bluuebunny/crossref_metadata_2025_split huggingface dataset:
Crowd Simulations and Determining the Critical Density Point of Emergency Situations
Authors: Khademipour Gholamreza , Nakhaee Nouzar , Anari Seyed Mohammad Saberi , Sadeghi Maryam , Ebrahimnejad Hojjat , Sheikhbardsiri Hojjat 
Published: May 2017

AbstractObjectiveIn modern societies, crowds and mass gatherings are recurrent. A combination of inadequate facilities and inefficient population management can lead to injury and death. Simulating people’s behavior in crowds and mass gatherings can assist in the planning and management of gatherings, especially in emergency situations.MethodsWe aimed to determine the crowd pattern and the critical density point in the grand bazaar of Kerman in Iran. We collected data by use of a census method with a questionnaire. To determine the critical density point, height and weight data were placed in the equation$\,s\,{\equals}\,\sqrt {{{L{\vskip -1.5pt \,\,\asterisk\,\,}M} \over {3600}}} $and the outer body surface of all the individuals in the bazaar was calculated. The crowd was simulated by use of flow-based modeling. Flow rate was determined by using the equation (flow rate=density * speed). By use of SketchUp Pro software (version 8; Trimble, Sunnyvale, CA), the movement of each person and the general flow rate were simulated in the three-dimensional environment of Kerman bazaar.ResultsOur findings showed that the population critical density point in Kerman bazaar would be 6112 people. In an accident, the critical density point in Kerman bazaar would be created in about 1 minute 10 seconds after the event.ConclusionIt seems necessary to identify and provide solutions for reducing the risk of disasters caused by overcrowding in Kerman bazaar. It is suggested that researchers conduct studies to design safe and secure emergency evacuation of Kerman bazaar as well as proper planning for better and faster access of aid squads to this location. (Disaster Med Public Health Preparedness. 2017;11:674–680)
Mental health provision in schools: approaches and interventions in 10 European countries
Authors: Patalay P. , Gondek D. , Moltrecht B. , Giese L. , Curtin C. , Stanković M. , Savka N. 
Published: May 2017

Background.The role of schools in providing community-based support for children's mental health and well-being is widely accepted and encouraged. Research has mainly focused on designing and evaluating specific interventions and there is little data available regarding what provision is available, the focus and priorities of schools and the professionals involved in providing this support. The current study presents these data from schools in 10 European countries.Methods.Online survey of 1466 schools in France, Germany, Ireland, Netherlands, Poland, Serbia, Spain, Sweden, UK and Ukraine. The participating countries were chosen based on their geographical spread, diversity of political and economic systems, and convenience in terms of access to the research group and presence of collaborators.Results.Schools reported having more universal provision than targeted provision and there was greater reported focus on children who already have difficulties compared with prevention of problems and promotion of student well-being. The most common interventions implemented related to social and emotional skills development and anti-bullying programmes. Learning and educational support professionals were present in many schools with fewer schools reporting involvement of a clinical specialist. Responses varied by country with 7.4–33.5% between-country variation across study outcomes. Secondary schools reported less support for parents and more for staff compared with primary schools, with private schools also indicating more staff support. Schools in rural locations reported less student support and professionals involved than schools in urban locations.Conclusion.The current study provides up-to-date and cross-country insight into the approaches, priorities and provision available for mental health support in schools; highlighting what schools prioritise in providing mental health support and where coverage of provision is lacking.
ASSESSING VALUE, BUDGET IMPACT, AND AFFORDABILITY IN ASIA
Authors: Hampson Grace , Henshall Chris , Towse Adrian 
Published: May 2017

