2,392 research outputs found
The quantitative measure and statistical distribution of fame
Fame and celebrity play an ever-increasing role in our culture. However,
despite the cultural and economic importance of fame and its gradations, there
exists no consensus method for quantifying the fame of an individual, or of
comparing that of two individuals. We argue that, even if fame is difficult to
measure with precision, one may develop useful metrics for fame that correlate
well with intuition and that remain reasonably stable over time. Using datasets
of recently deceased individuals who were highly renowned, we have evaluated
several internet-based methods for quantifying fame. We find that some
widely-used internet-derived metrics, such as search engine results, correlate
poorly with human subject judgments of fame. However other metrics exist that
agree well with human judgments and appear to offer workable, easily accessible
measures of fame. Using such a metric we perform a preliminary investigation of
the statistical distribution of fame, which has some of the power law character
seen in other natural and social phenomena such as landslides and market
crashes. In order to demonstrate how such findings can generate quantitative
insight into celebrity culture, we assess some folk ideas regarding the
frequency distribution and apparent clustering of celebrity deaths.Comment: 17 pages, 6 figure
Euglycemic diabetic ketoacidosis secondary to Sodium Glucose 2 Transport Inhibitor: a case report
The purpose of this case report is to highlight the emergence of a rare adverse drug reaction (ADR), euglycemic diabetic ketoacidosis (EDKA), associated with the use of sodium glucose transport 2 (SGLT2) inhibitors.EDKA is a rare and often misdiagnosed condition, due to the absence of hyperglycemia, but represents a life-threatening emergency. We present a unique case of a 35-year-old female patient with a past medical history of diabetes and recent diagnosis of Hashimoto’s thyroiditis. The primary objective is to provide valuable insights and education to the medical community regarding this infrequent yet significant complication. Ultimately, the goal is to enhance future patient care by improving awareness and promoting informed decision-making in EDKA cases involving SGLT2 inhibitors
Constraining Dark Matter Substructure With Gaia Wide Binaries
We use a catalogue of stellar binaries with wide separations (up to 1 pc)
identified by the Gaia satellite to constrain the presence of extended
substructure within the Milky Way galaxy. Heating of the binaries through
repeated encounters with substructure results in a characteristic distribution
of binary separations, allowing constraints to be placed independent of the
formation mechanism of wide binaries. Across a wide range of subhalo density
profiles, we show that subhalos with masses and
characteristic length scales similar to the separation of these wide binaries
cannot make up 100% of the Galaxy's dark matter. Constraints weaken for
subhalos with larger length scales and are dependent on their density profiles.
For such large subhalos, higher central densities lead to stronger constraints.
Subhalos with density profiles similar to those expected from cold dark matter
must be at least times denser than predicted by simulation to be
constrained by the wide binary catalogue.Comment: 21 pages, 23 figure
Automated Scenario Generation Environment
Report describes IST\u27s investigation into the feasibility of automating the process of planning and scenario generation for large scale (joint level) simulation exercises and development of an architecture for that purpose
Cosmic Gamma-Ray Bursts as a Probe of Star Formation History
The cosmic gamma-ray burst (GRB) formation rate, as derived from the
variability-luminosity relation for long-duration GRBs, is compared with the
cosmic star formation rate. If GRBs are related to the collapse of massive
stars, one expects the GRB rate to be approximately proportional to the star
formation rate. We found that these two rates have similar slopes at low
redshift. This suggests that GRBs do indeed track the star formation rate of
the Universe, which in turn implies that the formation rate of massive stars
that produce GRBs is proportional to the total star formation rate. It also
implies that we might be able to use GRBs as a probe of the cosmic star
formation rate at high redshift. We find that the cosmic star formation rate
inferred from the variability-luminosity relation increases steeply with
redshift at z > 3. This is in apparent contrast to what is derived from
measurements of the cosmic star formation rate at high redshift from optical
observations of field galaxies, suggesting that much high-z star formation is
being missed in the optical surveys, even after corrections for dust extinction
have been made.Comment: 4 pages, 1 figure, talk given at the CAPP2000 Conference on Cosmology
and Particle Physics, Verbier, Switzerland, eds. J. Garcia-Bellido, R. Durrer
and M. Shaposhnikov, (AIP,2001
Crystallization and preliminary X-ray diffraction analysis of levansucrase (LsdA) from Gluconacetobacter diazotrophicus SRT4
The endophytic bacterium Gluconacetobacter diazotrophicus SRT4 secretes a constitutively expressed levansucrase (LsdA; EC 2.4.1.10), which converts sucrose to fructo-oligosaccharides and levan. Fully active LsdA was purified to high homogeneity by non-denaturing reversed-phase HPLC and was crystallized at room temperature by the hanging-drop vapour-diffusion method using ammonium sulfate and ethanol as precipitants. The crystals are extremely sensitive, but native data have been collected to 2.5 A under cryogenic conditions using synchrotron radiation. LsdA crystals belong to the orthorhombic space group P22(1)2(1) or P2(1)2(1)2, with unit-cell parameters a = 53.80, b = 119.39, c = 215.10 A
The relationship of leader behaviors and loci of control.
