scholarly journals An Expanded Bandpass List for Atmospheric Emission in Eclipsing Binary Models

2006 ◽  
Vol 2 (S240) ◽  
pp. 584-586
Author(s):  
Walter Van Hamme ◽  
R.E. Wilson
Keyword(s):  
Binary Star ◽  
Atmospheric Radiation ◽  
Data Sets ◽  
Atmospheric Emission ◽  
The Public ◽  
Huge Data ◽  
Local Gravity ◽  
Limb Darkening ◽  
Radiative Modeling ◽  
Emergent Intensity

AbstractPrograms for modeling binary star observables compute emergent intensity for given composition as it varies with local effective temperature, local gravity, and direction. With arrival of huge data sets from Gaia and other surveys, the benefits of fast, compact, and accurate computation of atmospheric radiation is likely to remain critical for the foreseeable future. Experience has shown that accurate radiative modeling is important for good parameter estimation. Here we augment the radiative treatment by Van Hamme & Wilson (2003) with a procedure by which individuals can generate the needed Legendre coefficients for arbitrary photometric bands. Resulting files can be inserted directly into the Wilson-Devinney (W-D) program without sacrificing portability or program unity, and should easily be adaptable to other binary star programs. We expect the new bandpass options to become part of the public W-D program. Limb-darkening tables will be placed at http://www.fiu.edu/~vanhamme/limdark.htm.

Trust in the Police: Cross-country Comparisons

2012 ◽  
pp. 24-47
Author(s):  
V. Gimpelson ◽  
G. Monusova
Keyword(s):  
Public Opinion ◽  
Public Attitudes ◽  
Crime Rates ◽  
Authoritarian Regimes ◽  
Data Sets ◽  
The Public ◽  
Positive Attitudes ◽  
Cross Country ◽  
Police Activity

Using different cross-country data sets and simple econometric techniques we study public attitudes towards the police. More positive attitudes are more likely to emerge in the countries that have better functioning democratic institutions, less prone to corruption but enjoy more transparent and accountable police activity. This has a stronger impact on the public opinion (trust and attitudes) than objective crime rates or density of policemen. Citizens tend to trust more in those (policemen) with whom they share common values and can have some control over. The latter is a function of democracy. In authoritarian countries — “police states” — this tendency may not work directly. When we move from semi-authoritarian countries to openly authoritarian ones the trust in the police measured by surveys can also rise. As a result, the trust appears to be U-shaped along the quality of government axis. This phenomenon can be explained with two simple facts. First, publicly spread information concerning police activity in authoritarian countries is strongly controlled; second, the police itself is better controlled by authoritarian regimes which are afraid of dangerous (for them) erosion of this institution.

IMPLEMENTATION OF FATWA ULAMA COUNCIL ACEH CONCERNING MAINTAINING FARDHU KIFAYAH FOR THE MUSLIM’S CORPSE INFECTED BY COVID 19 IN BANDA ACEH

2020 ◽  
Author(s):  
Andri Nirwana
Keyword(s):  
Health Workers ◽  
Descriptive Analysis ◽  
Body Fluids ◽  
The Body ◽  
Analysis Approach ◽  
Data Sets ◽  
Infected People ◽  
The Public ◽  
The People ◽  
Banda Aceh

Abstract: The phenomenon of the people who forcibly took covid's corpse 19 from the hospital to be taken care of by Fardhu Kifayah by his family and the community, became a conclusion that there was community doubt about the management of Tajhiz Mayat conducted by the hospital. Coupled with the circulation of the video of the Ruku movement 'in the corpse prayer conducted by unscrupulous parties at the Hospital, became added doubts from the public against the hospital. To solve this problem, this research uses a Descriptive Analysis approach, namely by formulating a question, namely How to arrange Covid 19's body in Banda Aceh and this question will be answered with several theories and data sets from the field. So it was concluded in a conclusion that answered the formulation of the problems mentioned. Theoretically the spread of covid 19 is very fast, the size of the virus is only 0.1 micrometer and is in body fluids, especially nasopharyngeal fluid and oropharyngeal fluids of infected people, fluids in the body of covid 19 bodies can get out through every gap of the body such as mouth, nose, eye and rectum, because it requires special techniques in its management. Fardhu kifayah to covid 19 bodies should be carried out by trained Ustad and trained health workers, so that the spread stopped. The results of this study concluded that the management of the Moslem bodies died at Zainal Abidin Hospital in Banda Aceh was in accordance with the Fatwa of the Aceh Ulama Council (MPU) and the bodies were handled by trained Ustad and health workers.

