Radiology Residents' Attitudes Toward Recurrent RADPAC Political Contributions: Current Data and Implications for the Future

Two effective symptomatic therapies are available for Alzheimer’s disease: the cholinesterase inhibitors (ChEIs) and memantine, an N-methyl-D-aspartate receptor antagonist. Current data demonstrate that combination therapy with memantine and a ChEI produces symptomatic benefits in all domains of AD. The benefits of combination therapy are greater than those of ChEI monotherapy, are sustained long term and appear to increase with time.

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The Estimated Population of Great Britain, 1941–1971

Journal of the Institute of Actuaries ◽

10.1017/s002026810001074x ◽

1937 ◽

Vol 68 (3) ◽

pp. 323-368 ◽

Cited By ~ 2

Author(s):

F. J. C. Honey

Keyword(s):

Great Britain ◽

Current Data ◽

Single Index ◽

The Past ◽

Rate Of Growth ◽

The Future ◽

Underlying Trend ◽

Age And Sex

(1) In a paper read before the Institute in November 1933 (J.I.A. Vol. LXV, p. 38), Mr C. D. Rich showed how to calculate the inherent rate of growth of a population by combining in a single index the current data regarding mortality and fertility. Valuable though this index is in showing the true underlying trend at a particular point of time, it cannot be adapted (nor is it intended) to show the actual future populations at any particular time.(2) It is the purpose of the present paper to make estimates of the population of Great Britain, according to age and sex, for certain future years, and in order to do this an attempt is made to forecast the probable future course of mortality and fertility in Great Britain, in the light of the experience of the past, and such indications as there may be regarding the factors which will influence the future.

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CoViD-19: an automatic, semiparametric estimation method for the population infected in Italy

PeerJ ◽

10.7717/peerj.10819 ◽

2021 ◽

Vol 9 ◽

pp. e10819

Author(s):

Livio Fenga

Keyword(s):

Representative Sample ◽

Semiparametric Estimation ◽

Estimation Method ◽

Estimation Procedure ◽

Current Data ◽

Regional Level ◽

Reliable Estimation ◽

Italian Government ◽

The Future ◽

Official Data

To date, official data on the number of people infected with the SARS-CoV-2—responsible for the Covid-19—have been released by the Italian Government just on the basis of a non-representative sample of population which tested positive for the swab. However a reliable estimation of the number of infected, including asymptomatic people, turns out to be crucial in the preparation of operational schemes and to estimate the future number of people, who will require, to different extents, medical attentions. In order to overcome the current data shortcoming, this article proposes a bootstrap-driven, estimation procedure for the number of people infected with the SARS-CoV-2. This method is designed to be robust, automatic and suitable to generate estimations at regional level. Obtained results show that, while official data at March the 12th report 12.839 cases in Italy, people infected with the SARS-CoV-2 could be as high as 105.789.

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Judicial Big Data and Big-Data-Based Legal Research in China

Asian Journal of Law and Society ◽

10.1017/als.2020.34 ◽

2020 ◽

pp. 1-20

Author(s):

Weimin ZUO ◽

Chanyuan WANG

Keyword(s):

Big Data ◽

Computer Science ◽

Research Methods ◽

New Products ◽

Current Data ◽

Small Data ◽

Legal Research ◽

The Future ◽

Statistical Science

Abstract The newly established judicial-transparency platforms, like China Judgements Online, have provided access to a new resource—judicial big data—making it possible to conduct empirical, big-data-based legal research. However, as is often the case with new products, these platforms—China Judgements Online, in particular—pose a few problems for big-data-based legal research: insufficient academic depth; immature technical methods; and lack of innovation due to flawed data, strict technical thresholds, and lack of theoretical ambition and ability. In the future, big-data-based legal research should make use of current data resources, continue to promote statistical science and computer science in research, and apply small-data research methods, and in the meanwhile pay attention to the combination of data and theory.