The principal problem of the study was the following: Are the leader behaviors of business administration graduate students and educational administration graduate students related to their loci of control? The theoretical construct of leader behaviors in the study was defined by the theory of leader role differentiation derived from the Ohio State Leadership Studies and was measured by the Leader Behavior Description Questionnaire-Form XII. The theoretical construct of locus of control was defined by social learning theory as explained by Julian B. Rotter and was measured by Helena Levenson's Multidimensional Locus of Control Scale. Additionally, the theoretical construct of interpersonal behavior as defined by Will Schutz's FIRO theory and measured by the Fundamental Interpersonal Relations Orientation-Behavior Scales was used to find out if interpersonal behaviors were related to either leader behaviors or loci of control.Three conclusions were derived from the findings in the study: (1)The contention supported by researchers associated with the Ohio State Leadership Studies that there are two basic leader behavior dimensions, Initiating Structure and Consideration, was not supported by the findings in the study. It appears that there may be more than two major dimensions, namely, a dimension which focuses on the aspects of the situation. (2)The findings showed that more variables were involved in the composition of leader behaviors for educational administration respondents than business administration respondents. (3)The findings showed that a relationship did exist between leader behaviors and loci of control for the 154 respondents, for example, Internality was the best predictor of the leader behaviors for the respondents in the study.The statistical plan for the study included the following types of statistics: (a)Pearson product moment correlational analyses; (b)Single classification analyses of variance; (c)Median split analyses; (d)Canonical correlational analyses; (e)Factor analysis; and (f)Multiple linear regression analyses. The most productive statistical analyses were the Pearson product moment correlational analyses and multiple linear regression analyses. The data gathered for 21 scales or variables on 154 graduate students from the University of Oklahoma showed the following results: (1) Business administration respondents and educational administration respondents perceived themselves as being internally-controlled, although the educational administration respondents showed a greater inclination to seek their loci of control in Powerful Others and Chance orientations. (2)The characteristics of the LBDQ scale of Consideration were statistically significant with the characteristics of Internality for educational administration respondents only. (3)The characteristics of the LBDQ scale of Initiating Structure were not statistically significant with any of the locus of control scales for either group of respondents. (4)The factor analysis of the twelve LBDQ scales yielded three factor scores which should be researched further. Of particular interest was the third factor score which was labeled the System-Oriented Dimension. When the third factor score was identified as the criterion variable and the locus of control scales and interpersonal behavior scales were used as predictor variables, the predictor variables yielded a multiple R of .81 and an R square of .66. These predictor variables were statistically significant at the .001 alpha level. (5)The characteristics of the interpersonal behavior of Wanted Control were statistically significant and inversely related to nine LBDQ scales for the educational administration respondents. Also the scores on Wanted Control for educational administration respondents were low. Researchers who are interested in the characteristics of interpersonal behaviors, especially Wanted Control, may want to do further research on these findings
International Respiratory Infections Society COVID Research Conversations: Podcast 2 with Dr. Michael S. Niederman and Dr. Edward J. Schenck
Section(s) Topics
1–4 Introductions
5 COVID-19 in New York City
6–7 Telemedicine, long-term sequelae
8 Development of a multi-disciplinary ICU team
9–10 Treatment of ARDS, COVID-19 pathogenesis
11–12 Prioritizing treatment at research
13 Challenges in tracing the natural history of severe COVID-19
14–15 Experience with mechanically ventilated patients; non-pulmonary organ failure
16–17 Mapping COVID-19 trajectories by SOFA score
18–20 Findings: additive organ dysfunction, improving vs. worsening trajectory
21 ARDS therapeutic approaches
22 Clinical trials involving Cornell
23–25 Lessons learned: patient care, research, education, caring for critical care workers
26–30 2021 predictions: improved therapies and research, endemic COVID-19, vaccines
31–33 Prioritizing research projects at Cornell
34–38 Explanations for caseload reduction
39–43 Thanks and sign-of
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