scholarly journals Using a Core Scientific Metadata Model in Large-Scale Facilities

2010 ◽  
Vol 5 (1) ◽  
pp. 106-118 ◽  
Author(s):  
Brian Matthews ◽  
Shoaib Sufi ◽  
Damian Flannery ◽  
Laurent Lerusse ◽  
Tom Griffin ◽  
...  
Keyword(s):  
Large Scale ◽  
Materials Science ◽  
Production Quality ◽  
Scientific Study ◽  
Quality Data ◽  
Structural Elements ◽  
Metadata Model ◽  
The Core ◽  
Future Developments ◽  
The Relationship

In this paper, we present the Core Scientific Metadata Model (CSMD), a model for the representation of scientific study metadata developed within the Science & Technology Facilities Council (STFC) to represent the data generated from scientific facilities. The model has been developed to allow management of and access to the data resources of the facilities in a uniform way, although we believe that the model has wider application, especially in areas of “structural science” such as chemistry, materials science and earth sciences. We give some motivations behind the development of the model, and an overview of its major structural elements, centred on the notion of a scientific study formed by a collection of specific investigations. We give some details of the model, with the description of each investigation associated with a particular experiment on a sample generating data, and the associated data holdings are then mapped to the investigation with the appropriate parameters. We then go on to discuss the instantiation of the metadata model within a production quality data management infrastructure, the Information CATalogue (ICAT), which has been developed within STFC for use in large-scale photon and neutron sources. Finally, we give an overview of the relationship between CSMD, and other initiatives, and give some directions for future developments.    

scholarly journals Scaling the State: Egypt in the Third Millennium BC

2014 ◽  
Author(s):  
Richard Bussmann
Keyword(s):  
Large Scale ◽  
The State ◽  
Early Writing ◽  
Central Administration ◽  
Local Models ◽  
Old Kingdom ◽  
The Third ◽  
The Core ◽  
Third Millennium Bc ◽  
The Relationship

Discussions of the early Egyptian state suffer from a weak consideration of scale. Egyptian archaeologists derive their arguments primarily from evidence of court cemeteries, elite tombs, and monuments of royal display. The material informs the analysis of kingship, early writing, and administration but it remains obscure how the core of the early Pharaonic state was embedded in the territory it claimed to administer. This paper suggests that the relationship between centre and hinterland is key for scaling the Egyptian state of the Old Kingdom (ca. 2,700-2,200 BC). Initially, central administration imagines Egypt using models at variance with provincial practice. The end of the Old Kingdom demarcates not the collapse, but the beginning of a large-scale state characterized by the coalescence of central and local models.

Learning Important Mathematics From Contextualization and Networked Collaboration—A Review of The SimCalc Vision and Contributions: Democratizing Access to Important Mathematics

2015 ◽  
Vol 46 (1) ◽  
pp. 125-129
Author(s):  
M. Kathleen Heid
Keyword(s):  
Large Scale ◽  
Educational Software ◽  
Mathematical Thinking ◽  
Leading Edge ◽  
Small Scale ◽  
Mathematical Concepts ◽  
Fundamental Theorem Of Calculus ◽  
The Core ◽  
The Impact ◽  
The Relationship

SimCalc is an educational software and curriculum program designed to introduce students as young as middle school age to fundamental mathematical concepts—change and variation—that underpin the transition from algebra to calculus. The core underlying mathematical idea is the Fundamental Theorem of Calculus, and through activities involving change and variation, SimCalc students acquire contextualized, networked, and collaborative experience with the relationship between derivatives and antiderivatives. The program had been guided from its birth by the late James J. Kaput, a mathematics education leader who thrived by working on the leading edge of the field. This book reports not only on the theory on which SimCalc is based but also on more than 15 years of small-scale and large-scale research on the impact of SimCalc. It also includes thoughtprovoking discussions of the ways in which the SimCalc approach relates to other work on engaging students in mathematical thinking.