scholarly journals Benchmarking Crisis in Social Media Analytics: A Solution for the Data-Sharing Problem

2021 ◽  
pp. 089443932110122
Author(s):  
Dennis Assenmacher ◽  
Derek Weber ◽  
Mike Preuss ◽  
André Calero Valdez ◽  
Alison Bradshaw ◽  
...  
Keyword(s):  
Social Media ◽  
Data Sharing ◽  
Algorithm Design ◽  
Computational Social Science ◽  
Evaluation Framework ◽  
Social Media Analytics ◽  
Data Sets ◽  
The Public ◽  
Research Areas ◽  
Media Data

Computational social science uses computational and statistical methods in order to evaluate social interaction. The public availability of data sets is thus a necessary precondition for reliable and replicable research. These data allow researchers to benchmark the computational methods they develop, test the generalizability of their findings, and build confidence in their results. When social media data are concerned, data sharing is often restricted for legal or privacy reasons, which makes the comparison of methods and the replicability of research results infeasible. Social media analytics research, consequently, faces an integrity crisis. How is it possible to create trust in computational or statistical analyses, when they cannot be validated by third parties? In this work, we explore this well-known, yet little discussed, problem for social media analytics. We investigate how this problem can be solved by looking at related computational research areas. Moreover, we propose and implement a prototype to address the problem in the form of a new evaluation framework that enables the comparison of algorithms without the need to exchange data directly, while maintaining flexibility for the algorithm design.

scholarly journals COVID-19 in patients undergoing chronic kidney replacement therapy and kidney transplant recipients in Scotland: findings and experience from the Scottish renal registry

2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Samira Bell ◽  
◽  
Jacqueline Campbell ◽  
Jackie McDonald ◽  
Martin O’Neill ◽  
...  
Keyword(s):  
Public Health ◽  
Replacement Therapy ◽  
Study Data ◽  
Data Sets ◽  
Kidney Transplant Recipients ◽  
The Public ◽  
Transplant Patients ◽  
Kidney Replacement Therapy ◽  
Observational Cohort ◽  
Respiratory Coronavirus

Abstract Background Infection with the severe acute respiratory coronavirus 2 (SARS-CoV-2) has led to a worldwide pandemic with coronavirus disease 2019 (COVID-19), the disease caused by SARS-CoV-2, overwhelming healthcare systems globally. Preliminary reports suggest a high incidence of infection and mortality with SARS-CoV-2 in patients receiving kidney replacement therapy (KRT). The aims of this study are to report characteristics, rates and outcomes of all patients affected by infection with SARS-CoV-2 undergoing KRT in Scotland. Methods Study design was an observational cohort study. Data were linked between the Scottish Renal Registry, Health Protection Scotland and the Scottish Intensive Care Society Audit Group national data sets using a unique patient identifier (Community Health Index (CHI)) for each individual by the Public Health and Intelligence unit of Public Health, Scotland. Descriptive statistics and survival analyses were performed. Results During the period 1st March 2020 to 31st May 2020, 110 patients receiving KRT tested positive for SARS-CoV-2 amounting to 2% of the prevalent KRT population. Of those affected, 86 were receiving haemodialysis or peritoneal dialysis and 24 had a renal transplant. Patients who tested positive were older and more likely to reside in more deprived postcodes. Mortality was high at 26.7% in the dialysis patients and 29.2% in the transplant patients. Conclusion The rate of detected SARS-CoV-2 in people receiving KRT in Scotland was relatively low but with a high mortality for those demonstrating infection. Although impossible to confirm, it appears that the measures taken within dialysis units coupled with the national shielding policy, have been effective in protecting this population from infection.

scholarly journals Comparison of the power-2 limb-darkening law from the STAGGER-grid to Kepler light curves of transiting exoplanets

2018 ◽  
Vol 616 ◽  
pp. A39 ◽  
Author(s):  
P. F. L. Maxted
Keyword(s):  
Light Curve ◽  
Probability Distributions ◽  
Binary Star ◽  
Magnetic Activity ◽  
Light Curves ◽  
Practical Implementation ◽  
Light Curve Analysis ◽  
Stagger Grid ◽  
Least Squares Fit ◽  
Limb Darkening

