Magnetic variation anomalies in northern England and southern Scotland

Single-station transfer functions linking the time variations of the vertical and horizontal components of the magnetic field at stations in northern England and southern Scotland have been compiled into a uniform data set. From hypothetical event analysis we show here that there are two distinct anomalies in the Borders region. One runs south-west to north-east, immediately to the south-east of the Southern Uplands Fault; the second follows the Northumberland Basin, and seems to exist because the conductive sedimentary rocks filling the basin create a link between the Irish and North Seas. If the Iapetus suture is marked by a conductivity anomaly, as has been suggested, these results place it beneath the Southern Uplands, unless it is masked by the surface conductor in the Northumberland Basin

Current concept of abdominal sepsis : WSES position paper

Peer reviewe

Evaluation of appendicitis risk prediction models in adults with suspected appendicitis

Background Appendicitis is the most common general surgical emergency worldwide, but its diagnosis remains challenging. The aim of this study was to determine whether existing risk prediction models can reliably identify patients presenting to hospital in the UK with acute right iliac fossa (RIF) pain who are at low risk of appendicitis. Methods A systematic search was completed to identify all existing appendicitis risk prediction models. Models were validated using UK data from an international prospective cohort study that captured consecutive patients aged 16–45 years presenting to hospital with acute RIF in March to June 2017. The main outcome was best achievable model specificity (proportion of patients who did not have appendicitis correctly classified as low risk) whilst maintaining a failure rate below 5 per cent (proportion of patients identified as low risk who actually had appendicitis). Results Some 5345 patients across 154 UK hospitals were identified, of which two‐thirds (3613 of 5345, 67·6 per cent) were women. Women were more than twice as likely to undergo surgery with removal of a histologically normal appendix (272 of 964, 28·2 per cent) than men (120 of 993, 12·1 per cent) (relative risk 2·33, 95 per cent c.i. 1·92 to 2·84; P < 0·001). Of 15 validated risk prediction models, the Adult Appendicitis Score performed best (cut‐off score 8 or less, specificity 63·1 per cent, failure rate 3·7 per cent). The Appendicitis Inflammatory Response Score performed best for men (cut‐off score 2 or less, specificity 24·7 per cent, failure rate 2·4 per cent). Conclusion Women in the UK had a disproportionate risk of admission without surgical intervention and had high rates of normal appendicectomy. Risk prediction models to support shared decision‐making by identifying adults in the UK at low risk of appendicitis were identified

Additional file 12: Table S12. of RNAseq analysis of ฮฑ-proteobacterium Gluconobacter oxydans 621H

Transcript abundance determined by using cufflinks and cuffnorm. (XLS 444 kb

Additional file 3: Table S3. of RNAseq analysis of ฮฑ-proteobacterium Gluconobacter oxydans 621H

List of sTSSs assigned to protein-coding ORFs. (XLSX 93 kb

Review of social media’s influence on Airbnb accommodation’s booking intention

The impact of social media on the tourism industry has great significance for all stakeholders. The purpose of this paper is to highlight and comprehend how social media’s (Social Networking and Review Sites) influences accommodation’s booking intention, with regards to Airbnb accommodation. To achieve the purpose, the paper focuses on exploring the scope of social media, comprehending the different levels of exposure or usage of social media by different generations, and analyzing the influence of social media in booking Airbnb accommodations. Through these objectives, it intends to emphasize the role of social media in the tourism industry, as well as brings out the benefits for tourists across the globe. This research expresses the factors that are considered to influence Airbnb booking intention through a conceptual framework. In analyzing the scope of choosing Airbnb as a traveler’s accommodation, this study also demonstrates that social media is a useful tool in improving not only the quality of business but also increasing the revenue