scholarly journals Approaches for Recognizing Disease Genes Based on Network

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Quan Zou ◽  
Jinjin Li ◽  
Chunyu Wang ◽  
Xiangxiang Zeng
Keyword(s):  
Large Scale ◽  
Research Direction ◽  
Disease Association ◽  
Future Research ◽  
Disease Genes ◽  
The Core ◽  
Machine Learning Methods ◽  
Genetic Abnormalities ◽  
Gene Functions ◽  
The Relationship

Diseases are closely related to genes, thus indicating that genetic abnormalities may lead to certain diseases. The recognition of disease genes has long been a goal in biology, which may contribute to the improvement of health care and understanding gene functions, pathways, and interactions. However, few large-scale gene-gene association datasets, disease-disease association datasets, and gene-disease association datasets are available. A number of machine learning methods have been used to recognize disease genes based on networks. This paper states the relationship between disease and gene, summarizes the approaches used to recognize disease genes based on network, analyzes the core problems and challenges of the methods, and outlooks future research direction.

Relationship between total plasma homocysteine and the risk of aneurysms – a meta-analysis

VASA ◽  
2020 ◽  
pp. 1-6
Author(s):  
Hanji Zhang ◽  
Dexin Yin ◽  
Yue Zhao ◽  
Yezhou Li ◽  
Dejiang Yao ◽  
...  
Keyword(s):  
Large Scale ◽  
Meta Analysis ◽  
Single Species ◽  
Total Plasma ◽  
Control Groups ◽  
Randomized Controlled ◽  
Randomized Controlled Studies ◽  
The Difference ◽  
The Relationship ◽  
Healthy Participants

Summary: Our meta-analysis focused on the relationship between homocysteine (Hcy) level and the incidence of aneurysms and looked at the relationship between smoking, hypertension and aneurysms. A systematic literature search of Pubmed, Web of Science, and Embase databases (up to March 31, 2020) resulted in the identification of 19 studies, including 2,629 aneurysm patients and 6,497 healthy participants. Combined analysis of the included studies showed that number of smoking, hypertension and hyperhomocysteinemia (HHcy) in aneurysm patients was higher than that in the control groups, and the total plasma Hcy level in aneurysm patients was also higher. These findings suggest that smoking, hypertension and HHcy may be risk factors for the development and progression of aneurysms. Although the heterogeneity of meta-analysis was significant, it was found that the heterogeneity might come from the difference between race and disease species through subgroup analysis. Large-scale randomized controlled studies of single species and single disease species are needed in the future to supplement the accuracy of the results.

Evolution of Metastable Structures in Bimetallic Catalysts from Microscopy and Machine-Learning Molecular Dynamics

2020 ◽  
Author(s):  
Jin Soo Lim ◽  
Jonathan Vandermause ◽  
Matthijs A. van Spronsen ◽  
Albert Musaelian ◽  
Christopher R. O’Connor ◽  
...  
Keyword(s):  
Machine Learning ◽  
Molecular Dynamics ◽  
Large Scale ◽  
Materials Science ◽  
Complete Characterization ◽  
Layer By Layer ◽  
Surface Restructuring ◽  
Metastable Structures ◽  
Mechanistic Investigation ◽  
Underlying Mechanisms

Restructuring of interface plays a crucial role in materials science and heterogeneous catalysis. Bimetallic systems, in particular, often adopt very different composition and morphology at surfaces compared to the bulk. For the first time, we reveal a detailed atomistic picture of the long-timescale restructuring of Pd deposited on Ag, using microscopy, spectroscopy, and novel simulation methods. Encapsulation of Pd by Ag always precedes layer-by-layer dissolution of Pd, resulting in significant Ag migration out of the surface and extensive vacancy pits. These metastable structures are of vital catalytic importance, as Ag-encapsulated Pd remains much more accessible to reactants than bulk-dissolved Pd. The underlying mechanisms are uncovered by performing fast and large-scale machine-learning molecular dynamics, followed by our newly developed method for complete characterization of atomic surface restructuring events. Our approach is broadly applicable to other multimetallic systems of interest and enables the previously impractical mechanistic investigation of restructuring dynamics.

