provide an overview of the development of the field over the last two decades

A Qualitative Representation of Route Networks

Route navigation is one of the most widely used everyday application of spatial data. In this paper we investigate how a qualitative representation of route networks can be derived from map data and how this representation can be used to reason about route descriptions. We introduce a concept of route graph that provides an abstract layer on top of metric map data and thus allows for a compact representation of route information. We present selected queries and reasoning tasks that can be expressed in this abstraction layer

Restarts and Nogood Recording in Qualitative Constraint-based Reasoning

This paper introduces restart and nogood recording techniques in the domain of qualitative spatial and temporal reasoning. Nogoods and restarts can be applied orthogonally to usual methods for solving qualitative constraint satisfaction problems. In particular, we propose a more general definition of nogoods that allows for exploiting information about nogoods and tractable subclasses during backtracking search. First evaluations of the proposed techniques show promising results

On Qualitative Route Descriptions Representation, Agent Models, and Computational Complexity

The generation of route descriptions is a fundamental task of navigation systems. A particular problem in this context is to identify routes that can easily be described and processed by users. In this work, we present a framework for representing route networks with the qualitative information necessary to evaluate and optimize route descriptions with regard to ambiguities in them. We identify different agent models that differ in how agents are assumed to process route descriptions while navigating through route networks and discuss which agent models can be translated into PDL programs. Further, we analyze the computational complexity of matching route descriptions and paths in route networks in dependency of the agent model. Finally, we empirically evaluate the influence of the agent model on the optimization and the processing of route instructions

Gene expression levels of selected genes in MCF-7 cells after 24 h treatment with black cohosh extract (15 μg/ml), the triterpene glycoside actein (20 μM) or the triterpene aglycon mixture (30 μM)

<p><b>Copyright information:</b></p><p>Taken from "Gene expression profiling reveals effects of (L.) NUTT. (black cohosh) on the estrogen receptor positive human breast cancer cell line MCF-7"</p><p>http://www.biomedcentral.com/1471-2210/7/11</p><p>BMC Pharmacology 2007;7():11-11.</p><p>Published online 20 Sep 2007</p><p>PMCID:PMC2194763.</p><p></p> For extract treatment results obtained with microarrays () and real-time RT-PCR () are shown. For actein () and the aglycons () expression levels were determined by real-time RT-PCR. Bars represent gene expression levels as fold changes calculated DMSO control. RT-PCR measurements were done at least in triplicate. The data are presented as means ± SD (*p < 0.05, **p < 0.01, ***p < 0.001: gene expression statistically significantly different from DMSO control, calculated by Student's t-test)