Context. Inaccurate limb-darkening models can be a significant source of error in the analysis of the light curves for transiting exoplanet and eclipsing binary star systems, particularly for high-precision light curves at optical wavelengths. The power-2 limb-darkening law, Iλ(µ) = 1 − c(1−µα), has recently been proposed as a good compromise between complexity and precision in the treatment of limb-darkening. Aims. My aim is to develop a practical implementation of the power-2 limb-darkening law and to quantify the accuracy of this implementation. Methods. I have used synthetic spectra based on the 3D stellar atmosphere models from the STAGGER-grid to compute the limb-darkening for several passbands (UBVRI, CHEOPS, TESS, Kepler, etc.). The parameters of the power-2 limb-darkening laws are optimized using a least-squares fit to a simulated light curve computed directly from the tabulated Iλ(μ) values. I use the transformed parameters h1 = 1 − c(1 − 2−α) and h2 = c2−α to directly compare these optimized limb-darkening parameters to the limb darkening measured from Kepler light curves of 16 transiting exoplanet systems. Results. The posterior probability distributions (PPDs) of the transformed parameters h1 and h2 resulting from the light curve analysis are found to be much less strongly correlated than the PPDs for c and α. The agreement between the computed and observed values of (h1, h2) is generally very good but there are significant differences between the observed and computed values for Kepler-17, the only star in the sample that shows significant variability between the eclipses due to magnetic activity (star spots). Conclusions. The tabulation of h1 and h2 provided here can be used to accurately model the light curves of transiting exoplanets. I also provide estimates of the priors that should be applied to transformed parameters h1 and h2 based on my analysis of the Kepler light curves of 16 stars with transiting exoplanets.

scholarly journals Application of A Framework to Guide Policy on Healthcare Resource Allocation Decisions to Data Linkage Projects

2020 ◽  
Vol 5 (5) ◽  
Author(s):  
Ian Olver
Keyword(s):  
Resource Allocation ◽  
Data Linkage ◽  
Health Data ◽  
Decision Makers ◽  
Data Sets ◽  
Policy Decisions ◽  
The Public ◽  
Health Resource Allocation ◽  
Allocation Decisions ◽  
Resource Allocation Decisions

IntroductionData linkage of population data sets often across jurisdictions or linking health data sets or health data with non-health data often involves balancing ethical principles such as privacy with beneficence as represented by the public good. Similar ethical dilemmas occur in health resource allocation decisions. The NHMRC have published a framework to guide policy on health resource allocation decisions that could be applied to ensure the justification of data linkage projects that is defensible as in the interest of the public good. Objectives and ApproachThe four main conditions for legitimacy of policy decisions about access to healthcare in a democracy with a public health system and limited resources wereexamined for their relevance to decisions about the use of public data and linking data sets. ResultsPublic policy decisions must be defensible and responsive to the interests of those affected. Decision-makers should articulate their reasoning and recommendations so that citizens can judge them. While the context of policy decisions will differ, their legitimacy depends upon (1) the transparency of the reasoning which should be free from conflicts of interest, the basis for decisions recorded and report widely, (2) the accountability of the decision-makers to the wider community, (3) the testability of the evidence used to inform the decision-making, which usually means that it will stand up to independent review and(4) the inclusive recognition of those the decision affects which often requires that the implications for disadvantaged groups are considered, even if they can’t always be accommodated. These conditions are interrelated but ensure that the good of society in general and not just specific dominant groups are accommodated. Conclusion / ImplicationsIt these principles are applied to decisions about data linkage projects they have clear applicability in society accepting data linkage projects having balanced the good against the ethical risks involved.

scholarly journals Methods of Administrative and Legal Protection of Tax Relations: Theoretical and Legal Study

2019 ◽  
Vol 75 (4) ◽  
pp. 53-58
Author(s):  
K. S. Rohozinnikova
Keyword(s):  
Public Administration ◽  
Open Data ◽  
Legal Protection ◽  
Data Sets ◽  
Administrative Services ◽  
The Public ◽  
The Subject ◽  
State Coercion ◽  
The Relationship ◽  
Functional Purpose