Objectives: The aim of this study was to explore definitions of value and the use of budget impact and affordability considerations in health technology assessment (HTA) in the Asia region, particularly in relation to high cost technologies.Methods: Issues were debated by senior representatives from HTA and payer systems in Asian countries, delegates from industry, and invited experts at the 2016 meeting of the HTAi Asia Policy Forum (HAPF). A premeeting survey was used to gather data on how value is assessed and budget impact calculations are used within current processes, as well as current approaches to managing affordability.Results: All systems consider health benefit to be the key component of value. There is little consensus around “wider” elements of value that should be included. All systems use budget impact in decision making, although meeting attendees noted the challenges in making accurate estimates. The most common strategies used to address affordability concerns to date have been: restricting coverage, for example, to patients who are likely to get the highest value; discounts; and revenue caps. It was noted that these “solutions” may have unintended consequences of creating inequitable access to therapies and failing to provide adequate rewards for innovation.Conclusions: Decision makers, HTA agencies, and industry need to continue to work together to find mutually agreeable solutions to ensure that patients continue to get equitable access to effective therapies at costs that can be afforded throughout the Asia region.
From the field: A participatory approach to assess labor inputs on organic diversified vegetable farms in the Upper Midwestern USA
Authors: Silva E.M. , Hendrickson J. , Mitchell P.D. , Bietila E. 
Published: May 2017

AbstractConsumer interest in locally grown produce continues to increase in the USA. Small, diversified vegetable farms, including those managed organically, have been important contributors to meet this growing demand for local product. To be profitable in these markets, farmers must be able to appropriately price their products to cover production costs and provide themselves and their employees a living wage. Questions remain, however, as to the most effective method of assessing the cost of production of specific crops on these farms, in part due to the variability in labor inputs associated with diversified farming strategies. This study used a participatory approach to investigate both methodologies for varied widely, with high coefficients of variation calculated for all values, indicating high farm-to-farm variability in labor required for seasonal activities. Farmers reported both challenges with data collection, as well as successes in using data analysis to guide management decisions. This ongoing work highlights the value of collecting farm-specific data for use in cost-of-production determinations.
CoLiTec software - detection of the near-zero apparent motion
Authors: Khlamov Sergii V. , Savanevych Vadym E. , Briukhovetskyi Olexandr B. , Pohorelov Artem V. 
Published: May 2017

AbstractIn this article we described CoLiTec software for full automated frames processing. CoLiTec software allows processing the Big Data of observation results as well as processing of data that is continuously formed during observation. The scope of solving tasks includes frames brightness equalization, moving objects detection, astrometry, photometry, etc. Along with the high efficiency of Big Data processing CoLiTec software also ensures high accuracy of data measurements. A comparative analysis of the functional characteristics and positional accuracy was performed between CoLiTec and Astrometrica software. The benefits of CoLiTec used with wide field and low quality frames were observed. The efficiency of the CoLiTec software was proved by about 700.000 observations and over 1.500 preliminary discoveries.
Mol-D a Database and a Web Service within the Serbian Virtual Observatory and the Virtual Atomic and Molecular Data Centre
Authors: Srećković Vladimir A. , Jevremović Darko , Vujčić Veljko , Ignjatović Ljubinko M. , Milovanović Nenad , Erkapić Sanja , Dimitrijević Milan S. 
Published: May 2017

AbstractIn this contribution we report the current stage of the MOLecular Dissociation (MOL-D) database which is a web service within the Serbian virtual observatory (SerVO) and node within Virtual Atomic and Molecular Data Center (VAMDC). MOL-D is an atomic and molecular (A&M) database devoted to the modelling of stellar atmospheres, laboratory plasmas, industrial plasmas etc. The initial stage of development was done at the end of 2014, when the service for data connected with hydrogen and helium molecular ions was done. In the next stage of the development of MOL-D, we include new cross-sections and rate coefficients for processes which involve species such as XH+, where X is atom of some metal. Data are important for the exploring of the interstellar medium as well as for the early Universe chemistry and for the modeling of stellar and solar atmospheres. In this poster, we present our ongoing work and plans for the future.
Pan-STARRS1 as pilot-survey for panoptic time-domain science
Authors: Hernitschek Nina , Rix Hans-Walter , Sesar Branimir , Schlafly Edward F. 
Published: May 2017

