417,686 research outputs found
Stellar populations of early-type galaxies in different environments I. Line-strength indices
Aims: This paper commences a series devoted to the study of the stellar
content of early-type galaxies. The goal of the series is to set constraints on
the evolutionary status of these objects.
Methods: In this paper we describe the details of the galaxy sample, the
observations, and the data reduction. Line-strength indices and velocity
dispersions sigma are measured in 98 early-type galaxies drawn from different
environments, and the relation of the indices with the velocity dispersion
analysed in detail.
Results: The present sample indicates that some of the index-sigma relations
depend on galaxy environment. In particular, the slope of the relation between
Balmer lines and sigma is steeper for galaxies in the Virgo cluster, small
groups, and in the field than for galaxies in the Coma cluster. In several
indices there is also a significant offset in the zero point between the
relations defined by the different subsamples. The slopes of the index-sigma
relation for the Virgo and low-density environment galaxies are explained by a
variation of both age and metallicity with velocity dispersion, as previously
noted in other studies. For the galaxies in the Coma cluster, however, the
relation of the indices with sigma only requires a variation of the abundance
along the sigma sequence. In agreement with other studies we find that the
models that better reproduce the slopes are those in which the alpha elements
vary more than the Fe-peak elements along the sigma sequence, while, at a given
sigma, older galaxies show an higher alpha/Fe ratio.
Conclusions: The results can be explained assuming that galaxies in the Coma
cluster have experienced a truncated star formation and chemical enrichment
history compared to a more continuous time-extended history for their
counterparts in lower density environments.Comment: accepted for publication in A&
Will This Paper Increase Your h-index? Scientific Impact Prediction
Scientific impact plays a central role in the evaluation of the output of
scholars, departments, and institutions. A widely used measure of scientific
impact is citations, with a growing body of literature focused on predicting
the number of citations obtained by any given publication. The effectiveness of
such predictions, however, is fundamentally limited by the power-law
distribution of citations, whereby publications with few citations are
extremely common and publications with many citations are relatively rare.
Given this limitation, in this work we instead address a related question asked
by many academic researchers in the course of writing a paper, namely: "Will
this paper increase my h-index?" Using a real academic dataset with over 1.7
million authors, 2 million papers, and 8 million citation relationships from
the premier online academic service ArnetMiner, we formalize a novel scientific
impact prediction problem to examine several factors that can drive a paper to
increase the primary author's h-index. We find that the researcher's authority
on the publication topic and the venue in which the paper is published are
crucial factors to the increase of the primary author's h-index, while the
topic popularity and the co-authors' h-indices are of surprisingly little
relevance. By leveraging relevant factors, we find a greater than 87.5%
potential predictability for whether a paper will contribute to an author's
h-index within five years. As a further experiment, we generate a
self-prediction for this paper, estimating that there is a 76% probability that
it will contribute to the h-index of the co-author with the highest current
h-index in five years. We conclude that our findings on the quantification of
scientific impact can help researchers to expand their influence and more
effectively leverage their position of "standing on the shoulders of giants."Comment: Proc. of the 8th ACM International Conference on Web Search and Data
Mining (WSDM'15
Measuring co-authorship and networking-adjusted scientific impact
Appraisal of the scientific impact of researchers, teams and institutions
with productivity and citation metrics has major repercussions. Funding and
promotion of individuals and survival of teams and institutions depend on
publications and citations. In this competitive environment, the number of
authors per paper is increasing and apparently some co-authors don't satisfy
authorship criteria. Listing of individual contributions is still sporadic and
also open to manipulation. Metrics are needed to measure the networking
intensity for a single scientist or group of scientists accounting for patterns
of co-authorship. Here, I define I1 for a single scientist as the number of
authors who appear in at least I1 papers of the specific scientist. For a group
of scientists or institution, In is defined as the number of authors who appear
in at least In papers that bear the affiliation of the group or institution. I1
depends on the number of papers authored Np. The power exponent R of the
relationship between I1 and Np categorizes scientists as solitary (R>2.5),
nuclear (R=2.25-2.5), networked (R=2-2.25), extensively networked (R=1.75-2) or
collaborators (R<1.75). R may be used to adjust for co-authorship networking
the citation impact of a scientist. In similarly provides a simple measure of
the effective networking size to adjust the citation impact of groups or
institutions. Empirical data are provided for single scientists and
institutions for the proposed metrics. Cautious adoption of adjustments for
co-authorship and networking in scientific appraisals may offer incentives for
more accountable co-authorship behaviour in published articles.Comment: 25 pages, 5 figure
Maternal haemodynamic function differs in preâeclampsia when it is associated with a smallâforâgestationalâage newborn: a prospective cohort study
Objective
To describe maternal haemodynamic differences in gestational hypertension with smallâforâgestationalâage babies (HDP + SGA), gestational hypertension with appropriateâforâgestationalâage babies (HDPâonly) and control pregnancies.
Design
Prospective cohort study.
Setting
Tertiary Hospital, UK.
Population
Women with gestational hypertension and healthy pregnant women.
Methods
Maternal haemodynamic indices were measured using a nonâinvasive Ultrasound Cardiac Output Monitor (USCOMâ1AÂŽ) and corrected for gestational age and maternal characteristics using deviceâspecific reference ranges.
Main outcome measures
Maternal cardiac output, stroke volume, systemic vascular resistance.
Results
We included 114 HDP + SGA, 202 HDPâonly and 401 control pregnancies at 26â41 weeks of gestation. There was no significant difference in the mean arterial blood pressure (110 versus 107 mmHg, P = 0.445) between the two HDP groups at presentation. Pregnancies complicated by HDP + SGA had significantly lower median heart rate (76 versus 85 bpm versus 83 bpm), lower cardiac output (0.85 versus 0.98 versus 0.97 MoM) and higher systemic vascular resistance (1.4 versus 1.0 versus 1.2 MoM) compared with control and HDPâonly pregnancies, respectively (all P < 0.05).
