Analysis of airplane boarding via space-time geometry and random matrix theory

We show that airplane boarding can be asymptotically modeled by 2-dimensional Lorentzian geometry. Boarding time is given by the maximal proper time among curves in the model. Discrepancies between the model and simulation results are closely related to random matrix theory. We then show how such models can be used to explain why some commonly practiced airline boarding policies are ineffective and even detrimental.Comment: 4 page

Classification and Ranking of Fermi LAT Gamma-ray Sources from the 3FGL Catalog using Machine Learning Techniques

We apply a number of statistical and machine learning techniques to classify and rank gamma-ray sources from the Third Fermi Large Area Telescope (LAT) Source Catalog (3FGL), according to their likelihood of falling into the two major classes of gamma-ray emitters: pulsars (PSR) or Active Galactic Nuclei (AGN). Using 1904 3FGL sources that have been identified/associated with AGN (1738) and PSR (166), we train (using 70% of our sample) and test (using 30%) our algorithms and find that the best overall accuracy (>96%) is obtained with the Random Forest (RF) technique, while using a logistic regression (LR) algorithm results in only marginally lower accuracy. We apply the same techniques on a sub-sample of 142 known gamma-ray pulsars to classify them into two major subcategories: young (YNG) and millisecond pulsars (MSP). Once more, the RF algorithm has the best overall accuracy (~90%), while a boosted LR analysis comes a close second. We apply our two best models (RF and LR) to the entire 3FGL catalog, providing predictions on the likely nature of {\it unassociated} sources, including the likely type of pulsar (YNG or MSP). We also use our predictions to shed light on the possible nature of some gamma-ray sources with known associations (e.g. binaries, SNR/PWN). Finally, we provide a list of plausible X-ray counterparts for some pulsar candidates, obtained using Swift, Chandra, and XMM. The results of our study will be of interest for both in-depth follow-up searches (e.g. pulsar) at various wavelengths, as well as for broader population studies.Comment: Accepted by Ap

Supergiant Fast X-ray Transients uncovered by the EXTraS project: flares reveal the development of magnetospheric instability in accreting neutron stars

The low luminosity, X-ray flaring activity, of the sub-class of high mass X-ray binaries called Supergiant Fast X-ray Transients, has been investigated using XMM-Newton public observations, taking advantage of the products made publicly available by the EXTraS project. One of the goals of EXTraS was to extract from the XMM-Newton public archive information on the aperiodic variability of all sources observed in the soft X-ray range with EPIC (0.2-12 keV). Adopting a Bayesian block decomposition of the X-ray light curves of a sample of SFXTs, we picked out 144 X-ray flares, covering a large range of soft X-ray luminosities (1e32-1e36 erg/s). We measured temporal quantities, like the rise time to and the decay time from the peak of the flares, their duration and the time interval between adjacent flares. We also estimated the peak luminosity, average accretion rate and energy release in the flares. The observed soft X-ray properties of low-luminosity flaring activity from SFXTs is in qualitative agreement with what is expected by the application of the Rayleigh-Taylor instability model in accreting plasma near the neutron star magnetosphere. In the case of rapidly rotating neutron stars, sporadic accretion from temporary discs cannot be excluded.Comment: Accepted for publication in MNRAS (accepted 2019 May 1; received 2019 April 30; in original form 2019 February 25). 22 pages, 16 figures, 3 tables

REPROGRAMMING PLATFORMS. THE CO-PRODUCTION OF SCIENTIFIC AND GOVERNANCE INNOVATION IN TRANSLATIONAL INDUCED PLURIPOTENT STEM CELL RESEARCH

This dissertation charts the rise and articulation of induced Pluripotent Stem Cells (iPSCs) as a prominent translational technology, invested with high expectations to finally deliver the as yet mostly unfulfilled promise of stem cell research. In a field catalyzed by the therapeutic promise, iPSCs have been adopted for widespread translational efforts, in the areas of disease modeling, drug discovery and regenerative medicine, and have progressively positioned themselves, through the mobilization of several biomedical platforms, as a key resource of stem cell-based bioeconomies. Specifically, drawing from extensive ethnographic fieldwork, this work targets distinct iPSC innovation pathways across the United States and the European Union, and conducts the analysis of distinct models of iPSC\u2013based innovation implemented by three leading iPSC research organizations that have been spearheading translational iPSC research: the New York Stem Cell Foundation, the Harvard Stem Cell Institute, and the European Bank for induced Pluripotent Stem Cells \u2013 respectively, the largest stem cell research organization in the world; the largest private translational stem cell research institution in the United States; and one of the two flagship stem cell consortia launched in recent years at EU level. Through a comparative approach, this dissertation explores the co-productive relationship between scientific and governance innovation, and probes the distinct ways in which some of the leading research institutions in the field design and implement governance arrangements and practices of standardization in order to harness the innovation potential of iPSC-based technologies. Furthermore, it accounts for the socio-political salience of these emerging institutional configurations, and traces the assembly of distinct constituencies claiming jurisdiction in this domain of biomedicine