AbstractFor examining possibilities and challenges in doing science with multi-band and non-simultaneous data from upcoming surveys like LSST, the Pan-STARRS1 (PS1) 3π can be used as a pilot survey. This is especially important to explore the possibilities in detection and classification of variable sources within the first years of LSST’s 10-year baseline. We had explored the capabilities of PS1 3π for carrying out time-domain science in a variety of applications. We had used structure function fitting as well as period fitting, to search for and classify high-latitude as well as low-latitude variable sources, in particular RR Lyrae, Cepheids and QSOs.
A Comparison of Classifiers for Solar Energetic Events
Authors: Barnes Graham , Schanche Nicole , Leka K. D. , Aggarwal Ashna , Reeves Kathy 
Published: May 2017

AbstractWe compare the results of using a Random Forest Classifier with the results of using Nonparametric Discriminant Analysis to classify whether a filament channel (in the case of a filament eruption) or an active region (in the case of a flare) is about to produce an event. A large number of descriptors are considered in each case, but it is found that only a small number are needed in order to get most of the improvement in performance over always predicting the majority class. There is little difference in performance between the two classifiers, and neither results in substantial improvements over simply predicting the majority class.
Multi-wavelength studies of the statistical properties of active galaxies using Big Data
Authors: Mickaelian A. M. , Abrahamyan H. V. , Gyulzadyan M. V. , Mikayelyan G. A. , Paronyan G. M. 
Published: May 2017

AbstractStatistical studies of active galaxies (both AGN and Starburst) using large multi-wavelength data are presented, including new studies of Markarian galaxies, large sample of IR galaxies, variable radio sources, and large homogeneous sample of X-ray selected AGN. Markarian survey (the First Byurakan Survey) was digitized and the DFBS database was created, as the biggest spectroscopic database by the number of objects involved ( ~ 20 million). This database provides both 2D images and 1D spectra. We have carried out a number of projects aimed at revealing and multi-wavelength studies of active galaxies among optical, X-ray, IR and radio sources. Thousands of X-ray sources were identified from ROSAT, including many AGN (52% among all identified sources). IRAS PSC/FSC sources were studied having accurate positions from WISE and a large extragalactic sample was created for further search for AGNs. The fraction of active galaxies among IR-selected galaxies was estimated as 24%. Variable radio sources at 1.4 GHz were revealed by cross-correlation of NVSS and FIRST catalogues using the method introduced by us for optical variability. Radio-X-ray sources were revealed from NVSS and ROSAT for detection of new active galaxies. Big Data in astronomy is described that provide new possibilities for statistical research of active galaxies and other objects.
Investigation of Spatially Unresolved Magnetic Field Outside Sunspots Using Hinode/SOT Observations
Authors: Botygina Olga , Gordovskyy Mykola , Lozitsky Vsevolod 
Published: May 2017

AbstractThe structure of photospheric magnetic fields outside sunspots is investigated in three active regions using Hinode/Solar Optical Telescope(SOT) observations. We analyze Zeeman effect in FeI 6301.5 and FeI 6302.5 lines and determine the observed magnetic field value Beff for each of them. We find that the line ratio Beff(6301)/Beff(6302) is close to 1.3 in the range Beff < 0.2 kG, and close to 1.0 for 0.8 kG < Beff < 1.2 kG. We find that the observed magnetic field is formed by flux tubes with the magnetic field strengths 1.3 − 2.3 kG even in places with weak observed magnetic field fluxes. We also estimate the diameters of smallest magnetic flux tubes to be 15 − 20 km.
Evolution of the NASA/IPAC Extragalactic Database (NED) into a Data Mining Discovery Engine
Authors: Mazzarella Joseph M. ,   the NED Team
Published: May 2017

