Facebook Profiles and Usage as Indicators of Personality

The online social networking website, Facebook, has greatly changed the way the world communicates. Face-to-face interactions have been replaced by wall posts, status updates and friends liking posts or leaving comments. This study looks at how certain cues on Facebook profiles relate to personality traits, specifically, extraversion, conscientiousness and emotional stability. Three hypotheses focused on profile photos and how frequently the users change their photo. I predicted that 1) extraversion scores would be higher for participants who use a party scene as their profile photo, 2) conscientiousness scores would be lower for these same participants, and 3) the emotional stability scores would be negatively related to profile photo changing frequency. A total of 170 first year college students at Bryant University were surveyed about personality traits and Facebook usage. Out of this sample, 59 users provided access to their profiles and profile picture for data coding. The first hypothesis, that extraversion and party photos are positively related, was supported. The other two were not. However, additional analyses using the self-reported behaviors from the Facebook usage survey identified several other Facebook characteristics and behaviors that could be used as an indicator for each of the three personality traits studied

Decreasing Incidents of High School Cyberbullying

With the Internet being an ever-growing part of everyone’s lives, the nature of bullying has evolved. Cyberbullying is a new problem with far reaching implications and is a problem that is growing fast. However, there is a limited amount of research available. Most of the research has been conducted from 2007 until the present with little research available before 2001. The purpose of this study was to decrease the percentage of incidents (students participating and students victimized) of cyberbullying at a public high school in a large school, suburban school district, in the southeastern region of the United States, by implementing various interventions. The sample population was a nonprobability convenience sample. The sample was comprised of 512 students for the pre-survey and 498 for the post-survey, in grades 9-12. A pre-survey was administered at the beginning of the study to determine the prevalence of cyberbullying victimization and perpetration. The interventions occurred over a five-month period and included: advisement lessons, a book display in the media center, an anti-cyberbullying student pledge, informational bulletin board, digital brochures, and an assembly with the district attorney. A post-survey was administered at the end of the five-month period of the study to determine the prevalence of cyberbullying in the sample population. The difference between the pre and post responses was used to determine the effectiveness of the interventions. While there was a decrease in reports of bystander experiences and cyberbullying participation, there was an increase of 1-3% in cyberbullying victimization, specific victimization experiences, and specific perpetration behaviors

Monitoring student creative capacity: using network visualisation to evaluate pedagogical practice

This paper explores how research in the fields of Social Network Analysis (SNA) and Business can be applied to monitoring the development of student creative capacity

Teaching smarter: how mining ICT data can inform and improve learning and teaching practice

The trend to greater adoption of online learning in higher education institutions means an increased opportunity for instructors and administrators to monitor student activity and interaction with the course content and peers. This paper demonstrates how the analysis of data captured from various IT systems could be used to inform decision making process for university management and administration. It does so by providing details of a large research project designed to identify the range of applications for LMS derived data for informing strategic decision makers and teaching staff. The visualisation of online student engagement/effort is shown to afford instructors with early opportunities for providing additional student learning assistance and intervention – when and where it is required. The capacity to establish early indicators of ‘at-risk’ students provides timely opportunities for instructors to re-direct or add resources to facilitate progression towards optimal patterns of learning behaviour. The project findings provide new insights into student learning that complement the existing array of evaluative methodologies, including formal evaluations of teaching. Thus the project provides a platform for further investigation into new suites of diagnostic tools that can, in turn, provide new opportunities to inform continuous, sustained improvement of pedagogical practice

Analysis of therapy monitoring in the International Congenital Adrenal Hyperplasia Registry

Biomarkers; Congenital adrenal hyperplasia; HydrocortisoneBiomarcadores; Hiperplasia suprarrenal congénita; HidrocortisonaBiomarcadors; Hiperplàsia suprarenal congènita; HidrocortisonaObjective Congenital adrenal hyperplasia (CAH) requires exogenous steroid replacement. Treatment is commonly monitored by measuring 17-OH progesterone (17OHP) and androstenedione (D4). Design Retrospective cohort study using real-world data to evaluate 17OHP and D4 in relation to hydrocortisone (HC) dose in CAH patients treated in 14 countries. Patients Pseudonymized data from children with 21-hydroxylase deficiency (21OHD) recorded in the International CAH Registry. Measurements Assessments between January 2000 and October 2020 in patients prescribed HC were reviewed to summarise biomarkers 17OHP and D4 and HC dose. Longitudinal assessment of measures was carried out using linear mixed-effects models (LMEM). Results Cohort of 345 patients, 52.2% female, median age 4.3 years (interquartile range: 3.1–9.2) were taking a median 11.3 mg/m2/day (8.6–14.4) of HC. Median 17OHP was 35.7 nmol/l (3.0–104.0). Median D4 under 12 years was 0 nmol/L (0–2.0) and above 12 years was 10.5 nmol/L (3.9–21.0). There were significant differences in biomarker values between centres (p < 0.05). Correlation between D4 and 17OHP was good in multiple regression with age (p < 0.001, R2 = 0.29). In longitudinal assessment, 17OHP levels did not change with age, whereas D4 levels increased with age (p  0.05). Multivariate LMEM showed HC dose decreasing by 1.0 mg/m2/day for every 1 point increase in weight standard deviation score. Discussion Registry data show large variability in 17OHP and D4 between centres. 17OHP correlates with D4 well when accounting for age. Prescribed HC dose per body surface area decreased with weight gain.This project has received support from the I-CAH Registry project that receives unrestricted education grants from Diurnal Ltd and Neurocrine Biosciences. The initial development of the Registry was supported by the Medical Research Council (G1100236), the Seventh European Union Framework Program (201444) and the European Society for Paediatric Endocrinology Research Unit. NRL is funded by an NIHR Academic Clinical Fellowship. SRA is supported by the Gardiner Lectureship at the University of Glasgow. This study was funded by an award to NPK from the DFG, German Research Foundation (KR3363/3-1)