In a word, I’ve been there

2019 ◽  
pp. 246-256
Author(s):  
A. K. Zholkovsky
Keyword(s):  
The State ◽  
Female Characters ◽  
Political Situation ◽  
The Core ◽  
The Relationship ◽  
Core Problem ◽  
Typical Solution

In his article, A. Zholkovsky discusses the contemporary detective mini-series Otlichnitsa [A Straight-A Student], which mentions O. Mandelstam’s poem for children A Galosh [Kalosha]: more than a fleeting mention, this poem prompts the characters and viewers alike to solve the mystery of its authorship. According to the show’s plot, the fact that Mandelstam penned the poem surfaces when one of the female characters confesses her involvement in his arrest. Examining this episode, Zholkovsky seeks structural parallels with the show in V. Aksyonov’s Overstocked Packaging Barrels [Zatovarennaya bochkotara] and even in B. Pasternak’s Doctor Zhivago [Doktor Zhivago]: in each of those, a member of the Soviet intelligentsia who has developed a real fascination with some unique but unattainable object is shocked to realize that the establishment have long enjoyed this exotic object without restrictions. We observe, therefore, a typical solution to the core problem of the Soviet, and more broadly, Russian cultural-political situation: the relationship between the intelligentsia and the state, and the resolution is not a confrontation, but reconciliation.

New ''Cold War''

2020 ◽  
pp. 27-34
Author(s):  
Vladimir Batiuk
Keyword(s):  
Cold War ◽  
Nuclear Weapons ◽  
Armed Conflict ◽  
Large Scale ◽  
Arms Race ◽  
Ideological Struggle ◽  
Nuclear Arms Race ◽  
The Cold War ◽  
The Relationship ◽  
Nuclear Arms

In this article, the ''Cold War'' is understood as a situation where the relationship between the leading States is determined by ideological confrontation and, at the same time, the presence of nuclear weapons precludes the development of this confrontation into a large-scale armed conflict. Such a situation has developed in the years 1945–1989, during the first Cold War. We see that something similar is repeated in our time-with all the new nuances in the ideological struggle and in the nuclear arms race.

The relationship of magnates and the szlachta of the Great Principality/Grand Duchy of Lithuania with Russia in 1733

2020 ◽  
Author(s):  
А.В. Мацук
Keyword(s):  
Free Choice ◽  
Russian Empire ◽  
The Core ◽  
The Russian Empire ◽  
Grand Duchy Of Lithuania ◽  
Relationship Of ◽  
The Relationship ◽  
Grand Duchy

В статье исследуются события бескоролевья 1733 г. в Речи Посполитой. Согласно «трактату Левенвольде» компромиссным кандидатом на избрание монархом Речи Посполитой был португальский инфант дон Мануэль, которого предложила Австрия. Россия больше склонялась к кандидатуре «пяста». Россия оказалась не подготовленной к началу бескоролевья. Бывшие российские союзники магнаты ВКЛ рассорились с российским послом Фридрихом Казимиром Левенвольде и перешли на сторону Франции. В конце февраля 1733 г. в ВКЛ направили Юрия Ливена, который от имени российской царицы предложил поддержку в получении короны Михаилу Вишневецкому и Павлу Сангушке. Принятое на конвокационном сейме решение об избрании королем «пяста» и католика показало популярность Станислава Лещинского. В результате вслед за Австрией Россия поддержала кандидатом на корону Фридриха Августа. Магнаты ВКЛ до последнего оставались конкурентами о короне. Оппозиция Лещинскому объединилась под лозунгом защиты «вольного выбора» и поэтому в ней остались кандидаты «пясты», которые не могли уступить друг другу, и согласились на компромисс – кандидатуру Фридриха Августа. Для противодействия возможному избранию Лещинского Россия создала в ВКЛ новоградскую конфедерацию. Ее организатором стал новоградский воевода Николай Фаустин Радзивилл. Эта конфедерация становится основой Генеральной Варшавской конфедерации, которая 5 октября 1733 г. избирает королем саксонского курфюрста. The article examines the events of the «kingless» year of 1733 in the Polish-Lithuanian Commonwealth. According to the Levenwolde Treaties the compromise candidate for the Commonwealth’s throne was the Portuguese Infante Don Manuel, who’s candidacy was proposed by Austria. Russia, in turn, leaned towards the «pyasta» candidate. The Russian Empire was clearly unprepared for the start of the kingless period. Russia’s former allies – magnates of the Grand Duchy of Lithuania – came into conflict with the Russian ambassador Frederick Kazimir Levenwolde and sided with France. In late February of 1733, Empress Anna Ioanovna of Russia sent Yuri Liven to the Grand Duchy of Lithuania, who offered official support in the struggle for the crown to Mikhail Vishnevetsky and Pavel Sangushka. The electoral decision made at the Sejm proved the popularity of the «pyast» and Catholic candidates, specifically – Stanislaus Leschinsky. In turn, Russia – following Austria – showed its support for the candidacy of Frederick August. The magnates of the Grand Duchy of Lithuania remained in opposition in the crown issue until the very last. Opposition to Leschinsky was united under the motto of «free choice». For that reason, it was comprised of «pyasta» candidates, who were in a deadlock with one another, and were now ready for the compromise candidacy of Frederick Augustus. In order to counter the possible election of Leschinsky, Russia created the Novograd Confederation in the Grand Duchy of Lithuania. It was organized by the Novograd Voevoda Faustin Radzivill. This confederation became the core of the General Warsaw Confederation that – on October 5th 1733 – elected the Saxon King to the throne of the Polish-Lithuanian Commonwealth.

