41 research outputs found
Modulation of Nrf2-KEAP1 signaling by the natural compound Withaferin A: potential therapeutic effect in cardiovascular diseases?
Heuristics for deciding collectively rational consumption behavior
We consider the computational problem of testing whether observed household consumption behavior satisfies the Collective Axiom of Revealed Preferences (CARP). We propose a graph such that the existence of a node-partitioning giving rise to two induced subgraphs that are acyclic implies that the data satisfy CARP. Furthermore, we propose and implement heuristics that are quite fast, that can be used to check reasonably large datasets for CARP and that can be of particular interest when used prior to computationally demanding approaches. Finally, from the computational results we conclude that these heuristics can be effective in testing CARP.Collective model of household consumption; Collective Axiom of Revealed Preference; Pareto efficiency; Directed graph; Graph coloring; Graph partitioning; Acycli subgraph; Heuristics.
Data for paper: Patient-Centered Communication in A Diverse General Practice Setting: A Multi-Perspective Case Study
This is the dataset used for the paper Patient-Centered Communication in A Diverse General Practice Setting: A Multi-Perspective Case Study. The dataset consists of the transcriptions of the two discussed cases in the paper and the open recall interviews with the treating doctor and the intercultural mediator. These data aren't made publicly available because of their sensitive content and ethical regulations. Acces can be requested through the author, after explicit approval of EC Research UZ/KU Leuven
Emblemata Sacra. Emblem Books from the Maurits Sabbe Library, Katholieke Universiteit Leuven
Data for paper: Handling Communication Challenges at the ED Entry: A Linguistic Ethnographic Study in a Belgian Hospital
This is the dataset used for the paper Handling Communication Challenges at the ED Entry: A Linguistic Ethnographic Study in a Belgian Hospital. The dataset consists of transcriptions of 11 semi-structured interviews with healthcare professionals who work at the ED entry. These data aren't made publicly available because of their sensitive content and ethical regulations. Access can be requested through the author, after explicit approval of EC Research UZ/KU Leuven
A longitudinal study on the persistence of Livestock Associated-MRSA in swine herds
In recent years, a new type of MRSA, now called livestock-associated MRSA (LA-MRSA), belonging to the clonal complex (CC) 398, has globally emerged in swine world wide. Aim of this study was to gain more insight into the persistence of LA-MRSA in different types of pig farms over a period of two years. To investigate this, 15 MRSA-positive herds from a previous study were selected; an additional pig farm was selected because this one was found to be positive with a human MRSA-strain. Starting in September 2009, five dust samples were collected every two months. Samples were analysed for MRSA and spa-typing was done to confirm that MRSA isolates belonged to CC398 and to gain insight into persistence of strains within a farm. Three herds were positive on all sampling occasions and were consistently contaminated with LA-MRSA. In the remaining herds, occasionally no positive dust samples were found at some sampling moments. The predominating spa -types were t011 and t108. A maximum of 5 different spa-types were found in two herds, with 3 different spa-types present in one sampling, indicating multiple introductions. These results show that LA-MRSA remains present on a pig farm over a long period. Most likely, transmission within the herd occurs after initial introduction, and an endemic situation seems to be the endpoint. The relatively low sensitivity of dust sampling compared to sampling of animals, the small sample size and lack of strict standardization of dust sampling might explain occasional negative samplings in overall positive herds. However, a true change of a positive MRSA-status to a negative status, followed by re-introduction cannot be ruled out in our study design
Author Correction: Production of sounds by squirrelfish during symbiotic relationships with cleaner wrasses
European Waste Statistics data for a Circular Economy Monitor: Opportunities and limitations from the Amsterdam Metropolitan Region