Conclusion
Women with HDP + SGA present with more severe haemodynamic dysfunction than HDPâonly. Even HDPâonly pregnancies exhibit impaired haemodynamic indices compared with normal pregnancies, supporting a role of the maternal cardiovascular system in gestational hypertension irrespective of fetal size. Central haemodynamic changes may play a role in the pathogenesis of preâeclampsia and should be considered alongside placental aetiology
Improvement of Possibilities of Treating Pneumonias in Patients on the Background of Acute Myeloblast Leucosis in the Aspect of Immunoresistance Mechanisms
Aim: to analyze the influence of the immunomodeling preparation glutamyl-cysteinyl-glycine disodium (glutoxim) on indices of cellular and humoral immunity in patients with pneumonias on the background of acute myeloblast leucosis to form new approaches to the improvement of treating pneumonias in patients with immunity disorders.Materials and methods. The research group - 37 patients with pneumonia on the background of acute myeloblast leucosis, who underwent the program treatment on the base of the hematological center âMI city multi-profile clinical hospital â4â Dnipro city, 2014-2015. The age of patients from 23 to 45 years old; 10 women and 27 men. The diagnosis of leucosis and pneumonia forms was verified corresponding to modern conventional clinical and morphological criteria. Patients from the main research group (n = 18) were prescribed with glutamyl-cysteinyl-glycine disodium by the scheme 2 ml of 3 % (60 mg) i/v â 10 in mornings, summary dose - 300 mg. Indications of immunograms were studied: Т-lymphocytes, Đ-lymphocytes and their subpopulation composition (CD3 +, CD4 +, CD8 +, CD19 +, CD19-, CD16 +, CD56+) using the flowing laser cytofluorimetry. Immunoglobulin levels were determined by the method of immunoturbometry. Indications of immunograms were assessed in the treatment dynamics. The statistical processing â using packages of applied programs ÂŤExcelÂť and ÂŤStatistic 10Âť.Results. According to the analysis of indices of the cellular and humoral immunity of patients with pneumonia on the background of acute myeloblast leucosis, the process of glutamyl-cysteinyl-glycine disodium use proved the statistically reliable activation of phagocytosis and anti-infectious defense indices. The dynamics of humoral immunity indices also proved the positive influence on the state of the immune reactivity of the organism with the reliable increase of ĐgĐ and Đg Đ, responsible for neutralization of infectious agents and bacterial toxins.Conclusions: The use of the ummunomodeling preparation glutamyl-cysteinyl-glycine disodium (glutoxim) in patients with pneumonia on the background of acute myeloblast leucosis results in the improvement of indices of cellular and humoral immunity and phagocytosis activation. The research results prove the possibility of optimization of approaches to treating pneumonias in patients with severe immunity disorders by using immunomedeling therapy by glutamyl-cysteinyl-glycine disodium (glutoxim)
Robotic and clinical evaluation of upper limb motor performance in patients with Friedreich's Ataxia: an observational study
Background: Friedreichâs ataxia (FRDA) is the most common hereditary autosomal recessive form of ataxia. In this disease there is early manifestation of gait ataxia, and dysmetria of the arms and legs which causes impairment in daily activities that require fine manual dexterity. To date there is no cure for this disease. Some novel therapeutic approaches are ongoing in different steps of clinical trial. Development of sensitive outcome measures is crucial to prove therapeutic effectiveness. The aim of the study was to assess the reliability and sensitivity of quantitative and objective assessment of upper limb performance computed by means of the robotic device and to evaluate the correlation with clinical and functional markers of the disease severity.
Methods: Here we assess upper limb performances by means of the InMotion Arm Robot, a robot designed for clinical neurological applications, in a cohort of 14 children and young adults affected by FRDA, matched for age
and gender with 18 healthy subjects. We focused on the analysis of kinematics, accuracy, smoothness, and submovements of the upper limb while reaching movements were performed. The robotic evaluation of upper
limb performance consisted of planar reaching movements performed with the robotic system. The motors of the robot were turned off, so that the device worked as a measurement tool. The status of the disease was scored
using the Scale for the Assessment and Rating of Ataxia (SARA). Relationships between robotic indices and a range of clinical and disease characteristics were examined.
Results: All our robotic indices were significantly different between the two cohorts except for two, and were highly and reliably discriminative between healthy and subjects with FRDA. In particular, subjects with FRDA
exhibited slower movements as well as loss of accuracy and smoothness, which are typical of the disease. Duration of Movement, Normalized Jerk, and Number of Submovements were the best discriminative indices, as they were directly and easily measurable and correlated with the status of the disease, as measured by SARA.
Conclusions: Our results suggest that outcome measures obtained by means of robotic devices can improve the sensitivity of clinical evaluations of patientsâ dexterity and can accurately and efficiently quantify changes over time in clinical trials, particularly when functional scales appear to be no longer sensitive
A review of the characteristics of 108 author-level bibliometric indicators
An increasing demand for bibliometric assessment of individuals has led to a
growth of new bibliometric indicators as well as new variants or combinations
of established ones. The aim of this review is to contribute with objective
facts about the usefulness of bibliometric indicators of the effects of
publication activity at the individual level. This paper reviews 108 indicators
that can potentially be used to measure performance on the individual author
level, and examines the complexity of their calculations in relation to what
they are supposed to reflect and ease of end-user application.Comment: to be published in Scientometrics, 201
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