Headlines data for social media popularity prediction

This dataset is part of a larger project on using headlines to predict the social media popularity of news articles. The dataset consists of two headlines corpora -- The Guardian and New York Times -- collected in 2014 using news outlet APIs. Each corpus includes a unique headline identifier (to enable recreating the corpus by querying the relevant API), the extracted features (news values, style, metadata), and the corresponding popularity on Twitter and Facebook

Dielectron Measurements in STAR

Ultrarelativistic heavy-ion collisions provide a unique environment to study the properties of strongly interacting matter. Dileptons, which are not affected by the strong interactions, are an ideal penetrating probe. We present the dielectron results for p+p and Au+Au collisions at \sqrt{s_\mathrm{NN}}} =200 GeV, as measured by the STAR experiment. We discuss the prospects of dilepton measurements with the near-future detector upgrades, and the recent lower beam energy Au+Au measurements.Comment: Resonance Workshop at UT Austin (2012), 8 pages,15 figure

The mass and energy budget of Cassiopeia A

Further analysis of X-ray spectroscopy results recently obtained from the MOS CCD cameras on-board XMM-Newton provides a detailed description of the hot and cool X-ray emitting plasma in Cas A. Measurement of the Doppler broadening of the X-ray lines is consistent with the expected ion velocities, ~1500 km/s along the line of sight, in the post shock plasma. Assuming a constant total pressure throughout the remnant we estimate the total remnant mass as 10 Msun and the total thermal energy as 7E43 J. We derive the differential mass distribution as a function of ionisation age for both X-ray emitting components. This distribution is consistent with a hot component dominated by swept up mass heated by the primary shock and a cool component which are ablated clumpy ejecta material which were and are still being heated by interaction with the preheated swept up material. We calculate a balanced mass and energy budget for the supernova explosion giving 1E44 J in ejected mass; approximately 0.4 Msun of the ejecta were diffuse with an initial rms velocity of 15000 km/s while the remaining ~1.8 Msun were clumpy with an initial rms velocity of ~2400 km/s. Using the Doppler velocity measurements of the X-ray spectral lines we can project the mass into spherical coordinates about the remnant. This provides quantitative evidence for mass and energy beaming in the supernova explosion. The mass and energy occupy less than 4.5 sr (<40 % of the available solid angle) around the remnant and 64 % of the mass occurs in two jets within 45 degrees of a jet axis. We calculate a swept up mass of 7.9 Msun in the emitting plasma and estimate that the total mass lost from the progenitor prior to the explosion could be as high as ~20 Msun.Comment: 8 pages, 7 figures, submitted to Astronomy & Astrophysic

Knee Range of Motion: Reliability and Agreement of 3 Measurement Methods

We conducted a study to compare 3 methods of measuring knee range of motion: visual estimation by physicians, hand goniometry by physical therapists, and radiographic goniometry. We hypothesized that reliability would be high within and across all techniques. We found intrarater and interrater reliability to be satisfactory for visual estimation, hand goniometry, and radiographic goniometry. Interrater reliability across methods did not agree satisfactorily. Between-methods differences in estimating knee range of motion may result from variations in technique among physicians and physical therapists

Future Experiments in Relativistic Heavy Ion Collisions

The measurements at RHIC have revealed a new state of matter, which needs to be further characterized in order to better understand its implications for the early evolution of the universe and QCD. I will show that, in the near future, complementary key measurements can be performed at RHIC, LHC, and FAIR. I will focus on results than can be obtained using identified particles, a probe which has been the basis for this conference over the past three decades. The sophisticated detectors, built and planned, for all three accelerator facilities enable us to measure leptons, photons, muons as well as hadrons and resonances of all flavors almost equally well, which makes these experiments unprecedented precision tools for the comprehensive understanding of the physics of the early universe.Comment: 10 pages, 4 figures, Proceedings for Summary Talk at SQM 2007, Levoca, Slovakia, June 24-29, 200

High Resolution X-Ray Spectra of Capella: Initial Results from the Chandra High Energy Transmission Grating Spectrometer

High resolution spectra of the active binary Capella (G8 III + G1 III) covering the energy range 0.4-8.0 keV (1.5-30 Angstroms) show a large number of emission lines, demonstrating the performance of the HETGS. A preliminary application of plasma diagnostics provides information on coronal temperatures and densities. Lines arising from different elements in a range of ionization states indicate that Capella has plasma with a broad range of temperatures, from log T = 6.3 to 7.2, generally consistent with recent results from observations with the Extreme Ultraviolet Explorer (EUVE) and the Advanced Satellite for Cosmology and Astrophysics (ASCA). The electron density is determined from He-like O VII lines, giving the value N_e=10^10 cm^-3 at T_e=2*10^6 K; He-like lines formed at higher temperatures give only upper limits to the electron density. The density and emission measure from O VII lines together indicate that the coronal loops are significantly smaller than the stellar radius.Comment: 9 pages, 3 figures (1 color) accepted for ApJ

