360-MAM-Affect: Sentiment Analysis with the Google Prediction API and EmoSenticNet

Online recommender systems are useful for media asset management where they select the best content from a set of media assets. We have developed an architecture for 360-MAM- Select, a recommender system for educational video content. 360-MAM-Select will utilise sentiment analysis and gamification techniques for the recommendation of media assets. 360-MAM-Select will increase user participation with digital content through improved video recommendations. Here, we discuss the architecture of 360-MAM-Select and the use of the Google Prediction API and EmoSenticNet for 360-MAM-Affect, 360-MAM-Select's sentiment analysis module. Results from testing two models for sentiment analysis, Sentiment Classifier (Google Prediction API) and EmoSenticNetClassifer (Google Prediction API + EmoSenticNet) are promising. Future work includes the implementation and testing of 360-MAM-Select on video data from YouTube EDU and Head Squeeze

Risk factors for breast cancer in a population with high incidence rates.

BackgroundThis report examines generally recognized breast cancer risk factors and years of residence in Marin County, California, an area with high breast cancer incidence and mortality rates.MethodsEligible women who were residents of Marin County diagnosed with breast cancer in 1997-99 and women without breast cancer obtained through random digit dialing, frequency-matched by cases' age at diagnosis and ethnicity, participated in either full in-person or abbreviated telephone interviews.ResultsIn multivariate analyses, 285 cases were statistically significantly more likely than 286 controls to report being premenopausal, never to have used birth control pills, a lower highest lifetime body mass index, four or more mammograms in 1990-94, beginning drinking after the age of 21, on average drinking two or more drinks per day, the highest quartile of pack-years of cigarette smoking and having been raised in an organized religion. Cases and controls did not significantly differ with regard to having a first-degree relative with breast cancer, a history of benign breast biopsy, previous radiation treatment, age at menarche, parity, use of hormone replacement therapy, age of first living in Marin County, or total years lived in Marin County. Results for several factors differed for women aged under 50 years or 50 years and over.ConclusionsDespite similar distributions of several known breast cancer risk factors, case-control differences in alcohol consumption suggest that risk in this high-risk population might be modifiable. Intensive study of this or other areas of similarly high incidence might reveal other important risk factors proximate to diagnosis

Procedural justice, compliance with the law and police stop-and-search: a study of young people in England and Scotland

The policing of young people, especially through stop-and-search, has been rigorously debated in the context of rising violence in the UK. While concepts based on procedural justice theory and perceptions of police fairness are directly relevant to these debates, these have rarely been tested on young people, nor have they taken account of the impact of stop-and-search. This paper examines young people’s experiences of stop-and-search in two Scottish and two English cities, and tests the relationship between these experiences, their trust in the police, their perceptions of police legitimacy and their compliance with the law. The study finds that Scottish adolescents, who experienced higher volume stop-and-search, had more negative attitudes to the police and perceived them to be less procedurally fair than English adolescents. Structural equation modelling confirms that principles of procedural justice theory do apply to young people in this UK sample. However, our findings suggest that stop-and-search may damage trust in the police and perceptions of police legitimacy, regardless of the volume of police stop-and-search, and this may result in increased offending behaviour. With ongoing calls to increase the use of stop-and-search in response to recent increases in knife crime in England, we argue that its use needs to be carefully balanced against the, as yet poorly evidenced, benefits of the use of the tactic

Nanoparticle–membrane interactions

Engineered nanomaterials have a wide range of applications and as a result, are increasingly present in the environment. While they offer new technological opportunities, there is also the potential for adverse impact, in particular through possible toxicity. In this review, we discuss the current state of the art in the experimental characterisation of nanoparticle-membrane interactions relevant to the prediction of toxicity arising from disruption of biological systems. One key point of discussion is the urgent need for more quantitative studies of nano-bio interactions in experimental models of lipid system that mimic in vivo membranes

RNA-Seq Differentiates Tumour and Host mRNA Expression Changes Induced by Treatment of Human Tumour Xenografts with the VEGFR Tyrosine Kinase Inhibitor Cediranib.