The author of the article has provided the results of the analysis of the methods of administrative and legal protection taking into account the changes within the relations between public administration and taxpayers and the course chosen by the state for liberalization of tax relations. The place of the concept of the methods of administrative and legal protection in the term system of the science of administrative law and their dialectical relations with the methods of public administration and administrative activity has been established. The author has indicated generic and specific features of the methods of administrative and legal protection of tax relations, where the latter will depend on the peculiarities of the means and methods of influence used by the public administration for the purpose of exercising security functions. The system of methods of administrative and legal protection of tax relations has been offered to form from three elements: general methods of administrative activity (persuasion and coercion), service tools of influence (provision of administrative services, creation of electronic services and publication of open data sets) and organizational methods. The expediency of distinguishing service means of influence into a separate group of methods of administrative and legal protection has been proved. It is conditioned by their special functional purpose – creation of conditions for independent prevention of possible breach of protected relations by the taxpayer. The role and correlation of persuasion and coercion in the system of methods of administrative and legal protection of tax relations have been clarified. Despite the presented importance of the persuasion within the relationship between the controlling agencies and the taxpayers, it has been stated that state coercion remains the main mean of administrative and legal protection of tax relations. Particular attention has been paid on the need to reconsider the correlation of tax and administrative coercion within tax relations. It has been proved that the basis of their delimitation should be not the branch of legislation, where the authority to apply the appropriate measure is assigned, but the essential criterion and the subject matter of regulation (influence) – relations arising from incomplete calculation and late and incomplete payment of taxes and fees, or relationships related to the organization and enforcement of tax responsibilities and the proper exercise by the supervisory authorities of their powers. It has been emphasized that tax coercion, unlike administrative, performs both punitive and compensatory functions.

PASSENGER RESPONSE TIME DATA- SETS FOR LARGE PASSENGER FERRIES AND CRUISE SHIPS DERIVED FROM SEA TRIALS

2021 ◽  
Vol 155 (A2) ◽  
Author(s):  
R Brown ◽  
E R Galea ◽  
S Deere ◽  
L Filippidis
Keyword(s):  
Response Time ◽  
Research Group ◽  
Data Sets ◽  
Time Data ◽  
Evacuation Time ◽  
The Public ◽  
Cruise Ships ◽  
Passenger Ships ◽  
Unique Nature ◽  
The Subject

The paper consists of 27 figures; numerous equations and 12 notes/ references, many of which are written by the authors of this paper. Whilst this may indicate a lack of “reading around the subject” it also indicates the unique nature of the topic and that little exists at present in the public domain about this topic. Indeed the authors and the research group they represent are the main contributors to the IMOs discussions and circulars on this subject. Given that background the paper is very detailed and consists of comparisons between the evacuation times of 3 passenger ships, 2 being Ro-Pax vessels and 1 a cruise liner. On board evacuation time statistics have been gathered from significant populations enabling the authors to draw significant conclusions relating to evacuation times in the presented scenarios. The paper is therefore a useful addition to the debates on this subject which is of major relevance to the understanding of evacuation times in passenger vessels. Data and research in this area is difficult to obtain thus the authors should be congratulated for their work.

Construction and Analysis of Protein-Protein Interaction Network

2019 ◽  
pp. 204-220
Author(s):  
Divya Dasagrandhi ◽  
Arul Salomee Kamalabai Ravindran ◽  
Anusuyadevi Muthuswamy ◽  
Jayachandran K. S.
Keyword(s):  
Protein Interaction ◽  
Protein Interaction Network ◽  
Interaction Network ◽  
Data Sets ◽  
Protein Protein Interaction ◽  
Huge Data ◽  
Associated Proteins ◽  
High Throughput Experiments ◽  
Generation Sequencing ◽  
Protein Protein Interaction Network

Understanding the mechanisms of a disease is highly complicated due to the complex pathways involved in the disease progression. Despite several decades of research, the occurrence and prognosis of the diseases is not completely understood even with high throughput experiments like DNA microarray and next-generation sequencing. This is due to challenges in analysis of huge data sets. Systems biology is one of the major divisions of bioinformatics and has laid cutting edge techniques for the better understanding of these pathways. Construction of protein-protein interaction network (PPIN) guides the modern scientists to identify vital proteins through protein-protein interaction network, which facilitates the identification of new drug target and associated proteins. The chapter is focused on PPI databases, construction of PPINs, and its analysis.

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