Exploring HTTP Header Manipulation in the Wild

Headers are a critical part of HTTP. It has been shown that they are increasingly subject to middlebox manipulation. Although this is well known, little is understood about the general regional and network trends that underpin these manipulations. In this paper, we collect data on thousands of networks to understand how they intercept HTTP headers in-the-wild. Our analysis reveals that 25% of measured ASes modify HTTP headers. Beyond this, we witness distinct trends amongst different regions and AS types; for example, we observe high numbers of cache headers in poorly connected regions. Finally, we perform an in-depth analysis of types of manipulations to characterise how they differ across continents

The genetics of the Lp antigen

The frequency distribution of the quantitative activity of the Lp antigen was found to be bimodal. It is hypothesized that a major genetic factor is operating to determine the modes.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/66117/1/j.1469-1809.1974.tb01991.x.pd

Runs of homozygosity implicate autozygosity as a schizophrenia risk factor

Autozygosity occurs when two chromosomal segments that are identical from a common ancestor are inherited from each parent. This occurs at high rates in the offspring of mates who are closely related (inbreeding), but also occurs at lower levels among the offspring of distantly related mates. Here, we use runs of homozygosity in genome-wide SNP data to estimate the proportion of the autosome that exists in autozygous tracts in 9,388 cases with schizophrenia and 12,456 controls. We estimate that the odds of schizophrenia increase by ~17% for every 1% increase in genome-wide autozygosity. This association is not due to one or a few regions, but results from many autozygous segments spread throughout the genome, and is consistent with a role for multiple recessive or partially recessive alleles in the etiology of schizophrenia. Such a bias towards recessivity suggests that alleles that increase the risk of schizophrenia have been selected against over evolutionary time

Fixing extraction through conservation : on crises, fixes and the production of shared value and threat

We are currently witnessing a global trend of intensifying and deepening relationships between extractive companies and biodiversity conservation organisations that warrants closer scrutiny. Although existing literature has established that these two sectors often share the same space and rely on similar logics, it is increasingly common to find biodiversity conservation being carried out through partnerships between extractive and conservation actors. In this article, we explore what this cooperation achieves for both sectors. Using illustrative examples of extractive-conservation collaboration across sub-Saharan Africa, we argue that new entanglements between extractive and conservation actors are motivated by multiple purposes. First, partnering with conservation actors serves as a spatial and socio-ecological fix for extractive companies in response to multiple crises that threaten the sector's productivity. Second, new forms of collaboration between extractive and conservation actors create pathways for both sectors to produce new value from nature. For the extractive sector, creating new value from nature works as a further fix to capitalist crises whereas, for the conservation sector, producing value through nature amounts to new opportunities for capital accumulation. Importantly, working together to produce shared value from nature within and beyond extractive concessions secures both sectors' control over the means of production. Theoretically, our analysis links literature on value in capitalist nature with that on spatial and socio-ecological fixes

Children’s experiences following a CBT intervention to reduce dental anxiety: one year on

Objective: To investigate children’s ongoing experiences of dental care and use of strategies to manage their dental anxiety following cognitive behavioural therapy (CBT). Design: A child self-completed postal questionnaire. Settings: Hospital, community and general dental practice. Subjects: Questionnaires were sent to 44 children, aged 10-17 years who had been referred to specialist services due to their dental anxiety. Intervention: Children had all previously received a guided CBT self-help intervention to reduce their dental anxiety and, on completion of treatment, had been discharged to their referring dentist. Questionnaires were sent out 12-18 months later to ascertain dental attendance patterns and application of any strategies learnt from the previous CBT intervention. Results: 22 responses (50%) were received from 16 girls and 6 boys. 82% had subsequently accessed follow up care with a general dental practitioner and over half of these had undergone a dental procedure, other than a check-up. 91% reported feeling less worried about dental visits, than previously, and described a change in cognition, behaviours, and feelings that allowed them to manage their anxiety better. Conclusions: CBT has positive immediate and longitudinal effects in reducing children’s dental anxiety. The challenge of adopting this evidence-based approach within primary care settings remains

Integration of multiple data sources to prioritize candidate genes using discounted rating system

Background: Identifying disease gene from a list of candidate genes is an important task in bioinformatics. The main strategy is to prioritize candidate genes based on their similarity to known disease genes. Most of existing gene prioritization methods access only one genomic data source, which is noisy and incomplete. Thus, there is a need for the integration of multiple data sources containing different information. Results: In this paper, we proposed a combination strategy, called discounted rating system (DRS). We performed leave one out cross validation to compare it with N-dimensional order statistics (NDOS) used in Endeavour. Results showed that the AUC (Area Under the Curve) values achieved by DRS were comparable with NDOS on most of the disease families. But DRS worked much faster than NDOS, especially when the number of data sources increases. When there are 100 candidate genes and 20 data sources, DRS works more than 180 times faster than NDOS. In the framework of DRS, we give different weights for different data sources. The weighted DRS achieved significantly higher AUC values than NDOS. Conclusion: The proposed DRS algorithm is a powerful and effective framework for candidate gene prioritization. If weights of different data sources are proper given, the DRS algorithm will perform better