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The immortal strand hypothesis: still non-randomly segregating opinions

BioMolecular Concepts ◽

10.1515/bmc-2011-0053 ◽

2012 ◽

Vol 3 (3) ◽

pp. 203-211 ◽

Cited By ~ 2

Author(s):

Jane A. Wakeman ◽

Abdelkrim Hmadcha ◽

Bernat Soria ◽

Ramsay J. McFarlane

Keyword(s):

Stem Cells ◽

Cell Division ◽

Asymmetric Cell Division ◽

Current Data ◽

Immortal Strand ◽

Published Evidence ◽

Conflicting Evidence ◽

The Future ◽

Dna Strands ◽

Review Current

AbstractCairns first suggested a mechanism for protecting the genomes of stem cells (SCs) from replicative errors some 40 years ago when he proposed the immortal strand hypothesis, which argued for the inheritance of a so-called immortal strand by an SC following asymmetric SC divisions. To date, the existence of immortal strands remains contentious with published evidence arguing in favour of and against the retention of an immortal strand by asymmetrically dividing SCs. The conflicting evidence is derived from a diverse array of studies on adult SC types and is predominantly based on following the fate of labelled DNA strands during asymmetric cell division events. Here, we review current data, highlighting limitations of such labelling techniques, and suggest how interpretation of such data may be improved in the future.

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Book Review: Blockchain

Library Resources and Technical Services ◽

10.5860/lrts.64n3.139-139 ◽

2020 ◽

Vol 64 (3) ◽

pp. 139

Author(s):

Daniel Lincoln Nolting

Keyword(s):

Information Management ◽

Data Structures ◽

Current Data ◽

The Future ◽

Concise Guide

This small book is a concise guide to understanding something that may not be a profound part of libraries in the future. This book explains the basics of blockchain that library personnel will need to know in the event something like it replaces the current data structures of information management. As stated in the introduction, it is “not a guide or manual, but a conversation starter,” and the grant-subsidized research by the co-editors spearheads the complimentary chapters in an orderly manner (xi). Blockchain, with its time-stamped transactions residing in “safe” locations, is a concept that seems the be here to stay.

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Reinterpretation of LHC Results for New Physics: Status and recommendations after Run 2

SciPost Physics ◽

10.21468/scipostphys.9.2.022 ◽

2020 ◽

Vol 9 (2) ◽

Cited By ~ 1

Author(s):

Waleed Abdallah ◽

Shehu Abdus Salam ◽

Azar Ahmadov ◽

Amine Ahriche ◽

Gaël Alguero ◽

...

Keyword(s):

Open Data ◽

New Physics ◽

Current Data ◽

The Future ◽

The Status ◽

New Particles

We report on the status of efforts to improve the reinterpretation of searches and measurements at the LHC in terms of models for new physics, in the context of the LHC Reinterpretation Forum. We detail current experimental offerings in direct searches for new particles, measurements, technical implementations and Open Data, and provide a set of recommendations for further improving the presentation of LHC results in order to better enable reinterpretation in the future. We also provide a brief description of existing software reinterpretation frameworks and recent global analyses of new physics that make use of the current data.

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Modeling the COVID-19 epidemic in Okinawa

10.1101/2020.04.20.20071977 ◽

2020 ◽

Author(s):

Simone Pigolotti ◽

Davide Chiuchiu ◽

Paula Villa Martin ◽

Deepak Bhat

Keyword(s):

Intensive Care ◽

Intensive Care Units ◽

Doubling Time ◽

Large Fraction ◽

Current Data ◽

Negative Consequences ◽

The Future ◽

Containment Measures ◽

Death Count

We analyze current data on the COVID-19 spreading in Okinawa, Japan. We find that the initial spread is characterized by a doubling time of about 5 days. We implement a model to forecast the future spread under different scenarios. The model predicts that, if significant containment measures are not taken, a large fraction of the population will be infected with COVID-19, with the peak of the epidemic expected at the end of May and intensive care units having largely exceeded capacity. We analyzed scenarios implementing strong containment measures, similar to those imposed in Europe. The model predicts that an immediate implementation of strong containment measures (on the 19th of April) will significantly reduce the death count. We assess the negative consequences of these measures being implemented with a delay, or not being sufficiently stringent.

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