1,151 research outputs found

    Rhythms of social interaction: messaging within a massive online network

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    We have analyzed the fully-anonymized headers of 362 million messages exchanged by 4.2 million users of Facebook, an online social network of college students, during a 26 month interval. The data reveal a number of strong daily and weekly regularities which provide insights into the time use of college students and their social lives, including seasonal variations. We also examined how factors such as school affiliation and informal online friend lists affect the observed behavior and temporal patterns. Finally, we show that Facebook users appear to be clustered by school with respect to their temporal messaging patterns

    Temporal Analysis of Activity Patterns of Editors in Collaborative Mapping Project of OpenStreetMap

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    In the recent years Wikis have become an attractive platform for social studies of the human behaviour. Containing millions records of edits across the globe, collaborative systems such as Wikipedia have allowed researchers to gain a better understanding of editors participation and their activity patterns. However, contributions made to Geo-wikis_wiki-based collaborative mapping projects_ differ from systems such as Wikipedia in a fundamental way due to spatial dimension of the content that limits the contributors to a set of those who posses local knowledge about a specific area and therefore cross-platform studies and comparisons are required to build a comprehensive image of online open collaboration phenomena. In this work, we study the temporal behavioural pattern of OpenStreetMap editors, a successful example of geo-wiki, for two European capital cities. We categorise different type of temporal patterns and report on the historical trend within a period of 7 years of the project age. We also draw a comparison with the previously observed editing activity patterns of Wikipedia.Comment: Submitte

    Navy and Polity: A 1963 Baseline

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    Although scholars employing cross cultural methodologies are making an increasing use of available data in various forms, their studies have not as yet dealt directly with military concerns

    Semantics, sensors, and the social web: The live social semantics experiments

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    The Live Social Semantics is an innovative application that encourages and guides social networking between researchers at conferences and similar events. The application integrates data and technologies from the Semantic Web, online social networks, and a face-to-face contact sensing platform. It helps researchers to find like-minded and influential researchers, to identify and meet people in their community of practice, and to capture and later retrace their real-world networking activities at conferences. The application was successfully deployed at two international conferences, attracting more than 300 users in total. This paper describes this application, and discusses and evaluates the results of its two deployment

    Augmenting Marine Food Production Through Fisheries Management and Mariculture

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    There is new aspiration of sustainable exploitation of marine resources and to achieve sustainable development goals (SDG 14) in recent years. In this context, this document delineates new scope of venturing into the blue economy relative to marine fisheries and mariculture. Potential interventions in marine fisheries include – (i) expansion of the commercial fishing area (beyond the 80 m depth) for harvesting high value fish species (such as tuna, lakkha), (ii) exploration for new fishing grounds and fisheries, (iii) value addition and reducing post-harvest losses, and (iv) assessment of fisheries stocks for estimation of potential yields and optimum sizes of harvest. Food production through mariculture mostly relies on – (i) domestication of new species (such as finfish: seabass, mullet, hilsa, grouper; crustaceans: mud crab; plants: seaweeds) for product diversification and risk reduction towards economic stability, (ii) production intensification (such as semi-intensive farming) and adoption of innovative fish/shellfish farming (such as marine cage culture, aquasilviculture, integrated multi-trophic aquaculture) to create new business opportunities, and (iii) live feeds (such as rotifers, artemia biomass) production for hatchery for sustaining the mariculture industry. Nevertheless, investments, knowledge, innovations, new technologies, new breeds and newly domesticated mariculture species can promise a blue revolution in Bangladesh

    The Performance Behaviour of a Grain Silo Foundation in Jeddah Supported on Stone Columns

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    This paper describes the ground treatment carried out and the subsequent load settlement behaviour of a grain silo in Jeddah, Saudi Arabia. Predicted performance based on the results of both SPT and cone penetration tests are compared with actual behaviour. The prediction based on the SPT results is poor, with the cone penetration analyses giving a significant improvement. A knowledge of cone resistance and hence modulus values for the full depth of influence of the silo would have further refined the prediction

    Hyperglycaemia and risk of adverse perinatal outcomes: Systematic review and meta-analysis