As appointed in the EU Circular Economy Action Plan, cities and regions in EU member countries start accompanying their circular economy strategies by monitoring frameworks, often called Circular Economy Monitors (CEM). Having the task to assess the performance towards the achievement of set targets and to steer decision-making, CEMs need to rely on a multitude of statistics and datasets. Waste statistics play an important role in circular economy monitoring as they provide insights into the remaining linear part of the economy. The collection of waste statistics is mandated by the European Commission which provides general guidelines on data collection and processing. The Netherlands has one of the most detailed waste registries among the EU countries. The country's largest metropolitan region, Amsterdam, is currently building a CEM which tracks progress over time towards the set goals, highlights which areas need improvement and estimates target feasibility. This paper uses the Amsterdam CEM as a case-study to explore how the existing system of waste registration in the Netherlands is able to support decision-making. The data is explored with the help of four queries that relate to the CEM's goals and require data mapping to be answered. The data mapping and analysis process has revealed several limitations present in the waste data collection and a number of gaps present in current circular economy research and data analysis. At the same time, the available data already supports significant insights into the status quo of the current waste system and provides opportunities for circular economy monitoring.Environmental Technology and Desig
Community structure and seasonal dynamics of diatom biofilms and associated grazers in intertidal mudflats
The composition and seasonal dynamics of biofilm-associated eukaryotic communities were analysed at the metre and kilometre scale along a salinity gradient in the Westerschelde estuary (The Netherlands), using microscopy and a genetic fingerprinting technique (PCR-DGGE). Microphytobenthic biomass, measured as chlorophyll a (chl a), varied seasonally over 2 orders of magnitude, being highest in spring. Communities were dominated by epipelic diatoms, in particular by members of the genus Navicula. In spring, a few smaller epipelic diatom species dominated during biomass peaks, while during the rest of the year, communities were more diverse and were characterised by larger species. The microphytobenthic community collapsed when grazers appeared, which happened concomitantly with a rise in temperature. Spring biomass development was associated with marked changes in porewater nutrient concentrations, especially towards the estuary mouth. In the DGGE data, diatoms, ciliates, amoebae, copepods, nematodes, annelids and platyhelminthes were detected. Ordination analysis of the species counts and DGGE data were largely congruent and indicated that on the scale of the whole estuary (i.e. km scale), taxonomic turnover in microphytobenthos composition was mainly associated with the salinity gradient. At smaller spatial scales, the position of sampling localities along the tidal exposure gradient appeared to be the main determinant of species turnover, in particular in the brackish reaches of the estuary.
Phytochemicals and cancer chemoprevention: epigenetic friends or foe?
Cancer, as one of the non-communicable diseases, remains one of the leading causes of death around the world. Since immune cells that infiltrate tumors engage in an extensive and dynamic crosstalk with cancer cells, inflammatory responses play decisive roles at different stages of tumor development, including initiation, promotion, malignant conversion, invasion, and metastasis. Inflammation also affects immune surveillance and therapy sensitivity. Recent successes of therapeutic interventions in cancer and inflammatory diseases using epigenetic modifiers such as histone deacetylase inhibitors and inhibitors of DNA methylation suggest that epigenetic reprogramming plays an important role in the aetiology of these diseases. Epigenetic changes in DNA methylation patterns at CpG sites (epimutations) or corrupt chromatin states of tumor promoting genes and noncoding RNAs, recently emerged as major governing factors in tumor progression and cancer drug sensitivity. Epigenetic defects (epimutations) are thought to be more easily reversible (when compared with genetic defects) and, as such, have inspired efforts to identify novel compounds that correct epimutations or prevent disease progression. Given the fact that epigenetic modifications occur early in carcinogenesis and represent potentially initiating events in cancer development, they have been identified as promising new targets for chemoprevention strategies. Numerous clinical, epidemiological and laboratory studies have identified various promising nutritional anti-inflammatory compounds as chemopreventive agents, which affect carcinogenic epigenetic marks in the body and the host immune system, and protect against aggressive cancer malignancies. This has recently launched reexploration of chemopreventive phytochemicals for identification of epigenetic targets which allow epigenetic (re)programming of cancer stem cells, prevent metastasis or sensitize for drug sensitivity. This review will discuss mechanisms of epigenome plasticity by cancer-inflammation and chemopreventive phytochemicals