Discovery of periodic dips in the brightest hard X-ray source of M31 with EXTraS

We performed a search for eclipsing and dipping sources in the archive of the EXTraS project - a systematic characterization of the temporal behaviour of XMM-Newton point sources. We discovered dips in the X-ray light curve of 3XMM J004232.1+411314, which has been recently associated with the hard X-ray source dominating the emission of M31. A systematic analysis of XMM-Newton observations revealed 13 dips in 40 observations (total exposure time $\sim$0.8 Ms). Among them, four observations show two dips, separated by $\sim$4.01 hr. Dip depths and durations are variable. The dips occur only during low-luminosity states (L$_{0.2-12}<1\times10^{38}$ erg s$^{-1}$), while the source reaches L$_{0.2-12}\sim2.8\times10^{38}$ erg s$^{-1}$. We propose this system to be a new dipping Low-Mass X-ray Binary in M31 seen at high inclination (60$^{\circ}$-80$^{\circ}$), the observed dipping periodicity is the orbital period of the system. A blue HST source within the Chandra error circle is the most likely optical counterpart of the accretion disk. The high luminosity of the system makes it the most luminous dipper known to date.Comment: 11 pages, 2 figures, 5 tables, accepted for publication in ApJ

Knowledge utilisation drivers in technological M&As

Several contributions look at the effect of technological M&As on the acquirer's technological performance. The knowledge-based perspective highlights the critical role that the acquirer's target's knowledge absorption plays as the main driver in enhancing post-M&A technological performance. However, absorptive capacity is a rather complex construct, which includes assimilation, utilisation and transformation of the acquired knowledge. In this paper, we focus on knowledge utilisation and investigate two factors whose effects on post-M&A technological performance have been extensively highlighted: technological relatedness and managerial experience. We contribute to the existing literature with a better understanding of the factors underlying the utilisation of the knowledge acquired in M&As. This should help managers to enhance their capacity to manage integration process post-M&As. Our results are based on a cross-sectional data set of 152 biopharmaceutical acquirers that completed at least one M&A between 2001 and 2005

Effect of pheasant breeders management on eggs' fertility

The pheasant is the most common game bird in Italian countryside. The Italian pheasants' population can be considered as the result of different sub-species hybridisation (Cocchi et al., 2000). The evolution of pheasant farming methods has led to house breeding colonies in single family (1 male with 5-7 females) battery cages (Meriggi, 1992). The traditional housing facilities for breeding colonies were outdoor pens with a covered area, in the same pen different families were housed (Manetti, 1987)

Closed Loop Pulsating Heat Pipes: Ground and Microgravity experiments

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How zebrafish research has helped in understanding thyroid diseases

Next-generation sequencing technologies have revolutionized the identification of disease-causing genes, accelerating the discovery of new mutations and new candidate genes for thyroid diseases. To face this flow of novel genetic information, it is important to have suitable animal models to study the mechanisms regulating thyroid development and thyroid hormone availability and activity. Zebrafish ( Danio rerio), with its rapid external embryonic development, has been extensively used in developmental biology. To date, almost all of the components of the zebrafish thyroid axis have been characterized and are structurally and functionally comparable with those of higher vertebrates. The availability of transgenic fluorescent zebrafish lines allows the real-time analysis of thyroid organogenesis and its alterations. Transient morpholino-knockdown is a solution to silence the expression of a gene of interest and promptly obtain insights on its contribution during the development of the zebrafish thyroid axis. The recently available tools for targeted stable gene knockout have further increased the value of zebrafish to the study of thyroid disease. All of the reported zebrafish models can also be used to screen small compounds and to test new drugs and may allow the establishment of experimental proof of concept to plan subsequent clinical trials

GLIS3 and Thyroid: A Pleiotropic Candidate Gene for Congenital Hypothyroidism

Variations in the transcription factor Gli-similar 3 (GLIS3) gene have been associated to variable congenital endocrine defects, including both morphogenetic and functional thyroid alterations. Evidence from Glis3 knockout mice indicates a relevant role for GLIS3 in thyroid hormone biosynthesis and postnatal thyroid gland growth, with a mechanism of action downstream of the TSH/TSHR interaction. However, the pathophysiological role of this transcription factor during the embryonic thyroid development remains unexplored. In this manuscript, we will provide an overview of the current knowledge on GLIS3 function during development. As a perspective, we will present preliminary evidence in the zebrafish model in support of a potential role for this pleiotropic transcription factor in the early stages of thyroid gland development