6,379 research outputs found
Islamic Fundamentalism: A Quantitative Analysis
Islamic fundamentalist movements are inherently anti-system social movements. An anti-system social movement is designed to criticize governmental institutions and the political mainstream while mobilizing disaffected individuals against the existing sociopolitical and socioeconomic institutions. What is lacking in the mindset of many Western politicians, practitioners, the media, and the general public is a basic understanding of Islamic fundamentalism; specifically, the causes. This is the first quantitative analysis of potential causes of Islamic fundamentalism. I have created a unique data set that contains every Islamic fundamentalist group that is or has been in operation from 1970 through 2008. This fundamentalist data set has a total number of 16,072 fundamentalist movements. I will utilize the negative binomial fixed effects regression model and a comparison of each independent variable’s effect on the number of fundamentalist movements by looking at each independent variable’s minimum, mean, and maximum score
Flow alteration-ecology relationships in Ozark Highland streams: Consequences for fish, crayfish and macroinvertebrate assemblages
We examined flowalteration-ecology relationships in benthic macroinvertebrate, fish, and crayfish assemblages in Ozark Highland streams, USA, over two years with contrasting environmental conditions, a drought year (2012) and a flood year (2013). We hypothesized that: 1) there would be temporal variation in flow alteration-ecology relationships between the two years, 2) flow alteration-ecology relationshipswould be stronger during the drought year vs the flood year, and 3) fish assemblages would show the strongest relationships with flow alteration. We used a quantitative richest-targeted habitat (RTH) method and a qualitative multihabitat (QMH) method to collect macroinvertebrates at 16 USGS gaged sites during both years. We used backpack electrofishing to sample fish and crayfish at 17 sites in 2012 and 11 sites in 2013.Weused redundancy analysis to relate biological response metrics, including richness, diversity, density, and community-based metrics, to flow alteration.We found temporal variation in flow alteration-ecology relationships for all taxa, and that relationships differed greatly between assemblages. We found relationships were stronger for macroinvertebrates during the drought year but not for other assemblages, and that fish assemblage relationships were not stronger than the invertebrate taxa. Magnitude of average flow, frequency of high flow, magnitude of high flow, and duration of high flow were the most important categories of flow alteration metrics across taxa. Alteration of high and average flows was more important than alteration of low flows. Of 32 important flow alteration metrics across years and assemblages, 19 were significantly altered relative to expected values. Ecological responses differed substantially between drought and flood years, and this is likely to be exacerbated with predicted climate change scenarios. Differences in flow alteration-ecology relationships among taxonomic groups and temporal variation in relationships illustrate that a complex suite of variables should be considered for effective conservation of stream communities related to flow alteration
A model of an optical biosensor detecting environment
Heller et. Al. (Science 311, 508 (2006)) demonstrated the first DNA-CN
optical sensor by wrapping a piece of double-stranded DNA around the surface of
single-walled carbon nanotubes (CN). This new type of optical device can be
placed inside living cells and detect trace amounts of harmful contaminants by
means of near infrared light. Using a simple exciton theory in nanostructures
and the phenomena of B-Z structural phase transition of DNA, we investigate the
working principle of this new class of optical biosensor from DNA by using the
nanostructure surface as a sensor to detect the property change of DNA as it
responds to the presence of target ions. We also propose some new design models
by replacing carbon nanotubes with graphene ribbon semiconductors.Comment: 4 pages, 4 figures, Accepte
Validation of the Patient Activation Measure in a Multiple Sclerosis Clinic Sample and Implications for Care
Purpose. Patient engagement in multiple sclerosis (MS) care can be challenging at times given the unpredictable disease course, wide range of symptoms, variable therapeutic response to treatment and high rates of patient depression. Patient activation, a model for conceptualising patients’ involvement in their health care, has been found useful for discerning patient differences in chronic illness management. The purpose of this study was to validate the patient activation measure (PAM-13) in an MS clinic sample.
Methods. This was a survey study of 199 MS clinic patients. Participants completed the PAM-13 along with measures of MS medication adherence, self-efficacy, depression and quality of life.
Results. Results from Rasch and correlation analyses indicate that the PAM-13 is reliable and valid for the MS population. Activation was associated with MS self-efficacy, depression and quality of life but not with self-reported medication adherence. Also, participants with relapse-remitting MS, current employment, or high levels of education were more activated than other subgroups.
Conclusions. The PAM-13 is a useful tool for understanding health behaviours in MS. The findings of this study support further clinical consideration and investigation into developing interventions to increase patient activation and improve health outcomes in MS
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