Unusual raptor nests around the world

From surveys in many countries, we report using unusual nesting materials (e.g., paper money, rags, metal, antlers, and large bones) and unusual nesting situations. For example, we documented nests of Steppe Eagles [Aquila nipalensis] and Upland Buzzards [Buteo hemilasius] on the ground beside well-traveled roads, Saker Falcon [Falco cherrug] eyries in attics and a cistern, and Osprey [Pandian haliaetus] nests on the masts of boats and on a suspended automobile. Other records include a Golden Eagle [A. chrysaelos] nest 7.0 m in height, believed to be the tallest nest ever described, and, for the same species, we report nesting in rudimentary, nests. Some nest sites are within a Few meters of known predators or competitors. These unusual observations may be important in revealing the plasticity of a species' behavioral repertoire

Spectroscopic Characterization of Galaxy Clusters in RCS-1: Spectroscopic Confirmation, Redshift Accuracy, and Dynamical Mass–Richness Relation

We present follow-up spectroscopic observations of galaxy clusters from the first Red-sequence Cluster Survey (RCS-1). This work focuses on two samples, a lower redshift sample of ∼30 clusters ranging in redshift from z ∼ 0.2–0.6 observed with multiobject spectroscopy (MOS) on 4–6.5-m class telescopes and a z ∼ 1 sample of ∼10 clusters 8-m class telescope observations. We examine the detection efficiency and redshift accuracy of the now widely used red-sequence technique for selecting clusters via overdensities of red-sequence galaxies. Using both these data and extended samples including previously published RCS-1 spectroscopy and spectroscopic redshifts from SDSS, we find that the red-sequence redshift using simple two-filter cluster photometric redshifts is accurate to σz ≈ 0.035(1 + z) in RCS-1. This accuracy can potentially be improved with better survey photometric calibration. For the lower redshift sample, ∼5 per cent of clusters show some (minor) contamination from secondary systems with the same red-sequence intruding into the measurement aperture of the original cluster. At z ∼ 1, the rate rises to ∼20 per cent. Approximately ten  per cent of projections are expected to be serious, where the two components contribute significant numbers of their red-sequence galaxies to another cluster. Finally, we present a preliminary study of the mass–richness calibration using velocity dispersions to probe the dynamical masses of the clusters. We find a relation broadly consistent with that seen in the local universe from the WINGS sample at z ∼ 0.05

CryoSat Ice Baseline-D validation and evolutions

The ESA Earth Explorer CryoSat-2 was launched on 8 April 2010 to monitor the precise changes in the thickness of terrestrial ice sheets and marine floating ice. To do that, CryoSat orbits the planet at an altitude of around 720 km with a retrograde orbit inclination of 92∘ and a quasi repeat cycle of 369 d (30 d subcycle). To reach the mission goals, the CryoSat products have to meet the highest quality standards to date, achieved through continual improvements of the operational processing chains. The new CryoSat Ice Baseline-D, in operation since 27 May 2019, represents a major processor upgrade with respect to the previous Ice Baseline-C. Over land ice the new Baseline-D provides better results with respect to the previous baseline when comparing the data to a reference elevation model over the Austfonna ice cap region, improving the ascending and descending crossover statistics from 1.9 to 0.1 m. The improved processing of the star tracker measurements implemented in Baseline-D has led to a reduction in the standard deviation of the point-to-point comparison with the previous star tracker processing method implemented in Baseline-C from 3.8 to 3.7 m. Over sea ice, Baseline-D improves the quality of the retrieved heights inside and at the boundaries of the synthetic aperture radar interferometric (SARIn or SIN) acquisition mask, removing the negative freeboard pattern which is beneficial not only for freeboard retrieval but also for any application that exploits the phase information from SARIn Level 1B (L1B) products. In addition, scatter comparisons with the Beaufort Gyre Exploration Project (BGEP; https://www.whoi.edu/beaufortgyre, last access: October 2019) and Operation IceBridge (OIB; Kurtz et al., 2013) in situ measurements confirm the improvements in the Baseline-D freeboard product quality. Relative to OIB, the Baseline-D freeboard mean bias is reduced by about 8 cm, which roughly corresponds to a 60 % decrease with respect to Baseline-C. The BGEP data indicate a similar tendency with a mean draft bias lowered from 0.85 to −0.14 m. For the two in situ datasets, the root mean square deviation (RMSD) is also well reduced from 14 to 11 cm for OIB and by a factor of 2 for the BGEP. Observations over inland waters show a slight increase in the percentage of good observations in Baseline-D, generally around 5 %–10 % for most lakes. This paper provides an overview of the new Level 1 and Level 2 (L2) CryoSat Ice Baseline-D evolutions and related data quality assessment, based on results obtained from analyzing the 6-month Baseline-D test dataset released to CryoSat expert users prior to the final transfer to operations