Statistical hadronization phenomenology in K/πK/\pi fluctuations at ultra-relativistic energies

We discuss the information that can be obtained from an analysis of fluctuations in heavy ion collisions within the context of the statistical model of particle production. We then examine the recently published experimental data on ratio fluctuations, and use it to obtain constraints on the statistical properties (physically relevant ensemble, degree of chemical equilibration, scaling across energies and system sizes) and freeze-out dynamics (amount of reinteraction between chemical and thermal freeze-out) of the system.Comment: Proceedings, SQM2009. Fig. 4, the main results figure, was wrong due to editing mistake, now correcte

Analysis of cell proliferation and tissue remodelling uncovers a KLF4 activity score associated with poor prognosis in colorectal cancer

Human cancers can be classified based on gene signatures quantifying the degree of cell proliferation and tissue remodelling (PR). However, the specific factors that drive the increased tissue remodelling in tumours are not fully understood. Here we address this question using colorectal cancer as a case study. We reanalysed a reported cohort of colorectal cancer patients. The patients were stratified based on gene signatures of cell proliferation and tissue remodelling. Putative transcription factors activity was inferred using gene expression profiles and annotations of transcription factor targets as input. We demonstrate that the PR classification performs better than the currently adopted consensus molecular subtyping (CMS). Although CMS classification differentiates patients with a mesenchymal signature, it cannot distinguish the remaining patients based on survival. We demonstrate that the missing factor is cell proliferation, which is indicative of good prognosis. We also uncover a KLF4 transcription factor activity score associated with the tissue remodelling gene signature. We further show that the KLF4 activity score is significantly higher in colorectal tumours with predicted infiltration of cells from the myeloid lineage. The KLF4 activity score is associated with tissue remodelling, myeloid cell infiltration and poor prognosis in colorectal cancer

Selecting and interpreting diagnostic tests

Dijagnostički testovi uključuju sve od simptoma bolesti opisanih u bolesnikovoj anamnezi i uočenih fizičkim pregledom do sofisticiranih laboratorijskih pretraga i slikovnih tehnika široke upotrebe u današnjoj praksi. Dijagnostičkim testom uspoređuje se klinička informacija dobivena manje invazivnim i/ili jeftinijim testom s takozvanim „zlatnim standardom". U ovom članku najprije definiramo osnovne odrednice dijagnostičkog testiranja, primjerice, specifičnost i osjetljivost testa te pozitivnu i negativnu prediktivnu vrijednost kao mjeru učinkovitosti testa. Također raspravljamo o korisnosti ovih odrednica u odabiru testa i tumačenju dobivenih rezultata. Isto tako, objašnjavamo i Bayesov pristup dijagnostičkom ispitivanju kroz raspravu 0 vjerojatnosti neke dijagnoze prije i poslije učinjenog testa te o pozitivnom i negativnom omjeru vjerojatnosti. Potom tumačimo sva pitanja koja se tiču sažimanja mjera učinkovitosti testa, s osobitim naglaskom na površinu ispod ROC krivulje, dijagnostičku točnost 1 dijagnostički omjer izgleda. Također se pojašnjava i učinak prevalencije na dijagnostičku točnost i prediktivne vrijednosti. Na kraju, predstavljamo dijagnostički omjer izgleda kao mjeru učinkovitosti testa koja udružuje osjetljivost i specifičnost, ali ne ovisi o prevalenciji. Prije nego što liječnik zatraži neki dijagnostički test, mora procijeniti njegovu moguću dobrobit i rizike te kako će rezultat testa utjecati na skrb o bolesniku. Osnovni preduvjet za postavljanje dijagnoze temeljene na dokazima je dobro poznavanje i ispravno tumačenje svih dostupnih mjera diskriminacijske učinkovitosti testa.Diagnostic tests range from the signs and symptoms obtained from the patient\u27s history and physical examination to the sophisticated laboratory and imaging tests widely used in medical practice today. The typical diagnostic test compares clinical information gathered in a less invasive and/or less costly manner to the so-called gold standard. First, we define the basic components of diagnostic testing - i.e., the test characteristics of sensitivity and specificity and the test performance measures of positive predictive value and negative predictive value. We discuss the traditional use of these components in selecting and interpreting diagnostic test results. We then explain the Bayesian model for diagnostic testing through a discussion of pre-test probability and post-test probability and positive and negative likelihood ratios. We discuss the issue of integrating indicators of a test\u27s characteristics and performance, highlighting the area under the ROC curve, diagnostic accuracy and the diagnostic odds ratio. The impact of prevalence on accuracy and predictive values is clarified. And lastly, the diagnostic odds ratio is presented as a measure of test performance that combines sensitivity and specificity but is independent of test prevalence. Before ordering a diagnostic test, the clinician must evaluate the potential benefits and risks of the test and how the results will alter patient management. Familiarity with the available measurement options for evaluating a test and how to interpret the results are the first steps toward making evidence-based diagnostic decisions