AbstractWe review recent advances and ongoing work in evolving the NASA/IPAC Extragalactic Database (NED) beyond an object reference database into a data mining discovery engine. Updates to the infrastructure and data integration techniques are enabling more than a 10-fold expansion; NED will soon contain over a billion objects with their fundamental attributes fused across the spectrum via cross-identifications among the largest sky surveys (e.g., GALEX, SDSS, 2MASS, AllWISE, EMU), and over 100,000 smaller but scientifically important catalogs and journal articles. The recent discovery of super-luminous spiral galaxies exemplifies the opportunities for data mining and science discovery directly from NED’s rich data synthesis. Enhancements to the user interface, including new APIs, VO protocols, and queries involving derived physical quantities, are opening new pathways for panchromatic studies of large galaxy samples. Examples are shown of graphics characterizing the content of NED, as well as initial steps in exploring the database via interactive statistical visualizations.
What can the programming language Rust do for astrophysics?
Authors: Blanco-Cuaresma Sergi , Bolmont Emeline 
Published: May 2017

AbstractThe astrophysics community uses different tools for computational tasks such as complex systems simulations, radiative transfer calculations or big data. Programming languages like Fortran, C or C++ are commonly present in these tools and, generally, the language choice was made based on the need for performance. However, this comes at a cost: safety. For instance, a common source of error is the access to invalid memory regions, which produces random execution behaviors and affects the scientific interpretation of the results.In 2015, Mozilla Research released the first stable version of a new programming language named Rust. Many features make this new language attractive for the scientific community, it is open source and it guarantees memory safety while offering zero-cost abstraction.We explore the advantages and drawbacks of Rust for astrophysics by re-implementing the fundamental parts of Mercury-T, a Fortran code that simulates the dynamical and tidal evolution of multi-planet systems.
From Sky to Earth: Data Science Methodology Transfer
Authors: Mahabal Ashish A. , Crichton Daniel , Djorgovski S. G. , Law Emily , Hughes John S. 
Published: May 2017

AbstractWe describe here the parallels in astronomy and earth science datasets, their analyses, and the opportunities for methodology transfer from astroinformatics to geoinformatics. Using example of hydrology, we emphasize how meta-data and ontologies are crucial in such an undertaking. Using the infrastructure being designed for EarthCube - the Virtual Observatory for the earth sciences - we discuss essential steps for better transfer of tools and techniques in the future e.g. domain adaptation. Finally we point out that it is never a one-way process and there is enough for astroinformatics to learn from geoinformatics as well.
Integrated data access, visualization and analysis for Galactic Plane surveys: the VIALACTEA case
Authors: Molinari Sergio , Butora Robert , Cavuoti Stefano , Molinaro Marco , Riccio Giuseppe , Sciacca Eva , Vitello Fabio , Becciani Ugo , Brescia Massimo , Costa Alessandro , Smareglia Riccardo 
Published: May 2017

AbstractThe VIALACTEA project brings to a common forum the major new-generation surveys of the Milky Way Galactic Plane from 1μm to the radio, both in thermal continuum and in atomic and molecular lines, to attack in a systematic way the characterization of the Milky Way as a star formation engine. Images, catalogues, spectroscopic datacubes and radiative transfer models of the Spectral Energy Distributions (SEDs) of sites of star formation have been incorporated and indexed in the VIALACTEA Knowledge Base (VLKB). The VLKB consists of a combination of a relational database where the VIALACTEA data and metadata are homogenised and stored, and a filesystem-based stored information. This infrastructure allowed, among others, the generation of extensive catalogue for compact sources and extended structures in the Galactic Plane, the implementation of data-mining algorithms for the band-merging of multiwavelength data and expert systems for the automated analysis of molecular line surveys to extract critical kinematical information and derive distances using Galaxy rotation curves and new 3D extinction maps. A new VIALACTEA 3D Visual Analytics interface has been developed that provides integrated access and analysis of continuum and spectroscopic images together with catalogue data directly interfacing with the VLKB.
Learn from every mistake! Hierarchical information combination in astronomy
Authors: Süveges Maria , Fotopoulou Sotiria , Coupon Jean , Paltani Stéphane , Eyer Laurent , Rimoldini Lorenzo 
Published: May 2017