Investigating Diseases and Chemicals in COVID-19 Literature with Text Mining (Preprint)

2020 ◽  
Author(s):  
Amir Karami ◽  
Brandon Bookstaver ◽  
Melissa Nolan
Keyword(s):  
Text Mining ◽  
Literature Review ◽  
Topic Modeling ◽  
Large Scale ◽  
Clinical Manifestations ◽  
International Health ◽  
Research Papers ◽  
Strategic Plans ◽  
Funding Agencies ◽  
The Relationship

BACKGROUND The COVID-19 pandemic has impacted nearly all aspects of life and has posed significant threats to international health and the economy. Given the rapidly unfolding nature of the current pandemic, there is an urgent need to streamline literature synthesis of the growing scientific research to elucidate targeted solutions. While traditional systematic literature review studies provide valuable insights, these studies have restrictions, including analyzing a limited number of papers, having various biases, being time-consuming and labor-intensive, focusing on a few topics, incapable of trend analysis, and lack of data-driven tools. OBJECTIVE This study fills the mentioned restrictions in the literature and practice by analyzing two biomedical concepts, clinical manifestations of disease and therapeutic chemical compounds, with text mining methods in a corpus containing COVID-19 research papers and find associations between the two biomedical concepts. METHODS This research has collected papers representing COVID-19 pre-prints and peer-reviewed research published in 2020. We used frequency analysis to find highly frequent manifestations and therapeutic chemicals, representing the importance of the two biomedical concepts. This study also applied topic modeling to find the relationship between the two biomedical concepts. RESULTS We analyzed 9,298 research papers published through May 5, 2020 and found 3,645 disease-related and 2,434 chemical-related articles. The most frequent clinical manifestations of disease terminology included COVID-19, SARS, cancer, pneumonia, fever, and cough. The most frequent chemical-related terminology included Lopinavir, Ritonavir, Oxygen, Chloroquine, Remdesivir, and water. Topic modeling provided 25 categories showing relationships between our two overarching categories. These categories represent statistically significant associations between multiple aspects of each category, some connections of which were novel and not previously identified by the scientific community. CONCLUSIONS Appreciation of this context is vital due to the lack of a systematic large-scale literature review survey and the importance of fast literature review during the current COVID-19 pandemic for developing treatments. This study is beneficial to researchers for obtaining a macro-level picture of literature, to educators for knowing the scope of literature, to journals for exploring most discussed disease symptoms and pharmaceutical targets, and to policymakers and funding agencies for creating scientific strategic plans regarding COVID-19.

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