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    Objectives: To assess the association between maternal glucose concentrations and adverse perinatal outcomes in women without gestational or existing diabetes and to determine whether clear thresholds for identifying women at risk of perinatal outcomes can be identified. Design: Systematic review and meta-analysis of prospective cohort studies and control arms of randomised trials. Data sources: Databases including Medline and Embase were searched up to October 2014 and combined with individual participant data from two additional birth cohorts. Eligibility criteria for selecting studies: Studies including pregnant women with oral glucose tolerance (OGTT) or challenge (OGCT) test results, with data on at least one adverse perinatal outcome. Appraisal and data extraction: Glucose test results were extracted for OGCT (50 g) and OGTT (75 g and 100 g) at fasting and one and two hour post-load timings. Data were extracted on induction of labour; caesarean and instrumental delivery; pregnancy induced hypertension; pre-eclampsia; macrosomia; large for gestational age; preterm birth; birth injury; and neonatal hypoglycaemia. Risk of bias was assessed with a modified version of the critical appraisal skills programme and quality in prognostic studies tools. Results: 25 reports from 23 published studies and two individual participant data cohorts were included, with up to 207 172 women (numbers varied by the test and outcome analysed in the meta-analyses). Overall most studies were judged as having a low risk of bias. There were positive linear associations with caesarean section, induction of labour, large for gestational age, macrosomia, and shoulder dystocia for all glucose exposures across the distribution of glucose concentrations. There was no clear evidence of a threshold effect. In general, associations were stronger for fasting concentration than for post-load concentration. For example, the odds ratios for large for gestational age per 1 mmol/L increase of fasting and two hour post-load glucose concentrations (after a 75 g OGTT) were 2.15 (95% confidence interval 1.60 to 2.91) and 1.20 (1.13 to 1.28), respectively. Heterogeneity was low between studies in all analyses. Conclusions: This review and meta-analysis identified a large number of studies in various countries. There was a graded linear association between fasting and post-load glucose concentration across the whole glucose distribution and most adverse perinatal outcomes in women without pre-existing or gestational diabetes. The lack of a clear threshold at which risk increases means that decisions regarding thresholds for diagnosing gestational diabetes are somewhat arbitrary. Research should now investigate the clinical and cost-effectiveness of applying different glucose thresholds for diagnosis of gestational diabetes on perinatal and longer term outcomes

    Investigating the Influence that Service in a Pro Bono Clinic has on a First Full-Time Clinical Education Experience from the Perspective of Students and their Clinical Instructors

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    Purpose: Academic physical therapy programs strive to foster student readiness for full-time clinical education experiences in a variety of ways. This research looks at one program who has students participate in a student-run pro bono clinic for at least 60 hours prior to the first full-time clinic experience. The purpose of the study is to explore the influence that participation in this pro bono clinic has on a first full-time clinical education experience from the perspective of both the student and the clinical instructor (CI). Methods: Qualitative methodology was employed to gain the perspectives of 29 students and their respective CIs. Data collection included student journals and focus groups, and CI Likert-scale rankings and open-ended questions upon midterm calls. Data points were triangulated through iterative data analysis. Results: CIs rated students high in the eight categories that were triangulated to student data. The themes that were strongest among both students and Cis included comfort with client interaction, interaction with CIs, and cultural competency. Additional themes included documentation, interprofessional interaction, examination, clinical reasoning and intervention. An overarching theme was that students were well-prepared and functioning at high levels of competency for a first full-time clinical experience. Conclusions: Participation in a student-run pro bono clinic helps to facilitate student readiness for a first full-time clinical education experience according to both student perceptions and CI ratings

    Lattice sites of ion-implanted Li in diamond

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    Published in: Appl. Phys. Lett. 66 (1995) 2733-2735 citations recorded in [Science Citation Index] Abstract: Radioactive Li ions were implanted into natural IIa diamonds at temperatures between 100 K and 900 K. Emission channelling patterns of a-particles emitted in the nuclear decay of 8Li (t1/2 = 838 ms) were measured and, from a comparison with calculated emission channelling and blocking effects from Monte Carlo simulations, the lattice sites taken up by the Li ions were quantitatively determined. A fraction of 40(5)% of the implanted Li ions were found to be located on tetrahedral interstitial lattice sites, and 17(5)% on substitutional sites. The fractions of implanted Li on the two lattice sites showed no change with temperature, indicating that Li diffusion does not take place within the time window of our measurements.

    Enrichment and ranking of the YouTube tag space and integration with the Linked Data cloud

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    The increase of personal digital cameras with video functionality and video-enabled camera phones has increased the amount of user-generated videos on the Web. People are spending more and more time viewing online videos as a major source of entertainment and “infotainment”. Social websites allow users to assign shared free-form tags to user-generated multimedia resources, thus generating annotations for objects with a minimum amount of effort. Tagging allows communities to organise their multimedia items into browseable sets, but these tags may be poorly chosen and related tags may be omitted. Current techniques to retrieve, integrate and present this media to users are deficient and could do with improvement. In this paper, we describe a framework for semantic enrichment, ranking and integration of web video tags using Semantic Web technologies. Semantic enrichment of folksonomies can bridge the gap between the uncontrolled and flat structures typically found in user-generated content and structures provided by the Semantic Web. The enhancement of tag spaces with semantics has been accomplished through two major tasks: a tag space expansion and ranking step; and through concept matching and integration with the Linked Data cloud. We have explored social, temporal and spatial contexts to enrich and extend the existing tag space. The resulting semantic tag space is modelled via a local graph based on co-occurrence distances for ranking. A ranked tag list is mapped and integrated with the Linked Data cloud through the DBpedia resource repository. Multi-dimensional context filtering for tag expansion means that tag ranking is much easier and it provides less ambiguous tag to concept matching
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