AbstractThroughout the processing and analysis of survey data, a ubiquitous issue nowadays is that we are spoilt for choice when we need to select a methodology for some of its steps. The alternative methods usually fail and excel in different data regions, and have various advantages and drawbacks, so a combination that unites the strengths of all while suppressing the weaknesses is desirable. We propose to use a two-level hierarchy of learners. Its first level consists of training and applying the possible base methods on the first part of a known set. At the second level, we feed the output probability distributions from all base methods to a second learner trained on the remaining known objects. Using classification of variable stars and photometric redshift estimation as examples, we show that the hierarchical combination is capable of achieving general improvement over averaging-type combination methods, correcting systematics present in all base methods, is easy to train and apply, and thus, it is a promising tool in the astronomical “Big Data” era.
3-D interactive visualisation tools for Hispectral line imaging
Authors: van der Hulst J. M. , Punzo D. , Roerdink J. B. T. M. 
Published: May 2017

AbstractUpcoming HI surveys will deliver such large datasets that automated processing using the full 3-D information to find and characterize HI objects is unavoidable. Full 3-D visualization is an essential tool for enabling qualitative and quantitative inspection and analysis of the 3-D data, which is often complex in nature. Here we presentSlicerAstro, an open-source extension of3DSlicer, a multi-platform open source software package for visualization and medical image processing, which we developed for the inspection and analysis of HI spectral line data. We describe its initial capabilities, including 3-D filtering, 3-D selection and comparative modelling.
Collaborative visual analytics of radio surveys in the Big Data era
Authors: Vohl Dany , Fluke Christopher J. , Hassan Amr H. , Barnes David G. , Kilborn Virginia A. 
Published: May 2017

AbstractRadio survey datasets comprise an increasing number of individual observations stored as sets of multidimensional data. In large survey projects, astronomers commonly face limitations regarding: 1) interactive visual analytics of sufficiently large subsets of data; 2) synchronous and asynchronous collaboration; and 3) documentation of the discovery workflow. To support collaborative data inquiry, we present encube, a large-scale comparative visual analytics framework. encube can utilise advanced visualization environments such as the CAVE2 (a hybrid 2D and 3D virtual reality environment powered with a 100 Tflop/s GPU-based supercomputer and 84 million pixels) for collaborative analysis of large subsets of data from radio surveys. It can also run on standard desktops, providing a capable visual analytics experience across the display ecology. encube is composed of four primary units enabling compute-intensive processing, advanced visualisation, dynamic interaction, parallel data query, along with data management. Its modularity will make it simple to incorporate astronomical analysis packages and Virtual Observatory capabilities developed within our community. We discuss how encube builds a bridge between high-end display systems (such as CAVE2) and the classical desktop, preserving all traces of the work completed on either platform – allowing the research process to continue wherever you are.
Ruin problems in Markov-modulated risk models
Authors: Dickson David C.M. , Qazvini Marjan 
Published: May 2017

AbstractChen et al. (2014), studied a discrete semi-Markov risk model that covers existing risk models such as the compound binomial model and the compound Markov binomial model. We consider their model and build numerical algorithms that provide approximations to the probability of ultimate ruin and the probability and severity of ruin in a continuous time two-state Markov-modulated risk model. We then study the finite time ruin probability for a discrete m-state model and show how we can approximate the density of the time of ruin in a continuous time Markov-modulated model with more than two states.
Injectable hydrogels for cartilage and bone tissue engineering
Authors: Liu Mei , Zeng Xin , Ma Chao , Yi Huan , Ali Zeeshan , Mou Xianbo , Li Song , Deng Yan , He Nongyue 
Published: May 2017

AbstractTissue engineering has become a promising strategy for repairing damaged cartilage and bone tissue. Among the scaffolds for tissue-engineering applications, injectable hydrogels have demonstrated great potential for use as three-dimensional cell culture scaffolds in cartilage and bone tissue engineering, owing to their high water content, similarity to the natural extracellular matrix (ECM), porous framework for cell transplantation and proliferation, minimal invasive properties, and ability to match irregular defects. In this review, we describe the selection of appropriate biomaterials and fabrication methods to prepare novel injectable hydrogels for cartilage and bone tissue engineering. In addition, the biology of cartilage and the bony ECM is also summarized. Finally, future perspectives for injectable hydrogels in cartilage and bone tissue engineering are discussed.