Pre-clinical models of tumour biology often rely on propagating human tumour cells in a mouse. In order to gain insight into the alignment of these models to human disease segments or investigate the effects of different therapeutics, approaches such as PCR or array based expression profiling are often employed despite suffering from biased transcript coverage, and a requirement for specialist experimental protocols to separate tumour and host signals. Here, we describe a computational strategy to profile transcript expression in both the tumour and host compartments of pre-clinical xenograft models from the same RNA sample using RNA-Seq. Key to this strategy is a species-specific mapping approach that removes the need for manipulation of the RNA population, customised sequencing protocols, or prior knowledge of the species component ratio. The method demonstrates comparable performance to species-specific RT-qPCR and a standard microarray platform, and allowed us to quantify gene expression changes in both the tumour and host tissue following treatment with cediranib, a potent vascular endothelial growth factor receptor tyrosine kinase inhibitor, including the reduction of multiple murine transcripts associated with endothelium or vessels, and an increase in genes associated with the inflammatory response in response to cediranib. In the human compartment, we observed a robust induction of hypoxia genes and a reduction in cell cycle associated transcripts. In conclusion, the study establishes that RNA-Seq can be applied to pre-clinical models to gain deeper understanding of model characteristics and compound mechanism of action, and to identify both tumour and host biomarkers

118 SNPs of folate-related genes and risks of spina bifida and conotruncal heart defects

<p>Abstract</p> <p>Background</p> <p>Folic acid taken in early pregnancy reduces risks for delivering offspring with several congenital anomalies. The mechanism by which folic acid reduces risk is unknown. Investigations into genetic variation that influences transport and metabolism of folate will help fill this data gap. We focused on 118 SNPs involved in folate transport and metabolism.</p> <p>Methods</p> <p>Using data from a California population-based registry, we investigated whether risks of spina bifida or conotruncal heart defects were influenced by 118 single nucleotide polymorphisms (SNPs) associated with the complex folate pathway. This case-control study included 259 infants with spina bifida and a random sample of 359 nonmalformed control infants born during 1983–86 or 1994–95. It also included 214 infants with conotruncal heart defects born during 1983–86. Infant genotyping was performed blinded to case or control status using a designed SNPlex assay. We examined single SNP effects for each of the 118 SNPs, as well as haplotypes, for each of the two outcomes.</p> <p>Results</p> <p>Few odds ratios (ORs) revealed sizable departures from 1.0. With respect to spina bifida, we observed ORs with 95% confidence intervals that did not include 1.0 for the following SNPs (heterozygous or homozygous) relative to the reference genotype: <it>BHMT </it>(rs3733890) OR = 1.8 (1.1–3.1), <it>CBS </it>(rs2851391) OR = 2.0 (1.2–3.1); <it>CBS </it>(rs234713) OR = 2.9 (1.3–6.7); <it>MTHFD1 </it>(rs2236224) OR = 1.7 (1.1–2.7); <it>MTHFD1 </it>(hcv11462908) OR = 0.2 (0–0.9); <it>MTHFD2 </it>(rs702465) OR = 0.6 (0.4–0.9); <it>MTHFD2 </it>(rs7571842) OR = 0.6 (0.4–0.9); <it>MTHFR </it>(rs1801133) OR = 2.0 (1.2–3.1); <it>MTRR </it>(rs162036) OR = 3.0 (1.5–5.9); <it>MTRR </it>(rs10380) OR = 3.4 (1.6–7.1); <it>MTRR </it>(rs1801394) OR = 0.7 (0.5–0.9); <it>MTRR </it>(rs9332) OR = 2.7 (1.3–5.3); <it>TYMS </it>(rs2847149) OR = 2.2 (1.4–3.5); <it>TYMS </it>(rs1001761) OR = 2.4 (1.5–3.8); and <it>TYMS </it>(rs502396) OR = 2.1 (1.3–3.3). However, multiple SNPs observed for a given gene showed evidence of linkage disequilibrium indicating that the observed SNPs were not individually contributing to risk. We did not observe any ORs with confidence intervals that did not include 1.0 for any of the studied SNPs with conotruncal heart defects. Haplotype reconstruction showed statistical evidence of nonrandom associations with <it>TYMS</it>, <it>MTHFR</it>, <it>BHMT </it>and <it>MTR </it>for spina bifida.</p> <p>Conclusion</p> <p>Our observations do not implicate a particular folate transport or metabolism gene to be strongly associated with risks for spina bifida or conotruncal defects.</p