Recent progress on geometric algorithms for approximating functions: Toward applications to data analysis

2006 ◽  
Vol 90 (3) ◽  
pp. 1-12 ◽  
Author(s):  
Takeshi Tokuyama
Keyword(s):  
Data Analysis ◽  
Recent Progress ◽  
Geometric Algorithms

scholarly journals Antioxidative Defense and Fertility Rate in the Assessment of Reprotoxicity Risk Posed by Global Warming

Antioxidants ◽  
2019 ◽  
Vol 8 (12) ◽  
pp. 622 ◽  
Author(s):  
Costantino Parisi ◽  
Giulia Guerriero
Keyword(s):  
Global Warming ◽  
Data Analysis ◽  
Temperature Rise ◽  
Temperature Fluctuation ◽  
Recent Progress ◽  
Fertility Rate ◽  
Antioxidative Defense ◽  
Influence Of Temperature ◽  
Animal Data ◽  
Report Data

The objective of this review is to briefly summarize the recent progress in studies done on the assessment of reprotoxicity risk posed by global warming for the foundation of strategic tool in ecosystem-based adaptation. The selected animal data analysis that was used in this paper focuses on antioxidative markers and fertility rate estimated over the period 2000–2019. We followed a phylogenetic methodology in order to report data on a panel of selected organisms that show dangerous effects. The oxidative damage studies related to temperature fluctuation occurring in biosentinels of different invertebrate and vertebrate classes show a consistently maintained physiological defense. Furthermore, the results from homeothermic and poikilothermic species in our study highlight the influence of temperature rise on reprotoxicity.

Recent Progress in FT Data Analysis Methods : Applications to Planetary and Laboratory Spectra

2001 ◽  
Author(s):  
D. Jacquemart ◽  
V. Dana ◽  
J.Y. Mandin ◽  
J.P. Maillard ◽  
E. Lellouch ◽  
...  
Keyword(s):  
Data Analysis ◽  
Recent Progress ◽  
Analysis Methods ◽  
Data Analysis Methods

Challenges and promise at the interface of metaproteomics and genomics: an overview of recent progress in metaproteogenomic data analysis

2019 ◽  
Vol 16 (5) ◽  
pp. 375-390 ◽  
Author(s):  
Henning Schiebenhoefer ◽  
Tim Van Den Bossche ◽  
Stephan Fuchs ◽  
Bernhard Y. Renard ◽  
Thilo Muth ◽  
...  
Keyword(s):  
Data Analysis ◽  
Recent Progress

scholarly journals Two-dimensional infrared spectroscopy: an emerging analytical tool?

The Analyst ◽  
2020 ◽  
Vol 145 (6) ◽  
pp. 2014-2024
Author(s):  
Robby Fritzsch ◽  
Samantha Hume ◽  
Lucy Minnes ◽  
Matthew J. Baker ◽  
Glenn A. Burley ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Data Analysis ◽  
Ir Spectroscopy ◽  
Recent Progress ◽  
Analytical Tool ◽  
Two Dimensional ◽  
Laser Technology ◽  
2D Ir ◽  
Two Dimensional Infrared Spectroscopy ◽  
Data Analysis Methods

Recent progress in laser technology and data analysis methods has enabled high throughput applications of ultrafast two-dimensional infrared (2D-IR) spectroscopy measurements and opened the door to analytical applications.

scholarly journals Stochastic and continuous gravitational wave analysis pipelines for pulsar timing array data

2012 ◽  
Vol 8 (S291) ◽  
pp. 178-178
Author(s):  
Justin Ellis ◽  
Fredrick Jenet ◽  
Xavier Siemens ◽  
Maura McLaughlin
Keyword(s):  
Data Analysis ◽  
Gravitational Waves ◽  
Recent Progress ◽  
Simulated Data ◽  
Wave Analysis ◽  
Stochastic Background ◽  
Pulsar Timing ◽  
Timing Data ◽  
Timing Models ◽  
Pulsar Timing Array

AbstractThe Nanohertz Observatory for Gravitational Waves (NANOGrav) collaboration aims to detect gravitational waves (GWs) through the precise timing of millisecond pulsars. GWs will come in the form of a stochastic background, continuous sources and burst sources. Here we will review recent progress on the development of data analysis pipelines aimed at the detection of a stochastic background as well as continuous sources. We will introduce the Optimal Statistic and F-Statistic methods that are used in the stochastic and continuous pipelines, respectively. Both pipelines are fully functional on real pulsar timing data and take into account the timing models for each pulsar. Finally, we will present the efficacy of each pipeline on locally simulated data as well as data from the 2012 IPTA data challenge.

Electron-Mirror Microscopic Aspects of Ferroelectric Domains of BaTiO3 And Ca2Sr (C2H5CO2)6

1970 ◽  
Vol 28 ◽  
pp. 478-479
Author(s):  
Teruo Someya ◽  
Jinzo Kobayashi
Keyword(s):  
Surface Layer ◽  
Electric Fields ◽  
Quantitative Study ◽  
Recent Progress ◽  
Ferroelectric Domain ◽  
Resolving Power ◽  
Surface Pattern ◽  
Crystal Surfaces ◽  
One Dimensional ◽  
Ferroelectric Domains

Recent progress in the electron-mirror microscopy (EMM), e.g., an improvement of its resolving power together with an increase of the magnification makes it useful for investigating the ferroelectric domain physics. English has recently observed the domain texture in the surface layer of BaTiO3. The present authors ) have developed a theory by which one can evaluate small one-dimensional electric fields and/or topographic step heights in the crystal surfaces from their EMM pictures. This theory was applied to a quantitative study of the surface pattern of BaTiO3).

Microchemical imaging in biomedical research

1992 ◽  
Vol 50 (2) ◽  
pp. 1118-1119
Author(s):  
P. Ingram
Keyword(s):  
Data Analysis ◽  
Electron Probe ◽  
The Other ◽  
X Ray ◽  
Cell Element ◽  
Physiological Information ◽  
Functional States ◽  
Elemental Maps ◽  
Electron Energy Loss ◽  
Secondary Ion

It is well established that unique physiological information can be obtained by rapidly freezing cells in various functional states and analyzing the cell element content and distribution by electron probe x-ray microanalysis. (The other techniques of microanalysis that are amenable to imaging, such as electron energy loss spectroscopy, secondary ion mass spectroscopy, particle induced x-ray emission etc., are not addressed in this tutorial.) However, the usual processes of data acquisition are labor intensive and lengthy, requiring that x-ray counts be collected from individually selected regions of each cell in question and that data analysis be performed subsequent to data collection. A judicious combination of quantitative elemental maps and static raster probes adds not only an additional overall perception of what is occurring during a particular biological manipulation or event, but substantially increases data productivity. Recent advances in microcomputer instrumentation and software have made readily feasible the acquisition and processing of digital quantitative x-ray maps of one to several cells.

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